Datasets:
CohenQu
/
the-stack-v2-dedup-Python

Dataset card Data Studio Files
xet
Community
1
index
int64
0
100k
blob_id
stringlengths
40
40
code
stringlengths
7
7.27M
steps
listlengths
1
1.25k
error
bool
2 classes
98,600
bd4bfd2045243258a2936d602e25e747bd5817ce
from xai.brain.wordbase.nouns._quiver import _QUIVER #calss header class _QUIVERED(_QUIVER, ): def __init__(self,): _QUIVER.__init__(self) self.name = "QUIVERED" self.specie = 'nouns' self.basic = "quiver" self.jsondata = {}
[ "\n\nfrom xai.brain.wordbase.nouns._quiver import _QUIVER\n\n#calss header\nclass _QUIVERED(_QUIVER, ):\n\tdef __init__(self,): \n\t\t_QUIVER.__init__(self)\n\t\tself.name = \"QUIVERED\"\n\t\tself.specie = 'nouns'\n\t\tself.basic = \"quiver\"\n\t\tself.jsondata = {}\n", "from xai.brain.wordbase.nouns._quiver import _QUIVER\n\n\nclass _QUIVERED(_QUIVER):\n\n def __init__(self):\n _QUIVER.__init__(self)\n self.name = 'QUIVERED'\n self.specie = 'nouns'\n self.basic = 'quiver'\n self.jsondata = {}\n", "<import token>\n\n\nclass _QUIVERED(_QUIVER):\n\n def __init__(self):\n _QUIVER.__init__(self)\n self.name = 'QUIVERED'\n self.specie = 'nouns'\n self.basic = 'quiver'\n self.jsondata = {}\n", "<import token>\n\n\nclass _QUIVERED(_QUIVER):\n <function token>\n", "<import token>\n<class token>\n" ]
false
98,601
fe0b06af156219034a08468191e566d9c35a2d6d
from idc import * base = 0x4000000 seg_size = 0x400000 address = base add_segm_ex(base, base + seg_size, 0X1, 2, 1, 2, ADDSEG_NOSREG) set_segm_name(base, "patch") set_segm_class(base, "CODE") set_segm_type(base, 2) patch_byte(0x4000000, 0xe0) patch_byte(0x4000001, 0x3) patch_byte(0x4000002, 0x14) patch_byte(0x4000003, 0x2a) patch_byte(0x4000004, 0xf3) patch_byte(0x4000005, 0x3) patch_byte(0x4000006, 0x7) patch_byte(0x4000007, 0x2a) patch_byte(0x4000008, 0x7f) patch_byte(0x4000009, 0x2) patch_byte(0x400000a, 0xa) patch_byte(0x400000b, 0x6b) patch_byte(0x400000c, 0x7f) patch_byte(0x400000d, 0x2) patch_byte(0x400000e, 0xb) patch_byte(0x400000f, 0x6b) patch_byte(0x4000010, 0x7f) patch_byte(0x4000011, 0x2) patch_byte(0x4000012, 0x8) patch_byte(0x4000013, 0x6b) patch_byte(0x4000014, 0xe7) patch_byte(0x4000015, 0x3) patch_byte(0x4000016, 0x13) patch_byte(0x4000017, 0x2a) patch_byte(0x4000018, 0xf4) patch_byte(0x4000019, 0x3) patch_byte(0x400001a, 0x0) patch_byte(0x400001b, 0x2a) 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patch_byte(0x4000190, 0xf4) patch_byte(0x4000191, 0x3) patch_byte(0x4000192, 0x0) patch_byte(0x4000193, 0x2a) patch_byte(0x4000194, 0xb3) patch_byte(0x4000195, 0x1) patch_byte(0x4000196, 0x0) patch_byte(0x4000197, 0x17) patch_byte(0x4000198, 0xe0) patch_byte(0x4000199, 0x3) patch_byte(0x400019a, 0x14) patch_byte(0x400019b, 0x2a) patch_byte(0x400019c, 0xf3) patch_byte(0x400019d, 0x3) patch_byte(0x400019e, 0x7) patch_byte(0x400019f, 0x2a) patch_byte(0x40001a0, 0x7f) patch_byte(0x40001a1, 0x2) patch_byte(0x40001a2, 0xa) patch_byte(0x40001a3, 0x6b) patch_byte(0x40001a4, 0x7f) patch_byte(0x40001a5, 0x2) patch_byte(0x40001a6, 0xe) patch_byte(0x40001a7, 0x6b) patch_byte(0x40001a8, 0xe7) patch_byte(0x40001a9, 0x3) patch_byte(0x40001aa, 0x13) patch_byte(0x40001ab, 0x2a) patch_byte(0x40001ac, 0xf4) patch_byte(0x40001ad, 0x3) patch_byte(0x40001ae, 0x0) patch_byte(0x40001af, 0x2a) patch_byte(0x40001b0, 0x83) patch_byte(0x40001b1, 0x1) patch_byte(0x40001b2, 0x0) patch_byte(0x40001b3, 0x17) patch_byte(0x7a0, 0xe7) patch_byte(0x7a1, 0x17) patch_byte(0x7a2, 0x9f) patch_byte(0x7a3, 0x1a) patch_byte(0x7a8, 0x6f) patch_byte(0x7a9, 0xfe) patch_byte(0x7aa, 0xff) patch_byte(0x7ab, 0x14) patch_byte(0x40001b4, 0xe0) patch_byte(0x40001b5, 0x3) patch_byte(0x40001b6, 0x14) patch_byte(0x40001b7, 0x2a) patch_byte(0x40001b8, 0xf3) patch_byte(0x40001b9, 0x3) patch_byte(0x40001ba, 0x7) patch_byte(0x40001bb, 0x2a) patch_byte(0x40001bc, 0x7f) patch_byte(0x40001bd, 0x2) patch_byte(0x40001be, 0xa) patch_byte(0x40001bf, 0x6b) patch_byte(0x40001c0, 0x7f) patch_byte(0x40001c1, 0x2) patch_byte(0x40001c2, 0xb) patch_byte(0x40001c3, 0x6b) patch_byte(0x40001c4, 0x7f) patch_byte(0x40001c5, 0x2) patch_byte(0x40001c6, 0xc) patch_byte(0x40001c7, 0x6b) patch_byte(0x40001c8, 0x7f) patch_byte(0x40001c9, 0x2) patch_byte(0x40001ca, 0x10) patch_byte(0x40001cb, 0x6b) patch_byte(0x40001cc, 0x7f) patch_byte(0x40001cd, 0x2) patch_byte(0x40001ce, 0x12) patch_byte(0x40001cf, 0x6b) patch_byte(0x40001d0, 0x7f) patch_byte(0x40001d1, 0x2) patch_byte(0x40001d2, 0x2) patch_byte(0x40001d3, 0x6b) patch_byte(0x40001d4, 0x87) patch_byte(0x40001d5, 0x81) patch_byte(0x40001d6, 0xba) patch_byte(0x40001d7, 0x52) patch_byte(0x40001d8, 0x87) patch_byte(0x40001d9, 0xc) patch_byte(0x40001da, 0x8f) patch_byte(0x40001db, 0x72) patch_byte(0x40001dc, 0xf4) patch_byte(0x40001dd, 0x3) patch_byte(0x40001de, 0x1) patch_byte(0x40001df, 0x2a) patch_byte(0x40001e0, 0x7f) patch_byte(0x40001e1, 0x2) patch_byte(0x40001e2, 0x4) patch_byte(0x40001e3, 0x6b) patch_byte(0x40001e4, 0x87) patch_byte(0x40001e5, 0x81) patch_byte(0x40001e6, 0xba) patch_byte(0x40001e7, 0x52) patch_byte(0x40001e8, 0x87) patch_byte(0x40001e9, 0xc) patch_byte(0x40001ea, 0x8f) patch_byte(0x40001eb, 0x72) patch_byte(0x40001ec, 0xf4) patch_byte(0x40001ed, 0x3) patch_byte(0x40001ee, 0x5) patch_byte(0x40001ef, 0x2a) patch_byte(0x40001f0, 0x7f) patch_byte(0x40001f1, 0x2) patch_byte(0x40001f2, 0x9) patch_byte(0x40001f3, 0x6b) patch_byte(0x40001f4, 0xe7) patch_byte(0x40001f5, 0x3) patch_byte(0x40001f6, 0x13) patch_byte(0x40001f7, 0x2a) patch_byte(0x40001f8, 0xf4) patch_byte(0x40001f9, 0x3) patch_byte(0x40001fa, 0x0) patch_byte(0x40001fb, 0x2a) patch_byte(0x40001fc, 0x94) patch_byte(0x40001fd, 0x1) patch_byte(0x40001fe, 0x0) patch_byte(0x40001ff, 0x17) patch_byte(0x86c, 0x52) patch_byte(0x86d, 0xfe) patch_byte(0x86e, 0xff) patch_byte(0x86f, 0x14) patch_byte(0x4000200, 0xe0) patch_byte(0x4000201, 0x3) patch_byte(0x4000202, 0x14) patch_byte(0x4000203, 0x2a) patch_byte(0x4000204, 0xf3) patch_byte(0x4000205, 0x3) patch_byte(0x4000206, 0x7) patch_byte(0x4000207, 0x2a) patch_byte(0x4000208, 0x7f) patch_byte(0x4000209, 0x2) patch_byte(0x400020a, 0xa) patch_byte(0x400020b, 0x6b) patch_byte(0x400020c, 0x7f) patch_byte(0x400020d, 0x2) patch_byte(0x400020e, 0xb) patch_byte(0x400020f, 0x6b) patch_byte(0x4000210, 0x7f) patch_byte(0x4000211, 0x2) patch_byte(0x4000212, 0xc) patch_byte(0x4000213, 0x6b) patch_byte(0x4000214, 0x7f) patch_byte(0x4000215, 0x2) patch_byte(0x4000216, 0x10) patch_byte(0x4000217, 0x6b) patch_byte(0x4000218, 0x7f) patch_byte(0x4000219, 0x2) patch_byte(0x400021a, 0x12) patch_byte(0x400021b, 0x6b) patch_byte(0x400021c, 0x7f) patch_byte(0x400021d, 0x2) patch_byte(0x400021e, 0x2) patch_byte(0x400021f, 0x6b) patch_byte(0x4000220, 0x87) patch_byte(0x4000221, 0x81) patch_byte(0x4000222, 0xba) patch_byte(0x4000223, 0x52) patch_byte(0x4000224, 0x87) patch_byte(0x4000225, 0xc) patch_byte(0x4000226, 0x8f) patch_byte(0x4000227, 0x72) patch_byte(0x4000228, 0xf4) patch_byte(0x4000229, 0x3) patch_byte(0x400022a, 0x1) patch_byte(0x400022b, 0x2a) patch_byte(0x400022c, 0x7f) patch_byte(0x400022d, 0x2) patch_byte(0x400022e, 0x4) patch_byte(0x400022f, 0x6b) patch_byte(0x4000230, 0x87) patch_byte(0x4000231, 0x81) patch_byte(0x4000232, 0xba) patch_byte(0x4000233, 0x52) patch_byte(0x4000234, 0x87) patch_byte(0x4000235, 0xc) patch_byte(0x4000236, 0x8f) patch_byte(0x4000237, 0x72) patch_byte(0x4000238, 0xf4) patch_byte(0x4000239, 0x3) patch_byte(0x400023a, 0x5) patch_byte(0x400023b, 0x2a) patch_byte(0x400023c, 0x7f) patch_byte(0x400023d, 0x2) patch_byte(0x400023e, 0x9) patch_byte(0x400023f, 0x6b) patch_byte(0x4000240, 0xe7) patch_byte(0x4000241, 0x3) patch_byte(0x4000242, 0x13) patch_byte(0x4000243, 0x2a) patch_byte(0x4000244, 0xf4) patch_byte(0x4000245, 0x3) patch_byte(0x4000246, 0x0) patch_byte(0x4000247, 0x2a) patch_byte(0x4000248, 0x81) patch_byte(0x4000249, 0x1) patch_byte(0x400024a, 0x0) patch_byte(0x400024b, 0x17) patch_byte(0x838, 0x72) patch_byte(0x839, 0xfe) patch_byte(0x83a, 0xff) patch_byte(0x83b, 0x14)
[ "\nfrom idc import *\nbase = 0x4000000\nseg_size = 0x400000\naddress = base\nadd_segm_ex(base, base + seg_size, 0X1, 2, 1, 2, ADDSEG_NOSREG)\nset_segm_name(base, \"patch\")\nset_segm_class(base, \"CODE\")\nset_segm_type(base, 2)\npatch_byte(0x4000000, 0xe0)\npatch_byte(0x4000001, 0x3)\npatch_byte(0x4000002, 0x14)\npatch_byte(0x4000003, 0x2a)\npatch_byte(0x4000004, 0xf3)\npatch_byte(0x4000005, 0x3)\npatch_byte(0x4000006, 0x7)\npatch_byte(0x4000007, 0x2a)\npatch_byte(0x4000008, 0x7f)\npatch_byte(0x4000009, 0x2)\npatch_byte(0x400000a, 0xa)\npatch_byte(0x400000b, 0x6b)\npatch_byte(0x400000c, 0x7f)\npatch_byte(0x400000d, 0x2)\npatch_byte(0x400000e, 0xb)\npatch_byte(0x400000f, 0x6b)\npatch_byte(0x4000010, 0x7f)\npatch_byte(0x4000011, 0x2)\npatch_byte(0x4000012, 0x8)\npatch_byte(0x4000013, 0x6b)\npatch_byte(0x4000014, 0xe7)\npatch_byte(0x4000015, 0x3)\npatch_byte(0x4000016, 0x13)\npatch_byte(0x4000017, 0x2a)\npatch_byte(0x4000018, 0xf4)\npatch_byte(0x4000019, 0x3)\npatch_byte(0x400001a, 0x0)\npatch_byte(0x400001b, 0x2a)\npatch_byte(0x400001c, 0xed)\npatch_byte(0x400001d, 0x1)\npatch_byte(0x400001e, 0x0)\npatch_byte(0x400001f, 0x17)\npatch_byte(0x754, 0x2b)\npatch_byte(0x755, 0xfe)\npatch_byte(0x756, 0xff)\npatch_byte(0x757, 0x14)\npatch_byte(0x4000020, 0x47)\npatch_byte(0x4000021, 0x0)\npatch_byte(0x4000022, 0x0)\npatch_byte(0x4000023, 0x35)\npatch_byte(0x4000024, 0xa7)\npatch_byte(0x4000025, 0x1)\npatch_byte(0x4000026, 0x0)\npatch_byte(0x4000027, 0x34)\npatch_byte(0x4000028, 0xe0)\npatch_byte(0x4000029, 0x3)\npatch_byte(0x400002a, 0x14)\npatch_byte(0x400002b, 0x2a)\npatch_byte(0x400002c, 0xf3)\npatch_byte(0x400002d, 0x3)\npatch_byte(0x400002e, 0x7)\npatch_byte(0x400002f, 0x2a)\npatch_byte(0x4000030, 0x7f)\npatch_byte(0x4000031, 0x2)\npatch_byte(0x4000032, 0xa)\npatch_byte(0x4000033, 0x6b)\npatch_byte(0x4000034, 0x7f)\npatch_byte(0x4000035, 0x2)\npatch_byte(0x4000036, 0xb)\npatch_byte(0x4000037, 0x6b)\npatch_byte(0x4000038, 0x7f)\npatch_byte(0x4000039, 0x2)\npatch_byte(0x400003a, 0xc)\npatch_byte(0x400003b, 0x6b)\npatch_byte(0x400003c, 0x7f)\npatch_byte(0x400003d, 0x2)\npatch_byte(0x400003e, 0x10)\npatch_byte(0x400003f, 0x6b)\npatch_byte(0x4000040, 0x7f)\npatch_byte(0x4000041, 0x2)\npatch_byte(0x4000042, 0x12)\npatch_byte(0x4000043, 0x6b)\npatch_byte(0x4000044, 0x7f)\npatch_byte(0x4000045, 0x2)\npatch_byte(0x4000046, 0x2)\npatch_byte(0x4000047, 0x6b)\npatch_byte(0x4000048, 0x87)\npatch_byte(0x4000049, 0x81)\npatch_byte(0x400004a, 0xba)\npatch_byte(0x400004b, 0x52)\npatch_byte(0x400004c, 0x87)\npatch_byte(0x400004d, 0xc)\npatch_byte(0x400004e, 0x8f)\npatch_byte(0x400004f, 0x72)\npatch_byte(0x4000050, 0xf4)\npatch_byte(0x4000051, 0x3)\npatch_byte(0x4000052, 0x1)\npatch_byte(0x4000053, 0x2a)\npatch_byte(0x4000054, 0xf5)\npatch_byte(0x4000055, 0x1)\npatch_byte(0x4000056, 0x0)\npatch_byte(0x4000057, 0x17)\npatch_byte(0x4000058, 0xe0)\npatch_byte(0x4000059, 0x3)\npatch_byte(0x400005a, 0x14)\npatch_byte(0x400005b, 0x2a)\npatch_byte(0x400005c, 0xf3)\npatch_byte(0x400005d, 0x3)\npatch_byte(0x400005e, 0x7)\npatch_byte(0x400005f, 0x2a)\npatch_byte(0x4000060, 0x7f)\npatch_byte(0x4000061, 0x2)\npatch_byte(0x4000062, 0xa)\npatch_byte(0x4000063, 0x6b)\npatch_byte(0x4000064, 0x7f)\npatch_byte(0x4000065, 0x2)\npatch_byte(0x4000066, 0xb)\npatch_byte(0x4000067, 0x6b)\npatch_byte(0x4000068, 0x7f)\npatch_byte(0x4000069, 0x2)\npatch_byte(0x400006a, 0xc)\npatch_byte(0x400006b, 0x6b)\npatch_byte(0x400006c, 0x7f)\npatch_byte(0x400006d, 0x2)\npatch_byte(0x400006e, 0x10)\npatch_byte(0x400006f, 0x6b)\npatch_byte(0x4000070, 0x7f)\npatch_byte(0x4000071, 0x2)\npatch_byte(0x4000072, 0x11)\npatch_byte(0x4000073, 0x6b)\npatch_byte(0x4000074, 0xe7)\npatch_byte(0x4000075, 0x3)\npatch_byte(0x4000076, 0x13)\npatch_byte(0x4000077, 0x2a)\npatch_byte(0x4000078, 0xf4)\npatch_byte(0x4000079, 0x3)\npatch_byte(0x400007a, 0x0)\npatch_byte(0x400007b, 0x2a)\npatch_byte(0x400007c, 0xe0)\npatch_byte(0x400007d, 0x1)\npatch_byte(0x400007e, 0x0)\npatch_byte(0x400007f, 0x17)\npatch_byte(0x760, 0xe7)\npatch_byte(0x761, 0x17)\npatch_byte(0x762, 0x9f)\npatch_byte(0x763, 0x1a)\npatch_byte(0x764, 0x2f)\npatch_byte(0x765, 0xfe)\npatch_byte(0x766, 0xff)\npatch_byte(0x767, 0x14)\npatch_byte(0x4000080, 0x47)\npatch_byte(0x4000081, 0x0)\npatch_byte(0x4000082, 0x0)\npatch_byte(0x4000083, 0x35)\npatch_byte(0x4000084, 0x27)\npatch_byte(0x4000085, 0x1)\npatch_byte(0x4000086, 0x0)\npatch_byte(0x4000087, 0x34)\npatch_byte(0x4000088, 0xe0)\npatch_byte(0x4000089, 0x3)\npatch_byte(0x400008a, 0x14)\npatch_byte(0x400008b, 0x2a)\npatch_byte(0x400008c, 0xf3)\npatch_byte(0x400008d, 0x3)\npatch_byte(0x400008e, 0x7)\npatch_byte(0x400008f, 0x2a)\npatch_byte(0x4000090, 0x7f)\npatch_byte(0x4000091, 0x2)\npatch_byte(0x4000092, 0xa)\npatch_byte(0x4000093, 0x6b)\npatch_byte(0x4000094, 0x7f)\npatch_byte(0x4000095, 0x2)\npatch_byte(0x4000096, 0xb)\npatch_byte(0x4000097, 0x6b)\npatch_byte(0x4000098, 0x7f)\npatch_byte(0x4000099, 0x2)\npatch_byte(0x400009a, 0xc)\npatch_byte(0x400009b, 0x6b)\npatch_byte(0x400009c, 0x7f)\npatch_byte(0x400009d, 0x2)\npatch_byte(0x400009e, 0x10)\npatch_byte(0x400009f, 0x6b)\npatch_byte(0x40000a0, 0x7f)\npatch_byte(0x40000a1, 0x2)\npatch_byte(0x40000a2, 0x12)\npatch_byte(0x40000a3, 0x6b)\npatch_byte(0x40000a4, 0xdc)\npatch_byte(0x40000a5, 0x1)\npatch_byte(0x40000a6, 0x0)\npatch_byte(0x40000a7, 0x17)\npatch_byte(0x40000a8, 0xe0)\npatch_byte(0x40000a9, 0x3)\npatch_byte(0x40000aa, 0x14)\npatch_byte(0x40000ab, 0x2a)\npatch_byte(0x40000ac, 0xf3)\npatch_byte(0x40000ad, 0x3)\npatch_byte(0x40000ae, 0x7)\npatch_byte(0x40000af, 0x2a)\npatch_byte(0x40000b0, 0x7f)\npatch_byte(0x40000b1, 0x2)\npatch_byte(0x40000b2, 0xa)\npatch_byte(0x40000b3, 0x6b)\npatch_byte(0x40000b4, 0x7f)\npatch_byte(0x40000b5, 0x2)\npatch_byte(0x40000b6, 0xb)\npatch_byte(0x40000b7, 0x6b)\npatch_byte(0x40000b8, 0x7f)\npatch_byte(0x40000b9, 0x2)\npatch_byte(0x40000ba, 0xc)\npatch_byte(0x40000bb, 0x6b)\npatch_byte(0x40000bc, 0x7f)\npatch_byte(0x40000bd, 0x2)\npatch_byte(0x40000be, 0xd)\npatch_byte(0x40000bf, 0x6b)\npatch_byte(0x40000c0, 0xe7)\npatch_byte(0x40000c1, 0x3)\npatch_byte(0x40000c2, 0x13)\npatch_byte(0x40000c3, 0x2a)\npatch_byte(0x40000c4, 0xf4)\npatch_byte(0x40000c5, 0x3)\npatch_byte(0x40000c6, 0x0)\npatch_byte(0x40000c7, 0x2a)\npatch_byte(0x40000c8, 0xb4)\npatch_byte(0x40000c9, 0x1)\npatch_byte(0x40000ca, 0x0)\npatch_byte(0x40000cb, 0x17)\npatch_byte(0x7d8, 0xe7)\npatch_byte(0x7d9, 0x17)\npatch_byte(0x7da, 0x9f)\npatch_byte(0x7db, 0x1a)\npatch_byte(0x7e0, 0x28)\npatch_byte(0x7e1, 0xfe)\npatch_byte(0x7e2, 0xff)\npatch_byte(0x7e3, 0x14)\npatch_byte(0x40000cc, 0xe0)\npatch_byte(0x40000cd, 0x3)\npatch_byte(0x40000ce, 0x14)\npatch_byte(0x40000cf, 0x2a)\npatch_byte(0x40000d0, 0xf3)\npatch_byte(0x40000d1, 0x3)\npatch_byte(0x40000d2, 0x7)\npatch_byte(0x40000d3, 0x2a)\npatch_byte(0x40000d4, 0x7f)\npatch_byte(0x40000d5, 0x2)\npatch_byte(0x40000d6, 0xa)\npatch_byte(0x40000d7, 0x6b)\npatch_byte(0x40000d8, 0x7f)\npatch_byte(0x40000d9, 0x2)\npatch_byte(0x40000da, 0xb)\npatch_byte(0x40000db, 0x6b)\npatch_byte(0x40000dc, 0x7f)\npatch_byte(0x40000dd, 0x2)\npatch_byte(0x40000de, 0xc)\npatch_byte(0x40000df, 0x6b)\npatch_byte(0x40000e0, 0x7f)\npatch_byte(0x40000e1, 0x2)\npatch_byte(0x40000e2, 0x10)\npatch_byte(0x40000e3, 0x6b)\npatch_byte(0x40000e4, 0x7f)\npatch_byte(0x40000e5, 0x2)\npatch_byte(0x40000e6, 0x12)\npatch_byte(0x40000e7, 0x6b)\npatch_byte(0x40000e8, 0x7f)\npatch_byte(0x40000e9, 0x2)\npatch_byte(0x40000ea, 0x2)\npatch_byte(0x40000eb, 0x6b)\npatch_byte(0x40000ec, 0x87)\npatch_byte(0x40000ed, 0x81)\npatch_byte(0x40000ee, 0xba)\npatch_byte(0x40000ef, 0x52)\npatch_byte(0x40000f0, 0x87)\npatch_byte(0x40000f1, 0xc)\npatch_byte(0x40000f2, 0x8f)\npatch_byte(0x40000f3, 0x72)\npatch_byte(0x40000f4, 0xf4)\npatch_byte(0x40000f5, 0x3)\npatch_byte(0x40000f6, 0x1)\npatch_byte(0x40000f7, 0x2a)\npatch_byte(0x40000f8, 0x7f)\npatch_byte(0x40000f9, 0x2)\npatch_byte(0x40000fa, 0x4)\npatch_byte(0x40000fb, 0x6b)\npatch_byte(0x40000fc, 0x87)\npatch_byte(0x40000fd, 0x81)\npatch_byte(0x40000fe, 0xba)\npatch_byte(0x40000ff, 0x52)\npatch_byte(0x4000100, 0x87)\npatch_byte(0x4000101, 0xc)\npatch_byte(0x4000102, 0x8f)\npatch_byte(0x4000103, 0x72)\npatch_byte(0x4000104, 0xf4)\npatch_byte(0x4000105, 0x3)\npatch_byte(0x4000106, 0x5)\npatch_byte(0x4000107, 0x2a)\npatch_byte(0x4000108, 0x7f)\npatch_byte(0x4000109, 0x2)\npatch_byte(0x400010a, 0x9)\npatch_byte(0x400010b, 0x6b)\npatch_byte(0x400010c, 0xe7)\npatch_byte(0x400010d, 0x3)\npatch_byte(0x400010e, 0x13)\npatch_byte(0x400010f, 0x2a)\npatch_byte(0x4000110, 0xf4)\npatch_byte(0x4000111, 0x3)\npatch_byte(0x4000112, 0x0)\npatch_byte(0x4000113, 0x2a)\npatch_byte(0x4000114, 0xce)\npatch_byte(0x4000115, 0x1)\npatch_byte(0x4000116, 0x0)\npatch_byte(0x4000117, 0x17)\npatch_byte(0x824, 0x2a)\npatch_byte(0x825, 0xfe)\npatch_byte(0x826, 0xff)\npatch_byte(0x827, 0x14)\npatch_byte(0x4000118, 0xe0)\npatch_byte(0x4000119, 0x3)\npatch_byte(0x400011a, 0x14)\npatch_byte(0x400011b, 0x2a)\npatch_byte(0x400011c, 0xf3)\npatch_byte(0x400011d, 0x3)\npatch_byte(0x400011e, 0x7)\npatch_byte(0x400011f, 0x2a)\npatch_byte(0x4000120, 0x7f)\npatch_byte(0x4000121, 0x2)\npatch_byte(0x4000122, 0xa)\npatch_byte(0x4000123, 0x6b)\npatch_byte(0x4000124, 0x7f)\npatch_byte(0x4000125, 0x2)\npatch_byte(0x4000126, 0xb)\npatch_byte(0x4000127, 0x6b)\npatch_byte(0x4000128, 0x7f)\npatch_byte(0x4000129, 0x2)\npatch_byte(0x400012a, 0xc)\npatch_byte(0x400012b, 0x6b)\npatch_byte(0x400012c, 0x7f)\npatch_byte(0x400012d, 0x2)\npatch_byte(0x400012e, 0x10)\npatch_byte(0x400012f, 0x6b)\npatch_byte(0x4000130, 0x7f)\npatch_byte(0x4000131, 0x2)\npatch_byte(0x4000132, 0x12)\npatch_byte(0x4000133, 0x6b)\npatch_byte(0x4000134, 0x7f)\npatch_byte(0x4000135, 0x2)\npatch_byte(0x4000136, 0x2)\npatch_byte(0x4000137, 0x6b)\npatch_byte(0x4000138, 0x87)\npatch_byte(0x4000139, 0x81)\npatch_byte(0x400013a, 0xba)\npatch_byte(0x400013b, 0x52)\npatch_byte(0x400013c, 0x87)\npatch_byte(0x400013d, 0xc)\npatch_byte(0x400013e, 0x8f)\npatch_byte(0x400013f, 0x72)\npatch_byte(0x4000140, 0xf4)\npatch_byte(0x4000141, 0x3)\npatch_byte(0x4000142, 0x1)\npatch_byte(0x4000143, 0x2a)\npatch_byte(0x4000144, 0x7f)\npatch_byte(0x4000145, 0x2)\npatch_byte(0x4000146, 0x4)\npatch_byte(0x4000147, 0x6b)\npatch_byte(0x4000148, 0x87)\npatch_byte(0x4000149, 0x81)\npatch_byte(0x400014a, 0xba)\npatch_byte(0x400014b, 0x52)\npatch_byte(0x400014c, 0x87)\npatch_byte(0x400014d, 0xc)\npatch_byte(0x400014e, 0x8f)\npatch_byte(0x400014f, 0x72)\npatch_byte(0x4000150, 0xf4)\npatch_byte(0x4000151, 0x3)\npatch_byte(0x4000152, 0x5)\npatch_byte(0x4000153, 0x2a)\npatch_byte(0x4000154, 0x7f)\npatch_byte(0x4000155, 0x2)\npatch_byte(0x4000156, 0x9)\npatch_byte(0x4000157, 0x6b)\npatch_byte(0x4000158, 0xe7)\npatch_byte(0x4000159, 0x3)\npatch_byte(0x400015a, 0x13)\npatch_byte(0x400015b, 0x2a)\npatch_byte(0x400015c, 0xf4)\npatch_byte(0x400015d, 0x3)\npatch_byte(0x400015e, 0x0)\npatch_byte(0x400015f, 0x2a)\npatch_byte(0x4000160, 0xbb)\npatch_byte(0x4000161, 0x1)\npatch_byte(0x4000162, 0x0)\npatch_byte(0x4000163, 0x17)\npatch_byte(0x808, 0x44)\npatch_byte(0x809, 0xfe)\npatch_byte(0x80a, 0xff)\npatch_byte(0x80b, 0x14)\npatch_byte(0x4000164, 0x47)\npatch_byte(0x4000165, 0x0)\npatch_byte(0x4000166, 0x0)\npatch_byte(0x4000167, 0x35)\npatch_byte(0x4000168, 0x87)\npatch_byte(0x4000169, 0x1)\npatch_byte(0x400016a, 0x0)\npatch_byte(0x400016b, 0x34)\npatch_byte(0x400016c, 0xe0)\npatch_byte(0x400016d, 0x3)\npatch_byte(0x400016e, 0x14)\npatch_byte(0x400016f, 0x2a)\npatch_byte(0x4000170, 0xf3)\npatch_byte(0x4000171, 0x3)\npatch_byte(0x4000172, 0x7)\npatch_byte(0x4000173, 0x2a)\npatch_byte(0x4000174, 0x7f)\npatch_byte(0x4000175, 0x2)\npatch_byte(0x4000176, 0xa)\npatch_byte(0x4000177, 0x6b)\npatch_byte(0x4000178, 0x7f)\npatch_byte(0x4000179, 0x2)\npatch_byte(0x400017a, 0xb)\npatch_byte(0x400017b, 0x6b)\npatch_byte(0x400017c, 0x7f)\npatch_byte(0x400017d, 0x2)\npatch_byte(0x400017e, 0xc)\npatch_byte(0x400017f, 0x6b)\npatch_byte(0x4000180, 0x7f)\npatch_byte(0x4000181, 0x2)\npatch_byte(0x4000182, 0x10)\npatch_byte(0x4000183, 0x6b)\npatch_byte(0x4000184, 0x7f)\npatch_byte(0x4000185, 0x2)\npatch_byte(0x4000186, 0x12)\npatch_byte(0x4000187, 0x6b)\npatch_byte(0x4000188, 0x7f)\npatch_byte(0x4000189, 0x2)\npatch_byte(0x400018a, 0xf)\npatch_byte(0x400018b, 0x6b)\npatch_byte(0x400018c, 0xe7)\npatch_byte(0x400018d, 0x3)\npatch_byte(0x400018e, 0x13)\npatch_byte(0x400018f, 0x2a)\npatch_byte(0x4000190, 0xf4)\npatch_byte(0x4000191, 0x3)\npatch_byte(0x4000192, 0x0)\npatch_byte(0x4000193, 0x2a)\npatch_byte(0x4000194, 0xb3)\npatch_byte(0x4000195, 0x1)\npatch_byte(0x4000196, 0x0)\npatch_byte(0x4000197, 0x17)\npatch_byte(0x4000198, 0xe0)\npatch_byte(0x4000199, 0x3)\npatch_byte(0x400019a, 0x14)\npatch_byte(0x400019b, 0x2a)\npatch_byte(0x400019c, 0xf3)\npatch_byte(0x400019d, 0x3)\npatch_byte(0x400019e, 0x7)\npatch_byte(0x400019f, 0x2a)\npatch_byte(0x40001a0, 0x7f)\npatch_byte(0x40001a1, 0x2)\npatch_byte(0x40001a2, 0xa)\npatch_byte(0x40001a3, 0x6b)\npatch_byte(0x40001a4, 0x7f)\npatch_byte(0x40001a5, 0x2)\npatch_byte(0x40001a6, 0xe)\npatch_byte(0x40001a7, 0x6b)\npatch_byte(0x40001a8, 0xe7)\npatch_byte(0x40001a9, 0x3)\npatch_byte(0x40001aa, 0x13)\npatch_byte(0x40001ab, 0x2a)\npatch_byte(0x40001ac, 0xf4)\npatch_byte(0x40001ad, 0x3)\npatch_byte(0x40001ae, 0x0)\npatch_byte(0x40001af, 0x2a)\npatch_byte(0x40001b0, 0x83)\npatch_byte(0x40001b1, 0x1)\npatch_byte(0x40001b2, 0x0)\npatch_byte(0x40001b3, 0x17)\npatch_byte(0x7a0, 0xe7)\npatch_byte(0x7a1, 0x17)\npatch_byte(0x7a2, 0x9f)\npatch_byte(0x7a3, 0x1a)\npatch_byte(0x7a8, 0x6f)\npatch_byte(0x7a9, 0xfe)\npatch_byte(0x7aa, 0xff)\npatch_byte(0x7ab, 0x14)\npatch_byte(0x40001b4, 0xe0)\npatch_byte(0x40001b5, 0x3)\npatch_byte(0x40001b6, 0x14)\npatch_byte(0x40001b7, 0x2a)\npatch_byte(0x40001b8, 0xf3)\npatch_byte(0x40001b9, 0x3)\npatch_byte(0x40001ba, 0x7)\npatch_byte(0x40001bb, 0x2a)\npatch_byte(0x40001bc, 0x7f)\npatch_byte(0x40001bd, 0x2)\npatch_byte(0x40001be, 0xa)\npatch_byte(0x40001bf, 0x6b)\npatch_byte(0x40001c0, 0x7f)\npatch_byte(0x40001c1, 0x2)\npatch_byte(0x40001c2, 0xb)\npatch_byte(0x40001c3, 0x6b)\npatch_byte(0x40001c4, 0x7f)\npatch_byte(0x40001c5, 0x2)\npatch_byte(0x40001c6, 0xc)\npatch_byte(0x40001c7, 0x6b)\npatch_byte(0x40001c8, 0x7f)\npatch_byte(0x40001c9, 0x2)\npatch_byte(0x40001ca, 0x10)\npatch_byte(0x40001cb, 0x6b)\npatch_byte(0x40001cc, 0x7f)\npatch_byte(0x40001cd, 0x2)\npatch_byte(0x40001ce, 0x12)\npatch_byte(0x40001cf, 0x6b)\npatch_byte(0x40001d0, 0x7f)\npatch_byte(0x40001d1, 0x2)\npatch_byte(0x40001d2, 0x2)\npatch_byte(0x40001d3, 0x6b)\npatch_byte(0x40001d4, 0x87)\npatch_byte(0x40001d5, 0x81)\npatch_byte(0x40001d6, 0xba)\npatch_byte(0x40001d7, 0x52)\npatch_byte(0x40001d8, 0x87)\npatch_byte(0x40001d9, 0xc)\npatch_byte(0x40001da, 0x8f)\npatch_byte(0x40001db, 0x72)\npatch_byte(0x40001dc, 0xf4)\npatch_byte(0x40001dd, 0x3)\npatch_byte(0x40001de, 0x1)\npatch_byte(0x40001df, 0x2a)\npatch_byte(0x40001e0, 0x7f)\npatch_byte(0x40001e1, 0x2)\npatch_byte(0x40001e2, 0x4)\npatch_byte(0x40001e3, 0x6b)\npatch_byte(0x40001e4, 0x87)\npatch_byte(0x40001e5, 0x81)\npatch_byte(0x40001e6, 0xba)\npatch_byte(0x40001e7, 0x52)\npatch_byte(0x40001e8, 0x87)\npatch_byte(0x40001e9, 0xc)\npatch_byte(0x40001ea, 0x8f)\npatch_byte(0x40001eb, 0x72)\npatch_byte(0x40001ec, 0xf4)\npatch_byte(0x40001ed, 0x3)\npatch_byte(0x40001ee, 0x5)\npatch_byte(0x40001ef, 0x2a)\npatch_byte(0x40001f0, 0x7f)\npatch_byte(0x40001f1, 0x2)\npatch_byte(0x40001f2, 0x9)\npatch_byte(0x40001f3, 0x6b)\npatch_byte(0x40001f4, 0xe7)\npatch_byte(0x40001f5, 0x3)\npatch_byte(0x40001f6, 0x13)\npatch_byte(0x40001f7, 0x2a)\npatch_byte(0x40001f8, 0xf4)\npatch_byte(0x40001f9, 0x3)\npatch_byte(0x40001fa, 0x0)\npatch_byte(0x40001fb, 0x2a)\npatch_byte(0x40001fc, 0x94)\npatch_byte(0x40001fd, 0x1)\npatch_byte(0x40001fe, 0x0)\npatch_byte(0x40001ff, 0x17)\npatch_byte(0x86c, 0x52)\npatch_byte(0x86d, 0xfe)\npatch_byte(0x86e, 0xff)\npatch_byte(0x86f, 0x14)\npatch_byte(0x4000200, 0xe0)\npatch_byte(0x4000201, 0x3)\npatch_byte(0x4000202, 0x14)\npatch_byte(0x4000203, 0x2a)\npatch_byte(0x4000204, 0xf3)\npatch_byte(0x4000205, 0x3)\npatch_byte(0x4000206, 0x7)\npatch_byte(0x4000207, 0x2a)\npatch_byte(0x4000208, 0x7f)\npatch_byte(0x4000209, 0x2)\npatch_byte(0x400020a, 0xa)\npatch_byte(0x400020b, 0x6b)\npatch_byte(0x400020c, 0x7f)\npatch_byte(0x400020d, 0x2)\npatch_byte(0x400020e, 0xb)\npatch_byte(0x400020f, 0x6b)\npatch_byte(0x4000210, 0x7f)\npatch_byte(0x4000211, 0x2)\npatch_byte(0x4000212, 0xc)\npatch_byte(0x4000213, 0x6b)\npatch_byte(0x4000214, 0x7f)\npatch_byte(0x4000215, 0x2)\npatch_byte(0x4000216, 0x10)\npatch_byte(0x4000217, 0x6b)\npatch_byte(0x4000218, 0x7f)\npatch_byte(0x4000219, 0x2)\npatch_byte(0x400021a, 0x12)\npatch_byte(0x400021b, 0x6b)\npatch_byte(0x400021c, 0x7f)\npatch_byte(0x400021d, 0x2)\npatch_byte(0x400021e, 0x2)\npatch_byte(0x400021f, 0x6b)\npatch_byte(0x4000220, 0x87)\npatch_byte(0x4000221, 0x81)\npatch_byte(0x4000222, 0xba)\npatch_byte(0x4000223, 0x52)\npatch_byte(0x4000224, 0x87)\npatch_byte(0x4000225, 0xc)\npatch_byte(0x4000226, 0x8f)\npatch_byte(0x4000227, 0x72)\npatch_byte(0x4000228, 0xf4)\npatch_byte(0x4000229, 0x3)\npatch_byte(0x400022a, 0x1)\npatch_byte(0x400022b, 0x2a)\npatch_byte(0x400022c, 0x7f)\npatch_byte(0x400022d, 0x2)\npatch_byte(0x400022e, 0x4)\npatch_byte(0x400022f, 0x6b)\npatch_byte(0x4000230, 0x87)\npatch_byte(0x4000231, 0x81)\npatch_byte(0x4000232, 0xba)\npatch_byte(0x4000233, 0x52)\npatch_byte(0x4000234, 0x87)\npatch_byte(0x4000235, 0xc)\npatch_byte(0x4000236, 0x8f)\npatch_byte(0x4000237, 0x72)\npatch_byte(0x4000238, 0xf4)\npatch_byte(0x4000239, 0x3)\npatch_byte(0x400023a, 0x5)\npatch_byte(0x400023b, 0x2a)\npatch_byte(0x400023c, 0x7f)\npatch_byte(0x400023d, 0x2)\npatch_byte(0x400023e, 0x9)\npatch_byte(0x400023f, 0x6b)\npatch_byte(0x4000240, 0xe7)\npatch_byte(0x4000241, 0x3)\npatch_byte(0x4000242, 0x13)\npatch_byte(0x4000243, 0x2a)\npatch_byte(0x4000244, 0xf4)\npatch_byte(0x4000245, 0x3)\npatch_byte(0x4000246, 0x0)\npatch_byte(0x4000247, 0x2a)\npatch_byte(0x4000248, 0x81)\npatch_byte(0x4000249, 0x1)\npatch_byte(0x400024a, 0x0)\npatch_byte(0x400024b, 0x17)\npatch_byte(0x838, 0x72)\npatch_byte(0x839, 0xfe)\npatch_byte(0x83a, 0xff)\npatch_byte(0x83b, 0x14)\n", "from idc import *\nbase = 67108864\nseg_size = 4194304\naddress = base\nadd_segm_ex(base, base + seg_size, 1, 2, 1, 2, ADDSEG_NOSREG)\nset_segm_name(base, 'patch')\nset_segm_class(base, 'CODE')\nset_segm_type(base, 2)\npatch_byte(67108864, 224)\npatch_byte(67108865, 3)\npatch_byte(67108866, 20)\npatch_byte(67108867, 42)\npatch_byte(67108868, 243)\npatch_byte(67108869, 3)\npatch_byte(67108870, 7)\npatch_byte(67108871, 42)\npatch_byte(67108872, 127)\npatch_byte(67108873, 2)\npatch_byte(67108874, 10)\npatch_byte(67108875, 107)\npatch_byte(67108876, 127)\npatch_byte(67108877, 2)\npatch_byte(67108878, 11)\npatch_byte(67108879, 107)\npatch_byte(67108880, 127)\npatch_byte(67108881, 2)\npatch_byte(67108882, 8)\npatch_byte(67108883, 107)\npatch_byte(67108884, 231)\npatch_byte(67108885, 3)\npatch_byte(67108886, 19)\npatch_byte(67108887, 42)\npatch_byte(67108888, 244)\npatch_byte(67108889, 3)\npatch_byte(67108890, 0)\npatch_byte(67108891, 42)\npatch_byte(67108892, 237)\npatch_byte(67108893, 1)\npatch_byte(67108894, 0)\npatch_byte(67108895, 23)\npatch_byte(1876, 43)\npatch_byte(1877, 254)\npatch_byte(1878, 255)\npatch_byte(1879, 20)\npatch_byte(67108896, 71)\npatch_byte(67108897, 0)\npatch_byte(67108898, 0)\npatch_byte(67108899, 53)\npatch_byte(67108900, 167)\npatch_byte(67108901, 1)\npatch_byte(67108902, 0)\npatch_byte(67108903, 52)\npatch_byte(67108904, 224)\npatch_byte(67108905, 3)\npatch_byte(67108906, 20)\npatch_byte(67108907, 42)\npatch_byte(67108908, 243)\npatch_byte(67108909, 3)\npatch_byte(67108910, 7)\npatch_byte(67108911, 42)\npatch_byte(67108912, 127)\npatch_byte(67108913, 2)\npatch_byte(67108914, 10)\npatch_byte(67108915, 107)\npatch_byte(67108916, 127)\npatch_byte(67108917, 2)\npatch_byte(67108918, 11)\npatch_byte(67108919, 107)\npatch_byte(67108920, 127)\npatch_byte(67108921, 2)\npatch_byte(67108922, 12)\npatch_byte(67108923, 107)\npatch_byte(67108924, 127)\npatch_byte(67108925, 2)\npatch_byte(67108926, 16)\npatch_byte(67108927, 107)\npatch_byte(67108928, 127)\npatch_byte(67108929, 2)\npatch_byte(67108930, 18)\npatch_byte(67108931, 107)\npatch_byte(67108932, 127)\npatch_byte(67108933, 2)\npatch_byte(67108934, 2)\npatch_byte(67108935, 107)\npatch_byte(67108936, 135)\npatch_byte(67108937, 129)\npatch_byte(67108938, 186)\npatch_byte(67108939, 82)\npatch_byte(67108940, 135)\npatch_byte(67108941, 12)\npatch_byte(67108942, 143)\npatch_byte(67108943, 114)\npatch_byte(67108944, 244)\npatch_byte(67108945, 3)\npatch_byte(67108946, 1)\npatch_byte(67108947, 42)\npatch_byte(67108948, 245)\npatch_byte(67108949, 1)\npatch_byte(67108950, 0)\npatch_byte(67108951, 23)\npatch_byte(67108952, 224)\npatch_byte(67108953, 3)\npatch_byte(67108954, 20)\npatch_byte(67108955, 42)\npatch_byte(67108956, 243)\npatch_byte(67108957, 3)\npatch_byte(67108958, 7)\npatch_byte(67108959, 42)\npatch_byte(67108960, 127)\npatch_byte(67108961, 2)\npatch_byte(67108962, 10)\npatch_byte(67108963, 107)\npatch_byte(67108964, 127)\npatch_byte(67108965, 2)\npatch_byte(67108966, 11)\npatch_byte(67108967, 107)\npatch_byte(67108968, 127)\npatch_byte(67108969, 2)\npatch_byte(67108970, 12)\npatch_byte(67108971, 107)\npatch_byte(67108972, 127)\npatch_byte(67108973, 2)\npatch_byte(67108974, 16)\npatch_byte(67108975, 107)\npatch_byte(67108976, 127)\npatch_byte(67108977, 2)\npatch_byte(67108978, 17)\npatch_byte(67108979, 107)\npatch_byte(67108980, 231)\npatch_byte(67108981, 3)\npatch_byte(67108982, 19)\npatch_byte(67108983, 42)\npatch_byte(67108984, 244)\npatch_byte(67108985, 3)\npatch_byte(67108986, 0)\npatch_byte(67108987, 42)\npatch_byte(67108988, 224)\npatch_byte(67108989, 1)\npatch_byte(67108990, 0)\npatch_byte(67108991, 23)\npatch_byte(1888, 231)\npatch_byte(1889, 23)\npatch_byte(1890, 159)\npatch_byte(1891, 26)\npatch_byte(1892, 47)\npatch_byte(1893, 254)\npatch_byte(1894, 255)\npatch_byte(1895, 20)\npatch_byte(67108992, 71)\npatch_byte(67108993, 0)\npatch_byte(67108994, 0)\npatch_byte(67108995, 53)\npatch_byte(67108996, 39)\npatch_byte(67108997, 1)\npatch_byte(67108998, 0)\npatch_byte(67108999, 52)\npatch_byte(67109000, 224)\npatch_byte(67109001, 3)\npatch_byte(67109002, 20)\npatch_byte(67109003, 42)\npatch_byte(67109004, 243)\npatch_byte(67109005, 3)\npatch_byte(67109006, 7)\npatch_byte(67109007, 42)\npatch_byte(67109008, 127)\npatch_byte(67109009, 2)\npatch_byte(67109010, 10)\npatch_byte(67109011, 107)\npatch_byte(67109012, 127)\npatch_byte(67109013, 2)\npatch_byte(67109014, 11)\npatch_byte(67109015, 107)\npatch_byte(67109016, 127)\npatch_byte(67109017, 2)\npatch_byte(67109018, 12)\npatch_byte(67109019, 107)\npatch_byte(67109020, 127)\npatch_byte(67109021, 2)\npatch_byte(67109022, 16)\npatch_byte(67109023, 107)\npatch_byte(67109024, 127)\npatch_byte(67109025, 2)\npatch_byte(67109026, 18)\npatch_byte(67109027, 107)\npatch_byte(67109028, 220)\npatch_byte(67109029, 1)\npatch_byte(67109030, 0)\npatch_byte(67109031, 23)\npatch_byte(67109032, 224)\npatch_byte(67109033, 3)\npatch_byte(67109034, 20)\npatch_byte(67109035, 42)\npatch_byte(67109036, 243)\npatch_byte(67109037, 3)\npatch_byte(67109038, 7)\npatch_byte(67109039, 42)\npatch_byte(67109040, 127)\npatch_byte(67109041, 2)\npatch_byte(67109042, 10)\npatch_byte(67109043, 107)\npatch_byte(67109044, 127)\npatch_byte(67109045, 2)\npatch_byte(67109046, 11)\npatch_byte(67109047, 107)\npatch_byte(67109048, 127)\npatch_byte(67109049, 2)\npatch_byte(67109050, 12)\npatch_byte(67109051, 107)\npatch_byte(67109052, 127)\npatch_byte(67109053, 2)\npatch_byte(67109054, 13)\npatch_byte(67109055, 107)\npatch_byte(67109056, 231)\npatch_byte(67109057, 3)\npatch_byte(67109058, 19)\npatch_byte(67109059, 42)\npatch_byte(67109060, 244)\npatch_byte(67109061, 3)\npatch_byte(67109062, 0)\npatch_byte(67109063, 42)\npatch_byte(67109064, 180)\npatch_byte(67109065, 1)\npatch_byte(67109066, 0)\npatch_byte(67109067, 23)\npatch_byte(2008, 231)\npatch_byte(2009, 23)\npatch_byte(2010, 159)\npatch_byte(2011, 26)\npatch_byte(2016, 40)\npatch_byte(2017, 254)\npatch_byte(2018, 255)\npatch_byte(2019, 20)\npatch_byte(67109068, 224)\npatch_byte(67109069, 3)\npatch_byte(67109070, 20)\npatch_byte(67109071, 42)\npatch_byte(67109072, 243)\npatch_byte(67109073, 3)\npatch_byte(67109074, 7)\npatch_byte(67109075, 42)\npatch_byte(67109076, 127)\npatch_byte(67109077, 2)\npatch_byte(67109078, 10)\npatch_byte(67109079, 107)\npatch_byte(67109080, 127)\npatch_byte(67109081, 2)\npatch_byte(67109082, 11)\npatch_byte(67109083, 107)\npatch_byte(67109084, 127)\npatch_byte(67109085, 2)\npatch_byte(67109086, 12)\npatch_byte(67109087, 107)\npatch_byte(67109088, 127)\npatch_byte(67109089, 2)\npatch_byte(67109090, 16)\npatch_byte(67109091, 107)\npatch_byte(67109092, 127)\npatch_byte(67109093, 2)\npatch_byte(67109094, 18)\npatch_byte(67109095, 107)\npatch_byte(67109096, 127)\npatch_byte(67109097, 2)\npatch_byte(67109098, 2)\npatch_byte(67109099, 107)\npatch_byte(67109100, 135)\npatch_byte(67109101, 129)\npatch_byte(67109102, 186)\npatch_byte(67109103, 82)\npatch_byte(67109104, 135)\npatch_byte(67109105, 12)\npatch_byte(67109106, 143)\npatch_byte(67109107, 114)\npatch_byte(67109108, 244)\npatch_byte(67109109, 3)\npatch_byte(67109110, 1)\npatch_byte(67109111, 42)\npatch_byte(67109112, 127)\npatch_byte(67109113, 2)\npatch_byte(67109114, 4)\npatch_byte(67109115, 107)\npatch_byte(67109116, 135)\npatch_byte(67109117, 129)\npatch_byte(67109118, 186)\npatch_byte(67109119, 82)\npatch_byte(67109120, 135)\npatch_byte(67109121, 12)\npatch_byte(67109122, 143)\npatch_byte(67109123, 114)\npatch_byte(67109124, 244)\npatch_byte(67109125, 3)\npatch_byte(67109126, 5)\npatch_byte(67109127, 42)\npatch_byte(67109128, 127)\npatch_byte(67109129, 2)\npatch_byte(67109130, 9)\npatch_byte(67109131, 107)\npatch_byte(67109132, 231)\npatch_byte(67109133, 3)\npatch_byte(67109134, 19)\npatch_byte(67109135, 42)\npatch_byte(67109136, 244)\npatch_byte(67109137, 3)\npatch_byte(67109138, 0)\npatch_byte(67109139, 42)\npatch_byte(67109140, 206)\npatch_byte(67109141, 1)\npatch_byte(67109142, 0)\npatch_byte(67109143, 23)\npatch_byte(2084, 42)\npatch_byte(2085, 254)\npatch_byte(2086, 255)\npatch_byte(2087, 20)\npatch_byte(67109144, 224)\npatch_byte(67109145, 3)\npatch_byte(67109146, 20)\npatch_byte(67109147, 42)\npatch_byte(67109148, 243)\npatch_byte(67109149, 3)\npatch_byte(67109150, 7)\npatch_byte(67109151, 42)\npatch_byte(67109152, 127)\npatch_byte(67109153, 2)\npatch_byte(67109154, 10)\npatch_byte(67109155, 107)\npatch_byte(67109156, 127)\npatch_byte(67109157, 2)\npatch_byte(67109158, 11)\npatch_byte(67109159, 107)\npatch_byte(67109160, 127)\npatch_byte(67109161, 2)\npatch_byte(67109162, 12)\npatch_byte(67109163, 107)\npatch_byte(67109164, 127)\npatch_byte(67109165, 2)\npatch_byte(67109166, 16)\npatch_byte(67109167, 107)\npatch_byte(67109168, 127)\npatch_byte(67109169, 2)\npatch_byte(67109170, 18)\npatch_byte(67109171, 107)\npatch_byte(67109172, 127)\npatch_byte(67109173, 2)\npatch_byte(67109174, 2)\npatch_byte(67109175, 107)\npatch_byte(67109176, 135)\npatch_byte(67109177, 129)\npatch_byte(67109178, 186)\npatch_byte(67109179, 82)\npatch_byte(67109180, 135)\npatch_byte(67109181, 12)\npatch_byte(67109182, 143)\npatch_byte(67109183, 114)\npatch_byte(67109184, 244)\npatch_byte(67109185, 3)\npatch_byte(67109186, 1)\npatch_byte(67109187, 42)\npatch_byte(67109188, 127)\npatch_byte(67109189, 2)\npatch_byte(67109190, 4)\npatch_byte(67109191, 107)\npatch_byte(67109192, 135)\npatch_byte(67109193, 129)\npatch_byte(67109194, 186)\npatch_byte(67109195, 82)\npatch_byte(67109196, 135)\npatch_byte(67109197, 12)\npatch_byte(67109198, 143)\npatch_byte(67109199, 114)\npatch_byte(67109200, 244)\npatch_byte(67109201, 3)\npatch_byte(67109202, 5)\npatch_byte(67109203, 42)\npatch_byte(67109204, 127)\npatch_byte(67109205, 2)\npatch_byte(67109206, 9)\npatch_byte(67109207, 107)\npatch_byte(67109208, 231)\npatch_byte(67109209, 3)\npatch_byte(67109210, 19)\npatch_byte(67109211, 42)\npatch_byte(67109212, 244)\npatch_byte(67109213, 3)\npatch_byte(67109214, 0)\npatch_byte(67109215, 42)\npatch_byte(67109216, 187)\npatch_byte(67109217, 1)\npatch_byte(67109218, 0)\npatch_byte(67109219, 23)\npatch_byte(2056, 68)\npatch_byte(2057, 254)\npatch_byte(2058, 255)\npatch_byte(2059, 20)\npatch_byte(67109220, 71)\npatch_byte(67109221, 0)\npatch_byte(67109222, 0)\npatch_byte(67109223, 53)\npatch_byte(67109224, 135)\npatch_byte(67109225, 1)\npatch_byte(67109226, 0)\npatch_byte(67109227, 52)\npatch_byte(67109228, 224)\npatch_byte(67109229, 3)\npatch_byte(67109230, 20)\npatch_byte(67109231, 42)\npatch_byte(67109232, 243)\npatch_byte(67109233, 3)\npatch_byte(67109234, 7)\npatch_byte(67109235, 42)\npatch_byte(67109236, 127)\npatch_byte(67109237, 2)\npatch_byte(67109238, 10)\npatch_byte(67109239, 107)\npatch_byte(67109240, 127)\npatch_byte(67109241, 2)\npatch_byte(67109242, 11)\npatch_byte(67109243, 107)\npatch_byte(67109244, 127)\npatch_byte(67109245, 2)\npatch_byte(67109246, 12)\npatch_byte(67109247, 107)\npatch_byte(67109248, 127)\npatch_byte(67109249, 2)\npatch_byte(67109250, 16)\npatch_byte(67109251, 107)\npatch_byte(67109252, 127)\npatch_byte(67109253, 2)\npatch_byte(67109254, 18)\npatch_byte(67109255, 107)\npatch_byte(67109256, 127)\npatch_byte(67109257, 2)\npatch_byte(67109258, 15)\npatch_byte(67109259, 107)\npatch_byte(67109260, 231)\npatch_byte(67109261, 3)\npatch_byte(67109262, 19)\npatch_byte(67109263, 42)\npatch_byte(67109264, 244)\npatch_byte(67109265, 3)\npatch_byte(67109266, 0)\npatch_byte(67109267, 42)\npatch_byte(67109268, 179)\npatch_byte(67109269, 1)\npatch_byte(67109270, 0)\npatch_byte(67109271, 23)\npatch_byte(67109272, 224)\npatch_byte(67109273, 3)\npatch_byte(67109274, 20)\npatch_byte(67109275, 42)\npatch_byte(67109276, 243)\npatch_byte(67109277, 3)\npatch_byte(67109278, 7)\npatch_byte(67109279, 42)\npatch_byte(67109280, 127)\npatch_byte(67109281, 2)\npatch_byte(67109282, 10)\npatch_byte(67109283, 107)\npatch_byte(67109284, 127)\npatch_byte(67109285, 2)\npatch_byte(67109286, 14)\npatch_byte(67109287, 107)\npatch_byte(67109288, 231)\npatch_byte(67109289, 3)\npatch_byte(67109290, 19)\npatch_byte(67109291, 42)\npatch_byte(67109292, 244)\npatch_byte(67109293, 3)\npatch_byte(67109294, 0)\npatch_byte(67109295, 42)\npatch_byte(67109296, 131)\npatch_byte(67109297, 1)\npatch_byte(67109298, 0)\npatch_byte(67109299, 23)\npatch_byte(1952, 231)\npatch_byte(1953, 23)\npatch_byte(1954, 159)\npatch_byte(1955, 26)\npatch_byte(1960, 111)\npatch_byte(1961, 254)\npatch_byte(1962, 255)\npatch_byte(1963, 20)\npatch_byte(67109300, 224)\npatch_byte(67109301, 3)\npatch_byte(67109302, 20)\npatch_byte(67109303, 42)\npatch_byte(67109304, 243)\npatch_byte(67109305, 3)\npatch_byte(67109306, 7)\npatch_byte(67109307, 42)\npatch_byte(67109308, 127)\npatch_byte(67109309, 2)\npatch_byte(67109310, 10)\npatch_byte(67109311, 107)\npatch_byte(67109312, 127)\npatch_byte(67109313, 2)\npatch_byte(67109314, 11)\npatch_byte(67109315, 107)\npatch_byte(67109316, 127)\npatch_byte(67109317, 2)\npatch_byte(67109318, 12)\npatch_byte(67109319, 107)\npatch_byte(67109320, 127)\npatch_byte(67109321, 2)\npatch_byte(67109322, 16)\npatch_byte(67109323, 107)\npatch_byte(67109324, 127)\npatch_byte(67109325, 2)\npatch_byte(67109326, 18)\npatch_byte(67109327, 107)\npatch_byte(67109328, 127)\npatch_byte(67109329, 2)\npatch_byte(67109330, 2)\npatch_byte(67109331, 107)\npatch_byte(67109332, 135)\npatch_byte(67109333, 129)\npatch_byte(67109334, 186)\npatch_byte(67109335, 82)\npatch_byte(67109336, 135)\npatch_byte(67109337, 12)\npatch_byte(67109338, 143)\npatch_byte(67109339, 114)\npatch_byte(67109340, 244)\npatch_byte(67109341, 3)\npatch_byte(67109342, 1)\npatch_byte(67109343, 42)\npatch_byte(67109344, 127)\npatch_byte(67109345, 2)\npatch_byte(67109346, 4)\npatch_byte(67109347, 107)\npatch_byte(67109348, 135)\npatch_byte(67109349, 129)\npatch_byte(67109350, 186)\npatch_byte(67109351, 82)\npatch_byte(67109352, 135)\npatch_byte(67109353, 12)\npatch_byte(67109354, 143)\npatch_byte(67109355, 114)\npatch_byte(67109356, 244)\npatch_byte(67109357, 3)\npatch_byte(67109358, 5)\npatch_byte(67109359, 42)\npatch_byte(67109360, 127)\npatch_byte(67109361, 2)\npatch_byte(67109362, 9)\npatch_byte(67109363, 107)\npatch_byte(67109364, 231)\npatch_byte(67109365, 3)\npatch_byte(67109366, 19)\npatch_byte(67109367, 42)\npatch_byte(67109368, 244)\npatch_byte(67109369, 3)\npatch_byte(67109370, 0)\npatch_byte(67109371, 42)\npatch_byte(67109372, 148)\npatch_byte(67109373, 1)\npatch_byte(67109374, 0)\npatch_byte(67109375, 23)\npatch_byte(2156, 82)\npatch_byte(2157, 254)\npatch_byte(2158, 255)\npatch_byte(2159, 20)\npatch_byte(67109376, 224)\npatch_byte(67109377, 3)\npatch_byte(67109378, 20)\npatch_byte(67109379, 42)\npatch_byte(67109380, 243)\npatch_byte(67109381, 3)\npatch_byte(67109382, 7)\npatch_byte(67109383, 42)\npatch_byte(67109384, 127)\npatch_byte(67109385, 2)\npatch_byte(67109386, 10)\npatch_byte(67109387, 107)\npatch_byte(67109388, 127)\npatch_byte(67109389, 2)\npatch_byte(67109390, 11)\npatch_byte(67109391, 107)\npatch_byte(67109392, 127)\npatch_byte(67109393, 2)\npatch_byte(67109394, 12)\npatch_byte(67109395, 107)\npatch_byte(67109396, 127)\npatch_byte(67109397, 2)\npatch_byte(67109398, 16)\npatch_byte(67109399, 107)\npatch_byte(67109400, 127)\npatch_byte(67109401, 2)\npatch_byte(67109402, 18)\npatch_byte(67109403, 107)\npatch_byte(67109404, 127)\npatch_byte(67109405, 2)\npatch_byte(67109406, 2)\npatch_byte(67109407, 107)\npatch_byte(67109408, 135)\npatch_byte(67109409, 129)\npatch_byte(67109410, 186)\npatch_byte(67109411, 82)\npatch_byte(67109412, 135)\npatch_byte(67109413, 12)\npatch_byte(67109414, 143)\npatch_byte(67109415, 114)\npatch_byte(67109416, 244)\npatch_byte(67109417, 3)\npatch_byte(67109418, 1)\npatch_byte(67109419, 42)\npatch_byte(67109420, 127)\npatch_byte(67109421, 2)\npatch_byte(67109422, 4)\npatch_byte(67109423, 107)\npatch_byte(67109424, 135)\npatch_byte(67109425, 129)\npatch_byte(67109426, 186)\npatch_byte(67109427, 82)\npatch_byte(67109428, 135)\npatch_byte(67109429, 12)\npatch_byte(67109430, 143)\npatch_byte(67109431, 114)\npatch_byte(67109432, 244)\npatch_byte(67109433, 3)\npatch_byte(67109434, 5)\npatch_byte(67109435, 42)\npatch_byte(67109436, 127)\npatch_byte(67109437, 2)\npatch_byte(67109438, 9)\npatch_byte(67109439, 107)\npatch_byte(67109440, 231)\npatch_byte(67109441, 3)\npatch_byte(67109442, 19)\npatch_byte(67109443, 42)\npatch_byte(67109444, 244)\npatch_byte(67109445, 3)\npatch_byte(67109446, 0)\npatch_byte(67109447, 42)\npatch_byte(67109448, 129)\npatch_byte(67109449, 1)\npatch_byte(67109450, 0)\npatch_byte(67109451, 23)\npatch_byte(2104, 114)\npatch_byte(2105, 254)\npatch_byte(2106, 255)\npatch_byte(2107, 20)\n", "<import token>\nbase = 67108864\nseg_size = 4194304\naddress = base\nadd_segm_ex(base, base + seg_size, 1, 2, 1, 2, ADDSEG_NOSREG)\nset_segm_name(base, 'patch')\nset_segm_class(base, 'CODE')\nset_segm_type(base, 2)\npatch_byte(67108864, 224)\npatch_byte(67108865, 3)\npatch_byte(67108866, 20)\npatch_byte(67108867, 42)\npatch_byte(67108868, 243)\npatch_byte(67108869, 3)\npatch_byte(67108870, 7)\npatch_byte(67108871, 42)\npatch_byte(67108872, 127)\npatch_byte(67108873, 2)\npatch_byte(67108874, 10)\npatch_byte(67108875, 107)\npatch_byte(67108876, 127)\npatch_byte(67108877, 2)\npatch_byte(67108878, 11)\npatch_byte(67108879, 107)\npatch_byte(67108880, 127)\npatch_byte(67108881, 2)\npatch_byte(67108882, 8)\npatch_byte(67108883, 107)\npatch_byte(67108884, 231)\npatch_byte(67108885, 3)\npatch_byte(67108886, 19)\npatch_byte(67108887, 42)\npatch_byte(67108888, 244)\npatch_byte(67108889, 3)\npatch_byte(67108890, 0)\npatch_byte(67108891, 42)\npatch_byte(67108892, 237)\npatch_byte(67108893, 1)\npatch_byte(67108894, 0)\npatch_byte(67108895, 23)\npatch_byte(1876, 43)\npatch_byte(1877, 254)\npatch_byte(1878, 255)\npatch_byte(1879, 20)\npatch_byte(67108896, 71)\npatch_byte(67108897, 0)\npatch_byte(67108898, 0)\npatch_byte(67108899, 53)\npatch_byte(67108900, 167)\npatch_byte(67108901, 1)\npatch_byte(67108902, 0)\npatch_byte(67108903, 52)\npatch_byte(67108904, 224)\npatch_byte(67108905, 3)\npatch_byte(67108906, 20)\npatch_byte(67108907, 42)\npatch_byte(67108908, 243)\npatch_byte(67108909, 3)\npatch_byte(67108910, 7)\npatch_byte(67108911, 42)\npatch_byte(67108912, 127)\npatch_byte(67108913, 2)\npatch_byte(67108914, 10)\npatch_byte(67108915, 107)\npatch_byte(67108916, 127)\npatch_byte(67108917, 2)\npatch_byte(67108918, 11)\npatch_byte(67108919, 107)\npatch_byte(67108920, 127)\npatch_byte(67108921, 2)\npatch_byte(67108922, 12)\npatch_byte(67108923, 107)\npatch_byte(67108924, 127)\npatch_byte(67108925, 2)\npatch_byte(67108926, 16)\npatch_byte(67108927, 107)\npatch_byte(67108928, 127)\npatch_byte(67108929, 2)\npatch_byte(67108930, 18)\npatch_byte(67108931, 107)\npatch_byte(67108932, 127)\npatch_byte(67108933, 2)\npatch_byte(67108934, 2)\npatch_byte(67108935, 107)\npatch_byte(67108936, 135)\npatch_byte(67108937, 129)\npatch_byte(67108938, 186)\npatch_byte(67108939, 82)\npatch_byte(67108940, 135)\npatch_byte(67108941, 12)\npatch_byte(67108942, 143)\npatch_byte(67108943, 114)\npatch_byte(67108944, 244)\npatch_byte(67108945, 3)\npatch_byte(67108946, 1)\npatch_byte(67108947, 42)\npatch_byte(67108948, 245)\npatch_byte(67108949, 1)\npatch_byte(67108950, 0)\npatch_byte(67108951, 23)\npatch_byte(67108952, 224)\npatch_byte(67108953, 3)\npatch_byte(67108954, 20)\npatch_byte(67108955, 42)\npatch_byte(67108956, 243)\npatch_byte(67108957, 3)\npatch_byte(67108958, 7)\npatch_byte(67108959, 42)\npatch_byte(67108960, 127)\npatch_byte(67108961, 2)\npatch_byte(67108962, 10)\npatch_byte(67108963, 107)\npatch_byte(67108964, 127)\npatch_byte(67108965, 2)\npatch_byte(67108966, 11)\npatch_byte(67108967, 107)\npatch_byte(67108968, 127)\npatch_byte(67108969, 2)\npatch_byte(67108970, 12)\npatch_byte(67108971, 107)\npatch_byte(67108972, 127)\npatch_byte(67108973, 2)\npatch_byte(67108974, 16)\npatch_byte(67108975, 107)\npatch_byte(67108976, 127)\npatch_byte(67108977, 2)\npatch_byte(67108978, 17)\npatch_byte(67108979, 107)\npatch_byte(67108980, 231)\npatch_byte(67108981, 3)\npatch_byte(67108982, 19)\npatch_byte(67108983, 42)\npatch_byte(67108984, 244)\npatch_byte(67108985, 3)\npatch_byte(67108986, 0)\npatch_byte(67108987, 42)\npatch_byte(67108988, 224)\npatch_byte(67108989, 1)\npatch_byte(67108990, 0)\npatch_byte(67108991, 23)\npatch_byte(1888, 231)\npatch_byte(1889, 23)\npatch_byte(1890, 159)\npatch_byte(1891, 26)\npatch_byte(1892, 47)\npatch_byte(1893, 254)\npatch_byte(1894, 255)\npatch_byte(1895, 20)\npatch_byte(67108992, 71)\npatch_byte(67108993, 0)\npatch_byte(67108994, 0)\npatch_byte(67108995, 53)\npatch_byte(67108996, 39)\npatch_byte(67108997, 1)\npatch_byte(67108998, 0)\npatch_byte(67108999, 52)\npatch_byte(67109000, 224)\npatch_byte(67109001, 3)\npatch_byte(67109002, 20)\npatch_byte(67109003, 42)\npatch_byte(67109004, 243)\npatch_byte(67109005, 3)\npatch_byte(67109006, 7)\npatch_byte(67109007, 42)\npatch_byte(67109008, 127)\npatch_byte(67109009, 2)\npatch_byte(67109010, 10)\npatch_byte(67109011, 107)\npatch_byte(67109012, 127)\npatch_byte(67109013, 2)\npatch_byte(67109014, 11)\npatch_byte(67109015, 107)\npatch_byte(67109016, 127)\npatch_byte(67109017, 2)\npatch_byte(67109018, 12)\npatch_byte(67109019, 107)\npatch_byte(67109020, 127)\npatch_byte(67109021, 2)\npatch_byte(67109022, 16)\npatch_byte(67109023, 107)\npatch_byte(67109024, 127)\npatch_byte(67109025, 2)\npatch_byte(67109026, 18)\npatch_byte(67109027, 107)\npatch_byte(67109028, 220)\npatch_byte(67109029, 1)\npatch_byte(67109030, 0)\npatch_byte(67109031, 23)\npatch_byte(67109032, 224)\npatch_byte(67109033, 3)\npatch_byte(67109034, 20)\npatch_byte(67109035, 42)\npatch_byte(67109036, 243)\npatch_byte(67109037, 3)\npatch_byte(67109038, 7)\npatch_byte(67109039, 42)\npatch_byte(67109040, 127)\npatch_byte(67109041, 2)\npatch_byte(67109042, 10)\npatch_byte(67109043, 107)\npatch_byte(67109044, 127)\npatch_byte(67109045, 2)\npatch_byte(67109046, 11)\npatch_byte(67109047, 107)\npatch_byte(67109048, 127)\npatch_byte(67109049, 2)\npatch_byte(67109050, 12)\npatch_byte(67109051, 107)\npatch_byte(67109052, 127)\npatch_byte(67109053, 2)\npatch_byte(67109054, 13)\npatch_byte(67109055, 107)\npatch_byte(67109056, 231)\npatch_byte(67109057, 3)\npatch_byte(67109058, 19)\npatch_byte(67109059, 42)\npatch_byte(67109060, 244)\npatch_byte(67109061, 3)\npatch_byte(67109062, 0)\npatch_byte(67109063, 42)\npatch_byte(67109064, 180)\npatch_byte(67109065, 1)\npatch_byte(67109066, 0)\npatch_byte(67109067, 23)\npatch_byte(2008, 231)\npatch_byte(2009, 23)\npatch_byte(2010, 159)\npatch_byte(2011, 26)\npatch_byte(2016, 40)\npatch_byte(2017, 254)\npatch_byte(2018, 255)\npatch_byte(2019, 20)\npatch_byte(67109068, 224)\npatch_byte(67109069, 3)\npatch_byte(67109070, 20)\npatch_byte(67109071, 42)\npatch_byte(67109072, 243)\npatch_byte(67109073, 3)\npatch_byte(67109074, 7)\npatch_byte(67109075, 42)\npatch_byte(67109076, 127)\npatch_byte(67109077, 2)\npatch_byte(67109078, 10)\npatch_byte(67109079, 107)\npatch_byte(67109080, 127)\npatch_byte(67109081, 2)\npatch_byte(67109082, 11)\npatch_byte(67109083, 107)\npatch_byte(67109084, 127)\npatch_byte(67109085, 2)\npatch_byte(67109086, 12)\npatch_byte(67109087, 107)\npatch_byte(67109088, 127)\npatch_byte(67109089, 2)\npatch_byte(67109090, 16)\npatch_byte(67109091, 107)\npatch_byte(67109092, 127)\npatch_byte(67109093, 2)\npatch_byte(67109094, 18)\npatch_byte(67109095, 107)\npatch_byte(67109096, 127)\npatch_byte(67109097, 2)\npatch_byte(67109098, 2)\npatch_byte(67109099, 107)\npatch_byte(67109100, 135)\npatch_byte(67109101, 129)\npatch_byte(67109102, 186)\npatch_byte(67109103, 82)\npatch_byte(67109104, 135)\npatch_byte(67109105, 12)\npatch_byte(67109106, 143)\npatch_byte(67109107, 114)\npatch_byte(67109108, 244)\npatch_byte(67109109, 3)\npatch_byte(67109110, 1)\npatch_byte(67109111, 42)\npatch_byte(67109112, 127)\npatch_byte(67109113, 2)\npatch_byte(67109114, 4)\npatch_byte(67109115, 107)\npatch_byte(67109116, 135)\npatch_byte(67109117, 129)\npatch_byte(67109118, 186)\npatch_byte(67109119, 82)\npatch_byte(67109120, 135)\npatch_byte(67109121, 12)\npatch_byte(67109122, 143)\npatch_byte(67109123, 114)\npatch_byte(67109124, 244)\npatch_byte(67109125, 3)\npatch_byte(67109126, 5)\npatch_byte(67109127, 42)\npatch_byte(67109128, 127)\npatch_byte(67109129, 2)\npatch_byte(67109130, 9)\npatch_byte(67109131, 107)\npatch_byte(67109132, 231)\npatch_byte(67109133, 3)\npatch_byte(67109134, 19)\npatch_byte(67109135, 42)\npatch_byte(67109136, 244)\npatch_byte(67109137, 3)\npatch_byte(67109138, 0)\npatch_byte(67109139, 42)\npatch_byte(67109140, 206)\npatch_byte(67109141, 1)\npatch_byte(67109142, 0)\npatch_byte(67109143, 23)\npatch_byte(2084, 42)\npatch_byte(2085, 254)\npatch_byte(2086, 255)\npatch_byte(2087, 20)\npatch_byte(67109144, 224)\npatch_byte(67109145, 3)\npatch_byte(67109146, 20)\npatch_byte(67109147, 42)\npatch_byte(67109148, 243)\npatch_byte(67109149, 3)\npatch_byte(67109150, 7)\npatch_byte(67109151, 42)\npatch_byte(67109152, 127)\npatch_byte(67109153, 2)\npatch_byte(67109154, 10)\npatch_byte(67109155, 107)\npatch_byte(67109156, 127)\npatch_byte(67109157, 2)\npatch_byte(67109158, 11)\npatch_byte(67109159, 107)\npatch_byte(67109160, 127)\npatch_byte(67109161, 2)\npatch_byte(67109162, 12)\npatch_byte(67109163, 107)\npatch_byte(67109164, 127)\npatch_byte(67109165, 2)\npatch_byte(67109166, 16)\npatch_byte(67109167, 107)\npatch_byte(67109168, 127)\npatch_byte(67109169, 2)\npatch_byte(67109170, 18)\npatch_byte(67109171, 107)\npatch_byte(67109172, 127)\npatch_byte(67109173, 2)\npatch_byte(67109174, 2)\npatch_byte(67109175, 107)\npatch_byte(67109176, 135)\npatch_byte(67109177, 129)\npatch_byte(67109178, 186)\npatch_byte(67109179, 82)\npatch_byte(67109180, 135)\npatch_byte(67109181, 12)\npatch_byte(67109182, 143)\npatch_byte(67109183, 114)\npatch_byte(67109184, 244)\npatch_byte(67109185, 3)\npatch_byte(67109186, 1)\npatch_byte(67109187, 42)\npatch_byte(67109188, 127)\npatch_byte(67109189, 2)\npatch_byte(67109190, 4)\npatch_byte(67109191, 107)\npatch_byte(67109192, 135)\npatch_byte(67109193, 129)\npatch_byte(67109194, 186)\npatch_byte(67109195, 82)\npatch_byte(67109196, 135)\npatch_byte(67109197, 12)\npatch_byte(67109198, 143)\npatch_byte(67109199, 114)\npatch_byte(67109200, 244)\npatch_byte(67109201, 3)\npatch_byte(67109202, 5)\npatch_byte(67109203, 42)\npatch_byte(67109204, 127)\npatch_byte(67109205, 2)\npatch_byte(67109206, 9)\npatch_byte(67109207, 107)\npatch_byte(67109208, 231)\npatch_byte(67109209, 3)\npatch_byte(67109210, 19)\npatch_byte(67109211, 42)\npatch_byte(67109212, 244)\npatch_byte(67109213, 3)\npatch_byte(67109214, 0)\npatch_byte(67109215, 42)\npatch_byte(67109216, 187)\npatch_byte(67109217, 1)\npatch_byte(67109218, 0)\npatch_byte(67109219, 23)\npatch_byte(2056, 68)\npatch_byte(2057, 254)\npatch_byte(2058, 255)\npatch_byte(2059, 20)\npatch_byte(67109220, 71)\npatch_byte(67109221, 0)\npatch_byte(67109222, 0)\npatch_byte(67109223, 53)\npatch_byte(67109224, 135)\npatch_byte(67109225, 1)\npatch_byte(67109226, 0)\npatch_byte(67109227, 52)\npatch_byte(67109228, 224)\npatch_byte(67109229, 3)\npatch_byte(67109230, 20)\npatch_byte(67109231, 42)\npatch_byte(67109232, 243)\npatch_byte(67109233, 3)\npatch_byte(67109234, 7)\npatch_byte(67109235, 42)\npatch_byte(67109236, 127)\npatch_byte(67109237, 2)\npatch_byte(67109238, 10)\npatch_byte(67109239, 107)\npatch_byte(67109240, 127)\npatch_byte(67109241, 2)\npatch_byte(67109242, 11)\npatch_byte(67109243, 107)\npatch_byte(67109244, 127)\npatch_byte(67109245, 2)\npatch_byte(67109246, 12)\npatch_byte(67109247, 107)\npatch_byte(67109248, 127)\npatch_byte(67109249, 2)\npatch_byte(67109250, 16)\npatch_byte(67109251, 107)\npatch_byte(67109252, 127)\npatch_byte(67109253, 2)\npatch_byte(67109254, 18)\npatch_byte(67109255, 107)\npatch_byte(67109256, 127)\npatch_byte(67109257, 2)\npatch_byte(67109258, 15)\npatch_byte(67109259, 107)\npatch_byte(67109260, 231)\npatch_byte(67109261, 3)\npatch_byte(67109262, 19)\npatch_byte(67109263, 42)\npatch_byte(67109264, 244)\npatch_byte(67109265, 3)\npatch_byte(67109266, 0)\npatch_byte(67109267, 42)\npatch_byte(67109268, 179)\npatch_byte(67109269, 1)\npatch_byte(67109270, 0)\npatch_byte(67109271, 23)\npatch_byte(67109272, 224)\npatch_byte(67109273, 3)\npatch_byte(67109274, 20)\npatch_byte(67109275, 42)\npatch_byte(67109276, 243)\npatch_byte(67109277, 3)\npatch_byte(67109278, 7)\npatch_byte(67109279, 42)\npatch_byte(67109280, 127)\npatch_byte(67109281, 2)\npatch_byte(67109282, 10)\npatch_byte(67109283, 107)\npatch_byte(67109284, 127)\npatch_byte(67109285, 2)\npatch_byte(67109286, 14)\npatch_byte(67109287, 107)\npatch_byte(67109288, 231)\npatch_byte(67109289, 3)\npatch_byte(67109290, 19)\npatch_byte(67109291, 42)\npatch_byte(67109292, 244)\npatch_byte(67109293, 3)\npatch_byte(67109294, 0)\npatch_byte(67109295, 42)\npatch_byte(67109296, 131)\npatch_byte(67109297, 1)\npatch_byte(67109298, 0)\npatch_byte(67109299, 23)\npatch_byte(1952, 231)\npatch_byte(1953, 23)\npatch_byte(1954, 159)\npatch_byte(1955, 26)\npatch_byte(1960, 111)\npatch_byte(1961, 254)\npatch_byte(1962, 255)\npatch_byte(1963, 20)\npatch_byte(67109300, 224)\npatch_byte(67109301, 3)\npatch_byte(67109302, 20)\npatch_byte(67109303, 42)\npatch_byte(67109304, 243)\npatch_byte(67109305, 3)\npatch_byte(67109306, 7)\npatch_byte(67109307, 42)\npatch_byte(67109308, 127)\npatch_byte(67109309, 2)\npatch_byte(67109310, 10)\npatch_byte(67109311, 107)\npatch_byte(67109312, 127)\npatch_byte(67109313, 2)\npatch_byte(67109314, 11)\npatch_byte(67109315, 107)\npatch_byte(67109316, 127)\npatch_byte(67109317, 2)\npatch_byte(67109318, 12)\npatch_byte(67109319, 107)\npatch_byte(67109320, 127)\npatch_byte(67109321, 2)\npatch_byte(67109322, 16)\npatch_byte(67109323, 107)\npatch_byte(67109324, 127)\npatch_byte(67109325, 2)\npatch_byte(67109326, 18)\npatch_byte(67109327, 107)\npatch_byte(67109328, 127)\npatch_byte(67109329, 2)\npatch_byte(67109330, 2)\npatch_byte(67109331, 107)\npatch_byte(67109332, 135)\npatch_byte(67109333, 129)\npatch_byte(67109334, 186)\npatch_byte(67109335, 82)\npatch_byte(67109336, 135)\npatch_byte(67109337, 12)\npatch_byte(67109338, 143)\npatch_byte(67109339, 114)\npatch_byte(67109340, 244)\npatch_byte(67109341, 3)\npatch_byte(67109342, 1)\npatch_byte(67109343, 42)\npatch_byte(67109344, 127)\npatch_byte(67109345, 2)\npatch_byte(67109346, 4)\npatch_byte(67109347, 107)\npatch_byte(67109348, 135)\npatch_byte(67109349, 129)\npatch_byte(67109350, 186)\npatch_byte(67109351, 82)\npatch_byte(67109352, 135)\npatch_byte(67109353, 12)\npatch_byte(67109354, 143)\npatch_byte(67109355, 114)\npatch_byte(67109356, 244)\npatch_byte(67109357, 3)\npatch_byte(67109358, 5)\npatch_byte(67109359, 42)\npatch_byte(67109360, 127)\npatch_byte(67109361, 2)\npatch_byte(67109362, 9)\npatch_byte(67109363, 107)\npatch_byte(67109364, 231)\npatch_byte(67109365, 3)\npatch_byte(67109366, 19)\npatch_byte(67109367, 42)\npatch_byte(67109368, 244)\npatch_byte(67109369, 3)\npatch_byte(67109370, 0)\npatch_byte(67109371, 42)\npatch_byte(67109372, 148)\npatch_byte(67109373, 1)\npatch_byte(67109374, 0)\npatch_byte(67109375, 23)\npatch_byte(2156, 82)\npatch_byte(2157, 254)\npatch_byte(2158, 255)\npatch_byte(2159, 20)\npatch_byte(67109376, 224)\npatch_byte(67109377, 3)\npatch_byte(67109378, 20)\npatch_byte(67109379, 42)\npatch_byte(67109380, 243)\npatch_byte(67109381, 3)\npatch_byte(67109382, 7)\npatch_byte(67109383, 42)\npatch_byte(67109384, 127)\npatch_byte(67109385, 2)\npatch_byte(67109386, 10)\npatch_byte(67109387, 107)\npatch_byte(67109388, 127)\npatch_byte(67109389, 2)\npatch_byte(67109390, 11)\npatch_byte(67109391, 107)\npatch_byte(67109392, 127)\npatch_byte(67109393, 2)\npatch_byte(67109394, 12)\npatch_byte(67109395, 107)\npatch_byte(67109396, 127)\npatch_byte(67109397, 2)\npatch_byte(67109398, 16)\npatch_byte(67109399, 107)\npatch_byte(67109400, 127)\npatch_byte(67109401, 2)\npatch_byte(67109402, 18)\npatch_byte(67109403, 107)\npatch_byte(67109404, 127)\npatch_byte(67109405, 2)\npatch_byte(67109406, 2)\npatch_byte(67109407, 107)\npatch_byte(67109408, 135)\npatch_byte(67109409, 129)\npatch_byte(67109410, 186)\npatch_byte(67109411, 82)\npatch_byte(67109412, 135)\npatch_byte(67109413, 12)\npatch_byte(67109414, 143)\npatch_byte(67109415, 114)\npatch_byte(67109416, 244)\npatch_byte(67109417, 3)\npatch_byte(67109418, 1)\npatch_byte(67109419, 42)\npatch_byte(67109420, 127)\npatch_byte(67109421, 2)\npatch_byte(67109422, 4)\npatch_byte(67109423, 107)\npatch_byte(67109424, 135)\npatch_byte(67109425, 129)\npatch_byte(67109426, 186)\npatch_byte(67109427, 82)\npatch_byte(67109428, 135)\npatch_byte(67109429, 12)\npatch_byte(67109430, 143)\npatch_byte(67109431, 114)\npatch_byte(67109432, 244)\npatch_byte(67109433, 3)\npatch_byte(67109434, 5)\npatch_byte(67109435, 42)\npatch_byte(67109436, 127)\npatch_byte(67109437, 2)\npatch_byte(67109438, 9)\npatch_byte(67109439, 107)\npatch_byte(67109440, 231)\npatch_byte(67109441, 3)\npatch_byte(67109442, 19)\npatch_byte(67109443, 42)\npatch_byte(67109444, 244)\npatch_byte(67109445, 3)\npatch_byte(67109446, 0)\npatch_byte(67109447, 42)\npatch_byte(67109448, 129)\npatch_byte(67109449, 1)\npatch_byte(67109450, 0)\npatch_byte(67109451, 23)\npatch_byte(2104, 114)\npatch_byte(2105, 254)\npatch_byte(2106, 255)\npatch_byte(2107, 20)\n", "<import token>\n<assignment token>\nadd_segm_ex(base, base + seg_size, 1, 2, 1, 2, ADDSEG_NOSREG)\nset_segm_name(base, 'patch')\nset_segm_class(base, 'CODE')\nset_segm_type(base, 2)\npatch_byte(67108864, 224)\npatch_byte(67108865, 3)\npatch_byte(67108866, 20)\npatch_byte(67108867, 42)\npatch_byte(67108868, 243)\npatch_byte(67108869, 3)\npatch_byte(67108870, 7)\npatch_byte(67108871, 42)\npatch_byte(67108872, 127)\npatch_byte(67108873, 2)\npatch_byte(67108874, 10)\npatch_byte(67108875, 107)\npatch_byte(67108876, 127)\npatch_byte(67108877, 2)\npatch_byte(67108878, 11)\npatch_byte(67108879, 107)\npatch_byte(67108880, 127)\npatch_byte(67108881, 2)\npatch_byte(67108882, 8)\npatch_byte(67108883, 107)\npatch_byte(67108884, 231)\npatch_byte(67108885, 3)\npatch_byte(67108886, 19)\npatch_byte(67108887, 42)\npatch_byte(67108888, 244)\npatch_byte(67108889, 3)\npatch_byte(67108890, 0)\npatch_byte(67108891, 42)\npatch_byte(67108892, 237)\npatch_byte(67108893, 1)\npatch_byte(67108894, 0)\npatch_byte(67108895, 23)\npatch_byte(1876, 43)\npatch_byte(1877, 254)\npatch_byte(1878, 255)\npatch_byte(1879, 20)\npatch_byte(67108896, 71)\npatch_byte(67108897, 0)\npatch_byte(67108898, 0)\npatch_byte(67108899, 53)\npatch_byte(67108900, 167)\npatch_byte(67108901, 1)\npatch_byte(67108902, 0)\npatch_byte(67108903, 52)\npatch_byte(67108904, 224)\npatch_byte(67108905, 3)\npatch_byte(67108906, 20)\npatch_byte(67108907, 42)\npatch_byte(67108908, 243)\npatch_byte(67108909, 3)\npatch_byte(67108910, 7)\npatch_byte(67108911, 42)\npatch_byte(67108912, 127)\npatch_byte(67108913, 2)\npatch_byte(67108914, 10)\npatch_byte(67108915, 107)\npatch_byte(67108916, 127)\npatch_byte(67108917, 2)\npatch_byte(67108918, 11)\npatch_byte(67108919, 107)\npatch_byte(67108920, 127)\npatch_byte(67108921, 2)\npatch_byte(67108922, 12)\npatch_byte(67108923, 107)\npatch_byte(67108924, 127)\npatch_byte(67108925, 2)\npatch_byte(67108926, 16)\npatch_byte(67108927, 107)\npatch_byte(67108928, 127)\npatch_byte(67108929, 2)\npatch_byte(67108930, 18)\npatch_byte(67108931, 107)\npatch_byte(67108932, 127)\npatch_byte(67108933, 2)\npatch_byte(67108934, 2)\npatch_byte(67108935, 107)\npatch_byte(67108936, 135)\npatch_byte(67108937, 129)\npatch_byte(67108938, 186)\npatch_byte(67108939, 82)\npatch_byte(67108940, 135)\npatch_byte(67108941, 12)\npatch_byte(67108942, 143)\npatch_byte(67108943, 114)\npatch_byte(67108944, 244)\npatch_byte(67108945, 3)\npatch_byte(67108946, 1)\npatch_byte(67108947, 42)\npatch_byte(67108948, 245)\npatch_byte(67108949, 1)\npatch_byte(67108950, 0)\npatch_byte(67108951, 23)\npatch_byte(67108952, 224)\npatch_byte(67108953, 3)\npatch_byte(67108954, 20)\npatch_byte(67108955, 42)\npatch_byte(67108956, 243)\npatch_byte(67108957, 3)\npatch_byte(67108958, 7)\npatch_byte(67108959, 42)\npatch_byte(67108960, 127)\npatch_byte(67108961, 2)\npatch_byte(67108962, 10)\npatch_byte(67108963, 107)\npatch_byte(67108964, 127)\npatch_byte(67108965, 2)\npatch_byte(67108966, 11)\npatch_byte(67108967, 107)\npatch_byte(67108968, 127)\npatch_byte(67108969, 2)\npatch_byte(67108970, 12)\npatch_byte(67108971, 107)\npatch_byte(67108972, 127)\npatch_byte(67108973, 2)\npatch_byte(67108974, 16)\npatch_byte(67108975, 107)\npatch_byte(67108976, 127)\npatch_byte(67108977, 2)\npatch_byte(67108978, 17)\npatch_byte(67108979, 107)\npatch_byte(67108980, 231)\npatch_byte(67108981, 3)\npatch_byte(67108982, 19)\npatch_byte(67108983, 42)\npatch_byte(67108984, 244)\npatch_byte(67108985, 3)\npatch_byte(67108986, 0)\npatch_byte(67108987, 42)\npatch_byte(67108988, 224)\npatch_byte(67108989, 1)\npatch_byte(67108990, 0)\npatch_byte(67108991, 23)\npatch_byte(1888, 231)\npatch_byte(1889, 23)\npatch_byte(1890, 159)\npatch_byte(1891, 26)\npatch_byte(1892, 47)\npatch_byte(1893, 254)\npatch_byte(1894, 255)\npatch_byte(1895, 20)\npatch_byte(67108992, 71)\npatch_byte(67108993, 0)\npatch_byte(67108994, 0)\npatch_byte(67108995, 53)\npatch_byte(67108996, 39)\npatch_byte(67108997, 1)\npatch_byte(67108998, 0)\npatch_byte(67108999, 52)\npatch_byte(67109000, 224)\npatch_byte(67109001, 3)\npatch_byte(67109002, 20)\npatch_byte(67109003, 42)\npatch_byte(67109004, 243)\npatch_byte(67109005, 3)\npatch_byte(67109006, 7)\npatch_byte(67109007, 42)\npatch_byte(67109008, 127)\npatch_byte(67109009, 2)\npatch_byte(67109010, 10)\npatch_byte(67109011, 107)\npatch_byte(67109012, 127)\npatch_byte(67109013, 2)\npatch_byte(67109014, 11)\npatch_byte(67109015, 107)\npatch_byte(67109016, 127)\npatch_byte(67109017, 2)\npatch_byte(67109018, 12)\npatch_byte(67109019, 107)\npatch_byte(67109020, 127)\npatch_byte(67109021, 2)\npatch_byte(67109022, 16)\npatch_byte(67109023, 107)\npatch_byte(67109024, 127)\npatch_byte(67109025, 2)\npatch_byte(67109026, 18)\npatch_byte(67109027, 107)\npatch_byte(67109028, 220)\npatch_byte(67109029, 1)\npatch_byte(67109030, 0)\npatch_byte(67109031, 23)\npatch_byte(67109032, 224)\npatch_byte(67109033, 3)\npatch_byte(67109034, 20)\npatch_byte(67109035, 42)\npatch_byte(67109036, 243)\npatch_byte(67109037, 3)\npatch_byte(67109038, 7)\npatch_byte(67109039, 42)\npatch_byte(67109040, 127)\npatch_byte(67109041, 2)\npatch_byte(67109042, 10)\npatch_byte(67109043, 107)\npatch_byte(67109044, 127)\npatch_byte(67109045, 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127)\npatch_byte(67109077, 2)\npatch_byte(67109078, 10)\npatch_byte(67109079, 107)\npatch_byte(67109080, 127)\npatch_byte(67109081, 2)\npatch_byte(67109082, 11)\npatch_byte(67109083, 107)\npatch_byte(67109084, 127)\npatch_byte(67109085, 2)\npatch_byte(67109086, 12)\npatch_byte(67109087, 107)\npatch_byte(67109088, 127)\npatch_byte(67109089, 2)\npatch_byte(67109090, 16)\npatch_byte(67109091, 107)\npatch_byte(67109092, 127)\npatch_byte(67109093, 2)\npatch_byte(67109094, 18)\npatch_byte(67109095, 107)\npatch_byte(67109096, 127)\npatch_byte(67109097, 2)\npatch_byte(67109098, 2)\npatch_byte(67109099, 107)\npatch_byte(67109100, 135)\npatch_byte(67109101, 129)\npatch_byte(67109102, 186)\npatch_byte(67109103, 82)\npatch_byte(67109104, 135)\npatch_byte(67109105, 12)\npatch_byte(67109106, 143)\npatch_byte(67109107, 114)\npatch_byte(67109108, 244)\npatch_byte(67109109, 3)\npatch_byte(67109110, 1)\npatch_byte(67109111, 42)\npatch_byte(67109112, 127)\npatch_byte(67109113, 2)\npatch_byte(67109114, 4)\npatch_byte(67109115, 107)\npatch_byte(67109116, 135)\npatch_byte(67109117, 129)\npatch_byte(67109118, 186)\npatch_byte(67109119, 82)\npatch_byte(67109120, 135)\npatch_byte(67109121, 12)\npatch_byte(67109122, 143)\npatch_byte(67109123, 114)\npatch_byte(67109124, 244)\npatch_byte(67109125, 3)\npatch_byte(67109126, 5)\npatch_byte(67109127, 42)\npatch_byte(67109128, 127)\npatch_byte(67109129, 2)\npatch_byte(67109130, 9)\npatch_byte(67109131, 107)\npatch_byte(67109132, 231)\npatch_byte(67109133, 3)\npatch_byte(67109134, 19)\npatch_byte(67109135, 42)\npatch_byte(67109136, 244)\npatch_byte(67109137, 3)\npatch_byte(67109138, 0)\npatch_byte(67109139, 42)\npatch_byte(67109140, 206)\npatch_byte(67109141, 1)\npatch_byte(67109142, 0)\npatch_byte(67109143, 23)\npatch_byte(2084, 42)\npatch_byte(2085, 254)\npatch_byte(2086, 255)\npatch_byte(2087, 20)\npatch_byte(67109144, 224)\npatch_byte(67109145, 3)\npatch_byte(67109146, 20)\npatch_byte(67109147, 42)\npatch_byte(67109148, 243)\npatch_byte(67109149, 3)\npatch_byte(67109150, 7)\npatch_byte(67109151, 42)\npatch_byte(67109152, 127)\npatch_byte(67109153, 2)\npatch_byte(67109154, 10)\npatch_byte(67109155, 107)\npatch_byte(67109156, 127)\npatch_byte(67109157, 2)\npatch_byte(67109158, 11)\npatch_byte(67109159, 107)\npatch_byte(67109160, 127)\npatch_byte(67109161, 2)\npatch_byte(67109162, 12)\npatch_byte(67109163, 107)\npatch_byte(67109164, 127)\npatch_byte(67109165, 2)\npatch_byte(67109166, 16)\npatch_byte(67109167, 107)\npatch_byte(67109168, 127)\npatch_byte(67109169, 2)\npatch_byte(67109170, 18)\npatch_byte(67109171, 107)\npatch_byte(67109172, 127)\npatch_byte(67109173, 2)\npatch_byte(67109174, 2)\npatch_byte(67109175, 107)\npatch_byte(67109176, 135)\npatch_byte(67109177, 129)\npatch_byte(67109178, 186)\npatch_byte(67109179, 82)\npatch_byte(67109180, 135)\npatch_byte(67109181, 12)\npatch_byte(67109182, 143)\npatch_byte(67109183, 114)\npatch_byte(67109184, 244)\npatch_byte(67109185, 3)\npatch_byte(67109186, 1)\npatch_byte(67109187, 42)\npatch_byte(67109188, 127)\npatch_byte(67109189, 2)\npatch_byte(67109190, 4)\npatch_byte(67109191, 107)\npatch_byte(67109192, 135)\npatch_byte(67109193, 129)\npatch_byte(67109194, 186)\npatch_byte(67109195, 82)\npatch_byte(67109196, 135)\npatch_byte(67109197, 12)\npatch_byte(67109198, 143)\npatch_byte(67109199, 114)\npatch_byte(67109200, 244)\npatch_byte(67109201, 3)\npatch_byte(67109202, 5)\npatch_byte(67109203, 42)\npatch_byte(67109204, 127)\npatch_byte(67109205, 2)\npatch_byte(67109206, 9)\npatch_byte(67109207, 107)\npatch_byte(67109208, 231)\npatch_byte(67109209, 3)\npatch_byte(67109210, 19)\npatch_byte(67109211, 42)\npatch_byte(67109212, 244)\npatch_byte(67109213, 3)\npatch_byte(67109214, 0)\npatch_byte(67109215, 42)\npatch_byte(67109216, 187)\npatch_byte(67109217, 1)\npatch_byte(67109218, 0)\npatch_byte(67109219, 23)\npatch_byte(2056, 68)\npatch_byte(2057, 254)\npatch_byte(2058, 255)\npatch_byte(2059, 20)\npatch_byte(67109220, 71)\npatch_byte(67109221, 0)\npatch_byte(67109222, 0)\npatch_byte(67109223, 53)\npatch_byte(67109224, 135)\npatch_byte(67109225, 1)\npatch_byte(67109226, 0)\npatch_byte(67109227, 52)\npatch_byte(67109228, 224)\npatch_byte(67109229, 3)\npatch_byte(67109230, 20)\npatch_byte(67109231, 42)\npatch_byte(67109232, 243)\npatch_byte(67109233, 3)\npatch_byte(67109234, 7)\npatch_byte(67109235, 42)\npatch_byte(67109236, 127)\npatch_byte(67109237, 2)\npatch_byte(67109238, 10)\npatch_byte(67109239, 107)\npatch_byte(67109240, 127)\npatch_byte(67109241, 2)\npatch_byte(67109242, 11)\npatch_byte(67109243, 107)\npatch_byte(67109244, 127)\npatch_byte(67109245, 2)\npatch_byte(67109246, 12)\npatch_byte(67109247, 107)\npatch_byte(67109248, 127)\npatch_byte(67109249, 2)\npatch_byte(67109250, 16)\npatch_byte(67109251, 107)\npatch_byte(67109252, 127)\npatch_byte(67109253, 2)\npatch_byte(67109254, 18)\npatch_byte(67109255, 107)\npatch_byte(67109256, 127)\npatch_byte(67109257, 2)\npatch_byte(67109258, 15)\npatch_byte(67109259, 107)\npatch_byte(67109260, 231)\npatch_byte(67109261, 3)\npatch_byte(67109262, 19)\npatch_byte(67109263, 42)\npatch_byte(67109264, 244)\npatch_byte(67109265, 3)\npatch_byte(67109266, 0)\npatch_byte(67109267, 42)\npatch_byte(67109268, 179)\npatch_byte(67109269, 1)\npatch_byte(67109270, 0)\npatch_byte(67109271, 23)\npatch_byte(67109272, 224)\npatch_byte(67109273, 3)\npatch_byte(67109274, 20)\npatch_byte(67109275, 42)\npatch_byte(67109276, 243)\npatch_byte(67109277, 3)\npatch_byte(67109278, 7)\npatch_byte(67109279, 42)\npatch_byte(67109280, 127)\npatch_byte(67109281, 2)\npatch_byte(67109282, 10)\npatch_byte(67109283, 107)\npatch_byte(67109284, 127)\npatch_byte(67109285, 2)\npatch_byte(67109286, 14)\npatch_byte(67109287, 107)\npatch_byte(67109288, 231)\npatch_byte(67109289, 3)\npatch_byte(67109290, 19)\npatch_byte(67109291, 42)\npatch_byte(67109292, 244)\npatch_byte(67109293, 3)\npatch_byte(67109294, 0)\npatch_byte(67109295, 42)\npatch_byte(67109296, 131)\npatch_byte(67109297, 1)\npatch_byte(67109298, 0)\npatch_byte(67109299, 23)\npatch_byte(1952, 231)\npatch_byte(1953, 23)\npatch_byte(1954, 159)\npatch_byte(1955, 26)\npatch_byte(1960, 111)\npatch_byte(1961, 254)\npatch_byte(1962, 255)\npatch_byte(1963, 20)\npatch_byte(67109300, 224)\npatch_byte(67109301, 3)\npatch_byte(67109302, 20)\npatch_byte(67109303, 42)\npatch_byte(67109304, 243)\npatch_byte(67109305, 3)\npatch_byte(67109306, 7)\npatch_byte(67109307, 42)\npatch_byte(67109308, 127)\npatch_byte(67109309, 2)\npatch_byte(67109310, 10)\npatch_byte(67109311, 107)\npatch_byte(67109312, 127)\npatch_byte(67109313, 2)\npatch_byte(67109314, 11)\npatch_byte(67109315, 107)\npatch_byte(67109316, 127)\npatch_byte(67109317, 2)\npatch_byte(67109318, 12)\npatch_byte(67109319, 107)\npatch_byte(67109320, 127)\npatch_byte(67109321, 2)\npatch_byte(67109322, 16)\npatch_byte(67109323, 107)\npatch_byte(67109324, 127)\npatch_byte(67109325, 2)\npatch_byte(67109326, 18)\npatch_byte(67109327, 107)\npatch_byte(67109328, 127)\npatch_byte(67109329, 2)\npatch_byte(67109330, 2)\npatch_byte(67109331, 107)\npatch_byte(67109332, 135)\npatch_byte(67109333, 129)\npatch_byte(67109334, 186)\npatch_byte(67109335, 82)\npatch_byte(67109336, 135)\npatch_byte(67109337, 12)\npatch_byte(67109338, 143)\npatch_byte(67109339, 114)\npatch_byte(67109340, 244)\npatch_byte(67109341, 3)\npatch_byte(67109342, 1)\npatch_byte(67109343, 42)\npatch_byte(67109344, 127)\npatch_byte(67109345, 2)\npatch_byte(67109346, 4)\npatch_byte(67109347, 107)\npatch_byte(67109348, 135)\npatch_byte(67109349, 129)\npatch_byte(67109350, 186)\npatch_byte(67109351, 82)\npatch_byte(67109352, 135)\npatch_byte(67109353, 12)\npatch_byte(67109354, 143)\npatch_byte(67109355, 114)\npatch_byte(67109356, 244)\npatch_byte(67109357, 3)\npatch_byte(67109358, 5)\npatch_byte(67109359, 42)\npatch_byte(67109360, 127)\npatch_byte(67109361, 2)\npatch_byte(67109362, 9)\npatch_byte(67109363, 107)\npatch_byte(67109364, 231)\npatch_byte(67109365, 3)\npatch_byte(67109366, 19)\npatch_byte(67109367, 42)\npatch_byte(67109368, 244)\npatch_byte(67109369, 3)\npatch_byte(67109370, 0)\npatch_byte(67109371, 42)\npatch_byte(67109372, 148)\npatch_byte(67109373, 1)\npatch_byte(67109374, 0)\npatch_byte(67109375, 23)\npatch_byte(2156, 82)\npatch_byte(2157, 254)\npatch_byte(2158, 255)\npatch_byte(2159, 20)\npatch_byte(67109376, 224)\npatch_byte(67109377, 3)\npatch_byte(67109378, 20)\npatch_byte(67109379, 42)\npatch_byte(67109380, 243)\npatch_byte(67109381, 3)\npatch_byte(67109382, 7)\npatch_byte(67109383, 42)\npatch_byte(67109384, 127)\npatch_byte(67109385, 2)\npatch_byte(67109386, 10)\npatch_byte(67109387, 107)\npatch_byte(67109388, 127)\npatch_byte(67109389, 2)\npatch_byte(67109390, 11)\npatch_byte(67109391, 107)\npatch_byte(67109392, 127)\npatch_byte(67109393, 2)\npatch_byte(67109394, 12)\npatch_byte(67109395, 107)\npatch_byte(67109396, 127)\npatch_byte(67109397, 2)\npatch_byte(67109398, 16)\npatch_byte(67109399, 107)\npatch_byte(67109400, 127)\npatch_byte(67109401, 2)\npatch_byte(67109402, 18)\npatch_byte(67109403, 107)\npatch_byte(67109404, 127)\npatch_byte(67109405, 2)\npatch_byte(67109406, 2)\npatch_byte(67109407, 107)\npatch_byte(67109408, 135)\npatch_byte(67109409, 129)\npatch_byte(67109410, 186)\npatch_byte(67109411, 82)\npatch_byte(67109412, 135)\npatch_byte(67109413, 12)\npatch_byte(67109414, 143)\npatch_byte(67109415, 114)\npatch_byte(67109416, 244)\npatch_byte(67109417, 3)\npatch_byte(67109418, 1)\npatch_byte(67109419, 42)\npatch_byte(67109420, 127)\npatch_byte(67109421, 2)\npatch_byte(67109422, 4)\npatch_byte(67109423, 107)\npatch_byte(67109424, 135)\npatch_byte(67109425, 129)\npatch_byte(67109426, 186)\npatch_byte(67109427, 82)\npatch_byte(67109428, 135)\npatch_byte(67109429, 12)\npatch_byte(67109430, 143)\npatch_byte(67109431, 114)\npatch_byte(67109432, 244)\npatch_byte(67109433, 3)\npatch_byte(67109434, 5)\npatch_byte(67109435, 42)\npatch_byte(67109436, 127)\npatch_byte(67109437, 2)\npatch_byte(67109438, 9)\npatch_byte(67109439, 107)\npatch_byte(67109440, 231)\npatch_byte(67109441, 3)\npatch_byte(67109442, 19)\npatch_byte(67109443, 42)\npatch_byte(67109444, 244)\npatch_byte(67109445, 3)\npatch_byte(67109446, 0)\npatch_byte(67109447, 42)\npatch_byte(67109448, 129)\npatch_byte(67109449, 1)\npatch_byte(67109450, 0)\npatch_byte(67109451, 23)\npatch_byte(2104, 114)\npatch_byte(2105, 254)\npatch_byte(2106, 255)\npatch_byte(2107, 20)\n", "<import token>\n<assignment token>\n<code token>\n" ]
false
98,602
6ad01f70554c7289a9ef21bd0052bba5c326741c
""" django-peavy makes it easy to collect and monitor Django application logging. """ VERSION = (0, 9, 0) def get_version(): return '.'.join((str(d) for d in VERSION))
[ "\"\"\"\ndjango-peavy makes it easy to collect and monitor Django application logging.\n\"\"\"\nVERSION = (0, 9, 0)\n\n\ndef get_version():\n return '.'.join((str(d) for d in VERSION))\n", "<docstring token>\nVERSION = 0, 9, 0\n\n\ndef get_version():\n return '.'.join(str(d) for d in VERSION)\n", "<docstring token>\n<assignment token>\n\n\ndef get_version():\n return '.'.join(str(d) for d in VERSION)\n", "<docstring token>\n<assignment token>\n<function token>\n" ]
false
98,603
902b77933c6d369a13fa8963737cde0a22c0d01b
# This is a one line comment # Exponentiation exponents = 10**2 print(exponents) """ this is a multi line comment modulo - returns the remainder """ a=100 b=3 remainder = a % b print("Getting the modulo of " + str(a)+ " % "+ str(b) + " is just like getting the remainder integer when " + str(a) +" is being divided by " + str(b)) print("The modulo of ("+str(a) +" % "+str(b) +") is " + str(remainder))
[ "# This is a one line comment\r\n\r\n# Exponentiation\r\n\r\nexponents = 10**2\r\nprint(exponents)\r\n\r\n\r\n\"\"\"\r\nthis is a multi line comment\r\nmodulo - returns the remainder\r\n\"\"\"\r\na=100\r\nb=3\r\nremainder = a % b\r\nprint(\"Getting the modulo of \" + str(a)+ \" % \"+ str(b) + \" is just like getting the remainder integer when \" + str(a) +\" is being divided by \" + str(b))\r\nprint(\"The modulo of (\"+str(a) +\" % \"+str(b) +\") is \" + str(remainder))\r\n", "exponents = 10 ** 2\nprint(exponents)\n<docstring token>\na = 100\nb = 3\nremainder = a % b\nprint('Getting the modulo of ' + str(a) + ' % ' + str(b) +\n ' is just like getting the remainder integer when ' + str(a) +\n ' is being divided by ' + str(b))\nprint('The modulo of (' + str(a) + ' % ' + str(b) + ') is ' + str(remainder))\n", "<assignment token>\nprint(exponents)\n<docstring token>\n<assignment token>\nprint('Getting the modulo of ' + str(a) + ' % ' + str(b) +\n ' is just like getting the remainder integer when ' + str(a) +\n ' is being divided by ' + str(b))\nprint('The modulo of (' + str(a) + ' % ' + str(b) + ') is ' + str(remainder))\n", "<assignment token>\n<code token>\n<docstring token>\n<assignment token>\n<code token>\n" ]
false
98,604
3d8e1a2f51e29477e167f54e1e87b1e520f7cb68
from django.contrib import admin # Register your models here. from .models import Contract, Company, Contract_type, Currency class ContractAdmin(admin.ModelAdmin): list_display = ["id", "company", "contract_type", "currency_type", "date_start", "date_end", "contract_value"] list_display_links = ["id"] list_editable = ["company", "contract_type", "currency_type", "date_start", "date_end", "contract_value"] list_filter = ["company", "contract_type", "currency_type", "date_start", "date_end", "contract_value"] search_fields = ["company", "contract_type", "currency_type", "date_start", "date_end", "contract_value"] # class Meta: # model = Contract admin.site.register(Contract, ContractAdmin) class CompanyAdmin(admin.ModelAdmin): list_display = ["id", "name"] list_display_links = ["id"] list_editable = ["name"] list_filter = ["name"] search_fields = ["name"] class Meta: verbose_name_plural = "companies" admin.site.register(Company, CompanyAdmin) class Contract_typeAdmin(admin.ModelAdmin): list_display = ["id", "contract_type"] list_display_links = ["id"] list_editable = ["contract_type"] list_filter = ["contract_type"] search_fields = ["contract_type"] admin.site.register(Contract_type, Contract_typeAdmin) class CurrencyAdmin(admin.ModelAdmin): list_display = ["id", "currency_type"] list_display_links = ["id"] list_editable = ["currency_type"] list_filter = ["currency_type"] search_fields = ["currency_type"] class Meta: verbose_name_plural = "companies" admin.site.register(Currency, CurrencyAdmin)
[ "from django.contrib import admin\n\n# Register your models here.\nfrom .models import Contract, Company, Contract_type, Currency\n\nclass ContractAdmin(admin.ModelAdmin):\n list_display = [\"id\", \"company\", \"contract_type\", \"currency_type\", \"date_start\", \"date_end\", \"contract_value\"]\n list_display_links = [\"id\"]\n list_editable = [\"company\", \"contract_type\", \"currency_type\", \"date_start\", \"date_end\", \"contract_value\"]\n list_filter = [\"company\", \"contract_type\", \"currency_type\", \"date_start\", \"date_end\", \"contract_value\"]\n\n search_fields = [\"company\", \"contract_type\", \"currency_type\", \"date_start\", \"date_end\", \"contract_value\"]\n\n # class Meta:\n # model = Contract\n\nadmin.site.register(Contract, ContractAdmin)\n\n\nclass CompanyAdmin(admin.ModelAdmin):\n list_display = [\"id\", \"name\"]\n list_display_links = [\"id\"]\n list_editable = [\"name\"]\n list_filter = [\"name\"]\n search_fields = [\"name\"]\n\n class Meta:\n verbose_name_plural = \"companies\"\n\nadmin.site.register(Company, CompanyAdmin)\n\n\nclass Contract_typeAdmin(admin.ModelAdmin):\n list_display = [\"id\", \"contract_type\"]\n list_display_links = [\"id\"]\n list_editable = [\"contract_type\"]\n list_filter = [\"contract_type\"]\n search_fields = [\"contract_type\"]\n\nadmin.site.register(Contract_type, Contract_typeAdmin)\n\n\nclass CurrencyAdmin(admin.ModelAdmin):\n list_display = [\"id\", \"currency_type\"]\n list_display_links = [\"id\"]\n list_editable = [\"currency_type\"]\n list_filter = [\"currency_type\"]\n search_fields = [\"currency_type\"]\n\n class Meta:\n verbose_name_plural = \"companies\"\n\nadmin.site.register(Currency, CurrencyAdmin)", "from django.contrib import admin\nfrom .models import Contract, Company, Contract_type, Currency\n\n\nclass ContractAdmin(admin.ModelAdmin):\n list_display = ['id', 'company', 'contract_type', 'currency_type',\n 'date_start', 'date_end', 'contract_value']\n list_display_links = ['id']\n list_editable = ['company', 'contract_type', 'currency_type',\n 'date_start', 'date_end', 'contract_value']\n list_filter = ['company', 'contract_type', 'currency_type',\n 'date_start', 'date_end', 'contract_value']\n search_fields = ['company', 'contract_type', 'currency_type',\n 'date_start', 'date_end', 'contract_value']\n\n\nadmin.site.register(Contract, ContractAdmin)\n\n\nclass CompanyAdmin(admin.ModelAdmin):\n list_display = ['id', 'name']\n list_display_links = ['id']\n list_editable = ['name']\n list_filter = ['name']\n search_fields = ['name']\n\n\n class Meta:\n verbose_name_plural = 'companies'\n\n\nadmin.site.register(Company, CompanyAdmin)\n\n\nclass Contract_typeAdmin(admin.ModelAdmin):\n list_display = ['id', 'contract_type']\n list_display_links = ['id']\n list_editable = ['contract_type']\n list_filter = ['contract_type']\n search_fields = ['contract_type']\n\n\nadmin.site.register(Contract_type, Contract_typeAdmin)\n\n\nclass CurrencyAdmin(admin.ModelAdmin):\n list_display = ['id', 'currency_type']\n list_display_links = ['id']\n list_editable = ['currency_type']\n list_filter = ['currency_type']\n search_fields = ['currency_type']\n\n\n class Meta:\n verbose_name_plural = 'companies'\n\n\nadmin.site.register(Currency, CurrencyAdmin)\n", "<import token>\n\n\nclass ContractAdmin(admin.ModelAdmin):\n list_display = ['id', 'company', 'contract_type', 'currency_type',\n 'date_start', 'date_end', 'contract_value']\n list_display_links = ['id']\n list_editable = ['company', 'contract_type', 'currency_type',\n 'date_start', 'date_end', 'contract_value']\n list_filter = ['company', 'contract_type', 'currency_type',\n 'date_start', 'date_end', 'contract_value']\n search_fields = ['company', 'contract_type', 'currency_type',\n 'date_start', 'date_end', 'contract_value']\n\n\nadmin.site.register(Contract, ContractAdmin)\n\n\nclass CompanyAdmin(admin.ModelAdmin):\n list_display = ['id', 'name']\n list_display_links = ['id']\n list_editable = ['name']\n list_filter = ['name']\n search_fields = ['name']\n\n\n class Meta:\n verbose_name_plural = 'companies'\n\n\nadmin.site.register(Company, CompanyAdmin)\n\n\nclass Contract_typeAdmin(admin.ModelAdmin):\n list_display = ['id', 'contract_type']\n list_display_links = ['id']\n list_editable = ['contract_type']\n list_filter = ['contract_type']\n search_fields = ['contract_type']\n\n\nadmin.site.register(Contract_type, Contract_typeAdmin)\n\n\nclass CurrencyAdmin(admin.ModelAdmin):\n list_display = ['id', 'currency_type']\n list_display_links = ['id']\n list_editable = ['currency_type']\n list_filter = ['currency_type']\n search_fields = ['currency_type']\n\n\n class Meta:\n verbose_name_plural = 'companies'\n\n\nadmin.site.register(Currency, CurrencyAdmin)\n", "<import token>\n\n\nclass ContractAdmin(admin.ModelAdmin):\n list_display = ['id', 'company', 'contract_type', 'currency_type',\n 'date_start', 'date_end', 'contract_value']\n list_display_links = ['id']\n list_editable = ['company', 'contract_type', 'currency_type',\n 'date_start', 'date_end', 'contract_value']\n list_filter = ['company', 'contract_type', 'currency_type',\n 'date_start', 'date_end', 'contract_value']\n search_fields = ['company', 'contract_type', 'currency_type',\n 'date_start', 'date_end', 'contract_value']\n\n\n<code token>\n\n\nclass CompanyAdmin(admin.ModelAdmin):\n list_display = ['id', 'name']\n list_display_links = ['id']\n list_editable = ['name']\n list_filter = ['name']\n search_fields = ['name']\n\n\n class Meta:\n verbose_name_plural = 'companies'\n\n\n<code token>\n\n\nclass Contract_typeAdmin(admin.ModelAdmin):\n list_display = ['id', 'contract_type']\n list_display_links = ['id']\n list_editable = ['contract_type']\n list_filter = ['contract_type']\n search_fields = ['contract_type']\n\n\n<code token>\n\n\nclass CurrencyAdmin(admin.ModelAdmin):\n list_display = ['id', 'currency_type']\n list_display_links = ['id']\n list_editable = ['currency_type']\n list_filter = ['currency_type']\n search_fields = ['currency_type']\n\n\n class Meta:\n verbose_name_plural = 'companies'\n\n\n<code token>\n", "<import token>\n\n\nclass ContractAdmin(admin.ModelAdmin):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n\n<code token>\n\n\nclass CompanyAdmin(admin.ModelAdmin):\n list_display = ['id', 'name']\n list_display_links = ['id']\n list_editable = ['name']\n list_filter = ['name']\n search_fields = ['name']\n\n\n class Meta:\n verbose_name_plural = 'companies'\n\n\n<code token>\n\n\nclass Contract_typeAdmin(admin.ModelAdmin):\n list_display = ['id', 'contract_type']\n list_display_links = ['id']\n list_editable = ['contract_type']\n list_filter = ['contract_type']\n search_fields = ['contract_type']\n\n\n<code token>\n\n\nclass CurrencyAdmin(admin.ModelAdmin):\n list_display = ['id', 'currency_type']\n list_display_links = ['id']\n list_editable = ['currency_type']\n list_filter = ['currency_type']\n search_fields = ['currency_type']\n\n\n class Meta:\n verbose_name_plural = 'companies'\n\n\n<code token>\n", "<import token>\n<class token>\n<code token>\n\n\nclass CompanyAdmin(admin.ModelAdmin):\n list_display = ['id', 'name']\n list_display_links = ['id']\n list_editable = ['name']\n list_filter = ['name']\n search_fields = ['name']\n\n\n class Meta:\n verbose_name_plural = 'companies'\n\n\n<code token>\n\n\nclass Contract_typeAdmin(admin.ModelAdmin):\n list_display = ['id', 'contract_type']\n list_display_links = ['id']\n list_editable = ['contract_type']\n list_filter = ['contract_type']\n search_fields = ['contract_type']\n\n\n<code token>\n\n\nclass CurrencyAdmin(admin.ModelAdmin):\n list_display = ['id', 'currency_type']\n list_display_links = ['id']\n list_editable = ['currency_type']\n list_filter = ['currency_type']\n search_fields = ['currency_type']\n\n\n class Meta:\n verbose_name_plural = 'companies'\n\n\n<code token>\n", "<import token>\n<class token>\n<code token>\n\n\nclass CompanyAdmin(admin.ModelAdmin):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n\n class Meta:\n verbose_name_plural = 'companies'\n\n\n<code token>\n\n\nclass Contract_typeAdmin(admin.ModelAdmin):\n list_display = ['id', 'contract_type']\n list_display_links = ['id']\n list_editable = ['contract_type']\n list_filter = ['contract_type']\n search_fields = ['contract_type']\n\n\n<code token>\n\n\nclass CurrencyAdmin(admin.ModelAdmin):\n list_display = ['id', 'currency_type']\n list_display_links = ['id']\n list_editable = ['currency_type']\n list_filter = ['currency_type']\n search_fields = ['currency_type']\n\n\n class Meta:\n verbose_name_plural = 'companies'\n\n\n<code token>\n", "<import token>\n<class token>\n<code token>\n<class token>\n<code token>\n\n\nclass Contract_typeAdmin(admin.ModelAdmin):\n list_display = ['id', 'contract_type']\n list_display_links = ['id']\n list_editable = ['contract_type']\n list_filter = ['contract_type']\n search_fields = ['contract_type']\n\n\n<code token>\n\n\nclass CurrencyAdmin(admin.ModelAdmin):\n list_display = ['id', 'currency_type']\n list_display_links = ['id']\n list_editable = ['currency_type']\n list_filter = ['currency_type']\n search_fields = ['currency_type']\n\n\n class Meta:\n verbose_name_plural = 'companies'\n\n\n<code token>\n", "<import token>\n<class token>\n<code token>\n<class token>\n<code token>\n\n\nclass Contract_typeAdmin(admin.ModelAdmin):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n\n<code token>\n\n\nclass CurrencyAdmin(admin.ModelAdmin):\n list_display = ['id', 'currency_type']\n list_display_links = ['id']\n list_editable = ['currency_type']\n list_filter = ['currency_type']\n search_fields = ['currency_type']\n\n\n class Meta:\n verbose_name_plural = 'companies'\n\n\n<code token>\n", "<import token>\n<class token>\n<code token>\n<class token>\n<code token>\n<class token>\n<code token>\n\n\nclass CurrencyAdmin(admin.ModelAdmin):\n list_display = ['id', 'currency_type']\n list_display_links = ['id']\n list_editable = ['currency_type']\n list_filter = ['currency_type']\n search_fields = ['currency_type']\n\n\n class Meta:\n verbose_name_plural = 'companies'\n\n\n<code token>\n", "<import token>\n<class token>\n<code token>\n<class token>\n<code token>\n<class token>\n<code token>\n\n\nclass CurrencyAdmin(admin.ModelAdmin):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n\n class Meta:\n verbose_name_plural = 'companies'\n\n\n<code token>\n", "<import token>\n<class token>\n<code token>\n<class token>\n<code token>\n<class token>\n<code token>\n<class token>\n<code token>\n" ]
false
98,605
c0ece1fd1eb19927510801231b5ed2465aa88fa3
# pytest-osxnotify # Mac OS X notification center support for py.test # Requirements: pyobjc-core import time # Lazy-import pyobjc to work around a conflict with pytest-xdist # looponfail on Python 3.3 objc = None def pytest_addoption(parser): """ Adds options to control notifications. """ group = parser.getgroup('terminal reporting') group.addoption( '--osxnotify', dest='osxnotify', default=True, help='Enable Mac OS X notification center notifications.' ) def pytest_sessionstart(session): if session.config.option.osxnotify: notify('py.test', 'Running tests...') def pytest_terminal_summary(terminalreporter): if not terminalreporter.config.option.osxnotify: return tr = terminalreporter passes = len(tr.stats.get('passed', [])) fails = len(tr.stats.get('failed', [])) skips = len(tr.stats.get('deselected', [])) errors = len(tr.stats.get('error', [])) if errors + passes + fails + skips == 0: msg = 'No tests ran' elif passes and not (fails or errors): msg = 'Success - %i Passed' % passes elif not (skips or errors): msg = '%s Passed %s Failed' % (passes, fails) else: msg = '%s Passed %s Failed %s Errors %s Skipped' % ( passes, fails, errors, skips ) notify('py.test', msg) # Delay a bit to ensure that all notifications get displayed # even if py.test finishes very quickly. # It's unfortunate that this is a magic value for now. time.sleep(0.3) def swizzle(cls, SEL, func): old_IMP = getattr(cls, SEL, None) if old_IMP is None: # This will work on OS X <= 10.9 old_IMP = cls.instanceMethodForSelector_(SEL) def wrapper(self, *args, **kwargs): return func(self, old_IMP, *args, **kwargs) new_IMP = objc.selector( wrapper, selector=old_IMP.selector, signature=old_IMP.signature ) objc.classAddMethod(cls, SEL.encode(), new_IMP) def notify(title, subtitle=None): """ Display a NSUserNotification on Mac OS X >= 10.8 """ global objc if not objc: objc = __import__('objc') swizzle( objc.lookUpClass('NSBundle'), 'bundleIdentifier', swizzled_bundleIdentifier ) NSUserNotification = objc.lookUpClass('NSUserNotification') NSUserNotificationCenter = objc.lookUpClass('NSUserNotificationCenter') if not NSUserNotification or not NSUserNotificationCenter: print('NSUserNotifcation is not supported by your version of Mac OS X') return notification = NSUserNotification.alloc().init() notification.setTitle_(str(title)) if subtitle: notification.setSubtitle_(str(subtitle)) notification_center = NSUserNotificationCenter.defaultUserNotificationCenter() notification_center.deliverNotification_(notification) def swizzled_bundleIdentifier(self, original): """ Swizzle [NSBundle bundleIdentifier] to make NSUserNotifications work. To post NSUserNotifications OS X requires the binary to be packaged as an application bundle. To circumvent this restriction, we modify `bundleIdentifier` to return a fake bundle identifier. Original idea for this approach by Norio Numura: https://github.com/norio-nomura/usernotification """ return 'com.apple.terminal'
[ "# pytest-osxnotify\n# Mac OS X notification center support for py.test\n# Requirements: pyobjc-core\nimport time\n\n# Lazy-import pyobjc to work around a conflict with pytest-xdist\n# looponfail on Python 3.3\nobjc = None\n\n\ndef pytest_addoption(parser):\n \"\"\"\n Adds options to control notifications.\n\n \"\"\"\n group = parser.getgroup('terminal reporting')\n group.addoption(\n '--osxnotify',\n dest='osxnotify',\n default=True,\n help='Enable Mac OS X notification center notifications.'\n )\n\n\ndef pytest_sessionstart(session):\n if session.config.option.osxnotify:\n notify('py.test', 'Running tests...')\n\n\ndef pytest_terminal_summary(terminalreporter):\n if not terminalreporter.config.option.osxnotify:\n return\n tr = terminalreporter\n passes = len(tr.stats.get('passed', []))\n fails = len(tr.stats.get('failed', []))\n skips = len(tr.stats.get('deselected', []))\n errors = len(tr.stats.get('error', []))\n if errors + passes + fails + skips == 0:\n msg = 'No tests ran'\n elif passes and not (fails or errors):\n msg = 'Success - %i Passed' % passes\n elif not (skips or errors):\n msg = '%s Passed %s Failed' % (passes, fails)\n else:\n msg = '%s Passed %s Failed %s Errors %s Skipped' % (\n passes, fails, errors, skips\n )\n notify('py.test', msg)\n # Delay a bit to ensure that all notifications get displayed\n # even if py.test finishes very quickly.\n # It's unfortunate that this is a magic value for now.\n time.sleep(0.3)\n\n\ndef swizzle(cls, SEL, func):\n old_IMP = getattr(cls, SEL, None)\n if old_IMP is None:\n # This will work on OS X <= 10.9\n old_IMP = cls.instanceMethodForSelector_(SEL)\n\n def wrapper(self, *args, **kwargs):\n return func(self, old_IMP, *args, **kwargs)\n\n new_IMP = objc.selector(\n wrapper,\n selector=old_IMP.selector,\n signature=old_IMP.signature\n )\n objc.classAddMethod(cls, SEL.encode(), new_IMP)\n\n\ndef notify(title, subtitle=None):\n \"\"\"\n Display a NSUserNotification on Mac OS X >= 10.8\n\n \"\"\"\n global objc\n if not objc:\n objc = __import__('objc')\n swizzle(\n objc.lookUpClass('NSBundle'),\n 'bundleIdentifier',\n swizzled_bundleIdentifier\n )\n\n NSUserNotification = objc.lookUpClass('NSUserNotification')\n NSUserNotificationCenter = objc.lookUpClass('NSUserNotificationCenter')\n if not NSUserNotification or not NSUserNotificationCenter:\n print('NSUserNotifcation is not supported by your version of Mac OS X')\n return\n\n notification = NSUserNotification.alloc().init()\n notification.setTitle_(str(title))\n if subtitle:\n notification.setSubtitle_(str(subtitle))\n\n notification_center = NSUserNotificationCenter.defaultUserNotificationCenter()\n notification_center.deliverNotification_(notification)\n\n\ndef swizzled_bundleIdentifier(self, original):\n \"\"\"\n Swizzle [NSBundle bundleIdentifier] to make NSUserNotifications work.\n\n To post NSUserNotifications OS X requires the binary to be packaged\n as an application bundle. To circumvent this restriction, we modify\n `bundleIdentifier` to return a fake bundle identifier.\n\n Original idea for this approach by Norio Numura:\n https://github.com/norio-nomura/usernotification\n\n \"\"\"\n return 'com.apple.terminal'\n", "import time\nobjc = None\n\n\ndef pytest_addoption(parser):\n \"\"\"\n Adds options to control notifications.\n\n \"\"\"\n group = parser.getgroup('terminal reporting')\n group.addoption('--osxnotify', dest='osxnotify', default=True, help=\n 'Enable Mac OS X notification center notifications.')\n\n\ndef pytest_sessionstart(session):\n if session.config.option.osxnotify:\n notify('py.test', 'Running tests...')\n\n\ndef pytest_terminal_summary(terminalreporter):\n if not terminalreporter.config.option.osxnotify:\n return\n tr = terminalreporter\n passes = len(tr.stats.get('passed', []))\n fails = len(tr.stats.get('failed', []))\n skips = len(tr.stats.get('deselected', []))\n errors = len(tr.stats.get('error', []))\n if errors + passes + fails + skips == 0:\n msg = 'No tests ran'\n elif passes and not (fails or errors):\n msg = 'Success - %i Passed' % passes\n elif not (skips or errors):\n msg = '%s Passed %s Failed' % (passes, fails)\n else:\n msg = '%s Passed %s Failed %s Errors %s Skipped' % (passes, fails,\n errors, skips)\n notify('py.test', msg)\n time.sleep(0.3)\n\n\ndef swizzle(cls, SEL, func):\n old_IMP = getattr(cls, SEL, None)\n if old_IMP is None:\n old_IMP = cls.instanceMethodForSelector_(SEL)\n\n def wrapper(self, *args, **kwargs):\n return func(self, old_IMP, *args, **kwargs)\n new_IMP = objc.selector(wrapper, selector=old_IMP.selector, signature=\n old_IMP.signature)\n objc.classAddMethod(cls, SEL.encode(), new_IMP)\n\n\ndef notify(title, subtitle=None):\n \"\"\"\n Display a NSUserNotification on Mac OS X >= 10.8\n\n \"\"\"\n global objc\n if not objc:\n objc = __import__('objc')\n swizzle(objc.lookUpClass('NSBundle'), 'bundleIdentifier',\n swizzled_bundleIdentifier)\n NSUserNotification = objc.lookUpClass('NSUserNotification')\n NSUserNotificationCenter = objc.lookUpClass('NSUserNotificationCenter')\n if not NSUserNotification or not NSUserNotificationCenter:\n print('NSUserNotifcation is not supported by your version of Mac OS X')\n return\n notification = NSUserNotification.alloc().init()\n notification.setTitle_(str(title))\n if subtitle:\n notification.setSubtitle_(str(subtitle))\n notification_center = (NSUserNotificationCenter.\n defaultUserNotificationCenter())\n notification_center.deliverNotification_(notification)\n\n\ndef swizzled_bundleIdentifier(self, original):\n \"\"\"\n Swizzle [NSBundle bundleIdentifier] to make NSUserNotifications work.\n\n To post NSUserNotifications OS X requires the binary to be packaged\n as an application bundle. To circumvent this restriction, we modify\n `bundleIdentifier` to return a fake bundle identifier.\n\n Original idea for this approach by Norio Numura:\n https://github.com/norio-nomura/usernotification\n\n \"\"\"\n return 'com.apple.terminal'\n", "<import token>\nobjc = None\n\n\ndef pytest_addoption(parser):\n \"\"\"\n Adds options to control notifications.\n\n \"\"\"\n group = parser.getgroup('terminal reporting')\n group.addoption('--osxnotify', dest='osxnotify', default=True, help=\n 'Enable Mac OS X notification center notifications.')\n\n\ndef pytest_sessionstart(session):\n if session.config.option.osxnotify:\n notify('py.test', 'Running tests...')\n\n\ndef pytest_terminal_summary(terminalreporter):\n if not terminalreporter.config.option.osxnotify:\n return\n tr = terminalreporter\n passes = len(tr.stats.get('passed', []))\n fails = len(tr.stats.get('failed', []))\n skips = len(tr.stats.get('deselected', []))\n errors = len(tr.stats.get('error', []))\n if errors + passes + fails + skips == 0:\n msg = 'No tests ran'\n elif passes and not (fails or errors):\n msg = 'Success - %i Passed' % passes\n elif not (skips or errors):\n msg = '%s Passed %s Failed' % (passes, fails)\n else:\n msg = '%s Passed %s Failed %s Errors %s Skipped' % (passes, fails,\n errors, skips)\n notify('py.test', msg)\n time.sleep(0.3)\n\n\ndef swizzle(cls, SEL, func):\n old_IMP = getattr(cls, SEL, None)\n if old_IMP is None:\n old_IMP = cls.instanceMethodForSelector_(SEL)\n\n def wrapper(self, *args, **kwargs):\n return func(self, old_IMP, *args, **kwargs)\n new_IMP = objc.selector(wrapper, selector=old_IMP.selector, signature=\n old_IMP.signature)\n objc.classAddMethod(cls, SEL.encode(), new_IMP)\n\n\ndef notify(title, subtitle=None):\n \"\"\"\n Display a NSUserNotification on Mac OS X >= 10.8\n\n \"\"\"\n global objc\n if not objc:\n objc = __import__('objc')\n swizzle(objc.lookUpClass('NSBundle'), 'bundleIdentifier',\n swizzled_bundleIdentifier)\n NSUserNotification = objc.lookUpClass('NSUserNotification')\n NSUserNotificationCenter = objc.lookUpClass('NSUserNotificationCenter')\n if not NSUserNotification or not NSUserNotificationCenter:\n print('NSUserNotifcation is not supported by your version of Mac OS X')\n return\n notification = NSUserNotification.alloc().init()\n notification.setTitle_(str(title))\n if subtitle:\n notification.setSubtitle_(str(subtitle))\n notification_center = (NSUserNotificationCenter.\n defaultUserNotificationCenter())\n notification_center.deliverNotification_(notification)\n\n\ndef swizzled_bundleIdentifier(self, original):\n \"\"\"\n Swizzle [NSBundle bundleIdentifier] to make NSUserNotifications work.\n\n To post NSUserNotifications OS X requires the binary to be packaged\n as an application bundle. To circumvent this restriction, we modify\n `bundleIdentifier` to return a fake bundle identifier.\n\n Original idea for this approach by Norio Numura:\n https://github.com/norio-nomura/usernotification\n\n \"\"\"\n return 'com.apple.terminal'\n", "<import token>\n<assignment token>\n\n\ndef pytest_addoption(parser):\n \"\"\"\n Adds options to control notifications.\n\n \"\"\"\n group = parser.getgroup('terminal reporting')\n group.addoption('--osxnotify', dest='osxnotify', default=True, help=\n 'Enable Mac OS X notification center notifications.')\n\n\ndef pytest_sessionstart(session):\n if session.config.option.osxnotify:\n notify('py.test', 'Running tests...')\n\n\ndef pytest_terminal_summary(terminalreporter):\n if not terminalreporter.config.option.osxnotify:\n return\n tr = terminalreporter\n passes = len(tr.stats.get('passed', []))\n fails = len(tr.stats.get('failed', []))\n skips = len(tr.stats.get('deselected', []))\n errors = len(tr.stats.get('error', []))\n if errors + passes + fails + skips == 0:\n msg = 'No tests ran'\n elif passes and not (fails or errors):\n msg = 'Success - %i Passed' % passes\n elif not (skips or errors):\n msg = '%s Passed %s Failed' % (passes, fails)\n else:\n msg = '%s Passed %s Failed %s Errors %s Skipped' % (passes, fails,\n errors, skips)\n notify('py.test', msg)\n time.sleep(0.3)\n\n\ndef swizzle(cls, SEL, func):\n old_IMP = getattr(cls, SEL, None)\n if old_IMP is None:\n old_IMP = cls.instanceMethodForSelector_(SEL)\n\n def wrapper(self, *args, **kwargs):\n return func(self, old_IMP, *args, **kwargs)\n new_IMP = objc.selector(wrapper, selector=old_IMP.selector, signature=\n old_IMP.signature)\n objc.classAddMethod(cls, SEL.encode(), new_IMP)\n\n\ndef notify(title, subtitle=None):\n \"\"\"\n Display a NSUserNotification on Mac OS X >= 10.8\n\n \"\"\"\n global objc\n if not objc:\n objc = __import__('objc')\n swizzle(objc.lookUpClass('NSBundle'), 'bundleIdentifier',\n swizzled_bundleIdentifier)\n NSUserNotification = objc.lookUpClass('NSUserNotification')\n NSUserNotificationCenter = objc.lookUpClass('NSUserNotificationCenter')\n if not NSUserNotification or not NSUserNotificationCenter:\n print('NSUserNotifcation is not supported by your version of Mac OS X')\n return\n notification = NSUserNotification.alloc().init()\n notification.setTitle_(str(title))\n if subtitle:\n notification.setSubtitle_(str(subtitle))\n notification_center = (NSUserNotificationCenter.\n defaultUserNotificationCenter())\n notification_center.deliverNotification_(notification)\n\n\ndef swizzled_bundleIdentifier(self, original):\n \"\"\"\n Swizzle [NSBundle bundleIdentifier] to make NSUserNotifications work.\n\n To post NSUserNotifications OS X requires the binary to be packaged\n as an application bundle. To circumvent this restriction, we modify\n `bundleIdentifier` to return a fake bundle identifier.\n\n Original idea for this approach by Norio Numura:\n https://github.com/norio-nomura/usernotification\n\n \"\"\"\n return 'com.apple.terminal'\n", "<import token>\n<assignment token>\n\n\ndef pytest_addoption(parser):\n \"\"\"\n Adds options to control notifications.\n\n \"\"\"\n group = parser.getgroup('terminal reporting')\n group.addoption('--osxnotify', dest='osxnotify', default=True, help=\n 'Enable Mac OS X notification center notifications.')\n\n\ndef pytest_sessionstart(session):\n if session.config.option.osxnotify:\n notify('py.test', 'Running tests...')\n\n\n<function token>\n\n\ndef swizzle(cls, SEL, func):\n old_IMP = getattr(cls, SEL, None)\n if old_IMP is None:\n old_IMP = cls.instanceMethodForSelector_(SEL)\n\n def wrapper(self, *args, **kwargs):\n return func(self, old_IMP, *args, **kwargs)\n new_IMP = objc.selector(wrapper, selector=old_IMP.selector, signature=\n old_IMP.signature)\n objc.classAddMethod(cls, SEL.encode(), new_IMP)\n\n\ndef notify(title, subtitle=None):\n \"\"\"\n Display a NSUserNotification on Mac OS X >= 10.8\n\n \"\"\"\n global objc\n if not objc:\n objc = __import__('objc')\n swizzle(objc.lookUpClass('NSBundle'), 'bundleIdentifier',\n swizzled_bundleIdentifier)\n NSUserNotification = objc.lookUpClass('NSUserNotification')\n NSUserNotificationCenter = objc.lookUpClass('NSUserNotificationCenter')\n if not NSUserNotification or not NSUserNotificationCenter:\n print('NSUserNotifcation is not supported by your version of Mac OS X')\n return\n notification = NSUserNotification.alloc().init()\n notification.setTitle_(str(title))\n if subtitle:\n notification.setSubtitle_(str(subtitle))\n notification_center = (NSUserNotificationCenter.\n defaultUserNotificationCenter())\n notification_center.deliverNotification_(notification)\n\n\ndef swizzled_bundleIdentifier(self, original):\n \"\"\"\n Swizzle [NSBundle bundleIdentifier] to make NSUserNotifications work.\n\n To post NSUserNotifications OS X requires the binary to be packaged\n as an application bundle. To circumvent this restriction, we modify\n `bundleIdentifier` to return a fake bundle identifier.\n\n Original idea for this approach by Norio Numura:\n https://github.com/norio-nomura/usernotification\n\n \"\"\"\n return 'com.apple.terminal'\n", "<import token>\n<assignment token>\n\n\ndef pytest_addoption(parser):\n \"\"\"\n Adds options to control notifications.\n\n \"\"\"\n group = parser.getgroup('terminal reporting')\n group.addoption('--osxnotify', dest='osxnotify', default=True, help=\n 'Enable Mac OS X notification center notifications.')\n\n\n<function token>\n<function token>\n\n\ndef swizzle(cls, SEL, func):\n old_IMP = getattr(cls, SEL, None)\n if old_IMP is None:\n old_IMP = cls.instanceMethodForSelector_(SEL)\n\n def wrapper(self, *args, **kwargs):\n return func(self, old_IMP, *args, **kwargs)\n new_IMP = objc.selector(wrapper, selector=old_IMP.selector, signature=\n old_IMP.signature)\n objc.classAddMethod(cls, SEL.encode(), new_IMP)\n\n\ndef notify(title, subtitle=None):\n \"\"\"\n Display a NSUserNotification on Mac OS X >= 10.8\n\n \"\"\"\n global objc\n if not objc:\n objc = __import__('objc')\n swizzle(objc.lookUpClass('NSBundle'), 'bundleIdentifier',\n swizzled_bundleIdentifier)\n NSUserNotification = objc.lookUpClass('NSUserNotification')\n NSUserNotificationCenter = objc.lookUpClass('NSUserNotificationCenter')\n if not NSUserNotification or not NSUserNotificationCenter:\n print('NSUserNotifcation is not supported by your version of Mac OS X')\n return\n notification = NSUserNotification.alloc().init()\n notification.setTitle_(str(title))\n if subtitle:\n notification.setSubtitle_(str(subtitle))\n notification_center = (NSUserNotificationCenter.\n defaultUserNotificationCenter())\n notification_center.deliverNotification_(notification)\n\n\ndef swizzled_bundleIdentifier(self, original):\n \"\"\"\n Swizzle [NSBundle bundleIdentifier] to make NSUserNotifications work.\n\n To post NSUserNotifications OS X requires the binary to be packaged\n as an application bundle. To circumvent this restriction, we modify\n `bundleIdentifier` to return a fake bundle identifier.\n\n Original idea for this approach by Norio Numura:\n https://github.com/norio-nomura/usernotification\n\n \"\"\"\n return 'com.apple.terminal'\n", "<import token>\n<assignment token>\n\n\ndef pytest_addoption(parser):\n \"\"\"\n Adds options to control notifications.\n\n \"\"\"\n group = parser.getgroup('terminal reporting')\n group.addoption('--osxnotify', dest='osxnotify', default=True, help=\n 'Enable Mac OS X notification center notifications.')\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef notify(title, subtitle=None):\n \"\"\"\n Display a NSUserNotification on Mac OS X >= 10.8\n\n \"\"\"\n global objc\n if not objc:\n objc = __import__('objc')\n swizzle(objc.lookUpClass('NSBundle'), 'bundleIdentifier',\n swizzled_bundleIdentifier)\n NSUserNotification = objc.lookUpClass('NSUserNotification')\n NSUserNotificationCenter = objc.lookUpClass('NSUserNotificationCenter')\n if not NSUserNotification or not NSUserNotificationCenter:\n print('NSUserNotifcation is not supported by your version of Mac OS X')\n return\n notification = NSUserNotification.alloc().init()\n notification.setTitle_(str(title))\n if subtitle:\n notification.setSubtitle_(str(subtitle))\n notification_center = (NSUserNotificationCenter.\n defaultUserNotificationCenter())\n notification_center.deliverNotification_(notification)\n\n\ndef swizzled_bundleIdentifier(self, original):\n \"\"\"\n Swizzle [NSBundle bundleIdentifier] to make NSUserNotifications work.\n\n To post NSUserNotifications OS X requires the binary to be packaged\n as an application bundle. To circumvent this restriction, we modify\n `bundleIdentifier` to return a fake bundle identifier.\n\n Original idea for this approach by Norio Numura:\n https://github.com/norio-nomura/usernotification\n\n \"\"\"\n return 'com.apple.terminal'\n", "<import token>\n<assignment token>\n\n\ndef pytest_addoption(parser):\n \"\"\"\n Adds options to control notifications.\n\n \"\"\"\n group = parser.getgroup('terminal reporting')\n group.addoption('--osxnotify', dest='osxnotify', default=True, help=\n 'Enable Mac OS X notification center notifications.')\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef swizzled_bundleIdentifier(self, original):\n \"\"\"\n Swizzle [NSBundle bundleIdentifier] to make NSUserNotifications work.\n\n To post NSUserNotifications OS X requires the binary to be packaged\n as an application bundle. To circumvent this restriction, we modify\n `bundleIdentifier` to return a fake bundle identifier.\n\n Original idea for this approach by Norio Numura:\n https://github.com/norio-nomura/usernotification\n\n \"\"\"\n return 'com.apple.terminal'\n", "<import token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef swizzled_bundleIdentifier(self, original):\n \"\"\"\n Swizzle [NSBundle bundleIdentifier] to make NSUserNotifications work.\n\n To post NSUserNotifications OS X requires the binary to be packaged\n as an application bundle. To circumvent this restriction, we modify\n `bundleIdentifier` to return a fake bundle identifier.\n\n Original idea for this approach by Norio Numura:\n https://github.com/norio-nomura/usernotification\n\n \"\"\"\n return 'com.apple.terminal'\n", "<import token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n" ]
false
98,606
9771eed454fdd8eeb87d89af890b636699a15b17
import cv2 import numpy as np from functools import wraps from dataclasses import dataclass, field def split_left_right(array, frame_width, frame_height): ''' helper func to distinguish lines marking left and right lanes ''' left_lines, right_lines = [], [] for _, item in enumerate(array): if (0 <= item[0, 0] <= 0.2 * frame_width) and \ (0 <= item[0, 2] <= 0.6 * frame_width): left_lines.append(item) elif (0.4 * frame_width <= item[0, 0] <= frame_width) and \ (0.6 * frame_width <= item[0, 2] <= frame_width): right_lines.append(item) return np.array(left_lines), np.array(right_lines) def get_laneangle(lane): ''' helper func to calc langeangle in degrees ''' x1, y1, x2, y2 = lane[0] m = (y2 - y1) / (x2 - x1) angle = np.arctan(m) return np.degrees(angle) def lane_detection(roi_shape="square"): ''' decorator to detect lanes in video frame ''' def inner_decorator(func): @wraps(func) def func_wrapper(*args, **kwargs): frame = func(*args, **kwargs) left_lane, right_lane = np.array([]), np.array([]) # TODO: detect ROI white = np.ones((288, 352, 1), dtype=np.uint8) * 255 if roi_shape == "square": roi = np.array([[0, frame.shape[0]//2], [frame.shape[1], frame.shape[0]//2], [frame.shape[1], frame.shape[0]], [0, frame.shape[0]]]) else: roi = np.array([[0, 288], [0, 230], [88, 130], [264, 130], [352, 230], [352, 288]]) stencil = cv2.fillConvexPoly(white, roi, 0) # TODO: to grayscale and tresholding frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) frame_binary = cv2.threshold(frame_gray, 80, 255, cv2.THRESH_BINARY)[1] roi_frame = cv2.add(frame_binary, stencil) # TODO: Hough line transformation lines = cv2.HoughLinesP(cv2.bitwise_not(roi_frame), 1, theta=np.pi/180, threshold=30, minLineLength=80, maxLineGap=50) # get lanes # if-clause b/c cv2.HoughLineP(...) returns None if nothing is detected if str(type(lines)) == "<class 'numpy.ndarray'>": left_lines, right_lines = split_left_right(lines, 352, 288) frame_lines = np.copy(frame) if left_lines.size != 0: for line in left_lines: x1, y1, x2, y2 = line[0] cv2.line(frame_lines, (x1, y1), (x2, y2), (0, 255, 0), 3) left_lane = np.mean(left_lines, axis=0, dtype=np.int32) x1, y1, x2, y2 = left_lane[0] cv2.line(frame_lines, (x1, y1), (x2, y2), (0, 0, 255), 6) if right_lines.size != 0: for line in right_lines: x1, y1, x2, y2 = line[0] cv2.line(frame_lines, (x1, y1), (x2, y2), (255, 0, 0), 3) right_lane = np.mean(right_lines, axis=0, dtype=np.int32) x1, y1, x2, y2 = right_lane[0] cv2.line(frame_lines, (x1, y1), (x2, y2), (0, 0, 255), 6) return frame, frame_lines, roi_frame, left_lane, right_lane return func_wrapper return inner_decorator @dataclass class Video: ''' Dataclass to manage video input with src = 0 -> webcam ''' src: int width: float height: float cap: object = field(init=False) def __post_init__(self): self.cap = cv2.VideoCapture(self.src) self.cap.set(3, self.width) self.cap.set(4, self.height) @lane_detection("square") def get_frame(self): ret, frame = self.cap.read() if ret: return frame if __name__ == "__main__": video = Video(0, 352, 288) while True: frame, frame_lines, roi_frame, left_lane, right_lane = video.get_frame() cv2.imshow("frame", frame) cv2.imshow("frame w/ lines", frame_lines) cv2.imshow("ROI frame", roi_frame) if cv2.waitKey(1) & 0xFF == ord('q'): break
[ "import cv2\nimport numpy as np\n\nfrom functools import wraps\nfrom dataclasses import dataclass, field\n\n\ndef split_left_right(array, frame_width, frame_height):\n ''' helper func to distinguish lines marking left and right lanes '''\n left_lines, right_lines = [], []\n\n for _, item in enumerate(array):\n if (0 <= item[0, 0] <= 0.2 * frame_width) and \\\n (0 <= item[0, 2] <= 0.6 * frame_width):\n left_lines.append(item)\n\n elif (0.4 * frame_width <= item[0, 0] <= frame_width) and \\\n (0.6 * frame_width <= item[0, 2] <= frame_width):\n right_lines.append(item)\n\n return np.array(left_lines), np.array(right_lines)\n\n\ndef get_laneangle(lane):\n ''' helper func to calc langeangle in degrees '''\n x1, y1, x2, y2 = lane[0]\n m = (y2 - y1) / (x2 - x1)\n angle = np.arctan(m)\n\n return np.degrees(angle)\n\n\ndef lane_detection(roi_shape=\"square\"):\n ''' decorator to detect lanes in video frame '''\n def inner_decorator(func):\n @wraps(func)\n def func_wrapper(*args, **kwargs):\n frame = func(*args, **kwargs)\n left_lane, right_lane = np.array([]), np.array([])\n\n # TODO: detect ROI\n white = np.ones((288, 352, 1), dtype=np.uint8) * 255\n\n if roi_shape == \"square\":\n roi = np.array([[0, frame.shape[0]//2], [frame.shape[1],\n frame.shape[0]//2], [frame.shape[1],\n frame.shape[0]], [0, frame.shape[0]]])\n else:\n roi = np.array([[0, 288], [0, 230], [88, 130], [264, 130],\n [352, 230], [352, 288]])\n\n stencil = cv2.fillConvexPoly(white, roi, 0)\n\n # TODO: to grayscale and tresholding\n frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n frame_binary = cv2.threshold(frame_gray, 80, 255, cv2.THRESH_BINARY)[1]\n roi_frame = cv2.add(frame_binary, stencil)\n\n # TODO: Hough line transformation\n lines = cv2.HoughLinesP(cv2.bitwise_not(roi_frame), 1, theta=np.pi/180,\n threshold=30, minLineLength=80, maxLineGap=50)\n\n # get lanes\n # if-clause b/c cv2.HoughLineP(...) returns None if nothing is detected\n if str(type(lines)) == \"<class 'numpy.ndarray'>\":\n left_lines, right_lines = split_left_right(lines, 352, 288)\n frame_lines = np.copy(frame)\n\n if left_lines.size != 0:\n for line in left_lines:\n x1, y1, x2, y2 = line[0]\n cv2.line(frame_lines, (x1, y1), (x2, y2), (0, 255, 0), 3)\n\n left_lane = np.mean(left_lines, axis=0, dtype=np.int32)\n x1, y1, x2, y2 = left_lane[0]\n cv2.line(frame_lines, (x1, y1), (x2, y2), (0, 0, 255), 6)\n\n if right_lines.size != 0:\n for line in right_lines:\n x1, y1, x2, y2 = line[0]\n cv2.line(frame_lines, (x1, y1), (x2, y2), (255, 0, 0), 3)\n\n right_lane = np.mean(right_lines, axis=0, dtype=np.int32)\n x1, y1, x2, y2 = right_lane[0]\n cv2.line(frame_lines, (x1, y1), (x2, y2), (0, 0, 255), 6)\n\n return frame, frame_lines, roi_frame, left_lane, right_lane\n\n return func_wrapper\n\n return inner_decorator\n\n\n@dataclass\nclass Video:\n '''\n Dataclass to manage video input with\n src = 0 -> webcam\n '''\n src: int\n width: float\n height: float\n cap: object = field(init=False)\n\n def __post_init__(self):\n self.cap = cv2.VideoCapture(self.src)\n self.cap.set(3, self.width)\n self.cap.set(4, self.height)\n\n @lane_detection(\"square\")\n def get_frame(self):\n ret, frame = self.cap.read()\n if ret:\n return frame\n\n\nif __name__ == \"__main__\":\n video = Video(0, 352, 288)\n\n while True:\n frame, frame_lines, roi_frame, left_lane, right_lane = video.get_frame()\n cv2.imshow(\"frame\", frame)\n cv2.imshow(\"frame w/ lines\", frame_lines)\n cv2.imshow(\"ROI frame\", roi_frame)\n\n if cv2.waitKey(1) & 0xFF == ord('q'):\n break\n", "import cv2\nimport numpy as np\nfrom functools import wraps\nfrom dataclasses import dataclass, field\n\n\ndef split_left_right(array, frame_width, frame_height):\n \"\"\" helper func to distinguish lines marking left and right lanes \"\"\"\n left_lines, right_lines = [], []\n for _, item in enumerate(array):\n if 0 <= item[0, 0] <= 0.2 * frame_width and 0 <= item[0, 2\n ] <= 0.6 * frame_width:\n left_lines.append(item)\n elif 0.4 * frame_width <= item[0, 0\n ] <= frame_width and 0.6 * frame_width <= item[0, 2\n ] <= frame_width:\n right_lines.append(item)\n return np.array(left_lines), np.array(right_lines)\n\n\ndef get_laneangle(lane):\n \"\"\" helper func to calc langeangle in degrees \"\"\"\n x1, y1, x2, y2 = lane[0]\n m = (y2 - y1) / (x2 - x1)\n angle = np.arctan(m)\n return np.degrees(angle)\n\n\ndef lane_detection(roi_shape='square'):\n \"\"\" decorator to detect lanes in video frame \"\"\"\n\n def inner_decorator(func):\n\n @wraps(func)\n def func_wrapper(*args, **kwargs):\n frame = func(*args, **kwargs)\n left_lane, right_lane = np.array([]), np.array([])\n white = np.ones((288, 352, 1), dtype=np.uint8) * 255\n if roi_shape == 'square':\n roi = np.array([[0, frame.shape[0] // 2], [frame.shape[1], \n frame.shape[0] // 2], [frame.shape[1], frame.shape[0]],\n [0, frame.shape[0]]])\n else:\n roi = np.array([[0, 288], [0, 230], [88, 130], [264, 130],\n [352, 230], [352, 288]])\n stencil = cv2.fillConvexPoly(white, roi, 0)\n frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n frame_binary = cv2.threshold(frame_gray, 80, 255, cv2.THRESH_BINARY\n )[1]\n roi_frame = cv2.add(frame_binary, stencil)\n lines = cv2.HoughLinesP(cv2.bitwise_not(roi_frame), 1, theta=np\n .pi / 180, threshold=30, minLineLength=80, maxLineGap=50)\n if str(type(lines)) == \"<class 'numpy.ndarray'>\":\n left_lines, right_lines = split_left_right(lines, 352, 288)\n frame_lines = np.copy(frame)\n if left_lines.size != 0:\n for line in left_lines:\n x1, y1, x2, y2 = line[0]\n cv2.line(frame_lines, (x1, y1), (x2, y2), (0, 255, \n 0), 3)\n left_lane = np.mean(left_lines, axis=0, dtype=np.int32)\n x1, y1, x2, y2 = left_lane[0]\n cv2.line(frame_lines, (x1, y1), (x2, y2), (0, 0, 255), 6)\n if right_lines.size != 0:\n for line in right_lines:\n x1, y1, x2, y2 = line[0]\n cv2.line(frame_lines, (x1, y1), (x2, y2), (255, 0, \n 0), 3)\n right_lane = np.mean(right_lines, axis=0, dtype=np.int32)\n x1, y1, x2, y2 = right_lane[0]\n cv2.line(frame_lines, (x1, y1), (x2, y2), (0, 0, 255), 6)\n return frame, frame_lines, roi_frame, left_lane, right_lane\n return func_wrapper\n return inner_decorator\n\n\n@dataclass\nclass Video:\n \"\"\"\n Dataclass to manage video input with\n src = 0 -> webcam\n \"\"\"\n src: int\n width: float\n height: float\n cap: object = field(init=False)\n\n def __post_init__(self):\n self.cap = cv2.VideoCapture(self.src)\n self.cap.set(3, self.width)\n self.cap.set(4, self.height)\n\n @lane_detection('square')\n def get_frame(self):\n ret, frame = self.cap.read()\n if ret:\n return frame\n\n\nif __name__ == '__main__':\n video = Video(0, 352, 288)\n while True:\n frame, frame_lines, roi_frame, left_lane, right_lane = video.get_frame(\n )\n cv2.imshow('frame', frame)\n cv2.imshow('frame w/ lines', frame_lines)\n cv2.imshow('ROI frame', roi_frame)\n if cv2.waitKey(1) & 255 == ord('q'):\n break\n", "<import token>\n\n\ndef split_left_right(array, frame_width, frame_height):\n \"\"\" helper func to distinguish lines marking left and right lanes \"\"\"\n left_lines, right_lines = [], []\n for _, item in enumerate(array):\n if 0 <= item[0, 0] <= 0.2 * frame_width and 0 <= item[0, 2\n ] <= 0.6 * frame_width:\n left_lines.append(item)\n elif 0.4 * frame_width <= item[0, 0\n ] <= frame_width and 0.6 * frame_width <= item[0, 2\n ] <= frame_width:\n right_lines.append(item)\n return np.array(left_lines), np.array(right_lines)\n\n\ndef get_laneangle(lane):\n \"\"\" helper func to calc langeangle in degrees \"\"\"\n x1, y1, x2, y2 = lane[0]\n m = (y2 - y1) / (x2 - x1)\n angle = np.arctan(m)\n return np.degrees(angle)\n\n\ndef lane_detection(roi_shape='square'):\n \"\"\" decorator to detect lanes in video frame \"\"\"\n\n def inner_decorator(func):\n\n @wraps(func)\n def func_wrapper(*args, **kwargs):\n frame = func(*args, **kwargs)\n left_lane, right_lane = np.array([]), np.array([])\n white = np.ones((288, 352, 1), dtype=np.uint8) * 255\n if roi_shape == 'square':\n roi = np.array([[0, frame.shape[0] // 2], [frame.shape[1], \n frame.shape[0] // 2], [frame.shape[1], frame.shape[0]],\n [0, frame.shape[0]]])\n else:\n roi = np.array([[0, 288], [0, 230], [88, 130], [264, 130],\n [352, 230], [352, 288]])\n stencil = cv2.fillConvexPoly(white, roi, 0)\n frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n frame_binary = cv2.threshold(frame_gray, 80, 255, cv2.THRESH_BINARY\n )[1]\n roi_frame = cv2.add(frame_binary, stencil)\n lines = cv2.HoughLinesP(cv2.bitwise_not(roi_frame), 1, theta=np\n .pi / 180, threshold=30, minLineLength=80, maxLineGap=50)\n if str(type(lines)) == \"<class 'numpy.ndarray'>\":\n left_lines, right_lines = split_left_right(lines, 352, 288)\n frame_lines = np.copy(frame)\n if left_lines.size != 0:\n for line in left_lines:\n x1, y1, x2, y2 = line[0]\n cv2.line(frame_lines, (x1, y1), (x2, y2), (0, 255, \n 0), 3)\n left_lane = np.mean(left_lines, axis=0, dtype=np.int32)\n x1, y1, x2, y2 = left_lane[0]\n cv2.line(frame_lines, (x1, y1), (x2, y2), (0, 0, 255), 6)\n if right_lines.size != 0:\n for line in right_lines:\n x1, y1, x2, y2 = line[0]\n cv2.line(frame_lines, (x1, y1), (x2, y2), (255, 0, \n 0), 3)\n right_lane = np.mean(right_lines, axis=0, dtype=np.int32)\n x1, y1, x2, y2 = right_lane[0]\n cv2.line(frame_lines, (x1, y1), (x2, y2), (0, 0, 255), 6)\n return frame, frame_lines, roi_frame, left_lane, right_lane\n return func_wrapper\n return inner_decorator\n\n\n@dataclass\nclass Video:\n \"\"\"\n Dataclass to manage video input with\n src = 0 -> webcam\n \"\"\"\n src: int\n width: float\n height: float\n cap: object = field(init=False)\n\n def __post_init__(self):\n self.cap = cv2.VideoCapture(self.src)\n self.cap.set(3, self.width)\n self.cap.set(4, self.height)\n\n @lane_detection('square')\n def get_frame(self):\n ret, frame = self.cap.read()\n if ret:\n return frame\n\n\nif __name__ == '__main__':\n video = Video(0, 352, 288)\n while True:\n frame, frame_lines, roi_frame, left_lane, right_lane = video.get_frame(\n )\n cv2.imshow('frame', frame)\n cv2.imshow('frame w/ lines', frame_lines)\n cv2.imshow('ROI frame', roi_frame)\n if cv2.waitKey(1) & 255 == ord('q'):\n break\n", "<import token>\n\n\ndef split_left_right(array, frame_width, frame_height):\n \"\"\" helper func to distinguish lines marking left and right lanes \"\"\"\n left_lines, right_lines = [], []\n for _, item in enumerate(array):\n if 0 <= item[0, 0] <= 0.2 * frame_width and 0 <= item[0, 2\n ] <= 0.6 * frame_width:\n left_lines.append(item)\n elif 0.4 * frame_width <= item[0, 0\n ] <= frame_width and 0.6 * frame_width <= item[0, 2\n ] <= frame_width:\n right_lines.append(item)\n return np.array(left_lines), np.array(right_lines)\n\n\ndef get_laneangle(lane):\n \"\"\" helper func to calc langeangle in degrees \"\"\"\n x1, y1, x2, y2 = lane[0]\n m = (y2 - y1) / (x2 - x1)\n angle = np.arctan(m)\n return np.degrees(angle)\n\n\ndef lane_detection(roi_shape='square'):\n \"\"\" decorator to detect lanes in video frame \"\"\"\n\n def inner_decorator(func):\n\n @wraps(func)\n def func_wrapper(*args, **kwargs):\n frame = func(*args, **kwargs)\n left_lane, right_lane = np.array([]), np.array([])\n white = np.ones((288, 352, 1), dtype=np.uint8) * 255\n if roi_shape == 'square':\n roi = np.array([[0, frame.shape[0] // 2], [frame.shape[1], \n frame.shape[0] // 2], [frame.shape[1], frame.shape[0]],\n [0, frame.shape[0]]])\n else:\n roi = np.array([[0, 288], [0, 230], [88, 130], [264, 130],\n [352, 230], [352, 288]])\n stencil = cv2.fillConvexPoly(white, roi, 0)\n frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n frame_binary = cv2.threshold(frame_gray, 80, 255, cv2.THRESH_BINARY\n )[1]\n roi_frame = cv2.add(frame_binary, stencil)\n lines = cv2.HoughLinesP(cv2.bitwise_not(roi_frame), 1, theta=np\n .pi / 180, threshold=30, minLineLength=80, maxLineGap=50)\n if str(type(lines)) == \"<class 'numpy.ndarray'>\":\n left_lines, right_lines = split_left_right(lines, 352, 288)\n frame_lines = np.copy(frame)\n if left_lines.size != 0:\n for line in left_lines:\n x1, y1, x2, y2 = line[0]\n cv2.line(frame_lines, (x1, y1), (x2, y2), (0, 255, \n 0), 3)\n left_lane = np.mean(left_lines, axis=0, dtype=np.int32)\n x1, y1, x2, y2 = left_lane[0]\n cv2.line(frame_lines, (x1, y1), (x2, y2), (0, 0, 255), 6)\n if right_lines.size != 0:\n for line in right_lines:\n x1, y1, x2, y2 = line[0]\n cv2.line(frame_lines, (x1, y1), (x2, y2), (255, 0, \n 0), 3)\n right_lane = np.mean(right_lines, axis=0, dtype=np.int32)\n x1, y1, x2, y2 = right_lane[0]\n cv2.line(frame_lines, (x1, y1), (x2, y2), (0, 0, 255), 6)\n return frame, frame_lines, roi_frame, left_lane, right_lane\n return func_wrapper\n return inner_decorator\n\n\n@dataclass\nclass Video:\n \"\"\"\n Dataclass to manage video input with\n src = 0 -> webcam\n \"\"\"\n src: int\n width: float\n height: float\n cap: object = field(init=False)\n\n def __post_init__(self):\n self.cap = cv2.VideoCapture(self.src)\n self.cap.set(3, self.width)\n self.cap.set(4, self.height)\n\n @lane_detection('square')\n def get_frame(self):\n ret, frame = self.cap.read()\n if ret:\n return frame\n\n\n<code token>\n", "<import token>\n<function token>\n\n\ndef get_laneangle(lane):\n \"\"\" helper func to calc langeangle in degrees \"\"\"\n x1, y1, x2, y2 = lane[0]\n m = (y2 - y1) / (x2 - x1)\n angle = np.arctan(m)\n return np.degrees(angle)\n\n\ndef lane_detection(roi_shape='square'):\n \"\"\" decorator to detect lanes in video frame \"\"\"\n\n def inner_decorator(func):\n\n @wraps(func)\n def func_wrapper(*args, **kwargs):\n frame = func(*args, **kwargs)\n left_lane, right_lane = np.array([]), np.array([])\n white = np.ones((288, 352, 1), dtype=np.uint8) * 255\n if roi_shape == 'square':\n roi = np.array([[0, frame.shape[0] // 2], [frame.shape[1], \n frame.shape[0] // 2], [frame.shape[1], frame.shape[0]],\n [0, frame.shape[0]]])\n else:\n roi = np.array([[0, 288], [0, 230], [88, 130], [264, 130],\n [352, 230], [352, 288]])\n stencil = cv2.fillConvexPoly(white, roi, 0)\n frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n frame_binary = cv2.threshold(frame_gray, 80, 255, cv2.THRESH_BINARY\n )[1]\n roi_frame = cv2.add(frame_binary, stencil)\n lines = cv2.HoughLinesP(cv2.bitwise_not(roi_frame), 1, theta=np\n .pi / 180, threshold=30, minLineLength=80, maxLineGap=50)\n if str(type(lines)) == \"<class 'numpy.ndarray'>\":\n left_lines, right_lines = split_left_right(lines, 352, 288)\n frame_lines = np.copy(frame)\n if left_lines.size != 0:\n for line in left_lines:\n x1, y1, x2, y2 = line[0]\n cv2.line(frame_lines, (x1, y1), (x2, y2), (0, 255, \n 0), 3)\n left_lane = np.mean(left_lines, axis=0, dtype=np.int32)\n x1, y1, x2, y2 = left_lane[0]\n cv2.line(frame_lines, (x1, y1), (x2, y2), (0, 0, 255), 6)\n if right_lines.size != 0:\n for line in right_lines:\n x1, y1, x2, y2 = line[0]\n cv2.line(frame_lines, (x1, y1), (x2, y2), (255, 0, \n 0), 3)\n right_lane = np.mean(right_lines, axis=0, dtype=np.int32)\n x1, y1, x2, y2 = right_lane[0]\n cv2.line(frame_lines, (x1, y1), (x2, y2), (0, 0, 255), 6)\n return frame, frame_lines, roi_frame, left_lane, right_lane\n return func_wrapper\n return inner_decorator\n\n\n@dataclass\nclass Video:\n \"\"\"\n Dataclass to manage video input with\n src = 0 -> webcam\n \"\"\"\n src: int\n width: float\n height: float\n cap: object = field(init=False)\n\n def __post_init__(self):\n self.cap = cv2.VideoCapture(self.src)\n self.cap.set(3, self.width)\n self.cap.set(4, self.height)\n\n @lane_detection('square')\n def get_frame(self):\n ret, frame = self.cap.read()\n if ret:\n return frame\n\n\n<code token>\n", "<import token>\n<function token>\n\n\ndef get_laneangle(lane):\n \"\"\" helper func to calc langeangle in degrees \"\"\"\n x1, y1, x2, y2 = lane[0]\n m = (y2 - y1) / (x2 - x1)\n angle = np.arctan(m)\n return np.degrees(angle)\n\n\n<function token>\n\n\n@dataclass\nclass Video:\n \"\"\"\n Dataclass to manage video input with\n src = 0 -> webcam\n \"\"\"\n src: int\n width: float\n height: float\n cap: object = field(init=False)\n\n def __post_init__(self):\n self.cap = cv2.VideoCapture(self.src)\n self.cap.set(3, self.width)\n self.cap.set(4, self.height)\n\n @lane_detection('square')\n def get_frame(self):\n ret, frame = self.cap.read()\n if ret:\n return frame\n\n\n<code token>\n", "<import token>\n<function token>\n<function token>\n<function token>\n\n\n@dataclass\nclass Video:\n \"\"\"\n Dataclass to manage video input with\n src = 0 -> webcam\n \"\"\"\n src: int\n width: float\n height: float\n cap: object = field(init=False)\n\n def __post_init__(self):\n self.cap = cv2.VideoCapture(self.src)\n self.cap.set(3, self.width)\n self.cap.set(4, self.height)\n\n @lane_detection('square')\n def get_frame(self):\n ret, frame = self.cap.read()\n if ret:\n return frame\n\n\n<code token>\n", "<import token>\n<function token>\n<function token>\n<function token>\n\n\n@dataclass\nclass Video:\n <docstring token>\n src: int\n width: float\n height: float\n cap: object = field(init=False)\n\n def __post_init__(self):\n self.cap = cv2.VideoCapture(self.src)\n self.cap.set(3, self.width)\n self.cap.set(4, self.height)\n\n @lane_detection('square')\n def get_frame(self):\n ret, frame = self.cap.read()\n if ret:\n return frame\n\n\n<code token>\n", "<import token>\n<function token>\n<function token>\n<function token>\n\n\n@dataclass\nclass Video:\n <docstring token>\n src: int\n width: float\n height: float\n cap: object = field(init=False)\n <function token>\n\n @lane_detection('square')\n def get_frame(self):\n ret, frame = self.cap.read()\n if ret:\n return frame\n\n\n<code token>\n", "<import token>\n<function token>\n<function token>\n<function token>\n\n\n@dataclass\nclass Video:\n <docstring token>\n src: int\n width: float\n height: float\n cap: object = field(init=False)\n <function token>\n <function token>\n\n\n<code token>\n", "<import token>\n<function token>\n<function token>\n<function token>\n<class token>\n<code token>\n" ]
false
98,607
ea6c880eb305428b1eefd905dedf1f9cb575bf4d
from flask_restx import Resource, fields from flask import request import flask import os from flask import request from flask import send_file import requests import io import os import json import uuid from main.booking import ns roomInfo = [ { "floor": 1, "rooms" : [ {"id": 1, "name" : "A"}, {"id": 2, "name" : "B"}, {"id": 3, "name" : "C"}, {"id": 4, "name" : "D"}, {"id": 5, "name" : "E"} ] }, { "floor": 2, "rooms" : [ {"id": 1, "name" : "A"}, {"id": 2, "name" : "B"}, {"id": 3, "name" : "C"}, {"id": 4, "name" : "D"}, {"id": 5, "name" : "E"} ] }, { "floor": 3, "rooms" : [ {"id": 1, "name" : "A"}, {"id": 2, "name" : "B"}, {"id": 3, "name" : "C"}, {"id": 4, "name" : "D"}, {"id": 5, "name" : "E"} ] }, { "floor": 4, "rooms" : [ {"id": 1, "name" : "A"}, {"id": 2, "name" : "B"}, {"id": 3, "name" : "C"}, {"id": 4, "name" : "D"}, {"id": 5, "name" : "E"} ] }, ] roomStatus = [ {"id" : 1, "status" : "Available", "color": "Green"}, {"id" : 2, "status" : "Occupied", "color": "Red"}, {"id" : 3, "status" : "Vacant", "color": "Orange"}, {"id" : 4, "status" : "Repair", "color": "Gray"} ] # Above Master JSONs roomInfo and roomStatus can also be stored in any databases or External Data soruces, # For ease of view i have placed here roomUpdates = [] # For this program i am updating all the values in local array. We can also do CRUD operations in database. Please # maintain the server running during all testing cycles. If server restarted all the testing operations needs to be done # from start @ns.route('/checkin/<int:floor>/<int:room>', methods=['POST']) class Checkin(Resource): # @ns.marshal_with(booking, envelope='booking') def post(self, floor,room): try: if(any(int(x["floor"]) == int(floor) and int(x["room"]) == int(room) for x in roomUpdates)): return { 'statusCode': 200, 'desc': "Room not Available", 'bookingStatus': 0 } else: if(len([x for i,x in enumerate(roomInfo) if int(x["floor"]) == int(floor)]) and int(room) <= 5): roomUpdates.append({"id": uuid.uuid4(), "floor": int(floor), "room": int(room), "status": 2}) return { 'statusCode': 200, 'desc': "Occupied = Floor : " + str(floor) + ", Room : " + str(room), 'bookingStatus': 1 } else: return { 'statusCode': 200, 'desc': "Invalid Floor and Room Number", 'bookingStatus': 2 } except ValueError: return { 'statusCode': 500, 'desc': "Error in Checkin. Pleaes try again after some time...", 'bookingStatus': -1 } @ns.route('/checkout/<int:floor>/<int:room>', methods=['POST']) class Checkout(Resource): # @ns.marshal_with(booking, envelope='booking') def post(self, floor,room): try: if(any(x["floor"] == floor and x["room"] == room and x["status"] == 2 for x in roomUpdates)): indexes = [i for i,x in enumerate(roomUpdates) if x["floor"] == floor and x["room"] == room] del roomUpdates[indexes[0]] roomUpdates.append({"floor": int(floor), "room": int(room), "status": 3}) return { 'statusCode': 200, 'desc': "Vacant", 'bookingStatus': 1 } else: return { 'statusCode': 200, 'desc': "Cannot checkout. Because Room is not occupied", 'bookingStatus': 0 } except ValueError: return { 'statusCode': 500, 'desc': "Error in Checkin. Pleaes try again after some time...", 'bookingStatus': -1 } @ns.route('/cleaned/<int:floor>/<int:room>', methods=['POST']) class Cleaned(Resource): # @ns.marshal_with(booking, envelope='booking') def post(self, floor,room): try: if(any(x["floor"] == floor and x["room"] == room and x["status"] == 3 for x in roomUpdates)): indexes = [i for i,x in enumerate(roomUpdates) if x["floor"] == floor and x["room"] == room] del roomUpdates[indexes[0]] return { 'statusCode': 200, 'desc': "Available", 'bookingStatus': 1 } else: return { 'statusCode': 200, 'desc': "Cannot clean. Because Room is not vacant", 'bookingStatus': 1 } except ValueError: return { 'statusCode': 500, 'desc': "Error in Checkin. Pleaes try again after some time...", 'bookingStatus': -1 } @ns.route('/mark-repair/<int:floor>/<int:room>', methods=['POST']) class Markrepair(Resource): # @ns.marshal_with(booking, envelope='booking') def post(self, floor,room): try: if(any(x["floor"] == floor and x["room"] == room and x["status"] == 3 for x in roomUpdates)): indexes = [i for i,x in enumerate(roomUpdates) if x["floor"] == floor and x["room"] == room] del roomUpdates[indexes[0]] roomUpdates.append({"floor": int(floor), "room": int(room), "status": 4}) return { 'statusCode': 200, 'desc': "Taken for Repair", 'bookingStatus': 1 } else: return { 'statusCode': 200, 'desc': "Cannot take for repair. Because Room is not vacant", 'bookingStatus': 1 } except ValueError: return { 'statusCode': 500, 'desc': "Error in Checkin. Pleaes try again after some time...", 'bookingStatus': -1 } @ns.route('/completed-repair/<int:floor>/<int:room>', methods=['POST']) class Completedrepair(Resource): # @ns.marshal_with(booking, envelope='booking') def post(self, floor,room): try: if(any(x["floor"] == floor and x["room"] == room and x["status"] == 4 for x in roomUpdates)): indexes = [i for i,x in enumerate(roomUpdates) if x["floor"] == floor and x["room"] == room] del roomUpdates[indexes[0]] roomUpdates.append({"floor": int(floor), "room": int(room) ,"status": 3}) return { 'statusCode': 200, 'desc': "Repair Completed", 'bookingStatus': 1 } else: return { 'statusCode': 200, 'desc': "Cannot mark repair completed. Because Room is not taken for repair", 'bookingStatus': 1 } except ValueError: return { 'statusCode': 500, 'desc': "Error in Checkin. Pleaes try again after some time...", 'bookingStatus': -1 } @ns.route('/available/', methods=['GET']) class RoomsAvailable(Resource): # @ns.marshal_with(booking, envelope='booking') def get(self): try: availabile = [] for idxFloor,floor in enumerate(roomInfo): for idxRoom,room in enumerate(floor["rooms"]): if(any(int(x["floor"]) == floor["floor"] and int(x["room"]) == room["id"] for x in roomUpdates) == False): availabile.append(str(floor["floor"]) + "-" + str(room["id"])) if(idxFloor == len(roomInfo) - 1 and idxRoom == len(floor["rooms"]) - 1): response = dict(); response['availabile'] = availabile return { 'statusCode': 200, 'desc': "Available Rooms", 'response': response } except ValueError: return { 'statusCode': 500, 'desc': "Error in Checkin. Pleaes try again after some time...", 'bookingStatus': -1 }
[ "from flask_restx import Resource, fields\nfrom flask import request\n\nimport flask\nimport os\nfrom flask import request\nfrom flask import send_file\nimport requests\nimport io\nimport os\nimport json\nimport uuid\n\nfrom main.booking import ns\n\n\nroomInfo = [\n {\n \"floor\": 1,\n \"rooms\" : [\n {\"id\": 1, \"name\" : \"A\"},\n {\"id\": 2, \"name\" : \"B\"},\n {\"id\": 3, \"name\" : \"C\"},\n {\"id\": 4, \"name\" : \"D\"},\n {\"id\": 5, \"name\" : \"E\"}\n ]\n },\n {\n \"floor\": 2,\n \"rooms\" : [\n {\"id\": 1, \"name\" : \"A\"},\n {\"id\": 2, \"name\" : \"B\"},\n {\"id\": 3, \"name\" : \"C\"},\n {\"id\": 4, \"name\" : \"D\"},\n {\"id\": 5, \"name\" : \"E\"}\n ]\n },\n {\n \"floor\": 3,\n \"rooms\" : [\n {\"id\": 1, \"name\" : \"A\"},\n {\"id\": 2, \"name\" : \"B\"},\n {\"id\": 3, \"name\" : \"C\"},\n {\"id\": 4, \"name\" : \"D\"},\n {\"id\": 5, \"name\" : \"E\"}\n ]\n },\n {\n \"floor\": 4,\n \"rooms\" : [\n {\"id\": 1, \"name\" : \"A\"},\n {\"id\": 2, \"name\" : \"B\"},\n {\"id\": 3, \"name\" : \"C\"},\n {\"id\": 4, \"name\" : \"D\"},\n {\"id\": 5, \"name\" : \"E\"}\n ]\n },\n]\n\n\n\nroomStatus = [\n {\"id\" : 1, \"status\" : \"Available\", \"color\": \"Green\"},\n {\"id\" : 2, \"status\" : \"Occupied\", \"color\": \"Red\"},\n {\"id\" : 3, \"status\" : \"Vacant\", \"color\": \"Orange\"},\n {\"id\" : 4, \"status\" : \"Repair\", \"color\": \"Gray\"}\n]\n\n\n# Above Master JSONs roomInfo and roomStatus can also be stored in any databases or External Data soruces,\n# For ease of view i have placed here\n\nroomUpdates = []\n\n# For this program i am updating all the values in local array. We can also do CRUD operations in database. Please\n# maintain the server running during all testing cycles. If server restarted all the testing operations needs to be done\n# from start\n\n\[email protected]('/checkin/<int:floor>/<int:room>', methods=['POST'])\nclass Checkin(Resource):\n # @ns.marshal_with(booking, envelope='booking')\n def post(self, floor,room):\n try:\n if(any(int(x[\"floor\"]) == int(floor) and int(x[\"room\"]) == int(room) for x in roomUpdates)):\n return {\n 'statusCode': 200,\n 'desc': \"Room not Available\",\n 'bookingStatus': 0\n }\n else:\n if(len([x for i,x in enumerate(roomInfo) if int(x[\"floor\"]) == int(floor)]) and int(room) <= 5):\n roomUpdates.append({\"id\": uuid.uuid4(), \"floor\": int(floor), \"room\": int(room), \"status\": 2})\n return {\n 'statusCode': 200,\n 'desc': \"Occupied = Floor : \" + str(floor) + \", Room : \" + str(room),\n 'bookingStatus': 1\n }\n else:\n return {\n 'statusCode': 200,\n 'desc': \"Invalid Floor and Room Number\",\n 'bookingStatus': 2\n }\n except ValueError:\n return {\n 'statusCode': 500,\n 'desc': \"Error in Checkin. Pleaes try again after some time...\",\n 'bookingStatus': -1\n }\n\n\n\n\n\[email protected]('/checkout/<int:floor>/<int:room>', methods=['POST'])\nclass Checkout(Resource):\n # @ns.marshal_with(booking, envelope='booking')\n def post(self, floor,room):\n try:\n if(any(x[\"floor\"] == floor and x[\"room\"] == room and x[\"status\"] == 2 for x in roomUpdates)):\n indexes = [i for i,x in enumerate(roomUpdates) if x[\"floor\"] == floor and x[\"room\"] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({\"floor\": int(floor), \"room\": int(room), \"status\": 3})\n return {\n 'statusCode': 200,\n 'desc': \"Vacant\",\n 'bookingStatus': 1\n }\n else:\n return {\n 'statusCode': 200,\n 'desc': \"Cannot checkout. Because Room is not occupied\",\n 'bookingStatus': 0\n }\n except ValueError:\n return {\n 'statusCode': 500,\n 'desc': \"Error in Checkin. Pleaes try again after some time...\",\n 'bookingStatus': -1\n }\n\n\[email protected]('/cleaned/<int:floor>/<int:room>', methods=['POST'])\nclass Cleaned(Resource):\n # @ns.marshal_with(booking, envelope='booking')\n def post(self, floor,room):\n try:\n if(any(x[\"floor\"] == floor and x[\"room\"] == room and x[\"status\"] == 3 for x in roomUpdates)):\n indexes = [i for i,x in enumerate(roomUpdates) if x[\"floor\"] == floor and x[\"room\"] == room]\n del roomUpdates[indexes[0]]\n return {\n 'statusCode': 200,\n 'desc': \"Available\",\n 'bookingStatus': 1\n }\n else:\n return {\n 'statusCode': 200,\n 'desc': \"Cannot clean. Because Room is not vacant\",\n 'bookingStatus': 1\n }\n except ValueError:\n return {\n 'statusCode': 500,\n 'desc': \"Error in Checkin. Pleaes try again after some time...\",\n 'bookingStatus': -1\n }\n\n\[email protected]('/mark-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Markrepair(Resource):\n # @ns.marshal_with(booking, envelope='booking')\n def post(self, floor,room):\n try:\n if(any(x[\"floor\"] == floor and x[\"room\"] == room and x[\"status\"] == 3 for x in roomUpdates)):\n indexes = [i for i,x in enumerate(roomUpdates) if x[\"floor\"] == floor and x[\"room\"] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({\"floor\": int(floor), \"room\": int(room), \"status\": 4})\n return {\n 'statusCode': 200,\n 'desc': \"Taken for Repair\",\n 'bookingStatus': 1\n }\n else:\n return {\n 'statusCode': 200,\n 'desc': \"Cannot take for repair. Because Room is not vacant\",\n 'bookingStatus': 1\n }\n except ValueError:\n return {\n 'statusCode': 500,\n 'desc': \"Error in Checkin. Pleaes try again after some time...\",\n 'bookingStatus': -1\n }\n\[email protected]('/completed-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Completedrepair(Resource):\n # @ns.marshal_with(booking, envelope='booking')\n def post(self, floor,room):\n try:\n if(any(x[\"floor\"] == floor and x[\"room\"] == room and x[\"status\"] == 4 for x in roomUpdates)):\n indexes = [i for i,x in enumerate(roomUpdates) if x[\"floor\"] == floor and x[\"room\"] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({\"floor\": int(floor), \"room\": int(room) ,\"status\": 3})\n return {\n 'statusCode': 200,\n 'desc': \"Repair Completed\",\n 'bookingStatus': 1\n }\n else:\n return {\n 'statusCode': 200,\n 'desc': \"Cannot mark repair completed. Because Room is not taken for repair\",\n 'bookingStatus': 1\n }\n except ValueError:\n return {\n 'statusCode': 500,\n 'desc': \"Error in Checkin. Pleaes try again after some time...\",\n 'bookingStatus': -1\n }\n\n\n\[email protected]('/available/', methods=['GET'])\nclass RoomsAvailable(Resource):\n # @ns.marshal_with(booking, envelope='booking')\n def get(self):\n try:\n availabile = []\n for idxFloor,floor in enumerate(roomInfo):\n for idxRoom,room in enumerate(floor[\"rooms\"]):\n if(any(int(x[\"floor\"]) == floor[\"floor\"] and int(x[\"room\"]) == room[\"id\"] for x in roomUpdates) == False):\n availabile.append(str(floor[\"floor\"]) + \"-\" + str(room[\"id\"]))\n if(idxFloor == len(roomInfo) - 1 and idxRoom == len(floor[\"rooms\"]) - 1):\n response = dict();\n response['availabile'] = availabile\n return {\n 'statusCode': 200,\n 'desc': \"Available Rooms\",\n 'response': response\n }\n except ValueError:\n return {\n 'statusCode': 500,\n 'desc': \"Error in Checkin. Pleaes try again after some time...\",\n 'bookingStatus': -1\n }\n", "from flask_restx import Resource, fields\nfrom flask import request\nimport flask\nimport os\nfrom flask import request\nfrom flask import send_file\nimport requests\nimport io\nimport os\nimport json\nimport uuid\nfrom main.booking import ns\nroomInfo = [{'floor': 1, 'rooms': [{'id': 1, 'name': 'A'}, {'id': 2, 'name':\n 'B'}, {'id': 3, 'name': 'C'}, {'id': 4, 'name': 'D'}, {'id': 5, 'name':\n 'E'}]}, {'floor': 2, 'rooms': [{'id': 1, 'name': 'A'}, {'id': 2, 'name':\n 'B'}, {'id': 3, 'name': 'C'}, {'id': 4, 'name': 'D'}, {'id': 5, 'name':\n 'E'}]}, {'floor': 3, 'rooms': [{'id': 1, 'name': 'A'}, {'id': 2, 'name':\n 'B'}, {'id': 3, 'name': 'C'}, {'id': 4, 'name': 'D'}, {'id': 5, 'name':\n 'E'}]}, {'floor': 4, 'rooms': [{'id': 1, 'name': 'A'}, {'id': 2, 'name':\n 'B'}, {'id': 3, 'name': 'C'}, {'id': 4, 'name': 'D'}, {'id': 5, 'name':\n 'E'}]}]\nroomStatus = [{'id': 1, 'status': 'Available', 'color': 'Green'}, {'id': 2,\n 'status': 'Occupied', 'color': 'Red'}, {'id': 3, 'status': 'Vacant',\n 'color': 'Orange'}, {'id': 4, 'status': 'Repair', 'color': 'Gray'}]\nroomUpdates = []\n\n\[email protected]('/checkin/<int:floor>/<int:room>', methods=['POST'])\nclass Checkin(Resource):\n\n def post(self, floor, room):\n try:\n if any(int(x['floor']) == int(floor) and int(x['room']) == int(\n room) for x in roomUpdates):\n return {'statusCode': 200, 'desc': 'Room not Available',\n 'bookingStatus': 0}\n elif len([x for i, x in enumerate(roomInfo) if int(x['floor']) ==\n int(floor)]) and int(room) <= 5:\n roomUpdates.append({'id': uuid.uuid4(), 'floor': int(floor),\n 'room': int(room), 'status': 2})\n return {'statusCode': 200, 'desc': 'Occupied = Floor : ' +\n str(floor) + ', Room : ' + str(room), 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Invalid Floor and Room Number', 'bookingStatus': 2}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/checkout/<int:floor>/<int:room>', methods=['POST'])\nclass Checkout(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 2 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 3})\n return {'statusCode': 200, 'desc': 'Vacant', 'bookingStatus': 1\n }\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot checkout. Because Room is not occupied',\n 'bookingStatus': 0}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/cleaned/<int:floor>/<int:room>', methods=['POST'])\nclass Cleaned(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 3 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n return {'statusCode': 200, 'desc': 'Available',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot clean. Because Room is not vacant',\n 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/mark-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Markrepair(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 3 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 4})\n return {'statusCode': 200, 'desc': 'Taken for Repair',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot take for repair. Because Room is not vacant',\n 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/completed-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Completedrepair(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 4 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 3})\n return {'statusCode': 200, 'desc': 'Repair Completed',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot mark repair completed. Because Room is not taken for repair'\n , 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/available/', methods=['GET'])\nclass RoomsAvailable(Resource):\n\n def get(self):\n try:\n availabile = []\n for idxFloor, floor in enumerate(roomInfo):\n for idxRoom, room in enumerate(floor['rooms']):\n if any(int(x['floor']) == floor['floor'] and int(x[\n 'room']) == room['id'] for x in roomUpdates) == False:\n availabile.append(str(floor['floor']) + '-' + str(\n room['id']))\n if idxFloor == len(roomInfo) - 1 and idxRoom == len(floor\n ['rooms']) - 1:\n response = dict()\n response['availabile'] = availabile\n return {'statusCode': 200, 'desc':\n 'Available Rooms', 'response': response}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n", "<import token>\nroomInfo = [{'floor': 1, 'rooms': [{'id': 1, 'name': 'A'}, {'id': 2, 'name':\n 'B'}, {'id': 3, 'name': 'C'}, {'id': 4, 'name': 'D'}, {'id': 5, 'name':\n 'E'}]}, {'floor': 2, 'rooms': [{'id': 1, 'name': 'A'}, {'id': 2, 'name':\n 'B'}, {'id': 3, 'name': 'C'}, {'id': 4, 'name': 'D'}, {'id': 5, 'name':\n 'E'}]}, {'floor': 3, 'rooms': [{'id': 1, 'name': 'A'}, {'id': 2, 'name':\n 'B'}, {'id': 3, 'name': 'C'}, {'id': 4, 'name': 'D'}, {'id': 5, 'name':\n 'E'}]}, {'floor': 4, 'rooms': [{'id': 1, 'name': 'A'}, {'id': 2, 'name':\n 'B'}, {'id': 3, 'name': 'C'}, {'id': 4, 'name': 'D'}, {'id': 5, 'name':\n 'E'}]}]\nroomStatus = [{'id': 1, 'status': 'Available', 'color': 'Green'}, {'id': 2,\n 'status': 'Occupied', 'color': 'Red'}, {'id': 3, 'status': 'Vacant',\n 'color': 'Orange'}, {'id': 4, 'status': 'Repair', 'color': 'Gray'}]\nroomUpdates = []\n\n\[email protected]('/checkin/<int:floor>/<int:room>', methods=['POST'])\nclass Checkin(Resource):\n\n def post(self, floor, room):\n try:\n if any(int(x['floor']) == int(floor) and int(x['room']) == int(\n room) for x in roomUpdates):\n return {'statusCode': 200, 'desc': 'Room not Available',\n 'bookingStatus': 0}\n elif len([x for i, x in enumerate(roomInfo) if int(x['floor']) ==\n int(floor)]) and int(room) <= 5:\n roomUpdates.append({'id': uuid.uuid4(), 'floor': int(floor),\n 'room': int(room), 'status': 2})\n return {'statusCode': 200, 'desc': 'Occupied = Floor : ' +\n str(floor) + ', Room : ' + str(room), 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Invalid Floor and Room Number', 'bookingStatus': 2}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/checkout/<int:floor>/<int:room>', methods=['POST'])\nclass Checkout(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 2 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 3})\n return {'statusCode': 200, 'desc': 'Vacant', 'bookingStatus': 1\n }\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot checkout. Because Room is not occupied',\n 'bookingStatus': 0}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/cleaned/<int:floor>/<int:room>', methods=['POST'])\nclass Cleaned(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 3 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n return {'statusCode': 200, 'desc': 'Available',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot clean. Because Room is not vacant',\n 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/mark-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Markrepair(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 3 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 4})\n return {'statusCode': 200, 'desc': 'Taken for Repair',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot take for repair. Because Room is not vacant',\n 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/completed-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Completedrepair(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 4 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 3})\n return {'statusCode': 200, 'desc': 'Repair Completed',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot mark repair completed. Because Room is not taken for repair'\n , 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/available/', methods=['GET'])\nclass RoomsAvailable(Resource):\n\n def get(self):\n try:\n availabile = []\n for idxFloor, floor in enumerate(roomInfo):\n for idxRoom, room in enumerate(floor['rooms']):\n if any(int(x['floor']) == floor['floor'] and int(x[\n 'room']) == room['id'] for x in roomUpdates) == False:\n availabile.append(str(floor['floor']) + '-' + str(\n room['id']))\n if idxFloor == len(roomInfo) - 1 and idxRoom == len(floor\n ['rooms']) - 1:\n response = dict()\n response['availabile'] = availabile\n return {'statusCode': 200, 'desc':\n 'Available Rooms', 'response': response}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n", "<import token>\n<assignment token>\n\n\[email protected]('/checkin/<int:floor>/<int:room>', methods=['POST'])\nclass Checkin(Resource):\n\n def post(self, floor, room):\n try:\n if any(int(x['floor']) == int(floor) and int(x['room']) == int(\n room) for x in roomUpdates):\n return {'statusCode': 200, 'desc': 'Room not Available',\n 'bookingStatus': 0}\n elif len([x for i, x in enumerate(roomInfo) if int(x['floor']) ==\n int(floor)]) and int(room) <= 5:\n roomUpdates.append({'id': uuid.uuid4(), 'floor': int(floor),\n 'room': int(room), 'status': 2})\n return {'statusCode': 200, 'desc': 'Occupied = Floor : ' +\n str(floor) + ', Room : ' + str(room), 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Invalid Floor and Room Number', 'bookingStatus': 2}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/checkout/<int:floor>/<int:room>', methods=['POST'])\nclass Checkout(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 2 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 3})\n return {'statusCode': 200, 'desc': 'Vacant', 'bookingStatus': 1\n }\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot checkout. Because Room is not occupied',\n 'bookingStatus': 0}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/cleaned/<int:floor>/<int:room>', methods=['POST'])\nclass Cleaned(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 3 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n return {'statusCode': 200, 'desc': 'Available',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot clean. Because Room is not vacant',\n 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/mark-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Markrepair(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 3 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 4})\n return {'statusCode': 200, 'desc': 'Taken for Repair',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot take for repair. Because Room is not vacant',\n 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/completed-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Completedrepair(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 4 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 3})\n return {'statusCode': 200, 'desc': 'Repair Completed',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot mark repair completed. Because Room is not taken for repair'\n , 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/available/', methods=['GET'])\nclass RoomsAvailable(Resource):\n\n def get(self):\n try:\n availabile = []\n for idxFloor, floor in enumerate(roomInfo):\n for idxRoom, room in enumerate(floor['rooms']):\n if any(int(x['floor']) == floor['floor'] and int(x[\n 'room']) == room['id'] for x in roomUpdates) == False:\n availabile.append(str(floor['floor']) + '-' + str(\n room['id']))\n if idxFloor == len(roomInfo) - 1 and idxRoom == len(floor\n ['rooms']) - 1:\n response = dict()\n response['availabile'] = availabile\n return {'statusCode': 200, 'desc':\n 'Available Rooms', 'response': response}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n", "<import token>\n<assignment token>\n\n\[email protected]('/checkin/<int:floor>/<int:room>', methods=['POST'])\nclass Checkin(Resource):\n <function token>\n\n\[email protected]('/checkout/<int:floor>/<int:room>', methods=['POST'])\nclass Checkout(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 2 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 3})\n return {'statusCode': 200, 'desc': 'Vacant', 'bookingStatus': 1\n }\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot checkout. Because Room is not occupied',\n 'bookingStatus': 0}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/cleaned/<int:floor>/<int:room>', methods=['POST'])\nclass Cleaned(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 3 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n return {'statusCode': 200, 'desc': 'Available',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot clean. Because Room is not vacant',\n 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/mark-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Markrepair(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 3 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 4})\n return {'statusCode': 200, 'desc': 'Taken for Repair',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot take for repair. Because Room is not vacant',\n 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/completed-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Completedrepair(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 4 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 3})\n return {'statusCode': 200, 'desc': 'Repair Completed',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot mark repair completed. Because Room is not taken for repair'\n , 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/available/', methods=['GET'])\nclass RoomsAvailable(Resource):\n\n def get(self):\n try:\n availabile = []\n for idxFloor, floor in enumerate(roomInfo):\n for idxRoom, room in enumerate(floor['rooms']):\n if any(int(x['floor']) == floor['floor'] and int(x[\n 'room']) == room['id'] for x in roomUpdates) == False:\n availabile.append(str(floor['floor']) + '-' + str(\n room['id']))\n if idxFloor == len(roomInfo) - 1 and idxRoom == len(floor\n ['rooms']) - 1:\n response = dict()\n response['availabile'] = availabile\n return {'statusCode': 200, 'desc':\n 'Available Rooms', 'response': response}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n", "<import token>\n<assignment token>\n<class token>\n\n\[email protected]('/checkout/<int:floor>/<int:room>', methods=['POST'])\nclass Checkout(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 2 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 3})\n return {'statusCode': 200, 'desc': 'Vacant', 'bookingStatus': 1\n }\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot checkout. Because Room is not occupied',\n 'bookingStatus': 0}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/cleaned/<int:floor>/<int:room>', methods=['POST'])\nclass Cleaned(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 3 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n return {'statusCode': 200, 'desc': 'Available',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot clean. Because Room is not vacant',\n 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/mark-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Markrepair(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 3 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 4})\n return {'statusCode': 200, 'desc': 'Taken for Repair',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot take for repair. Because Room is not vacant',\n 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/completed-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Completedrepair(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 4 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 3})\n return {'statusCode': 200, 'desc': 'Repair Completed',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot mark repair completed. Because Room is not taken for repair'\n , 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/available/', methods=['GET'])\nclass RoomsAvailable(Resource):\n\n def get(self):\n try:\n availabile = []\n for idxFloor, floor in enumerate(roomInfo):\n for idxRoom, room in enumerate(floor['rooms']):\n if any(int(x['floor']) == floor['floor'] and int(x[\n 'room']) == room['id'] for x in roomUpdates) == False:\n availabile.append(str(floor['floor']) + '-' + str(\n room['id']))\n if idxFloor == len(roomInfo) - 1 and idxRoom == len(floor\n ['rooms']) - 1:\n response = dict()\n response['availabile'] = availabile\n return {'statusCode': 200, 'desc':\n 'Available Rooms', 'response': response}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n", "<import token>\n<assignment token>\n<class token>\n\n\[email protected]('/checkout/<int:floor>/<int:room>', methods=['POST'])\nclass Checkout(Resource):\n <function token>\n\n\[email protected]('/cleaned/<int:floor>/<int:room>', methods=['POST'])\nclass Cleaned(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 3 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n return {'statusCode': 200, 'desc': 'Available',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot clean. Because Room is not vacant',\n 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/mark-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Markrepair(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 3 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 4})\n return {'statusCode': 200, 'desc': 'Taken for Repair',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot take for repair. Because Room is not vacant',\n 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/completed-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Completedrepair(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 4 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 3})\n return {'statusCode': 200, 'desc': 'Repair Completed',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot mark repair completed. Because Room is not taken for repair'\n , 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/available/', methods=['GET'])\nclass RoomsAvailable(Resource):\n\n def get(self):\n try:\n availabile = []\n for idxFloor, floor in enumerate(roomInfo):\n for idxRoom, room in enumerate(floor['rooms']):\n if any(int(x['floor']) == floor['floor'] and int(x[\n 'room']) == room['id'] for x in roomUpdates) == False:\n availabile.append(str(floor['floor']) + '-' + str(\n room['id']))\n if idxFloor == len(roomInfo) - 1 and idxRoom == len(floor\n ['rooms']) - 1:\n response = dict()\n response['availabile'] = availabile\n return {'statusCode': 200, 'desc':\n 'Available Rooms', 'response': response}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n", "<import token>\n<assignment token>\n<class token>\n<class token>\n\n\[email protected]('/cleaned/<int:floor>/<int:room>', methods=['POST'])\nclass Cleaned(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 3 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n return {'statusCode': 200, 'desc': 'Available',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot clean. Because Room is not vacant',\n 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/mark-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Markrepair(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 3 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 4})\n return {'statusCode': 200, 'desc': 'Taken for Repair',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot take for repair. Because Room is not vacant',\n 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/completed-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Completedrepair(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 4 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 3})\n return {'statusCode': 200, 'desc': 'Repair Completed',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot mark repair completed. Because Room is not taken for repair'\n , 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/available/', methods=['GET'])\nclass RoomsAvailable(Resource):\n\n def get(self):\n try:\n availabile = []\n for idxFloor, floor in enumerate(roomInfo):\n for idxRoom, room in enumerate(floor['rooms']):\n if any(int(x['floor']) == floor['floor'] and int(x[\n 'room']) == room['id'] for x in roomUpdates) == False:\n availabile.append(str(floor['floor']) + '-' + str(\n room['id']))\n if idxFloor == len(roomInfo) - 1 and idxRoom == len(floor\n ['rooms']) - 1:\n response = dict()\n response['availabile'] = availabile\n return {'statusCode': 200, 'desc':\n 'Available Rooms', 'response': response}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n", "<import token>\n<assignment token>\n<class token>\n<class token>\n\n\[email protected]('/cleaned/<int:floor>/<int:room>', methods=['POST'])\nclass Cleaned(Resource):\n <function token>\n\n\[email protected]('/mark-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Markrepair(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 3 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 4})\n return {'statusCode': 200, 'desc': 'Taken for Repair',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot take for repair. Because Room is not vacant',\n 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/completed-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Completedrepair(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 4 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 3})\n return {'statusCode': 200, 'desc': 'Repair Completed',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot mark repair completed. Because Room is not taken for repair'\n , 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/available/', methods=['GET'])\nclass RoomsAvailable(Resource):\n\n def get(self):\n try:\n availabile = []\n for idxFloor, floor in enumerate(roomInfo):\n for idxRoom, room in enumerate(floor['rooms']):\n if any(int(x['floor']) == floor['floor'] and int(x[\n 'room']) == room['id'] for x in roomUpdates) == False:\n availabile.append(str(floor['floor']) + '-' + str(\n room['id']))\n if idxFloor == len(roomInfo) - 1 and idxRoom == len(floor\n ['rooms']) - 1:\n response = dict()\n response['availabile'] = availabile\n return {'statusCode': 200, 'desc':\n 'Available Rooms', 'response': response}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n", "<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n\n\[email protected]('/mark-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Markrepair(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 3 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 4})\n return {'statusCode': 200, 'desc': 'Taken for Repair',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot take for repair. Because Room is not vacant',\n 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/completed-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Completedrepair(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 4 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 3})\n return {'statusCode': 200, 'desc': 'Repair Completed',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot mark repair completed. Because Room is not taken for repair'\n , 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/available/', methods=['GET'])\nclass RoomsAvailable(Resource):\n\n def get(self):\n try:\n availabile = []\n for idxFloor, floor in enumerate(roomInfo):\n for idxRoom, room in enumerate(floor['rooms']):\n if any(int(x['floor']) == floor['floor'] and int(x[\n 'room']) == room['id'] for x in roomUpdates) == False:\n availabile.append(str(floor['floor']) + '-' + str(\n room['id']))\n if idxFloor == len(roomInfo) - 1 and idxRoom == len(floor\n ['rooms']) - 1:\n response = dict()\n response['availabile'] = availabile\n return {'statusCode': 200, 'desc':\n 'Available Rooms', 'response': response}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n", "<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n\n\[email protected]('/mark-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Markrepair(Resource):\n <function token>\n\n\[email protected]('/completed-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Completedrepair(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 4 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 3})\n return {'statusCode': 200, 'desc': 'Repair Completed',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot mark repair completed. Because Room is not taken for repair'\n , 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/available/', methods=['GET'])\nclass RoomsAvailable(Resource):\n\n def get(self):\n try:\n availabile = []\n for idxFloor, floor in enumerate(roomInfo):\n for idxRoom, room in enumerate(floor['rooms']):\n if any(int(x['floor']) == floor['floor'] and int(x[\n 'room']) == room['id'] for x in roomUpdates) == False:\n availabile.append(str(floor['floor']) + '-' + str(\n room['id']))\n if idxFloor == len(roomInfo) - 1 and idxRoom == len(floor\n ['rooms']) - 1:\n response = dict()\n response['availabile'] = availabile\n return {'statusCode': 200, 'desc':\n 'Available Rooms', 'response': response}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n", "<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\[email protected]('/completed-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Completedrepair(Resource):\n\n def post(self, floor, room):\n try:\n if any(x['floor'] == floor and x['room'] == room and x['status'\n ] == 4 for x in roomUpdates):\n indexes = [i for i, x in enumerate(roomUpdates) if x[\n 'floor'] == floor and x['room'] == room]\n del roomUpdates[indexes[0]]\n roomUpdates.append({'floor': int(floor), 'room': int(room),\n 'status': 3})\n return {'statusCode': 200, 'desc': 'Repair Completed',\n 'bookingStatus': 1}\n else:\n return {'statusCode': 200, 'desc':\n 'Cannot mark repair completed. Because Room is not taken for repair'\n , 'bookingStatus': 1}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n\n\[email protected]('/available/', methods=['GET'])\nclass RoomsAvailable(Resource):\n\n def get(self):\n try:\n availabile = []\n for idxFloor, floor in enumerate(roomInfo):\n for idxRoom, room in enumerate(floor['rooms']):\n if any(int(x['floor']) == floor['floor'] and int(x[\n 'room']) == room['id'] for x in roomUpdates) == False:\n availabile.append(str(floor['floor']) + '-' + str(\n room['id']))\n if idxFloor == len(roomInfo) - 1 and idxRoom == len(floor\n ['rooms']) - 1:\n response = dict()\n response['availabile'] = availabile\n return {'statusCode': 200, 'desc':\n 'Available Rooms', 'response': response}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n", "<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\[email protected]('/completed-repair/<int:floor>/<int:room>', methods=['POST'])\nclass Completedrepair(Resource):\n <function token>\n\n\[email protected]('/available/', methods=['GET'])\nclass RoomsAvailable(Resource):\n\n def get(self):\n try:\n availabile = []\n for idxFloor, floor in enumerate(roomInfo):\n for idxRoom, room in enumerate(floor['rooms']):\n if any(int(x['floor']) == floor['floor'] and int(x[\n 'room']) == room['id'] for x in roomUpdates) == False:\n availabile.append(str(floor['floor']) + '-' + str(\n room['id']))\n if idxFloor == len(roomInfo) - 1 and idxRoom == len(floor\n ['rooms']) - 1:\n response = dict()\n response['availabile'] = availabile\n return {'statusCode': 200, 'desc':\n 'Available Rooms', 'response': response}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n", "<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\[email protected]('/available/', methods=['GET'])\nclass RoomsAvailable(Resource):\n\n def get(self):\n try:\n availabile = []\n for idxFloor, floor in enumerate(roomInfo):\n for idxRoom, room in enumerate(floor['rooms']):\n if any(int(x['floor']) == floor['floor'] and int(x[\n 'room']) == room['id'] for x in roomUpdates) == False:\n availabile.append(str(floor['floor']) + '-' + str(\n room['id']))\n if idxFloor == len(roomInfo) - 1 and idxRoom == len(floor\n ['rooms']) - 1:\n response = dict()\n response['availabile'] = availabile\n return {'statusCode': 200, 'desc':\n 'Available Rooms', 'response': response}\n except ValueError:\n return {'statusCode': 500, 'desc':\n 'Error in Checkin. Pleaes try again after some time...',\n 'bookingStatus': -1}\n", "<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\[email protected]('/available/', methods=['GET'])\nclass RoomsAvailable(Resource):\n <function token>\n", "<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n" ]
false
98,608
bba17f68e48c83a626d408ef201b80cef12de1ab
# -*- coding: utf-8 -*- __author__ = 'Wenzhi Mao' __version__ = '0.0.1' __release__ = [int(x) for x in __version__.split('.')] del x __all__ = [] from platform import system from sys import version_info _system = system() del system _PY3K = version_info[0] > 2 _PY2K = not _PY3K del version_info
[ "# -*- coding: utf-8 -*-\n__author__ = 'Wenzhi Mao'\n__version__ = '0.0.1'\n\n__release__ = [int(x) for x in __version__.split('.')]\ndel x\n__all__ = []\n\nfrom platform import system\nfrom sys import version_info\n\n_system = system()\ndel system\n\n_PY3K = version_info[0] > 2\n_PY2K = not _PY3K\ndel version_info\n", "__author__ = 'Wenzhi Mao'\n__version__ = '0.0.1'\n__release__ = [int(x) for x in __version__.split('.')]\ndel x\n__all__ = []\nfrom platform import system\nfrom sys import version_info\n_system = system()\ndel system\n_PY3K = version_info[0] > 2\n_PY2K = not _PY3K\ndel version_info\n", "__author__ = 'Wenzhi Mao'\n__version__ = '0.0.1'\n__release__ = [int(x) for x in __version__.split('.')]\ndel x\n__all__ = []\n<import token>\n_system = system()\ndel system\n_PY3K = version_info[0] > 2\n_PY2K = not _PY3K\ndel version_info\n", "<assignment token>\ndel x\n<assignment token>\n<import token>\n<assignment token>\ndel system\n<assignment token>\ndel version_info\n", "<assignment token>\n<code token>\n<assignment token>\n<import token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n" ]
false
98,609
60072c72d3e2a25467e8f9c49589bf6b94fb28d0
## UNIT TESTS import os import tempfile import pytest, flask import datetime as date from flaskr import flaskr, request, jsonify from dateutil.relativedelta import relativedelta app = flask.Flask(_name_) @pytest.fixture # called by each individual test - simple interface for app to trigger test reqs def client(): db_fd, flaskr.app.config['DATABASE'] = tempfile.mkstemp() # return low-level file handle and random file name - latter for db name flaskr.app.config['TESTING'] = True # disable error catching during request handling for cleaner error reports when testing app with flaskr.app.test_client() as client: with flaskr.app.app_context(): flaskr.init_db() yield client os.close(db_fd) os.unlink(flaskr.app.config['DATABASE']) def test_empty_db(client): # "test" prefix indicates pytest module to run this as a test """ Start with blank db """ rv = client.get('/') assert b'No team members here yet' in rv.data @app.route('/api/team/<string:name>') def test_correct_age_input(): # test age inputted by post request of user by checking years difference between birthday and today rv = client.get('/') json_data = request.get_json() name = json_data['name'] birthday = json_data['birthday'] age = json_data['age'] date_object = datetime.strptime(birthday, "%d-%m-%y") difference_in_years = relativedelta(date.today(), start_date).years if (difference_in_years != age): assert b'Invalid age inputted' in rv.data
[ "## UNIT TESTS\n\nimport os\nimport tempfile\n\nimport pytest, flask\nimport datetime as date\n\nfrom flaskr import flaskr, request, jsonify\nfrom dateutil.relativedelta import relativedelta\n\n\n\napp = flask.Flask(_name_)\n\[email protected] # called by each individual test - simple interface for app to trigger test reqs\ndef client():\n db_fd, flaskr.app.config['DATABASE'] = tempfile.mkstemp() # return low-level file handle and random file name - latter for db name\n flaskr.app.config['TESTING'] = True # disable error catching during request handling for cleaner error reports when testing app\n\n with flaskr.app.test_client() as client:\n with flaskr.app.app_context():\n flaskr.init_db()\n yield client\n\n os.close(db_fd)\n os.unlink(flaskr.app.config['DATABASE'])\n\ndef test_empty_db(client): # \"test\" prefix indicates pytest module to run this as a test\n \"\"\" Start with blank db \"\"\"\n\n rv = client.get('/')\n assert b'No team members here yet' in rv.data\n\[email protected]('/api/team/<string:name>')\ndef test_correct_age_input(): # test age inputted by post request of user by checking years difference between birthday and today\n rv = client.get('/')\n \n json_data = request.get_json()\n name = json_data['name']\n birthday = json_data['birthday']\n age = json_data['age']\n\n date_object = datetime.strptime(birthday, \"%d-%m-%y\")\n\n difference_in_years = relativedelta(date.today(), start_date).years\n\n if (difference_in_years != age):\n assert b'Invalid age inputted' in rv.data", "import os\nimport tempfile\nimport pytest, flask\nimport datetime as date\nfrom flaskr import flaskr, request, jsonify\nfrom dateutil.relativedelta import relativedelta\napp = flask.Flask(_name_)\n\n\[email protected]\ndef client():\n db_fd, flaskr.app.config['DATABASE'] = tempfile.mkstemp()\n flaskr.app.config['TESTING'] = True\n with flaskr.app.test_client() as client:\n with flaskr.app.app_context():\n flaskr.init_db()\n yield client\n os.close(db_fd)\n os.unlink(flaskr.app.config['DATABASE'])\n\n\ndef test_empty_db(client):\n \"\"\" Start with blank db \"\"\"\n rv = client.get('/')\n assert b'No team members here yet' in rv.data\n\n\[email protected]('/api/team/<string:name>')\ndef test_correct_age_input():\n rv = client.get('/')\n json_data = request.get_json()\n name = json_data['name']\n birthday = json_data['birthday']\n age = json_data['age']\n date_object = datetime.strptime(birthday, '%d-%m-%y')\n difference_in_years = relativedelta(date.today(), start_date).years\n if difference_in_years != age:\n assert b'Invalid age inputted' in rv.data\n", "<import token>\napp = flask.Flask(_name_)\n\n\[email protected]\ndef client():\n db_fd, flaskr.app.config['DATABASE'] = tempfile.mkstemp()\n flaskr.app.config['TESTING'] = True\n with flaskr.app.test_client() as client:\n with flaskr.app.app_context():\n flaskr.init_db()\n yield client\n os.close(db_fd)\n os.unlink(flaskr.app.config['DATABASE'])\n\n\ndef test_empty_db(client):\n \"\"\" Start with blank db \"\"\"\n rv = client.get('/')\n assert b'No team members here yet' in rv.data\n\n\[email protected]('/api/team/<string:name>')\ndef test_correct_age_input():\n rv = client.get('/')\n json_data = request.get_json()\n name = json_data['name']\n birthday = json_data['birthday']\n age = json_data['age']\n date_object = datetime.strptime(birthday, '%d-%m-%y')\n difference_in_years = relativedelta(date.today(), start_date).years\n if difference_in_years != age:\n assert b'Invalid age inputted' in rv.data\n", "<import token>\n<assignment token>\n\n\[email protected]\ndef client():\n db_fd, flaskr.app.config['DATABASE'] = tempfile.mkstemp()\n flaskr.app.config['TESTING'] = True\n with flaskr.app.test_client() as client:\n with flaskr.app.app_context():\n flaskr.init_db()\n yield client\n os.close(db_fd)\n os.unlink(flaskr.app.config['DATABASE'])\n\n\ndef test_empty_db(client):\n \"\"\" Start with blank db \"\"\"\n rv = client.get('/')\n assert b'No team members here yet' in rv.data\n\n\[email protected]('/api/team/<string:name>')\ndef test_correct_age_input():\n rv = client.get('/')\n json_data = request.get_json()\n name = json_data['name']\n birthday = json_data['birthday']\n age = json_data['age']\n date_object = datetime.strptime(birthday, '%d-%m-%y')\n difference_in_years = relativedelta(date.today(), start_date).years\n if difference_in_years != age:\n assert b'Invalid age inputted' in rv.data\n", "<import token>\n<assignment token>\n\n\[email protected]\ndef client():\n db_fd, flaskr.app.config['DATABASE'] = tempfile.mkstemp()\n flaskr.app.config['TESTING'] = True\n with flaskr.app.test_client() as client:\n with flaskr.app.app_context():\n flaskr.init_db()\n yield client\n os.close(db_fd)\n os.unlink(flaskr.app.config['DATABASE'])\n\n\ndef test_empty_db(client):\n \"\"\" Start with blank db \"\"\"\n rv = client.get('/')\n assert b'No team members here yet' in rv.data\n\n\n<function token>\n", "<import token>\n<assignment token>\n<function token>\n\n\ndef test_empty_db(client):\n \"\"\" Start with blank db \"\"\"\n rv = client.get('/')\n assert b'No team members here yet' in rv.data\n\n\n<function token>\n", "<import token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n" ]
false
98,610
9608ec4a8b56f597e60d15d4d99b00e33e642ba6
def check(v, regex): if not regex.match(v): raise ValueError return v
[ "def check(v, regex):\n if not regex.match(v):\n raise ValueError\n return v\n", "<function token>\n" ]
false
98,611
41adceb63f25afce537b4019f5a2383debf2a8fb
#!/usr/bin/python # coding:utf-8 from builder import Builder class HTMLBuilder( Builder ): strBuffer = [] def makeTitle( self, str ): self.strBuffer.append(str + ".html\n") self.strBuffer.append("<html><head><title>" +str+ "</title></head><body>") def makeString( self, str ): self.strBuffer.append("<p>" +str+ "</p>") def makeItems( self, str ): for i in str: self.strBuffer.append("<li>"+i+ "</li>" ) def close( self ): self.strBuffer.append("</body></html>") def getResult( self ): return self.strBuffer
[ "#!/usr/bin/python\n# coding:utf-8\n\nfrom builder import Builder\n\nclass HTMLBuilder( Builder ):\n strBuffer = []\n def makeTitle( self, str ):\n self.strBuffer.append(str + \".html\\n\")\n self.strBuffer.append(\"<html><head><title>\" +str+ \"</title></head><body>\")\n def makeString( self, str ):\n self.strBuffer.append(\"<p>\" +str+ \"</p>\")\n def makeItems( self, str ):\n for i in str:\n self.strBuffer.append(\"<li>\"+i+ \"</li>\" )\n def close( self ):\n self.strBuffer.append(\"</body></html>\")\n def getResult( self ):\n return self.strBuffer\n\n", "from builder import Builder\n\n\nclass HTMLBuilder(Builder):\n strBuffer = []\n\n def makeTitle(self, str):\n self.strBuffer.append(str + '.html\\n')\n self.strBuffer.append('<html><head><title>' + str +\n '</title></head><body>')\n\n def makeString(self, str):\n self.strBuffer.append('<p>' + str + '</p>')\n\n def makeItems(self, str):\n for i in str:\n self.strBuffer.append('<li>' + i + '</li>')\n\n def close(self):\n self.strBuffer.append('</body></html>')\n\n def getResult(self):\n return self.strBuffer\n", "<import token>\n\n\nclass HTMLBuilder(Builder):\n strBuffer = []\n\n def makeTitle(self, str):\n self.strBuffer.append(str + '.html\\n')\n self.strBuffer.append('<html><head><title>' + str +\n '</title></head><body>')\n\n def makeString(self, str):\n self.strBuffer.append('<p>' + str + '</p>')\n\n def makeItems(self, str):\n for i in str:\n self.strBuffer.append('<li>' + i + '</li>')\n\n def close(self):\n self.strBuffer.append('</body></html>')\n\n def getResult(self):\n return self.strBuffer\n", "<import token>\n\n\nclass HTMLBuilder(Builder):\n <assignment token>\n\n def makeTitle(self, str):\n self.strBuffer.append(str + '.html\\n')\n self.strBuffer.append('<html><head><title>' + str +\n '</title></head><body>')\n\n def makeString(self, str):\n self.strBuffer.append('<p>' + str + '</p>')\n\n def makeItems(self, str):\n for i in str:\n self.strBuffer.append('<li>' + i + '</li>')\n\n def close(self):\n self.strBuffer.append('</body></html>')\n\n def getResult(self):\n return self.strBuffer\n", "<import token>\n\n\nclass HTMLBuilder(Builder):\n <assignment token>\n\n def makeTitle(self, str):\n self.strBuffer.append(str + '.html\\n')\n self.strBuffer.append('<html><head><title>' + str +\n '</title></head><body>')\n\n def makeString(self, str):\n self.strBuffer.append('<p>' + str + '</p>')\n\n def makeItems(self, str):\n for i in str:\n self.strBuffer.append('<li>' + i + '</li>')\n\n def close(self):\n self.strBuffer.append('</body></html>')\n <function token>\n", "<import token>\n\n\nclass HTMLBuilder(Builder):\n <assignment token>\n <function token>\n\n def makeString(self, str):\n self.strBuffer.append('<p>' + str + '</p>')\n\n def makeItems(self, str):\n for i in str:\n self.strBuffer.append('<li>' + i + '</li>')\n\n def close(self):\n self.strBuffer.append('</body></html>')\n <function token>\n", "<import token>\n\n\nclass HTMLBuilder(Builder):\n <assignment token>\n <function token>\n\n def makeString(self, str):\n self.strBuffer.append('<p>' + str + '</p>')\n\n def makeItems(self, str):\n for i in str:\n self.strBuffer.append('<li>' + i + '</li>')\n <function token>\n <function token>\n", "<import token>\n\n\nclass HTMLBuilder(Builder):\n <assignment token>\n <function token>\n <function token>\n\n def makeItems(self, str):\n for i in str:\n self.strBuffer.append('<li>' + i + '</li>')\n <function token>\n <function token>\n", "<import token>\n\n\nclass HTMLBuilder(Builder):\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n", "<import token>\n<class token>\n" ]
false
98,612
c9744f1eb8e9bae2d511426063daef51551391a1
from picamera import PiCamera camera = PiCamera() camera.capture('/home/pi/Desktop/img.jpg')
[ "from picamera import PiCamera\ncamera = PiCamera()\ncamera.capture('/home/pi/Desktop/img.jpg')", "from picamera import PiCamera\ncamera = PiCamera()\ncamera.capture('/home/pi/Desktop/img.jpg')\n", "<import token>\ncamera = PiCamera()\ncamera.capture('/home/pi/Desktop/img.jpg')\n", "<import token>\n<assignment token>\ncamera.capture('/home/pi/Desktop/img.jpg')\n", "<import token>\n<assignment token>\n<code token>\n" ]
false
98,613
cc4c07963e1df3ee3d431c0127f8492f46529f38
import matplotlib import matplotlib.pyplot as plt import numpy as np import math def grafici(stato): intestazione="Stato " + stato print(intestazione) if stato=="solido": titolo1="sol" if stato=="liquido": titolo1="liq" if stato=="gassoso": titolo1="gas" nome_file_1="output.epot."+titolo1+".0" bl,energia,err = np.loadtxt(nome_file_1, usecols=(0,2,3), delimiter=' ', unpack='true') energia=energia*120.*1.380649*(10**(-23)) #conversione in SI err=err*120.*1.380649*(10**(-23)) plt.errorbar(bl,energia,yerr=err) plt.title("Andamento energia potenziale per particella") plt.xlabel("numero blocchi") plt.ylabel("U/N [J]") plt.grid(True) plt.show() nome_file_2="output.pres."+titolo1+".0" bl,pres,err = np.loadtxt(nome_file_2, usecols=(0,2,3), delimiter=' ', unpack='true') pres=pres*120.*1.380649*(10**(-23))/((0.34*(10**(-9)))**3) err=err*120.*1.380649*(10**(-23))/((0.34*(10**(-9)))**3) plt.errorbar(bl,pres,yerr=err) plt.title("Andamento pressione") plt.xlabel("numero blocchi") plt.ylabel("P[Pa]") plt.grid(True) plt.show() grafici("solido") grafici("liquido") grafici("gassoso")
[ "import matplotlib\nimport matplotlib.pyplot as plt\nimport numpy as np\nimport math\n\n\ndef grafici(stato):\n\tintestazione=\"Stato \" + stato\n\tprint(intestazione)\n\t\n\tif stato==\"solido\":\n\t\ttitolo1=\"sol\"\n\tif stato==\"liquido\":\n\t\ttitolo1=\"liq\"\n\tif stato==\"gassoso\":\n\t\ttitolo1=\"gas\"\n\t\t\n\tnome_file_1=\"output.epot.\"+titolo1+\".0\"\n\t\n\tbl,energia,err = np.loadtxt(nome_file_1, usecols=(0,2,3), delimiter=' ', unpack='true')\n\t\n\tenergia=energia*120.*1.380649*(10**(-23)) #conversione in SI\n\terr=err*120.*1.380649*(10**(-23))\n\t\n\tplt.errorbar(bl,energia,yerr=err)\n\tplt.title(\"Andamento energia potenziale per particella\")\n\tplt.xlabel(\"numero blocchi\")\n\tplt.ylabel(\"U/N [J]\")\n\tplt.grid(True)\n\tplt.show()\n\t\n\tnome_file_2=\"output.pres.\"+titolo1+\".0\"\n\tbl,pres,err = np.loadtxt(nome_file_2, usecols=(0,2,3), delimiter=' ', unpack='true')\n\t\n\tpres=pres*120.*1.380649*(10**(-23))/((0.34*(10**(-9)))**3)\n\terr=err*120.*1.380649*(10**(-23))/((0.34*(10**(-9)))**3)\n\t\n\tplt.errorbar(bl,pres,yerr=err)\t\n\tplt.title(\"Andamento pressione\")\n\tplt.xlabel(\"numero blocchi\")\n\tplt.ylabel(\"P[Pa]\")\n\tplt.grid(True)\n\tplt.show()\t\n\t\ngrafici(\"solido\")\ngrafici(\"liquido\")\ngrafici(\"gassoso\")\n\t\n\t\n", "import matplotlib\nimport matplotlib.pyplot as plt\nimport numpy as np\nimport math\n\n\ndef grafici(stato):\n intestazione = 'Stato ' + stato\n print(intestazione)\n if stato == 'solido':\n titolo1 = 'sol'\n if stato == 'liquido':\n titolo1 = 'liq'\n if stato == 'gassoso':\n titolo1 = 'gas'\n nome_file_1 = 'output.epot.' + titolo1 + '.0'\n bl, energia, err = np.loadtxt(nome_file_1, usecols=(0, 2, 3), delimiter\n =' ', unpack='true')\n energia = energia * 120.0 * 1.380649 * 10 ** -23\n err = err * 120.0 * 1.380649 * 10 ** -23\n plt.errorbar(bl, energia, yerr=err)\n plt.title('Andamento energia potenziale per particella')\n plt.xlabel('numero blocchi')\n plt.ylabel('U/N [J]')\n plt.grid(True)\n plt.show()\n nome_file_2 = 'output.pres.' + titolo1 + '.0'\n bl, pres, err = np.loadtxt(nome_file_2, usecols=(0, 2, 3), delimiter=\n ' ', unpack='true')\n pres = pres * 120.0 * 1.380649 * 10 ** -23 / (0.34 * 10 ** -9) ** 3\n err = err * 120.0 * 1.380649 * 10 ** -23 / (0.34 * 10 ** -9) ** 3\n plt.errorbar(bl, pres, yerr=err)\n plt.title('Andamento pressione')\n plt.xlabel('numero blocchi')\n plt.ylabel('P[Pa]')\n plt.grid(True)\n plt.show()\n\n\ngrafici('solido')\ngrafici('liquido')\ngrafici('gassoso')\n", "<import token>\n\n\ndef grafici(stato):\n intestazione = 'Stato ' + stato\n print(intestazione)\n if stato == 'solido':\n titolo1 = 'sol'\n if stato == 'liquido':\n titolo1 = 'liq'\n if stato == 'gassoso':\n titolo1 = 'gas'\n nome_file_1 = 'output.epot.' + titolo1 + '.0'\n bl, energia, err = np.loadtxt(nome_file_1, usecols=(0, 2, 3), delimiter\n =' ', unpack='true')\n energia = energia * 120.0 * 1.380649 * 10 ** -23\n err = err * 120.0 * 1.380649 * 10 ** -23\n plt.errorbar(bl, energia, yerr=err)\n plt.title('Andamento energia potenziale per particella')\n plt.xlabel('numero blocchi')\n plt.ylabel('U/N [J]')\n plt.grid(True)\n plt.show()\n nome_file_2 = 'output.pres.' + titolo1 + '.0'\n bl, pres, err = np.loadtxt(nome_file_2, usecols=(0, 2, 3), delimiter=\n ' ', unpack='true')\n pres = pres * 120.0 * 1.380649 * 10 ** -23 / (0.34 * 10 ** -9) ** 3\n err = err * 120.0 * 1.380649 * 10 ** -23 / (0.34 * 10 ** -9) ** 3\n plt.errorbar(bl, pres, yerr=err)\n plt.title('Andamento pressione')\n plt.xlabel('numero blocchi')\n plt.ylabel('P[Pa]')\n plt.grid(True)\n plt.show()\n\n\ngrafici('solido')\ngrafici('liquido')\ngrafici('gassoso')\n", "<import token>\n\n\ndef grafici(stato):\n intestazione = 'Stato ' + stato\n print(intestazione)\n if stato == 'solido':\n titolo1 = 'sol'\n if stato == 'liquido':\n titolo1 = 'liq'\n if stato == 'gassoso':\n titolo1 = 'gas'\n nome_file_1 = 'output.epot.' + titolo1 + '.0'\n bl, energia, err = np.loadtxt(nome_file_1, usecols=(0, 2, 3), delimiter\n =' ', unpack='true')\n energia = energia * 120.0 * 1.380649 * 10 ** -23\n err = err * 120.0 * 1.380649 * 10 ** -23\n plt.errorbar(bl, energia, yerr=err)\n plt.title('Andamento energia potenziale per particella')\n plt.xlabel('numero blocchi')\n plt.ylabel('U/N [J]')\n plt.grid(True)\n plt.show()\n nome_file_2 = 'output.pres.' + titolo1 + '.0'\n bl, pres, err = np.loadtxt(nome_file_2, usecols=(0, 2, 3), delimiter=\n ' ', unpack='true')\n pres = pres * 120.0 * 1.380649 * 10 ** -23 / (0.34 * 10 ** -9) ** 3\n err = err * 120.0 * 1.380649 * 10 ** -23 / (0.34 * 10 ** -9) ** 3\n plt.errorbar(bl, pres, yerr=err)\n plt.title('Andamento pressione')\n plt.xlabel('numero blocchi')\n plt.ylabel('P[Pa]')\n plt.grid(True)\n plt.show()\n\n\n<code token>\n", "<import token>\n<function token>\n<code token>\n" ]
false
98,614
f7bb8e18e438a9771e372153df7c188b025cbf8e
import secrets import time import random import pandas as pd from typing import Dict, Callable, Any # cadCAD configuration modules from cadCAD.configuration.utils import config_sim from cadCAD.configuration import Experiment # cadCAD simulation engine modules from cadCAD.engine import ExecutionMode, ExecutionContext from cadCAD.engine import Executor from cadCAD import configs del configs[:] from .specs import ( Deposit, DepositData, BeaconState, SECONDS_PER_SLOT, SLOTS_PER_EPOCH, initialize_beacon_state_from_eth1, ) from .network import ( Network, update_network, disseminate_attestations, disseminate_block, knowledge_set, ) from .utils.cadCADsupSUP import ( get_observed_psubs, get_observed_initial_conditions, add_loop_ic, add_loop_psubs, ) from eth2spec.utils.ssz.ssz_impl import hash_tree_root from eth2spec.utils.ssz.ssz_typing import Bitlist, uint64 from eth2spec.utils.hash_function import hash from .utils.eth2 import eth_to_gwei ## Initialisation def get_initial_deposits(validators): """Produce deposits Args: validators (Sequence[BRValidator]): Validators of the simulation Returns: List[Deposit]: The list of deposits """ return [Deposit( data=DepositData( amount=eth_to_gwei(32), pubkey=v.pubkey) ) for v in validators] def get_genesis_state(validators, seed="hello"): block_hash = hash(seed.encode("utf-8")) eth1_timestamp = 1578009600 return initialize_beacon_state_from_eth1( block_hash, eth1_timestamp, get_initial_deposits(validators) ) def skip_genesis_block(validators): for validator in validators: validator.forward_by(SECONDS_PER_SLOT) ## State transitions def tick(params, step, sL, s, _input): ''' We call tick to move the clock by one step (= a second if frequency is 1, a tenth of a second if frequency is 10 etc). When tick moves the clock past the start of a new slot, validators update their internals, checking for instance their new attester or proposer duties if this tick coincides with a new epoch. Whenever tick is called, we also check whether we want the network to update or not, by flipping a biased coin. By "updating the network", we mean "peers exchange messages". In the chain example above, with 4 validators arranged as 0 <-> 1 <-> 2 <-> 3, it takes two network updates for a message from validator 3 to reach validator 0 (when validator 3 sends their message, we assume that it reaches all their peers instantly). The update frequency of the network is represented by the network_update_rate simulation parameter, also in Hertz. A network_update_rate of 1 means that messages spread one step further on the network each second. ''' frequency = params["frequency"] # How many times per second we update the simulation. network_update_rate = params["network_update_rate"] # How many steps do messages propagate per second # Probably overkill assert frequency >= network_update_rate network = s["network"] update_prob = float(network_update_rate) / float(frequency) # If we draw a success, based on `update_prob`, update the network if random.random() < update_prob: update_network(network) # Push validators' clocks by one step for validator in network.validators: validator.update_time(frequency) if s["timestep"] % 100 == 0: print("timestep", s["timestep"], "of run", s["run"]) return ("network", network) def update_attestations(params, step, sL, s, _input): # Get the attestations and disseminate them on-the-wire network = s["network"] disseminate_attestations(network, _input["attestations"]) return ('network', network) def update_blocks(params, step, sL, s, _input): # Get the blocks proposed and disseminate them on-the-wire network = s["network"] for block in _input["blocks"]: disseminate_block(network, block.message.proposer_index, block) return ('network', network) ## Policies ### Attestations def attest_policy(params, step, sL, s): # Pinging validators to check if anyone wants to attest network = s['network'] produced_attestations = [] for validator_index, validator in enumerate(network.validators): known_items = knowledge_set(network, validator_index) attestation = validator.attest(known_items) if attestation is not None: produced_attestations.append([validator_index, attestation]) return ({ 'attestations': produced_attestations }) ### Block proposal def propose_policy(params, step, sL, s): # Pinging validators to check if anyone wants to propose a block network = s['network'] produced_blocks = [] for validator_index, validator in enumerate(network.validators): known_items = knowledge_set(network, validator_index) # Known attestations&blocks of ValidatorIndex. (attestation info required to aggregate and put into block!) block = validator.propose(known_items) # Check, if supposed to propose and if yes, propose! if block is not None: produced_blocks.append(block) return ({ 'blocks': produced_blocks }) ### Simulator shell class SimulationParameters: num_epochs: uint64 num_run: uint64 frequency: uint64 network_update_rate: float def __init__(self, obj): self.num_epochs = obj["num_epochs"] self.num_run = obj["num_run"] self.frequency = obj["frequency"] self.network_update_rate = obj["network_update_rate"] def simulate(network: Network, parameters: SimulationParameters, observers: Dict[str, Callable[[BeaconState], Any]] = {}) -> pd.DataFrame: """ Args: network (Network): Network of :py:class:`beaconrunner.validatorlib.BRValidator` parameters (BRSimulationParameters): Simulation parameters Returns: pandas.DataFrame: Results of the simulation contained in a pandas data frame """ initial_conditions = { 'network': network } psubs = [ { 'policies': { 'action': attest_policy # Ping all validators and check if they want to attest }, 'variables': { 'network': update_attestations # Send attestations to direct peers respectively } }, { 'policies': { 'action': propose_policy # Propose block if supposed to }, 'variables': { 'network': update_blocks # Send block to direct peers respectively. } }, { 'policies': { }, 'variables': { 'network': tick # step 5 } }, ] # Determine how many steps the simulation is running for num_slots = parameters.num_epochs * SLOTS_PER_EPOCH steps = int(num_slots * SECONDS_PER_SLOT * parameters.frequency) params = { "frequency": [parameters.frequency], "network_update_rate": [parameters.network_update_rate], } print("will simulate", parameters.num_epochs, "epochs (", num_slots, "slots ) at frequency", parameters.frequency, "moves/second") print("total", steps, "simulation steps") # Add our observers to the simulation observed_ic = get_observed_initial_conditions(initial_conditions, observers) observed_psubs = get_observed_psubs(psubs, observers) # observed_params = add_loop_params(get_observed_params(params, observers)) sim_config = config_sim({ 'T': range(steps), 'N': 1, 'M': { 'frequency': [parameters.frequency], 'network_update_rate': [parameters.network_update_rate], } }) from cadCAD import configs del configs[:] # Final simulation parameters and execution experiment = Experiment() experiment.append_configs( initial_state = observed_ic, partial_state_update_blocks = observed_psubs, sim_configs = sim_config ) exec_context = ExecutionContext() simulation = Executor(exec_context=exec_context, configs=configs) raw_result, tensor, sessions = simulation.execute() return pd.DataFrame(raw_result)
[ "import secrets\nimport time\nimport random\nimport pandas as pd\n\nfrom typing import Dict, Callable, Any\n\n# cadCAD configuration modules\nfrom cadCAD.configuration.utils import config_sim\nfrom cadCAD.configuration import Experiment\n\n# cadCAD simulation engine modules\nfrom cadCAD.engine import ExecutionMode, ExecutionContext\nfrom cadCAD.engine import Executor\n\nfrom cadCAD import configs\ndel configs[:]\n\nfrom .specs import (\n Deposit, DepositData, BeaconState,\n SECONDS_PER_SLOT, SLOTS_PER_EPOCH,\n initialize_beacon_state_from_eth1,\n)\nfrom .network import (\n Network,\n update_network, disseminate_attestations,\n disseminate_block, knowledge_set,\n)\n\nfrom .utils.cadCADsupSUP import (\n get_observed_psubs,\n get_observed_initial_conditions,\n add_loop_ic,\n add_loop_psubs,\n)\n\nfrom eth2spec.utils.ssz.ssz_impl import hash_tree_root\nfrom eth2spec.utils.ssz.ssz_typing import Bitlist, uint64\nfrom eth2spec.utils.hash_function import hash\nfrom .utils.eth2 import eth_to_gwei\n\n## Initialisation\n\ndef get_initial_deposits(validators):\n \"\"\"Produce deposits\n\n Args:\n validators (Sequence[BRValidator]): Validators of the simulation\n\n Returns:\n List[Deposit]: The list of deposits\n \"\"\"\n\n return [Deposit(\n data=DepositData(\n amount=eth_to_gwei(32),\n pubkey=v.pubkey)\n ) for v in validators]\n\ndef get_genesis_state(validators, seed=\"hello\"):\n block_hash = hash(seed.encode(\"utf-8\"))\n eth1_timestamp = 1578009600\n return initialize_beacon_state_from_eth1(\n block_hash, eth1_timestamp, get_initial_deposits(validators)\n )\n\ndef skip_genesis_block(validators):\n for validator in validators:\n validator.forward_by(SECONDS_PER_SLOT)\n\n## State transitions\n\ndef tick(params, step, sL, s, _input):\n '''\n We call tick to move the clock by one step (= a second if frequency is 1, a tenth of a second \n if frequency is 10 etc). When tick moves the clock past the start of a new slot, validators \n update their internals, checking for instance their new attester or proposer duties if this \n tick coincides with a new epoch.\n\n Whenever tick is called, we also check whether we want the network to update or not, by \n flipping a biased coin. By \"updating the network\", we mean \"peers exchange messages\". In the \n chain example above, with 4 validators arranged as 0 <-> 1 <-> 2 <-> 3, it takes two network \n updates for a message from validator 3 to reach validator 0 (when validator 3 sends their \n message, we assume that it reaches all their peers instantly).\n\n The update frequency of the network is represented by the network_update_rate simulation \n parameter, also in Hertz. A network_update_rate of 1 means that messages spread one step \n further on the network each second.\n '''\n\n frequency = params[\"frequency\"] # How many times per second we update the simulation.\n network_update_rate = params[\"network_update_rate\"] # How many steps do messages propagate per second\n\n # Probably overkill\n assert frequency >= network_update_rate\n\n network = s[\"network\"]\n\n update_prob = float(network_update_rate) / float(frequency)\n\n # If we draw a success, based on `update_prob`, update the network\n if random.random() < update_prob:\n update_network(network)\n\n # Push validators' clocks by one step\n for validator in network.validators:\n validator.update_time(frequency)\n\n if s[\"timestep\"] % 100 == 0:\n print(\"timestep\", s[\"timestep\"], \"of run\", s[\"run\"])\n\n return (\"network\", network)\n\ndef update_attestations(params, step, sL, s, _input):\n # Get the attestations and disseminate them on-the-wire\n network = s[\"network\"]\n disseminate_attestations(network, _input[\"attestations\"])\n\n return ('network', network)\n\ndef update_blocks(params, step, sL, s, _input):\n # Get the blocks proposed and disseminate them on-the-wire\n\n network = s[\"network\"]\n for block in _input[\"blocks\"]:\n disseminate_block(network, block.message.proposer_index, block)\n\n return ('network', network)\n\n## Policies\n\n### Attestations\n\ndef attest_policy(params, step, sL, s):\n # Pinging validators to check if anyone wants to attest\n\n network = s['network']\n produced_attestations = []\n\n for validator_index, validator in enumerate(network.validators):\n known_items = knowledge_set(network, validator_index)\n attestation = validator.attest(known_items)\n if attestation is not None:\n produced_attestations.append([validator_index, attestation])\n\n return ({ 'attestations': produced_attestations })\n\n### Block proposal\n\ndef propose_policy(params, step, sL, s):\n # Pinging validators to check if anyone wants to propose a block\n\n network = s['network']\n produced_blocks = []\n\n for validator_index, validator in enumerate(network.validators):\n known_items = knowledge_set(network, validator_index) # Known attestations&blocks of ValidatorIndex. (attestation info required to aggregate and put into block!)\n block = validator.propose(known_items) # Check, if supposed to propose and if yes, propose!\n if block is not None:\n produced_blocks.append(block)\n\n return ({ 'blocks': produced_blocks })\n\n### Simulator shell\n\nclass SimulationParameters:\n\n num_epochs: uint64\n num_run: uint64\n frequency: uint64\n network_update_rate: float\n\n def __init__(self, obj):\n self.num_epochs = obj[\"num_epochs\"]\n self.num_run = obj[\"num_run\"]\n self.frequency = obj[\"frequency\"]\n self.network_update_rate = obj[\"network_update_rate\"]\n\ndef simulate(network: Network, parameters: SimulationParameters, observers: Dict[str, Callable[[BeaconState], Any]] = {}) -> pd.DataFrame:\n \"\"\"\n Args:\n network (Network): Network of :py:class:`beaconrunner.validatorlib.BRValidator`\n parameters (BRSimulationParameters): Simulation parameters\n\n Returns:\n pandas.DataFrame: Results of the simulation contained in a pandas data frame\n \"\"\"\n\n initial_conditions = {\n 'network': network\n }\n\n psubs = [\n {\n 'policies': {\n 'action': attest_policy # Ping all validators and check if they want to attest\n },\n 'variables': {\n 'network': update_attestations # Send attestations to direct peers respectively\n }\n },\n {\n 'policies': {\n 'action': propose_policy # Propose block if supposed to\n },\n 'variables': {\n 'network': update_blocks # Send block to direct peers respectively.\n }\n },\n {\n 'policies': {\n },\n 'variables': {\n 'network': tick # step 5\n }\n },\n ]\n\n # Determine how many steps the simulation is running for\n num_slots = parameters.num_epochs * SLOTS_PER_EPOCH\n steps = int(num_slots * SECONDS_PER_SLOT * parameters.frequency)\n\n params = {\n \"frequency\": [parameters.frequency],\n \"network_update_rate\": [parameters.network_update_rate],\n }\n\n print(\"will simulate\", parameters.num_epochs, \"epochs (\", num_slots, \"slots ) at frequency\", parameters.frequency, \"moves/second\")\n print(\"total\", steps, \"simulation steps\")\n\n # Add our observers to the simulation\n observed_ic = get_observed_initial_conditions(initial_conditions, observers)\n observed_psubs = get_observed_psubs(psubs, observers)\n # observed_params = add_loop_params(get_observed_params(params, observers))\n\n sim_config = config_sim({\n 'T': range(steps),\n 'N': 1,\n 'M': {\n 'frequency': [parameters.frequency],\n 'network_update_rate': [parameters.network_update_rate],\n }\n })\n\n from cadCAD import configs\n del configs[:]\n\n # Final simulation parameters and execution\n experiment = Experiment()\n experiment.append_configs(\n initial_state = observed_ic,\n partial_state_update_blocks = observed_psubs,\n sim_configs = sim_config\n )\n\n exec_context = ExecutionContext()\n simulation = Executor(exec_context=exec_context, configs=configs)\n raw_result, tensor, sessions = simulation.execute()\n\n return pd.DataFrame(raw_result)\n", "import secrets\nimport time\nimport random\nimport pandas as pd\nfrom typing import Dict, Callable, Any\nfrom cadCAD.configuration.utils import config_sim\nfrom cadCAD.configuration import Experiment\nfrom cadCAD.engine import ExecutionMode, ExecutionContext\nfrom cadCAD.engine import Executor\nfrom cadCAD import configs\ndel configs[:]\nfrom .specs import Deposit, DepositData, BeaconState, SECONDS_PER_SLOT, SLOTS_PER_EPOCH, initialize_beacon_state_from_eth1\nfrom .network import Network, update_network, disseminate_attestations, disseminate_block, knowledge_set\nfrom .utils.cadCADsupSUP import get_observed_psubs, get_observed_initial_conditions, add_loop_ic, add_loop_psubs\nfrom eth2spec.utils.ssz.ssz_impl import hash_tree_root\nfrom eth2spec.utils.ssz.ssz_typing import Bitlist, uint64\nfrom eth2spec.utils.hash_function import hash\nfrom .utils.eth2 import eth_to_gwei\n\n\ndef get_initial_deposits(validators):\n \"\"\"Produce deposits\n\n Args:\n validators (Sequence[BRValidator]): Validators of the simulation\n\n Returns:\n List[Deposit]: The list of deposits\n \"\"\"\n return [Deposit(data=DepositData(amount=eth_to_gwei(32), pubkey=v.\n pubkey)) for v in validators]\n\n\ndef get_genesis_state(validators, seed='hello'):\n block_hash = hash(seed.encode('utf-8'))\n eth1_timestamp = 1578009600\n return initialize_beacon_state_from_eth1(block_hash, eth1_timestamp,\n get_initial_deposits(validators))\n\n\ndef skip_genesis_block(validators):\n for validator in validators:\n validator.forward_by(SECONDS_PER_SLOT)\n\n\ndef tick(params, step, sL, s, _input):\n \"\"\"\n We call tick to move the clock by one step (= a second if frequency is 1, a tenth of a second \n if frequency is 10 etc). When tick moves the clock past the start of a new slot, validators \n update their internals, checking for instance their new attester or proposer duties if this \n tick coincides with a new epoch.\n\n Whenever tick is called, we also check whether we want the network to update or not, by \n flipping a biased coin. By \"updating the network\", we mean \"peers exchange messages\". In the \n chain example above, with 4 validators arranged as 0 <-> 1 <-> 2 <-> 3, it takes two network \n updates for a message from validator 3 to reach validator 0 (when validator 3 sends their \n message, we assume that it reaches all their peers instantly).\n\n The update frequency of the network is represented by the network_update_rate simulation \n parameter, also in Hertz. A network_update_rate of 1 means that messages spread one step \n further on the network each second.\n \"\"\"\n frequency = params['frequency']\n network_update_rate = params['network_update_rate']\n assert frequency >= network_update_rate\n network = s['network']\n update_prob = float(network_update_rate) / float(frequency)\n if random.random() < update_prob:\n update_network(network)\n for validator in network.validators:\n validator.update_time(frequency)\n if s['timestep'] % 100 == 0:\n print('timestep', s['timestep'], 'of run', s['run'])\n return 'network', network\n\n\ndef update_attestations(params, step, sL, s, _input):\n network = s['network']\n disseminate_attestations(network, _input['attestations'])\n return 'network', network\n\n\ndef update_blocks(params, step, sL, s, _input):\n network = s['network']\n for block in _input['blocks']:\n disseminate_block(network, block.message.proposer_index, block)\n return 'network', network\n\n\ndef attest_policy(params, step, sL, s):\n network = s['network']\n produced_attestations = []\n for validator_index, validator in enumerate(network.validators):\n known_items = knowledge_set(network, validator_index)\n attestation = validator.attest(known_items)\n if attestation is not None:\n produced_attestations.append([validator_index, attestation])\n return {'attestations': produced_attestations}\n\n\ndef propose_policy(params, step, sL, s):\n network = s['network']\n produced_blocks = []\n for validator_index, validator in enumerate(network.validators):\n known_items = knowledge_set(network, validator_index)\n block = validator.propose(known_items)\n if block is not None:\n produced_blocks.append(block)\n return {'blocks': produced_blocks}\n\n\nclass SimulationParameters:\n num_epochs: uint64\n num_run: uint64\n frequency: uint64\n network_update_rate: float\n\n def __init__(self, obj):\n self.num_epochs = obj['num_epochs']\n self.num_run = obj['num_run']\n self.frequency = obj['frequency']\n self.network_update_rate = obj['network_update_rate']\n\n\ndef simulate(network: Network, parameters: SimulationParameters, observers:\n Dict[str, Callable[[BeaconState], Any]]={}) ->pd.DataFrame:\n \"\"\"\n Args:\n network (Network): Network of :py:class:`beaconrunner.validatorlib.BRValidator`\n parameters (BRSimulationParameters): Simulation parameters\n\n Returns:\n pandas.DataFrame: Results of the simulation contained in a pandas data frame\n \"\"\"\n initial_conditions = {'network': network}\n psubs = [{'policies': {'action': attest_policy}, 'variables': {\n 'network': update_attestations}}, {'policies': {'action':\n propose_policy}, 'variables': {'network': update_blocks}}, {\n 'policies': {}, 'variables': {'network': tick}}]\n num_slots = parameters.num_epochs * SLOTS_PER_EPOCH\n steps = int(num_slots * SECONDS_PER_SLOT * parameters.frequency)\n params = {'frequency': [parameters.frequency], 'network_update_rate': [\n parameters.network_update_rate]}\n print('will simulate', parameters.num_epochs, 'epochs (', num_slots,\n 'slots ) at frequency', parameters.frequency, 'moves/second')\n print('total', steps, 'simulation steps')\n observed_ic = get_observed_initial_conditions(initial_conditions, observers\n )\n observed_psubs = get_observed_psubs(psubs, observers)\n sim_config = config_sim({'T': range(steps), 'N': 1, 'M': {'frequency':\n [parameters.frequency], 'network_update_rate': [parameters.\n network_update_rate]}})\n from cadCAD import configs\n del configs[:]\n experiment = Experiment()\n experiment.append_configs(initial_state=observed_ic,\n partial_state_update_blocks=observed_psubs, sim_configs=sim_config)\n exec_context = ExecutionContext()\n simulation = Executor(exec_context=exec_context, configs=configs)\n raw_result, tensor, sessions = simulation.execute()\n return pd.DataFrame(raw_result)\n", "<import token>\ndel configs[:]\n<import token>\n\n\ndef get_initial_deposits(validators):\n \"\"\"Produce deposits\n\n Args:\n validators (Sequence[BRValidator]): Validators of the simulation\n\n Returns:\n List[Deposit]: The list of deposits\n \"\"\"\n return [Deposit(data=DepositData(amount=eth_to_gwei(32), pubkey=v.\n pubkey)) for v in validators]\n\n\ndef get_genesis_state(validators, seed='hello'):\n block_hash = hash(seed.encode('utf-8'))\n eth1_timestamp = 1578009600\n return initialize_beacon_state_from_eth1(block_hash, eth1_timestamp,\n get_initial_deposits(validators))\n\n\ndef skip_genesis_block(validators):\n for validator in validators:\n validator.forward_by(SECONDS_PER_SLOT)\n\n\ndef tick(params, step, sL, s, _input):\n \"\"\"\n We call tick to move the clock by one step (= a second if frequency is 1, a tenth of a second \n if frequency is 10 etc). When tick moves the clock past the start of a new slot, validators \n update their internals, checking for instance their new attester or proposer duties if this \n tick coincides with a new epoch.\n\n Whenever tick is called, we also check whether we want the network to update or not, by \n flipping a biased coin. By \"updating the network\", we mean \"peers exchange messages\". In the \n chain example above, with 4 validators arranged as 0 <-> 1 <-> 2 <-> 3, it takes two network \n updates for a message from validator 3 to reach validator 0 (when validator 3 sends their \n message, we assume that it reaches all their peers instantly).\n\n The update frequency of the network is represented by the network_update_rate simulation \n parameter, also in Hertz. A network_update_rate of 1 means that messages spread one step \n further on the network each second.\n \"\"\"\n frequency = params['frequency']\n network_update_rate = params['network_update_rate']\n assert frequency >= network_update_rate\n network = s['network']\n update_prob = float(network_update_rate) / float(frequency)\n if random.random() < update_prob:\n update_network(network)\n for validator in network.validators:\n validator.update_time(frequency)\n if s['timestep'] % 100 == 0:\n print('timestep', s['timestep'], 'of run', s['run'])\n return 'network', network\n\n\ndef update_attestations(params, step, sL, s, _input):\n network = s['network']\n disseminate_attestations(network, _input['attestations'])\n return 'network', network\n\n\ndef update_blocks(params, step, sL, s, _input):\n network = s['network']\n for block in _input['blocks']:\n disseminate_block(network, block.message.proposer_index, block)\n return 'network', network\n\n\ndef attest_policy(params, step, sL, s):\n network = s['network']\n produced_attestations = []\n for validator_index, validator in enumerate(network.validators):\n known_items = knowledge_set(network, validator_index)\n attestation = validator.attest(known_items)\n if attestation is not None:\n produced_attestations.append([validator_index, attestation])\n return {'attestations': produced_attestations}\n\n\ndef propose_policy(params, step, sL, s):\n network = s['network']\n produced_blocks = []\n for validator_index, validator in enumerate(network.validators):\n known_items = knowledge_set(network, validator_index)\n block = validator.propose(known_items)\n if block is not None:\n produced_blocks.append(block)\n return {'blocks': produced_blocks}\n\n\nclass SimulationParameters:\n num_epochs: uint64\n num_run: uint64\n frequency: uint64\n network_update_rate: float\n\n def __init__(self, obj):\n self.num_epochs = obj['num_epochs']\n self.num_run = obj['num_run']\n self.frequency = obj['frequency']\n self.network_update_rate = obj['network_update_rate']\n\n\ndef simulate(network: Network, parameters: SimulationParameters, observers:\n Dict[str, Callable[[BeaconState], Any]]={}) ->pd.DataFrame:\n \"\"\"\n Args:\n network (Network): Network of :py:class:`beaconrunner.validatorlib.BRValidator`\n parameters (BRSimulationParameters): Simulation parameters\n\n Returns:\n pandas.DataFrame: Results of the simulation contained in a pandas data frame\n \"\"\"\n initial_conditions = {'network': network}\n psubs = [{'policies': {'action': attest_policy}, 'variables': {\n 'network': update_attestations}}, {'policies': {'action':\n propose_policy}, 'variables': {'network': update_blocks}}, {\n 'policies': {}, 'variables': {'network': tick}}]\n num_slots = parameters.num_epochs * SLOTS_PER_EPOCH\n steps = int(num_slots * SECONDS_PER_SLOT * parameters.frequency)\n params = {'frequency': [parameters.frequency], 'network_update_rate': [\n parameters.network_update_rate]}\n print('will simulate', parameters.num_epochs, 'epochs (', num_slots,\n 'slots ) at frequency', parameters.frequency, 'moves/second')\n print('total', steps, 'simulation steps')\n observed_ic = get_observed_initial_conditions(initial_conditions, observers\n )\n observed_psubs = get_observed_psubs(psubs, observers)\n sim_config = config_sim({'T': range(steps), 'N': 1, 'M': {'frequency':\n [parameters.frequency], 'network_update_rate': [parameters.\n network_update_rate]}})\n from cadCAD import configs\n del configs[:]\n experiment = Experiment()\n experiment.append_configs(initial_state=observed_ic,\n partial_state_update_blocks=observed_psubs, sim_configs=sim_config)\n exec_context = ExecutionContext()\n simulation = Executor(exec_context=exec_context, configs=configs)\n raw_result, tensor, sessions = simulation.execute()\n return pd.DataFrame(raw_result)\n", "<import token>\n<code token>\n<import token>\n\n\ndef get_initial_deposits(validators):\n \"\"\"Produce deposits\n\n Args:\n validators (Sequence[BRValidator]): Validators of the simulation\n\n Returns:\n List[Deposit]: The list of deposits\n \"\"\"\n return [Deposit(data=DepositData(amount=eth_to_gwei(32), pubkey=v.\n pubkey)) for v in validators]\n\n\ndef get_genesis_state(validators, seed='hello'):\n block_hash = hash(seed.encode('utf-8'))\n eth1_timestamp = 1578009600\n return initialize_beacon_state_from_eth1(block_hash, eth1_timestamp,\n get_initial_deposits(validators))\n\n\ndef skip_genesis_block(validators):\n for validator in validators:\n validator.forward_by(SECONDS_PER_SLOT)\n\n\ndef tick(params, step, sL, s, _input):\n \"\"\"\n We call tick to move the clock by one step (= a second if frequency is 1, a tenth of a second \n if frequency is 10 etc). When tick moves the clock past the start of a new slot, validators \n update their internals, checking for instance their new attester or proposer duties if this \n tick coincides with a new epoch.\n\n Whenever tick is called, we also check whether we want the network to update or not, by \n flipping a biased coin. By \"updating the network\", we mean \"peers exchange messages\". In the \n chain example above, with 4 validators arranged as 0 <-> 1 <-> 2 <-> 3, it takes two network \n updates for a message from validator 3 to reach validator 0 (when validator 3 sends their \n message, we assume that it reaches all their peers instantly).\n\n The update frequency of the network is represented by the network_update_rate simulation \n parameter, also in Hertz. A network_update_rate of 1 means that messages spread one step \n further on the network each second.\n \"\"\"\n frequency = params['frequency']\n network_update_rate = params['network_update_rate']\n assert frequency >= network_update_rate\n network = s['network']\n update_prob = float(network_update_rate) / float(frequency)\n if random.random() < update_prob:\n update_network(network)\n for validator in network.validators:\n validator.update_time(frequency)\n if s['timestep'] % 100 == 0:\n print('timestep', s['timestep'], 'of run', s['run'])\n return 'network', network\n\n\ndef update_attestations(params, step, sL, s, _input):\n network = s['network']\n disseminate_attestations(network, _input['attestations'])\n return 'network', network\n\n\ndef update_blocks(params, step, sL, s, _input):\n network = s['network']\n for block in _input['blocks']:\n disseminate_block(network, block.message.proposer_index, block)\n return 'network', network\n\n\ndef attest_policy(params, step, sL, s):\n network = s['network']\n produced_attestations = []\n for validator_index, validator in enumerate(network.validators):\n known_items = knowledge_set(network, validator_index)\n attestation = validator.attest(known_items)\n if attestation is not None:\n produced_attestations.append([validator_index, attestation])\n return {'attestations': produced_attestations}\n\n\ndef propose_policy(params, step, sL, s):\n network = s['network']\n produced_blocks = []\n for validator_index, validator in enumerate(network.validators):\n known_items = knowledge_set(network, validator_index)\n block = validator.propose(known_items)\n if block is not None:\n produced_blocks.append(block)\n return {'blocks': produced_blocks}\n\n\nclass SimulationParameters:\n num_epochs: uint64\n num_run: uint64\n frequency: uint64\n network_update_rate: float\n\n def __init__(self, obj):\n self.num_epochs = obj['num_epochs']\n self.num_run = obj['num_run']\n self.frequency = obj['frequency']\n self.network_update_rate = obj['network_update_rate']\n\n\ndef simulate(network: Network, parameters: SimulationParameters, observers:\n Dict[str, Callable[[BeaconState], Any]]={}) ->pd.DataFrame:\n \"\"\"\n Args:\n network (Network): Network of :py:class:`beaconrunner.validatorlib.BRValidator`\n parameters (BRSimulationParameters): Simulation parameters\n\n Returns:\n pandas.DataFrame: Results of the simulation contained in a pandas data frame\n \"\"\"\n initial_conditions = {'network': network}\n psubs = [{'policies': {'action': attest_policy}, 'variables': {\n 'network': update_attestations}}, {'policies': {'action':\n propose_policy}, 'variables': {'network': update_blocks}}, {\n 'policies': {}, 'variables': {'network': tick}}]\n num_slots = parameters.num_epochs * SLOTS_PER_EPOCH\n steps = int(num_slots * SECONDS_PER_SLOT * parameters.frequency)\n params = {'frequency': [parameters.frequency], 'network_update_rate': [\n parameters.network_update_rate]}\n print('will simulate', parameters.num_epochs, 'epochs (', num_slots,\n 'slots ) at frequency', parameters.frequency, 'moves/second')\n print('total', steps, 'simulation steps')\n observed_ic = get_observed_initial_conditions(initial_conditions, observers\n )\n observed_psubs = get_observed_psubs(psubs, observers)\n sim_config = config_sim({'T': range(steps), 'N': 1, 'M': {'frequency':\n [parameters.frequency], 'network_update_rate': [parameters.\n network_update_rate]}})\n from cadCAD import configs\n del configs[:]\n experiment = Experiment()\n experiment.append_configs(initial_state=observed_ic,\n partial_state_update_blocks=observed_psubs, sim_configs=sim_config)\n exec_context = ExecutionContext()\n simulation = Executor(exec_context=exec_context, configs=configs)\n raw_result, tensor, sessions = simulation.execute()\n return pd.DataFrame(raw_result)\n", "<import token>\n<code token>\n<import token>\n\n\ndef get_initial_deposits(validators):\n \"\"\"Produce deposits\n\n Args:\n validators (Sequence[BRValidator]): Validators of the simulation\n\n Returns:\n List[Deposit]: The list of deposits\n \"\"\"\n return [Deposit(data=DepositData(amount=eth_to_gwei(32), pubkey=v.\n pubkey)) for v in validators]\n\n\ndef get_genesis_state(validators, seed='hello'):\n block_hash = hash(seed.encode('utf-8'))\n eth1_timestamp = 1578009600\n return initialize_beacon_state_from_eth1(block_hash, eth1_timestamp,\n get_initial_deposits(validators))\n\n\ndef skip_genesis_block(validators):\n for validator in validators:\n validator.forward_by(SECONDS_PER_SLOT)\n\n\ndef tick(params, step, sL, s, _input):\n \"\"\"\n We call tick to move the clock by one step (= a second if frequency is 1, a tenth of a second \n if frequency is 10 etc). When tick moves the clock past the start of a new slot, validators \n update their internals, checking for instance their new attester or proposer duties if this \n tick coincides with a new epoch.\n\n Whenever tick is called, we also check whether we want the network to update or not, by \n flipping a biased coin. By \"updating the network\", we mean \"peers exchange messages\". In the \n chain example above, with 4 validators arranged as 0 <-> 1 <-> 2 <-> 3, it takes two network \n updates for a message from validator 3 to reach validator 0 (when validator 3 sends their \n message, we assume that it reaches all their peers instantly).\n\n The update frequency of the network is represented by the network_update_rate simulation \n parameter, also in Hertz. A network_update_rate of 1 means that messages spread one step \n further on the network each second.\n \"\"\"\n frequency = params['frequency']\n network_update_rate = params['network_update_rate']\n assert frequency >= network_update_rate\n network = s['network']\n update_prob = float(network_update_rate) / float(frequency)\n if random.random() < update_prob:\n update_network(network)\n for validator in network.validators:\n validator.update_time(frequency)\n if s['timestep'] % 100 == 0:\n print('timestep', s['timestep'], 'of run', s['run'])\n return 'network', network\n\n\ndef update_attestations(params, step, sL, s, _input):\n network = s['network']\n disseminate_attestations(network, _input['attestations'])\n return 'network', network\n\n\n<function token>\n\n\ndef attest_policy(params, step, sL, s):\n network = s['network']\n produced_attestations = []\n for validator_index, validator in enumerate(network.validators):\n known_items = knowledge_set(network, validator_index)\n attestation = validator.attest(known_items)\n if attestation is not None:\n produced_attestations.append([validator_index, attestation])\n return {'attestations': produced_attestations}\n\n\ndef propose_policy(params, step, sL, s):\n network = s['network']\n produced_blocks = []\n for validator_index, validator in enumerate(network.validators):\n known_items = knowledge_set(network, validator_index)\n block = validator.propose(known_items)\n if block is not None:\n produced_blocks.append(block)\n return {'blocks': produced_blocks}\n\n\nclass SimulationParameters:\n num_epochs: uint64\n num_run: uint64\n frequency: uint64\n network_update_rate: float\n\n def __init__(self, obj):\n self.num_epochs = obj['num_epochs']\n self.num_run = obj['num_run']\n self.frequency = obj['frequency']\n self.network_update_rate = obj['network_update_rate']\n\n\ndef simulate(network: Network, parameters: SimulationParameters, observers:\n Dict[str, Callable[[BeaconState], Any]]={}) ->pd.DataFrame:\n \"\"\"\n Args:\n network (Network): Network of :py:class:`beaconrunner.validatorlib.BRValidator`\n parameters (BRSimulationParameters): Simulation parameters\n\n Returns:\n pandas.DataFrame: Results of the simulation contained in a pandas data frame\n \"\"\"\n initial_conditions = {'network': network}\n psubs = [{'policies': {'action': attest_policy}, 'variables': {\n 'network': update_attestations}}, {'policies': {'action':\n propose_policy}, 'variables': {'network': update_blocks}}, {\n 'policies': {}, 'variables': {'network': tick}}]\n num_slots = parameters.num_epochs * SLOTS_PER_EPOCH\n steps = int(num_slots * SECONDS_PER_SLOT * parameters.frequency)\n params = {'frequency': [parameters.frequency], 'network_update_rate': [\n parameters.network_update_rate]}\n print('will simulate', parameters.num_epochs, 'epochs (', num_slots,\n 'slots ) at frequency', parameters.frequency, 'moves/second')\n print('total', steps, 'simulation steps')\n observed_ic = get_observed_initial_conditions(initial_conditions, observers\n )\n observed_psubs = get_observed_psubs(psubs, observers)\n sim_config = config_sim({'T': range(steps), 'N': 1, 'M': {'frequency':\n [parameters.frequency], 'network_update_rate': [parameters.\n network_update_rate]}})\n from cadCAD import configs\n del configs[:]\n experiment = Experiment()\n experiment.append_configs(initial_state=observed_ic,\n partial_state_update_blocks=observed_psubs, sim_configs=sim_config)\n exec_context = ExecutionContext()\n simulation = Executor(exec_context=exec_context, configs=configs)\n raw_result, tensor, sessions = simulation.execute()\n return pd.DataFrame(raw_result)\n", "<import token>\n<code token>\n<import token>\n\n\ndef get_initial_deposits(validators):\n \"\"\"Produce deposits\n\n Args:\n validators (Sequence[BRValidator]): Validators of the simulation\n\n Returns:\n List[Deposit]: The list of deposits\n \"\"\"\n return [Deposit(data=DepositData(amount=eth_to_gwei(32), pubkey=v.\n pubkey)) for v in validators]\n\n\ndef get_genesis_state(validators, seed='hello'):\n block_hash = hash(seed.encode('utf-8'))\n eth1_timestamp = 1578009600\n return initialize_beacon_state_from_eth1(block_hash, eth1_timestamp,\n get_initial_deposits(validators))\n\n\ndef skip_genesis_block(validators):\n for validator in validators:\n validator.forward_by(SECONDS_PER_SLOT)\n\n\n<function token>\n\n\ndef update_attestations(params, step, sL, s, _input):\n network = s['network']\n disseminate_attestations(network, _input['attestations'])\n return 'network', network\n\n\n<function token>\n\n\ndef attest_policy(params, step, sL, s):\n network = s['network']\n produced_attestations = []\n for validator_index, validator in enumerate(network.validators):\n known_items = knowledge_set(network, validator_index)\n attestation = validator.attest(known_items)\n if attestation is not None:\n produced_attestations.append([validator_index, attestation])\n return {'attestations': produced_attestations}\n\n\ndef propose_policy(params, step, sL, s):\n network = s['network']\n produced_blocks = []\n for validator_index, validator in enumerate(network.validators):\n known_items = knowledge_set(network, validator_index)\n block = validator.propose(known_items)\n if block is not None:\n produced_blocks.append(block)\n return {'blocks': produced_blocks}\n\n\nclass SimulationParameters:\n num_epochs: uint64\n num_run: uint64\n frequency: uint64\n network_update_rate: float\n\n def __init__(self, obj):\n self.num_epochs = obj['num_epochs']\n self.num_run = obj['num_run']\n self.frequency = obj['frequency']\n self.network_update_rate = obj['network_update_rate']\n\n\ndef simulate(network: Network, parameters: SimulationParameters, observers:\n Dict[str, Callable[[BeaconState], Any]]={}) ->pd.DataFrame:\n \"\"\"\n Args:\n network (Network): Network of :py:class:`beaconrunner.validatorlib.BRValidator`\n parameters (BRSimulationParameters): Simulation parameters\n\n Returns:\n pandas.DataFrame: Results of the simulation contained in a pandas data frame\n \"\"\"\n initial_conditions = {'network': network}\n psubs = [{'policies': {'action': attest_policy}, 'variables': {\n 'network': update_attestations}}, {'policies': {'action':\n propose_policy}, 'variables': {'network': update_blocks}}, {\n 'policies': {}, 'variables': {'network': tick}}]\n num_slots = parameters.num_epochs * SLOTS_PER_EPOCH\n steps = int(num_slots * SECONDS_PER_SLOT * parameters.frequency)\n params = {'frequency': [parameters.frequency], 'network_update_rate': [\n parameters.network_update_rate]}\n print('will simulate', parameters.num_epochs, 'epochs (', num_slots,\n 'slots ) at frequency', parameters.frequency, 'moves/second')\n print('total', steps, 'simulation steps')\n observed_ic = get_observed_initial_conditions(initial_conditions, observers\n )\n observed_psubs = get_observed_psubs(psubs, observers)\n sim_config = config_sim({'T': range(steps), 'N': 1, 'M': {'frequency':\n [parameters.frequency], 'network_update_rate': [parameters.\n network_update_rate]}})\n from cadCAD import configs\n del configs[:]\n experiment = Experiment()\n experiment.append_configs(initial_state=observed_ic,\n partial_state_update_blocks=observed_psubs, sim_configs=sim_config)\n exec_context = ExecutionContext()\n simulation = Executor(exec_context=exec_context, configs=configs)\n raw_result, tensor, sessions = simulation.execute()\n return pd.DataFrame(raw_result)\n", "<import token>\n<code token>\n<import token>\n\n\ndef get_initial_deposits(validators):\n \"\"\"Produce deposits\n\n Args:\n validators (Sequence[BRValidator]): Validators of the simulation\n\n Returns:\n List[Deposit]: The list of deposits\n \"\"\"\n return [Deposit(data=DepositData(amount=eth_to_gwei(32), pubkey=v.\n pubkey)) for v in validators]\n\n\ndef get_genesis_state(validators, seed='hello'):\n block_hash = hash(seed.encode('utf-8'))\n eth1_timestamp = 1578009600\n return initialize_beacon_state_from_eth1(block_hash, eth1_timestamp,\n get_initial_deposits(validators))\n\n\ndef skip_genesis_block(validators):\n for validator in validators:\n validator.forward_by(SECONDS_PER_SLOT)\n\n\n<function token>\n\n\ndef update_attestations(params, step, sL, s, _input):\n network = s['network']\n disseminate_attestations(network, _input['attestations'])\n return 'network', network\n\n\n<function token>\n\n\ndef attest_policy(params, step, sL, s):\n network = s['network']\n produced_attestations = []\n for validator_index, validator in enumerate(network.validators):\n known_items = knowledge_set(network, validator_index)\n attestation = validator.attest(known_items)\n if attestation is not None:\n produced_attestations.append([validator_index, attestation])\n return {'attestations': produced_attestations}\n\n\ndef propose_policy(params, step, sL, s):\n network = s['network']\n produced_blocks = []\n for validator_index, validator in enumerate(network.validators):\n known_items = knowledge_set(network, validator_index)\n block = validator.propose(known_items)\n if block is not None:\n produced_blocks.append(block)\n return {'blocks': produced_blocks}\n\n\nclass SimulationParameters:\n num_epochs: uint64\n num_run: uint64\n frequency: uint64\n network_update_rate: float\n\n def __init__(self, obj):\n self.num_epochs = obj['num_epochs']\n self.num_run = obj['num_run']\n self.frequency = obj['frequency']\n self.network_update_rate = obj['network_update_rate']\n\n\n<function token>\n", "<import token>\n<code token>\n<import token>\n\n\ndef get_initial_deposits(validators):\n \"\"\"Produce deposits\n\n Args:\n validators (Sequence[BRValidator]): Validators of the simulation\n\n Returns:\n List[Deposit]: The list of deposits\n \"\"\"\n return [Deposit(data=DepositData(amount=eth_to_gwei(32), pubkey=v.\n pubkey)) for v in validators]\n\n\ndef get_genesis_state(validators, seed='hello'):\n block_hash = hash(seed.encode('utf-8'))\n eth1_timestamp = 1578009600\n return initialize_beacon_state_from_eth1(block_hash, eth1_timestamp,\n get_initial_deposits(validators))\n\n\ndef skip_genesis_block(validators):\n for validator in validators:\n validator.forward_by(SECONDS_PER_SLOT)\n\n\n<function token>\n\n\ndef update_attestations(params, step, sL, s, _input):\n network = s['network']\n disseminate_attestations(network, _input['attestations'])\n return 'network', network\n\n\n<function token>\n\n\ndef attest_policy(params, step, sL, s):\n network = s['network']\n produced_attestations = []\n for validator_index, validator in enumerate(network.validators):\n known_items = knowledge_set(network, validator_index)\n attestation = validator.attest(known_items)\n if attestation is not None:\n produced_attestations.append([validator_index, attestation])\n return {'attestations': produced_attestations}\n\n\n<function token>\n\n\nclass SimulationParameters:\n num_epochs: uint64\n num_run: uint64\n frequency: uint64\n network_update_rate: float\n\n def __init__(self, obj):\n self.num_epochs = obj['num_epochs']\n self.num_run = obj['num_run']\n self.frequency = obj['frequency']\n self.network_update_rate = obj['network_update_rate']\n\n\n<function token>\n", "<import token>\n<code token>\n<import token>\n\n\ndef get_initial_deposits(validators):\n \"\"\"Produce deposits\n\n Args:\n validators (Sequence[BRValidator]): Validators of the simulation\n\n Returns:\n List[Deposit]: The list of deposits\n \"\"\"\n return [Deposit(data=DepositData(amount=eth_to_gwei(32), pubkey=v.\n pubkey)) for v in validators]\n\n\ndef get_genesis_state(validators, seed='hello'):\n block_hash = hash(seed.encode('utf-8'))\n eth1_timestamp = 1578009600\n return initialize_beacon_state_from_eth1(block_hash, eth1_timestamp,\n get_initial_deposits(validators))\n\n\n<function token>\n<function token>\n\n\ndef update_attestations(params, step, sL, s, _input):\n network = s['network']\n disseminate_attestations(network, _input['attestations'])\n return 'network', network\n\n\n<function token>\n\n\ndef attest_policy(params, step, sL, s):\n network = s['network']\n produced_attestations = []\n for validator_index, validator in enumerate(network.validators):\n known_items = knowledge_set(network, validator_index)\n attestation = validator.attest(known_items)\n if attestation is not None:\n produced_attestations.append([validator_index, attestation])\n return {'attestations': produced_attestations}\n\n\n<function token>\n\n\nclass SimulationParameters:\n num_epochs: uint64\n num_run: uint64\n frequency: uint64\n network_update_rate: float\n\n def __init__(self, obj):\n self.num_epochs = obj['num_epochs']\n self.num_run = obj['num_run']\n self.frequency = obj['frequency']\n self.network_update_rate = obj['network_update_rate']\n\n\n<function token>\n", "<import token>\n<code token>\n<import token>\n\n\ndef get_initial_deposits(validators):\n \"\"\"Produce deposits\n\n Args:\n validators (Sequence[BRValidator]): Validators of the simulation\n\n Returns:\n List[Deposit]: The list of deposits\n \"\"\"\n return [Deposit(data=DepositData(amount=eth_to_gwei(32), pubkey=v.\n pubkey)) for v in validators]\n\n\ndef get_genesis_state(validators, seed='hello'):\n block_hash = hash(seed.encode('utf-8'))\n eth1_timestamp = 1578009600\n return initialize_beacon_state_from_eth1(block_hash, eth1_timestamp,\n get_initial_deposits(validators))\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef attest_policy(params, step, sL, s):\n network = s['network']\n produced_attestations = []\n for validator_index, validator in enumerate(network.validators):\n known_items = knowledge_set(network, validator_index)\n attestation = validator.attest(known_items)\n if attestation is not None:\n produced_attestations.append([validator_index, attestation])\n return {'attestations': produced_attestations}\n\n\n<function token>\n\n\nclass SimulationParameters:\n num_epochs: uint64\n num_run: uint64\n frequency: uint64\n network_update_rate: float\n\n def __init__(self, obj):\n self.num_epochs = obj['num_epochs']\n self.num_run = obj['num_run']\n self.frequency = obj['frequency']\n self.network_update_rate = obj['network_update_rate']\n\n\n<function token>\n", "<import token>\n<code token>\n<import token>\n\n\ndef get_initial_deposits(validators):\n \"\"\"Produce deposits\n\n Args:\n validators (Sequence[BRValidator]): Validators of the simulation\n\n Returns:\n List[Deposit]: The list of deposits\n \"\"\"\n return [Deposit(data=DepositData(amount=eth_to_gwei(32), pubkey=v.\n pubkey)) for v in validators]\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef attest_policy(params, step, sL, s):\n network = s['network']\n produced_attestations = []\n for validator_index, validator in enumerate(network.validators):\n known_items = knowledge_set(network, validator_index)\n attestation = validator.attest(known_items)\n if attestation is not None:\n produced_attestations.append([validator_index, attestation])\n return {'attestations': produced_attestations}\n\n\n<function token>\n\n\nclass SimulationParameters:\n num_epochs: uint64\n num_run: uint64\n frequency: uint64\n network_update_rate: float\n\n def __init__(self, obj):\n self.num_epochs = obj['num_epochs']\n self.num_run = obj['num_run']\n self.frequency = obj['frequency']\n self.network_update_rate = obj['network_update_rate']\n\n\n<function token>\n", "<import token>\n<code token>\n<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef attest_policy(params, step, sL, s):\n network = s['network']\n produced_attestations = []\n for validator_index, validator in enumerate(network.validators):\n known_items = knowledge_set(network, validator_index)\n attestation = validator.attest(known_items)\n if attestation is not None:\n produced_attestations.append([validator_index, attestation])\n return {'attestations': produced_attestations}\n\n\n<function token>\n\n\nclass SimulationParameters:\n num_epochs: uint64\n num_run: uint64\n frequency: uint64\n network_update_rate: float\n\n def __init__(self, obj):\n self.num_epochs = obj['num_epochs']\n self.num_run = obj['num_run']\n self.frequency = obj['frequency']\n self.network_update_rate = obj['network_update_rate']\n\n\n<function token>\n", "<import token>\n<code token>\n<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\nclass SimulationParameters:\n num_epochs: uint64\n num_run: uint64\n frequency: uint64\n network_update_rate: float\n\n def __init__(self, obj):\n self.num_epochs = obj['num_epochs']\n self.num_run = obj['num_run']\n self.frequency = obj['frequency']\n self.network_update_rate = obj['network_update_rate']\n\n\n<function token>\n", "<import token>\n<code token>\n<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\nclass SimulationParameters:\n num_epochs: uint64\n num_run: uint64\n frequency: uint64\n network_update_rate: float\n <function token>\n\n\n<function token>\n", "<import token>\n<code token>\n<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n<function token>\n" ]
false
98,615
b8cb14ab88be083345481b7d3b5362e47aacb28c
import threading import time import queue import cwipc import cwipc.codec from typing import Optional, List, Any from .abstract import VRT_4CC, vrt_fourcc_type, cwipc_producer_abstract, cwipc_rawsink_abstract, cwipc_sink_abstract class _Sink_Encoder(threading.Thread, cwipc_sink_abstract): """A pointcloud sink that compresses pointclouds and forwards them to a rawsink.""" FOURCC="cwi1" SELECT_TIMEOUT=0.1 QUEUE_FULL_TIMEOUT=0.001 sink : cwipc_rawsink_abstract input_queue : queue.Queue[cwipc.cwipc_wrapper] pointcounts : List[int] tiledescriptions : List[cwipc.cwipc_tileinfo_pythonic] encoder_group : Optional[cwipc.codec.cwipc_encodergroup_wrapper] encoders : List[cwipc.codec.cwipc_encoder_wrapper] times_encode : List[float] # xxxjack the Any for sink is a cop-out. Need to define ABCs for all the types. def __init__(self, sink : cwipc_rawsink_abstract, verbose : bool=False, nodrop : bool=False): threading.Thread.__init__(self) self.name = 'cwipc_util._Sink_Encoder' self.sink = sink self.sink.set_fourcc(self.FOURCC) self.producer = None self.nodrop = nodrop self.input_queue = queue.Queue(maxsize=2) self.verbose = verbose self.nodrop = nodrop self.stopped = False self.started = False self.times_encode = [] self.pointcounts = [] self.encoder_group = None self.encoders = [] self.tiledescriptions = [{}] self.octree_bits = None self.jpeg_quality = None def set_encoder_params(self, tiles : Optional[List[cwipc.cwipc_tileinfo_pythonic]] = None, octree_bits : Optional[int]=None, jpeg_quality : Optional[int]=None) -> None: if tiles == None: tiles = [{}] self.tiledescriptions = tiles self.octree_bits = octree_bits self.jpeg_quality = jpeg_quality def start(self) -> None: self._init_encoders() threading.Thread.start(self) self.sink.start() self.started = True def stop(self) -> None: if self.verbose: print(f"encoder: stopping thread") self.stopped = True self.sink.stop() if self.started: self.join() def set_producer(self, producer : Any) -> None: self.producer = producer self.sink.set_producer(producer) def is_alive(self): return not self.stopped def run(self): assert self.encoder_group if self.verbose: print(f"encoder: thread started") try: while not self.stopped and self.producer and self.producer.is_alive(): pc = self.input_queue.get() if not pc: print(f"encoder: get() returned None") continue self.pointcounts.append(pc.count()) t1 = time.time() self.encoder_group.feed(pc) packets : List[bytearray] = [] for i in range(len(self.encoders)): got_data = self.encoders[i].available(True) assert got_data cpc = self.encoders[i].get_bytes() packets.append(cpc) t2 = time.time() if len(packets) == 1: self.sink.feed(packets[0]) else: for i in range(len(packets)): self.sink.feed(packets[i], stream_index=i) pc.free() self.times_encode.append(t2-t1) finally: self.stopped = True if self.verbose: print(f"encoder: thread stopping") def feed(self, pc : cwipc.cwipc_wrapper) -> None: try: if self.nodrop: self.input_queue.put(pc) else: self.input_queue.put(pc, timeout=self.QUEUE_FULL_TIMEOUT) except queue.Full: if self.verbose: print(f"encoder: queue full, drop pointcloud") pc.free() def _init_encoders(self): if not self.octree_bits: self.octree_bits = 9 if type(self.octree_bits) != type([]): self.octree_bits = [self.octree_bits] if not self.jpeg_quality: self.jpeg_quality = 85 if type(self.jpeg_quality) != type([]): self.jpeg_quality = [self.jpeg_quality] voxelsize = 0 if self.verbose: print(f'encoder: creating {len(self.tiledescriptions)*len(self.octree_bits)*len(self.jpeg_quality)} encoders/streams') self.encoder_group = cwipc.codec.cwipc_new_encodergroup() for tile in range(len(self.tiledescriptions)): for octree_bits in self.octree_bits: for jpeg_quality in self.jpeg_quality: srctile = self.tiledescriptions[tile].get('ncamera', tile) encparams = cwipc.codec.cwipc_encoder_params(False, 1, 1.0, octree_bits, jpeg_quality, 16, srctile, voxelsize) encoder = self.encoder_group.addencoder(params=encparams) self.encoders.append(encoder) if hasattr(self.sink, 'add_streamDesc'): # Our sink can handle multiple tiles/quality streams. # Initialize to the best of our knowledge if not 'normal' in self.tiledescriptions[tile]: print(f'encoder: warning: tile {tile} description has no normal vector: {self.tiledescriptions[tile]}') normal = self.tiledescriptions[tile].get("normal", dict(x=0, y=0, z=0)) streamNum = self.sink.add_streamDesc(tile, normal['x'], normal['y'], normal['z']) # type: ignore if self.verbose: print(f'encoder: streamNum={streamNum}, tile={tile}, srctile={srctile}, normal={normal}, octree_bits={octree_bits}, jpeg_quality={jpeg_quality}') else: # Single stream sink. streamNum = 0 assert streamNum == len(self.encoders)-1 # Fails if multi-stream not supported by network sink. def statistics(self): self.print1stat('encode_duration', self.times_encode) self.print1stat('pointcount', self.pointcounts) if hasattr(self.sink, 'statistics'): self.sink.statistics() def print1stat(self, name, values, isInt=False): count = len(values) if count == 0: print('encoder: {}: count=0'.format(name)) return minValue = min(values) maxValue = max(values) avgValue = sum(values) / count if isInt: fmtstring = 'encoder: {}: count={}, average={:.3f}, min={:d}, max={:d}' else: fmtstring = 'encoder: {}: count={}, average={:.3f}, min={:.3f}, max={:.3f}' print(fmtstring.format(name, count, avgValue, minValue, maxValue)) def cwipc_sink_encoder(sink : cwipc_rawsink_abstract, verbose : bool=False, nodrop : bool=False) -> cwipc_sink_abstract: """Create a cwipc_sink object that compresses pointclouds and forward them to a rawsink.""" if cwipc.codec == None: raise RuntimeError("cwipc_sink_encoder: requires cwipc.codec with is not available") return _Sink_Encoder(sink, verbose=verbose, nodrop=nodrop)
[ "import threading\nimport time\nimport queue\nimport cwipc\nimport cwipc.codec\nfrom typing import Optional, List, Any\nfrom .abstract import VRT_4CC, vrt_fourcc_type, cwipc_producer_abstract, cwipc_rawsink_abstract, cwipc_sink_abstract\n\nclass _Sink_Encoder(threading.Thread, cwipc_sink_abstract):\n \"\"\"A pointcloud sink that compresses pointclouds and forwards them to a rawsink.\"\"\"\n \n FOURCC=\"cwi1\"\n SELECT_TIMEOUT=0.1\n QUEUE_FULL_TIMEOUT=0.001\n\n sink : cwipc_rawsink_abstract\n input_queue : queue.Queue[cwipc.cwipc_wrapper]\n pointcounts : List[int]\n tiledescriptions : List[cwipc.cwipc_tileinfo_pythonic]\n encoder_group : Optional[cwipc.codec.cwipc_encodergroup_wrapper]\n encoders : List[cwipc.codec.cwipc_encoder_wrapper]\n times_encode : List[float]\n\n # xxxjack the Any for sink is a cop-out. Need to define ABCs for all the types.\n def __init__(self, sink : cwipc_rawsink_abstract, verbose : bool=False, nodrop : bool=False):\n threading.Thread.__init__(self)\n self.name = 'cwipc_util._Sink_Encoder'\n self.sink = sink\n self.sink.set_fourcc(self.FOURCC)\n self.producer = None\n self.nodrop = nodrop\n self.input_queue = queue.Queue(maxsize=2)\n self.verbose = verbose\n self.nodrop = nodrop\n self.stopped = False\n self.started = False\n self.times_encode = []\n self.pointcounts = []\n self.encoder_group = None\n self.encoders = []\n \n self.tiledescriptions = [{}]\n self.octree_bits = None\n self.jpeg_quality = None\n \n def set_encoder_params(self, tiles : Optional[List[cwipc.cwipc_tileinfo_pythonic]] = None, octree_bits : Optional[int]=None, jpeg_quality : Optional[int]=None) -> None:\n if tiles == None: tiles = [{}]\n self.tiledescriptions = tiles\n self.octree_bits = octree_bits\n self.jpeg_quality = jpeg_quality\n \n def start(self) -> None:\n self._init_encoders()\n threading.Thread.start(self)\n self.sink.start()\n self.started = True\n \n def stop(self) -> None:\n if self.verbose: print(f\"encoder: stopping thread\")\n self.stopped = True\n self.sink.stop()\n if self.started:\n self.join()\n \n def set_producer(self, producer : Any) -> None:\n self.producer = producer\n self.sink.set_producer(producer)\n \n def is_alive(self):\n return not self.stopped \n \n def run(self):\n assert self.encoder_group\n if self.verbose: print(f\"encoder: thread started\")\n try:\n while not self.stopped and self.producer and self.producer.is_alive():\n pc = self.input_queue.get()\n if not pc:\n print(f\"encoder: get() returned None\")\n continue\n self.pointcounts.append(pc.count())\n \n t1 = time.time()\n self.encoder_group.feed(pc)\n packets : List[bytearray] = []\n for i in range(len(self.encoders)):\n got_data = self.encoders[i].available(True)\n assert got_data\n cpc = self.encoders[i].get_bytes()\n packets.append(cpc)\n t2 = time.time()\n \n if len(packets) == 1:\n self.sink.feed(packets[0])\n else:\n for i in range(len(packets)):\n self.sink.feed(packets[i], stream_index=i)\n pc.free()\n self.times_encode.append(t2-t1)\n finally:\n self.stopped = True\n if self.verbose: print(f\"encoder: thread stopping\")\n \n def feed(self, pc : cwipc.cwipc_wrapper) -> None:\n try:\n if self.nodrop:\n self.input_queue.put(pc)\n else:\n self.input_queue.put(pc, timeout=self.QUEUE_FULL_TIMEOUT)\n except queue.Full:\n if self.verbose: print(f\"encoder: queue full, drop pointcloud\")\n pc.free()\n \n def _init_encoders(self):\n if not self.octree_bits:\n self.octree_bits = 9\n if type(self.octree_bits) != type([]):\n self.octree_bits = [self.octree_bits]\n \n if not self.jpeg_quality:\n self.jpeg_quality = 85\n if type(self.jpeg_quality) != type([]):\n self.jpeg_quality = [self.jpeg_quality]\n \n voxelsize = 0\n \n if self.verbose:\n print(f'encoder: creating {len(self.tiledescriptions)*len(self.octree_bits)*len(self.jpeg_quality)} encoders/streams')\n \n self.encoder_group = cwipc.codec.cwipc_new_encodergroup()\n for tile in range(len(self.tiledescriptions)):\n for octree_bits in self.octree_bits:\n for jpeg_quality in self.jpeg_quality:\n srctile = self.tiledescriptions[tile].get('ncamera', tile)\n encparams = cwipc.codec.cwipc_encoder_params(False, 1, 1.0, octree_bits, jpeg_quality, 16, srctile, voxelsize)\n encoder = self.encoder_group.addencoder(params=encparams)\n self.encoders.append(encoder)\n if hasattr(self.sink, 'add_streamDesc'):\n # Our sink can handle multiple tiles/quality streams.\n # Initialize to the best of our knowledge\n if not 'normal' in self.tiledescriptions[tile]:\n print(f'encoder: warning: tile {tile} description has no normal vector: {self.tiledescriptions[tile]}')\n normal = self.tiledescriptions[tile].get(\"normal\", dict(x=0, y=0, z=0))\n streamNum = self.sink.add_streamDesc(tile, normal['x'], normal['y'], normal['z']) # type: ignore\n if self.verbose:\n print(f'encoder: streamNum={streamNum}, tile={tile}, srctile={srctile}, normal={normal}, octree_bits={octree_bits}, jpeg_quality={jpeg_quality}')\n else:\n # Single stream sink.\n streamNum = 0\n assert streamNum == len(self.encoders)-1 # Fails if multi-stream not supported by network sink.\n\n def statistics(self):\n self.print1stat('encode_duration', self.times_encode)\n self.print1stat('pointcount', self.pointcounts)\n if hasattr(self.sink, 'statistics'):\n self.sink.statistics()\n \n def print1stat(self, name, values, isInt=False):\n count = len(values)\n if count == 0:\n print('encoder: {}: count=0'.format(name))\n return\n minValue = min(values)\n maxValue = max(values)\n avgValue = sum(values) / count\n if isInt:\n fmtstring = 'encoder: {}: count={}, average={:.3f}, min={:d}, max={:d}'\n else:\n fmtstring = 'encoder: {}: count={}, average={:.3f}, min={:.3f}, max={:.3f}'\n print(fmtstring.format(name, count, avgValue, minValue, maxValue))\n\ndef cwipc_sink_encoder(sink : cwipc_rawsink_abstract, verbose : bool=False, nodrop : bool=False) -> cwipc_sink_abstract:\n \"\"\"Create a cwipc_sink object that compresses pointclouds and forward them to a rawsink.\"\"\"\n if cwipc.codec == None:\n raise RuntimeError(\"cwipc_sink_encoder: requires cwipc.codec with is not available\")\n return _Sink_Encoder(sink, verbose=verbose, nodrop=nodrop)", "import threading\nimport time\nimport queue\nimport cwipc\nimport cwipc.codec\nfrom typing import Optional, List, Any\nfrom .abstract import VRT_4CC, vrt_fourcc_type, cwipc_producer_abstract, cwipc_rawsink_abstract, cwipc_sink_abstract\n\n\nclass _Sink_Encoder(threading.Thread, cwipc_sink_abstract):\n \"\"\"A pointcloud sink that compresses pointclouds and forwards them to a rawsink.\"\"\"\n FOURCC = 'cwi1'\n SELECT_TIMEOUT = 0.1\n QUEUE_FULL_TIMEOUT = 0.001\n sink: cwipc_rawsink_abstract\n input_queue: queue.Queue[cwipc.cwipc_wrapper]\n pointcounts: List[int]\n tiledescriptions: List[cwipc.cwipc_tileinfo_pythonic]\n encoder_group: Optional[cwipc.codec.cwipc_encodergroup_wrapper]\n encoders: List[cwipc.codec.cwipc_encoder_wrapper]\n times_encode: List[float]\n\n def __init__(self, sink: cwipc_rawsink_abstract, verbose: bool=False,\n nodrop: bool=False):\n threading.Thread.__init__(self)\n self.name = 'cwipc_util._Sink_Encoder'\n self.sink = sink\n self.sink.set_fourcc(self.FOURCC)\n self.producer = None\n self.nodrop = nodrop\n self.input_queue = queue.Queue(maxsize=2)\n self.verbose = verbose\n self.nodrop = nodrop\n self.stopped = False\n self.started = False\n self.times_encode = []\n self.pointcounts = []\n self.encoder_group = None\n self.encoders = []\n self.tiledescriptions = [{}]\n self.octree_bits = None\n self.jpeg_quality = None\n\n def set_encoder_params(self, tiles: Optional[List[cwipc.\n cwipc_tileinfo_pythonic]]=None, octree_bits: Optional[int]=None,\n jpeg_quality: Optional[int]=None) ->None:\n if tiles == None:\n tiles = [{}]\n self.tiledescriptions = tiles\n self.octree_bits = octree_bits\n self.jpeg_quality = jpeg_quality\n\n def start(self) ->None:\n self._init_encoders()\n threading.Thread.start(self)\n self.sink.start()\n self.started = True\n\n def stop(self) ->None:\n if self.verbose:\n print(f'encoder: stopping thread')\n self.stopped = True\n self.sink.stop()\n if self.started:\n self.join()\n\n def set_producer(self, producer: Any) ->None:\n self.producer = producer\n self.sink.set_producer(producer)\n\n def is_alive(self):\n return not self.stopped\n\n def run(self):\n assert self.encoder_group\n if self.verbose:\n print(f'encoder: thread started')\n try:\n while (not self.stopped and self.producer and self.producer.\n is_alive()):\n pc = self.input_queue.get()\n if not pc:\n print(f'encoder: get() returned None')\n continue\n self.pointcounts.append(pc.count())\n t1 = time.time()\n self.encoder_group.feed(pc)\n packets: List[bytearray] = []\n for i in range(len(self.encoders)):\n got_data = self.encoders[i].available(True)\n assert got_data\n cpc = self.encoders[i].get_bytes()\n packets.append(cpc)\n t2 = time.time()\n if len(packets) == 1:\n self.sink.feed(packets[0])\n else:\n for i in range(len(packets)):\n self.sink.feed(packets[i], stream_index=i)\n pc.free()\n self.times_encode.append(t2 - t1)\n finally:\n self.stopped = True\n if self.verbose:\n print(f'encoder: thread stopping')\n\n def feed(self, pc: cwipc.cwipc_wrapper) ->None:\n try:\n if self.nodrop:\n self.input_queue.put(pc)\n else:\n self.input_queue.put(pc, timeout=self.QUEUE_FULL_TIMEOUT)\n except queue.Full:\n if self.verbose:\n print(f'encoder: queue full, drop pointcloud')\n pc.free()\n\n def _init_encoders(self):\n if not self.octree_bits:\n self.octree_bits = 9\n if type(self.octree_bits) != type([]):\n self.octree_bits = [self.octree_bits]\n if not self.jpeg_quality:\n self.jpeg_quality = 85\n if type(self.jpeg_quality) != type([]):\n self.jpeg_quality = [self.jpeg_quality]\n voxelsize = 0\n if self.verbose:\n print(\n f'encoder: creating {len(self.tiledescriptions) * len(self.octree_bits) * len(self.jpeg_quality)} encoders/streams'\n )\n self.encoder_group = cwipc.codec.cwipc_new_encodergroup()\n for tile in range(len(self.tiledescriptions)):\n for octree_bits in self.octree_bits:\n for jpeg_quality in self.jpeg_quality:\n srctile = self.tiledescriptions[tile].get('ncamera', tile)\n encparams = cwipc.codec.cwipc_encoder_params(False, 1, \n 1.0, octree_bits, jpeg_quality, 16, srctile, voxelsize)\n encoder = self.encoder_group.addencoder(params=encparams)\n self.encoders.append(encoder)\n if hasattr(self.sink, 'add_streamDesc'):\n if not 'normal' in self.tiledescriptions[tile]:\n print(\n f'encoder: warning: tile {tile} description has no normal vector: {self.tiledescriptions[tile]}'\n )\n normal = self.tiledescriptions[tile].get('normal',\n dict(x=0, y=0, z=0))\n streamNum = self.sink.add_streamDesc(tile, normal[\n 'x'], normal['y'], normal['z'])\n if self.verbose:\n print(\n f'encoder: streamNum={streamNum}, tile={tile}, srctile={srctile}, normal={normal}, octree_bits={octree_bits}, jpeg_quality={jpeg_quality}'\n )\n else:\n streamNum = 0\n assert streamNum == len(self.encoders) - 1\n\n def statistics(self):\n self.print1stat('encode_duration', self.times_encode)\n self.print1stat('pointcount', self.pointcounts)\n if hasattr(self.sink, 'statistics'):\n self.sink.statistics()\n\n def print1stat(self, name, values, isInt=False):\n count = len(values)\n if count == 0:\n print('encoder: {}: count=0'.format(name))\n return\n minValue = min(values)\n maxValue = max(values)\n avgValue = sum(values) / count\n if isInt:\n fmtstring = (\n 'encoder: {}: count={}, average={:.3f}, min={:d}, max={:d}')\n else:\n fmtstring = (\n 'encoder: {}: count={}, average={:.3f}, min={:.3f}, max={:.3f}'\n )\n print(fmtstring.format(name, count, avgValue, minValue, maxValue))\n\n\ndef cwipc_sink_encoder(sink: cwipc_rawsink_abstract, verbose: bool=False,\n nodrop: bool=False) ->cwipc_sink_abstract:\n \"\"\"Create a cwipc_sink object that compresses pointclouds and forward them to a rawsink.\"\"\"\n if cwipc.codec == None:\n raise RuntimeError(\n 'cwipc_sink_encoder: requires cwipc.codec with is not available')\n return _Sink_Encoder(sink, verbose=verbose, nodrop=nodrop)\n", "<import token>\n\n\nclass _Sink_Encoder(threading.Thread, cwipc_sink_abstract):\n \"\"\"A pointcloud sink that compresses pointclouds and forwards them to a rawsink.\"\"\"\n FOURCC = 'cwi1'\n SELECT_TIMEOUT = 0.1\n QUEUE_FULL_TIMEOUT = 0.001\n sink: cwipc_rawsink_abstract\n input_queue: queue.Queue[cwipc.cwipc_wrapper]\n pointcounts: List[int]\n tiledescriptions: List[cwipc.cwipc_tileinfo_pythonic]\n encoder_group: Optional[cwipc.codec.cwipc_encodergroup_wrapper]\n encoders: List[cwipc.codec.cwipc_encoder_wrapper]\n times_encode: List[float]\n\n def __init__(self, sink: cwipc_rawsink_abstract, verbose: bool=False,\n nodrop: bool=False):\n threading.Thread.__init__(self)\n self.name = 'cwipc_util._Sink_Encoder'\n self.sink = sink\n self.sink.set_fourcc(self.FOURCC)\n self.producer = None\n self.nodrop = nodrop\n self.input_queue = queue.Queue(maxsize=2)\n self.verbose = verbose\n self.nodrop = nodrop\n self.stopped = False\n self.started = False\n self.times_encode = []\n self.pointcounts = []\n self.encoder_group = None\n self.encoders = []\n self.tiledescriptions = [{}]\n self.octree_bits = None\n self.jpeg_quality = None\n\n def set_encoder_params(self, tiles: Optional[List[cwipc.\n cwipc_tileinfo_pythonic]]=None, octree_bits: Optional[int]=None,\n jpeg_quality: Optional[int]=None) ->None:\n if tiles == None:\n tiles = [{}]\n self.tiledescriptions = tiles\n self.octree_bits = octree_bits\n self.jpeg_quality = jpeg_quality\n\n def start(self) ->None:\n self._init_encoders()\n threading.Thread.start(self)\n self.sink.start()\n self.started = True\n\n def stop(self) ->None:\n if self.verbose:\n print(f'encoder: stopping thread')\n self.stopped = True\n self.sink.stop()\n if self.started:\n self.join()\n\n def set_producer(self, producer: Any) ->None:\n self.producer = producer\n self.sink.set_producer(producer)\n\n def is_alive(self):\n return not self.stopped\n\n def run(self):\n assert self.encoder_group\n if self.verbose:\n print(f'encoder: thread started')\n try:\n while (not self.stopped and self.producer and self.producer.\n is_alive()):\n pc = self.input_queue.get()\n if not pc:\n print(f'encoder: get() returned None')\n continue\n self.pointcounts.append(pc.count())\n t1 = time.time()\n self.encoder_group.feed(pc)\n packets: List[bytearray] = []\n for i in range(len(self.encoders)):\n got_data = self.encoders[i].available(True)\n assert got_data\n cpc = self.encoders[i].get_bytes()\n packets.append(cpc)\n t2 = time.time()\n if len(packets) == 1:\n self.sink.feed(packets[0])\n else:\n for i in range(len(packets)):\n self.sink.feed(packets[i], stream_index=i)\n pc.free()\n self.times_encode.append(t2 - t1)\n finally:\n self.stopped = True\n if self.verbose:\n print(f'encoder: thread stopping')\n\n def feed(self, pc: cwipc.cwipc_wrapper) ->None:\n try:\n if self.nodrop:\n self.input_queue.put(pc)\n else:\n self.input_queue.put(pc, timeout=self.QUEUE_FULL_TIMEOUT)\n except queue.Full:\n if self.verbose:\n print(f'encoder: queue full, drop pointcloud')\n pc.free()\n\n def _init_encoders(self):\n if not self.octree_bits:\n self.octree_bits = 9\n if type(self.octree_bits) != type([]):\n self.octree_bits = [self.octree_bits]\n if not self.jpeg_quality:\n self.jpeg_quality = 85\n if type(self.jpeg_quality) != type([]):\n self.jpeg_quality = [self.jpeg_quality]\n voxelsize = 0\n if self.verbose:\n print(\n f'encoder: creating {len(self.tiledescriptions) * len(self.octree_bits) * len(self.jpeg_quality)} encoders/streams'\n )\n self.encoder_group = cwipc.codec.cwipc_new_encodergroup()\n for tile in range(len(self.tiledescriptions)):\n for octree_bits in self.octree_bits:\n for jpeg_quality in self.jpeg_quality:\n srctile = self.tiledescriptions[tile].get('ncamera', tile)\n encparams = cwipc.codec.cwipc_encoder_params(False, 1, \n 1.0, octree_bits, jpeg_quality, 16, srctile, voxelsize)\n encoder = self.encoder_group.addencoder(params=encparams)\n self.encoders.append(encoder)\n if hasattr(self.sink, 'add_streamDesc'):\n if not 'normal' in self.tiledescriptions[tile]:\n print(\n f'encoder: warning: tile {tile} description has no normal vector: {self.tiledescriptions[tile]}'\n )\n normal = self.tiledescriptions[tile].get('normal',\n dict(x=0, y=0, z=0))\n streamNum = self.sink.add_streamDesc(tile, normal[\n 'x'], normal['y'], normal['z'])\n if self.verbose:\n print(\n f'encoder: streamNum={streamNum}, tile={tile}, srctile={srctile}, normal={normal}, octree_bits={octree_bits}, jpeg_quality={jpeg_quality}'\n )\n else:\n streamNum = 0\n assert streamNum == len(self.encoders) - 1\n\n def statistics(self):\n self.print1stat('encode_duration', self.times_encode)\n self.print1stat('pointcount', self.pointcounts)\n if hasattr(self.sink, 'statistics'):\n self.sink.statistics()\n\n def print1stat(self, name, values, isInt=False):\n count = len(values)\n if count == 0:\n print('encoder: {}: count=0'.format(name))\n return\n minValue = min(values)\n maxValue = max(values)\n avgValue = sum(values) / count\n if isInt:\n fmtstring = (\n 'encoder: {}: count={}, average={:.3f}, min={:d}, max={:d}')\n else:\n fmtstring = (\n 'encoder: {}: count={}, average={:.3f}, min={:.3f}, max={:.3f}'\n )\n print(fmtstring.format(name, count, avgValue, minValue, maxValue))\n\n\ndef cwipc_sink_encoder(sink: cwipc_rawsink_abstract, verbose: bool=False,\n nodrop: bool=False) ->cwipc_sink_abstract:\n \"\"\"Create a cwipc_sink object that compresses pointclouds and forward them to a rawsink.\"\"\"\n if cwipc.codec == None:\n raise RuntimeError(\n 'cwipc_sink_encoder: requires cwipc.codec with is not available')\n return _Sink_Encoder(sink, verbose=verbose, nodrop=nodrop)\n", "<import token>\n\n\nclass _Sink_Encoder(threading.Thread, cwipc_sink_abstract):\n \"\"\"A pointcloud sink that compresses pointclouds and forwards them to a rawsink.\"\"\"\n FOURCC = 'cwi1'\n SELECT_TIMEOUT = 0.1\n QUEUE_FULL_TIMEOUT = 0.001\n sink: cwipc_rawsink_abstract\n input_queue: queue.Queue[cwipc.cwipc_wrapper]\n pointcounts: List[int]\n tiledescriptions: List[cwipc.cwipc_tileinfo_pythonic]\n encoder_group: Optional[cwipc.codec.cwipc_encodergroup_wrapper]\n encoders: List[cwipc.codec.cwipc_encoder_wrapper]\n times_encode: List[float]\n\n def __init__(self, sink: cwipc_rawsink_abstract, verbose: bool=False,\n nodrop: bool=False):\n threading.Thread.__init__(self)\n self.name = 'cwipc_util._Sink_Encoder'\n self.sink = sink\n self.sink.set_fourcc(self.FOURCC)\n self.producer = None\n self.nodrop = nodrop\n self.input_queue = queue.Queue(maxsize=2)\n self.verbose = verbose\n self.nodrop = nodrop\n self.stopped = False\n self.started = False\n self.times_encode = []\n self.pointcounts = []\n self.encoder_group = None\n self.encoders = []\n self.tiledescriptions = [{}]\n self.octree_bits = None\n self.jpeg_quality = None\n\n def set_encoder_params(self, tiles: Optional[List[cwipc.\n cwipc_tileinfo_pythonic]]=None, octree_bits: Optional[int]=None,\n jpeg_quality: Optional[int]=None) ->None:\n if tiles == None:\n tiles = [{}]\n self.tiledescriptions = tiles\n self.octree_bits = octree_bits\n self.jpeg_quality = jpeg_quality\n\n def start(self) ->None:\n self._init_encoders()\n threading.Thread.start(self)\n self.sink.start()\n self.started = True\n\n def stop(self) ->None:\n if self.verbose:\n print(f'encoder: stopping thread')\n self.stopped = True\n self.sink.stop()\n if self.started:\n self.join()\n\n def set_producer(self, producer: Any) ->None:\n self.producer = producer\n self.sink.set_producer(producer)\n\n def is_alive(self):\n return not self.stopped\n\n def run(self):\n assert self.encoder_group\n if self.verbose:\n print(f'encoder: thread started')\n try:\n while (not self.stopped and self.producer and self.producer.\n is_alive()):\n pc = self.input_queue.get()\n if not pc:\n print(f'encoder: get() returned None')\n continue\n self.pointcounts.append(pc.count())\n t1 = time.time()\n self.encoder_group.feed(pc)\n packets: List[bytearray] = []\n for i in range(len(self.encoders)):\n got_data = self.encoders[i].available(True)\n assert got_data\n cpc = self.encoders[i].get_bytes()\n packets.append(cpc)\n t2 = time.time()\n if len(packets) == 1:\n self.sink.feed(packets[0])\n else:\n for i in range(len(packets)):\n self.sink.feed(packets[i], stream_index=i)\n pc.free()\n self.times_encode.append(t2 - t1)\n finally:\n self.stopped = True\n if self.verbose:\n print(f'encoder: thread stopping')\n\n def feed(self, pc: cwipc.cwipc_wrapper) ->None:\n try:\n if self.nodrop:\n self.input_queue.put(pc)\n else:\n self.input_queue.put(pc, timeout=self.QUEUE_FULL_TIMEOUT)\n except queue.Full:\n if self.verbose:\n print(f'encoder: queue full, drop pointcloud')\n pc.free()\n\n def _init_encoders(self):\n if not self.octree_bits:\n self.octree_bits = 9\n if type(self.octree_bits) != type([]):\n self.octree_bits = [self.octree_bits]\n if not self.jpeg_quality:\n self.jpeg_quality = 85\n if type(self.jpeg_quality) != type([]):\n self.jpeg_quality = [self.jpeg_quality]\n voxelsize = 0\n if self.verbose:\n print(\n f'encoder: creating {len(self.tiledescriptions) * len(self.octree_bits) * len(self.jpeg_quality)} encoders/streams'\n )\n self.encoder_group = cwipc.codec.cwipc_new_encodergroup()\n for tile in range(len(self.tiledescriptions)):\n for octree_bits in self.octree_bits:\n for jpeg_quality in self.jpeg_quality:\n srctile = self.tiledescriptions[tile].get('ncamera', tile)\n encparams = cwipc.codec.cwipc_encoder_params(False, 1, \n 1.0, octree_bits, jpeg_quality, 16, srctile, voxelsize)\n encoder = self.encoder_group.addencoder(params=encparams)\n self.encoders.append(encoder)\n if hasattr(self.sink, 'add_streamDesc'):\n if not 'normal' in self.tiledescriptions[tile]:\n print(\n f'encoder: warning: tile {tile} description has no normal vector: {self.tiledescriptions[tile]}'\n )\n normal = self.tiledescriptions[tile].get('normal',\n dict(x=0, y=0, z=0))\n streamNum = self.sink.add_streamDesc(tile, normal[\n 'x'], normal['y'], normal['z'])\n if self.verbose:\n print(\n f'encoder: streamNum={streamNum}, tile={tile}, srctile={srctile}, normal={normal}, octree_bits={octree_bits}, jpeg_quality={jpeg_quality}'\n )\n else:\n streamNum = 0\n assert streamNum == len(self.encoders) - 1\n\n def statistics(self):\n self.print1stat('encode_duration', self.times_encode)\n self.print1stat('pointcount', self.pointcounts)\n if hasattr(self.sink, 'statistics'):\n self.sink.statistics()\n\n def print1stat(self, name, values, isInt=False):\n count = len(values)\n if count == 0:\n print('encoder: {}: count=0'.format(name))\n return\n minValue = min(values)\n maxValue = max(values)\n avgValue = sum(values) / count\n if isInt:\n fmtstring = (\n 'encoder: {}: count={}, average={:.3f}, min={:d}, max={:d}')\n else:\n fmtstring = (\n 'encoder: {}: count={}, average={:.3f}, min={:.3f}, max={:.3f}'\n )\n print(fmtstring.format(name, count, avgValue, minValue, maxValue))\n\n\n<function token>\n", "<import token>\n\n\nclass _Sink_Encoder(threading.Thread, cwipc_sink_abstract):\n <docstring token>\n FOURCC = 'cwi1'\n SELECT_TIMEOUT = 0.1\n QUEUE_FULL_TIMEOUT = 0.001\n sink: cwipc_rawsink_abstract\n input_queue: queue.Queue[cwipc.cwipc_wrapper]\n pointcounts: List[int]\n tiledescriptions: List[cwipc.cwipc_tileinfo_pythonic]\n encoder_group: Optional[cwipc.codec.cwipc_encodergroup_wrapper]\n encoders: List[cwipc.codec.cwipc_encoder_wrapper]\n times_encode: List[float]\n\n def __init__(self, sink: cwipc_rawsink_abstract, verbose: bool=False,\n nodrop: bool=False):\n threading.Thread.__init__(self)\n self.name = 'cwipc_util._Sink_Encoder'\n self.sink = sink\n self.sink.set_fourcc(self.FOURCC)\n self.producer = None\n self.nodrop = nodrop\n self.input_queue = queue.Queue(maxsize=2)\n self.verbose = verbose\n self.nodrop = nodrop\n self.stopped = False\n self.started = False\n self.times_encode = []\n self.pointcounts = []\n self.encoder_group = None\n self.encoders = []\n self.tiledescriptions = [{}]\n self.octree_bits = None\n self.jpeg_quality = None\n\n def set_encoder_params(self, tiles: Optional[List[cwipc.\n cwipc_tileinfo_pythonic]]=None, octree_bits: Optional[int]=None,\n jpeg_quality: Optional[int]=None) ->None:\n if tiles == None:\n tiles = [{}]\n self.tiledescriptions = tiles\n self.octree_bits = octree_bits\n self.jpeg_quality = jpeg_quality\n\n def start(self) ->None:\n self._init_encoders()\n threading.Thread.start(self)\n self.sink.start()\n self.started = True\n\n def stop(self) ->None:\n if self.verbose:\n print(f'encoder: stopping thread')\n self.stopped = True\n self.sink.stop()\n if self.started:\n self.join()\n\n def set_producer(self, producer: Any) ->None:\n self.producer = producer\n self.sink.set_producer(producer)\n\n def is_alive(self):\n return not self.stopped\n\n def run(self):\n assert self.encoder_group\n if self.verbose:\n print(f'encoder: thread started')\n try:\n while (not self.stopped and self.producer and self.producer.\n is_alive()):\n pc = self.input_queue.get()\n if not pc:\n print(f'encoder: get() returned None')\n continue\n self.pointcounts.append(pc.count())\n t1 = time.time()\n self.encoder_group.feed(pc)\n packets: List[bytearray] = []\n for i in range(len(self.encoders)):\n got_data = self.encoders[i].available(True)\n assert got_data\n cpc = self.encoders[i].get_bytes()\n packets.append(cpc)\n t2 = time.time()\n if len(packets) == 1:\n self.sink.feed(packets[0])\n else:\n for i in range(len(packets)):\n self.sink.feed(packets[i], stream_index=i)\n pc.free()\n self.times_encode.append(t2 - t1)\n finally:\n self.stopped = True\n if self.verbose:\n print(f'encoder: thread stopping')\n\n def feed(self, pc: cwipc.cwipc_wrapper) ->None:\n try:\n if self.nodrop:\n self.input_queue.put(pc)\n else:\n self.input_queue.put(pc, timeout=self.QUEUE_FULL_TIMEOUT)\n except queue.Full:\n if self.verbose:\n print(f'encoder: queue full, drop pointcloud')\n pc.free()\n\n def _init_encoders(self):\n if not self.octree_bits:\n self.octree_bits = 9\n if type(self.octree_bits) != type([]):\n self.octree_bits = [self.octree_bits]\n if not self.jpeg_quality:\n self.jpeg_quality = 85\n if type(self.jpeg_quality) != type([]):\n self.jpeg_quality = [self.jpeg_quality]\n voxelsize = 0\n if self.verbose:\n print(\n f'encoder: creating {len(self.tiledescriptions) * len(self.octree_bits) * len(self.jpeg_quality)} encoders/streams'\n )\n self.encoder_group = cwipc.codec.cwipc_new_encodergroup()\n for tile in range(len(self.tiledescriptions)):\n for octree_bits in self.octree_bits:\n for jpeg_quality in self.jpeg_quality:\n srctile = self.tiledescriptions[tile].get('ncamera', tile)\n encparams = cwipc.codec.cwipc_encoder_params(False, 1, \n 1.0, octree_bits, jpeg_quality, 16, srctile, voxelsize)\n encoder = self.encoder_group.addencoder(params=encparams)\n self.encoders.append(encoder)\n if hasattr(self.sink, 'add_streamDesc'):\n if not 'normal' in self.tiledescriptions[tile]:\n print(\n f'encoder: warning: tile {tile} description has no normal vector: {self.tiledescriptions[tile]}'\n )\n normal = self.tiledescriptions[tile].get('normal',\n dict(x=0, y=0, z=0))\n streamNum = self.sink.add_streamDesc(tile, normal[\n 'x'], normal['y'], normal['z'])\n if self.verbose:\n print(\n f'encoder: streamNum={streamNum}, tile={tile}, srctile={srctile}, normal={normal}, octree_bits={octree_bits}, jpeg_quality={jpeg_quality}'\n )\n else:\n streamNum = 0\n assert streamNum == len(self.encoders) - 1\n\n def statistics(self):\n self.print1stat('encode_duration', self.times_encode)\n self.print1stat('pointcount', self.pointcounts)\n if hasattr(self.sink, 'statistics'):\n self.sink.statistics()\n\n def print1stat(self, name, values, isInt=False):\n count = len(values)\n if count == 0:\n print('encoder: {}: count=0'.format(name))\n return\n minValue = min(values)\n maxValue = max(values)\n avgValue = sum(values) / count\n if isInt:\n fmtstring = (\n 'encoder: {}: count={}, average={:.3f}, min={:d}, max={:d}')\n else:\n fmtstring = (\n 'encoder: {}: count={}, average={:.3f}, min={:.3f}, max={:.3f}'\n )\n print(fmtstring.format(name, count, avgValue, minValue, maxValue))\n\n\n<function token>\n", "<import token>\n\n\nclass _Sink_Encoder(threading.Thread, cwipc_sink_abstract):\n <docstring token>\n <assignment token>\n <assignment token>\n <assignment token>\n sink: cwipc_rawsink_abstract\n input_queue: queue.Queue[cwipc.cwipc_wrapper]\n pointcounts: List[int]\n tiledescriptions: List[cwipc.cwipc_tileinfo_pythonic]\n encoder_group: Optional[cwipc.codec.cwipc_encodergroup_wrapper]\n encoders: List[cwipc.codec.cwipc_encoder_wrapper]\n times_encode: List[float]\n\n def __init__(self, sink: cwipc_rawsink_abstract, verbose: bool=False,\n nodrop: bool=False):\n threading.Thread.__init__(self)\n self.name = 'cwipc_util._Sink_Encoder'\n self.sink = sink\n self.sink.set_fourcc(self.FOURCC)\n self.producer = None\n self.nodrop = nodrop\n self.input_queue = queue.Queue(maxsize=2)\n self.verbose = verbose\n self.nodrop = nodrop\n self.stopped = False\n self.started = False\n self.times_encode = []\n self.pointcounts = []\n self.encoder_group = None\n self.encoders = []\n self.tiledescriptions = [{}]\n self.octree_bits = None\n self.jpeg_quality = None\n\n def set_encoder_params(self, tiles: Optional[List[cwipc.\n cwipc_tileinfo_pythonic]]=None, octree_bits: Optional[int]=None,\n jpeg_quality: Optional[int]=None) ->None:\n if tiles == None:\n tiles = [{}]\n self.tiledescriptions = tiles\n self.octree_bits = octree_bits\n self.jpeg_quality = jpeg_quality\n\n def start(self) ->None:\n self._init_encoders()\n threading.Thread.start(self)\n self.sink.start()\n self.started = True\n\n def stop(self) ->None:\n if self.verbose:\n print(f'encoder: stopping thread')\n self.stopped = True\n self.sink.stop()\n if self.started:\n self.join()\n\n def set_producer(self, producer: Any) ->None:\n self.producer = producer\n self.sink.set_producer(producer)\n\n def is_alive(self):\n return not self.stopped\n\n def run(self):\n assert self.encoder_group\n if self.verbose:\n print(f'encoder: thread started')\n try:\n while (not self.stopped and self.producer and self.producer.\n is_alive()):\n pc = self.input_queue.get()\n if not pc:\n print(f'encoder: get() returned None')\n continue\n self.pointcounts.append(pc.count())\n t1 = time.time()\n self.encoder_group.feed(pc)\n packets: List[bytearray] = []\n for i in range(len(self.encoders)):\n got_data = self.encoders[i].available(True)\n assert got_data\n cpc = self.encoders[i].get_bytes()\n packets.append(cpc)\n t2 = time.time()\n if len(packets) == 1:\n self.sink.feed(packets[0])\n else:\n for i in range(len(packets)):\n self.sink.feed(packets[i], stream_index=i)\n pc.free()\n self.times_encode.append(t2 - t1)\n finally:\n self.stopped = True\n if self.verbose:\n print(f'encoder: thread stopping')\n\n def feed(self, pc: cwipc.cwipc_wrapper) ->None:\n try:\n if self.nodrop:\n self.input_queue.put(pc)\n else:\n self.input_queue.put(pc, timeout=self.QUEUE_FULL_TIMEOUT)\n except queue.Full:\n if self.verbose:\n print(f'encoder: queue full, drop pointcloud')\n pc.free()\n\n def _init_encoders(self):\n if not self.octree_bits:\n self.octree_bits = 9\n if type(self.octree_bits) != type([]):\n self.octree_bits = [self.octree_bits]\n if not self.jpeg_quality:\n self.jpeg_quality = 85\n if type(self.jpeg_quality) != type([]):\n self.jpeg_quality = [self.jpeg_quality]\n voxelsize = 0\n if self.verbose:\n print(\n f'encoder: creating {len(self.tiledescriptions) * len(self.octree_bits) * len(self.jpeg_quality)} encoders/streams'\n )\n self.encoder_group = cwipc.codec.cwipc_new_encodergroup()\n for tile in range(len(self.tiledescriptions)):\n for octree_bits in self.octree_bits:\n for jpeg_quality in self.jpeg_quality:\n srctile = self.tiledescriptions[tile].get('ncamera', tile)\n encparams = cwipc.codec.cwipc_encoder_params(False, 1, \n 1.0, octree_bits, jpeg_quality, 16, srctile, voxelsize)\n encoder = self.encoder_group.addencoder(params=encparams)\n self.encoders.append(encoder)\n if hasattr(self.sink, 'add_streamDesc'):\n if not 'normal' in self.tiledescriptions[tile]:\n print(\n f'encoder: warning: tile {tile} description has no normal vector: {self.tiledescriptions[tile]}'\n )\n normal = self.tiledescriptions[tile].get('normal',\n dict(x=0, y=0, z=0))\n streamNum = self.sink.add_streamDesc(tile, normal[\n 'x'], normal['y'], normal['z'])\n if self.verbose:\n print(\n f'encoder: streamNum={streamNum}, tile={tile}, srctile={srctile}, normal={normal}, octree_bits={octree_bits}, jpeg_quality={jpeg_quality}'\n )\n else:\n streamNum = 0\n assert streamNum == len(self.encoders) - 1\n\n def statistics(self):\n self.print1stat('encode_duration', self.times_encode)\n self.print1stat('pointcount', self.pointcounts)\n if hasattr(self.sink, 'statistics'):\n self.sink.statistics()\n\n def print1stat(self, name, values, isInt=False):\n count = len(values)\n if count == 0:\n print('encoder: {}: count=0'.format(name))\n return\n minValue = min(values)\n maxValue = max(values)\n avgValue = sum(values) / count\n if isInt:\n fmtstring = (\n 'encoder: {}: count={}, average={:.3f}, min={:d}, max={:d}')\n else:\n fmtstring = (\n 'encoder: {}: count={}, average={:.3f}, min={:.3f}, max={:.3f}'\n )\n print(fmtstring.format(name, count, avgValue, minValue, maxValue))\n\n\n<function token>\n", "<import token>\n\n\nclass _Sink_Encoder(threading.Thread, cwipc_sink_abstract):\n <docstring token>\n <assignment token>\n <assignment token>\n <assignment token>\n sink: cwipc_rawsink_abstract\n input_queue: queue.Queue[cwipc.cwipc_wrapper]\n pointcounts: List[int]\n tiledescriptions: List[cwipc.cwipc_tileinfo_pythonic]\n encoder_group: Optional[cwipc.codec.cwipc_encodergroup_wrapper]\n encoders: List[cwipc.codec.cwipc_encoder_wrapper]\n times_encode: List[float]\n\n def __init__(self, sink: cwipc_rawsink_abstract, verbose: bool=False,\n nodrop: bool=False):\n threading.Thread.__init__(self)\n self.name = 'cwipc_util._Sink_Encoder'\n self.sink = sink\n self.sink.set_fourcc(self.FOURCC)\n self.producer = None\n self.nodrop = nodrop\n self.input_queue = queue.Queue(maxsize=2)\n self.verbose = verbose\n self.nodrop = nodrop\n self.stopped = False\n self.started = False\n self.times_encode = []\n self.pointcounts = []\n self.encoder_group = None\n self.encoders = []\n self.tiledescriptions = [{}]\n self.octree_bits = None\n self.jpeg_quality = None\n <function token>\n\n def start(self) ->None:\n self._init_encoders()\n threading.Thread.start(self)\n self.sink.start()\n self.started = True\n\n def stop(self) ->None:\n if self.verbose:\n print(f'encoder: stopping thread')\n self.stopped = True\n self.sink.stop()\n if self.started:\n self.join()\n\n def set_producer(self, producer: Any) ->None:\n self.producer = producer\n self.sink.set_producer(producer)\n\n def is_alive(self):\n return not self.stopped\n\n def run(self):\n assert self.encoder_group\n if self.verbose:\n print(f'encoder: thread started')\n try:\n while (not self.stopped and self.producer and self.producer.\n is_alive()):\n pc = self.input_queue.get()\n if not pc:\n print(f'encoder: get() returned None')\n continue\n self.pointcounts.append(pc.count())\n t1 = time.time()\n self.encoder_group.feed(pc)\n packets: List[bytearray] = []\n for i in range(len(self.encoders)):\n got_data = self.encoders[i].available(True)\n assert got_data\n cpc = self.encoders[i].get_bytes()\n packets.append(cpc)\n t2 = time.time()\n if len(packets) == 1:\n self.sink.feed(packets[0])\n else:\n for i in range(len(packets)):\n self.sink.feed(packets[i], stream_index=i)\n pc.free()\n self.times_encode.append(t2 - t1)\n finally:\n self.stopped = True\n if self.verbose:\n print(f'encoder: thread stopping')\n\n def feed(self, pc: cwipc.cwipc_wrapper) ->None:\n try:\n if self.nodrop:\n self.input_queue.put(pc)\n else:\n self.input_queue.put(pc, timeout=self.QUEUE_FULL_TIMEOUT)\n except queue.Full:\n if self.verbose:\n print(f'encoder: queue full, drop pointcloud')\n pc.free()\n\n def _init_encoders(self):\n if not self.octree_bits:\n self.octree_bits = 9\n if type(self.octree_bits) != type([]):\n self.octree_bits = [self.octree_bits]\n if not self.jpeg_quality:\n self.jpeg_quality = 85\n if type(self.jpeg_quality) != type([]):\n self.jpeg_quality = [self.jpeg_quality]\n voxelsize = 0\n if self.verbose:\n print(\n f'encoder: creating {len(self.tiledescriptions) * len(self.octree_bits) * len(self.jpeg_quality)} encoders/streams'\n )\n self.encoder_group = cwipc.codec.cwipc_new_encodergroup()\n for tile in range(len(self.tiledescriptions)):\n for octree_bits in self.octree_bits:\n for jpeg_quality in self.jpeg_quality:\n srctile = self.tiledescriptions[tile].get('ncamera', tile)\n encparams = cwipc.codec.cwipc_encoder_params(False, 1, \n 1.0, octree_bits, jpeg_quality, 16, srctile, voxelsize)\n encoder = self.encoder_group.addencoder(params=encparams)\n self.encoders.append(encoder)\n if hasattr(self.sink, 'add_streamDesc'):\n if not 'normal' in self.tiledescriptions[tile]:\n print(\n f'encoder: warning: tile {tile} description has no normal vector: {self.tiledescriptions[tile]}'\n )\n normal = self.tiledescriptions[tile].get('normal',\n dict(x=0, y=0, z=0))\n streamNum = self.sink.add_streamDesc(tile, normal[\n 'x'], normal['y'], normal['z'])\n if self.verbose:\n print(\n f'encoder: streamNum={streamNum}, tile={tile}, srctile={srctile}, normal={normal}, octree_bits={octree_bits}, jpeg_quality={jpeg_quality}'\n )\n else:\n streamNum = 0\n assert streamNum == len(self.encoders) - 1\n\n def statistics(self):\n self.print1stat('encode_duration', self.times_encode)\n self.print1stat('pointcount', self.pointcounts)\n if hasattr(self.sink, 'statistics'):\n self.sink.statistics()\n\n def print1stat(self, name, values, isInt=False):\n count = len(values)\n if count == 0:\n print('encoder: {}: count=0'.format(name))\n return\n minValue = min(values)\n maxValue = max(values)\n avgValue = sum(values) / count\n if isInt:\n fmtstring = (\n 'encoder: {}: count={}, average={:.3f}, min={:d}, max={:d}')\n else:\n fmtstring = (\n 'encoder: {}: count={}, average={:.3f}, min={:.3f}, max={:.3f}'\n )\n print(fmtstring.format(name, count, avgValue, minValue, maxValue))\n\n\n<function token>\n", "<import token>\n\n\nclass _Sink_Encoder(threading.Thread, cwipc_sink_abstract):\n <docstring token>\n <assignment token>\n <assignment token>\n <assignment token>\n sink: cwipc_rawsink_abstract\n input_queue: queue.Queue[cwipc.cwipc_wrapper]\n pointcounts: List[int]\n tiledescriptions: List[cwipc.cwipc_tileinfo_pythonic]\n encoder_group: Optional[cwipc.codec.cwipc_encodergroup_wrapper]\n encoders: List[cwipc.codec.cwipc_encoder_wrapper]\n times_encode: List[float]\n\n def __init__(self, sink: cwipc_rawsink_abstract, verbose: bool=False,\n nodrop: bool=False):\n threading.Thread.__init__(self)\n self.name = 'cwipc_util._Sink_Encoder'\n self.sink = sink\n self.sink.set_fourcc(self.FOURCC)\n self.producer = None\n self.nodrop = nodrop\n self.input_queue = queue.Queue(maxsize=2)\n self.verbose = verbose\n self.nodrop = nodrop\n self.stopped = False\n self.started = False\n self.times_encode = []\n self.pointcounts = []\n self.encoder_group = None\n self.encoders = []\n self.tiledescriptions = [{}]\n self.octree_bits = None\n self.jpeg_quality = None\n <function token>\n\n def start(self) ->None:\n self._init_encoders()\n threading.Thread.start(self)\n self.sink.start()\n self.started = True\n\n def stop(self) ->None:\n if self.verbose:\n print(f'encoder: stopping thread')\n self.stopped = True\n self.sink.stop()\n if self.started:\n self.join()\n <function token>\n\n def is_alive(self):\n return not self.stopped\n\n def run(self):\n assert self.encoder_group\n if self.verbose:\n print(f'encoder: thread started')\n try:\n while (not self.stopped and self.producer and self.producer.\n is_alive()):\n pc = self.input_queue.get()\n if not pc:\n print(f'encoder: get() returned None')\n continue\n self.pointcounts.append(pc.count())\n t1 = time.time()\n self.encoder_group.feed(pc)\n packets: List[bytearray] = []\n for i in range(len(self.encoders)):\n got_data = self.encoders[i].available(True)\n assert got_data\n cpc = self.encoders[i].get_bytes()\n packets.append(cpc)\n t2 = time.time()\n if len(packets) == 1:\n self.sink.feed(packets[0])\n else:\n for i in range(len(packets)):\n self.sink.feed(packets[i], stream_index=i)\n pc.free()\n self.times_encode.append(t2 - t1)\n finally:\n self.stopped = True\n if self.verbose:\n print(f'encoder: thread stopping')\n\n def feed(self, pc: cwipc.cwipc_wrapper) ->None:\n try:\n if self.nodrop:\n self.input_queue.put(pc)\n else:\n self.input_queue.put(pc, timeout=self.QUEUE_FULL_TIMEOUT)\n except queue.Full:\n if self.verbose:\n print(f'encoder: queue full, drop pointcloud')\n pc.free()\n\n def _init_encoders(self):\n if not self.octree_bits:\n self.octree_bits = 9\n if type(self.octree_bits) != type([]):\n self.octree_bits = [self.octree_bits]\n if not self.jpeg_quality:\n self.jpeg_quality = 85\n if type(self.jpeg_quality) != type([]):\n self.jpeg_quality = [self.jpeg_quality]\n voxelsize = 0\n if self.verbose:\n print(\n f'encoder: creating {len(self.tiledescriptions) * len(self.octree_bits) * len(self.jpeg_quality)} encoders/streams'\n )\n self.encoder_group = cwipc.codec.cwipc_new_encodergroup()\n for tile in range(len(self.tiledescriptions)):\n for octree_bits in self.octree_bits:\n for jpeg_quality in self.jpeg_quality:\n srctile = self.tiledescriptions[tile].get('ncamera', tile)\n encparams = cwipc.codec.cwipc_encoder_params(False, 1, \n 1.0, octree_bits, jpeg_quality, 16, srctile, voxelsize)\n encoder = self.encoder_group.addencoder(params=encparams)\n self.encoders.append(encoder)\n if hasattr(self.sink, 'add_streamDesc'):\n if not 'normal' in self.tiledescriptions[tile]:\n print(\n f'encoder: warning: tile {tile} description has no normal vector: {self.tiledescriptions[tile]}'\n )\n normal = self.tiledescriptions[tile].get('normal',\n dict(x=0, y=0, z=0))\n streamNum = self.sink.add_streamDesc(tile, normal[\n 'x'], normal['y'], normal['z'])\n if self.verbose:\n print(\n f'encoder: streamNum={streamNum}, tile={tile}, srctile={srctile}, normal={normal}, octree_bits={octree_bits}, jpeg_quality={jpeg_quality}'\n )\n else:\n streamNum = 0\n assert streamNum == len(self.encoders) - 1\n\n def statistics(self):\n self.print1stat('encode_duration', self.times_encode)\n self.print1stat('pointcount', self.pointcounts)\n if hasattr(self.sink, 'statistics'):\n self.sink.statistics()\n\n def print1stat(self, name, values, isInt=False):\n count = len(values)\n if count == 0:\n print('encoder: {}: count=0'.format(name))\n return\n minValue = min(values)\n maxValue = max(values)\n avgValue = sum(values) / count\n if isInt:\n fmtstring = (\n 'encoder: {}: count={}, average={:.3f}, min={:d}, max={:d}')\n else:\n fmtstring = (\n 'encoder: {}: count={}, average={:.3f}, min={:.3f}, max={:.3f}'\n )\n print(fmtstring.format(name, count, avgValue, minValue, maxValue))\n\n\n<function token>\n", "<import token>\n\n\nclass _Sink_Encoder(threading.Thread, cwipc_sink_abstract):\n <docstring token>\n <assignment token>\n <assignment token>\n <assignment token>\n sink: cwipc_rawsink_abstract\n input_queue: queue.Queue[cwipc.cwipc_wrapper]\n pointcounts: List[int]\n tiledescriptions: List[cwipc.cwipc_tileinfo_pythonic]\n encoder_group: Optional[cwipc.codec.cwipc_encodergroup_wrapper]\n encoders: List[cwipc.codec.cwipc_encoder_wrapper]\n times_encode: List[float]\n\n def __init__(self, sink: cwipc_rawsink_abstract, verbose: bool=False,\n nodrop: bool=False):\n threading.Thread.__init__(self)\n self.name = 'cwipc_util._Sink_Encoder'\n self.sink = sink\n self.sink.set_fourcc(self.FOURCC)\n self.producer = None\n self.nodrop = nodrop\n self.input_queue = queue.Queue(maxsize=2)\n self.verbose = verbose\n self.nodrop = nodrop\n self.stopped = False\n self.started = False\n self.times_encode = []\n self.pointcounts = []\n self.encoder_group = None\n self.encoders = []\n self.tiledescriptions = [{}]\n self.octree_bits = None\n self.jpeg_quality = None\n <function token>\n\n def start(self) ->None:\n self._init_encoders()\n threading.Thread.start(self)\n self.sink.start()\n self.started = True\n\n def stop(self) ->None:\n if self.verbose:\n print(f'encoder: stopping thread')\n self.stopped = True\n self.sink.stop()\n if self.started:\n self.join()\n <function token>\n\n def is_alive(self):\n return not self.stopped\n\n def run(self):\n assert self.encoder_group\n if self.verbose:\n print(f'encoder: thread started')\n try:\n while (not self.stopped and self.producer and self.producer.\n is_alive()):\n pc = self.input_queue.get()\n if not pc:\n print(f'encoder: get() returned None')\n continue\n self.pointcounts.append(pc.count())\n t1 = time.time()\n self.encoder_group.feed(pc)\n packets: List[bytearray] = []\n for i in range(len(self.encoders)):\n got_data = self.encoders[i].available(True)\n assert got_data\n cpc = self.encoders[i].get_bytes()\n packets.append(cpc)\n t2 = time.time()\n if len(packets) == 1:\n self.sink.feed(packets[0])\n else:\n for i in range(len(packets)):\n self.sink.feed(packets[i], stream_index=i)\n pc.free()\n self.times_encode.append(t2 - t1)\n finally:\n self.stopped = True\n if self.verbose:\n print(f'encoder: thread stopping')\n\n def feed(self, pc: cwipc.cwipc_wrapper) ->None:\n try:\n if self.nodrop:\n self.input_queue.put(pc)\n else:\n self.input_queue.put(pc, timeout=self.QUEUE_FULL_TIMEOUT)\n except queue.Full:\n if self.verbose:\n print(f'encoder: queue full, drop pointcloud')\n pc.free()\n\n def _init_encoders(self):\n if not self.octree_bits:\n self.octree_bits = 9\n if type(self.octree_bits) != type([]):\n self.octree_bits = [self.octree_bits]\n if not self.jpeg_quality:\n self.jpeg_quality = 85\n if type(self.jpeg_quality) != type([]):\n self.jpeg_quality = [self.jpeg_quality]\n voxelsize = 0\n if self.verbose:\n print(\n f'encoder: creating {len(self.tiledescriptions) * len(self.octree_bits) * len(self.jpeg_quality)} encoders/streams'\n )\n self.encoder_group = cwipc.codec.cwipc_new_encodergroup()\n for tile in range(len(self.tiledescriptions)):\n for octree_bits in self.octree_bits:\n for jpeg_quality in self.jpeg_quality:\n srctile = self.tiledescriptions[tile].get('ncamera', tile)\n encparams = cwipc.codec.cwipc_encoder_params(False, 1, \n 1.0, octree_bits, jpeg_quality, 16, srctile, voxelsize)\n encoder = self.encoder_group.addencoder(params=encparams)\n self.encoders.append(encoder)\n if hasattr(self.sink, 'add_streamDesc'):\n if not 'normal' in self.tiledescriptions[tile]:\n print(\n f'encoder: warning: tile {tile} description has no normal vector: {self.tiledescriptions[tile]}'\n )\n normal = self.tiledescriptions[tile].get('normal',\n dict(x=0, y=0, z=0))\n streamNum = self.sink.add_streamDesc(tile, normal[\n 'x'], normal['y'], normal['z'])\n if self.verbose:\n print(\n f'encoder: streamNum={streamNum}, tile={tile}, srctile={srctile}, normal={normal}, octree_bits={octree_bits}, jpeg_quality={jpeg_quality}'\n )\n else:\n streamNum = 0\n assert streamNum == len(self.encoders) - 1\n <function token>\n\n def print1stat(self, name, values, isInt=False):\n count = len(values)\n if count == 0:\n print('encoder: {}: count=0'.format(name))\n return\n minValue = min(values)\n maxValue = max(values)\n avgValue = sum(values) / count\n if isInt:\n fmtstring = (\n 'encoder: {}: count={}, average={:.3f}, min={:d}, max={:d}')\n else:\n fmtstring = (\n 'encoder: {}: count={}, average={:.3f}, min={:.3f}, max={:.3f}'\n )\n print(fmtstring.format(name, count, avgValue, minValue, maxValue))\n\n\n<function token>\n", "<import token>\n\n\nclass _Sink_Encoder(threading.Thread, cwipc_sink_abstract):\n <docstring token>\n <assignment token>\n <assignment token>\n <assignment token>\n sink: cwipc_rawsink_abstract\n input_queue: queue.Queue[cwipc.cwipc_wrapper]\n pointcounts: List[int]\n tiledescriptions: List[cwipc.cwipc_tileinfo_pythonic]\n encoder_group: Optional[cwipc.codec.cwipc_encodergroup_wrapper]\n encoders: List[cwipc.codec.cwipc_encoder_wrapper]\n times_encode: List[float]\n\n def __init__(self, sink: cwipc_rawsink_abstract, verbose: bool=False,\n nodrop: bool=False):\n threading.Thread.__init__(self)\n self.name = 'cwipc_util._Sink_Encoder'\n self.sink = sink\n self.sink.set_fourcc(self.FOURCC)\n self.producer = None\n self.nodrop = nodrop\n self.input_queue = queue.Queue(maxsize=2)\n self.verbose = verbose\n self.nodrop = nodrop\n self.stopped = False\n self.started = False\n self.times_encode = []\n self.pointcounts = []\n self.encoder_group = None\n self.encoders = []\n self.tiledescriptions = [{}]\n self.octree_bits = None\n self.jpeg_quality = None\n <function token>\n\n def start(self) ->None:\n self._init_encoders()\n threading.Thread.start(self)\n self.sink.start()\n self.started = True\n\n def stop(self) ->None:\n if self.verbose:\n print(f'encoder: stopping thread')\n self.stopped = True\n self.sink.stop()\n if self.started:\n self.join()\n <function token>\n <function token>\n\n def run(self):\n assert self.encoder_group\n if self.verbose:\n print(f'encoder: thread started')\n try:\n while (not self.stopped and self.producer and self.producer.\n is_alive()):\n pc = self.input_queue.get()\n if not pc:\n print(f'encoder: get() returned None')\n continue\n self.pointcounts.append(pc.count())\n t1 = time.time()\n self.encoder_group.feed(pc)\n packets: List[bytearray] = []\n for i in range(len(self.encoders)):\n got_data = self.encoders[i].available(True)\n assert got_data\n cpc = self.encoders[i].get_bytes()\n packets.append(cpc)\n t2 = time.time()\n if len(packets) == 1:\n self.sink.feed(packets[0])\n else:\n for i in range(len(packets)):\n self.sink.feed(packets[i], stream_index=i)\n pc.free()\n self.times_encode.append(t2 - t1)\n finally:\n self.stopped = True\n if self.verbose:\n print(f'encoder: thread stopping')\n\n def feed(self, pc: cwipc.cwipc_wrapper) ->None:\n try:\n if self.nodrop:\n self.input_queue.put(pc)\n else:\n self.input_queue.put(pc, timeout=self.QUEUE_FULL_TIMEOUT)\n except queue.Full:\n if self.verbose:\n print(f'encoder: queue full, drop pointcloud')\n pc.free()\n\n def _init_encoders(self):\n if not self.octree_bits:\n self.octree_bits = 9\n if type(self.octree_bits) != type([]):\n self.octree_bits = [self.octree_bits]\n if not self.jpeg_quality:\n self.jpeg_quality = 85\n if type(self.jpeg_quality) != type([]):\n self.jpeg_quality = [self.jpeg_quality]\n voxelsize = 0\n if self.verbose:\n print(\n f'encoder: creating {len(self.tiledescriptions) * len(self.octree_bits) * len(self.jpeg_quality)} encoders/streams'\n )\n self.encoder_group = cwipc.codec.cwipc_new_encodergroup()\n for tile in range(len(self.tiledescriptions)):\n for octree_bits in self.octree_bits:\n for jpeg_quality in self.jpeg_quality:\n srctile = self.tiledescriptions[tile].get('ncamera', tile)\n encparams = cwipc.codec.cwipc_encoder_params(False, 1, \n 1.0, octree_bits, jpeg_quality, 16, srctile, voxelsize)\n encoder = self.encoder_group.addencoder(params=encparams)\n self.encoders.append(encoder)\n if hasattr(self.sink, 'add_streamDesc'):\n if not 'normal' in self.tiledescriptions[tile]:\n print(\n f'encoder: warning: tile {tile} description has no normal vector: {self.tiledescriptions[tile]}'\n )\n normal = self.tiledescriptions[tile].get('normal',\n dict(x=0, y=0, z=0))\n streamNum = self.sink.add_streamDesc(tile, normal[\n 'x'], normal['y'], normal['z'])\n if self.verbose:\n print(\n f'encoder: streamNum={streamNum}, tile={tile}, srctile={srctile}, normal={normal}, octree_bits={octree_bits}, jpeg_quality={jpeg_quality}'\n )\n else:\n streamNum = 0\n assert streamNum == len(self.encoders) - 1\n <function token>\n\n def print1stat(self, name, values, isInt=False):\n count = len(values)\n if count == 0:\n print('encoder: {}: count=0'.format(name))\n return\n minValue = min(values)\n maxValue = max(values)\n avgValue = sum(values) / count\n if isInt:\n fmtstring = (\n 'encoder: {}: count={}, average={:.3f}, min={:d}, max={:d}')\n else:\n fmtstring = (\n 'encoder: {}: count={}, average={:.3f}, min={:.3f}, max={:.3f}'\n )\n print(fmtstring.format(name, count, avgValue, minValue, maxValue))\n\n\n<function token>\n", "<import token>\n\n\nclass _Sink_Encoder(threading.Thread, cwipc_sink_abstract):\n <docstring token>\n <assignment token>\n <assignment token>\n <assignment token>\n sink: cwipc_rawsink_abstract\n input_queue: queue.Queue[cwipc.cwipc_wrapper]\n pointcounts: List[int]\n tiledescriptions: List[cwipc.cwipc_tileinfo_pythonic]\n encoder_group: Optional[cwipc.codec.cwipc_encodergroup_wrapper]\n encoders: List[cwipc.codec.cwipc_encoder_wrapper]\n times_encode: List[float]\n <function token>\n <function token>\n\n def start(self) ->None:\n self._init_encoders()\n threading.Thread.start(self)\n self.sink.start()\n self.started = True\n\n def stop(self) ->None:\n if self.verbose:\n print(f'encoder: stopping thread')\n self.stopped = True\n self.sink.stop()\n if self.started:\n self.join()\n <function token>\n <function token>\n\n def run(self):\n assert self.encoder_group\n if self.verbose:\n print(f'encoder: thread started')\n try:\n while (not self.stopped and self.producer and self.producer.\n is_alive()):\n pc = self.input_queue.get()\n if not pc:\n print(f'encoder: get() returned None')\n continue\n self.pointcounts.append(pc.count())\n t1 = time.time()\n self.encoder_group.feed(pc)\n packets: List[bytearray] = []\n for i in range(len(self.encoders)):\n got_data = self.encoders[i].available(True)\n assert got_data\n cpc = self.encoders[i].get_bytes()\n packets.append(cpc)\n t2 = time.time()\n if len(packets) == 1:\n self.sink.feed(packets[0])\n else:\n for i in range(len(packets)):\n self.sink.feed(packets[i], stream_index=i)\n pc.free()\n self.times_encode.append(t2 - t1)\n finally:\n self.stopped = True\n if self.verbose:\n print(f'encoder: thread stopping')\n\n def feed(self, pc: cwipc.cwipc_wrapper) ->None:\n try:\n if self.nodrop:\n self.input_queue.put(pc)\n else:\n self.input_queue.put(pc, timeout=self.QUEUE_FULL_TIMEOUT)\n except queue.Full:\n if self.verbose:\n print(f'encoder: queue full, drop pointcloud')\n pc.free()\n\n def _init_encoders(self):\n if not self.octree_bits:\n self.octree_bits = 9\n if type(self.octree_bits) != type([]):\n self.octree_bits = [self.octree_bits]\n if not self.jpeg_quality:\n self.jpeg_quality = 85\n if type(self.jpeg_quality) != type([]):\n self.jpeg_quality = [self.jpeg_quality]\n voxelsize = 0\n if self.verbose:\n print(\n f'encoder: creating {len(self.tiledescriptions) * len(self.octree_bits) * len(self.jpeg_quality)} encoders/streams'\n )\n self.encoder_group = cwipc.codec.cwipc_new_encodergroup()\n for tile in range(len(self.tiledescriptions)):\n for octree_bits in self.octree_bits:\n for jpeg_quality in self.jpeg_quality:\n srctile = self.tiledescriptions[tile].get('ncamera', tile)\n encparams = cwipc.codec.cwipc_encoder_params(False, 1, \n 1.0, octree_bits, jpeg_quality, 16, srctile, voxelsize)\n encoder = self.encoder_group.addencoder(params=encparams)\n self.encoders.append(encoder)\n if hasattr(self.sink, 'add_streamDesc'):\n if not 'normal' in self.tiledescriptions[tile]:\n print(\n f'encoder: warning: tile {tile} description has no normal vector: {self.tiledescriptions[tile]}'\n )\n normal = self.tiledescriptions[tile].get('normal',\n dict(x=0, y=0, z=0))\n streamNum = self.sink.add_streamDesc(tile, normal[\n 'x'], normal['y'], normal['z'])\n if self.verbose:\n print(\n f'encoder: streamNum={streamNum}, tile={tile}, srctile={srctile}, normal={normal}, octree_bits={octree_bits}, jpeg_quality={jpeg_quality}'\n )\n else:\n streamNum = 0\n assert streamNum == len(self.encoders) - 1\n <function token>\n\n def print1stat(self, name, values, isInt=False):\n count = len(values)\n if count == 0:\n print('encoder: {}: count=0'.format(name))\n return\n minValue = min(values)\n maxValue = max(values)\n avgValue = sum(values) / count\n if isInt:\n fmtstring = (\n 'encoder: {}: count={}, average={:.3f}, min={:d}, max={:d}')\n else:\n fmtstring = (\n 'encoder: {}: count={}, average={:.3f}, min={:.3f}, max={:.3f}'\n )\n print(fmtstring.format(name, count, avgValue, minValue, maxValue))\n\n\n<function token>\n", "<import token>\n\n\nclass _Sink_Encoder(threading.Thread, cwipc_sink_abstract):\n <docstring token>\n <assignment token>\n <assignment token>\n <assignment token>\n sink: cwipc_rawsink_abstract\n input_queue: queue.Queue[cwipc.cwipc_wrapper]\n pointcounts: List[int]\n tiledescriptions: List[cwipc.cwipc_tileinfo_pythonic]\n encoder_group: Optional[cwipc.codec.cwipc_encodergroup_wrapper]\n encoders: List[cwipc.codec.cwipc_encoder_wrapper]\n times_encode: List[float]\n <function token>\n <function token>\n\n def start(self) ->None:\n self._init_encoders()\n threading.Thread.start(self)\n self.sink.start()\n self.started = True\n\n def stop(self) ->None:\n if self.verbose:\n print(f'encoder: stopping thread')\n self.stopped = True\n self.sink.stop()\n if self.started:\n self.join()\n <function token>\n <function token>\n\n def run(self):\n assert self.encoder_group\n if self.verbose:\n print(f'encoder: thread started')\n try:\n while (not self.stopped and self.producer and self.producer.\n is_alive()):\n pc = self.input_queue.get()\n if not pc:\n print(f'encoder: get() returned None')\n continue\n self.pointcounts.append(pc.count())\n t1 = time.time()\n self.encoder_group.feed(pc)\n packets: List[bytearray] = []\n for i in range(len(self.encoders)):\n got_data = self.encoders[i].available(True)\n assert got_data\n cpc = self.encoders[i].get_bytes()\n packets.append(cpc)\n t2 = time.time()\n if len(packets) == 1:\n self.sink.feed(packets[0])\n else:\n for i in range(len(packets)):\n self.sink.feed(packets[i], stream_index=i)\n pc.free()\n self.times_encode.append(t2 - t1)\n finally:\n self.stopped = True\n if self.verbose:\n print(f'encoder: thread stopping')\n <function token>\n\n def _init_encoders(self):\n if not self.octree_bits:\n self.octree_bits = 9\n if type(self.octree_bits) != type([]):\n self.octree_bits = [self.octree_bits]\n if not self.jpeg_quality:\n self.jpeg_quality = 85\n if type(self.jpeg_quality) != type([]):\n self.jpeg_quality = [self.jpeg_quality]\n voxelsize = 0\n if self.verbose:\n print(\n f'encoder: creating {len(self.tiledescriptions) * len(self.octree_bits) * len(self.jpeg_quality)} encoders/streams'\n )\n self.encoder_group = cwipc.codec.cwipc_new_encodergroup()\n for tile in range(len(self.tiledescriptions)):\n for octree_bits in self.octree_bits:\n for jpeg_quality in self.jpeg_quality:\n srctile = self.tiledescriptions[tile].get('ncamera', tile)\n encparams = cwipc.codec.cwipc_encoder_params(False, 1, \n 1.0, octree_bits, jpeg_quality, 16, srctile, voxelsize)\n encoder = self.encoder_group.addencoder(params=encparams)\n self.encoders.append(encoder)\n if hasattr(self.sink, 'add_streamDesc'):\n if not 'normal' in self.tiledescriptions[tile]:\n print(\n f'encoder: warning: tile {tile} description has no normal vector: {self.tiledescriptions[tile]}'\n )\n normal = self.tiledescriptions[tile].get('normal',\n dict(x=0, y=0, z=0))\n streamNum = self.sink.add_streamDesc(tile, normal[\n 'x'], normal['y'], normal['z'])\n if self.verbose:\n print(\n f'encoder: streamNum={streamNum}, tile={tile}, srctile={srctile}, normal={normal}, octree_bits={octree_bits}, jpeg_quality={jpeg_quality}'\n )\n else:\n streamNum = 0\n assert streamNum == len(self.encoders) - 1\n <function token>\n\n def print1stat(self, name, values, isInt=False):\n count = len(values)\n if count == 0:\n print('encoder: {}: count=0'.format(name))\n return\n minValue = min(values)\n maxValue = max(values)\n avgValue = sum(values) / count\n if isInt:\n fmtstring = (\n 'encoder: {}: count={}, average={:.3f}, min={:d}, max={:d}')\n else:\n fmtstring = (\n 'encoder: {}: count={}, average={:.3f}, min={:.3f}, max={:.3f}'\n )\n print(fmtstring.format(name, count, avgValue, minValue, maxValue))\n\n\n<function token>\n", "<import token>\n\n\nclass _Sink_Encoder(threading.Thread, cwipc_sink_abstract):\n <docstring token>\n <assignment token>\n <assignment token>\n <assignment token>\n sink: cwipc_rawsink_abstract\n input_queue: queue.Queue[cwipc.cwipc_wrapper]\n pointcounts: List[int]\n tiledescriptions: List[cwipc.cwipc_tileinfo_pythonic]\n encoder_group: Optional[cwipc.codec.cwipc_encodergroup_wrapper]\n encoders: List[cwipc.codec.cwipc_encoder_wrapper]\n times_encode: List[float]\n <function token>\n <function token>\n\n def start(self) ->None:\n self._init_encoders()\n threading.Thread.start(self)\n self.sink.start()\n self.started = True\n\n def stop(self) ->None:\n if self.verbose:\n print(f'encoder: stopping thread')\n self.stopped = True\n self.sink.stop()\n if self.started:\n self.join()\n <function token>\n <function token>\n\n def run(self):\n assert self.encoder_group\n if self.verbose:\n print(f'encoder: thread started')\n try:\n while (not self.stopped and self.producer and self.producer.\n is_alive()):\n pc = self.input_queue.get()\n if not pc:\n print(f'encoder: get() returned None')\n continue\n self.pointcounts.append(pc.count())\n t1 = time.time()\n self.encoder_group.feed(pc)\n packets: List[bytearray] = []\n for i in range(len(self.encoders)):\n got_data = self.encoders[i].available(True)\n assert got_data\n cpc = self.encoders[i].get_bytes()\n packets.append(cpc)\n t2 = time.time()\n if len(packets) == 1:\n self.sink.feed(packets[0])\n else:\n for i in range(len(packets)):\n self.sink.feed(packets[i], stream_index=i)\n pc.free()\n self.times_encode.append(t2 - t1)\n finally:\n self.stopped = True\n if self.verbose:\n print(f'encoder: thread stopping')\n <function token>\n\n def _init_encoders(self):\n if not self.octree_bits:\n self.octree_bits = 9\n if type(self.octree_bits) != type([]):\n self.octree_bits = [self.octree_bits]\n if not self.jpeg_quality:\n self.jpeg_quality = 85\n if type(self.jpeg_quality) != type([]):\n self.jpeg_quality = [self.jpeg_quality]\n voxelsize = 0\n if self.verbose:\n print(\n f'encoder: creating {len(self.tiledescriptions) * len(self.octree_bits) * len(self.jpeg_quality)} encoders/streams'\n )\n self.encoder_group = cwipc.codec.cwipc_new_encodergroup()\n for tile in range(len(self.tiledescriptions)):\n for octree_bits in self.octree_bits:\n for jpeg_quality in self.jpeg_quality:\n srctile = self.tiledescriptions[tile].get('ncamera', tile)\n encparams = cwipc.codec.cwipc_encoder_params(False, 1, \n 1.0, octree_bits, jpeg_quality, 16, srctile, voxelsize)\n encoder = self.encoder_group.addencoder(params=encparams)\n self.encoders.append(encoder)\n if hasattr(self.sink, 'add_streamDesc'):\n if not 'normal' in self.tiledescriptions[tile]:\n print(\n f'encoder: warning: tile {tile} description has no normal vector: {self.tiledescriptions[tile]}'\n )\n normal = self.tiledescriptions[tile].get('normal',\n dict(x=0, y=0, z=0))\n streamNum = self.sink.add_streamDesc(tile, normal[\n 'x'], normal['y'], normal['z'])\n if self.verbose:\n print(\n f'encoder: streamNum={streamNum}, tile={tile}, srctile={srctile}, normal={normal}, octree_bits={octree_bits}, jpeg_quality={jpeg_quality}'\n )\n else:\n streamNum = 0\n assert streamNum == len(self.encoders) - 1\n <function token>\n <function token>\n\n\n<function token>\n", "<import token>\n\n\nclass _Sink_Encoder(threading.Thread, cwipc_sink_abstract):\n <docstring token>\n <assignment token>\n <assignment token>\n <assignment token>\n sink: cwipc_rawsink_abstract\n input_queue: queue.Queue[cwipc.cwipc_wrapper]\n pointcounts: List[int]\n tiledescriptions: List[cwipc.cwipc_tileinfo_pythonic]\n encoder_group: Optional[cwipc.codec.cwipc_encodergroup_wrapper]\n encoders: List[cwipc.codec.cwipc_encoder_wrapper]\n times_encode: List[float]\n <function token>\n <function token>\n\n def start(self) ->None:\n self._init_encoders()\n threading.Thread.start(self)\n self.sink.start()\n self.started = True\n\n def stop(self) ->None:\n if self.verbose:\n print(f'encoder: stopping thread')\n self.stopped = True\n self.sink.stop()\n if self.started:\n self.join()\n <function token>\n <function token>\n <function token>\n <function token>\n\n def _init_encoders(self):\n if not self.octree_bits:\n self.octree_bits = 9\n if type(self.octree_bits) != type([]):\n self.octree_bits = [self.octree_bits]\n if not self.jpeg_quality:\n self.jpeg_quality = 85\n if type(self.jpeg_quality) != type([]):\n self.jpeg_quality = [self.jpeg_quality]\n voxelsize = 0\n if self.verbose:\n print(\n f'encoder: creating {len(self.tiledescriptions) * len(self.octree_bits) * len(self.jpeg_quality)} encoders/streams'\n )\n self.encoder_group = cwipc.codec.cwipc_new_encodergroup()\n for tile in range(len(self.tiledescriptions)):\n for octree_bits in self.octree_bits:\n for jpeg_quality in self.jpeg_quality:\n srctile = self.tiledescriptions[tile].get('ncamera', tile)\n encparams = cwipc.codec.cwipc_encoder_params(False, 1, \n 1.0, octree_bits, jpeg_quality, 16, srctile, voxelsize)\n encoder = self.encoder_group.addencoder(params=encparams)\n self.encoders.append(encoder)\n if hasattr(self.sink, 'add_streamDesc'):\n if not 'normal' in self.tiledescriptions[tile]:\n print(\n f'encoder: warning: tile {tile} description has no normal vector: {self.tiledescriptions[tile]}'\n )\n normal = self.tiledescriptions[tile].get('normal',\n dict(x=0, y=0, z=0))\n streamNum = self.sink.add_streamDesc(tile, normal[\n 'x'], normal['y'], normal['z'])\n if self.verbose:\n print(\n f'encoder: streamNum={streamNum}, tile={tile}, srctile={srctile}, normal={normal}, octree_bits={octree_bits}, jpeg_quality={jpeg_quality}'\n )\n else:\n streamNum = 0\n assert streamNum == len(self.encoders) - 1\n <function token>\n <function token>\n\n\n<function token>\n", "<import token>\n\n\nclass _Sink_Encoder(threading.Thread, cwipc_sink_abstract):\n <docstring token>\n <assignment token>\n <assignment token>\n <assignment token>\n sink: cwipc_rawsink_abstract\n input_queue: queue.Queue[cwipc.cwipc_wrapper]\n pointcounts: List[int]\n tiledescriptions: List[cwipc.cwipc_tileinfo_pythonic]\n encoder_group: Optional[cwipc.codec.cwipc_encodergroup_wrapper]\n encoders: List[cwipc.codec.cwipc_encoder_wrapper]\n times_encode: List[float]\n <function token>\n <function token>\n\n def start(self) ->None:\n self._init_encoders()\n threading.Thread.start(self)\n self.sink.start()\n self.started = True\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def _init_encoders(self):\n if not self.octree_bits:\n self.octree_bits = 9\n if type(self.octree_bits) != type([]):\n self.octree_bits = [self.octree_bits]\n if not self.jpeg_quality:\n self.jpeg_quality = 85\n if type(self.jpeg_quality) != type([]):\n self.jpeg_quality = [self.jpeg_quality]\n voxelsize = 0\n if self.verbose:\n print(\n f'encoder: creating {len(self.tiledescriptions) * len(self.octree_bits) * len(self.jpeg_quality)} encoders/streams'\n )\n self.encoder_group = cwipc.codec.cwipc_new_encodergroup()\n for tile in range(len(self.tiledescriptions)):\n for octree_bits in self.octree_bits:\n for jpeg_quality in self.jpeg_quality:\n srctile = self.tiledescriptions[tile].get('ncamera', tile)\n encparams = cwipc.codec.cwipc_encoder_params(False, 1, \n 1.0, octree_bits, jpeg_quality, 16, srctile, voxelsize)\n encoder = self.encoder_group.addencoder(params=encparams)\n self.encoders.append(encoder)\n if hasattr(self.sink, 'add_streamDesc'):\n if not 'normal' in self.tiledescriptions[tile]:\n print(\n f'encoder: warning: tile {tile} description has no normal vector: {self.tiledescriptions[tile]}'\n )\n normal = self.tiledescriptions[tile].get('normal',\n dict(x=0, y=0, z=0))\n streamNum = self.sink.add_streamDesc(tile, normal[\n 'x'], normal['y'], normal['z'])\n if self.verbose:\n print(\n f'encoder: streamNum={streamNum}, tile={tile}, srctile={srctile}, normal={normal}, octree_bits={octree_bits}, jpeg_quality={jpeg_quality}'\n )\n else:\n streamNum = 0\n assert streamNum == len(self.encoders) - 1\n <function token>\n <function token>\n\n\n<function token>\n", "<import token>\n\n\nclass _Sink_Encoder(threading.Thread, cwipc_sink_abstract):\n <docstring token>\n <assignment token>\n <assignment token>\n <assignment token>\n sink: cwipc_rawsink_abstract\n input_queue: queue.Queue[cwipc.cwipc_wrapper]\n pointcounts: List[int]\n tiledescriptions: List[cwipc.cwipc_tileinfo_pythonic]\n encoder_group: Optional[cwipc.codec.cwipc_encodergroup_wrapper]\n encoders: List[cwipc.codec.cwipc_encoder_wrapper]\n times_encode: List[float]\n <function token>\n <function token>\n\n def start(self) ->None:\n self._init_encoders()\n threading.Thread.start(self)\n self.sink.start()\n self.started = True\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<function token>\n", "<import token>\n\n\nclass _Sink_Encoder(threading.Thread, cwipc_sink_abstract):\n <docstring token>\n <assignment token>\n <assignment token>\n <assignment token>\n sink: cwipc_rawsink_abstract\n input_queue: queue.Queue[cwipc.cwipc_wrapper]\n pointcounts: List[int]\n tiledescriptions: List[cwipc.cwipc_tileinfo_pythonic]\n encoder_group: Optional[cwipc.codec.cwipc_encodergroup_wrapper]\n encoders: List[cwipc.codec.cwipc_encoder_wrapper]\n times_encode: List[float]\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<function token>\n", "<import token>\n<class token>\n<function token>\n" ]
false
98,616
626926d2a179fbcea2d73d9ba89d720c83708d03
"""Modèle de case management adapté au projet Labster.""" from __future__ import annotations from collections.abc import Container from datetime import date, datetime from typing import Dict import structlog from labster.domain.services.notifications import send_email from labster.forms.workflow import ConfirmerFinalisationForm, \ ConfirmerRecevabiliteForm, WorkflowForm from labster.lib.workflow import State, Transition, Workflow logger = structlog.get_logger() class EnEdition(State): label = "En édition" next_action = "Edition à finaliser et à soumettre" def on_enter(self, workflow): case = workflow.case case.active = True case.editable = True def task_owners(self, workflow): case = workflow.case return {u for u in [case.gestionnaire, case.porteur] if u} class EnValidation(State): label = "En cours de validation hiérarchique" label_short = "En validation" next_action = "Demande à considérer pour validation" def task_owners(self, workflow): demande = workflow.case # assert validation_stage if not demande.wf_stage: logger.warning( f"Warning: la demande {demande.id} n'a pas de validation_stage" ) demande.wf_stage = next_validation_stage(demande) return demande.wf_stage.direction def next_validation_stage(demande): from labster.domain.models.unites import DEPARTEMENT, EQUIPE, LABORATOIRE structure = demande.structure stage = demande.wf_stage if not stage: stage = structure if stage.type == EQUIPE and not structure.wf_must_validate(EQUIPE): stage = stage.parent if stage.type == DEPARTEMENT and not structure.wf_must_validate(DEPARTEMENT): stage = stage.parent if stage.type == LABORATOIRE and not structure.wf_must_validate(LABORATOIRE): stage = None assert stage is None or stage.type in [EQUIPE, DEPARTEMENT, LABORATOIRE] return stage stage = stage.parent if not stage: return None if stage.type == DEPARTEMENT and not structure.wf_must_validate(DEPARTEMENT): stage = stage.parent if not stage: return None if stage.type == LABORATOIRE and not structure.wf_must_validate(LABORATOIRE): stage = None if not stage: return None if stage == None or stage.type in [DEPARTEMENT, LABORATOIRE]: return stage return None class EnVerification(State): label = "Recevabilité en cours de vérification" label_short = "En vérification" next_action = "Recevabilité à confirmer" def on_enter(self, workflow): workflow.set_value("ar_envoye", False) def task_owners(self, workflow): case = workflow.case if case.contact_dgrtt: return [case.contact_dgrtt] else: return [] class EnInstruction(State): label = "En cours d'instruction par la DR&I" label_short = "En instruction" next_action = "Instruction à mener et finaliser" def task_owners(self, workflow): case = workflow.case if case.contact_dgrtt: return [case.contact_dgrtt] else: return [] # Etats finaux class Traitee(State): label = "Traitée par la DR&I" label_short = "Traitée" is_final = True class Rejetee(State): label = "Rejetée par la DR&I" label_short = "Rejetée" is_final = True class Abandonnee(State): label = "Abandonnée par le porteur" label_short = "Abandonnée" is_final = True EN_EDITION = EnEdition() EN_VALIDATION = EnValidation() EN_VERIFICATION = EnVerification() EN_INSTRUCTION = EnInstruction() TRAITEE = Traitee() REJETEE = Rejetee() ABANDONNEE = Abandonnee() ACTIVE_STATES: list[State] = [ EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION, ] INACTIVE_STATES: list[State] = [TRAITEE, REJETEE, ABANDONNEE] ALL_STATES: list[State] = ACTIVE_STATES + INACTIVE_STATES # # Transitions # class Abandonner(Transition): label = "Abandonner la demande" category = "danger" from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION] to_state = ABANDONNEE message = "{actor} a abandonné la demande." def precondition(self, workflow): return workflow.actor_is_porteur_or_gdl() def get_users_to_notify(self, workflow, old_state): case = workflow.case if old_state == EN_EDITION: return [] if old_state == EN_VALIDATION: return case.owners + case.structure.direction if old_state in (EN_VERIFICATION, EN_INSTRUCTION): return case.owners + [case.contact_dgrtt] raise RuntimeError(f"Unknown state: {old_state}") class Desarchiver(Transition): label = "Désarchiver la demande" category = "danger" from_states = [ABANDONNEE, REJETEE, TRAITEE] message = "{actor} a désarchivé la demande." def apply(self, workflow, data): from labster.domain.models.demandes import Demande demande = workflow.case # type: Demande old_state_id = demande.wf_history[-1].get("old_state", "EN_EDITION") old_state = workflow.get_state_by_id(old_state_id) old_state.enter(workflow) demande.active = True demande.editable = True def get_form(self, workflow, **kw): return WorkflowForm(require_note=True) def get_users_to_notify(self, workflow, old_state): case = workflow.case return case.owners class Soumettre(Transition): label = "Soumettre la demande" from_states = [EN_EDITION] def precondition(self, workflow): demande = workflow.case structure = demande.structure if not demande.is_valid(): return False if workflow.actor == demande.porteur: return True # Cas à gérer: la demande est issue d'une sous-structure dans # le périmètre du gestionnaire. # # demande.structure et workflow.actor.structure peuvent être différentes. # # Par exemple: # demande.structure = equipe Developpement des circuits neuronaux # workflow.actor.structure = Institut de la vision # Et dans ce cas # demande.structure.get_gestionnaires() = [] # # Sur le formulaire de la demande, l'utilisateur voit # "Institut de la vision", donc peut aller changer son paramètre "permettre_soummission_directe" à True # On a donc # demande.structure.permettre_soummission_directe inchangé, potentiellement à False, # et workflow.actor.structure.permettre_soummission_directe à True. # # On a donc besoin des deux "if" suivants. if ( workflow.actor.structure and workflow.actor.structure.permettre_soummission_directe and workflow.actor in workflow.actor.structure.get_gestionnaires() ): return True if ( structure.permettre_soummission_directe and workflow.actor in structure.get_gestionnaires() ): return True if ( workflow.get_value("validee_hierarchie") and structure.permettre_reponse_directe and workflow.actor == demande.gestionnaire ): return True return False def apply(self, workflow, data): demande = workflow.case demande.editable = False if data.get("resoumission"): workflow.set_value("validee_hierarchie", False) if workflow.get_value("validee_hierarchie"): if workflow.get_value("recevable"): EN_INSTRUCTION.enter(workflow) else: EN_VERIFICATION.enter(workflow) else: demande.wf_stage = next_validation_stage(demande) EN_VALIDATION.enter(workflow) def message(self, workflow): if workflow.get_value("validee_hierarchie"): return "{actor} a resoumis sa demande sans revalidation hiérarchique" else: return "{actor} a soumis sa demande pour validation hiérarchique." def get_users_to_notify(self, workflow, old_state): case = workflow.case if workflow.get_value("validee_hierarchie"): return [case.contact_dgrtt] else: return case.wf_stage.direction def get_form(self, workflow, **kw): if workflow.get_value("validee_hierarchie"): return WorkflowForm(ask_for_revalidation=True) return WorkflowForm() # # Prendre la main # class AbstractPrendreLaMain(Transition): label = "Prendre la main sur la demande" category = "danger" message = "{actor} a pris la main sur la demande." def get_users_to_notify(self, workflow, old_state): from labster.domain.models.profiles import Profile case = workflow.case actor = workflow.actor user_ids = {entry["actor_id"] for entry in case.wf_history} users = [] for id in user_ids: try: user = Profile.query.get(id) if user != actor: users.append(user) except Exception: pass return users class PrendreLaMainGestionnaire(AbstractPrendreLaMain): from_states = ACTIVE_STATES def precondition(self, workflow): case = workflow.case actor = workflow.actor return actor.has_role("gestionnaire", case) and actor not in ( case.gestionnaire, case.porteur, ) def apply(self, workflow, data): case = workflow.case actor = workflow.actor case.gestionnaire = actor class PrendreLaMainDgrtt(AbstractPrendreLaMain): from_states = ACTIVE_STATES def precondition(self, workflow): case = workflow.case actor = workflow.actor return actor.has_role("dgrtt") and not actor == case.contact_dgrtt def apply(self, workflow, data): case = workflow.case actor = workflow.actor case.contact_dgrtt = actor # # "Valider demande (hiérarchie) # class ValiderDir(Transition): label = "Valider la demande" from_states = [EN_VALIDATION] message = "Demande validée par la hiérarchie ({actor})." def precondition(self, workflow): return workflow.actor in workflow.state.task_owners(workflow) def apply(self, workflow, data): demande = workflow.case demande.assigne_contact_dgrtt() workflow.set_value("validee_hierarchie", True) demande.date_effective = date.today() next_stage = next_validation_stage(demande) demande.wf_stage = next_stage if not next_stage: EN_VERIFICATION.enter(workflow) def get_users_to_notify(self, workflow, old_state): case = workflow.case if case.contact_dgrtt: return case.owners + [case.contact_dgrtt] else: return case.owners class RequerirModificationDir(Transition): label = "Requérir modification / complément" from_states = [EN_VALIDATION] to_state = EN_EDITION message = ( "Demande de compléments / modifications par {actor} " "(direction labo/département/équipe) pour vérification de recevabilité." ) def precondition(self, workflow): return workflow.actor in workflow.state.task_owners(workflow) def apply(self, workflow, data): demande = workflow.case demande.wf_stage = None workflow.set_value("validee_hierarchie", False) def get_users_to_notify(self, workflow, old_state): case = workflow.case return case.owners def get_form(self, workflow, **kw): return WorkflowForm(require_note=True) # # DGRTT (renommé DR&I) # class AccuserReception(Transition): label = "Accuser réception en attendant vérification ultérieure" from_states = [EN_VERIFICATION] to_state = EN_VERIFICATION message = "Accusé de réception envoyé par {actor} (contact)." def precondition(self, workflow): return workflow.actor_is_contact_dgrtt() and not workflow.get_value( "ar_envoye", False ) def apply(self, workflow, data): workflow.set_value("ar_envoye", True) def get_users_to_notify(self, workflow, old_state): case = workflow.case return case.owners class RequerirModificationDgrtt(Transition): label = "Requérir modification / complément" from_states = [EN_VERIFICATION, EN_INSTRUCTION] to_state = EN_EDITION def precondition(self, workflow): return workflow.actor_is_contact_dgrtt() def apply(self, workflow, data): if data.get("resoumission"): workflow.set_value("validee_hierarchie", False) def message(self, workflow): if workflow.state == EN_VERIFICATION: return ( "Demande de compléments / modifications par {actor} " "(contact) pour vérification de recevabilité." ) else: return ( "Demande de compléments / modifications par {actor} " "(contact) pour instruction." ) def get_users_to_notify(self, workflow, old_state): case = workflow.case return case.owners def get_form(self, workflow, **kw): if workflow.get_value("validee_hierarchie"): return WorkflowForm(ask_for_revalidation=True, require_note=True) return WorkflowForm(require_note=True) class ConfirmerRecevabiliteDgrtt(Transition): label = "Confirmer recevabilité" from_states = [EN_VERIFICATION] to_state = EN_INSTRUCTION def precondition(self, workflow): return workflow.actor_is_contact_dgrtt() def apply(self, workflow, data): workflow.set_value("recevable", True) self.send_notification(workflow) def send_notification(self, workflow): case = workflow.case subject = "Recevabilité de votre demande par la DR&I" ctx = { "transition": self, "demande": case, "workflow": workflow, "now": datetime.now(), } send_email(case.owners, subject, "notif-demande-recevable.html", ctx) def get_users_to_notify(self, workflow, old_state): case = workflow.case return case.owners def get_form(self, workflow, **kw): return ConfirmerRecevabiliteForm() def message(self, workflow): demande = workflow.case tpl = ( "Recevabilité confirmée par {actor} (contact). " "No Infolab: %s." % demande.no_infolab ) return tpl class ConfirmerFinalisationDgrtt(Transition): label = "Confirmer finalisation" from_states = [EN_INSTRUCTION] to_state = TRAITEE def precondition(self, workflow): return workflow.actor_is_contact_dgrtt() def get_users_to_notify(self, workflow, old_state): case = workflow.case return case.owners def get_form(self, workflow, **kw): return ConfirmerFinalisationForm() def apply(self, workflow, data): self.send_notification(workflow) def send_notification(self, workflow): case = workflow.case ctx = { "transition": self, "demande": case, "workflow": workflow, "now": datetime.now(), } subject = "Finalisation de votre demande par la DR&I" du = case.laboratoire.direction recipients = case.owners + du send_email(recipients, subject, "notif-demande-finalisee.html", ctx) def message(self, workflow): demande = workflow.case tpl = ( "Traitement finalisé par {actor} (contact)." "No eOTP: %s." % demande.no_eotp ) return tpl class RejeterDgrtt(Transition): label = "Rejeter / abandonner demande" category = "danger" from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION] to_state = REJETEE message = "Demande rejetée / abandonnées par {actor} (contact)." def precondition(self, workflow): actor = workflow.actor return actor.has_role("dgrtt") def get_users_to_notify(self, workflow, old_state): case = workflow.case return case.owners def apply(self, workflow, data): # type: (Workflow, Dict) -> None self.send_notification(workflow) def send_notification(self, workflow): # type: (Workflow) -> None case = workflow.case ctx = { "transition": self, "demande": case, "workflow": workflow, "now": datetime.now(), } subject = "Rejet de votre demande par la DR&I" send_email(case.owners, subject, "notif-demande-rejetee.html", ctx) def get_form(self, workflow, **kw): return WorkflowForm(require_note=True) class Commenter(Transition): label = "Envoyer un message" category = "success" from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION] message = "{actor} a posté le commentaire ou la question suivante: " def precondition(self, workflow): # type: (Workflow) -> bool actor = workflow.actor demande = workflow.case if workflow.state == EN_EDITION and not demande.contact_dgrtt: return False return actor in self._get_stakeholder(workflow) def get_users_to_notify(self, workflow, old_state): return self._get_stakeholder(workflow) def _get_stakeholder(self, workflow): # type: (Workflow) -> Container from .profiles import Profile from .unites import OrgUnit demande = workflow.case structure = demande.structure # type: OrgUnit stakeholders = set(demande.owners) if demande.contact_dgrtt: stakeholders.add(demande.contact_dgrtt) directeurs = structure.get_directeurs() for directeur in directeurs: stakeholders.add(directeur) for history_item in demande.wf_history: actor_id = history_item["actor_id"] if actor_id: actor = Profile.query.get(actor_id) stakeholders.add(actor) return stakeholders def get_form(self, workflow, **kw): return WorkflowForm(require_note=True) def apply(self, workflow, data): # type: (Workflow, Dict) -> None self.send_notification(workflow) def send_notification(self, workflow): # type: (Workflow) -> None case = workflow.case ctx = { "transition": self, "demande": case, "workflow": workflow, "now": datetime.now(), } subject = "Un commentaire sur votre demande" send_email(case.owners, subject, "notif-demande-comment.html", ctx) # ABANDONNER = Abandonner() DESARCHIVER = Desarchiver() SOUMETTRE = Soumettre() PRENDRE_LA_MAIN_GESTIONNAIRE = PrendreLaMainGestionnaire() PRENDRE_LA_MAIN_DGRTT = PrendreLaMainDgrtt() # VALIDER_DIR = ValiderDir() REQUERIR_MODIFICATION_DIR = RequerirModificationDir() # ACCUSER_RECEPTION = AccuserReception() REQUERIR_MODIFICATION_DGRTT = RequerirModificationDgrtt() CONFIRMER_RECEVABILITE_DGRTT = ConfirmerRecevabiliteDgrtt() CONFIRMER_FINALISATION_DGRTT = ConfirmerFinalisationDgrtt() REJETER_DGRTT = RejeterDgrtt() # COMMENTER = Commenter() # # Workflow # class LabsterWorkflow(Workflow): initial_state = EN_EDITION states = ALL_STATES # NB: order counts! transitions = [ SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR, PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION, CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT, REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER, COMMENTER, ] def actor_is_contact_dgrtt(self): return self.actor == self.case.contact_dgrtt def actor_is_porteur_or_gdl(self): return self.actor in (self.case.porteur, self.case.gestionnaire)
[ "\"\"\"Modèle de case management adapté au projet Labster.\"\"\"\nfrom __future__ import annotations\n\nfrom collections.abc import Container\nfrom datetime import date, datetime\nfrom typing import Dict\n\nimport structlog\n\nfrom labster.domain.services.notifications import send_email\nfrom labster.forms.workflow import ConfirmerFinalisationForm, \\\n ConfirmerRecevabiliteForm, WorkflowForm\nfrom labster.lib.workflow import State, Transition, Workflow\n\nlogger = structlog.get_logger()\n\n\nclass EnEdition(State):\n label = \"En édition\"\n next_action = \"Edition à finaliser et à soumettre\"\n\n def on_enter(self, workflow):\n case = workflow.case\n case.active = True\n case.editable = True\n\n def task_owners(self, workflow):\n case = workflow.case\n return {u for u in [case.gestionnaire, case.porteur] if u}\n\n\nclass EnValidation(State):\n label = \"En cours de validation hiérarchique\"\n label_short = \"En validation\"\n next_action = \"Demande à considérer pour validation\"\n\n def task_owners(self, workflow):\n demande = workflow.case\n # assert validation_stage\n if not demande.wf_stage:\n logger.warning(\n f\"Warning: la demande {demande.id} n'a pas de validation_stage\"\n )\n demande.wf_stage = next_validation_stage(demande)\n return demande.wf_stage.direction\n\n\ndef next_validation_stage(demande):\n from labster.domain.models.unites import DEPARTEMENT, EQUIPE, LABORATOIRE\n\n structure = demande.structure\n stage = demande.wf_stage\n\n if not stage:\n stage = structure\n if stage.type == EQUIPE and not structure.wf_must_validate(EQUIPE):\n stage = stage.parent\n if stage.type == DEPARTEMENT and not structure.wf_must_validate(DEPARTEMENT):\n stage = stage.parent\n if stage.type == LABORATOIRE and not structure.wf_must_validate(LABORATOIRE):\n stage = None\n assert stage is None or stage.type in [EQUIPE, DEPARTEMENT, LABORATOIRE]\n return stage\n\n stage = stage.parent\n if not stage:\n return None\n\n if stage.type == DEPARTEMENT and not structure.wf_must_validate(DEPARTEMENT):\n stage = stage.parent\n if not stage:\n return None\n\n if stage.type == LABORATOIRE and not structure.wf_must_validate(LABORATOIRE):\n stage = None\n if not stage:\n return None\n\n if stage == None or stage.type in [DEPARTEMENT, LABORATOIRE]:\n return stage\n\n return None\n\n\nclass EnVerification(State):\n label = \"Recevabilité en cours de vérification\"\n label_short = \"En vérification\"\n next_action = \"Recevabilité à confirmer\"\n\n def on_enter(self, workflow):\n workflow.set_value(\"ar_envoye\", False)\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass EnInstruction(State):\n label = \"En cours d'instruction par la DR&I\"\n label_short = \"En instruction\"\n next_action = \"Instruction à mener et finaliser\"\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\n# Etats finaux\nclass Traitee(State):\n label = \"Traitée par la DR&I\"\n label_short = \"Traitée\"\n is_final = True\n\n\nclass Rejetee(State):\n label = \"Rejetée par la DR&I\"\n label_short = \"Rejetée\"\n is_final = True\n\n\nclass Abandonnee(State):\n label = \"Abandonnée par le porteur\"\n label_short = \"Abandonnée\"\n is_final = True\n\n\nEN_EDITION = EnEdition()\nEN_VALIDATION = EnValidation()\nEN_VERIFICATION = EnVerification()\nEN_INSTRUCTION = EnInstruction()\nTRAITEE = Traitee()\nREJETEE = Rejetee()\nABANDONNEE = Abandonnee()\n\nACTIVE_STATES: list[State] = [\n EN_EDITION,\n EN_VALIDATION,\n EN_VERIFICATION,\n EN_INSTRUCTION,\n]\nINACTIVE_STATES: list[State] = [TRAITEE, REJETEE, ABANDONNEE]\nALL_STATES: list[State] = ACTIVE_STATES + INACTIVE_STATES\n\n\n#\n# Transitions\n#\nclass Abandonner(Transition):\n label = \"Abandonner la demande\"\n category = \"danger\"\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = \"{actor} a abandonné la demande.\"\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f\"Unknown state: {old_state}\")\n\n\nclass Desarchiver(Transition):\n label = \"Désarchiver la demande\"\n category = \"danger\"\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = \"{actor} a désarchivé la demande.\"\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n\n demande = workflow.case # type: Demande\n old_state_id = demande.wf_history[-1].get(\"old_state\", \"EN_EDITION\")\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = \"Soumettre la demande\"\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n\n if not demande.is_valid():\n return False\n\n if workflow.actor == demande.porteur:\n return True\n\n # Cas à gérer: la demande est issue d'une sous-structure dans\n # le périmètre du gestionnaire.\n #\n # demande.structure et workflow.actor.structure peuvent être différentes.\n #\n # Par exemple:\n # demande.structure = equipe Developpement des circuits neuronaux\n # workflow.actor.structure = Institut de la vision\n # Et dans ce cas\n # demande.structure.get_gestionnaires() = []\n #\n # Sur le formulaire de la demande, l'utilisateur voit\n # \"Institut de la vision\", donc peut aller changer son paramètre \"permettre_soummission_directe\" à True\n # On a donc\n # demande.structure.permettre_soummission_directe inchangé, potentiellement à False,\n # et workflow.actor.structure.permettre_soummission_directe à True.\n #\n # On a donc besoin des deux \"if\" suivants.\n if (\n workflow.actor.structure\n and workflow.actor.structure.permettre_soummission_directe\n and workflow.actor in workflow.actor.structure.get_gestionnaires()\n ):\n return True\n\n if (\n structure.permettre_soummission_directe\n and workflow.actor in structure.get_gestionnaires()\n ):\n return True\n\n if (\n workflow.get_value(\"validee_hierarchie\")\n and structure.permettre_reponse_directe\n and workflow.actor == demande.gestionnaire\n ):\n return True\n\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n\n if data.get(\"resoumission\"):\n workflow.set_value(\"validee_hierarchie\", False)\n\n if workflow.get_value(\"validee_hierarchie\"):\n if workflow.get_value(\"recevable\"):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value(\"validee_hierarchie\"):\n return \"{actor} a resoumis sa demande sans revalidation hiérarchique\"\n else:\n return \"{actor} a soumis sa demande pour validation hiérarchique.\"\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value(\"validee_hierarchie\"):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value(\"validee_hierarchie\"):\n return WorkflowForm(ask_for_revalidation=True)\n\n return WorkflowForm()\n\n\n#\n# Prendre la main\n#\nclass AbstractPrendreLaMain(Transition):\n label = \"Prendre la main sur la demande\"\n category = \"danger\"\n message = \"{actor} a pris la main sur la demande.\"\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry[\"actor_id\"] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role(\"gestionnaire\", case) and actor not in (\n case.gestionnaire,\n case.porteur,\n )\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role(\"dgrtt\") and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\n#\n# \"Valider demande (hiérarchie)\n#\nclass ValiderDir(Transition):\n label = \"Valider la demande\"\n from_states = [EN_VALIDATION]\n message = \"Demande validée par la hiérarchie ({actor}).\"\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value(\"validee_hierarchie\", True)\n demande.date_effective = date.today()\n\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = \"Requérir modification / complément\"\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n \"Demande de compléments / modifications par {actor} \"\n \"(direction labo/département/équipe) pour vérification de recevabilité.\"\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value(\"validee_hierarchie\", False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\n#\n# DGRTT (renommé DR&I)\n#\nclass AccuserReception(Transition):\n label = \"Accuser réception en attendant vérification ultérieure\"\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = \"Accusé de réception envoyé par {actor} (contact).\"\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n \"ar_envoye\", False\n )\n\n def apply(self, workflow, data):\n workflow.set_value(\"ar_envoye\", True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = \"Requérir modification / complément\"\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get(\"resoumission\"):\n workflow.set_value(\"validee_hierarchie\", False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n \"Demande de compléments / modifications par {actor} \"\n \"(contact) pour vérification de recevabilité.\"\n )\n else:\n return (\n \"Demande de compléments / modifications par {actor} \"\n \"(contact) pour instruction.\"\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value(\"validee_hierarchie\"):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = \"Confirmer recevabilité\"\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value(\"recevable\", True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = \"Recevabilité de votre demande par la DR&I\"\n ctx = {\n \"transition\": self,\n \"demande\": case,\n \"workflow\": workflow,\n \"now\": datetime.now(),\n }\n send_email(case.owners, subject, \"notif-demande-recevable.html\", ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n \"Recevabilité confirmée par {actor} (contact). \"\n \"No Infolab: %s.\" % demande.no_infolab\n )\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = \"Confirmer finalisation\"\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {\n \"transition\": self,\n \"demande\": case,\n \"workflow\": workflow,\n \"now\": datetime.now(),\n }\n subject = \"Finalisation de votre demande par la DR&I\"\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, \"notif-demande-finalisee.html\", ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n \"Traitement finalisé par {actor} (contact).\"\n \"No eOTP: %s.\" % demande.no_eotp\n )\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = \"Rejeter / abandonner demande\"\n category = \"danger\"\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = \"Demande rejetée / abandonnées par {actor} (contact).\"\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role(\"dgrtt\")\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n # type: (Workflow, Dict) -> None\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n # type: (Workflow) -> None\n case = workflow.case\n ctx = {\n \"transition\": self,\n \"demande\": case,\n \"workflow\": workflow,\n \"now\": datetime.now(),\n }\n subject = \"Rejet de votre demande par la DR&I\"\n send_email(case.owners, subject, \"notif-demande-rejetee.html\", ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = \"Envoyer un message\"\n category = \"success\"\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = \"{actor} a posté le commentaire ou la question suivante: \"\n\n def precondition(self, workflow):\n # type: (Workflow) -> bool\n\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n # type: (Workflow) -> Container\n from .profiles import Profile\n from .unites import OrgUnit\n\n demande = workflow.case\n structure = demande.structure # type: OrgUnit\n\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n\n for history_item in demande.wf_history:\n actor_id = history_item[\"actor_id\"]\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n # type: (Workflow, Dict) -> None\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n # type: (Workflow) -> None\n case = workflow.case\n ctx = {\n \"transition\": self,\n \"demande\": case,\n \"workflow\": workflow,\n \"now\": datetime.now(),\n }\n subject = \"Un commentaire sur votre demande\"\n send_email(case.owners, subject, \"notif-demande-comment.html\", ctx)\n\n\n#\nABANDONNER = Abandonner()\nDESARCHIVER = Desarchiver()\nSOUMETTRE = Soumettre()\nPRENDRE_LA_MAIN_GESTIONNAIRE = PrendreLaMainGestionnaire()\nPRENDRE_LA_MAIN_DGRTT = PrendreLaMainDgrtt()\n#\nVALIDER_DIR = ValiderDir()\nREQUERIR_MODIFICATION_DIR = RequerirModificationDir()\n#\nACCUSER_RECEPTION = AccuserReception()\nREQUERIR_MODIFICATION_DGRTT = RequerirModificationDgrtt()\nCONFIRMER_RECEVABILITE_DGRTT = ConfirmerRecevabiliteDgrtt()\nCONFIRMER_FINALISATION_DGRTT = ConfirmerFinalisationDgrtt()\nREJETER_DGRTT = RejeterDgrtt()\n#\nCOMMENTER = Commenter()\n\n\n#\n# Workflow\n#\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n\n states = ALL_STATES\n\n # NB: order counts!\n transitions = [\n SOUMETTRE,\n PRENDRE_LA_MAIN_GESTIONNAIRE,\n VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT,\n REQUERIR_MODIFICATION_DIR,\n ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT,\n CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT,\n REJETER_DGRTT,\n ABANDONNER,\n DESARCHIVER,\n COMMENTER,\n ]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\nfrom __future__ import annotations\nfrom collections.abc import Container\nfrom datetime import date, datetime\nfrom typing import Dict\nimport structlog\nfrom labster.domain.services.notifications import send_email\nfrom labster.forms.workflow import ConfirmerFinalisationForm, ConfirmerRecevabiliteForm, WorkflowForm\nfrom labster.lib.workflow import State, Transition, Workflow\nlogger = structlog.get_logger()\n\n\nclass EnEdition(State):\n label = 'En édition'\n next_action = 'Edition à finaliser et à soumettre'\n\n def on_enter(self, workflow):\n case = workflow.case\n case.active = True\n case.editable = True\n\n def task_owners(self, workflow):\n case = workflow.case\n return {u for u in [case.gestionnaire, case.porteur] if u}\n\n\nclass EnValidation(State):\n label = 'En cours de validation hiérarchique'\n label_short = 'En validation'\n next_action = 'Demande à considérer pour validation'\n\n def task_owners(self, workflow):\n demande = workflow.case\n if not demande.wf_stage:\n logger.warning(\n f\"Warning: la demande {demande.id} n'a pas de validation_stage\"\n )\n demande.wf_stage = next_validation_stage(demande)\n return demande.wf_stage.direction\n\n\ndef next_validation_stage(demande):\n from labster.domain.models.unites import DEPARTEMENT, EQUIPE, LABORATOIRE\n structure = demande.structure\n stage = demande.wf_stage\n if not stage:\n stage = structure\n if stage.type == EQUIPE and not structure.wf_must_validate(EQUIPE):\n stage = stage.parent\n if stage.type == DEPARTEMENT and not structure.wf_must_validate(\n DEPARTEMENT):\n stage = stage.parent\n if stage.type == LABORATOIRE and not structure.wf_must_validate(\n LABORATOIRE):\n stage = None\n assert stage is None or stage.type in [EQUIPE, DEPARTEMENT, LABORATOIRE\n ]\n return stage\n stage = stage.parent\n if not stage:\n return None\n if stage.type == DEPARTEMENT and not structure.wf_must_validate(DEPARTEMENT\n ):\n stage = stage.parent\n if not stage:\n return None\n if stage.type == LABORATOIRE and not structure.wf_must_validate(LABORATOIRE\n ):\n stage = None\n if not stage:\n return None\n if stage == None or stage.type in [DEPARTEMENT, LABORATOIRE]:\n return stage\n return None\n\n\nclass EnVerification(State):\n label = 'Recevabilité en cours de vérification'\n label_short = 'En vérification'\n next_action = 'Recevabilité à confirmer'\n\n def on_enter(self, workflow):\n workflow.set_value('ar_envoye', False)\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass EnInstruction(State):\n label = \"En cours d'instruction par la DR&I\"\n label_short = 'En instruction'\n next_action = 'Instruction à mener et finaliser'\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass Traitee(State):\n label = 'Traitée par la DR&I'\n label_short = 'Traitée'\n is_final = True\n\n\nclass Rejetee(State):\n label = 'Rejetée par la DR&I'\n label_short = 'Rejetée'\n is_final = True\n\n\nclass Abandonnee(State):\n label = 'Abandonnée par le porteur'\n label_short = 'Abandonnée'\n is_final = True\n\n\nEN_EDITION = EnEdition()\nEN_VALIDATION = EnValidation()\nEN_VERIFICATION = EnVerification()\nEN_INSTRUCTION = EnInstruction()\nTRAITEE = Traitee()\nREJETEE = Rejetee()\nABANDONNEE = Abandonnee()\nACTIVE_STATES: list[State] = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION,\n EN_INSTRUCTION]\nINACTIVE_STATES: list[State] = [TRAITEE, REJETEE, ABANDONNEE]\nALL_STATES: list[State] = ACTIVE_STATES + INACTIVE_STATES\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\nABANDONNER = Abandonner()\nDESARCHIVER = Desarchiver()\nSOUMETTRE = Soumettre()\nPRENDRE_LA_MAIN_GESTIONNAIRE = PrendreLaMainGestionnaire()\nPRENDRE_LA_MAIN_DGRTT = PrendreLaMainDgrtt()\nVALIDER_DIR = ValiderDir()\nREQUERIR_MODIFICATION_DIR = RequerirModificationDir()\nACCUSER_RECEPTION = AccuserReception()\nREQUERIR_MODIFICATION_DGRTT = RequerirModificationDgrtt()\nCONFIRMER_RECEVABILITE_DGRTT = ConfirmerRecevabiliteDgrtt()\nCONFIRMER_FINALISATION_DGRTT = ConfirmerFinalisationDgrtt()\nREJETER_DGRTT = RejeterDgrtt()\nCOMMENTER = Commenter()\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\nlogger = structlog.get_logger()\n\n\nclass EnEdition(State):\n label = 'En édition'\n next_action = 'Edition à finaliser et à soumettre'\n\n def on_enter(self, workflow):\n case = workflow.case\n case.active = True\n case.editable = True\n\n def task_owners(self, workflow):\n case = workflow.case\n return {u for u in [case.gestionnaire, case.porteur] if u}\n\n\nclass EnValidation(State):\n label = 'En cours de validation hiérarchique'\n label_short = 'En validation'\n next_action = 'Demande à considérer pour validation'\n\n def task_owners(self, workflow):\n demande = workflow.case\n if not demande.wf_stage:\n logger.warning(\n f\"Warning: la demande {demande.id} n'a pas de validation_stage\"\n )\n demande.wf_stage = next_validation_stage(demande)\n return demande.wf_stage.direction\n\n\ndef next_validation_stage(demande):\n from labster.domain.models.unites import DEPARTEMENT, EQUIPE, LABORATOIRE\n structure = demande.structure\n stage = demande.wf_stage\n if not stage:\n stage = structure\n if stage.type == EQUIPE and not structure.wf_must_validate(EQUIPE):\n stage = stage.parent\n if stage.type == DEPARTEMENT and not structure.wf_must_validate(\n DEPARTEMENT):\n stage = stage.parent\n if stage.type == LABORATOIRE and not structure.wf_must_validate(\n LABORATOIRE):\n stage = None\n assert stage is None or stage.type in [EQUIPE, DEPARTEMENT, LABORATOIRE\n ]\n return stage\n stage = stage.parent\n if not stage:\n return None\n if stage.type == DEPARTEMENT and not structure.wf_must_validate(DEPARTEMENT\n ):\n stage = stage.parent\n if not stage:\n return None\n if stage.type == LABORATOIRE and not structure.wf_must_validate(LABORATOIRE\n ):\n stage = None\n if not stage:\n return None\n if stage == None or stage.type in [DEPARTEMENT, LABORATOIRE]:\n return stage\n return None\n\n\nclass EnVerification(State):\n label = 'Recevabilité en cours de vérification'\n label_short = 'En vérification'\n next_action = 'Recevabilité à confirmer'\n\n def on_enter(self, workflow):\n workflow.set_value('ar_envoye', False)\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass EnInstruction(State):\n label = \"En cours d'instruction par la DR&I\"\n label_short = 'En instruction'\n next_action = 'Instruction à mener et finaliser'\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass Traitee(State):\n label = 'Traitée par la DR&I'\n label_short = 'Traitée'\n is_final = True\n\n\nclass Rejetee(State):\n label = 'Rejetée par la DR&I'\n label_short = 'Rejetée'\n is_final = True\n\n\nclass Abandonnee(State):\n label = 'Abandonnée par le porteur'\n label_short = 'Abandonnée'\n is_final = True\n\n\nEN_EDITION = EnEdition()\nEN_VALIDATION = EnValidation()\nEN_VERIFICATION = EnVerification()\nEN_INSTRUCTION = EnInstruction()\nTRAITEE = Traitee()\nREJETEE = Rejetee()\nABANDONNEE = Abandonnee()\nACTIVE_STATES: list[State] = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION,\n EN_INSTRUCTION]\nINACTIVE_STATES: list[State] = [TRAITEE, REJETEE, ABANDONNEE]\nALL_STATES: list[State] = ACTIVE_STATES + INACTIVE_STATES\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\nABANDONNER = Abandonner()\nDESARCHIVER = Desarchiver()\nSOUMETTRE = Soumettre()\nPRENDRE_LA_MAIN_GESTIONNAIRE = PrendreLaMainGestionnaire()\nPRENDRE_LA_MAIN_DGRTT = PrendreLaMainDgrtt()\nVALIDER_DIR = ValiderDir()\nREQUERIR_MODIFICATION_DIR = RequerirModificationDir()\nACCUSER_RECEPTION = AccuserReception()\nREQUERIR_MODIFICATION_DGRTT = RequerirModificationDgrtt()\nCONFIRMER_RECEVABILITE_DGRTT = ConfirmerRecevabiliteDgrtt()\nCONFIRMER_FINALISATION_DGRTT = ConfirmerFinalisationDgrtt()\nREJETER_DGRTT = RejeterDgrtt()\nCOMMENTER = Commenter()\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n\n\nclass EnEdition(State):\n label = 'En édition'\n next_action = 'Edition à finaliser et à soumettre'\n\n def on_enter(self, workflow):\n case = workflow.case\n case.active = True\n case.editable = True\n\n def task_owners(self, workflow):\n case = workflow.case\n return {u for u in [case.gestionnaire, case.porteur] if u}\n\n\nclass EnValidation(State):\n label = 'En cours de validation hiérarchique'\n label_short = 'En validation'\n next_action = 'Demande à considérer pour validation'\n\n def task_owners(self, workflow):\n demande = workflow.case\n if not demande.wf_stage:\n logger.warning(\n f\"Warning: la demande {demande.id} n'a pas de validation_stage\"\n )\n demande.wf_stage = next_validation_stage(demande)\n return demande.wf_stage.direction\n\n\ndef next_validation_stage(demande):\n from labster.domain.models.unites import DEPARTEMENT, EQUIPE, LABORATOIRE\n structure = demande.structure\n stage = demande.wf_stage\n if not stage:\n stage = structure\n if stage.type == EQUIPE and not structure.wf_must_validate(EQUIPE):\n stage = stage.parent\n if stage.type == DEPARTEMENT and not structure.wf_must_validate(\n DEPARTEMENT):\n stage = stage.parent\n if stage.type == LABORATOIRE and not structure.wf_must_validate(\n LABORATOIRE):\n stage = None\n assert stage is None or stage.type in [EQUIPE, DEPARTEMENT, LABORATOIRE\n ]\n return stage\n stage = stage.parent\n if not stage:\n return None\n if stage.type == DEPARTEMENT and not structure.wf_must_validate(DEPARTEMENT\n ):\n stage = stage.parent\n if not stage:\n return None\n if stage.type == LABORATOIRE and not structure.wf_must_validate(LABORATOIRE\n ):\n stage = None\n if not stage:\n return None\n if stage == None or stage.type in [DEPARTEMENT, LABORATOIRE]:\n return stage\n return None\n\n\nclass EnVerification(State):\n label = 'Recevabilité en cours de vérification'\n label_short = 'En vérification'\n next_action = 'Recevabilité à confirmer'\n\n def on_enter(self, workflow):\n workflow.set_value('ar_envoye', False)\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass EnInstruction(State):\n label = \"En cours d'instruction par la DR&I\"\n label_short = 'En instruction'\n next_action = 'Instruction à mener et finaliser'\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass Traitee(State):\n label = 'Traitée par la DR&I'\n label_short = 'Traitée'\n is_final = True\n\n\nclass Rejetee(State):\n label = 'Rejetée par la DR&I'\n label_short = 'Rejetée'\n is_final = True\n\n\nclass Abandonnee(State):\n label = 'Abandonnée par le porteur'\n label_short = 'Abandonnée'\n is_final = True\n\n\n<assignment token>\nACTIVE_STATES: list[State] = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION,\n EN_INSTRUCTION]\nINACTIVE_STATES: list[State] = [TRAITEE, REJETEE, ABANDONNEE]\nALL_STATES: list[State] = ACTIVE_STATES + INACTIVE_STATES\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n\n\nclass EnEdition(State):\n label = 'En édition'\n next_action = 'Edition à finaliser et à soumettre'\n\n def on_enter(self, workflow):\n case = workflow.case\n case.active = True\n case.editable = True\n\n def task_owners(self, workflow):\n case = workflow.case\n return {u for u in [case.gestionnaire, case.porteur] if u}\n\n\nclass EnValidation(State):\n label = 'En cours de validation hiérarchique'\n label_short = 'En validation'\n next_action = 'Demande à considérer pour validation'\n\n def task_owners(self, workflow):\n demande = workflow.case\n if not demande.wf_stage:\n logger.warning(\n f\"Warning: la demande {demande.id} n'a pas de validation_stage\"\n )\n demande.wf_stage = next_validation_stage(demande)\n return demande.wf_stage.direction\n\n\ndef next_validation_stage(demande):\n from labster.domain.models.unites import DEPARTEMENT, EQUIPE, LABORATOIRE\n structure = demande.structure\n stage = demande.wf_stage\n if not stage:\n stage = structure\n if stage.type == EQUIPE and not structure.wf_must_validate(EQUIPE):\n stage = stage.parent\n if stage.type == DEPARTEMENT and not structure.wf_must_validate(\n DEPARTEMENT):\n stage = stage.parent\n if stage.type == LABORATOIRE and not structure.wf_must_validate(\n LABORATOIRE):\n stage = None\n assert stage is None or stage.type in [EQUIPE, DEPARTEMENT, LABORATOIRE\n ]\n return stage\n stage = stage.parent\n if not stage:\n return None\n if stage.type == DEPARTEMENT and not structure.wf_must_validate(DEPARTEMENT\n ):\n stage = stage.parent\n if not stage:\n return None\n if stage.type == LABORATOIRE and not structure.wf_must_validate(LABORATOIRE\n ):\n stage = None\n if not stage:\n return None\n if stage == None or stage.type in [DEPARTEMENT, LABORATOIRE]:\n return stage\n return None\n\n\nclass EnVerification(State):\n label = 'Recevabilité en cours de vérification'\n label_short = 'En vérification'\n next_action = 'Recevabilité à confirmer'\n\n def on_enter(self, workflow):\n workflow.set_value('ar_envoye', False)\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass EnInstruction(State):\n label = \"En cours d'instruction par la DR&I\"\n label_short = 'En instruction'\n next_action = 'Instruction à mener et finaliser'\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass Traitee(State):\n label = 'Traitée par la DR&I'\n label_short = 'Traitée'\n is_final = True\n\n\nclass Rejetee(State):\n label = 'Rejetée par la DR&I'\n label_short = 'Rejetée'\n is_final = True\n\n\nclass Abandonnee(State):\n label = 'Abandonnée par le porteur'\n label_short = 'Abandonnée'\n is_final = True\n\n\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n\n\nclass EnEdition(State):\n label = 'En édition'\n next_action = 'Edition à finaliser et à soumettre'\n\n def on_enter(self, workflow):\n case = workflow.case\n case.active = True\n case.editable = True\n\n def task_owners(self, workflow):\n case = workflow.case\n return {u for u in [case.gestionnaire, case.porteur] if u}\n\n\nclass EnValidation(State):\n label = 'En cours de validation hiérarchique'\n label_short = 'En validation'\n next_action = 'Demande à considérer pour validation'\n\n def task_owners(self, workflow):\n demande = workflow.case\n if not demande.wf_stage:\n logger.warning(\n f\"Warning: la demande {demande.id} n'a pas de validation_stage\"\n )\n demande.wf_stage = next_validation_stage(demande)\n return demande.wf_stage.direction\n\n\n<function token>\n\n\nclass EnVerification(State):\n label = 'Recevabilité en cours de vérification'\n label_short = 'En vérification'\n next_action = 'Recevabilité à confirmer'\n\n def on_enter(self, workflow):\n workflow.set_value('ar_envoye', False)\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass EnInstruction(State):\n label = \"En cours d'instruction par la DR&I\"\n label_short = 'En instruction'\n next_action = 'Instruction à mener et finaliser'\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass Traitee(State):\n label = 'Traitée par la DR&I'\n label_short = 'Traitée'\n is_final = True\n\n\nclass Rejetee(State):\n label = 'Rejetée par la DR&I'\n label_short = 'Rejetée'\n is_final = True\n\n\nclass Abandonnee(State):\n label = 'Abandonnée par le porteur'\n label_short = 'Abandonnée'\n is_final = True\n\n\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n\n\nclass EnEdition(State):\n <assignment token>\n <assignment token>\n\n def on_enter(self, workflow):\n case = workflow.case\n case.active = True\n case.editable = True\n\n def task_owners(self, workflow):\n case = workflow.case\n return {u for u in [case.gestionnaire, case.porteur] if u}\n\n\nclass EnValidation(State):\n label = 'En cours de validation hiérarchique'\n label_short = 'En validation'\n next_action = 'Demande à considérer pour validation'\n\n def task_owners(self, workflow):\n demande = workflow.case\n if not demande.wf_stage:\n logger.warning(\n f\"Warning: la demande {demande.id} n'a pas de validation_stage\"\n )\n demande.wf_stage = next_validation_stage(demande)\n return demande.wf_stage.direction\n\n\n<function token>\n\n\nclass EnVerification(State):\n label = 'Recevabilité en cours de vérification'\n label_short = 'En vérification'\n next_action = 'Recevabilité à confirmer'\n\n def on_enter(self, workflow):\n workflow.set_value('ar_envoye', False)\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass EnInstruction(State):\n label = \"En cours d'instruction par la DR&I\"\n label_short = 'En instruction'\n next_action = 'Instruction à mener et finaliser'\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass Traitee(State):\n label = 'Traitée par la DR&I'\n label_short = 'Traitée'\n is_final = True\n\n\nclass Rejetee(State):\n label = 'Rejetée par la DR&I'\n label_short = 'Rejetée'\n is_final = True\n\n\nclass Abandonnee(State):\n label = 'Abandonnée par le porteur'\n label_short = 'Abandonnée'\n is_final = True\n\n\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n\n\nclass EnEdition(State):\n <assignment token>\n <assignment token>\n <function token>\n\n def task_owners(self, workflow):\n case = workflow.case\n return {u for u in [case.gestionnaire, case.porteur] if u}\n\n\nclass EnValidation(State):\n label = 'En cours de validation hiérarchique'\n label_short = 'En validation'\n next_action = 'Demande à considérer pour validation'\n\n def task_owners(self, workflow):\n demande = workflow.case\n if not demande.wf_stage:\n logger.warning(\n f\"Warning: la demande {demande.id} n'a pas de validation_stage\"\n )\n demande.wf_stage = next_validation_stage(demande)\n return demande.wf_stage.direction\n\n\n<function token>\n\n\nclass EnVerification(State):\n label = 'Recevabilité en cours de vérification'\n label_short = 'En vérification'\n next_action = 'Recevabilité à confirmer'\n\n def on_enter(self, workflow):\n workflow.set_value('ar_envoye', False)\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass EnInstruction(State):\n label = \"En cours d'instruction par la DR&I\"\n label_short = 'En instruction'\n next_action = 'Instruction à mener et finaliser'\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass Traitee(State):\n label = 'Traitée par la DR&I'\n label_short = 'Traitée'\n is_final = True\n\n\nclass Rejetee(State):\n label = 'Rejetée par la DR&I'\n label_short = 'Rejetée'\n is_final = True\n\n\nclass Abandonnee(State):\n label = 'Abandonnée par le porteur'\n label_short = 'Abandonnée'\n is_final = True\n\n\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n\n\nclass EnEdition(State):\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n\n\nclass EnValidation(State):\n label = 'En cours de validation hiérarchique'\n label_short = 'En validation'\n next_action = 'Demande à considérer pour validation'\n\n def task_owners(self, workflow):\n demande = workflow.case\n if not demande.wf_stage:\n logger.warning(\n f\"Warning: la demande {demande.id} n'a pas de validation_stage\"\n )\n demande.wf_stage = next_validation_stage(demande)\n return demande.wf_stage.direction\n\n\n<function token>\n\n\nclass EnVerification(State):\n label = 'Recevabilité en cours de vérification'\n label_short = 'En vérification'\n next_action = 'Recevabilité à confirmer'\n\n def on_enter(self, workflow):\n workflow.set_value('ar_envoye', False)\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass EnInstruction(State):\n label = \"En cours d'instruction par la DR&I\"\n label_short = 'En instruction'\n next_action = 'Instruction à mener et finaliser'\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass Traitee(State):\n label = 'Traitée par la DR&I'\n label_short = 'Traitée'\n is_final = True\n\n\nclass Rejetee(State):\n label = 'Rejetée par la DR&I'\n label_short = 'Rejetée'\n is_final = True\n\n\nclass Abandonnee(State):\n label = 'Abandonnée par le porteur'\n label_short = 'Abandonnée'\n is_final = True\n\n\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n\n\nclass EnValidation(State):\n label = 'En cours de validation hiérarchique'\n label_short = 'En validation'\n next_action = 'Demande à considérer pour validation'\n\n def task_owners(self, workflow):\n demande = workflow.case\n if not demande.wf_stage:\n logger.warning(\n f\"Warning: la demande {demande.id} n'a pas de validation_stage\"\n )\n demande.wf_stage = next_validation_stage(demande)\n return demande.wf_stage.direction\n\n\n<function token>\n\n\nclass EnVerification(State):\n label = 'Recevabilité en cours de vérification'\n label_short = 'En vérification'\n next_action = 'Recevabilité à confirmer'\n\n def on_enter(self, workflow):\n workflow.set_value('ar_envoye', False)\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass EnInstruction(State):\n label = \"En cours d'instruction par la DR&I\"\n label_short = 'En instruction'\n next_action = 'Instruction à mener et finaliser'\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass Traitee(State):\n label = 'Traitée par la DR&I'\n label_short = 'Traitée'\n is_final = True\n\n\nclass Rejetee(State):\n label = 'Rejetée par la DR&I'\n label_short = 'Rejetée'\n is_final = True\n\n\nclass Abandonnee(State):\n label = 'Abandonnée par le porteur'\n label_short = 'Abandonnée'\n is_final = True\n\n\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n\n\nclass EnValidation(State):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def task_owners(self, workflow):\n demande = workflow.case\n if not demande.wf_stage:\n logger.warning(\n f\"Warning: la demande {demande.id} n'a pas de validation_stage\"\n )\n demande.wf_stage = next_validation_stage(demande)\n return demande.wf_stage.direction\n\n\n<function token>\n\n\nclass EnVerification(State):\n label = 'Recevabilité en cours de vérification'\n label_short = 'En vérification'\n next_action = 'Recevabilité à confirmer'\n\n def on_enter(self, workflow):\n workflow.set_value('ar_envoye', False)\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass EnInstruction(State):\n label = \"En cours d'instruction par la DR&I\"\n label_short = 'En instruction'\n next_action = 'Instruction à mener et finaliser'\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass Traitee(State):\n label = 'Traitée par la DR&I'\n label_short = 'Traitée'\n is_final = True\n\n\nclass Rejetee(State):\n label = 'Rejetée par la DR&I'\n label_short = 'Rejetée'\n is_final = True\n\n\nclass Abandonnee(State):\n label = 'Abandonnée par le porteur'\n label_short = 'Abandonnée'\n is_final = True\n\n\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n\n\nclass EnValidation(State):\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n\n\n<function token>\n\n\nclass EnVerification(State):\n label = 'Recevabilité en cours de vérification'\n label_short = 'En vérification'\n next_action = 'Recevabilité à confirmer'\n\n def on_enter(self, workflow):\n workflow.set_value('ar_envoye', False)\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass EnInstruction(State):\n label = \"En cours d'instruction par la DR&I\"\n label_short = 'En instruction'\n next_action = 'Instruction à mener et finaliser'\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass Traitee(State):\n label = 'Traitée par la DR&I'\n label_short = 'Traitée'\n is_final = True\n\n\nclass Rejetee(State):\n label = 'Rejetée par la DR&I'\n label_short = 'Rejetée'\n is_final = True\n\n\nclass Abandonnee(State):\n label = 'Abandonnée par le porteur'\n label_short = 'Abandonnée'\n is_final = True\n\n\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n\n\nclass EnVerification(State):\n label = 'Recevabilité en cours de vérification'\n label_short = 'En vérification'\n next_action = 'Recevabilité à confirmer'\n\n def on_enter(self, workflow):\n workflow.set_value('ar_envoye', False)\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass EnInstruction(State):\n label = \"En cours d'instruction par la DR&I\"\n label_short = 'En instruction'\n next_action = 'Instruction à mener et finaliser'\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass Traitee(State):\n label = 'Traitée par la DR&I'\n label_short = 'Traitée'\n is_final = True\n\n\nclass Rejetee(State):\n label = 'Rejetée par la DR&I'\n label_short = 'Rejetée'\n is_final = True\n\n\nclass Abandonnee(State):\n label = 'Abandonnée par le porteur'\n label_short = 'Abandonnée'\n is_final = True\n\n\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n\n\nclass EnVerification(State):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def on_enter(self, workflow):\n workflow.set_value('ar_envoye', False)\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass EnInstruction(State):\n label = \"En cours d'instruction par la DR&I\"\n label_short = 'En instruction'\n next_action = 'Instruction à mener et finaliser'\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass Traitee(State):\n label = 'Traitée par la DR&I'\n label_short = 'Traitée'\n is_final = True\n\n\nclass Rejetee(State):\n label = 'Rejetée par la DR&I'\n label_short = 'Rejetée'\n is_final = True\n\n\nclass Abandonnee(State):\n label = 'Abandonnée par le porteur'\n label_short = 'Abandonnée'\n is_final = True\n\n\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n\n\nclass EnVerification(State):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def on_enter(self, workflow):\n workflow.set_value('ar_envoye', False)\n <function token>\n\n\nclass EnInstruction(State):\n label = \"En cours d'instruction par la DR&I\"\n label_short = 'En instruction'\n next_action = 'Instruction à mener et finaliser'\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass Traitee(State):\n label = 'Traitée par la DR&I'\n label_short = 'Traitée'\n is_final = True\n\n\nclass Rejetee(State):\n label = 'Rejetée par la DR&I'\n label_short = 'Rejetée'\n is_final = True\n\n\nclass Abandonnee(State):\n label = 'Abandonnée par le porteur'\n label_short = 'Abandonnée'\n is_final = True\n\n\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n\n\nclass EnVerification(State):\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n\n\nclass EnInstruction(State):\n label = \"En cours d'instruction par la DR&I\"\n label_short = 'En instruction'\n next_action = 'Instruction à mener et finaliser'\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass Traitee(State):\n label = 'Traitée par la DR&I'\n label_short = 'Traitée'\n is_final = True\n\n\nclass Rejetee(State):\n label = 'Rejetée par la DR&I'\n label_short = 'Rejetée'\n is_final = True\n\n\nclass Abandonnee(State):\n label = 'Abandonnée par le porteur'\n label_short = 'Abandonnée'\n is_final = True\n\n\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n\n\nclass EnInstruction(State):\n label = \"En cours d'instruction par la DR&I\"\n label_short = 'En instruction'\n next_action = 'Instruction à mener et finaliser'\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass Traitee(State):\n label = 'Traitée par la DR&I'\n label_short = 'Traitée'\n is_final = True\n\n\nclass Rejetee(State):\n label = 'Rejetée par la DR&I'\n label_short = 'Rejetée'\n is_final = True\n\n\nclass Abandonnee(State):\n label = 'Abandonnée par le porteur'\n label_short = 'Abandonnée'\n is_final = True\n\n\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n\n\nclass EnInstruction(State):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def task_owners(self, workflow):\n case = workflow.case\n if case.contact_dgrtt:\n return [case.contact_dgrtt]\n else:\n return []\n\n\nclass Traitee(State):\n label = 'Traitée par la DR&I'\n label_short = 'Traitée'\n is_final = True\n\n\nclass Rejetee(State):\n label = 'Rejetée par la DR&I'\n label_short = 'Rejetée'\n is_final = True\n\n\nclass Abandonnee(State):\n label = 'Abandonnée par le porteur'\n label_short = 'Abandonnée'\n is_final = True\n\n\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n\n\nclass EnInstruction(State):\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n\n\nclass Traitee(State):\n label = 'Traitée par la DR&I'\n label_short = 'Traitée'\n is_final = True\n\n\nclass Rejetee(State):\n label = 'Rejetée par la DR&I'\n label_short = 'Rejetée'\n is_final = True\n\n\nclass Abandonnee(State):\n label = 'Abandonnée par le porteur'\n label_short = 'Abandonnée'\n is_final = True\n\n\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n\n\nclass Traitee(State):\n label = 'Traitée par la DR&I'\n label_short = 'Traitée'\n is_final = True\n\n\nclass Rejetee(State):\n label = 'Rejetée par la DR&I'\n label_short = 'Rejetée'\n is_final = True\n\n\nclass Abandonnee(State):\n label = 'Abandonnée par le porteur'\n label_short = 'Abandonnée'\n is_final = True\n\n\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n\n\nclass Traitee(State):\n <assignment token>\n <assignment token>\n <assignment token>\n\n\nclass Rejetee(State):\n label = 'Rejetée par la DR&I'\n label_short = 'Rejetée'\n is_final = True\n\n\nclass Abandonnee(State):\n label = 'Abandonnée par le porteur'\n label_short = 'Abandonnée'\n is_final = True\n\n\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n\n\nclass Rejetee(State):\n label = 'Rejetée par la DR&I'\n label_short = 'Rejetée'\n is_final = True\n\n\nclass Abandonnee(State):\n label = 'Abandonnée par le porteur'\n label_short = 'Abandonnée'\n is_final = True\n\n\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n\n\nclass Rejetee(State):\n <assignment token>\n <assignment token>\n <assignment token>\n\n\nclass Abandonnee(State):\n label = 'Abandonnée par le porteur'\n label_short = 'Abandonnée'\n is_final = True\n\n\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Abandonnee(State):\n label = 'Abandonnée par le porteur'\n label_short = 'Abandonnée'\n is_final = True\n\n\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Abandonnee(State):\n <assignment token>\n <assignment token>\n <assignment token>\n\n\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n label = 'Abandonner la demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = ABANDONNEE\n message = '{actor} a abandonné la demande.'\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n return workflow.actor_is_porteur_or_gdl()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if old_state == EN_EDITION:\n return []\n if old_state == EN_VALIDATION:\n return case.owners + case.structure.direction\n if old_state in (EN_VERIFICATION, EN_INSTRUCTION):\n return case.owners + [case.contact_dgrtt]\n raise RuntimeError(f'Unknown state: {old_state}')\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n\n\nclass Abandonner(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n\n\nclass Desarchiver(Transition):\n label = 'Désarchiver la demande'\n category = 'danger'\n from_states = [ABANDONNEE, REJETEE, TRAITEE]\n message = '{actor} a désarchivé la demande.'\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n\n\nclass Desarchiver(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n\n\nclass Desarchiver(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n def apply(self, workflow, data):\n from labster.domain.models.demandes import Demande\n demande = workflow.case\n old_state_id = demande.wf_history[-1].get('old_state', 'EN_EDITION')\n old_state = workflow.get_state_by_id(old_state_id)\n old_state.enter(workflow)\n demande.active = True\n demande.editable = True\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n <function token>\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n\n\nclass Desarchiver(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n <function token>\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n\n\nclass Desarchiver(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n\n\nclass Soumettre(Transition):\n label = 'Soumettre la demande'\n from_states = [EN_EDITION]\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n\n\nclass Soumettre(Transition):\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n\n def message(self, workflow):\n if workflow.get_value('validee_hierarchie'):\n return (\n '{actor} a resoumis sa demande sans revalidation hiérarchique')\n else:\n return '{actor} a soumis sa demande pour validation hiérarchique.'\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n\n\nclass Soumettre(Transition):\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n <function token>\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if workflow.get_value('validee_hierarchie'):\n return [case.contact_dgrtt]\n else:\n return case.wf_stage.direction\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n\n\nclass Soumettre(Transition):\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n demande = workflow.case\n structure = demande.structure\n if not demande.is_valid():\n return False\n if workflow.actor == demande.porteur:\n return True\n if (workflow.actor.structure and workflow.actor.structure.\n permettre_soummission_directe and workflow.actor in workflow.\n actor.structure.get_gestionnaires()):\n return True\n if (structure.permettre_soummission_directe and workflow.actor in\n structure.get_gestionnaires()):\n return True\n if (workflow.get_value('validee_hierarchie') and structure.\n permettre_reponse_directe and workflow.actor == demande.\n gestionnaire):\n return True\n return False\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n <function token>\n <function token>\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n\n\nclass Soumettre(Transition):\n <assignment token>\n <assignment token>\n <function token>\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.editable = False\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n if workflow.get_value('validee_hierarchie'):\n if workflow.get_value('recevable'):\n EN_INSTRUCTION.enter(workflow)\n else:\n EN_VERIFICATION.enter(workflow)\n else:\n demande.wf_stage = next_validation_stage(demande)\n EN_VALIDATION.enter(workflow)\n <function token>\n <function token>\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n\n\nclass Soumettre(Transition):\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True)\n return WorkflowForm()\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n\n\nclass Soumettre(Transition):\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n\n\nclass AbstractPrendreLaMain(Transition):\n label = 'Prendre la main sur la demande'\n category = 'danger'\n message = '{actor} a pris la main sur la demande.'\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n\n\nclass AbstractPrendreLaMain(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def get_users_to_notify(self, workflow, old_state):\n from labster.domain.models.profiles import Profile\n case = workflow.case\n actor = workflow.actor\n user_ids = {entry['actor_id'] for entry in case.wf_history}\n users = []\n for id in user_ids:\n try:\n user = Profile.query.get(id)\n if user != actor:\n users.append(user)\n except Exception:\n pass\n return users\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n\n\nclass AbstractPrendreLaMain(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n <assignment token>\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('gestionnaire', case) and actor not in (case.\n gestionnaire, case.porteur)\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n <assignment token>\n <function token>\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.gestionnaire = actor\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass PrendreLaMainGestionnaire(AbstractPrendreLaMain):\n <assignment token>\n <function token>\n <function token>\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n from_states = ACTIVE_STATES\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n <assignment token>\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n\n def apply(self, workflow, data):\n case = workflow.case\n actor = workflow.actor\n case.contact_dgrtt = actor\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n <assignment token>\n\n def precondition(self, workflow):\n case = workflow.case\n actor = workflow.actor\n return actor.has_role('dgrtt') and not actor == case.contact_dgrtt\n <function token>\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass PrendreLaMainDgrtt(AbstractPrendreLaMain):\n <assignment token>\n <function token>\n <function token>\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ValiderDir(Transition):\n label = 'Valider la demande'\n from_states = [EN_VALIDATION]\n message = 'Demande validée par la hiérarchie ({actor}).'\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ValiderDir(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ValiderDir(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.assigne_contact_dgrtt()\n workflow.set_value('validee_hierarchie', True)\n demande.date_effective = date.today()\n next_stage = next_validation_stage(demande)\n demande.wf_stage = next_stage\n if not next_stage:\n EN_VERIFICATION.enter(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ValiderDir(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n if case.contact_dgrtt:\n return case.owners + [case.contact_dgrtt]\n else:\n return case.owners\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ValiderDir(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RequerirModificationDir(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VALIDATION]\n to_state = EN_EDITION\n message = (\n 'Demande de compléments / modifications par {actor} (direction labo/département/équipe) pour vérification de recevabilité.'\n )\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RequerirModificationDir(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RequerirModificationDir(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n return workflow.actor in workflow.state.task_owners(workflow)\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n <function token>\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RequerirModificationDir(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n\n def apply(self, workflow, data):\n demande = workflow.case\n demande.wf_stage = None\n workflow.set_value('validee_hierarchie', False)\n <function token>\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RequerirModificationDir(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RequerirModificationDir(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass AccuserReception(Transition):\n label = 'Accuser réception en attendant vérification ultérieure'\n from_states = [EN_VERIFICATION]\n to_state = EN_VERIFICATION\n message = 'Accusé de réception envoyé par {actor} (contact).'\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass AccuserReception(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt() and not workflow.get_value(\n 'ar_envoye', False)\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass AccuserReception(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n\n def apply(self, workflow, data):\n workflow.set_value('ar_envoye', True)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass AccuserReception(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass AccuserReception(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RequerirModificationDgrtt(Transition):\n label = 'Requérir modification / complément'\n from_states = [EN_VERIFICATION, EN_INSTRUCTION]\n to_state = EN_EDITION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RequerirModificationDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n\n def message(self, workflow):\n if workflow.state == EN_VERIFICATION:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour vérification de recevabilité.'\n )\n else:\n return (\n 'Demande de compléments / modifications par {actor} (contact) pour instruction.'\n )\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RequerirModificationDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n <function token>\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RequerirModificationDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n if data.get('resoumission'):\n workflow.set_value('validee_hierarchie', False)\n <function token>\n <function token>\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RequerirModificationDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n <function token>\n <function token>\n <function token>\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RequerirModificationDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def get_form(self, workflow, **kw):\n if workflow.get_value('validee_hierarchie'):\n return WorkflowForm(ask_for_revalidation=True, require_note=True)\n return WorkflowForm(require_note=True)\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RequerirModificationDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n label = 'Confirmer recevabilité'\n from_states = [EN_VERIFICATION]\n to_state = EN_INSTRUCTION\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def apply(self, workflow, data):\n workflow.set_value('recevable', True)\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n <function token>\n\n def send_notification(self, workflow):\n case = workflow.case\n subject = 'Recevabilité de votre demande par la DR&I'\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n send_email(case.owners, subject, 'notif-demande-recevable.html', ctx)\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n <function token>\n <function token>\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n\n def message(self, workflow):\n demande = workflow.case\n tpl = (\n 'Recevabilité confirmée par {actor} (contact). No Infolab: %s.' %\n demande.no_infolab)\n return tpl\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n <function token>\n <function token>\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n <function token>\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n <function token>\n <function token>\n <function token>\n\n def get_form(self, workflow, **kw):\n return ConfirmerRecevabiliteForm()\n <function token>\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ConfirmerRecevabiliteDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n label = 'Confirmer finalisation'\n from_states = [EN_INSTRUCTION]\n to_state = TRAITEE\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def get_form(self, workflow, **kw):\n return ConfirmerFinalisationForm()\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n <function token>\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Finalisation de votre demande par la DR&I'\n du = case.laboratoire.direction\n recipients = case.owners + du\n send_email(recipients, subject, 'notif-demande-finalisee.html', ctx)\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n return workflow.actor_is_contact_dgrtt()\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n <function token>\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n <function token>\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n <function token>\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n <function token>\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n <function token>\n\n def message(self, workflow):\n demande = workflow.case\n tpl = ('Traitement finalisé par {actor} (contact).No eOTP: %s.' %\n demande.no_eotp)\n return tpl\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n <function token>\n <function token>\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ConfirmerFinalisationDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RejeterDgrtt(Transition):\n label = 'Rejeter / abandonner demande'\n category = 'danger'\n from_states = [EN_EDITION, EN_VALIDATION, EN_VERIFICATION, EN_INSTRUCTION]\n to_state = REJETEE\n message = 'Demande rejetée / abandonnées par {actor} (contact).'\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RejeterDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n\n def get_users_to_notify(self, workflow, old_state):\n case = workflow.case\n return case.owners\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RejeterDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n actor = workflow.actor\n return actor.has_role('dgrtt')\n <function token>\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RejeterDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RejeterDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Rejet de votre demande par la DR&I'\n send_email(case.owners, subject, 'notif-demande-rejetee.html', ctx)\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RejeterDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RejeterDgrtt(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Commenter(Transition):\n label = 'Envoyer un message'\n category = 'success'\n from_states = [EN_EDITION, EN_VERIFICATION, EN_INSTRUCTION]\n message = '{actor} a posté le commentaire ou la question suivante: '\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Commenter(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n def precondition(self, workflow):\n actor = workflow.actor\n demande = workflow.case\n if workflow.state == EN_EDITION and not demande.contact_dgrtt:\n return False\n return actor in self._get_stakeholder(workflow)\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Commenter(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n\n def _get_stakeholder(self, workflow):\n from .profiles import Profile\n from .unites import OrgUnit\n demande = workflow.case\n structure = demande.structure\n stakeholders = set(demande.owners)\n if demande.contact_dgrtt:\n stakeholders.add(demande.contact_dgrtt)\n directeurs = structure.get_directeurs()\n for directeur in directeurs:\n stakeholders.add(directeur)\n for history_item in demande.wf_history:\n actor_id = history_item['actor_id']\n if actor_id:\n actor = Profile.query.get(actor_id)\n stakeholders.add(actor)\n return stakeholders\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Commenter(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n\n def get_users_to_notify(self, workflow, old_state):\n return self._get_stakeholder(workflow)\n <function token>\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Commenter(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n\n def get_form(self, workflow, **kw):\n return WorkflowForm(require_note=True)\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Commenter(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n\n def send_notification(self, workflow):\n case = workflow.case\n ctx = {'transition': self, 'demande': case, 'workflow': workflow,\n 'now': datetime.now()}\n subject = 'Un commentaire sur votre demande'\n send_email(case.owners, subject, 'notif-demande-comment.html', ctx)\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Commenter(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def apply(self, workflow, data):\n self.send_notification(workflow)\n <function token>\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Commenter(Transition):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n initial_state = EN_EDITION\n states = ALL_STATES\n transitions = [SOUMETTRE, PRENDRE_LA_MAIN_GESTIONNAIRE, VALIDER_DIR,\n PRENDRE_LA_MAIN_DGRTT, REQUERIR_MODIFICATION_DIR, ACCUSER_RECEPTION,\n CONFIRMER_RECEVABILITE_DGRTT, CONFIRMER_FINALISATION_DGRTT,\n REQUERIR_MODIFICATION_DGRTT, REJETER_DGRTT, ABANDONNER, DESARCHIVER,\n COMMENTER]\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def actor_is_contact_dgrtt(self):\n return self.actor == self.case.contact_dgrtt\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n\n def actor_is_porteur_or_gdl(self):\n return self.actor in (self.case.porteur, self.case.gestionnaire)\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n\n\nclass LabsterWorkflow(Workflow):\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<function token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<class token>\n" ]
false
98,617
4adcd2fbfab9ad148ae35a345f09d23dc8389035
expected_output = { "GigabitEthernet0/0/0/1.501": { "status": "up", "outer_vlan": ".1Q:501", "vlan_id": "501", "mtu": 1518, "rewrite_num_of_tags_pop": 1, "rewrite_num_of_tags_push": 0, } }
[ "expected_output = {\n \"GigabitEthernet0/0/0/1.501\": {\n \"status\": \"up\",\n \"outer_vlan\": \".1Q:501\",\n \"vlan_id\": \"501\",\n \"mtu\": 1518,\n \"rewrite_num_of_tags_pop\": 1,\n \"rewrite_num_of_tags_push\": 0,\n }\n }", "expected_output = {'GigabitEthernet0/0/0/1.501': {'status': 'up',\n 'outer_vlan': '.1Q:501', 'vlan_id': '501', 'mtu': 1518,\n 'rewrite_num_of_tags_pop': 1, 'rewrite_num_of_tags_push': 0}}\n", "<assignment token>\n" ]
false
98,618
d58c5a9d6dc09b0604f5985d080417432aabb0aa
print("Hello text") print(7) greeting = "Hello" print(greeting) # greeting2 = input("Write a greeting: ") # print(greeting2) a = 2 b = 3 print(a + b) print(type(2)) # age = input("Enter your age: ") # new_age = int(age) + 50 # print(new_age) print(3**2) newgret = greeting.replace("e", "i") newgret = greeting.replace("e", "i", 1) print(newgret) # print(dir(newgret)) print(newgret[0]) print(newgret[-1]) print(newgret[0:3]) print(newgret[:4]) print(newgret[3:]) # List mutable c = ["H", 2, "Hello"] print(c) print(type(c[1])) c.append(4) print(c) c.remove("H") print(c) # Tuple not mutable t = ("Hello", 2 , 4.6) print(t) # Dictionary unordered d = {"Name" : "John", "Surname" : "Smith", "Cities": ("Porto", "San diego", "Bali")} print(d) print(d["Name"]) print(d["Cities"][1]) def minutes_to_hours(seconds, minutes=70): hours = (minutes / 60.0) + (seconds / 3600) return hours print(minutes_to_hours(300)) # def age_foo(age): # new_age = float(age) + 50 # return new_age # age = input("Enter your age: ") # if age < 150: # print(age_foo(age)) # else: # print("How it is possible?") a = 5 if a < 5: print("less than 5") elif a == 5: print("equal to 5") else: print("equal or greater than 5") emails = ['[email protected]', '[email protected]', '[email protected]'] for email in emails: if 'gmail' in email: print(email) # def currency_converter(rate, euros): # dollars = euros * rate # return dollars # r = input("Enter rate: ") # e = input("Enter euros: ") # print(currency_converter(r, e)) # password = "" # while password != "python123": # password = input("Enter password: ") # if password == 'python123': # print("You are logged in!") # else: # print("Sorry, try again!") names=['james', 'john', 'jack'] email_domains=['gmail', 'yahoo'] for i,j in zip(names, email_domains): print(i, j) file = open("example.txt", "r") content = file.read() print(content) file.seek(0) content2 = file.readlines() print(content2) content2 = [i.rstrip("\n") for i in content2] print(content2) file = open("example.txt", "w") file.write("Line 1\n") file.write("Line 2\n") for i in range(10): file.write("Line " + str(i) + "\n") file = open("example.txt", "a") file.write("Line 11\n") file.close() with open("example.txt", "a+") as file: file.seek(0) content = file.read() print(content) import os print(os.listdir(".")) print(os.__file__) """ This script creates an empty file """ def create_file(): """ This function creates an empty file """ with open("example.txt", "w") as file: file.write("") import datetime print(datetime.datetime.now()) print(datetime.datetime(2016, 5, 13, 11)) print((datetime.datetime.now() - datetime.datetime(2016, 5, 13, 11)).days) print(datetime.datetime.now().strftime("%Y-%m-%d-%H")) print(datetime.datetime.now()+datetime.timedelta(days=2)) import time lst = [] for i in range(5): lst.append(str(datetime.datetime.now())) #time.sleep(1) print(lst)
[ "print(\"Hello text\")\nprint(7)\ngreeting = \"Hello\"\nprint(greeting)\n\n# greeting2 = input(\"Write a greeting: \")\n# print(greeting2)\n\na = 2\nb = 3\n\nprint(a + b)\nprint(type(2))\n\n# age = input(\"Enter your age: \")\n# new_age = int(age) + 50\n# print(new_age)\n\nprint(3**2)\n\nnewgret = greeting.replace(\"e\", \"i\")\nnewgret = greeting.replace(\"e\", \"i\", 1)\nprint(newgret)\n\n# print(dir(newgret))\n\nprint(newgret[0])\nprint(newgret[-1])\nprint(newgret[0:3])\nprint(newgret[:4])\nprint(newgret[3:])\n\n# List mutable\nc = [\"H\", 2, \"Hello\"]\nprint(c)\nprint(type(c[1]))\nc.append(4)\nprint(c)\nc.remove(\"H\")\nprint(c)\n\n# Tuple not mutable\nt = (\"Hello\", 2 , 4.6)\nprint(t)\n\n# Dictionary unordered\nd = {\"Name\" : \"John\", \"Surname\" : \"Smith\", \"Cities\": (\"Porto\", \"San diego\", \"Bali\")}\nprint(d)\nprint(d[\"Name\"])\nprint(d[\"Cities\"][1])\n\ndef minutes_to_hours(seconds, minutes=70):\n hours = (minutes / 60.0) + (seconds / 3600)\n return hours\n\nprint(minutes_to_hours(300))\n\n# def age_foo(age):\n# new_age = float(age) + 50\n# return new_age\n\n# age = input(\"Enter your age: \")\n\n# if age < 150:\n# print(age_foo(age))\n# else:\n# print(\"How it is possible?\")\n\na = 5\n\nif a < 5:\n print(\"less than 5\")\nelif a == 5:\n print(\"equal to 5\")\nelse:\n print(\"equal or greater than 5\")\n\nemails = ['[email protected]', '[email protected]', '[email protected]']\nfor email in emails:\n if 'gmail' in email:\n print(email)\n\n# def currency_converter(rate, euros):\n# dollars = euros * rate\n# return dollars\n# r = input(\"Enter rate: \")\n# e = input(\"Enter euros: \")\n# print(currency_converter(r, e))\n\n# password = \"\"\n# while password != \"python123\":\n# password = input(\"Enter password: \")\n# if password == 'python123':\n# print(\"You are logged in!\")\n# else:\n# print(\"Sorry, try again!\")\n\nnames=['james', 'john', 'jack']\nemail_domains=['gmail', 'yahoo']\n\nfor i,j in zip(names, email_domains):\n print(i, j)\n\nfile = open(\"example.txt\", \"r\")\ncontent = file.read()\nprint(content)\nfile.seek(0)\ncontent2 = file.readlines()\nprint(content2)\n\ncontent2 = [i.rstrip(\"\\n\") for i in content2]\nprint(content2)\n\nfile = open(\"example.txt\", \"w\")\nfile.write(\"Line 1\\n\")\nfile.write(\"Line 2\\n\")\n\nfor i in range(10):\n file.write(\"Line \" + str(i) + \"\\n\")\n\nfile = open(\"example.txt\", \"a\")\nfile.write(\"Line 11\\n\")\nfile.close()\n\nwith open(\"example.txt\", \"a+\") as file:\n file.seek(0)\n content = file.read()\n print(content)\n\nimport os\nprint(os.listdir(\".\"))\nprint(os.__file__)\n\n\"\"\"\nThis script creates an empty file\n\"\"\"\ndef create_file():\n \"\"\"\n This function creates an empty file\n \"\"\"\n with open(\"example.txt\", \"w\") as file:\n file.write(\"\")\n\nimport datetime\nprint(datetime.datetime.now())\nprint(datetime.datetime(2016, 5, 13, 11))\nprint((datetime.datetime.now() - datetime.datetime(2016, 5, 13, 11)).days)\nprint(datetime.datetime.now().strftime(\"%Y-%m-%d-%H\"))\nprint(datetime.datetime.now()+datetime.timedelta(days=2))\n\nimport time\nlst = []\nfor i in range(5):\n lst.append(str(datetime.datetime.now()))\n #time.sleep(1)\nprint(lst)", "print('Hello text')\nprint(7)\ngreeting = 'Hello'\nprint(greeting)\na = 2\nb = 3\nprint(a + b)\nprint(type(2))\nprint(3 ** 2)\nnewgret = greeting.replace('e', 'i')\nnewgret = greeting.replace('e', 'i', 1)\nprint(newgret)\nprint(newgret[0])\nprint(newgret[-1])\nprint(newgret[0:3])\nprint(newgret[:4])\nprint(newgret[3:])\nc = ['H', 2, 'Hello']\nprint(c)\nprint(type(c[1]))\nc.append(4)\nprint(c)\nc.remove('H')\nprint(c)\nt = 'Hello', 2, 4.6\nprint(t)\nd = {'Name': 'John', 'Surname': 'Smith', 'Cities': ('Porto', 'San diego',\n 'Bali')}\nprint(d)\nprint(d['Name'])\nprint(d['Cities'][1])\n\n\ndef minutes_to_hours(seconds, minutes=70):\n hours = minutes / 60.0 + seconds / 3600\n return hours\n\n\nprint(minutes_to_hours(300))\na = 5\nif a < 5:\n print('less than 5')\nelif a == 5:\n print('equal to 5')\nelse:\n print('equal or greater than 5')\nemails = ['[email protected]', '[email protected]', '[email protected]']\nfor email in emails:\n if 'gmail' in email:\n print(email)\nnames = ['james', 'john', 'jack']\nemail_domains = ['gmail', 'yahoo']\nfor i, j in zip(names, email_domains):\n print(i, j)\nfile = open('example.txt', 'r')\ncontent = file.read()\nprint(content)\nfile.seek(0)\ncontent2 = file.readlines()\nprint(content2)\ncontent2 = [i.rstrip('\\n') for i in content2]\nprint(content2)\nfile = open('example.txt', 'w')\nfile.write('Line 1\\n')\nfile.write('Line 2\\n')\nfor i in range(10):\n file.write('Line ' + str(i) + '\\n')\nfile = open('example.txt', 'a')\nfile.write('Line 11\\n')\nfile.close()\nwith open('example.txt', 'a+') as file:\n file.seek(0)\n content = file.read()\n print(content)\nimport os\nprint(os.listdir('.'))\nprint(os.__file__)\n<docstring token>\n\n\ndef create_file():\n \"\"\"\n This function creates an empty file\n \"\"\"\n with open('example.txt', 'w') as file:\n file.write('')\n\n\nimport datetime\nprint(datetime.datetime.now())\nprint(datetime.datetime(2016, 5, 13, 11))\nprint((datetime.datetime.now() - datetime.datetime(2016, 5, 13, 11)).days)\nprint(datetime.datetime.now().strftime('%Y-%m-%d-%H'))\nprint(datetime.datetime.now() + datetime.timedelta(days=2))\nimport time\nlst = []\nfor i in range(5):\n lst.append(str(datetime.datetime.now()))\nprint(lst)\n", "print('Hello text')\nprint(7)\ngreeting = 'Hello'\nprint(greeting)\na = 2\nb = 3\nprint(a + b)\nprint(type(2))\nprint(3 ** 2)\nnewgret = greeting.replace('e', 'i')\nnewgret = greeting.replace('e', 'i', 1)\nprint(newgret)\nprint(newgret[0])\nprint(newgret[-1])\nprint(newgret[0:3])\nprint(newgret[:4])\nprint(newgret[3:])\nc = ['H', 2, 'Hello']\nprint(c)\nprint(type(c[1]))\nc.append(4)\nprint(c)\nc.remove('H')\nprint(c)\nt = 'Hello', 2, 4.6\nprint(t)\nd = {'Name': 'John', 'Surname': 'Smith', 'Cities': ('Porto', 'San diego',\n 'Bali')}\nprint(d)\nprint(d['Name'])\nprint(d['Cities'][1])\n\n\ndef minutes_to_hours(seconds, minutes=70):\n hours = minutes / 60.0 + seconds / 3600\n return hours\n\n\nprint(minutes_to_hours(300))\na = 5\nif a < 5:\n print('less than 5')\nelif a == 5:\n print('equal to 5')\nelse:\n print('equal or greater than 5')\nemails = ['[email protected]', '[email protected]', '[email protected]']\nfor email in emails:\n if 'gmail' in email:\n print(email)\nnames = ['james', 'john', 'jack']\nemail_domains = ['gmail', 'yahoo']\nfor i, j in zip(names, email_domains):\n print(i, j)\nfile = open('example.txt', 'r')\ncontent = file.read()\nprint(content)\nfile.seek(0)\ncontent2 = file.readlines()\nprint(content2)\ncontent2 = [i.rstrip('\\n') for i in content2]\nprint(content2)\nfile = open('example.txt', 'w')\nfile.write('Line 1\\n')\nfile.write('Line 2\\n')\nfor i in range(10):\n file.write('Line ' + str(i) + '\\n')\nfile = open('example.txt', 'a')\nfile.write('Line 11\\n')\nfile.close()\nwith open('example.txt', 'a+') as file:\n file.seek(0)\n content = file.read()\n print(content)\n<import token>\nprint(os.listdir('.'))\nprint(os.__file__)\n<docstring token>\n\n\ndef create_file():\n \"\"\"\n This function creates an empty file\n \"\"\"\n with open('example.txt', 'w') as file:\n file.write('')\n\n\n<import token>\nprint(datetime.datetime.now())\nprint(datetime.datetime(2016, 5, 13, 11))\nprint((datetime.datetime.now() - datetime.datetime(2016, 5, 13, 11)).days)\nprint(datetime.datetime.now().strftime('%Y-%m-%d-%H'))\nprint(datetime.datetime.now() + datetime.timedelta(days=2))\n<import token>\nlst = []\nfor i in range(5):\n lst.append(str(datetime.datetime.now()))\nprint(lst)\n", "print('Hello text')\nprint(7)\n<assignment token>\nprint(greeting)\n<assignment token>\nprint(a + b)\nprint(type(2))\nprint(3 ** 2)\n<assignment token>\nprint(newgret)\nprint(newgret[0])\nprint(newgret[-1])\nprint(newgret[0:3])\nprint(newgret[:4])\nprint(newgret[3:])\n<assignment token>\nprint(c)\nprint(type(c[1]))\nc.append(4)\nprint(c)\nc.remove('H')\nprint(c)\n<assignment token>\nprint(t)\n<assignment token>\nprint(d)\nprint(d['Name'])\nprint(d['Cities'][1])\n\n\ndef minutes_to_hours(seconds, minutes=70):\n hours = minutes / 60.0 + seconds / 3600\n return hours\n\n\nprint(minutes_to_hours(300))\n<assignment token>\nif a < 5:\n print('less than 5')\nelif a == 5:\n print('equal to 5')\nelse:\n print('equal or greater than 5')\n<assignment token>\nfor email in emails:\n if 'gmail' in email:\n print(email)\n<assignment token>\nfor i, j in zip(names, email_domains):\n print(i, j)\n<assignment token>\nprint(content)\nfile.seek(0)\n<assignment token>\nprint(content2)\n<assignment token>\nprint(content2)\n<assignment token>\nfile.write('Line 1\\n')\nfile.write('Line 2\\n')\nfor i in range(10):\n file.write('Line ' + str(i) + '\\n')\n<assignment token>\nfile.write('Line 11\\n')\nfile.close()\nwith open('example.txt', 'a+') as file:\n file.seek(0)\n content = file.read()\n print(content)\n<import token>\nprint(os.listdir('.'))\nprint(os.__file__)\n<docstring token>\n\n\ndef create_file():\n \"\"\"\n This function creates an empty file\n \"\"\"\n with open('example.txt', 'w') as file:\n file.write('')\n\n\n<import token>\nprint(datetime.datetime.now())\nprint(datetime.datetime(2016, 5, 13, 11))\nprint((datetime.datetime.now() - datetime.datetime(2016, 5, 13, 11)).days)\nprint(datetime.datetime.now().strftime('%Y-%m-%d-%H'))\nprint(datetime.datetime.now() + datetime.timedelta(days=2))\n<import token>\n<assignment token>\nfor i in range(5):\n lst.append(str(datetime.datetime.now()))\nprint(lst)\n", "<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n\n\ndef minutes_to_hours(seconds, minutes=70):\n hours = minutes / 60.0 + seconds / 3600\n return hours\n\n\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<import token>\n<code token>\n<docstring token>\n\n\ndef create_file():\n \"\"\"\n This function creates an empty file\n \"\"\"\n with open('example.txt', 'w') as file:\n file.write('')\n\n\n<import token>\n<code token>\n<import token>\n<assignment token>\n<code token>\n", "<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<function token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<import token>\n<code token>\n<docstring token>\n\n\ndef create_file():\n \"\"\"\n This function creates an empty file\n \"\"\"\n with open('example.txt', 'w') as file:\n file.write('')\n\n\n<import token>\n<code token>\n<import token>\n<assignment token>\n<code token>\n", "<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<function token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<import token>\n<code token>\n<docstring token>\n<function token>\n<import token>\n<code token>\n<import token>\n<assignment token>\n<code token>\n" ]
false
98,619
0107a7798e0d78943955318aa1789f5367d583de
"""Generate pruned datasets and train models""" import argparse import os import re import shutil import subprocess import tarfile import numpy as np PREPROCESS = "preprocess" TRAIN = "train" EVALUATE = "evaluate" def main(): """Identify model state with lowest validation set loss""" parser = argparse.ArgumentParser() parser.add_argument("-data_dir", required=True, help="Directory containing original data set in requisite folder structure (small part or all data)") parser.add_argument("-features_filename", required=True, help="Features cloudpickle file that provides that pruning information") parser.add_argument("-start_seed", type=int, default=1284171779) parser.add_argument("-num_datasets", type=int, default=20) parser.add_argument("-modes", choices=[PREPROCESS, TRAIN, EVALUATE], nargs="+", required=True) args = parser.parse_args() return pipeline(args) def pipeline(args): """Pipeline""" cwd = os.getcwd() run_dirs = [f"run_dir_{seed}" for seed in range(args.start_seed, args.start_seed + args.num_datasets)] if PREPROCESS in args.modes: condor_dir = f"{os.path.dirname(os.path.realpath(__file__))}/condor" for idx, run_dir in enumerate(run_dirs): # Make directory if not os.path.exists(run_dir): os.makedirs(run_dir) pruned_dir = f"{run_dir}/pruned" seed = args.start_seed + idx # Prune data cmd = (f"python -m mimic3ext.prune_data -data_dir {args.data_dir} -features_filename {args.features_filename}" f" -output_dir {pruned_dir} -randomize_features -seed {seed}") subprocess.check_call(cmd, shell=True) # Compress pruned data with tarfile.open(f"{run_dir}/pruned.tar.gz", "w:gz") as tar_fp: os.chdir(pruned_dir) for filename in os.listdir("."): tar_fp.add(filename) os.chdir(cwd) # Delete raw data files shutil.rmtree(pruned_dir) # Copy other files for filename in os.listdir(condor_dir): shutil.copy(f"{condor_dir}/{filename}", run_dir) if TRAIN in args.modes: for run_dir in run_dirs: os.chdir(run_dir) cmd = "condor_submit mimic.sub" subprocess.check_call(cmd, shell=True) os.chdir(cwd) if EVALUATE in args.modes: rocs = np.zeros((2, args.num_datasets)) prcs = np.zeros((2, args.num_datasets)) for idx, run_dir in enumerate(run_dirs): logs = [f"{run_dir}/train_test.log", f"{run_dir}/test_best.log"] for lidx, log in enumerate(logs): with open(log, "r") as log_file: for line in reversed(list(log_file)): match = re.search(r"AUC of (PRC|ROC) = (0\.\d+)", line) if match: dtype, value = match.groups() value = float(value) if dtype == "PRC": prcs[lidx, idx] = value elif dtype == "ROC": rocs[lidx, idx] = value break # Found both AUPRC and AUROC np.savez("aucs.npz", rocs=rocs, prcs=prcs) if __name__ == "__main__": main()
[ "\"\"\"Generate pruned datasets and train models\"\"\"\nimport argparse\nimport os\nimport re\nimport shutil\nimport subprocess\nimport tarfile\n\nimport numpy as np\n\n\nPREPROCESS = \"preprocess\"\nTRAIN = \"train\"\nEVALUATE = \"evaluate\"\n\n\ndef main():\n \"\"\"Identify model state with lowest validation set loss\"\"\"\n parser = argparse.ArgumentParser()\n parser.add_argument(\"-data_dir\", required=True, help=\"Directory containing original data set in requisite folder structure (small part or all data)\")\n parser.add_argument(\"-features_filename\", required=True, help=\"Features cloudpickle file that provides that pruning information\")\n parser.add_argument(\"-start_seed\", type=int, default=1284171779)\n parser.add_argument(\"-num_datasets\", type=int, default=20)\n parser.add_argument(\"-modes\", choices=[PREPROCESS, TRAIN, EVALUATE], nargs=\"+\", required=True)\n args = parser.parse_args()\n return pipeline(args)\n\n\ndef pipeline(args):\n \"\"\"Pipeline\"\"\"\n cwd = os.getcwd()\n run_dirs = [f\"run_dir_{seed}\" for seed in range(args.start_seed, args.start_seed + args.num_datasets)]\n if PREPROCESS in args.modes:\n condor_dir = f\"{os.path.dirname(os.path.realpath(__file__))}/condor\"\n for idx, run_dir in enumerate(run_dirs):\n # Make directory\n if not os.path.exists(run_dir):\n os.makedirs(run_dir)\n pruned_dir = f\"{run_dir}/pruned\"\n seed = args.start_seed + idx\n # Prune data\n cmd = (f\"python -m mimic3ext.prune_data -data_dir {args.data_dir} -features_filename {args.features_filename}\"\n f\" -output_dir {pruned_dir} -randomize_features -seed {seed}\")\n subprocess.check_call(cmd, shell=True)\n # Compress pruned data\n with tarfile.open(f\"{run_dir}/pruned.tar.gz\", \"w:gz\") as tar_fp:\n os.chdir(pruned_dir)\n for filename in os.listdir(\".\"):\n tar_fp.add(filename)\n os.chdir(cwd)\n # Delete raw data files\n shutil.rmtree(pruned_dir)\n # Copy other files\n for filename in os.listdir(condor_dir):\n shutil.copy(f\"{condor_dir}/{filename}\", run_dir)\n if TRAIN in args.modes:\n for run_dir in run_dirs:\n os.chdir(run_dir)\n cmd = \"condor_submit mimic.sub\"\n subprocess.check_call(cmd, shell=True)\n os.chdir(cwd)\n if EVALUATE in args.modes:\n rocs = np.zeros((2, args.num_datasets))\n prcs = np.zeros((2, args.num_datasets))\n for idx, run_dir in enumerate(run_dirs):\n logs = [f\"{run_dir}/train_test.log\", f\"{run_dir}/test_best.log\"]\n for lidx, log in enumerate(logs):\n with open(log, \"r\") as log_file:\n for line in reversed(list(log_file)):\n match = re.search(r\"AUC of (PRC|ROC) = (0\\.\\d+)\", line)\n if match:\n dtype, value = match.groups()\n value = float(value)\n if dtype == \"PRC\":\n prcs[lidx, idx] = value\n elif dtype == \"ROC\":\n rocs[lidx, idx] = value\n break # Found both AUPRC and AUROC\n np.savez(\"aucs.npz\", rocs=rocs, prcs=prcs)\n\n\nif __name__ == \"__main__\":\n main()\n", "<docstring token>\nimport argparse\nimport os\nimport re\nimport shutil\nimport subprocess\nimport tarfile\nimport numpy as np\nPREPROCESS = 'preprocess'\nTRAIN = 'train'\nEVALUATE = 'evaluate'\n\n\ndef main():\n \"\"\"Identify model state with lowest validation set loss\"\"\"\n parser = argparse.ArgumentParser()\n parser.add_argument('-data_dir', required=True, help=\n 'Directory containing original data set in requisite folder structure (small part or all data)'\n )\n parser.add_argument('-features_filename', required=True, help=\n 'Features cloudpickle file that provides that pruning information')\n parser.add_argument('-start_seed', type=int, default=1284171779)\n parser.add_argument('-num_datasets', type=int, default=20)\n parser.add_argument('-modes', choices=[PREPROCESS, TRAIN, EVALUATE],\n nargs='+', required=True)\n args = parser.parse_args()\n return pipeline(args)\n\n\ndef pipeline(args):\n \"\"\"Pipeline\"\"\"\n cwd = os.getcwd()\n run_dirs = [f'run_dir_{seed}' for seed in range(args.start_seed, args.\n start_seed + args.num_datasets)]\n if PREPROCESS in args.modes:\n condor_dir = f'{os.path.dirname(os.path.realpath(__file__))}/condor'\n for idx, run_dir in enumerate(run_dirs):\n if not os.path.exists(run_dir):\n os.makedirs(run_dir)\n pruned_dir = f'{run_dir}/pruned'\n seed = args.start_seed + idx\n cmd = (\n f'python -m mimic3ext.prune_data -data_dir {args.data_dir} -features_filename {args.features_filename} -output_dir {pruned_dir} -randomize_features -seed {seed}'\n )\n subprocess.check_call(cmd, shell=True)\n with tarfile.open(f'{run_dir}/pruned.tar.gz', 'w:gz') as tar_fp:\n os.chdir(pruned_dir)\n for filename in os.listdir('.'):\n tar_fp.add(filename)\n os.chdir(cwd)\n shutil.rmtree(pruned_dir)\n for filename in os.listdir(condor_dir):\n shutil.copy(f'{condor_dir}/{filename}', run_dir)\n if TRAIN in args.modes:\n for run_dir in run_dirs:\n os.chdir(run_dir)\n cmd = 'condor_submit mimic.sub'\n subprocess.check_call(cmd, shell=True)\n os.chdir(cwd)\n if EVALUATE in args.modes:\n rocs = np.zeros((2, args.num_datasets))\n prcs = np.zeros((2, args.num_datasets))\n for idx, run_dir in enumerate(run_dirs):\n logs = [f'{run_dir}/train_test.log', f'{run_dir}/test_best.log']\n for lidx, log in enumerate(logs):\n with open(log, 'r') as log_file:\n for line in reversed(list(log_file)):\n match = re.search('AUC of (PRC|ROC) = (0\\\\.\\\\d+)', line\n )\n if match:\n dtype, value = match.groups()\n value = float(value)\n if dtype == 'PRC':\n prcs[lidx, idx] = value\n elif dtype == 'ROC':\n rocs[lidx, idx] = value\n break\n np.savez('aucs.npz', rocs=rocs, prcs=prcs)\n\n\nif __name__ == '__main__':\n main()\n", "<docstring token>\n<import token>\nPREPROCESS = 'preprocess'\nTRAIN = 'train'\nEVALUATE = 'evaluate'\n\n\ndef main():\n \"\"\"Identify model state with lowest validation set loss\"\"\"\n parser = argparse.ArgumentParser()\n parser.add_argument('-data_dir', required=True, help=\n 'Directory containing original data set in requisite folder structure (small part or all data)'\n )\n parser.add_argument('-features_filename', required=True, help=\n 'Features cloudpickle file that provides that pruning information')\n parser.add_argument('-start_seed', type=int, default=1284171779)\n parser.add_argument('-num_datasets', type=int, default=20)\n parser.add_argument('-modes', choices=[PREPROCESS, TRAIN, EVALUATE],\n nargs='+', required=True)\n args = parser.parse_args()\n return pipeline(args)\n\n\ndef pipeline(args):\n \"\"\"Pipeline\"\"\"\n cwd = os.getcwd()\n run_dirs = [f'run_dir_{seed}' for seed in range(args.start_seed, args.\n start_seed + args.num_datasets)]\n if PREPROCESS in args.modes:\n condor_dir = f'{os.path.dirname(os.path.realpath(__file__))}/condor'\n for idx, run_dir in enumerate(run_dirs):\n if not os.path.exists(run_dir):\n os.makedirs(run_dir)\n pruned_dir = f'{run_dir}/pruned'\n seed = args.start_seed + idx\n cmd = (\n f'python -m mimic3ext.prune_data -data_dir {args.data_dir} -features_filename {args.features_filename} -output_dir {pruned_dir} -randomize_features -seed {seed}'\n )\n subprocess.check_call(cmd, shell=True)\n with tarfile.open(f'{run_dir}/pruned.tar.gz', 'w:gz') as tar_fp:\n os.chdir(pruned_dir)\n for filename in os.listdir('.'):\n tar_fp.add(filename)\n os.chdir(cwd)\n shutil.rmtree(pruned_dir)\n for filename in os.listdir(condor_dir):\n shutil.copy(f'{condor_dir}/{filename}', run_dir)\n if TRAIN in args.modes:\n for run_dir in run_dirs:\n os.chdir(run_dir)\n cmd = 'condor_submit mimic.sub'\n subprocess.check_call(cmd, shell=True)\n os.chdir(cwd)\n if EVALUATE in args.modes:\n rocs = np.zeros((2, args.num_datasets))\n prcs = np.zeros((2, args.num_datasets))\n for idx, run_dir in enumerate(run_dirs):\n logs = [f'{run_dir}/train_test.log', f'{run_dir}/test_best.log']\n for lidx, log in enumerate(logs):\n with open(log, 'r') as log_file:\n for line in reversed(list(log_file)):\n match = re.search('AUC of (PRC|ROC) = (0\\\\.\\\\d+)', line\n )\n if match:\n dtype, value = match.groups()\n value = float(value)\n if dtype == 'PRC':\n prcs[lidx, idx] = value\n elif dtype == 'ROC':\n rocs[lidx, idx] = value\n break\n np.savez('aucs.npz', rocs=rocs, prcs=prcs)\n\n\nif __name__ == '__main__':\n main()\n", "<docstring token>\n<import token>\n<assignment token>\n\n\ndef main():\n \"\"\"Identify model state with lowest validation set loss\"\"\"\n parser = argparse.ArgumentParser()\n parser.add_argument('-data_dir', required=True, help=\n 'Directory containing original data set in requisite folder structure (small part or all data)'\n )\n parser.add_argument('-features_filename', required=True, help=\n 'Features cloudpickle file that provides that pruning information')\n parser.add_argument('-start_seed', type=int, default=1284171779)\n parser.add_argument('-num_datasets', type=int, default=20)\n parser.add_argument('-modes', choices=[PREPROCESS, TRAIN, EVALUATE],\n nargs='+', required=True)\n args = parser.parse_args()\n return pipeline(args)\n\n\ndef pipeline(args):\n \"\"\"Pipeline\"\"\"\n cwd = os.getcwd()\n run_dirs = [f'run_dir_{seed}' for seed in range(args.start_seed, args.\n start_seed + args.num_datasets)]\n if PREPROCESS in args.modes:\n condor_dir = f'{os.path.dirname(os.path.realpath(__file__))}/condor'\n for idx, run_dir in enumerate(run_dirs):\n if not os.path.exists(run_dir):\n os.makedirs(run_dir)\n pruned_dir = f'{run_dir}/pruned'\n seed = args.start_seed + idx\n cmd = (\n f'python -m mimic3ext.prune_data -data_dir {args.data_dir} -features_filename {args.features_filename} -output_dir {pruned_dir} -randomize_features -seed {seed}'\n )\n subprocess.check_call(cmd, shell=True)\n with tarfile.open(f'{run_dir}/pruned.tar.gz', 'w:gz') as tar_fp:\n os.chdir(pruned_dir)\n for filename in os.listdir('.'):\n tar_fp.add(filename)\n os.chdir(cwd)\n shutil.rmtree(pruned_dir)\n for filename in os.listdir(condor_dir):\n shutil.copy(f'{condor_dir}/{filename}', run_dir)\n if TRAIN in args.modes:\n for run_dir in run_dirs:\n os.chdir(run_dir)\n cmd = 'condor_submit mimic.sub'\n subprocess.check_call(cmd, shell=True)\n os.chdir(cwd)\n if EVALUATE in args.modes:\n rocs = np.zeros((2, args.num_datasets))\n prcs = np.zeros((2, args.num_datasets))\n for idx, run_dir in enumerate(run_dirs):\n logs = [f'{run_dir}/train_test.log', f'{run_dir}/test_best.log']\n for lidx, log in enumerate(logs):\n with open(log, 'r') as log_file:\n for line in reversed(list(log_file)):\n match = re.search('AUC of (PRC|ROC) = (0\\\\.\\\\d+)', line\n )\n if match:\n dtype, value = match.groups()\n value = float(value)\n if dtype == 'PRC':\n prcs[lidx, idx] = value\n elif dtype == 'ROC':\n rocs[lidx, idx] = value\n break\n np.savez('aucs.npz', rocs=rocs, prcs=prcs)\n\n\nif __name__ == '__main__':\n main()\n", "<docstring token>\n<import token>\n<assignment token>\n\n\ndef main():\n \"\"\"Identify model state with lowest validation set loss\"\"\"\n parser = argparse.ArgumentParser()\n parser.add_argument('-data_dir', required=True, help=\n 'Directory containing original data set in requisite folder structure (small part or all data)'\n )\n parser.add_argument('-features_filename', required=True, help=\n 'Features cloudpickle file that provides that pruning information')\n parser.add_argument('-start_seed', type=int, default=1284171779)\n parser.add_argument('-num_datasets', type=int, default=20)\n parser.add_argument('-modes', choices=[PREPROCESS, TRAIN, EVALUATE],\n nargs='+', required=True)\n args = parser.parse_args()\n return pipeline(args)\n\n\ndef pipeline(args):\n \"\"\"Pipeline\"\"\"\n cwd = os.getcwd()\n run_dirs = [f'run_dir_{seed}' for seed in range(args.start_seed, args.\n start_seed + args.num_datasets)]\n if PREPROCESS in args.modes:\n condor_dir = f'{os.path.dirname(os.path.realpath(__file__))}/condor'\n for idx, run_dir in enumerate(run_dirs):\n if not os.path.exists(run_dir):\n os.makedirs(run_dir)\n pruned_dir = f'{run_dir}/pruned'\n seed = args.start_seed + idx\n cmd = (\n f'python -m mimic3ext.prune_data -data_dir {args.data_dir} -features_filename {args.features_filename} -output_dir {pruned_dir} -randomize_features -seed {seed}'\n )\n subprocess.check_call(cmd, shell=True)\n with tarfile.open(f'{run_dir}/pruned.tar.gz', 'w:gz') as tar_fp:\n os.chdir(pruned_dir)\n for filename in os.listdir('.'):\n tar_fp.add(filename)\n os.chdir(cwd)\n shutil.rmtree(pruned_dir)\n for filename in os.listdir(condor_dir):\n shutil.copy(f'{condor_dir}/{filename}', run_dir)\n if TRAIN in args.modes:\n for run_dir in run_dirs:\n os.chdir(run_dir)\n cmd = 'condor_submit mimic.sub'\n subprocess.check_call(cmd, shell=True)\n os.chdir(cwd)\n if EVALUATE in args.modes:\n rocs = np.zeros((2, args.num_datasets))\n prcs = np.zeros((2, args.num_datasets))\n for idx, run_dir in enumerate(run_dirs):\n logs = [f'{run_dir}/train_test.log', f'{run_dir}/test_best.log']\n for lidx, log in enumerate(logs):\n with open(log, 'r') as log_file:\n for line in reversed(list(log_file)):\n match = re.search('AUC of (PRC|ROC) = (0\\\\.\\\\d+)', line\n )\n if match:\n dtype, value = match.groups()\n value = float(value)\n if dtype == 'PRC':\n prcs[lidx, idx] = value\n elif dtype == 'ROC':\n rocs[lidx, idx] = value\n break\n np.savez('aucs.npz', rocs=rocs, prcs=prcs)\n\n\n<code token>\n", "<docstring token>\n<import token>\n<assignment token>\n<function token>\n\n\ndef pipeline(args):\n \"\"\"Pipeline\"\"\"\n cwd = os.getcwd()\n run_dirs = [f'run_dir_{seed}' for seed in range(args.start_seed, args.\n start_seed + args.num_datasets)]\n if PREPROCESS in args.modes:\n condor_dir = f'{os.path.dirname(os.path.realpath(__file__))}/condor'\n for idx, run_dir in enumerate(run_dirs):\n if not os.path.exists(run_dir):\n os.makedirs(run_dir)\n pruned_dir = f'{run_dir}/pruned'\n seed = args.start_seed + idx\n cmd = (\n f'python -m mimic3ext.prune_data -data_dir {args.data_dir} -features_filename {args.features_filename} -output_dir {pruned_dir} -randomize_features -seed {seed}'\n )\n subprocess.check_call(cmd, shell=True)\n with tarfile.open(f'{run_dir}/pruned.tar.gz', 'w:gz') as tar_fp:\n os.chdir(pruned_dir)\n for filename in os.listdir('.'):\n tar_fp.add(filename)\n os.chdir(cwd)\n shutil.rmtree(pruned_dir)\n for filename in os.listdir(condor_dir):\n shutil.copy(f'{condor_dir}/{filename}', run_dir)\n if TRAIN in args.modes:\n for run_dir in run_dirs:\n os.chdir(run_dir)\n cmd = 'condor_submit mimic.sub'\n subprocess.check_call(cmd, shell=True)\n os.chdir(cwd)\n if EVALUATE in args.modes:\n rocs = np.zeros((2, args.num_datasets))\n prcs = np.zeros((2, args.num_datasets))\n for idx, run_dir in enumerate(run_dirs):\n logs = [f'{run_dir}/train_test.log', f'{run_dir}/test_best.log']\n for lidx, log in enumerate(logs):\n with open(log, 'r') as log_file:\n for line in reversed(list(log_file)):\n match = re.search('AUC of (PRC|ROC) = (0\\\\.\\\\d+)', line\n )\n if match:\n dtype, value = match.groups()\n value = float(value)\n if dtype == 'PRC':\n prcs[lidx, idx] = value\n elif dtype == 'ROC':\n rocs[lidx, idx] = value\n break\n np.savez('aucs.npz', rocs=rocs, prcs=prcs)\n\n\n<code token>\n", "<docstring token>\n<import token>\n<assignment token>\n<function token>\n<function token>\n<code token>\n" ]
false
98,620
9f0e83c136f2f801402d839c9da4a88ed347d664
import gym from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense from tensorflow.keras.optimizers import Adam from collections import deque import random from Envrioment import * import numpy as np #deifne deep neural net calls class DQN: def __init__(self, env): self.env = env #define memeonry self.memory = deque(maxlen=2000) #future rewards depertiaon self.gamma = 0.95 #expoloration/explotation intial value, decay and minium self.epsilon = 1.0 self.epsilon_decay = 0.995 self.epsilon_min = 0.1 #learing rate self.learing_rate = 0.01 #target model smoothing rate self.tau = .125 #define model self.model = self.create_model() #define target model self.target_model = self.create_model() def create_model(self): #define sequintail model model = Sequential() #get state shape #add input layer model.add(Dense(48, input_shape=(81,), activation='relu')) #add layers model.add(Dense(48, activation="relu")) model.add(Dense(48, activation="relu")) #add output layer model.add(Dense(19)) #comple model with adam opismiser and meen square rror lost model.compile(loss='mean_squared_error', optimizer=Adam(lr=self.learing_rate)) #return model return model #tell model to remember state def remember(self, state, action, reward, newstate, done): self.memory.append([state, action, reward, newstate, done]) #replay and train on a sample of memery data commtied to memory def replay(self): batch_size = 32 #if not enough info return if len(self.memory) < batch_size: return #get random sample of states with bath size samples = random.sample(self.memory, batch_size) #itterate over samples for sample in samples: state, action, reward, newstate, done = sample #predict action target = self.target_model.predict(state) #jsut aplly pervious reward if state was finshing state if done: target[0][action] = reward #else use q function to weight both current reward and futre reward #cacluate futre reward baseupon strengh of model predictions else: #get futere aciton cofinede for reward Q_future = max(self.target_model.predict(newstate)[0]) #add the reward for the action pluse futre target[0][action] = reward + Q_future * self.gamma #fit model to reward offets function returns print('fitting model') self.model.fit(state, target, epochs=1, verbose=0) #train target def train_target(self): weights = self.model.get_weights() target_weights = self.target_model.get_weights() for i in range(len(target_weights)): #slowy convert target weights over time to the priamy model weights by tau each time. ie it will be 75 og weight. and 25 new weight and the next tik mroeso target_weights[i] = weights[i] * self.tau + target_weights[i] * (1 - self.tau) self.target_model.set_weights(target_weights) #act model def act(self, state): self.epsilon *= self.epsilon_decay self.epsilon = max(self.epsilon_min, self.epsilon) if np.random.random() < self.epsilon: #return random action space value return random.randint(0, 18) #else pic max vlaue return np.argmax(self.model.predict(state)) #save model def save_model(self, fn): self.model.save(fn) #define main function def main(): env = Match(200) trials = 1000 trial_len = 500 dqn_agent = DQN(env=env) steps = [] #runn through trials for trial in range(trials): cur_state = env.reset().reshape(1, 81) for step in range(trial_len): #get action action = dqn_agent.act(cur_state) #step env newstate, reward, done = env.step(0, action) print('reward: {}'.format(reward)) #reshape newstate newstate = newstate.reshape(1, 81) #reward = reward if not done else -20 #remember date dqn_agent.remember(cur_state, action, reward, newstate, done) #replay sates from memeory to train dqn_agent.replay() #train target dqn_agent.train_target() #set curretns tate to new state cur_state = newstate #break if done if done: break #if cant compleate tiral in centan number of steps then fail teh robot if step >= 199: print("Failed to complete in trial {}".format(trial)) #save very tent model if step % 10 == 0: dqn_agent.save_model("trial-{}.model".format(trial)) else: print("Completed in {} trials".format(trial)) #save winning model dqn_agent.save_model("success.model") break main()
[ "import gym\nfrom tensorflow.keras.models import Sequential\nfrom tensorflow.keras.layers import Dense\nfrom tensorflow.keras.optimizers import Adam\nfrom collections import deque\nimport random\nfrom Envrioment import *\nimport numpy as np\n#deifne deep neural net calls\nclass DQN:\n def __init__(self, env):\n self.env = env\n #define memeonry\n self.memory = deque(maxlen=2000)\n #future rewards depertiaon\n self.gamma = 0.95\n #expoloration/explotation intial value, decay and minium\n self.epsilon = 1.0\n self.epsilon_decay = 0.995\n self.epsilon_min = 0.1\n #learing rate\n self.learing_rate = 0.01\n #target model smoothing rate\n self.tau = .125\n #define model\n self.model = self.create_model()\n #define target model\n self.target_model = self.create_model()\n\n\n \n def create_model(self):\n #define sequintail model\n model = Sequential()\n #get state shape\n #add input layer\n model.add(Dense(48, input_shape=(81,), \n activation='relu'))\n #add layers\n model.add(Dense(48, activation=\"relu\"))\n model.add(Dense(48, activation=\"relu\"))\n #add output layer\n model.add(Dense(19))\n #comple model with adam opismiser and meen square rror lost\n model.compile(loss='mean_squared_error', \n optimizer=Adam(lr=self.learing_rate))\n #return model\n return model\n\n #tell model to remember state\n def remember(self, state, action, reward, newstate, done):\n self.memory.append([state, action, reward, newstate, done])\n\n #replay and train on a sample of memery data commtied to memory\n def replay(self):\n batch_size = 32\n #if not enough info return\n if len(self.memory) < batch_size:\n return\n #get random sample of states with bath size\n samples = random.sample(self.memory, batch_size) \n #itterate over samples\n for sample in samples:\n state, action, reward, newstate, done = sample\n #predict action\n target = self.target_model.predict(state)\n #jsut aplly pervious reward if state was finshing state\n if done:\n target[0][action] = reward\n #else use q function to weight both current reward and futre reward\n #cacluate futre reward baseupon strengh of model predictions\n else:\n #get futere aciton cofinede for reward\n Q_future = max(self.target_model.predict(newstate)[0])\n #add the reward for the action pluse futre\n target[0][action] = reward + Q_future * self.gamma\n #fit model to reward offets function returns \n print('fitting model')\n self.model.fit(state, target, epochs=1, verbose=0)\n #train target\n def train_target(self):\n weights = self.model.get_weights()\n target_weights = self.target_model.get_weights()\n for i in range(len(target_weights)):\n #slowy convert target weights over time to the priamy model weights by tau each time. ie it will be 75 og weight. and 25 new weight and the next tik mroeso\n target_weights[i] = weights[i] * self.tau + target_weights[i] * (1 - self.tau)\n self.target_model.set_weights(target_weights)\n\n #act model\n def act(self, state):\n self.epsilon *= self.epsilon_decay\n self.epsilon = max(self.epsilon_min, self.epsilon)\n if np.random.random() < self.epsilon:\n #return random action space value\n return random.randint(0, 18)\n #else pic max vlaue\n return np.argmax(self.model.predict(state))\n\n #save model\n def save_model(self, fn):\n self.model.save(fn)\n\n#define main function\ndef main():\n env = Match(200)\n\n trials = 1000\n\n trial_len = 500\n\n dqn_agent = DQN(env=env)\n steps = []\n #runn through trials\n for trial in range(trials):\n cur_state = env.reset().reshape(1, 81)\n for step in range(trial_len):\n #get action\n action = dqn_agent.act(cur_state)\n #step env\n newstate, reward, done = env.step(0, action)\n print('reward: {}'.format(reward))\n #reshape newstate\n newstate = newstate.reshape(1, 81)\n #reward = reward if not done else -20\n #remember date\n dqn_agent.remember(cur_state, action, reward, newstate, done)\n #replay sates from memeory to train\n dqn_agent.replay()\n #train target\n dqn_agent.train_target()\n\n #set curretns tate to new state\n cur_state = newstate\n #break if done\n if done:\n break\n #if cant compleate tiral in centan number of steps then fail teh robot \n if step >= 199:\n print(\"Failed to complete in trial {}\".format(trial))\n #save very tent model\n if step % 10 == 0:\n dqn_agent.save_model(\"trial-{}.model\".format(trial))\n else:\n print(\"Completed in {} trials\".format(trial))\n #save winning model\n dqn_agent.save_model(\"success.model\")\n break\nmain()\n", "import gym\nfrom tensorflow.keras.models import Sequential\nfrom tensorflow.keras.layers import Dense\nfrom tensorflow.keras.optimizers import Adam\nfrom collections import deque\nimport random\nfrom Envrioment import *\nimport numpy as np\n\n\nclass DQN:\n\n def __init__(self, env):\n self.env = env\n self.memory = deque(maxlen=2000)\n self.gamma = 0.95\n self.epsilon = 1.0\n self.epsilon_decay = 0.995\n self.epsilon_min = 0.1\n self.learing_rate = 0.01\n self.tau = 0.125\n self.model = self.create_model()\n self.target_model = self.create_model()\n\n def create_model(self):\n model = Sequential()\n model.add(Dense(48, input_shape=(81,), activation='relu'))\n model.add(Dense(48, activation='relu'))\n model.add(Dense(48, activation='relu'))\n model.add(Dense(19))\n model.compile(loss='mean_squared_error', optimizer=Adam(lr=self.\n learing_rate))\n return model\n\n def remember(self, state, action, reward, newstate, done):\n self.memory.append([state, action, reward, newstate, done])\n\n def replay(self):\n batch_size = 32\n if len(self.memory) < batch_size:\n return\n samples = random.sample(self.memory, batch_size)\n for sample in samples:\n state, action, reward, newstate, done = sample\n target = self.target_model.predict(state)\n if done:\n target[0][action] = reward\n else:\n Q_future = max(self.target_model.predict(newstate)[0])\n target[0][action] = reward + Q_future * self.gamma\n print('fitting model')\n self.model.fit(state, target, epochs=1, verbose=0)\n\n def train_target(self):\n weights = self.model.get_weights()\n target_weights = self.target_model.get_weights()\n for i in range(len(target_weights)):\n target_weights[i] = weights[i] * self.tau + target_weights[i] * (\n 1 - self.tau)\n self.target_model.set_weights(target_weights)\n\n def act(self, state):\n self.epsilon *= self.epsilon_decay\n self.epsilon = max(self.epsilon_min, self.epsilon)\n if np.random.random() < self.epsilon:\n return random.randint(0, 18)\n return np.argmax(self.model.predict(state))\n\n def save_model(self, fn):\n self.model.save(fn)\n\n\ndef main():\n env = Match(200)\n trials = 1000\n trial_len = 500\n dqn_agent = DQN(env=env)\n steps = []\n for trial in range(trials):\n cur_state = env.reset().reshape(1, 81)\n for step in range(trial_len):\n action = dqn_agent.act(cur_state)\n newstate, reward, done = env.step(0, action)\n print('reward: {}'.format(reward))\n newstate = newstate.reshape(1, 81)\n dqn_agent.remember(cur_state, action, reward, newstate, done)\n dqn_agent.replay()\n dqn_agent.train_target()\n cur_state = newstate\n if done:\n break\n if step >= 199:\n print('Failed to complete in trial {}'.format(trial))\n if step % 10 == 0:\n dqn_agent.save_model('trial-{}.model'.format(trial))\n else:\n print('Completed in {} trials'.format(trial))\n dqn_agent.save_model('success.model')\n break\n\n\nmain()\n", "<import token>\n\n\nclass DQN:\n\n def __init__(self, env):\n self.env = env\n self.memory = deque(maxlen=2000)\n self.gamma = 0.95\n self.epsilon = 1.0\n self.epsilon_decay = 0.995\n self.epsilon_min = 0.1\n self.learing_rate = 0.01\n self.tau = 0.125\n self.model = self.create_model()\n self.target_model = self.create_model()\n\n def create_model(self):\n model = Sequential()\n model.add(Dense(48, input_shape=(81,), activation='relu'))\n model.add(Dense(48, activation='relu'))\n model.add(Dense(48, activation='relu'))\n model.add(Dense(19))\n model.compile(loss='mean_squared_error', optimizer=Adam(lr=self.\n learing_rate))\n return model\n\n def remember(self, state, action, reward, newstate, done):\n self.memory.append([state, action, reward, newstate, done])\n\n def replay(self):\n batch_size = 32\n if len(self.memory) < batch_size:\n return\n samples = random.sample(self.memory, batch_size)\n for sample in samples:\n state, action, reward, newstate, done = sample\n target = self.target_model.predict(state)\n if done:\n target[0][action] = reward\n else:\n Q_future = max(self.target_model.predict(newstate)[0])\n target[0][action] = reward + Q_future * self.gamma\n print('fitting model')\n self.model.fit(state, target, epochs=1, verbose=0)\n\n def train_target(self):\n weights = self.model.get_weights()\n target_weights = self.target_model.get_weights()\n for i in range(len(target_weights)):\n target_weights[i] = weights[i] * self.tau + target_weights[i] * (\n 1 - self.tau)\n self.target_model.set_weights(target_weights)\n\n def act(self, state):\n self.epsilon *= self.epsilon_decay\n self.epsilon = max(self.epsilon_min, self.epsilon)\n if np.random.random() < self.epsilon:\n return random.randint(0, 18)\n return np.argmax(self.model.predict(state))\n\n def save_model(self, fn):\n self.model.save(fn)\n\n\ndef main():\n env = Match(200)\n trials = 1000\n trial_len = 500\n dqn_agent = DQN(env=env)\n steps = []\n for trial in range(trials):\n cur_state = env.reset().reshape(1, 81)\n for step in range(trial_len):\n action = dqn_agent.act(cur_state)\n newstate, reward, done = env.step(0, action)\n print('reward: {}'.format(reward))\n newstate = newstate.reshape(1, 81)\n dqn_agent.remember(cur_state, action, reward, newstate, done)\n dqn_agent.replay()\n dqn_agent.train_target()\n cur_state = newstate\n if done:\n break\n if step >= 199:\n print('Failed to complete in trial {}'.format(trial))\n if step % 10 == 0:\n dqn_agent.save_model('trial-{}.model'.format(trial))\n else:\n print('Completed in {} trials'.format(trial))\n dqn_agent.save_model('success.model')\n break\n\n\nmain()\n", "<import token>\n\n\nclass DQN:\n\n def __init__(self, env):\n self.env = env\n self.memory = deque(maxlen=2000)\n self.gamma = 0.95\n self.epsilon = 1.0\n self.epsilon_decay = 0.995\n self.epsilon_min = 0.1\n self.learing_rate = 0.01\n self.tau = 0.125\n self.model = self.create_model()\n self.target_model = self.create_model()\n\n def create_model(self):\n model = Sequential()\n model.add(Dense(48, input_shape=(81,), activation='relu'))\n model.add(Dense(48, activation='relu'))\n model.add(Dense(48, activation='relu'))\n model.add(Dense(19))\n model.compile(loss='mean_squared_error', optimizer=Adam(lr=self.\n learing_rate))\n return model\n\n def remember(self, state, action, reward, newstate, done):\n self.memory.append([state, action, reward, newstate, done])\n\n def replay(self):\n batch_size = 32\n if len(self.memory) < batch_size:\n return\n samples = random.sample(self.memory, batch_size)\n for sample in samples:\n state, action, reward, newstate, done = sample\n target = self.target_model.predict(state)\n if done:\n target[0][action] = reward\n else:\n Q_future = max(self.target_model.predict(newstate)[0])\n target[0][action] = reward + Q_future * self.gamma\n print('fitting model')\n self.model.fit(state, target, epochs=1, verbose=0)\n\n def train_target(self):\n weights = self.model.get_weights()\n target_weights = self.target_model.get_weights()\n for i in range(len(target_weights)):\n target_weights[i] = weights[i] * self.tau + target_weights[i] * (\n 1 - self.tau)\n self.target_model.set_weights(target_weights)\n\n def act(self, state):\n self.epsilon *= self.epsilon_decay\n self.epsilon = max(self.epsilon_min, self.epsilon)\n if np.random.random() < self.epsilon:\n return random.randint(0, 18)\n return np.argmax(self.model.predict(state))\n\n def save_model(self, fn):\n self.model.save(fn)\n\n\ndef main():\n env = Match(200)\n trials = 1000\n trial_len = 500\n dqn_agent = DQN(env=env)\n steps = []\n for trial in range(trials):\n cur_state = env.reset().reshape(1, 81)\n for step in range(trial_len):\n action = dqn_agent.act(cur_state)\n newstate, reward, done = env.step(0, action)\n print('reward: {}'.format(reward))\n newstate = newstate.reshape(1, 81)\n dqn_agent.remember(cur_state, action, reward, newstate, done)\n dqn_agent.replay()\n dqn_agent.train_target()\n cur_state = newstate\n if done:\n break\n if step >= 199:\n print('Failed to complete in trial {}'.format(trial))\n if step % 10 == 0:\n dqn_agent.save_model('trial-{}.model'.format(trial))\n else:\n print('Completed in {} trials'.format(trial))\n dqn_agent.save_model('success.model')\n break\n\n\n<code token>\n", "<import token>\n\n\nclass DQN:\n\n def __init__(self, env):\n self.env = env\n self.memory = deque(maxlen=2000)\n self.gamma = 0.95\n self.epsilon = 1.0\n self.epsilon_decay = 0.995\n self.epsilon_min = 0.1\n self.learing_rate = 0.01\n self.tau = 0.125\n self.model = self.create_model()\n self.target_model = self.create_model()\n\n def create_model(self):\n model = Sequential()\n model.add(Dense(48, input_shape=(81,), activation='relu'))\n model.add(Dense(48, activation='relu'))\n model.add(Dense(48, activation='relu'))\n model.add(Dense(19))\n model.compile(loss='mean_squared_error', optimizer=Adam(lr=self.\n learing_rate))\n return model\n\n def remember(self, state, action, reward, newstate, done):\n self.memory.append([state, action, reward, newstate, done])\n\n def replay(self):\n batch_size = 32\n if len(self.memory) < batch_size:\n return\n samples = random.sample(self.memory, batch_size)\n for sample in samples:\n state, action, reward, newstate, done = sample\n target = self.target_model.predict(state)\n if done:\n target[0][action] = reward\n else:\n Q_future = max(self.target_model.predict(newstate)[0])\n target[0][action] = reward + Q_future * self.gamma\n print('fitting model')\n self.model.fit(state, target, epochs=1, verbose=0)\n\n def train_target(self):\n weights = self.model.get_weights()\n target_weights = self.target_model.get_weights()\n for i in range(len(target_weights)):\n target_weights[i] = weights[i] * self.tau + target_weights[i] * (\n 1 - self.tau)\n self.target_model.set_weights(target_weights)\n\n def act(self, state):\n self.epsilon *= self.epsilon_decay\n self.epsilon = max(self.epsilon_min, self.epsilon)\n if np.random.random() < self.epsilon:\n return random.randint(0, 18)\n return np.argmax(self.model.predict(state))\n\n def save_model(self, fn):\n self.model.save(fn)\n\n\n<function token>\n<code token>\n", "<import token>\n\n\nclass DQN:\n\n def __init__(self, env):\n self.env = env\n self.memory = deque(maxlen=2000)\n self.gamma = 0.95\n self.epsilon = 1.0\n self.epsilon_decay = 0.995\n self.epsilon_min = 0.1\n self.learing_rate = 0.01\n self.tau = 0.125\n self.model = self.create_model()\n self.target_model = self.create_model()\n\n def create_model(self):\n model = Sequential()\n model.add(Dense(48, input_shape=(81,), activation='relu'))\n model.add(Dense(48, activation='relu'))\n model.add(Dense(48, activation='relu'))\n model.add(Dense(19))\n model.compile(loss='mean_squared_error', optimizer=Adam(lr=self.\n learing_rate))\n return model\n\n def remember(self, state, action, reward, newstate, done):\n self.memory.append([state, action, reward, newstate, done])\n\n def replay(self):\n batch_size = 32\n if len(self.memory) < batch_size:\n return\n samples = random.sample(self.memory, batch_size)\n for sample in samples:\n state, action, reward, newstate, done = sample\n target = self.target_model.predict(state)\n if done:\n target[0][action] = reward\n else:\n Q_future = max(self.target_model.predict(newstate)[0])\n target[0][action] = reward + Q_future * self.gamma\n print('fitting model')\n self.model.fit(state, target, epochs=1, verbose=0)\n\n def train_target(self):\n weights = self.model.get_weights()\n target_weights = self.target_model.get_weights()\n for i in range(len(target_weights)):\n target_weights[i] = weights[i] * self.tau + target_weights[i] * (\n 1 - self.tau)\n self.target_model.set_weights(target_weights)\n\n def act(self, state):\n self.epsilon *= self.epsilon_decay\n self.epsilon = max(self.epsilon_min, self.epsilon)\n if np.random.random() < self.epsilon:\n return random.randint(0, 18)\n return np.argmax(self.model.predict(state))\n <function token>\n\n\n<function token>\n<code token>\n", "<import token>\n\n\nclass DQN:\n\n def __init__(self, env):\n self.env = env\n self.memory = deque(maxlen=2000)\n self.gamma = 0.95\n self.epsilon = 1.0\n self.epsilon_decay = 0.995\n self.epsilon_min = 0.1\n self.learing_rate = 0.01\n self.tau = 0.125\n self.model = self.create_model()\n self.target_model = self.create_model()\n\n def create_model(self):\n model = Sequential()\n model.add(Dense(48, input_shape=(81,), activation='relu'))\n model.add(Dense(48, activation='relu'))\n model.add(Dense(48, activation='relu'))\n model.add(Dense(19))\n model.compile(loss='mean_squared_error', optimizer=Adam(lr=self.\n learing_rate))\n return model\n <function token>\n\n def replay(self):\n batch_size = 32\n if len(self.memory) < batch_size:\n return\n samples = random.sample(self.memory, batch_size)\n for sample in samples:\n state, action, reward, newstate, done = sample\n target = self.target_model.predict(state)\n if done:\n target[0][action] = reward\n else:\n Q_future = max(self.target_model.predict(newstate)[0])\n target[0][action] = reward + Q_future * self.gamma\n print('fitting model')\n self.model.fit(state, target, epochs=1, verbose=0)\n\n def train_target(self):\n weights = self.model.get_weights()\n target_weights = self.target_model.get_weights()\n for i in range(len(target_weights)):\n target_weights[i] = weights[i] * self.tau + target_weights[i] * (\n 1 - self.tau)\n self.target_model.set_weights(target_weights)\n\n def act(self, state):\n self.epsilon *= self.epsilon_decay\n self.epsilon = max(self.epsilon_min, self.epsilon)\n if np.random.random() < self.epsilon:\n return random.randint(0, 18)\n return np.argmax(self.model.predict(state))\n <function token>\n\n\n<function token>\n<code token>\n", "<import token>\n\n\nclass DQN:\n\n def __init__(self, env):\n self.env = env\n self.memory = deque(maxlen=2000)\n self.gamma = 0.95\n self.epsilon = 1.0\n self.epsilon_decay = 0.995\n self.epsilon_min = 0.1\n self.learing_rate = 0.01\n self.tau = 0.125\n self.model = self.create_model()\n self.target_model = self.create_model()\n <function token>\n <function token>\n\n def replay(self):\n batch_size = 32\n if len(self.memory) < batch_size:\n return\n samples = random.sample(self.memory, batch_size)\n for sample in samples:\n state, action, reward, newstate, done = sample\n target = self.target_model.predict(state)\n if done:\n target[0][action] = reward\n else:\n Q_future = max(self.target_model.predict(newstate)[0])\n target[0][action] = reward + Q_future * self.gamma\n print('fitting model')\n self.model.fit(state, target, epochs=1, verbose=0)\n\n def train_target(self):\n weights = self.model.get_weights()\n target_weights = self.target_model.get_weights()\n for i in range(len(target_weights)):\n target_weights[i] = weights[i] * self.tau + target_weights[i] * (\n 1 - self.tau)\n self.target_model.set_weights(target_weights)\n\n def act(self, state):\n self.epsilon *= self.epsilon_decay\n self.epsilon = max(self.epsilon_min, self.epsilon)\n if np.random.random() < self.epsilon:\n return random.randint(0, 18)\n return np.argmax(self.model.predict(state))\n <function token>\n\n\n<function token>\n<code token>\n", "<import token>\n\n\nclass DQN:\n\n def __init__(self, env):\n self.env = env\n self.memory = deque(maxlen=2000)\n self.gamma = 0.95\n self.epsilon = 1.0\n self.epsilon_decay = 0.995\n self.epsilon_min = 0.1\n self.learing_rate = 0.01\n self.tau = 0.125\n self.model = self.create_model()\n self.target_model = self.create_model()\n <function token>\n <function token>\n\n def replay(self):\n batch_size = 32\n if len(self.memory) < batch_size:\n return\n samples = random.sample(self.memory, batch_size)\n for sample in samples:\n state, action, reward, newstate, done = sample\n target = self.target_model.predict(state)\n if done:\n target[0][action] = reward\n else:\n Q_future = max(self.target_model.predict(newstate)[0])\n target[0][action] = reward + Q_future * self.gamma\n print('fitting model')\n self.model.fit(state, target, epochs=1, verbose=0)\n <function token>\n\n def act(self, state):\n self.epsilon *= self.epsilon_decay\n self.epsilon = max(self.epsilon_min, self.epsilon)\n if np.random.random() < self.epsilon:\n return random.randint(0, 18)\n return np.argmax(self.model.predict(state))\n <function token>\n\n\n<function token>\n<code token>\n", "<import token>\n\n\nclass DQN:\n <function token>\n <function token>\n <function token>\n\n def replay(self):\n batch_size = 32\n if len(self.memory) < batch_size:\n return\n samples = random.sample(self.memory, batch_size)\n for sample in samples:\n state, action, reward, newstate, done = sample\n target = self.target_model.predict(state)\n if done:\n target[0][action] = reward\n else:\n Q_future = max(self.target_model.predict(newstate)[0])\n target[0][action] = reward + Q_future * self.gamma\n print('fitting model')\n self.model.fit(state, target, epochs=1, verbose=0)\n <function token>\n\n def act(self, state):\n self.epsilon *= self.epsilon_decay\n self.epsilon = max(self.epsilon_min, self.epsilon)\n if np.random.random() < self.epsilon:\n return random.randint(0, 18)\n return np.argmax(self.model.predict(state))\n <function token>\n\n\n<function token>\n<code token>\n", "<import token>\n\n\nclass DQN:\n <function token>\n <function token>\n <function token>\n\n def replay(self):\n batch_size = 32\n if len(self.memory) < batch_size:\n return\n samples = random.sample(self.memory, batch_size)\n for sample in samples:\n state, action, reward, newstate, done = sample\n target = self.target_model.predict(state)\n if done:\n target[0][action] = reward\n else:\n Q_future = max(self.target_model.predict(newstate)[0])\n target[0][action] = reward + Q_future * self.gamma\n print('fitting model')\n self.model.fit(state, target, epochs=1, verbose=0)\n <function token>\n <function token>\n <function token>\n\n\n<function token>\n<code token>\n", "<import token>\n\n\nclass DQN:\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<function token>\n<code token>\n", "<import token>\n<class token>\n<function token>\n<code token>\n" ]
false
98,621
2a992cb5cf0e52f56106278eee894c2437db5411
def ticker(): infile = open('tickernames.txt', 'r') regels = infile.readlines() infile.close() tickerdict = {} for regel in regels: tickerregel = regel.split(':') sleutel = tickerregel[0] waarde = tickerregel[1].strip() tickerdict[sleutel] = waarde return tickerdict print(ticker())
[ "def ticker():\n infile = open('tickernames.txt', 'r')\n regels = infile.readlines()\n infile.close()\n tickerdict = {}\n for regel in regels:\n tickerregel = regel.split(':')\n sleutel = tickerregel[0]\n waarde = tickerregel[1].strip()\n tickerdict[sleutel] = waarde\n return tickerdict\n\nprint(ticker())", "def ticker():\n infile = open('tickernames.txt', 'r')\n regels = infile.readlines()\n infile.close()\n tickerdict = {}\n for regel in regels:\n tickerregel = regel.split(':')\n sleutel = tickerregel[0]\n waarde = tickerregel[1].strip()\n tickerdict[sleutel] = waarde\n return tickerdict\n\n\nprint(ticker())\n", "def ticker():\n infile = open('tickernames.txt', 'r')\n regels = infile.readlines()\n infile.close()\n tickerdict = {}\n for regel in regels:\n tickerregel = regel.split(':')\n sleutel = tickerregel[0]\n waarde = tickerregel[1].strip()\n tickerdict[sleutel] = waarde\n return tickerdict\n\n\n<code token>\n", "<function token>\n<code token>\n" ]
false
98,622
8a995c2596926cca8665728f107887df7340eb95
import json from django.shortcuts import render from django.http import JsonResponse, HttpResponse # Create your views here. def index(request): return render(request, 'index.html') value_list = ['apple', 'pear', 'banana'] def load_login(request): return render(request, 'login.html') def search_key(request): method = request.method if method == 'POST': body = json.loads(request.body) if "key" not in body: return JsonResponse([], safe=False) key = body['key'] ret = [] for i in value_list: if key in i: ret.append(i) return JsonResponse(ret, safe=False) else: return HttpResponse(status=404) fruites = ['apple', 'pear', 'banana', 'orange'] def get_fruits(request): return JsonResponse(fruites, safe=False) def login(request): users = [ {'user': 'user1', 'psw': 'user1'}, {'user': 'user2', 'psw': 'user2'} ] method = request.method if method == 'POST': body = json.loads(request.body) if "name" not in body or "psw" not in body: return JsonResponse({'success': False}, safe=False) for user in users: if user['user'] == body['name'] and user['psw'] == body['psw']: return JsonResponse({'success': True}, safe=False) else: return JsonResponse({'success': False}, safe=False) else: return HttpResponse(status=404) def style_demo(request): return render(request,'style_demo.html') def component_info(request): return render(request,'component_info.html')
[ "import json\n\nfrom django.shortcuts import render\nfrom django.http import JsonResponse, HttpResponse\n\n\n# Create your views here.\n\ndef index(request):\n return render(request, 'index.html')\n\n\nvalue_list = ['apple', 'pear', 'banana']\n\n\ndef load_login(request):\n return render(request, 'login.html')\n\n\ndef search_key(request):\n method = request.method\n if method == 'POST':\n body = json.loads(request.body)\n if \"key\" not in body:\n return JsonResponse([], safe=False)\n\n key = body['key']\n ret = []\n\n for i in value_list:\n if key in i:\n ret.append(i)\n\n return JsonResponse(ret, safe=False)\n\n else:\n return HttpResponse(status=404)\n\n\nfruites = ['apple', 'pear', 'banana', 'orange']\n\n\ndef get_fruits(request):\n return JsonResponse(fruites, safe=False)\n\n\ndef login(request):\n users = [\n {'user': 'user1', 'psw': 'user1'},\n {'user': 'user2', 'psw': 'user2'}\n ]\n\n method = request.method\n\n if method == 'POST':\n body = json.loads(request.body)\n\n if \"name\" not in body or \"psw\" not in body:\n return JsonResponse({'success': False}, safe=False)\n\n for user in users:\n if user['user'] == body['name'] and user['psw'] == body['psw']:\n return JsonResponse({'success': True}, safe=False)\n else:\n return JsonResponse({'success': False}, safe=False)\n\n else:\n return HttpResponse(status=404)\n\n\ndef style_demo(request):\n return render(request,'style_demo.html')\n\n\ndef component_info(request):\n return render(request,'component_info.html')", "import json\nfrom django.shortcuts import render\nfrom django.http import JsonResponse, HttpResponse\n\n\ndef index(request):\n return render(request, 'index.html')\n\n\nvalue_list = ['apple', 'pear', 'banana']\n\n\ndef load_login(request):\n return render(request, 'login.html')\n\n\ndef search_key(request):\n method = request.method\n if method == 'POST':\n body = json.loads(request.body)\n if 'key' not in body:\n return JsonResponse([], safe=False)\n key = body['key']\n ret = []\n for i in value_list:\n if key in i:\n ret.append(i)\n return JsonResponse(ret, safe=False)\n else:\n return HttpResponse(status=404)\n\n\nfruites = ['apple', 'pear', 'banana', 'orange']\n\n\ndef get_fruits(request):\n return JsonResponse(fruites, safe=False)\n\n\ndef login(request):\n users = [{'user': 'user1', 'psw': 'user1'}, {'user': 'user2', 'psw':\n 'user2'}]\n method = request.method\n if method == 'POST':\n body = json.loads(request.body)\n if 'name' not in body or 'psw' not in body:\n return JsonResponse({'success': False}, safe=False)\n for user in users:\n if user['user'] == body['name'] and user['psw'] == body['psw']:\n return JsonResponse({'success': True}, safe=False)\n else:\n return JsonResponse({'success': False}, safe=False)\n else:\n return HttpResponse(status=404)\n\n\ndef style_demo(request):\n return render(request, 'style_demo.html')\n\n\ndef component_info(request):\n return render(request, 'component_info.html')\n", "<import token>\n\n\ndef index(request):\n return render(request, 'index.html')\n\n\nvalue_list = ['apple', 'pear', 'banana']\n\n\ndef load_login(request):\n return render(request, 'login.html')\n\n\ndef search_key(request):\n method = request.method\n if method == 'POST':\n body = json.loads(request.body)\n if 'key' not in body:\n return JsonResponse([], safe=False)\n key = body['key']\n ret = []\n for i in value_list:\n if key in i:\n ret.append(i)\n return JsonResponse(ret, safe=False)\n else:\n return HttpResponse(status=404)\n\n\nfruites = ['apple', 'pear', 'banana', 'orange']\n\n\ndef get_fruits(request):\n return JsonResponse(fruites, safe=False)\n\n\ndef login(request):\n users = [{'user': 'user1', 'psw': 'user1'}, {'user': 'user2', 'psw':\n 'user2'}]\n method = request.method\n if method == 'POST':\n body = json.loads(request.body)\n if 'name' not in body or 'psw' not in body:\n return JsonResponse({'success': False}, safe=False)\n for user in users:\n if user['user'] == body['name'] and user['psw'] == body['psw']:\n return JsonResponse({'success': True}, safe=False)\n else:\n return JsonResponse({'success': False}, safe=False)\n else:\n return HttpResponse(status=404)\n\n\ndef style_demo(request):\n return render(request, 'style_demo.html')\n\n\ndef component_info(request):\n return render(request, 'component_info.html')\n", "<import token>\n\n\ndef index(request):\n return render(request, 'index.html')\n\n\n<assignment token>\n\n\ndef load_login(request):\n return render(request, 'login.html')\n\n\ndef search_key(request):\n method = request.method\n if method == 'POST':\n body = json.loads(request.body)\n if 'key' not in body:\n return JsonResponse([], safe=False)\n key = body['key']\n ret = []\n for i in value_list:\n if key in i:\n ret.append(i)\n return JsonResponse(ret, safe=False)\n else:\n return HttpResponse(status=404)\n\n\n<assignment token>\n\n\ndef get_fruits(request):\n return JsonResponse(fruites, safe=False)\n\n\ndef login(request):\n users = [{'user': 'user1', 'psw': 'user1'}, {'user': 'user2', 'psw':\n 'user2'}]\n method = request.method\n if method == 'POST':\n body = json.loads(request.body)\n if 'name' not in body or 'psw' not in body:\n return JsonResponse({'success': False}, safe=False)\n for user in users:\n if user['user'] == body['name'] and user['psw'] == body['psw']:\n return JsonResponse({'success': True}, safe=False)\n else:\n return JsonResponse({'success': False}, safe=False)\n else:\n return HttpResponse(status=404)\n\n\ndef style_demo(request):\n return render(request, 'style_demo.html')\n\n\ndef component_info(request):\n return render(request, 'component_info.html')\n", "<import token>\n\n\ndef index(request):\n return render(request, 'index.html')\n\n\n<assignment token>\n<function token>\n\n\ndef search_key(request):\n method = request.method\n if method == 'POST':\n body = json.loads(request.body)\n if 'key' not in body:\n return JsonResponse([], safe=False)\n key = body['key']\n ret = []\n for i in value_list:\n if key in i:\n ret.append(i)\n return JsonResponse(ret, safe=False)\n else:\n return HttpResponse(status=404)\n\n\n<assignment token>\n\n\ndef get_fruits(request):\n return JsonResponse(fruites, safe=False)\n\n\ndef login(request):\n users = [{'user': 'user1', 'psw': 'user1'}, {'user': 'user2', 'psw':\n 'user2'}]\n method = request.method\n if method == 'POST':\n body = json.loads(request.body)\n if 'name' not in body or 'psw' not in body:\n return JsonResponse({'success': False}, safe=False)\n for user in users:\n if user['user'] == body['name'] and user['psw'] == body['psw']:\n return JsonResponse({'success': True}, safe=False)\n else:\n return JsonResponse({'success': False}, safe=False)\n else:\n return HttpResponse(status=404)\n\n\ndef style_demo(request):\n return render(request, 'style_demo.html')\n\n\ndef component_info(request):\n return render(request, 'component_info.html')\n", "<import token>\n\n\ndef index(request):\n return render(request, 'index.html')\n\n\n<assignment token>\n<function token>\n\n\ndef search_key(request):\n method = request.method\n if method == 'POST':\n body = json.loads(request.body)\n if 'key' not in body:\n return JsonResponse([], safe=False)\n key = body['key']\n ret = []\n for i in value_list:\n if key in i:\n ret.append(i)\n return JsonResponse(ret, safe=False)\n else:\n return HttpResponse(status=404)\n\n\n<assignment token>\n\n\ndef get_fruits(request):\n return JsonResponse(fruites, safe=False)\n\n\n<function token>\n\n\ndef style_demo(request):\n return render(request, 'style_demo.html')\n\n\ndef component_info(request):\n return render(request, 'component_info.html')\n", "<import token>\n\n\ndef index(request):\n return render(request, 'index.html')\n\n\n<assignment token>\n<function token>\n<function token>\n<assignment token>\n\n\ndef get_fruits(request):\n return JsonResponse(fruites, safe=False)\n\n\n<function token>\n\n\ndef style_demo(request):\n return render(request, 'style_demo.html')\n\n\ndef component_info(request):\n return render(request, 'component_info.html')\n", "<import token>\n\n\ndef index(request):\n return render(request, 'index.html')\n\n\n<assignment token>\n<function token>\n<function token>\n<assignment token>\n\n\ndef get_fruits(request):\n return JsonResponse(fruites, safe=False)\n\n\n<function token>\n\n\ndef style_demo(request):\n return render(request, 'style_demo.html')\n\n\n<function token>\n", "<import token>\n\n\ndef index(request):\n return render(request, 'index.html')\n\n\n<assignment token>\n<function token>\n<function token>\n<assignment token>\n<function token>\n<function token>\n\n\ndef style_demo(request):\n return render(request, 'style_demo.html')\n\n\n<function token>\n", "<import token>\n<function token>\n<assignment token>\n<function token>\n<function token>\n<assignment token>\n<function token>\n<function token>\n\n\ndef style_demo(request):\n return render(request, 'style_demo.html')\n\n\n<function token>\n", "<import token>\n<function token>\n<assignment token>\n<function token>\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n" ]
false
98,623
ee8456f34385061376c345926a02d6095581ec3b
# ______________________________________________________________________________________________________________________ # this code is **************************************(U) UNCLASSIFIED*************************************************** # ______________________________________________________________________________________________________________________ # coding=utf-8 # ---------------------------------------------------------------------------------------------------------------------- # program name: parse_tweet_data # major version: 1.1 # program purpose: This program converts the updated ~10M tweet dataset and uses various functions to parse, # inventory, and prep the data for topic modelling and metadata analysis. # python version: 3.6 # # Author: Emily Parrish # major version created:20200602 # last modification: 20200602 Created all major functions for inventoring and parsing # 20200612 Adjusted directory structure for outputs # ---------------------------------------------------------------------------------------------------------------------- import os import sys import string import csv import operator import pandas as pd from datetime import datetime import numpy as np import matplotlib.pyplot as plt import collections import re from helpers import * # global paths path = r'E:\Twitter\Russia\Russia_1906' path_split = path.split('\\') # current date today = '20' + datetime.now().strftime('%m%d') def convert_source(infile): ''' Imports a CSV file into Python Pandas and outputs a Pandas Data Frame Object. It then saves this object to a pkl file for more efficient import of other processes. Inputs: *.csv file Outputs: *.pkl file in the input directory ''' # construct absolute path filepath = os.path.join(path, infile) # import *.csv file to data frame df = pd.read_csv(filepath) outfile = path_split[1] + '_' + path_split[3] + '_' + today + '.pkl' # save data frame to *.pkl file of same name ext_path = os.path.join(path, '1_DataFrames') df.to_pickle(os.path.join(ext_path, outfile)) def convert_comb(files): '''Takes a list of *.csv file inputs and creates a single data frames from each of them. Inputs: Input *.csv files to be combined into a single data frame Outputs: A data frame for each input and a single output combined data frame ''' dfs = list() for file in files: ext_path = os.path.join(path, '1_DataFrames') df = pd.read_pickle(os.path.join(ext_path, file)) dfs.append(df) new_df = merge_df(dfs) outfile = path_split[1] + '_' + path_split[3] + '_' + today + '.pkl' # save new data frame under *.pkl file ext_path = os.path.join(path, '1_DataFrames') new_df.to_pickle(os.path.join(ext_path, outfile)) return new_df def sort_df(df, field='tweet_time'): ''' Takes a Pandas data frame of Twitter data and sorts by a specified field to prep for data frame parsing steps. It also adds a column called "unique_id_ida" with formatted ID numbers for each tweet. Inputs: Pandas data frame imported from *.csv or *.pkl file Field in data frame to be sorted (OPTIONAL: tweet_time, aka sort by date, is the default) Outputs: *.pkl file in the input directory with "sorted" label sorted, containing additional column "unique_id_ida" with 7-digit ID numbers beginning with 0000000 (i.e. 1234567, 0000134) ''' # turn any time fields into datetime objects if field == 'tweet_time': df['tweet_time'] = pd.to_datetime(df.tweet_time) # sort data frame by field column df = df.sort_values(by=field) # generate list of unique ID numbers with 7-digits (leading zeros for smaller numbers) in_list = list() for i in range(0, len(df.index)): i = str(i) while len(i) != 7: i = "0" + i in_list.append(i) # add column ID numbers to data frame df['unique_id_ida'] = np.array(in_list) outfile = path_split[1] + '_' + path_split[3] + '_sorted_' + today + '.pkl' # save new data frame under *.pkl file ext_path = os.path.join(path, '1_DataFrames') df.to_pickle(os.path.join(ext_path, outfile)) return df def split_df(df, num=30): '''Takes an input data frame and creates inventories for that data frame, sorted by date. First automatically calls the sort function to sort the data frame by the default (date). Inputs: Pandas data frame imported from *.csv or *.pkl file Number of inventories to split into. Users discresction depending on size of the data set. Outputs: Directory of inventories containing Tweet content and metadata. These inventories are divided in such a way to keep them between 130 and 160 MB, labelled with alphabetical characters to order them. They are sorted by date with the ranges of dates in each inventory in the file name (i.e. AA_Twitter10M_090509_130214.csv) ''' df = sort_df(df) alphabets = string.ascii_lowercase a_list = list() for i in alphabets: for j in alphabets: a_list.append(i.upper() + j.upper()) # splits data set into 30 different data frames of equal size, which will each represent an individual inventory. df_split = np.array_split(df, num) subpath = os.path.join(path, '2_Inventories') alpha_index = 0 last_i = len(df_split) - 1 for item in df_split: df_sub = pd.concat([item.head(1), item.tail(1)]) date_bounds = pd.Series(df_sub['tweet_time'].tolist()) date_bounds_format = (date_bounds.dt.strftime('%Y%m%d')).tolist() to_file = item[item.tweet_time.dt.strftime('%Y%m%d') != date_bounds[1].strftime('%Y%m%d')] if alpha_index == 0: comb_df = to_file elif alpha_index == last_i: comb_df = pd.concat([extra_rows, item], axis=0) else: comb_df = pd.concat([extra_rows, to_file], axis=0) prevdate = str(int(date_bounds_format[1]) - 1) filename = a_list[alpha_index] + '_' + path_split[1] + '_' + path_split[3] + '_' + date_bounds_format[0][2:] + '_' + prevdate[2:] + '.csv' print(filename) filepath = os.path.join(subpath,filename) comb_df.to_csv(filepath) extra_rows = item[item.tweet_time.dt.strftime('%Y%m%d') == date_bounds[1].strftime('%Y%m%d')] alpha_index += 1 def get_lang(df, lang): '''Takes an input data frame and generates a data frame with only a specific language's tweets (user specified). Inputs: Pandas data frame imported from *.csv or *.pkl file Language code for language of interest Outputs: Pandas data frame with a subset of tweets from that specific language ''' lang_df = df.loc[df['tweet_language'] == lang] outfile = path_split[1] + '_' + path_split[3] + '_sorted_' + lang + '_' + today + '.pkl' # save new data frame under *.pkl file ext_path = os.path.join(path, '1_DataFrames') lang_df.to_pickle(os.path.join(ext_path, outfile)) return lang_df def strip_formatting(df, lim, lang='allLang'): '''Takes an imput data frame and removes emojis, punctuation, HTML entities like &amp;, links, handles, and emojis. Then based on a user specified character limit, it removes the tweets that are below that limit and returns the sub- data frame. Inputs: Pandas data frame imported from *.csv or *.pkl file Character limit for parsing after strip functionality implemented Language label user provides for file naming (if it is a data frame describing a particular language) Outputs: Pandas data frame with subset of tweets that satisfied the character limit after removind entities of interest ''' tweets = df['tweet_text'].to_list() edit_tweets = list() include = list() for tweet in tweets: strip_tweet = strip_accounts(remove_punctuation(strip_html_entities(strip_links(strip_emoji(tweet))))) edit_tweets.append(strip_tweet) if is_length(strip_tweet, lim): include.append('1') else: include.append('0') df['stripped_tweet'] = edit_tweets df['tweet_length'] = df['tweet_text'].str.len() df['include_topic_model'] = include df['stripped_tweet_length'] = df['include_topic_model'].str.len() sub_df = df.loc[df['include_topic_model'] == '1'] outfile = path_split[1] + '_' + path_split[3] + '_sorted_strip_' + lang + '_' + today + '.pkl' # save new data frame under *.pkl file ext_path = os.path.join(path, '1_DataFrames') sub_df.to_pickle(os.path.join(ext_path, outfile)) return sub_df def extract_content(df, label='All_Languages'): '''Takes an input data frame and extracts the individual Tweets and places it in chronological directories incremented by intervals based on a month. Inputs: Pandas data frame imported from *.csv or *.pkl file Language label user provides for file naming (if it is a data frame describing a particular language) Outputs: Directories of binned tweets by month. Each tweet is in its own text file with the stripped tweet content only in the file. Each file is named accordingly like the following example: ''' date_bounds = pd.Series(df['tweet_time'].tolist()) date_bounds_ymd = (date_bounds.dt.strftime('%Y%m%d')).tolist() date_bounds_hms = (date_bounds.dt.strftime('%H%M')).tolist() content = pd.Series(df['stripped_tweet'].tolist()) unid = pd.Series(df['unique_id_ida'].tolist()) print('Total Files to process: ' + str(len(date_bounds_ymd))) parentdir = os.path.join(path, label) os.mkdir(parentdir) for i in range(0, len(date_bounds_ymd)): dir = date_bounds_ymd[i][:4] + '-' + date_bounds_ymd[i][4:6] fulldir = os.path.join(parentdir, dir) filename = str(unid[i]) + '_' + path_split[1] + '_' + path_split[3] + '_' + date_bounds_ymd[i][2:] + '_' + date_bounds_hms[i][:4] + '.txt' outpath = os.path.join(fulldir, filename) if os.path.exists(outpath): pass else: if os.path.isdir(fulldir): pass else: os.mkdir(fulldir) if int(i) % 10000 == 0: print('Files up to ' + str(i) + ' processed.') f = open(outpath, 'w', encoding='utf-8') f.write(content[i]) f.close() def generate_freq(df): '''Takes an input data frame and generates a histogram of number of tweets binned by month. Inputs: Pandas data frame imported from *.csv or *.pkl file Input parameter called "increment", which determined by what time interval the tweets are organized Outputs: Histogram ''' date_bounds = pd.Series(df['tweet_time'].tolist()) date_bounds_ym = (date_bounds.dt.strftime('%Y-%m')).tolist() df['date_md'] = np.array(date_bounds_ym) sort = df.sort_values(by=['date_md']) frq = sort['date_md'].value_counts().to_dict() frq_df = sort['date_md'].value_counts() od = collections.OrderedDict(sorted(frq.items())) rf_dates = list() for item in list(od.keys()): date_rf = date_reformat(item) rf_dates.append(date_rf) data = {"Date": rf_dates, "Freq": list(od.values())} graph_frame = pd.dataframe(data=data) frq_df.to_csv(os.path.join(path, 'tweet_freq_' + today + '.csv')) ax = graph_frame.plot.bar(x="Date", y="Freq", rot=45) plt.show() def main(): print('Start time: ' + str(datetime.now())) infile = 'Twitter_Russia_1906_sorted_strip_en_200929.pkl' inpath = os.path.join(path, '1_DataFrames') infilepath = os.path.join(inpath, infile) stripped_en = pd.read_pickle(infilepath) print(stripped_en.head()['unique_id_ida']) # sorted = sort_df(df) # split_df(sorted, 1) # # en_df = get_lang(sorted, 'en') # stripped_en = strip_formatting(en_df, 10, 'en') # # ru_df = get_lang(sorted, 'ru') # stripped_ru = strip_formatting(ru_df, 12, 'ru') # # zh_df = get_lang(sorted, 'zh') # stripped_zh = strip_formatting(zh_df, 2, 'zh') extract_content(stripped_en, 'English') print('End time: ' + str(datetime.now())) if __name__ == '__main__': main() # this code is **************************************(U) UNCLASSIFIED***************************************************
[ "# ______________________________________________________________________________________________________________________\n# this code is **************************************(U) UNCLASSIFIED***************************************************\n# ______________________________________________________________________________________________________________________\n# coding=utf-8\n# ----------------------------------------------------------------------------------------------------------------------\n# program name: parse_tweet_data\n# major version: 1.1\n# program purpose: This program converts the updated ~10M tweet dataset and uses various functions to parse,\n# inventory, and prep the data for topic modelling and metadata analysis.\n# python version: 3.6\n#\n# Author: Emily Parrish\n# major version created:20200602\n# last modification: 20200602 Created all major functions for inventoring and parsing\n# 20200612 Adjusted directory structure for outputs\n\n# ----------------------------------------------------------------------------------------------------------------------\n\nimport os\nimport sys\nimport string\nimport csv\nimport operator\nimport pandas as pd\nfrom datetime import datetime\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport collections\nimport re\nfrom helpers import *\n\n# global paths\npath = r'E:\\Twitter\\Russia\\Russia_1906'\npath_split = path.split('\\\\')\n# current date\ntoday = '20' + datetime.now().strftime('%m%d')\n\ndef convert_source(infile):\n ''' Imports a CSV file into Python Pandas and outputs a Pandas Data Frame Object. It then saves this object to a\n pkl file for more efficient import of other processes.\n\n Inputs: *.csv file\n Outputs: *.pkl file in the input directory\n '''\n\n # construct absolute path\n filepath = os.path.join(path, infile)\n\n # import *.csv file to data frame\n df = pd.read_csv(filepath)\n\n outfile = path_split[1] + '_' + path_split[3] + '_' + today + '.pkl'\n\n # save data frame to *.pkl file of same name\n ext_path = os.path.join(path, '1_DataFrames')\n df.to_pickle(os.path.join(ext_path, outfile))\n\ndef convert_comb(files):\n '''Takes a list of *.csv file inputs and creates a single data frames from each of them.\n\n Inputs: Input *.csv files to be combined into a single data frame\n Outputs: A data frame for each input and a single output combined data frame\n '''\n\n dfs = list()\n for file in files:\n ext_path = os.path.join(path, '1_DataFrames')\n df = pd.read_pickle(os.path.join(ext_path, file))\n dfs.append(df)\n\n new_df = merge_df(dfs)\n\n outfile = path_split[1] + '_' + path_split[3] + '_' + today + '.pkl'\n\n # save new data frame under *.pkl file\n ext_path = os.path.join(path, '1_DataFrames')\n new_df.to_pickle(os.path.join(ext_path, outfile))\n\n return new_df\n\ndef sort_df(df, field='tweet_time'):\n ''' Takes a Pandas data frame of Twitter data and sorts by a specified field to prep for data frame parsing steps. It\n also adds a column called \"unique_id_ida\" with formatted ID numbers for each tweet.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Field in data frame to be sorted (OPTIONAL: tweet_time, aka sort by date, is the default)\n Outputs: *.pkl file in the input directory with \"sorted\" label sorted, containing additional column \"unique_id_ida\"\n with 7-digit ID numbers beginning with 0000000 (i.e. 1234567, 0000134)\n '''\n\n # turn any time fields into datetime objects\n if field == 'tweet_time':\n df['tweet_time'] = pd.to_datetime(df.tweet_time)\n\n # sort data frame by field column\n df = df.sort_values(by=field)\n\n # generate list of unique ID numbers with 7-digits (leading zeros for smaller numbers)\n in_list = list()\n for i in range(0, len(df.index)):\n i = str(i)\n while len(i) != 7:\n i = \"0\" + i\n in_list.append(i)\n\n # add column ID numbers to data frame\n df['unique_id_ida'] = np.array(in_list)\n\n outfile = path_split[1] + '_' + path_split[3] + '_sorted_' + today + '.pkl'\n\n # save new data frame under *.pkl file\n ext_path = os.path.join(path, '1_DataFrames')\n df.to_pickle(os.path.join(ext_path, outfile))\n\n return df\n\ndef split_df(df, num=30):\n '''Takes an input data frame and creates inventories for that data frame, sorted by date. First automatically calls\n the sort function to sort the data frame by the default (date).\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Number of inventories to split into. Users discresction depending on size of the data set.\n Outputs: Directory of inventories containing Tweet content and metadata. These inventories are divided in such a\n way to keep them between 130 and 160 MB, labelled with alphabetical characters to order them. They are\n sorted by date with the ranges of dates in each inventory in the file name\n (i.e. AA_Twitter10M_090509_130214.csv)\n '''\n\n df = sort_df(df)\n\n alphabets = string.ascii_lowercase\n a_list = list()\n for i in alphabets:\n for j in alphabets:\n a_list.append(i.upper() + j.upper())\n\n # splits data set into 30 different data frames of equal size, which will each represent an individual inventory.\n df_split = np.array_split(df, num) \n subpath = os.path.join(path, '2_Inventories')\n\n alpha_index = 0\n last_i = len(df_split) - 1\n\n for item in df_split:\n\n df_sub = pd.concat([item.head(1), item.tail(1)])\n date_bounds = pd.Series(df_sub['tweet_time'].tolist())\n date_bounds_format = (date_bounds.dt.strftime('%Y%m%d')).tolist()\n\n to_file = item[item.tweet_time.dt.strftime('%Y%m%d') != date_bounds[1].strftime('%Y%m%d')]\n\n if alpha_index == 0:\n comb_df = to_file\n elif alpha_index == last_i:\n comb_df = pd.concat([extra_rows, item], axis=0)\n else:\n comb_df = pd.concat([extra_rows, to_file], axis=0)\n\n prevdate = str(int(date_bounds_format[1]) - 1)\n filename = a_list[alpha_index] + '_' + path_split[1] + '_' + path_split[3] + '_' + date_bounds_format[0][2:] + '_' + prevdate[2:] + '.csv'\n print(filename)\n\n filepath = os.path.join(subpath,filename)\n comb_df.to_csv(filepath)\n\n extra_rows = item[item.tweet_time.dt.strftime('%Y%m%d') == date_bounds[1].strftime('%Y%m%d')]\n alpha_index += 1\n\n\ndef get_lang(df, lang):\n '''Takes an input data frame and generates a data frame with only a specific language's tweets (user specified).\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Language code for language of interest\n Outputs: Pandas data frame with a subset of tweets from that specific language\n '''\n lang_df = df.loc[df['tweet_language'] == lang]\n\n outfile = path_split[1] + '_' + path_split[3] + '_sorted_' + lang + '_' + today + '.pkl'\n\n # save new data frame under *.pkl file\n ext_path = os.path.join(path, '1_DataFrames')\n lang_df.to_pickle(os.path.join(ext_path, outfile))\n\n return lang_df\n\n\ndef strip_formatting(df, lim, lang='allLang'):\n '''Takes an imput data frame and removes emojis, punctuation, HTML entities like &amp;, links, handles, and emojis.\n Then based on a user specified character limit, it removes the tweets that are below that limit and returns the sub-\n data frame.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Character limit for parsing after strip functionality implemented\n Language label user provides for file naming (if it is a data frame describing a particular language)\n Outputs: Pandas data frame with subset of tweets that satisfied the character limit after removind entities\n of interest\n '''\n\n tweets = df['tweet_text'].to_list()\n\n edit_tweets = list()\n include = list()\n\n for tweet in tweets:\n\n strip_tweet = strip_accounts(remove_punctuation(strip_html_entities(strip_links(strip_emoji(tweet)))))\n\n edit_tweets.append(strip_tweet)\n\n if is_length(strip_tweet, lim):\n include.append('1')\n else:\n include.append('0')\n\n df['stripped_tweet'] = edit_tweets\n df['tweet_length'] = df['tweet_text'].str.len()\n df['include_topic_model'] = include\n df['stripped_tweet_length'] = df['include_topic_model'].str.len()\n\n sub_df = df.loc[df['include_topic_model'] == '1']\n\n outfile = path_split[1] + '_' + path_split[3] + '_sorted_strip_' + lang + '_' + today + '.pkl'\n\n # save new data frame under *.pkl file\n ext_path = os.path.join(path, '1_DataFrames')\n sub_df.to_pickle(os.path.join(ext_path, outfile))\n\n return sub_df\n\ndef extract_content(df, label='All_Languages'):\n '''Takes an input data frame and extracts the individual Tweets and places it in chronological directories\n incremented by intervals based on a month.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Language label user provides for file naming (if it is a data frame describing a particular language)\n Outputs: Directories of binned tweets by month. Each tweet is in its own text file with the stripped tweet content\n only in the file. Each file is named accordingly like the following example:\n '''\n\n date_bounds = pd.Series(df['tweet_time'].tolist())\n date_bounds_ymd = (date_bounds.dt.strftime('%Y%m%d')).tolist()\n date_bounds_hms = (date_bounds.dt.strftime('%H%M')).tolist()\n content = pd.Series(df['stripped_tweet'].tolist())\n unid = pd.Series(df['unique_id_ida'].tolist())\n print('Total Files to process: ' + str(len(date_bounds_ymd)))\n\n parentdir = os.path.join(path, label)\n os.mkdir(parentdir)\n\n for i in range(0, len(date_bounds_ymd)):\n dir = date_bounds_ymd[i][:4] + '-' + date_bounds_ymd[i][4:6]\n fulldir = os.path.join(parentdir, dir)\n filename = str(unid[i]) + '_' + path_split[1] + '_' + path_split[3] + '_' + date_bounds_ymd[i][2:] + '_' + date_bounds_hms[i][:4] + '.txt'\n\n outpath = os.path.join(fulldir, filename)\n\n if os.path.exists(outpath):\n pass\n else:\n if os.path.isdir(fulldir):\n pass\n else:\n os.mkdir(fulldir)\n\n if int(i) % 10000 == 0:\n\n print('Files up to ' + str(i) + ' processed.')\n\n f = open(outpath, 'w', encoding='utf-8')\n f.write(content[i])\n f.close()\n\ndef generate_freq(df):\n '''Takes an input data frame and generates a histogram of number of tweets binned by month.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Input parameter called \"increment\", which determined by what time interval the tweets are organized\n Outputs: Histogram\n '''\n\n date_bounds = pd.Series(df['tweet_time'].tolist())\n date_bounds_ym = (date_bounds.dt.strftime('%Y-%m')).tolist()\n df['date_md'] = np.array(date_bounds_ym)\n\n sort = df.sort_values(by=['date_md'])\n\n frq = sort['date_md'].value_counts().to_dict()\n frq_df = sort['date_md'].value_counts()\n\n od = collections.OrderedDict(sorted(frq.items()))\n rf_dates = list()\n\n for item in list(od.keys()):\n date_rf = date_reformat(item)\n rf_dates.append(date_rf)\n\n data = {\"Date\": rf_dates, \"Freq\": list(od.values())}\n graph_frame = pd.dataframe(data=data)\n frq_df.to_csv(os.path.join(path, 'tweet_freq_' + today + '.csv'))\n\n ax = graph_frame.plot.bar(x=\"Date\", y=\"Freq\", rot=45)\n\n plt.show()\n\n\ndef main():\n print('Start time: ' + str(datetime.now()))\n\n infile = 'Twitter_Russia_1906_sorted_strip_en_200929.pkl'\n inpath = os.path.join(path, '1_DataFrames')\n infilepath = os.path.join(inpath, infile)\n\n stripped_en = pd.read_pickle(infilepath)\n print(stripped_en.head()['unique_id_ida'])\n\n # sorted = sort_df(df)\n # split_df(sorted, 1)\n #\n # en_df = get_lang(sorted, 'en')\n # stripped_en = strip_formatting(en_df, 10, 'en')\n #\n # ru_df = get_lang(sorted, 'ru')\n # stripped_ru = strip_formatting(ru_df, 12, 'ru')\n #\n # zh_df = get_lang(sorted, 'zh')\n # stripped_zh = strip_formatting(zh_df, 2, 'zh')\n\n extract_content(stripped_en, 'English')\n\n print('End time: ' + str(datetime.now()))\n\nif __name__ == '__main__':\n main()\n\n# this code is **************************************(U) UNCLASSIFIED***************************************************", "import os\nimport sys\nimport string\nimport csv\nimport operator\nimport pandas as pd\nfrom datetime import datetime\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport collections\nimport re\nfrom helpers import *\npath = 'E:\\\\Twitter\\\\Russia\\\\Russia_1906'\npath_split = path.split('\\\\')\ntoday = '20' + datetime.now().strftime('%m%d')\n\n\ndef convert_source(infile):\n \"\"\" Imports a CSV file into Python Pandas and outputs a Pandas Data Frame Object. It then saves this object to a\n pkl file for more efficient import of other processes.\n\n Inputs: *.csv file\n Outputs: *.pkl file in the input directory\n \"\"\"\n filepath = os.path.join(path, infile)\n df = pd.read_csv(filepath)\n outfile = path_split[1] + '_' + path_split[3] + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n df.to_pickle(os.path.join(ext_path, outfile))\n\n\ndef convert_comb(files):\n \"\"\"Takes a list of *.csv file inputs and creates a single data frames from each of them.\n\n Inputs: Input *.csv files to be combined into a single data frame\n Outputs: A data frame for each input and a single output combined data frame\n \"\"\"\n dfs = list()\n for file in files:\n ext_path = os.path.join(path, '1_DataFrames')\n df = pd.read_pickle(os.path.join(ext_path, file))\n dfs.append(df)\n new_df = merge_df(dfs)\n outfile = path_split[1] + '_' + path_split[3] + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n new_df.to_pickle(os.path.join(ext_path, outfile))\n return new_df\n\n\ndef sort_df(df, field='tweet_time'):\n \"\"\" Takes a Pandas data frame of Twitter data and sorts by a specified field to prep for data frame parsing steps. It\n also adds a column called \"unique_id_ida\" with formatted ID numbers for each tweet.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Field in data frame to be sorted (OPTIONAL: tweet_time, aka sort by date, is the default)\n Outputs: *.pkl file in the input directory with \"sorted\" label sorted, containing additional column \"unique_id_ida\"\n with 7-digit ID numbers beginning with 0000000 (i.e. 1234567, 0000134)\n \"\"\"\n if field == 'tweet_time':\n df['tweet_time'] = pd.to_datetime(df.tweet_time)\n df = df.sort_values(by=field)\n in_list = list()\n for i in range(0, len(df.index)):\n i = str(i)\n while len(i) != 7:\n i = '0' + i\n in_list.append(i)\n df['unique_id_ida'] = np.array(in_list)\n outfile = path_split[1] + '_' + path_split[3] + '_sorted_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n df.to_pickle(os.path.join(ext_path, outfile))\n return df\n\n\ndef split_df(df, num=30):\n \"\"\"Takes an input data frame and creates inventories for that data frame, sorted by date. First automatically calls\n the sort function to sort the data frame by the default (date).\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Number of inventories to split into. Users discresction depending on size of the data set.\n Outputs: Directory of inventories containing Tweet content and metadata. These inventories are divided in such a\n way to keep them between 130 and 160 MB, labelled with alphabetical characters to order them. They are\n sorted by date with the ranges of dates in each inventory in the file name\n (i.e. AA_Twitter10M_090509_130214.csv)\n \"\"\"\n df = sort_df(df)\n alphabets = string.ascii_lowercase\n a_list = list()\n for i in alphabets:\n for j in alphabets:\n a_list.append(i.upper() + j.upper())\n df_split = np.array_split(df, num)\n subpath = os.path.join(path, '2_Inventories')\n alpha_index = 0\n last_i = len(df_split) - 1\n for item in df_split:\n df_sub = pd.concat([item.head(1), item.tail(1)])\n date_bounds = pd.Series(df_sub['tweet_time'].tolist())\n date_bounds_format = date_bounds.dt.strftime('%Y%m%d').tolist()\n to_file = item[item.tweet_time.dt.strftime('%Y%m%d') != date_bounds\n [1].strftime('%Y%m%d')]\n if alpha_index == 0:\n comb_df = to_file\n elif alpha_index == last_i:\n comb_df = pd.concat([extra_rows, item], axis=0)\n else:\n comb_df = pd.concat([extra_rows, to_file], axis=0)\n prevdate = str(int(date_bounds_format[1]) - 1)\n filename = a_list[alpha_index] + '_' + path_split[1\n ] + '_' + path_split[3] + '_' + date_bounds_format[0][2:\n ] + '_' + prevdate[2:] + '.csv'\n print(filename)\n filepath = os.path.join(subpath, filename)\n comb_df.to_csv(filepath)\n extra_rows = item[item.tweet_time.dt.strftime('%Y%m%d') ==\n date_bounds[1].strftime('%Y%m%d')]\n alpha_index += 1\n\n\ndef get_lang(df, lang):\n \"\"\"Takes an input data frame and generates a data frame with only a specific language's tweets (user specified).\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Language code for language of interest\n Outputs: Pandas data frame with a subset of tweets from that specific language\n \"\"\"\n lang_df = df.loc[df['tweet_language'] == lang]\n outfile = path_split[1] + '_' + path_split[3\n ] + '_sorted_' + lang + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n lang_df.to_pickle(os.path.join(ext_path, outfile))\n return lang_df\n\n\ndef strip_formatting(df, lim, lang='allLang'):\n \"\"\"Takes an imput data frame and removes emojis, punctuation, HTML entities like &amp;, links, handles, and emojis.\n Then based on a user specified character limit, it removes the tweets that are below that limit and returns the sub-\n data frame.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Character limit for parsing after strip functionality implemented\n Language label user provides for file naming (if it is a data frame describing a particular language)\n Outputs: Pandas data frame with subset of tweets that satisfied the character limit after removind entities\n of interest\n \"\"\"\n tweets = df['tweet_text'].to_list()\n edit_tweets = list()\n include = list()\n for tweet in tweets:\n strip_tweet = strip_accounts(remove_punctuation(strip_html_entities\n (strip_links(strip_emoji(tweet)))))\n edit_tweets.append(strip_tweet)\n if is_length(strip_tweet, lim):\n include.append('1')\n else:\n include.append('0')\n df['stripped_tweet'] = edit_tweets\n df['tweet_length'] = df['tweet_text'].str.len()\n df['include_topic_model'] = include\n df['stripped_tweet_length'] = df['include_topic_model'].str.len()\n sub_df = df.loc[df['include_topic_model'] == '1']\n outfile = path_split[1] + '_' + path_split[3\n ] + '_sorted_strip_' + lang + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n sub_df.to_pickle(os.path.join(ext_path, outfile))\n return sub_df\n\n\ndef extract_content(df, label='All_Languages'):\n \"\"\"Takes an input data frame and extracts the individual Tweets and places it in chronological directories\n incremented by intervals based on a month.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Language label user provides for file naming (if it is a data frame describing a particular language)\n Outputs: Directories of binned tweets by month. Each tweet is in its own text file with the stripped tweet content\n only in the file. Each file is named accordingly like the following example:\n \"\"\"\n date_bounds = pd.Series(df['tweet_time'].tolist())\n date_bounds_ymd = date_bounds.dt.strftime('%Y%m%d').tolist()\n date_bounds_hms = date_bounds.dt.strftime('%H%M').tolist()\n content = pd.Series(df['stripped_tweet'].tolist())\n unid = pd.Series(df['unique_id_ida'].tolist())\n print('Total Files to process: ' + str(len(date_bounds_ymd)))\n parentdir = os.path.join(path, label)\n os.mkdir(parentdir)\n for i in range(0, len(date_bounds_ymd)):\n dir = date_bounds_ymd[i][:4] + '-' + date_bounds_ymd[i][4:6]\n fulldir = os.path.join(parentdir, dir)\n filename = str(unid[i]) + '_' + path_split[1] + '_' + path_split[3\n ] + '_' + date_bounds_ymd[i][2:] + '_' + date_bounds_hms[i][:4\n ] + '.txt'\n outpath = os.path.join(fulldir, filename)\n if os.path.exists(outpath):\n pass\n else:\n if os.path.isdir(fulldir):\n pass\n else:\n os.mkdir(fulldir)\n if int(i) % 10000 == 0:\n print('Files up to ' + str(i) + ' processed.')\n f = open(outpath, 'w', encoding='utf-8')\n f.write(content[i])\n f.close()\n\n\ndef generate_freq(df):\n \"\"\"Takes an input data frame and generates a histogram of number of tweets binned by month.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Input parameter called \"increment\", which determined by what time interval the tweets are organized\n Outputs: Histogram\n \"\"\"\n date_bounds = pd.Series(df['tweet_time'].tolist())\n date_bounds_ym = date_bounds.dt.strftime('%Y-%m').tolist()\n df['date_md'] = np.array(date_bounds_ym)\n sort = df.sort_values(by=['date_md'])\n frq = sort['date_md'].value_counts().to_dict()\n frq_df = sort['date_md'].value_counts()\n od = collections.OrderedDict(sorted(frq.items()))\n rf_dates = list()\n for item in list(od.keys()):\n date_rf = date_reformat(item)\n rf_dates.append(date_rf)\n data = {'Date': rf_dates, 'Freq': list(od.values())}\n graph_frame = pd.dataframe(data=data)\n frq_df.to_csv(os.path.join(path, 'tweet_freq_' + today + '.csv'))\n ax = graph_frame.plot.bar(x='Date', y='Freq', rot=45)\n plt.show()\n\n\ndef main():\n print('Start time: ' + str(datetime.now()))\n infile = 'Twitter_Russia_1906_sorted_strip_en_200929.pkl'\n inpath = os.path.join(path, '1_DataFrames')\n infilepath = os.path.join(inpath, infile)\n stripped_en = pd.read_pickle(infilepath)\n print(stripped_en.head()['unique_id_ida'])\n extract_content(stripped_en, 'English')\n print('End time: ' + str(datetime.now()))\n\n\nif __name__ == '__main__':\n main()\n", "<import token>\npath = 'E:\\\\Twitter\\\\Russia\\\\Russia_1906'\npath_split = path.split('\\\\')\ntoday = '20' + datetime.now().strftime('%m%d')\n\n\ndef convert_source(infile):\n \"\"\" Imports a CSV file into Python Pandas and outputs a Pandas Data Frame Object. It then saves this object to a\n pkl file for more efficient import of other processes.\n\n Inputs: *.csv file\n Outputs: *.pkl file in the input directory\n \"\"\"\n filepath = os.path.join(path, infile)\n df = pd.read_csv(filepath)\n outfile = path_split[1] + '_' + path_split[3] + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n df.to_pickle(os.path.join(ext_path, outfile))\n\n\ndef convert_comb(files):\n \"\"\"Takes a list of *.csv file inputs and creates a single data frames from each of them.\n\n Inputs: Input *.csv files to be combined into a single data frame\n Outputs: A data frame for each input and a single output combined data frame\n \"\"\"\n dfs = list()\n for file in files:\n ext_path = os.path.join(path, '1_DataFrames')\n df = pd.read_pickle(os.path.join(ext_path, file))\n dfs.append(df)\n new_df = merge_df(dfs)\n outfile = path_split[1] + '_' + path_split[3] + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n new_df.to_pickle(os.path.join(ext_path, outfile))\n return new_df\n\n\ndef sort_df(df, field='tweet_time'):\n \"\"\" Takes a Pandas data frame of Twitter data and sorts by a specified field to prep for data frame parsing steps. It\n also adds a column called \"unique_id_ida\" with formatted ID numbers for each tweet.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Field in data frame to be sorted (OPTIONAL: tweet_time, aka sort by date, is the default)\n Outputs: *.pkl file in the input directory with \"sorted\" label sorted, containing additional column \"unique_id_ida\"\n with 7-digit ID numbers beginning with 0000000 (i.e. 1234567, 0000134)\n \"\"\"\n if field == 'tweet_time':\n df['tweet_time'] = pd.to_datetime(df.tweet_time)\n df = df.sort_values(by=field)\n in_list = list()\n for i in range(0, len(df.index)):\n i = str(i)\n while len(i) != 7:\n i = '0' + i\n in_list.append(i)\n df['unique_id_ida'] = np.array(in_list)\n outfile = path_split[1] + '_' + path_split[3] + '_sorted_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n df.to_pickle(os.path.join(ext_path, outfile))\n return df\n\n\ndef split_df(df, num=30):\n \"\"\"Takes an input data frame and creates inventories for that data frame, sorted by date. First automatically calls\n the sort function to sort the data frame by the default (date).\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Number of inventories to split into. Users discresction depending on size of the data set.\n Outputs: Directory of inventories containing Tweet content and metadata. These inventories are divided in such a\n way to keep them between 130 and 160 MB, labelled with alphabetical characters to order them. They are\n sorted by date with the ranges of dates in each inventory in the file name\n (i.e. AA_Twitter10M_090509_130214.csv)\n \"\"\"\n df = sort_df(df)\n alphabets = string.ascii_lowercase\n a_list = list()\n for i in alphabets:\n for j in alphabets:\n a_list.append(i.upper() + j.upper())\n df_split = np.array_split(df, num)\n subpath = os.path.join(path, '2_Inventories')\n alpha_index = 0\n last_i = len(df_split) - 1\n for item in df_split:\n df_sub = pd.concat([item.head(1), item.tail(1)])\n date_bounds = pd.Series(df_sub['tweet_time'].tolist())\n date_bounds_format = date_bounds.dt.strftime('%Y%m%d').tolist()\n to_file = item[item.tweet_time.dt.strftime('%Y%m%d') != date_bounds\n [1].strftime('%Y%m%d')]\n if alpha_index == 0:\n comb_df = to_file\n elif alpha_index == last_i:\n comb_df = pd.concat([extra_rows, item], axis=0)\n else:\n comb_df = pd.concat([extra_rows, to_file], axis=0)\n prevdate = str(int(date_bounds_format[1]) - 1)\n filename = a_list[alpha_index] + '_' + path_split[1\n ] + '_' + path_split[3] + '_' + date_bounds_format[0][2:\n ] + '_' + prevdate[2:] + '.csv'\n print(filename)\n filepath = os.path.join(subpath, filename)\n comb_df.to_csv(filepath)\n extra_rows = item[item.tweet_time.dt.strftime('%Y%m%d') ==\n date_bounds[1].strftime('%Y%m%d')]\n alpha_index += 1\n\n\ndef get_lang(df, lang):\n \"\"\"Takes an input data frame and generates a data frame with only a specific language's tweets (user specified).\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Language code for language of interest\n Outputs: Pandas data frame with a subset of tweets from that specific language\n \"\"\"\n lang_df = df.loc[df['tweet_language'] == lang]\n outfile = path_split[1] + '_' + path_split[3\n ] + '_sorted_' + lang + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n lang_df.to_pickle(os.path.join(ext_path, outfile))\n return lang_df\n\n\ndef strip_formatting(df, lim, lang='allLang'):\n \"\"\"Takes an imput data frame and removes emojis, punctuation, HTML entities like &amp;, links, handles, and emojis.\n Then based on a user specified character limit, it removes the tweets that are below that limit and returns the sub-\n data frame.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Character limit for parsing after strip functionality implemented\n Language label user provides for file naming (if it is a data frame describing a particular language)\n Outputs: Pandas data frame with subset of tweets that satisfied the character limit after removind entities\n of interest\n \"\"\"\n tweets = df['tweet_text'].to_list()\n edit_tweets = list()\n include = list()\n for tweet in tweets:\n strip_tweet = strip_accounts(remove_punctuation(strip_html_entities\n (strip_links(strip_emoji(tweet)))))\n edit_tweets.append(strip_tweet)\n if is_length(strip_tweet, lim):\n include.append('1')\n else:\n include.append('0')\n df['stripped_tweet'] = edit_tweets\n df['tweet_length'] = df['tweet_text'].str.len()\n df['include_topic_model'] = include\n df['stripped_tweet_length'] = df['include_topic_model'].str.len()\n sub_df = df.loc[df['include_topic_model'] == '1']\n outfile = path_split[1] + '_' + path_split[3\n ] + '_sorted_strip_' + lang + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n sub_df.to_pickle(os.path.join(ext_path, outfile))\n return sub_df\n\n\ndef extract_content(df, label='All_Languages'):\n \"\"\"Takes an input data frame and extracts the individual Tweets and places it in chronological directories\n incremented by intervals based on a month.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Language label user provides for file naming (if it is a data frame describing a particular language)\n Outputs: Directories of binned tweets by month. Each tweet is in its own text file with the stripped tweet content\n only in the file. Each file is named accordingly like the following example:\n \"\"\"\n date_bounds = pd.Series(df['tweet_time'].tolist())\n date_bounds_ymd = date_bounds.dt.strftime('%Y%m%d').tolist()\n date_bounds_hms = date_bounds.dt.strftime('%H%M').tolist()\n content = pd.Series(df['stripped_tweet'].tolist())\n unid = pd.Series(df['unique_id_ida'].tolist())\n print('Total Files to process: ' + str(len(date_bounds_ymd)))\n parentdir = os.path.join(path, label)\n os.mkdir(parentdir)\n for i in range(0, len(date_bounds_ymd)):\n dir = date_bounds_ymd[i][:4] + '-' + date_bounds_ymd[i][4:6]\n fulldir = os.path.join(parentdir, dir)\n filename = str(unid[i]) + '_' + path_split[1] + '_' + path_split[3\n ] + '_' + date_bounds_ymd[i][2:] + '_' + date_bounds_hms[i][:4\n ] + '.txt'\n outpath = os.path.join(fulldir, filename)\n if os.path.exists(outpath):\n pass\n else:\n if os.path.isdir(fulldir):\n pass\n else:\n os.mkdir(fulldir)\n if int(i) % 10000 == 0:\n print('Files up to ' + str(i) + ' processed.')\n f = open(outpath, 'w', encoding='utf-8')\n f.write(content[i])\n f.close()\n\n\ndef generate_freq(df):\n \"\"\"Takes an input data frame and generates a histogram of number of tweets binned by month.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Input parameter called \"increment\", which determined by what time interval the tweets are organized\n Outputs: Histogram\n \"\"\"\n date_bounds = pd.Series(df['tweet_time'].tolist())\n date_bounds_ym = date_bounds.dt.strftime('%Y-%m').tolist()\n df['date_md'] = np.array(date_bounds_ym)\n sort = df.sort_values(by=['date_md'])\n frq = sort['date_md'].value_counts().to_dict()\n frq_df = sort['date_md'].value_counts()\n od = collections.OrderedDict(sorted(frq.items()))\n rf_dates = list()\n for item in list(od.keys()):\n date_rf = date_reformat(item)\n rf_dates.append(date_rf)\n data = {'Date': rf_dates, 'Freq': list(od.values())}\n graph_frame = pd.dataframe(data=data)\n frq_df.to_csv(os.path.join(path, 'tweet_freq_' + today + '.csv'))\n ax = graph_frame.plot.bar(x='Date', y='Freq', rot=45)\n plt.show()\n\n\ndef main():\n print('Start time: ' + str(datetime.now()))\n infile = 'Twitter_Russia_1906_sorted_strip_en_200929.pkl'\n inpath = os.path.join(path, '1_DataFrames')\n infilepath = os.path.join(inpath, infile)\n stripped_en = pd.read_pickle(infilepath)\n print(stripped_en.head()['unique_id_ida'])\n extract_content(stripped_en, 'English')\n print('End time: ' + str(datetime.now()))\n\n\nif __name__ == '__main__':\n main()\n", "<import token>\n<assignment token>\n\n\ndef convert_source(infile):\n \"\"\" Imports a CSV file into Python Pandas and outputs a Pandas Data Frame Object. It then saves this object to a\n pkl file for more efficient import of other processes.\n\n Inputs: *.csv file\n Outputs: *.pkl file in the input directory\n \"\"\"\n filepath = os.path.join(path, infile)\n df = pd.read_csv(filepath)\n outfile = path_split[1] + '_' + path_split[3] + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n df.to_pickle(os.path.join(ext_path, outfile))\n\n\ndef convert_comb(files):\n \"\"\"Takes a list of *.csv file inputs and creates a single data frames from each of them.\n\n Inputs: Input *.csv files to be combined into a single data frame\n Outputs: A data frame for each input and a single output combined data frame\n \"\"\"\n dfs = list()\n for file in files:\n ext_path = os.path.join(path, '1_DataFrames')\n df = pd.read_pickle(os.path.join(ext_path, file))\n dfs.append(df)\n new_df = merge_df(dfs)\n outfile = path_split[1] + '_' + path_split[3] + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n new_df.to_pickle(os.path.join(ext_path, outfile))\n return new_df\n\n\ndef sort_df(df, field='tweet_time'):\n \"\"\" Takes a Pandas data frame of Twitter data and sorts by a specified field to prep for data frame parsing steps. It\n also adds a column called \"unique_id_ida\" with formatted ID numbers for each tweet.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Field in data frame to be sorted (OPTIONAL: tweet_time, aka sort by date, is the default)\n Outputs: *.pkl file in the input directory with \"sorted\" label sorted, containing additional column \"unique_id_ida\"\n with 7-digit ID numbers beginning with 0000000 (i.e. 1234567, 0000134)\n \"\"\"\n if field == 'tweet_time':\n df['tweet_time'] = pd.to_datetime(df.tweet_time)\n df = df.sort_values(by=field)\n in_list = list()\n for i in range(0, len(df.index)):\n i = str(i)\n while len(i) != 7:\n i = '0' + i\n in_list.append(i)\n df['unique_id_ida'] = np.array(in_list)\n outfile = path_split[1] + '_' + path_split[3] + '_sorted_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n df.to_pickle(os.path.join(ext_path, outfile))\n return df\n\n\ndef split_df(df, num=30):\n \"\"\"Takes an input data frame and creates inventories for that data frame, sorted by date. First automatically calls\n the sort function to sort the data frame by the default (date).\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Number of inventories to split into. Users discresction depending on size of the data set.\n Outputs: Directory of inventories containing Tweet content and metadata. These inventories are divided in such a\n way to keep them between 130 and 160 MB, labelled with alphabetical characters to order them. They are\n sorted by date with the ranges of dates in each inventory in the file name\n (i.e. AA_Twitter10M_090509_130214.csv)\n \"\"\"\n df = sort_df(df)\n alphabets = string.ascii_lowercase\n a_list = list()\n for i in alphabets:\n for j in alphabets:\n a_list.append(i.upper() + j.upper())\n df_split = np.array_split(df, num)\n subpath = os.path.join(path, '2_Inventories')\n alpha_index = 0\n last_i = len(df_split) - 1\n for item in df_split:\n df_sub = pd.concat([item.head(1), item.tail(1)])\n date_bounds = pd.Series(df_sub['tweet_time'].tolist())\n date_bounds_format = date_bounds.dt.strftime('%Y%m%d').tolist()\n to_file = item[item.tweet_time.dt.strftime('%Y%m%d') != date_bounds\n [1].strftime('%Y%m%d')]\n if alpha_index == 0:\n comb_df = to_file\n elif alpha_index == last_i:\n comb_df = pd.concat([extra_rows, item], axis=0)\n else:\n comb_df = pd.concat([extra_rows, to_file], axis=0)\n prevdate = str(int(date_bounds_format[1]) - 1)\n filename = a_list[alpha_index] + '_' + path_split[1\n ] + '_' + path_split[3] + '_' + date_bounds_format[0][2:\n ] + '_' + prevdate[2:] + '.csv'\n print(filename)\n filepath = os.path.join(subpath, filename)\n comb_df.to_csv(filepath)\n extra_rows = item[item.tweet_time.dt.strftime('%Y%m%d') ==\n date_bounds[1].strftime('%Y%m%d')]\n alpha_index += 1\n\n\ndef get_lang(df, lang):\n \"\"\"Takes an input data frame and generates a data frame with only a specific language's tweets (user specified).\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Language code for language of interest\n Outputs: Pandas data frame with a subset of tweets from that specific language\n \"\"\"\n lang_df = df.loc[df['tweet_language'] == lang]\n outfile = path_split[1] + '_' + path_split[3\n ] + '_sorted_' + lang + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n lang_df.to_pickle(os.path.join(ext_path, outfile))\n return lang_df\n\n\ndef strip_formatting(df, lim, lang='allLang'):\n \"\"\"Takes an imput data frame and removes emojis, punctuation, HTML entities like &amp;, links, handles, and emojis.\n Then based on a user specified character limit, it removes the tweets that are below that limit and returns the sub-\n data frame.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Character limit for parsing after strip functionality implemented\n Language label user provides for file naming (if it is a data frame describing a particular language)\n Outputs: Pandas data frame with subset of tweets that satisfied the character limit after removind entities\n of interest\n \"\"\"\n tweets = df['tweet_text'].to_list()\n edit_tweets = list()\n include = list()\n for tweet in tweets:\n strip_tweet = strip_accounts(remove_punctuation(strip_html_entities\n (strip_links(strip_emoji(tweet)))))\n edit_tweets.append(strip_tweet)\n if is_length(strip_tweet, lim):\n include.append('1')\n else:\n include.append('0')\n df['stripped_tweet'] = edit_tweets\n df['tweet_length'] = df['tweet_text'].str.len()\n df['include_topic_model'] = include\n df['stripped_tweet_length'] = df['include_topic_model'].str.len()\n sub_df = df.loc[df['include_topic_model'] == '1']\n outfile = path_split[1] + '_' + path_split[3\n ] + '_sorted_strip_' + lang + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n sub_df.to_pickle(os.path.join(ext_path, outfile))\n return sub_df\n\n\ndef extract_content(df, label='All_Languages'):\n \"\"\"Takes an input data frame and extracts the individual Tweets and places it in chronological directories\n incremented by intervals based on a month.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Language label user provides for file naming (if it is a data frame describing a particular language)\n Outputs: Directories of binned tweets by month. Each tweet is in its own text file with the stripped tweet content\n only in the file. Each file is named accordingly like the following example:\n \"\"\"\n date_bounds = pd.Series(df['tweet_time'].tolist())\n date_bounds_ymd = date_bounds.dt.strftime('%Y%m%d').tolist()\n date_bounds_hms = date_bounds.dt.strftime('%H%M').tolist()\n content = pd.Series(df['stripped_tweet'].tolist())\n unid = pd.Series(df['unique_id_ida'].tolist())\n print('Total Files to process: ' + str(len(date_bounds_ymd)))\n parentdir = os.path.join(path, label)\n os.mkdir(parentdir)\n for i in range(0, len(date_bounds_ymd)):\n dir = date_bounds_ymd[i][:4] + '-' + date_bounds_ymd[i][4:6]\n fulldir = os.path.join(parentdir, dir)\n filename = str(unid[i]) + '_' + path_split[1] + '_' + path_split[3\n ] + '_' + date_bounds_ymd[i][2:] + '_' + date_bounds_hms[i][:4\n ] + '.txt'\n outpath = os.path.join(fulldir, filename)\n if os.path.exists(outpath):\n pass\n else:\n if os.path.isdir(fulldir):\n pass\n else:\n os.mkdir(fulldir)\n if int(i) % 10000 == 0:\n print('Files up to ' + str(i) + ' processed.')\n f = open(outpath, 'w', encoding='utf-8')\n f.write(content[i])\n f.close()\n\n\ndef generate_freq(df):\n \"\"\"Takes an input data frame and generates a histogram of number of tweets binned by month.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Input parameter called \"increment\", which determined by what time interval the tweets are organized\n Outputs: Histogram\n \"\"\"\n date_bounds = pd.Series(df['tweet_time'].tolist())\n date_bounds_ym = date_bounds.dt.strftime('%Y-%m').tolist()\n df['date_md'] = np.array(date_bounds_ym)\n sort = df.sort_values(by=['date_md'])\n frq = sort['date_md'].value_counts().to_dict()\n frq_df = sort['date_md'].value_counts()\n od = collections.OrderedDict(sorted(frq.items()))\n rf_dates = list()\n for item in list(od.keys()):\n date_rf = date_reformat(item)\n rf_dates.append(date_rf)\n data = {'Date': rf_dates, 'Freq': list(od.values())}\n graph_frame = pd.dataframe(data=data)\n frq_df.to_csv(os.path.join(path, 'tweet_freq_' + today + '.csv'))\n ax = graph_frame.plot.bar(x='Date', y='Freq', rot=45)\n plt.show()\n\n\ndef main():\n print('Start time: ' + str(datetime.now()))\n infile = 'Twitter_Russia_1906_sorted_strip_en_200929.pkl'\n inpath = os.path.join(path, '1_DataFrames')\n infilepath = os.path.join(inpath, infile)\n stripped_en = pd.read_pickle(infilepath)\n print(stripped_en.head()['unique_id_ida'])\n extract_content(stripped_en, 'English')\n print('End time: ' + str(datetime.now()))\n\n\nif __name__ == '__main__':\n main()\n", "<import token>\n<assignment token>\n\n\ndef convert_source(infile):\n \"\"\" Imports a CSV file into Python Pandas and outputs a Pandas Data Frame Object. It then saves this object to a\n pkl file for more efficient import of other processes.\n\n Inputs: *.csv file\n Outputs: *.pkl file in the input directory\n \"\"\"\n filepath = os.path.join(path, infile)\n df = pd.read_csv(filepath)\n outfile = path_split[1] + '_' + path_split[3] + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n df.to_pickle(os.path.join(ext_path, outfile))\n\n\ndef convert_comb(files):\n \"\"\"Takes a list of *.csv file inputs and creates a single data frames from each of them.\n\n Inputs: Input *.csv files to be combined into a single data frame\n Outputs: A data frame for each input and a single output combined data frame\n \"\"\"\n dfs = list()\n for file in files:\n ext_path = os.path.join(path, '1_DataFrames')\n df = pd.read_pickle(os.path.join(ext_path, file))\n dfs.append(df)\n new_df = merge_df(dfs)\n outfile = path_split[1] + '_' + path_split[3] + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n new_df.to_pickle(os.path.join(ext_path, outfile))\n return new_df\n\n\ndef sort_df(df, field='tweet_time'):\n \"\"\" Takes a Pandas data frame of Twitter data and sorts by a specified field to prep for data frame parsing steps. It\n also adds a column called \"unique_id_ida\" with formatted ID numbers for each tweet.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Field in data frame to be sorted (OPTIONAL: tweet_time, aka sort by date, is the default)\n Outputs: *.pkl file in the input directory with \"sorted\" label sorted, containing additional column \"unique_id_ida\"\n with 7-digit ID numbers beginning with 0000000 (i.e. 1234567, 0000134)\n \"\"\"\n if field == 'tweet_time':\n df['tweet_time'] = pd.to_datetime(df.tweet_time)\n df = df.sort_values(by=field)\n in_list = list()\n for i in range(0, len(df.index)):\n i = str(i)\n while len(i) != 7:\n i = '0' + i\n in_list.append(i)\n df['unique_id_ida'] = np.array(in_list)\n outfile = path_split[1] + '_' + path_split[3] + '_sorted_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n df.to_pickle(os.path.join(ext_path, outfile))\n return df\n\n\ndef split_df(df, num=30):\n \"\"\"Takes an input data frame and creates inventories for that data frame, sorted by date. First automatically calls\n the sort function to sort the data frame by the default (date).\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Number of inventories to split into. Users discresction depending on size of the data set.\n Outputs: Directory of inventories containing Tweet content and metadata. These inventories are divided in such a\n way to keep them between 130 and 160 MB, labelled with alphabetical characters to order them. They are\n sorted by date with the ranges of dates in each inventory in the file name\n (i.e. AA_Twitter10M_090509_130214.csv)\n \"\"\"\n df = sort_df(df)\n alphabets = string.ascii_lowercase\n a_list = list()\n for i in alphabets:\n for j in alphabets:\n a_list.append(i.upper() + j.upper())\n df_split = np.array_split(df, num)\n subpath = os.path.join(path, '2_Inventories')\n alpha_index = 0\n last_i = len(df_split) - 1\n for item in df_split:\n df_sub = pd.concat([item.head(1), item.tail(1)])\n date_bounds = pd.Series(df_sub['tweet_time'].tolist())\n date_bounds_format = date_bounds.dt.strftime('%Y%m%d').tolist()\n to_file = item[item.tweet_time.dt.strftime('%Y%m%d') != date_bounds\n [1].strftime('%Y%m%d')]\n if alpha_index == 0:\n comb_df = to_file\n elif alpha_index == last_i:\n comb_df = pd.concat([extra_rows, item], axis=0)\n else:\n comb_df = pd.concat([extra_rows, to_file], axis=0)\n prevdate = str(int(date_bounds_format[1]) - 1)\n filename = a_list[alpha_index] + '_' + path_split[1\n ] + '_' + path_split[3] + '_' + date_bounds_format[0][2:\n ] + '_' + prevdate[2:] + '.csv'\n print(filename)\n filepath = os.path.join(subpath, filename)\n comb_df.to_csv(filepath)\n extra_rows = item[item.tweet_time.dt.strftime('%Y%m%d') ==\n date_bounds[1].strftime('%Y%m%d')]\n alpha_index += 1\n\n\ndef get_lang(df, lang):\n \"\"\"Takes an input data frame and generates a data frame with only a specific language's tweets (user specified).\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Language code for language of interest\n Outputs: Pandas data frame with a subset of tweets from that specific language\n \"\"\"\n lang_df = df.loc[df['tweet_language'] == lang]\n outfile = path_split[1] + '_' + path_split[3\n ] + '_sorted_' + lang + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n lang_df.to_pickle(os.path.join(ext_path, outfile))\n return lang_df\n\n\ndef strip_formatting(df, lim, lang='allLang'):\n \"\"\"Takes an imput data frame and removes emojis, punctuation, HTML entities like &amp;, links, handles, and emojis.\n Then based on a user specified character limit, it removes the tweets that are below that limit and returns the sub-\n data frame.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Character limit for parsing after strip functionality implemented\n Language label user provides for file naming (if it is a data frame describing a particular language)\n Outputs: Pandas data frame with subset of tweets that satisfied the character limit after removind entities\n of interest\n \"\"\"\n tweets = df['tweet_text'].to_list()\n edit_tweets = list()\n include = list()\n for tweet in tweets:\n strip_tweet = strip_accounts(remove_punctuation(strip_html_entities\n (strip_links(strip_emoji(tweet)))))\n edit_tweets.append(strip_tweet)\n if is_length(strip_tweet, lim):\n include.append('1')\n else:\n include.append('0')\n df['stripped_tweet'] = edit_tweets\n df['tweet_length'] = df['tweet_text'].str.len()\n df['include_topic_model'] = include\n df['stripped_tweet_length'] = df['include_topic_model'].str.len()\n sub_df = df.loc[df['include_topic_model'] == '1']\n outfile = path_split[1] + '_' + path_split[3\n ] + '_sorted_strip_' + lang + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n sub_df.to_pickle(os.path.join(ext_path, outfile))\n return sub_df\n\n\ndef extract_content(df, label='All_Languages'):\n \"\"\"Takes an input data frame and extracts the individual Tweets and places it in chronological directories\n incremented by intervals based on a month.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Language label user provides for file naming (if it is a data frame describing a particular language)\n Outputs: Directories of binned tweets by month. Each tweet is in its own text file with the stripped tweet content\n only in the file. Each file is named accordingly like the following example:\n \"\"\"\n date_bounds = pd.Series(df['tweet_time'].tolist())\n date_bounds_ymd = date_bounds.dt.strftime('%Y%m%d').tolist()\n date_bounds_hms = date_bounds.dt.strftime('%H%M').tolist()\n content = pd.Series(df['stripped_tweet'].tolist())\n unid = pd.Series(df['unique_id_ida'].tolist())\n print('Total Files to process: ' + str(len(date_bounds_ymd)))\n parentdir = os.path.join(path, label)\n os.mkdir(parentdir)\n for i in range(0, len(date_bounds_ymd)):\n dir = date_bounds_ymd[i][:4] + '-' + date_bounds_ymd[i][4:6]\n fulldir = os.path.join(parentdir, dir)\n filename = str(unid[i]) + '_' + path_split[1] + '_' + path_split[3\n ] + '_' + date_bounds_ymd[i][2:] + '_' + date_bounds_hms[i][:4\n ] + '.txt'\n outpath = os.path.join(fulldir, filename)\n if os.path.exists(outpath):\n pass\n else:\n if os.path.isdir(fulldir):\n pass\n else:\n os.mkdir(fulldir)\n if int(i) % 10000 == 0:\n print('Files up to ' + str(i) + ' processed.')\n f = open(outpath, 'w', encoding='utf-8')\n f.write(content[i])\n f.close()\n\n\ndef generate_freq(df):\n \"\"\"Takes an input data frame and generates a histogram of number of tweets binned by month.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Input parameter called \"increment\", which determined by what time interval the tweets are organized\n Outputs: Histogram\n \"\"\"\n date_bounds = pd.Series(df['tweet_time'].tolist())\n date_bounds_ym = date_bounds.dt.strftime('%Y-%m').tolist()\n df['date_md'] = np.array(date_bounds_ym)\n sort = df.sort_values(by=['date_md'])\n frq = sort['date_md'].value_counts().to_dict()\n frq_df = sort['date_md'].value_counts()\n od = collections.OrderedDict(sorted(frq.items()))\n rf_dates = list()\n for item in list(od.keys()):\n date_rf = date_reformat(item)\n rf_dates.append(date_rf)\n data = {'Date': rf_dates, 'Freq': list(od.values())}\n graph_frame = pd.dataframe(data=data)\n frq_df.to_csv(os.path.join(path, 'tweet_freq_' + today + '.csv'))\n ax = graph_frame.plot.bar(x='Date', y='Freq', rot=45)\n plt.show()\n\n\ndef main():\n print('Start time: ' + str(datetime.now()))\n infile = 'Twitter_Russia_1906_sorted_strip_en_200929.pkl'\n inpath = os.path.join(path, '1_DataFrames')\n infilepath = os.path.join(inpath, infile)\n stripped_en = pd.read_pickle(infilepath)\n print(stripped_en.head()['unique_id_ida'])\n extract_content(stripped_en, 'English')\n print('End time: ' + str(datetime.now()))\n\n\n<code token>\n", "<import token>\n<assignment token>\n\n\ndef convert_source(infile):\n \"\"\" Imports a CSV file into Python Pandas and outputs a Pandas Data Frame Object. It then saves this object to a\n pkl file for more efficient import of other processes.\n\n Inputs: *.csv file\n Outputs: *.pkl file in the input directory\n \"\"\"\n filepath = os.path.join(path, infile)\n df = pd.read_csv(filepath)\n outfile = path_split[1] + '_' + path_split[3] + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n df.to_pickle(os.path.join(ext_path, outfile))\n\n\ndef convert_comb(files):\n \"\"\"Takes a list of *.csv file inputs and creates a single data frames from each of them.\n\n Inputs: Input *.csv files to be combined into a single data frame\n Outputs: A data frame for each input and a single output combined data frame\n \"\"\"\n dfs = list()\n for file in files:\n ext_path = os.path.join(path, '1_DataFrames')\n df = pd.read_pickle(os.path.join(ext_path, file))\n dfs.append(df)\n new_df = merge_df(dfs)\n outfile = path_split[1] + '_' + path_split[3] + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n new_df.to_pickle(os.path.join(ext_path, outfile))\n return new_df\n\n\ndef sort_df(df, field='tweet_time'):\n \"\"\" Takes a Pandas data frame of Twitter data and sorts by a specified field to prep for data frame parsing steps. It\n also adds a column called \"unique_id_ida\" with formatted ID numbers for each tweet.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Field in data frame to be sorted (OPTIONAL: tweet_time, aka sort by date, is the default)\n Outputs: *.pkl file in the input directory with \"sorted\" label sorted, containing additional column \"unique_id_ida\"\n with 7-digit ID numbers beginning with 0000000 (i.e. 1234567, 0000134)\n \"\"\"\n if field == 'tweet_time':\n df['tweet_time'] = pd.to_datetime(df.tweet_time)\n df = df.sort_values(by=field)\n in_list = list()\n for i in range(0, len(df.index)):\n i = str(i)\n while len(i) != 7:\n i = '0' + i\n in_list.append(i)\n df['unique_id_ida'] = np.array(in_list)\n outfile = path_split[1] + '_' + path_split[3] + '_sorted_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n df.to_pickle(os.path.join(ext_path, outfile))\n return df\n\n\ndef split_df(df, num=30):\n \"\"\"Takes an input data frame and creates inventories for that data frame, sorted by date. First automatically calls\n the sort function to sort the data frame by the default (date).\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Number of inventories to split into. Users discresction depending on size of the data set.\n Outputs: Directory of inventories containing Tweet content and metadata. These inventories are divided in such a\n way to keep them between 130 and 160 MB, labelled with alphabetical characters to order them. They are\n sorted by date with the ranges of dates in each inventory in the file name\n (i.e. AA_Twitter10M_090509_130214.csv)\n \"\"\"\n df = sort_df(df)\n alphabets = string.ascii_lowercase\n a_list = list()\n for i in alphabets:\n for j in alphabets:\n a_list.append(i.upper() + j.upper())\n df_split = np.array_split(df, num)\n subpath = os.path.join(path, '2_Inventories')\n alpha_index = 0\n last_i = len(df_split) - 1\n for item in df_split:\n df_sub = pd.concat([item.head(1), item.tail(1)])\n date_bounds = pd.Series(df_sub['tweet_time'].tolist())\n date_bounds_format = date_bounds.dt.strftime('%Y%m%d').tolist()\n to_file = item[item.tweet_time.dt.strftime('%Y%m%d') != date_bounds\n [1].strftime('%Y%m%d')]\n if alpha_index == 0:\n comb_df = to_file\n elif alpha_index == last_i:\n comb_df = pd.concat([extra_rows, item], axis=0)\n else:\n comb_df = pd.concat([extra_rows, to_file], axis=0)\n prevdate = str(int(date_bounds_format[1]) - 1)\n filename = a_list[alpha_index] + '_' + path_split[1\n ] + '_' + path_split[3] + '_' + date_bounds_format[0][2:\n ] + '_' + prevdate[2:] + '.csv'\n print(filename)\n filepath = os.path.join(subpath, filename)\n comb_df.to_csv(filepath)\n extra_rows = item[item.tweet_time.dt.strftime('%Y%m%d') ==\n date_bounds[1].strftime('%Y%m%d')]\n alpha_index += 1\n\n\n<function token>\n\n\ndef strip_formatting(df, lim, lang='allLang'):\n \"\"\"Takes an imput data frame and removes emojis, punctuation, HTML entities like &amp;, links, handles, and emojis.\n Then based on a user specified character limit, it removes the tweets that are below that limit and returns the sub-\n data frame.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Character limit for parsing after strip functionality implemented\n Language label user provides for file naming (if it is a data frame describing a particular language)\n Outputs: Pandas data frame with subset of tweets that satisfied the character limit after removind entities\n of interest\n \"\"\"\n tweets = df['tweet_text'].to_list()\n edit_tweets = list()\n include = list()\n for tweet in tweets:\n strip_tweet = strip_accounts(remove_punctuation(strip_html_entities\n (strip_links(strip_emoji(tweet)))))\n edit_tweets.append(strip_tweet)\n if is_length(strip_tweet, lim):\n include.append('1')\n else:\n include.append('0')\n df['stripped_tweet'] = edit_tweets\n df['tweet_length'] = df['tweet_text'].str.len()\n df['include_topic_model'] = include\n df['stripped_tweet_length'] = df['include_topic_model'].str.len()\n sub_df = df.loc[df['include_topic_model'] == '1']\n outfile = path_split[1] + '_' + path_split[3\n ] + '_sorted_strip_' + lang + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n sub_df.to_pickle(os.path.join(ext_path, outfile))\n return sub_df\n\n\ndef extract_content(df, label='All_Languages'):\n \"\"\"Takes an input data frame and extracts the individual Tweets and places it in chronological directories\n incremented by intervals based on a month.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Language label user provides for file naming (if it is a data frame describing a particular language)\n Outputs: Directories of binned tweets by month. Each tweet is in its own text file with the stripped tweet content\n only in the file. Each file is named accordingly like the following example:\n \"\"\"\n date_bounds = pd.Series(df['tweet_time'].tolist())\n date_bounds_ymd = date_bounds.dt.strftime('%Y%m%d').tolist()\n date_bounds_hms = date_bounds.dt.strftime('%H%M').tolist()\n content = pd.Series(df['stripped_tweet'].tolist())\n unid = pd.Series(df['unique_id_ida'].tolist())\n print('Total Files to process: ' + str(len(date_bounds_ymd)))\n parentdir = os.path.join(path, label)\n os.mkdir(parentdir)\n for i in range(0, len(date_bounds_ymd)):\n dir = date_bounds_ymd[i][:4] + '-' + date_bounds_ymd[i][4:6]\n fulldir = os.path.join(parentdir, dir)\n filename = str(unid[i]) + '_' + path_split[1] + '_' + path_split[3\n ] + '_' + date_bounds_ymd[i][2:] + '_' + date_bounds_hms[i][:4\n ] + '.txt'\n outpath = os.path.join(fulldir, filename)\n if os.path.exists(outpath):\n pass\n else:\n if os.path.isdir(fulldir):\n pass\n else:\n os.mkdir(fulldir)\n if int(i) % 10000 == 0:\n print('Files up to ' + str(i) + ' processed.')\n f = open(outpath, 'w', encoding='utf-8')\n f.write(content[i])\n f.close()\n\n\ndef generate_freq(df):\n \"\"\"Takes an input data frame and generates a histogram of number of tweets binned by month.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Input parameter called \"increment\", which determined by what time interval the tweets are organized\n Outputs: Histogram\n \"\"\"\n date_bounds = pd.Series(df['tweet_time'].tolist())\n date_bounds_ym = date_bounds.dt.strftime('%Y-%m').tolist()\n df['date_md'] = np.array(date_bounds_ym)\n sort = df.sort_values(by=['date_md'])\n frq = sort['date_md'].value_counts().to_dict()\n frq_df = sort['date_md'].value_counts()\n od = collections.OrderedDict(sorted(frq.items()))\n rf_dates = list()\n for item in list(od.keys()):\n date_rf = date_reformat(item)\n rf_dates.append(date_rf)\n data = {'Date': rf_dates, 'Freq': list(od.values())}\n graph_frame = pd.dataframe(data=data)\n frq_df.to_csv(os.path.join(path, 'tweet_freq_' + today + '.csv'))\n ax = graph_frame.plot.bar(x='Date', y='Freq', rot=45)\n plt.show()\n\n\ndef main():\n print('Start time: ' + str(datetime.now()))\n infile = 'Twitter_Russia_1906_sorted_strip_en_200929.pkl'\n inpath = os.path.join(path, '1_DataFrames')\n infilepath = os.path.join(inpath, infile)\n stripped_en = pd.read_pickle(infilepath)\n print(stripped_en.head()['unique_id_ida'])\n extract_content(stripped_en, 'English')\n print('End time: ' + str(datetime.now()))\n\n\n<code token>\n", "<import token>\n<assignment token>\n<function token>\n\n\ndef convert_comb(files):\n \"\"\"Takes a list of *.csv file inputs and creates a single data frames from each of them.\n\n Inputs: Input *.csv files to be combined into a single data frame\n Outputs: A data frame for each input and a single output combined data frame\n \"\"\"\n dfs = list()\n for file in files:\n ext_path = os.path.join(path, '1_DataFrames')\n df = pd.read_pickle(os.path.join(ext_path, file))\n dfs.append(df)\n new_df = merge_df(dfs)\n outfile = path_split[1] + '_' + path_split[3] + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n new_df.to_pickle(os.path.join(ext_path, outfile))\n return new_df\n\n\ndef sort_df(df, field='tweet_time'):\n \"\"\" Takes a Pandas data frame of Twitter data and sorts by a specified field to prep for data frame parsing steps. It\n also adds a column called \"unique_id_ida\" with formatted ID numbers for each tweet.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Field in data frame to be sorted (OPTIONAL: tweet_time, aka sort by date, is the default)\n Outputs: *.pkl file in the input directory with \"sorted\" label sorted, containing additional column \"unique_id_ida\"\n with 7-digit ID numbers beginning with 0000000 (i.e. 1234567, 0000134)\n \"\"\"\n if field == 'tweet_time':\n df['tweet_time'] = pd.to_datetime(df.tweet_time)\n df = df.sort_values(by=field)\n in_list = list()\n for i in range(0, len(df.index)):\n i = str(i)\n while len(i) != 7:\n i = '0' + i\n in_list.append(i)\n df['unique_id_ida'] = np.array(in_list)\n outfile = path_split[1] + '_' + path_split[3] + '_sorted_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n df.to_pickle(os.path.join(ext_path, outfile))\n return df\n\n\ndef split_df(df, num=30):\n \"\"\"Takes an input data frame and creates inventories for that data frame, sorted by date. First automatically calls\n the sort function to sort the data frame by the default (date).\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Number of inventories to split into. Users discresction depending on size of the data set.\n Outputs: Directory of inventories containing Tweet content and metadata. These inventories are divided in such a\n way to keep them between 130 and 160 MB, labelled with alphabetical characters to order them. They are\n sorted by date with the ranges of dates in each inventory in the file name\n (i.e. AA_Twitter10M_090509_130214.csv)\n \"\"\"\n df = sort_df(df)\n alphabets = string.ascii_lowercase\n a_list = list()\n for i in alphabets:\n for j in alphabets:\n a_list.append(i.upper() + j.upper())\n df_split = np.array_split(df, num)\n subpath = os.path.join(path, '2_Inventories')\n alpha_index = 0\n last_i = len(df_split) - 1\n for item in df_split:\n df_sub = pd.concat([item.head(1), item.tail(1)])\n date_bounds = pd.Series(df_sub['tweet_time'].tolist())\n date_bounds_format = date_bounds.dt.strftime('%Y%m%d').tolist()\n to_file = item[item.tweet_time.dt.strftime('%Y%m%d') != date_bounds\n [1].strftime('%Y%m%d')]\n if alpha_index == 0:\n comb_df = to_file\n elif alpha_index == last_i:\n comb_df = pd.concat([extra_rows, item], axis=0)\n else:\n comb_df = pd.concat([extra_rows, to_file], axis=0)\n prevdate = str(int(date_bounds_format[1]) - 1)\n filename = a_list[alpha_index] + '_' + path_split[1\n ] + '_' + path_split[3] + '_' + date_bounds_format[0][2:\n ] + '_' + prevdate[2:] + '.csv'\n print(filename)\n filepath = os.path.join(subpath, filename)\n comb_df.to_csv(filepath)\n extra_rows = item[item.tweet_time.dt.strftime('%Y%m%d') ==\n date_bounds[1].strftime('%Y%m%d')]\n alpha_index += 1\n\n\n<function token>\n\n\ndef strip_formatting(df, lim, lang='allLang'):\n \"\"\"Takes an imput data frame and removes emojis, punctuation, HTML entities like &amp;, links, handles, and emojis.\n Then based on a user specified character limit, it removes the tweets that are below that limit and returns the sub-\n data frame.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Character limit for parsing after strip functionality implemented\n Language label user provides for file naming (if it is a data frame describing a particular language)\n Outputs: Pandas data frame with subset of tweets that satisfied the character limit after removind entities\n of interest\n \"\"\"\n tweets = df['tweet_text'].to_list()\n edit_tweets = list()\n include = list()\n for tweet in tweets:\n strip_tweet = strip_accounts(remove_punctuation(strip_html_entities\n (strip_links(strip_emoji(tweet)))))\n edit_tweets.append(strip_tweet)\n if is_length(strip_tweet, lim):\n include.append('1')\n else:\n include.append('0')\n df['stripped_tweet'] = edit_tweets\n df['tweet_length'] = df['tweet_text'].str.len()\n df['include_topic_model'] = include\n df['stripped_tweet_length'] = df['include_topic_model'].str.len()\n sub_df = df.loc[df['include_topic_model'] == '1']\n outfile = path_split[1] + '_' + path_split[3\n ] + '_sorted_strip_' + lang + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n sub_df.to_pickle(os.path.join(ext_path, outfile))\n return sub_df\n\n\ndef extract_content(df, label='All_Languages'):\n \"\"\"Takes an input data frame and extracts the individual Tweets and places it in chronological directories\n incremented by intervals based on a month.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Language label user provides for file naming (if it is a data frame describing a particular language)\n Outputs: Directories of binned tweets by month. Each tweet is in its own text file with the stripped tweet content\n only in the file. Each file is named accordingly like the following example:\n \"\"\"\n date_bounds = pd.Series(df['tweet_time'].tolist())\n date_bounds_ymd = date_bounds.dt.strftime('%Y%m%d').tolist()\n date_bounds_hms = date_bounds.dt.strftime('%H%M').tolist()\n content = pd.Series(df['stripped_tweet'].tolist())\n unid = pd.Series(df['unique_id_ida'].tolist())\n print('Total Files to process: ' + str(len(date_bounds_ymd)))\n parentdir = os.path.join(path, label)\n os.mkdir(parentdir)\n for i in range(0, len(date_bounds_ymd)):\n dir = date_bounds_ymd[i][:4] + '-' + date_bounds_ymd[i][4:6]\n fulldir = os.path.join(parentdir, dir)\n filename = str(unid[i]) + '_' + path_split[1] + '_' + path_split[3\n ] + '_' + date_bounds_ymd[i][2:] + '_' + date_bounds_hms[i][:4\n ] + '.txt'\n outpath = os.path.join(fulldir, filename)\n if os.path.exists(outpath):\n pass\n else:\n if os.path.isdir(fulldir):\n pass\n else:\n os.mkdir(fulldir)\n if int(i) % 10000 == 0:\n print('Files up to ' + str(i) + ' processed.')\n f = open(outpath, 'w', encoding='utf-8')\n f.write(content[i])\n f.close()\n\n\ndef generate_freq(df):\n \"\"\"Takes an input data frame and generates a histogram of number of tweets binned by month.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Input parameter called \"increment\", which determined by what time interval the tweets are organized\n Outputs: Histogram\n \"\"\"\n date_bounds = pd.Series(df['tweet_time'].tolist())\n date_bounds_ym = date_bounds.dt.strftime('%Y-%m').tolist()\n df['date_md'] = np.array(date_bounds_ym)\n sort = df.sort_values(by=['date_md'])\n frq = sort['date_md'].value_counts().to_dict()\n frq_df = sort['date_md'].value_counts()\n od = collections.OrderedDict(sorted(frq.items()))\n rf_dates = list()\n for item in list(od.keys()):\n date_rf = date_reformat(item)\n rf_dates.append(date_rf)\n data = {'Date': rf_dates, 'Freq': list(od.values())}\n graph_frame = pd.dataframe(data=data)\n frq_df.to_csv(os.path.join(path, 'tweet_freq_' + today + '.csv'))\n ax = graph_frame.plot.bar(x='Date', y='Freq', rot=45)\n plt.show()\n\n\ndef main():\n print('Start time: ' + str(datetime.now()))\n infile = 'Twitter_Russia_1906_sorted_strip_en_200929.pkl'\n inpath = os.path.join(path, '1_DataFrames')\n infilepath = os.path.join(inpath, infile)\n stripped_en = pd.read_pickle(infilepath)\n print(stripped_en.head()['unique_id_ida'])\n extract_content(stripped_en, 'English')\n print('End time: ' + str(datetime.now()))\n\n\n<code token>\n", "<import token>\n<assignment token>\n<function token>\n\n\ndef convert_comb(files):\n \"\"\"Takes a list of *.csv file inputs and creates a single data frames from each of them.\n\n Inputs: Input *.csv files to be combined into a single data frame\n Outputs: A data frame for each input and a single output combined data frame\n \"\"\"\n dfs = list()\n for file in files:\n ext_path = os.path.join(path, '1_DataFrames')\n df = pd.read_pickle(os.path.join(ext_path, file))\n dfs.append(df)\n new_df = merge_df(dfs)\n outfile = path_split[1] + '_' + path_split[3] + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n new_df.to_pickle(os.path.join(ext_path, outfile))\n return new_df\n\n\ndef sort_df(df, field='tweet_time'):\n \"\"\" Takes a Pandas data frame of Twitter data and sorts by a specified field to prep for data frame parsing steps. It\n also adds a column called \"unique_id_ida\" with formatted ID numbers for each tweet.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Field in data frame to be sorted (OPTIONAL: tweet_time, aka sort by date, is the default)\n Outputs: *.pkl file in the input directory with \"sorted\" label sorted, containing additional column \"unique_id_ida\"\n with 7-digit ID numbers beginning with 0000000 (i.e. 1234567, 0000134)\n \"\"\"\n if field == 'tweet_time':\n df['tweet_time'] = pd.to_datetime(df.tweet_time)\n df = df.sort_values(by=field)\n in_list = list()\n for i in range(0, len(df.index)):\n i = str(i)\n while len(i) != 7:\n i = '0' + i\n in_list.append(i)\n df['unique_id_ida'] = np.array(in_list)\n outfile = path_split[1] + '_' + path_split[3] + '_sorted_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n df.to_pickle(os.path.join(ext_path, outfile))\n return df\n\n\ndef split_df(df, num=30):\n \"\"\"Takes an input data frame and creates inventories for that data frame, sorted by date. First automatically calls\n the sort function to sort the data frame by the default (date).\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Number of inventories to split into. Users discresction depending on size of the data set.\n Outputs: Directory of inventories containing Tweet content and metadata. These inventories are divided in such a\n way to keep them between 130 and 160 MB, labelled with alphabetical characters to order them. They are\n sorted by date with the ranges of dates in each inventory in the file name\n (i.e. AA_Twitter10M_090509_130214.csv)\n \"\"\"\n df = sort_df(df)\n alphabets = string.ascii_lowercase\n a_list = list()\n for i in alphabets:\n for j in alphabets:\n a_list.append(i.upper() + j.upper())\n df_split = np.array_split(df, num)\n subpath = os.path.join(path, '2_Inventories')\n alpha_index = 0\n last_i = len(df_split) - 1\n for item in df_split:\n df_sub = pd.concat([item.head(1), item.tail(1)])\n date_bounds = pd.Series(df_sub['tweet_time'].tolist())\n date_bounds_format = date_bounds.dt.strftime('%Y%m%d').tolist()\n to_file = item[item.tweet_time.dt.strftime('%Y%m%d') != date_bounds\n [1].strftime('%Y%m%d')]\n if alpha_index == 0:\n comb_df = to_file\n elif alpha_index == last_i:\n comb_df = pd.concat([extra_rows, item], axis=0)\n else:\n comb_df = pd.concat([extra_rows, to_file], axis=0)\n prevdate = str(int(date_bounds_format[1]) - 1)\n filename = a_list[alpha_index] + '_' + path_split[1\n ] + '_' + path_split[3] + '_' + date_bounds_format[0][2:\n ] + '_' + prevdate[2:] + '.csv'\n print(filename)\n filepath = os.path.join(subpath, filename)\n comb_df.to_csv(filepath)\n extra_rows = item[item.tweet_time.dt.strftime('%Y%m%d') ==\n date_bounds[1].strftime('%Y%m%d')]\n alpha_index += 1\n\n\n<function token>\n\n\ndef strip_formatting(df, lim, lang='allLang'):\n \"\"\"Takes an imput data frame and removes emojis, punctuation, HTML entities like &amp;, links, handles, and emojis.\n Then based on a user specified character limit, it removes the tweets that are below that limit and returns the sub-\n data frame.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Character limit for parsing after strip functionality implemented\n Language label user provides for file naming (if it is a data frame describing a particular language)\n Outputs: Pandas data frame with subset of tweets that satisfied the character limit after removind entities\n of interest\n \"\"\"\n tweets = df['tweet_text'].to_list()\n edit_tweets = list()\n include = list()\n for tweet in tweets:\n strip_tweet = strip_accounts(remove_punctuation(strip_html_entities\n (strip_links(strip_emoji(tweet)))))\n edit_tweets.append(strip_tweet)\n if is_length(strip_tweet, lim):\n include.append('1')\n else:\n include.append('0')\n df['stripped_tweet'] = edit_tweets\n df['tweet_length'] = df['tweet_text'].str.len()\n df['include_topic_model'] = include\n df['stripped_tweet_length'] = df['include_topic_model'].str.len()\n sub_df = df.loc[df['include_topic_model'] == '1']\n outfile = path_split[1] + '_' + path_split[3\n ] + '_sorted_strip_' + lang + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n sub_df.to_pickle(os.path.join(ext_path, outfile))\n return sub_df\n\n\ndef extract_content(df, label='All_Languages'):\n \"\"\"Takes an input data frame and extracts the individual Tweets and places it in chronological directories\n incremented by intervals based on a month.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Language label user provides for file naming (if it is a data frame describing a particular language)\n Outputs: Directories of binned tweets by month. Each tweet is in its own text file with the stripped tweet content\n only in the file. Each file is named accordingly like the following example:\n \"\"\"\n date_bounds = pd.Series(df['tweet_time'].tolist())\n date_bounds_ymd = date_bounds.dt.strftime('%Y%m%d').tolist()\n date_bounds_hms = date_bounds.dt.strftime('%H%M').tolist()\n content = pd.Series(df['stripped_tweet'].tolist())\n unid = pd.Series(df['unique_id_ida'].tolist())\n print('Total Files to process: ' + str(len(date_bounds_ymd)))\n parentdir = os.path.join(path, label)\n os.mkdir(parentdir)\n for i in range(0, len(date_bounds_ymd)):\n dir = date_bounds_ymd[i][:4] + '-' + date_bounds_ymd[i][4:6]\n fulldir = os.path.join(parentdir, dir)\n filename = str(unid[i]) + '_' + path_split[1] + '_' + path_split[3\n ] + '_' + date_bounds_ymd[i][2:] + '_' + date_bounds_hms[i][:4\n ] + '.txt'\n outpath = os.path.join(fulldir, filename)\n if os.path.exists(outpath):\n pass\n else:\n if os.path.isdir(fulldir):\n pass\n else:\n os.mkdir(fulldir)\n if int(i) % 10000 == 0:\n print('Files up to ' + str(i) + ' processed.')\n f = open(outpath, 'w', encoding='utf-8')\n f.write(content[i])\n f.close()\n\n\ndef generate_freq(df):\n \"\"\"Takes an input data frame and generates a histogram of number of tweets binned by month.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Input parameter called \"increment\", which determined by what time interval the tweets are organized\n Outputs: Histogram\n \"\"\"\n date_bounds = pd.Series(df['tweet_time'].tolist())\n date_bounds_ym = date_bounds.dt.strftime('%Y-%m').tolist()\n df['date_md'] = np.array(date_bounds_ym)\n sort = df.sort_values(by=['date_md'])\n frq = sort['date_md'].value_counts().to_dict()\n frq_df = sort['date_md'].value_counts()\n od = collections.OrderedDict(sorted(frq.items()))\n rf_dates = list()\n for item in list(od.keys()):\n date_rf = date_reformat(item)\n rf_dates.append(date_rf)\n data = {'Date': rf_dates, 'Freq': list(od.values())}\n graph_frame = pd.dataframe(data=data)\n frq_df.to_csv(os.path.join(path, 'tweet_freq_' + today + '.csv'))\n ax = graph_frame.plot.bar(x='Date', y='Freq', rot=45)\n plt.show()\n\n\n<function token>\n<code token>\n", "<import token>\n<assignment token>\n<function token>\n\n\ndef convert_comb(files):\n \"\"\"Takes a list of *.csv file inputs and creates a single data frames from each of them.\n\n Inputs: Input *.csv files to be combined into a single data frame\n Outputs: A data frame for each input and a single output combined data frame\n \"\"\"\n dfs = list()\n for file in files:\n ext_path = os.path.join(path, '1_DataFrames')\n df = pd.read_pickle(os.path.join(ext_path, file))\n dfs.append(df)\n new_df = merge_df(dfs)\n outfile = path_split[1] + '_' + path_split[3] + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n new_df.to_pickle(os.path.join(ext_path, outfile))\n return new_df\n\n\ndef sort_df(df, field='tweet_time'):\n \"\"\" Takes a Pandas data frame of Twitter data and sorts by a specified field to prep for data frame parsing steps. It\n also adds a column called \"unique_id_ida\" with formatted ID numbers for each tweet.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Field in data frame to be sorted (OPTIONAL: tweet_time, aka sort by date, is the default)\n Outputs: *.pkl file in the input directory with \"sorted\" label sorted, containing additional column \"unique_id_ida\"\n with 7-digit ID numbers beginning with 0000000 (i.e. 1234567, 0000134)\n \"\"\"\n if field == 'tweet_time':\n df['tweet_time'] = pd.to_datetime(df.tweet_time)\n df = df.sort_values(by=field)\n in_list = list()\n for i in range(0, len(df.index)):\n i = str(i)\n while len(i) != 7:\n i = '0' + i\n in_list.append(i)\n df['unique_id_ida'] = np.array(in_list)\n outfile = path_split[1] + '_' + path_split[3] + '_sorted_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n df.to_pickle(os.path.join(ext_path, outfile))\n return df\n\n\ndef split_df(df, num=30):\n \"\"\"Takes an input data frame and creates inventories for that data frame, sorted by date. First automatically calls\n the sort function to sort the data frame by the default (date).\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Number of inventories to split into. Users discresction depending on size of the data set.\n Outputs: Directory of inventories containing Tweet content and metadata. These inventories are divided in such a\n way to keep them between 130 and 160 MB, labelled with alphabetical characters to order them. They are\n sorted by date with the ranges of dates in each inventory in the file name\n (i.e. AA_Twitter10M_090509_130214.csv)\n \"\"\"\n df = sort_df(df)\n alphabets = string.ascii_lowercase\n a_list = list()\n for i in alphabets:\n for j in alphabets:\n a_list.append(i.upper() + j.upper())\n df_split = np.array_split(df, num)\n subpath = os.path.join(path, '2_Inventories')\n alpha_index = 0\n last_i = len(df_split) - 1\n for item in df_split:\n df_sub = pd.concat([item.head(1), item.tail(1)])\n date_bounds = pd.Series(df_sub['tweet_time'].tolist())\n date_bounds_format = date_bounds.dt.strftime('%Y%m%d').tolist()\n to_file = item[item.tweet_time.dt.strftime('%Y%m%d') != date_bounds\n [1].strftime('%Y%m%d')]\n if alpha_index == 0:\n comb_df = to_file\n elif alpha_index == last_i:\n comb_df = pd.concat([extra_rows, item], axis=0)\n else:\n comb_df = pd.concat([extra_rows, to_file], axis=0)\n prevdate = str(int(date_bounds_format[1]) - 1)\n filename = a_list[alpha_index] + '_' + path_split[1\n ] + '_' + path_split[3] + '_' + date_bounds_format[0][2:\n ] + '_' + prevdate[2:] + '.csv'\n print(filename)\n filepath = os.path.join(subpath, filename)\n comb_df.to_csv(filepath)\n extra_rows = item[item.tweet_time.dt.strftime('%Y%m%d') ==\n date_bounds[1].strftime('%Y%m%d')]\n alpha_index += 1\n\n\n<function token>\n\n\ndef strip_formatting(df, lim, lang='allLang'):\n \"\"\"Takes an imput data frame and removes emojis, punctuation, HTML entities like &amp;, links, handles, and emojis.\n Then based on a user specified character limit, it removes the tweets that are below that limit and returns the sub-\n data frame.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Character limit for parsing after strip functionality implemented\n Language label user provides for file naming (if it is a data frame describing a particular language)\n Outputs: Pandas data frame with subset of tweets that satisfied the character limit after removind entities\n of interest\n \"\"\"\n tweets = df['tweet_text'].to_list()\n edit_tweets = list()\n include = list()\n for tweet in tweets:\n strip_tweet = strip_accounts(remove_punctuation(strip_html_entities\n (strip_links(strip_emoji(tweet)))))\n edit_tweets.append(strip_tweet)\n if is_length(strip_tweet, lim):\n include.append('1')\n else:\n include.append('0')\n df['stripped_tweet'] = edit_tweets\n df['tweet_length'] = df['tweet_text'].str.len()\n df['include_topic_model'] = include\n df['stripped_tweet_length'] = df['include_topic_model'].str.len()\n sub_df = df.loc[df['include_topic_model'] == '1']\n outfile = path_split[1] + '_' + path_split[3\n ] + '_sorted_strip_' + lang + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n sub_df.to_pickle(os.path.join(ext_path, outfile))\n return sub_df\n\n\n<function token>\n\n\ndef generate_freq(df):\n \"\"\"Takes an input data frame and generates a histogram of number of tweets binned by month.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Input parameter called \"increment\", which determined by what time interval the tweets are organized\n Outputs: Histogram\n \"\"\"\n date_bounds = pd.Series(df['tweet_time'].tolist())\n date_bounds_ym = date_bounds.dt.strftime('%Y-%m').tolist()\n df['date_md'] = np.array(date_bounds_ym)\n sort = df.sort_values(by=['date_md'])\n frq = sort['date_md'].value_counts().to_dict()\n frq_df = sort['date_md'].value_counts()\n od = collections.OrderedDict(sorted(frq.items()))\n rf_dates = list()\n for item in list(od.keys()):\n date_rf = date_reformat(item)\n rf_dates.append(date_rf)\n data = {'Date': rf_dates, 'Freq': list(od.values())}\n graph_frame = pd.dataframe(data=data)\n frq_df.to_csv(os.path.join(path, 'tweet_freq_' + today + '.csv'))\n ax = graph_frame.plot.bar(x='Date', y='Freq', rot=45)\n plt.show()\n\n\n<function token>\n<code token>\n", "<import token>\n<assignment token>\n<function token>\n<function token>\n\n\ndef sort_df(df, field='tweet_time'):\n \"\"\" Takes a Pandas data frame of Twitter data and sorts by a specified field to prep for data frame parsing steps. It\n also adds a column called \"unique_id_ida\" with formatted ID numbers for each tweet.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Field in data frame to be sorted (OPTIONAL: tweet_time, aka sort by date, is the default)\n Outputs: *.pkl file in the input directory with \"sorted\" label sorted, containing additional column \"unique_id_ida\"\n with 7-digit ID numbers beginning with 0000000 (i.e. 1234567, 0000134)\n \"\"\"\n if field == 'tweet_time':\n df['tweet_time'] = pd.to_datetime(df.tweet_time)\n df = df.sort_values(by=field)\n in_list = list()\n for i in range(0, len(df.index)):\n i = str(i)\n while len(i) != 7:\n i = '0' + i\n in_list.append(i)\n df['unique_id_ida'] = np.array(in_list)\n outfile = path_split[1] + '_' + path_split[3] + '_sorted_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n df.to_pickle(os.path.join(ext_path, outfile))\n return df\n\n\ndef split_df(df, num=30):\n \"\"\"Takes an input data frame and creates inventories for that data frame, sorted by date. First automatically calls\n the sort function to sort the data frame by the default (date).\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Number of inventories to split into. Users discresction depending on size of the data set.\n Outputs: Directory of inventories containing Tweet content and metadata. These inventories are divided in such a\n way to keep them between 130 and 160 MB, labelled with alphabetical characters to order them. They are\n sorted by date with the ranges of dates in each inventory in the file name\n (i.e. AA_Twitter10M_090509_130214.csv)\n \"\"\"\n df = sort_df(df)\n alphabets = string.ascii_lowercase\n a_list = list()\n for i in alphabets:\n for j in alphabets:\n a_list.append(i.upper() + j.upper())\n df_split = np.array_split(df, num)\n subpath = os.path.join(path, '2_Inventories')\n alpha_index = 0\n last_i = len(df_split) - 1\n for item in df_split:\n df_sub = pd.concat([item.head(1), item.tail(1)])\n date_bounds = pd.Series(df_sub['tweet_time'].tolist())\n date_bounds_format = date_bounds.dt.strftime('%Y%m%d').tolist()\n to_file = item[item.tweet_time.dt.strftime('%Y%m%d') != date_bounds\n [1].strftime('%Y%m%d')]\n if alpha_index == 0:\n comb_df = to_file\n elif alpha_index == last_i:\n comb_df = pd.concat([extra_rows, item], axis=0)\n else:\n comb_df = pd.concat([extra_rows, to_file], axis=0)\n prevdate = str(int(date_bounds_format[1]) - 1)\n filename = a_list[alpha_index] + '_' + path_split[1\n ] + '_' + path_split[3] + '_' + date_bounds_format[0][2:\n ] + '_' + prevdate[2:] + '.csv'\n print(filename)\n filepath = os.path.join(subpath, filename)\n comb_df.to_csv(filepath)\n extra_rows = item[item.tweet_time.dt.strftime('%Y%m%d') ==\n date_bounds[1].strftime('%Y%m%d')]\n alpha_index += 1\n\n\n<function token>\n\n\ndef strip_formatting(df, lim, lang='allLang'):\n \"\"\"Takes an imput data frame and removes emojis, punctuation, HTML entities like &amp;, links, handles, and emojis.\n Then based on a user specified character limit, it removes the tweets that are below that limit and returns the sub-\n data frame.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Character limit for parsing after strip functionality implemented\n Language label user provides for file naming (if it is a data frame describing a particular language)\n Outputs: Pandas data frame with subset of tweets that satisfied the character limit after removind entities\n of interest\n \"\"\"\n tweets = df['tweet_text'].to_list()\n edit_tweets = list()\n include = list()\n for tweet in tweets:\n strip_tweet = strip_accounts(remove_punctuation(strip_html_entities\n (strip_links(strip_emoji(tweet)))))\n edit_tweets.append(strip_tweet)\n if is_length(strip_tweet, lim):\n include.append('1')\n else:\n include.append('0')\n df['stripped_tweet'] = edit_tweets\n df['tweet_length'] = df['tweet_text'].str.len()\n df['include_topic_model'] = include\n df['stripped_tweet_length'] = df['include_topic_model'].str.len()\n sub_df = df.loc[df['include_topic_model'] == '1']\n outfile = path_split[1] + '_' + path_split[3\n ] + '_sorted_strip_' + lang + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n sub_df.to_pickle(os.path.join(ext_path, outfile))\n return sub_df\n\n\n<function token>\n\n\ndef generate_freq(df):\n \"\"\"Takes an input data frame and generates a histogram of number of tweets binned by month.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Input parameter called \"increment\", which determined by what time interval the tweets are organized\n Outputs: Histogram\n \"\"\"\n date_bounds = pd.Series(df['tweet_time'].tolist())\n date_bounds_ym = date_bounds.dt.strftime('%Y-%m').tolist()\n df['date_md'] = np.array(date_bounds_ym)\n sort = df.sort_values(by=['date_md'])\n frq = sort['date_md'].value_counts().to_dict()\n frq_df = sort['date_md'].value_counts()\n od = collections.OrderedDict(sorted(frq.items()))\n rf_dates = list()\n for item in list(od.keys()):\n date_rf = date_reformat(item)\n rf_dates.append(date_rf)\n data = {'Date': rf_dates, 'Freq': list(od.values())}\n graph_frame = pd.dataframe(data=data)\n frq_df.to_csv(os.path.join(path, 'tweet_freq_' + today + '.csv'))\n ax = graph_frame.plot.bar(x='Date', y='Freq', rot=45)\n plt.show()\n\n\n<function token>\n<code token>\n", "<import token>\n<assignment token>\n<function token>\n<function token>\n\n\ndef sort_df(df, field='tweet_time'):\n \"\"\" Takes a Pandas data frame of Twitter data and sorts by a specified field to prep for data frame parsing steps. It\n also adds a column called \"unique_id_ida\" with formatted ID numbers for each tweet.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Field in data frame to be sorted (OPTIONAL: tweet_time, aka sort by date, is the default)\n Outputs: *.pkl file in the input directory with \"sorted\" label sorted, containing additional column \"unique_id_ida\"\n with 7-digit ID numbers beginning with 0000000 (i.e. 1234567, 0000134)\n \"\"\"\n if field == 'tweet_time':\n df['tweet_time'] = pd.to_datetime(df.tweet_time)\n df = df.sort_values(by=field)\n in_list = list()\n for i in range(0, len(df.index)):\n i = str(i)\n while len(i) != 7:\n i = '0' + i\n in_list.append(i)\n df['unique_id_ida'] = np.array(in_list)\n outfile = path_split[1] + '_' + path_split[3] + '_sorted_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n df.to_pickle(os.path.join(ext_path, outfile))\n return df\n\n\n<function token>\n<function token>\n\n\ndef strip_formatting(df, lim, lang='allLang'):\n \"\"\"Takes an imput data frame and removes emojis, punctuation, HTML entities like &amp;, links, handles, and emojis.\n Then based on a user specified character limit, it removes the tweets that are below that limit and returns the sub-\n data frame.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Character limit for parsing after strip functionality implemented\n Language label user provides for file naming (if it is a data frame describing a particular language)\n Outputs: Pandas data frame with subset of tweets that satisfied the character limit after removind entities\n of interest\n \"\"\"\n tweets = df['tweet_text'].to_list()\n edit_tweets = list()\n include = list()\n for tweet in tweets:\n strip_tweet = strip_accounts(remove_punctuation(strip_html_entities\n (strip_links(strip_emoji(tweet)))))\n edit_tweets.append(strip_tweet)\n if is_length(strip_tweet, lim):\n include.append('1')\n else:\n include.append('0')\n df['stripped_tweet'] = edit_tweets\n df['tweet_length'] = df['tweet_text'].str.len()\n df['include_topic_model'] = include\n df['stripped_tweet_length'] = df['include_topic_model'].str.len()\n sub_df = df.loc[df['include_topic_model'] == '1']\n outfile = path_split[1] + '_' + path_split[3\n ] + '_sorted_strip_' + lang + '_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n sub_df.to_pickle(os.path.join(ext_path, outfile))\n return sub_df\n\n\n<function token>\n\n\ndef generate_freq(df):\n \"\"\"Takes an input data frame and generates a histogram of number of tweets binned by month.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Input parameter called \"increment\", which determined by what time interval the tweets are organized\n Outputs: Histogram\n \"\"\"\n date_bounds = pd.Series(df['tweet_time'].tolist())\n date_bounds_ym = date_bounds.dt.strftime('%Y-%m').tolist()\n df['date_md'] = np.array(date_bounds_ym)\n sort = df.sort_values(by=['date_md'])\n frq = sort['date_md'].value_counts().to_dict()\n frq_df = sort['date_md'].value_counts()\n od = collections.OrderedDict(sorted(frq.items()))\n rf_dates = list()\n for item in list(od.keys()):\n date_rf = date_reformat(item)\n rf_dates.append(date_rf)\n data = {'Date': rf_dates, 'Freq': list(od.values())}\n graph_frame = pd.dataframe(data=data)\n frq_df.to_csv(os.path.join(path, 'tweet_freq_' + today + '.csv'))\n ax = graph_frame.plot.bar(x='Date', y='Freq', rot=45)\n plt.show()\n\n\n<function token>\n<code token>\n", "<import token>\n<assignment token>\n<function token>\n<function token>\n\n\ndef sort_df(df, field='tweet_time'):\n \"\"\" Takes a Pandas data frame of Twitter data and sorts by a specified field to prep for data frame parsing steps. It\n also adds a column called \"unique_id_ida\" with formatted ID numbers for each tweet.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Field in data frame to be sorted (OPTIONAL: tweet_time, aka sort by date, is the default)\n Outputs: *.pkl file in the input directory with \"sorted\" label sorted, containing additional column \"unique_id_ida\"\n with 7-digit ID numbers beginning with 0000000 (i.e. 1234567, 0000134)\n \"\"\"\n if field == 'tweet_time':\n df['tweet_time'] = pd.to_datetime(df.tweet_time)\n df = df.sort_values(by=field)\n in_list = list()\n for i in range(0, len(df.index)):\n i = str(i)\n while len(i) != 7:\n i = '0' + i\n in_list.append(i)\n df['unique_id_ida'] = np.array(in_list)\n outfile = path_split[1] + '_' + path_split[3] + '_sorted_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n df.to_pickle(os.path.join(ext_path, outfile))\n return df\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef generate_freq(df):\n \"\"\"Takes an input data frame and generates a histogram of number of tweets binned by month.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Input parameter called \"increment\", which determined by what time interval the tweets are organized\n Outputs: Histogram\n \"\"\"\n date_bounds = pd.Series(df['tweet_time'].tolist())\n date_bounds_ym = date_bounds.dt.strftime('%Y-%m').tolist()\n df['date_md'] = np.array(date_bounds_ym)\n sort = df.sort_values(by=['date_md'])\n frq = sort['date_md'].value_counts().to_dict()\n frq_df = sort['date_md'].value_counts()\n od = collections.OrderedDict(sorted(frq.items()))\n rf_dates = list()\n for item in list(od.keys()):\n date_rf = date_reformat(item)\n rf_dates.append(date_rf)\n data = {'Date': rf_dates, 'Freq': list(od.values())}\n graph_frame = pd.dataframe(data=data)\n frq_df.to_csv(os.path.join(path, 'tweet_freq_' + today + '.csv'))\n ax = graph_frame.plot.bar(x='Date', y='Freq', rot=45)\n plt.show()\n\n\n<function token>\n<code token>\n", "<import token>\n<assignment token>\n<function token>\n<function token>\n\n\ndef sort_df(df, field='tweet_time'):\n \"\"\" Takes a Pandas data frame of Twitter data and sorts by a specified field to prep for data frame parsing steps. It\n also adds a column called \"unique_id_ida\" with formatted ID numbers for each tweet.\n\n Inputs: Pandas data frame imported from *.csv or *.pkl file\n Field in data frame to be sorted (OPTIONAL: tweet_time, aka sort by date, is the default)\n Outputs: *.pkl file in the input directory with \"sorted\" label sorted, containing additional column \"unique_id_ida\"\n with 7-digit ID numbers beginning with 0000000 (i.e. 1234567, 0000134)\n \"\"\"\n if field == 'tweet_time':\n df['tweet_time'] = pd.to_datetime(df.tweet_time)\n df = df.sort_values(by=field)\n in_list = list()\n for i in range(0, len(df.index)):\n i = str(i)\n while len(i) != 7:\n i = '0' + i\n in_list.append(i)\n df['unique_id_ida'] = np.array(in_list)\n outfile = path_split[1] + '_' + path_split[3] + '_sorted_' + today + '.pkl'\n ext_path = os.path.join(path, '1_DataFrames')\n df.to_pickle(os.path.join(ext_path, outfile))\n return df\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<code token>\n", "<import token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<code token>\n" ]
false
98,624
8aae72d0986bf6d18395f8d5937a0e1f6b36fda6
from functools import reduce import sys sys.path.append('../Day5') from ipu import IPU sys.path.append('../Day15') from visualizer import Visualizer def isIntersection(grid, pos): def positionIsIntersection(x,y): return (x,y) in grid and grid[(x,y)] == '#' return positionIsIntersection(pos[0] + 0, pos[1] - 1) and positionIsIntersection(pos[0] - 1, pos[1] + 0) and positionIsIntersection(pos[0] + 1, pos[1] + 0) and positionIsIntersection(pos[0] + 0, pos[1] + 1) def getInitalGrid(memory): ipu = IPU(list(initalMemory)) grid = {} x = y = 0 robotPos = None line = '' while not ipu.hasHalted: output,_ = ipu.runUntilOutput() c = chr(output) if c == '\n': y += 1 x = 0 print(line) line = '' else: if c == '^': robotPos = (x,y) line += c grid[(x,y)] = c x += 1 print(line) return grid, robotPos def a(grid): intersections = [p for p in grid.keys() if grid[p] == '#' and isIntersection(grid, p)] alignmentParameters = list(map(lambda pos: pos[0] * pos[1], intersections)) return sum(alignmentParameters) def b(memory, visualizer): # Manual solve ftw # PATH: L10 R10 L10 L10 R10 R12 L12 L10 R10 L10 L10 R10 R12 L12 R12 L12 R6 R12 L12 R6 R10 R12 L12 R10 L10 L10 R10 R12 L12 R12 L12 R6 # ORDER: A B A B C C B A B C # RULES: # A: L10 R10 L10 L10 # B: R10 R12 L12 # C: R12 L12 R6 ipu = IPU(memory) ipu.memory[0] = 2 def addAsAsciiInput(ascii): for c in ascii: ipu.input.appendleft(ord(c)) ipu.input.appendleft(10) addAsAsciiInput('A,B,A,B,C,C,B,A,B,C') addAsAsciiInput('L,10,R,10,L,10,L,10') addAsAsciiInput('R,10,R,12,L,12') addAsAsciiInput('R,12,L,12,R,6') addAsAsciiInput('y') x = y = 0 while not ipu.hasHalted: output,_ = ipu.runUntilOutput() if(output < 255): c = chr(output) if c == '\n': y += 1 if x == 0: y = 0 visualizer.update() visualizer.processEvents() x = 0 elif c in ['.', '#', '^', 'v', '<', '>']: visualizer.updateGridPos(x, y, output, False) x += 1 else: return output return -1 initalMemory = [int(x) for x in open('input.txt').readline().split(',')] grid, playerPos = getInitalGrid(initalMemory) print('A: %i' % a(grid)) visualizer = Visualizer((800,800), { ord('#'): (200,200,200), ord('^'): (0,0,255), ord('>'): (0,0,255), ord('v'): (0,0,255), ord('<'): (0,0,255) }) print('B: %i' % b(initalMemory, visualizer)) visualizer.waitTillEnd()
[ "from functools import reduce\nimport sys\nsys.path.append('../Day5')\nfrom ipu import IPU\n\nsys.path.append('../Day15')\nfrom visualizer import Visualizer\n\ndef isIntersection(grid, pos):\n def positionIsIntersection(x,y):\n return (x,y) in grid and grid[(x,y)] == '#'\n\n return positionIsIntersection(pos[0] + 0, pos[1] - 1) and positionIsIntersection(pos[0] - 1, pos[1] + 0) and positionIsIntersection(pos[0] + 1, pos[1] + 0) and positionIsIntersection(pos[0] + 0, pos[1] + 1)\n\ndef getInitalGrid(memory):\n ipu = IPU(list(initalMemory))\n\n grid = {}\n x = y = 0\n robotPos = None\n line = ''\n while not ipu.hasHalted:\n output,_ = ipu.runUntilOutput()\n c = chr(output)\n\n if c == '\\n':\n y += 1\n x = 0\n\n print(line)\n line = ''\n else:\n if c == '^':\n robotPos = (x,y)\n\n line += c\n grid[(x,y)] = c\n x += 1\n\n print(line)\n return grid, robotPos\n\ndef a(grid):\n intersections = [p for p in grid.keys() if grid[p] == '#' and isIntersection(grid, p)]\n alignmentParameters = list(map(lambda pos: pos[0] * pos[1], intersections))\n return sum(alignmentParameters)\n\ndef b(memory, visualizer):\n # Manual solve ftw\n # PATH: L10 R10 L10 L10 R10 R12 L12 L10 R10 L10 L10 R10 R12 L12 R12 L12 R6 R12 L12 R6 R10 R12 L12 R10 L10 L10 R10 R12 L12 R12 L12 R6\n # ORDER: A B A B C C B A B C\n # RULES:\n # A: L10 R10 L10 L10\n # B: R10 R12 L12\n # C: R12 L12 R6\n \n ipu = IPU(memory)\n ipu.memory[0] = 2\n\n def addAsAsciiInput(ascii):\n for c in ascii:\n ipu.input.appendleft(ord(c))\n\n ipu.input.appendleft(10)\n\n addAsAsciiInput('A,B,A,B,C,C,B,A,B,C')\n addAsAsciiInput('L,10,R,10,L,10,L,10')\n addAsAsciiInput('R,10,R,12,L,12')\n addAsAsciiInput('R,12,L,12,R,6')\n\n addAsAsciiInput('y')\n\n x = y = 0\n while not ipu.hasHalted:\n output,_ = ipu.runUntilOutput()\n\n if(output < 255):\n c = chr(output)\n \n if c == '\\n':\n y += 1\n\n if x == 0:\n y = 0\n visualizer.update()\n visualizer.processEvents()\n\n x = 0\n elif c in ['.', '#', '^', 'v', '<', '>']:\n visualizer.updateGridPos(x, y, output, False)\n x += 1\n \n else: \n return output\n\n return -1\n\n\n\ninitalMemory = [int(x) for x in open('input.txt').readline().split(',')]\ngrid, playerPos = getInitalGrid(initalMemory)\n\nprint('A: %i' % a(grid))\n\nvisualizer = Visualizer((800,800), {\n ord('#'): (200,200,200),\n ord('^'): (0,0,255),\n ord('>'): (0,0,255),\n ord('v'): (0,0,255),\n ord('<'): (0,0,255)\n })\n\nprint('B: %i' % b(initalMemory, visualizer))\n\nvisualizer.waitTillEnd()", "from functools import reduce\nimport sys\nsys.path.append('../Day5')\nfrom ipu import IPU\nsys.path.append('../Day15')\nfrom visualizer import Visualizer\n\n\ndef isIntersection(grid, pos):\n\n def positionIsIntersection(x, y):\n return (x, y) in grid and grid[x, y] == '#'\n return positionIsIntersection(pos[0] + 0, pos[1] - 1\n ) and positionIsIntersection(pos[0] - 1, pos[1] + 0\n ) and positionIsIntersection(pos[0] + 1, pos[1] + 0\n ) and positionIsIntersection(pos[0] + 0, pos[1] + 1)\n\n\ndef getInitalGrid(memory):\n ipu = IPU(list(initalMemory))\n grid = {}\n x = y = 0\n robotPos = None\n line = ''\n while not ipu.hasHalted:\n output, _ = ipu.runUntilOutput()\n c = chr(output)\n if c == '\\n':\n y += 1\n x = 0\n print(line)\n line = ''\n else:\n if c == '^':\n robotPos = x, y\n line += c\n grid[x, y] = c\n x += 1\n print(line)\n return grid, robotPos\n\n\ndef a(grid):\n intersections = [p for p in grid.keys() if grid[p] == '#' and\n isIntersection(grid, p)]\n alignmentParameters = list(map(lambda pos: pos[0] * pos[1], intersections))\n return sum(alignmentParameters)\n\n\ndef b(memory, visualizer):\n ipu = IPU(memory)\n ipu.memory[0] = 2\n\n def addAsAsciiInput(ascii):\n for c in ascii:\n ipu.input.appendleft(ord(c))\n ipu.input.appendleft(10)\n addAsAsciiInput('A,B,A,B,C,C,B,A,B,C')\n addAsAsciiInput('L,10,R,10,L,10,L,10')\n addAsAsciiInput('R,10,R,12,L,12')\n addAsAsciiInput('R,12,L,12,R,6')\n addAsAsciiInput('y')\n x = y = 0\n while not ipu.hasHalted:\n output, _ = ipu.runUntilOutput()\n if output < 255:\n c = chr(output)\n if c == '\\n':\n y += 1\n if x == 0:\n y = 0\n visualizer.update()\n visualizer.processEvents()\n x = 0\n elif c in ['.', '#', '^', 'v', '<', '>']:\n visualizer.updateGridPos(x, y, output, False)\n x += 1\n else:\n return output\n return -1\n\n\ninitalMemory = [int(x) for x in open('input.txt').readline().split(',')]\ngrid, playerPos = getInitalGrid(initalMemory)\nprint('A: %i' % a(grid))\nvisualizer = Visualizer((800, 800), {ord('#'): (200, 200, 200), ord('^'): (\n 0, 0, 255), ord('>'): (0, 0, 255), ord('v'): (0, 0, 255), ord('<'): (0,\n 0, 255)})\nprint('B: %i' % b(initalMemory, visualizer))\nvisualizer.waitTillEnd()\n", "<import token>\nsys.path.append('../Day5')\n<import token>\nsys.path.append('../Day15')\n<import token>\n\n\ndef isIntersection(grid, pos):\n\n def positionIsIntersection(x, y):\n return (x, y) in grid and grid[x, y] == '#'\n return positionIsIntersection(pos[0] + 0, pos[1] - 1\n ) and positionIsIntersection(pos[0] - 1, pos[1] + 0\n ) and positionIsIntersection(pos[0] + 1, pos[1] + 0\n ) and positionIsIntersection(pos[0] + 0, pos[1] + 1)\n\n\ndef getInitalGrid(memory):\n ipu = IPU(list(initalMemory))\n grid = {}\n x = y = 0\n robotPos = None\n line = ''\n while not ipu.hasHalted:\n output, _ = ipu.runUntilOutput()\n c = chr(output)\n if c == '\\n':\n y += 1\n x = 0\n print(line)\n line = ''\n else:\n if c == '^':\n robotPos = x, y\n line += c\n grid[x, y] = c\n x += 1\n print(line)\n return grid, robotPos\n\n\ndef a(grid):\n intersections = [p for p in grid.keys() if grid[p] == '#' and\n isIntersection(grid, p)]\n alignmentParameters = list(map(lambda pos: pos[0] * pos[1], intersections))\n return sum(alignmentParameters)\n\n\ndef b(memory, visualizer):\n ipu = IPU(memory)\n ipu.memory[0] = 2\n\n def addAsAsciiInput(ascii):\n for c in ascii:\n ipu.input.appendleft(ord(c))\n ipu.input.appendleft(10)\n addAsAsciiInput('A,B,A,B,C,C,B,A,B,C')\n addAsAsciiInput('L,10,R,10,L,10,L,10')\n addAsAsciiInput('R,10,R,12,L,12')\n addAsAsciiInput('R,12,L,12,R,6')\n addAsAsciiInput('y')\n x = y = 0\n while not ipu.hasHalted:\n output, _ = ipu.runUntilOutput()\n if output < 255:\n c = chr(output)\n if c == '\\n':\n y += 1\n if x == 0:\n y = 0\n visualizer.update()\n visualizer.processEvents()\n x = 0\n elif c in ['.', '#', '^', 'v', '<', '>']:\n visualizer.updateGridPos(x, y, output, False)\n x += 1\n else:\n return output\n return -1\n\n\ninitalMemory = [int(x) for x in open('input.txt').readline().split(',')]\ngrid, playerPos = getInitalGrid(initalMemory)\nprint('A: %i' % a(grid))\nvisualizer = Visualizer((800, 800), {ord('#'): (200, 200, 200), ord('^'): (\n 0, 0, 255), ord('>'): (0, 0, 255), ord('v'): (0, 0, 255), ord('<'): (0,\n 0, 255)})\nprint('B: %i' % b(initalMemory, visualizer))\nvisualizer.waitTillEnd()\n", "<import token>\nsys.path.append('../Day5')\n<import token>\nsys.path.append('../Day15')\n<import token>\n\n\ndef isIntersection(grid, pos):\n\n def positionIsIntersection(x, y):\n return (x, y) in grid and grid[x, y] == '#'\n return positionIsIntersection(pos[0] + 0, pos[1] - 1\n ) and positionIsIntersection(pos[0] - 1, pos[1] + 0\n ) and positionIsIntersection(pos[0] + 1, pos[1] + 0\n ) and positionIsIntersection(pos[0] + 0, pos[1] + 1)\n\n\ndef getInitalGrid(memory):\n ipu = IPU(list(initalMemory))\n grid = {}\n x = y = 0\n robotPos = None\n line = ''\n while not ipu.hasHalted:\n output, _ = ipu.runUntilOutput()\n c = chr(output)\n if c == '\\n':\n y += 1\n x = 0\n print(line)\n line = ''\n else:\n if c == '^':\n robotPos = x, y\n line += c\n grid[x, y] = c\n x += 1\n print(line)\n return grid, robotPos\n\n\ndef a(grid):\n intersections = [p for p in grid.keys() if grid[p] == '#' and\n isIntersection(grid, p)]\n alignmentParameters = list(map(lambda pos: pos[0] * pos[1], intersections))\n return sum(alignmentParameters)\n\n\ndef b(memory, visualizer):\n ipu = IPU(memory)\n ipu.memory[0] = 2\n\n def addAsAsciiInput(ascii):\n for c in ascii:\n ipu.input.appendleft(ord(c))\n ipu.input.appendleft(10)\n addAsAsciiInput('A,B,A,B,C,C,B,A,B,C')\n addAsAsciiInput('L,10,R,10,L,10,L,10')\n addAsAsciiInput('R,10,R,12,L,12')\n addAsAsciiInput('R,12,L,12,R,6')\n addAsAsciiInput('y')\n x = y = 0\n while not ipu.hasHalted:\n output, _ = ipu.runUntilOutput()\n if output < 255:\n c = chr(output)\n if c == '\\n':\n y += 1\n if x == 0:\n y = 0\n visualizer.update()\n visualizer.processEvents()\n x = 0\n elif c in ['.', '#', '^', 'v', '<', '>']:\n visualizer.updateGridPos(x, y, output, False)\n x += 1\n else:\n return output\n return -1\n\n\n<assignment token>\nprint('A: %i' % a(grid))\n<assignment token>\nprint('B: %i' % b(initalMemory, visualizer))\nvisualizer.waitTillEnd()\n", "<import token>\n<code token>\n<import token>\n<code token>\n<import token>\n\n\ndef isIntersection(grid, pos):\n\n def positionIsIntersection(x, y):\n return (x, y) in grid and grid[x, y] == '#'\n return positionIsIntersection(pos[0] + 0, pos[1] - 1\n ) and positionIsIntersection(pos[0] - 1, pos[1] + 0\n ) and positionIsIntersection(pos[0] + 1, pos[1] + 0\n ) and positionIsIntersection(pos[0] + 0, pos[1] + 1)\n\n\ndef getInitalGrid(memory):\n ipu = IPU(list(initalMemory))\n grid = {}\n x = y = 0\n robotPos = None\n line = ''\n while not ipu.hasHalted:\n output, _ = ipu.runUntilOutput()\n c = chr(output)\n if c == '\\n':\n y += 1\n x = 0\n print(line)\n line = ''\n else:\n if c == '^':\n robotPos = x, y\n line += c\n grid[x, y] = c\n x += 1\n print(line)\n return grid, robotPos\n\n\ndef a(grid):\n intersections = [p for p in grid.keys() if grid[p] == '#' and\n isIntersection(grid, p)]\n alignmentParameters = list(map(lambda pos: pos[0] * pos[1], intersections))\n return sum(alignmentParameters)\n\n\ndef b(memory, visualizer):\n ipu = IPU(memory)\n ipu.memory[0] = 2\n\n def addAsAsciiInput(ascii):\n for c in ascii:\n ipu.input.appendleft(ord(c))\n ipu.input.appendleft(10)\n addAsAsciiInput('A,B,A,B,C,C,B,A,B,C')\n addAsAsciiInput('L,10,R,10,L,10,L,10')\n addAsAsciiInput('R,10,R,12,L,12')\n addAsAsciiInput('R,12,L,12,R,6')\n addAsAsciiInput('y')\n x = y = 0\n while not ipu.hasHalted:\n output, _ = ipu.runUntilOutput()\n if output < 255:\n c = chr(output)\n if c == '\\n':\n y += 1\n if x == 0:\n y = 0\n visualizer.update()\n visualizer.processEvents()\n x = 0\n elif c in ['.', '#', '^', 'v', '<', '>']:\n visualizer.updateGridPos(x, y, output, False)\n x += 1\n else:\n return output\n return -1\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n", "<import token>\n<code token>\n<import token>\n<code token>\n<import token>\n\n\ndef isIntersection(grid, pos):\n\n def positionIsIntersection(x, y):\n return (x, y) in grid and grid[x, y] == '#'\n return positionIsIntersection(pos[0] + 0, pos[1] - 1\n ) and positionIsIntersection(pos[0] - 1, pos[1] + 0\n ) and positionIsIntersection(pos[0] + 1, pos[1] + 0\n ) and positionIsIntersection(pos[0] + 0, pos[1] + 1)\n\n\ndef getInitalGrid(memory):\n ipu = IPU(list(initalMemory))\n grid = {}\n x = y = 0\n robotPos = None\n line = ''\n while not ipu.hasHalted:\n output, _ = ipu.runUntilOutput()\n c = chr(output)\n if c == '\\n':\n y += 1\n x = 0\n print(line)\n line = ''\n else:\n if c == '^':\n robotPos = x, y\n line += c\n grid[x, y] = c\n x += 1\n print(line)\n return grid, robotPos\n\n\n<function token>\n\n\ndef b(memory, visualizer):\n ipu = IPU(memory)\n ipu.memory[0] = 2\n\n def addAsAsciiInput(ascii):\n for c in ascii:\n ipu.input.appendleft(ord(c))\n ipu.input.appendleft(10)\n addAsAsciiInput('A,B,A,B,C,C,B,A,B,C')\n addAsAsciiInput('L,10,R,10,L,10,L,10')\n addAsAsciiInput('R,10,R,12,L,12')\n addAsAsciiInput('R,12,L,12,R,6')\n addAsAsciiInput('y')\n x = y = 0\n while not ipu.hasHalted:\n output, _ = ipu.runUntilOutput()\n if output < 255:\n c = chr(output)\n if c == '\\n':\n y += 1\n if x == 0:\n y = 0\n visualizer.update()\n visualizer.processEvents()\n x = 0\n elif c in ['.', '#', '^', 'v', '<', '>']:\n visualizer.updateGridPos(x, y, output, False)\n x += 1\n else:\n return output\n return -1\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n", "<import token>\n<code token>\n<import token>\n<code token>\n<import token>\n\n\ndef isIntersection(grid, pos):\n\n def positionIsIntersection(x, y):\n return (x, y) in grid and grid[x, y] == '#'\n return positionIsIntersection(pos[0] + 0, pos[1] - 1\n ) and positionIsIntersection(pos[0] - 1, pos[1] + 0\n ) and positionIsIntersection(pos[0] + 1, pos[1] + 0\n ) and positionIsIntersection(pos[0] + 0, pos[1] + 1)\n\n\n<function token>\n<function token>\n\n\ndef b(memory, visualizer):\n ipu = IPU(memory)\n ipu.memory[0] = 2\n\n def addAsAsciiInput(ascii):\n for c in ascii:\n ipu.input.appendleft(ord(c))\n ipu.input.appendleft(10)\n addAsAsciiInput('A,B,A,B,C,C,B,A,B,C')\n addAsAsciiInput('L,10,R,10,L,10,L,10')\n addAsAsciiInput('R,10,R,12,L,12')\n addAsAsciiInput('R,12,L,12,R,6')\n addAsAsciiInput('y')\n x = y = 0\n while not ipu.hasHalted:\n output, _ = ipu.runUntilOutput()\n if output < 255:\n c = chr(output)\n if c == '\\n':\n y += 1\n if x == 0:\n y = 0\n visualizer.update()\n visualizer.processEvents()\n x = 0\n elif c in ['.', '#', '^', 'v', '<', '>']:\n visualizer.updateGridPos(x, y, output, False)\n x += 1\n else:\n return output\n return -1\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n", "<import token>\n<code token>\n<import token>\n<code token>\n<import token>\n\n\ndef isIntersection(grid, pos):\n\n def positionIsIntersection(x, y):\n return (x, y) in grid and grid[x, y] == '#'\n return positionIsIntersection(pos[0] + 0, pos[1] - 1\n ) and positionIsIntersection(pos[0] - 1, pos[1] + 0\n ) and positionIsIntersection(pos[0] + 1, pos[1] + 0\n ) and positionIsIntersection(pos[0] + 0, pos[1] + 1)\n\n\n<function token>\n<function token>\n<function token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n", "<import token>\n<code token>\n<import token>\n<code token>\n<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n" ]
false
98,625
fd53b1e160bc1aa5c8f3f04ab78d5e0082247c5f
import sys resultline = "" for line in sys.stdin: split = line.split(",") chr = split[0].split(" ")[0] if split[2].isdigit(): resultline = chr +"\t" +split[2] +"\t" +str((int(split[2]) + len(split[5]))) +"\t" +split[1].replace(".pfm","") +"\t" +split[4] +"\t" +split[3] else: resultline = chr +"\t" +split[3] +"\t" +str((int(split[3]) + len(split[6]))) +"\t" +split[2].replace(".pfm","") +"\t" +split[5] +"\t" +split[4] print resultline
[ "import sys\n\n\nresultline = \"\"\nfor line in sys.stdin:\n\n\tsplit = line.split(\",\")\n\tchr = split[0].split(\" \")[0]\n\n\tif split[2].isdigit():\n\n\t\tresultline = chr +\"\\t\" +split[2] +\"\\t\" +str((int(split[2]) + len(split[5]))) +\"\\t\" +split[1].replace(\".pfm\",\"\") +\"\\t\" +split[4] +\"\\t\" +split[3]\n\telse:\n\t\n\t\tresultline = chr +\"\\t\" +split[3] +\"\\t\" +str((int(split[3]) + len(split[6]))) +\"\\t\" +split[2].replace(\".pfm\",\"\") +\"\\t\" +split[5] +\"\\t\" +split[4]\n \n\tprint resultline\n" ]
true
98,626
6c4f10c8d441048739e5ace60d0de29112ed5afe
__author__ = 'arunprasathshankar' class FlushOutVHDLFacts(object): def __init__(self,wl): self.wl = wl def printFacts(self): facts_out = open('vhdl_facts.txt','wb') facts_out.write('(deffacts VHDLfacts\n') for word in self.wl: word[0] = word[0].split(' ') word[1] = word[1].replace('"',' ') facts_out.write( '(word-data(word-name "' + word[1] + '")(line-number ' + word[0][3] + ')(word-number ' + word[0][5] + '))\n' ) facts_out.write(')') facts_out.close()
[ "__author__ = 'arunprasathshankar'\nclass FlushOutVHDLFacts(object):\n\n def __init__(self,wl):\n self.wl = wl\n\n def printFacts(self):\n facts_out = open('vhdl_facts.txt','wb')\n facts_out.write('(deffacts VHDLfacts\\n')\n for word in self.wl:\n word[0] = word[0].split(' ')\n word[1] = word[1].replace('\"',' ')\n facts_out.write( '(word-data(word-name \"' + word[1] + '\")(line-number ' + word[0][3] + ')(word-number ' + word[0][5] + '))\\n' )\n facts_out.write(')')\n facts_out.close()\n", "__author__ = 'arunprasathshankar'\n\n\nclass FlushOutVHDLFacts(object):\n\n def __init__(self, wl):\n self.wl = wl\n\n def printFacts(self):\n facts_out = open('vhdl_facts.txt', 'wb')\n facts_out.write('(deffacts VHDLfacts\\n')\n for word in self.wl:\n word[0] = word[0].split(' ')\n word[1] = word[1].replace('\"', ' ')\n facts_out.write('(word-data(word-name \"' + word[1] +\n '\")(line-number ' + word[0][3] + ')(word-number ' + word[0]\n [5] + '))\\n')\n facts_out.write(')')\n facts_out.close()\n", "<assignment token>\n\n\nclass FlushOutVHDLFacts(object):\n\n def __init__(self, wl):\n self.wl = wl\n\n def printFacts(self):\n facts_out = open('vhdl_facts.txt', 'wb')\n facts_out.write('(deffacts VHDLfacts\\n')\n for word in self.wl:\n word[0] = word[0].split(' ')\n word[1] = word[1].replace('\"', ' ')\n facts_out.write('(word-data(word-name \"' + word[1] +\n '\")(line-number ' + word[0][3] + ')(word-number ' + word[0]\n [5] + '))\\n')\n facts_out.write(')')\n facts_out.close()\n", "<assignment token>\n\n\nclass FlushOutVHDLFacts(object):\n <function token>\n\n def printFacts(self):\n facts_out = open('vhdl_facts.txt', 'wb')\n facts_out.write('(deffacts VHDLfacts\\n')\n for word in self.wl:\n word[0] = word[0].split(' ')\n word[1] = word[1].replace('\"', ' ')\n facts_out.write('(word-data(word-name \"' + word[1] +\n '\")(line-number ' + word[0][3] + ')(word-number ' + word[0]\n [5] + '))\\n')\n facts_out.write(')')\n facts_out.close()\n", "<assignment token>\n\n\nclass FlushOutVHDLFacts(object):\n <function token>\n <function token>\n", "<assignment token>\n<class token>\n" ]
false
98,627
f91fb1aaa020747f561761169ae7d3092c690abe
yr = int(input("Enter the year: ")) if (yr % 4 == 0 and yr % 100 != 0) or yr % 400 == 0 : print(f"The given year {yr} is a leap year") else: print(f"Not a leap year")
[ "yr = int(input(\"Enter the year: \"))\n\nif (yr % 4 == 0 and yr % 100 != 0) or yr % 400 == 0 :\n print(f\"The given year {yr} is a leap year\")\nelse:\n print(f\"Not a leap year\")", "yr = int(input('Enter the year: '))\nif yr % 4 == 0 and yr % 100 != 0 or yr % 400 == 0:\n print(f'The given year {yr} is a leap year')\nelse:\n print(f'Not a leap year')\n", "<assignment token>\nif yr % 4 == 0 and yr % 100 != 0 or yr % 400 == 0:\n print(f'The given year {yr} is a leap year')\nelse:\n print(f'Not a leap year')\n", "<assignment token>\n<code token>\n" ]
false
98,628
45fe4cc865e7fc0d19f570be39cf2497a3f3bf3a
total = 0 with open("input.txt") as file: for line in file: value = int(line) total += max(0, (value // 3) - 2) print(total)
[ "total = 0\nwith open(\"input.txt\") as file:\n for line in file:\n value = int(line)\n total += max(0, (value // 3) - 2)\nprint(total)\n", "total = 0\nwith open('input.txt') as file:\n for line in file:\n value = int(line)\n total += max(0, value // 3 - 2)\nprint(total)\n", "<assignment token>\nwith open('input.txt') as file:\n for line in file:\n value = int(line)\n total += max(0, value // 3 - 2)\nprint(total)\n", "<assignment token>\n<code token>\n" ]
false
98,629
7eb9726e1bbc5787bec251738990c0d23eb004cd
import json f = open('record.json', 'r') a = f.read() f.close() record = json.loads(a) pId = input('Product ID: ') pName = input('Name: ') pType = input('Type: ') pRating = int(input('Rating: ')) pPrice = int(input('Price: ')) pQty = int(input('Quantity: ')) pDiscount = int(input('Discount: ')) record[pId] = {'name': pName, 'type': pType, 'rating': pRating, 'price': pPrice, 'qty': pQty, 'discount': pDiscount} a = json.dumps(record, indent = 2) f = open('record.json', 'w') f.write(a) f.close()
[ "import json\nf = open('record.json', 'r')\na = f.read()\nf.close()\nrecord = json.loads(a)\n\npId = input('Product ID: ')\npName = input('Name: ')\npType = input('Type: ')\npRating = int(input('Rating: '))\npPrice = int(input('Price: '))\npQty = int(input('Quantity: '))\npDiscount = int(input('Discount: '))\nrecord[pId] = {'name': pName, 'type': pType, 'rating': pRating, 'price': pPrice, 'qty': pQty, 'discount': pDiscount}\n\na = json.dumps(record, indent = 2)\nf = open('record.json', 'w')\nf.write(a)\nf.close()\n", "import json\nf = open('record.json', 'r')\na = f.read()\nf.close()\nrecord = json.loads(a)\npId = input('Product ID: ')\npName = input('Name: ')\npType = input('Type: ')\npRating = int(input('Rating: '))\npPrice = int(input('Price: '))\npQty = int(input('Quantity: '))\npDiscount = int(input('Discount: '))\nrecord[pId] = {'name': pName, 'type': pType, 'rating': pRating, 'price':\n pPrice, 'qty': pQty, 'discount': pDiscount}\na = json.dumps(record, indent=2)\nf = open('record.json', 'w')\nf.write(a)\nf.close()\n", "<import token>\nf = open('record.json', 'r')\na = f.read()\nf.close()\nrecord = json.loads(a)\npId = input('Product ID: ')\npName = input('Name: ')\npType = input('Type: ')\npRating = int(input('Rating: '))\npPrice = int(input('Price: '))\npQty = int(input('Quantity: '))\npDiscount = int(input('Discount: '))\nrecord[pId] = {'name': pName, 'type': pType, 'rating': pRating, 'price':\n pPrice, 'qty': pQty, 'discount': pDiscount}\na = json.dumps(record, indent=2)\nf = open('record.json', 'w')\nf.write(a)\nf.close()\n", "<import token>\n<assignment token>\nf.close()\n<assignment token>\nf.write(a)\nf.close()\n", "<import token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n" ]
false
98,630
9886e14cc76ae0425e1031ad4ee5b3ed011ab9d4
import time import random import usb_midi import adafruit_midi midi = adafruit_midi.MIDI(midi_out=usb_midi.ports[1], out_channel=0) print("Midi test") # Convert channel numbers at the presentation layer to the ones musicians use print("Default output channel:", midi.out_channel + 1) print("Listening on input channel:", midi.in_channel + 1 if midi.in_channel is not None else None) while True: midi.note_on(44, 120) midi.note_off(44, 120) midi.control_change(3, 44) midi.pitch_bend(random.randint(0, 16383)) time.sleep(1)
[ "import time\r\nimport random\r\nimport usb_midi\r\nimport adafruit_midi\r\n\r\nmidi = adafruit_midi.MIDI(midi_out=usb_midi.ports[1], out_channel=0)\r\n\r\nprint(\"Midi test\")\r\n\r\n# Convert channel numbers at the presentation layer to the ones musicians use\r\nprint(\"Default output channel:\", midi.out_channel + 1)\r\nprint(\"Listening on input channel:\",\r\n midi.in_channel + 1 if midi.in_channel is not None else None)\r\n\r\nwhile True:\r\n midi.note_on(44, 120)\r\n midi.note_off(44, 120)\r\n midi.control_change(3, 44)\r\n midi.pitch_bend(random.randint(0, 16383))\r\n time.sleep(1)\r\n", "import time\nimport random\nimport usb_midi\nimport adafruit_midi\nmidi = adafruit_midi.MIDI(midi_out=usb_midi.ports[1], out_channel=0)\nprint('Midi test')\nprint('Default output channel:', midi.out_channel + 1)\nprint('Listening on input channel:', midi.in_channel + 1 if midi.in_channel\n is not None else None)\nwhile True:\n midi.note_on(44, 120)\n midi.note_off(44, 120)\n midi.control_change(3, 44)\n midi.pitch_bend(random.randint(0, 16383))\n time.sleep(1)\n", "<import token>\nmidi = adafruit_midi.MIDI(midi_out=usb_midi.ports[1], out_channel=0)\nprint('Midi test')\nprint('Default output channel:', midi.out_channel + 1)\nprint('Listening on input channel:', midi.in_channel + 1 if midi.in_channel\n is not None else None)\nwhile True:\n midi.note_on(44, 120)\n midi.note_off(44, 120)\n midi.control_change(3, 44)\n midi.pitch_bend(random.randint(0, 16383))\n time.sleep(1)\n", "<import token>\n<assignment token>\nprint('Midi test')\nprint('Default output channel:', midi.out_channel + 1)\nprint('Listening on input channel:', midi.in_channel + 1 if midi.in_channel\n is not None else None)\nwhile True:\n midi.note_on(44, 120)\n midi.note_off(44, 120)\n midi.control_change(3, 44)\n midi.pitch_bend(random.randint(0, 16383))\n time.sleep(1)\n", "<import token>\n<assignment token>\n<code token>\n" ]
false
98,631
8d047cd41d50bcfa92a58a7ce433b196360cdc04
from web_helper.general_utils import GeneralUtility class CredentialHelper(): # EmailId random_email = GeneralUtility.email_generator() valid_email = "[email protected]" # Password random_password = "Amazon" + GeneralUtility.num_string_generator(3) valid_password = "Amazon123" # Username random_username = "test_amazon_" + GeneralUtility.num_string_generator(2) username = "Test123"
[ "from web_helper.general_utils import GeneralUtility\n\n\nclass CredentialHelper():\n\n # EmailId\n random_email = GeneralUtility.email_generator()\n valid_email = \"[email protected]\"\n\n # Password\n random_password = \"Amazon\" + GeneralUtility.num_string_generator(3)\n valid_password = \"Amazon123\"\n\n # Username\n random_username = \"test_amazon_\" + GeneralUtility.num_string_generator(2)\n username = \"Test123\"", "from web_helper.general_utils import GeneralUtility\n\n\nclass CredentialHelper:\n random_email = GeneralUtility.email_generator()\n valid_email = '[email protected]'\n random_password = 'Amazon' + GeneralUtility.num_string_generator(3)\n valid_password = 'Amazon123'\n random_username = 'test_amazon_' + GeneralUtility.num_string_generator(2)\n username = 'Test123'\n", "<import token>\n\n\nclass CredentialHelper:\n random_email = GeneralUtility.email_generator()\n valid_email = '[email protected]'\n random_password = 'Amazon' + GeneralUtility.num_string_generator(3)\n valid_password = 'Amazon123'\n random_username = 'test_amazon_' + GeneralUtility.num_string_generator(2)\n username = 'Test123'\n", "<import token>\n\n\nclass CredentialHelper:\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n", "<import token>\n<class token>\n" ]
false
98,632
6269aa9574528765d064beb98536800196183de9
import os, sys, glob, numpy as np sys.path.insert(0, "/SNS/users/lj7/dv") from PyChop import PyChop2 instrument = PyChop2('cncs.yaml') instrument.moderator.mod_pars = [0, 0, 0] instrument.setChopper('High Resolution') print instrument.getResFlux(Etrans=0, Ei_in=1)
[ "import os, sys, glob, numpy as np\n\nsys.path.insert(0, \"/SNS/users/lj7/dv\")\n\nfrom PyChop import PyChop2\ninstrument = PyChop2('cncs.yaml')\ninstrument.moderator.mod_pars = [0, 0, 0]\ninstrument.setChopper('High Resolution')\nprint instrument.getResFlux(Etrans=0, Ei_in=1)\n" ]
true
98,633
2d919381546395c64581052622e1c7f0331dfaf7
''' Created on Oct 29, 2011 @author: t22cf3p ''' from xml.dom import minidom import urllib, httplib, base64 import sys if __name__ == '__main__': pass auth = base64.encodestring('%s:%s' % ("vmrest", "1qazXSW@"))[:-1] headers = { "Host":"172.31.25.101", "Authorization": "Basic %s" % auth, "User-Agent": "NYLSPlunkREST" } page=1 numUsers=-1 conn = httplib.HTTPS("172.31.25.101:8443") conn.set_debuglevel(1) while True: if numUsers != 1 and page * 100 > numUsers: break; conn.putrequest("GET", "/vmrest/users?rowsPerPage=100&pageNumber="+page.__str__()) conn.putheader("Host","172.31.25.101") conn.putheader("Authorization","Basic dm1yZXN0OjFxYXpYU1dA") conn.putheader("User-Agent", "NYLSPlunkREST") conn.endheaders() errcode, errmsg, headers = conn.getreply() ++page if errcode == 200: xmldoc = minidom.parseString(conn.getfile().read().strip()) if(numUsers==-1): userField = xmldoc.getElementsByTagName("Users") userCount = int(userField.item(0).attributes.item(0).value) print userCount for userNode in xmldoc.getElementsByTagName("User"): alias = "" IsVmEnrolled ="" IsSetForVmEnrollment="" for userInfo in userNode.childNodes: if userInfo.nodeName == "Alias": alias = userInfo.childNodes.item(0).nodeValue elif userInfo.nodeName == "IsVmEnrolled": IsVmEnrolled= userInfo.childNodes.item(0).nodeValue elif userInfo.nodeName == "IsSetForVmEnrollment": IsSetForVmEnrollment= userInfo.childNodes.item(0).nodeValue print alias+","+IsVmEnrolled+","+IsSetForVmEnrollment break; #Users total="3849"
[ "'''\r\nCreated on Oct 29, 2011\r\n\r\n@author: t22cf3p\r\n'''\r\nfrom xml.dom import minidom\r\nimport urllib, httplib, base64\r\nimport sys\r\n\r\nif __name__ == '__main__':\r\n pass\r\n\r\nauth = base64.encodestring('%s:%s' % (\"vmrest\", \"1qazXSW@\"))[:-1]\r\nheaders = { \"Host\":\"172.31.25.101\", \r\n \"Authorization\": \"Basic %s\" % auth,\r\n \"User-Agent\": \"NYLSPlunkREST\"\r\n }\r\n\r\n\r\npage=1\r\nnumUsers=-1\r\n\r\nconn = httplib.HTTPS(\"172.31.25.101:8443\")\r\nconn.set_debuglevel(1) \r\n\r\nwhile True:\r\n if numUsers != 1 and page * 100 > numUsers:\r\n break;\r\n \r\n conn.putrequest(\"GET\", \"/vmrest/users?rowsPerPage=100&pageNumber=\"+page.__str__())\r\n conn.putheader(\"Host\",\"172.31.25.101\")\r\n conn.putheader(\"Authorization\",\"Basic dm1yZXN0OjFxYXpYU1dA\")\r\n conn.putheader(\"User-Agent\", \"NYLSPlunkREST\")\r\n conn.endheaders()\r\n errcode, errmsg, headers = conn.getreply()\r\n ++page\r\n \r\n if errcode == 200:\r\n xmldoc = minidom.parseString(conn.getfile().read().strip())\r\n if(numUsers==-1):\r\n userField = xmldoc.getElementsByTagName(\"Users\")\r\n userCount = int(userField.item(0).attributes.item(0).value)\r\n print userCount\r\n for userNode in xmldoc.getElementsByTagName(\"User\"):\r\n alias = \"\"\r\n IsVmEnrolled =\"\" \r\n IsSetForVmEnrollment=\"\"\r\n \r\n for userInfo in userNode.childNodes:\r\n if userInfo.nodeName == \"Alias\":\r\n alias = userInfo.childNodes.item(0).nodeValue\r\n elif userInfo.nodeName == \"IsVmEnrolled\":\r\n IsVmEnrolled= userInfo.childNodes.item(0).nodeValue\r\n elif userInfo.nodeName == \"IsSetForVmEnrollment\":\r\n IsSetForVmEnrollment= userInfo.childNodes.item(0).nodeValue\r\n print alias+\",\"+IsVmEnrolled+\",\"+IsSetForVmEnrollment\r\n break;\r\n \r\n #Users total=\"3849\"\r\n\r\n" ]
true
98,634
8d43a60a692dfd1dd1a5aa15adc0b9514c5277a8
from maze.class_game.position import Position # -tc- ne pas utiliser d'étoile dans les imports. Ce n'est pas # -tc- conforme à la PEP8 from maze.constants import * from random import sample class Maze: def __init__(self, filename): """Ajouter une docstring""" self.filename = filename self.start = () self.end = () self.paths = [] # -tc- plutôt self.walls = [[], [], [], [], [], [], [], [], [], []] # -tc- ce qui te permettra de faire un self.walls[0].append(...) self.wall0 = [] self.wall1 = [] self.wall2 = [] self.wall3 = [] self.wall4 = [] self.wall5 = [] self.wall6 = [] self.wall7 = [] self.wall8 = [] self.wall9 = [] self.objects_to_find = [] def is_path_position(self, position): """Ajouter une docstring""" return position in self.paths def load_from_file(self): """Fonction qui permet de charger la carte du labyrinthe""" with open(self.filename) as infile: for x, line in enumerate(infile): for y, c in enumerate(line): if c == path_char: self.paths.append(Position(y * size_sprite, x * size_sprite)) elif c == start_char: self.start = Position(y * size_sprite, x * size_sprite) self.paths.append(Position(y * size_sprite, x * size_sprite)) elif c == end_char: self.end = Position(y * size_sprite, x * size_sprite) self.paths.append(Position(y * size_sprite, x * size_sprite)) elif c == '0': self.wall0.append(Position(y * size_sprite, x * size_sprite)) elif c == '1': self.wall1.append(Position(y * size_sprite, x * size_sprite)) elif c == '2': self.wall2.append(Position(y * size_sprite, x * size_sprite)) elif c == '3': self.wall3.append(Position(y * size_sprite, x * size_sprite)) elif c == '4': self.wall4.append(Position(y * size_sprite, x * size_sprite)) elif c == '5': self.wall5.append(Position(y * size_sprite, x * size_sprite)) elif c == '6': self.wall6.append(Position(y * size_sprite, x * size_sprite)) elif c == '7': self.wall7.append(Position(y * size_sprite, x * size_sprite)) elif c == '8': self.wall8.append(Position(y * size_sprite, x * size_sprite)) elif c == '9': self.wall9.append(Position(y * size_sprite, x * size_sprite)) # -tc- Le placement aléatoire des objets se fait bien une seule fois, # -tc- je ne vois pas de soucis ici self.objects_to_find = sample(self.paths, 3) # -tc- Ne pas utiliser print pour débugger mais un debugger print(self.paths) # -tc- return inutile et pas utilisé. Ce n'est pas comme cela qu'on procède pour retourner # -tc- plusieurs valeurs. return self.paths and self.wall0 and self.wall1 and self.wall2 and self.wall3 and self.wall4 and self.wall5 and self.wall6 and self.wall7 and self.wall8 and self.wall9 and self.objects_to_find and self.start and self.end def display(self, window_name, wall0_name, wall1_name, wall2_name, wall3_name, wall4_name, wall5_name, wall6_name, wall7_name, wall8_name, wall9_name, needle_name, tube_name, ether_name): """Ajouter une docstring""" # -tc- Si self.walls est une liste de listes, cela te permet de tout parcourir # -tc- avec une double boucle plutôt que de créer 10 boucles for position in self.wall0: window_name.blit(wall0_name, position.position) for position in self.wall1: window_name.blit(wall1_name, position.position) for position in self.wall2: window_name.blit(wall2_name, position.position) for position in self.wall3: window_name.blit(wall3_name, position.position) for position in self.wall4: window_name.blit(wall4_name, position.position) for position in self.wall5: window_name.blit(wall5_name, position.position) for position in self.wall6: window_name.blit(wall6_name, position.position) for position in self.wall7: window_name.blit(wall7_name, position.position) for position in self.wall8: window_name.blit(wall8_name, position.position) for position in self.wall9: window_name.blit(wall9_name, position.position) objects = [needle_name, tube_name, ether_name] # -tc- utiliser enumerate() plutôt que de devoir maintenir une variable x # -tc- de position. x = 0 for position in self.objects_to_find: window_name.blit(objects[x], position.position) x += 1 def main(): level = Maze("Maze/level/level1") level.load_from_file() # [(0, 0), (30, 0), (60, 0), (120, 0), (150, 0), (180, 0), (210, 0), (240, 0), (300, 0), (330, 0), (360, 0), # (390, 0), (60, 30), (120, 30), (300, 30), (390, 30), (0, 60), (30, 60), (60, 60), (90, 60), (120, 60), (180, 60), # (210, 60), (240, 60), (300, 60), (360, 60), (390, 60), (0, 90), (120, 90), (180, 90), (240, 90), (270, 90), # (300, 90), (360, 90), (60, 120), (90, 120), (120, 120), (180, 120), (360, 120), (390, 120), (420, 120), (0, 150), # (60, 150), (180, 150), (240, 150), (270, 150), (300, 150), (420, 150), (0, 180), (60, 180), (90, 180), (120, 180), # (150, 180), (180, 180), (240, 180), (300, 180), (330, 180), (360, 180), (390, 180), (420, 180), (0, 210), # (30, 210), (60, 210), (120, 210), (240, 210), (390, 210), (120, 240), (180, 240), (210, 240), (240, 240), # (270, 240), (330, 240), (390, 240), (30, 270), (60, 270), (90, 270), (120, 270), (180, 270), (270, 270), # (330, 270), (360, 270), (390, 270), (30, 300), (120, 300), (180, 300), (210, 300), (270, 300), (390, 300), # (420, 300), (30, 330), (60, 330), (90, 330), (120, 330), (210, 330), (270, 330), (300, 330), (330, 330), # (420, 330), (180, 360), (210, 360), (330, 360), (360, 360), (390, 360), (0, 390), (30, 390), (60, 390), (90, 390), # (120, 390), (180, 390), (240, 390), (270, 390), (300, 390), (330, 390), (390, 390), (420, 390), (0, 420), # (120, 420), (150, 420), (180, 420), (240, 420), (420, 420)] p = Position(0, 0).right() print(p) print(level.is_path_position(p)) if __name__ == "__main__": main()
[ "from maze.class_game.position import Position\n# -tc- ne pas utiliser d'étoile dans les imports. Ce n'est pas\n# -tc- conforme à la PEP8\nfrom maze.constants import *\nfrom random import sample\n\n\nclass Maze:\n\n def __init__(self, filename):\n \"\"\"Ajouter une docstring\"\"\"\n self.filename = filename\n self.start = ()\n self.end = ()\n self.paths = []\n # -tc- plutôt self.walls = [[], [], [], [], [], [], [], [], [], []]\n # -tc- ce qui te permettra de faire un self.walls[0].append(...)\n self.wall0 = []\n self.wall1 = []\n self.wall2 = []\n self.wall3 = []\n self.wall4 = []\n self.wall5 = []\n self.wall6 = []\n self.wall7 = []\n self.wall8 = []\n self.wall9 = []\n self.objects_to_find = []\n\n def is_path_position(self, position):\n \"\"\"Ajouter une docstring\"\"\"\n return position in self.paths\n\n def load_from_file(self):\n \"\"\"Fonction qui permet de charger la carte du labyrinthe\"\"\"\n with open(self.filename) as infile:\n for x, line in enumerate(infile):\n for y, c in enumerate(line):\n if c == path_char:\n self.paths.append(Position(y * size_sprite, x * size_sprite))\n elif c == start_char:\n self.start = Position(y * size_sprite, x * size_sprite)\n self.paths.append(Position(y * size_sprite, x * size_sprite))\n elif c == end_char:\n self.end = Position(y * size_sprite, x * size_sprite)\n self.paths.append(Position(y * size_sprite, x * size_sprite))\n elif c == '0':\n self.wall0.append(Position(y * size_sprite, x * size_sprite))\n elif c == '1':\n self.wall1.append(Position(y * size_sprite, x * size_sprite))\n elif c == '2':\n self.wall2.append(Position(y * size_sprite, x * size_sprite))\n elif c == '3':\n self.wall3.append(Position(y * size_sprite, x * size_sprite))\n elif c == '4':\n self.wall4.append(Position(y * size_sprite, x * size_sprite))\n elif c == '5':\n self.wall5.append(Position(y * size_sprite, x * size_sprite))\n elif c == '6':\n self.wall6.append(Position(y * size_sprite, x * size_sprite))\n elif c == '7':\n self.wall7.append(Position(y * size_sprite, x * size_sprite))\n elif c == '8':\n self.wall8.append(Position(y * size_sprite, x * size_sprite))\n elif c == '9':\n self.wall9.append(Position(y * size_sprite, x * size_sprite))\n # -tc- Le placement aléatoire des objets se fait bien une seule fois,\n # -tc- je ne vois pas de soucis ici\n self.objects_to_find = sample(self.paths, 3)\n # -tc- Ne pas utiliser print pour débugger mais un debugger\n print(self.paths)\n\n # -tc- return inutile et pas utilisé. Ce n'est pas comme cela qu'on procède pour retourner \n # -tc- plusieurs valeurs.\n return self.paths and self.wall0 and self.wall1 and self.wall2 and self.wall3 and self.wall4 and self.wall5 and self.wall6 and self.wall7 and self.wall8 and self.wall9 and self.objects_to_find and self.start and self.end\n\n def display(self, window_name, wall0_name, wall1_name, wall2_name, wall3_name,\n wall4_name, wall5_name, wall6_name, wall7_name, wall8_name, wall9_name, needle_name, tube_name,\n ether_name):\n \"\"\"Ajouter une docstring\"\"\"\n\n # -tc- Si self.walls est une liste de listes, cela te permet de tout parcourir\n # -tc- avec une double boucle plutôt que de créer 10 boucles\n for position in self.wall0:\n window_name.blit(wall0_name, position.position)\n for position in self.wall1:\n window_name.blit(wall1_name, position.position)\n for position in self.wall2:\n window_name.blit(wall2_name, position.position)\n for position in self.wall3:\n window_name.blit(wall3_name, position.position)\n for position in self.wall4:\n window_name.blit(wall4_name, position.position)\n for position in self.wall5:\n window_name.blit(wall5_name, position.position)\n for position in self.wall6:\n window_name.blit(wall6_name, position.position)\n for position in self.wall7:\n window_name.blit(wall7_name, position.position)\n for position in self.wall8:\n window_name.blit(wall8_name, position.position)\n for position in self.wall9:\n window_name.blit(wall9_name, position.position)\n objects = [needle_name, tube_name, ether_name]\n # -tc- utiliser enumerate() plutôt que de devoir maintenir une variable x\n # -tc- de position.\n x = 0\n for position in self.objects_to_find:\n window_name.blit(objects[x], position.position)\n x += 1\n\n\ndef main():\n level = Maze(\"Maze/level/level1\")\n level.load_from_file()\n # [(0, 0), (30, 0), (60, 0), (120, 0), (150, 0), (180, 0), (210, 0), (240, 0), (300, 0), (330, 0), (360, 0),\n # (390, 0), (60, 30), (120, 30), (300, 30), (390, 30), (0, 60), (30, 60), (60, 60), (90, 60), (120, 60), (180, 60),\n # (210, 60), (240, 60), (300, 60), (360, 60), (390, 60), (0, 90), (120, 90), (180, 90), (240, 90), (270, 90),\n # (300, 90), (360, 90), (60, 120), (90, 120), (120, 120), (180, 120), (360, 120), (390, 120), (420, 120), (0, 150),\n # (60, 150), (180, 150), (240, 150), (270, 150), (300, 150), (420, 150), (0, 180), (60, 180), (90, 180), (120, 180),\n # (150, 180), (180, 180), (240, 180), (300, 180), (330, 180), (360, 180), (390, 180), (420, 180), (0, 210),\n # (30, 210), (60, 210), (120, 210), (240, 210), (390, 210), (120, 240), (180, 240), (210, 240), (240, 240),\n # (270, 240), (330, 240), (390, 240), (30, 270), (60, 270), (90, 270), (120, 270), (180, 270), (270, 270),\n # (330, 270), (360, 270), (390, 270), (30, 300), (120, 300), (180, 300), (210, 300), (270, 300), (390, 300),\n # (420, 300), (30, 330), (60, 330), (90, 330), (120, 330), (210, 330), (270, 330), (300, 330), (330, 330),\n # (420, 330), (180, 360), (210, 360), (330, 360), (360, 360), (390, 360), (0, 390), (30, 390), (60, 390), (90, 390),\n # (120, 390), (180, 390), (240, 390), (270, 390), (300, 390), (330, 390), (390, 390), (420, 390), (0, 420),\n # (120, 420), (150, 420), (180, 420), (240, 420), (420, 420)]\n p = Position(0, 0).right()\n print(p)\n print(level.is_path_position(p))\n\n\nif __name__ == \"__main__\":\n main()\n", "from maze.class_game.position import Position\nfrom maze.constants import *\nfrom random import sample\n\n\nclass Maze:\n\n def __init__(self, filename):\n \"\"\"Ajouter une docstring\"\"\"\n self.filename = filename\n self.start = ()\n self.end = ()\n self.paths = []\n self.wall0 = []\n self.wall1 = []\n self.wall2 = []\n self.wall3 = []\n self.wall4 = []\n self.wall5 = []\n self.wall6 = []\n self.wall7 = []\n self.wall8 = []\n self.wall9 = []\n self.objects_to_find = []\n\n def is_path_position(self, position):\n \"\"\"Ajouter une docstring\"\"\"\n return position in self.paths\n\n def load_from_file(self):\n \"\"\"Fonction qui permet de charger la carte du labyrinthe\"\"\"\n with open(self.filename) as infile:\n for x, line in enumerate(infile):\n for y, c in enumerate(line):\n if c == path_char:\n self.paths.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == start_char:\n self.start = Position(y * size_sprite, x * size_sprite)\n self.paths.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == end_char:\n self.end = Position(y * size_sprite, x * size_sprite)\n self.paths.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '0':\n self.wall0.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '1':\n self.wall1.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '2':\n self.wall2.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '3':\n self.wall3.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '4':\n self.wall4.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '5':\n self.wall5.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '6':\n self.wall6.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '7':\n self.wall7.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '8':\n self.wall8.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '9':\n self.wall9.append(Position(y * size_sprite, x *\n size_sprite))\n self.objects_to_find = sample(self.paths, 3)\n print(self.paths)\n return (self.paths and self.wall0 and self.wall1 and self.wall2 and\n self.wall3 and self.wall4 and self.wall5 and self.wall6 and\n self.wall7 and self.wall8 and self.wall9 and self.\n objects_to_find and self.start and self.end)\n\n def display(self, window_name, wall0_name, wall1_name, wall2_name,\n wall3_name, wall4_name, wall5_name, wall6_name, wall7_name,\n wall8_name, wall9_name, needle_name, tube_name, ether_name):\n \"\"\"Ajouter une docstring\"\"\"\n for position in self.wall0:\n window_name.blit(wall0_name, position.position)\n for position in self.wall1:\n window_name.blit(wall1_name, position.position)\n for position in self.wall2:\n window_name.blit(wall2_name, position.position)\n for position in self.wall3:\n window_name.blit(wall3_name, position.position)\n for position in self.wall4:\n window_name.blit(wall4_name, position.position)\n for position in self.wall5:\n window_name.blit(wall5_name, position.position)\n for position in self.wall6:\n window_name.blit(wall6_name, position.position)\n for position in self.wall7:\n window_name.blit(wall7_name, position.position)\n for position in self.wall8:\n window_name.blit(wall8_name, position.position)\n for position in self.wall9:\n window_name.blit(wall9_name, position.position)\n objects = [needle_name, tube_name, ether_name]\n x = 0\n for position in self.objects_to_find:\n window_name.blit(objects[x], position.position)\n x += 1\n\n\ndef main():\n level = Maze('Maze/level/level1')\n level.load_from_file()\n p = Position(0, 0).right()\n print(p)\n print(level.is_path_position(p))\n\n\nif __name__ == '__main__':\n main()\n", "<import token>\n\n\nclass Maze:\n\n def __init__(self, filename):\n \"\"\"Ajouter une docstring\"\"\"\n self.filename = filename\n self.start = ()\n self.end = ()\n self.paths = []\n self.wall0 = []\n self.wall1 = []\n self.wall2 = []\n self.wall3 = []\n self.wall4 = []\n self.wall5 = []\n self.wall6 = []\n self.wall7 = []\n self.wall8 = []\n self.wall9 = []\n self.objects_to_find = []\n\n def is_path_position(self, position):\n \"\"\"Ajouter une docstring\"\"\"\n return position in self.paths\n\n def load_from_file(self):\n \"\"\"Fonction qui permet de charger la carte du labyrinthe\"\"\"\n with open(self.filename) as infile:\n for x, line in enumerate(infile):\n for y, c in enumerate(line):\n if c == path_char:\n self.paths.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == start_char:\n self.start = Position(y * size_sprite, x * size_sprite)\n self.paths.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == end_char:\n self.end = Position(y * size_sprite, x * size_sprite)\n self.paths.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '0':\n self.wall0.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '1':\n self.wall1.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '2':\n self.wall2.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '3':\n self.wall3.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '4':\n self.wall4.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '5':\n self.wall5.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '6':\n self.wall6.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '7':\n self.wall7.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '8':\n self.wall8.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '9':\n self.wall9.append(Position(y * size_sprite, x *\n size_sprite))\n self.objects_to_find = sample(self.paths, 3)\n print(self.paths)\n return (self.paths and self.wall0 and self.wall1 and self.wall2 and\n self.wall3 and self.wall4 and self.wall5 and self.wall6 and\n self.wall7 and self.wall8 and self.wall9 and self.\n objects_to_find and self.start and self.end)\n\n def display(self, window_name, wall0_name, wall1_name, wall2_name,\n wall3_name, wall4_name, wall5_name, wall6_name, wall7_name,\n wall8_name, wall9_name, needle_name, tube_name, ether_name):\n \"\"\"Ajouter une docstring\"\"\"\n for position in self.wall0:\n window_name.blit(wall0_name, position.position)\n for position in self.wall1:\n window_name.blit(wall1_name, position.position)\n for position in self.wall2:\n window_name.blit(wall2_name, position.position)\n for position in self.wall3:\n window_name.blit(wall3_name, position.position)\n for position in self.wall4:\n window_name.blit(wall4_name, position.position)\n for position in self.wall5:\n window_name.blit(wall5_name, position.position)\n for position in self.wall6:\n window_name.blit(wall6_name, position.position)\n for position in self.wall7:\n window_name.blit(wall7_name, position.position)\n for position in self.wall8:\n window_name.blit(wall8_name, position.position)\n for position in self.wall9:\n window_name.blit(wall9_name, position.position)\n objects = [needle_name, tube_name, ether_name]\n x = 0\n for position in self.objects_to_find:\n window_name.blit(objects[x], position.position)\n x += 1\n\n\ndef main():\n level = Maze('Maze/level/level1')\n level.load_from_file()\n p = Position(0, 0).right()\n print(p)\n print(level.is_path_position(p))\n\n\nif __name__ == '__main__':\n main()\n", "<import token>\n\n\nclass Maze:\n\n def __init__(self, filename):\n \"\"\"Ajouter une docstring\"\"\"\n self.filename = filename\n self.start = ()\n self.end = ()\n self.paths = []\n self.wall0 = []\n self.wall1 = []\n self.wall2 = []\n self.wall3 = []\n self.wall4 = []\n self.wall5 = []\n self.wall6 = []\n self.wall7 = []\n self.wall8 = []\n self.wall9 = []\n self.objects_to_find = []\n\n def is_path_position(self, position):\n \"\"\"Ajouter une docstring\"\"\"\n return position in self.paths\n\n def load_from_file(self):\n \"\"\"Fonction qui permet de charger la carte du labyrinthe\"\"\"\n with open(self.filename) as infile:\n for x, line in enumerate(infile):\n for y, c in enumerate(line):\n if c == path_char:\n self.paths.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == start_char:\n self.start = Position(y * size_sprite, x * size_sprite)\n self.paths.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == end_char:\n self.end = Position(y * size_sprite, x * size_sprite)\n self.paths.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '0':\n self.wall0.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '1':\n self.wall1.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '2':\n self.wall2.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '3':\n self.wall3.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '4':\n self.wall4.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '5':\n self.wall5.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '6':\n self.wall6.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '7':\n self.wall7.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '8':\n self.wall8.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '9':\n self.wall9.append(Position(y * size_sprite, x *\n size_sprite))\n self.objects_to_find = sample(self.paths, 3)\n print(self.paths)\n return (self.paths and self.wall0 and self.wall1 and self.wall2 and\n self.wall3 and self.wall4 and self.wall5 and self.wall6 and\n self.wall7 and self.wall8 and self.wall9 and self.\n objects_to_find and self.start and self.end)\n\n def display(self, window_name, wall0_name, wall1_name, wall2_name,\n wall3_name, wall4_name, wall5_name, wall6_name, wall7_name,\n wall8_name, wall9_name, needle_name, tube_name, ether_name):\n \"\"\"Ajouter une docstring\"\"\"\n for position in self.wall0:\n window_name.blit(wall0_name, position.position)\n for position in self.wall1:\n window_name.blit(wall1_name, position.position)\n for position in self.wall2:\n window_name.blit(wall2_name, position.position)\n for position in self.wall3:\n window_name.blit(wall3_name, position.position)\n for position in self.wall4:\n window_name.blit(wall4_name, position.position)\n for position in self.wall5:\n window_name.blit(wall5_name, position.position)\n for position in self.wall6:\n window_name.blit(wall6_name, position.position)\n for position in self.wall7:\n window_name.blit(wall7_name, position.position)\n for position in self.wall8:\n window_name.blit(wall8_name, position.position)\n for position in self.wall9:\n window_name.blit(wall9_name, position.position)\n objects = [needle_name, tube_name, ether_name]\n x = 0\n for position in self.objects_to_find:\n window_name.blit(objects[x], position.position)\n x += 1\n\n\ndef main():\n level = Maze('Maze/level/level1')\n level.load_from_file()\n p = Position(0, 0).right()\n print(p)\n print(level.is_path_position(p))\n\n\n<code token>\n", "<import token>\n\n\nclass Maze:\n\n def __init__(self, filename):\n \"\"\"Ajouter une docstring\"\"\"\n self.filename = filename\n self.start = ()\n self.end = ()\n self.paths = []\n self.wall0 = []\n self.wall1 = []\n self.wall2 = []\n self.wall3 = []\n self.wall4 = []\n self.wall5 = []\n self.wall6 = []\n self.wall7 = []\n self.wall8 = []\n self.wall9 = []\n self.objects_to_find = []\n\n def is_path_position(self, position):\n \"\"\"Ajouter une docstring\"\"\"\n return position in self.paths\n\n def load_from_file(self):\n \"\"\"Fonction qui permet de charger la carte du labyrinthe\"\"\"\n with open(self.filename) as infile:\n for x, line in enumerate(infile):\n for y, c in enumerate(line):\n if c == path_char:\n self.paths.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == start_char:\n self.start = Position(y * size_sprite, x * size_sprite)\n self.paths.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == end_char:\n self.end = Position(y * size_sprite, x * size_sprite)\n self.paths.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '0':\n self.wall0.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '1':\n self.wall1.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '2':\n self.wall2.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '3':\n self.wall3.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '4':\n self.wall4.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '5':\n self.wall5.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '6':\n self.wall6.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '7':\n self.wall7.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '8':\n self.wall8.append(Position(y * size_sprite, x *\n size_sprite))\n elif c == '9':\n self.wall9.append(Position(y * size_sprite, x *\n size_sprite))\n self.objects_to_find = sample(self.paths, 3)\n print(self.paths)\n return (self.paths and self.wall0 and self.wall1 and self.wall2 and\n self.wall3 and self.wall4 and self.wall5 and self.wall6 and\n self.wall7 and self.wall8 and self.wall9 and self.\n objects_to_find and self.start and self.end)\n\n def display(self, window_name, wall0_name, wall1_name, wall2_name,\n wall3_name, wall4_name, wall5_name, wall6_name, wall7_name,\n wall8_name, wall9_name, needle_name, tube_name, ether_name):\n \"\"\"Ajouter une docstring\"\"\"\n for position in self.wall0:\n window_name.blit(wall0_name, position.position)\n for position in self.wall1:\n window_name.blit(wall1_name, position.position)\n for position in self.wall2:\n window_name.blit(wall2_name, position.position)\n for position in self.wall3:\n window_name.blit(wall3_name, position.position)\n for position in self.wall4:\n window_name.blit(wall4_name, position.position)\n for position in self.wall5:\n window_name.blit(wall5_name, position.position)\n for position in self.wall6:\n window_name.blit(wall6_name, position.position)\n for position in self.wall7:\n window_name.blit(wall7_name, position.position)\n for position in self.wall8:\n window_name.blit(wall8_name, position.position)\n for position in self.wall9:\n window_name.blit(wall9_name, position.position)\n objects = [needle_name, tube_name, ether_name]\n x = 0\n for position in self.objects_to_find:\n window_name.blit(objects[x], position.position)\n x += 1\n\n\n<function token>\n<code token>\n", "<import token>\n\n\nclass Maze:\n\n def __init__(self, filename):\n \"\"\"Ajouter une docstring\"\"\"\n self.filename = filename\n self.start = ()\n self.end = ()\n self.paths = []\n self.wall0 = []\n self.wall1 = []\n self.wall2 = []\n self.wall3 = []\n self.wall4 = []\n self.wall5 = []\n self.wall6 = []\n self.wall7 = []\n self.wall8 = []\n self.wall9 = []\n self.objects_to_find = []\n\n def is_path_position(self, position):\n \"\"\"Ajouter une docstring\"\"\"\n return position in self.paths\n <function token>\n\n def display(self, window_name, wall0_name, wall1_name, wall2_name,\n wall3_name, wall4_name, wall5_name, wall6_name, wall7_name,\n wall8_name, wall9_name, needle_name, tube_name, ether_name):\n \"\"\"Ajouter une docstring\"\"\"\n for position in self.wall0:\n window_name.blit(wall0_name, position.position)\n for position in self.wall1:\n window_name.blit(wall1_name, position.position)\n for position in self.wall2:\n window_name.blit(wall2_name, position.position)\n for position in self.wall3:\n window_name.blit(wall3_name, position.position)\n for position in self.wall4:\n window_name.blit(wall4_name, position.position)\n for position in self.wall5:\n window_name.blit(wall5_name, position.position)\n for position in self.wall6:\n window_name.blit(wall6_name, position.position)\n for position in self.wall7:\n window_name.blit(wall7_name, position.position)\n for position in self.wall8:\n window_name.blit(wall8_name, position.position)\n for position in self.wall9:\n window_name.blit(wall9_name, position.position)\n objects = [needle_name, tube_name, ether_name]\n x = 0\n for position in self.objects_to_find:\n window_name.blit(objects[x], position.position)\n x += 1\n\n\n<function token>\n<code token>\n", "<import token>\n\n\nclass Maze:\n\n def __init__(self, filename):\n \"\"\"Ajouter une docstring\"\"\"\n self.filename = filename\n self.start = ()\n self.end = ()\n self.paths = []\n self.wall0 = []\n self.wall1 = []\n self.wall2 = []\n self.wall3 = []\n self.wall4 = []\n self.wall5 = []\n self.wall6 = []\n self.wall7 = []\n self.wall8 = []\n self.wall9 = []\n self.objects_to_find = []\n <function token>\n <function token>\n\n def display(self, window_name, wall0_name, wall1_name, wall2_name,\n wall3_name, wall4_name, wall5_name, wall6_name, wall7_name,\n wall8_name, wall9_name, needle_name, tube_name, ether_name):\n \"\"\"Ajouter une docstring\"\"\"\n for position in self.wall0:\n window_name.blit(wall0_name, position.position)\n for position in self.wall1:\n window_name.blit(wall1_name, position.position)\n for position in self.wall2:\n window_name.blit(wall2_name, position.position)\n for position in self.wall3:\n window_name.blit(wall3_name, position.position)\n for position in self.wall4:\n window_name.blit(wall4_name, position.position)\n for position in self.wall5:\n window_name.blit(wall5_name, position.position)\n for position in self.wall6:\n window_name.blit(wall6_name, position.position)\n for position in self.wall7:\n window_name.blit(wall7_name, position.position)\n for position in self.wall8:\n window_name.blit(wall8_name, position.position)\n for position in self.wall9:\n window_name.blit(wall9_name, position.position)\n objects = [needle_name, tube_name, ether_name]\n x = 0\n for position in self.objects_to_find:\n window_name.blit(objects[x], position.position)\n x += 1\n\n\n<function token>\n<code token>\n", "<import token>\n\n\nclass Maze:\n\n def __init__(self, filename):\n \"\"\"Ajouter une docstring\"\"\"\n self.filename = filename\n self.start = ()\n self.end = ()\n self.paths = []\n self.wall0 = []\n self.wall1 = []\n self.wall2 = []\n self.wall3 = []\n self.wall4 = []\n self.wall5 = []\n self.wall6 = []\n self.wall7 = []\n self.wall8 = []\n self.wall9 = []\n self.objects_to_find = []\n <function token>\n <function token>\n <function token>\n\n\n<function token>\n<code token>\n", "<import token>\n\n\nclass Maze:\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<function token>\n<code token>\n", "<import token>\n<class token>\n<function token>\n<code token>\n" ]
false
98,635
603f4f69548b8ce5ac67d6e282efe404ae91c94d
from pyspark_proxy.proxy import Proxy __all__ = ['Column'] class Column(Proxy): def alias(self, *args, **kwargs): return self._call(self._id, 'alias', (args, kwargs)) def cast(self, *args, **kwargs): return self._call(self._id, 'cast', (args, kwargs)) def __repr__(self): return self._call(self._id, '__repr__', ((), {})) # better way to define these? def _op_func(self, name, *args, **kwargs): return self._call(self._id, '__neg__', (args, kwargs)) def __add__(self, *args, **kwargs): return self._call(self._id, '__add__', (args, kwargs)) def __sub__(self, *args, **kwargs): return self._call(self._id, '__sub__', (args, kwargs)) def __mul__(self, *args, **kwargs): return self._call(self._id, '__mul__', (args, kwargs)) def __div__(self, *args, **kwargs): return self._call(self._id, '__div__', (args, kwargs)) def __truediv__(self, *args, **kwargs): return self._call(self._id, '__truediv__', (args, kwargs)) def __mod__(self, *args, **kwargs): return self._call(self._id, '__mod__', (args, kwargs)) def __radd__(self, *args, **kwargs): return self._call(self._id, '__radd__', (args, kwargs)) def __rsub__(self, *args, **kwargs): return self._call(self._id, '__rsub__', (args, kwargs)) def __rmul__(self, *args, **kwargs): return self._call(self._id, '__rmul__', (args, kwargs)) def __rdiv__(self, *args, **kwargs): return self._call(self._id, '__rdiv__', (args, kwargs)) def __rtruediv__(self, *args, **kwargs): return self._call(self._id, '__rdiv__', (args, kwargs)) def __rmod__(self, *args, **kwargs): return self._call(self._id, '__rmod__', (args, kwargs)) def __pow__(self, *args, **kwargs): return self._call(self._id, '__pow__', (args, kwargs)) def __rpow__(self, *args, **kwargs): return self._call(self._id, '__rpow__', (args, kwargs)) def __eq__(self, *args, **kwargs): return self._call(self._id, '__eq__', (args, kwargs)) def __ne__(self, *args, **kwargs): return self._call(self._id, '__ne__', (args, kwargs)) def __lt__(self, *args, **kwargs): return self._call(self._id, '__lt__', (args, kwargs)) def __le__(self, *args, **kwargs): return self._call(self._id, '__le__', (args, kwargs)) def __ge__(self, *args, **kwargs): return self._call(self._id, '__ge__', (args, kwargs)) def __gt__(self, *args, **kwargs): return self._call(self._id, '__gt__', (args, kwargs)) def __and__(self, *args, **kwargs): return self._call(self._id, '__and__', (args, kwargs)) def __or__(self, *args, **kwargs): return self._call(self._id, '__or__', (args, kwargs)) def __invert__(self, *args, **kwargs): return self._call(self._id, '__invert__', (args, kwargs)) def __rand__(self, *args, **kwargs): return self._call(self._id, '__rand__', (args, kwargs)) def __ror__(self, *args, **kwargs): return self._call(self._id, '__ror__', (args, kwargs))
[ "from pyspark_proxy.proxy import Proxy\n\n__all__ = ['Column']\n\nclass Column(Proxy):\n def alias(self, *args, **kwargs):\n return self._call(self._id, 'alias', (args, kwargs))\n\n def cast(self, *args, **kwargs):\n return self._call(self._id, 'cast', (args, kwargs))\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n\n # better way to define these?\n def _op_func(self, name, *args, **kwargs):\n return self._call(self._id, '__neg__', (args, kwargs))\n\n def __add__(self, *args, **kwargs):\n return self._call(self._id, '__add__', (args, kwargs))\n\n def __sub__(self, *args, **kwargs):\n return self._call(self._id, '__sub__', (args, kwargs))\n\n def __mul__(self, *args, **kwargs):\n return self._call(self._id, '__mul__', (args, kwargs))\n\n def __div__(self, *args, **kwargs):\n return self._call(self._id, '__div__', (args, kwargs))\n\n def __truediv__(self, *args, **kwargs):\n return self._call(self._id, '__truediv__', (args, kwargs))\n\n def __mod__(self, *args, **kwargs):\n return self._call(self._id, '__mod__', (args, kwargs))\n\n def __radd__(self, *args, **kwargs):\n return self._call(self._id, '__radd__', (args, kwargs))\n\n def __rsub__(self, *args, **kwargs):\n return self._call(self._id, '__rsub__', (args, kwargs))\n\n def __rmul__(self, *args, **kwargs):\n return self._call(self._id, '__rmul__', (args, kwargs))\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n\n def __rpow__(self, *args, **kwargs):\n return self._call(self._id, '__rpow__', (args, kwargs))\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n\n def __ne__(self, *args, **kwargs):\n return self._call(self._id, '__ne__', (args, kwargs))\n\n def __lt__(self, *args, **kwargs):\n return self._call(self._id, '__lt__', (args, kwargs))\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n\n def __ge__(self, *args, **kwargs):\n return self._call(self._id, '__ge__', (args, kwargs))\n\n def __gt__(self, *args, **kwargs):\n return self._call(self._id, '__gt__', (args, kwargs))\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n\n def __invert__(self, *args, **kwargs):\n return self._call(self._id, '__invert__', (args, kwargs))\n\n def __rand__(self, *args, **kwargs):\n return self._call(self._id, '__rand__', (args, kwargs))\n\n def __ror__(self, *args, **kwargs):\n return self._call(self._id, '__ror__', (args, kwargs))\n", "from pyspark_proxy.proxy import Proxy\n__all__ = ['Column']\n\n\nclass Column(Proxy):\n\n def alias(self, *args, **kwargs):\n return self._call(self._id, 'alias', (args, kwargs))\n\n def cast(self, *args, **kwargs):\n return self._call(self._id, 'cast', (args, kwargs))\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n\n def _op_func(self, name, *args, **kwargs):\n return self._call(self._id, '__neg__', (args, kwargs))\n\n def __add__(self, *args, **kwargs):\n return self._call(self._id, '__add__', (args, kwargs))\n\n def __sub__(self, *args, **kwargs):\n return self._call(self._id, '__sub__', (args, kwargs))\n\n def __mul__(self, *args, **kwargs):\n return self._call(self._id, '__mul__', (args, kwargs))\n\n def __div__(self, *args, **kwargs):\n return self._call(self._id, '__div__', (args, kwargs))\n\n def __truediv__(self, *args, **kwargs):\n return self._call(self._id, '__truediv__', (args, kwargs))\n\n def __mod__(self, *args, **kwargs):\n return self._call(self._id, '__mod__', (args, kwargs))\n\n def __radd__(self, *args, **kwargs):\n return self._call(self._id, '__radd__', (args, kwargs))\n\n def __rsub__(self, *args, **kwargs):\n return self._call(self._id, '__rsub__', (args, kwargs))\n\n def __rmul__(self, *args, **kwargs):\n return self._call(self._id, '__rmul__', (args, kwargs))\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n\n def __rpow__(self, *args, **kwargs):\n return self._call(self._id, '__rpow__', (args, kwargs))\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n\n def __ne__(self, *args, **kwargs):\n return self._call(self._id, '__ne__', (args, kwargs))\n\n def __lt__(self, *args, **kwargs):\n return self._call(self._id, '__lt__', (args, kwargs))\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n\n def __ge__(self, *args, **kwargs):\n return self._call(self._id, '__ge__', (args, kwargs))\n\n def __gt__(self, *args, **kwargs):\n return self._call(self._id, '__gt__', (args, kwargs))\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n\n def __invert__(self, *args, **kwargs):\n return self._call(self._id, '__invert__', (args, kwargs))\n\n def __rand__(self, *args, **kwargs):\n return self._call(self._id, '__rand__', (args, kwargs))\n\n def __ror__(self, *args, **kwargs):\n return self._call(self._id, '__ror__', (args, kwargs))\n", "<import token>\n__all__ = ['Column']\n\n\nclass Column(Proxy):\n\n def alias(self, *args, **kwargs):\n return self._call(self._id, 'alias', (args, kwargs))\n\n def cast(self, *args, **kwargs):\n return self._call(self._id, 'cast', (args, kwargs))\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n\n def _op_func(self, name, *args, **kwargs):\n return self._call(self._id, '__neg__', (args, kwargs))\n\n def __add__(self, *args, **kwargs):\n return self._call(self._id, '__add__', (args, kwargs))\n\n def __sub__(self, *args, **kwargs):\n return self._call(self._id, '__sub__', (args, kwargs))\n\n def __mul__(self, *args, **kwargs):\n return self._call(self._id, '__mul__', (args, kwargs))\n\n def __div__(self, *args, **kwargs):\n return self._call(self._id, '__div__', (args, kwargs))\n\n def __truediv__(self, *args, **kwargs):\n return self._call(self._id, '__truediv__', (args, kwargs))\n\n def __mod__(self, *args, **kwargs):\n return self._call(self._id, '__mod__', (args, kwargs))\n\n def __radd__(self, *args, **kwargs):\n return self._call(self._id, '__radd__', (args, kwargs))\n\n def __rsub__(self, *args, **kwargs):\n return self._call(self._id, '__rsub__', (args, kwargs))\n\n def __rmul__(self, *args, **kwargs):\n return self._call(self._id, '__rmul__', (args, kwargs))\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n\n def __rpow__(self, *args, **kwargs):\n return self._call(self._id, '__rpow__', (args, kwargs))\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n\n def __ne__(self, *args, **kwargs):\n return self._call(self._id, '__ne__', (args, kwargs))\n\n def __lt__(self, *args, **kwargs):\n return self._call(self._id, '__lt__', (args, kwargs))\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n\n def __ge__(self, *args, **kwargs):\n return self._call(self._id, '__ge__', (args, kwargs))\n\n def __gt__(self, *args, **kwargs):\n return self._call(self._id, '__gt__', (args, kwargs))\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n\n def __invert__(self, *args, **kwargs):\n return self._call(self._id, '__invert__', (args, kwargs))\n\n def __rand__(self, *args, **kwargs):\n return self._call(self._id, '__rand__', (args, kwargs))\n\n def __ror__(self, *args, **kwargs):\n return self._call(self._id, '__ror__', (args, kwargs))\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n\n def alias(self, *args, **kwargs):\n return self._call(self._id, 'alias', (args, kwargs))\n\n def cast(self, *args, **kwargs):\n return self._call(self._id, 'cast', (args, kwargs))\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n\n def _op_func(self, name, *args, **kwargs):\n return self._call(self._id, '__neg__', (args, kwargs))\n\n def __add__(self, *args, **kwargs):\n return self._call(self._id, '__add__', (args, kwargs))\n\n def __sub__(self, *args, **kwargs):\n return self._call(self._id, '__sub__', (args, kwargs))\n\n def __mul__(self, *args, **kwargs):\n return self._call(self._id, '__mul__', (args, kwargs))\n\n def __div__(self, *args, **kwargs):\n return self._call(self._id, '__div__', (args, kwargs))\n\n def __truediv__(self, *args, **kwargs):\n return self._call(self._id, '__truediv__', (args, kwargs))\n\n def __mod__(self, *args, **kwargs):\n return self._call(self._id, '__mod__', (args, kwargs))\n\n def __radd__(self, *args, **kwargs):\n return self._call(self._id, '__radd__', (args, kwargs))\n\n def __rsub__(self, *args, **kwargs):\n return self._call(self._id, '__rsub__', (args, kwargs))\n\n def __rmul__(self, *args, **kwargs):\n return self._call(self._id, '__rmul__', (args, kwargs))\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n\n def __rpow__(self, *args, **kwargs):\n return self._call(self._id, '__rpow__', (args, kwargs))\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n\n def __ne__(self, *args, **kwargs):\n return self._call(self._id, '__ne__', (args, kwargs))\n\n def __lt__(self, *args, **kwargs):\n return self._call(self._id, '__lt__', (args, kwargs))\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n\n def __ge__(self, *args, **kwargs):\n return self._call(self._id, '__ge__', (args, kwargs))\n\n def __gt__(self, *args, **kwargs):\n return self._call(self._id, '__gt__', (args, kwargs))\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n\n def __invert__(self, *args, **kwargs):\n return self._call(self._id, '__invert__', (args, kwargs))\n\n def __rand__(self, *args, **kwargs):\n return self._call(self._id, '__rand__', (args, kwargs))\n\n def __ror__(self, *args, **kwargs):\n return self._call(self._id, '__ror__', (args, kwargs))\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n\n def alias(self, *args, **kwargs):\n return self._call(self._id, 'alias', (args, kwargs))\n\n def cast(self, *args, **kwargs):\n return self._call(self._id, 'cast', (args, kwargs))\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n\n def _op_func(self, name, *args, **kwargs):\n return self._call(self._id, '__neg__', (args, kwargs))\n\n def __add__(self, *args, **kwargs):\n return self._call(self._id, '__add__', (args, kwargs))\n\n def __sub__(self, *args, **kwargs):\n return self._call(self._id, '__sub__', (args, kwargs))\n\n def __mul__(self, *args, **kwargs):\n return self._call(self._id, '__mul__', (args, kwargs))\n\n def __div__(self, *args, **kwargs):\n return self._call(self._id, '__div__', (args, kwargs))\n\n def __truediv__(self, *args, **kwargs):\n return self._call(self._id, '__truediv__', (args, kwargs))\n\n def __mod__(self, *args, **kwargs):\n return self._call(self._id, '__mod__', (args, kwargs))\n\n def __radd__(self, *args, **kwargs):\n return self._call(self._id, '__radd__', (args, kwargs))\n\n def __rsub__(self, *args, **kwargs):\n return self._call(self._id, '__rsub__', (args, kwargs))\n\n def __rmul__(self, *args, **kwargs):\n return self._call(self._id, '__rmul__', (args, kwargs))\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n\n def __rpow__(self, *args, **kwargs):\n return self._call(self._id, '__rpow__', (args, kwargs))\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n\n def __ne__(self, *args, **kwargs):\n return self._call(self._id, '__ne__', (args, kwargs))\n <function token>\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n\n def __ge__(self, *args, **kwargs):\n return self._call(self._id, '__ge__', (args, kwargs))\n\n def __gt__(self, *args, **kwargs):\n return self._call(self._id, '__gt__', (args, kwargs))\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n\n def __invert__(self, *args, **kwargs):\n return self._call(self._id, '__invert__', (args, kwargs))\n\n def __rand__(self, *args, **kwargs):\n return self._call(self._id, '__rand__', (args, kwargs))\n\n def __ror__(self, *args, **kwargs):\n return self._call(self._id, '__ror__', (args, kwargs))\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n\n def alias(self, *args, **kwargs):\n return self._call(self._id, 'alias', (args, kwargs))\n\n def cast(self, *args, **kwargs):\n return self._call(self._id, 'cast', (args, kwargs))\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n <function token>\n\n def __add__(self, *args, **kwargs):\n return self._call(self._id, '__add__', (args, kwargs))\n\n def __sub__(self, *args, **kwargs):\n return self._call(self._id, '__sub__', (args, kwargs))\n\n def __mul__(self, *args, **kwargs):\n return self._call(self._id, '__mul__', (args, kwargs))\n\n def __div__(self, *args, **kwargs):\n return self._call(self._id, '__div__', (args, kwargs))\n\n def __truediv__(self, *args, **kwargs):\n return self._call(self._id, '__truediv__', (args, kwargs))\n\n def __mod__(self, *args, **kwargs):\n return self._call(self._id, '__mod__', (args, kwargs))\n\n def __radd__(self, *args, **kwargs):\n return self._call(self._id, '__radd__', (args, kwargs))\n\n def __rsub__(self, *args, **kwargs):\n return self._call(self._id, '__rsub__', (args, kwargs))\n\n def __rmul__(self, *args, **kwargs):\n return self._call(self._id, '__rmul__', (args, kwargs))\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n\n def __rpow__(self, *args, **kwargs):\n return self._call(self._id, '__rpow__', (args, kwargs))\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n\n def __ne__(self, *args, **kwargs):\n return self._call(self._id, '__ne__', (args, kwargs))\n <function token>\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n\n def __ge__(self, *args, **kwargs):\n return self._call(self._id, '__ge__', (args, kwargs))\n\n def __gt__(self, *args, **kwargs):\n return self._call(self._id, '__gt__', (args, kwargs))\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n\n def __invert__(self, *args, **kwargs):\n return self._call(self._id, '__invert__', (args, kwargs))\n\n def __rand__(self, *args, **kwargs):\n return self._call(self._id, '__rand__', (args, kwargs))\n\n def __ror__(self, *args, **kwargs):\n return self._call(self._id, '__ror__', (args, kwargs))\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n\n def cast(self, *args, **kwargs):\n return self._call(self._id, 'cast', (args, kwargs))\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n <function token>\n\n def __add__(self, *args, **kwargs):\n return self._call(self._id, '__add__', (args, kwargs))\n\n def __sub__(self, *args, **kwargs):\n return self._call(self._id, '__sub__', (args, kwargs))\n\n def __mul__(self, *args, **kwargs):\n return self._call(self._id, '__mul__', (args, kwargs))\n\n def __div__(self, *args, **kwargs):\n return self._call(self._id, '__div__', (args, kwargs))\n\n def __truediv__(self, *args, **kwargs):\n return self._call(self._id, '__truediv__', (args, kwargs))\n\n def __mod__(self, *args, **kwargs):\n return self._call(self._id, '__mod__', (args, kwargs))\n\n def __radd__(self, *args, **kwargs):\n return self._call(self._id, '__radd__', (args, kwargs))\n\n def __rsub__(self, *args, **kwargs):\n return self._call(self._id, '__rsub__', (args, kwargs))\n\n def __rmul__(self, *args, **kwargs):\n return self._call(self._id, '__rmul__', (args, kwargs))\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n\n def __rpow__(self, *args, **kwargs):\n return self._call(self._id, '__rpow__', (args, kwargs))\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n\n def __ne__(self, *args, **kwargs):\n return self._call(self._id, '__ne__', (args, kwargs))\n <function token>\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n\n def __ge__(self, *args, **kwargs):\n return self._call(self._id, '__ge__', (args, kwargs))\n\n def __gt__(self, *args, **kwargs):\n return self._call(self._id, '__gt__', (args, kwargs))\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n\n def __invert__(self, *args, **kwargs):\n return self._call(self._id, '__invert__', (args, kwargs))\n\n def __rand__(self, *args, **kwargs):\n return self._call(self._id, '__rand__', (args, kwargs))\n\n def __ror__(self, *args, **kwargs):\n return self._call(self._id, '__ror__', (args, kwargs))\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n\n def cast(self, *args, **kwargs):\n return self._call(self._id, 'cast', (args, kwargs))\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n <function token>\n\n def __add__(self, *args, **kwargs):\n return self._call(self._id, '__add__', (args, kwargs))\n\n def __sub__(self, *args, **kwargs):\n return self._call(self._id, '__sub__', (args, kwargs))\n\n def __mul__(self, *args, **kwargs):\n return self._call(self._id, '__mul__', (args, kwargs))\n <function token>\n\n def __truediv__(self, *args, **kwargs):\n return self._call(self._id, '__truediv__', (args, kwargs))\n\n def __mod__(self, *args, **kwargs):\n return self._call(self._id, '__mod__', (args, kwargs))\n\n def __radd__(self, *args, **kwargs):\n return self._call(self._id, '__radd__', (args, kwargs))\n\n def __rsub__(self, *args, **kwargs):\n return self._call(self._id, '__rsub__', (args, kwargs))\n\n def __rmul__(self, *args, **kwargs):\n return self._call(self._id, '__rmul__', (args, kwargs))\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n\n def __rpow__(self, *args, **kwargs):\n return self._call(self._id, '__rpow__', (args, kwargs))\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n\n def __ne__(self, *args, **kwargs):\n return self._call(self._id, '__ne__', (args, kwargs))\n <function token>\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n\n def __ge__(self, *args, **kwargs):\n return self._call(self._id, '__ge__', (args, kwargs))\n\n def __gt__(self, *args, **kwargs):\n return self._call(self._id, '__gt__', (args, kwargs))\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n\n def __invert__(self, *args, **kwargs):\n return self._call(self._id, '__invert__', (args, kwargs))\n\n def __rand__(self, *args, **kwargs):\n return self._call(self._id, '__rand__', (args, kwargs))\n\n def __ror__(self, *args, **kwargs):\n return self._call(self._id, '__ror__', (args, kwargs))\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n\n def cast(self, *args, **kwargs):\n return self._call(self._id, 'cast', (args, kwargs))\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n <function token>\n\n def __add__(self, *args, **kwargs):\n return self._call(self._id, '__add__', (args, kwargs))\n\n def __sub__(self, *args, **kwargs):\n return self._call(self._id, '__sub__', (args, kwargs))\n\n def __mul__(self, *args, **kwargs):\n return self._call(self._id, '__mul__', (args, kwargs))\n <function token>\n\n def __truediv__(self, *args, **kwargs):\n return self._call(self._id, '__truediv__', (args, kwargs))\n\n def __mod__(self, *args, **kwargs):\n return self._call(self._id, '__mod__', (args, kwargs))\n\n def __radd__(self, *args, **kwargs):\n return self._call(self._id, '__radd__', (args, kwargs))\n\n def __rsub__(self, *args, **kwargs):\n return self._call(self._id, '__rsub__', (args, kwargs))\n\n def __rmul__(self, *args, **kwargs):\n return self._call(self._id, '__rmul__', (args, kwargs))\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n\n def __rpow__(self, *args, **kwargs):\n return self._call(self._id, '__rpow__', (args, kwargs))\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n\n def __ne__(self, *args, **kwargs):\n return self._call(self._id, '__ne__', (args, kwargs))\n <function token>\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n\n def __ge__(self, *args, **kwargs):\n return self._call(self._id, '__ge__', (args, kwargs))\n\n def __gt__(self, *args, **kwargs):\n return self._call(self._id, '__gt__', (args, kwargs))\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n\n def __invert__(self, *args, **kwargs):\n return self._call(self._id, '__invert__', (args, kwargs))\n\n def __rand__(self, *args, **kwargs):\n return self._call(self._id, '__rand__', (args, kwargs))\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n\n def cast(self, *args, **kwargs):\n return self._call(self._id, 'cast', (args, kwargs))\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n <function token>\n <function token>\n\n def __sub__(self, *args, **kwargs):\n return self._call(self._id, '__sub__', (args, kwargs))\n\n def __mul__(self, *args, **kwargs):\n return self._call(self._id, '__mul__', (args, kwargs))\n <function token>\n\n def __truediv__(self, *args, **kwargs):\n return self._call(self._id, '__truediv__', (args, kwargs))\n\n def __mod__(self, *args, **kwargs):\n return self._call(self._id, '__mod__', (args, kwargs))\n\n def __radd__(self, *args, **kwargs):\n return self._call(self._id, '__radd__', (args, kwargs))\n\n def __rsub__(self, *args, **kwargs):\n return self._call(self._id, '__rsub__', (args, kwargs))\n\n def __rmul__(self, *args, **kwargs):\n return self._call(self._id, '__rmul__', (args, kwargs))\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n\n def __rpow__(self, *args, **kwargs):\n return self._call(self._id, '__rpow__', (args, kwargs))\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n\n def __ne__(self, *args, **kwargs):\n return self._call(self._id, '__ne__', (args, kwargs))\n <function token>\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n\n def __ge__(self, *args, **kwargs):\n return self._call(self._id, '__ge__', (args, kwargs))\n\n def __gt__(self, *args, **kwargs):\n return self._call(self._id, '__gt__', (args, kwargs))\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n\n def __invert__(self, *args, **kwargs):\n return self._call(self._id, '__invert__', (args, kwargs))\n\n def __rand__(self, *args, **kwargs):\n return self._call(self._id, '__rand__', (args, kwargs))\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n\n def cast(self, *args, **kwargs):\n return self._call(self._id, 'cast', (args, kwargs))\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n <function token>\n <function token>\n\n def __sub__(self, *args, **kwargs):\n return self._call(self._id, '__sub__', (args, kwargs))\n\n def __mul__(self, *args, **kwargs):\n return self._call(self._id, '__mul__', (args, kwargs))\n <function token>\n\n def __truediv__(self, *args, **kwargs):\n return self._call(self._id, '__truediv__', (args, kwargs))\n\n def __mod__(self, *args, **kwargs):\n return self._call(self._id, '__mod__', (args, kwargs))\n\n def __radd__(self, *args, **kwargs):\n return self._call(self._id, '__radd__', (args, kwargs))\n\n def __rsub__(self, *args, **kwargs):\n return self._call(self._id, '__rsub__', (args, kwargs))\n\n def __rmul__(self, *args, **kwargs):\n return self._call(self._id, '__rmul__', (args, kwargs))\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n <function token>\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n\n def __ne__(self, *args, **kwargs):\n return self._call(self._id, '__ne__', (args, kwargs))\n <function token>\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n\n def __ge__(self, *args, **kwargs):\n return self._call(self._id, '__ge__', (args, kwargs))\n\n def __gt__(self, *args, **kwargs):\n return self._call(self._id, '__gt__', (args, kwargs))\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n\n def __invert__(self, *args, **kwargs):\n return self._call(self._id, '__invert__', (args, kwargs))\n\n def __rand__(self, *args, **kwargs):\n return self._call(self._id, '__rand__', (args, kwargs))\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n\n def cast(self, *args, **kwargs):\n return self._call(self._id, 'cast', (args, kwargs))\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n <function token>\n <function token>\n\n def __sub__(self, *args, **kwargs):\n return self._call(self._id, '__sub__', (args, kwargs))\n <function token>\n <function token>\n\n def __truediv__(self, *args, **kwargs):\n return self._call(self._id, '__truediv__', (args, kwargs))\n\n def __mod__(self, *args, **kwargs):\n return self._call(self._id, '__mod__', (args, kwargs))\n\n def __radd__(self, *args, **kwargs):\n return self._call(self._id, '__radd__', (args, kwargs))\n\n def __rsub__(self, *args, **kwargs):\n return self._call(self._id, '__rsub__', (args, kwargs))\n\n def __rmul__(self, *args, **kwargs):\n return self._call(self._id, '__rmul__', (args, kwargs))\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n <function token>\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n\n def __ne__(self, *args, **kwargs):\n return self._call(self._id, '__ne__', (args, kwargs))\n <function token>\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n\n def __ge__(self, *args, **kwargs):\n return self._call(self._id, '__ge__', (args, kwargs))\n\n def __gt__(self, *args, **kwargs):\n return self._call(self._id, '__gt__', (args, kwargs))\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n\n def __invert__(self, *args, **kwargs):\n return self._call(self._id, '__invert__', (args, kwargs))\n\n def __rand__(self, *args, **kwargs):\n return self._call(self._id, '__rand__', (args, kwargs))\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n <function token>\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n <function token>\n <function token>\n\n def __sub__(self, *args, **kwargs):\n return self._call(self._id, '__sub__', (args, kwargs))\n <function token>\n <function token>\n\n def __truediv__(self, *args, **kwargs):\n return self._call(self._id, '__truediv__', (args, kwargs))\n\n def __mod__(self, *args, **kwargs):\n return self._call(self._id, '__mod__', (args, kwargs))\n\n def __radd__(self, *args, **kwargs):\n return self._call(self._id, '__radd__', (args, kwargs))\n\n def __rsub__(self, *args, **kwargs):\n return self._call(self._id, '__rsub__', (args, kwargs))\n\n def __rmul__(self, *args, **kwargs):\n return self._call(self._id, '__rmul__', (args, kwargs))\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n <function token>\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n\n def __ne__(self, *args, **kwargs):\n return self._call(self._id, '__ne__', (args, kwargs))\n <function token>\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n\n def __ge__(self, *args, **kwargs):\n return self._call(self._id, '__ge__', (args, kwargs))\n\n def __gt__(self, *args, **kwargs):\n return self._call(self._id, '__gt__', (args, kwargs))\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n\n def __invert__(self, *args, **kwargs):\n return self._call(self._id, '__invert__', (args, kwargs))\n\n def __rand__(self, *args, **kwargs):\n return self._call(self._id, '__rand__', (args, kwargs))\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n <function token>\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n <function token>\n <function token>\n\n def __sub__(self, *args, **kwargs):\n return self._call(self._id, '__sub__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n\n def __mod__(self, *args, **kwargs):\n return self._call(self._id, '__mod__', (args, kwargs))\n\n def __radd__(self, *args, **kwargs):\n return self._call(self._id, '__radd__', (args, kwargs))\n\n def __rsub__(self, *args, **kwargs):\n return self._call(self._id, '__rsub__', (args, kwargs))\n\n def __rmul__(self, *args, **kwargs):\n return self._call(self._id, '__rmul__', (args, kwargs))\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n <function token>\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n\n def __ne__(self, *args, **kwargs):\n return self._call(self._id, '__ne__', (args, kwargs))\n <function token>\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n\n def __ge__(self, *args, **kwargs):\n return self._call(self._id, '__ge__', (args, kwargs))\n\n def __gt__(self, *args, **kwargs):\n return self._call(self._id, '__gt__', (args, kwargs))\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n\n def __invert__(self, *args, **kwargs):\n return self._call(self._id, '__invert__', (args, kwargs))\n\n def __rand__(self, *args, **kwargs):\n return self._call(self._id, '__rand__', (args, kwargs))\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n <function token>\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n <function token>\n <function token>\n\n def __sub__(self, *args, **kwargs):\n return self._call(self._id, '__sub__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n\n def __mod__(self, *args, **kwargs):\n return self._call(self._id, '__mod__', (args, kwargs))\n\n def __radd__(self, *args, **kwargs):\n return self._call(self._id, '__radd__', (args, kwargs))\n\n def __rsub__(self, *args, **kwargs):\n return self._call(self._id, '__rsub__', (args, kwargs))\n\n def __rmul__(self, *args, **kwargs):\n return self._call(self._id, '__rmul__', (args, kwargs))\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n <function token>\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n <function token>\n <function token>\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n\n def __ge__(self, *args, **kwargs):\n return self._call(self._id, '__ge__', (args, kwargs))\n\n def __gt__(self, *args, **kwargs):\n return self._call(self._id, '__gt__', (args, kwargs))\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n\n def __invert__(self, *args, **kwargs):\n return self._call(self._id, '__invert__', (args, kwargs))\n\n def __rand__(self, *args, **kwargs):\n return self._call(self._id, '__rand__', (args, kwargs))\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n <function token>\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n <function token>\n <function token>\n\n def __sub__(self, *args, **kwargs):\n return self._call(self._id, '__sub__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n\n def __mod__(self, *args, **kwargs):\n return self._call(self._id, '__mod__', (args, kwargs))\n\n def __radd__(self, *args, **kwargs):\n return self._call(self._id, '__radd__', (args, kwargs))\n\n def __rsub__(self, *args, **kwargs):\n return self._call(self._id, '__rsub__', (args, kwargs))\n\n def __rmul__(self, *args, **kwargs):\n return self._call(self._id, '__rmul__', (args, kwargs))\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n <function token>\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n <function token>\n <function token>\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n\n def __ge__(self, *args, **kwargs):\n return self._call(self._id, '__ge__', (args, kwargs))\n <function token>\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n\n def __invert__(self, *args, **kwargs):\n return self._call(self._id, '__invert__', (args, kwargs))\n\n def __rand__(self, *args, **kwargs):\n return self._call(self._id, '__rand__', (args, kwargs))\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n <function token>\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n <function token>\n <function token>\n\n def __sub__(self, *args, **kwargs):\n return self._call(self._id, '__sub__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n\n def __mod__(self, *args, **kwargs):\n return self._call(self._id, '__mod__', (args, kwargs))\n\n def __radd__(self, *args, **kwargs):\n return self._call(self._id, '__radd__', (args, kwargs))\n <function token>\n\n def __rmul__(self, *args, **kwargs):\n return self._call(self._id, '__rmul__', (args, kwargs))\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n <function token>\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n <function token>\n <function token>\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n\n def __ge__(self, *args, **kwargs):\n return self._call(self._id, '__ge__', (args, kwargs))\n <function token>\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n\n def __invert__(self, *args, **kwargs):\n return self._call(self._id, '__invert__', (args, kwargs))\n\n def __rand__(self, *args, **kwargs):\n return self._call(self._id, '__rand__', (args, kwargs))\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n <function token>\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n <function token>\n <function token>\n\n def __sub__(self, *args, **kwargs):\n return self._call(self._id, '__sub__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n\n def __mod__(self, *args, **kwargs):\n return self._call(self._id, '__mod__', (args, kwargs))\n\n def __radd__(self, *args, **kwargs):\n return self._call(self._id, '__radd__', (args, kwargs))\n <function token>\n <function token>\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n <function token>\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n <function token>\n <function token>\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n\n def __ge__(self, *args, **kwargs):\n return self._call(self._id, '__ge__', (args, kwargs))\n <function token>\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n\n def __invert__(self, *args, **kwargs):\n return self._call(self._id, '__invert__', (args, kwargs))\n\n def __rand__(self, *args, **kwargs):\n return self._call(self._id, '__rand__', (args, kwargs))\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n <function token>\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n <function token>\n <function token>\n\n def __sub__(self, *args, **kwargs):\n return self._call(self._id, '__sub__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n\n def __mod__(self, *args, **kwargs):\n return self._call(self._id, '__mod__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n <function token>\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n <function token>\n <function token>\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n\n def __ge__(self, *args, **kwargs):\n return self._call(self._id, '__ge__', (args, kwargs))\n <function token>\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n\n def __invert__(self, *args, **kwargs):\n return self._call(self._id, '__invert__', (args, kwargs))\n\n def __rand__(self, *args, **kwargs):\n return self._call(self._id, '__rand__', (args, kwargs))\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n <function token>\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __mod__(self, *args, **kwargs):\n return self._call(self._id, '__mod__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n <function token>\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n <function token>\n <function token>\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n\n def __ge__(self, *args, **kwargs):\n return self._call(self._id, '__ge__', (args, kwargs))\n <function token>\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n\n def __invert__(self, *args, **kwargs):\n return self._call(self._id, '__invert__', (args, kwargs))\n\n def __rand__(self, *args, **kwargs):\n return self._call(self._id, '__rand__', (args, kwargs))\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n <function token>\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __mod__(self, *args, **kwargs):\n return self._call(self._id, '__mod__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n <function token>\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n <function token>\n <function token>\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n\n def __ge__(self, *args, **kwargs):\n return self._call(self._id, '__ge__', (args, kwargs))\n <function token>\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n <function token>\n\n def __rand__(self, *args, **kwargs):\n return self._call(self._id, '__rand__', (args, kwargs))\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n <function token>\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __mod__(self, *args, **kwargs):\n return self._call(self._id, '__mod__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n <function token>\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n <function token>\n <function token>\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n\n def __ge__(self, *args, **kwargs):\n return self._call(self._id, '__ge__', (args, kwargs))\n <function token>\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n <function token>\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __mod__(self, *args, **kwargs):\n return self._call(self._id, '__mod__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n <function token>\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n <function token>\n <function token>\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n <function token>\n <function token>\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n <function token>\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n <function token>\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n <function token>\n <function token>\n\n def __le__(self, *args, **kwargs):\n return self._call(self._id, '__le__', (args, kwargs))\n <function token>\n <function token>\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n <function token>\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n <function token>\n\n def __eq__(self, *args, **kwargs):\n return self._call(self._id, '__eq__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n <function token>\n\n def __repr__(self):\n return self._call(self._id, '__repr__', ((), {}))\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __rdiv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __and__(self, *args, **kwargs):\n return self._call(self._id, '__and__', (args, kwargs))\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __or__(self, *args, **kwargs):\n return self._call(self._id, '__or__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n\n def __pow__(self, *args, **kwargs):\n return self._call(self._id, '__pow__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __rtruediv__(self, *args, **kwargs):\n return self._call(self._id, '__rdiv__', (args, kwargs))\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __rmod__(self, *args, **kwargs):\n return self._call(self._id, '__rmod__', (args, kwargs))\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n", "<import token>\n<assignment token>\n\n\nclass Column(Proxy):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n", "<import token>\n<assignment token>\n<class token>\n" ]
false
98,636
3063038ee8287aee7be4f6567cbc6152f8d2e5cf
import unittest import json import sys import os from lib.Inventory import Inventory inventory_file = 'json/inventory.json' out_inventory_file = '' expected_inventory_list = { "iron_plate": 40, "iron_gear": 5, "copper_plate": 20, "copper_cable": 10, "lubricant": 100 } class TestInventory(unittest.TestCase): def setUp(self): self.inventory = Inventory(inventory_file, out_inventory_file, False) def test_load_inventory(self): self.assertTrue(inventory_file.endswith(".json") or inventory_file.endswith(".JSON")) self.assertTrue(os.path.isfile(inventory_file)) self.assertEqual(self.inventory.load_inventory(inventory_file), expected_inventory_list) def test_add_item(self): self.assertFalse(self.inventory.add_item("iron_abc", "abc")) self.assertTrue(self.inventory.add_item("iron_gear", 1)) self.assertEqual(self.inventory.get_item_quantity("iron_gear"), 6) def test_remove_item(self): self.assertTrue(self.inventory.remove_item("iron_gear", 1)) self.assertFalse(self.inventory.remove_item("iron_gear", 10)) self.assertFalse(self.inventory.remove_item("iron_iron", 1)) self.assertEqual(self.inventory.get_item_quantity("iron_gear"), 4) def test_set_item_quantity(self): self.assertTrue(self.inventory.set_item_quantity("iron_gear", 1)) self.assertTrue(self.inventory.set_item_quantity("iron_gear", 10)) self.assertFalse(self.inventory.set_item_quantity("iron_abc", "abc")) self.assertEqual(self.inventory.get_item_quantity("iron_gear"), 10) def test_get_item_quantity(self): self.assertEqual(self.inventory.get_item_quantity("iron_gear"), 5) self.assertEqual(self.inventory.get_item_quantity("iron_abc"), 0) def test_check_item(self): self.assertTrue(self.inventory.check_item("iron_gear", 1)) self.assertFalse(self.inventory.check_item("iron_gear", 10)) self.assertFalse(self.inventory.check_item("iron_iron", 1))
[ "import unittest\nimport json\nimport sys\nimport os\nfrom lib.Inventory import Inventory\n\ninventory_file = 'json/inventory.json'\nout_inventory_file = ''\nexpected_inventory_list = {\n \"iron_plate\": 40,\n \"iron_gear\": 5,\n \"copper_plate\": 20,\n \"copper_cable\": 10,\n \"lubricant\": 100\n}\n\nclass TestInventory(unittest.TestCase):\n\n def setUp(self):\n self.inventory = Inventory(inventory_file, out_inventory_file, False)\n\n def test_load_inventory(self):\n self.assertTrue(inventory_file.endswith(\".json\") or inventory_file.endswith(\".JSON\"))\n self.assertTrue(os.path.isfile(inventory_file))\n self.assertEqual(self.inventory.load_inventory(inventory_file), expected_inventory_list)\n\n def test_add_item(self):\n self.assertFalse(self.inventory.add_item(\"iron_abc\", \"abc\"))\n self.assertTrue(self.inventory.add_item(\"iron_gear\", 1))\n self.assertEqual(self.inventory.get_item_quantity(\"iron_gear\"), 6)\n\n def test_remove_item(self):\n self.assertTrue(self.inventory.remove_item(\"iron_gear\", 1))\n self.assertFalse(self.inventory.remove_item(\"iron_gear\", 10))\n self.assertFalse(self.inventory.remove_item(\"iron_iron\", 1))\n self.assertEqual(self.inventory.get_item_quantity(\"iron_gear\"), 4)\n\n def test_set_item_quantity(self):\n self.assertTrue(self.inventory.set_item_quantity(\"iron_gear\", 1))\n self.assertTrue(self.inventory.set_item_quantity(\"iron_gear\", 10))\n self.assertFalse(self.inventory.set_item_quantity(\"iron_abc\", \"abc\"))\n self.assertEqual(self.inventory.get_item_quantity(\"iron_gear\"), 10)\n\n def test_get_item_quantity(self):\n self.assertEqual(self.inventory.get_item_quantity(\"iron_gear\"), 5)\n self.assertEqual(self.inventory.get_item_quantity(\"iron_abc\"), 0)\n\n def test_check_item(self):\n self.assertTrue(self.inventory.check_item(\"iron_gear\", 1))\n self.assertFalse(self.inventory.check_item(\"iron_gear\", 10))\n self.assertFalse(self.inventory.check_item(\"iron_iron\", 1))\n", "import unittest\nimport json\nimport sys\nimport os\nfrom lib.Inventory import Inventory\ninventory_file = 'json/inventory.json'\nout_inventory_file = ''\nexpected_inventory_list = {'iron_plate': 40, 'iron_gear': 5, 'copper_plate':\n 20, 'copper_cable': 10, 'lubricant': 100}\n\n\nclass TestInventory(unittest.TestCase):\n\n def setUp(self):\n self.inventory = Inventory(inventory_file, out_inventory_file, False)\n\n def test_load_inventory(self):\n self.assertTrue(inventory_file.endswith('.json') or inventory_file.\n endswith('.JSON'))\n self.assertTrue(os.path.isfile(inventory_file))\n self.assertEqual(self.inventory.load_inventory(inventory_file),\n expected_inventory_list)\n\n def test_add_item(self):\n self.assertFalse(self.inventory.add_item('iron_abc', 'abc'))\n self.assertTrue(self.inventory.add_item('iron_gear', 1))\n self.assertEqual(self.inventory.get_item_quantity('iron_gear'), 6)\n\n def test_remove_item(self):\n self.assertTrue(self.inventory.remove_item('iron_gear', 1))\n self.assertFalse(self.inventory.remove_item('iron_gear', 10))\n self.assertFalse(self.inventory.remove_item('iron_iron', 1))\n self.assertEqual(self.inventory.get_item_quantity('iron_gear'), 4)\n\n def test_set_item_quantity(self):\n self.assertTrue(self.inventory.set_item_quantity('iron_gear', 1))\n self.assertTrue(self.inventory.set_item_quantity('iron_gear', 10))\n self.assertFalse(self.inventory.set_item_quantity('iron_abc', 'abc'))\n self.assertEqual(self.inventory.get_item_quantity('iron_gear'), 10)\n\n def test_get_item_quantity(self):\n self.assertEqual(self.inventory.get_item_quantity('iron_gear'), 5)\n self.assertEqual(self.inventory.get_item_quantity('iron_abc'), 0)\n\n def test_check_item(self):\n self.assertTrue(self.inventory.check_item('iron_gear', 1))\n self.assertFalse(self.inventory.check_item('iron_gear', 10))\n self.assertFalse(self.inventory.check_item('iron_iron', 1))\n", "<import token>\ninventory_file = 'json/inventory.json'\nout_inventory_file = ''\nexpected_inventory_list = {'iron_plate': 40, 'iron_gear': 5, 'copper_plate':\n 20, 'copper_cable': 10, 'lubricant': 100}\n\n\nclass TestInventory(unittest.TestCase):\n\n def setUp(self):\n self.inventory = Inventory(inventory_file, out_inventory_file, False)\n\n def test_load_inventory(self):\n self.assertTrue(inventory_file.endswith('.json') or inventory_file.\n endswith('.JSON'))\n self.assertTrue(os.path.isfile(inventory_file))\n self.assertEqual(self.inventory.load_inventory(inventory_file),\n expected_inventory_list)\n\n def test_add_item(self):\n self.assertFalse(self.inventory.add_item('iron_abc', 'abc'))\n self.assertTrue(self.inventory.add_item('iron_gear', 1))\n self.assertEqual(self.inventory.get_item_quantity('iron_gear'), 6)\n\n def test_remove_item(self):\n self.assertTrue(self.inventory.remove_item('iron_gear', 1))\n self.assertFalse(self.inventory.remove_item('iron_gear', 10))\n self.assertFalse(self.inventory.remove_item('iron_iron', 1))\n self.assertEqual(self.inventory.get_item_quantity('iron_gear'), 4)\n\n def test_set_item_quantity(self):\n self.assertTrue(self.inventory.set_item_quantity('iron_gear', 1))\n self.assertTrue(self.inventory.set_item_quantity('iron_gear', 10))\n self.assertFalse(self.inventory.set_item_quantity('iron_abc', 'abc'))\n self.assertEqual(self.inventory.get_item_quantity('iron_gear'), 10)\n\n def test_get_item_quantity(self):\n self.assertEqual(self.inventory.get_item_quantity('iron_gear'), 5)\n self.assertEqual(self.inventory.get_item_quantity('iron_abc'), 0)\n\n def test_check_item(self):\n self.assertTrue(self.inventory.check_item('iron_gear', 1))\n self.assertFalse(self.inventory.check_item('iron_gear', 10))\n self.assertFalse(self.inventory.check_item('iron_iron', 1))\n", "<import token>\n<assignment token>\n\n\nclass TestInventory(unittest.TestCase):\n\n def setUp(self):\n self.inventory = Inventory(inventory_file, out_inventory_file, False)\n\n def test_load_inventory(self):\n self.assertTrue(inventory_file.endswith('.json') or inventory_file.\n endswith('.JSON'))\n self.assertTrue(os.path.isfile(inventory_file))\n self.assertEqual(self.inventory.load_inventory(inventory_file),\n expected_inventory_list)\n\n def test_add_item(self):\n self.assertFalse(self.inventory.add_item('iron_abc', 'abc'))\n self.assertTrue(self.inventory.add_item('iron_gear', 1))\n self.assertEqual(self.inventory.get_item_quantity('iron_gear'), 6)\n\n def test_remove_item(self):\n self.assertTrue(self.inventory.remove_item('iron_gear', 1))\n self.assertFalse(self.inventory.remove_item('iron_gear', 10))\n self.assertFalse(self.inventory.remove_item('iron_iron', 1))\n self.assertEqual(self.inventory.get_item_quantity('iron_gear'), 4)\n\n def test_set_item_quantity(self):\n self.assertTrue(self.inventory.set_item_quantity('iron_gear', 1))\n self.assertTrue(self.inventory.set_item_quantity('iron_gear', 10))\n self.assertFalse(self.inventory.set_item_quantity('iron_abc', 'abc'))\n self.assertEqual(self.inventory.get_item_quantity('iron_gear'), 10)\n\n def test_get_item_quantity(self):\n self.assertEqual(self.inventory.get_item_quantity('iron_gear'), 5)\n self.assertEqual(self.inventory.get_item_quantity('iron_abc'), 0)\n\n def test_check_item(self):\n self.assertTrue(self.inventory.check_item('iron_gear', 1))\n self.assertFalse(self.inventory.check_item('iron_gear', 10))\n self.assertFalse(self.inventory.check_item('iron_iron', 1))\n", "<import token>\n<assignment token>\n\n\nclass TestInventory(unittest.TestCase):\n\n def setUp(self):\n self.inventory = Inventory(inventory_file, out_inventory_file, False)\n\n def test_load_inventory(self):\n self.assertTrue(inventory_file.endswith('.json') or inventory_file.\n endswith('.JSON'))\n self.assertTrue(os.path.isfile(inventory_file))\n self.assertEqual(self.inventory.load_inventory(inventory_file),\n expected_inventory_list)\n\n def test_add_item(self):\n self.assertFalse(self.inventory.add_item('iron_abc', 'abc'))\n self.assertTrue(self.inventory.add_item('iron_gear', 1))\n self.assertEqual(self.inventory.get_item_quantity('iron_gear'), 6)\n\n def test_remove_item(self):\n self.assertTrue(self.inventory.remove_item('iron_gear', 1))\n self.assertFalse(self.inventory.remove_item('iron_gear', 10))\n self.assertFalse(self.inventory.remove_item('iron_iron', 1))\n self.assertEqual(self.inventory.get_item_quantity('iron_gear'), 4)\n\n def test_set_item_quantity(self):\n self.assertTrue(self.inventory.set_item_quantity('iron_gear', 1))\n self.assertTrue(self.inventory.set_item_quantity('iron_gear', 10))\n self.assertFalse(self.inventory.set_item_quantity('iron_abc', 'abc'))\n self.assertEqual(self.inventory.get_item_quantity('iron_gear'), 10)\n <function token>\n\n def test_check_item(self):\n self.assertTrue(self.inventory.check_item('iron_gear', 1))\n self.assertFalse(self.inventory.check_item('iron_gear', 10))\n self.assertFalse(self.inventory.check_item('iron_iron', 1))\n", "<import token>\n<assignment token>\n\n\nclass TestInventory(unittest.TestCase):\n\n def setUp(self):\n self.inventory = Inventory(inventory_file, out_inventory_file, False)\n\n def test_load_inventory(self):\n self.assertTrue(inventory_file.endswith('.json') or inventory_file.\n endswith('.JSON'))\n self.assertTrue(os.path.isfile(inventory_file))\n self.assertEqual(self.inventory.load_inventory(inventory_file),\n expected_inventory_list)\n\n def test_add_item(self):\n self.assertFalse(self.inventory.add_item('iron_abc', 'abc'))\n self.assertTrue(self.inventory.add_item('iron_gear', 1))\n self.assertEqual(self.inventory.get_item_quantity('iron_gear'), 6)\n\n def test_remove_item(self):\n self.assertTrue(self.inventory.remove_item('iron_gear', 1))\n self.assertFalse(self.inventory.remove_item('iron_gear', 10))\n self.assertFalse(self.inventory.remove_item('iron_iron', 1))\n self.assertEqual(self.inventory.get_item_quantity('iron_gear'), 4)\n <function token>\n <function token>\n\n def test_check_item(self):\n self.assertTrue(self.inventory.check_item('iron_gear', 1))\n self.assertFalse(self.inventory.check_item('iron_gear', 10))\n self.assertFalse(self.inventory.check_item('iron_iron', 1))\n", "<import token>\n<assignment token>\n\n\nclass TestInventory(unittest.TestCase):\n\n def setUp(self):\n self.inventory = Inventory(inventory_file, out_inventory_file, False)\n\n def test_load_inventory(self):\n self.assertTrue(inventory_file.endswith('.json') or inventory_file.\n endswith('.JSON'))\n self.assertTrue(os.path.isfile(inventory_file))\n self.assertEqual(self.inventory.load_inventory(inventory_file),\n expected_inventory_list)\n <function token>\n\n def test_remove_item(self):\n self.assertTrue(self.inventory.remove_item('iron_gear', 1))\n self.assertFalse(self.inventory.remove_item('iron_gear', 10))\n self.assertFalse(self.inventory.remove_item('iron_iron', 1))\n self.assertEqual(self.inventory.get_item_quantity('iron_gear'), 4)\n <function token>\n <function token>\n\n def test_check_item(self):\n self.assertTrue(self.inventory.check_item('iron_gear', 1))\n self.assertFalse(self.inventory.check_item('iron_gear', 10))\n self.assertFalse(self.inventory.check_item('iron_iron', 1))\n", "<import token>\n<assignment token>\n\n\nclass TestInventory(unittest.TestCase):\n\n def setUp(self):\n self.inventory = Inventory(inventory_file, out_inventory_file, False)\n <function token>\n <function token>\n\n def test_remove_item(self):\n self.assertTrue(self.inventory.remove_item('iron_gear', 1))\n self.assertFalse(self.inventory.remove_item('iron_gear', 10))\n self.assertFalse(self.inventory.remove_item('iron_iron', 1))\n self.assertEqual(self.inventory.get_item_quantity('iron_gear'), 4)\n <function token>\n <function token>\n\n def test_check_item(self):\n self.assertTrue(self.inventory.check_item('iron_gear', 1))\n self.assertFalse(self.inventory.check_item('iron_gear', 10))\n self.assertFalse(self.inventory.check_item('iron_iron', 1))\n", "<import token>\n<assignment token>\n\n\nclass TestInventory(unittest.TestCase):\n\n def setUp(self):\n self.inventory = Inventory(inventory_file, out_inventory_file, False)\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def test_check_item(self):\n self.assertTrue(self.inventory.check_item('iron_gear', 1))\n self.assertFalse(self.inventory.check_item('iron_gear', 10))\n self.assertFalse(self.inventory.check_item('iron_iron', 1))\n", "<import token>\n<assignment token>\n\n\nclass TestInventory(unittest.TestCase):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def test_check_item(self):\n self.assertTrue(self.inventory.check_item('iron_gear', 1))\n self.assertFalse(self.inventory.check_item('iron_gear', 10))\n self.assertFalse(self.inventory.check_item('iron_iron', 1))\n", "<import token>\n<assignment token>\n\n\nclass TestInventory(unittest.TestCase):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n", "<import token>\n<assignment token>\n<class token>\n" ]
false
98,637
ba826457d6cbe5c876fa5af57677a187cf1c48de
X, Y, Z = map(int, input().split()) s = X - (X//(Y+Z))*(Y+Z) print(X//(Y+Z) if s >= Z else X//(Y+Z)-1)
[ "X, Y, Z = map(int, input().split())\ns = X - (X//(Y+Z))*(Y+Z)\nprint(X//(Y+Z) if s >= Z else X//(Y+Z)-1)", "X, Y, Z = map(int, input().split())\ns = X - X // (Y + Z) * (Y + Z)\nprint(X // (Y + Z) if s >= Z else X // (Y + Z) - 1)\n", "<assignment token>\nprint(X // (Y + Z) if s >= Z else X // (Y + Z) - 1)\n", "<assignment token>\n<code token>\n" ]
false
98,638
41e4d9b8629e5a2e671a1e74e5eadb1550f96da0
import collections file = open("input.txt","r") r = [int(x) for x in file.read().split('-')] passwords, count = [], 0 for i in range(r[0], r[1]+1): i = str(i) n, prev = 1, i[0] consecutive, adjacent = False, True for j in range(1,6): if i[j] == prev: consecutive = True if prev > i[j]: adjacent = False break prev = i[j] if consecutive and adjacent: passwords.append(i) for p in passwords: if(2 in collections.Counter(p).values()): count += 1 print(count)
[ "import collections\n\nfile = open(\"input.txt\",\"r\")\nr = [int(x) for x in file.read().split('-')]\npasswords, count = [], 0\n\nfor i in range(r[0], r[1]+1):\n i = str(i)\n n, prev = 1, i[0]\n consecutive, adjacent = False, True\n\n for j in range(1,6):\n if i[j] == prev:\n consecutive = True\n if prev > i[j]:\n adjacent = False\n break\n prev = i[j]\n if consecutive and adjacent:\n passwords.append(i)\n\nfor p in passwords:\n if(2 in collections.Counter(p).values()):\n count += 1\n\nprint(count)", "import collections\nfile = open('input.txt', 'r')\nr = [int(x) for x in file.read().split('-')]\npasswords, count = [], 0\nfor i in range(r[0], r[1] + 1):\n i = str(i)\n n, prev = 1, i[0]\n consecutive, adjacent = False, True\n for j in range(1, 6):\n if i[j] == prev:\n consecutive = True\n if prev > i[j]:\n adjacent = False\n break\n prev = i[j]\n if consecutive and adjacent:\n passwords.append(i)\nfor p in passwords:\n if 2 in collections.Counter(p).values():\n count += 1\nprint(count)\n", "<import token>\nfile = open('input.txt', 'r')\nr = [int(x) for x in file.read().split('-')]\npasswords, count = [], 0\nfor i in range(r[0], r[1] + 1):\n i = str(i)\n n, prev = 1, i[0]\n consecutive, adjacent = False, True\n for j in range(1, 6):\n if i[j] == prev:\n consecutive = True\n if prev > i[j]:\n adjacent = False\n break\n prev = i[j]\n if consecutive and adjacent:\n passwords.append(i)\nfor p in passwords:\n if 2 in collections.Counter(p).values():\n count += 1\nprint(count)\n", "<import token>\n<assignment token>\nfor i in range(r[0], r[1] + 1):\n i = str(i)\n n, prev = 1, i[0]\n consecutive, adjacent = False, True\n for j in range(1, 6):\n if i[j] == prev:\n consecutive = True\n if prev > i[j]:\n adjacent = False\n break\n prev = i[j]\n if consecutive and adjacent:\n passwords.append(i)\nfor p in passwords:\n if 2 in collections.Counter(p).values():\n count += 1\nprint(count)\n", "<import token>\n<assignment token>\n<code token>\n" ]
false
98,639
b35b4d23f4e6e750e5cda8a306cef8dba207d36b
# Generated by Django 2.2 on 2020-02-26 17:38 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('main_app', '0001_initial'), ] operations = [ migrations.RemoveField( model_name='trail', name='stars', ), migrations.RemoveField( model_name='user', name='description', ), migrations.RemoveField( model_name='user', name='is_admin', ), ]
[ "# Generated by Django 2.2 on 2020-02-26 17:38\n\nfrom django.db import migrations\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('main_app', '0001_initial'),\n ]\n\n operations = [\n migrations.RemoveField(\n model_name='trail',\n name='stars',\n ),\n migrations.RemoveField(\n model_name='user',\n name='description',\n ),\n migrations.RemoveField(\n model_name='user',\n name='is_admin',\n ),\n ]\n", "from django.db import migrations\n\n\nclass Migration(migrations.Migration):\n dependencies = [('main_app', '0001_initial')]\n operations = [migrations.RemoveField(model_name='trail', name='stars'),\n migrations.RemoveField(model_name='user', name='description'),\n migrations.RemoveField(model_name='user', name='is_admin')]\n", "<import token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('main_app', '0001_initial')]\n operations = [migrations.RemoveField(model_name='trail', name='stars'),\n migrations.RemoveField(model_name='user', name='description'),\n migrations.RemoveField(model_name='user', name='is_admin')]\n", "<import token>\n\n\nclass Migration(migrations.Migration):\n <assignment token>\n <assignment token>\n", "<import token>\n<class token>\n" ]
false
98,640
e11af6b1704985f78f392a47f03de6b45ed9bb8c
from src import balancer from src.logger import Logger from src.db_instances import DBInstance # enable debugging Logger.debug = True # create our balancers object myBalancer = balancer.Balancer( ) # create our database instances instance1 = DBInstance('127.0.0.1', 'root', '' ) instance2 = DBInstance('192.168.1.27', 'boni', '', 'store') # Add our instances to the balancer myBalancer.add_db_instance( instance1 ) myBalancer.add_db_instance( instance2 ) # Connect to all instances # NB: ->>>>Fails if one of them cannot be connected to ->>> Not implemented for now myBalancer.connect_all() # Get any failed connections print myBalancer.get_total_failed_connections() # Go ahead and select one instance to use in the next connection # NB: Returns instance object-> instance = myBalancer.choose_instance( ) print instance.to_string() # close all connections myBalancer.disconnect_all()
[ "from src import balancer\nfrom src.logger import Logger\nfrom src.db_instances import DBInstance\n\n# enable debugging \nLogger.debug = True \n\n# create our balancers object \nmyBalancer = balancer.Balancer( )\n\n# create our database instances\ninstance1 = DBInstance('127.0.0.1', 'root', '' )\ninstance2 = DBInstance('192.168.1.27', 'boni', '', 'store')\n\n# Add our instances to the balancer \nmyBalancer.add_db_instance( instance1 )\nmyBalancer.add_db_instance( instance2 )\n\n# Connect to all instances \n# NB: ->>>>Fails if one of them cannot be connected to ->>> Not implemented for now \nmyBalancer.connect_all()\n\n# Get any failed connections \nprint myBalancer.get_total_failed_connections()\n\n# Go ahead and select one instance to use in the next connection\n# NB: Returns instance object->\ninstance = myBalancer.choose_instance( )\nprint instance.to_string()\n\n# close all connections \nmyBalancer.disconnect_all()" ]
true
98,641
55186fd54a290d058e6a9fd96c8c378aeb110a1f
#!/usr/bin/env python """ @package mi.core.instrument.data_particle_generator Base data particle generator @file mi/core/instrument/data_particle_generator.py @author Steve Foley @brief Contains logic to generate data particles to be exchanged between the driver and agent. This involves a JSON interchange format """ import time import ntplib import base64 import json from mi.core.common import BaseEnum from mi.core.exceptions import SampleException, ReadOnlyException, NotImplementedException, InstrumentParameterException from mi.core.log import get_logger log = get_logger() __author__ = 'Steve Foley' __license__ = 'Apache 2.0' class CommonDataParticleType(BaseEnum): """ This enum defines all the common particle types defined in the modules. Currently there is only one, but by using an enum here we have the opportunity to define more common data particles. """ RAW = "raw" class DataParticleKey(BaseEnum): PKT_FORMAT_ID = "pkt_format_id" PKT_VERSION = "pkt_version" STREAM_NAME = "stream_name" INTERNAL_TIMESTAMP = "internal_timestamp" PORT_TIMESTAMP = "port_timestamp" DRIVER_TIMESTAMP = "driver_timestamp" PREFERRED_TIMESTAMP = "preferred_timestamp" QUALITY_FLAG = "quality_flag" VALUES = "values" VALUE_ID = "value_id" VALUE = "value" BINARY = "binary" NEW_SEQUENCE = "new_sequence" class DataParticleValue(BaseEnum): JSON_DATA = "JSON_Data" ENG = "eng" OK = "ok" CHECKSUM_FAILED = "checksum_failed" OUT_OF_RANGE = "out_of_range" INVALID = "invalid" QUESTIONABLE = "questionable" class DataParticle(object): """ This class is responsible for storing and ultimately generating data particles in the designated format from the associated inputs. It fills in fields as necessary, and is a valid Data Particle that can be sent up to the InstrumentAgent. It is the intent that this class is subclassed as needed if an instrument must modify fields in the outgoing packet. The hope is to have most of the superclass code be called by the child class with just values overridden as needed. """ # data particle type is intended to be defined in each derived data particle class. This value should be unique # for all data particles. Best practice is to access this variable using the accessor method: # data_particle_type() _data_particle_type = None def __init__(self, raw_data, port_timestamp=None, internal_timestamp=None, preferred_timestamp=None, quality_flag=DataParticleValue.OK, new_sequence=None): """ Build a particle seeded with appropriate information @param raw_data The raw data used in the particle """ if new_sequence is not None and not isinstance(new_sequence, bool): raise TypeError("new_sequence is not a bool") self.contents = { DataParticleKey.PKT_FORMAT_ID: DataParticleValue.JSON_DATA, DataParticleKey.PKT_VERSION: 1, DataParticleKey.PORT_TIMESTAMP: port_timestamp, DataParticleKey.INTERNAL_TIMESTAMP: internal_timestamp, DataParticleKey.DRIVER_TIMESTAMP: ntplib.system_to_ntp_time(time.time()), DataParticleKey.PREFERRED_TIMESTAMP: preferred_timestamp, DataParticleKey.QUALITY_FLAG: quality_flag, } self._encoding_errors = [] if new_sequence is not None: self.contents[DataParticleKey.NEW_SEQUENCE] = new_sequence self.raw_data = raw_data self._values = None def __eq__(self, arg): """ Quick equality check for testing purposes. If they have the same raw data, timestamp, they are the same enough for this particle """ allowed_diff = .000001 if self._data_particle_type != arg._data_particle_type: log.debug('Data particle type does not match: %s %s', self._data_particle_type, arg._data_particle_type) return False if self.raw_data != arg.raw_data: log.debug('Raw data does not match') return False t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP] t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP] if (t1 is None) or (t2 is None): tdiff = allowed_diff else: tdiff = abs(t1 - t2) if tdiff > allowed_diff: log.debug('Timestamp %s does not match %s', t1, t2) return False generated1 = json.loads(self.generate()) generated2 = json.loads(arg.generate()) missing, differing = self._compare(generated1, generated2, ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.PREFERRED_TIMESTAMP]) if missing: log.error('Key mismatch between particle dictionaries: %r', missing) return False if differing: log.error('Value mismatch between particle dictionaries: %r', differing) return True @staticmethod def _compare(d1, d2, ignore_keys=None): ignore_keys = ignore_keys if ignore_keys else [] missing = set(d1).symmetric_difference(d2) differing = {} for k in d1: if k in ignore_keys or k in missing: continue if d1[k] != d2[k]: differing[k] = (d1[k], d2[k]) return missing, differing def set_internal_timestamp(self, timestamp=None, unix_time=None): """ Set the internal timestamp @param timestamp: NTP timestamp to set @param unit_time: Unix time as returned from time.time() @raise InstrumentParameterException if timestamp or unix_time not supplied """ if timestamp is None and unix_time is None: raise InstrumentParameterException("timestamp or unix_time required") if unix_time is not None: timestamp = ntplib.system_to_ntp_time(unix_time) # Do we want this to happen here or in down stream processes? # if(not self._check_timestamp(timestamp)): # raise InstrumentParameterException("invalid timestamp") self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp) def set_port_timestamp(self, timestamp=None, unix_time=None): """ Set the port timestamp @param timestamp: NTP timestamp to set @param unix_time: Unix time as returned from time.time() @raise InstrumentParameterException if timestamp or unix_time not supplied """ if timestamp is None and unix_time is None: raise InstrumentParameterException("timestamp or unix_time required") if unix_time is not None: timestamp = ntplib.system_to_ntp_time(unix_time) # Do we want this to happen here or in down stream processes? if not self._check_timestamp(timestamp): raise InstrumentParameterException("invalid timestamp") self.contents[DataParticleKey.PORT_TIMESTAMP] = float(timestamp) def set_value(self, id, value): """ Set a content value, restricted as necessary @param id The ID of the value to set, should be from DataParticleKey @param value The value to set @raises ReadOnlyException If the parameter cannot be set """ if (id == DataParticleKey.INTERNAL_TIMESTAMP) and (self._check_timestamp(value)): self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = value else: raise ReadOnlyException("Parameter %s not able to be set to %s after object creation!" % (id, value)) def get_value(self, id): """ Return a stored value from contents @param id The ID (from DataParticleKey) for the parameter to return @raises NotImplementedException If there is an invalid id """ if DataParticleKey.has(id): return self.contents[id] else: raise NotImplementedException("Value %s not available in particle!", id) def get_value_from_values(self, value_id): """ Return a stored value from values list @param value_id The ID of the parameter to return """ if not self._values: return None values = [i for i in self._values if i[DataParticleKey.VALUE_ID] == value_id] if not values: return None return values[0][DataParticleKey.VALUE] def data_particle_type(self): """ Return the data particle type (aka stream name) @raise: NotImplementedException if _data_particle_type is not set """ if self._data_particle_type is None: raise NotImplementedException("_data_particle_type not initialized") return self._data_particle_type def generate_dict(self): """ Generate a simple dictionary of sensor data and timestamps, without going to JSON. This is useful for the times when JSON is not needed to go across an interface. There are times when particles are used internally to a component/process/module/etc. @retval A python dictionary with the proper timestamps and data values @throws InstrumentDriverException if there is a problem wtih the inputs """ # verify preferred timestamp exists in the structure... if not self._check_preferred_timestamps(): raise SampleException("Preferred timestamp not in particle!") # build response structure self._encoding_errors = [] if self._values is None: self._values = self._build_parsed_values() result = self._build_base_structure() result[DataParticleKey.STREAM_NAME] = self.data_particle_type() result[DataParticleKey.VALUES] = self._values return result def generate(self, sorted=False): """ Generates a JSON_parsed packet from a sample dictionary of sensor data and associates a timestamp with it @param sorted Returned sorted json dict, useful for testing, but slow, so dont do it unless it is important @return A JSON_raw string, properly structured with port agent time stamp and driver timestamp @throws InstrumentDriverException If there is a problem with the inputs """ json_result = json.dumps(self.generate_dict(), sort_keys=sorted) return json_result def _build_parsed_values(self): """ Build values of a parsed structure. Just the values are built so so that a child class can override this class, but call it with super() to get the base structure before modification @return the values tag for this data structure ready to JSONify @raises SampleException when parsed values can not be properly returned """ raise SampleException("Parsed values block not overridden") def _build_base_structure(self): """ Build the base/header information for an output structure. Follow on methods can then modify it by adding or editing values. @return A fresh copy of a core structure to be exported """ result = dict(self.contents) # clean out optional fields that were missing if not self.contents[DataParticleKey.PORT_TIMESTAMP]: del result[DataParticleKey.PORT_TIMESTAMP] if not self.contents[DataParticleKey.INTERNAL_TIMESTAMP]: del result[DataParticleKey.INTERNAL_TIMESTAMP] return result def _check_timestamp(self, timestamp): """ Check to make sure the timestamp is reasonable @param timestamp An NTP4 formatted timestamp (64bit) @return True if timestamp is okay or None, False otherwise """ if timestamp is None: return True if not isinstance(timestamp, float): return False # is it sufficiently in the future to be unreasonable? if timestamp > ntplib.system_to_ntp_time(time.time() + (86400 * 365)): return False else: return True def _check_preferred_timestamps(self): """ Check to make sure the preferred timestamp indicated in the particle is actually listed, possibly adjusting to 2nd best if not there. @throws SampleException When there is a problem with the preferred timestamp in the sample. """ if self.contents[DataParticleKey.PREFERRED_TIMESTAMP] is None: raise SampleException("Missing preferred timestamp, %s, in particle" % self.contents[DataParticleKey.PREFERRED_TIMESTAMP]) # This should be handled downstream. Don't want to not publish data because # the port agent stopped putting out timestamps # if self.contents[self.contents[DataParticleKey.PREFERRED_TIMESTAMP]] == None: # raise SampleException("Preferred timestamp, %s, is not defined" % # self.contents[DataParticleKey.PREFERRED_TIMESTAMP]) return True def _encode_value(self, name, value, encoding_function, value_range=None): """ Encode a value using the encoding function, if it fails store the error in a queue :param value_range tuple containing min/max numerical values or min/max lengths """ encoded_val = None # noinspection PyBroadException # - custom encoding_function exceptions are not known a priori try: encoded_val = encoding_function(value) except ValueError as e: log.error('Unable to convert %s to %s.', encoded_val, encoding_function) self._encoding_errors.append({name: value}) except Exception as e: log.error('Data particle error encoding. Name: %s Value: %s, Encoding: %s', name, value, encoding_function) self._encoding_errors.append({name: value}) # optional range checking if value_range: try: vmin, vmax = value_range except ValueError as e: # this only occurs as a programming error and should cause the parser to exit log.exception('_encode_value must have exactly two values for tuple argument value_range') raise ValueError(e) if encoding_function in [int, float]: if vmin and encoded_val < vmin: log.error('Particle value (%s) below minimum threshold (%s < %s)', name, value, vmin) self._encoding_errors.append({name: value}) elif vmax and encoded_val > vmax: log.error('Particle value (%s) exceeds maximum threshold (%s > %s)', name, value, vmax) self._encoding_errors.append({name: value}) elif hasattr(encoded_val, '__len__'): try: if vmin and len(encoded_val) < vmin: log.error('Particle value (%s) length below minimum threshold (%s < %s)', name, value, vmin) self._encoding_errors.append({name: value}) elif vmax and len(encoded_val) > vmax: log.error('Particle value (%s) length exceeds maximum threshold (%s > %s)', name, value, vmax) self._encoding_errors.append({name: value}) # in the unlikely event that a range was specified and the encoding object created a bogus len() # we'll just ignore the range check except TypeError: log.warning('_encode_value received an encoding function (%s) that claimed to implement len() but ' 'does not. Unable to apply range test to %s', encoding_function, name) return {DataParticleKey.VALUE_ID: name, DataParticleKey.VALUE: encoded_val} def get_encoding_errors(self): """ Return the encoding errors list """ return self._encoding_errors class RawDataParticleKey(BaseEnum): PAYLOAD = "raw" LENGTH = "length" TYPE = "type" CHECKSUM = "checksum" class RawDataParticle(DataParticle): """ This class a common data particle for generating data particles of raw data. It essentially is a translation of the port agent packet """ _data_particle_type = CommonDataParticleType.RAW def _build_parsed_values(self): """ Build a particle out of a port agent packet. @returns A list that is ready to be added to the "values" tag before the structure is JSONified """ port_agent_packet = self.raw_data if not isinstance(port_agent_packet, dict): raise SampleException("raw data not a dictionary") for param in ["raw", "length", "type", "checksum"]: if param not in port_agent_packet: raise SampleException("raw data not a complete port agent packet. missing %s" % param) payload = None length = None type = None checksum = None # Attempt to convert values try: payload = base64.b64encode(port_agent_packet.get("raw")) except TypeError: pass try: length = int(port_agent_packet.get("length")) except TypeError: pass try: type = int(port_agent_packet.get("type")) except TypeError: pass try: checksum = int(port_agent_packet.get("checksum")) except TypeError: pass result = [{ DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD, DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True}, { DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH, DataParticleKey.VALUE: length}, { DataParticleKey.VALUE_ID: RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, { DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM, DataParticleKey.VALUE: checksum}, ] return result
[ "#!/usr/bin/env python\n\n\"\"\"\n@package mi.core.instrument.data_particle_generator Base data particle generator\n@file mi/core/instrument/data_particle_generator.py\n@author Steve Foley\n@brief Contains logic to generate data particles to be exchanged between\nthe driver and agent. This involves a JSON interchange format\n\"\"\"\n\nimport time\nimport ntplib\nimport base64\nimport json\n\nfrom mi.core.common import BaseEnum\nfrom mi.core.exceptions import SampleException, ReadOnlyException, NotImplementedException, InstrumentParameterException\nfrom mi.core.log import get_logger\n\nlog = get_logger()\n\n__author__ = 'Steve Foley'\n__license__ = 'Apache 2.0'\n\n\nclass CommonDataParticleType(BaseEnum):\n \"\"\"\n This enum defines all the common particle types defined in the modules. Currently there is only one, but by\n using an enum here we have the opportunity to define more common data particles.\n \"\"\"\n RAW = \"raw\"\n\n\nclass DataParticleKey(BaseEnum):\n PKT_FORMAT_ID = \"pkt_format_id\"\n PKT_VERSION = \"pkt_version\"\n STREAM_NAME = \"stream_name\"\n INTERNAL_TIMESTAMP = \"internal_timestamp\"\n PORT_TIMESTAMP = \"port_timestamp\"\n DRIVER_TIMESTAMP = \"driver_timestamp\"\n PREFERRED_TIMESTAMP = \"preferred_timestamp\"\n QUALITY_FLAG = \"quality_flag\"\n VALUES = \"values\"\n VALUE_ID = \"value_id\"\n VALUE = \"value\"\n BINARY = \"binary\"\n NEW_SEQUENCE = \"new_sequence\"\n\n\nclass DataParticleValue(BaseEnum):\n JSON_DATA = \"JSON_Data\"\n ENG = \"eng\"\n OK = \"ok\"\n CHECKSUM_FAILED = \"checksum_failed\"\n OUT_OF_RANGE = \"out_of_range\"\n INVALID = \"invalid\"\n QUESTIONABLE = \"questionable\"\n\n\nclass DataParticle(object):\n \"\"\"\n This class is responsible for storing and ultimately generating data\n particles in the designated format from the associated inputs. It\n fills in fields as necessary, and is a valid Data Particle\n that can be sent up to the InstrumentAgent.\n\n It is the intent that this class is subclassed as needed if an instrument must\n modify fields in the outgoing packet. The hope is to have most of the superclass\n code be called by the child class with just values overridden as needed.\n \"\"\"\n\n # data particle type is intended to be defined in each derived data particle class. This value should be unique\n # for all data particles. Best practice is to access this variable using the accessor method:\n # data_particle_type()\n _data_particle_type = None\n\n def __init__(self, raw_data,\n port_timestamp=None,\n internal_timestamp=None,\n preferred_timestamp=None,\n quality_flag=DataParticleValue.OK,\n new_sequence=None):\n \"\"\" Build a particle seeded with appropriate information\n\n @param raw_data The raw data used in the particle\n \"\"\"\n if new_sequence is not None and not isinstance(new_sequence, bool):\n raise TypeError(\"new_sequence is not a bool\")\n\n self.contents = {\n DataParticleKey.PKT_FORMAT_ID: DataParticleValue.JSON_DATA,\n DataParticleKey.PKT_VERSION: 1,\n DataParticleKey.PORT_TIMESTAMP: port_timestamp,\n DataParticleKey.INTERNAL_TIMESTAMP: internal_timestamp,\n DataParticleKey.DRIVER_TIMESTAMP: ntplib.system_to_ntp_time(time.time()),\n DataParticleKey.PREFERRED_TIMESTAMP: preferred_timestamp,\n DataParticleKey.QUALITY_FLAG: quality_flag,\n }\n self._encoding_errors = []\n if new_sequence is not None:\n self.contents[DataParticleKey.NEW_SEQUENCE] = new_sequence\n\n self.raw_data = raw_data\n self._values = None\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = .000001\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self._data_particle_type, arg._data_particle_type)\n return False\n\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n\n if (t1 is None) or (t2 is None):\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2, ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP,\n DataParticleKey.PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing)\n return False\n\n if differing:\n log.error('Value mismatch between particle dictionaries: %r', differing)\n\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = (d1[k], d2[k])\n\n return missing, differing\n\n def set_internal_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the internal timestamp\n @param timestamp: NTP timestamp to set\n @param unit_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\"timestamp or unix_time required\")\n\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n\n # Do we want this to happen here or in down stream processes?\n # if(not self._check_timestamp(timestamp)):\n # raise InstrumentParameterException(\"invalid timestamp\")\n\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp)\n\n def set_port_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the port timestamp\n @param timestamp: NTP timestamp to set\n @param unix_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\"timestamp or unix_time required\")\n\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n\n # Do we want this to happen here or in down stream processes?\n if not self._check_timestamp(timestamp):\n raise InstrumentParameterException(\"invalid timestamp\")\n\n self.contents[DataParticleKey.PORT_TIMESTAMP] = float(timestamp)\n\n def set_value(self, id, value):\n \"\"\"\n Set a content value, restricted as necessary\n\n @param id The ID of the value to set, should be from DataParticleKey\n @param value The value to set\n @raises ReadOnlyException If the parameter cannot be set\n \"\"\"\n if (id == DataParticleKey.INTERNAL_TIMESTAMP) and (self._check_timestamp(value)):\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = value\n else:\n raise ReadOnlyException(\"Parameter %s not able to be set to %s after object creation!\" %\n (id, value))\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException(\"Value %s not available in particle!\", id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] == value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n\n\n def data_particle_type(self):\n \"\"\"\n Return the data particle type (aka stream name)\n @raise: NotImplementedException if _data_particle_type is not set\n \"\"\"\n if self._data_particle_type is None:\n raise NotImplementedException(\"_data_particle_type not initialized\")\n\n return self._data_particle_type\n\n def generate_dict(self):\n \"\"\"\n Generate a simple dictionary of sensor data and timestamps, without\n going to JSON. This is useful for the times when JSON is not needed to\n go across an interface. There are times when particles are used\n internally to a component/process/module/etc.\n @retval A python dictionary with the proper timestamps and data values\n @throws InstrumentDriverException if there is a problem wtih the inputs\n \"\"\"\n # verify preferred timestamp exists in the structure...\n if not self._check_preferred_timestamps():\n raise SampleException(\"Preferred timestamp not in particle!\")\n\n # build response structure\n self._encoding_errors = []\n if self._values is None:\n self._values = self._build_parsed_values()\n result = self._build_base_structure()\n result[DataParticleKey.STREAM_NAME] = self.data_particle_type()\n result[DataParticleKey.VALUES] = self._values\n\n return result\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n\n def _build_parsed_values(self):\n \"\"\"\n Build values of a parsed structure. Just the values are built so\n so that a child class can override this class, but call it with\n super() to get the base structure before modification\n\n @return the values tag for this data structure ready to JSONify\n @raises SampleException when parsed values can not be properly returned\n \"\"\"\n raise SampleException(\"Parsed values block not overridden\")\n\n def _build_base_structure(self):\n \"\"\"\n Build the base/header information for an output structure.\n Follow on methods can then modify it by adding or editing values.\n\n @return A fresh copy of a core structure to be exported\n \"\"\"\n result = dict(self.contents)\n # clean out optional fields that were missing\n if not self.contents[DataParticleKey.PORT_TIMESTAMP]:\n del result[DataParticleKey.PORT_TIMESTAMP]\n if not self.contents[DataParticleKey.INTERNAL_TIMESTAMP]:\n del result[DataParticleKey.INTERNAL_TIMESTAMP]\n return result\n\n def _check_timestamp(self, timestamp):\n \"\"\"\n Check to make sure the timestamp is reasonable\n\n @param timestamp An NTP4 formatted timestamp (64bit)\n @return True if timestamp is okay or None, False otherwise\n \"\"\"\n if timestamp is None:\n return True\n if not isinstance(timestamp, float):\n return False\n\n # is it sufficiently in the future to be unreasonable?\n if timestamp > ntplib.system_to_ntp_time(time.time() + (86400 * 365)):\n return False\n else:\n return True\n\n def _check_preferred_timestamps(self):\n \"\"\"\n Check to make sure the preferred timestamp indicated in the\n particle is actually listed, possibly adjusting to 2nd best\n if not there.\n\n @throws SampleException When there is a problem with the preferred\n timestamp in the sample.\n \"\"\"\n if self.contents[DataParticleKey.PREFERRED_TIMESTAMP] is None:\n raise SampleException(\"Missing preferred timestamp, %s, in particle\" %\n self.contents[DataParticleKey.PREFERRED_TIMESTAMP])\n\n # This should be handled downstream. Don't want to not publish data because\n # the port agent stopped putting out timestamps\n # if self.contents[self.contents[DataParticleKey.PREFERRED_TIMESTAMP]] == None:\n # raise SampleException(\"Preferred timestamp, %s, is not defined\" %\n # self.contents[DataParticleKey.PREFERRED_TIMESTAMP])\n\n return True\n\n def _encode_value(self, name, value, encoding_function, value_range=None):\n \"\"\"\n Encode a value using the encoding function, if it fails store the error in a queue\n\n :param value_range tuple containing min/max numerical values or min/max lengths\n \"\"\"\n encoded_val = None\n\n # noinspection PyBroadException\n # - custom encoding_function exceptions are not known a priori\n try:\n encoded_val = encoding_function(value)\n\n except ValueError as e:\n log.error('Unable to convert %s to %s.', encoded_val, encoding_function)\n self._encoding_errors.append({name: value})\n except Exception as e:\n log.error('Data particle error encoding. Name: %s Value: %s, Encoding: %s', name, value, encoding_function)\n self._encoding_errors.append({name: value})\n\n # optional range checking\n if value_range:\n try:\n vmin, vmax = value_range\n\n except ValueError as e: # this only occurs as a programming error and should cause the parser to exit\n log.exception('_encode_value must have exactly two values for tuple argument value_range')\n raise ValueError(e)\n\n if encoding_function in [int, float]:\n if vmin and encoded_val < vmin:\n log.error('Particle value (%s) below minimum threshold (%s < %s)', name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and encoded_val > vmax:\n log.error('Particle value (%s) exceeds maximum threshold (%s > %s)', name, value, vmax)\n self._encoding_errors.append({name: value})\n elif hasattr(encoded_val, '__len__'):\n try:\n if vmin and len(encoded_val) < vmin:\n log.error('Particle value (%s) length below minimum threshold (%s < %s)',\n name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and len(encoded_val) > vmax:\n log.error('Particle value (%s) length exceeds maximum threshold (%s > %s)',\n name, value, vmax)\n self._encoding_errors.append({name: value})\n # in the unlikely event that a range was specified and the encoding object created a bogus len()\n # we'll just ignore the range check\n except TypeError:\n log.warning('_encode_value received an encoding function (%s) that claimed to implement len() but '\n 'does not. Unable to apply range test to %s', encoding_function, name)\n\n return {DataParticleKey.VALUE_ID: name,\n DataParticleKey.VALUE: encoded_val}\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = \"raw\"\n LENGTH = \"length\"\n TYPE = \"type\"\n CHECKSUM = \"checksum\"\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException(\"raw data not a dictionary\")\n\n for param in [\"raw\", \"length\", \"type\", \"checksum\"]:\n if param not in port_agent_packet:\n raise SampleException(\"raw data not a complete port agent packet. missing %s\" % param)\n\n payload = None\n length = None\n type = None\n checksum = None\n\n # Attempt to convert values\n try:\n payload = base64.b64encode(port_agent_packet.get(\"raw\"))\n except TypeError:\n pass\n\n try:\n length = int(port_agent_packet.get(\"length\"))\n except TypeError:\n pass\n\n try:\n type = int(port_agent_packet.get(\"type\"))\n except TypeError:\n pass\n\n try:\n checksum = int(port_agent_packet.get(\"checksum\"))\n except TypeError:\n pass\n\n result = [{\n DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload,\n DataParticleKey.BINARY: True},\n {\n DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length},\n {\n DataParticleKey.VALUE_ID: RawDataParticleKey.TYPE,\n DataParticleKey.VALUE: type},\n {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum},\n ]\n\n return result\n", "<docstring token>\nimport time\nimport ntplib\nimport base64\nimport json\nfrom mi.core.common import BaseEnum\nfrom mi.core.exceptions import SampleException, ReadOnlyException, NotImplementedException, InstrumentParameterException\nfrom mi.core.log import get_logger\nlog = get_logger()\n__author__ = 'Steve Foley'\n__license__ = 'Apache 2.0'\n\n\nclass CommonDataParticleType(BaseEnum):\n \"\"\"\n This enum defines all the common particle types defined in the modules. Currently there is only one, but by\n using an enum here we have the opportunity to define more common data particles.\n \"\"\"\n RAW = 'raw'\n\n\nclass DataParticleKey(BaseEnum):\n PKT_FORMAT_ID = 'pkt_format_id'\n PKT_VERSION = 'pkt_version'\n STREAM_NAME = 'stream_name'\n INTERNAL_TIMESTAMP = 'internal_timestamp'\n PORT_TIMESTAMP = 'port_timestamp'\n DRIVER_TIMESTAMP = 'driver_timestamp'\n PREFERRED_TIMESTAMP = 'preferred_timestamp'\n QUALITY_FLAG = 'quality_flag'\n VALUES = 'values'\n VALUE_ID = 'value_id'\n VALUE = 'value'\n BINARY = 'binary'\n NEW_SEQUENCE = 'new_sequence'\n\n\nclass DataParticleValue(BaseEnum):\n JSON_DATA = 'JSON_Data'\n ENG = 'eng'\n OK = 'ok'\n CHECKSUM_FAILED = 'checksum_failed'\n OUT_OF_RANGE = 'out_of_range'\n INVALID = 'invalid'\n QUESTIONABLE = 'questionable'\n\n\nclass DataParticle(object):\n \"\"\"\n This class is responsible for storing and ultimately generating data\n particles in the designated format from the associated inputs. It\n fills in fields as necessary, and is a valid Data Particle\n that can be sent up to the InstrumentAgent.\n\n It is the intent that this class is subclassed as needed if an instrument must\n modify fields in the outgoing packet. The hope is to have most of the superclass\n code be called by the child class with just values overridden as needed.\n \"\"\"\n _data_particle_type = None\n\n def __init__(self, raw_data, port_timestamp=None, internal_timestamp=\n None, preferred_timestamp=None, quality_flag=DataParticleValue.OK,\n new_sequence=None):\n \"\"\" Build a particle seeded with appropriate information\n\n @param raw_data The raw data used in the particle\n \"\"\"\n if new_sequence is not None and not isinstance(new_sequence, bool):\n raise TypeError('new_sequence is not a bool')\n self.contents = {DataParticleKey.PKT_FORMAT_ID: DataParticleValue.\n JSON_DATA, DataParticleKey.PKT_VERSION: 1, DataParticleKey.\n PORT_TIMESTAMP: port_timestamp, DataParticleKey.\n INTERNAL_TIMESTAMP: internal_timestamp, DataParticleKey.\n DRIVER_TIMESTAMP: ntplib.system_to_ntp_time(time.time()),\n DataParticleKey.PREFERRED_TIMESTAMP: preferred_timestamp,\n DataParticleKey.QUALITY_FLAG: quality_flag}\n self._encoding_errors = []\n if new_sequence is not None:\n self.contents[DataParticleKey.NEW_SEQUENCE] = new_sequence\n self.raw_data = raw_data\n self._values = None\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n\n def set_internal_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the internal timestamp\n @param timestamp: NTP timestamp to set\n @param unit_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp)\n\n def set_port_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the port timestamp\n @param timestamp: NTP timestamp to set\n @param unix_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n if not self._check_timestamp(timestamp):\n raise InstrumentParameterException('invalid timestamp')\n self.contents[DataParticleKey.PORT_TIMESTAMP] = float(timestamp)\n\n def set_value(self, id, value):\n \"\"\"\n Set a content value, restricted as necessary\n\n @param id The ID of the value to set, should be from DataParticleKey\n @param value The value to set\n @raises ReadOnlyException If the parameter cannot be set\n \"\"\"\n if id == DataParticleKey.INTERNAL_TIMESTAMP and self._check_timestamp(\n value):\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = value\n else:\n raise ReadOnlyException(\n 'Parameter %s not able to be set to %s after object creation!'\n % (id, value))\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException('Value %s not available in particle!'\n , id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n\n def data_particle_type(self):\n \"\"\"\n Return the data particle type (aka stream name)\n @raise: NotImplementedException if _data_particle_type is not set\n \"\"\"\n if self._data_particle_type is None:\n raise NotImplementedException('_data_particle_type not initialized'\n )\n return self._data_particle_type\n\n def generate_dict(self):\n \"\"\"\n Generate a simple dictionary of sensor data and timestamps, without\n going to JSON. This is useful for the times when JSON is not needed to\n go across an interface. There are times when particles are used\n internally to a component/process/module/etc.\n @retval A python dictionary with the proper timestamps and data values\n @throws InstrumentDriverException if there is a problem wtih the inputs\n \"\"\"\n if not self._check_preferred_timestamps():\n raise SampleException('Preferred timestamp not in particle!')\n self._encoding_errors = []\n if self._values is None:\n self._values = self._build_parsed_values()\n result = self._build_base_structure()\n result[DataParticleKey.STREAM_NAME] = self.data_particle_type()\n result[DataParticleKey.VALUES] = self._values\n return result\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n\n def _build_parsed_values(self):\n \"\"\"\n Build values of a parsed structure. Just the values are built so\n so that a child class can override this class, but call it with\n super() to get the base structure before modification\n\n @return the values tag for this data structure ready to JSONify\n @raises SampleException when parsed values can not be properly returned\n \"\"\"\n raise SampleException('Parsed values block not overridden')\n\n def _build_base_structure(self):\n \"\"\"\n Build the base/header information for an output structure.\n Follow on methods can then modify it by adding or editing values.\n\n @return A fresh copy of a core structure to be exported\n \"\"\"\n result = dict(self.contents)\n if not self.contents[DataParticleKey.PORT_TIMESTAMP]:\n del result[DataParticleKey.PORT_TIMESTAMP]\n if not self.contents[DataParticleKey.INTERNAL_TIMESTAMP]:\n del result[DataParticleKey.INTERNAL_TIMESTAMP]\n return result\n\n def _check_timestamp(self, timestamp):\n \"\"\"\n Check to make sure the timestamp is reasonable\n\n @param timestamp An NTP4 formatted timestamp (64bit)\n @return True if timestamp is okay or None, False otherwise\n \"\"\"\n if timestamp is None:\n return True\n if not isinstance(timestamp, float):\n return False\n if timestamp > ntplib.system_to_ntp_time(time.time() + 86400 * 365):\n return False\n else:\n return True\n\n def _check_preferred_timestamps(self):\n \"\"\"\n Check to make sure the preferred timestamp indicated in the\n particle is actually listed, possibly adjusting to 2nd best\n if not there.\n\n @throws SampleException When there is a problem with the preferred\n timestamp in the sample.\n \"\"\"\n if self.contents[DataParticleKey.PREFERRED_TIMESTAMP] is None:\n raise SampleException(\n 'Missing preferred timestamp, %s, in particle' % self.\n contents[DataParticleKey.PREFERRED_TIMESTAMP])\n return True\n\n def _encode_value(self, name, value, encoding_function, value_range=None):\n \"\"\"\n Encode a value using the encoding function, if it fails store the error in a queue\n\n :param value_range tuple containing min/max numerical values or min/max lengths\n \"\"\"\n encoded_val = None\n try:\n encoded_val = encoding_function(value)\n except ValueError as e:\n log.error('Unable to convert %s to %s.', encoded_val,\n encoding_function)\n self._encoding_errors.append({name: value})\n except Exception as e:\n log.error(\n 'Data particle error encoding. Name: %s Value: %s, Encoding: %s'\n , name, value, encoding_function)\n self._encoding_errors.append({name: value})\n if value_range:\n try:\n vmin, vmax = value_range\n except ValueError as e:\n log.exception(\n '_encode_value must have exactly two values for tuple argument value_range'\n )\n raise ValueError(e)\n if encoding_function in [int, float]:\n if vmin and encoded_val < vmin:\n log.error(\n 'Particle value (%s) below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and encoded_val > vmax:\n log.error(\n 'Particle value (%s) exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n elif hasattr(encoded_val, '__len__'):\n try:\n if vmin and len(encoded_val) < vmin:\n log.error(\n 'Particle value (%s) length below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and len(encoded_val) > vmax:\n log.error(\n 'Particle value (%s) length exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n except TypeError:\n log.warning(\n '_encode_value received an encoding function (%s) that claimed to implement len() but does not. Unable to apply range test to %s'\n , encoding_function, name)\n return {DataParticleKey.VALUE_ID: name, DataParticleKey.VALUE:\n encoded_val}\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\nlog = get_logger()\n__author__ = 'Steve Foley'\n__license__ = 'Apache 2.0'\n\n\nclass CommonDataParticleType(BaseEnum):\n \"\"\"\n This enum defines all the common particle types defined in the modules. Currently there is only one, but by\n using an enum here we have the opportunity to define more common data particles.\n \"\"\"\n RAW = 'raw'\n\n\nclass DataParticleKey(BaseEnum):\n PKT_FORMAT_ID = 'pkt_format_id'\n PKT_VERSION = 'pkt_version'\n STREAM_NAME = 'stream_name'\n INTERNAL_TIMESTAMP = 'internal_timestamp'\n PORT_TIMESTAMP = 'port_timestamp'\n DRIVER_TIMESTAMP = 'driver_timestamp'\n PREFERRED_TIMESTAMP = 'preferred_timestamp'\n QUALITY_FLAG = 'quality_flag'\n VALUES = 'values'\n VALUE_ID = 'value_id'\n VALUE = 'value'\n BINARY = 'binary'\n NEW_SEQUENCE = 'new_sequence'\n\n\nclass DataParticleValue(BaseEnum):\n JSON_DATA = 'JSON_Data'\n ENG = 'eng'\n OK = 'ok'\n CHECKSUM_FAILED = 'checksum_failed'\n OUT_OF_RANGE = 'out_of_range'\n INVALID = 'invalid'\n QUESTIONABLE = 'questionable'\n\n\nclass DataParticle(object):\n \"\"\"\n This class is responsible for storing and ultimately generating data\n particles in the designated format from the associated inputs. It\n fills in fields as necessary, and is a valid Data Particle\n that can be sent up to the InstrumentAgent.\n\n It is the intent that this class is subclassed as needed if an instrument must\n modify fields in the outgoing packet. The hope is to have most of the superclass\n code be called by the child class with just values overridden as needed.\n \"\"\"\n _data_particle_type = None\n\n def __init__(self, raw_data, port_timestamp=None, internal_timestamp=\n None, preferred_timestamp=None, quality_flag=DataParticleValue.OK,\n new_sequence=None):\n \"\"\" Build a particle seeded with appropriate information\n\n @param raw_data The raw data used in the particle\n \"\"\"\n if new_sequence is not None and not isinstance(new_sequence, bool):\n raise TypeError('new_sequence is not a bool')\n self.contents = {DataParticleKey.PKT_FORMAT_ID: DataParticleValue.\n JSON_DATA, DataParticleKey.PKT_VERSION: 1, DataParticleKey.\n PORT_TIMESTAMP: port_timestamp, DataParticleKey.\n INTERNAL_TIMESTAMP: internal_timestamp, DataParticleKey.\n DRIVER_TIMESTAMP: ntplib.system_to_ntp_time(time.time()),\n DataParticleKey.PREFERRED_TIMESTAMP: preferred_timestamp,\n DataParticleKey.QUALITY_FLAG: quality_flag}\n self._encoding_errors = []\n if new_sequence is not None:\n self.contents[DataParticleKey.NEW_SEQUENCE] = new_sequence\n self.raw_data = raw_data\n self._values = None\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n\n def set_internal_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the internal timestamp\n @param timestamp: NTP timestamp to set\n @param unit_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp)\n\n def set_port_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the port timestamp\n @param timestamp: NTP timestamp to set\n @param unix_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n if not self._check_timestamp(timestamp):\n raise InstrumentParameterException('invalid timestamp')\n self.contents[DataParticleKey.PORT_TIMESTAMP] = float(timestamp)\n\n def set_value(self, id, value):\n \"\"\"\n Set a content value, restricted as necessary\n\n @param id The ID of the value to set, should be from DataParticleKey\n @param value The value to set\n @raises ReadOnlyException If the parameter cannot be set\n \"\"\"\n if id == DataParticleKey.INTERNAL_TIMESTAMP and self._check_timestamp(\n value):\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = value\n else:\n raise ReadOnlyException(\n 'Parameter %s not able to be set to %s after object creation!'\n % (id, value))\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException('Value %s not available in particle!'\n , id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n\n def data_particle_type(self):\n \"\"\"\n Return the data particle type (aka stream name)\n @raise: NotImplementedException if _data_particle_type is not set\n \"\"\"\n if self._data_particle_type is None:\n raise NotImplementedException('_data_particle_type not initialized'\n )\n return self._data_particle_type\n\n def generate_dict(self):\n \"\"\"\n Generate a simple dictionary of sensor data and timestamps, without\n going to JSON. This is useful for the times when JSON is not needed to\n go across an interface. There are times when particles are used\n internally to a component/process/module/etc.\n @retval A python dictionary with the proper timestamps and data values\n @throws InstrumentDriverException if there is a problem wtih the inputs\n \"\"\"\n if not self._check_preferred_timestamps():\n raise SampleException('Preferred timestamp not in particle!')\n self._encoding_errors = []\n if self._values is None:\n self._values = self._build_parsed_values()\n result = self._build_base_structure()\n result[DataParticleKey.STREAM_NAME] = self.data_particle_type()\n result[DataParticleKey.VALUES] = self._values\n return result\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n\n def _build_parsed_values(self):\n \"\"\"\n Build values of a parsed structure. Just the values are built so\n so that a child class can override this class, but call it with\n super() to get the base structure before modification\n\n @return the values tag for this data structure ready to JSONify\n @raises SampleException when parsed values can not be properly returned\n \"\"\"\n raise SampleException('Parsed values block not overridden')\n\n def _build_base_structure(self):\n \"\"\"\n Build the base/header information for an output structure.\n Follow on methods can then modify it by adding or editing values.\n\n @return A fresh copy of a core structure to be exported\n \"\"\"\n result = dict(self.contents)\n if not self.contents[DataParticleKey.PORT_TIMESTAMP]:\n del result[DataParticleKey.PORT_TIMESTAMP]\n if not self.contents[DataParticleKey.INTERNAL_TIMESTAMP]:\n del result[DataParticleKey.INTERNAL_TIMESTAMP]\n return result\n\n def _check_timestamp(self, timestamp):\n \"\"\"\n Check to make sure the timestamp is reasonable\n\n @param timestamp An NTP4 formatted timestamp (64bit)\n @return True if timestamp is okay or None, False otherwise\n \"\"\"\n if timestamp is None:\n return True\n if not isinstance(timestamp, float):\n return False\n if timestamp > ntplib.system_to_ntp_time(time.time() + 86400 * 365):\n return False\n else:\n return True\n\n def _check_preferred_timestamps(self):\n \"\"\"\n Check to make sure the preferred timestamp indicated in the\n particle is actually listed, possibly adjusting to 2nd best\n if not there.\n\n @throws SampleException When there is a problem with the preferred\n timestamp in the sample.\n \"\"\"\n if self.contents[DataParticleKey.PREFERRED_TIMESTAMP] is None:\n raise SampleException(\n 'Missing preferred timestamp, %s, in particle' % self.\n contents[DataParticleKey.PREFERRED_TIMESTAMP])\n return True\n\n def _encode_value(self, name, value, encoding_function, value_range=None):\n \"\"\"\n Encode a value using the encoding function, if it fails store the error in a queue\n\n :param value_range tuple containing min/max numerical values or min/max lengths\n \"\"\"\n encoded_val = None\n try:\n encoded_val = encoding_function(value)\n except ValueError as e:\n log.error('Unable to convert %s to %s.', encoded_val,\n encoding_function)\n self._encoding_errors.append({name: value})\n except Exception as e:\n log.error(\n 'Data particle error encoding. Name: %s Value: %s, Encoding: %s'\n , name, value, encoding_function)\n self._encoding_errors.append({name: value})\n if value_range:\n try:\n vmin, vmax = value_range\n except ValueError as e:\n log.exception(\n '_encode_value must have exactly two values for tuple argument value_range'\n )\n raise ValueError(e)\n if encoding_function in [int, float]:\n if vmin and encoded_val < vmin:\n log.error(\n 'Particle value (%s) below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and encoded_val > vmax:\n log.error(\n 'Particle value (%s) exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n elif hasattr(encoded_val, '__len__'):\n try:\n if vmin and len(encoded_val) < vmin:\n log.error(\n 'Particle value (%s) length below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and len(encoded_val) > vmax:\n log.error(\n 'Particle value (%s) length exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n except TypeError:\n log.warning(\n '_encode_value received an encoding function (%s) that claimed to implement len() but does not. Unable to apply range test to %s'\n , encoding_function, name)\n return {DataParticleKey.VALUE_ID: name, DataParticleKey.VALUE:\n encoded_val}\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n\n\nclass CommonDataParticleType(BaseEnum):\n \"\"\"\n This enum defines all the common particle types defined in the modules. Currently there is only one, but by\n using an enum here we have the opportunity to define more common data particles.\n \"\"\"\n RAW = 'raw'\n\n\nclass DataParticleKey(BaseEnum):\n PKT_FORMAT_ID = 'pkt_format_id'\n PKT_VERSION = 'pkt_version'\n STREAM_NAME = 'stream_name'\n INTERNAL_TIMESTAMP = 'internal_timestamp'\n PORT_TIMESTAMP = 'port_timestamp'\n DRIVER_TIMESTAMP = 'driver_timestamp'\n PREFERRED_TIMESTAMP = 'preferred_timestamp'\n QUALITY_FLAG = 'quality_flag'\n VALUES = 'values'\n VALUE_ID = 'value_id'\n VALUE = 'value'\n BINARY = 'binary'\n NEW_SEQUENCE = 'new_sequence'\n\n\nclass DataParticleValue(BaseEnum):\n JSON_DATA = 'JSON_Data'\n ENG = 'eng'\n OK = 'ok'\n CHECKSUM_FAILED = 'checksum_failed'\n OUT_OF_RANGE = 'out_of_range'\n INVALID = 'invalid'\n QUESTIONABLE = 'questionable'\n\n\nclass DataParticle(object):\n \"\"\"\n This class is responsible for storing and ultimately generating data\n particles in the designated format from the associated inputs. It\n fills in fields as necessary, and is a valid Data Particle\n that can be sent up to the InstrumentAgent.\n\n It is the intent that this class is subclassed as needed if an instrument must\n modify fields in the outgoing packet. The hope is to have most of the superclass\n code be called by the child class with just values overridden as needed.\n \"\"\"\n _data_particle_type = None\n\n def __init__(self, raw_data, port_timestamp=None, internal_timestamp=\n None, preferred_timestamp=None, quality_flag=DataParticleValue.OK,\n new_sequence=None):\n \"\"\" Build a particle seeded with appropriate information\n\n @param raw_data The raw data used in the particle\n \"\"\"\n if new_sequence is not None and not isinstance(new_sequence, bool):\n raise TypeError('new_sequence is not a bool')\n self.contents = {DataParticleKey.PKT_FORMAT_ID: DataParticleValue.\n JSON_DATA, DataParticleKey.PKT_VERSION: 1, DataParticleKey.\n PORT_TIMESTAMP: port_timestamp, DataParticleKey.\n INTERNAL_TIMESTAMP: internal_timestamp, DataParticleKey.\n DRIVER_TIMESTAMP: ntplib.system_to_ntp_time(time.time()),\n DataParticleKey.PREFERRED_TIMESTAMP: preferred_timestamp,\n DataParticleKey.QUALITY_FLAG: quality_flag}\n self._encoding_errors = []\n if new_sequence is not None:\n self.contents[DataParticleKey.NEW_SEQUENCE] = new_sequence\n self.raw_data = raw_data\n self._values = None\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n\n def set_internal_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the internal timestamp\n @param timestamp: NTP timestamp to set\n @param unit_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp)\n\n def set_port_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the port timestamp\n @param timestamp: NTP timestamp to set\n @param unix_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n if not self._check_timestamp(timestamp):\n raise InstrumentParameterException('invalid timestamp')\n self.contents[DataParticleKey.PORT_TIMESTAMP] = float(timestamp)\n\n def set_value(self, id, value):\n \"\"\"\n Set a content value, restricted as necessary\n\n @param id The ID of the value to set, should be from DataParticleKey\n @param value The value to set\n @raises ReadOnlyException If the parameter cannot be set\n \"\"\"\n if id == DataParticleKey.INTERNAL_TIMESTAMP and self._check_timestamp(\n value):\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = value\n else:\n raise ReadOnlyException(\n 'Parameter %s not able to be set to %s after object creation!'\n % (id, value))\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException('Value %s not available in particle!'\n , id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n\n def data_particle_type(self):\n \"\"\"\n Return the data particle type (aka stream name)\n @raise: NotImplementedException if _data_particle_type is not set\n \"\"\"\n if self._data_particle_type is None:\n raise NotImplementedException('_data_particle_type not initialized'\n )\n return self._data_particle_type\n\n def generate_dict(self):\n \"\"\"\n Generate a simple dictionary of sensor data and timestamps, without\n going to JSON. This is useful for the times when JSON is not needed to\n go across an interface. There are times when particles are used\n internally to a component/process/module/etc.\n @retval A python dictionary with the proper timestamps and data values\n @throws InstrumentDriverException if there is a problem wtih the inputs\n \"\"\"\n if not self._check_preferred_timestamps():\n raise SampleException('Preferred timestamp not in particle!')\n self._encoding_errors = []\n if self._values is None:\n self._values = self._build_parsed_values()\n result = self._build_base_structure()\n result[DataParticleKey.STREAM_NAME] = self.data_particle_type()\n result[DataParticleKey.VALUES] = self._values\n return result\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n\n def _build_parsed_values(self):\n \"\"\"\n Build values of a parsed structure. Just the values are built so\n so that a child class can override this class, but call it with\n super() to get the base structure before modification\n\n @return the values tag for this data structure ready to JSONify\n @raises SampleException when parsed values can not be properly returned\n \"\"\"\n raise SampleException('Parsed values block not overridden')\n\n def _build_base_structure(self):\n \"\"\"\n Build the base/header information for an output structure.\n Follow on methods can then modify it by adding or editing values.\n\n @return A fresh copy of a core structure to be exported\n \"\"\"\n result = dict(self.contents)\n if not self.contents[DataParticleKey.PORT_TIMESTAMP]:\n del result[DataParticleKey.PORT_TIMESTAMP]\n if not self.contents[DataParticleKey.INTERNAL_TIMESTAMP]:\n del result[DataParticleKey.INTERNAL_TIMESTAMP]\n return result\n\n def _check_timestamp(self, timestamp):\n \"\"\"\n Check to make sure the timestamp is reasonable\n\n @param timestamp An NTP4 formatted timestamp (64bit)\n @return True if timestamp is okay or None, False otherwise\n \"\"\"\n if timestamp is None:\n return True\n if not isinstance(timestamp, float):\n return False\n if timestamp > ntplib.system_to_ntp_time(time.time() + 86400 * 365):\n return False\n else:\n return True\n\n def _check_preferred_timestamps(self):\n \"\"\"\n Check to make sure the preferred timestamp indicated in the\n particle is actually listed, possibly adjusting to 2nd best\n if not there.\n\n @throws SampleException When there is a problem with the preferred\n timestamp in the sample.\n \"\"\"\n if self.contents[DataParticleKey.PREFERRED_TIMESTAMP] is None:\n raise SampleException(\n 'Missing preferred timestamp, %s, in particle' % self.\n contents[DataParticleKey.PREFERRED_TIMESTAMP])\n return True\n\n def _encode_value(self, name, value, encoding_function, value_range=None):\n \"\"\"\n Encode a value using the encoding function, if it fails store the error in a queue\n\n :param value_range tuple containing min/max numerical values or min/max lengths\n \"\"\"\n encoded_val = None\n try:\n encoded_val = encoding_function(value)\n except ValueError as e:\n log.error('Unable to convert %s to %s.', encoded_val,\n encoding_function)\n self._encoding_errors.append({name: value})\n except Exception as e:\n log.error(\n 'Data particle error encoding. Name: %s Value: %s, Encoding: %s'\n , name, value, encoding_function)\n self._encoding_errors.append({name: value})\n if value_range:\n try:\n vmin, vmax = value_range\n except ValueError as e:\n log.exception(\n '_encode_value must have exactly two values for tuple argument value_range'\n )\n raise ValueError(e)\n if encoding_function in [int, float]:\n if vmin and encoded_val < vmin:\n log.error(\n 'Particle value (%s) below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and encoded_val > vmax:\n log.error(\n 'Particle value (%s) exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n elif hasattr(encoded_val, '__len__'):\n try:\n if vmin and len(encoded_val) < vmin:\n log.error(\n 'Particle value (%s) length below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and len(encoded_val) > vmax:\n log.error(\n 'Particle value (%s) length exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n except TypeError:\n log.warning(\n '_encode_value received an encoding function (%s) that claimed to implement len() but does not. Unable to apply range test to %s'\n , encoding_function, name)\n return {DataParticleKey.VALUE_ID: name, DataParticleKey.VALUE:\n encoded_val}\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n\n\nclass CommonDataParticleType(BaseEnum):\n <docstring token>\n RAW = 'raw'\n\n\nclass DataParticleKey(BaseEnum):\n PKT_FORMAT_ID = 'pkt_format_id'\n PKT_VERSION = 'pkt_version'\n STREAM_NAME = 'stream_name'\n INTERNAL_TIMESTAMP = 'internal_timestamp'\n PORT_TIMESTAMP = 'port_timestamp'\n DRIVER_TIMESTAMP = 'driver_timestamp'\n PREFERRED_TIMESTAMP = 'preferred_timestamp'\n QUALITY_FLAG = 'quality_flag'\n VALUES = 'values'\n VALUE_ID = 'value_id'\n VALUE = 'value'\n BINARY = 'binary'\n NEW_SEQUENCE = 'new_sequence'\n\n\nclass DataParticleValue(BaseEnum):\n JSON_DATA = 'JSON_Data'\n ENG = 'eng'\n OK = 'ok'\n CHECKSUM_FAILED = 'checksum_failed'\n OUT_OF_RANGE = 'out_of_range'\n INVALID = 'invalid'\n QUESTIONABLE = 'questionable'\n\n\nclass DataParticle(object):\n \"\"\"\n This class is responsible for storing and ultimately generating data\n particles in the designated format from the associated inputs. It\n fills in fields as necessary, and is a valid Data Particle\n that can be sent up to the InstrumentAgent.\n\n It is the intent that this class is subclassed as needed if an instrument must\n modify fields in the outgoing packet. The hope is to have most of the superclass\n code be called by the child class with just values overridden as needed.\n \"\"\"\n _data_particle_type = None\n\n def __init__(self, raw_data, port_timestamp=None, internal_timestamp=\n None, preferred_timestamp=None, quality_flag=DataParticleValue.OK,\n new_sequence=None):\n \"\"\" Build a particle seeded with appropriate information\n\n @param raw_data The raw data used in the particle\n \"\"\"\n if new_sequence is not None and not isinstance(new_sequence, bool):\n raise TypeError('new_sequence is not a bool')\n self.contents = {DataParticleKey.PKT_FORMAT_ID: DataParticleValue.\n JSON_DATA, DataParticleKey.PKT_VERSION: 1, DataParticleKey.\n PORT_TIMESTAMP: port_timestamp, DataParticleKey.\n INTERNAL_TIMESTAMP: internal_timestamp, DataParticleKey.\n DRIVER_TIMESTAMP: ntplib.system_to_ntp_time(time.time()),\n DataParticleKey.PREFERRED_TIMESTAMP: preferred_timestamp,\n DataParticleKey.QUALITY_FLAG: quality_flag}\n self._encoding_errors = []\n if new_sequence is not None:\n self.contents[DataParticleKey.NEW_SEQUENCE] = new_sequence\n self.raw_data = raw_data\n self._values = None\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n\n def set_internal_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the internal timestamp\n @param timestamp: NTP timestamp to set\n @param unit_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp)\n\n def set_port_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the port timestamp\n @param timestamp: NTP timestamp to set\n @param unix_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n if not self._check_timestamp(timestamp):\n raise InstrumentParameterException('invalid timestamp')\n self.contents[DataParticleKey.PORT_TIMESTAMP] = float(timestamp)\n\n def set_value(self, id, value):\n \"\"\"\n Set a content value, restricted as necessary\n\n @param id The ID of the value to set, should be from DataParticleKey\n @param value The value to set\n @raises ReadOnlyException If the parameter cannot be set\n \"\"\"\n if id == DataParticleKey.INTERNAL_TIMESTAMP and self._check_timestamp(\n value):\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = value\n else:\n raise ReadOnlyException(\n 'Parameter %s not able to be set to %s after object creation!'\n % (id, value))\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException('Value %s not available in particle!'\n , id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n\n def data_particle_type(self):\n \"\"\"\n Return the data particle type (aka stream name)\n @raise: NotImplementedException if _data_particle_type is not set\n \"\"\"\n if self._data_particle_type is None:\n raise NotImplementedException('_data_particle_type not initialized'\n )\n return self._data_particle_type\n\n def generate_dict(self):\n \"\"\"\n Generate a simple dictionary of sensor data and timestamps, without\n going to JSON. This is useful for the times when JSON is not needed to\n go across an interface. There are times when particles are used\n internally to a component/process/module/etc.\n @retval A python dictionary with the proper timestamps and data values\n @throws InstrumentDriverException if there is a problem wtih the inputs\n \"\"\"\n if not self._check_preferred_timestamps():\n raise SampleException('Preferred timestamp not in particle!')\n self._encoding_errors = []\n if self._values is None:\n self._values = self._build_parsed_values()\n result = self._build_base_structure()\n result[DataParticleKey.STREAM_NAME] = self.data_particle_type()\n result[DataParticleKey.VALUES] = self._values\n return result\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n\n def _build_parsed_values(self):\n \"\"\"\n Build values of a parsed structure. Just the values are built so\n so that a child class can override this class, but call it with\n super() to get the base structure before modification\n\n @return the values tag for this data structure ready to JSONify\n @raises SampleException when parsed values can not be properly returned\n \"\"\"\n raise SampleException('Parsed values block not overridden')\n\n def _build_base_structure(self):\n \"\"\"\n Build the base/header information for an output structure.\n Follow on methods can then modify it by adding or editing values.\n\n @return A fresh copy of a core structure to be exported\n \"\"\"\n result = dict(self.contents)\n if not self.contents[DataParticleKey.PORT_TIMESTAMP]:\n del result[DataParticleKey.PORT_TIMESTAMP]\n if not self.contents[DataParticleKey.INTERNAL_TIMESTAMP]:\n del result[DataParticleKey.INTERNAL_TIMESTAMP]\n return result\n\n def _check_timestamp(self, timestamp):\n \"\"\"\n Check to make sure the timestamp is reasonable\n\n @param timestamp An NTP4 formatted timestamp (64bit)\n @return True if timestamp is okay or None, False otherwise\n \"\"\"\n if timestamp is None:\n return True\n if not isinstance(timestamp, float):\n return False\n if timestamp > ntplib.system_to_ntp_time(time.time() + 86400 * 365):\n return False\n else:\n return True\n\n def _check_preferred_timestamps(self):\n \"\"\"\n Check to make sure the preferred timestamp indicated in the\n particle is actually listed, possibly adjusting to 2nd best\n if not there.\n\n @throws SampleException When there is a problem with the preferred\n timestamp in the sample.\n \"\"\"\n if self.contents[DataParticleKey.PREFERRED_TIMESTAMP] is None:\n raise SampleException(\n 'Missing preferred timestamp, %s, in particle' % self.\n contents[DataParticleKey.PREFERRED_TIMESTAMP])\n return True\n\n def _encode_value(self, name, value, encoding_function, value_range=None):\n \"\"\"\n Encode a value using the encoding function, if it fails store the error in a queue\n\n :param value_range tuple containing min/max numerical values or min/max lengths\n \"\"\"\n encoded_val = None\n try:\n encoded_val = encoding_function(value)\n except ValueError as e:\n log.error('Unable to convert %s to %s.', encoded_val,\n encoding_function)\n self._encoding_errors.append({name: value})\n except Exception as e:\n log.error(\n 'Data particle error encoding. Name: %s Value: %s, Encoding: %s'\n , name, value, encoding_function)\n self._encoding_errors.append({name: value})\n if value_range:\n try:\n vmin, vmax = value_range\n except ValueError as e:\n log.exception(\n '_encode_value must have exactly two values for tuple argument value_range'\n )\n raise ValueError(e)\n if encoding_function in [int, float]:\n if vmin and encoded_val < vmin:\n log.error(\n 'Particle value (%s) below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and encoded_val > vmax:\n log.error(\n 'Particle value (%s) exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n elif hasattr(encoded_val, '__len__'):\n try:\n if vmin and len(encoded_val) < vmin:\n log.error(\n 'Particle value (%s) length below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and len(encoded_val) > vmax:\n log.error(\n 'Particle value (%s) length exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n except TypeError:\n log.warning(\n '_encode_value received an encoding function (%s) that claimed to implement len() but does not. Unable to apply range test to %s'\n , encoding_function, name)\n return {DataParticleKey.VALUE_ID: name, DataParticleKey.VALUE:\n encoded_val}\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n\n\nclass CommonDataParticleType(BaseEnum):\n <docstring token>\n <assignment token>\n\n\nclass DataParticleKey(BaseEnum):\n PKT_FORMAT_ID = 'pkt_format_id'\n PKT_VERSION = 'pkt_version'\n STREAM_NAME = 'stream_name'\n INTERNAL_TIMESTAMP = 'internal_timestamp'\n PORT_TIMESTAMP = 'port_timestamp'\n DRIVER_TIMESTAMP = 'driver_timestamp'\n PREFERRED_TIMESTAMP = 'preferred_timestamp'\n QUALITY_FLAG = 'quality_flag'\n VALUES = 'values'\n VALUE_ID = 'value_id'\n VALUE = 'value'\n BINARY = 'binary'\n NEW_SEQUENCE = 'new_sequence'\n\n\nclass DataParticleValue(BaseEnum):\n JSON_DATA = 'JSON_Data'\n ENG = 'eng'\n OK = 'ok'\n CHECKSUM_FAILED = 'checksum_failed'\n OUT_OF_RANGE = 'out_of_range'\n INVALID = 'invalid'\n QUESTIONABLE = 'questionable'\n\n\nclass DataParticle(object):\n \"\"\"\n This class is responsible for storing and ultimately generating data\n particles in the designated format from the associated inputs. It\n fills in fields as necessary, and is a valid Data Particle\n that can be sent up to the InstrumentAgent.\n\n It is the intent that this class is subclassed as needed if an instrument must\n modify fields in the outgoing packet. The hope is to have most of the superclass\n code be called by the child class with just values overridden as needed.\n \"\"\"\n _data_particle_type = None\n\n def __init__(self, raw_data, port_timestamp=None, internal_timestamp=\n None, preferred_timestamp=None, quality_flag=DataParticleValue.OK,\n new_sequence=None):\n \"\"\" Build a particle seeded with appropriate information\n\n @param raw_data The raw data used in the particle\n \"\"\"\n if new_sequence is not None and not isinstance(new_sequence, bool):\n raise TypeError('new_sequence is not a bool')\n self.contents = {DataParticleKey.PKT_FORMAT_ID: DataParticleValue.\n JSON_DATA, DataParticleKey.PKT_VERSION: 1, DataParticleKey.\n PORT_TIMESTAMP: port_timestamp, DataParticleKey.\n INTERNAL_TIMESTAMP: internal_timestamp, DataParticleKey.\n DRIVER_TIMESTAMP: ntplib.system_to_ntp_time(time.time()),\n DataParticleKey.PREFERRED_TIMESTAMP: preferred_timestamp,\n DataParticleKey.QUALITY_FLAG: quality_flag}\n self._encoding_errors = []\n if new_sequence is not None:\n self.contents[DataParticleKey.NEW_SEQUENCE] = new_sequence\n self.raw_data = raw_data\n self._values = None\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n\n def set_internal_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the internal timestamp\n @param timestamp: NTP timestamp to set\n @param unit_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp)\n\n def set_port_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the port timestamp\n @param timestamp: NTP timestamp to set\n @param unix_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n if not self._check_timestamp(timestamp):\n raise InstrumentParameterException('invalid timestamp')\n self.contents[DataParticleKey.PORT_TIMESTAMP] = float(timestamp)\n\n def set_value(self, id, value):\n \"\"\"\n Set a content value, restricted as necessary\n\n @param id The ID of the value to set, should be from DataParticleKey\n @param value The value to set\n @raises ReadOnlyException If the parameter cannot be set\n \"\"\"\n if id == DataParticleKey.INTERNAL_TIMESTAMP and self._check_timestamp(\n value):\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = value\n else:\n raise ReadOnlyException(\n 'Parameter %s not able to be set to %s after object creation!'\n % (id, value))\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException('Value %s not available in particle!'\n , id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n\n def data_particle_type(self):\n \"\"\"\n Return the data particle type (aka stream name)\n @raise: NotImplementedException if _data_particle_type is not set\n \"\"\"\n if self._data_particle_type is None:\n raise NotImplementedException('_data_particle_type not initialized'\n )\n return self._data_particle_type\n\n def generate_dict(self):\n \"\"\"\n Generate a simple dictionary of sensor data and timestamps, without\n going to JSON. This is useful for the times when JSON is not needed to\n go across an interface. There are times when particles are used\n internally to a component/process/module/etc.\n @retval A python dictionary with the proper timestamps and data values\n @throws InstrumentDriverException if there is a problem wtih the inputs\n \"\"\"\n if not self._check_preferred_timestamps():\n raise SampleException('Preferred timestamp not in particle!')\n self._encoding_errors = []\n if self._values is None:\n self._values = self._build_parsed_values()\n result = self._build_base_structure()\n result[DataParticleKey.STREAM_NAME] = self.data_particle_type()\n result[DataParticleKey.VALUES] = self._values\n return result\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n\n def _build_parsed_values(self):\n \"\"\"\n Build values of a parsed structure. Just the values are built so\n so that a child class can override this class, but call it with\n super() to get the base structure before modification\n\n @return the values tag for this data structure ready to JSONify\n @raises SampleException when parsed values can not be properly returned\n \"\"\"\n raise SampleException('Parsed values block not overridden')\n\n def _build_base_structure(self):\n \"\"\"\n Build the base/header information for an output structure.\n Follow on methods can then modify it by adding or editing values.\n\n @return A fresh copy of a core structure to be exported\n \"\"\"\n result = dict(self.contents)\n if not self.contents[DataParticleKey.PORT_TIMESTAMP]:\n del result[DataParticleKey.PORT_TIMESTAMP]\n if not self.contents[DataParticleKey.INTERNAL_TIMESTAMP]:\n del result[DataParticleKey.INTERNAL_TIMESTAMP]\n return result\n\n def _check_timestamp(self, timestamp):\n \"\"\"\n Check to make sure the timestamp is reasonable\n\n @param timestamp An NTP4 formatted timestamp (64bit)\n @return True if timestamp is okay or None, False otherwise\n \"\"\"\n if timestamp is None:\n return True\n if not isinstance(timestamp, float):\n return False\n if timestamp > ntplib.system_to_ntp_time(time.time() + 86400 * 365):\n return False\n else:\n return True\n\n def _check_preferred_timestamps(self):\n \"\"\"\n Check to make sure the preferred timestamp indicated in the\n particle is actually listed, possibly adjusting to 2nd best\n if not there.\n\n @throws SampleException When there is a problem with the preferred\n timestamp in the sample.\n \"\"\"\n if self.contents[DataParticleKey.PREFERRED_TIMESTAMP] is None:\n raise SampleException(\n 'Missing preferred timestamp, %s, in particle' % self.\n contents[DataParticleKey.PREFERRED_TIMESTAMP])\n return True\n\n def _encode_value(self, name, value, encoding_function, value_range=None):\n \"\"\"\n Encode a value using the encoding function, if it fails store the error in a queue\n\n :param value_range tuple containing min/max numerical values or min/max lengths\n \"\"\"\n encoded_val = None\n try:\n encoded_val = encoding_function(value)\n except ValueError as e:\n log.error('Unable to convert %s to %s.', encoded_val,\n encoding_function)\n self._encoding_errors.append({name: value})\n except Exception as e:\n log.error(\n 'Data particle error encoding. Name: %s Value: %s, Encoding: %s'\n , name, value, encoding_function)\n self._encoding_errors.append({name: value})\n if value_range:\n try:\n vmin, vmax = value_range\n except ValueError as e:\n log.exception(\n '_encode_value must have exactly two values for tuple argument value_range'\n )\n raise ValueError(e)\n if encoding_function in [int, float]:\n if vmin and encoded_val < vmin:\n log.error(\n 'Particle value (%s) below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and encoded_val > vmax:\n log.error(\n 'Particle value (%s) exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n elif hasattr(encoded_val, '__len__'):\n try:\n if vmin and len(encoded_val) < vmin:\n log.error(\n 'Particle value (%s) length below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and len(encoded_val) > vmax:\n log.error(\n 'Particle value (%s) length exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n except TypeError:\n log.warning(\n '_encode_value received an encoding function (%s) that claimed to implement len() but does not. Unable to apply range test to %s'\n , encoding_function, name)\n return {DataParticleKey.VALUE_ID: name, DataParticleKey.VALUE:\n encoded_val}\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n\n\nclass DataParticleKey(BaseEnum):\n PKT_FORMAT_ID = 'pkt_format_id'\n PKT_VERSION = 'pkt_version'\n STREAM_NAME = 'stream_name'\n INTERNAL_TIMESTAMP = 'internal_timestamp'\n PORT_TIMESTAMP = 'port_timestamp'\n DRIVER_TIMESTAMP = 'driver_timestamp'\n PREFERRED_TIMESTAMP = 'preferred_timestamp'\n QUALITY_FLAG = 'quality_flag'\n VALUES = 'values'\n VALUE_ID = 'value_id'\n VALUE = 'value'\n BINARY = 'binary'\n NEW_SEQUENCE = 'new_sequence'\n\n\nclass DataParticleValue(BaseEnum):\n JSON_DATA = 'JSON_Data'\n ENG = 'eng'\n OK = 'ok'\n CHECKSUM_FAILED = 'checksum_failed'\n OUT_OF_RANGE = 'out_of_range'\n INVALID = 'invalid'\n QUESTIONABLE = 'questionable'\n\n\nclass DataParticle(object):\n \"\"\"\n This class is responsible for storing and ultimately generating data\n particles in the designated format from the associated inputs. It\n fills in fields as necessary, and is a valid Data Particle\n that can be sent up to the InstrumentAgent.\n\n It is the intent that this class is subclassed as needed if an instrument must\n modify fields in the outgoing packet. The hope is to have most of the superclass\n code be called by the child class with just values overridden as needed.\n \"\"\"\n _data_particle_type = None\n\n def __init__(self, raw_data, port_timestamp=None, internal_timestamp=\n None, preferred_timestamp=None, quality_flag=DataParticleValue.OK,\n new_sequence=None):\n \"\"\" Build a particle seeded with appropriate information\n\n @param raw_data The raw data used in the particle\n \"\"\"\n if new_sequence is not None and not isinstance(new_sequence, bool):\n raise TypeError('new_sequence is not a bool')\n self.contents = {DataParticleKey.PKT_FORMAT_ID: DataParticleValue.\n JSON_DATA, DataParticleKey.PKT_VERSION: 1, DataParticleKey.\n PORT_TIMESTAMP: port_timestamp, DataParticleKey.\n INTERNAL_TIMESTAMP: internal_timestamp, DataParticleKey.\n DRIVER_TIMESTAMP: ntplib.system_to_ntp_time(time.time()),\n DataParticleKey.PREFERRED_TIMESTAMP: preferred_timestamp,\n DataParticleKey.QUALITY_FLAG: quality_flag}\n self._encoding_errors = []\n if new_sequence is not None:\n self.contents[DataParticleKey.NEW_SEQUENCE] = new_sequence\n self.raw_data = raw_data\n self._values = None\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n\n def set_internal_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the internal timestamp\n @param timestamp: NTP timestamp to set\n @param unit_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp)\n\n def set_port_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the port timestamp\n @param timestamp: NTP timestamp to set\n @param unix_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n if not self._check_timestamp(timestamp):\n raise InstrumentParameterException('invalid timestamp')\n self.contents[DataParticleKey.PORT_TIMESTAMP] = float(timestamp)\n\n def set_value(self, id, value):\n \"\"\"\n Set a content value, restricted as necessary\n\n @param id The ID of the value to set, should be from DataParticleKey\n @param value The value to set\n @raises ReadOnlyException If the parameter cannot be set\n \"\"\"\n if id == DataParticleKey.INTERNAL_TIMESTAMP and self._check_timestamp(\n value):\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = value\n else:\n raise ReadOnlyException(\n 'Parameter %s not able to be set to %s after object creation!'\n % (id, value))\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException('Value %s not available in particle!'\n , id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n\n def data_particle_type(self):\n \"\"\"\n Return the data particle type (aka stream name)\n @raise: NotImplementedException if _data_particle_type is not set\n \"\"\"\n if self._data_particle_type is None:\n raise NotImplementedException('_data_particle_type not initialized'\n )\n return self._data_particle_type\n\n def generate_dict(self):\n \"\"\"\n Generate a simple dictionary of sensor data and timestamps, without\n going to JSON. This is useful for the times when JSON is not needed to\n go across an interface. There are times when particles are used\n internally to a component/process/module/etc.\n @retval A python dictionary with the proper timestamps and data values\n @throws InstrumentDriverException if there is a problem wtih the inputs\n \"\"\"\n if not self._check_preferred_timestamps():\n raise SampleException('Preferred timestamp not in particle!')\n self._encoding_errors = []\n if self._values is None:\n self._values = self._build_parsed_values()\n result = self._build_base_structure()\n result[DataParticleKey.STREAM_NAME] = self.data_particle_type()\n result[DataParticleKey.VALUES] = self._values\n return result\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n\n def _build_parsed_values(self):\n \"\"\"\n Build values of a parsed structure. Just the values are built so\n so that a child class can override this class, but call it with\n super() to get the base structure before modification\n\n @return the values tag for this data structure ready to JSONify\n @raises SampleException when parsed values can not be properly returned\n \"\"\"\n raise SampleException('Parsed values block not overridden')\n\n def _build_base_structure(self):\n \"\"\"\n Build the base/header information for an output structure.\n Follow on methods can then modify it by adding or editing values.\n\n @return A fresh copy of a core structure to be exported\n \"\"\"\n result = dict(self.contents)\n if not self.contents[DataParticleKey.PORT_TIMESTAMP]:\n del result[DataParticleKey.PORT_TIMESTAMP]\n if not self.contents[DataParticleKey.INTERNAL_TIMESTAMP]:\n del result[DataParticleKey.INTERNAL_TIMESTAMP]\n return result\n\n def _check_timestamp(self, timestamp):\n \"\"\"\n Check to make sure the timestamp is reasonable\n\n @param timestamp An NTP4 formatted timestamp (64bit)\n @return True if timestamp is okay or None, False otherwise\n \"\"\"\n if timestamp is None:\n return True\n if not isinstance(timestamp, float):\n return False\n if timestamp > ntplib.system_to_ntp_time(time.time() + 86400 * 365):\n return False\n else:\n return True\n\n def _check_preferred_timestamps(self):\n \"\"\"\n Check to make sure the preferred timestamp indicated in the\n particle is actually listed, possibly adjusting to 2nd best\n if not there.\n\n @throws SampleException When there is a problem with the preferred\n timestamp in the sample.\n \"\"\"\n if self.contents[DataParticleKey.PREFERRED_TIMESTAMP] is None:\n raise SampleException(\n 'Missing preferred timestamp, %s, in particle' % self.\n contents[DataParticleKey.PREFERRED_TIMESTAMP])\n return True\n\n def _encode_value(self, name, value, encoding_function, value_range=None):\n \"\"\"\n Encode a value using the encoding function, if it fails store the error in a queue\n\n :param value_range tuple containing min/max numerical values or min/max lengths\n \"\"\"\n encoded_val = None\n try:\n encoded_val = encoding_function(value)\n except ValueError as e:\n log.error('Unable to convert %s to %s.', encoded_val,\n encoding_function)\n self._encoding_errors.append({name: value})\n except Exception as e:\n log.error(\n 'Data particle error encoding. Name: %s Value: %s, Encoding: %s'\n , name, value, encoding_function)\n self._encoding_errors.append({name: value})\n if value_range:\n try:\n vmin, vmax = value_range\n except ValueError as e:\n log.exception(\n '_encode_value must have exactly two values for tuple argument value_range'\n )\n raise ValueError(e)\n if encoding_function in [int, float]:\n if vmin and encoded_val < vmin:\n log.error(\n 'Particle value (%s) below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and encoded_val > vmax:\n log.error(\n 'Particle value (%s) exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n elif hasattr(encoded_val, '__len__'):\n try:\n if vmin and len(encoded_val) < vmin:\n log.error(\n 'Particle value (%s) length below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and len(encoded_val) > vmax:\n log.error(\n 'Particle value (%s) length exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n except TypeError:\n log.warning(\n '_encode_value received an encoding function (%s) that claimed to implement len() but does not. Unable to apply range test to %s'\n , encoding_function, name)\n return {DataParticleKey.VALUE_ID: name, DataParticleKey.VALUE:\n encoded_val}\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n\n\nclass DataParticleKey(BaseEnum):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n\nclass DataParticleValue(BaseEnum):\n JSON_DATA = 'JSON_Data'\n ENG = 'eng'\n OK = 'ok'\n CHECKSUM_FAILED = 'checksum_failed'\n OUT_OF_RANGE = 'out_of_range'\n INVALID = 'invalid'\n QUESTIONABLE = 'questionable'\n\n\nclass DataParticle(object):\n \"\"\"\n This class is responsible for storing and ultimately generating data\n particles in the designated format from the associated inputs. It\n fills in fields as necessary, and is a valid Data Particle\n that can be sent up to the InstrumentAgent.\n\n It is the intent that this class is subclassed as needed if an instrument must\n modify fields in the outgoing packet. The hope is to have most of the superclass\n code be called by the child class with just values overridden as needed.\n \"\"\"\n _data_particle_type = None\n\n def __init__(self, raw_data, port_timestamp=None, internal_timestamp=\n None, preferred_timestamp=None, quality_flag=DataParticleValue.OK,\n new_sequence=None):\n \"\"\" Build a particle seeded with appropriate information\n\n @param raw_data The raw data used in the particle\n \"\"\"\n if new_sequence is not None and not isinstance(new_sequence, bool):\n raise TypeError('new_sequence is not a bool')\n self.contents = {DataParticleKey.PKT_FORMAT_ID: DataParticleValue.\n JSON_DATA, DataParticleKey.PKT_VERSION: 1, DataParticleKey.\n PORT_TIMESTAMP: port_timestamp, DataParticleKey.\n INTERNAL_TIMESTAMP: internal_timestamp, DataParticleKey.\n DRIVER_TIMESTAMP: ntplib.system_to_ntp_time(time.time()),\n DataParticleKey.PREFERRED_TIMESTAMP: preferred_timestamp,\n DataParticleKey.QUALITY_FLAG: quality_flag}\n self._encoding_errors = []\n if new_sequence is not None:\n self.contents[DataParticleKey.NEW_SEQUENCE] = new_sequence\n self.raw_data = raw_data\n self._values = None\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n\n def set_internal_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the internal timestamp\n @param timestamp: NTP timestamp to set\n @param unit_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp)\n\n def set_port_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the port timestamp\n @param timestamp: NTP timestamp to set\n @param unix_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n if not self._check_timestamp(timestamp):\n raise InstrumentParameterException('invalid timestamp')\n self.contents[DataParticleKey.PORT_TIMESTAMP] = float(timestamp)\n\n def set_value(self, id, value):\n \"\"\"\n Set a content value, restricted as necessary\n\n @param id The ID of the value to set, should be from DataParticleKey\n @param value The value to set\n @raises ReadOnlyException If the parameter cannot be set\n \"\"\"\n if id == DataParticleKey.INTERNAL_TIMESTAMP and self._check_timestamp(\n value):\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = value\n else:\n raise ReadOnlyException(\n 'Parameter %s not able to be set to %s after object creation!'\n % (id, value))\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException('Value %s not available in particle!'\n , id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n\n def data_particle_type(self):\n \"\"\"\n Return the data particle type (aka stream name)\n @raise: NotImplementedException if _data_particle_type is not set\n \"\"\"\n if self._data_particle_type is None:\n raise NotImplementedException('_data_particle_type not initialized'\n )\n return self._data_particle_type\n\n def generate_dict(self):\n \"\"\"\n Generate a simple dictionary of sensor data and timestamps, without\n going to JSON. This is useful for the times when JSON is not needed to\n go across an interface. There are times when particles are used\n internally to a component/process/module/etc.\n @retval A python dictionary with the proper timestamps and data values\n @throws InstrumentDriverException if there is a problem wtih the inputs\n \"\"\"\n if not self._check_preferred_timestamps():\n raise SampleException('Preferred timestamp not in particle!')\n self._encoding_errors = []\n if self._values is None:\n self._values = self._build_parsed_values()\n result = self._build_base_structure()\n result[DataParticleKey.STREAM_NAME] = self.data_particle_type()\n result[DataParticleKey.VALUES] = self._values\n return result\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n\n def _build_parsed_values(self):\n \"\"\"\n Build values of a parsed structure. Just the values are built so\n so that a child class can override this class, but call it with\n super() to get the base structure before modification\n\n @return the values tag for this data structure ready to JSONify\n @raises SampleException when parsed values can not be properly returned\n \"\"\"\n raise SampleException('Parsed values block not overridden')\n\n def _build_base_structure(self):\n \"\"\"\n Build the base/header information for an output structure.\n Follow on methods can then modify it by adding or editing values.\n\n @return A fresh copy of a core structure to be exported\n \"\"\"\n result = dict(self.contents)\n if not self.contents[DataParticleKey.PORT_TIMESTAMP]:\n del result[DataParticleKey.PORT_TIMESTAMP]\n if not self.contents[DataParticleKey.INTERNAL_TIMESTAMP]:\n del result[DataParticleKey.INTERNAL_TIMESTAMP]\n return result\n\n def _check_timestamp(self, timestamp):\n \"\"\"\n Check to make sure the timestamp is reasonable\n\n @param timestamp An NTP4 formatted timestamp (64bit)\n @return True if timestamp is okay or None, False otherwise\n \"\"\"\n if timestamp is None:\n return True\n if not isinstance(timestamp, float):\n return False\n if timestamp > ntplib.system_to_ntp_time(time.time() + 86400 * 365):\n return False\n else:\n return True\n\n def _check_preferred_timestamps(self):\n \"\"\"\n Check to make sure the preferred timestamp indicated in the\n particle is actually listed, possibly adjusting to 2nd best\n if not there.\n\n @throws SampleException When there is a problem with the preferred\n timestamp in the sample.\n \"\"\"\n if self.contents[DataParticleKey.PREFERRED_TIMESTAMP] is None:\n raise SampleException(\n 'Missing preferred timestamp, %s, in particle' % self.\n contents[DataParticleKey.PREFERRED_TIMESTAMP])\n return True\n\n def _encode_value(self, name, value, encoding_function, value_range=None):\n \"\"\"\n Encode a value using the encoding function, if it fails store the error in a queue\n\n :param value_range tuple containing min/max numerical values or min/max lengths\n \"\"\"\n encoded_val = None\n try:\n encoded_val = encoding_function(value)\n except ValueError as e:\n log.error('Unable to convert %s to %s.', encoded_val,\n encoding_function)\n self._encoding_errors.append({name: value})\n except Exception as e:\n log.error(\n 'Data particle error encoding. Name: %s Value: %s, Encoding: %s'\n , name, value, encoding_function)\n self._encoding_errors.append({name: value})\n if value_range:\n try:\n vmin, vmax = value_range\n except ValueError as e:\n log.exception(\n '_encode_value must have exactly two values for tuple argument value_range'\n )\n raise ValueError(e)\n if encoding_function in [int, float]:\n if vmin and encoded_val < vmin:\n log.error(\n 'Particle value (%s) below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and encoded_val > vmax:\n log.error(\n 'Particle value (%s) exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n elif hasattr(encoded_val, '__len__'):\n try:\n if vmin and len(encoded_val) < vmin:\n log.error(\n 'Particle value (%s) length below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and len(encoded_val) > vmax:\n log.error(\n 'Particle value (%s) length exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n except TypeError:\n log.warning(\n '_encode_value received an encoding function (%s) that claimed to implement len() but does not. Unable to apply range test to %s'\n , encoding_function, name)\n return {DataParticleKey.VALUE_ID: name, DataParticleKey.VALUE:\n encoded_val}\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n\n\nclass DataParticleValue(BaseEnum):\n JSON_DATA = 'JSON_Data'\n ENG = 'eng'\n OK = 'ok'\n CHECKSUM_FAILED = 'checksum_failed'\n OUT_OF_RANGE = 'out_of_range'\n INVALID = 'invalid'\n QUESTIONABLE = 'questionable'\n\n\nclass DataParticle(object):\n \"\"\"\n This class is responsible for storing and ultimately generating data\n particles in the designated format from the associated inputs. It\n fills in fields as necessary, and is a valid Data Particle\n that can be sent up to the InstrumentAgent.\n\n It is the intent that this class is subclassed as needed if an instrument must\n modify fields in the outgoing packet. The hope is to have most of the superclass\n code be called by the child class with just values overridden as needed.\n \"\"\"\n _data_particle_type = None\n\n def __init__(self, raw_data, port_timestamp=None, internal_timestamp=\n None, preferred_timestamp=None, quality_flag=DataParticleValue.OK,\n new_sequence=None):\n \"\"\" Build a particle seeded with appropriate information\n\n @param raw_data The raw data used in the particle\n \"\"\"\n if new_sequence is not None and not isinstance(new_sequence, bool):\n raise TypeError('new_sequence is not a bool')\n self.contents = {DataParticleKey.PKT_FORMAT_ID: DataParticleValue.\n JSON_DATA, DataParticleKey.PKT_VERSION: 1, DataParticleKey.\n PORT_TIMESTAMP: port_timestamp, DataParticleKey.\n INTERNAL_TIMESTAMP: internal_timestamp, DataParticleKey.\n DRIVER_TIMESTAMP: ntplib.system_to_ntp_time(time.time()),\n DataParticleKey.PREFERRED_TIMESTAMP: preferred_timestamp,\n DataParticleKey.QUALITY_FLAG: quality_flag}\n self._encoding_errors = []\n if new_sequence is not None:\n self.contents[DataParticleKey.NEW_SEQUENCE] = new_sequence\n self.raw_data = raw_data\n self._values = None\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n\n def set_internal_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the internal timestamp\n @param timestamp: NTP timestamp to set\n @param unit_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp)\n\n def set_port_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the port timestamp\n @param timestamp: NTP timestamp to set\n @param unix_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n if not self._check_timestamp(timestamp):\n raise InstrumentParameterException('invalid timestamp')\n self.contents[DataParticleKey.PORT_TIMESTAMP] = float(timestamp)\n\n def set_value(self, id, value):\n \"\"\"\n Set a content value, restricted as necessary\n\n @param id The ID of the value to set, should be from DataParticleKey\n @param value The value to set\n @raises ReadOnlyException If the parameter cannot be set\n \"\"\"\n if id == DataParticleKey.INTERNAL_TIMESTAMP and self._check_timestamp(\n value):\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = value\n else:\n raise ReadOnlyException(\n 'Parameter %s not able to be set to %s after object creation!'\n % (id, value))\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException('Value %s not available in particle!'\n , id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n\n def data_particle_type(self):\n \"\"\"\n Return the data particle type (aka stream name)\n @raise: NotImplementedException if _data_particle_type is not set\n \"\"\"\n if self._data_particle_type is None:\n raise NotImplementedException('_data_particle_type not initialized'\n )\n return self._data_particle_type\n\n def generate_dict(self):\n \"\"\"\n Generate a simple dictionary of sensor data and timestamps, without\n going to JSON. This is useful for the times when JSON is not needed to\n go across an interface. There are times when particles are used\n internally to a component/process/module/etc.\n @retval A python dictionary with the proper timestamps and data values\n @throws InstrumentDriverException if there is a problem wtih the inputs\n \"\"\"\n if not self._check_preferred_timestamps():\n raise SampleException('Preferred timestamp not in particle!')\n self._encoding_errors = []\n if self._values is None:\n self._values = self._build_parsed_values()\n result = self._build_base_structure()\n result[DataParticleKey.STREAM_NAME] = self.data_particle_type()\n result[DataParticleKey.VALUES] = self._values\n return result\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n\n def _build_parsed_values(self):\n \"\"\"\n Build values of a parsed structure. Just the values are built so\n so that a child class can override this class, but call it with\n super() to get the base structure before modification\n\n @return the values tag for this data structure ready to JSONify\n @raises SampleException when parsed values can not be properly returned\n \"\"\"\n raise SampleException('Parsed values block not overridden')\n\n def _build_base_structure(self):\n \"\"\"\n Build the base/header information for an output structure.\n Follow on methods can then modify it by adding or editing values.\n\n @return A fresh copy of a core structure to be exported\n \"\"\"\n result = dict(self.contents)\n if not self.contents[DataParticleKey.PORT_TIMESTAMP]:\n del result[DataParticleKey.PORT_TIMESTAMP]\n if not self.contents[DataParticleKey.INTERNAL_TIMESTAMP]:\n del result[DataParticleKey.INTERNAL_TIMESTAMP]\n return result\n\n def _check_timestamp(self, timestamp):\n \"\"\"\n Check to make sure the timestamp is reasonable\n\n @param timestamp An NTP4 formatted timestamp (64bit)\n @return True if timestamp is okay or None, False otherwise\n \"\"\"\n if timestamp is None:\n return True\n if not isinstance(timestamp, float):\n return False\n if timestamp > ntplib.system_to_ntp_time(time.time() + 86400 * 365):\n return False\n else:\n return True\n\n def _check_preferred_timestamps(self):\n \"\"\"\n Check to make sure the preferred timestamp indicated in the\n particle is actually listed, possibly adjusting to 2nd best\n if not there.\n\n @throws SampleException When there is a problem with the preferred\n timestamp in the sample.\n \"\"\"\n if self.contents[DataParticleKey.PREFERRED_TIMESTAMP] is None:\n raise SampleException(\n 'Missing preferred timestamp, %s, in particle' % self.\n contents[DataParticleKey.PREFERRED_TIMESTAMP])\n return True\n\n def _encode_value(self, name, value, encoding_function, value_range=None):\n \"\"\"\n Encode a value using the encoding function, if it fails store the error in a queue\n\n :param value_range tuple containing min/max numerical values or min/max lengths\n \"\"\"\n encoded_val = None\n try:\n encoded_val = encoding_function(value)\n except ValueError as e:\n log.error('Unable to convert %s to %s.', encoded_val,\n encoding_function)\n self._encoding_errors.append({name: value})\n except Exception as e:\n log.error(\n 'Data particle error encoding. Name: %s Value: %s, Encoding: %s'\n , name, value, encoding_function)\n self._encoding_errors.append({name: value})\n if value_range:\n try:\n vmin, vmax = value_range\n except ValueError as e:\n log.exception(\n '_encode_value must have exactly two values for tuple argument value_range'\n )\n raise ValueError(e)\n if encoding_function in [int, float]:\n if vmin and encoded_val < vmin:\n log.error(\n 'Particle value (%s) below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and encoded_val > vmax:\n log.error(\n 'Particle value (%s) exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n elif hasattr(encoded_val, '__len__'):\n try:\n if vmin and len(encoded_val) < vmin:\n log.error(\n 'Particle value (%s) length below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and len(encoded_val) > vmax:\n log.error(\n 'Particle value (%s) length exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n except TypeError:\n log.warning(\n '_encode_value received an encoding function (%s) that claimed to implement len() but does not. Unable to apply range test to %s'\n , encoding_function, name)\n return {DataParticleKey.VALUE_ID: name, DataParticleKey.VALUE:\n encoded_val}\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n\n\nclass DataParticleValue(BaseEnum):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n\nclass DataParticle(object):\n \"\"\"\n This class is responsible for storing and ultimately generating data\n particles in the designated format from the associated inputs. It\n fills in fields as necessary, and is a valid Data Particle\n that can be sent up to the InstrumentAgent.\n\n It is the intent that this class is subclassed as needed if an instrument must\n modify fields in the outgoing packet. The hope is to have most of the superclass\n code be called by the child class with just values overridden as needed.\n \"\"\"\n _data_particle_type = None\n\n def __init__(self, raw_data, port_timestamp=None, internal_timestamp=\n None, preferred_timestamp=None, quality_flag=DataParticleValue.OK,\n new_sequence=None):\n \"\"\" Build a particle seeded with appropriate information\n\n @param raw_data The raw data used in the particle\n \"\"\"\n if new_sequence is not None and not isinstance(new_sequence, bool):\n raise TypeError('new_sequence is not a bool')\n self.contents = {DataParticleKey.PKT_FORMAT_ID: DataParticleValue.\n JSON_DATA, DataParticleKey.PKT_VERSION: 1, DataParticleKey.\n PORT_TIMESTAMP: port_timestamp, DataParticleKey.\n INTERNAL_TIMESTAMP: internal_timestamp, DataParticleKey.\n DRIVER_TIMESTAMP: ntplib.system_to_ntp_time(time.time()),\n DataParticleKey.PREFERRED_TIMESTAMP: preferred_timestamp,\n DataParticleKey.QUALITY_FLAG: quality_flag}\n self._encoding_errors = []\n if new_sequence is not None:\n self.contents[DataParticleKey.NEW_SEQUENCE] = new_sequence\n self.raw_data = raw_data\n self._values = None\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n\n def set_internal_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the internal timestamp\n @param timestamp: NTP timestamp to set\n @param unit_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp)\n\n def set_port_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the port timestamp\n @param timestamp: NTP timestamp to set\n @param unix_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n if not self._check_timestamp(timestamp):\n raise InstrumentParameterException('invalid timestamp')\n self.contents[DataParticleKey.PORT_TIMESTAMP] = float(timestamp)\n\n def set_value(self, id, value):\n \"\"\"\n Set a content value, restricted as necessary\n\n @param id The ID of the value to set, should be from DataParticleKey\n @param value The value to set\n @raises ReadOnlyException If the parameter cannot be set\n \"\"\"\n if id == DataParticleKey.INTERNAL_TIMESTAMP and self._check_timestamp(\n value):\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = value\n else:\n raise ReadOnlyException(\n 'Parameter %s not able to be set to %s after object creation!'\n % (id, value))\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException('Value %s not available in particle!'\n , id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n\n def data_particle_type(self):\n \"\"\"\n Return the data particle type (aka stream name)\n @raise: NotImplementedException if _data_particle_type is not set\n \"\"\"\n if self._data_particle_type is None:\n raise NotImplementedException('_data_particle_type not initialized'\n )\n return self._data_particle_type\n\n def generate_dict(self):\n \"\"\"\n Generate a simple dictionary of sensor data and timestamps, without\n going to JSON. This is useful for the times when JSON is not needed to\n go across an interface. There are times when particles are used\n internally to a component/process/module/etc.\n @retval A python dictionary with the proper timestamps and data values\n @throws InstrumentDriverException if there is a problem wtih the inputs\n \"\"\"\n if not self._check_preferred_timestamps():\n raise SampleException('Preferred timestamp not in particle!')\n self._encoding_errors = []\n if self._values is None:\n self._values = self._build_parsed_values()\n result = self._build_base_structure()\n result[DataParticleKey.STREAM_NAME] = self.data_particle_type()\n result[DataParticleKey.VALUES] = self._values\n return result\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n\n def _build_parsed_values(self):\n \"\"\"\n Build values of a parsed structure. Just the values are built so\n so that a child class can override this class, but call it with\n super() to get the base structure before modification\n\n @return the values tag for this data structure ready to JSONify\n @raises SampleException when parsed values can not be properly returned\n \"\"\"\n raise SampleException('Parsed values block not overridden')\n\n def _build_base_structure(self):\n \"\"\"\n Build the base/header information for an output structure.\n Follow on methods can then modify it by adding or editing values.\n\n @return A fresh copy of a core structure to be exported\n \"\"\"\n result = dict(self.contents)\n if not self.contents[DataParticleKey.PORT_TIMESTAMP]:\n del result[DataParticleKey.PORT_TIMESTAMP]\n if not self.contents[DataParticleKey.INTERNAL_TIMESTAMP]:\n del result[DataParticleKey.INTERNAL_TIMESTAMP]\n return result\n\n def _check_timestamp(self, timestamp):\n \"\"\"\n Check to make sure the timestamp is reasonable\n\n @param timestamp An NTP4 formatted timestamp (64bit)\n @return True if timestamp is okay or None, False otherwise\n \"\"\"\n if timestamp is None:\n return True\n if not isinstance(timestamp, float):\n return False\n if timestamp > ntplib.system_to_ntp_time(time.time() + 86400 * 365):\n return False\n else:\n return True\n\n def _check_preferred_timestamps(self):\n \"\"\"\n Check to make sure the preferred timestamp indicated in the\n particle is actually listed, possibly adjusting to 2nd best\n if not there.\n\n @throws SampleException When there is a problem with the preferred\n timestamp in the sample.\n \"\"\"\n if self.contents[DataParticleKey.PREFERRED_TIMESTAMP] is None:\n raise SampleException(\n 'Missing preferred timestamp, %s, in particle' % self.\n contents[DataParticleKey.PREFERRED_TIMESTAMP])\n return True\n\n def _encode_value(self, name, value, encoding_function, value_range=None):\n \"\"\"\n Encode a value using the encoding function, if it fails store the error in a queue\n\n :param value_range tuple containing min/max numerical values or min/max lengths\n \"\"\"\n encoded_val = None\n try:\n encoded_val = encoding_function(value)\n except ValueError as e:\n log.error('Unable to convert %s to %s.', encoded_val,\n encoding_function)\n self._encoding_errors.append({name: value})\n except Exception as e:\n log.error(\n 'Data particle error encoding. Name: %s Value: %s, Encoding: %s'\n , name, value, encoding_function)\n self._encoding_errors.append({name: value})\n if value_range:\n try:\n vmin, vmax = value_range\n except ValueError as e:\n log.exception(\n '_encode_value must have exactly two values for tuple argument value_range'\n )\n raise ValueError(e)\n if encoding_function in [int, float]:\n if vmin and encoded_val < vmin:\n log.error(\n 'Particle value (%s) below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and encoded_val > vmax:\n log.error(\n 'Particle value (%s) exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n elif hasattr(encoded_val, '__len__'):\n try:\n if vmin and len(encoded_val) < vmin:\n log.error(\n 'Particle value (%s) length below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and len(encoded_val) > vmax:\n log.error(\n 'Particle value (%s) length exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n except TypeError:\n log.warning(\n '_encode_value received an encoding function (%s) that claimed to implement len() but does not. Unable to apply range test to %s'\n , encoding_function, name)\n return {DataParticleKey.VALUE_ID: name, DataParticleKey.VALUE:\n encoded_val}\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n\n\nclass DataParticle(object):\n \"\"\"\n This class is responsible for storing and ultimately generating data\n particles in the designated format from the associated inputs. It\n fills in fields as necessary, and is a valid Data Particle\n that can be sent up to the InstrumentAgent.\n\n It is the intent that this class is subclassed as needed if an instrument must\n modify fields in the outgoing packet. The hope is to have most of the superclass\n code be called by the child class with just values overridden as needed.\n \"\"\"\n _data_particle_type = None\n\n def __init__(self, raw_data, port_timestamp=None, internal_timestamp=\n None, preferred_timestamp=None, quality_flag=DataParticleValue.OK,\n new_sequence=None):\n \"\"\" Build a particle seeded with appropriate information\n\n @param raw_data The raw data used in the particle\n \"\"\"\n if new_sequence is not None and not isinstance(new_sequence, bool):\n raise TypeError('new_sequence is not a bool')\n self.contents = {DataParticleKey.PKT_FORMAT_ID: DataParticleValue.\n JSON_DATA, DataParticleKey.PKT_VERSION: 1, DataParticleKey.\n PORT_TIMESTAMP: port_timestamp, DataParticleKey.\n INTERNAL_TIMESTAMP: internal_timestamp, DataParticleKey.\n DRIVER_TIMESTAMP: ntplib.system_to_ntp_time(time.time()),\n DataParticleKey.PREFERRED_TIMESTAMP: preferred_timestamp,\n DataParticleKey.QUALITY_FLAG: quality_flag}\n self._encoding_errors = []\n if new_sequence is not None:\n self.contents[DataParticleKey.NEW_SEQUENCE] = new_sequence\n self.raw_data = raw_data\n self._values = None\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n\n def set_internal_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the internal timestamp\n @param timestamp: NTP timestamp to set\n @param unit_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp)\n\n def set_port_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the port timestamp\n @param timestamp: NTP timestamp to set\n @param unix_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n if not self._check_timestamp(timestamp):\n raise InstrumentParameterException('invalid timestamp')\n self.contents[DataParticleKey.PORT_TIMESTAMP] = float(timestamp)\n\n def set_value(self, id, value):\n \"\"\"\n Set a content value, restricted as necessary\n\n @param id The ID of the value to set, should be from DataParticleKey\n @param value The value to set\n @raises ReadOnlyException If the parameter cannot be set\n \"\"\"\n if id == DataParticleKey.INTERNAL_TIMESTAMP and self._check_timestamp(\n value):\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = value\n else:\n raise ReadOnlyException(\n 'Parameter %s not able to be set to %s after object creation!'\n % (id, value))\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException('Value %s not available in particle!'\n , id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n\n def data_particle_type(self):\n \"\"\"\n Return the data particle type (aka stream name)\n @raise: NotImplementedException if _data_particle_type is not set\n \"\"\"\n if self._data_particle_type is None:\n raise NotImplementedException('_data_particle_type not initialized'\n )\n return self._data_particle_type\n\n def generate_dict(self):\n \"\"\"\n Generate a simple dictionary of sensor data and timestamps, without\n going to JSON. This is useful for the times when JSON is not needed to\n go across an interface. There are times when particles are used\n internally to a component/process/module/etc.\n @retval A python dictionary with the proper timestamps and data values\n @throws InstrumentDriverException if there is a problem wtih the inputs\n \"\"\"\n if not self._check_preferred_timestamps():\n raise SampleException('Preferred timestamp not in particle!')\n self._encoding_errors = []\n if self._values is None:\n self._values = self._build_parsed_values()\n result = self._build_base_structure()\n result[DataParticleKey.STREAM_NAME] = self.data_particle_type()\n result[DataParticleKey.VALUES] = self._values\n return result\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n\n def _build_parsed_values(self):\n \"\"\"\n Build values of a parsed structure. Just the values are built so\n so that a child class can override this class, but call it with\n super() to get the base structure before modification\n\n @return the values tag for this data structure ready to JSONify\n @raises SampleException when parsed values can not be properly returned\n \"\"\"\n raise SampleException('Parsed values block not overridden')\n\n def _build_base_structure(self):\n \"\"\"\n Build the base/header information for an output structure.\n Follow on methods can then modify it by adding or editing values.\n\n @return A fresh copy of a core structure to be exported\n \"\"\"\n result = dict(self.contents)\n if not self.contents[DataParticleKey.PORT_TIMESTAMP]:\n del result[DataParticleKey.PORT_TIMESTAMP]\n if not self.contents[DataParticleKey.INTERNAL_TIMESTAMP]:\n del result[DataParticleKey.INTERNAL_TIMESTAMP]\n return result\n\n def _check_timestamp(self, timestamp):\n \"\"\"\n Check to make sure the timestamp is reasonable\n\n @param timestamp An NTP4 formatted timestamp (64bit)\n @return True if timestamp is okay or None, False otherwise\n \"\"\"\n if timestamp is None:\n return True\n if not isinstance(timestamp, float):\n return False\n if timestamp > ntplib.system_to_ntp_time(time.time() + 86400 * 365):\n return False\n else:\n return True\n\n def _check_preferred_timestamps(self):\n \"\"\"\n Check to make sure the preferred timestamp indicated in the\n particle is actually listed, possibly adjusting to 2nd best\n if not there.\n\n @throws SampleException When there is a problem with the preferred\n timestamp in the sample.\n \"\"\"\n if self.contents[DataParticleKey.PREFERRED_TIMESTAMP] is None:\n raise SampleException(\n 'Missing preferred timestamp, %s, in particle' % self.\n contents[DataParticleKey.PREFERRED_TIMESTAMP])\n return True\n\n def _encode_value(self, name, value, encoding_function, value_range=None):\n \"\"\"\n Encode a value using the encoding function, if it fails store the error in a queue\n\n :param value_range tuple containing min/max numerical values or min/max lengths\n \"\"\"\n encoded_val = None\n try:\n encoded_val = encoding_function(value)\n except ValueError as e:\n log.error('Unable to convert %s to %s.', encoded_val,\n encoding_function)\n self._encoding_errors.append({name: value})\n except Exception as e:\n log.error(\n 'Data particle error encoding. Name: %s Value: %s, Encoding: %s'\n , name, value, encoding_function)\n self._encoding_errors.append({name: value})\n if value_range:\n try:\n vmin, vmax = value_range\n except ValueError as e:\n log.exception(\n '_encode_value must have exactly two values for tuple argument value_range'\n )\n raise ValueError(e)\n if encoding_function in [int, float]:\n if vmin and encoded_val < vmin:\n log.error(\n 'Particle value (%s) below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and encoded_val > vmax:\n log.error(\n 'Particle value (%s) exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n elif hasattr(encoded_val, '__len__'):\n try:\n if vmin and len(encoded_val) < vmin:\n log.error(\n 'Particle value (%s) length below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and len(encoded_val) > vmax:\n log.error(\n 'Particle value (%s) length exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n except TypeError:\n log.warning(\n '_encode_value received an encoding function (%s) that claimed to implement len() but does not. Unable to apply range test to %s'\n , encoding_function, name)\n return {DataParticleKey.VALUE_ID: name, DataParticleKey.VALUE:\n encoded_val}\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n\n\nclass DataParticle(object):\n <docstring token>\n _data_particle_type = None\n\n def __init__(self, raw_data, port_timestamp=None, internal_timestamp=\n None, preferred_timestamp=None, quality_flag=DataParticleValue.OK,\n new_sequence=None):\n \"\"\" Build a particle seeded with appropriate information\n\n @param raw_data The raw data used in the particle\n \"\"\"\n if new_sequence is not None and not isinstance(new_sequence, bool):\n raise TypeError('new_sequence is not a bool')\n self.contents = {DataParticleKey.PKT_FORMAT_ID: DataParticleValue.\n JSON_DATA, DataParticleKey.PKT_VERSION: 1, DataParticleKey.\n PORT_TIMESTAMP: port_timestamp, DataParticleKey.\n INTERNAL_TIMESTAMP: internal_timestamp, DataParticleKey.\n DRIVER_TIMESTAMP: ntplib.system_to_ntp_time(time.time()),\n DataParticleKey.PREFERRED_TIMESTAMP: preferred_timestamp,\n DataParticleKey.QUALITY_FLAG: quality_flag}\n self._encoding_errors = []\n if new_sequence is not None:\n self.contents[DataParticleKey.NEW_SEQUENCE] = new_sequence\n self.raw_data = raw_data\n self._values = None\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n\n def set_internal_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the internal timestamp\n @param timestamp: NTP timestamp to set\n @param unit_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp)\n\n def set_port_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the port timestamp\n @param timestamp: NTP timestamp to set\n @param unix_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n if not self._check_timestamp(timestamp):\n raise InstrumentParameterException('invalid timestamp')\n self.contents[DataParticleKey.PORT_TIMESTAMP] = float(timestamp)\n\n def set_value(self, id, value):\n \"\"\"\n Set a content value, restricted as necessary\n\n @param id The ID of the value to set, should be from DataParticleKey\n @param value The value to set\n @raises ReadOnlyException If the parameter cannot be set\n \"\"\"\n if id == DataParticleKey.INTERNAL_TIMESTAMP and self._check_timestamp(\n value):\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = value\n else:\n raise ReadOnlyException(\n 'Parameter %s not able to be set to %s after object creation!'\n % (id, value))\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException('Value %s not available in particle!'\n , id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n\n def data_particle_type(self):\n \"\"\"\n Return the data particle type (aka stream name)\n @raise: NotImplementedException if _data_particle_type is not set\n \"\"\"\n if self._data_particle_type is None:\n raise NotImplementedException('_data_particle_type not initialized'\n )\n return self._data_particle_type\n\n def generate_dict(self):\n \"\"\"\n Generate a simple dictionary of sensor data and timestamps, without\n going to JSON. This is useful for the times when JSON is not needed to\n go across an interface. There are times when particles are used\n internally to a component/process/module/etc.\n @retval A python dictionary with the proper timestamps and data values\n @throws InstrumentDriverException if there is a problem wtih the inputs\n \"\"\"\n if not self._check_preferred_timestamps():\n raise SampleException('Preferred timestamp not in particle!')\n self._encoding_errors = []\n if self._values is None:\n self._values = self._build_parsed_values()\n result = self._build_base_structure()\n result[DataParticleKey.STREAM_NAME] = self.data_particle_type()\n result[DataParticleKey.VALUES] = self._values\n return result\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n\n def _build_parsed_values(self):\n \"\"\"\n Build values of a parsed structure. Just the values are built so\n so that a child class can override this class, but call it with\n super() to get the base structure before modification\n\n @return the values tag for this data structure ready to JSONify\n @raises SampleException when parsed values can not be properly returned\n \"\"\"\n raise SampleException('Parsed values block not overridden')\n\n def _build_base_structure(self):\n \"\"\"\n Build the base/header information for an output structure.\n Follow on methods can then modify it by adding or editing values.\n\n @return A fresh copy of a core structure to be exported\n \"\"\"\n result = dict(self.contents)\n if not self.contents[DataParticleKey.PORT_TIMESTAMP]:\n del result[DataParticleKey.PORT_TIMESTAMP]\n if not self.contents[DataParticleKey.INTERNAL_TIMESTAMP]:\n del result[DataParticleKey.INTERNAL_TIMESTAMP]\n return result\n\n def _check_timestamp(self, timestamp):\n \"\"\"\n Check to make sure the timestamp is reasonable\n\n @param timestamp An NTP4 formatted timestamp (64bit)\n @return True if timestamp is okay or None, False otherwise\n \"\"\"\n if timestamp is None:\n return True\n if not isinstance(timestamp, float):\n return False\n if timestamp > ntplib.system_to_ntp_time(time.time() + 86400 * 365):\n return False\n else:\n return True\n\n def _check_preferred_timestamps(self):\n \"\"\"\n Check to make sure the preferred timestamp indicated in the\n particle is actually listed, possibly adjusting to 2nd best\n if not there.\n\n @throws SampleException When there is a problem with the preferred\n timestamp in the sample.\n \"\"\"\n if self.contents[DataParticleKey.PREFERRED_TIMESTAMP] is None:\n raise SampleException(\n 'Missing preferred timestamp, %s, in particle' % self.\n contents[DataParticleKey.PREFERRED_TIMESTAMP])\n return True\n\n def _encode_value(self, name, value, encoding_function, value_range=None):\n \"\"\"\n Encode a value using the encoding function, if it fails store the error in a queue\n\n :param value_range tuple containing min/max numerical values or min/max lengths\n \"\"\"\n encoded_val = None\n try:\n encoded_val = encoding_function(value)\n except ValueError as e:\n log.error('Unable to convert %s to %s.', encoded_val,\n encoding_function)\n self._encoding_errors.append({name: value})\n except Exception as e:\n log.error(\n 'Data particle error encoding. Name: %s Value: %s, Encoding: %s'\n , name, value, encoding_function)\n self._encoding_errors.append({name: value})\n if value_range:\n try:\n vmin, vmax = value_range\n except ValueError as e:\n log.exception(\n '_encode_value must have exactly two values for tuple argument value_range'\n )\n raise ValueError(e)\n if encoding_function in [int, float]:\n if vmin and encoded_val < vmin:\n log.error(\n 'Particle value (%s) below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and encoded_val > vmax:\n log.error(\n 'Particle value (%s) exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n elif hasattr(encoded_val, '__len__'):\n try:\n if vmin and len(encoded_val) < vmin:\n log.error(\n 'Particle value (%s) length below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and len(encoded_val) > vmax:\n log.error(\n 'Particle value (%s) length exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n except TypeError:\n log.warning(\n '_encode_value received an encoding function (%s) that claimed to implement len() but does not. Unable to apply range test to %s'\n , encoding_function, name)\n return {DataParticleKey.VALUE_ID: name, DataParticleKey.VALUE:\n encoded_val}\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n\n\nclass DataParticle(object):\n <docstring token>\n <assignment token>\n\n def __init__(self, raw_data, port_timestamp=None, internal_timestamp=\n None, preferred_timestamp=None, quality_flag=DataParticleValue.OK,\n new_sequence=None):\n \"\"\" Build a particle seeded with appropriate information\n\n @param raw_data The raw data used in the particle\n \"\"\"\n if new_sequence is not None and not isinstance(new_sequence, bool):\n raise TypeError('new_sequence is not a bool')\n self.contents = {DataParticleKey.PKT_FORMAT_ID: DataParticleValue.\n JSON_DATA, DataParticleKey.PKT_VERSION: 1, DataParticleKey.\n PORT_TIMESTAMP: port_timestamp, DataParticleKey.\n INTERNAL_TIMESTAMP: internal_timestamp, DataParticleKey.\n DRIVER_TIMESTAMP: ntplib.system_to_ntp_time(time.time()),\n DataParticleKey.PREFERRED_TIMESTAMP: preferred_timestamp,\n DataParticleKey.QUALITY_FLAG: quality_flag}\n self._encoding_errors = []\n if new_sequence is not None:\n self.contents[DataParticleKey.NEW_SEQUENCE] = new_sequence\n self.raw_data = raw_data\n self._values = None\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n\n def set_internal_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the internal timestamp\n @param timestamp: NTP timestamp to set\n @param unit_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp)\n\n def set_port_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the port timestamp\n @param timestamp: NTP timestamp to set\n @param unix_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n if not self._check_timestamp(timestamp):\n raise InstrumentParameterException('invalid timestamp')\n self.contents[DataParticleKey.PORT_TIMESTAMP] = float(timestamp)\n\n def set_value(self, id, value):\n \"\"\"\n Set a content value, restricted as necessary\n\n @param id The ID of the value to set, should be from DataParticleKey\n @param value The value to set\n @raises ReadOnlyException If the parameter cannot be set\n \"\"\"\n if id == DataParticleKey.INTERNAL_TIMESTAMP and self._check_timestamp(\n value):\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = value\n else:\n raise ReadOnlyException(\n 'Parameter %s not able to be set to %s after object creation!'\n % (id, value))\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException('Value %s not available in particle!'\n , id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n\n def data_particle_type(self):\n \"\"\"\n Return the data particle type (aka stream name)\n @raise: NotImplementedException if _data_particle_type is not set\n \"\"\"\n if self._data_particle_type is None:\n raise NotImplementedException('_data_particle_type not initialized'\n )\n return self._data_particle_type\n\n def generate_dict(self):\n \"\"\"\n Generate a simple dictionary of sensor data and timestamps, without\n going to JSON. This is useful for the times when JSON is not needed to\n go across an interface. There are times when particles are used\n internally to a component/process/module/etc.\n @retval A python dictionary with the proper timestamps and data values\n @throws InstrumentDriverException if there is a problem wtih the inputs\n \"\"\"\n if not self._check_preferred_timestamps():\n raise SampleException('Preferred timestamp not in particle!')\n self._encoding_errors = []\n if self._values is None:\n self._values = self._build_parsed_values()\n result = self._build_base_structure()\n result[DataParticleKey.STREAM_NAME] = self.data_particle_type()\n result[DataParticleKey.VALUES] = self._values\n return result\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n\n def _build_parsed_values(self):\n \"\"\"\n Build values of a parsed structure. Just the values are built so\n so that a child class can override this class, but call it with\n super() to get the base structure before modification\n\n @return the values tag for this data structure ready to JSONify\n @raises SampleException when parsed values can not be properly returned\n \"\"\"\n raise SampleException('Parsed values block not overridden')\n\n def _build_base_structure(self):\n \"\"\"\n Build the base/header information for an output structure.\n Follow on methods can then modify it by adding or editing values.\n\n @return A fresh copy of a core structure to be exported\n \"\"\"\n result = dict(self.contents)\n if not self.contents[DataParticleKey.PORT_TIMESTAMP]:\n del result[DataParticleKey.PORT_TIMESTAMP]\n if not self.contents[DataParticleKey.INTERNAL_TIMESTAMP]:\n del result[DataParticleKey.INTERNAL_TIMESTAMP]\n return result\n\n def _check_timestamp(self, timestamp):\n \"\"\"\n Check to make sure the timestamp is reasonable\n\n @param timestamp An NTP4 formatted timestamp (64bit)\n @return True if timestamp is okay or None, False otherwise\n \"\"\"\n if timestamp is None:\n return True\n if not isinstance(timestamp, float):\n return False\n if timestamp > ntplib.system_to_ntp_time(time.time() + 86400 * 365):\n return False\n else:\n return True\n\n def _check_preferred_timestamps(self):\n \"\"\"\n Check to make sure the preferred timestamp indicated in the\n particle is actually listed, possibly adjusting to 2nd best\n if not there.\n\n @throws SampleException When there is a problem with the preferred\n timestamp in the sample.\n \"\"\"\n if self.contents[DataParticleKey.PREFERRED_TIMESTAMP] is None:\n raise SampleException(\n 'Missing preferred timestamp, %s, in particle' % self.\n contents[DataParticleKey.PREFERRED_TIMESTAMP])\n return True\n\n def _encode_value(self, name, value, encoding_function, value_range=None):\n \"\"\"\n Encode a value using the encoding function, if it fails store the error in a queue\n\n :param value_range tuple containing min/max numerical values or min/max lengths\n \"\"\"\n encoded_val = None\n try:\n encoded_val = encoding_function(value)\n except ValueError as e:\n log.error('Unable to convert %s to %s.', encoded_val,\n encoding_function)\n self._encoding_errors.append({name: value})\n except Exception as e:\n log.error(\n 'Data particle error encoding. Name: %s Value: %s, Encoding: %s'\n , name, value, encoding_function)\n self._encoding_errors.append({name: value})\n if value_range:\n try:\n vmin, vmax = value_range\n except ValueError as e:\n log.exception(\n '_encode_value must have exactly two values for tuple argument value_range'\n )\n raise ValueError(e)\n if encoding_function in [int, float]:\n if vmin and encoded_val < vmin:\n log.error(\n 'Particle value (%s) below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and encoded_val > vmax:\n log.error(\n 'Particle value (%s) exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n elif hasattr(encoded_val, '__len__'):\n try:\n if vmin and len(encoded_val) < vmin:\n log.error(\n 'Particle value (%s) length below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and len(encoded_val) > vmax:\n log.error(\n 'Particle value (%s) length exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n except TypeError:\n log.warning(\n '_encode_value received an encoding function (%s) that claimed to implement len() but does not. Unable to apply range test to %s'\n , encoding_function, name)\n return {DataParticleKey.VALUE_ID: name, DataParticleKey.VALUE:\n encoded_val}\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n\n\nclass DataParticle(object):\n <docstring token>\n <assignment token>\n\n def __init__(self, raw_data, port_timestamp=None, internal_timestamp=\n None, preferred_timestamp=None, quality_flag=DataParticleValue.OK,\n new_sequence=None):\n \"\"\" Build a particle seeded with appropriate information\n\n @param raw_data The raw data used in the particle\n \"\"\"\n if new_sequence is not None and not isinstance(new_sequence, bool):\n raise TypeError('new_sequence is not a bool')\n self.contents = {DataParticleKey.PKT_FORMAT_ID: DataParticleValue.\n JSON_DATA, DataParticleKey.PKT_VERSION: 1, DataParticleKey.\n PORT_TIMESTAMP: port_timestamp, DataParticleKey.\n INTERNAL_TIMESTAMP: internal_timestamp, DataParticleKey.\n DRIVER_TIMESTAMP: ntplib.system_to_ntp_time(time.time()),\n DataParticleKey.PREFERRED_TIMESTAMP: preferred_timestamp,\n DataParticleKey.QUALITY_FLAG: quality_flag}\n self._encoding_errors = []\n if new_sequence is not None:\n self.contents[DataParticleKey.NEW_SEQUENCE] = new_sequence\n self.raw_data = raw_data\n self._values = None\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n\n def set_internal_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the internal timestamp\n @param timestamp: NTP timestamp to set\n @param unit_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp)\n\n def set_port_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the port timestamp\n @param timestamp: NTP timestamp to set\n @param unix_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n if not self._check_timestamp(timestamp):\n raise InstrumentParameterException('invalid timestamp')\n self.contents[DataParticleKey.PORT_TIMESTAMP] = float(timestamp)\n\n def set_value(self, id, value):\n \"\"\"\n Set a content value, restricted as necessary\n\n @param id The ID of the value to set, should be from DataParticleKey\n @param value The value to set\n @raises ReadOnlyException If the parameter cannot be set\n \"\"\"\n if id == DataParticleKey.INTERNAL_TIMESTAMP and self._check_timestamp(\n value):\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = value\n else:\n raise ReadOnlyException(\n 'Parameter %s not able to be set to %s after object creation!'\n % (id, value))\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException('Value %s not available in particle!'\n , id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n\n def data_particle_type(self):\n \"\"\"\n Return the data particle type (aka stream name)\n @raise: NotImplementedException if _data_particle_type is not set\n \"\"\"\n if self._data_particle_type is None:\n raise NotImplementedException('_data_particle_type not initialized'\n )\n return self._data_particle_type\n\n def generate_dict(self):\n \"\"\"\n Generate a simple dictionary of sensor data and timestamps, without\n going to JSON. This is useful for the times when JSON is not needed to\n go across an interface. There are times when particles are used\n internally to a component/process/module/etc.\n @retval A python dictionary with the proper timestamps and data values\n @throws InstrumentDriverException if there is a problem wtih the inputs\n \"\"\"\n if not self._check_preferred_timestamps():\n raise SampleException('Preferred timestamp not in particle!')\n self._encoding_errors = []\n if self._values is None:\n self._values = self._build_parsed_values()\n result = self._build_base_structure()\n result[DataParticleKey.STREAM_NAME] = self.data_particle_type()\n result[DataParticleKey.VALUES] = self._values\n return result\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n\n def _build_parsed_values(self):\n \"\"\"\n Build values of a parsed structure. Just the values are built so\n so that a child class can override this class, but call it with\n super() to get the base structure before modification\n\n @return the values tag for this data structure ready to JSONify\n @raises SampleException when parsed values can not be properly returned\n \"\"\"\n raise SampleException('Parsed values block not overridden')\n <function token>\n\n def _check_timestamp(self, timestamp):\n \"\"\"\n Check to make sure the timestamp is reasonable\n\n @param timestamp An NTP4 formatted timestamp (64bit)\n @return True if timestamp is okay or None, False otherwise\n \"\"\"\n if timestamp is None:\n return True\n if not isinstance(timestamp, float):\n return False\n if timestamp > ntplib.system_to_ntp_time(time.time() + 86400 * 365):\n return False\n else:\n return True\n\n def _check_preferred_timestamps(self):\n \"\"\"\n Check to make sure the preferred timestamp indicated in the\n particle is actually listed, possibly adjusting to 2nd best\n if not there.\n\n @throws SampleException When there is a problem with the preferred\n timestamp in the sample.\n \"\"\"\n if self.contents[DataParticleKey.PREFERRED_TIMESTAMP] is None:\n raise SampleException(\n 'Missing preferred timestamp, %s, in particle' % self.\n contents[DataParticleKey.PREFERRED_TIMESTAMP])\n return True\n\n def _encode_value(self, name, value, encoding_function, value_range=None):\n \"\"\"\n Encode a value using the encoding function, if it fails store the error in a queue\n\n :param value_range tuple containing min/max numerical values or min/max lengths\n \"\"\"\n encoded_val = None\n try:\n encoded_val = encoding_function(value)\n except ValueError as e:\n log.error('Unable to convert %s to %s.', encoded_val,\n encoding_function)\n self._encoding_errors.append({name: value})\n except Exception as e:\n log.error(\n 'Data particle error encoding. Name: %s Value: %s, Encoding: %s'\n , name, value, encoding_function)\n self._encoding_errors.append({name: value})\n if value_range:\n try:\n vmin, vmax = value_range\n except ValueError as e:\n log.exception(\n '_encode_value must have exactly two values for tuple argument value_range'\n )\n raise ValueError(e)\n if encoding_function in [int, float]:\n if vmin and encoded_val < vmin:\n log.error(\n 'Particle value (%s) below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and encoded_val > vmax:\n log.error(\n 'Particle value (%s) exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n elif hasattr(encoded_val, '__len__'):\n try:\n if vmin and len(encoded_val) < vmin:\n log.error(\n 'Particle value (%s) length below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and len(encoded_val) > vmax:\n log.error(\n 'Particle value (%s) length exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n except TypeError:\n log.warning(\n '_encode_value received an encoding function (%s) that claimed to implement len() but does not. Unable to apply range test to %s'\n , encoding_function, name)\n return {DataParticleKey.VALUE_ID: name, DataParticleKey.VALUE:\n encoded_val}\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n\n\nclass DataParticle(object):\n <docstring token>\n <assignment token>\n\n def __init__(self, raw_data, port_timestamp=None, internal_timestamp=\n None, preferred_timestamp=None, quality_flag=DataParticleValue.OK,\n new_sequence=None):\n \"\"\" Build a particle seeded with appropriate information\n\n @param raw_data The raw data used in the particle\n \"\"\"\n if new_sequence is not None and not isinstance(new_sequence, bool):\n raise TypeError('new_sequence is not a bool')\n self.contents = {DataParticleKey.PKT_FORMAT_ID: DataParticleValue.\n JSON_DATA, DataParticleKey.PKT_VERSION: 1, DataParticleKey.\n PORT_TIMESTAMP: port_timestamp, DataParticleKey.\n INTERNAL_TIMESTAMP: internal_timestamp, DataParticleKey.\n DRIVER_TIMESTAMP: ntplib.system_to_ntp_time(time.time()),\n DataParticleKey.PREFERRED_TIMESTAMP: preferred_timestamp,\n DataParticleKey.QUALITY_FLAG: quality_flag}\n self._encoding_errors = []\n if new_sequence is not None:\n self.contents[DataParticleKey.NEW_SEQUENCE] = new_sequence\n self.raw_data = raw_data\n self._values = None\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n\n def set_internal_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the internal timestamp\n @param timestamp: NTP timestamp to set\n @param unit_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp)\n\n def set_port_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the port timestamp\n @param timestamp: NTP timestamp to set\n @param unix_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n if not self._check_timestamp(timestamp):\n raise InstrumentParameterException('invalid timestamp')\n self.contents[DataParticleKey.PORT_TIMESTAMP] = float(timestamp)\n\n def set_value(self, id, value):\n \"\"\"\n Set a content value, restricted as necessary\n\n @param id The ID of the value to set, should be from DataParticleKey\n @param value The value to set\n @raises ReadOnlyException If the parameter cannot be set\n \"\"\"\n if id == DataParticleKey.INTERNAL_TIMESTAMP and self._check_timestamp(\n value):\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = value\n else:\n raise ReadOnlyException(\n 'Parameter %s not able to be set to %s after object creation!'\n % (id, value))\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException('Value %s not available in particle!'\n , id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n\n def data_particle_type(self):\n \"\"\"\n Return the data particle type (aka stream name)\n @raise: NotImplementedException if _data_particle_type is not set\n \"\"\"\n if self._data_particle_type is None:\n raise NotImplementedException('_data_particle_type not initialized'\n )\n return self._data_particle_type\n\n def generate_dict(self):\n \"\"\"\n Generate a simple dictionary of sensor data and timestamps, without\n going to JSON. This is useful for the times when JSON is not needed to\n go across an interface. There are times when particles are used\n internally to a component/process/module/etc.\n @retval A python dictionary with the proper timestamps and data values\n @throws InstrumentDriverException if there is a problem wtih the inputs\n \"\"\"\n if not self._check_preferred_timestamps():\n raise SampleException('Preferred timestamp not in particle!')\n self._encoding_errors = []\n if self._values is None:\n self._values = self._build_parsed_values()\n result = self._build_base_structure()\n result[DataParticleKey.STREAM_NAME] = self.data_particle_type()\n result[DataParticleKey.VALUES] = self._values\n return result\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n <function token>\n <function token>\n\n def _check_timestamp(self, timestamp):\n \"\"\"\n Check to make sure the timestamp is reasonable\n\n @param timestamp An NTP4 formatted timestamp (64bit)\n @return True if timestamp is okay or None, False otherwise\n \"\"\"\n if timestamp is None:\n return True\n if not isinstance(timestamp, float):\n return False\n if timestamp > ntplib.system_to_ntp_time(time.time() + 86400 * 365):\n return False\n else:\n return True\n\n def _check_preferred_timestamps(self):\n \"\"\"\n Check to make sure the preferred timestamp indicated in the\n particle is actually listed, possibly adjusting to 2nd best\n if not there.\n\n @throws SampleException When there is a problem with the preferred\n timestamp in the sample.\n \"\"\"\n if self.contents[DataParticleKey.PREFERRED_TIMESTAMP] is None:\n raise SampleException(\n 'Missing preferred timestamp, %s, in particle' % self.\n contents[DataParticleKey.PREFERRED_TIMESTAMP])\n return True\n\n def _encode_value(self, name, value, encoding_function, value_range=None):\n \"\"\"\n Encode a value using the encoding function, if it fails store the error in a queue\n\n :param value_range tuple containing min/max numerical values or min/max lengths\n \"\"\"\n encoded_val = None\n try:\n encoded_val = encoding_function(value)\n except ValueError as e:\n log.error('Unable to convert %s to %s.', encoded_val,\n encoding_function)\n self._encoding_errors.append({name: value})\n except Exception as e:\n log.error(\n 'Data particle error encoding. Name: %s Value: %s, Encoding: %s'\n , name, value, encoding_function)\n self._encoding_errors.append({name: value})\n if value_range:\n try:\n vmin, vmax = value_range\n except ValueError as e:\n log.exception(\n '_encode_value must have exactly two values for tuple argument value_range'\n )\n raise ValueError(e)\n if encoding_function in [int, float]:\n if vmin and encoded_val < vmin:\n log.error(\n 'Particle value (%s) below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and encoded_val > vmax:\n log.error(\n 'Particle value (%s) exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n elif hasattr(encoded_val, '__len__'):\n try:\n if vmin and len(encoded_val) < vmin:\n log.error(\n 'Particle value (%s) length below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and len(encoded_val) > vmax:\n log.error(\n 'Particle value (%s) length exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n except TypeError:\n log.warning(\n '_encode_value received an encoding function (%s) that claimed to implement len() but does not. Unable to apply range test to %s'\n , encoding_function, name)\n return {DataParticleKey.VALUE_ID: name, DataParticleKey.VALUE:\n encoded_val}\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n\n\nclass DataParticle(object):\n <docstring token>\n <assignment token>\n\n def __init__(self, raw_data, port_timestamp=None, internal_timestamp=\n None, preferred_timestamp=None, quality_flag=DataParticleValue.OK,\n new_sequence=None):\n \"\"\" Build a particle seeded with appropriate information\n\n @param raw_data The raw data used in the particle\n \"\"\"\n if new_sequence is not None and not isinstance(new_sequence, bool):\n raise TypeError('new_sequence is not a bool')\n self.contents = {DataParticleKey.PKT_FORMAT_ID: DataParticleValue.\n JSON_DATA, DataParticleKey.PKT_VERSION: 1, DataParticleKey.\n PORT_TIMESTAMP: port_timestamp, DataParticleKey.\n INTERNAL_TIMESTAMP: internal_timestamp, DataParticleKey.\n DRIVER_TIMESTAMP: ntplib.system_to_ntp_time(time.time()),\n DataParticleKey.PREFERRED_TIMESTAMP: preferred_timestamp,\n DataParticleKey.QUALITY_FLAG: quality_flag}\n self._encoding_errors = []\n if new_sequence is not None:\n self.contents[DataParticleKey.NEW_SEQUENCE] = new_sequence\n self.raw_data = raw_data\n self._values = None\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n\n def set_internal_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the internal timestamp\n @param timestamp: NTP timestamp to set\n @param unit_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp)\n\n def set_port_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the port timestamp\n @param timestamp: NTP timestamp to set\n @param unix_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n if not self._check_timestamp(timestamp):\n raise InstrumentParameterException('invalid timestamp')\n self.contents[DataParticleKey.PORT_TIMESTAMP] = float(timestamp)\n\n def set_value(self, id, value):\n \"\"\"\n Set a content value, restricted as necessary\n\n @param id The ID of the value to set, should be from DataParticleKey\n @param value The value to set\n @raises ReadOnlyException If the parameter cannot be set\n \"\"\"\n if id == DataParticleKey.INTERNAL_TIMESTAMP and self._check_timestamp(\n value):\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = value\n else:\n raise ReadOnlyException(\n 'Parameter %s not able to be set to %s after object creation!'\n % (id, value))\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException('Value %s not available in particle!'\n , id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n\n def data_particle_type(self):\n \"\"\"\n Return the data particle type (aka stream name)\n @raise: NotImplementedException if _data_particle_type is not set\n \"\"\"\n if self._data_particle_type is None:\n raise NotImplementedException('_data_particle_type not initialized'\n )\n return self._data_particle_type\n\n def generate_dict(self):\n \"\"\"\n Generate a simple dictionary of sensor data and timestamps, without\n going to JSON. This is useful for the times when JSON is not needed to\n go across an interface. There are times when particles are used\n internally to a component/process/module/etc.\n @retval A python dictionary with the proper timestamps and data values\n @throws InstrumentDriverException if there is a problem wtih the inputs\n \"\"\"\n if not self._check_preferred_timestamps():\n raise SampleException('Preferred timestamp not in particle!')\n self._encoding_errors = []\n if self._values is None:\n self._values = self._build_parsed_values()\n result = self._build_base_structure()\n result[DataParticleKey.STREAM_NAME] = self.data_particle_type()\n result[DataParticleKey.VALUES] = self._values\n return result\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n <function token>\n <function token>\n\n def _check_timestamp(self, timestamp):\n \"\"\"\n Check to make sure the timestamp is reasonable\n\n @param timestamp An NTP4 formatted timestamp (64bit)\n @return True if timestamp is okay or None, False otherwise\n \"\"\"\n if timestamp is None:\n return True\n if not isinstance(timestamp, float):\n return False\n if timestamp > ntplib.system_to_ntp_time(time.time() + 86400 * 365):\n return False\n else:\n return True\n <function token>\n\n def _encode_value(self, name, value, encoding_function, value_range=None):\n \"\"\"\n Encode a value using the encoding function, if it fails store the error in a queue\n\n :param value_range tuple containing min/max numerical values or min/max lengths\n \"\"\"\n encoded_val = None\n try:\n encoded_val = encoding_function(value)\n except ValueError as e:\n log.error('Unable to convert %s to %s.', encoded_val,\n encoding_function)\n self._encoding_errors.append({name: value})\n except Exception as e:\n log.error(\n 'Data particle error encoding. Name: %s Value: %s, Encoding: %s'\n , name, value, encoding_function)\n self._encoding_errors.append({name: value})\n if value_range:\n try:\n vmin, vmax = value_range\n except ValueError as e:\n log.exception(\n '_encode_value must have exactly two values for tuple argument value_range'\n )\n raise ValueError(e)\n if encoding_function in [int, float]:\n if vmin and encoded_val < vmin:\n log.error(\n 'Particle value (%s) below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and encoded_val > vmax:\n log.error(\n 'Particle value (%s) exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n elif hasattr(encoded_val, '__len__'):\n try:\n if vmin and len(encoded_val) < vmin:\n log.error(\n 'Particle value (%s) length below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and len(encoded_val) > vmax:\n log.error(\n 'Particle value (%s) length exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n except TypeError:\n log.warning(\n '_encode_value received an encoding function (%s) that claimed to implement len() but does not. Unable to apply range test to %s'\n , encoding_function, name)\n return {DataParticleKey.VALUE_ID: name, DataParticleKey.VALUE:\n encoded_val}\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n\n\nclass DataParticle(object):\n <docstring token>\n <assignment token>\n\n def __init__(self, raw_data, port_timestamp=None, internal_timestamp=\n None, preferred_timestamp=None, quality_flag=DataParticleValue.OK,\n new_sequence=None):\n \"\"\" Build a particle seeded with appropriate information\n\n @param raw_data The raw data used in the particle\n \"\"\"\n if new_sequence is not None and not isinstance(new_sequence, bool):\n raise TypeError('new_sequence is not a bool')\n self.contents = {DataParticleKey.PKT_FORMAT_ID: DataParticleValue.\n JSON_DATA, DataParticleKey.PKT_VERSION: 1, DataParticleKey.\n PORT_TIMESTAMP: port_timestamp, DataParticleKey.\n INTERNAL_TIMESTAMP: internal_timestamp, DataParticleKey.\n DRIVER_TIMESTAMP: ntplib.system_to_ntp_time(time.time()),\n DataParticleKey.PREFERRED_TIMESTAMP: preferred_timestamp,\n DataParticleKey.QUALITY_FLAG: quality_flag}\n self._encoding_errors = []\n if new_sequence is not None:\n self.contents[DataParticleKey.NEW_SEQUENCE] = new_sequence\n self.raw_data = raw_data\n self._values = None\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n\n def set_internal_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the internal timestamp\n @param timestamp: NTP timestamp to set\n @param unit_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp)\n <function token>\n\n def set_value(self, id, value):\n \"\"\"\n Set a content value, restricted as necessary\n\n @param id The ID of the value to set, should be from DataParticleKey\n @param value The value to set\n @raises ReadOnlyException If the parameter cannot be set\n \"\"\"\n if id == DataParticleKey.INTERNAL_TIMESTAMP and self._check_timestamp(\n value):\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = value\n else:\n raise ReadOnlyException(\n 'Parameter %s not able to be set to %s after object creation!'\n % (id, value))\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException('Value %s not available in particle!'\n , id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n\n def data_particle_type(self):\n \"\"\"\n Return the data particle type (aka stream name)\n @raise: NotImplementedException if _data_particle_type is not set\n \"\"\"\n if self._data_particle_type is None:\n raise NotImplementedException('_data_particle_type not initialized'\n )\n return self._data_particle_type\n\n def generate_dict(self):\n \"\"\"\n Generate a simple dictionary of sensor data and timestamps, without\n going to JSON. This is useful for the times when JSON is not needed to\n go across an interface. There are times when particles are used\n internally to a component/process/module/etc.\n @retval A python dictionary with the proper timestamps and data values\n @throws InstrumentDriverException if there is a problem wtih the inputs\n \"\"\"\n if not self._check_preferred_timestamps():\n raise SampleException('Preferred timestamp not in particle!')\n self._encoding_errors = []\n if self._values is None:\n self._values = self._build_parsed_values()\n result = self._build_base_structure()\n result[DataParticleKey.STREAM_NAME] = self.data_particle_type()\n result[DataParticleKey.VALUES] = self._values\n return result\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n <function token>\n <function token>\n\n def _check_timestamp(self, timestamp):\n \"\"\"\n Check to make sure the timestamp is reasonable\n\n @param timestamp An NTP4 formatted timestamp (64bit)\n @return True if timestamp is okay or None, False otherwise\n \"\"\"\n if timestamp is None:\n return True\n if not isinstance(timestamp, float):\n return False\n if timestamp > ntplib.system_to_ntp_time(time.time() + 86400 * 365):\n return False\n else:\n return True\n <function token>\n\n def _encode_value(self, name, value, encoding_function, value_range=None):\n \"\"\"\n Encode a value using the encoding function, if it fails store the error in a queue\n\n :param value_range tuple containing min/max numerical values or min/max lengths\n \"\"\"\n encoded_val = None\n try:\n encoded_val = encoding_function(value)\n except ValueError as e:\n log.error('Unable to convert %s to %s.', encoded_val,\n encoding_function)\n self._encoding_errors.append({name: value})\n except Exception as e:\n log.error(\n 'Data particle error encoding. Name: %s Value: %s, Encoding: %s'\n , name, value, encoding_function)\n self._encoding_errors.append({name: value})\n if value_range:\n try:\n vmin, vmax = value_range\n except ValueError as e:\n log.exception(\n '_encode_value must have exactly two values for tuple argument value_range'\n )\n raise ValueError(e)\n if encoding_function in [int, float]:\n if vmin and encoded_val < vmin:\n log.error(\n 'Particle value (%s) below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and encoded_val > vmax:\n log.error(\n 'Particle value (%s) exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n elif hasattr(encoded_val, '__len__'):\n try:\n if vmin and len(encoded_val) < vmin:\n log.error(\n 'Particle value (%s) length below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and len(encoded_val) > vmax:\n log.error(\n 'Particle value (%s) length exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n except TypeError:\n log.warning(\n '_encode_value received an encoding function (%s) that claimed to implement len() but does not. Unable to apply range test to %s'\n , encoding_function, name)\n return {DataParticleKey.VALUE_ID: name, DataParticleKey.VALUE:\n encoded_val}\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n\n\nclass DataParticle(object):\n <docstring token>\n <assignment token>\n <function token>\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n\n def set_internal_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the internal timestamp\n @param timestamp: NTP timestamp to set\n @param unit_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp)\n <function token>\n\n def set_value(self, id, value):\n \"\"\"\n Set a content value, restricted as necessary\n\n @param id The ID of the value to set, should be from DataParticleKey\n @param value The value to set\n @raises ReadOnlyException If the parameter cannot be set\n \"\"\"\n if id == DataParticleKey.INTERNAL_TIMESTAMP and self._check_timestamp(\n value):\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = value\n else:\n raise ReadOnlyException(\n 'Parameter %s not able to be set to %s after object creation!'\n % (id, value))\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException('Value %s not available in particle!'\n , id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n\n def data_particle_type(self):\n \"\"\"\n Return the data particle type (aka stream name)\n @raise: NotImplementedException if _data_particle_type is not set\n \"\"\"\n if self._data_particle_type is None:\n raise NotImplementedException('_data_particle_type not initialized'\n )\n return self._data_particle_type\n\n def generate_dict(self):\n \"\"\"\n Generate a simple dictionary of sensor data and timestamps, without\n going to JSON. This is useful for the times when JSON is not needed to\n go across an interface. There are times when particles are used\n internally to a component/process/module/etc.\n @retval A python dictionary with the proper timestamps and data values\n @throws InstrumentDriverException if there is a problem wtih the inputs\n \"\"\"\n if not self._check_preferred_timestamps():\n raise SampleException('Preferred timestamp not in particle!')\n self._encoding_errors = []\n if self._values is None:\n self._values = self._build_parsed_values()\n result = self._build_base_structure()\n result[DataParticleKey.STREAM_NAME] = self.data_particle_type()\n result[DataParticleKey.VALUES] = self._values\n return result\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n <function token>\n <function token>\n\n def _check_timestamp(self, timestamp):\n \"\"\"\n Check to make sure the timestamp is reasonable\n\n @param timestamp An NTP4 formatted timestamp (64bit)\n @return True if timestamp is okay or None, False otherwise\n \"\"\"\n if timestamp is None:\n return True\n if not isinstance(timestamp, float):\n return False\n if timestamp > ntplib.system_to_ntp_time(time.time() + 86400 * 365):\n return False\n else:\n return True\n <function token>\n\n def _encode_value(self, name, value, encoding_function, value_range=None):\n \"\"\"\n Encode a value using the encoding function, if it fails store the error in a queue\n\n :param value_range tuple containing min/max numerical values or min/max lengths\n \"\"\"\n encoded_val = None\n try:\n encoded_val = encoding_function(value)\n except ValueError as e:\n log.error('Unable to convert %s to %s.', encoded_val,\n encoding_function)\n self._encoding_errors.append({name: value})\n except Exception as e:\n log.error(\n 'Data particle error encoding. Name: %s Value: %s, Encoding: %s'\n , name, value, encoding_function)\n self._encoding_errors.append({name: value})\n if value_range:\n try:\n vmin, vmax = value_range\n except ValueError as e:\n log.exception(\n '_encode_value must have exactly two values for tuple argument value_range'\n )\n raise ValueError(e)\n if encoding_function in [int, float]:\n if vmin and encoded_val < vmin:\n log.error(\n 'Particle value (%s) below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and encoded_val > vmax:\n log.error(\n 'Particle value (%s) exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n elif hasattr(encoded_val, '__len__'):\n try:\n if vmin and len(encoded_val) < vmin:\n log.error(\n 'Particle value (%s) length below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and len(encoded_val) > vmax:\n log.error(\n 'Particle value (%s) length exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n except TypeError:\n log.warning(\n '_encode_value received an encoding function (%s) that claimed to implement len() but does not. Unable to apply range test to %s'\n , encoding_function, name)\n return {DataParticleKey.VALUE_ID: name, DataParticleKey.VALUE:\n encoded_val}\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n\n\nclass DataParticle(object):\n <docstring token>\n <assignment token>\n <function token>\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n\n def set_internal_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the internal timestamp\n @param timestamp: NTP timestamp to set\n @param unit_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp)\n <function token>\n\n def set_value(self, id, value):\n \"\"\"\n Set a content value, restricted as necessary\n\n @param id The ID of the value to set, should be from DataParticleKey\n @param value The value to set\n @raises ReadOnlyException If the parameter cannot be set\n \"\"\"\n if id == DataParticleKey.INTERNAL_TIMESTAMP and self._check_timestamp(\n value):\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = value\n else:\n raise ReadOnlyException(\n 'Parameter %s not able to be set to %s after object creation!'\n % (id, value))\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException('Value %s not available in particle!'\n , id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n\n def data_particle_type(self):\n \"\"\"\n Return the data particle type (aka stream name)\n @raise: NotImplementedException if _data_particle_type is not set\n \"\"\"\n if self._data_particle_type is None:\n raise NotImplementedException('_data_particle_type not initialized'\n )\n return self._data_particle_type\n\n def generate_dict(self):\n \"\"\"\n Generate a simple dictionary of sensor data and timestamps, without\n going to JSON. This is useful for the times when JSON is not needed to\n go across an interface. There are times when particles are used\n internally to a component/process/module/etc.\n @retval A python dictionary with the proper timestamps and data values\n @throws InstrumentDriverException if there is a problem wtih the inputs\n \"\"\"\n if not self._check_preferred_timestamps():\n raise SampleException('Preferred timestamp not in particle!')\n self._encoding_errors = []\n if self._values is None:\n self._values = self._build_parsed_values()\n result = self._build_base_structure()\n result[DataParticleKey.STREAM_NAME] = self.data_particle_type()\n result[DataParticleKey.VALUES] = self._values\n return result\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n <function token>\n <function token>\n <function token>\n <function token>\n\n def _encode_value(self, name, value, encoding_function, value_range=None):\n \"\"\"\n Encode a value using the encoding function, if it fails store the error in a queue\n\n :param value_range tuple containing min/max numerical values or min/max lengths\n \"\"\"\n encoded_val = None\n try:\n encoded_val = encoding_function(value)\n except ValueError as e:\n log.error('Unable to convert %s to %s.', encoded_val,\n encoding_function)\n self._encoding_errors.append({name: value})\n except Exception as e:\n log.error(\n 'Data particle error encoding. Name: %s Value: %s, Encoding: %s'\n , name, value, encoding_function)\n self._encoding_errors.append({name: value})\n if value_range:\n try:\n vmin, vmax = value_range\n except ValueError as e:\n log.exception(\n '_encode_value must have exactly two values for tuple argument value_range'\n )\n raise ValueError(e)\n if encoding_function in [int, float]:\n if vmin and encoded_val < vmin:\n log.error(\n 'Particle value (%s) below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and encoded_val > vmax:\n log.error(\n 'Particle value (%s) exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n elif hasattr(encoded_val, '__len__'):\n try:\n if vmin and len(encoded_val) < vmin:\n log.error(\n 'Particle value (%s) length below minimum threshold (%s < %s)'\n , name, value, vmin)\n self._encoding_errors.append({name: value})\n elif vmax and len(encoded_val) > vmax:\n log.error(\n 'Particle value (%s) length exceeds maximum threshold (%s > %s)'\n , name, value, vmax)\n self._encoding_errors.append({name: value})\n except TypeError:\n log.warning(\n '_encode_value received an encoding function (%s) that claimed to implement len() but does not. Unable to apply range test to %s'\n , encoding_function, name)\n return {DataParticleKey.VALUE_ID: name, DataParticleKey.VALUE:\n encoded_val}\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n\n\nclass DataParticle(object):\n <docstring token>\n <assignment token>\n <function token>\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n\n def set_internal_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the internal timestamp\n @param timestamp: NTP timestamp to set\n @param unit_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp)\n <function token>\n\n def set_value(self, id, value):\n \"\"\"\n Set a content value, restricted as necessary\n\n @param id The ID of the value to set, should be from DataParticleKey\n @param value The value to set\n @raises ReadOnlyException If the parameter cannot be set\n \"\"\"\n if id == DataParticleKey.INTERNAL_TIMESTAMP and self._check_timestamp(\n value):\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = value\n else:\n raise ReadOnlyException(\n 'Parameter %s not able to be set to %s after object creation!'\n % (id, value))\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException('Value %s not available in particle!'\n , id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n\n def data_particle_type(self):\n \"\"\"\n Return the data particle type (aka stream name)\n @raise: NotImplementedException if _data_particle_type is not set\n \"\"\"\n if self._data_particle_type is None:\n raise NotImplementedException('_data_particle_type not initialized'\n )\n return self._data_particle_type\n\n def generate_dict(self):\n \"\"\"\n Generate a simple dictionary of sensor data and timestamps, without\n going to JSON. This is useful for the times when JSON is not needed to\n go across an interface. There are times when particles are used\n internally to a component/process/module/etc.\n @retval A python dictionary with the proper timestamps and data values\n @throws InstrumentDriverException if there is a problem wtih the inputs\n \"\"\"\n if not self._check_preferred_timestamps():\n raise SampleException('Preferred timestamp not in particle!')\n self._encoding_errors = []\n if self._values is None:\n self._values = self._build_parsed_values()\n result = self._build_base_structure()\n result[DataParticleKey.STREAM_NAME] = self.data_particle_type()\n result[DataParticleKey.VALUES] = self._values\n return result\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n\n\nclass DataParticle(object):\n <docstring token>\n <assignment token>\n <function token>\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n\n def set_internal_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the internal timestamp\n @param timestamp: NTP timestamp to set\n @param unit_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp)\n <function token>\n\n def set_value(self, id, value):\n \"\"\"\n Set a content value, restricted as necessary\n\n @param id The ID of the value to set, should be from DataParticleKey\n @param value The value to set\n @raises ReadOnlyException If the parameter cannot be set\n \"\"\"\n if id == DataParticleKey.INTERNAL_TIMESTAMP and self._check_timestamp(\n value):\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = value\n else:\n raise ReadOnlyException(\n 'Parameter %s not able to be set to %s after object creation!'\n % (id, value))\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException('Value %s not available in particle!'\n , id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n\n def data_particle_type(self):\n \"\"\"\n Return the data particle type (aka stream name)\n @raise: NotImplementedException if _data_particle_type is not set\n \"\"\"\n if self._data_particle_type is None:\n raise NotImplementedException('_data_particle_type not initialized'\n )\n return self._data_particle_type\n <function token>\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n\n\nclass DataParticle(object):\n <docstring token>\n <assignment token>\n <function token>\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n\n def set_internal_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the internal timestamp\n @param timestamp: NTP timestamp to set\n @param unit_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp)\n <function token>\n <function token>\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException('Value %s not available in particle!'\n , id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n\n def data_particle_type(self):\n \"\"\"\n Return the data particle type (aka stream name)\n @raise: NotImplementedException if _data_particle_type is not set\n \"\"\"\n if self._data_particle_type is None:\n raise NotImplementedException('_data_particle_type not initialized'\n )\n return self._data_particle_type\n <function token>\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n\n\nclass DataParticle(object):\n <docstring token>\n <assignment token>\n <function token>\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n\n def set_internal_timestamp(self, timestamp=None, unix_time=None):\n \"\"\"\n Set the internal timestamp\n @param timestamp: NTP timestamp to set\n @param unit_time: Unix time as returned from time.time()\n @raise InstrumentParameterException if timestamp or unix_time not supplied\n \"\"\"\n if timestamp is None and unix_time is None:\n raise InstrumentParameterException(\n 'timestamp or unix_time required')\n if unix_time is not None:\n timestamp = ntplib.system_to_ntp_time(unix_time)\n self.contents[DataParticleKey.INTERNAL_TIMESTAMP] = float(timestamp)\n <function token>\n <function token>\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException('Value %s not available in particle!'\n , id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n <function token>\n <function token>\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n\n\nclass DataParticle(object):\n <docstring token>\n <assignment token>\n <function token>\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n <function token>\n <function token>\n <function token>\n\n def get_value(self, id):\n \"\"\" Return a stored value from contents\n\n @param id The ID (from DataParticleKey) for the parameter to return\n @raises NotImplementedException If there is an invalid id\n \"\"\"\n if DataParticleKey.has(id):\n return self.contents[id]\n else:\n raise NotImplementedException('Value %s not available in particle!'\n , id)\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n <function token>\n <function token>\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n\n\nclass DataParticle(object):\n <docstring token>\n <assignment token>\n <function token>\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n <function token>\n <function token>\n <function token>\n <function token>\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n <function token>\n <function token>\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def get_encoding_errors(self):\n \"\"\"\n Return the encoding errors list\n \"\"\"\n return self._encoding_errors\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n\n\nclass DataParticle(object):\n <docstring token>\n <assignment token>\n <function token>\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n\n @staticmethod\n def _compare(d1, d2, ignore_keys=None):\n ignore_keys = ignore_keys if ignore_keys else []\n missing = set(d1).symmetric_difference(d2)\n differing = {}\n for k in d1:\n if k in ignore_keys or k in missing:\n continue\n if d1[k] != d2[k]:\n differing[k] = d1[k], d2[k]\n return missing, differing\n <function token>\n <function token>\n <function token>\n <function token>\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n <function token>\n <function token>\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n\n\nclass DataParticle(object):\n <docstring token>\n <assignment token>\n <function token>\n\n def __eq__(self, arg):\n \"\"\"\n Quick equality check for testing purposes. If they have the same raw\n data, timestamp, they are the same enough for this particle\n \"\"\"\n allowed_diff = 1e-06\n if self._data_particle_type != arg._data_particle_type:\n log.debug('Data particle type does not match: %s %s', self.\n _data_particle_type, arg._data_particle_type)\n return False\n if self.raw_data != arg.raw_data:\n log.debug('Raw data does not match')\n return False\n t1 = self.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n t2 = arg.contents[DataParticleKey.INTERNAL_TIMESTAMP]\n if t1 is None or t2 is None:\n tdiff = allowed_diff\n else:\n tdiff = abs(t1 - t2)\n if tdiff > allowed_diff:\n log.debug('Timestamp %s does not match %s', t1, t2)\n return False\n generated1 = json.loads(self.generate())\n generated2 = json.loads(arg.generate())\n missing, differing = self._compare(generated1, generated2,\n ignore_keys=[DataParticleKey.DRIVER_TIMESTAMP, DataParticleKey.\n PREFERRED_TIMESTAMP])\n if missing:\n log.error('Key mismatch between particle dictionaries: %r', missing\n )\n return False\n if differing:\n log.error('Value mismatch between particle dictionaries: %r',\n differing)\n return True\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n <function token>\n <function token>\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n\n\nclass DataParticle(object):\n <docstring token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n <function token>\n <function token>\n\n def generate(self, sorted=False):\n \"\"\"\n Generates a JSON_parsed packet from a sample dictionary of sensor data and\n associates a timestamp with it\n\n @param sorted Returned sorted json dict, useful for testing, but slow,\n so dont do it unless it is important\n @return A JSON_raw string, properly structured with port agent time stamp\n and driver timestamp\n @throws InstrumentDriverException If there is a problem with the inputs\n \"\"\"\n json_result = json.dumps(self.generate_dict(), sort_keys=sorted)\n return json_result\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n\n\nclass DataParticle(object):\n <docstring token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def get_value_from_values(self, value_id):\n \"\"\" Return a stored value from values list\n\n @param value_id The ID of the parameter to return\n \"\"\"\n if not self._values:\n return None\n values = [i for i in self._values if i[DataParticleKey.VALUE_ID] ==\n value_id]\n if not values:\n return None\n return values[0][DataParticleKey.VALUE]\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n\n\nclass DataParticle(object):\n <docstring token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RawDataParticleKey(BaseEnum):\n PAYLOAD = 'raw'\n LENGTH = 'length'\n TYPE = 'type'\n CHECKSUM = 'checksum'\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RawDataParticleKey(BaseEnum):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RawDataParticle(DataParticle):\n \"\"\"\n This class a common data particle for generating data particles of raw\n data.\n\n It essentially is a translation of the port agent packet\n \"\"\"\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RawDataParticle(DataParticle):\n <docstring token>\n _data_particle_type = CommonDataParticleType.RAW\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RawDataParticle(DataParticle):\n <docstring token>\n <assignment token>\n\n def _build_parsed_values(self):\n \"\"\"\n Build a particle out of a port agent packet.\n @returns A list that is ready to be added to the \"values\" tag before\n the structure is JSONified\n \"\"\"\n port_agent_packet = self.raw_data\n if not isinstance(port_agent_packet, dict):\n raise SampleException('raw data not a dictionary')\n for param in ['raw', 'length', 'type', 'checksum']:\n if param not in port_agent_packet:\n raise SampleException(\n 'raw data not a complete port agent packet. missing %s' %\n param)\n payload = None\n length = None\n type = None\n checksum = None\n try:\n payload = base64.b64encode(port_agent_packet.get('raw'))\n except TypeError:\n pass\n try:\n length = int(port_agent_packet.get('length'))\n except TypeError:\n pass\n try:\n type = int(port_agent_packet.get('type'))\n except TypeError:\n pass\n try:\n checksum = int(port_agent_packet.get('checksum'))\n except TypeError:\n pass\n result = [{DataParticleKey.VALUE_ID: RawDataParticleKey.PAYLOAD,\n DataParticleKey.VALUE: payload, DataParticleKey.BINARY: True},\n {DataParticleKey.VALUE_ID: RawDataParticleKey.LENGTH,\n DataParticleKey.VALUE: length}, {DataParticleKey.VALUE_ID:\n RawDataParticleKey.TYPE, DataParticleKey.VALUE: type}, {\n DataParticleKey.VALUE_ID: RawDataParticleKey.CHECKSUM,\n DataParticleKey.VALUE: checksum}]\n return result\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RawDataParticle(DataParticle):\n <docstring token>\n <assignment token>\n <function token>\n", "<docstring token>\n<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n" ]
false
98,642
104881b9f4dc1050f922fce4db96978eb5b06c38
from __future__ import print_function, division from functools import partial from nose.tools import assert_list_equal, assert_equal from compiler import compile, Code, Loop lift_str = partial(map, str) def test_str_identity_holds_after_compile(): test_input = [ '+++--->>>.....<', '+++---[>.<]...<', '+++[-+.][>+.]>....<', '[-+.][>+.]>....<', '+++[-+.][>+.]', '+++[-+[++].][>+.]', '[[[[[[[[++]]]]]]]]', '[>[>[>[>[>[>[>[++]]]]]]]]' ] assert_list_equal( lift_str(map(compile, test_input)), lift_str(test_input), ) def test_count(): def assert_compile_count_equal(code, count): assert_equal(compile(code).n_splits(), count) programs, counts = zip( *[ ('', 1), ('+', 2), ('++', 3), ('+++', 4), ('[]', 3), ('[][]', 5), ('[][][]', 7), ('[+]', 4), ('[+][+]', 7), ('+[+]', 5), ('+[+]+', 6), ('+[++]+', 7), ('[[]]', 5), ('[[[]]]', 7), ('[+[[]]]', 8), ('[+[+[]]]', 9), ] ) for program, count in zip(programs, counts): yield assert_compile_count_equal, program, count
[ "from __future__ import print_function, division\n\nfrom functools import partial\nfrom nose.tools import assert_list_equal, assert_equal\n\nfrom compiler import compile, Code, Loop\n\n\nlift_str = partial(map, str)\n\n\ndef test_str_identity_holds_after_compile():\n test_input = [\n '+++--->>>.....<',\n '+++---[>.<]...<',\n '+++[-+.][>+.]>....<',\n '[-+.][>+.]>....<',\n '+++[-+.][>+.]',\n '+++[-+[++].][>+.]',\n '[[[[[[[[++]]]]]]]]',\n '[>[>[>[>[>[>[>[++]]]]]]]]'\n ]\n\n assert_list_equal(\n lift_str(map(compile, test_input)),\n lift_str(test_input),\n )\n\ndef test_count():\n def assert_compile_count_equal(code, count):\n assert_equal(compile(code).n_splits(), count)\n\n programs, counts = zip(\n *[\n ('', 1),\n ('+', 2),\n ('++', 3),\n ('+++', 4),\n ('[]', 3),\n ('[][]', 5),\n ('[][][]', 7),\n ('[+]', 4),\n ('[+][+]', 7),\n ('+[+]', 5),\n ('+[+]+', 6),\n ('+[++]+', 7),\n ('[[]]', 5),\n ('[[[]]]', 7),\n ('[+[[]]]', 8),\n ('[+[+[]]]', 9),\n ]\n )\n\n for program, count in zip(programs, counts):\n yield assert_compile_count_equal, program, count\n", "from __future__ import print_function, division\nfrom functools import partial\nfrom nose.tools import assert_list_equal, assert_equal\nfrom compiler import compile, Code, Loop\nlift_str = partial(map, str)\n\n\ndef test_str_identity_holds_after_compile():\n test_input = ['+++--->>>.....<', '+++---[>.<]...<',\n '+++[-+.][>+.]>....<', '[-+.][>+.]>....<', '+++[-+.][>+.]',\n '+++[-+[++].][>+.]', '[[[[[[[[++]]]]]]]]', '[>[>[>[>[>[>[>[++]]]]]]]]']\n assert_list_equal(lift_str(map(compile, test_input)), lift_str(test_input))\n\n\ndef test_count():\n\n def assert_compile_count_equal(code, count):\n assert_equal(compile(code).n_splits(), count)\n programs, counts = zip(*[('', 1), ('+', 2), ('++', 3), ('+++', 4), (\n '[]', 3), ('[][]', 5), ('[][][]', 7), ('[+]', 4), ('[+][+]', 7), (\n '+[+]', 5), ('+[+]+', 6), ('+[++]+', 7), ('[[]]', 5), ('[[[]]]', 7),\n ('[+[[]]]', 8), ('[+[+[]]]', 9)])\n for program, count in zip(programs, counts):\n yield assert_compile_count_equal, program, count\n", "<import token>\nlift_str = partial(map, str)\n\n\ndef test_str_identity_holds_after_compile():\n test_input = ['+++--->>>.....<', '+++---[>.<]...<',\n '+++[-+.][>+.]>....<', '[-+.][>+.]>....<', '+++[-+.][>+.]',\n '+++[-+[++].][>+.]', '[[[[[[[[++]]]]]]]]', '[>[>[>[>[>[>[>[++]]]]]]]]']\n assert_list_equal(lift_str(map(compile, test_input)), lift_str(test_input))\n\n\ndef test_count():\n\n def assert_compile_count_equal(code, count):\n assert_equal(compile(code).n_splits(), count)\n programs, counts = zip(*[('', 1), ('+', 2), ('++', 3), ('+++', 4), (\n '[]', 3), ('[][]', 5), ('[][][]', 7), ('[+]', 4), ('[+][+]', 7), (\n '+[+]', 5), ('+[+]+', 6), ('+[++]+', 7), ('[[]]', 5), ('[[[]]]', 7),\n ('[+[[]]]', 8), ('[+[+[]]]', 9)])\n for program, count in zip(programs, counts):\n yield assert_compile_count_equal, program, count\n", "<import token>\n<assignment token>\n\n\ndef test_str_identity_holds_after_compile():\n test_input = ['+++--->>>.....<', '+++---[>.<]...<',\n '+++[-+.][>+.]>....<', '[-+.][>+.]>....<', '+++[-+.][>+.]',\n '+++[-+[++].][>+.]', '[[[[[[[[++]]]]]]]]', '[>[>[>[>[>[>[>[++]]]]]]]]']\n assert_list_equal(lift_str(map(compile, test_input)), lift_str(test_input))\n\n\ndef test_count():\n\n def assert_compile_count_equal(code, count):\n assert_equal(compile(code).n_splits(), count)\n programs, counts = zip(*[('', 1), ('+', 2), ('++', 3), ('+++', 4), (\n '[]', 3), ('[][]', 5), ('[][][]', 7), ('[+]', 4), ('[+][+]', 7), (\n '+[+]', 5), ('+[+]+', 6), ('+[++]+', 7), ('[[]]', 5), ('[[[]]]', 7),\n ('[+[[]]]', 8), ('[+[+[]]]', 9)])\n for program, count in zip(programs, counts):\n yield assert_compile_count_equal, program, count\n", "<import token>\n<assignment token>\n<function token>\n\n\ndef test_count():\n\n def assert_compile_count_equal(code, count):\n assert_equal(compile(code).n_splits(), count)\n programs, counts = zip(*[('', 1), ('+', 2), ('++', 3), ('+++', 4), (\n '[]', 3), ('[][]', 5), ('[][][]', 7), ('[+]', 4), ('[+][+]', 7), (\n '+[+]', 5), ('+[+]+', 6), ('+[++]+', 7), ('[[]]', 5), ('[[[]]]', 7),\n ('[+[[]]]', 8), ('[+[+[]]]', 9)])\n for program, count in zip(programs, counts):\n yield assert_compile_count_equal, program, count\n", "<import token>\n<assignment token>\n<function token>\n<function token>\n" ]
false
98,643
14ca4658a0b7e9f2a77de29cb2a12cab4ac90edd
# -*- coding: utf-8 -*- import os import datetime import logging import re import config from classes import * from detalhe_clube import DetalheClube from lib import gera_icc_para_jogo from lib.detalhe_icc import DetalheICC class DetalheClubeIndices(DetalheClube): # memcache vars cache_namespace = "detalhe_clube_indices" render_this_page_without_main = True def get(self): self.decontaminate_vars() self.checkCacheFreshen() self.requestHandler() return def renderDados(self): # obter a lista de lances ordenadinhos lista_lances = Lance.gql("WHERE lan_epoca = :1 and lan_clubes = :2 ORDER by lan_data, lan_nome", self.epoca, self.clube.key()).fetch(1000) # obter a fonte dos lances -- usar a época toda! acu_jornadas = {} acumuladores = AcumuladorJornada.all().filter("acuj_epoca = ", self.epoca).filter("acuj_versao = ", config.VERSAO_ACUMULADOR) for acu in acumuladores: acu_jornadas[acu.acuj_jornada.jor_nome] = acu.acuj_content detalhe_icc = DetalheICC() detalhe_icc.setLances(lista_lances) detalhe_icc.setClube(self.clube) detalhe_icc.setAcumuladoresJornadas(acu_jornadas) resultados = detalhe_icc.gera() jogos = resultados["jogos"] total_icc_beneficio = resultados["total_icc_beneficio"] total_icc_prejuizo = resultados["total_icc_prejuizo"] total_icc = (total_icc_beneficio + total_icc_prejuizo) return {"jogos":jogos, "total_icc_beneficio":total_icc_beneficio, "total_icc_prejuizo":total_icc_prejuizo, "total_icc":total_icc} def renderHTML(self): html = self.render_subdir('clube','detalhe_clube_indices.html', { "detalhe_icc_dados":self.dados, "clube":self.clube, "epoca":self.epoca, "data":datetime.datetime.now() }) return html
[ "# -*- coding: utf-8 -*-\n\nimport os\nimport datetime\nimport logging\nimport re\nimport config \n\nfrom classes import *\nfrom detalhe_clube import DetalheClube\nfrom lib import gera_icc_para_jogo\nfrom lib.detalhe_icc import DetalheICC\n\nclass DetalheClubeIndices(DetalheClube):\n\t\t\n\t# memcache vars\n\tcache_namespace = \"detalhe_clube_indices\"\n\trender_this_page_without_main = True\n\n\tdef get(self):\n\t\tself.decontaminate_vars()\n\t\tself.checkCacheFreshen()\n\t\tself.requestHandler()\n\t\treturn \n\n\tdef renderDados(self):\n\t\t\n\t\t# obter a lista de lances ordenadinhos\n\t\tlista_lances = Lance.gql(\"WHERE lan_epoca = :1 and lan_clubes = :2 ORDER by lan_data, lan_nome\", self.epoca, self.clube.key()).fetch(1000)\n\n\t\t# obter a fonte dos lances -- usar a época toda!\n\t\tacu_jornadas = {}\n\t\tacumuladores = AcumuladorJornada.all().filter(\"acuj_epoca = \", self.epoca).filter(\"acuj_versao = \", config.VERSAO_ACUMULADOR)\n\t\tfor acu in acumuladores:\n\t\t\tacu_jornadas[acu.acuj_jornada.jor_nome] = acu.acuj_content\n\t\t\n\t\tdetalhe_icc = DetalheICC()\n\t\tdetalhe_icc.setLances(lista_lances)\n\t\tdetalhe_icc.setClube(self.clube)\n\t\tdetalhe_icc.setAcumuladoresJornadas(acu_jornadas)\n\t\tresultados = detalhe_icc.gera()\n\t\t\n\t\tjogos = resultados[\"jogos\"]\n\t\ttotal_icc_beneficio = resultados[\"total_icc_beneficio\"]\n\t\ttotal_icc_prejuizo = resultados[\"total_icc_prejuizo\"]\n\t\ttotal_icc = (total_icc_beneficio + total_icc_prejuizo)\n\t\t\n\t\treturn {\"jogos\":jogos, \"total_icc_beneficio\":total_icc_beneficio, \n\t\t\t\"total_icc_prejuizo\":total_icc_prejuizo, \"total_icc\":total_icc}\n\t\t\n\tdef renderHTML(self):\n\t\t\n\t\thtml = self.render_subdir('clube','detalhe_clube_indices.html', {\n\t\t\t\"detalhe_icc_dados\":self.dados,\n\t\t\t\"clube\":self.clube,\n\t\t\t\"epoca\":self.epoca,\n\t\t\t\"data\":datetime.datetime.now()\n\t\t})\n\t\n\t\treturn html", "import os\nimport datetime\nimport logging\nimport re\nimport config\nfrom classes import *\nfrom detalhe_clube import DetalheClube\nfrom lib import gera_icc_para_jogo\nfrom lib.detalhe_icc import DetalheICC\n\n\nclass DetalheClubeIndices(DetalheClube):\n cache_namespace = 'detalhe_clube_indices'\n render_this_page_without_main = True\n\n def get(self):\n self.decontaminate_vars()\n self.checkCacheFreshen()\n self.requestHandler()\n return\n\n def renderDados(self):\n lista_lances = Lance.gql(\n 'WHERE lan_epoca = :1 and lan_clubes = :2 ORDER by lan_data, lan_nome'\n , self.epoca, self.clube.key()).fetch(1000)\n acu_jornadas = {}\n acumuladores = AcumuladorJornada.all().filter('acuj_epoca = ', self\n .epoca).filter('acuj_versao = ', config.VERSAO_ACUMULADOR)\n for acu in acumuladores:\n acu_jornadas[acu.acuj_jornada.jor_nome] = acu.acuj_content\n detalhe_icc = DetalheICC()\n detalhe_icc.setLances(lista_lances)\n detalhe_icc.setClube(self.clube)\n detalhe_icc.setAcumuladoresJornadas(acu_jornadas)\n resultados = detalhe_icc.gera()\n jogos = resultados['jogos']\n total_icc_beneficio = resultados['total_icc_beneficio']\n total_icc_prejuizo = resultados['total_icc_prejuizo']\n total_icc = total_icc_beneficio + total_icc_prejuizo\n return {'jogos': jogos, 'total_icc_beneficio': total_icc_beneficio,\n 'total_icc_prejuizo': total_icc_prejuizo, 'total_icc': total_icc}\n\n def renderHTML(self):\n html = self.render_subdir('clube', 'detalhe_clube_indices.html', {\n 'detalhe_icc_dados': self.dados, 'clube': self.clube, 'epoca':\n self.epoca, 'data': datetime.datetime.now()})\n return html\n", "<import token>\n\n\nclass DetalheClubeIndices(DetalheClube):\n cache_namespace = 'detalhe_clube_indices'\n render_this_page_without_main = True\n\n def get(self):\n self.decontaminate_vars()\n self.checkCacheFreshen()\n self.requestHandler()\n return\n\n def renderDados(self):\n lista_lances = Lance.gql(\n 'WHERE lan_epoca = :1 and lan_clubes = :2 ORDER by lan_data, lan_nome'\n , self.epoca, self.clube.key()).fetch(1000)\n acu_jornadas = {}\n acumuladores = AcumuladorJornada.all().filter('acuj_epoca = ', self\n .epoca).filter('acuj_versao = ', config.VERSAO_ACUMULADOR)\n for acu in acumuladores:\n acu_jornadas[acu.acuj_jornada.jor_nome] = acu.acuj_content\n detalhe_icc = DetalheICC()\n detalhe_icc.setLances(lista_lances)\n detalhe_icc.setClube(self.clube)\n detalhe_icc.setAcumuladoresJornadas(acu_jornadas)\n resultados = detalhe_icc.gera()\n jogos = resultados['jogos']\n total_icc_beneficio = resultados['total_icc_beneficio']\n total_icc_prejuizo = resultados['total_icc_prejuizo']\n total_icc = total_icc_beneficio + total_icc_prejuizo\n return {'jogos': jogos, 'total_icc_beneficio': total_icc_beneficio,\n 'total_icc_prejuizo': total_icc_prejuizo, 'total_icc': total_icc}\n\n def renderHTML(self):\n html = self.render_subdir('clube', 'detalhe_clube_indices.html', {\n 'detalhe_icc_dados': self.dados, 'clube': self.clube, 'epoca':\n self.epoca, 'data': datetime.datetime.now()})\n return html\n", "<import token>\n\n\nclass DetalheClubeIndices(DetalheClube):\n <assignment token>\n <assignment token>\n\n def get(self):\n self.decontaminate_vars()\n self.checkCacheFreshen()\n self.requestHandler()\n return\n\n def renderDados(self):\n lista_lances = Lance.gql(\n 'WHERE lan_epoca = :1 and lan_clubes = :2 ORDER by lan_data, lan_nome'\n , self.epoca, self.clube.key()).fetch(1000)\n acu_jornadas = {}\n acumuladores = AcumuladorJornada.all().filter('acuj_epoca = ', self\n .epoca).filter('acuj_versao = ', config.VERSAO_ACUMULADOR)\n for acu in acumuladores:\n acu_jornadas[acu.acuj_jornada.jor_nome] = acu.acuj_content\n detalhe_icc = DetalheICC()\n detalhe_icc.setLances(lista_lances)\n detalhe_icc.setClube(self.clube)\n detalhe_icc.setAcumuladoresJornadas(acu_jornadas)\n resultados = detalhe_icc.gera()\n jogos = resultados['jogos']\n total_icc_beneficio = resultados['total_icc_beneficio']\n total_icc_prejuizo = resultados['total_icc_prejuizo']\n total_icc = total_icc_beneficio + total_icc_prejuizo\n return {'jogos': jogos, 'total_icc_beneficio': total_icc_beneficio,\n 'total_icc_prejuizo': total_icc_prejuizo, 'total_icc': total_icc}\n\n def renderHTML(self):\n html = self.render_subdir('clube', 'detalhe_clube_indices.html', {\n 'detalhe_icc_dados': self.dados, 'clube': self.clube, 'epoca':\n self.epoca, 'data': datetime.datetime.now()})\n return html\n", "<import token>\n\n\nclass DetalheClubeIndices(DetalheClube):\n <assignment token>\n <assignment token>\n <function token>\n\n def renderDados(self):\n lista_lances = Lance.gql(\n 'WHERE lan_epoca = :1 and lan_clubes = :2 ORDER by lan_data, lan_nome'\n , self.epoca, self.clube.key()).fetch(1000)\n acu_jornadas = {}\n acumuladores = AcumuladorJornada.all().filter('acuj_epoca = ', self\n .epoca).filter('acuj_versao = ', config.VERSAO_ACUMULADOR)\n for acu in acumuladores:\n acu_jornadas[acu.acuj_jornada.jor_nome] = acu.acuj_content\n detalhe_icc = DetalheICC()\n detalhe_icc.setLances(lista_lances)\n detalhe_icc.setClube(self.clube)\n detalhe_icc.setAcumuladoresJornadas(acu_jornadas)\n resultados = detalhe_icc.gera()\n jogos = resultados['jogos']\n total_icc_beneficio = resultados['total_icc_beneficio']\n total_icc_prejuizo = resultados['total_icc_prejuizo']\n total_icc = total_icc_beneficio + total_icc_prejuizo\n return {'jogos': jogos, 'total_icc_beneficio': total_icc_beneficio,\n 'total_icc_prejuizo': total_icc_prejuizo, 'total_icc': total_icc}\n\n def renderHTML(self):\n html = self.render_subdir('clube', 'detalhe_clube_indices.html', {\n 'detalhe_icc_dados': self.dados, 'clube': self.clube, 'epoca':\n self.epoca, 'data': datetime.datetime.now()})\n return html\n", "<import token>\n\n\nclass DetalheClubeIndices(DetalheClube):\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n\n def renderHTML(self):\n html = self.render_subdir('clube', 'detalhe_clube_indices.html', {\n 'detalhe_icc_dados': self.dados, 'clube': self.clube, 'epoca':\n self.epoca, 'data': datetime.datetime.now()})\n return html\n", "<import token>\n\n\nclass DetalheClubeIndices(DetalheClube):\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n", "<import token>\n<class token>\n" ]
false
98,644
3d7275540d8854f4a17b6f8b050df258a110e231
# coding: utf8 from __future__ import unicode_literals, print_function, division from unittest import TestCase from mock import Mock class Tests(TestCase): def test_validators(self): from pytsammalex.models import regex_validator, convert_date, valid_coordinates with self.assertRaises(ValueError): regex_validator('[a-z]+', None, Mock(), '') regex_validator('[a-z]+', None, Mock(), '', allow_empty=True) with self.assertRaises(ValueError): convert_date('2008Jan21') with self.assertRaises(ValueError): valid_coordinates(None, Mock(), (91.0, 45.0)) def test_Images(self): from pytsammalex.models import Images row = "47a4a90a6fb76d027e7db2d383973e1d,motacillaflava,general;thumbnail1," \ "image/jpeg,,,2008-12-28,,50.567634 30.301384," \ "https://creativecommons.org/," \ "http://commons.wikimedia.org/wiki/File:Motacilla_flava_Horenka2.jpg,"\ .split(',') self.assertEqual(Images(*row).csv_row(), row)
[ "# coding: utf8\nfrom __future__ import unicode_literals, print_function, division\nfrom unittest import TestCase\n\nfrom mock import Mock\n\n\nclass Tests(TestCase):\n def test_validators(self):\n from pytsammalex.models import regex_validator, convert_date, valid_coordinates\n\n with self.assertRaises(ValueError):\n regex_validator('[a-z]+', None, Mock(), '')\n regex_validator('[a-z]+', None, Mock(), '', allow_empty=True)\n\n with self.assertRaises(ValueError):\n convert_date('2008Jan21')\n\n with self.assertRaises(ValueError):\n valid_coordinates(None, Mock(), (91.0, 45.0))\n\n def test_Images(self):\n from pytsammalex.models import Images\n\n row = \"47a4a90a6fb76d027e7db2d383973e1d,motacillaflava,general;thumbnail1,\" \\\n \"image/jpeg,,,2008-12-28,,50.567634 30.301384,\" \\\n \"https://creativecommons.org/,\" \\\n \"http://commons.wikimedia.org/wiki/File:Motacilla_flava_Horenka2.jpg,\"\\\n .split(',')\n self.assertEqual(Images(*row).csv_row(), row)\n", "from __future__ import unicode_literals, print_function, division\nfrom unittest import TestCase\nfrom mock import Mock\n\n\nclass Tests(TestCase):\n\n def test_validators(self):\n from pytsammalex.models import regex_validator, convert_date, valid_coordinates\n with self.assertRaises(ValueError):\n regex_validator('[a-z]+', None, Mock(), '')\n regex_validator('[a-z]+', None, Mock(), '', allow_empty=True)\n with self.assertRaises(ValueError):\n convert_date('2008Jan21')\n with self.assertRaises(ValueError):\n valid_coordinates(None, Mock(), (91.0, 45.0))\n\n def test_Images(self):\n from pytsammalex.models import Images\n row = (\n '47a4a90a6fb76d027e7db2d383973e1d,motacillaflava,general;thumbnail1,image/jpeg,,,2008-12-28,,50.567634 30.301384,https://creativecommons.org/,http://commons.wikimedia.org/wiki/File:Motacilla_flava_Horenka2.jpg,'\n .split(','))\n self.assertEqual(Images(*row).csv_row(), row)\n", "<import token>\n\n\nclass Tests(TestCase):\n\n def test_validators(self):\n from pytsammalex.models import regex_validator, convert_date, valid_coordinates\n with self.assertRaises(ValueError):\n regex_validator('[a-z]+', None, Mock(), '')\n regex_validator('[a-z]+', None, Mock(), '', allow_empty=True)\n with self.assertRaises(ValueError):\n convert_date('2008Jan21')\n with self.assertRaises(ValueError):\n valid_coordinates(None, Mock(), (91.0, 45.0))\n\n def test_Images(self):\n from pytsammalex.models import Images\n row = (\n '47a4a90a6fb76d027e7db2d383973e1d,motacillaflava,general;thumbnail1,image/jpeg,,,2008-12-28,,50.567634 30.301384,https://creativecommons.org/,http://commons.wikimedia.org/wiki/File:Motacilla_flava_Horenka2.jpg,'\n .split(','))\n self.assertEqual(Images(*row).csv_row(), row)\n", "<import token>\n\n\nclass Tests(TestCase):\n <function token>\n\n def test_Images(self):\n from pytsammalex.models import Images\n row = (\n '47a4a90a6fb76d027e7db2d383973e1d,motacillaflava,general;thumbnail1,image/jpeg,,,2008-12-28,,50.567634 30.301384,https://creativecommons.org/,http://commons.wikimedia.org/wiki/File:Motacilla_flava_Horenka2.jpg,'\n .split(','))\n self.assertEqual(Images(*row).csv_row(), row)\n", "<import token>\n\n\nclass Tests(TestCase):\n <function token>\n <function token>\n", "<import token>\n<class token>\n" ]
false
98,645
f64d5a197dac377c606088fcae37c5369c70224a
#12. Escreva uma função que recebe um número inteiro e retorna a mensagem “O número é múltiplo de 7” ou “O #número não é múltiplo de 7”. def mult(a): if a % 7 == 0: return "O número é múltiplo de 7" else: return "O número não é múltiplo de 7" try: a = int(input("Forneça um valor inteiro: ")) print(mult(a)) except: print("Não foi fornecido um valor inteiro.")
[ "#12. Escreva\tuma\tfunção\tque\trecebe\tum\tnúmero\tinteiro\te\tretorna\ta mensagem\t“O\tnúmero\té\tmúltiplo\tde\t7”\tou\t“O\t\r\n#número\tnão\té\tmúltiplo\tde\t7”.\r\ndef mult(a):\r\n\r\n\tif a % 7 == 0:\r\n\r\n\t\treturn \"O número é múltiplo de 7\"\r\n\r\n\telse:\r\n\r\n\t\treturn \"O número não é múltiplo de 7\"\r\n\r\ntry:\r\n\r\n\ta = int(input(\"Forneça um valor inteiro: \"))\r\n\r\n\tprint(mult(a))\r\n\r\nexcept:\r\n\r\n\tprint(\"Não foi fornecido um valor inteiro.\")\r\n", "def mult(a):\n if a % 7 == 0:\n return 'O número é múltiplo de 7'\n else:\n return 'O número não é múltiplo de 7'\n\n\ntry:\n a = int(input('Forneça um valor inteiro: '))\n print(mult(a))\nexcept:\n print('Não foi fornecido um valor inteiro.')\n", "def mult(a):\n if a % 7 == 0:\n return 'O número é múltiplo de 7'\n else:\n return 'O número não é múltiplo de 7'\n\n\n<code token>\n", "<function token>\n<code token>\n" ]
false
98,646
5be35fce8c7f0f7429cddcbb167df3da5141317a
""" @file @brief Various functions to install some applications such as `Git <http://www.git-scm.com/>`_. """ from __future__ import print_function import sys import re import os from ..installhelper.install_cmd_helper import run_cmd from .install_custom import download_page, download_file def install_git( temp_folder=".", fLOG=print, install=True, force_download=False, version=None): """ Install `Git <http://www.git-scm.com/>`_. It does not do it a second time if it is already installed. @param temp_folder where to download the setup @param fLOG logging function @param install install (otherwise only download) @param force_download force the downloading of Git @param version specify a version (unused) @return temporary file """ if version is not None: raise ValueError("cannot specify a version") if sys.platform.startswith("win"): link = "http://www.git-scm.com/download/win" page = download_page(link) reg = re.compile("href=\\\"(.*?64-bit[.]((msi)|(exe)))\\\"") alls = reg.findall(page) if len(alls) == 0: raise AssertionError( "unable to find a link on a .msi file on page: " + link + "\n" + page) url = alls[0][0] full = url.split("/")[-1] outfile = os.path.join(temp_folder, full) fLOG("[pymy] download ", url) local = download_file(url, outfile) if install: run_cmd("msiexec /i " + local, fLOG=fLOG, wait=True) return local else: raise NotImplementedError("not available on platform " + sys.platform)
[ "\"\"\"\n@file\n@brief Various functions to install some applications such as `Git <http://www.git-scm.com/>`_.\n\"\"\"\nfrom __future__ import print_function\nimport sys\nimport re\nimport os\n\nfrom ..installhelper.install_cmd_helper import run_cmd\nfrom .install_custom import download_page, download_file\n\n\ndef install_git(\n temp_folder=\".\", fLOG=print, install=True, force_download=False, version=None):\n \"\"\"\n Install `Git <http://www.git-scm.com/>`_.\n It does not do it a second time if it is already installed.\n\n @param temp_folder where to download the setup\n @param fLOG logging function\n @param install install (otherwise only download)\n @param force_download force the downloading of Git\n @param version specify a version (unused)\n @return temporary file\n \"\"\"\n if version is not None:\n raise ValueError(\"cannot specify a version\")\n if sys.platform.startswith(\"win\"):\n link = \"http://www.git-scm.com/download/win\"\n page = download_page(link)\n reg = re.compile(\"href=\\\\\\\"(.*?64-bit[.]((msi)|(exe)))\\\\\\\"\")\n alls = reg.findall(page)\n if len(alls) == 0:\n raise AssertionError(\n \"unable to find a link on a .msi file on page: \" + link + \"\\n\" +\n page)\n\n url = alls[0][0]\n full = url.split(\"/\")[-1]\n outfile = os.path.join(temp_folder, full)\n fLOG(\"[pymy] download \", url)\n local = download_file(url, outfile)\n if install:\n run_cmd(\"msiexec /i \" + local, fLOG=fLOG, wait=True)\n return local\n else:\n raise NotImplementedError(\"not available on platform \" + sys.platform)\n", "<docstring token>\nfrom __future__ import print_function\nimport sys\nimport re\nimport os\nfrom ..installhelper.install_cmd_helper import run_cmd\nfrom .install_custom import download_page, download_file\n\n\ndef install_git(temp_folder='.', fLOG=print, install=True, force_download=\n False, version=None):\n \"\"\"\n Install `Git <http://www.git-scm.com/>`_.\n It does not do it a second time if it is already installed.\n\n @param temp_folder where to download the setup\n @param fLOG logging function\n @param install install (otherwise only download)\n @param force_download force the downloading of Git\n @param version specify a version (unused)\n @return temporary file\n \"\"\"\n if version is not None:\n raise ValueError('cannot specify a version')\n if sys.platform.startswith('win'):\n link = 'http://www.git-scm.com/download/win'\n page = download_page(link)\n reg = re.compile('href=\\\\\"(.*?64-bit[.]((msi)|(exe)))\\\\\"')\n alls = reg.findall(page)\n if len(alls) == 0:\n raise AssertionError(\n 'unable to find a link on a .msi file on page: ' + link +\n '\\n' + page)\n url = alls[0][0]\n full = url.split('/')[-1]\n outfile = os.path.join(temp_folder, full)\n fLOG('[pymy] download ', url)\n local = download_file(url, outfile)\n if install:\n run_cmd('msiexec /i ' + local, fLOG=fLOG, wait=True)\n return local\n else:\n raise NotImplementedError('not available on platform ' + sys.platform)\n", "<docstring token>\n<import token>\n\n\ndef install_git(temp_folder='.', fLOG=print, install=True, force_download=\n False, version=None):\n \"\"\"\n Install `Git <http://www.git-scm.com/>`_.\n It does not do it a second time if it is already installed.\n\n @param temp_folder where to download the setup\n @param fLOG logging function\n @param install install (otherwise only download)\n @param force_download force the downloading of Git\n @param version specify a version (unused)\n @return temporary file\n \"\"\"\n if version is not None:\n raise ValueError('cannot specify a version')\n if sys.platform.startswith('win'):\n link = 'http://www.git-scm.com/download/win'\n page = download_page(link)\n reg = re.compile('href=\\\\\"(.*?64-bit[.]((msi)|(exe)))\\\\\"')\n alls = reg.findall(page)\n if len(alls) == 0:\n raise AssertionError(\n 'unable to find a link on a .msi file on page: ' + link +\n '\\n' + page)\n url = alls[0][0]\n full = url.split('/')[-1]\n outfile = os.path.join(temp_folder, full)\n fLOG('[pymy] download ', url)\n local = download_file(url, outfile)\n if install:\n run_cmd('msiexec /i ' + local, fLOG=fLOG, wait=True)\n return local\n else:\n raise NotImplementedError('not available on platform ' + sys.platform)\n", "<docstring token>\n<import token>\n<function token>\n" ]
false
98,647
02213d34b88b15d7bfee350ec2d3b834e1c817e7
list1 = [] list2 = [] N = int(input()) for i in range(0, N): num = int(input()) list1.append(num) def count(num): b = d = num count = 0 while num != 0: num //= 10 count += 1 if count > 2: a = 0 while a <= 1: d = d / 10 a = a + 1 d = int(d) c = b - d * 100 list2.append(c) else: list2.append(b) def digits(n): largest = 0 smallest = 9 while (n): r = n % 10 smallest = min(r, smallest) largest = max(r, largest) n = n // 10 bit = smallest * 7 + largest * 11 count(bit) for j in list1: digits(j) pair = 0 count = 0 for k in range(0, len(list2) - 1): l = 2 while k + l < len(list2): if list2[k] == list2[k + l]: pair += 1 elif int((list2[k]) / 10) == int((list2[k + l]) / 10): count += 1 l += 2 if count > 2: pair = pair + 2 elif count == 0: pair = pair + 0 else: pair = pair + 1 print(pair)
[ "list1 = []\r\nlist2 = []\r\n\r\nN = int(input())\r\n\r\nfor i in range(0, N):\r\n num = int(input())\r\n list1.append(num)\r\n\r\ndef count(num):\r\n b = d = num\r\n count = 0\r\n\r\n while num != 0:\r\n num //= 10\r\n count += 1\r\n\r\n if count > 2:\r\n a = 0\r\n while a <= 1:\r\n d = d / 10\r\n a = a + 1\r\n\r\n d = int(d)\r\n\r\n c = b - d * 100\r\n list2.append(c)\r\n else:\r\n list2.append(b)\r\n\r\n\r\ndef digits(n):\r\n largest = 0\r\n smallest = 9\r\n\r\n while (n):\r\n r = n % 10\r\n\r\n smallest = min(r, smallest)\r\n largest = max(r, largest)\r\n\r\n n = n // 10\r\n\r\n bit = smallest * 7 + largest * 11\r\n count(bit)\r\n\r\nfor j in list1:\r\n digits(j)\r\n\r\npair = 0\r\ncount = 0\r\n\r\nfor k in range(0, len(list2) - 1):\r\n l = 2\r\n\r\n while k + l < len(list2):\r\n if list2[k] == list2[k + l]:\r\n pair += 1\r\n elif int((list2[k]) / 10) == int((list2[k + l]) / 10):\r\n count += 1\r\n l += 2\r\n\r\nif count > 2:\r\n pair = pair + 2\r\nelif count == 0:\r\n pair = pair + 0\r\nelse:\r\n pair = pair + 1\r\nprint(pair)\r\n\r\n\r\n\r\n", "list1 = []\nlist2 = []\nN = int(input())\nfor i in range(0, N):\n num = int(input())\n list1.append(num)\n\n\ndef count(num):\n b = d = num\n count = 0\n while num != 0:\n num //= 10\n count += 1\n if count > 2:\n a = 0\n while a <= 1:\n d = d / 10\n a = a + 1\n d = int(d)\n c = b - d * 100\n list2.append(c)\n else:\n list2.append(b)\n\n\ndef digits(n):\n largest = 0\n smallest = 9\n while n:\n r = n % 10\n smallest = min(r, smallest)\n largest = max(r, largest)\n n = n // 10\n bit = smallest * 7 + largest * 11\n count(bit)\n\n\nfor j in list1:\n digits(j)\npair = 0\ncount = 0\nfor k in range(0, len(list2) - 1):\n l = 2\n while k + l < len(list2):\n if list2[k] == list2[k + l]:\n pair += 1\n elif int(list2[k] / 10) == int(list2[k + l] / 10):\n count += 1\n l += 2\nif count > 2:\n pair = pair + 2\nelif count == 0:\n pair = pair + 0\nelse:\n pair = pair + 1\nprint(pair)\n", "<assignment token>\nfor i in range(0, N):\n num = int(input())\n list1.append(num)\n\n\ndef count(num):\n b = d = num\n count = 0\n while num != 0:\n num //= 10\n count += 1\n if count > 2:\n a = 0\n while a <= 1:\n d = d / 10\n a = a + 1\n d = int(d)\n c = b - d * 100\n list2.append(c)\n else:\n list2.append(b)\n\n\ndef digits(n):\n largest = 0\n smallest = 9\n while n:\n r = n % 10\n smallest = min(r, smallest)\n largest = max(r, largest)\n n = n // 10\n bit = smallest * 7 + largest * 11\n count(bit)\n\n\nfor j in list1:\n digits(j)\n<assignment token>\nfor k in range(0, len(list2) - 1):\n l = 2\n while k + l < len(list2):\n if list2[k] == list2[k + l]:\n pair += 1\n elif int(list2[k] / 10) == int(list2[k + l] / 10):\n count += 1\n l += 2\nif count > 2:\n pair = pair + 2\nelif count == 0:\n pair = pair + 0\nelse:\n pair = pair + 1\nprint(pair)\n", "<assignment token>\n<code token>\n\n\ndef count(num):\n b = d = num\n count = 0\n while num != 0:\n num //= 10\n count += 1\n if count > 2:\n a = 0\n while a <= 1:\n d = d / 10\n a = a + 1\n d = int(d)\n c = b - d * 100\n list2.append(c)\n else:\n list2.append(b)\n\n\ndef digits(n):\n largest = 0\n smallest = 9\n while n:\n r = n % 10\n smallest = min(r, smallest)\n largest = max(r, largest)\n n = n // 10\n bit = smallest * 7 + largest * 11\n count(bit)\n\n\n<code token>\n<assignment token>\n<code token>\n", "<assignment token>\n<code token>\n\n\ndef count(num):\n b = d = num\n count = 0\n while num != 0:\n num //= 10\n count += 1\n if count > 2:\n a = 0\n while a <= 1:\n d = d / 10\n a = a + 1\n d = int(d)\n c = b - d * 100\n list2.append(c)\n else:\n list2.append(b)\n\n\n<function token>\n<code token>\n<assignment token>\n<code token>\n", "<assignment token>\n<code token>\n<function token>\n<function token>\n<code token>\n<assignment token>\n<code token>\n" ]
false
98,648
b21cc3b09fa15125254c5e08fbacf0ac23489a03
""" 1029 """ from typing import List import heapq class Solution: # clarification # any restrictions on time/space complexity? (e.g. timeout/memory...) # upper/lower bound of costs[i]? # length of costs? # is is possible to have multiple distributions that meets the same cost? (e.g. [[1,1],[2,2]] ) # sort approach # need to sort costs with diff of (cost_a - cost_b) # assume everyone goes to city A, then pick n people to city B which can save most money # python has lambda syntax, (e.g. lambda x, y = x-y), using timsort (hybrid with insertion+mergesort) # time complexity: timsort avg case O(2Nlog2N), best case O(2N), worst case O(2Nlog2N) # space complexity: O(2N) for timsort with diff array (is hidden under sort lambda syntax) def twoCitySchedCost_sort(self, costs: List[List[int]]) -> int: costs.sort(key=lambda x: x[1]-x[0]) N = len(costs)//2 ans = 0 for i in range(N): ans += costs[i][1] for j in range(N, 2*N): ans += costs[j][0] return ans # heap approach # pick while go through the array, meanwhile maintain the heap size (which is smaller than the range of sorting) # put (diff, index) into heap # time complexity: O(2N*logN), for 2N elements, each operate heap insert O(logN), heappop O(logN) # space complexity: O(N) for heap, diff is used in heap def twoCitySchedCost(self, costs: List[List[int]]) -> int: N = len(costs)//2 hp = [] ans = 0 for i, c in enumerate(costs): cost_a, cost_b = c heapq.heappush(hp, cost_b-cost_a) ans += cost_a # assume everyone goes to city A if len(hp) > N: ans += heapq.heappop(hp) # popped is the best person to city B instead of A => switch to B by adding the diff return ans
[ "\"\"\"\n1029\n\"\"\"\nfrom typing import List\nimport heapq\nclass Solution: \n # clarification\n # any restrictions on time/space complexity? (e.g. timeout/memory...)\n # upper/lower bound of costs[i]?\n # length of costs?\n # is is possible to have multiple distributions that meets the same cost? (e.g. [[1,1],[2,2]] )\n \n # sort approach\n # need to sort costs with diff of (cost_a - cost_b)\n # assume everyone goes to city A, then pick n people to city B which can save most money\n # python has lambda syntax, (e.g. lambda x, y = x-y), using timsort (hybrid with insertion+mergesort)\n # time complexity: timsort avg case O(2Nlog2N), best case O(2N), worst case O(2Nlog2N)\n # space complexity: O(2N) for timsort with diff array (is hidden under sort lambda syntax)\n\n def twoCitySchedCost_sort(self, costs: List[List[int]]) -> int:\n costs.sort(key=lambda x: x[1]-x[0])\n N = len(costs)//2\n ans = 0\n for i in range(N):\n ans += costs[i][1]\n for j in range(N, 2*N):\n ans += costs[j][0]\n return ans\n\n # heap approach\n # pick while go through the array, meanwhile maintain the heap size (which is smaller than the range of sorting)\n # put (diff, index) into heap\n # time complexity: O(2N*logN), for 2N elements, each operate heap insert O(logN), heappop O(logN)\n # space complexity: O(N) for heap, diff is used in heap\n\n def twoCitySchedCost(self, costs: List[List[int]]) -> int: \n N = len(costs)//2\n hp = []\n ans = 0\n for i, c in enumerate(costs):\n cost_a, cost_b = c\n heapq.heappush(hp, cost_b-cost_a)\n ans += cost_a # assume everyone goes to city A\n if len(hp) > N:\n ans += heapq.heappop(hp) # popped is the best person to city B instead of A => switch to B by adding the diff\n return ans\n", "<docstring token>\nfrom typing import List\nimport heapq\n\n\nclass Solution:\n\n def twoCitySchedCost_sort(self, costs: List[List[int]]) ->int:\n costs.sort(key=lambda x: x[1] - x[0])\n N = len(costs) // 2\n ans = 0\n for i in range(N):\n ans += costs[i][1]\n for j in range(N, 2 * N):\n ans += costs[j][0]\n return ans\n\n def twoCitySchedCost(self, costs: List[List[int]]) ->int:\n N = len(costs) // 2\n hp = []\n ans = 0\n for i, c in enumerate(costs):\n cost_a, cost_b = c\n heapq.heappush(hp, cost_b - cost_a)\n ans += cost_a\n if len(hp) > N:\n ans += heapq.heappop(hp)\n return ans\n", "<docstring token>\n<import token>\n\n\nclass Solution:\n\n def twoCitySchedCost_sort(self, costs: List[List[int]]) ->int:\n costs.sort(key=lambda x: x[1] - x[0])\n N = len(costs) // 2\n ans = 0\n for i in range(N):\n ans += costs[i][1]\n for j in range(N, 2 * N):\n ans += costs[j][0]\n return ans\n\n def twoCitySchedCost(self, costs: List[List[int]]) ->int:\n N = len(costs) // 2\n hp = []\n ans = 0\n for i, c in enumerate(costs):\n cost_a, cost_b = c\n heapq.heappush(hp, cost_b - cost_a)\n ans += cost_a\n if len(hp) > N:\n ans += heapq.heappop(hp)\n return ans\n", "<docstring token>\n<import token>\n\n\nclass Solution:\n\n def twoCitySchedCost_sort(self, costs: List[List[int]]) ->int:\n costs.sort(key=lambda x: x[1] - x[0])\n N = len(costs) // 2\n ans = 0\n for i in range(N):\n ans += costs[i][1]\n for j in range(N, 2 * N):\n ans += costs[j][0]\n return ans\n <function token>\n", "<docstring token>\n<import token>\n\n\nclass Solution:\n <function token>\n <function token>\n", "<docstring token>\n<import token>\n<class token>\n" ]
false
98,649
8f9a3134a2ac3f75a06ea1e49891030783f49b27
import numpy as np import pandas as pd from sklearn.neighbors import KNeighborsClassifier from sklearn.datasets import load_boston from sklearn import preprocessing from sklearn.neighbors import KNeighborsRegressor from sklearn.model_selection import KFold import sklearn from sklearn.model_selection import cross_val_score print('The scikit-learn version is {}.'.format(sklearn.__version__)) boston = load_boston() print(boston.data) scaler = preprocessing.StandardScaler().fit(boston.data) X_train_transformed = scaler.transform(boston.data) y = boston.target print(X_train_transformed) p_list = np.linspace(1, 10, num=200 ) print(p_list) kf = KFold(shuffle=True,random_state=42,n_splits=5) means = [] for k in range(1, 201): p = p_list[k-1] kn = KNeighborsRegressor(n_neighbors=5,weights='distance',p=p,metric='minkowski') kn.fit(X_train_transformed, y) array = cross_val_score(estimator=kn, X=X_train_transformed, y=y, cv=kf, scoring='neg_mean_squared_error') m = array.mean() means.append(m) print (means) print(max(means)) print(np.argmax(means)) print(p_list[np.argmax(means)]) #kn = KNeighborsRegressor()
[ "import numpy as np\nimport pandas as pd\nfrom sklearn.neighbors import KNeighborsClassifier\nfrom sklearn.datasets import load_boston\nfrom sklearn import preprocessing\nfrom sklearn.neighbors import KNeighborsRegressor\nfrom sklearn.model_selection import KFold\nimport sklearn\nfrom sklearn.model_selection import cross_val_score\n\nprint('The scikit-learn version is {}.'.format(sklearn.__version__))\n\nboston = load_boston()\n\nprint(boston.data) \n\nscaler = preprocessing.StandardScaler().fit(boston.data)\n\nX_train_transformed = scaler.transform(boston.data)\ny = boston.target\nprint(X_train_transformed)\n\np_list = np.linspace(1, 10, num=200 )\n\nprint(p_list)\n\nkf = KFold(shuffle=True,random_state=42,n_splits=5)\nmeans = []\n\nfor k in range(1, 201):\n p = p_list[k-1]\n kn = KNeighborsRegressor(n_neighbors=5,weights='distance',p=p,metric='minkowski')\n kn.fit(X_train_transformed, y)\n array = cross_val_score(estimator=kn, X=X_train_transformed, y=y, cv=kf, scoring='neg_mean_squared_error')\n m = array.mean()\n means.append(m)\n\nprint (means)\n\nprint(max(means))\nprint(np.argmax(means))\nprint(p_list[np.argmax(means)])\n #kn = KNeighborsRegressor()", "import numpy as np\nimport pandas as pd\nfrom sklearn.neighbors import KNeighborsClassifier\nfrom sklearn.datasets import load_boston\nfrom sklearn import preprocessing\nfrom sklearn.neighbors import KNeighborsRegressor\nfrom sklearn.model_selection import KFold\nimport sklearn\nfrom sklearn.model_selection import cross_val_score\nprint('The scikit-learn version is {}.'.format(sklearn.__version__))\nboston = load_boston()\nprint(boston.data)\nscaler = preprocessing.StandardScaler().fit(boston.data)\nX_train_transformed = scaler.transform(boston.data)\ny = boston.target\nprint(X_train_transformed)\np_list = np.linspace(1, 10, num=200)\nprint(p_list)\nkf = KFold(shuffle=True, random_state=42, n_splits=5)\nmeans = []\nfor k in range(1, 201):\n p = p_list[k - 1]\n kn = KNeighborsRegressor(n_neighbors=5, weights='distance', p=p, metric\n ='minkowski')\n kn.fit(X_train_transformed, y)\n array = cross_val_score(estimator=kn, X=X_train_transformed, y=y, cv=kf,\n scoring='neg_mean_squared_error')\n m = array.mean()\n means.append(m)\nprint(means)\nprint(max(means))\nprint(np.argmax(means))\nprint(p_list[np.argmax(means)])\n", "<import token>\nprint('The scikit-learn version is {}.'.format(sklearn.__version__))\nboston = load_boston()\nprint(boston.data)\nscaler = preprocessing.StandardScaler().fit(boston.data)\nX_train_transformed = scaler.transform(boston.data)\ny = boston.target\nprint(X_train_transformed)\np_list = np.linspace(1, 10, num=200)\nprint(p_list)\nkf = KFold(shuffle=True, random_state=42, n_splits=5)\nmeans = []\nfor k in range(1, 201):\n p = p_list[k - 1]\n kn = KNeighborsRegressor(n_neighbors=5, weights='distance', p=p, metric\n ='minkowski')\n kn.fit(X_train_transformed, y)\n array = cross_val_score(estimator=kn, X=X_train_transformed, y=y, cv=kf,\n scoring='neg_mean_squared_error')\n m = array.mean()\n means.append(m)\nprint(means)\nprint(max(means))\nprint(np.argmax(means))\nprint(p_list[np.argmax(means)])\n", "<import token>\nprint('The scikit-learn version is {}.'.format(sklearn.__version__))\n<assignment token>\nprint(boston.data)\n<assignment token>\nprint(X_train_transformed)\n<assignment token>\nprint(p_list)\n<assignment token>\nfor k in range(1, 201):\n p = p_list[k - 1]\n kn = KNeighborsRegressor(n_neighbors=5, weights='distance', p=p, metric\n ='minkowski')\n kn.fit(X_train_transformed, y)\n array = cross_val_score(estimator=kn, X=X_train_transformed, y=y, cv=kf,\n scoring='neg_mean_squared_error')\n m = array.mean()\n means.append(m)\nprint(means)\nprint(max(means))\nprint(np.argmax(means))\nprint(p_list[np.argmax(means)])\n", "<import token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n" ]
false
98,650
5b92e7c943c3222d62f2303746e0597da163dc62
import csv from pathlib import Path from tqdm import tqdm class Submission: def __init__(self): self._data = [] def add_entry(self, test_id, bandwidth, max_user): entry = (test_id, round(bandwidth, 2), int(max_user)) self._data.append(entry) def write(self, directory='output', filename='submission.csv'): output_dir = Path(__name__).parent / directory output_dir.mkdir(parents=True, exist_ok=True) output_file = output_dir / filename with output_file.open('w', newline='') as csv_file: fieldnames = ['id', 'label'] writer = csv.DictWriter(csv_file, fieldnames=fieldnames) writer.writeheader() for entry in tqdm(self._data): writer.writerow({'id': entry[0], 'label': '{} {}'.format(entry[1], entry[2])})
[ "import csv\nfrom pathlib import Path\n\nfrom tqdm import tqdm\n\n\nclass Submission:\n\n def __init__(self):\n self._data = []\n\n def add_entry(self, test_id, bandwidth, max_user):\n entry = (test_id, round(bandwidth, 2), int(max_user))\n self._data.append(entry)\n\n def write(self, directory='output', filename='submission.csv'):\n output_dir = Path(__name__).parent / directory\n output_dir.mkdir(parents=True, exist_ok=True)\n output_file = output_dir / filename\n with output_file.open('w', newline='') as csv_file:\n fieldnames = ['id', 'label']\n writer = csv.DictWriter(csv_file, fieldnames=fieldnames)\n writer.writeheader()\n for entry in tqdm(self._data):\n writer.writerow({'id': entry[0], 'label': '{} {}'.format(entry[1], entry[2])})\n", "import csv\nfrom pathlib import Path\nfrom tqdm import tqdm\n\n\nclass Submission:\n\n def __init__(self):\n self._data = []\n\n def add_entry(self, test_id, bandwidth, max_user):\n entry = test_id, round(bandwidth, 2), int(max_user)\n self._data.append(entry)\n\n def write(self, directory='output', filename='submission.csv'):\n output_dir = Path(__name__).parent / directory\n output_dir.mkdir(parents=True, exist_ok=True)\n output_file = output_dir / filename\n with output_file.open('w', newline='') as csv_file:\n fieldnames = ['id', 'label']\n writer = csv.DictWriter(csv_file, fieldnames=fieldnames)\n writer.writeheader()\n for entry in tqdm(self._data):\n writer.writerow({'id': entry[0], 'label': '{} {}'.format(\n entry[1], entry[2])})\n", "<import token>\n\n\nclass Submission:\n\n def __init__(self):\n self._data = []\n\n def add_entry(self, test_id, bandwidth, max_user):\n entry = test_id, round(bandwidth, 2), int(max_user)\n self._data.append(entry)\n\n def write(self, directory='output', filename='submission.csv'):\n output_dir = Path(__name__).parent / directory\n output_dir.mkdir(parents=True, exist_ok=True)\n output_file = output_dir / filename\n with output_file.open('w', newline='') as csv_file:\n fieldnames = ['id', 'label']\n writer = csv.DictWriter(csv_file, fieldnames=fieldnames)\n writer.writeheader()\n for entry in tqdm(self._data):\n writer.writerow({'id': entry[0], 'label': '{} {}'.format(\n entry[1], entry[2])})\n", "<import token>\n\n\nclass Submission:\n <function token>\n\n def add_entry(self, test_id, bandwidth, max_user):\n entry = test_id, round(bandwidth, 2), int(max_user)\n self._data.append(entry)\n\n def write(self, directory='output', filename='submission.csv'):\n output_dir = Path(__name__).parent / directory\n output_dir.mkdir(parents=True, exist_ok=True)\n output_file = output_dir / filename\n with output_file.open('w', newline='') as csv_file:\n fieldnames = ['id', 'label']\n writer = csv.DictWriter(csv_file, fieldnames=fieldnames)\n writer.writeheader()\n for entry in tqdm(self._data):\n writer.writerow({'id': entry[0], 'label': '{} {}'.format(\n entry[1], entry[2])})\n", "<import token>\n\n\nclass Submission:\n <function token>\n <function token>\n\n def write(self, directory='output', filename='submission.csv'):\n output_dir = Path(__name__).parent / directory\n output_dir.mkdir(parents=True, exist_ok=True)\n output_file = output_dir / filename\n with output_file.open('w', newline='') as csv_file:\n fieldnames = ['id', 'label']\n writer = csv.DictWriter(csv_file, fieldnames=fieldnames)\n writer.writeheader()\n for entry in tqdm(self._data):\n writer.writerow({'id': entry[0], 'label': '{} {}'.format(\n entry[1], entry[2])})\n", "<import token>\n\n\nclass Submission:\n <function token>\n <function token>\n <function token>\n", "<import token>\n<class token>\n" ]
false
98,651
51975296b34f16a89dae7aa6be6c1dbfffdfa803
import math import timeout_decorator import jps import json from heapq import * def almostEqual(x,y): return abs(x-y) < 10**-4 class Vector(object): def __init__(self,x=0,y=0): self.x = x self.y = y def add(self,other): return Vector(self.x + other.x, self.y + other.y) def minus(self,other): return Vector(self.x - other.x, self.y - other.y) def magnitude(self): norm = math.sqrt(self.x ** 2 + self.y ** 2) return norm def normalize(self): if (self.isZero()): return Vector() norm = self.magnitude() normalizedX = self.x / norm normalizedY = self.y / norm return Vector(normalizedX, normalizedY) def multiply(self,factor): return Vector(self.x * factor, self.y * factor) def distanceSquared(self, other): return (self.x - other.x) **2 + (self.y - other.y)**2 def __repr__(self): return "%f,%f" % (self.x, self.y) def __eq__(self,other): return (isinstance(other,Vector) and self.x == other.x and self.y == other.y) def toTuple(self): return (self.x,self.y) def fromString(inputString): split = inputString.split(",") x = float(split[0]) y = float(split[1]) return Vector(x,y) def fromTuple(inputTuple): (x,y) = inputTuple return Vector(x,y) def roundToInteger(self): x = int(round(self.x)) y = int(round(self.y)) return Vector(x,y) def isZero(self): return almostEqual(self.x,0) and almostEqual(self.y,0) def toDict(self): rawDict = {} rawDict['x'] = self.x rawDict['y'] = self.y return rawDict def toJson(self): #6-7 hours on zooming, why return json.dumps(self.toDict()) def __hash__(self): return hash((self.x, self.y)) class AABB(object): def __init__(self,minV,maxV): self.minV = minV self.maxV = maxV def containsPoint(self,v): if v.x < self.minV.x or v.y < self.minV.y: return False if v.x > self.maxV.x or v.y > self.maxV.y: return False return True def collides(self, other): if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or self.minV.x > other.maxV.x or self.minV.y > other.maxV.y): return False return True def center(self): return self.minV.add(self.maxV).multiply(.5) #other is the thing u wanna stop colliding with def minTranslation(self, other): mt = Vector() left = other.minV.x - self.maxV.x right = other.maxV.x - self.minV.x top = other.minV.y - self.maxV.y bottom = other.maxV.y - self.minV.y if (left > 0 or right < 0): return mt if (top > 0 or bottom < 0): return mt if abs(left) < right: mt.x = left else: mt.x = right if abs(top) < bottom: mt.y = top else: mt.y = bottom if abs(mt.x) < abs(mt.y): mt.y = 0 else: mt.x = 0 return mt def __repr__(self): return str((self.minV,self.maxV)) def heuristic(p1, p2): return abs(p2[0]-p1[0]) + abs(p2[1]-p1[1]) dirs = [(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1),(-1,0),(-1,1)] #handle trying to diagnal when 2 in way specialCheck = {(1,1):[(0,1),(1,0)],(-1,1):[(-1,0),(1,0)], (-1,-1):[(-1,0),(0,-1)], (1,-1):[(1,0),(0,-1)]} def isValid(array,locTuple): x,y = locTuple if x < 0 or x >= len(array): return False if y < 0 or y >= len(array[0]): return False if array[x][y] == True: return False return True #def findPath(mapdata,startVector,goalVector): # naivePath = findNaivePath(mapdata,startVector,goalVector) # if (naivePath != -1): # return naivePath # jpsPath = performJps(mapdata,startVector,goalVector) # return jpsPath def findPathAndSet(goal,currentLocation): mapdata = goal.game.map startVector = currentLocation goalVector = goal.goalLocation naivePath = findNaivePath(mapdata,startVector,goalVector) if (naivePath != -1 and naivePath != None): goal.path = naivePath goal.pathI = 1 return doJPSAsync(goal,mapdata,startVector,goalVector) #http://code.activestate.com/recipes/576684-simple-threading-decorator/ def run_async(func): from threading import Thread from functools import wraps @wraps(func) def async_func(*args, **kwargs): func_hl = Thread(target = func, args = args, kwargs = kwargs) func_hl.start() return func_hl return async_func @run_async def doJPSAsync(goal,mapdata,startVector,goalVector): jpsPath = performJps(mapdata,startVector,goalVector) goal.path = jpsPath if goal.path == -1: goal.valid = False elif goal.path != None: goal.pathI = 1 else: del goal.path def findNaivePath(mapdata,startVector,goalVector): collision = mapdata.collision.array start = startVector.multiply(1/mapdata.collisionFactor).roundToInteger() goal = goalVector.multiply(1/mapdata.collisionFactor).roundToInteger() if (start == goal): return -1 if (not isValid(collision,start.toTuple()) or not isValid(collision,goal.toTuple())): return -1 directionVector = goal.minus(start).normalize() current = start while (current.distanceSquared(goal) > 1.2): current = current.add(directionVector) if (not isValid(collision,current.roundToInteger().toTuple())): return -1 return [startVector,goalVector] def performJps(mapdata,startVector, goalVector): collision = mapdata.collision.array jps.pad_field(collision) start = startVector.multiply(1/mapdata.collisionFactor).roundToInteger().toTuple() goal = goalVector.multiply(1/mapdata.collisionFactor).roundToInteger().toTuple() (startX, startY) = start (endX, endY) = goal try: rawPath = jps.jps(collision,startX,startY,endX,endY) except: return -1 path = [] for coord in rawPath: path.append(Vector.fromTuple(coord).multiply(mapdata.collisionFactor)) return path #Returns path of vectors, none if no path #path finding based currently on pseudocode availiable on wikipedia #In the future I want to implement another search that will solve the #timeout issues #More than 150ms is trouble @timeout_decorator.timeout(.15, use_signals=False) def aStarPath(mapdata, startVector, goalVector): collision = mapdata.collision.array start = startVector.multiply(1/mapdata.collisionFactor).roundToInteger().toTuple() goal = goalVector.multiply(1/mapdata.collisionFactor).roundToInteger().toTuple() if not isValid(collision,goal): return None closeSet = set() prev = {} g = {start:0} f = {start:heuristic(start,goal)} openHeap = [] #This is just the python version of a priority queue heappush(openHeap,(f[start],start)) while openHeap: cur = heappop(openHeap)[1] if (cur == goal): path = [] while cur in prev: path.append(Vector.fromTuple(cur).multiply(mapdata.collisionFactor)) cur = prev[cur] path = list(reversed(path)) return path closeSet.add(cur) for oX,oY in dirs: neighbor = cur[0] + oX, cur[1] + oY tentGscore = g[cur] + heuristic(cur,neighbor) if (neighbor[0] < 0 or neighbor[0] >= len(collision) or neighbor[1] < 0 or neighbor[1] >= len(collision[0]) or not isValidMove(collision,cur,neighbor,(oX,oY))): continue if neighbor in closeSet and tentGscore > g.get(neighbor,0): continue if tentGscore < g.get(neighbor,0) or neighbor not in [i[1] for i in openHeap]: prev[neighbor] = cur g[neighbor] = tentGscore f[neighbor] = tentGscore + heuristic(neighbor,goal) heappush(openHeap,(f[neighbor],neighbor)) return None #http://stackoverflow.com/questions/12435211/python-threading-timer-repeat-function-every-n-seconds import threading def setInterval(interval): def decorator(function): def wrapper(*args, **kwargs): stopped = threading.Event() def loop(): # executed in another thread while not stopped.wait(interval): # until stopped function(*args, **kwargs) t = threading.Thread(target=loop) t.daemon = True # stop if the program exits t.start() return stopped return wrapper return decorator
[ "import math\nimport timeout_decorator\nimport jps\nimport json\nfrom heapq import *\ndef almostEqual(x,y):\n return abs(x-y) < 10**-4\n\nclass Vector(object):\n def __init__(self,x=0,y=0):\n self.x = x \n self.y = y\n def add(self,other):\n return Vector(self.x + other.x, self.y + other.y)\n def minus(self,other):\n return Vector(self.x - other.x, self.y - other.y)\n def magnitude(self):\n norm = math.sqrt(self.x ** 2 + self.y ** 2)\n return norm\n def normalize(self):\n if (self.isZero()):\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm \n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n def multiply(self,factor):\n return Vector(self.x * factor, self.y * factor)\n def distanceSquared(self, other):\n return (self.x - other.x) **2 + (self.y - other.y)**2\n def __repr__(self):\n return \"%f,%f\" % (self.x, self.y)\n def __eq__(self,other):\n return (isinstance(other,Vector) and \n self.x == other.x and self.y == other.y)\n def toTuple(self):\n return (self.x,self.y)\n def fromString(inputString):\n split = inputString.split(\",\")\n x = float(split[0])\n y = float(split[1])\n return Vector(x,y)\n def fromTuple(inputTuple):\n (x,y) = inputTuple\n return Vector(x,y)\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x,y)\n def isZero(self):\n return almostEqual(self.x,0) and almostEqual(self.y,0)\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n def toJson(self):\n #6-7 hours on zooming, why\n return json.dumps(self.toDict())\n def __hash__(self):\n return hash((self.x, self.y))\nclass AABB(object):\n def __init__(self,minV,maxV):\n self.minV = minV\n self.maxV = maxV\n def containsPoint(self,v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n def collides(self, other):\n if (self.maxV.x < other.minV.x\n or self.maxV.y < other.minV.y\n or self.minV.x > other.maxV.x\n or self.minV.y > other.maxV.y):\n return False\n return True\n def center(self):\n return self.minV.add(self.maxV).multiply(.5)\n #other is the thing u wanna stop colliding with\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if (left > 0 or right < 0):\n return mt\n if (top > 0 or bottom < 0):\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n def __repr__(self):\n return str((self.minV,self.maxV))\n\ndef heuristic(p1, p2):\n return abs(p2[0]-p1[0]) + abs(p2[1]-p1[1])\ndirs = [(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1),(-1,0),(-1,1)]\n#handle trying to diagnal when 2 in way\nspecialCheck = {(1,1):[(0,1),(1,0)],(-1,1):[(-1,0),(1,0)],\n(-1,-1):[(-1,0),(0,-1)],\n(1,-1):[(1,0),(0,-1)]}\ndef isValid(array,locTuple):\n x,y = locTuple\n if x < 0 or x >= len(array):\n return False\n if y < 0 or y >= len(array[0]):\n return False\n if array[x][y] == True:\n return False\n return True\n#def findPath(mapdata,startVector,goalVector):\n# naivePath = findNaivePath(mapdata,startVector,goalVector)\n# if (naivePath != -1):\n# return naivePath\n# jpsPath = performJps(mapdata,startVector,goalVector)\n# return jpsPath\ndef findPathAndSet(goal,currentLocation):\n mapdata = goal.game.map\n startVector = currentLocation\n goalVector = goal.goalLocation\n naivePath = findNaivePath(mapdata,startVector,goalVector)\n if (naivePath != -1 and naivePath != None):\n goal.path = naivePath\n goal.pathI = 1\n return\n doJPSAsync(goal,mapdata,startVector,goalVector)\n#http://code.activestate.com/recipes/576684-simple-threading-decorator/\ndef run_async(func):\n from threading import Thread\n from functools import wraps\n\n @wraps(func)\n def async_func(*args, **kwargs):\n func_hl = Thread(target = func, args = args, kwargs = kwargs)\n func_hl.start()\n return func_hl\n return async_func\n@run_async\ndef doJPSAsync(goal,mapdata,startVector,goalVector):\n jpsPath = performJps(mapdata,startVector,goalVector)\n goal.path = jpsPath\n if goal.path == -1:\n goal.valid = False\n elif goal.path != None:\n goal.pathI = 1\n else:\n del goal.path\ndef findNaivePath(mapdata,startVector,goalVector):\n collision = mapdata.collision.array\n start = startVector.multiply(1/mapdata.collisionFactor).roundToInteger()\n goal = goalVector.multiply(1/mapdata.collisionFactor).roundToInteger()\n if (start == goal):\n return -1\n if (not isValid(collision,start.toTuple()) or not isValid(collision,goal.toTuple())):\n return -1\n directionVector = goal.minus(start).normalize()\n current = start\n while (current.distanceSquared(goal) > 1.2):\n current = current.add(directionVector)\n if (not isValid(collision,current.roundToInteger().toTuple())):\n return -1\n return [startVector,goalVector]\ndef performJps(mapdata,startVector, goalVector):\n collision = mapdata.collision.array\n jps.pad_field(collision)\n start = startVector.multiply(1/mapdata.collisionFactor).roundToInteger().toTuple()\n goal = goalVector.multiply(1/mapdata.collisionFactor).roundToInteger().toTuple()\n\n (startX, startY) = start\n (endX, endY) = goal\n try:\n rawPath = jps.jps(collision,startX,startY,endX,endY)\n except:\n return -1\n path = []\n for coord in rawPath:\n path.append(Vector.fromTuple(coord).multiply(mapdata.collisionFactor))\n return path\n\n#Returns path of vectors, none if no path\n#path finding based currently on pseudocode availiable on wikipedia\n#In the future I want to implement another search that will solve the \n#timeout issues\n#More than 150ms is trouble\n@timeout_decorator.timeout(.15, use_signals=False)\ndef aStarPath(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n start = startVector.multiply(1/mapdata.collisionFactor).roundToInteger().toTuple()\n goal = goalVector.multiply(1/mapdata.collisionFactor).roundToInteger().toTuple()\n if not isValid(collision,goal):\n return None\n closeSet = set()\n prev = {}\n g = {start:0}\n f = {start:heuristic(start,goal)}\n openHeap = []\n #This is just the python version of a priority queue\n heappush(openHeap,(f[start],start))\n while openHeap:\n cur = heappop(openHeap)[1]\n if (cur == goal):\n path = []\n while cur in prev:\n path.append(Vector.fromTuple(cur).multiply(mapdata.collisionFactor))\n cur = prev[cur]\n path = list(reversed(path))\n return path\n closeSet.add(cur)\n for oX,oY in dirs:\n neighbor = cur[0] + oX, cur[1] + oY\n tentGscore = g[cur] + heuristic(cur,neighbor)\n if (neighbor[0] < 0 or neighbor[0] >= len(collision) or \n neighbor[1] < 0 or neighbor[1] >= len(collision[0])\n or not isValidMove(collision,cur,neighbor,(oX,oY))):\n continue\n if neighbor in closeSet and tentGscore > g.get(neighbor,0):\n continue\n if tentGscore < g.get(neighbor,0) or neighbor not in [i[1] for i in openHeap]:\n prev[neighbor] = cur\n g[neighbor] = tentGscore\n f[neighbor] = tentGscore + heuristic(neighbor,goal)\n heappush(openHeap,(f[neighbor],neighbor))\n return None\n#http://stackoverflow.com/questions/12435211/python-threading-timer-repeat-function-every-n-seconds\nimport threading\n\ndef setInterval(interval):\n def decorator(function):\n def wrapper(*args, **kwargs):\n stopped = threading.Event()\n\n def loop(): # executed in another thread\n while not stopped.wait(interval): # until stopped\n function(*args, **kwargs)\n\n t = threading.Thread(target=loop)\n t.daemon = True # stop if the program exits\n t.start()\n return stopped\n return wrapper\n return decorator", "import math\nimport timeout_decorator\nimport jps\nimport json\nfrom heapq import *\n\n\ndef almostEqual(x, y):\n return abs(x - y) < 10 ** -4\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n\n def add(self, other):\n return Vector(self.x + other.x, self.y + other.y)\n\n def minus(self, other):\n return Vector(self.x - other.x, self.y - other.y)\n\n def magnitude(self):\n norm = math.sqrt(self.x ** 2 + self.y ** 2)\n return norm\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n\n def multiply(self, factor):\n return Vector(self.x * factor, self.y * factor)\n\n def distanceSquared(self, other):\n return (self.x - other.x) ** 2 + (self.y - other.y) ** 2\n\n def __repr__(self):\n return '%f,%f' % (self.x, self.y)\n\n def __eq__(self, other):\n return isinstance(other, Vector\n ) and self.x == other.x and self.y == other.y\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n\n def fromTuple(inputTuple):\n x, y = inputTuple\n return Vector(x, y)\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n\n def isZero(self):\n return almostEqual(self.x, 0) and almostEqual(self.y, 0)\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n\n def toJson(self):\n return json.dumps(self.toDict())\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\ndef heuristic(p1, p2):\n return abs(p2[0] - p1[0]) + abs(p2[1] - p1[1])\n\n\ndirs = [(0, 1), (1, 1), (1, 0), (1, -1), (0, -1), (-1, -1), (-1, 0), (-1, 1)]\nspecialCheck = {(1, 1): [(0, 1), (1, 0)], (-1, 1): [(-1, 0), (1, 0)], (-1, \n -1): [(-1, 0), (0, -1)], (1, -1): [(1, 0), (0, -1)]}\n\n\ndef isValid(array, locTuple):\n x, y = locTuple\n if x < 0 or x >= len(array):\n return False\n if y < 0 or y >= len(array[0]):\n return False\n if array[x][y] == True:\n return False\n return True\n\n\ndef findPathAndSet(goal, currentLocation):\n mapdata = goal.game.map\n startVector = currentLocation\n goalVector = goal.goalLocation\n naivePath = findNaivePath(mapdata, startVector, goalVector)\n if naivePath != -1 and naivePath != None:\n goal.path = naivePath\n goal.pathI = 1\n return\n doJPSAsync(goal, mapdata, startVector, goalVector)\n\n\ndef run_async(func):\n from threading import Thread\n from functools import wraps\n\n @wraps(func)\n def async_func(*args, **kwargs):\n func_hl = Thread(target=func, args=args, kwargs=kwargs)\n func_hl.start()\n return func_hl\n return async_func\n\n\n@run_async\ndef doJPSAsync(goal, mapdata, startVector, goalVector):\n jpsPath = performJps(mapdata, startVector, goalVector)\n goal.path = jpsPath\n if goal.path == -1:\n goal.valid = False\n elif goal.path != None:\n goal.pathI = 1\n else:\n del goal.path\n\n\ndef findNaivePath(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger()\n if start == goal:\n return -1\n if not isValid(collision, start.toTuple()) or not isValid(collision,\n goal.toTuple()):\n return -1\n directionVector = goal.minus(start).normalize()\n current = start\n while current.distanceSquared(goal) > 1.2:\n current = current.add(directionVector)\n if not isValid(collision, current.roundToInteger().toTuple()):\n return -1\n return [startVector, goalVector]\n\n\ndef performJps(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n jps.pad_field(collision)\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n startX, startY = start\n endX, endY = goal\n try:\n rawPath = jps.jps(collision, startX, startY, endX, endY)\n except:\n return -1\n path = []\n for coord in rawPath:\n path.append(Vector.fromTuple(coord).multiply(mapdata.collisionFactor))\n return path\n\n\n@timeout_decorator.timeout(0.15, use_signals=False)\ndef aStarPath(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n if not isValid(collision, goal):\n return None\n closeSet = set()\n prev = {}\n g = {start: 0}\n f = {start: heuristic(start, goal)}\n openHeap = []\n heappush(openHeap, (f[start], start))\n while openHeap:\n cur = heappop(openHeap)[1]\n if cur == goal:\n path = []\n while cur in prev:\n path.append(Vector.fromTuple(cur).multiply(mapdata.\n collisionFactor))\n cur = prev[cur]\n path = list(reversed(path))\n return path\n closeSet.add(cur)\n for oX, oY in dirs:\n neighbor = cur[0] + oX, cur[1] + oY\n tentGscore = g[cur] + heuristic(cur, neighbor)\n if neighbor[0] < 0 or neighbor[0] >= len(collision) or neighbor[1\n ] < 0 or neighbor[1] >= len(collision[0]) or not isValidMove(\n collision, cur, neighbor, (oX, oY)):\n continue\n if neighbor in closeSet and tentGscore > g.get(neighbor, 0):\n continue\n if tentGscore < g.get(neighbor, 0) or neighbor not in [i[1] for\n i in openHeap]:\n prev[neighbor] = cur\n g[neighbor] = tentGscore\n f[neighbor] = tentGscore + heuristic(neighbor, goal)\n heappush(openHeap, (f[neighbor], neighbor))\n return None\n\n\nimport threading\n\n\ndef setInterval(interval):\n\n def decorator(function):\n\n def wrapper(*args, **kwargs):\n stopped = threading.Event()\n\n def loop():\n while not stopped.wait(interval):\n function(*args, **kwargs)\n t = threading.Thread(target=loop)\n t.daemon = True\n t.start()\n return stopped\n return wrapper\n return decorator\n", "<import token>\n\n\ndef almostEqual(x, y):\n return abs(x - y) < 10 ** -4\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n\n def add(self, other):\n return Vector(self.x + other.x, self.y + other.y)\n\n def minus(self, other):\n return Vector(self.x - other.x, self.y - other.y)\n\n def magnitude(self):\n norm = math.sqrt(self.x ** 2 + self.y ** 2)\n return norm\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n\n def multiply(self, factor):\n return Vector(self.x * factor, self.y * factor)\n\n def distanceSquared(self, other):\n return (self.x - other.x) ** 2 + (self.y - other.y) ** 2\n\n def __repr__(self):\n return '%f,%f' % (self.x, self.y)\n\n def __eq__(self, other):\n return isinstance(other, Vector\n ) and self.x == other.x and self.y == other.y\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n\n def fromTuple(inputTuple):\n x, y = inputTuple\n return Vector(x, y)\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n\n def isZero(self):\n return almostEqual(self.x, 0) and almostEqual(self.y, 0)\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n\n def toJson(self):\n return json.dumps(self.toDict())\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\ndef heuristic(p1, p2):\n return abs(p2[0] - p1[0]) + abs(p2[1] - p1[1])\n\n\ndirs = [(0, 1), (1, 1), (1, 0), (1, -1), (0, -1), (-1, -1), (-1, 0), (-1, 1)]\nspecialCheck = {(1, 1): [(0, 1), (1, 0)], (-1, 1): [(-1, 0), (1, 0)], (-1, \n -1): [(-1, 0), (0, -1)], (1, -1): [(1, 0), (0, -1)]}\n\n\ndef isValid(array, locTuple):\n x, y = locTuple\n if x < 0 or x >= len(array):\n return False\n if y < 0 or y >= len(array[0]):\n return False\n if array[x][y] == True:\n return False\n return True\n\n\ndef findPathAndSet(goal, currentLocation):\n mapdata = goal.game.map\n startVector = currentLocation\n goalVector = goal.goalLocation\n naivePath = findNaivePath(mapdata, startVector, goalVector)\n if naivePath != -1 and naivePath != None:\n goal.path = naivePath\n goal.pathI = 1\n return\n doJPSAsync(goal, mapdata, startVector, goalVector)\n\n\ndef run_async(func):\n from threading import Thread\n from functools import wraps\n\n @wraps(func)\n def async_func(*args, **kwargs):\n func_hl = Thread(target=func, args=args, kwargs=kwargs)\n func_hl.start()\n return func_hl\n return async_func\n\n\n@run_async\ndef doJPSAsync(goal, mapdata, startVector, goalVector):\n jpsPath = performJps(mapdata, startVector, goalVector)\n goal.path = jpsPath\n if goal.path == -1:\n goal.valid = False\n elif goal.path != None:\n goal.pathI = 1\n else:\n del goal.path\n\n\ndef findNaivePath(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger()\n if start == goal:\n return -1\n if not isValid(collision, start.toTuple()) or not isValid(collision,\n goal.toTuple()):\n return -1\n directionVector = goal.minus(start).normalize()\n current = start\n while current.distanceSquared(goal) > 1.2:\n current = current.add(directionVector)\n if not isValid(collision, current.roundToInteger().toTuple()):\n return -1\n return [startVector, goalVector]\n\n\ndef performJps(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n jps.pad_field(collision)\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n startX, startY = start\n endX, endY = goal\n try:\n rawPath = jps.jps(collision, startX, startY, endX, endY)\n except:\n return -1\n path = []\n for coord in rawPath:\n path.append(Vector.fromTuple(coord).multiply(mapdata.collisionFactor))\n return path\n\n\n@timeout_decorator.timeout(0.15, use_signals=False)\ndef aStarPath(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n if not isValid(collision, goal):\n return None\n closeSet = set()\n prev = {}\n g = {start: 0}\n f = {start: heuristic(start, goal)}\n openHeap = []\n heappush(openHeap, (f[start], start))\n while openHeap:\n cur = heappop(openHeap)[1]\n if cur == goal:\n path = []\n while cur in prev:\n path.append(Vector.fromTuple(cur).multiply(mapdata.\n collisionFactor))\n cur = prev[cur]\n path = list(reversed(path))\n return path\n closeSet.add(cur)\n for oX, oY in dirs:\n neighbor = cur[0] + oX, cur[1] + oY\n tentGscore = g[cur] + heuristic(cur, neighbor)\n if neighbor[0] < 0 or neighbor[0] >= len(collision) or neighbor[1\n ] < 0 or neighbor[1] >= len(collision[0]) or not isValidMove(\n collision, cur, neighbor, (oX, oY)):\n continue\n if neighbor in closeSet and tentGscore > g.get(neighbor, 0):\n continue\n if tentGscore < g.get(neighbor, 0) or neighbor not in [i[1] for\n i in openHeap]:\n prev[neighbor] = cur\n g[neighbor] = tentGscore\n f[neighbor] = tentGscore + heuristic(neighbor, goal)\n heappush(openHeap, (f[neighbor], neighbor))\n return None\n\n\n<import token>\n\n\ndef setInterval(interval):\n\n def decorator(function):\n\n def wrapper(*args, **kwargs):\n stopped = threading.Event()\n\n def loop():\n while not stopped.wait(interval):\n function(*args, **kwargs)\n t = threading.Thread(target=loop)\n t.daemon = True\n t.start()\n return stopped\n return wrapper\n return decorator\n", "<import token>\n\n\ndef almostEqual(x, y):\n return abs(x - y) < 10 ** -4\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n\n def add(self, other):\n return Vector(self.x + other.x, self.y + other.y)\n\n def minus(self, other):\n return Vector(self.x - other.x, self.y - other.y)\n\n def magnitude(self):\n norm = math.sqrt(self.x ** 2 + self.y ** 2)\n return norm\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n\n def multiply(self, factor):\n return Vector(self.x * factor, self.y * factor)\n\n def distanceSquared(self, other):\n return (self.x - other.x) ** 2 + (self.y - other.y) ** 2\n\n def __repr__(self):\n return '%f,%f' % (self.x, self.y)\n\n def __eq__(self, other):\n return isinstance(other, Vector\n ) and self.x == other.x and self.y == other.y\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n\n def fromTuple(inputTuple):\n x, y = inputTuple\n return Vector(x, y)\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n\n def isZero(self):\n return almostEqual(self.x, 0) and almostEqual(self.y, 0)\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n\n def toJson(self):\n return json.dumps(self.toDict())\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\ndef heuristic(p1, p2):\n return abs(p2[0] - p1[0]) + abs(p2[1] - p1[1])\n\n\n<assignment token>\n\n\ndef isValid(array, locTuple):\n x, y = locTuple\n if x < 0 or x >= len(array):\n return False\n if y < 0 or y >= len(array[0]):\n return False\n if array[x][y] == True:\n return False\n return True\n\n\ndef findPathAndSet(goal, currentLocation):\n mapdata = goal.game.map\n startVector = currentLocation\n goalVector = goal.goalLocation\n naivePath = findNaivePath(mapdata, startVector, goalVector)\n if naivePath != -1 and naivePath != None:\n goal.path = naivePath\n goal.pathI = 1\n return\n doJPSAsync(goal, mapdata, startVector, goalVector)\n\n\ndef run_async(func):\n from threading import Thread\n from functools import wraps\n\n @wraps(func)\n def async_func(*args, **kwargs):\n func_hl = Thread(target=func, args=args, kwargs=kwargs)\n func_hl.start()\n return func_hl\n return async_func\n\n\n@run_async\ndef doJPSAsync(goal, mapdata, startVector, goalVector):\n jpsPath = performJps(mapdata, startVector, goalVector)\n goal.path = jpsPath\n if goal.path == -1:\n goal.valid = False\n elif goal.path != None:\n goal.pathI = 1\n else:\n del goal.path\n\n\ndef findNaivePath(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger()\n if start == goal:\n return -1\n if not isValid(collision, start.toTuple()) or not isValid(collision,\n goal.toTuple()):\n return -1\n directionVector = goal.minus(start).normalize()\n current = start\n while current.distanceSquared(goal) > 1.2:\n current = current.add(directionVector)\n if not isValid(collision, current.roundToInteger().toTuple()):\n return -1\n return [startVector, goalVector]\n\n\ndef performJps(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n jps.pad_field(collision)\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n startX, startY = start\n endX, endY = goal\n try:\n rawPath = jps.jps(collision, startX, startY, endX, endY)\n except:\n return -1\n path = []\n for coord in rawPath:\n path.append(Vector.fromTuple(coord).multiply(mapdata.collisionFactor))\n return path\n\n\n@timeout_decorator.timeout(0.15, use_signals=False)\ndef aStarPath(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n if not isValid(collision, goal):\n return None\n closeSet = set()\n prev = {}\n g = {start: 0}\n f = {start: heuristic(start, goal)}\n openHeap = []\n heappush(openHeap, (f[start], start))\n while openHeap:\n cur = heappop(openHeap)[1]\n if cur == goal:\n path = []\n while cur in prev:\n path.append(Vector.fromTuple(cur).multiply(mapdata.\n collisionFactor))\n cur = prev[cur]\n path = list(reversed(path))\n return path\n closeSet.add(cur)\n for oX, oY in dirs:\n neighbor = cur[0] + oX, cur[1] + oY\n tentGscore = g[cur] + heuristic(cur, neighbor)\n if neighbor[0] < 0 or neighbor[0] >= len(collision) or neighbor[1\n ] < 0 or neighbor[1] >= len(collision[0]) or not isValidMove(\n collision, cur, neighbor, (oX, oY)):\n continue\n if neighbor in closeSet and tentGscore > g.get(neighbor, 0):\n continue\n if tentGscore < g.get(neighbor, 0) or neighbor not in [i[1] for\n i in openHeap]:\n prev[neighbor] = cur\n g[neighbor] = tentGscore\n f[neighbor] = tentGscore + heuristic(neighbor, goal)\n heappush(openHeap, (f[neighbor], neighbor))\n return None\n\n\n<import token>\n\n\ndef setInterval(interval):\n\n def decorator(function):\n\n def wrapper(*args, **kwargs):\n stopped = threading.Event()\n\n def loop():\n while not stopped.wait(interval):\n function(*args, **kwargs)\n t = threading.Thread(target=loop)\n t.daemon = True\n t.start()\n return stopped\n return wrapper\n return decorator\n", "<import token>\n\n\ndef almostEqual(x, y):\n return abs(x - y) < 10 ** -4\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n\n def add(self, other):\n return Vector(self.x + other.x, self.y + other.y)\n\n def minus(self, other):\n return Vector(self.x - other.x, self.y - other.y)\n\n def magnitude(self):\n norm = math.sqrt(self.x ** 2 + self.y ** 2)\n return norm\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n\n def multiply(self, factor):\n return Vector(self.x * factor, self.y * factor)\n\n def distanceSquared(self, other):\n return (self.x - other.x) ** 2 + (self.y - other.y) ** 2\n\n def __repr__(self):\n return '%f,%f' % (self.x, self.y)\n\n def __eq__(self, other):\n return isinstance(other, Vector\n ) and self.x == other.x and self.y == other.y\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n\n def fromTuple(inputTuple):\n x, y = inputTuple\n return Vector(x, y)\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n\n def isZero(self):\n return almostEqual(self.x, 0) and almostEqual(self.y, 0)\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n\n def toJson(self):\n return json.dumps(self.toDict())\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\ndef heuristic(p1, p2):\n return abs(p2[0] - p1[0]) + abs(p2[1] - p1[1])\n\n\n<assignment token>\n\n\ndef isValid(array, locTuple):\n x, y = locTuple\n if x < 0 or x >= len(array):\n return False\n if y < 0 or y >= len(array[0]):\n return False\n if array[x][y] == True:\n return False\n return True\n\n\ndef findPathAndSet(goal, currentLocation):\n mapdata = goal.game.map\n startVector = currentLocation\n goalVector = goal.goalLocation\n naivePath = findNaivePath(mapdata, startVector, goalVector)\n if naivePath != -1 and naivePath != None:\n goal.path = naivePath\n goal.pathI = 1\n return\n doJPSAsync(goal, mapdata, startVector, goalVector)\n\n\ndef run_async(func):\n from threading import Thread\n from functools import wraps\n\n @wraps(func)\n def async_func(*args, **kwargs):\n func_hl = Thread(target=func, args=args, kwargs=kwargs)\n func_hl.start()\n return func_hl\n return async_func\n\n\n<function token>\n\n\ndef findNaivePath(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger()\n if start == goal:\n return -1\n if not isValid(collision, start.toTuple()) or not isValid(collision,\n goal.toTuple()):\n return -1\n directionVector = goal.minus(start).normalize()\n current = start\n while current.distanceSquared(goal) > 1.2:\n current = current.add(directionVector)\n if not isValid(collision, current.roundToInteger().toTuple()):\n return -1\n return [startVector, goalVector]\n\n\ndef performJps(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n jps.pad_field(collision)\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n startX, startY = start\n endX, endY = goal\n try:\n rawPath = jps.jps(collision, startX, startY, endX, endY)\n except:\n return -1\n path = []\n for coord in rawPath:\n path.append(Vector.fromTuple(coord).multiply(mapdata.collisionFactor))\n return path\n\n\n@timeout_decorator.timeout(0.15, use_signals=False)\ndef aStarPath(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n if not isValid(collision, goal):\n return None\n closeSet = set()\n prev = {}\n g = {start: 0}\n f = {start: heuristic(start, goal)}\n openHeap = []\n heappush(openHeap, (f[start], start))\n while openHeap:\n cur = heappop(openHeap)[1]\n if cur == goal:\n path = []\n while cur in prev:\n path.append(Vector.fromTuple(cur).multiply(mapdata.\n collisionFactor))\n cur = prev[cur]\n path = list(reversed(path))\n return path\n closeSet.add(cur)\n for oX, oY in dirs:\n neighbor = cur[0] + oX, cur[1] + oY\n tentGscore = g[cur] + heuristic(cur, neighbor)\n if neighbor[0] < 0 or neighbor[0] >= len(collision) or neighbor[1\n ] < 0 or neighbor[1] >= len(collision[0]) or not isValidMove(\n collision, cur, neighbor, (oX, oY)):\n continue\n if neighbor in closeSet and tentGscore > g.get(neighbor, 0):\n continue\n if tentGscore < g.get(neighbor, 0) or neighbor not in [i[1] for\n i in openHeap]:\n prev[neighbor] = cur\n g[neighbor] = tentGscore\n f[neighbor] = tentGscore + heuristic(neighbor, goal)\n heappush(openHeap, (f[neighbor], neighbor))\n return None\n\n\n<import token>\n\n\ndef setInterval(interval):\n\n def decorator(function):\n\n def wrapper(*args, **kwargs):\n stopped = threading.Event()\n\n def loop():\n while not stopped.wait(interval):\n function(*args, **kwargs)\n t = threading.Thread(target=loop)\n t.daemon = True\n t.start()\n return stopped\n return wrapper\n return decorator\n", "<import token>\n\n\ndef almostEqual(x, y):\n return abs(x - y) < 10 ** -4\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n\n def add(self, other):\n return Vector(self.x + other.x, self.y + other.y)\n\n def minus(self, other):\n return Vector(self.x - other.x, self.y - other.y)\n\n def magnitude(self):\n norm = math.sqrt(self.x ** 2 + self.y ** 2)\n return norm\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n\n def multiply(self, factor):\n return Vector(self.x * factor, self.y * factor)\n\n def distanceSquared(self, other):\n return (self.x - other.x) ** 2 + (self.y - other.y) ** 2\n\n def __repr__(self):\n return '%f,%f' % (self.x, self.y)\n\n def __eq__(self, other):\n return isinstance(other, Vector\n ) and self.x == other.x and self.y == other.y\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n\n def fromTuple(inputTuple):\n x, y = inputTuple\n return Vector(x, y)\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n\n def isZero(self):\n return almostEqual(self.x, 0) and almostEqual(self.y, 0)\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n\n def toJson(self):\n return json.dumps(self.toDict())\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n\n\ndef isValid(array, locTuple):\n x, y = locTuple\n if x < 0 or x >= len(array):\n return False\n if y < 0 or y >= len(array[0]):\n return False\n if array[x][y] == True:\n return False\n return True\n\n\ndef findPathAndSet(goal, currentLocation):\n mapdata = goal.game.map\n startVector = currentLocation\n goalVector = goal.goalLocation\n naivePath = findNaivePath(mapdata, startVector, goalVector)\n if naivePath != -1 and naivePath != None:\n goal.path = naivePath\n goal.pathI = 1\n return\n doJPSAsync(goal, mapdata, startVector, goalVector)\n\n\ndef run_async(func):\n from threading import Thread\n from functools import wraps\n\n @wraps(func)\n def async_func(*args, **kwargs):\n func_hl = Thread(target=func, args=args, kwargs=kwargs)\n func_hl.start()\n return func_hl\n return async_func\n\n\n<function token>\n\n\ndef findNaivePath(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger()\n if start == goal:\n return -1\n if not isValid(collision, start.toTuple()) or not isValid(collision,\n goal.toTuple()):\n return -1\n directionVector = goal.minus(start).normalize()\n current = start\n while current.distanceSquared(goal) > 1.2:\n current = current.add(directionVector)\n if not isValid(collision, current.roundToInteger().toTuple()):\n return -1\n return [startVector, goalVector]\n\n\ndef performJps(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n jps.pad_field(collision)\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n startX, startY = start\n endX, endY = goal\n try:\n rawPath = jps.jps(collision, startX, startY, endX, endY)\n except:\n return -1\n path = []\n for coord in rawPath:\n path.append(Vector.fromTuple(coord).multiply(mapdata.collisionFactor))\n return path\n\n\n@timeout_decorator.timeout(0.15, use_signals=False)\ndef aStarPath(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n if not isValid(collision, goal):\n return None\n closeSet = set()\n prev = {}\n g = {start: 0}\n f = {start: heuristic(start, goal)}\n openHeap = []\n heappush(openHeap, (f[start], start))\n while openHeap:\n cur = heappop(openHeap)[1]\n if cur == goal:\n path = []\n while cur in prev:\n path.append(Vector.fromTuple(cur).multiply(mapdata.\n collisionFactor))\n cur = prev[cur]\n path = list(reversed(path))\n return path\n closeSet.add(cur)\n for oX, oY in dirs:\n neighbor = cur[0] + oX, cur[1] + oY\n tentGscore = g[cur] + heuristic(cur, neighbor)\n if neighbor[0] < 0 or neighbor[0] >= len(collision) or neighbor[1\n ] < 0 or neighbor[1] >= len(collision[0]) or not isValidMove(\n collision, cur, neighbor, (oX, oY)):\n continue\n if neighbor in closeSet and tentGscore > g.get(neighbor, 0):\n continue\n if tentGscore < g.get(neighbor, 0) or neighbor not in [i[1] for\n i in openHeap]:\n prev[neighbor] = cur\n g[neighbor] = tentGscore\n f[neighbor] = tentGscore + heuristic(neighbor, goal)\n heappush(openHeap, (f[neighbor], neighbor))\n return None\n\n\n<import token>\n\n\ndef setInterval(interval):\n\n def decorator(function):\n\n def wrapper(*args, **kwargs):\n stopped = threading.Event()\n\n def loop():\n while not stopped.wait(interval):\n function(*args, **kwargs)\n t = threading.Thread(target=loop)\n t.daemon = True\n t.start()\n return stopped\n return wrapper\n return decorator\n", "<import token>\n\n\ndef almostEqual(x, y):\n return abs(x - y) < 10 ** -4\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n\n def add(self, other):\n return Vector(self.x + other.x, self.y + other.y)\n\n def minus(self, other):\n return Vector(self.x - other.x, self.y - other.y)\n\n def magnitude(self):\n norm = math.sqrt(self.x ** 2 + self.y ** 2)\n return norm\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n\n def multiply(self, factor):\n return Vector(self.x * factor, self.y * factor)\n\n def distanceSquared(self, other):\n return (self.x - other.x) ** 2 + (self.y - other.y) ** 2\n\n def __repr__(self):\n return '%f,%f' % (self.x, self.y)\n\n def __eq__(self, other):\n return isinstance(other, Vector\n ) and self.x == other.x and self.y == other.y\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n\n def fromTuple(inputTuple):\n x, y = inputTuple\n return Vector(x, y)\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n\n def isZero(self):\n return almostEqual(self.x, 0) and almostEqual(self.y, 0)\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n\n def toJson(self):\n return json.dumps(self.toDict())\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n\n\ndef isValid(array, locTuple):\n x, y = locTuple\n if x < 0 or x >= len(array):\n return False\n if y < 0 or y >= len(array[0]):\n return False\n if array[x][y] == True:\n return False\n return True\n\n\ndef findPathAndSet(goal, currentLocation):\n mapdata = goal.game.map\n startVector = currentLocation\n goalVector = goal.goalLocation\n naivePath = findNaivePath(mapdata, startVector, goalVector)\n if naivePath != -1 and naivePath != None:\n goal.path = naivePath\n goal.pathI = 1\n return\n doJPSAsync(goal, mapdata, startVector, goalVector)\n\n\ndef run_async(func):\n from threading import Thread\n from functools import wraps\n\n @wraps(func)\n def async_func(*args, **kwargs):\n func_hl = Thread(target=func, args=args, kwargs=kwargs)\n func_hl.start()\n return func_hl\n return async_func\n\n\n<function token>\n\n\ndef findNaivePath(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger()\n if start == goal:\n return -1\n if not isValid(collision, start.toTuple()) or not isValid(collision,\n goal.toTuple()):\n return -1\n directionVector = goal.minus(start).normalize()\n current = start\n while current.distanceSquared(goal) > 1.2:\n current = current.add(directionVector)\n if not isValid(collision, current.roundToInteger().toTuple()):\n return -1\n return [startVector, goalVector]\n\n\ndef performJps(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n jps.pad_field(collision)\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n startX, startY = start\n endX, endY = goal\n try:\n rawPath = jps.jps(collision, startX, startY, endX, endY)\n except:\n return -1\n path = []\n for coord in rawPath:\n path.append(Vector.fromTuple(coord).multiply(mapdata.collisionFactor))\n return path\n\n\n@timeout_decorator.timeout(0.15, use_signals=False)\ndef aStarPath(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n if not isValid(collision, goal):\n return None\n closeSet = set()\n prev = {}\n g = {start: 0}\n f = {start: heuristic(start, goal)}\n openHeap = []\n heappush(openHeap, (f[start], start))\n while openHeap:\n cur = heappop(openHeap)[1]\n if cur == goal:\n path = []\n while cur in prev:\n path.append(Vector.fromTuple(cur).multiply(mapdata.\n collisionFactor))\n cur = prev[cur]\n path = list(reversed(path))\n return path\n closeSet.add(cur)\n for oX, oY in dirs:\n neighbor = cur[0] + oX, cur[1] + oY\n tentGscore = g[cur] + heuristic(cur, neighbor)\n if neighbor[0] < 0 or neighbor[0] >= len(collision) or neighbor[1\n ] < 0 or neighbor[1] >= len(collision[0]) or not isValidMove(\n collision, cur, neighbor, (oX, oY)):\n continue\n if neighbor in closeSet and tentGscore > g.get(neighbor, 0):\n continue\n if tentGscore < g.get(neighbor, 0) or neighbor not in [i[1] for\n i in openHeap]:\n prev[neighbor] = cur\n g[neighbor] = tentGscore\n f[neighbor] = tentGscore + heuristic(neighbor, goal)\n heappush(openHeap, (f[neighbor], neighbor))\n return None\n\n\n<import token>\n<function token>\n", "<import token>\n\n\ndef almostEqual(x, y):\n return abs(x - y) < 10 ** -4\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n\n def add(self, other):\n return Vector(self.x + other.x, self.y + other.y)\n\n def minus(self, other):\n return Vector(self.x - other.x, self.y - other.y)\n\n def magnitude(self):\n norm = math.sqrt(self.x ** 2 + self.y ** 2)\n return norm\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n\n def multiply(self, factor):\n return Vector(self.x * factor, self.y * factor)\n\n def distanceSquared(self, other):\n return (self.x - other.x) ** 2 + (self.y - other.y) ** 2\n\n def __repr__(self):\n return '%f,%f' % (self.x, self.y)\n\n def __eq__(self, other):\n return isinstance(other, Vector\n ) and self.x == other.x and self.y == other.y\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n\n def fromTuple(inputTuple):\n x, y = inputTuple\n return Vector(x, y)\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n\n def isZero(self):\n return almostEqual(self.x, 0) and almostEqual(self.y, 0)\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n\n def toJson(self):\n return json.dumps(self.toDict())\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n\n\ndef findPathAndSet(goal, currentLocation):\n mapdata = goal.game.map\n startVector = currentLocation\n goalVector = goal.goalLocation\n naivePath = findNaivePath(mapdata, startVector, goalVector)\n if naivePath != -1 and naivePath != None:\n goal.path = naivePath\n goal.pathI = 1\n return\n doJPSAsync(goal, mapdata, startVector, goalVector)\n\n\ndef run_async(func):\n from threading import Thread\n from functools import wraps\n\n @wraps(func)\n def async_func(*args, **kwargs):\n func_hl = Thread(target=func, args=args, kwargs=kwargs)\n func_hl.start()\n return func_hl\n return async_func\n\n\n<function token>\n\n\ndef findNaivePath(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger()\n if start == goal:\n return -1\n if not isValid(collision, start.toTuple()) or not isValid(collision,\n goal.toTuple()):\n return -1\n directionVector = goal.minus(start).normalize()\n current = start\n while current.distanceSquared(goal) > 1.2:\n current = current.add(directionVector)\n if not isValid(collision, current.roundToInteger().toTuple()):\n return -1\n return [startVector, goalVector]\n\n\ndef performJps(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n jps.pad_field(collision)\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n startX, startY = start\n endX, endY = goal\n try:\n rawPath = jps.jps(collision, startX, startY, endX, endY)\n except:\n return -1\n path = []\n for coord in rawPath:\n path.append(Vector.fromTuple(coord).multiply(mapdata.collisionFactor))\n return path\n\n\n@timeout_decorator.timeout(0.15, use_signals=False)\ndef aStarPath(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n if not isValid(collision, goal):\n return None\n closeSet = set()\n prev = {}\n g = {start: 0}\n f = {start: heuristic(start, goal)}\n openHeap = []\n heappush(openHeap, (f[start], start))\n while openHeap:\n cur = heappop(openHeap)[1]\n if cur == goal:\n path = []\n while cur in prev:\n path.append(Vector.fromTuple(cur).multiply(mapdata.\n collisionFactor))\n cur = prev[cur]\n path = list(reversed(path))\n return path\n closeSet.add(cur)\n for oX, oY in dirs:\n neighbor = cur[0] + oX, cur[1] + oY\n tentGscore = g[cur] + heuristic(cur, neighbor)\n if neighbor[0] < 0 or neighbor[0] >= len(collision) or neighbor[1\n ] < 0 or neighbor[1] >= len(collision[0]) or not isValidMove(\n collision, cur, neighbor, (oX, oY)):\n continue\n if neighbor in closeSet and tentGscore > g.get(neighbor, 0):\n continue\n if tentGscore < g.get(neighbor, 0) or neighbor not in [i[1] for\n i in openHeap]:\n prev[neighbor] = cur\n g[neighbor] = tentGscore\n f[neighbor] = tentGscore + heuristic(neighbor, goal)\n heappush(openHeap, (f[neighbor], neighbor))\n return None\n\n\n<import token>\n<function token>\n", "<import token>\n\n\ndef almostEqual(x, y):\n return abs(x - y) < 10 ** -4\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n\n def add(self, other):\n return Vector(self.x + other.x, self.y + other.y)\n\n def minus(self, other):\n return Vector(self.x - other.x, self.y - other.y)\n\n def magnitude(self):\n norm = math.sqrt(self.x ** 2 + self.y ** 2)\n return norm\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n\n def multiply(self, factor):\n return Vector(self.x * factor, self.y * factor)\n\n def distanceSquared(self, other):\n return (self.x - other.x) ** 2 + (self.y - other.y) ** 2\n\n def __repr__(self):\n return '%f,%f' % (self.x, self.y)\n\n def __eq__(self, other):\n return isinstance(other, Vector\n ) and self.x == other.x and self.y == other.y\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n\n def fromTuple(inputTuple):\n x, y = inputTuple\n return Vector(x, y)\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n\n def isZero(self):\n return almostEqual(self.x, 0) and almostEqual(self.y, 0)\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n\n def toJson(self):\n return json.dumps(self.toDict())\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n\n\ndef findPathAndSet(goal, currentLocation):\n mapdata = goal.game.map\n startVector = currentLocation\n goalVector = goal.goalLocation\n naivePath = findNaivePath(mapdata, startVector, goalVector)\n if naivePath != -1 and naivePath != None:\n goal.path = naivePath\n goal.pathI = 1\n return\n doJPSAsync(goal, mapdata, startVector, goalVector)\n\n\ndef run_async(func):\n from threading import Thread\n from functools import wraps\n\n @wraps(func)\n def async_func(*args, **kwargs):\n func_hl = Thread(target=func, args=args, kwargs=kwargs)\n func_hl.start()\n return func_hl\n return async_func\n\n\n<function token>\n\n\ndef findNaivePath(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger()\n if start == goal:\n return -1\n if not isValid(collision, start.toTuple()) or not isValid(collision,\n goal.toTuple()):\n return -1\n directionVector = goal.minus(start).normalize()\n current = start\n while current.distanceSquared(goal) > 1.2:\n current = current.add(directionVector)\n if not isValid(collision, current.roundToInteger().toTuple()):\n return -1\n return [startVector, goalVector]\n\n\n<function token>\n\n\n@timeout_decorator.timeout(0.15, use_signals=False)\ndef aStarPath(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger(\n ).toTuple()\n if not isValid(collision, goal):\n return None\n closeSet = set()\n prev = {}\n g = {start: 0}\n f = {start: heuristic(start, goal)}\n openHeap = []\n heappush(openHeap, (f[start], start))\n while openHeap:\n cur = heappop(openHeap)[1]\n if cur == goal:\n path = []\n while cur in prev:\n path.append(Vector.fromTuple(cur).multiply(mapdata.\n collisionFactor))\n cur = prev[cur]\n path = list(reversed(path))\n return path\n closeSet.add(cur)\n for oX, oY in dirs:\n neighbor = cur[0] + oX, cur[1] + oY\n tentGscore = g[cur] + heuristic(cur, neighbor)\n if neighbor[0] < 0 or neighbor[0] >= len(collision) or neighbor[1\n ] < 0 or neighbor[1] >= len(collision[0]) or not isValidMove(\n collision, cur, neighbor, (oX, oY)):\n continue\n if neighbor in closeSet and tentGscore > g.get(neighbor, 0):\n continue\n if tentGscore < g.get(neighbor, 0) or neighbor not in [i[1] for\n i in openHeap]:\n prev[neighbor] = cur\n g[neighbor] = tentGscore\n f[neighbor] = tentGscore + heuristic(neighbor, goal)\n heappush(openHeap, (f[neighbor], neighbor))\n return None\n\n\n<import token>\n<function token>\n", "<import token>\n\n\ndef almostEqual(x, y):\n return abs(x - y) < 10 ** -4\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n\n def add(self, other):\n return Vector(self.x + other.x, self.y + other.y)\n\n def minus(self, other):\n return Vector(self.x - other.x, self.y - other.y)\n\n def magnitude(self):\n norm = math.sqrt(self.x ** 2 + self.y ** 2)\n return norm\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n\n def multiply(self, factor):\n return Vector(self.x * factor, self.y * factor)\n\n def distanceSquared(self, other):\n return (self.x - other.x) ** 2 + (self.y - other.y) ** 2\n\n def __repr__(self):\n return '%f,%f' % (self.x, self.y)\n\n def __eq__(self, other):\n return isinstance(other, Vector\n ) and self.x == other.x and self.y == other.y\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n\n def fromTuple(inputTuple):\n x, y = inputTuple\n return Vector(x, y)\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n\n def isZero(self):\n return almostEqual(self.x, 0) and almostEqual(self.y, 0)\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n\n def toJson(self):\n return json.dumps(self.toDict())\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n\n\ndef findPathAndSet(goal, currentLocation):\n mapdata = goal.game.map\n startVector = currentLocation\n goalVector = goal.goalLocation\n naivePath = findNaivePath(mapdata, startVector, goalVector)\n if naivePath != -1 and naivePath != None:\n goal.path = naivePath\n goal.pathI = 1\n return\n doJPSAsync(goal, mapdata, startVector, goalVector)\n\n\ndef run_async(func):\n from threading import Thread\n from functools import wraps\n\n @wraps(func)\n def async_func(*args, **kwargs):\n func_hl = Thread(target=func, args=args, kwargs=kwargs)\n func_hl.start()\n return func_hl\n return async_func\n\n\n<function token>\n\n\ndef findNaivePath(mapdata, startVector, goalVector):\n collision = mapdata.collision.array\n start = startVector.multiply(1 / mapdata.collisionFactor).roundToInteger()\n goal = goalVector.multiply(1 / mapdata.collisionFactor).roundToInteger()\n if start == goal:\n return -1\n if not isValid(collision, start.toTuple()) or not isValid(collision,\n goal.toTuple()):\n return -1\n directionVector = goal.minus(start).normalize()\n current = start\n while current.distanceSquared(goal) > 1.2:\n current = current.add(directionVector)\n if not isValid(collision, current.roundToInteger().toTuple()):\n return -1\n return [startVector, goalVector]\n\n\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n\n\ndef almostEqual(x, y):\n return abs(x - y) < 10 ** -4\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n\n def add(self, other):\n return Vector(self.x + other.x, self.y + other.y)\n\n def minus(self, other):\n return Vector(self.x - other.x, self.y - other.y)\n\n def magnitude(self):\n norm = math.sqrt(self.x ** 2 + self.y ** 2)\n return norm\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n\n def multiply(self, factor):\n return Vector(self.x * factor, self.y * factor)\n\n def distanceSquared(self, other):\n return (self.x - other.x) ** 2 + (self.y - other.y) ** 2\n\n def __repr__(self):\n return '%f,%f' % (self.x, self.y)\n\n def __eq__(self, other):\n return isinstance(other, Vector\n ) and self.x == other.x and self.y == other.y\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n\n def fromTuple(inputTuple):\n x, y = inputTuple\n return Vector(x, y)\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n\n def isZero(self):\n return almostEqual(self.x, 0) and almostEqual(self.y, 0)\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n\n def toJson(self):\n return json.dumps(self.toDict())\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n\n\ndef findPathAndSet(goal, currentLocation):\n mapdata = goal.game.map\n startVector = currentLocation\n goalVector = goal.goalLocation\n naivePath = findNaivePath(mapdata, startVector, goalVector)\n if naivePath != -1 and naivePath != None:\n goal.path = naivePath\n goal.pathI = 1\n return\n doJPSAsync(goal, mapdata, startVector, goalVector)\n\n\ndef run_async(func):\n from threading import Thread\n from functools import wraps\n\n @wraps(func)\n def async_func(*args, **kwargs):\n func_hl = Thread(target=func, args=args, kwargs=kwargs)\n func_hl.start()\n return func_hl\n return async_func\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n\n def add(self, other):\n return Vector(self.x + other.x, self.y + other.y)\n\n def minus(self, other):\n return Vector(self.x - other.x, self.y - other.y)\n\n def magnitude(self):\n norm = math.sqrt(self.x ** 2 + self.y ** 2)\n return norm\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n\n def multiply(self, factor):\n return Vector(self.x * factor, self.y * factor)\n\n def distanceSquared(self, other):\n return (self.x - other.x) ** 2 + (self.y - other.y) ** 2\n\n def __repr__(self):\n return '%f,%f' % (self.x, self.y)\n\n def __eq__(self, other):\n return isinstance(other, Vector\n ) and self.x == other.x and self.y == other.y\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n\n def fromTuple(inputTuple):\n x, y = inputTuple\n return Vector(x, y)\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n\n def isZero(self):\n return almostEqual(self.x, 0) and almostEqual(self.y, 0)\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n\n def toJson(self):\n return json.dumps(self.toDict())\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n\n\ndef findPathAndSet(goal, currentLocation):\n mapdata = goal.game.map\n startVector = currentLocation\n goalVector = goal.goalLocation\n naivePath = findNaivePath(mapdata, startVector, goalVector)\n if naivePath != -1 and naivePath != None:\n goal.path = naivePath\n goal.pathI = 1\n return\n doJPSAsync(goal, mapdata, startVector, goalVector)\n\n\ndef run_async(func):\n from threading import Thread\n from functools import wraps\n\n @wraps(func)\n def async_func(*args, **kwargs):\n func_hl = Thread(target=func, args=args, kwargs=kwargs)\n func_hl.start()\n return func_hl\n return async_func\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n\n def add(self, other):\n return Vector(self.x + other.x, self.y + other.y)\n\n def minus(self, other):\n return Vector(self.x - other.x, self.y - other.y)\n\n def magnitude(self):\n norm = math.sqrt(self.x ** 2 + self.y ** 2)\n return norm\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n\n def multiply(self, factor):\n return Vector(self.x * factor, self.y * factor)\n\n def distanceSquared(self, other):\n return (self.x - other.x) ** 2 + (self.y - other.y) ** 2\n\n def __repr__(self):\n return '%f,%f' % (self.x, self.y)\n\n def __eq__(self, other):\n return isinstance(other, Vector\n ) and self.x == other.x and self.y == other.y\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n\n def fromTuple(inputTuple):\n x, y = inputTuple\n return Vector(x, y)\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n\n def isZero(self):\n return almostEqual(self.x, 0) and almostEqual(self.y, 0)\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n\n def toJson(self):\n return json.dumps(self.toDict())\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n\n\ndef findPathAndSet(goal, currentLocation):\n mapdata = goal.game.map\n startVector = currentLocation\n goalVector = goal.goalLocation\n naivePath = findNaivePath(mapdata, startVector, goalVector)\n if naivePath != -1 and naivePath != None:\n goal.path = naivePath\n goal.pathI = 1\n return\n doJPSAsync(goal, mapdata, startVector, goalVector)\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n\n def add(self, other):\n return Vector(self.x + other.x, self.y + other.y)\n\n def minus(self, other):\n return Vector(self.x - other.x, self.y - other.y)\n\n def magnitude(self):\n norm = math.sqrt(self.x ** 2 + self.y ** 2)\n return norm\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n\n def multiply(self, factor):\n return Vector(self.x * factor, self.y * factor)\n\n def distanceSquared(self, other):\n return (self.x - other.x) ** 2 + (self.y - other.y) ** 2\n\n def __repr__(self):\n return '%f,%f' % (self.x, self.y)\n\n def __eq__(self, other):\n return isinstance(other, Vector\n ) and self.x == other.x and self.y == other.y\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n\n def fromTuple(inputTuple):\n x, y = inputTuple\n return Vector(x, y)\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n\n def isZero(self):\n return almostEqual(self.x, 0) and almostEqual(self.y, 0)\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n\n def toJson(self):\n return json.dumps(self.toDict())\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n\n def add(self, other):\n return Vector(self.x + other.x, self.y + other.y)\n\n def minus(self, other):\n return Vector(self.x - other.x, self.y - other.y)\n <function token>\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n\n def multiply(self, factor):\n return Vector(self.x * factor, self.y * factor)\n\n def distanceSquared(self, other):\n return (self.x - other.x) ** 2 + (self.y - other.y) ** 2\n\n def __repr__(self):\n return '%f,%f' % (self.x, self.y)\n\n def __eq__(self, other):\n return isinstance(other, Vector\n ) and self.x == other.x and self.y == other.y\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n\n def fromTuple(inputTuple):\n x, y = inputTuple\n return Vector(x, y)\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n\n def isZero(self):\n return almostEqual(self.x, 0) and almostEqual(self.y, 0)\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n\n def toJson(self):\n return json.dumps(self.toDict())\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n\n def add(self, other):\n return Vector(self.x + other.x, self.y + other.y)\n\n def minus(self, other):\n return Vector(self.x - other.x, self.y - other.y)\n <function token>\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n\n def multiply(self, factor):\n return Vector(self.x * factor, self.y * factor)\n\n def distanceSquared(self, other):\n return (self.x - other.x) ** 2 + (self.y - other.y) ** 2\n\n def __repr__(self):\n return '%f,%f' % (self.x, self.y)\n\n def __eq__(self, other):\n return isinstance(other, Vector\n ) and self.x == other.x and self.y == other.y\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n <function token>\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n\n def isZero(self):\n return almostEqual(self.x, 0) and almostEqual(self.y, 0)\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n\n def toJson(self):\n return json.dumps(self.toDict())\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n\n def add(self, other):\n return Vector(self.x + other.x, self.y + other.y)\n\n def minus(self, other):\n return Vector(self.x - other.x, self.y - other.y)\n <function token>\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n\n def multiply(self, factor):\n return Vector(self.x * factor, self.y * factor)\n\n def distanceSquared(self, other):\n return (self.x - other.x) ** 2 + (self.y - other.y) ** 2\n\n def __repr__(self):\n return '%f,%f' % (self.x, self.y)\n\n def __eq__(self, other):\n return isinstance(other, Vector\n ) and self.x == other.x and self.y == other.y\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n <function token>\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n\n def isZero(self):\n return almostEqual(self.x, 0) and almostEqual(self.y, 0)\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n\n def toJson(self):\n return json.dumps(self.toDict())\n <function token>\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n\n def add(self, other):\n return Vector(self.x + other.x, self.y + other.y)\n <function token>\n <function token>\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n\n def multiply(self, factor):\n return Vector(self.x * factor, self.y * factor)\n\n def distanceSquared(self, other):\n return (self.x - other.x) ** 2 + (self.y - other.y) ** 2\n\n def __repr__(self):\n return '%f,%f' % (self.x, self.y)\n\n def __eq__(self, other):\n return isinstance(other, Vector\n ) and self.x == other.x and self.y == other.y\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n <function token>\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n\n def isZero(self):\n return almostEqual(self.x, 0) and almostEqual(self.y, 0)\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n\n def toJson(self):\n return json.dumps(self.toDict())\n <function token>\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n <function token>\n <function token>\n <function token>\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n\n def multiply(self, factor):\n return Vector(self.x * factor, self.y * factor)\n\n def distanceSquared(self, other):\n return (self.x - other.x) ** 2 + (self.y - other.y) ** 2\n\n def __repr__(self):\n return '%f,%f' % (self.x, self.y)\n\n def __eq__(self, other):\n return isinstance(other, Vector\n ) and self.x == other.x and self.y == other.y\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n <function token>\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n\n def isZero(self):\n return almostEqual(self.x, 0) and almostEqual(self.y, 0)\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n\n def toJson(self):\n return json.dumps(self.toDict())\n <function token>\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n <function token>\n <function token>\n <function token>\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n\n def multiply(self, factor):\n return Vector(self.x * factor, self.y * factor)\n\n def distanceSquared(self, other):\n return (self.x - other.x) ** 2 + (self.y - other.y) ** 2\n <function token>\n\n def __eq__(self, other):\n return isinstance(other, Vector\n ) and self.x == other.x and self.y == other.y\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n <function token>\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n\n def isZero(self):\n return almostEqual(self.x, 0) and almostEqual(self.y, 0)\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n\n def toJson(self):\n return json.dumps(self.toDict())\n <function token>\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n <function token>\n <function token>\n <function token>\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n\n def multiply(self, factor):\n return Vector(self.x * factor, self.y * factor)\n\n def distanceSquared(self, other):\n return (self.x - other.x) ** 2 + (self.y - other.y) ** 2\n <function token>\n <function token>\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n <function token>\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n\n def isZero(self):\n return almostEqual(self.x, 0) and almostEqual(self.y, 0)\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n\n def toJson(self):\n return json.dumps(self.toDict())\n <function token>\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n <function token>\n <function token>\n <function token>\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n <function token>\n\n def distanceSquared(self, other):\n return (self.x - other.x) ** 2 + (self.y - other.y) ** 2\n <function token>\n <function token>\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n <function token>\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n\n def isZero(self):\n return almostEqual(self.x, 0) and almostEqual(self.y, 0)\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n\n def toJson(self):\n return json.dumps(self.toDict())\n <function token>\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n <function token>\n <function token>\n <function token>\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n <function token>\n <function token>\n <function token>\n <function token>\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n <function token>\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n\n def isZero(self):\n return almostEqual(self.x, 0) and almostEqual(self.y, 0)\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n\n def toJson(self):\n return json.dumps(self.toDict())\n <function token>\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n <function token>\n <function token>\n <function token>\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n <function token>\n <function token>\n <function token>\n <function token>\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n <function token>\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n <function token>\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n\n def toJson(self):\n return json.dumps(self.toDict())\n <function token>\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n <function token>\n <function token>\n <function token>\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n <function token>\n <function token>\n <function token>\n <function token>\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n <function token>\n\n def roundToInteger(self):\n x = int(round(self.x))\n y = int(round(self.y))\n return Vector(x, y)\n <function token>\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n <function token>\n <function token>\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n\n\nclass Vector(object):\n\n def __init__(self, x=0, y=0):\n self.x = x\n self.y = y\n <function token>\n <function token>\n <function token>\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n <function token>\n <function token>\n <function token>\n <function token>\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n <function token>\n <function token>\n <function token>\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n <function token>\n <function token>\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n\n\nclass Vector(object):\n <function token>\n <function token>\n <function token>\n <function token>\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n <function token>\n <function token>\n <function token>\n <function token>\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n <function token>\n <function token>\n <function token>\n\n def toDict(self):\n rawDict = {}\n rawDict['x'] = self.x\n rawDict['y'] = self.y\n return rawDict\n <function token>\n <function token>\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n\n\nclass Vector(object):\n <function token>\n <function token>\n <function token>\n <function token>\n\n def normalize(self):\n if self.isZero():\n return Vector()\n norm = self.magnitude()\n normalizedX = self.x / norm\n normalizedY = self.y / norm\n return Vector(normalizedX, normalizedY)\n <function token>\n <function token>\n <function token>\n <function token>\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n\n\nclass Vector(object):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def toTuple(self):\n return self.x, self.y\n\n def fromString(inputString):\n split = inputString.split(',')\n x = float(split[0])\n y = float(split[1])\n return Vector(x, y)\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n\n\nclass Vector(object):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def toTuple(self):\n return self.x, self.y\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n\n\nclass Vector(object):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n<class token>\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n\n def __repr__(self):\n return str((self.minV, self.maxV))\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n<class token>\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n\n def containsPoint(self, v):\n if v.x < self.minV.x or v.y < self.minV.y:\n return False\n if v.x > self.maxV.x or v.y > self.maxV.y:\n return False\n return True\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n <function token>\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n<class token>\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n <function token>\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n\n def minTranslation(self, other):\n mt = Vector()\n left = other.minV.x - self.maxV.x\n right = other.maxV.x - self.minV.x\n top = other.minV.y - self.maxV.y\n bottom = other.maxV.y - self.minV.y\n if left > 0 or right < 0:\n return mt\n if top > 0 or bottom < 0:\n return mt\n if abs(left) < right:\n mt.x = left\n else:\n mt.x = right\n if abs(top) < bottom:\n mt.y = top\n else:\n mt.y = bottom\n if abs(mt.x) < abs(mt.y):\n mt.y = 0\n else:\n mt.x = 0\n return mt\n <function token>\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n<class token>\n\n\nclass AABB(object):\n\n def __init__(self, minV, maxV):\n self.minV = minV\n self.maxV = maxV\n <function token>\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n <function token>\n <function token>\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n<class token>\n\n\nclass AABB(object):\n <function token>\n <function token>\n\n def collides(self, other):\n if (self.maxV.x < other.minV.x or self.maxV.y < other.minV.y or \n self.minV.x > other.maxV.x or self.minV.y > other.maxV.y):\n return False\n return True\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n <function token>\n <function token>\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n<class token>\n\n\nclass AABB(object):\n <function token>\n <function token>\n <function token>\n\n def center(self):\n return self.minV.add(self.maxV).multiply(0.5)\n <function token>\n <function token>\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n<class token>\n\n\nclass AABB(object):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<import token>\n<function token>\n<class token>\n<class token>\n<function token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<import token>\n<function token>\n" ]
false
98,652
687eb006b3f63faf6793506ffc788cbc08f74343
from django.shortcuts import render#,render_to_response from .forms import log_form from django.http import HttpResponseRedirect from .models import account from django.contrib import messages # from django.core import # from .back_auth import auth # from django.template import RequestContext # Create your views here. def login_view(request): if(request.method == "POST"): login_form = log_form(request.POST) # populate form with data if(login_form.is_valid()): # auths =auth() inst = login_form.cleaned_data # print(inst) ******* DEBUG # au = auths.authenticate(inst['iam'],inst['alias'],inst['passwd']) if((inst['passwd'] == account.objects.get(alias=inst['alias']).passwd)): #and (inst['iam'] in account.objects.get(iam=inst('iam')))): request.session['cred']=[inst] return HttpResponseRedirect('/account') else: messages.add_message(request,messages.ERROR,'Incorrect credentials or password') return render(request,'login.html',{'form':login_form,'inc_cr':'Incorrect credentials or password'}) # return HttpResponseRedirect(reverse('login:login')) else: return render(request,'login.html',{'form':login_form,'inc_cr':'Incorrect credentials or password'}) else: login_form = log_form() # return render(request,'login.html') return render(request,'login.html',{'form':login_form,'inc_cr':''})
[ "from django.shortcuts import render#,render_to_response\nfrom .forms import log_form\nfrom django.http import HttpResponseRedirect\nfrom .models import account\nfrom django.contrib import messages\n# from django.core import \n# from .back_auth import auth\n# from django.template import RequestContext \n\n# Create your views here.\ndef login_view(request):\n if(request.method == \"POST\"):\n login_form = log_form(request.POST) # populate form with data\n if(login_form.is_valid()):\n # auths =auth()\n inst = login_form.cleaned_data\n # print(inst) ******* DEBUG\n # au = auths.authenticate(inst['iam'],inst['alias'],inst['passwd'])\n if((inst['passwd'] == account.objects.get(alias=inst['alias']).passwd)): #and (inst['iam'] in account.objects.get(iam=inst('iam')))):\n request.session['cred']=[inst]\n return HttpResponseRedirect('/account')\n else:\n messages.add_message(request,messages.ERROR,'Incorrect credentials or password')\n return render(request,'login.html',{'form':login_form,'inc_cr':'Incorrect credentials or password'})\n # return HttpResponseRedirect(reverse('login:login'))\n else:\n return render(request,'login.html',{'form':login_form,'inc_cr':'Incorrect credentials or password'})\n\n else:\n login_form = log_form()\n # return render(request,'login.html')\n\n return render(request,'login.html',{'form':login_form,'inc_cr':''})", "from django.shortcuts import render\nfrom .forms import log_form\nfrom django.http import HttpResponseRedirect\nfrom .models import account\nfrom django.contrib import messages\n\n\ndef login_view(request):\n if request.method == 'POST':\n login_form = log_form(request.POST)\n if login_form.is_valid():\n inst = login_form.cleaned_data\n if inst['passwd'] == account.objects.get(alias=inst['alias']\n ).passwd:\n request.session['cred'] = [inst]\n return HttpResponseRedirect('/account')\n else:\n messages.add_message(request, messages.ERROR,\n 'Incorrect credentials or password')\n return render(request, 'login.html', {'form': login_form,\n 'inc_cr': 'Incorrect credentials or password'})\n else:\n return render(request, 'login.html', {'form': login_form,\n 'inc_cr': 'Incorrect credentials or password'})\n else:\n login_form = log_form()\n return render(request, 'login.html', {'form': login_form, 'inc_cr': ''})\n", "<import token>\n\n\ndef login_view(request):\n if request.method == 'POST':\n login_form = log_form(request.POST)\n if login_form.is_valid():\n inst = login_form.cleaned_data\n if inst['passwd'] == account.objects.get(alias=inst['alias']\n ).passwd:\n request.session['cred'] = [inst]\n return HttpResponseRedirect('/account')\n else:\n messages.add_message(request, messages.ERROR,\n 'Incorrect credentials or password')\n return render(request, 'login.html', {'form': login_form,\n 'inc_cr': 'Incorrect credentials or password'})\n else:\n return render(request, 'login.html', {'form': login_form,\n 'inc_cr': 'Incorrect credentials or password'})\n else:\n login_form = log_form()\n return render(request, 'login.html', {'form': login_form, 'inc_cr': ''})\n", "<import token>\n<function token>\n" ]
false
98,653
4fd7119e57c507974a7301601614f1b4445d1aff
#!/usr/bin/python from sys import argv # Skrypt wypisujący z pliku positions.txt kolejne polozenia 1 czasteczki - trzeba najpierw włączyć w .cpp generowanie tego pliku if len(argv) == 2: gr = open ("config.dat") for l in gr.readlines(): a=l.split() if len (a) < 3: continue if a[0] == "NATOMS": natoms = int (a[2]) if len(argv) != 2 and len(argv) != 3: print "Incorrect number of parameters!\nUsage: %s [which_molecule] -- default config.dat search for natoms" % argv[0] print "OR: %s [natoms] [which_molecule]" %argv[0] exit(1) fp = open ("positions.txt") #natoms = int(argv[1]) which = int(argv[2]) while True: for i in range (natoms): l = fp.readline().strip().split() if int(l[0]) == which: print l[1]+" "+l[2]+" "+l[3]
[ "#!/usr/bin/python\nfrom sys import argv\n\n# Skrypt wypisujący z pliku positions.txt kolejne polozenia 1 czasteczki - trzeba najpierw włączyć w .cpp generowanie tego pliku\n\nif len(argv) == 2:\n\tgr = open (\"config.dat\")\n\tfor l in gr.readlines():\n\t\ta=l.split()\n\t\tif len (a) < 3:\n\t\t\tcontinue\n\t\tif a[0] == \"NATOMS\":\n\t\t\tnatoms = int (a[2])\n\nif len(argv) != 2 and len(argv) != 3:\n\tprint \"Incorrect number of parameters!\\nUsage: %s [which_molecule] -- default config.dat search for natoms\" % argv[0]\n\tprint \"OR: %s [natoms] [which_molecule]\" %argv[0]\n\texit(1)\n\nfp = open (\"positions.txt\")\n\n#natoms = int(argv[1])\nwhich = int(argv[2])\n\nwhile True:\n\tfor i in range (natoms):\n\t\tl = fp.readline().strip().split()\n\t\tif int(l[0]) == which:\n\t\t\tprint l[1]+\" \"+l[2]+\" \"+l[3]\n\t\n" ]
true
98,654
1f10f86910f01afcdf919333aca260c647449439
from django.conf.urls import include,url #se agrega include from . import views urlpatterns = [ #url(r'^$',views.listar_eventos, name='home'), #se redirecciona a la url del blog url(r'^grado/nuevo/$', views.grado_nuevo, name = 'detEvento'), #se redirecciona a la url del blog ]
[ "from django.conf.urls import include,url #se agrega include\nfrom . import views\n\nurlpatterns = [\n #url(r'^$',views.listar_eventos, name='home'), #se redirecciona a la url del blog\n url(r'^grado/nuevo/$', views.grado_nuevo, name = 'detEvento'), #se redirecciona a la url del blog\n\n]\n", "from django.conf.urls import include, url\nfrom . import views\nurlpatterns = [url('^grado/nuevo/$', views.grado_nuevo, name='detEvento')]\n", "<import token>\nurlpatterns = [url('^grado/nuevo/$', views.grado_nuevo, name='detEvento')]\n", "<import token>\n<assignment token>\n" ]
false
98,655
c37f1bbe351ff7dc9ad947caf5e1bb67d06994ef
import os import pickle import numpy as np #import tensorflow as tf #from sklearn.metrics.pairwise import cosine_similarity from scipy.spatial import distance model_path = './model/' loss_model = 'nce' #loss_model = 'cross_entropy' model_filepath = os.path.join(model_path, 'word2vec_%s.model'%(loss_model)) dictionary, steps, embeddings = pickle.load(open(model_filepath, 'rb')) """ ========================================================================== Write code to evaluate a relation between pairs of words. You can access your trained model via dictionary and embeddings. dictionary[word] will give you word_id and embeddings[word_id] will return the embedding for that word. word_id = dictionary[word] v1 = embeddings[word_id] or simply v1 = embeddings[dictionary[word_id]] ========================================================================== """ filepath='./word_analogy_dev.txt' #filepath1='./predicted_file_batch.txt' example_set=[] choices_set=[] #cosine_sim=[] f=open("test_nce.txt","w") #avg_set=[] with open (filepath) as fp: contents = fp.readlines() fp.close for c in contents: differences_exp=[] c=c.replace("\"","") c=c.replace("\n","") examples=c.split('||') #print(examples) example_words=examples[0].split(',') #print(example_words) choice_words=examples[1].split(',') #print(choice_words) for i in example_words: pairs=i.split(':') #print(pairs[0]) differences_exp.append(np.subtract(embeddings[dictionary[pairs[0]]],embeddings[dictionary[pairs[1]]])) avg=np.mean(differences_exp) choices_sim=[] for j in choice_words: pairs_choice=j.split(':') diff_choice=np.subtract(embeddings[dictionary[pairs_choice[0]]],embeddings[dictionary[pairs_choice[1]]]) cosine_sim=(1-(distance.cosine(diff_choice,avg))) f.write('"{}"'.format(j)+ " ") choices_sim.append(cosine_sim) #print(choices_sim) most_sim=(choice_words[choices_sim.index(max(choices_sim))]) least_sim=(choice_words[choices_sim.index(min(choices_sim))]) f.write('"{}"'.format(least_sim)+ " ") f.write('"{}"'.format(most_sim)) f.write("\n") f.close() # # # #
[ "import os\nimport pickle\nimport numpy as np\n#import tensorflow as tf\n#from sklearn.metrics.pairwise import cosine_similarity\nfrom scipy.spatial import distance\nmodel_path = './model/'\nloss_model = 'nce'\n#loss_model = 'cross_entropy'\n\nmodel_filepath = os.path.join(model_path, 'word2vec_%s.model'%(loss_model))\n\n\ndictionary, steps, embeddings = pickle.load(open(model_filepath, 'rb'))\n\n\"\"\"\n==========================================================================\n\nWrite code to evaluate a relation between pairs of words.\nYou can access your trained model via dictionary and embeddings.\ndictionary[word] will give you word_id\nand embeddings[word_id] will return the embedding for that word.\n\nword_id = dictionary[word]\nv1 = embeddings[word_id]\n\nor simply\n\nv1 = embeddings[dictionary[word_id]]\n\n==========================================================================\n\"\"\"\nfilepath='./word_analogy_dev.txt'\n#filepath1='./predicted_file_batch.txt'\nexample_set=[]\nchoices_set=[]\n#cosine_sim=[]\nf=open(\"test_nce.txt\",\"w\")\n#avg_set=[]\n\n\nwith open (filepath) as fp:\n contents = fp.readlines()\nfp.close\nfor c in contents:\n differences_exp=[]\n \n c=c.replace(\"\\\"\",\"\")\n c=c.replace(\"\\n\",\"\")\n examples=c.split('||')\n #print(examples)\n example_words=examples[0].split(',')\n #print(example_words)\n choice_words=examples[1].split(',')\n #print(choice_words)\n for i in example_words:\n \n pairs=i.split(':')\n #print(pairs[0])\n differences_exp.append(np.subtract(embeddings[dictionary[pairs[0]]],embeddings[dictionary[pairs[1]]]))\n avg=np.mean(differences_exp)\n choices_sim=[]\n for j in choice_words:\n pairs_choice=j.split(':')\n diff_choice=np.subtract(embeddings[dictionary[pairs_choice[0]]],embeddings[dictionary[pairs_choice[1]]])\n cosine_sim=(1-(distance.cosine(diff_choice,avg))) \n f.write('\"{}\"'.format(j)+ \" \")\n choices_sim.append(cosine_sim)\n #print(choices_sim)\n most_sim=(choice_words[choices_sim.index(max(choices_sim))])\n least_sim=(choice_words[choices_sim.index(min(choices_sim))])\n f.write('\"{}\"'.format(least_sim)+ \" \")\n f.write('\"{}\"'.format(most_sim))\n f.write(\"\\n\")\nf.close()\n# \n#\n# \n# \n ", "import os\nimport pickle\nimport numpy as np\nfrom scipy.spatial import distance\nmodel_path = './model/'\nloss_model = 'nce'\nmodel_filepath = os.path.join(model_path, 'word2vec_%s.model' % loss_model)\ndictionary, steps, embeddings = pickle.load(open(model_filepath, 'rb'))\n<docstring token>\nfilepath = './word_analogy_dev.txt'\nexample_set = []\nchoices_set = []\nf = open('test_nce.txt', 'w')\nwith open(filepath) as fp:\n contents = fp.readlines()\nfp.close\nfor c in contents:\n differences_exp = []\n c = c.replace('\"', '')\n c = c.replace('\\n', '')\n examples = c.split('||')\n example_words = examples[0].split(',')\n choice_words = examples[1].split(',')\n for i in example_words:\n pairs = i.split(':')\n differences_exp.append(np.subtract(embeddings[dictionary[pairs[0]]],\n embeddings[dictionary[pairs[1]]]))\n avg = np.mean(differences_exp)\n choices_sim = []\n for j in choice_words:\n pairs_choice = j.split(':')\n diff_choice = np.subtract(embeddings[dictionary[pairs_choice[0]]],\n embeddings[dictionary[pairs_choice[1]]])\n cosine_sim = 1 - distance.cosine(diff_choice, avg)\n f.write('\"{}\"'.format(j) + ' ')\n choices_sim.append(cosine_sim)\n most_sim = choice_words[choices_sim.index(max(choices_sim))]\n least_sim = choice_words[choices_sim.index(min(choices_sim))]\n f.write('\"{}\"'.format(least_sim) + ' ')\n f.write('\"{}\"'.format(most_sim))\n f.write('\\n')\nf.close()\n", "<import token>\nmodel_path = './model/'\nloss_model = 'nce'\nmodel_filepath = os.path.join(model_path, 'word2vec_%s.model' % loss_model)\ndictionary, steps, embeddings = pickle.load(open(model_filepath, 'rb'))\n<docstring token>\nfilepath = './word_analogy_dev.txt'\nexample_set = []\nchoices_set = []\nf = open('test_nce.txt', 'w')\nwith open(filepath) as fp:\n contents = fp.readlines()\nfp.close\nfor c in contents:\n differences_exp = []\n c = c.replace('\"', '')\n c = c.replace('\\n', '')\n examples = c.split('||')\n example_words = examples[0].split(',')\n choice_words = examples[1].split(',')\n for i in example_words:\n pairs = i.split(':')\n differences_exp.append(np.subtract(embeddings[dictionary[pairs[0]]],\n embeddings[dictionary[pairs[1]]]))\n avg = np.mean(differences_exp)\n choices_sim = []\n for j in choice_words:\n pairs_choice = j.split(':')\n diff_choice = np.subtract(embeddings[dictionary[pairs_choice[0]]],\n embeddings[dictionary[pairs_choice[1]]])\n cosine_sim = 1 - distance.cosine(diff_choice, avg)\n f.write('\"{}\"'.format(j) + ' ')\n choices_sim.append(cosine_sim)\n most_sim = choice_words[choices_sim.index(max(choices_sim))]\n least_sim = choice_words[choices_sim.index(min(choices_sim))]\n f.write('\"{}\"'.format(least_sim) + ' ')\n f.write('\"{}\"'.format(most_sim))\n f.write('\\n')\nf.close()\n", "<import token>\n<assignment token>\n<docstring token>\n<assignment token>\nwith open(filepath) as fp:\n contents = fp.readlines()\nfp.close\nfor c in contents:\n differences_exp = []\n c = c.replace('\"', '')\n c = c.replace('\\n', '')\n examples = c.split('||')\n example_words = examples[0].split(',')\n choice_words = examples[1].split(',')\n for i in example_words:\n pairs = i.split(':')\n differences_exp.append(np.subtract(embeddings[dictionary[pairs[0]]],\n embeddings[dictionary[pairs[1]]]))\n avg = np.mean(differences_exp)\n choices_sim = []\n for j in choice_words:\n pairs_choice = j.split(':')\n diff_choice = np.subtract(embeddings[dictionary[pairs_choice[0]]],\n embeddings[dictionary[pairs_choice[1]]])\n cosine_sim = 1 - distance.cosine(diff_choice, avg)\n f.write('\"{}\"'.format(j) + ' ')\n choices_sim.append(cosine_sim)\n most_sim = choice_words[choices_sim.index(max(choices_sim))]\n least_sim = choice_words[choices_sim.index(min(choices_sim))]\n f.write('\"{}\"'.format(least_sim) + ' ')\n f.write('\"{}\"'.format(most_sim))\n f.write('\\n')\nf.close()\n", "<import token>\n<assignment token>\n<docstring token>\n<assignment token>\n<code token>\n" ]
false
98,656
b361223ee3bb02afe4801552d17d3ce7fef6d465
def load(file_name): """ Returns a list which containing .opam file data line by line. It opens file in read mode and split that line by line and append it to he file_data. """ file_data = [] with io.open(file_name, "r", encoding="utf-8") as f: file_data = [line.rstrip('\n') for line in f] return file_data def get_version(file_data): """ Return the value of opam-version. """ for individual in file_data: if 'opam-version' in individual: version = individual.split('"') return version[1] def get_maintainer(file_data): """ Return the value of maintainer. """ for individual in file_data: if 'maintainer' in individual: maintainer = individual.split('"') return maintainer[1] def get_synopsis(file_data): """ Return the value of synopsis. """ for individual in file_data: if 'synopsis' in individual: synopsis = individual.split('"') return synopsis[1]
[ "def load(file_name):\n \"\"\"\n Returns a list which containing .opam file data line by line.\n It opens file in read mode and split that line by line and\n append it to he file_data.\n \"\"\"\n file_data = []\n with io.open(file_name, \"r\", encoding=\"utf-8\") as f:\n file_data = [line.rstrip('\\n') for line in f]\n return file_data\n\n\ndef get_version(file_data):\n \"\"\"\n Return the value of opam-version.\n \"\"\"\n for individual in file_data:\n if 'opam-version' in individual:\n version = individual.split('\"')\n return version[1]\n\n\ndef get_maintainer(file_data):\n \"\"\"\n Return the value of maintainer.\n \"\"\"\n for individual in file_data:\n if 'maintainer' in individual:\n maintainer = individual.split('\"')\n return maintainer[1]\n\n\ndef get_synopsis(file_data):\n \"\"\"\n Return the value of synopsis.\n \"\"\"\n for individual in file_data:\n if 'synopsis' in individual:\n synopsis = individual.split('\"')\n return synopsis[1]\n\n", "def load(file_name):\n \"\"\"\n Returns a list which containing .opam file data line by line.\n It opens file in read mode and split that line by line and\n append it to he file_data.\n \"\"\"\n file_data = []\n with io.open(file_name, 'r', encoding='utf-8') as f:\n file_data = [line.rstrip('\\n') for line in f]\n return file_data\n\n\ndef get_version(file_data):\n \"\"\"\n Return the value of opam-version.\n \"\"\"\n for individual in file_data:\n if 'opam-version' in individual:\n version = individual.split('\"')\n return version[1]\n\n\ndef get_maintainer(file_data):\n \"\"\"\n Return the value of maintainer.\n \"\"\"\n for individual in file_data:\n if 'maintainer' in individual:\n maintainer = individual.split('\"')\n return maintainer[1]\n\n\ndef get_synopsis(file_data):\n \"\"\"\n Return the value of synopsis.\n \"\"\"\n for individual in file_data:\n if 'synopsis' in individual:\n synopsis = individual.split('\"')\n return synopsis[1]\n", "<function token>\n\n\ndef get_version(file_data):\n \"\"\"\n Return the value of opam-version.\n \"\"\"\n for individual in file_data:\n if 'opam-version' in individual:\n version = individual.split('\"')\n return version[1]\n\n\ndef get_maintainer(file_data):\n \"\"\"\n Return the value of maintainer.\n \"\"\"\n for individual in file_data:\n if 'maintainer' in individual:\n maintainer = individual.split('\"')\n return maintainer[1]\n\n\ndef get_synopsis(file_data):\n \"\"\"\n Return the value of synopsis.\n \"\"\"\n for individual in file_data:\n if 'synopsis' in individual:\n synopsis = individual.split('\"')\n return synopsis[1]\n", "<function token>\n\n\ndef get_version(file_data):\n \"\"\"\n Return the value of opam-version.\n \"\"\"\n for individual in file_data:\n if 'opam-version' in individual:\n version = individual.split('\"')\n return version[1]\n\n\ndef get_maintainer(file_data):\n \"\"\"\n Return the value of maintainer.\n \"\"\"\n for individual in file_data:\n if 'maintainer' in individual:\n maintainer = individual.split('\"')\n return maintainer[1]\n\n\n<function token>\n", "<function token>\n\n\ndef get_version(file_data):\n \"\"\"\n Return the value of opam-version.\n \"\"\"\n for individual in file_data:\n if 'opam-version' in individual:\n version = individual.split('\"')\n return version[1]\n\n\n<function token>\n<function token>\n", "<function token>\n<function token>\n<function token>\n<function token>\n" ]
false
98,657
1821bdccf9a8a31b12dfb076ca9c0832771e2d3a
#https://pintia.cn/problem-sets/951072707007700992/problems/977489194356715520 #实现了AVLTree的put功能 #没有实现delete功能 class Node: def __init__(self,data): self.data = data self.left = None self.right = None self.height = 0 class AVLTree: def __init__(self): self.root = None def height(self,node): if node is None: return -1 else: return node.height #破坏者在被破坏者的左子树的左子树上 def LLrotate(self,node): temp = node.left node.left = temp.right temp.right = node node.height = max(self.height(node.left),self.height(node.right))+1 temp.height = max(self.height(temp.left),self.height(node.right))+1 return temp def RRrotate(self,node): temp = node.right node.right = temp.left temp.left = node node.height = max(self.height(node.left),self.height(node.right))+1 temp.height = max(self.height(node.left),self.height(node.right))+1 return temp #破坏者在被破坏者的右子树的左子树上 #先做一次LL旋转再做一次RR旋转 def RLrotate(self,node): node.right = self.LLrotate(node.right) return self.RRrotate(node) def LRrotare(self,node): node.left = self.RRrotate(node.left) return self.LLrotate(node) def put(self,data): if not self.root: self.root = Node(data) else: self.root = self._put(data,self.root) def _put(self,data,node): if node is None: node = Node(data) elif data < node.data: node.left = self._put(data,node.left) if (self.height(node.left) - self.height(node.right)) == 2: if data < node.left.data: node = self.LLrotate(node) else: node = self.LRrotare(node) elif data > node.data: node.right = self._put(data,node.right) if (self.height(node.right) - self.height(node.left)) == 2: if data < node.right.data: node = self.RLrotate(node) else: node = self.RRrotate(node) node.height = max(self.height(node.left),self.height(node.right)) + 1 return node def main(): N = input() li = input().split() tree = AVLTree() for i in li: tree.put(int(i)) print(tree.root.data) main()
[ "#https://pintia.cn/problem-sets/951072707007700992/problems/977489194356715520\n#实现了AVLTree的put功能\n#没有实现delete功能\n\nclass Node:\n\tdef __init__(self,data):\n\t\tself.data = data\n\t\tself.left = None\n\t\tself.right = None\n\t\tself.height = 0\n\t\t\nclass AVLTree:\n\tdef __init__(self):\n\t\tself.root = None\n\t\t\n\tdef height(self,node):\n\t\tif node is None:\n\t\t\treturn -1\n\t\telse:\n\t\t\treturn node.height\n\t#破坏者在被破坏者的左子树的左子树上\t\n\tdef LLrotate(self,node):\n\t\ttemp = node.left\n\t\tnode.left = temp.right\n\t\ttemp.right = node\n\t\tnode.height = max(self.height(node.left),self.height(node.right))+1\n\t\ttemp.height = max(self.height(temp.left),self.height(node.right))+1\n\t\treturn temp\n\t\n\tdef RRrotate(self,node):\n\t\ttemp = node.right\n\t\tnode.right = temp.left\n\t\ttemp.left = node\n\t\tnode.height = max(self.height(node.left),self.height(node.right))+1\n\t\ttemp.height = max(self.height(node.left),self.height(node.right))+1\n\t\treturn temp\n\t#破坏者在被破坏者的右子树的左子树上\n\t#先做一次LL旋转再做一次RR旋转\n\tdef RLrotate(self,node):\n\t\tnode.right = self.LLrotate(node.right)\n\t\treturn self.RRrotate(node)\n\t\t\n\tdef LRrotare(self,node):\n\t\tnode.left = self.RRrotate(node.left)\n\t\treturn self.LLrotate(node)\n\t\t\n\tdef put(self,data):\n\t\tif not self.root:\n\t\t\tself.root = Node(data)\n\t\telse:\n\t\t\tself.root = self._put(data,self.root)\n\tdef _put(self,data,node):\n\t\tif node is None:\n\t\t\tnode = Node(data)\n\t\telif data < node.data:\n\t\t\tnode.left = self._put(data,node.left)\n\t\t\tif (self.height(node.left) - self.height(node.right)) == 2:\n\t\t\t\tif data < node.left.data:\n\t\t\t\t\tnode = self.LLrotate(node)\n\t\t\t\telse:\n\t\t\t\t\tnode = self.LRrotare(node)\n\t\telif data > node.data:\n\t\t\tnode.right = self._put(data,node.right)\n\t\t\tif (self.height(node.right) - self.height(node.left)) == 2:\n\t\t\t\tif data < node.right.data:\n\t\t\t\t\tnode = self.RLrotate(node)\n\t\t\t\telse:\n\t\t\t\t\tnode = self.RRrotate(node)\n\t\t\t\n\t\tnode.height = max(self.height(node.left),self.height(node.right)) + 1\n\t\treturn node\n\t\t\t\ndef main():\n\tN = input()\n\tli = input().split()\n\ttree = AVLTree()\n\tfor i in li:\n\t\ttree.put(int(i))\n\tprint(tree.root.data)\nmain()", "class Node:\n\n def __init__(self, data):\n self.data = data\n self.left = None\n self.right = None\n self.height = 0\n\n\nclass AVLTree:\n\n def __init__(self):\n self.root = None\n\n def height(self, node):\n if node is None:\n return -1\n else:\n return node.height\n\n def LLrotate(self, node):\n temp = node.left\n node.left = temp.right\n temp.right = node\n node.height = max(self.height(node.left), self.height(node.right)) + 1\n temp.height = max(self.height(temp.left), self.height(node.right)) + 1\n return temp\n\n def RRrotate(self, node):\n temp = node.right\n node.right = temp.left\n temp.left = node\n node.height = max(self.height(node.left), self.height(node.right)) + 1\n temp.height = max(self.height(node.left), self.height(node.right)) + 1\n return temp\n\n def RLrotate(self, node):\n node.right = self.LLrotate(node.right)\n return self.RRrotate(node)\n\n def LRrotare(self, node):\n node.left = self.RRrotate(node.left)\n return self.LLrotate(node)\n\n def put(self, data):\n if not self.root:\n self.root = Node(data)\n else:\n self.root = self._put(data, self.root)\n\n def _put(self, data, node):\n if node is None:\n node = Node(data)\n elif data < node.data:\n node.left = self._put(data, node.left)\n if self.height(node.left) - self.height(node.right) == 2:\n if data < node.left.data:\n node = self.LLrotate(node)\n else:\n node = self.LRrotare(node)\n elif data > node.data:\n node.right = self._put(data, node.right)\n if self.height(node.right) - self.height(node.left) == 2:\n if data < node.right.data:\n node = self.RLrotate(node)\n else:\n node = self.RRrotate(node)\n node.height = max(self.height(node.left), self.height(node.right)) + 1\n return node\n\n\ndef main():\n N = input()\n li = input().split()\n tree = AVLTree()\n for i in li:\n tree.put(int(i))\n print(tree.root.data)\n\n\nmain()\n", "class Node:\n\n def __init__(self, data):\n self.data = data\n self.left = None\n self.right = None\n self.height = 0\n\n\nclass AVLTree:\n\n def __init__(self):\n self.root = None\n\n def height(self, node):\n if node is None:\n return -1\n else:\n return node.height\n\n def LLrotate(self, node):\n temp = node.left\n node.left = temp.right\n temp.right = node\n node.height = max(self.height(node.left), self.height(node.right)) + 1\n temp.height = max(self.height(temp.left), self.height(node.right)) + 1\n return temp\n\n def RRrotate(self, node):\n temp = node.right\n node.right = temp.left\n temp.left = node\n node.height = max(self.height(node.left), self.height(node.right)) + 1\n temp.height = max(self.height(node.left), self.height(node.right)) + 1\n return temp\n\n def RLrotate(self, node):\n node.right = self.LLrotate(node.right)\n return self.RRrotate(node)\n\n def LRrotare(self, node):\n node.left = self.RRrotate(node.left)\n return self.LLrotate(node)\n\n def put(self, data):\n if not self.root:\n self.root = Node(data)\n else:\n self.root = self._put(data, self.root)\n\n def _put(self, data, node):\n if node is None:\n node = Node(data)\n elif data < node.data:\n node.left = self._put(data, node.left)\n if self.height(node.left) - self.height(node.right) == 2:\n if data < node.left.data:\n node = self.LLrotate(node)\n else:\n node = self.LRrotare(node)\n elif data > node.data:\n node.right = self._put(data, node.right)\n if self.height(node.right) - self.height(node.left) == 2:\n if data < node.right.data:\n node = self.RLrotate(node)\n else:\n node = self.RRrotate(node)\n node.height = max(self.height(node.left), self.height(node.right)) + 1\n return node\n\n\ndef main():\n N = input()\n li = input().split()\n tree = AVLTree()\n for i in li:\n tree.put(int(i))\n print(tree.root.data)\n\n\n<code token>\n", "class Node:\n\n def __init__(self, data):\n self.data = data\n self.left = None\n self.right = None\n self.height = 0\n\n\nclass AVLTree:\n\n def __init__(self):\n self.root = None\n\n def height(self, node):\n if node is None:\n return -1\n else:\n return node.height\n\n def LLrotate(self, node):\n temp = node.left\n node.left = temp.right\n temp.right = node\n node.height = max(self.height(node.left), self.height(node.right)) + 1\n temp.height = max(self.height(temp.left), self.height(node.right)) + 1\n return temp\n\n def RRrotate(self, node):\n temp = node.right\n node.right = temp.left\n temp.left = node\n node.height = max(self.height(node.left), self.height(node.right)) + 1\n temp.height = max(self.height(node.left), self.height(node.right)) + 1\n return temp\n\n def RLrotate(self, node):\n node.right = self.LLrotate(node.right)\n return self.RRrotate(node)\n\n def LRrotare(self, node):\n node.left = self.RRrotate(node.left)\n return self.LLrotate(node)\n\n def put(self, data):\n if not self.root:\n self.root = Node(data)\n else:\n self.root = self._put(data, self.root)\n\n def _put(self, data, node):\n if node is None:\n node = Node(data)\n elif data < node.data:\n node.left = self._put(data, node.left)\n if self.height(node.left) - self.height(node.right) == 2:\n if data < node.left.data:\n node = self.LLrotate(node)\n else:\n node = self.LRrotare(node)\n elif data > node.data:\n node.right = self._put(data, node.right)\n if self.height(node.right) - self.height(node.left) == 2:\n if data < node.right.data:\n node = self.RLrotate(node)\n else:\n node = self.RRrotate(node)\n node.height = max(self.height(node.left), self.height(node.right)) + 1\n return node\n\n\n<function token>\n<code token>\n", "class Node:\n <function token>\n\n\nclass AVLTree:\n\n def __init__(self):\n self.root = None\n\n def height(self, node):\n if node is None:\n return -1\n else:\n return node.height\n\n def LLrotate(self, node):\n temp = node.left\n node.left = temp.right\n temp.right = node\n node.height = max(self.height(node.left), self.height(node.right)) + 1\n temp.height = max(self.height(temp.left), self.height(node.right)) + 1\n return temp\n\n def RRrotate(self, node):\n temp = node.right\n node.right = temp.left\n temp.left = node\n node.height = max(self.height(node.left), self.height(node.right)) + 1\n temp.height = max(self.height(node.left), self.height(node.right)) + 1\n return temp\n\n def RLrotate(self, node):\n node.right = self.LLrotate(node.right)\n return self.RRrotate(node)\n\n def LRrotare(self, node):\n node.left = self.RRrotate(node.left)\n return self.LLrotate(node)\n\n def put(self, data):\n if not self.root:\n self.root = Node(data)\n else:\n self.root = self._put(data, self.root)\n\n def _put(self, data, node):\n if node is None:\n node = Node(data)\n elif data < node.data:\n node.left = self._put(data, node.left)\n if self.height(node.left) - self.height(node.right) == 2:\n if data < node.left.data:\n node = self.LLrotate(node)\n else:\n node = self.LRrotare(node)\n elif data > node.data:\n node.right = self._put(data, node.right)\n if self.height(node.right) - self.height(node.left) == 2:\n if data < node.right.data:\n node = self.RLrotate(node)\n else:\n node = self.RRrotate(node)\n node.height = max(self.height(node.left), self.height(node.right)) + 1\n return node\n\n\n<function token>\n<code token>\n", "<class token>\n\n\nclass AVLTree:\n\n def __init__(self):\n self.root = None\n\n def height(self, node):\n if node is None:\n return -1\n else:\n return node.height\n\n def LLrotate(self, node):\n temp = node.left\n node.left = temp.right\n temp.right = node\n node.height = max(self.height(node.left), self.height(node.right)) + 1\n temp.height = max(self.height(temp.left), self.height(node.right)) + 1\n return temp\n\n def RRrotate(self, node):\n temp = node.right\n node.right = temp.left\n temp.left = node\n node.height = max(self.height(node.left), self.height(node.right)) + 1\n temp.height = max(self.height(node.left), self.height(node.right)) + 1\n return temp\n\n def RLrotate(self, node):\n node.right = self.LLrotate(node.right)\n return self.RRrotate(node)\n\n def LRrotare(self, node):\n node.left = self.RRrotate(node.left)\n return self.LLrotate(node)\n\n def put(self, data):\n if not self.root:\n self.root = Node(data)\n else:\n self.root = self._put(data, self.root)\n\n def _put(self, data, node):\n if node is None:\n node = Node(data)\n elif data < node.data:\n node.left = self._put(data, node.left)\n if self.height(node.left) - self.height(node.right) == 2:\n if data < node.left.data:\n node = self.LLrotate(node)\n else:\n node = self.LRrotare(node)\n elif data > node.data:\n node.right = self._put(data, node.right)\n if self.height(node.right) - self.height(node.left) == 2:\n if data < node.right.data:\n node = self.RLrotate(node)\n else:\n node = self.RRrotate(node)\n node.height = max(self.height(node.left), self.height(node.right)) + 1\n return node\n\n\n<function token>\n<code token>\n", "<class token>\n\n\nclass AVLTree:\n\n def __init__(self):\n self.root = None\n\n def height(self, node):\n if node is None:\n return -1\n else:\n return node.height\n <function token>\n\n def RRrotate(self, node):\n temp = node.right\n node.right = temp.left\n temp.left = node\n node.height = max(self.height(node.left), self.height(node.right)) + 1\n temp.height = max(self.height(node.left), self.height(node.right)) + 1\n return temp\n\n def RLrotate(self, node):\n node.right = self.LLrotate(node.right)\n return self.RRrotate(node)\n\n def LRrotare(self, node):\n node.left = self.RRrotate(node.left)\n return self.LLrotate(node)\n\n def put(self, data):\n if not self.root:\n self.root = Node(data)\n else:\n self.root = self._put(data, self.root)\n\n def _put(self, data, node):\n if node is None:\n node = Node(data)\n elif data < node.data:\n node.left = self._put(data, node.left)\n if self.height(node.left) - self.height(node.right) == 2:\n if data < node.left.data:\n node = self.LLrotate(node)\n else:\n node = self.LRrotare(node)\n elif data > node.data:\n node.right = self._put(data, node.right)\n if self.height(node.right) - self.height(node.left) == 2:\n if data < node.right.data:\n node = self.RLrotate(node)\n else:\n node = self.RRrotate(node)\n node.height = max(self.height(node.left), self.height(node.right)) + 1\n return node\n\n\n<function token>\n<code token>\n", "<class token>\n\n\nclass AVLTree:\n\n def __init__(self):\n self.root = None\n\n def height(self, node):\n if node is None:\n return -1\n else:\n return node.height\n <function token>\n\n def RRrotate(self, node):\n temp = node.right\n node.right = temp.left\n temp.left = node\n node.height = max(self.height(node.left), self.height(node.right)) + 1\n temp.height = max(self.height(node.left), self.height(node.right)) + 1\n return temp\n <function token>\n\n def LRrotare(self, node):\n node.left = self.RRrotate(node.left)\n return self.LLrotate(node)\n\n def put(self, data):\n if not self.root:\n self.root = Node(data)\n else:\n self.root = self._put(data, self.root)\n\n def _put(self, data, node):\n if node is None:\n node = Node(data)\n elif data < node.data:\n node.left = self._put(data, node.left)\n if self.height(node.left) - self.height(node.right) == 2:\n if data < node.left.data:\n node = self.LLrotate(node)\n else:\n node = self.LRrotare(node)\n elif data > node.data:\n node.right = self._put(data, node.right)\n if self.height(node.right) - self.height(node.left) == 2:\n if data < node.right.data:\n node = self.RLrotate(node)\n else:\n node = self.RRrotate(node)\n node.height = max(self.height(node.left), self.height(node.right)) + 1\n return node\n\n\n<function token>\n<code token>\n", "<class token>\n\n\nclass AVLTree:\n\n def __init__(self):\n self.root = None\n\n def height(self, node):\n if node is None:\n return -1\n else:\n return node.height\n <function token>\n <function token>\n <function token>\n\n def LRrotare(self, node):\n node.left = self.RRrotate(node.left)\n return self.LLrotate(node)\n\n def put(self, data):\n if not self.root:\n self.root = Node(data)\n else:\n self.root = self._put(data, self.root)\n\n def _put(self, data, node):\n if node is None:\n node = Node(data)\n elif data < node.data:\n node.left = self._put(data, node.left)\n if self.height(node.left) - self.height(node.right) == 2:\n if data < node.left.data:\n node = self.LLrotate(node)\n else:\n node = self.LRrotare(node)\n elif data > node.data:\n node.right = self._put(data, node.right)\n if self.height(node.right) - self.height(node.left) == 2:\n if data < node.right.data:\n node = self.RLrotate(node)\n else:\n node = self.RRrotate(node)\n node.height = max(self.height(node.left), self.height(node.right)) + 1\n return node\n\n\n<function token>\n<code token>\n", "<class token>\n\n\nclass AVLTree:\n\n def __init__(self):\n self.root = None\n\n def height(self, node):\n if node is None:\n return -1\n else:\n return node.height\n <function token>\n <function token>\n <function token>\n\n def LRrotare(self, node):\n node.left = self.RRrotate(node.left)\n return self.LLrotate(node)\n\n def put(self, data):\n if not self.root:\n self.root = Node(data)\n else:\n self.root = self._put(data, self.root)\n <function token>\n\n\n<function token>\n<code token>\n", "<class token>\n\n\nclass AVLTree:\n <function token>\n\n def height(self, node):\n if node is None:\n return -1\n else:\n return node.height\n <function token>\n <function token>\n <function token>\n\n def LRrotare(self, node):\n node.left = self.RRrotate(node.left)\n return self.LLrotate(node)\n\n def put(self, data):\n if not self.root:\n self.root = Node(data)\n else:\n self.root = self._put(data, self.root)\n <function token>\n\n\n<function token>\n<code token>\n", "<class token>\n\n\nclass AVLTree:\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def LRrotare(self, node):\n node.left = self.RRrotate(node.left)\n return self.LLrotate(node)\n\n def put(self, data):\n if not self.root:\n self.root = Node(data)\n else:\n self.root = self._put(data, self.root)\n <function token>\n\n\n<function token>\n<code token>\n", "<class token>\n\n\nclass AVLTree:\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def LRrotare(self, node):\n node.left = self.RRrotate(node.left)\n return self.LLrotate(node)\n <function token>\n <function token>\n\n\n<function token>\n<code token>\n", "<class token>\n\n\nclass AVLTree:\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<function token>\n<code token>\n", "<class token>\n<class token>\n<function token>\n<code token>\n" ]
false
98,658
9eaf3bd7a1779785f195d06b96613455a8a6416f
import sys from math import log2 from typing import Union, Tuple import hypothesis.strategies as st from hypothesis import given, settings class Node: """Node class for AVL tree. Implements many useful methods.""" def __init__(self, key: int): # the node determines its subtree also self.key: int = key self.sum: int = self.key # sum of keys in subtree self.height: int = 1 # height of subtree self.size: int = 1 # size of subtree self.balance_factor: int = 0 self.parent: Union[Node, None] = None self.left: Union[Node, None] = None self.right: Union[Node, None] = None def __repr__(self): return f"Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, " \ f"size={self.size}, sum={self.sum})" def __iter__(self): """In-order traversal of subtree.""" if self.left is not None: yield from self.left yield self if self.right is not None: yield from self.right def __getitem__(self, item: int, base: int = 1) -> "Node": """Access element by index.""" item += base ^ 1 left_size = self.left.size if self.left is not None else 0 if 0 < item < left_size + 1: return self.left.__getitem__(item) elif item == left_size + 1: return self elif left_size + 1 < item <= self.size: return self.right.__getitem__(item - left_size - 1) else: raise IndexError(f"Index out of range: {item - base ^ 1}") def __erase_links(self): self.parent = None self.left = None self.right = None def __update_height(self): left_height = self.left.height if self.left is not None else 0 right_height = self.right.height if self.right is not None else 0 self.height = 1 + max(left_height, right_height) self.balance_factor = right_height - left_height def __update_sum(self): left_sum = self.left.sum if self.left is not None else 0 right_sum = self.right.sum if self.right is not None else 0 self.sum = self.key + left_sum + right_sum def __update_size(self): left_size = self.left.size if self.left is not None else 0 right_size = self.right.size if self.right is not None else 0 self.size = 1 + left_size + right_size def __update_all(self): self.__update_height() self.__update_size() self.__update_sum() def __rotate_left(self) -> "Node": """Perform a left AVL rotation on the node. Returns new root of the subtree.""" lower = self.right # add left subtree of lower to upper (self) as right child and update links self.right = lower.left if self.right is not None: self.right.parent = self self.__update_all() # update lower and upper links parent = self.parent lower.left = self self.parent = lower lower.__update_all() # update parent links lower.parent = parent if parent is not None and parent.left == self: parent.left = lower elif parent is not None and parent.right == self: parent.right = lower return lower # new root of subtree def __rotate_right(self) -> "Node": """Perform a right AVL rotation on the node. Returns new root of the subtree.""" lower = self.left # add right subtree of lower to upper (self) as left child and update links self.left = lower.right if self.left is not None: self.left.parent = self self.__update_all() # update lower and upper links parent = self.parent lower.right = self self.parent = lower lower.__update_all() # update parent links lower.parent = parent if parent is not None and parent.left == self: parent.left = lower elif parent is not None and parent.right == self: parent.right = lower return lower # new root of subtree def __balance(self) -> "Node": """Balance tree starting from current node. Return root node of the whole tree.""" current = self while True: current.__update_height() if current.balance_factor == 2: # right subtree is higher middle = current.right if middle.balance_factor < 0: # left subtree of middle node is higher middle.__rotate_right() current = current.__rotate_left() elif current.balance_factor == -2: # left subtree is higher middle = current.left if middle.balance_factor > 0: # right subtree of middle node is higher middle.__rotate_left() current = current.__rotate_right() else: current.__update_size() current.__update_sum() if current.parent is None: return current # return root current = current.parent # go up if not root def add_left(self, key: int) -> "Node": """Add left child, return new root. Raises an exception when such child exists.""" if self.left is None: if key >= self.key: raise ValueError("Key isn't less than parent's key") self.left = Node(key=key) self.left.parent = self else: raise ValueError("Left child exists") return self.__balance() def add_right(self, key: int) -> "Node": """Add right child, return new root. Raises an exception when such child exists.""" if self.right is None: if key <= self.key: raise ValueError("Key isn't bigger than parent's key") self.right = Node(key=key) self.right.parent = self else: raise ValueError("Right child exists") return self.__balance() def min(self) -> "Node": """Return element with minimal key in this subtree.""" current = self while current.left is not None: current = current.left return current def max(self) -> "Node": """Return element with maximal key in this subtree.""" current = self while current.right is not None: current = current.right return current def predecessor(self) -> Union["Node", None]: """Return element with previous key.""" if self.left is not None: # case 1: the node has a left child return self.left.max() else: # case 2: the node does not have a left child current = self while current.parent is not None: # traverse up if current == current.parent.right: return current.parent else: current = current.parent return None # the root is reached, so no predecessor exists def successor(self) -> Union["Node", None]: """Return element with next key.""" if self.right is not None: # case 1: the node has a right child return self.right.min() else: # case 2: the node does not have a right child current = self while current.parent is not None: # traverse up if current == current.parent.left: return current.parent else: current = current.parent return None # the root is reached, so no successor exists def find(self, key) -> Union["Node", None]: """Return element with such key if present, otherwise None.""" current = self while key != current.key: if key < current.key: current = current.left # traverse left elif key > current.key: current = current.right # traverse right if current is None: # failure break return current def remove(self): """Remove element from the tree, update links of adjacent nodes.""" parent = self.parent if self.left is None and self.right is None: # case 1: no children if parent is None: return None # remove root elif parent.left is self: parent.left = None # remove left leaf elif parent.right is self: parent.right = None # remove right leaf elif self.left is not None and self.right is None: # case 2: left child left = self.left left.parent = parent self.left = None if parent is None: return left # left is new root elif parent.left is self: parent.left = left # update left leaf elif parent.right is self: parent.right = left # update right leaf elif self.left is None and self.right is not None: # case 3: right child right = self.right right.parent = parent self.right = None if parent is None: return right # right is new root elif parent.left is self: parent.left = right # update left leaf elif parent.right is self: parent.right = right # update right leaf else: # case 4: both child successor = self.successor() self.key = successor.key # exchange keys return successor.remove() # remove successor leaf self.parent = None # remove last link from the node return parent.__balance() def split_sums(self, key: int) -> Tuple[int, int]: """Compute sum of all keys less than this one, sum of all keys greater than this one and then return them.""" current = self less, greater = 0, 0 while key != current.key: if key < current.key: # add all greater keys greater += current.right.sum if current.right is not None else 0 greater += current.key current = current.left # traverse left elif key > current.key: # add all smaller keys less += current.left.sum if current.left is not None else 0 less += current.key current = current.right # traverse right if current is None: # key not found break if current is not None: # add from children less += current.left.sum if current.left is not None else 0 greater += current.right.sum if current.right is not None else 0 return less, greater class AVLTree: def __init__(self, root=None): self.root: Union[Node, None] = root def __iter__(self): """In-order traversal of the tree.""" if self.empty(): return for node in self.root: yield node.key def __getitem__(self, item: int) -> int: """Get key by index.""" return self.root[item].key def empty(self) -> bool: """Check if the tree is empty.""" return True if self.root is None else False @property def size(self) -> int: """Return the number of nodes in the tree.""" return self.root.size if not self.empty() else 0 @property def sum(self) -> int: """Return sum of all keys of the tree.""" return self.root.sum @property def height(self) -> int: """Return the height of the tree.""" return self.root.height if not self.empty() else 0 def clear(self): """Clear the tree.""" stack = [self.root] while stack: # removing all links in loop node = stack.pop() if node is None: continue node.parent = None if node.left is not None: stack.append(node.left) node.left = None if node.right is not None: stack.append(node.right) node.right = None self.root = None def find(self, key: int) -> bool: """Return True if element with such key exists in the tree, otherwise False.""" if self.empty(): return False return self.root.find(key) is not None def insert(self, key: int) -> bool: """Insert key (create new element) in the tree and return True on success or False on failure.""" if self.empty(): # empty tree, so value becomes the root self.root = Node(key) return True current = self.root # start at the root while current.key != key: if key < current.key: if current.left is None: # if no left child exists, insert element as left child self.root = current.add_left(key=key) return True else: # if a left child does exist, traverse left current = current.left elif key > current.key: if current.right is None: # if no right child exists, insert element as right child self.root = current.add_right(key=key) return True else: # if a right child does exist, traverse right current = current.right return False # failure to insert def remove(self, key: int) -> bool: """Remove element with such key if it exists in the tree (return True), or return False otherwise.""" current = self.root.find(key) if not self.empty() else None if current is None: # if no such key, failure return False self.root = current.remove() # update root return True def segment_sum(self, left, right): """Compute sum of all tree keys in segment [left, right].""" if self.empty(): return 0 less, _ = self.root.split_sums(left) _, greater = self.root.split_sums(right) return self.sum - less - greater def f(x: int, s: int): return (x + s) % 1000000001 if __name__ == '__main__': n = int(sys.stdin.readline().strip()) tree = AVLTree() ls = 0 # last sum for _ in range(n): op, *args = sys.stdin.readline().strip().split(" ") if op == "+": arg = f(int(args[0]), ls) tree.insert(arg) elif op == "-": arg = f(int(args[0]), ls) tree.remove(arg) elif op == "?": arg = f(int(args[0]), ls) print("Found" if tree.find(arg) else "Not found") else: args = map(lambda x: f(int(x), ls), args) ls = tree.segment_sum(*args) print(ls) @given(st.lists( st.integers(min_value=-10000, max_value=10000), max_size=10000, unique=True)) @settings(max_examples=250) def test_bst_properties(seq): test_tree = AVLTree() for x in seq: test_tree.insert(x) assert list(test_tree) == sorted(seq) assert test_tree.size == len(seq) assert test_tree.height <= 1.44 * log2(1 + len(seq)) if len(seq) >= 10: assert test_tree.find(seq[5]) assert test_tree.find(seq[3]) assert test_tree.find(25) == (25 in seq) assert test_tree.remove(seq.pop()) assert list(test_tree) == sorted(seq) assert test_tree.remove(seq.pop()) assert list(test_tree) == sorted(seq) assert test_tree.size == len(seq) assert test_tree.find(seq[5]) assert test_tree.remove(seq.pop(len(seq) // 2)) assert list(test_tree) == sorted(seq) assert test_tree[2] == sorted(seq)[1] assert test_tree[test_tree.size] == sorted(seq)[len(seq)-1] def test_operations(): test_tree = AVLTree() # round one s = 0 assert not test_tree.find(f(1, s)) # find 1 assert test_tree.insert(f(1, s)) # add 1 assert test_tree.find(f(1, s)) # find 1 assert test_tree.insert(f(2, s)) # add 2 s = test_tree.segment_sum(f(1, s), f(2, s)) # sum(1, 2) assert s == 3 assert not test_tree.insert(f(1000000000, s)) # add 2 assert test_tree.find(f(1000000000, s)) # find 2 assert test_tree.remove(f(1000000000, s)) # remove 2 assert not test_tree.remove(f(1000000000, s)) # find 2 s = test_tree.segment_sum(f(999999999, s), f(1000000000, s)) # sum(1, 2) assert s == 1 assert not test_tree.remove(f(2, s)) # remove 3 assert not test_tree.find(f(2, s)) # find 3 assert test_tree.remove(f(0, s)) # remove 1 assert test_tree.insert(f(9, s)) # add 10 s = test_tree.segment_sum(f(0, s), f(9, s)) # sum(1, 10) assert s == 10 test_tree.clear() # round two s = 0 assert not test_tree.find(f(0, s)) assert test_tree.insert(f(0, s)) assert test_tree.find(f(0, s)) assert test_tree.remove(f(0, s)) assert not test_tree.find(f(0, s)) test_tree.clear() # round three s = 0 assert test_tree.insert(f(491572259, s)) assert test_tree.find(f(491572259, s)) assert not test_tree.find(f(899375874, s)) s = test_tree.segment_sum(f(310971296, s), f(877523306, s)) assert s == 491572259 assert test_tree.insert(f(352411209, s))
[ "import sys\nfrom math import log2\nfrom typing import Union, Tuple\n\nimport hypothesis.strategies as st\nfrom hypothesis import given, settings\n\n\nclass Node:\n \"\"\"Node class for AVL tree. Implements many useful methods.\"\"\"\n\n def __init__(self, key: int):\n # the node determines its subtree also\n self.key: int = key\n self.sum: int = self.key # sum of keys in subtree\n self.height: int = 1 # height of subtree\n self.size: int = 1 # size of subtree\n self.balance_factor: int = 0\n self.parent: Union[Node, None] = None\n self.left: Union[Node, None] = None\n self.right: Union[Node, None] = None\n\n def __repr__(self):\n return f\"Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, \" \\\n f\"size={self.size}, sum={self.sum})\"\n\n def __iter__(self):\n \"\"\"In-order traversal of subtree.\"\"\"\n if self.left is not None:\n yield from self.left\n yield self\n if self.right is not None:\n yield from self.right\n\n def __getitem__(self, item: int, base: int = 1) -> \"Node\":\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f\"Index out of range: {item - base ^ 1}\")\n\n def __erase_links(self):\n self.parent = None\n self.left = None\n self.right = None\n\n def __update_height(self):\n left_height = self.left.height if self.left is not None else 0\n right_height = self.right.height if self.right is not None else 0\n self.height = 1 + max(left_height, right_height)\n self.balance_factor = right_height - left_height\n\n def __update_sum(self):\n left_sum = self.left.sum if self.left is not None else 0\n right_sum = self.right.sum if self.right is not None else 0\n self.sum = self.key + left_sum + right_sum\n\n def __update_size(self):\n left_size = self.left.size if self.left is not None else 0\n right_size = self.right.size if self.right is not None else 0\n self.size = 1 + left_size + right_size\n\n def __update_all(self):\n self.__update_height()\n self.__update_size()\n self.__update_sum()\n\n def __rotate_left(self) -> \"Node\":\n \"\"\"Perform a left AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.right\n # add left subtree of lower to upper (self) as right child and update links\n self.right = lower.left\n if self.right is not None:\n self.right.parent = self\n self.__update_all()\n # update lower and upper links\n parent = self.parent\n lower.left = self\n self.parent = lower\n lower.__update_all()\n # update parent links\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower # new root of subtree\n\n def __rotate_right(self) -> \"Node\":\n \"\"\"Perform a right AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.left\n # add right subtree of lower to upper (self) as left child and update links\n self.left = lower.right\n if self.left is not None:\n self.left.parent = self\n self.__update_all()\n # update lower and upper links\n parent = self.parent\n lower.right = self\n self.parent = lower\n lower.__update_all()\n # update parent links\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower # new root of subtree\n\n def __balance(self) -> \"Node\":\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n\n while True:\n current.__update_height()\n\n if current.balance_factor == 2: # right subtree is higher\n middle = current.right\n if middle.balance_factor < 0: # left subtree of middle node is higher\n middle.__rotate_right()\n current = current.__rotate_left()\n\n elif current.balance_factor == -2: # left subtree is higher\n middle = current.left\n if middle.balance_factor > 0: # right subtree of middle node is higher\n middle.__rotate_left()\n current = current.__rotate_right()\n\n else:\n current.__update_size()\n current.__update_sum()\n\n if current.parent is None:\n return current # return root\n\n current = current.parent # go up if not root\n\n def add_left(self, key: int) -> \"Node\":\n \"\"\"Add left child, return new root. Raises an exception when such child exists.\"\"\"\n if self.left is None:\n if key >= self.key:\n raise ValueError(\"Key isn't less than parent's key\")\n self.left = Node(key=key)\n self.left.parent = self\n else:\n raise ValueError(\"Left child exists\")\n return self.__balance()\n\n def add_right(self, key: int) -> \"Node\":\n \"\"\"Add right child, return new root. Raises an exception when such child exists.\"\"\"\n if self.right is None:\n if key <= self.key:\n raise ValueError(\"Key isn't bigger than parent's key\")\n self.right = Node(key=key)\n self.right.parent = self\n else:\n raise ValueError(\"Right child exists\")\n return self.__balance()\n\n def min(self) -> \"Node\":\n \"\"\"Return element with minimal key in this subtree.\"\"\"\n current = self\n while current.left is not None:\n current = current.left\n return current\n\n def max(self) -> \"Node\":\n \"\"\"Return element with maximal key in this subtree.\"\"\"\n current = self\n while current.right is not None:\n current = current.right\n return current\n\n def predecessor(self) -> Union[\"Node\", None]:\n \"\"\"Return element with previous key.\"\"\"\n if self.left is not None: # case 1: the node has a left child\n return self.left.max()\n\n else: # case 2: the node does not have a left child\n current = self\n while current.parent is not None: # traverse up\n if current == current.parent.right:\n return current.parent\n else:\n current = current.parent\n\n return None # the root is reached, so no predecessor exists\n\n def successor(self) -> Union[\"Node\", None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None: # case 1: the node has a right child\n return self.right.min()\n\n else: # case 2: the node does not have a right child\n current = self\n while current.parent is not None: # traverse up\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n\n return None # the root is reached, so no successor exists\n\n def find(self, key) -> Union[\"Node\", None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left # traverse left\n\n elif key > current.key:\n current = current.right # traverse right\n\n if current is None: # failure\n break\n return current\n\n def remove(self):\n \"\"\"Remove element from the tree, update links of adjacent nodes.\"\"\"\n parent = self.parent\n if self.left is None and self.right is None: # case 1: no children\n\n if parent is None:\n return None # remove root\n elif parent.left is self:\n parent.left = None # remove left leaf\n elif parent.right is self:\n parent.right = None # remove right leaf\n\n elif self.left is not None and self.right is None: # case 2: left child\n left = self.left\n left.parent = parent\n self.left = None\n\n if parent is None:\n return left # left is new root\n elif parent.left is self:\n parent.left = left # update left leaf\n elif parent.right is self:\n parent.right = left # update right leaf\n\n elif self.left is None and self.right is not None: # case 3: right child\n right = self.right\n right.parent = parent\n self.right = None\n\n if parent is None:\n return right # right is new root\n elif parent.left is self:\n parent.left = right # update left leaf\n elif parent.right is self:\n parent.right = right # update right leaf\n\n else: # case 4: both child\n successor = self.successor()\n self.key = successor.key # exchange keys\n return successor.remove() # remove successor leaf\n\n self.parent = None # remove last link from the node\n return parent.__balance()\n\n def split_sums(self, key: int) -> Tuple[int, int]:\n \"\"\"Compute sum of all keys less than this one,\n sum of all keys greater than this one and then return them.\"\"\"\n current = self\n less, greater = 0, 0\n while key != current.key:\n\n if key < current.key:\n # add all greater keys\n greater += current.right.sum if current.right is not None else 0\n greater += current.key\n\n current = current.left # traverse left\n\n elif key > current.key:\n # add all smaller keys\n less += current.left.sum if current.left is not None else 0\n less += current.key\n\n current = current.right # traverse right\n\n if current is None: # key not found\n break\n\n if current is not None: # add from children\n less += current.left.sum if current.left is not None else 0\n greater += current.right.sum if current.right is not None else 0\n\n return less, greater\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) -> int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) -> bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) -> int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) -> int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) -> int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n\n while stack: # removing all links in loop\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n\n self.root = None\n\n def find(self, key: int) -> bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) -> bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty(): # empty tree, so value becomes the root\n self.root = Node(key)\n return True\n\n current = self.root # start at the root\n while current.key != key:\n\n if key < current.key:\n\n if current.left is None: # if no left child exists, insert element as left child\n self.root = current.add_left(key=key)\n return True\n\n else: # if a left child does exist, traverse left\n current = current.left\n\n elif key > current.key:\n\n if current.right is None: # if no right child exists, insert element as right child\n self.root = current.add_right(key=key)\n return True\n\n else: # if a right child does exist, traverse right\n current = current.right\n\n return False # failure to insert\n\n def remove(self, key: int) -> bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None: # if no such key, failure\n return False\n\n self.root = current.remove() # update root\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\ndef f(x: int, s: int):\n return (x + s) % 1000000001\n\n\nif __name__ == '__main__':\n n = int(sys.stdin.readline().strip())\n tree = AVLTree()\n ls = 0 # last sum\n for _ in range(n):\n op, *args = sys.stdin.readline().strip().split(\" \")\n if op == \"+\":\n arg = f(int(args[0]), ls)\n tree.insert(arg)\n elif op == \"-\":\n arg = f(int(args[0]), ls)\n tree.remove(arg)\n elif op == \"?\":\n arg = f(int(args[0]), ls)\n print(\"Found\" if tree.find(arg) else \"Not found\")\n else:\n args = map(lambda x: f(int(x), ls), args)\n ls = tree.segment_sum(*args)\n print(ls)\n\n\n@given(st.lists(\n st.integers(min_value=-10000, max_value=10000),\n max_size=10000, unique=True))\n@settings(max_examples=250)\ndef test_bst_properties(seq):\n test_tree = AVLTree()\n for x in seq:\n test_tree.insert(x)\n assert list(test_tree) == sorted(seq)\n assert test_tree.size == len(seq)\n assert test_tree.height <= 1.44 * log2(1 + len(seq))\n if len(seq) >= 10:\n assert test_tree.find(seq[5])\n assert test_tree.find(seq[3])\n assert test_tree.find(25) == (25 in seq)\n assert test_tree.remove(seq.pop())\n assert list(test_tree) == sorted(seq)\n assert test_tree.remove(seq.pop())\n assert list(test_tree) == sorted(seq)\n assert test_tree.size == len(seq)\n assert test_tree.find(seq[5])\n assert test_tree.remove(seq.pop(len(seq) // 2))\n assert list(test_tree) == sorted(seq)\n assert test_tree[2] == sorted(seq)[1]\n assert test_tree[test_tree.size] == sorted(seq)[len(seq)-1]\n\n\ndef test_operations():\n test_tree = AVLTree()\n # round one\n s = 0\n assert not test_tree.find(f(1, s)) # find 1\n assert test_tree.insert(f(1, s)) # add 1\n assert test_tree.find(f(1, s)) # find 1\n assert test_tree.insert(f(2, s)) # add 2\n s = test_tree.segment_sum(f(1, s), f(2, s)) # sum(1, 2)\n assert s == 3\n assert not test_tree.insert(f(1000000000, s)) # add 2\n assert test_tree.find(f(1000000000, s)) # find 2\n assert test_tree.remove(f(1000000000, s)) # remove 2\n assert not test_tree.remove(f(1000000000, s)) # find 2\n s = test_tree.segment_sum(f(999999999, s), f(1000000000, s)) # sum(1, 2)\n assert s == 1\n assert not test_tree.remove(f(2, s)) # remove 3\n assert not test_tree.find(f(2, s)) # find 3\n assert test_tree.remove(f(0, s)) # remove 1\n assert test_tree.insert(f(9, s)) # add 10\n s = test_tree.segment_sum(f(0, s), f(9, s)) # sum(1, 10)\n assert s == 10\n test_tree.clear()\n # round two\n s = 0\n assert not test_tree.find(f(0, s))\n assert test_tree.insert(f(0, s))\n assert test_tree.find(f(0, s))\n assert test_tree.remove(f(0, s))\n assert not test_tree.find(f(0, s))\n test_tree.clear()\n # round three\n s = 0\n assert test_tree.insert(f(491572259, s))\n assert test_tree.find(f(491572259, s))\n assert not test_tree.find(f(899375874, s))\n s = test_tree.segment_sum(f(310971296, s), f(877523306, s))\n assert s == 491572259\n assert test_tree.insert(f(352411209, s))\n", "import sys\nfrom math import log2\nfrom typing import Union, Tuple\nimport hypothesis.strategies as st\nfrom hypothesis import given, settings\n\n\nclass Node:\n \"\"\"Node class for AVL tree. Implements many useful methods.\"\"\"\n\n def __init__(self, key: int):\n self.key: int = key\n self.sum: int = self.key\n self.height: int = 1\n self.size: int = 1\n self.balance_factor: int = 0\n self.parent: Union[Node, None] = None\n self.left: Union[Node, None] = None\n self.right: Union[Node, None] = None\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n\n def __iter__(self):\n \"\"\"In-order traversal of subtree.\"\"\"\n if self.left is not None:\n yield from self.left\n yield self\n if self.right is not None:\n yield from self.right\n\n def __getitem__(self, item: int, base: int=1) ->'Node':\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f'Index out of range: {item - base ^ 1}')\n\n def __erase_links(self):\n self.parent = None\n self.left = None\n self.right = None\n\n def __update_height(self):\n left_height = self.left.height if self.left is not None else 0\n right_height = self.right.height if self.right is not None else 0\n self.height = 1 + max(left_height, right_height)\n self.balance_factor = right_height - left_height\n\n def __update_sum(self):\n left_sum = self.left.sum if self.left is not None else 0\n right_sum = self.right.sum if self.right is not None else 0\n self.sum = self.key + left_sum + right_sum\n\n def __update_size(self):\n left_size = self.left.size if self.left is not None else 0\n right_size = self.right.size if self.right is not None else 0\n self.size = 1 + left_size + right_size\n\n def __update_all(self):\n self.__update_height()\n self.__update_size()\n self.__update_sum()\n\n def __rotate_left(self) ->'Node':\n \"\"\"Perform a left AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.right\n self.right = lower.left\n if self.right is not None:\n self.right.parent = self\n self.__update_all()\n parent = self.parent\n lower.left = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __rotate_right(self) ->'Node':\n \"\"\"Perform a right AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.left\n self.left = lower.right\n if self.left is not None:\n self.left.parent = self\n self.__update_all()\n parent = self.parent\n lower.right = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n\n def add_left(self, key: int) ->'Node':\n \"\"\"Add left child, return new root. Raises an exception when such child exists.\"\"\"\n if self.left is None:\n if key >= self.key:\n raise ValueError(\"Key isn't less than parent's key\")\n self.left = Node(key=key)\n self.left.parent = self\n else:\n raise ValueError('Left child exists')\n return self.__balance()\n\n def add_right(self, key: int) ->'Node':\n \"\"\"Add right child, return new root. Raises an exception when such child exists.\"\"\"\n if self.right is None:\n if key <= self.key:\n raise ValueError(\"Key isn't bigger than parent's key\")\n self.right = Node(key=key)\n self.right.parent = self\n else:\n raise ValueError('Right child exists')\n return self.__balance()\n\n def min(self) ->'Node':\n \"\"\"Return element with minimal key in this subtree.\"\"\"\n current = self\n while current.left is not None:\n current = current.left\n return current\n\n def max(self) ->'Node':\n \"\"\"Return element with maximal key in this subtree.\"\"\"\n current = self\n while current.right is not None:\n current = current.right\n return current\n\n def predecessor(self) ->Union['Node', None]:\n \"\"\"Return element with previous key.\"\"\"\n if self.left is not None:\n return self.left.max()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.right:\n return current.parent\n else:\n current = current.parent\n return None\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n\n def remove(self):\n \"\"\"Remove element from the tree, update links of adjacent nodes.\"\"\"\n parent = self.parent\n if self.left is None and self.right is None:\n if parent is None:\n return None\n elif parent.left is self:\n parent.left = None\n elif parent.right is self:\n parent.right = None\n elif self.left is not None and self.right is None:\n left = self.left\n left.parent = parent\n self.left = None\n if parent is None:\n return left\n elif parent.left is self:\n parent.left = left\n elif parent.right is self:\n parent.right = left\n elif self.left is None and self.right is not None:\n right = self.right\n right.parent = parent\n self.right = None\n if parent is None:\n return right\n elif parent.left is self:\n parent.left = right\n elif parent.right is self:\n parent.right = right\n else:\n successor = self.successor()\n self.key = successor.key\n return successor.remove()\n self.parent = None\n return parent.__balance()\n\n def split_sums(self, key: int) ->Tuple[int, int]:\n \"\"\"Compute sum of all keys less than this one,\n sum of all keys greater than this one and then return them.\"\"\"\n current = self\n less, greater = 0, 0\n while key != current.key:\n if key < current.key:\n greater += (current.right.sum if current.right is not None else\n 0)\n greater += current.key\n current = current.left\n elif key > current.key:\n less += current.left.sum if current.left is not None else 0\n less += current.key\n current = current.right\n if current is None:\n break\n if current is not None:\n less += current.left.sum if current.left is not None else 0\n greater += current.right.sum if current.right is not None else 0\n return less, greater\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\ndef f(x: int, s: int):\n return (x + s) % 1000000001\n\n\nif __name__ == '__main__':\n n = int(sys.stdin.readline().strip())\n tree = AVLTree()\n ls = 0\n for _ in range(n):\n op, *args = sys.stdin.readline().strip().split(' ')\n if op == '+':\n arg = f(int(args[0]), ls)\n tree.insert(arg)\n elif op == '-':\n arg = f(int(args[0]), ls)\n tree.remove(arg)\n elif op == '?':\n arg = f(int(args[0]), ls)\n print('Found' if tree.find(arg) else 'Not found')\n else:\n args = map(lambda x: f(int(x), ls), args)\n ls = tree.segment_sum(*args)\n print(ls)\n\n\n@given(st.lists(st.integers(min_value=-10000, max_value=10000), max_size=\n 10000, unique=True))\n@settings(max_examples=250)\ndef test_bst_properties(seq):\n test_tree = AVLTree()\n for x in seq:\n test_tree.insert(x)\n assert list(test_tree) == sorted(seq)\n assert test_tree.size == len(seq)\n assert test_tree.height <= 1.44 * log2(1 + len(seq))\n if len(seq) >= 10:\n assert test_tree.find(seq[5])\n assert test_tree.find(seq[3])\n assert test_tree.find(25) == (25 in seq)\n assert test_tree.remove(seq.pop())\n assert list(test_tree) == sorted(seq)\n assert test_tree.remove(seq.pop())\n assert list(test_tree) == sorted(seq)\n assert test_tree.size == len(seq)\n assert test_tree.find(seq[5])\n assert test_tree.remove(seq.pop(len(seq) // 2))\n assert list(test_tree) == sorted(seq)\n assert test_tree[2] == sorted(seq)[1]\n assert test_tree[test_tree.size] == sorted(seq)[len(seq) - 1]\n\n\ndef test_operations():\n test_tree = AVLTree()\n s = 0\n assert not test_tree.find(f(1, s))\n assert test_tree.insert(f(1, s))\n assert test_tree.find(f(1, s))\n assert test_tree.insert(f(2, s))\n s = test_tree.segment_sum(f(1, s), f(2, s))\n assert s == 3\n assert not test_tree.insert(f(1000000000, s))\n assert test_tree.find(f(1000000000, s))\n assert test_tree.remove(f(1000000000, s))\n assert not test_tree.remove(f(1000000000, s))\n s = test_tree.segment_sum(f(999999999, s), f(1000000000, s))\n assert s == 1\n assert not test_tree.remove(f(2, s))\n assert not test_tree.find(f(2, s))\n assert test_tree.remove(f(0, s))\n assert test_tree.insert(f(9, s))\n s = test_tree.segment_sum(f(0, s), f(9, s))\n assert s == 10\n test_tree.clear()\n s = 0\n assert not test_tree.find(f(0, s))\n assert test_tree.insert(f(0, s))\n assert test_tree.find(f(0, s))\n assert test_tree.remove(f(0, s))\n assert not test_tree.find(f(0, s))\n test_tree.clear()\n s = 0\n assert test_tree.insert(f(491572259, s))\n assert test_tree.find(f(491572259, s))\n assert not test_tree.find(f(899375874, s))\n s = test_tree.segment_sum(f(310971296, s), f(877523306, s))\n assert s == 491572259\n assert test_tree.insert(f(352411209, s))\n", "<import token>\n\n\nclass Node:\n \"\"\"Node class for AVL tree. Implements many useful methods.\"\"\"\n\n def __init__(self, key: int):\n self.key: int = key\n self.sum: int = self.key\n self.height: int = 1\n self.size: int = 1\n self.balance_factor: int = 0\n self.parent: Union[Node, None] = None\n self.left: Union[Node, None] = None\n self.right: Union[Node, None] = None\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n\n def __iter__(self):\n \"\"\"In-order traversal of subtree.\"\"\"\n if self.left is not None:\n yield from self.left\n yield self\n if self.right is not None:\n yield from self.right\n\n def __getitem__(self, item: int, base: int=1) ->'Node':\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f'Index out of range: {item - base ^ 1}')\n\n def __erase_links(self):\n self.parent = None\n self.left = None\n self.right = None\n\n def __update_height(self):\n left_height = self.left.height if self.left is not None else 0\n right_height = self.right.height if self.right is not None else 0\n self.height = 1 + max(left_height, right_height)\n self.balance_factor = right_height - left_height\n\n def __update_sum(self):\n left_sum = self.left.sum if self.left is not None else 0\n right_sum = self.right.sum if self.right is not None else 0\n self.sum = self.key + left_sum + right_sum\n\n def __update_size(self):\n left_size = self.left.size if self.left is not None else 0\n right_size = self.right.size if self.right is not None else 0\n self.size = 1 + left_size + right_size\n\n def __update_all(self):\n self.__update_height()\n self.__update_size()\n self.__update_sum()\n\n def __rotate_left(self) ->'Node':\n \"\"\"Perform a left AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.right\n self.right = lower.left\n if self.right is not None:\n self.right.parent = self\n self.__update_all()\n parent = self.parent\n lower.left = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __rotate_right(self) ->'Node':\n \"\"\"Perform a right AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.left\n self.left = lower.right\n if self.left is not None:\n self.left.parent = self\n self.__update_all()\n parent = self.parent\n lower.right = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n\n def add_left(self, key: int) ->'Node':\n \"\"\"Add left child, return new root. Raises an exception when such child exists.\"\"\"\n if self.left is None:\n if key >= self.key:\n raise ValueError(\"Key isn't less than parent's key\")\n self.left = Node(key=key)\n self.left.parent = self\n else:\n raise ValueError('Left child exists')\n return self.__balance()\n\n def add_right(self, key: int) ->'Node':\n \"\"\"Add right child, return new root. Raises an exception when such child exists.\"\"\"\n if self.right is None:\n if key <= self.key:\n raise ValueError(\"Key isn't bigger than parent's key\")\n self.right = Node(key=key)\n self.right.parent = self\n else:\n raise ValueError('Right child exists')\n return self.__balance()\n\n def min(self) ->'Node':\n \"\"\"Return element with minimal key in this subtree.\"\"\"\n current = self\n while current.left is not None:\n current = current.left\n return current\n\n def max(self) ->'Node':\n \"\"\"Return element with maximal key in this subtree.\"\"\"\n current = self\n while current.right is not None:\n current = current.right\n return current\n\n def predecessor(self) ->Union['Node', None]:\n \"\"\"Return element with previous key.\"\"\"\n if self.left is not None:\n return self.left.max()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.right:\n return current.parent\n else:\n current = current.parent\n return None\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n\n def remove(self):\n \"\"\"Remove element from the tree, update links of adjacent nodes.\"\"\"\n parent = self.parent\n if self.left is None and self.right is None:\n if parent is None:\n return None\n elif parent.left is self:\n parent.left = None\n elif parent.right is self:\n parent.right = None\n elif self.left is not None and self.right is None:\n left = self.left\n left.parent = parent\n self.left = None\n if parent is None:\n return left\n elif parent.left is self:\n parent.left = left\n elif parent.right is self:\n parent.right = left\n elif self.left is None and self.right is not None:\n right = self.right\n right.parent = parent\n self.right = None\n if parent is None:\n return right\n elif parent.left is self:\n parent.left = right\n elif parent.right is self:\n parent.right = right\n else:\n successor = self.successor()\n self.key = successor.key\n return successor.remove()\n self.parent = None\n return parent.__balance()\n\n def split_sums(self, key: int) ->Tuple[int, int]:\n \"\"\"Compute sum of all keys less than this one,\n sum of all keys greater than this one and then return them.\"\"\"\n current = self\n less, greater = 0, 0\n while key != current.key:\n if key < current.key:\n greater += (current.right.sum if current.right is not None else\n 0)\n greater += current.key\n current = current.left\n elif key > current.key:\n less += current.left.sum if current.left is not None else 0\n less += current.key\n current = current.right\n if current is None:\n break\n if current is not None:\n less += current.left.sum if current.left is not None else 0\n greater += current.right.sum if current.right is not None else 0\n return less, greater\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\ndef f(x: int, s: int):\n return (x + s) % 1000000001\n\n\nif __name__ == '__main__':\n n = int(sys.stdin.readline().strip())\n tree = AVLTree()\n ls = 0\n for _ in range(n):\n op, *args = sys.stdin.readline().strip().split(' ')\n if op == '+':\n arg = f(int(args[0]), ls)\n tree.insert(arg)\n elif op == '-':\n arg = f(int(args[0]), ls)\n tree.remove(arg)\n elif op == '?':\n arg = f(int(args[0]), ls)\n print('Found' if tree.find(arg) else 'Not found')\n else:\n args = map(lambda x: f(int(x), ls), args)\n ls = tree.segment_sum(*args)\n print(ls)\n\n\n@given(st.lists(st.integers(min_value=-10000, max_value=10000), max_size=\n 10000, unique=True))\n@settings(max_examples=250)\ndef test_bst_properties(seq):\n test_tree = AVLTree()\n for x in seq:\n test_tree.insert(x)\n assert list(test_tree) == sorted(seq)\n assert test_tree.size == len(seq)\n assert test_tree.height <= 1.44 * log2(1 + len(seq))\n if len(seq) >= 10:\n assert test_tree.find(seq[5])\n assert test_tree.find(seq[3])\n assert test_tree.find(25) == (25 in seq)\n assert test_tree.remove(seq.pop())\n assert list(test_tree) == sorted(seq)\n assert test_tree.remove(seq.pop())\n assert list(test_tree) == sorted(seq)\n assert test_tree.size == len(seq)\n assert test_tree.find(seq[5])\n assert test_tree.remove(seq.pop(len(seq) // 2))\n assert list(test_tree) == sorted(seq)\n assert test_tree[2] == sorted(seq)[1]\n assert test_tree[test_tree.size] == sorted(seq)[len(seq) - 1]\n\n\ndef test_operations():\n test_tree = AVLTree()\n s = 0\n assert not test_tree.find(f(1, s))\n assert test_tree.insert(f(1, s))\n assert test_tree.find(f(1, s))\n assert test_tree.insert(f(2, s))\n s = test_tree.segment_sum(f(1, s), f(2, s))\n assert s == 3\n assert not test_tree.insert(f(1000000000, s))\n assert test_tree.find(f(1000000000, s))\n assert test_tree.remove(f(1000000000, s))\n assert not test_tree.remove(f(1000000000, s))\n s = test_tree.segment_sum(f(999999999, s), f(1000000000, s))\n assert s == 1\n assert not test_tree.remove(f(2, s))\n assert not test_tree.find(f(2, s))\n assert test_tree.remove(f(0, s))\n assert test_tree.insert(f(9, s))\n s = test_tree.segment_sum(f(0, s), f(9, s))\n assert s == 10\n test_tree.clear()\n s = 0\n assert not test_tree.find(f(0, s))\n assert test_tree.insert(f(0, s))\n assert test_tree.find(f(0, s))\n assert test_tree.remove(f(0, s))\n assert not test_tree.find(f(0, s))\n test_tree.clear()\n s = 0\n assert test_tree.insert(f(491572259, s))\n assert test_tree.find(f(491572259, s))\n assert not test_tree.find(f(899375874, s))\n s = test_tree.segment_sum(f(310971296, s), f(877523306, s))\n assert s == 491572259\n assert test_tree.insert(f(352411209, s))\n", "<import token>\n\n\nclass Node:\n \"\"\"Node class for AVL tree. Implements many useful methods.\"\"\"\n\n def __init__(self, key: int):\n self.key: int = key\n self.sum: int = self.key\n self.height: int = 1\n self.size: int = 1\n self.balance_factor: int = 0\n self.parent: Union[Node, None] = None\n self.left: Union[Node, None] = None\n self.right: Union[Node, None] = None\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n\n def __iter__(self):\n \"\"\"In-order traversal of subtree.\"\"\"\n if self.left is not None:\n yield from self.left\n yield self\n if self.right is not None:\n yield from self.right\n\n def __getitem__(self, item: int, base: int=1) ->'Node':\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f'Index out of range: {item - base ^ 1}')\n\n def __erase_links(self):\n self.parent = None\n self.left = None\n self.right = None\n\n def __update_height(self):\n left_height = self.left.height if self.left is not None else 0\n right_height = self.right.height if self.right is not None else 0\n self.height = 1 + max(left_height, right_height)\n self.balance_factor = right_height - left_height\n\n def __update_sum(self):\n left_sum = self.left.sum if self.left is not None else 0\n right_sum = self.right.sum if self.right is not None else 0\n self.sum = self.key + left_sum + right_sum\n\n def __update_size(self):\n left_size = self.left.size if self.left is not None else 0\n right_size = self.right.size if self.right is not None else 0\n self.size = 1 + left_size + right_size\n\n def __update_all(self):\n self.__update_height()\n self.__update_size()\n self.__update_sum()\n\n def __rotate_left(self) ->'Node':\n \"\"\"Perform a left AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.right\n self.right = lower.left\n if self.right is not None:\n self.right.parent = self\n self.__update_all()\n parent = self.parent\n lower.left = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __rotate_right(self) ->'Node':\n \"\"\"Perform a right AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.left\n self.left = lower.right\n if self.left is not None:\n self.left.parent = self\n self.__update_all()\n parent = self.parent\n lower.right = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n\n def add_left(self, key: int) ->'Node':\n \"\"\"Add left child, return new root. Raises an exception when such child exists.\"\"\"\n if self.left is None:\n if key >= self.key:\n raise ValueError(\"Key isn't less than parent's key\")\n self.left = Node(key=key)\n self.left.parent = self\n else:\n raise ValueError('Left child exists')\n return self.__balance()\n\n def add_right(self, key: int) ->'Node':\n \"\"\"Add right child, return new root. Raises an exception when such child exists.\"\"\"\n if self.right is None:\n if key <= self.key:\n raise ValueError(\"Key isn't bigger than parent's key\")\n self.right = Node(key=key)\n self.right.parent = self\n else:\n raise ValueError('Right child exists')\n return self.__balance()\n\n def min(self) ->'Node':\n \"\"\"Return element with minimal key in this subtree.\"\"\"\n current = self\n while current.left is not None:\n current = current.left\n return current\n\n def max(self) ->'Node':\n \"\"\"Return element with maximal key in this subtree.\"\"\"\n current = self\n while current.right is not None:\n current = current.right\n return current\n\n def predecessor(self) ->Union['Node', None]:\n \"\"\"Return element with previous key.\"\"\"\n if self.left is not None:\n return self.left.max()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.right:\n return current.parent\n else:\n current = current.parent\n return None\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n\n def remove(self):\n \"\"\"Remove element from the tree, update links of adjacent nodes.\"\"\"\n parent = self.parent\n if self.left is None and self.right is None:\n if parent is None:\n return None\n elif parent.left is self:\n parent.left = None\n elif parent.right is self:\n parent.right = None\n elif self.left is not None and self.right is None:\n left = self.left\n left.parent = parent\n self.left = None\n if parent is None:\n return left\n elif parent.left is self:\n parent.left = left\n elif parent.right is self:\n parent.right = left\n elif self.left is None and self.right is not None:\n right = self.right\n right.parent = parent\n self.right = None\n if parent is None:\n return right\n elif parent.left is self:\n parent.left = right\n elif parent.right is self:\n parent.right = right\n else:\n successor = self.successor()\n self.key = successor.key\n return successor.remove()\n self.parent = None\n return parent.__balance()\n\n def split_sums(self, key: int) ->Tuple[int, int]:\n \"\"\"Compute sum of all keys less than this one,\n sum of all keys greater than this one and then return them.\"\"\"\n current = self\n less, greater = 0, 0\n while key != current.key:\n if key < current.key:\n greater += (current.right.sum if current.right is not None else\n 0)\n greater += current.key\n current = current.left\n elif key > current.key:\n less += current.left.sum if current.left is not None else 0\n less += current.key\n current = current.right\n if current is None:\n break\n if current is not None:\n less += current.left.sum if current.left is not None else 0\n greater += current.right.sum if current.right is not None else 0\n return less, greater\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\ndef f(x: int, s: int):\n return (x + s) % 1000000001\n\n\n<code token>\n\n\n@given(st.lists(st.integers(min_value=-10000, max_value=10000), max_size=\n 10000, unique=True))\n@settings(max_examples=250)\ndef test_bst_properties(seq):\n test_tree = AVLTree()\n for x in seq:\n test_tree.insert(x)\n assert list(test_tree) == sorted(seq)\n assert test_tree.size == len(seq)\n assert test_tree.height <= 1.44 * log2(1 + len(seq))\n if len(seq) >= 10:\n assert test_tree.find(seq[5])\n assert test_tree.find(seq[3])\n assert test_tree.find(25) == (25 in seq)\n assert test_tree.remove(seq.pop())\n assert list(test_tree) == sorted(seq)\n assert test_tree.remove(seq.pop())\n assert list(test_tree) == sorted(seq)\n assert test_tree.size == len(seq)\n assert test_tree.find(seq[5])\n assert test_tree.remove(seq.pop(len(seq) // 2))\n assert list(test_tree) == sorted(seq)\n assert test_tree[2] == sorted(seq)[1]\n assert test_tree[test_tree.size] == sorted(seq)[len(seq) - 1]\n\n\ndef test_operations():\n test_tree = AVLTree()\n s = 0\n assert not test_tree.find(f(1, s))\n assert test_tree.insert(f(1, s))\n assert test_tree.find(f(1, s))\n assert test_tree.insert(f(2, s))\n s = test_tree.segment_sum(f(1, s), f(2, s))\n assert s == 3\n assert not test_tree.insert(f(1000000000, s))\n assert test_tree.find(f(1000000000, s))\n assert test_tree.remove(f(1000000000, s))\n assert not test_tree.remove(f(1000000000, s))\n s = test_tree.segment_sum(f(999999999, s), f(1000000000, s))\n assert s == 1\n assert not test_tree.remove(f(2, s))\n assert not test_tree.find(f(2, s))\n assert test_tree.remove(f(0, s))\n assert test_tree.insert(f(9, s))\n s = test_tree.segment_sum(f(0, s), f(9, s))\n assert s == 10\n test_tree.clear()\n s = 0\n assert not test_tree.find(f(0, s))\n assert test_tree.insert(f(0, s))\n assert test_tree.find(f(0, s))\n assert test_tree.remove(f(0, s))\n assert not test_tree.find(f(0, s))\n test_tree.clear()\n s = 0\n assert test_tree.insert(f(491572259, s))\n assert test_tree.find(f(491572259, s))\n assert not test_tree.find(f(899375874, s))\n s = test_tree.segment_sum(f(310971296, s), f(877523306, s))\n assert s == 491572259\n assert test_tree.insert(f(352411209, s))\n", "<import token>\n\n\nclass Node:\n \"\"\"Node class for AVL tree. Implements many useful methods.\"\"\"\n\n def __init__(self, key: int):\n self.key: int = key\n self.sum: int = self.key\n self.height: int = 1\n self.size: int = 1\n self.balance_factor: int = 0\n self.parent: Union[Node, None] = None\n self.left: Union[Node, None] = None\n self.right: Union[Node, None] = None\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n\n def __iter__(self):\n \"\"\"In-order traversal of subtree.\"\"\"\n if self.left is not None:\n yield from self.left\n yield self\n if self.right is not None:\n yield from self.right\n\n def __getitem__(self, item: int, base: int=1) ->'Node':\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f'Index out of range: {item - base ^ 1}')\n\n def __erase_links(self):\n self.parent = None\n self.left = None\n self.right = None\n\n def __update_height(self):\n left_height = self.left.height if self.left is not None else 0\n right_height = self.right.height if self.right is not None else 0\n self.height = 1 + max(left_height, right_height)\n self.balance_factor = right_height - left_height\n\n def __update_sum(self):\n left_sum = self.left.sum if self.left is not None else 0\n right_sum = self.right.sum if self.right is not None else 0\n self.sum = self.key + left_sum + right_sum\n\n def __update_size(self):\n left_size = self.left.size if self.left is not None else 0\n right_size = self.right.size if self.right is not None else 0\n self.size = 1 + left_size + right_size\n\n def __update_all(self):\n self.__update_height()\n self.__update_size()\n self.__update_sum()\n\n def __rotate_left(self) ->'Node':\n \"\"\"Perform a left AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.right\n self.right = lower.left\n if self.right is not None:\n self.right.parent = self\n self.__update_all()\n parent = self.parent\n lower.left = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __rotate_right(self) ->'Node':\n \"\"\"Perform a right AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.left\n self.left = lower.right\n if self.left is not None:\n self.left.parent = self\n self.__update_all()\n parent = self.parent\n lower.right = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n\n def add_left(self, key: int) ->'Node':\n \"\"\"Add left child, return new root. Raises an exception when such child exists.\"\"\"\n if self.left is None:\n if key >= self.key:\n raise ValueError(\"Key isn't less than parent's key\")\n self.left = Node(key=key)\n self.left.parent = self\n else:\n raise ValueError('Left child exists')\n return self.__balance()\n\n def add_right(self, key: int) ->'Node':\n \"\"\"Add right child, return new root. Raises an exception when such child exists.\"\"\"\n if self.right is None:\n if key <= self.key:\n raise ValueError(\"Key isn't bigger than parent's key\")\n self.right = Node(key=key)\n self.right.parent = self\n else:\n raise ValueError('Right child exists')\n return self.__balance()\n\n def min(self) ->'Node':\n \"\"\"Return element with minimal key in this subtree.\"\"\"\n current = self\n while current.left is not None:\n current = current.left\n return current\n\n def max(self) ->'Node':\n \"\"\"Return element with maximal key in this subtree.\"\"\"\n current = self\n while current.right is not None:\n current = current.right\n return current\n\n def predecessor(self) ->Union['Node', None]:\n \"\"\"Return element with previous key.\"\"\"\n if self.left is not None:\n return self.left.max()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.right:\n return current.parent\n else:\n current = current.parent\n return None\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n\n def remove(self):\n \"\"\"Remove element from the tree, update links of adjacent nodes.\"\"\"\n parent = self.parent\n if self.left is None and self.right is None:\n if parent is None:\n return None\n elif parent.left is self:\n parent.left = None\n elif parent.right is self:\n parent.right = None\n elif self.left is not None and self.right is None:\n left = self.left\n left.parent = parent\n self.left = None\n if parent is None:\n return left\n elif parent.left is self:\n parent.left = left\n elif parent.right is self:\n parent.right = left\n elif self.left is None and self.right is not None:\n right = self.right\n right.parent = parent\n self.right = None\n if parent is None:\n return right\n elif parent.left is self:\n parent.left = right\n elif parent.right is self:\n parent.right = right\n else:\n successor = self.successor()\n self.key = successor.key\n return successor.remove()\n self.parent = None\n return parent.__balance()\n\n def split_sums(self, key: int) ->Tuple[int, int]:\n \"\"\"Compute sum of all keys less than this one,\n sum of all keys greater than this one and then return them.\"\"\"\n current = self\n less, greater = 0, 0\n while key != current.key:\n if key < current.key:\n greater += (current.right.sum if current.right is not None else\n 0)\n greater += current.key\n current = current.left\n elif key > current.key:\n less += current.left.sum if current.left is not None else 0\n less += current.key\n current = current.right\n if current is None:\n break\n if current is not None:\n less += current.left.sum if current.left is not None else 0\n greater += current.right.sum if current.right is not None else 0\n return less, greater\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\ndef f(x: int, s: int):\n return (x + s) % 1000000001\n\n\n<code token>\n<function token>\n\n\ndef test_operations():\n test_tree = AVLTree()\n s = 0\n assert not test_tree.find(f(1, s))\n assert test_tree.insert(f(1, s))\n assert test_tree.find(f(1, s))\n assert test_tree.insert(f(2, s))\n s = test_tree.segment_sum(f(1, s), f(2, s))\n assert s == 3\n assert not test_tree.insert(f(1000000000, s))\n assert test_tree.find(f(1000000000, s))\n assert test_tree.remove(f(1000000000, s))\n assert not test_tree.remove(f(1000000000, s))\n s = test_tree.segment_sum(f(999999999, s), f(1000000000, s))\n assert s == 1\n assert not test_tree.remove(f(2, s))\n assert not test_tree.find(f(2, s))\n assert test_tree.remove(f(0, s))\n assert test_tree.insert(f(9, s))\n s = test_tree.segment_sum(f(0, s), f(9, s))\n assert s == 10\n test_tree.clear()\n s = 0\n assert not test_tree.find(f(0, s))\n assert test_tree.insert(f(0, s))\n assert test_tree.find(f(0, s))\n assert test_tree.remove(f(0, s))\n assert not test_tree.find(f(0, s))\n test_tree.clear()\n s = 0\n assert test_tree.insert(f(491572259, s))\n assert test_tree.find(f(491572259, s))\n assert not test_tree.find(f(899375874, s))\n s = test_tree.segment_sum(f(310971296, s), f(877523306, s))\n assert s == 491572259\n assert test_tree.insert(f(352411209, s))\n", "<import token>\n\n\nclass Node:\n \"\"\"Node class for AVL tree. Implements many useful methods.\"\"\"\n\n def __init__(self, key: int):\n self.key: int = key\n self.sum: int = self.key\n self.height: int = 1\n self.size: int = 1\n self.balance_factor: int = 0\n self.parent: Union[Node, None] = None\n self.left: Union[Node, None] = None\n self.right: Union[Node, None] = None\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n\n def __iter__(self):\n \"\"\"In-order traversal of subtree.\"\"\"\n if self.left is not None:\n yield from self.left\n yield self\n if self.right is not None:\n yield from self.right\n\n def __getitem__(self, item: int, base: int=1) ->'Node':\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f'Index out of range: {item - base ^ 1}')\n\n def __erase_links(self):\n self.parent = None\n self.left = None\n self.right = None\n\n def __update_height(self):\n left_height = self.left.height if self.left is not None else 0\n right_height = self.right.height if self.right is not None else 0\n self.height = 1 + max(left_height, right_height)\n self.balance_factor = right_height - left_height\n\n def __update_sum(self):\n left_sum = self.left.sum if self.left is not None else 0\n right_sum = self.right.sum if self.right is not None else 0\n self.sum = self.key + left_sum + right_sum\n\n def __update_size(self):\n left_size = self.left.size if self.left is not None else 0\n right_size = self.right.size if self.right is not None else 0\n self.size = 1 + left_size + right_size\n\n def __update_all(self):\n self.__update_height()\n self.__update_size()\n self.__update_sum()\n\n def __rotate_left(self) ->'Node':\n \"\"\"Perform a left AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.right\n self.right = lower.left\n if self.right is not None:\n self.right.parent = self\n self.__update_all()\n parent = self.parent\n lower.left = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __rotate_right(self) ->'Node':\n \"\"\"Perform a right AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.left\n self.left = lower.right\n if self.left is not None:\n self.left.parent = self\n self.__update_all()\n parent = self.parent\n lower.right = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n\n def add_left(self, key: int) ->'Node':\n \"\"\"Add left child, return new root. Raises an exception when such child exists.\"\"\"\n if self.left is None:\n if key >= self.key:\n raise ValueError(\"Key isn't less than parent's key\")\n self.left = Node(key=key)\n self.left.parent = self\n else:\n raise ValueError('Left child exists')\n return self.__balance()\n\n def add_right(self, key: int) ->'Node':\n \"\"\"Add right child, return new root. Raises an exception when such child exists.\"\"\"\n if self.right is None:\n if key <= self.key:\n raise ValueError(\"Key isn't bigger than parent's key\")\n self.right = Node(key=key)\n self.right.parent = self\n else:\n raise ValueError('Right child exists')\n return self.__balance()\n\n def min(self) ->'Node':\n \"\"\"Return element with minimal key in this subtree.\"\"\"\n current = self\n while current.left is not None:\n current = current.left\n return current\n\n def max(self) ->'Node':\n \"\"\"Return element with maximal key in this subtree.\"\"\"\n current = self\n while current.right is not None:\n current = current.right\n return current\n\n def predecessor(self) ->Union['Node', None]:\n \"\"\"Return element with previous key.\"\"\"\n if self.left is not None:\n return self.left.max()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.right:\n return current.parent\n else:\n current = current.parent\n return None\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n\n def remove(self):\n \"\"\"Remove element from the tree, update links of adjacent nodes.\"\"\"\n parent = self.parent\n if self.left is None and self.right is None:\n if parent is None:\n return None\n elif parent.left is self:\n parent.left = None\n elif parent.right is self:\n parent.right = None\n elif self.left is not None and self.right is None:\n left = self.left\n left.parent = parent\n self.left = None\n if parent is None:\n return left\n elif parent.left is self:\n parent.left = left\n elif parent.right is self:\n parent.right = left\n elif self.left is None and self.right is not None:\n right = self.right\n right.parent = parent\n self.right = None\n if parent is None:\n return right\n elif parent.left is self:\n parent.left = right\n elif parent.right is self:\n parent.right = right\n else:\n successor = self.successor()\n self.key = successor.key\n return successor.remove()\n self.parent = None\n return parent.__balance()\n\n def split_sums(self, key: int) ->Tuple[int, int]:\n \"\"\"Compute sum of all keys less than this one,\n sum of all keys greater than this one and then return them.\"\"\"\n current = self\n less, greater = 0, 0\n while key != current.key:\n if key < current.key:\n greater += (current.right.sum if current.right is not None else\n 0)\n greater += current.key\n current = current.left\n elif key > current.key:\n less += current.left.sum if current.left is not None else 0\n less += current.key\n current = current.right\n if current is None:\n break\n if current is not None:\n less += current.left.sum if current.left is not None else 0\n greater += current.right.sum if current.right is not None else 0\n return less, greater\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n\n\ndef test_operations():\n test_tree = AVLTree()\n s = 0\n assert not test_tree.find(f(1, s))\n assert test_tree.insert(f(1, s))\n assert test_tree.find(f(1, s))\n assert test_tree.insert(f(2, s))\n s = test_tree.segment_sum(f(1, s), f(2, s))\n assert s == 3\n assert not test_tree.insert(f(1000000000, s))\n assert test_tree.find(f(1000000000, s))\n assert test_tree.remove(f(1000000000, s))\n assert not test_tree.remove(f(1000000000, s))\n s = test_tree.segment_sum(f(999999999, s), f(1000000000, s))\n assert s == 1\n assert not test_tree.remove(f(2, s))\n assert not test_tree.find(f(2, s))\n assert test_tree.remove(f(0, s))\n assert test_tree.insert(f(9, s))\n s = test_tree.segment_sum(f(0, s), f(9, s))\n assert s == 10\n test_tree.clear()\n s = 0\n assert not test_tree.find(f(0, s))\n assert test_tree.insert(f(0, s))\n assert test_tree.find(f(0, s))\n assert test_tree.remove(f(0, s))\n assert not test_tree.find(f(0, s))\n test_tree.clear()\n s = 0\n assert test_tree.insert(f(491572259, s))\n assert test_tree.find(f(491572259, s))\n assert not test_tree.find(f(899375874, s))\n s = test_tree.segment_sum(f(310971296, s), f(877523306, s))\n assert s == 491572259\n assert test_tree.insert(f(352411209, s))\n", "<import token>\n\n\nclass Node:\n \"\"\"Node class for AVL tree. Implements many useful methods.\"\"\"\n\n def __init__(self, key: int):\n self.key: int = key\n self.sum: int = self.key\n self.height: int = 1\n self.size: int = 1\n self.balance_factor: int = 0\n self.parent: Union[Node, None] = None\n self.left: Union[Node, None] = None\n self.right: Union[Node, None] = None\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n\n def __iter__(self):\n \"\"\"In-order traversal of subtree.\"\"\"\n if self.left is not None:\n yield from self.left\n yield self\n if self.right is not None:\n yield from self.right\n\n def __getitem__(self, item: int, base: int=1) ->'Node':\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f'Index out of range: {item - base ^ 1}')\n\n def __erase_links(self):\n self.parent = None\n self.left = None\n self.right = None\n\n def __update_height(self):\n left_height = self.left.height if self.left is not None else 0\n right_height = self.right.height if self.right is not None else 0\n self.height = 1 + max(left_height, right_height)\n self.balance_factor = right_height - left_height\n\n def __update_sum(self):\n left_sum = self.left.sum if self.left is not None else 0\n right_sum = self.right.sum if self.right is not None else 0\n self.sum = self.key + left_sum + right_sum\n\n def __update_size(self):\n left_size = self.left.size if self.left is not None else 0\n right_size = self.right.size if self.right is not None else 0\n self.size = 1 + left_size + right_size\n\n def __update_all(self):\n self.__update_height()\n self.__update_size()\n self.__update_sum()\n\n def __rotate_left(self) ->'Node':\n \"\"\"Perform a left AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.right\n self.right = lower.left\n if self.right is not None:\n self.right.parent = self\n self.__update_all()\n parent = self.parent\n lower.left = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __rotate_right(self) ->'Node':\n \"\"\"Perform a right AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.left\n self.left = lower.right\n if self.left is not None:\n self.left.parent = self\n self.__update_all()\n parent = self.parent\n lower.right = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n\n def add_left(self, key: int) ->'Node':\n \"\"\"Add left child, return new root. Raises an exception when such child exists.\"\"\"\n if self.left is None:\n if key >= self.key:\n raise ValueError(\"Key isn't less than parent's key\")\n self.left = Node(key=key)\n self.left.parent = self\n else:\n raise ValueError('Left child exists')\n return self.__balance()\n\n def add_right(self, key: int) ->'Node':\n \"\"\"Add right child, return new root. Raises an exception when such child exists.\"\"\"\n if self.right is None:\n if key <= self.key:\n raise ValueError(\"Key isn't bigger than parent's key\")\n self.right = Node(key=key)\n self.right.parent = self\n else:\n raise ValueError('Right child exists')\n return self.__balance()\n\n def min(self) ->'Node':\n \"\"\"Return element with minimal key in this subtree.\"\"\"\n current = self\n while current.left is not None:\n current = current.left\n return current\n\n def max(self) ->'Node':\n \"\"\"Return element with maximal key in this subtree.\"\"\"\n current = self\n while current.right is not None:\n current = current.right\n return current\n\n def predecessor(self) ->Union['Node', None]:\n \"\"\"Return element with previous key.\"\"\"\n if self.left is not None:\n return self.left.max()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.right:\n return current.parent\n else:\n current = current.parent\n return None\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n\n def remove(self):\n \"\"\"Remove element from the tree, update links of adjacent nodes.\"\"\"\n parent = self.parent\n if self.left is None and self.right is None:\n if parent is None:\n return None\n elif parent.left is self:\n parent.left = None\n elif parent.right is self:\n parent.right = None\n elif self.left is not None and self.right is None:\n left = self.left\n left.parent = parent\n self.left = None\n if parent is None:\n return left\n elif parent.left is self:\n parent.left = left\n elif parent.right is self:\n parent.right = left\n elif self.left is None and self.right is not None:\n right = self.right\n right.parent = parent\n self.right = None\n if parent is None:\n return right\n elif parent.left is self:\n parent.left = right\n elif parent.right is self:\n parent.right = right\n else:\n successor = self.successor()\n self.key = successor.key\n return successor.remove()\n self.parent = None\n return parent.__balance()\n\n def split_sums(self, key: int) ->Tuple[int, int]:\n \"\"\"Compute sum of all keys less than this one,\n sum of all keys greater than this one and then return them.\"\"\"\n current = self\n less, greater = 0, 0\n while key != current.key:\n if key < current.key:\n greater += (current.right.sum if current.right is not None else\n 0)\n greater += current.key\n current = current.left\n elif key > current.key:\n less += current.left.sum if current.left is not None else 0\n less += current.key\n current = current.right\n if current is None:\n break\n if current is not None:\n less += current.left.sum if current.left is not None else 0\n greater += current.right.sum if current.right is not None else 0\n return less, greater\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n\n\nclass Node:\n <docstring token>\n\n def __init__(self, key: int):\n self.key: int = key\n self.sum: int = self.key\n self.height: int = 1\n self.size: int = 1\n self.balance_factor: int = 0\n self.parent: Union[Node, None] = None\n self.left: Union[Node, None] = None\n self.right: Union[Node, None] = None\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n\n def __iter__(self):\n \"\"\"In-order traversal of subtree.\"\"\"\n if self.left is not None:\n yield from self.left\n yield self\n if self.right is not None:\n yield from self.right\n\n def __getitem__(self, item: int, base: int=1) ->'Node':\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f'Index out of range: {item - base ^ 1}')\n\n def __erase_links(self):\n self.parent = None\n self.left = None\n self.right = None\n\n def __update_height(self):\n left_height = self.left.height if self.left is not None else 0\n right_height = self.right.height if self.right is not None else 0\n self.height = 1 + max(left_height, right_height)\n self.balance_factor = right_height - left_height\n\n def __update_sum(self):\n left_sum = self.left.sum if self.left is not None else 0\n right_sum = self.right.sum if self.right is not None else 0\n self.sum = self.key + left_sum + right_sum\n\n def __update_size(self):\n left_size = self.left.size if self.left is not None else 0\n right_size = self.right.size if self.right is not None else 0\n self.size = 1 + left_size + right_size\n\n def __update_all(self):\n self.__update_height()\n self.__update_size()\n self.__update_sum()\n\n def __rotate_left(self) ->'Node':\n \"\"\"Perform a left AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.right\n self.right = lower.left\n if self.right is not None:\n self.right.parent = self\n self.__update_all()\n parent = self.parent\n lower.left = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __rotate_right(self) ->'Node':\n \"\"\"Perform a right AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.left\n self.left = lower.right\n if self.left is not None:\n self.left.parent = self\n self.__update_all()\n parent = self.parent\n lower.right = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n\n def add_left(self, key: int) ->'Node':\n \"\"\"Add left child, return new root. Raises an exception when such child exists.\"\"\"\n if self.left is None:\n if key >= self.key:\n raise ValueError(\"Key isn't less than parent's key\")\n self.left = Node(key=key)\n self.left.parent = self\n else:\n raise ValueError('Left child exists')\n return self.__balance()\n\n def add_right(self, key: int) ->'Node':\n \"\"\"Add right child, return new root. Raises an exception when such child exists.\"\"\"\n if self.right is None:\n if key <= self.key:\n raise ValueError(\"Key isn't bigger than parent's key\")\n self.right = Node(key=key)\n self.right.parent = self\n else:\n raise ValueError('Right child exists')\n return self.__balance()\n\n def min(self) ->'Node':\n \"\"\"Return element with minimal key in this subtree.\"\"\"\n current = self\n while current.left is not None:\n current = current.left\n return current\n\n def max(self) ->'Node':\n \"\"\"Return element with maximal key in this subtree.\"\"\"\n current = self\n while current.right is not None:\n current = current.right\n return current\n\n def predecessor(self) ->Union['Node', None]:\n \"\"\"Return element with previous key.\"\"\"\n if self.left is not None:\n return self.left.max()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.right:\n return current.parent\n else:\n current = current.parent\n return None\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n\n def remove(self):\n \"\"\"Remove element from the tree, update links of adjacent nodes.\"\"\"\n parent = self.parent\n if self.left is None and self.right is None:\n if parent is None:\n return None\n elif parent.left is self:\n parent.left = None\n elif parent.right is self:\n parent.right = None\n elif self.left is not None and self.right is None:\n left = self.left\n left.parent = parent\n self.left = None\n if parent is None:\n return left\n elif parent.left is self:\n parent.left = left\n elif parent.right is self:\n parent.right = left\n elif self.left is None and self.right is not None:\n right = self.right\n right.parent = parent\n self.right = None\n if parent is None:\n return right\n elif parent.left is self:\n parent.left = right\n elif parent.right is self:\n parent.right = right\n else:\n successor = self.successor()\n self.key = successor.key\n return successor.remove()\n self.parent = None\n return parent.__balance()\n\n def split_sums(self, key: int) ->Tuple[int, int]:\n \"\"\"Compute sum of all keys less than this one,\n sum of all keys greater than this one and then return them.\"\"\"\n current = self\n less, greater = 0, 0\n while key != current.key:\n if key < current.key:\n greater += (current.right.sum if current.right is not None else\n 0)\n greater += current.key\n current = current.left\n elif key > current.key:\n less += current.left.sum if current.left is not None else 0\n less += current.key\n current = current.right\n if current is None:\n break\n if current is not None:\n less += current.left.sum if current.left is not None else 0\n greater += current.right.sum if current.right is not None else 0\n return less, greater\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n\n\nclass Node:\n <docstring token>\n\n def __init__(self, key: int):\n self.key: int = key\n self.sum: int = self.key\n self.height: int = 1\n self.size: int = 1\n self.balance_factor: int = 0\n self.parent: Union[Node, None] = None\n self.left: Union[Node, None] = None\n self.right: Union[Node, None] = None\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n\n def __iter__(self):\n \"\"\"In-order traversal of subtree.\"\"\"\n if self.left is not None:\n yield from self.left\n yield self\n if self.right is not None:\n yield from self.right\n\n def __getitem__(self, item: int, base: int=1) ->'Node':\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f'Index out of range: {item - base ^ 1}')\n <function token>\n\n def __update_height(self):\n left_height = self.left.height if self.left is not None else 0\n right_height = self.right.height if self.right is not None else 0\n self.height = 1 + max(left_height, right_height)\n self.balance_factor = right_height - left_height\n\n def __update_sum(self):\n left_sum = self.left.sum if self.left is not None else 0\n right_sum = self.right.sum if self.right is not None else 0\n self.sum = self.key + left_sum + right_sum\n\n def __update_size(self):\n left_size = self.left.size if self.left is not None else 0\n right_size = self.right.size if self.right is not None else 0\n self.size = 1 + left_size + right_size\n\n def __update_all(self):\n self.__update_height()\n self.__update_size()\n self.__update_sum()\n\n def __rotate_left(self) ->'Node':\n \"\"\"Perform a left AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.right\n self.right = lower.left\n if self.right is not None:\n self.right.parent = self\n self.__update_all()\n parent = self.parent\n lower.left = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __rotate_right(self) ->'Node':\n \"\"\"Perform a right AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.left\n self.left = lower.right\n if self.left is not None:\n self.left.parent = self\n self.__update_all()\n parent = self.parent\n lower.right = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n\n def add_left(self, key: int) ->'Node':\n \"\"\"Add left child, return new root. Raises an exception when such child exists.\"\"\"\n if self.left is None:\n if key >= self.key:\n raise ValueError(\"Key isn't less than parent's key\")\n self.left = Node(key=key)\n self.left.parent = self\n else:\n raise ValueError('Left child exists')\n return self.__balance()\n\n def add_right(self, key: int) ->'Node':\n \"\"\"Add right child, return new root. Raises an exception when such child exists.\"\"\"\n if self.right is None:\n if key <= self.key:\n raise ValueError(\"Key isn't bigger than parent's key\")\n self.right = Node(key=key)\n self.right.parent = self\n else:\n raise ValueError('Right child exists')\n return self.__balance()\n\n def min(self) ->'Node':\n \"\"\"Return element with minimal key in this subtree.\"\"\"\n current = self\n while current.left is not None:\n current = current.left\n return current\n\n def max(self) ->'Node':\n \"\"\"Return element with maximal key in this subtree.\"\"\"\n current = self\n while current.right is not None:\n current = current.right\n return current\n\n def predecessor(self) ->Union['Node', None]:\n \"\"\"Return element with previous key.\"\"\"\n if self.left is not None:\n return self.left.max()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.right:\n return current.parent\n else:\n current = current.parent\n return None\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n\n def remove(self):\n \"\"\"Remove element from the tree, update links of adjacent nodes.\"\"\"\n parent = self.parent\n if self.left is None and self.right is None:\n if parent is None:\n return None\n elif parent.left is self:\n parent.left = None\n elif parent.right is self:\n parent.right = None\n elif self.left is not None and self.right is None:\n left = self.left\n left.parent = parent\n self.left = None\n if parent is None:\n return left\n elif parent.left is self:\n parent.left = left\n elif parent.right is self:\n parent.right = left\n elif self.left is None and self.right is not None:\n right = self.right\n right.parent = parent\n self.right = None\n if parent is None:\n return right\n elif parent.left is self:\n parent.left = right\n elif parent.right is self:\n parent.right = right\n else:\n successor = self.successor()\n self.key = successor.key\n return successor.remove()\n self.parent = None\n return parent.__balance()\n\n def split_sums(self, key: int) ->Tuple[int, int]:\n \"\"\"Compute sum of all keys less than this one,\n sum of all keys greater than this one and then return them.\"\"\"\n current = self\n less, greater = 0, 0\n while key != current.key:\n if key < current.key:\n greater += (current.right.sum if current.right is not None else\n 0)\n greater += current.key\n current = current.left\n elif key > current.key:\n less += current.left.sum if current.left is not None else 0\n less += current.key\n current = current.right\n if current is None:\n break\n if current is not None:\n less += current.left.sum if current.left is not None else 0\n greater += current.right.sum if current.right is not None else 0\n return less, greater\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n\n\nclass Node:\n <docstring token>\n\n def __init__(self, key: int):\n self.key: int = key\n self.sum: int = self.key\n self.height: int = 1\n self.size: int = 1\n self.balance_factor: int = 0\n self.parent: Union[Node, None] = None\n self.left: Union[Node, None] = None\n self.right: Union[Node, None] = None\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n\n def __iter__(self):\n \"\"\"In-order traversal of subtree.\"\"\"\n if self.left is not None:\n yield from self.left\n yield self\n if self.right is not None:\n yield from self.right\n\n def __getitem__(self, item: int, base: int=1) ->'Node':\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f'Index out of range: {item - base ^ 1}')\n <function token>\n\n def __update_height(self):\n left_height = self.left.height if self.left is not None else 0\n right_height = self.right.height if self.right is not None else 0\n self.height = 1 + max(left_height, right_height)\n self.balance_factor = right_height - left_height\n\n def __update_sum(self):\n left_sum = self.left.sum if self.left is not None else 0\n right_sum = self.right.sum if self.right is not None else 0\n self.sum = self.key + left_sum + right_sum\n\n def __update_size(self):\n left_size = self.left.size if self.left is not None else 0\n right_size = self.right.size if self.right is not None else 0\n self.size = 1 + left_size + right_size\n\n def __update_all(self):\n self.__update_height()\n self.__update_size()\n self.__update_sum()\n\n def __rotate_left(self) ->'Node':\n \"\"\"Perform a left AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.right\n self.right = lower.left\n if self.right is not None:\n self.right.parent = self\n self.__update_all()\n parent = self.parent\n lower.left = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __rotate_right(self) ->'Node':\n \"\"\"Perform a right AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.left\n self.left = lower.right\n if self.left is not None:\n self.left.parent = self\n self.__update_all()\n parent = self.parent\n lower.right = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n <function token>\n\n def add_right(self, key: int) ->'Node':\n \"\"\"Add right child, return new root. Raises an exception when such child exists.\"\"\"\n if self.right is None:\n if key <= self.key:\n raise ValueError(\"Key isn't bigger than parent's key\")\n self.right = Node(key=key)\n self.right.parent = self\n else:\n raise ValueError('Right child exists')\n return self.__balance()\n\n def min(self) ->'Node':\n \"\"\"Return element with minimal key in this subtree.\"\"\"\n current = self\n while current.left is not None:\n current = current.left\n return current\n\n def max(self) ->'Node':\n \"\"\"Return element with maximal key in this subtree.\"\"\"\n current = self\n while current.right is not None:\n current = current.right\n return current\n\n def predecessor(self) ->Union['Node', None]:\n \"\"\"Return element with previous key.\"\"\"\n if self.left is not None:\n return self.left.max()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.right:\n return current.parent\n else:\n current = current.parent\n return None\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n\n def remove(self):\n \"\"\"Remove element from the tree, update links of adjacent nodes.\"\"\"\n parent = self.parent\n if self.left is None and self.right is None:\n if parent is None:\n return None\n elif parent.left is self:\n parent.left = None\n elif parent.right is self:\n parent.right = None\n elif self.left is not None and self.right is None:\n left = self.left\n left.parent = parent\n self.left = None\n if parent is None:\n return left\n elif parent.left is self:\n parent.left = left\n elif parent.right is self:\n parent.right = left\n elif self.left is None and self.right is not None:\n right = self.right\n right.parent = parent\n self.right = None\n if parent is None:\n return right\n elif parent.left is self:\n parent.left = right\n elif parent.right is self:\n parent.right = right\n else:\n successor = self.successor()\n self.key = successor.key\n return successor.remove()\n self.parent = None\n return parent.__balance()\n\n def split_sums(self, key: int) ->Tuple[int, int]:\n \"\"\"Compute sum of all keys less than this one,\n sum of all keys greater than this one and then return them.\"\"\"\n current = self\n less, greater = 0, 0\n while key != current.key:\n if key < current.key:\n greater += (current.right.sum if current.right is not None else\n 0)\n greater += current.key\n current = current.left\n elif key > current.key:\n less += current.left.sum if current.left is not None else 0\n less += current.key\n current = current.right\n if current is None:\n break\n if current is not None:\n less += current.left.sum if current.left is not None else 0\n greater += current.right.sum if current.right is not None else 0\n return less, greater\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n\n\nclass Node:\n <docstring token>\n\n def __init__(self, key: int):\n self.key: int = key\n self.sum: int = self.key\n self.height: int = 1\n self.size: int = 1\n self.balance_factor: int = 0\n self.parent: Union[Node, None] = None\n self.left: Union[Node, None] = None\n self.right: Union[Node, None] = None\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n\n def __iter__(self):\n \"\"\"In-order traversal of subtree.\"\"\"\n if self.left is not None:\n yield from self.left\n yield self\n if self.right is not None:\n yield from self.right\n\n def __getitem__(self, item: int, base: int=1) ->'Node':\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f'Index out of range: {item - base ^ 1}')\n <function token>\n\n def __update_height(self):\n left_height = self.left.height if self.left is not None else 0\n right_height = self.right.height if self.right is not None else 0\n self.height = 1 + max(left_height, right_height)\n self.balance_factor = right_height - left_height\n\n def __update_sum(self):\n left_sum = self.left.sum if self.left is not None else 0\n right_sum = self.right.sum if self.right is not None else 0\n self.sum = self.key + left_sum + right_sum\n\n def __update_size(self):\n left_size = self.left.size if self.left is not None else 0\n right_size = self.right.size if self.right is not None else 0\n self.size = 1 + left_size + right_size\n\n def __update_all(self):\n self.__update_height()\n self.__update_size()\n self.__update_sum()\n\n def __rotate_left(self) ->'Node':\n \"\"\"Perform a left AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.right\n self.right = lower.left\n if self.right is not None:\n self.right.parent = self\n self.__update_all()\n parent = self.parent\n lower.left = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __rotate_right(self) ->'Node':\n \"\"\"Perform a right AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.left\n self.left = lower.right\n if self.left is not None:\n self.left.parent = self\n self.__update_all()\n parent = self.parent\n lower.right = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n <function token>\n\n def add_right(self, key: int) ->'Node':\n \"\"\"Add right child, return new root. Raises an exception when such child exists.\"\"\"\n if self.right is None:\n if key <= self.key:\n raise ValueError(\"Key isn't bigger than parent's key\")\n self.right = Node(key=key)\n self.right.parent = self\n else:\n raise ValueError('Right child exists')\n return self.__balance()\n\n def min(self) ->'Node':\n \"\"\"Return element with minimal key in this subtree.\"\"\"\n current = self\n while current.left is not None:\n current = current.left\n return current\n <function token>\n\n def predecessor(self) ->Union['Node', None]:\n \"\"\"Return element with previous key.\"\"\"\n if self.left is not None:\n return self.left.max()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.right:\n return current.parent\n else:\n current = current.parent\n return None\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n\n def remove(self):\n \"\"\"Remove element from the tree, update links of adjacent nodes.\"\"\"\n parent = self.parent\n if self.left is None and self.right is None:\n if parent is None:\n return None\n elif parent.left is self:\n parent.left = None\n elif parent.right is self:\n parent.right = None\n elif self.left is not None and self.right is None:\n left = self.left\n left.parent = parent\n self.left = None\n if parent is None:\n return left\n elif parent.left is self:\n parent.left = left\n elif parent.right is self:\n parent.right = left\n elif self.left is None and self.right is not None:\n right = self.right\n right.parent = parent\n self.right = None\n if parent is None:\n return right\n elif parent.left is self:\n parent.left = right\n elif parent.right is self:\n parent.right = right\n else:\n successor = self.successor()\n self.key = successor.key\n return successor.remove()\n self.parent = None\n return parent.__balance()\n\n def split_sums(self, key: int) ->Tuple[int, int]:\n \"\"\"Compute sum of all keys less than this one,\n sum of all keys greater than this one and then return them.\"\"\"\n current = self\n less, greater = 0, 0\n while key != current.key:\n if key < current.key:\n greater += (current.right.sum if current.right is not None else\n 0)\n greater += current.key\n current = current.left\n elif key > current.key:\n less += current.left.sum if current.left is not None else 0\n less += current.key\n current = current.right\n if current is None:\n break\n if current is not None:\n less += current.left.sum if current.left is not None else 0\n greater += current.right.sum if current.right is not None else 0\n return less, greater\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n\n\nclass Node:\n <docstring token>\n\n def __init__(self, key: int):\n self.key: int = key\n self.sum: int = self.key\n self.height: int = 1\n self.size: int = 1\n self.balance_factor: int = 0\n self.parent: Union[Node, None] = None\n self.left: Union[Node, None] = None\n self.right: Union[Node, None] = None\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n\n def __iter__(self):\n \"\"\"In-order traversal of subtree.\"\"\"\n if self.left is not None:\n yield from self.left\n yield self\n if self.right is not None:\n yield from self.right\n\n def __getitem__(self, item: int, base: int=1) ->'Node':\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f'Index out of range: {item - base ^ 1}')\n <function token>\n\n def __update_height(self):\n left_height = self.left.height if self.left is not None else 0\n right_height = self.right.height if self.right is not None else 0\n self.height = 1 + max(left_height, right_height)\n self.balance_factor = right_height - left_height\n\n def __update_sum(self):\n left_sum = self.left.sum if self.left is not None else 0\n right_sum = self.right.sum if self.right is not None else 0\n self.sum = self.key + left_sum + right_sum\n\n def __update_size(self):\n left_size = self.left.size if self.left is not None else 0\n right_size = self.right.size if self.right is not None else 0\n self.size = 1 + left_size + right_size\n\n def __update_all(self):\n self.__update_height()\n self.__update_size()\n self.__update_sum()\n\n def __rotate_left(self) ->'Node':\n \"\"\"Perform a left AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.right\n self.right = lower.left\n if self.right is not None:\n self.right.parent = self\n self.__update_all()\n parent = self.parent\n lower.left = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __rotate_right(self) ->'Node':\n \"\"\"Perform a right AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.left\n self.left = lower.right\n if self.left is not None:\n self.left.parent = self\n self.__update_all()\n parent = self.parent\n lower.right = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n <function token>\n\n def add_right(self, key: int) ->'Node':\n \"\"\"Add right child, return new root. Raises an exception when such child exists.\"\"\"\n if self.right is None:\n if key <= self.key:\n raise ValueError(\"Key isn't bigger than parent's key\")\n self.right = Node(key=key)\n self.right.parent = self\n else:\n raise ValueError('Right child exists')\n return self.__balance()\n\n def min(self) ->'Node':\n \"\"\"Return element with minimal key in this subtree.\"\"\"\n current = self\n while current.left is not None:\n current = current.left\n return current\n <function token>\n\n def predecessor(self) ->Union['Node', None]:\n \"\"\"Return element with previous key.\"\"\"\n if self.left is not None:\n return self.left.max()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.right:\n return current.parent\n else:\n current = current.parent\n return None\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n <function token>\n\n def split_sums(self, key: int) ->Tuple[int, int]:\n \"\"\"Compute sum of all keys less than this one,\n sum of all keys greater than this one and then return them.\"\"\"\n current = self\n less, greater = 0, 0\n while key != current.key:\n if key < current.key:\n greater += (current.right.sum if current.right is not None else\n 0)\n greater += current.key\n current = current.left\n elif key > current.key:\n less += current.left.sum if current.left is not None else 0\n less += current.key\n current = current.right\n if current is None:\n break\n if current is not None:\n less += current.left.sum if current.left is not None else 0\n greater += current.right.sum if current.right is not None else 0\n return less, greater\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n\n\nclass Node:\n <docstring token>\n\n def __init__(self, key: int):\n self.key: int = key\n self.sum: int = self.key\n self.height: int = 1\n self.size: int = 1\n self.balance_factor: int = 0\n self.parent: Union[Node, None] = None\n self.left: Union[Node, None] = None\n self.right: Union[Node, None] = None\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n\n def __iter__(self):\n \"\"\"In-order traversal of subtree.\"\"\"\n if self.left is not None:\n yield from self.left\n yield self\n if self.right is not None:\n yield from self.right\n\n def __getitem__(self, item: int, base: int=1) ->'Node':\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f'Index out of range: {item - base ^ 1}')\n <function token>\n <function token>\n\n def __update_sum(self):\n left_sum = self.left.sum if self.left is not None else 0\n right_sum = self.right.sum if self.right is not None else 0\n self.sum = self.key + left_sum + right_sum\n\n def __update_size(self):\n left_size = self.left.size if self.left is not None else 0\n right_size = self.right.size if self.right is not None else 0\n self.size = 1 + left_size + right_size\n\n def __update_all(self):\n self.__update_height()\n self.__update_size()\n self.__update_sum()\n\n def __rotate_left(self) ->'Node':\n \"\"\"Perform a left AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.right\n self.right = lower.left\n if self.right is not None:\n self.right.parent = self\n self.__update_all()\n parent = self.parent\n lower.left = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __rotate_right(self) ->'Node':\n \"\"\"Perform a right AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.left\n self.left = lower.right\n if self.left is not None:\n self.left.parent = self\n self.__update_all()\n parent = self.parent\n lower.right = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n <function token>\n\n def add_right(self, key: int) ->'Node':\n \"\"\"Add right child, return new root. Raises an exception when such child exists.\"\"\"\n if self.right is None:\n if key <= self.key:\n raise ValueError(\"Key isn't bigger than parent's key\")\n self.right = Node(key=key)\n self.right.parent = self\n else:\n raise ValueError('Right child exists')\n return self.__balance()\n\n def min(self) ->'Node':\n \"\"\"Return element with minimal key in this subtree.\"\"\"\n current = self\n while current.left is not None:\n current = current.left\n return current\n <function token>\n\n def predecessor(self) ->Union['Node', None]:\n \"\"\"Return element with previous key.\"\"\"\n if self.left is not None:\n return self.left.max()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.right:\n return current.parent\n else:\n current = current.parent\n return None\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n <function token>\n\n def split_sums(self, key: int) ->Tuple[int, int]:\n \"\"\"Compute sum of all keys less than this one,\n sum of all keys greater than this one and then return them.\"\"\"\n current = self\n less, greater = 0, 0\n while key != current.key:\n if key < current.key:\n greater += (current.right.sum if current.right is not None else\n 0)\n greater += current.key\n current = current.left\n elif key > current.key:\n less += current.left.sum if current.left is not None else 0\n less += current.key\n current = current.right\n if current is None:\n break\n if current is not None:\n less += current.left.sum if current.left is not None else 0\n greater += current.right.sum if current.right is not None else 0\n return less, greater\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n\n\nclass Node:\n <docstring token>\n\n def __init__(self, key: int):\n self.key: int = key\n self.sum: int = self.key\n self.height: int = 1\n self.size: int = 1\n self.balance_factor: int = 0\n self.parent: Union[Node, None] = None\n self.left: Union[Node, None] = None\n self.right: Union[Node, None] = None\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n\n def __iter__(self):\n \"\"\"In-order traversal of subtree.\"\"\"\n if self.left is not None:\n yield from self.left\n yield self\n if self.right is not None:\n yield from self.right\n\n def __getitem__(self, item: int, base: int=1) ->'Node':\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f'Index out of range: {item - base ^ 1}')\n <function token>\n <function token>\n\n def __update_sum(self):\n left_sum = self.left.sum if self.left is not None else 0\n right_sum = self.right.sum if self.right is not None else 0\n self.sum = self.key + left_sum + right_sum\n\n def __update_size(self):\n left_size = self.left.size if self.left is not None else 0\n right_size = self.right.size if self.right is not None else 0\n self.size = 1 + left_size + right_size\n\n def __update_all(self):\n self.__update_height()\n self.__update_size()\n self.__update_sum()\n\n def __rotate_left(self) ->'Node':\n \"\"\"Perform a left AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.right\n self.right = lower.left\n if self.right is not None:\n self.right.parent = self\n self.__update_all()\n parent = self.parent\n lower.left = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __rotate_right(self) ->'Node':\n \"\"\"Perform a right AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.left\n self.left = lower.right\n if self.left is not None:\n self.left.parent = self\n self.__update_all()\n parent = self.parent\n lower.right = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n <function token>\n\n def add_right(self, key: int) ->'Node':\n \"\"\"Add right child, return new root. Raises an exception when such child exists.\"\"\"\n if self.right is None:\n if key <= self.key:\n raise ValueError(\"Key isn't bigger than parent's key\")\n self.right = Node(key=key)\n self.right.parent = self\n else:\n raise ValueError('Right child exists')\n return self.__balance()\n\n def min(self) ->'Node':\n \"\"\"Return element with minimal key in this subtree.\"\"\"\n current = self\n while current.left is not None:\n current = current.left\n return current\n <function token>\n\n def predecessor(self) ->Union['Node', None]:\n \"\"\"Return element with previous key.\"\"\"\n if self.left is not None:\n return self.left.max()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.right:\n return current.parent\n else:\n current = current.parent\n return None\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n <function token>\n <function token>\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n\n\nclass Node:\n <docstring token>\n\n def __init__(self, key: int):\n self.key: int = key\n self.sum: int = self.key\n self.height: int = 1\n self.size: int = 1\n self.balance_factor: int = 0\n self.parent: Union[Node, None] = None\n self.left: Union[Node, None] = None\n self.right: Union[Node, None] = None\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n\n def __iter__(self):\n \"\"\"In-order traversal of subtree.\"\"\"\n if self.left is not None:\n yield from self.left\n yield self\n if self.right is not None:\n yield from self.right\n\n def __getitem__(self, item: int, base: int=1) ->'Node':\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f'Index out of range: {item - base ^ 1}')\n <function token>\n <function token>\n\n def __update_sum(self):\n left_sum = self.left.sum if self.left is not None else 0\n right_sum = self.right.sum if self.right is not None else 0\n self.sum = self.key + left_sum + right_sum\n <function token>\n\n def __update_all(self):\n self.__update_height()\n self.__update_size()\n self.__update_sum()\n\n def __rotate_left(self) ->'Node':\n \"\"\"Perform a left AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.right\n self.right = lower.left\n if self.right is not None:\n self.right.parent = self\n self.__update_all()\n parent = self.parent\n lower.left = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __rotate_right(self) ->'Node':\n \"\"\"Perform a right AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.left\n self.left = lower.right\n if self.left is not None:\n self.left.parent = self\n self.__update_all()\n parent = self.parent\n lower.right = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n <function token>\n\n def add_right(self, key: int) ->'Node':\n \"\"\"Add right child, return new root. Raises an exception when such child exists.\"\"\"\n if self.right is None:\n if key <= self.key:\n raise ValueError(\"Key isn't bigger than parent's key\")\n self.right = Node(key=key)\n self.right.parent = self\n else:\n raise ValueError('Right child exists')\n return self.__balance()\n\n def min(self) ->'Node':\n \"\"\"Return element with minimal key in this subtree.\"\"\"\n current = self\n while current.left is not None:\n current = current.left\n return current\n <function token>\n\n def predecessor(self) ->Union['Node', None]:\n \"\"\"Return element with previous key.\"\"\"\n if self.left is not None:\n return self.left.max()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.right:\n return current.parent\n else:\n current = current.parent\n return None\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n <function token>\n <function token>\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n\n\nclass Node:\n <docstring token>\n <function token>\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n\n def __iter__(self):\n \"\"\"In-order traversal of subtree.\"\"\"\n if self.left is not None:\n yield from self.left\n yield self\n if self.right is not None:\n yield from self.right\n\n def __getitem__(self, item: int, base: int=1) ->'Node':\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f'Index out of range: {item - base ^ 1}')\n <function token>\n <function token>\n\n def __update_sum(self):\n left_sum = self.left.sum if self.left is not None else 0\n right_sum = self.right.sum if self.right is not None else 0\n self.sum = self.key + left_sum + right_sum\n <function token>\n\n def __update_all(self):\n self.__update_height()\n self.__update_size()\n self.__update_sum()\n\n def __rotate_left(self) ->'Node':\n \"\"\"Perform a left AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.right\n self.right = lower.left\n if self.right is not None:\n self.right.parent = self\n self.__update_all()\n parent = self.parent\n lower.left = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __rotate_right(self) ->'Node':\n \"\"\"Perform a right AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.left\n self.left = lower.right\n if self.left is not None:\n self.left.parent = self\n self.__update_all()\n parent = self.parent\n lower.right = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n <function token>\n\n def add_right(self, key: int) ->'Node':\n \"\"\"Add right child, return new root. Raises an exception when such child exists.\"\"\"\n if self.right is None:\n if key <= self.key:\n raise ValueError(\"Key isn't bigger than parent's key\")\n self.right = Node(key=key)\n self.right.parent = self\n else:\n raise ValueError('Right child exists')\n return self.__balance()\n\n def min(self) ->'Node':\n \"\"\"Return element with minimal key in this subtree.\"\"\"\n current = self\n while current.left is not None:\n current = current.left\n return current\n <function token>\n\n def predecessor(self) ->Union['Node', None]:\n \"\"\"Return element with previous key.\"\"\"\n if self.left is not None:\n return self.left.max()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.right:\n return current.parent\n else:\n current = current.parent\n return None\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n <function token>\n <function token>\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n\n\nclass Node:\n <docstring token>\n <function token>\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n\n def __iter__(self):\n \"\"\"In-order traversal of subtree.\"\"\"\n if self.left is not None:\n yield from self.left\n yield self\n if self.right is not None:\n yield from self.right\n\n def __getitem__(self, item: int, base: int=1) ->'Node':\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f'Index out of range: {item - base ^ 1}')\n <function token>\n <function token>\n\n def __update_sum(self):\n left_sum = self.left.sum if self.left is not None else 0\n right_sum = self.right.sum if self.right is not None else 0\n self.sum = self.key + left_sum + right_sum\n <function token>\n\n def __update_all(self):\n self.__update_height()\n self.__update_size()\n self.__update_sum()\n\n def __rotate_left(self) ->'Node':\n \"\"\"Perform a left AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.right\n self.right = lower.left\n if self.right is not None:\n self.right.parent = self\n self.__update_all()\n parent = self.parent\n lower.left = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __rotate_right(self) ->'Node':\n \"\"\"Perform a right AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.left\n self.left = lower.right\n if self.left is not None:\n self.left.parent = self\n self.__update_all()\n parent = self.parent\n lower.right = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n <function token>\n\n def add_right(self, key: int) ->'Node':\n \"\"\"Add right child, return new root. Raises an exception when such child exists.\"\"\"\n if self.right is None:\n if key <= self.key:\n raise ValueError(\"Key isn't bigger than parent's key\")\n self.right = Node(key=key)\n self.right.parent = self\n else:\n raise ValueError('Right child exists')\n return self.__balance()\n <function token>\n <function token>\n\n def predecessor(self) ->Union['Node', None]:\n \"\"\"Return element with previous key.\"\"\"\n if self.left is not None:\n return self.left.max()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.right:\n return current.parent\n else:\n current = current.parent\n return None\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n <function token>\n <function token>\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n\n\nclass Node:\n <docstring token>\n <function token>\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n\n def __iter__(self):\n \"\"\"In-order traversal of subtree.\"\"\"\n if self.left is not None:\n yield from self.left\n yield self\n if self.right is not None:\n yield from self.right\n\n def __getitem__(self, item: int, base: int=1) ->'Node':\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f'Index out of range: {item - base ^ 1}')\n <function token>\n <function token>\n\n def __update_sum(self):\n left_sum = self.left.sum if self.left is not None else 0\n right_sum = self.right.sum if self.right is not None else 0\n self.sum = self.key + left_sum + right_sum\n <function token>\n\n def __update_all(self):\n self.__update_height()\n self.__update_size()\n self.__update_sum()\n\n def __rotate_left(self) ->'Node':\n \"\"\"Perform a left AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.right\n self.right = lower.left\n if self.right is not None:\n self.right.parent = self\n self.__update_all()\n parent = self.parent\n lower.left = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __rotate_right(self) ->'Node':\n \"\"\"Perform a right AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.left\n self.left = lower.right\n if self.left is not None:\n self.left.parent = self\n self.__update_all()\n parent = self.parent\n lower.right = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n <function token>\n <function token>\n <function token>\n <function token>\n\n def predecessor(self) ->Union['Node', None]:\n \"\"\"Return element with previous key.\"\"\"\n if self.left is not None:\n return self.left.max()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.right:\n return current.parent\n else:\n current = current.parent\n return None\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n <function token>\n <function token>\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n\n\nclass Node:\n <docstring token>\n <function token>\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n\n def __iter__(self):\n \"\"\"In-order traversal of subtree.\"\"\"\n if self.left is not None:\n yield from self.left\n yield self\n if self.right is not None:\n yield from self.right\n\n def __getitem__(self, item: int, base: int=1) ->'Node':\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f'Index out of range: {item - base ^ 1}')\n <function token>\n <function token>\n\n def __update_sum(self):\n left_sum = self.left.sum if self.left is not None else 0\n right_sum = self.right.sum if self.right is not None else 0\n self.sum = self.key + left_sum + right_sum\n <function token>\n <function token>\n\n def __rotate_left(self) ->'Node':\n \"\"\"Perform a left AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.right\n self.right = lower.left\n if self.right is not None:\n self.right.parent = self\n self.__update_all()\n parent = self.parent\n lower.left = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __rotate_right(self) ->'Node':\n \"\"\"Perform a right AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.left\n self.left = lower.right\n if self.left is not None:\n self.left.parent = self\n self.__update_all()\n parent = self.parent\n lower.right = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n <function token>\n <function token>\n <function token>\n <function token>\n\n def predecessor(self) ->Union['Node', None]:\n \"\"\"Return element with previous key.\"\"\"\n if self.left is not None:\n return self.left.max()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.right:\n return current.parent\n else:\n current = current.parent\n return None\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n <function token>\n <function token>\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n\n\nclass Node:\n <docstring token>\n <function token>\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n <function token>\n\n def __getitem__(self, item: int, base: int=1) ->'Node':\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f'Index out of range: {item - base ^ 1}')\n <function token>\n <function token>\n\n def __update_sum(self):\n left_sum = self.left.sum if self.left is not None else 0\n right_sum = self.right.sum if self.right is not None else 0\n self.sum = self.key + left_sum + right_sum\n <function token>\n <function token>\n\n def __rotate_left(self) ->'Node':\n \"\"\"Perform a left AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.right\n self.right = lower.left\n if self.right is not None:\n self.right.parent = self\n self.__update_all()\n parent = self.parent\n lower.left = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __rotate_right(self) ->'Node':\n \"\"\"Perform a right AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.left\n self.left = lower.right\n if self.left is not None:\n self.left.parent = self\n self.__update_all()\n parent = self.parent\n lower.right = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n <function token>\n <function token>\n <function token>\n <function token>\n\n def predecessor(self) ->Union['Node', None]:\n \"\"\"Return element with previous key.\"\"\"\n if self.left is not None:\n return self.left.max()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.right:\n return current.parent\n else:\n current = current.parent\n return None\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n <function token>\n <function token>\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n\n\nclass Node:\n <docstring token>\n <function token>\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n <function token>\n\n def __getitem__(self, item: int, base: int=1) ->'Node':\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f'Index out of range: {item - base ^ 1}')\n <function token>\n <function token>\n\n def __update_sum(self):\n left_sum = self.left.sum if self.left is not None else 0\n right_sum = self.right.sum if self.right is not None else 0\n self.sum = self.key + left_sum + right_sum\n <function token>\n <function token>\n <function token>\n\n def __rotate_right(self) ->'Node':\n \"\"\"Perform a right AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.left\n self.left = lower.right\n if self.left is not None:\n self.left.parent = self\n self.__update_all()\n parent = self.parent\n lower.right = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n <function token>\n <function token>\n <function token>\n <function token>\n\n def predecessor(self) ->Union['Node', None]:\n \"\"\"Return element with previous key.\"\"\"\n if self.left is not None:\n return self.left.max()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.right:\n return current.parent\n else:\n current = current.parent\n return None\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n <function token>\n <function token>\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n\n\nclass Node:\n <docstring token>\n <function token>\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n <function token>\n\n def __getitem__(self, item: int, base: int=1) ->'Node':\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f'Index out of range: {item - base ^ 1}')\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __rotate_right(self) ->'Node':\n \"\"\"Perform a right AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.left\n self.left = lower.right\n if self.left is not None:\n self.left.parent = self\n self.__update_all()\n parent = self.parent\n lower.right = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n <function token>\n <function token>\n <function token>\n <function token>\n\n def predecessor(self) ->Union['Node', None]:\n \"\"\"Return element with previous key.\"\"\"\n if self.left is not None:\n return self.left.max()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.right:\n return current.parent\n else:\n current = current.parent\n return None\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n <function token>\n <function token>\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n\n\nclass Node:\n <docstring token>\n <function token>\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n <function token>\n\n def __getitem__(self, item: int, base: int=1) ->'Node':\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f'Index out of range: {item - base ^ 1}')\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __rotate_right(self) ->'Node':\n \"\"\"Perform a right AVL rotation on the node. Returns new root of the subtree.\"\"\"\n lower = self.left\n self.left = lower.right\n if self.left is not None:\n self.left.parent = self\n self.__update_all()\n parent = self.parent\n lower.right = self\n self.parent = lower\n lower.__update_all()\n lower.parent = parent\n if parent is not None and parent.left == self:\n parent.left = lower\n elif parent is not None and parent.right == self:\n parent.right = lower\n return lower\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n <function token>\n <function token>\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n\n\nclass Node:\n <docstring token>\n <function token>\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n <function token>\n\n def __getitem__(self, item: int, base: int=1) ->'Node':\n \"\"\"Access element by index.\"\"\"\n item += base ^ 1\n left_size = self.left.size if self.left is not None else 0\n if 0 < item < left_size + 1:\n return self.left.__getitem__(item)\n elif item == left_size + 1:\n return self\n elif left_size + 1 < item <= self.size:\n return self.right.__getitem__(item - left_size - 1)\n else:\n raise IndexError(f'Index out of range: {item - base ^ 1}')\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n <function token>\n <function token>\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n\n\nclass Node:\n <docstring token>\n <function token>\n\n def __repr__(self):\n return (\n f'Node: key={self.key}, height={self.height}, balance_factor={self.balance_factor}, size={self.size}, sum={self.sum})'\n )\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n <function token>\n <function token>\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n\n\nclass Node:\n <docstring token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def successor(self) ->Union['Node', None]:\n \"\"\"Return element with next key.\"\"\"\n if self.right is not None:\n return self.right.min()\n else:\n current = self\n while current.parent is not None:\n if current == current.parent.left:\n return current.parent\n else:\n current = current.parent\n return None\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n <function token>\n <function token>\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n\n\nclass Node:\n <docstring token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __balance(self) ->'Node':\n \"\"\"Balance tree starting from current node. Return root node of the whole tree.\"\"\"\n current = self\n while True:\n current.__update_height()\n if current.balance_factor == 2:\n middle = current.right\n if middle.balance_factor < 0:\n middle.__rotate_right()\n current = current.__rotate_left()\n elif current.balance_factor == -2:\n middle = current.left\n if middle.balance_factor > 0:\n middle.__rotate_left()\n current = current.__rotate_right()\n else:\n current.__update_size()\n current.__update_sum()\n if current.parent is None:\n return current\n current = current.parent\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n <function token>\n <function token>\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n\n\nclass Node:\n <docstring token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def find(self, key) ->Union['Node', None]:\n \"\"\"Return element with such key if present, otherwise None.\"\"\"\n current = self\n while key != current.key:\n if key < current.key:\n current = current.left\n elif key > current.key:\n current = current.right\n if current is None:\n break\n return current\n <function token>\n <function token>\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n\n\nclass Node:\n <docstring token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n<class token>\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n\n @property\n def size(self) ->int:\n \"\"\"Return the number of nodes in the tree.\"\"\"\n return self.root.size if not self.empty() else 0\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n<class token>\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n <function token>\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n\n @property\n def height(self) ->int:\n \"\"\"Return the height of the tree.\"\"\"\n return self.root.height if not self.empty() else 0\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n<class token>\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n <function token>\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n <function token>\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n\n def remove(self, key: int) ->bool:\n \"\"\"Remove element with such key if it exists in the tree (return True),\n or return False otherwise.\"\"\"\n current = self.root.find(key) if not self.empty() else None\n if current is None:\n return False\n self.root = current.remove()\n return True\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n<class token>\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n\n def __getitem__(self, item: int) ->int:\n \"\"\"Get key by index.\"\"\"\n return self.root[item].key\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n <function token>\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n <function token>\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n <function token>\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n<class token>\n\n\nclass AVLTree:\n\n def __init__(self, root=None):\n self.root: Union[Node, None] = root\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n <function token>\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n <function token>\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n <function token>\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n <function token>\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n<class token>\n\n\nclass AVLTree:\n <function token>\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n <function token>\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n <function token>\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n <function token>\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n\n def find(self, key: int) ->bool:\n \"\"\"Return True if element with such key exists in the tree, otherwise False.\"\"\"\n if self.empty():\n return False\n return self.root.find(key) is not None\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n <function token>\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n<class token>\n\n\nclass AVLTree:\n <function token>\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n <function token>\n\n def empty(self) ->bool:\n \"\"\"Check if the tree is empty.\"\"\"\n return True if self.root is None else False\n <function token>\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n <function token>\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n <function token>\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n <function token>\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n<class token>\n\n\nclass AVLTree:\n <function token>\n\n def __iter__(self):\n \"\"\"In-order traversal of the tree.\"\"\"\n if self.empty():\n return\n for node in self.root:\n yield node.key\n <function token>\n <function token>\n <function token>\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n <function token>\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n <function token>\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n <function token>\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n<class token>\n\n\nclass AVLTree:\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n <function token>\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n <function token>\n\n def insert(self, key: int) ->bool:\n \"\"\"Insert key (create new element) in the tree\n and return True on success or False on failure.\"\"\"\n if self.empty():\n self.root = Node(key)\n return True\n current = self.root\n while current.key != key:\n if key < current.key:\n if current.left is None:\n self.root = current.add_left(key=key)\n return True\n else:\n current = current.left\n elif key > current.key:\n if current.right is None:\n self.root = current.add_right(key=key)\n return True\n else:\n current = current.right\n return False\n <function token>\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n<class token>\n\n\nclass AVLTree:\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n <function token>\n\n def clear(self):\n \"\"\"Clear the tree.\"\"\"\n stack = [self.root]\n while stack:\n node = stack.pop()\n if node is None:\n continue\n node.parent = None\n if node.left is not None:\n stack.append(node.left)\n node.left = None\n if node.right is not None:\n stack.append(node.right)\n node.right = None\n self.root = None\n <function token>\n <function token>\n <function token>\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n<class token>\n\n\nclass AVLTree:\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def segment_sum(self, left, right):\n \"\"\"Compute sum of all tree keys in segment [left, right].\"\"\"\n if self.empty():\n return 0\n less, _ = self.root.split_sums(left)\n _, greater = self.root.split_sums(right)\n return self.sum - less - greater\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n<class token>\n\n\nclass AVLTree:\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n @property\n def sum(self) ->int:\n \"\"\"Return sum of all keys of the tree.\"\"\"\n return self.root.sum\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n<class token>\n\n\nclass AVLTree:\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<function token>\n<code token>\n<function token>\n<function token>\n", "<import token>\n<class token>\n<class token>\n<function token>\n<code token>\n<function token>\n<function token>\n" ]
false
98,659
33ae4dbcd496be438267014506b76bac457aaf55
import time import torch def run_train(config, model, train_loader, eval_loader, writer): optimizer = torch.optim.Adam(model.parameters(), lr=config.lr) scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer, len(train_loader), eta_min=config.lr) training_loss_values = [] validation_loss_values = [] validation_accuracy_values = [] for epoch in range(config.epochs): model.train() print('======== Epoch {:} / {:} ========'.format(epoch + 1, config.epochs)) start_time = time.time() total_loss = 0 for batch_no, batch in enumerate(train_loader): source = batch[0].to(device) target = batch[1].to(device) model.zero_grad() loss, logits = model(source, target) total_loss += loss.item() logits = logits.detach().cpu().numpy() label_ids = target.to('cpu').numpy() loss.backward() optimizer.step() scheduler.step() #Logging the loss and accuracy (below) in Tensorboard avg_train_loss = total_loss / len(train_loader) training_loss_values.append(avg_train_loss) for name, weights in model.named_parameters(): writer.add_histogram(name, weights, epoch) writer.add_scalar('Train/Loss', avg_train_loss, epoch) print("Average training loss: {0:.2f}".format(avg_train_loss)) print("Running Validation...") model.eval() eval_loss, eval_accuracy = 0, 0 nb_eval_steps = 0 for batch_no, batch in enumerate(eval_loader): source = batch[0].to(device) target = batch[1].to(device) with torch.no_grad(): loss, logits = model(source, target) logits = logits.detach().cpu().numpy() label_ids = target.to('cpu').numpy() tmp_eval_accuracy = flat_accuracy(logits, label_ids) eval_accuracy += tmp_eval_accuracy eval_loss += loss nb_eval_steps += 1 avg_valid_acc = eval_accuracy/nb_eval_steps avg_valid_loss = eval_loss/nb_eval_steps validation_loss_values.append(avg_valid_loss) validation_accuracy_values.append(avg_valid_acc) writer.add_scalar('Valid/Loss', avg_valid_loss, epoch) writer.add_scalar('Valid/Accuracy', avg_valid_acc, epoch) writer.flush() print("Avg Val Accuracy: {0:.2f}".format(avg_valid_acc)) print("Average Val Loss: {0:.2f}".format(avg_valid_loss)) print("Time taken by epoch: {0:.2f}".format(time.time() - start_time)) return training_loss_values, validation_loss_values, validation_accuracy_values
[ "import time\nimport torch\n\n\n\n\ndef run_train(config, model, train_loader, eval_loader, writer):\n \n optimizer = torch.optim.Adam(model.parameters(), lr=config.lr)\n scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer, len(train_loader), eta_min=config.lr)\n \n training_loss_values = []\n validation_loss_values = []\n validation_accuracy_values = []\n\n for epoch in range(config.epochs):\n\n model.train()\n\n print('======== Epoch {:} / {:} ========'.format(epoch + 1, config.epochs))\n start_time = time.time()\n\n total_loss = 0\n\n for batch_no, batch in enumerate(train_loader):\n\n source = batch[0].to(device)\n target = batch[1].to(device)\n\n model.zero_grad() \n\n loss, logits = model(source, target)\n total_loss += loss.item()\n \n logits = logits.detach().cpu().numpy()\n label_ids = target.to('cpu').numpy()\n\n loss.backward()\n\n optimizer.step()\n scheduler.step()\n\n #Logging the loss and accuracy (below) in Tensorboard\n avg_train_loss = total_loss / len(train_loader) \n training_loss_values.append(avg_train_loss)\n\n for name, weights in model.named_parameters():\n writer.add_histogram(name, weights, epoch)\n\n writer.add_scalar('Train/Loss', avg_train_loss, epoch)\n\n print(\"Average training loss: {0:.2f}\".format(avg_train_loss))\n print(\"Running Validation...\")\n\n model.eval()\n\n eval_loss, eval_accuracy = 0, 0\n nb_eval_steps = 0\n\n for batch_no, batch in enumerate(eval_loader):\n \n source = batch[0].to(device)\n target = batch[1].to(device)\n \n with torch.no_grad(): \n loss, logits = model(source, target)\n\n logits = logits.detach().cpu().numpy()\n label_ids = target.to('cpu').numpy()\n \n tmp_eval_accuracy = flat_accuracy(logits, label_ids)\n eval_accuracy += tmp_eval_accuracy\n eval_loss += loss\n\n nb_eval_steps += 1\n\n avg_valid_acc = eval_accuracy/nb_eval_steps\n avg_valid_loss = eval_loss/nb_eval_steps\n validation_loss_values.append(avg_valid_loss)\n validation_accuracy_values.append(avg_valid_acc)\n\n writer.add_scalar('Valid/Loss', avg_valid_loss, epoch)\n writer.add_scalar('Valid/Accuracy', avg_valid_acc, epoch)\n writer.flush()\n\n print(\"Avg Val Accuracy: {0:.2f}\".format(avg_valid_acc))\n print(\"Average Val Loss: {0:.2f}\".format(avg_valid_loss))\n print(\"Time taken by epoch: {0:.2f}\".format(time.time() - start_time))\n\n return training_loss_values, validation_loss_values, validation_accuracy_values\n\n\n", "import time\nimport torch\n\n\ndef run_train(config, model, train_loader, eval_loader, writer):\n optimizer = torch.optim.Adam(model.parameters(), lr=config.lr)\n scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer, len(\n train_loader), eta_min=config.lr)\n training_loss_values = []\n validation_loss_values = []\n validation_accuracy_values = []\n for epoch in range(config.epochs):\n model.train()\n print('======== Epoch {:} / {:} ========'.format(epoch + 1, config.\n epochs))\n start_time = time.time()\n total_loss = 0\n for batch_no, batch in enumerate(train_loader):\n source = batch[0].to(device)\n target = batch[1].to(device)\n model.zero_grad()\n loss, logits = model(source, target)\n total_loss += loss.item()\n logits = logits.detach().cpu().numpy()\n label_ids = target.to('cpu').numpy()\n loss.backward()\n optimizer.step()\n scheduler.step()\n avg_train_loss = total_loss / len(train_loader)\n training_loss_values.append(avg_train_loss)\n for name, weights in model.named_parameters():\n writer.add_histogram(name, weights, epoch)\n writer.add_scalar('Train/Loss', avg_train_loss, epoch)\n print('Average training loss: {0:.2f}'.format(avg_train_loss))\n print('Running Validation...')\n model.eval()\n eval_loss, eval_accuracy = 0, 0\n nb_eval_steps = 0\n for batch_no, batch in enumerate(eval_loader):\n source = batch[0].to(device)\n target = batch[1].to(device)\n with torch.no_grad():\n loss, logits = model(source, target)\n logits = logits.detach().cpu().numpy()\n label_ids = target.to('cpu').numpy()\n tmp_eval_accuracy = flat_accuracy(logits, label_ids)\n eval_accuracy += tmp_eval_accuracy\n eval_loss += loss\n nb_eval_steps += 1\n avg_valid_acc = eval_accuracy / nb_eval_steps\n avg_valid_loss = eval_loss / nb_eval_steps\n validation_loss_values.append(avg_valid_loss)\n validation_accuracy_values.append(avg_valid_acc)\n writer.add_scalar('Valid/Loss', avg_valid_loss, epoch)\n writer.add_scalar('Valid/Accuracy', avg_valid_acc, epoch)\n writer.flush()\n print('Avg Val Accuracy: {0:.2f}'.format(avg_valid_acc))\n print('Average Val Loss: {0:.2f}'.format(avg_valid_loss))\n print('Time taken by epoch: {0:.2f}'.format(time.time() - start_time))\n return (training_loss_values, validation_loss_values,\n validation_accuracy_values)\n", "<import token>\n\n\ndef run_train(config, model, train_loader, eval_loader, writer):\n optimizer = torch.optim.Adam(model.parameters(), lr=config.lr)\n scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer, len(\n train_loader), eta_min=config.lr)\n training_loss_values = []\n validation_loss_values = []\n validation_accuracy_values = []\n for epoch in range(config.epochs):\n model.train()\n print('======== Epoch {:} / {:} ========'.format(epoch + 1, config.\n epochs))\n start_time = time.time()\n total_loss = 0\n for batch_no, batch in enumerate(train_loader):\n source = batch[0].to(device)\n target = batch[1].to(device)\n model.zero_grad()\n loss, logits = model(source, target)\n total_loss += loss.item()\n logits = logits.detach().cpu().numpy()\n label_ids = target.to('cpu').numpy()\n loss.backward()\n optimizer.step()\n scheduler.step()\n avg_train_loss = total_loss / len(train_loader)\n training_loss_values.append(avg_train_loss)\n for name, weights in model.named_parameters():\n writer.add_histogram(name, weights, epoch)\n writer.add_scalar('Train/Loss', avg_train_loss, epoch)\n print('Average training loss: {0:.2f}'.format(avg_train_loss))\n print('Running Validation...')\n model.eval()\n eval_loss, eval_accuracy = 0, 0\n nb_eval_steps = 0\n for batch_no, batch in enumerate(eval_loader):\n source = batch[0].to(device)\n target = batch[1].to(device)\n with torch.no_grad():\n loss, logits = model(source, target)\n logits = logits.detach().cpu().numpy()\n label_ids = target.to('cpu').numpy()\n tmp_eval_accuracy = flat_accuracy(logits, label_ids)\n eval_accuracy += tmp_eval_accuracy\n eval_loss += loss\n nb_eval_steps += 1\n avg_valid_acc = eval_accuracy / nb_eval_steps\n avg_valid_loss = eval_loss / nb_eval_steps\n validation_loss_values.append(avg_valid_loss)\n validation_accuracy_values.append(avg_valid_acc)\n writer.add_scalar('Valid/Loss', avg_valid_loss, epoch)\n writer.add_scalar('Valid/Accuracy', avg_valid_acc, epoch)\n writer.flush()\n print('Avg Val Accuracy: {0:.2f}'.format(avg_valid_acc))\n print('Average Val Loss: {0:.2f}'.format(avg_valid_loss))\n print('Time taken by epoch: {0:.2f}'.format(time.time() - start_time))\n return (training_loss_values, validation_loss_values,\n validation_accuracy_values)\n", "<import token>\n<function token>\n" ]
false
98,660
1c05ed5408c071a57b2c0250247d03095747ce96
#!/usr/bin/env python import roslib roslib.load_manifest('spheretrax_example_subscriber') import rospy from spheretrax_ros.msg import SphereTraxData class SubscriberNode(object): def __init__(self): rospy.init_node('example_subscriber') self.sub = rospy.Subscriber('/spheretrax/data',SphereTraxData,self.handle_data) def run(self): rospy.spin() def handle_data(self,data): print data print # ----------------------------------------------------------------------------- if __name__ == '__main__': node = SubscriberNode() node.run()
[ "#!/usr/bin/env python\nimport roslib\nroslib.load_manifest('spheretrax_example_subscriber')\nimport rospy\n\nfrom spheretrax_ros.msg import SphereTraxData\n\nclass SubscriberNode(object):\n\n def __init__(self):\n\n rospy.init_node('example_subscriber')\n self.sub = rospy.Subscriber('/spheretrax/data',SphereTraxData,self.handle_data)\n\n def run(self):\n rospy.spin()\n\n def handle_data(self,data):\n print data\n print\n\n# -----------------------------------------------------------------------------\nif __name__ == '__main__':\n\n node = SubscriberNode()\n node.run()\n" ]
true
98,661
5b469f7e4a1dee801eddbd8f5a6abd189a02c18c
__author__ = 'johan' import argparse from torganizer.setup import get_config, setup, setup_logging parser = argparse.ArgumentParser(description='Torrent Organizer script') parser.add_argument('--config', dest='config_path', action='store', type=str, help='Path to torganizer config yaml') parser.add_argument('--src', dest='src', action='store', type=str, help='Source folder to organize') args = parser.parse_args() config = get_config(args.config_path) setup_logging(config) handler = setup(config, args.src) handler.execute()
[ "__author__ = 'johan'\n\nimport argparse\nfrom torganizer.setup import get_config, setup, setup_logging\n\n\nparser = argparse.ArgumentParser(description='Torrent Organizer script')\nparser.add_argument('--config', dest='config_path', action='store', type=str, help='Path to torganizer config yaml')\nparser.add_argument('--src', dest='src', action='store', type=str, help='Source folder to organize')\nargs = parser.parse_args()\n\nconfig = get_config(args.config_path)\nsetup_logging(config)\nhandler = setup(config, args.src)\nhandler.execute()", "__author__ = 'johan'\nimport argparse\nfrom torganizer.setup import get_config, setup, setup_logging\nparser = argparse.ArgumentParser(description='Torrent Organizer script')\nparser.add_argument('--config', dest='config_path', action='store', type=\n str, help='Path to torganizer config yaml')\nparser.add_argument('--src', dest='src', action='store', type=str, help=\n 'Source folder to organize')\nargs = parser.parse_args()\nconfig = get_config(args.config_path)\nsetup_logging(config)\nhandler = setup(config, args.src)\nhandler.execute()\n", "__author__ = 'johan'\n<import token>\nparser = argparse.ArgumentParser(description='Torrent Organizer script')\nparser.add_argument('--config', dest='config_path', action='store', type=\n str, help='Path to torganizer config yaml')\nparser.add_argument('--src', dest='src', action='store', type=str, help=\n 'Source folder to organize')\nargs = parser.parse_args()\nconfig = get_config(args.config_path)\nsetup_logging(config)\nhandler = setup(config, args.src)\nhandler.execute()\n", "<assignment token>\n<import token>\n<assignment token>\nparser.add_argument('--config', dest='config_path', action='store', type=\n str, help='Path to torganizer config yaml')\nparser.add_argument('--src', dest='src', action='store', type=str, help=\n 'Source folder to organize')\n<assignment token>\nsetup_logging(config)\n<assignment token>\nhandler.execute()\n", "<assignment token>\n<import token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n" ]
false
98,662
4f08e9a3ec9ecc8c35791fabc3c62224e653da85
marks=[66,34,76,55,98,57,63] weights=[45,63,76,89] new_list=marks+weights print("The list after append is:",new_list)
[ "marks=[66,34,76,55,98,57,63]\nweights=[45,63,76,89]\n\nnew_list=marks+weights\nprint(\"The list after append is:\",new_list)", "marks = [66, 34, 76, 55, 98, 57, 63]\nweights = [45, 63, 76, 89]\nnew_list = marks + weights\nprint('The list after append is:', new_list)\n", "<assignment token>\nprint('The list after append is:', new_list)\n", "<assignment token>\n<code token>\n" ]
false
98,663
99c5fade23d60b5af442fde30b3932e5c729d569
from sets import Set class Solution(object): # corner case: "hot", "dog", ["hot","dog","cog","pot","dot"] -> [['hot', 'dot', 'dog']] def findLadders(self, beginWord, endWord, wordlist): """ :type beginWord: str :type endWord: str :type wordlist: Set[str] :rtype: List[List[int]] """ from collections import deque wordlist.add(endWord) wordlist.remove(beginWord) prev_dict = {beginWord:[]} current = [beginWord] res = [] while len(wordlist) > 0 or endWord in current: #print wordlist if endWord in current: #print prev_dict self.getResult(prev_dict,endWord,deque(),res) return res new_reachable = {} for word in current: for i in xrange(len(word)): for ch in 'abcdefghijklmnopqrstuvwxyz': if ch != word[i] and word[:i]+ch+word[i+1:] in wordlist: new_word = word[:i]+ch+word[i+1:] if new_word in new_reachable: new_reachable[new_word].append(word) else: new_reachable[new_word] = [word] #print new_reachable for new_word in new_reachable: wordlist.remove(new_word) prev_dict.update(new_reachable) current = new_reachable.keys() #print current,prev_dict if not current: break return res def getResult(self,prev_dict,current_word,current_seq,res): current_seq.appendleft(current_word) if not prev_dict[current_word]: res.append(list(current_seq)) current_seq.popleft() return for word in prev_dict[current_word]: self.getResult(prev_dict,word,current_seq,res) current_seq.popleft() sol = Solution() #{'hot': ['pot', 'dot'], 'pot': ['hot'], 'dot': ['hot'], 'dog': ['dot']} print sol.findLadders("a","c", Set(["a","b",'c']))
[ "from sets import Set\nclass Solution(object):\n # corner case: \"hot\", \"dog\", [\"hot\",\"dog\",\"cog\",\"pot\",\"dot\"] -> [['hot', 'dot', 'dog']]\n def findLadders(self, beginWord, endWord, wordlist):\n \"\"\"\n :type beginWord: str\n :type endWord: str\n :type wordlist: Set[str]\n :rtype: List[List[int]]\n \"\"\"\n from collections import deque\n wordlist.add(endWord)\n wordlist.remove(beginWord)\n prev_dict = {beginWord:[]}\n current = [beginWord]\n res = []\n while len(wordlist) > 0 or endWord in current:\n #print wordlist\n if endWord in current:\n #print prev_dict\n self.getResult(prev_dict,endWord,deque(),res)\n return res\n new_reachable = {}\n for word in current:\n for i in xrange(len(word)):\n for ch in 'abcdefghijklmnopqrstuvwxyz':\n if ch != word[i] and word[:i]+ch+word[i+1:] in wordlist:\n new_word = word[:i]+ch+word[i+1:]\n if new_word in new_reachable:\n new_reachable[new_word].append(word)\n else:\n new_reachable[new_word] = [word]\n #print new_reachable\n for new_word in new_reachable:\n wordlist.remove(new_word)\n prev_dict.update(new_reachable)\n current = new_reachable.keys()\n #print current,prev_dict\n if not current:\n break\n return res\n \n def getResult(self,prev_dict,current_word,current_seq,res):\n current_seq.appendleft(current_word)\n if not prev_dict[current_word]:\n res.append(list(current_seq))\n current_seq.popleft()\n return\n for word in prev_dict[current_word]:\n self.getResult(prev_dict,word,current_seq,res)\n current_seq.popleft()\n \nsol = Solution()\n#{'hot': ['pot', 'dot'], 'pot': ['hot'], 'dot': ['hot'], 'dog': ['dot']}\nprint sol.findLadders(\"a\",\"c\", Set([\"a\",\"b\",'c']))\n\n" ]
true
98,664
6f3227faa7fc9b7e9123acf66fa57d346d576442
from tensorflow.keras import Model, Input, regularizers from tensorflow.keras.layers import Dense, Conv2D, MaxPool2D, UpSampling2D, Add, Dropout from tensorflow.keras.backend import clear_session from tensorflow.keras import Sequential def Autoencoder(img_shape = (256, 256, 3)): clear_session() Input_img = Input(shape=img_shape) #encoding architecture x1 = Conv2D(64, (3, 3), activation='relu', padding='same', kernel_regularizer=regularizers.l1(10e-10))(Input_img) x2 = Conv2D(64, (3, 3), activation='relu', padding='same', kernel_regularizer=regularizers.l1(10e-10))(x1) x3 = MaxPool2D(padding='same')(x2) x4 = Conv2D(128, (3, 3), activation='relu', padding='same', kernel_regularizer=regularizers.l1(10e-10))(x3) x5 = Conv2D(128, (3, 3), activation='relu', padding='same', kernel_regularizer=regularizers.l1(10e-10))(x4) x6 = MaxPool2D(padding='same')(x5) encoded = Conv2D(256, (3, 3), activation='relu', padding='same', kernel_regularizer=regularizers.l1(10e-10))(x6) #encoded = Conv2D(64, (3, 3), activation='relu', padding='same')(x2) # decoding architecture x7 = UpSampling2D()(encoded) x8 = Conv2D(128, (3, 3), activation='relu', padding='same', kernel_regularizer=regularizers.l1(10e-10))(x7) x9 = Conv2D(128, (3, 3), activation='relu', padding='same', kernel_regularizer=regularizers.l1(10e-10))(x8) x10 = Add()([x5, x9]) x11 = UpSampling2D()(x10) x12 = Conv2D(64, (3, 3), activation='relu', padding='same', kernel_regularizer=regularizers.l1(10e-10))(x11) x13 = Conv2D(64, (3, 3), activation='relu', padding='same', kernel_regularizer=regularizers.l1(10e-10))(x12) x14 = Add()([x2, x13]) # x3 = UpSampling2D((2, 2))(x3) # x2 = Conv2D(128, (3, 3), activation='relu', padding='same')(x3) # x1 = Conv2D(256, (3, 3), activation='relu', padding='same')(x2) decoded = Conv2D(3, (3, 3), padding='same',activation='relu', kernel_regularizer=regularizers.l1(10e-10))(x14) autoencoder = Model(Input_img, decoded) return autoencoder def SRCNN(img_shape = (256, 256, 3)): model = Sequential() model.add(Conv2D(32, 9, activation="relu", input_shape=img_shape, padding="same")) model.add(Conv2D(16, 5, activation="relu", padding="same")) model.add(Conv2D(3, 5, activation="relu", padding="same")) return model
[ "from tensorflow.keras import Model, Input, regularizers\nfrom tensorflow.keras.layers import Dense, Conv2D, MaxPool2D, UpSampling2D, Add, Dropout\nfrom tensorflow.keras.backend import clear_session\nfrom tensorflow.keras import Sequential\n\ndef Autoencoder(img_shape = (256, 256, 3)):\n clear_session()\n\n Input_img = Input(shape=img_shape) \n\n #encoding architecture\n x1 = Conv2D(64, (3, 3), activation='relu', padding='same', kernel_regularizer=regularizers.l1(10e-10))(Input_img)\n x2 = Conv2D(64, (3, 3), activation='relu', padding='same', kernel_regularizer=regularizers.l1(10e-10))(x1)\n x3 = MaxPool2D(padding='same')(x2)\n x4 = Conv2D(128, (3, 3), activation='relu', padding='same', kernel_regularizer=regularizers.l1(10e-10))(x3)\n x5 = Conv2D(128, (3, 3), activation='relu', padding='same', kernel_regularizer=regularizers.l1(10e-10))(x4)\n x6 = MaxPool2D(padding='same')(x5)\n\n encoded = Conv2D(256, (3, 3), activation='relu', padding='same', kernel_regularizer=regularizers.l1(10e-10))(x6)\n #encoded = Conv2D(64, (3, 3), activation='relu', padding='same')(x2)\n # decoding architecture\n x7 = UpSampling2D()(encoded)\n x8 = Conv2D(128, (3, 3), activation='relu', padding='same', kernel_regularizer=regularizers.l1(10e-10))(x7)\n x9 = Conv2D(128, (3, 3), activation='relu', padding='same', kernel_regularizer=regularizers.l1(10e-10))(x8)\n x10 = Add()([x5, x9])\n x11 = UpSampling2D()(x10)\n x12 = Conv2D(64, (3, 3), activation='relu', padding='same', kernel_regularizer=regularizers.l1(10e-10))(x11)\n x13 = Conv2D(64, (3, 3), activation='relu', padding='same', kernel_regularizer=regularizers.l1(10e-10))(x12)\n x14 = Add()([x2, x13])\n # x3 = UpSampling2D((2, 2))(x3)\n # x2 = Conv2D(128, (3, 3), activation='relu', padding='same')(x3)\n # x1 = Conv2D(256, (3, 3), activation='relu', padding='same')(x2)\n decoded = Conv2D(3, (3, 3), padding='same',activation='relu', kernel_regularizer=regularizers.l1(10e-10))(x14)\n autoencoder = Model(Input_img, decoded)\n return autoencoder\n\ndef SRCNN(img_shape = (256, 256, 3)):\n model = Sequential()\n model.add(Conv2D(32, 9, activation=\"relu\", input_shape=img_shape, padding=\"same\"))\n model.add(Conv2D(16, 5, activation=\"relu\", padding=\"same\"))\n model.add(Conv2D(3, 5, activation=\"relu\", padding=\"same\"))\n return model", "from tensorflow.keras import Model, Input, regularizers\nfrom tensorflow.keras.layers import Dense, Conv2D, MaxPool2D, UpSampling2D, Add, Dropout\nfrom tensorflow.keras.backend import clear_session\nfrom tensorflow.keras import Sequential\n\n\ndef Autoencoder(img_shape=(256, 256, 3)):\n clear_session()\n Input_img = Input(shape=img_shape)\n x1 = Conv2D(64, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(Input_img)\n x2 = Conv2D(64, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x1)\n x3 = MaxPool2D(padding='same')(x2)\n x4 = Conv2D(128, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x3)\n x5 = Conv2D(128, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x4)\n x6 = MaxPool2D(padding='same')(x5)\n encoded = Conv2D(256, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x6)\n x7 = UpSampling2D()(encoded)\n x8 = Conv2D(128, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x7)\n x9 = Conv2D(128, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x8)\n x10 = Add()([x5, x9])\n x11 = UpSampling2D()(x10)\n x12 = Conv2D(64, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x11)\n x13 = Conv2D(64, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x12)\n x14 = Add()([x2, x13])\n decoded = Conv2D(3, (3, 3), padding='same', activation='relu',\n kernel_regularizer=regularizers.l1(1e-09))(x14)\n autoencoder = Model(Input_img, decoded)\n return autoencoder\n\n\ndef SRCNN(img_shape=(256, 256, 3)):\n model = Sequential()\n model.add(Conv2D(32, 9, activation='relu', input_shape=img_shape,\n padding='same'))\n model.add(Conv2D(16, 5, activation='relu', padding='same'))\n model.add(Conv2D(3, 5, activation='relu', padding='same'))\n return model\n", "<import token>\n\n\ndef Autoencoder(img_shape=(256, 256, 3)):\n clear_session()\n Input_img = Input(shape=img_shape)\n x1 = Conv2D(64, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(Input_img)\n x2 = Conv2D(64, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x1)\n x3 = MaxPool2D(padding='same')(x2)\n x4 = Conv2D(128, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x3)\n x5 = Conv2D(128, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x4)\n x6 = MaxPool2D(padding='same')(x5)\n encoded = Conv2D(256, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x6)\n x7 = UpSampling2D()(encoded)\n x8 = Conv2D(128, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x7)\n x9 = Conv2D(128, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x8)\n x10 = Add()([x5, x9])\n x11 = UpSampling2D()(x10)\n x12 = Conv2D(64, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x11)\n x13 = Conv2D(64, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x12)\n x14 = Add()([x2, x13])\n decoded = Conv2D(3, (3, 3), padding='same', activation='relu',\n kernel_regularizer=regularizers.l1(1e-09))(x14)\n autoencoder = Model(Input_img, decoded)\n return autoencoder\n\n\ndef SRCNN(img_shape=(256, 256, 3)):\n model = Sequential()\n model.add(Conv2D(32, 9, activation='relu', input_shape=img_shape,\n padding='same'))\n model.add(Conv2D(16, 5, activation='relu', padding='same'))\n model.add(Conv2D(3, 5, activation='relu', padding='same'))\n return model\n", "<import token>\n\n\ndef Autoencoder(img_shape=(256, 256, 3)):\n clear_session()\n Input_img = Input(shape=img_shape)\n x1 = Conv2D(64, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(Input_img)\n x2 = Conv2D(64, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x1)\n x3 = MaxPool2D(padding='same')(x2)\n x4 = Conv2D(128, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x3)\n x5 = Conv2D(128, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x4)\n x6 = MaxPool2D(padding='same')(x5)\n encoded = Conv2D(256, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x6)\n x7 = UpSampling2D()(encoded)\n x8 = Conv2D(128, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x7)\n x9 = Conv2D(128, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x8)\n x10 = Add()([x5, x9])\n x11 = UpSampling2D()(x10)\n x12 = Conv2D(64, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x11)\n x13 = Conv2D(64, (3, 3), activation='relu', padding='same',\n kernel_regularizer=regularizers.l1(1e-09))(x12)\n x14 = Add()([x2, x13])\n decoded = Conv2D(3, (3, 3), padding='same', activation='relu',\n kernel_regularizer=regularizers.l1(1e-09))(x14)\n autoencoder = Model(Input_img, decoded)\n return autoencoder\n\n\n<function token>\n", "<import token>\n<function token>\n<function token>\n" ]
false
98,665
63f52037847d18fd4208be751561adaf4e06d22e
class Solution: def twoSum(self, numbers, target): res = [] first_index = 0 last_index = len(numbers)-1 for i in range(len(numbers)): if numbers[i] > target: last_index = i break while first_index < last_index: if numbers[first_index]+numbers[last_index] == target: res.append(first_index+1) res.append(last_index+1) break elif numbers[first_index] + numbers[last_index] < target: first_index += 1 else: last_index -= 1 return res if __name__ == "__main__": nums = [2, 7, 11, 15] target = 9 print(Solution().twoSum(nums, target))
[ "class Solution:\n def twoSum(self, numbers, target):\n res = []\n first_index = 0\n last_index = len(numbers)-1\n for i in range(len(numbers)):\n if numbers[i] > target:\n last_index = i\n break\n while first_index < last_index:\n if numbers[first_index]+numbers[last_index] == target:\n res.append(first_index+1)\n res.append(last_index+1)\n break\n elif numbers[first_index] + numbers[last_index] < target:\n first_index += 1\n else:\n last_index -= 1\n return res\n\n\nif __name__ == \"__main__\":\n nums = [2, 7, 11, 15]\n target = 9\n print(Solution().twoSum(nums, target))\n", "class Solution:\n\n def twoSum(self, numbers, target):\n res = []\n first_index = 0\n last_index = len(numbers) - 1\n for i in range(len(numbers)):\n if numbers[i] > target:\n last_index = i\n break\n while first_index < last_index:\n if numbers[first_index] + numbers[last_index] == target:\n res.append(first_index + 1)\n res.append(last_index + 1)\n break\n elif numbers[first_index] + numbers[last_index] < target:\n first_index += 1\n else:\n last_index -= 1\n return res\n\n\nif __name__ == '__main__':\n nums = [2, 7, 11, 15]\n target = 9\n print(Solution().twoSum(nums, target))\n", "class Solution:\n\n def twoSum(self, numbers, target):\n res = []\n first_index = 0\n last_index = len(numbers) - 1\n for i in range(len(numbers)):\n if numbers[i] > target:\n last_index = i\n break\n while first_index < last_index:\n if numbers[first_index] + numbers[last_index] == target:\n res.append(first_index + 1)\n res.append(last_index + 1)\n break\n elif numbers[first_index] + numbers[last_index] < target:\n first_index += 1\n else:\n last_index -= 1\n return res\n\n\n<code token>\n", "class Solution:\n <function token>\n\n\n<code token>\n", "<class token>\n<code token>\n" ]
false
98,666
207aa206d17ba094978067953c4a4ba59311545e
import unittest from utils.channel_access import ChannelAccess from utils.ioc_launcher import get_default_ioc_dir from utils.test_modes import TestModes from utils.testing import get_running_lewis_and_ioc, skip_if_recsim DEVICE_PREFIX = "LINKAM95_01" EMULATOR_NAME = "linkam_t95" IOCS = [ { "name": DEVICE_PREFIX, "directory": get_default_ioc_dir("LINKAM95"), "macros": {}, "emulator": EMULATOR_NAME, "lewis_package": None }, ] TEST_MODES = [TestModes.DEVSIM] class Linkam95Tests(unittest.TestCase): """ Tests for the Linkam95 IOC. """ def setUp(self): self._lewis, self._ioc = get_running_lewis_and_ioc(EMULATOR_NAME, DEVICE_PREFIX) self.ca = ChannelAccess(device_prefix=DEVICE_PREFIX) def test_GIVEN_a_valid_temperature_to_set_WHEN_set_THEN_display_temperature_is_valid_temperature(self): expected_temp = 10 self._lewis.backdoor_set_on_device("temperature", expected_temp) self.ca.assert_that_pv_is("TEMP", expected_temp)
[ "import unittest\n\nfrom utils.channel_access import ChannelAccess\nfrom utils.ioc_launcher import get_default_ioc_dir\nfrom utils.test_modes import TestModes\nfrom utils.testing import get_running_lewis_and_ioc, skip_if_recsim\n\n\nDEVICE_PREFIX = \"LINKAM95_01\"\n\nEMULATOR_NAME = \"linkam_t95\"\nIOCS = [\n {\n \"name\": DEVICE_PREFIX,\n \"directory\": get_default_ioc_dir(\"LINKAM95\"),\n \"macros\": {},\n \"emulator\": EMULATOR_NAME,\n \"lewis_package\": None\n },\n]\n\nTEST_MODES = [TestModes.DEVSIM]\n\n\nclass Linkam95Tests(unittest.TestCase):\n \"\"\"\n Tests for the Linkam95 IOC.\n \"\"\"\n def setUp(self):\n self._lewis, self._ioc = get_running_lewis_and_ioc(EMULATOR_NAME, DEVICE_PREFIX)\n self.ca = ChannelAccess(device_prefix=DEVICE_PREFIX)\n\n def test_GIVEN_a_valid_temperature_to_set_WHEN_set_THEN_display_temperature_is_valid_temperature(self):\n\n expected_temp = 10\n\n self._lewis.backdoor_set_on_device(\"temperature\", expected_temp)\n\n self.ca.assert_that_pv_is(\"TEMP\", expected_temp)\n", "import unittest\nfrom utils.channel_access import ChannelAccess\nfrom utils.ioc_launcher import get_default_ioc_dir\nfrom utils.test_modes import TestModes\nfrom utils.testing import get_running_lewis_and_ioc, skip_if_recsim\nDEVICE_PREFIX = 'LINKAM95_01'\nEMULATOR_NAME = 'linkam_t95'\nIOCS = [{'name': DEVICE_PREFIX, 'directory': get_default_ioc_dir('LINKAM95'\n ), 'macros': {}, 'emulator': EMULATOR_NAME, 'lewis_package': None}]\nTEST_MODES = [TestModes.DEVSIM]\n\n\nclass Linkam95Tests(unittest.TestCase):\n \"\"\"\n Tests for the Linkam95 IOC.\n \"\"\"\n\n def setUp(self):\n self._lewis, self._ioc = get_running_lewis_and_ioc(EMULATOR_NAME,\n DEVICE_PREFIX)\n self.ca = ChannelAccess(device_prefix=DEVICE_PREFIX)\n\n def test_GIVEN_a_valid_temperature_to_set_WHEN_set_THEN_display_temperature_is_valid_temperature(\n self):\n expected_temp = 10\n self._lewis.backdoor_set_on_device('temperature', expected_temp)\n self.ca.assert_that_pv_is('TEMP', expected_temp)\n", "<import token>\nDEVICE_PREFIX = 'LINKAM95_01'\nEMULATOR_NAME = 'linkam_t95'\nIOCS = [{'name': DEVICE_PREFIX, 'directory': get_default_ioc_dir('LINKAM95'\n ), 'macros': {}, 'emulator': EMULATOR_NAME, 'lewis_package': None}]\nTEST_MODES = [TestModes.DEVSIM]\n\n\nclass Linkam95Tests(unittest.TestCase):\n \"\"\"\n Tests for the Linkam95 IOC.\n \"\"\"\n\n def setUp(self):\n self._lewis, self._ioc = get_running_lewis_and_ioc(EMULATOR_NAME,\n DEVICE_PREFIX)\n self.ca = ChannelAccess(device_prefix=DEVICE_PREFIX)\n\n def test_GIVEN_a_valid_temperature_to_set_WHEN_set_THEN_display_temperature_is_valid_temperature(\n self):\n expected_temp = 10\n self._lewis.backdoor_set_on_device('temperature', expected_temp)\n self.ca.assert_that_pv_is('TEMP', expected_temp)\n", "<import token>\n<assignment token>\n\n\nclass Linkam95Tests(unittest.TestCase):\n \"\"\"\n Tests for the Linkam95 IOC.\n \"\"\"\n\n def setUp(self):\n self._lewis, self._ioc = get_running_lewis_and_ioc(EMULATOR_NAME,\n DEVICE_PREFIX)\n self.ca = ChannelAccess(device_prefix=DEVICE_PREFIX)\n\n def test_GIVEN_a_valid_temperature_to_set_WHEN_set_THEN_display_temperature_is_valid_temperature(\n self):\n expected_temp = 10\n self._lewis.backdoor_set_on_device('temperature', expected_temp)\n self.ca.assert_that_pv_is('TEMP', expected_temp)\n", "<import token>\n<assignment token>\n\n\nclass Linkam95Tests(unittest.TestCase):\n <docstring token>\n\n def setUp(self):\n self._lewis, self._ioc = get_running_lewis_and_ioc(EMULATOR_NAME,\n DEVICE_PREFIX)\n self.ca = ChannelAccess(device_prefix=DEVICE_PREFIX)\n\n def test_GIVEN_a_valid_temperature_to_set_WHEN_set_THEN_display_temperature_is_valid_temperature(\n self):\n expected_temp = 10\n self._lewis.backdoor_set_on_device('temperature', expected_temp)\n self.ca.assert_that_pv_is('TEMP', expected_temp)\n", "<import token>\n<assignment token>\n\n\nclass Linkam95Tests(unittest.TestCase):\n <docstring token>\n <function token>\n\n def test_GIVEN_a_valid_temperature_to_set_WHEN_set_THEN_display_temperature_is_valid_temperature(\n self):\n expected_temp = 10\n self._lewis.backdoor_set_on_device('temperature', expected_temp)\n self.ca.assert_that_pv_is('TEMP', expected_temp)\n", "<import token>\n<assignment token>\n\n\nclass Linkam95Tests(unittest.TestCase):\n <docstring token>\n <function token>\n <function token>\n", "<import token>\n<assignment token>\n<class token>\n" ]
false
98,667
a84fbed45178bd97031cd702412181ff155b5560
import sys def ts2datetime(timeStamp): import time try: timeStamp = int(timeStamp) timeArray = time.localtime(timeStamp) timet = time.strftime("%Y-%m-%d %H:%M:%S", timeArray) return timet except Exception,e: return "" print "[" for line in sys.stdin: if not line: break line = line.strip().split("\t") if len(line) != 4: break uid, ts, lat, lng, = line datet = ts2datetime(ts) print "{\"id\":\"%s\", \"time\":\"%s\", \"lat\":%s, \"lng\":%s}," % (uid, datet, lat, lng) print "{}]"
[ "import sys\n\ndef ts2datetime(timeStamp):\n import time \n try:\n timeStamp = int(timeStamp)\n timeArray = time.localtime(timeStamp)\n timet = time.strftime(\"%Y-%m-%d %H:%M:%S\", timeArray)\n return timet\n except Exception,e:\n return \"\"\n\n\nprint \"[\"\nfor line in sys.stdin:\n if not line:\n break\n line = line.strip().split(\"\\t\")\n if len(line) != 4: break\n uid, ts, lat, lng, = line\n datet = ts2datetime(ts)\n\n print \"{\\\"id\\\":\\\"%s\\\", \\\"time\\\":\\\"%s\\\", \\\"lat\\\":%s, \\\"lng\\\":%s},\" % (uid, datet, lat, lng)\nprint \"{}]\"\n\n" ]
true
98,668
4285374432cf1d8ad61812a892895c2160aaaa50
import os from copy import deepcopy from py_osm_cluster.util.coords import Coords as Coords from py_osm_cluster.cluster import scikit from py_osm_cluster.cluster import partitioning from py_osm_cluster.eval import comparative as comparative from py_osm_cluster.eval import standalone as standalone from py_osm_cluster.cluster import hierarchical import py_osm_cluster.util.statistic as statistic import py_osm_cluster.visualisation.visualisation as visu import py_osm_cluster.visualisation.animation as anim import matplotlib.pyplot as plt class GeneralTest: def __init__(self): self.current_object = None self.current_rand_harvest = [] """ compresses the list of dictionaries into dictionary of lists""" def compress_dicts(self,dictionary_list): out = {x:[] for x in dictionary_list[0]} for i in dictionary_list: for k in out: out[k].append(i[k]) return out def harvest_rand_index(self,data_obj): self.current_rand_harvest.append(comparative.scikit_rand_index(data_obj,self.current_object)) #print("harvesting") def test_data_object(self,file,n_of_tests,function,function_kwargs): function_kwargs["on_step"]=self.harvest_rand_index #function_kwargs["iterations"]=15 data_obj = Coords() data_obj.read_file(file) self.current_object = data_obj r_initial_standalone_dict = standalone.standard_scores_dict(data_obj) #r_initial_general_data_dict = standalone.general_evaluate_clustered_object(data_obj) r_standalone =[] r_comparative =[] r_rand_indexes = [] for i in range(n_of_tests): self.current_rand_harvest=[] temp_data_obj = deepcopy(data_obj) temp_data_obj= function(data_obj,**function_kwargs) #print(self.current_rand_harvest) r_rand_indexes.append(self.current_rand_harvest) #plt.plot(self.current_rand_harvest) #plt.show() r_standalone.append(standalone.standard_scores_dict(temp_data_obj)) r_comparative.append(comparative.scikit_all_scores_dict(temp_data_obj,self.current_object)) #print(r_standalone) #print(r_comparative) out = {"rand_indexes":r_rand_indexes,"initial_standalone":r_initial_standalone_dict} #print(r_rand_indexes) out.update(self.compress_dicts(r_standalone)) out.update(self.compress_dicts(r_comparative)) return out #"initial_general":r_initial_general_data_dict def test_data_set(self,folder_name,n_of_tests,function,function_kwargs): files = [folder_name+"/"+i for i in list(os.listdir(folder_name))] out =[] for i in files: print("investigating file:"+i) out.append(self.test_data_object(i,n_of_tests,function,function_kwargs)) return out def compile_data(self,test_data_out): data = self.compress_dicts(test_data_out) data["initial_standalone"] = self.compress_dicts(data["initial_standalone"]) data["rand_indexes"] = [i for sublist in data["rand_indexes"] for i in sublist] return data def calculate_avg_stdev(self,compiled_data): out={} #print(compiled_data["rand_indexes"]) out["rand_indexes"] = list(zip(*compiled_data["rand_indexes"])) out["rand_indexes"] = [statistic.stdev_avg(x) for x in out["rand_indexes"]] print(out["rand_indexes"]) #out["initial_standalone"] = [statistic.stdev_avg(x) for x in out["rand_indexes"]] for i in compiled_data: if i is not "rand_indexes" and i is not "initial_standalone": out[i] = [item for sublist in compiled_data[i] for item in sublist] #print(out[i]) out[i] = statistic.stdev_avg(out[i]) out["initial_standalone"] = {k:statistic.stdev_avg(compiled_data["initial_standalone"][k]) for k in compiled_data["initial_standalone"]} return out; def execute(self,folder_name,n_of_tests,function,params): data = self.compile_data(self.test_data_set(folder_name,n_of_tests,function,params)) return (data,self.calculate_avg_stdev(data)) import py_osm_cluster def test_multiple_datasets(main_folder,n_of_tests,function,params): short_folders = list(os.listdir(main_folder)) #folders = [main_folder+"/"+i for i in list(os.listdir(main_folder))] gt = GeneralTest() for i in short_folders: unexpected= True while unexpected: try: full_folder =main_folder+"/"+i data = gt.execute(full_folder,n_of_tests,function,params) #visu.lineplot(data[1]["rand_indexes"],i) plt.plot([ i[1] for i in data[1]["rand_indexes"]],label=i) f = open("output_for:"+i,"w") f.write(str(data[1])) unexpected = False except ZeroDivisionError: unexpected = True plt.xlabel("iteration") plt.ylabel("Rand index") plt.legend(loc='lower right') plt.show()
[ "import os\nfrom copy import deepcopy\nfrom py_osm_cluster.util.coords import Coords as Coords\nfrom py_osm_cluster.cluster import scikit\nfrom py_osm_cluster.cluster import partitioning\n\nfrom py_osm_cluster.eval import comparative as comparative\nfrom py_osm_cluster.eval import standalone as standalone\nfrom py_osm_cluster.cluster import hierarchical\n\nimport py_osm_cluster.util.statistic as statistic\n\nimport py_osm_cluster.visualisation.visualisation as visu\nimport py_osm_cluster.visualisation.animation as anim\nimport matplotlib.pyplot as plt\n\n\n\nclass GeneralTest:\n\tdef __init__(self):\n\t\tself.current_object = None\n\t\tself.current_rand_harvest = []\n\n\t\"\"\" compresses the list of dictionaries into dictionary of lists\"\"\"\n\tdef compress_dicts(self,dictionary_list):\n\t\tout = {x:[] for x in dictionary_list[0]}\n\t\tfor i in dictionary_list:\n\t\t\tfor k in out:\n\t\t\t\tout[k].append(i[k])\n\t\treturn out\n\tdef harvest_rand_index(self,data_obj):\n\t\tself.current_rand_harvest.append(comparative.scikit_rand_index(data_obj,self.current_object))\n\t\t#print(\"harvesting\")\n\n\tdef test_data_object(self,file,n_of_tests,function,function_kwargs):\n\t\tfunction_kwargs[\"on_step\"]=self.harvest_rand_index\n\t\t#function_kwargs[\"iterations\"]=15\n\t\tdata_obj = Coords()\n\t\tdata_obj.read_file(file)\n\t\tself.current_object = data_obj\n\n\t\tr_initial_standalone_dict = standalone.standard_scores_dict(data_obj)\n\t\t#r_initial_general_data_dict = standalone.general_evaluate_clustered_object(data_obj)\n\t\tr_standalone =[]\n\t\tr_comparative =[]\n\t\tr_rand_indexes = []\n\t\tfor i in range(n_of_tests):\n\t\t\tself.current_rand_harvest=[]\n\t\t\ttemp_data_obj = deepcopy(data_obj)\n\t\t\ttemp_data_obj= function(data_obj,**function_kwargs)\n\t\t\t#print(self.current_rand_harvest)\n\t\t\tr_rand_indexes.append(self.current_rand_harvest)\n\t\t\t#plt.plot(self.current_rand_harvest)\n\t\t\t#plt.show()\n\t\t\tr_standalone.append(standalone.standard_scores_dict(temp_data_obj))\n\t\t\tr_comparative.append(comparative.scikit_all_scores_dict(temp_data_obj,self.current_object))\n\t\t#print(r_standalone)\n\t\t#print(r_comparative)\n\t\tout = {\"rand_indexes\":r_rand_indexes,\"initial_standalone\":r_initial_standalone_dict}\n\t\t#print(r_rand_indexes)\n\t\tout.update(self.compress_dicts(r_standalone))\n\t\tout.update(self.compress_dicts(r_comparative))\n\t\treturn out\n#\"initial_general\":r_initial_general_data_dict\n\n\tdef test_data_set(self,folder_name,n_of_tests,function,function_kwargs):\n\t\tfiles = [folder_name+\"/\"+i for i in list(os.listdir(folder_name))]\n\t\tout =[]\n\t\tfor i in files:\n\t\t\tprint(\"investigating file:\"+i)\n\t\t\tout.append(self.test_data_object(i,n_of_tests,function,function_kwargs))\n\t\treturn out\n\n\tdef compile_data(self,test_data_out):\n\t\tdata = self.compress_dicts(test_data_out)\n\t\tdata[\"initial_standalone\"] = self.compress_dicts(data[\"initial_standalone\"])\n\t\tdata[\"rand_indexes\"] = [i for sublist in data[\"rand_indexes\"] for i in sublist]\n\t\treturn data\n\n\tdef calculate_avg_stdev(self,compiled_data):\n\t\tout={}\n\t\t#print(compiled_data[\"rand_indexes\"])\n\t\tout[\"rand_indexes\"] = list(zip(*compiled_data[\"rand_indexes\"]))\n\t\tout[\"rand_indexes\"] = [statistic.stdev_avg(x) for x in out[\"rand_indexes\"]]\n\t\tprint(out[\"rand_indexes\"])\n\n\n\t\t#out[\"initial_standalone\"] = [statistic.stdev_avg(x) for x in out[\"rand_indexes\"]]\n\t\tfor i in compiled_data:\n\t\t\tif i is not \"rand_indexes\" and i is not \"initial_standalone\":\n\t\t\t\tout[i] = [item for sublist in compiled_data[i] for item in sublist]\n\t\t\t\t#print(out[i])\n\t\t\t\tout[i] = statistic.stdev_avg(out[i])\n\t\tout[\"initial_standalone\"] = {k:statistic.stdev_avg(compiled_data[\"initial_standalone\"][k]) for k in compiled_data[\"initial_standalone\"]}\n\t\treturn out;\n\n\n\tdef execute(self,folder_name,n_of_tests,function,params):\n\t\tdata = self.compile_data(self.test_data_set(folder_name,n_of_tests,function,params))\n\t\treturn (data,self.calculate_avg_stdev(data))\n\nimport py_osm_cluster\ndef test_multiple_datasets(main_folder,n_of_tests,function,params):\n\tshort_folders = list(os.listdir(main_folder))\n\t#folders = [main_folder+\"/\"+i for i in list(os.listdir(main_folder))]\n\tgt = GeneralTest()\n\tfor i in short_folders:\n\t\tunexpected= True\n\t\twhile unexpected:\n\t\t\ttry:\n\t\t\t\tfull_folder =main_folder+\"/\"+i\n\t\t\t\tdata = gt.execute(full_folder,n_of_tests,function,params)\n\t\t\t\t#visu.lineplot(data[1][\"rand_indexes\"],i)\n\t\t\t\tplt.plot([ i[1] for i in data[1][\"rand_indexes\"]],label=i)\n\t\t\t\tf = open(\"output_for:\"+i,\"w\")\n\t\t\t\tf.write(str(data[1]))\n\t\t\t\tunexpected = False\n\t\t\texcept ZeroDivisionError:\n\t\t\t\tunexpected = True\n\tplt.xlabel(\"iteration\")\n\tplt.ylabel(\"Rand index\")\n\tplt.legend(loc='lower right')\n\tplt.show()\n", "import os\nfrom copy import deepcopy\nfrom py_osm_cluster.util.coords import Coords as Coords\nfrom py_osm_cluster.cluster import scikit\nfrom py_osm_cluster.cluster import partitioning\nfrom py_osm_cluster.eval import comparative as comparative\nfrom py_osm_cluster.eval import standalone as standalone\nfrom py_osm_cluster.cluster import hierarchical\nimport py_osm_cluster.util.statistic as statistic\nimport py_osm_cluster.visualisation.visualisation as visu\nimport py_osm_cluster.visualisation.animation as anim\nimport matplotlib.pyplot as plt\n\n\nclass GeneralTest:\n\n def __init__(self):\n self.current_object = None\n self.current_rand_harvest = []\n \"\"\" compresses the list of dictionaries into dictionary of lists\"\"\"\n\n def compress_dicts(self, dictionary_list):\n out = {x: [] for x in dictionary_list[0]}\n for i in dictionary_list:\n for k in out:\n out[k].append(i[k])\n return out\n\n def harvest_rand_index(self, data_obj):\n self.current_rand_harvest.append(comparative.scikit_rand_index(\n data_obj, self.current_object))\n\n def test_data_object(self, file, n_of_tests, function, function_kwargs):\n function_kwargs['on_step'] = self.harvest_rand_index\n data_obj = Coords()\n data_obj.read_file(file)\n self.current_object = data_obj\n r_initial_standalone_dict = standalone.standard_scores_dict(data_obj)\n r_standalone = []\n r_comparative = []\n r_rand_indexes = []\n for i in range(n_of_tests):\n self.current_rand_harvest = []\n temp_data_obj = deepcopy(data_obj)\n temp_data_obj = function(data_obj, **function_kwargs)\n r_rand_indexes.append(self.current_rand_harvest)\n r_standalone.append(standalone.standard_scores_dict(temp_data_obj))\n r_comparative.append(comparative.scikit_all_scores_dict(\n temp_data_obj, self.current_object))\n out = {'rand_indexes': r_rand_indexes, 'initial_standalone':\n r_initial_standalone_dict}\n out.update(self.compress_dicts(r_standalone))\n out.update(self.compress_dicts(r_comparative))\n return out\n\n def test_data_set(self, folder_name, n_of_tests, function, function_kwargs\n ):\n files = [(folder_name + '/' + i) for i in list(os.listdir(folder_name))\n ]\n out = []\n for i in files:\n print('investigating file:' + i)\n out.append(self.test_data_object(i, n_of_tests, function,\n function_kwargs))\n return out\n\n def compile_data(self, test_data_out):\n data = self.compress_dicts(test_data_out)\n data['initial_standalone'] = self.compress_dicts(data[\n 'initial_standalone'])\n data['rand_indexes'] = [i for sublist in data['rand_indexes'] for i in\n sublist]\n return data\n\n def calculate_avg_stdev(self, compiled_data):\n out = {}\n out['rand_indexes'] = list(zip(*compiled_data['rand_indexes']))\n out['rand_indexes'] = [statistic.stdev_avg(x) for x in out[\n 'rand_indexes']]\n print(out['rand_indexes'])\n for i in compiled_data:\n if i is not 'rand_indexes' and i is not 'initial_standalone':\n out[i] = [item for sublist in compiled_data[i] for item in\n sublist]\n out[i] = statistic.stdev_avg(out[i])\n out['initial_standalone'] = {k: statistic.stdev_avg(compiled_data[\n 'initial_standalone'][k]) for k in compiled_data[\n 'initial_standalone']}\n return out\n\n def execute(self, folder_name, n_of_tests, function, params):\n data = self.compile_data(self.test_data_set(folder_name, n_of_tests,\n function, params))\n return data, self.calculate_avg_stdev(data)\n\n\nimport py_osm_cluster\n\n\ndef test_multiple_datasets(main_folder, n_of_tests, function, params):\n short_folders = list(os.listdir(main_folder))\n gt = GeneralTest()\n for i in short_folders:\n unexpected = True\n while unexpected:\n try:\n full_folder = main_folder + '/' + i\n data = gt.execute(full_folder, n_of_tests, function, params)\n plt.plot([i[1] for i in data[1]['rand_indexes']], label=i)\n f = open('output_for:' + i, 'w')\n f.write(str(data[1]))\n unexpected = False\n except ZeroDivisionError:\n unexpected = True\n plt.xlabel('iteration')\n plt.ylabel('Rand index')\n plt.legend(loc='lower right')\n plt.show()\n", "<import token>\n\n\nclass GeneralTest:\n\n def __init__(self):\n self.current_object = None\n self.current_rand_harvest = []\n \"\"\" compresses the list of dictionaries into dictionary of lists\"\"\"\n\n def compress_dicts(self, dictionary_list):\n out = {x: [] for x in dictionary_list[0]}\n for i in dictionary_list:\n for k in out:\n out[k].append(i[k])\n return out\n\n def harvest_rand_index(self, data_obj):\n self.current_rand_harvest.append(comparative.scikit_rand_index(\n data_obj, self.current_object))\n\n def test_data_object(self, file, n_of_tests, function, function_kwargs):\n function_kwargs['on_step'] = self.harvest_rand_index\n data_obj = Coords()\n data_obj.read_file(file)\n self.current_object = data_obj\n r_initial_standalone_dict = standalone.standard_scores_dict(data_obj)\n r_standalone = []\n r_comparative = []\n r_rand_indexes = []\n for i in range(n_of_tests):\n self.current_rand_harvest = []\n temp_data_obj = deepcopy(data_obj)\n temp_data_obj = function(data_obj, **function_kwargs)\n r_rand_indexes.append(self.current_rand_harvest)\n r_standalone.append(standalone.standard_scores_dict(temp_data_obj))\n r_comparative.append(comparative.scikit_all_scores_dict(\n temp_data_obj, self.current_object))\n out = {'rand_indexes': r_rand_indexes, 'initial_standalone':\n r_initial_standalone_dict}\n out.update(self.compress_dicts(r_standalone))\n out.update(self.compress_dicts(r_comparative))\n return out\n\n def test_data_set(self, folder_name, n_of_tests, function, function_kwargs\n ):\n files = [(folder_name + '/' + i) for i in list(os.listdir(folder_name))\n ]\n out = []\n for i in files:\n print('investigating file:' + i)\n out.append(self.test_data_object(i, n_of_tests, function,\n function_kwargs))\n return out\n\n def compile_data(self, test_data_out):\n data = self.compress_dicts(test_data_out)\n data['initial_standalone'] = self.compress_dicts(data[\n 'initial_standalone'])\n data['rand_indexes'] = [i for sublist in data['rand_indexes'] for i in\n sublist]\n return data\n\n def calculate_avg_stdev(self, compiled_data):\n out = {}\n out['rand_indexes'] = list(zip(*compiled_data['rand_indexes']))\n out['rand_indexes'] = [statistic.stdev_avg(x) for x in out[\n 'rand_indexes']]\n print(out['rand_indexes'])\n for i in compiled_data:\n if i is not 'rand_indexes' and i is not 'initial_standalone':\n out[i] = [item for sublist in compiled_data[i] for item in\n sublist]\n out[i] = statistic.stdev_avg(out[i])\n out['initial_standalone'] = {k: statistic.stdev_avg(compiled_data[\n 'initial_standalone'][k]) for k in compiled_data[\n 'initial_standalone']}\n return out\n\n def execute(self, folder_name, n_of_tests, function, params):\n data = self.compile_data(self.test_data_set(folder_name, n_of_tests,\n function, params))\n return data, self.calculate_avg_stdev(data)\n\n\n<import token>\n\n\ndef test_multiple_datasets(main_folder, n_of_tests, function, params):\n short_folders = list(os.listdir(main_folder))\n gt = GeneralTest()\n for i in short_folders:\n unexpected = True\n while unexpected:\n try:\n full_folder = main_folder + '/' + i\n data = gt.execute(full_folder, n_of_tests, function, params)\n plt.plot([i[1] for i in data[1]['rand_indexes']], label=i)\n f = open('output_for:' + i, 'w')\n f.write(str(data[1]))\n unexpected = False\n except ZeroDivisionError:\n unexpected = True\n plt.xlabel('iteration')\n plt.ylabel('Rand index')\n plt.legend(loc='lower right')\n plt.show()\n", "<import token>\n\n\nclass GeneralTest:\n\n def __init__(self):\n self.current_object = None\n self.current_rand_harvest = []\n \"\"\" compresses the list of dictionaries into dictionary of lists\"\"\"\n\n def compress_dicts(self, dictionary_list):\n out = {x: [] for x in dictionary_list[0]}\n for i in dictionary_list:\n for k in out:\n out[k].append(i[k])\n return out\n\n def harvest_rand_index(self, data_obj):\n self.current_rand_harvest.append(comparative.scikit_rand_index(\n data_obj, self.current_object))\n\n def test_data_object(self, file, n_of_tests, function, function_kwargs):\n function_kwargs['on_step'] = self.harvest_rand_index\n data_obj = Coords()\n data_obj.read_file(file)\n self.current_object = data_obj\n r_initial_standalone_dict = standalone.standard_scores_dict(data_obj)\n r_standalone = []\n r_comparative = []\n r_rand_indexes = []\n for i in range(n_of_tests):\n self.current_rand_harvest = []\n temp_data_obj = deepcopy(data_obj)\n temp_data_obj = function(data_obj, **function_kwargs)\n r_rand_indexes.append(self.current_rand_harvest)\n r_standalone.append(standalone.standard_scores_dict(temp_data_obj))\n r_comparative.append(comparative.scikit_all_scores_dict(\n temp_data_obj, self.current_object))\n out = {'rand_indexes': r_rand_indexes, 'initial_standalone':\n r_initial_standalone_dict}\n out.update(self.compress_dicts(r_standalone))\n out.update(self.compress_dicts(r_comparative))\n return out\n\n def test_data_set(self, folder_name, n_of_tests, function, function_kwargs\n ):\n files = [(folder_name + '/' + i) for i in list(os.listdir(folder_name))\n ]\n out = []\n for i in files:\n print('investigating file:' + i)\n out.append(self.test_data_object(i, n_of_tests, function,\n function_kwargs))\n return out\n\n def compile_data(self, test_data_out):\n data = self.compress_dicts(test_data_out)\n data['initial_standalone'] = self.compress_dicts(data[\n 'initial_standalone'])\n data['rand_indexes'] = [i for sublist in data['rand_indexes'] for i in\n sublist]\n return data\n\n def calculate_avg_stdev(self, compiled_data):\n out = {}\n out['rand_indexes'] = list(zip(*compiled_data['rand_indexes']))\n out['rand_indexes'] = [statistic.stdev_avg(x) for x in out[\n 'rand_indexes']]\n print(out['rand_indexes'])\n for i in compiled_data:\n if i is not 'rand_indexes' and i is not 'initial_standalone':\n out[i] = [item for sublist in compiled_data[i] for item in\n sublist]\n out[i] = statistic.stdev_avg(out[i])\n out['initial_standalone'] = {k: statistic.stdev_avg(compiled_data[\n 'initial_standalone'][k]) for k in compiled_data[\n 'initial_standalone']}\n return out\n\n def execute(self, folder_name, n_of_tests, function, params):\n data = self.compile_data(self.test_data_set(folder_name, n_of_tests,\n function, params))\n return data, self.calculate_avg_stdev(data)\n\n\n<import token>\n<function token>\n", "<import token>\n\n\nclass GeneralTest:\n\n def __init__(self):\n self.current_object = None\n self.current_rand_harvest = []\n <docstring token>\n\n def compress_dicts(self, dictionary_list):\n out = {x: [] for x in dictionary_list[0]}\n for i in dictionary_list:\n for k in out:\n out[k].append(i[k])\n return out\n\n def harvest_rand_index(self, data_obj):\n self.current_rand_harvest.append(comparative.scikit_rand_index(\n data_obj, self.current_object))\n\n def test_data_object(self, file, n_of_tests, function, function_kwargs):\n function_kwargs['on_step'] = self.harvest_rand_index\n data_obj = Coords()\n data_obj.read_file(file)\n self.current_object = data_obj\n r_initial_standalone_dict = standalone.standard_scores_dict(data_obj)\n r_standalone = []\n r_comparative = []\n r_rand_indexes = []\n for i in range(n_of_tests):\n self.current_rand_harvest = []\n temp_data_obj = deepcopy(data_obj)\n temp_data_obj = function(data_obj, **function_kwargs)\n r_rand_indexes.append(self.current_rand_harvest)\n r_standalone.append(standalone.standard_scores_dict(temp_data_obj))\n r_comparative.append(comparative.scikit_all_scores_dict(\n temp_data_obj, self.current_object))\n out = {'rand_indexes': r_rand_indexes, 'initial_standalone':\n r_initial_standalone_dict}\n out.update(self.compress_dicts(r_standalone))\n out.update(self.compress_dicts(r_comparative))\n return out\n\n def test_data_set(self, folder_name, n_of_tests, function, function_kwargs\n ):\n files = [(folder_name + '/' + i) for i in list(os.listdir(folder_name))\n ]\n out = []\n for i in files:\n print('investigating file:' + i)\n out.append(self.test_data_object(i, n_of_tests, function,\n function_kwargs))\n return out\n\n def compile_data(self, test_data_out):\n data = self.compress_dicts(test_data_out)\n data['initial_standalone'] = self.compress_dicts(data[\n 'initial_standalone'])\n data['rand_indexes'] = [i for sublist in data['rand_indexes'] for i in\n sublist]\n return data\n\n def calculate_avg_stdev(self, compiled_data):\n out = {}\n out['rand_indexes'] = list(zip(*compiled_data['rand_indexes']))\n out['rand_indexes'] = [statistic.stdev_avg(x) for x in out[\n 'rand_indexes']]\n print(out['rand_indexes'])\n for i in compiled_data:\n if i is not 'rand_indexes' and i is not 'initial_standalone':\n out[i] = [item for sublist in compiled_data[i] for item in\n sublist]\n out[i] = statistic.stdev_avg(out[i])\n out['initial_standalone'] = {k: statistic.stdev_avg(compiled_data[\n 'initial_standalone'][k]) for k in compiled_data[\n 'initial_standalone']}\n return out\n\n def execute(self, folder_name, n_of_tests, function, params):\n data = self.compile_data(self.test_data_set(folder_name, n_of_tests,\n function, params))\n return data, self.calculate_avg_stdev(data)\n\n\n<import token>\n<function token>\n", "<import token>\n\n\nclass GeneralTest:\n\n def __init__(self):\n self.current_object = None\n self.current_rand_harvest = []\n <docstring token>\n\n def compress_dicts(self, dictionary_list):\n out = {x: [] for x in dictionary_list[0]}\n for i in dictionary_list:\n for k in out:\n out[k].append(i[k])\n return out\n\n def harvest_rand_index(self, data_obj):\n self.current_rand_harvest.append(comparative.scikit_rand_index(\n data_obj, self.current_object))\n\n def test_data_object(self, file, n_of_tests, function, function_kwargs):\n function_kwargs['on_step'] = self.harvest_rand_index\n data_obj = Coords()\n data_obj.read_file(file)\n self.current_object = data_obj\n r_initial_standalone_dict = standalone.standard_scores_dict(data_obj)\n r_standalone = []\n r_comparative = []\n r_rand_indexes = []\n for i in range(n_of_tests):\n self.current_rand_harvest = []\n temp_data_obj = deepcopy(data_obj)\n temp_data_obj = function(data_obj, **function_kwargs)\n r_rand_indexes.append(self.current_rand_harvest)\n r_standalone.append(standalone.standard_scores_dict(temp_data_obj))\n r_comparative.append(comparative.scikit_all_scores_dict(\n temp_data_obj, self.current_object))\n out = {'rand_indexes': r_rand_indexes, 'initial_standalone':\n r_initial_standalone_dict}\n out.update(self.compress_dicts(r_standalone))\n out.update(self.compress_dicts(r_comparative))\n return out\n <function token>\n\n def compile_data(self, test_data_out):\n data = self.compress_dicts(test_data_out)\n data['initial_standalone'] = self.compress_dicts(data[\n 'initial_standalone'])\n data['rand_indexes'] = [i for sublist in data['rand_indexes'] for i in\n sublist]\n return data\n\n def calculate_avg_stdev(self, compiled_data):\n out = {}\n out['rand_indexes'] = list(zip(*compiled_data['rand_indexes']))\n out['rand_indexes'] = [statistic.stdev_avg(x) for x in out[\n 'rand_indexes']]\n print(out['rand_indexes'])\n for i in compiled_data:\n if i is not 'rand_indexes' and i is not 'initial_standalone':\n out[i] = [item for sublist in compiled_data[i] for item in\n sublist]\n out[i] = statistic.stdev_avg(out[i])\n out['initial_standalone'] = {k: statistic.stdev_avg(compiled_data[\n 'initial_standalone'][k]) for k in compiled_data[\n 'initial_standalone']}\n return out\n\n def execute(self, folder_name, n_of_tests, function, params):\n data = self.compile_data(self.test_data_set(folder_name, n_of_tests,\n function, params))\n return data, self.calculate_avg_stdev(data)\n\n\n<import token>\n<function token>\n", "<import token>\n\n\nclass GeneralTest:\n\n def __init__(self):\n self.current_object = None\n self.current_rand_harvest = []\n <docstring token>\n\n def compress_dicts(self, dictionary_list):\n out = {x: [] for x in dictionary_list[0]}\n for i in dictionary_list:\n for k in out:\n out[k].append(i[k])\n return out\n <function token>\n\n def test_data_object(self, file, n_of_tests, function, function_kwargs):\n function_kwargs['on_step'] = self.harvest_rand_index\n data_obj = Coords()\n data_obj.read_file(file)\n self.current_object = data_obj\n r_initial_standalone_dict = standalone.standard_scores_dict(data_obj)\n r_standalone = []\n r_comparative = []\n r_rand_indexes = []\n for i in range(n_of_tests):\n self.current_rand_harvest = []\n temp_data_obj = deepcopy(data_obj)\n temp_data_obj = function(data_obj, **function_kwargs)\n r_rand_indexes.append(self.current_rand_harvest)\n r_standalone.append(standalone.standard_scores_dict(temp_data_obj))\n r_comparative.append(comparative.scikit_all_scores_dict(\n temp_data_obj, self.current_object))\n out = {'rand_indexes': r_rand_indexes, 'initial_standalone':\n r_initial_standalone_dict}\n out.update(self.compress_dicts(r_standalone))\n out.update(self.compress_dicts(r_comparative))\n return out\n <function token>\n\n def compile_data(self, test_data_out):\n data = self.compress_dicts(test_data_out)\n data['initial_standalone'] = self.compress_dicts(data[\n 'initial_standalone'])\n data['rand_indexes'] = [i for sublist in data['rand_indexes'] for i in\n sublist]\n return data\n\n def calculate_avg_stdev(self, compiled_data):\n out = {}\n out['rand_indexes'] = list(zip(*compiled_data['rand_indexes']))\n out['rand_indexes'] = [statistic.stdev_avg(x) for x in out[\n 'rand_indexes']]\n print(out['rand_indexes'])\n for i in compiled_data:\n if i is not 'rand_indexes' and i is not 'initial_standalone':\n out[i] = [item for sublist in compiled_data[i] for item in\n sublist]\n out[i] = statistic.stdev_avg(out[i])\n out['initial_standalone'] = {k: statistic.stdev_avg(compiled_data[\n 'initial_standalone'][k]) for k in compiled_data[\n 'initial_standalone']}\n return out\n\n def execute(self, folder_name, n_of_tests, function, params):\n data = self.compile_data(self.test_data_set(folder_name, n_of_tests,\n function, params))\n return data, self.calculate_avg_stdev(data)\n\n\n<import token>\n<function token>\n", "<import token>\n\n\nclass GeneralTest:\n\n def __init__(self):\n self.current_object = None\n self.current_rand_harvest = []\n <docstring token>\n <function token>\n <function token>\n\n def test_data_object(self, file, n_of_tests, function, function_kwargs):\n function_kwargs['on_step'] = self.harvest_rand_index\n data_obj = Coords()\n data_obj.read_file(file)\n self.current_object = data_obj\n r_initial_standalone_dict = standalone.standard_scores_dict(data_obj)\n r_standalone = []\n r_comparative = []\n r_rand_indexes = []\n for i in range(n_of_tests):\n self.current_rand_harvest = []\n temp_data_obj = deepcopy(data_obj)\n temp_data_obj = function(data_obj, **function_kwargs)\n r_rand_indexes.append(self.current_rand_harvest)\n r_standalone.append(standalone.standard_scores_dict(temp_data_obj))\n r_comparative.append(comparative.scikit_all_scores_dict(\n temp_data_obj, self.current_object))\n out = {'rand_indexes': r_rand_indexes, 'initial_standalone':\n r_initial_standalone_dict}\n out.update(self.compress_dicts(r_standalone))\n out.update(self.compress_dicts(r_comparative))\n return out\n <function token>\n\n def compile_data(self, test_data_out):\n data = self.compress_dicts(test_data_out)\n data['initial_standalone'] = self.compress_dicts(data[\n 'initial_standalone'])\n data['rand_indexes'] = [i for sublist in data['rand_indexes'] for i in\n sublist]\n return data\n\n def calculate_avg_stdev(self, compiled_data):\n out = {}\n out['rand_indexes'] = list(zip(*compiled_data['rand_indexes']))\n out['rand_indexes'] = [statistic.stdev_avg(x) for x in out[\n 'rand_indexes']]\n print(out['rand_indexes'])\n for i in compiled_data:\n if i is not 'rand_indexes' and i is not 'initial_standalone':\n out[i] = [item for sublist in compiled_data[i] for item in\n sublist]\n out[i] = statistic.stdev_avg(out[i])\n out['initial_standalone'] = {k: statistic.stdev_avg(compiled_data[\n 'initial_standalone'][k]) for k in compiled_data[\n 'initial_standalone']}\n return out\n\n def execute(self, folder_name, n_of_tests, function, params):\n data = self.compile_data(self.test_data_set(folder_name, n_of_tests,\n function, params))\n return data, self.calculate_avg_stdev(data)\n\n\n<import token>\n<function token>\n", "<import token>\n\n\nclass GeneralTest:\n\n def __init__(self):\n self.current_object = None\n self.current_rand_harvest = []\n <docstring token>\n <function token>\n <function token>\n\n def test_data_object(self, file, n_of_tests, function, function_kwargs):\n function_kwargs['on_step'] = self.harvest_rand_index\n data_obj = Coords()\n data_obj.read_file(file)\n self.current_object = data_obj\n r_initial_standalone_dict = standalone.standard_scores_dict(data_obj)\n r_standalone = []\n r_comparative = []\n r_rand_indexes = []\n for i in range(n_of_tests):\n self.current_rand_harvest = []\n temp_data_obj = deepcopy(data_obj)\n temp_data_obj = function(data_obj, **function_kwargs)\n r_rand_indexes.append(self.current_rand_harvest)\n r_standalone.append(standalone.standard_scores_dict(temp_data_obj))\n r_comparative.append(comparative.scikit_all_scores_dict(\n temp_data_obj, self.current_object))\n out = {'rand_indexes': r_rand_indexes, 'initial_standalone':\n r_initial_standalone_dict}\n out.update(self.compress_dicts(r_standalone))\n out.update(self.compress_dicts(r_comparative))\n return out\n <function token>\n\n def compile_data(self, test_data_out):\n data = self.compress_dicts(test_data_out)\n data['initial_standalone'] = self.compress_dicts(data[\n 'initial_standalone'])\n data['rand_indexes'] = [i for sublist in data['rand_indexes'] for i in\n sublist]\n return data\n\n def calculate_avg_stdev(self, compiled_data):\n out = {}\n out['rand_indexes'] = list(zip(*compiled_data['rand_indexes']))\n out['rand_indexes'] = [statistic.stdev_avg(x) for x in out[\n 'rand_indexes']]\n print(out['rand_indexes'])\n for i in compiled_data:\n if i is not 'rand_indexes' and i is not 'initial_standalone':\n out[i] = [item for sublist in compiled_data[i] for item in\n sublist]\n out[i] = statistic.stdev_avg(out[i])\n out['initial_standalone'] = {k: statistic.stdev_avg(compiled_data[\n 'initial_standalone'][k]) for k in compiled_data[\n 'initial_standalone']}\n return out\n <function token>\n\n\n<import token>\n<function token>\n", "<import token>\n\n\nclass GeneralTest:\n\n def __init__(self):\n self.current_object = None\n self.current_rand_harvest = []\n <docstring token>\n <function token>\n <function token>\n\n def test_data_object(self, file, n_of_tests, function, function_kwargs):\n function_kwargs['on_step'] = self.harvest_rand_index\n data_obj = Coords()\n data_obj.read_file(file)\n self.current_object = data_obj\n r_initial_standalone_dict = standalone.standard_scores_dict(data_obj)\n r_standalone = []\n r_comparative = []\n r_rand_indexes = []\n for i in range(n_of_tests):\n self.current_rand_harvest = []\n temp_data_obj = deepcopy(data_obj)\n temp_data_obj = function(data_obj, **function_kwargs)\n r_rand_indexes.append(self.current_rand_harvest)\n r_standalone.append(standalone.standard_scores_dict(temp_data_obj))\n r_comparative.append(comparative.scikit_all_scores_dict(\n temp_data_obj, self.current_object))\n out = {'rand_indexes': r_rand_indexes, 'initial_standalone':\n r_initial_standalone_dict}\n out.update(self.compress_dicts(r_standalone))\n out.update(self.compress_dicts(r_comparative))\n return out\n <function token>\n <function token>\n\n def calculate_avg_stdev(self, compiled_data):\n out = {}\n out['rand_indexes'] = list(zip(*compiled_data['rand_indexes']))\n out['rand_indexes'] = [statistic.stdev_avg(x) for x in out[\n 'rand_indexes']]\n print(out['rand_indexes'])\n for i in compiled_data:\n if i is not 'rand_indexes' and i is not 'initial_standalone':\n out[i] = [item for sublist in compiled_data[i] for item in\n sublist]\n out[i] = statistic.stdev_avg(out[i])\n out['initial_standalone'] = {k: statistic.stdev_avg(compiled_data[\n 'initial_standalone'][k]) for k in compiled_data[\n 'initial_standalone']}\n return out\n <function token>\n\n\n<import token>\n<function token>\n", "<import token>\n\n\nclass GeneralTest:\n\n def __init__(self):\n self.current_object = None\n self.current_rand_harvest = []\n <docstring token>\n <function token>\n <function token>\n\n def test_data_object(self, file, n_of_tests, function, function_kwargs):\n function_kwargs['on_step'] = self.harvest_rand_index\n data_obj = Coords()\n data_obj.read_file(file)\n self.current_object = data_obj\n r_initial_standalone_dict = standalone.standard_scores_dict(data_obj)\n r_standalone = []\n r_comparative = []\n r_rand_indexes = []\n for i in range(n_of_tests):\n self.current_rand_harvest = []\n temp_data_obj = deepcopy(data_obj)\n temp_data_obj = function(data_obj, **function_kwargs)\n r_rand_indexes.append(self.current_rand_harvest)\n r_standalone.append(standalone.standard_scores_dict(temp_data_obj))\n r_comparative.append(comparative.scikit_all_scores_dict(\n temp_data_obj, self.current_object))\n out = {'rand_indexes': r_rand_indexes, 'initial_standalone':\n r_initial_standalone_dict}\n out.update(self.compress_dicts(r_standalone))\n out.update(self.compress_dicts(r_comparative))\n return out\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<import token>\n<function token>\n", "<import token>\n\n\nclass GeneralTest:\n <function token>\n <docstring token>\n <function token>\n <function token>\n\n def test_data_object(self, file, n_of_tests, function, function_kwargs):\n function_kwargs['on_step'] = self.harvest_rand_index\n data_obj = Coords()\n data_obj.read_file(file)\n self.current_object = data_obj\n r_initial_standalone_dict = standalone.standard_scores_dict(data_obj)\n r_standalone = []\n r_comparative = []\n r_rand_indexes = []\n for i in range(n_of_tests):\n self.current_rand_harvest = []\n temp_data_obj = deepcopy(data_obj)\n temp_data_obj = function(data_obj, **function_kwargs)\n r_rand_indexes.append(self.current_rand_harvest)\n r_standalone.append(standalone.standard_scores_dict(temp_data_obj))\n r_comparative.append(comparative.scikit_all_scores_dict(\n temp_data_obj, self.current_object))\n out = {'rand_indexes': r_rand_indexes, 'initial_standalone':\n r_initial_standalone_dict}\n out.update(self.compress_dicts(r_standalone))\n out.update(self.compress_dicts(r_comparative))\n return out\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<import token>\n<function token>\n", "<import token>\n\n\nclass GeneralTest:\n <function token>\n <docstring token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<import token>\n<function token>\n", "<import token>\n<class token>\n<import token>\n<function token>\n" ]
false
98,669
3551af55e37d65ba532676ad1914bca0a0f78cf6
# while loop num = 0 while num < 6: print(num) num += 1 # for loops with ranges for num in range(6): print(num) for num in range(0, 6): print(num) for num in range(1, 11, 2): print(num) for num in range(10, 0, -1): print(num) # Looping through a list nums = [0, 1, 2, 3, 4, 5] # list for num in nums: print(num) # Looping through a tuple nums = (0, 1, 2, 3, 4, 5) # tuple for num in nums: print(num) # Looping through a dictionary grades = {'English':97, 'Math':93, 'Art':74, 'Music':86} for course in grades: print(course) for course in grades.keys(): print(course) for grade in grades.values(): print(grade) for course, grade in grades.items(): print(f'{course}: {grade}') for item in grades.items(): course = item[0] grade = item[1] print(f'{course}: {grade}') # break for num in range(11, 20): print(num) if num % 5 == 0: break # continue for num in range(1, 12): if num % 5 == 0: continue print(num)
[ "# while loop\nnum = 0\nwhile num < 6:\n print(num)\n num += 1\n\n# for loops with ranges\nfor num in range(6):\n print(num)\n\nfor num in range(0, 6):\n print(num)\n\nfor num in range(1, 11, 2):\n print(num)\n\nfor num in range(10, 0, -1):\n print(num)\n\n# Looping through a list\nnums = [0, 1, 2, 3, 4, 5] # list\nfor num in nums:\n print(num)\n\n# Looping through a tuple\nnums = (0, 1, 2, 3, 4, 5) # tuple\nfor num in nums:\n print(num)\n\n# Looping through a dictionary\ngrades = {'English':97, 'Math':93, 'Art':74, 'Music':86}\n\nfor course in grades:\n print(course)\n\nfor course in grades.keys():\n print(course)\n\nfor grade in grades.values():\n print(grade)\n\nfor course, grade in grades.items():\n print(f'{course}: {grade}')\n\nfor item in grades.items():\n course = item[0]\n grade = item[1]\n print(f'{course}: {grade}')\n\n# break\nfor num in range(11, 20):\n print(num)\n if num % 5 == 0:\n break\n\n# continue\nfor num in range(1, 12):\n if num % 5 == 0:\n continue\n print(num)", "num = 0\nwhile num < 6:\n print(num)\n num += 1\nfor num in range(6):\n print(num)\nfor num in range(0, 6):\n print(num)\nfor num in range(1, 11, 2):\n print(num)\nfor num in range(10, 0, -1):\n print(num)\nnums = [0, 1, 2, 3, 4, 5]\nfor num in nums:\n print(num)\nnums = 0, 1, 2, 3, 4, 5\nfor num in nums:\n print(num)\ngrades = {'English': 97, 'Math': 93, 'Art': 74, 'Music': 86}\nfor course in grades:\n print(course)\nfor course in grades.keys():\n print(course)\nfor grade in grades.values():\n print(grade)\nfor course, grade in grades.items():\n print(f'{course}: {grade}')\nfor item in grades.items():\n course = item[0]\n grade = item[1]\n print(f'{course}: {grade}')\nfor num in range(11, 20):\n print(num)\n if num % 5 == 0:\n break\nfor num in range(1, 12):\n if num % 5 == 0:\n continue\n print(num)\n", "<assignment token>\nwhile num < 6:\n print(num)\n num += 1\nfor num in range(6):\n print(num)\nfor num in range(0, 6):\n print(num)\nfor num in range(1, 11, 2):\n print(num)\nfor num in range(10, 0, -1):\n print(num)\n<assignment token>\nfor num in nums:\n print(num)\n<assignment token>\nfor num in nums:\n print(num)\n<assignment token>\nfor course in grades:\n print(course)\nfor course in grades.keys():\n print(course)\nfor grade in grades.values():\n print(grade)\nfor course, grade in grades.items():\n print(f'{course}: {grade}')\nfor item in grades.items():\n course = item[0]\n grade = item[1]\n print(f'{course}: {grade}')\nfor num in range(11, 20):\n print(num)\n if num % 5 == 0:\n break\nfor num in range(1, 12):\n if num % 5 == 0:\n continue\n print(num)\n", "<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n" ]
false
98,670
a817098038bc7e041db61cf4769c1cdaa15f15cc
# Ivan Carvalho # Solution to https://www.urionlinejudge.com.br/judge/problems/view/1070 # -*- coding: utf-8 -*- ''' Escreva a sua solução aqui Code your solution here Escriba su solución aquí ''' entrada = int(raw_input()) if entrada % 2 == 0: entrada += 1 for i in xrange(6): print entrada + i*2
[ "# Ivan Carvalho\n# Solution to https://www.urionlinejudge.com.br/judge/problems/view/1070\n# -*- coding: utf-8 -*-\n\n'''\nEscreva a sua solução aqui\nCode your solution here\nEscriba su solución aquí\n'''\nentrada = int(raw_input())\nif entrada % 2 == 0:\n entrada += 1\nfor i in xrange(6):\n print entrada + i*2\n" ]
true
98,671
b9f4921e8eb4afba634e8308e20bf61c761619ab
import RPi.GPIO as GPIO import time from flask import Flask, jsonify def init_gpio_pins(): GPIO.setmode(GPIO.BCM) pinlist = [2, 3] for i in pinlist: GPIO.setup(i, GPIO.OUT) GPIO.output(i, GPIO.HIGH) def unlock(duration): GPIO.output(relay_1, GPIO.LOW) time.sleep(duration) GPIO.output(relay_1, GPIO.HIGH) GPIO.cleanup() #GPIO pin mappings relay_1 = 2 #Door strike (normally open) relay_2 = 3 #Unused #Set relay close timer unlock_duration = 5 #Number of seconds to keep door unlocked #API endpoint to unlock door strike app = Flask(__name__) @app.route("/unlock") def home(): init_gpio_pins() return jsonify({"status":"door was unlocked for 5 seconds"}), 200 unlock(unlock_duration) #return jsonify({"status":"door was unlocked for 5 seconds"}), 200 if __name__ == "__main__": app.run(host='0.0.0.0')
[ "import RPi.GPIO as GPIO\nimport time\nfrom flask import Flask, jsonify\n\ndef init_gpio_pins():\n GPIO.setmode(GPIO.BCM)\n pinlist = [2, 3]\n for i in pinlist:\n GPIO.setup(i, GPIO.OUT)\n GPIO.output(i, GPIO.HIGH)\n\ndef unlock(duration):\n GPIO.output(relay_1, GPIO.LOW)\n time.sleep(duration)\n GPIO.output(relay_1, GPIO.HIGH)\n GPIO.cleanup()\n\n#GPIO pin mappings\nrelay_1 = 2 #Door strike (normally open)\nrelay_2 = 3 #Unused\n\n#Set relay close timer\nunlock_duration = 5 #Number of seconds to keep door unlocked\n\n#API endpoint to unlock door strike\napp = Flask(__name__)\n\[email protected](\"/unlock\")\ndef home():\n init_gpio_pins()\n return jsonify({\"status\":\"door was unlocked for 5 seconds\"}), 200\n unlock(unlock_duration)\n #return jsonify({\"status\":\"door was unlocked for 5 seconds\"}), 200\n\nif __name__ == \"__main__\":\n app.run(host='0.0.0.0')", "import RPi.GPIO as GPIO\nimport time\nfrom flask import Flask, jsonify\n\n\ndef init_gpio_pins():\n GPIO.setmode(GPIO.BCM)\n pinlist = [2, 3]\n for i in pinlist:\n GPIO.setup(i, GPIO.OUT)\n GPIO.output(i, GPIO.HIGH)\n\n\ndef unlock(duration):\n GPIO.output(relay_1, GPIO.LOW)\n time.sleep(duration)\n GPIO.output(relay_1, GPIO.HIGH)\n GPIO.cleanup()\n\n\nrelay_1 = 2\nrelay_2 = 3\nunlock_duration = 5\napp = Flask(__name__)\n\n\[email protected]('/unlock')\ndef home():\n init_gpio_pins()\n return jsonify({'status': 'door was unlocked for 5 seconds'}), 200\n unlock(unlock_duration)\n\n\nif __name__ == '__main__':\n app.run(host='0.0.0.0')\n", "<import token>\n\n\ndef init_gpio_pins():\n GPIO.setmode(GPIO.BCM)\n pinlist = [2, 3]\n for i in pinlist:\n GPIO.setup(i, GPIO.OUT)\n GPIO.output(i, GPIO.HIGH)\n\n\ndef unlock(duration):\n GPIO.output(relay_1, GPIO.LOW)\n time.sleep(duration)\n GPIO.output(relay_1, GPIO.HIGH)\n GPIO.cleanup()\n\n\nrelay_1 = 2\nrelay_2 = 3\nunlock_duration = 5\napp = Flask(__name__)\n\n\[email protected]('/unlock')\ndef home():\n init_gpio_pins()\n return jsonify({'status': 'door was unlocked for 5 seconds'}), 200\n unlock(unlock_duration)\n\n\nif __name__ == '__main__':\n app.run(host='0.0.0.0')\n", "<import token>\n\n\ndef init_gpio_pins():\n GPIO.setmode(GPIO.BCM)\n pinlist = [2, 3]\n for i in pinlist:\n GPIO.setup(i, GPIO.OUT)\n GPIO.output(i, GPIO.HIGH)\n\n\ndef unlock(duration):\n GPIO.output(relay_1, GPIO.LOW)\n time.sleep(duration)\n GPIO.output(relay_1, GPIO.HIGH)\n GPIO.cleanup()\n\n\n<assignment token>\n\n\[email protected]('/unlock')\ndef home():\n init_gpio_pins()\n return jsonify({'status': 'door was unlocked for 5 seconds'}), 200\n unlock(unlock_duration)\n\n\nif __name__ == '__main__':\n app.run(host='0.0.0.0')\n", "<import token>\n\n\ndef init_gpio_pins():\n GPIO.setmode(GPIO.BCM)\n pinlist = [2, 3]\n for i in pinlist:\n GPIO.setup(i, GPIO.OUT)\n GPIO.output(i, GPIO.HIGH)\n\n\ndef unlock(duration):\n GPIO.output(relay_1, GPIO.LOW)\n time.sleep(duration)\n GPIO.output(relay_1, GPIO.HIGH)\n GPIO.cleanup()\n\n\n<assignment token>\n\n\[email protected]('/unlock')\ndef home():\n init_gpio_pins()\n return jsonify({'status': 'door was unlocked for 5 seconds'}), 200\n unlock(unlock_duration)\n\n\n<code token>\n", "<import token>\n<function token>\n\n\ndef unlock(duration):\n GPIO.output(relay_1, GPIO.LOW)\n time.sleep(duration)\n GPIO.output(relay_1, GPIO.HIGH)\n GPIO.cleanup()\n\n\n<assignment token>\n\n\[email protected]('/unlock')\ndef home():\n init_gpio_pins()\n return jsonify({'status': 'door was unlocked for 5 seconds'}), 200\n unlock(unlock_duration)\n\n\n<code token>\n", "<import token>\n<function token>\n\n\ndef unlock(duration):\n GPIO.output(relay_1, GPIO.LOW)\n time.sleep(duration)\n GPIO.output(relay_1, GPIO.HIGH)\n GPIO.cleanup()\n\n\n<assignment token>\n<function token>\n<code token>\n", "<import token>\n<function token>\n<function token>\n<assignment token>\n<function token>\n<code token>\n" ]
false
98,672
b0d82fac4e6c12ccb6258411b96c3f2f929f9bd2
import gui gui.start_gui()
[ "import gui\n\n\ngui.start_gui()\n\n\n", "import gui\ngui.start_gui()\n", "<import token>\ngui.start_gui()\n", "<import token>\n<code token>\n" ]
false
98,673
8a5938ab84f6aad68fefe992776da1573ae6fd2f
from .configure import Configure from .create_user import CreateUser from .list_routes import ListRoutes from .load_nanopub import LoadNanopub from .retire_nanopub import RetireNanopub from .run_interpreter import RunInterpreter from .runserver import WhyisServer from .test import Test from .test_agent import TestAgent from .update_user import UpdateUser from .uninstall_app import UninstallApp
[ "from .configure import Configure\nfrom .create_user import CreateUser\nfrom .list_routes import ListRoutes\nfrom .load_nanopub import LoadNanopub\nfrom .retire_nanopub import RetireNanopub\nfrom .run_interpreter import RunInterpreter\nfrom .runserver import WhyisServer\nfrom .test import Test\nfrom .test_agent import TestAgent\nfrom .update_user import UpdateUser\nfrom .uninstall_app import UninstallApp\n", "<import token>\n" ]
false
98,674
516e44bef5354265ab42fb6b513096f96e17d3fe
''' 算法：模拟。需要借用同nums1相同大小的数组。 ''' class Solution: def merge(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None: """ Do not return anything, modify nums1 in-place instead. """ nums3 = nums1[:m] i = 0 j = 0 k = 0 while i < m and j < n: if nums3[i] < nums2[j]: nums1[k] = nums3[i] i += 1 else: nums1[k] = nums2[j] j += 1 k += 1 for v in range(i, m): nums1[k] = nums3[v] k += 1 for v in range(j, n): nums1[k] = nums2[v] k += 1
[ "'''\n算法：模拟。需要借用同nums1相同大小的数组。\n'''\nclass Solution:\n def merge(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None:\n \"\"\"\n Do not return anything, modify nums1 in-place instead.\n \"\"\"\n nums3 = nums1[:m]\n i = 0\n j = 0\n k = 0\n while i < m and j < n:\n if nums3[i] < nums2[j]:\n nums1[k] = nums3[i]\n i += 1\n else:\n nums1[k] = nums2[j]\n j += 1\n k += 1\n \n for v in range(i, m):\n nums1[k] = nums3[v]\n k += 1\n \n for v in range(j, n):\n nums1[k] = nums2[v]\n k += 1", "<docstring token>\n\n\nclass Solution:\n\n def merge(self, nums1: List[int], m: int, nums2: List[int], n: int) ->None:\n \"\"\"\n Do not return anything, modify nums1 in-place instead.\n \"\"\"\n nums3 = nums1[:m]\n i = 0\n j = 0\n k = 0\n while i < m and j < n:\n if nums3[i] < nums2[j]:\n nums1[k] = nums3[i]\n i += 1\n else:\n nums1[k] = nums2[j]\n j += 1\n k += 1\n for v in range(i, m):\n nums1[k] = nums3[v]\n k += 1\n for v in range(j, n):\n nums1[k] = nums2[v]\n k += 1\n", "<docstring token>\n\n\nclass Solution:\n <function token>\n", "<docstring token>\n<class token>\n" ]
false
98,675
d563827e534e8959c222e71d39892c8b5933ee16
import numpy as np from models.Particle import Particle # Create a particle to model a cannonball cannonball = Particle( 'cannonball', 3, velocity=np.array([10, 5, 3], dtype=float), position=np.array([0, 0, 0], dtype=float)) # Set delta_t to 0.01 seconds for Euler approximations delta_t = 0.01 # create a list to record position over time trajectory = [cannonball.position] # run the simulation while (cannonball.position[2] >= 0): cannonball.update(delta_t, "EULER") trajectory.append(cannonball.position) summary = '{0} travelled {1}m.'.format(cannonball.name, cannonball.position[0]) print(summary) print('Attempting to write to file') file_contents = np.asarray(trajectory) np.savetxt('trajectory.csv', file_contents, delimiter=',') print('File saved successfully')
[ "import numpy as np\nfrom models.Particle import Particle\n\n# Create a particle to model a cannonball\ncannonball = Particle(\n 'cannonball', 3, velocity=np.array([10, 5, 3], dtype=float), position=np.array([0, 0, 0], dtype=float))\n\n# Set delta_t to 0.01 seconds for Euler approximations\ndelta_t = 0.01\n\n# create a list to record position over time\ntrajectory = [cannonball.position]\n\n# run the simulation\nwhile (cannonball.position[2] >= 0):\n cannonball.update(delta_t, \"EULER\")\n trajectory.append(cannonball.position)\n\n\nsummary = '{0} travelled {1}m.'.format(cannonball.name, cannonball.position[0])\n\nprint(summary)\nprint('Attempting to write to file')\n\nfile_contents = np.asarray(trajectory)\nnp.savetxt('trajectory.csv', file_contents, delimiter=',')\n\nprint('File saved successfully')\n", "import numpy as np\nfrom models.Particle import Particle\ncannonball = Particle('cannonball', 3, velocity=np.array([10, 5, 3], dtype=\n float), position=np.array([0, 0, 0], dtype=float))\ndelta_t = 0.01\ntrajectory = [cannonball.position]\nwhile cannonball.position[2] >= 0:\n cannonball.update(delta_t, 'EULER')\n trajectory.append(cannonball.position)\nsummary = '{0} travelled {1}m.'.format(cannonball.name, cannonball.position[0])\nprint(summary)\nprint('Attempting to write to file')\nfile_contents = np.asarray(trajectory)\nnp.savetxt('trajectory.csv', file_contents, delimiter=',')\nprint('File saved successfully')\n", "<import token>\ncannonball = Particle('cannonball', 3, velocity=np.array([10, 5, 3], dtype=\n float), position=np.array([0, 0, 0], dtype=float))\ndelta_t = 0.01\ntrajectory = [cannonball.position]\nwhile cannonball.position[2] >= 0:\n cannonball.update(delta_t, 'EULER')\n trajectory.append(cannonball.position)\nsummary = '{0} travelled {1}m.'.format(cannonball.name, cannonball.position[0])\nprint(summary)\nprint('Attempting to write to file')\nfile_contents = np.asarray(trajectory)\nnp.savetxt('trajectory.csv', file_contents, delimiter=',')\nprint('File saved successfully')\n", "<import token>\n<assignment token>\nwhile cannonball.position[2] >= 0:\n cannonball.update(delta_t, 'EULER')\n trajectory.append(cannonball.position)\n<assignment token>\nprint(summary)\nprint('Attempting to write to file')\n<assignment token>\nnp.savetxt('trajectory.csv', file_contents, delimiter=',')\nprint('File saved successfully')\n", "<import token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n" ]
false
98,676
348f15f6f5334e6006585dbfa3f692db1d77ca14
''' Based on: Generating p(e|m) index https://github.com/informagi/REL/blob/master/scripts/code_tutorials/generate_p_e_m.py ''' from REL.wikipedia import Wikipedia from REL.wikipedia_yago_freq import WikipediaYagoFreq import json wiki_version = "wiki_2019" base_url = "/home/hvwesten/Projects/thesis/data/" # Open file with clueweb counts, choose between ClueWeb09 or ClueWeb09+12 input_url = './save_folder/00_clueweb_full_9.json' # input_url = './save_folder/00_clueweb_full_9_12.json' print(f"input_url: {input_url}") with open(input_url, 'r') as f: clueweb_dict = json.load(f) # Import helper functions; store p(e|m) index etc in class. print("Loading wikipedia files") wikipedia = Wikipedia(base_url, wiki_version) # Init class wiki_yago_freq = WikipediaYagoFreq(base_url, wiki_version, wikipedia) # All the different configurations, uncomment the one you want to use ''' Baseline: Compute Wiki+Crosswiki with YAGO p(e|m) ''' wiki_yago_freq.compute_wiki() wiki_yago_freq.compute_custom() ''' # 1. W + CW + C9 (+ C12): Compute Wiki+Crosswiki with Clueweb p(e|m) ''' # wiki_yago_freq.compute_wiki() # wiki_yago_freq.compute_custom(clueweb_dict) ''' # 2. W + C9 (+ C12) + Y: Compute Wiki+Clueweb and YAGO p(e|m) ''' # wiki_yago_freq.compute_wiki(custom_add=clueweb_dict) # wiki_yago_freq.compute_custom() ''' # 3. W + CW + C9 (+ C12) + Y : Compute WIKI + CROSSWIKI + CLUE and YAGO (= ALL) ''' # wiki_yago_freq.compute_wiki(special_case="all", custom_main=clueweb_dict) # wiki_yago_freq.compute_custom() ''' # 4. CW + C9 (+ C12) + Y: Compute Cross+Clueweb and YAGO p(e|m) ''' # wiki_yago_freq.compute_wiki(custom_main=clueweb_dict) # wiki_yago_freq.compute_custom() ''' # 5. CW + C9 (+ C12) : Compute Cross and Clue ''' # wiki_yago_freq.compute_wiki(special_case="only_crosswiki") # wiki_yago_freq.compute_custom(clueweb_dict) ''' # 6. C9 (+ C12) + Y: Just Clueweb9_12+YAGO or Clueweb9+YAGO ''' # wiki_yago_freq.compute_wiki(special_case="only_clueweb", custom_main=clueweb_dict) # wiki_yago_freq.compute_custom() ''' # 7. C9 (+ C12): Just Clueweb9_12 or ClueWeb9 ''' # wiki_yago_freq.compute_wiki(special_case="only_clueweb", custom_main=clueweb_dict) # Store dictionary in sqlite3 database wiki_yago_freq.store()
[ "'''\n Based on:\n Generating p(e|m) index\n https://github.com/informagi/REL/blob/master/scripts/code_tutorials/generate_p_e_m.py\n\n'''\n\nfrom REL.wikipedia import Wikipedia\nfrom REL.wikipedia_yago_freq import WikipediaYagoFreq\n\nimport json\n\nwiki_version = \"wiki_2019\"\nbase_url = \"/home/hvwesten/Projects/thesis/data/\"\n\n# Open file with clueweb counts, choose between ClueWeb09 or ClueWeb09+12\ninput_url = './save_folder/00_clueweb_full_9.json'\n# input_url = './save_folder/00_clueweb_full_9_12.json'\n\nprint(f\"input_url: {input_url}\")\n\nwith open(input_url, 'r') as f:\n clueweb_dict = json.load(f)\n\n# Import helper functions; store p(e|m) index etc in class.\nprint(\"Loading wikipedia files\")\nwikipedia = Wikipedia(base_url, wiki_version)\n\n# Init class\nwiki_yago_freq = WikipediaYagoFreq(base_url, wiki_version, wikipedia)\n\n\n# All the different configurations, uncomment the one you want to use\n'''\nBaseline:\n Compute Wiki+Crosswiki with YAGO p(e|m)\n'''\nwiki_yago_freq.compute_wiki()\nwiki_yago_freq.compute_custom()\n\n'''\n# 1. W + CW + C9 (+ C12):\n Compute Wiki+Crosswiki with Clueweb p(e|m)\n'''\n# wiki_yago_freq.compute_wiki()\n# wiki_yago_freq.compute_custom(clueweb_dict)\n\n'''\n# 2. W + C9 (+ C12) + Y:\n Compute Wiki+Clueweb and YAGO p(e|m)\n'''\n# wiki_yago_freq.compute_wiki(custom_add=clueweb_dict)\n# wiki_yago_freq.compute_custom()\n\n'''\n# 3. W + CW + C9 (+ C12) + Y :\n Compute WIKI + CROSSWIKI + CLUE and YAGO (= ALL)\n'''\n# wiki_yago_freq.compute_wiki(special_case=\"all\", custom_main=clueweb_dict)\n# wiki_yago_freq.compute_custom()\n\n\n'''\n# 4. CW + C9 (+ C12) + Y:\n Compute Cross+Clueweb and YAGO p(e|m)\n'''\n# wiki_yago_freq.compute_wiki(custom_main=clueweb_dict)\n# wiki_yago_freq.compute_custom()\n\n\n'''\n# 5. CW + C9 (+ C12) :\n Compute Cross and Clue\n'''\n# wiki_yago_freq.compute_wiki(special_case=\"only_crosswiki\")\n# wiki_yago_freq.compute_custom(clueweb_dict)\n\n\n'''\n# 6. C9 (+ C12) + Y:\n Just Clueweb9_12+YAGO or Clueweb9+YAGO\n'''\n# wiki_yago_freq.compute_wiki(special_case=\"only_clueweb\", custom_main=clueweb_dict)\n# wiki_yago_freq.compute_custom()\n\n\n'''\n# 7. C9 (+ C12):\n Just Clueweb9_12 or ClueWeb9\n'''\n# wiki_yago_freq.compute_wiki(special_case=\"only_clueweb\", custom_main=clueweb_dict)\n\n\n# Store dictionary in sqlite3 database\nwiki_yago_freq.store()", "<docstring token>\nfrom REL.wikipedia import Wikipedia\nfrom REL.wikipedia_yago_freq import WikipediaYagoFreq\nimport json\nwiki_version = 'wiki_2019'\nbase_url = '/home/hvwesten/Projects/thesis/data/'\ninput_url = './save_folder/00_clueweb_full_9.json'\nprint(f'input_url: {input_url}')\nwith open(input_url, 'r') as f:\n clueweb_dict = json.load(f)\nprint('Loading wikipedia files')\nwikipedia = Wikipedia(base_url, wiki_version)\nwiki_yago_freq = WikipediaYagoFreq(base_url, wiki_version, wikipedia)\n<docstring token>\nwiki_yago_freq.compute_wiki()\nwiki_yago_freq.compute_custom()\n<docstring token>\nwiki_yago_freq.store()\n", "<docstring token>\n<import token>\nwiki_version = 'wiki_2019'\nbase_url = '/home/hvwesten/Projects/thesis/data/'\ninput_url = './save_folder/00_clueweb_full_9.json'\nprint(f'input_url: {input_url}')\nwith open(input_url, 'r') as f:\n clueweb_dict = json.load(f)\nprint('Loading wikipedia files')\nwikipedia = Wikipedia(base_url, wiki_version)\nwiki_yago_freq = WikipediaYagoFreq(base_url, wiki_version, wikipedia)\n<docstring token>\nwiki_yago_freq.compute_wiki()\nwiki_yago_freq.compute_custom()\n<docstring token>\nwiki_yago_freq.store()\n", "<docstring token>\n<import token>\n<assignment token>\nprint(f'input_url: {input_url}')\nwith open(input_url, 'r') as f:\n clueweb_dict = json.load(f)\nprint('Loading wikipedia files')\n<assignment token>\n<docstring token>\nwiki_yago_freq.compute_wiki()\nwiki_yago_freq.compute_custom()\n<docstring token>\nwiki_yago_freq.store()\n", "<docstring token>\n<import token>\n<assignment token>\n<code token>\n<assignment token>\n<docstring token>\n<code token>\n<docstring token>\n<code token>\n" ]
false
98,677
6d90cb43b14c291973161edf74a2939a08633d51
class Editor: def __init__(self, gridSize): self.gridSize = gridSize def draw(self, surface): pass
[ "\n\nclass Editor:\n\n def __init__(self, gridSize):\n self.gridSize = gridSize\n\n def draw(self, surface):\n pass", "class Editor:\n\n def __init__(self, gridSize):\n self.gridSize = gridSize\n\n def draw(self, surface):\n pass\n", "class Editor:\n\n def __init__(self, gridSize):\n self.gridSize = gridSize\n <function token>\n", "class Editor:\n <function token>\n <function token>\n", "<class token>\n" ]
false
98,678
1c9d4f16e43c2fb15dbcc97244a4818d83aaaca9
from unittest.mock import MagicMock import pytest from pydantic import ValidationError from ..common.model import WebsiteCheckResult def test_send_and_receive(kafka_sender, kafka_receiver, check_result): kafka_sender.send(check_result) data = kafka_receiver.pop() assert isinstance(data, WebsiteCheckResult), 'Invalid data type received' assert data == check_result, 'Received data should be the same as sent' def test_send_invalid_data(kafka_sender): data = 'test' with pytest.raises(AttributeError) as e: kafka_sender.send(data) assert f"'str' object has no attribute 'to_bytes'" in str(e.value) def test_receive_invalid_data(kafka_sender, kafka_receiver): data = MagicMock() data.to_bytes = lambda: str.encode('utf-8') kafka_sender.send(data) with pytest.raises(ValidationError) as e: kafka_receiver.pop() assert 'validation error for WebsiteCheckResult' in str(e.value)
[ "from unittest.mock import MagicMock\n\nimport pytest\nfrom pydantic import ValidationError\n\nfrom ..common.model import WebsiteCheckResult\n\n\ndef test_send_and_receive(kafka_sender, kafka_receiver, check_result):\n kafka_sender.send(check_result)\n data = kafka_receiver.pop()\n assert isinstance(data, WebsiteCheckResult), 'Invalid data type received'\n assert data == check_result, 'Received data should be the same as sent'\n\n\ndef test_send_invalid_data(kafka_sender):\n data = 'test'\n with pytest.raises(AttributeError) as e:\n kafka_sender.send(data)\n\n assert f\"'str' object has no attribute 'to_bytes'\" in str(e.value)\n\n\ndef test_receive_invalid_data(kafka_sender, kafka_receiver):\n data = MagicMock()\n data.to_bytes = lambda: str.encode('utf-8')\n kafka_sender.send(data)\n\n with pytest.raises(ValidationError) as e:\n kafka_receiver.pop()\n\n assert 'validation error for WebsiteCheckResult' in str(e.value)\n\n\n", "from unittest.mock import MagicMock\nimport pytest\nfrom pydantic import ValidationError\nfrom ..common.model import WebsiteCheckResult\n\n\ndef test_send_and_receive(kafka_sender, kafka_receiver, check_result):\n kafka_sender.send(check_result)\n data = kafka_receiver.pop()\n assert isinstance(data, WebsiteCheckResult), 'Invalid data type received'\n assert data == check_result, 'Received data should be the same as sent'\n\n\ndef test_send_invalid_data(kafka_sender):\n data = 'test'\n with pytest.raises(AttributeError) as e:\n kafka_sender.send(data)\n assert f\"'str' object has no attribute 'to_bytes'\" in str(e.value)\n\n\ndef test_receive_invalid_data(kafka_sender, kafka_receiver):\n data = MagicMock()\n data.to_bytes = lambda : str.encode('utf-8')\n kafka_sender.send(data)\n with pytest.raises(ValidationError) as e:\n kafka_receiver.pop()\n assert 'validation error for WebsiteCheckResult' in str(e.value)\n", "<import token>\n\n\ndef test_send_and_receive(kafka_sender, kafka_receiver, check_result):\n kafka_sender.send(check_result)\n data = kafka_receiver.pop()\n assert isinstance(data, WebsiteCheckResult), 'Invalid data type received'\n assert data == check_result, 'Received data should be the same as sent'\n\n\ndef test_send_invalid_data(kafka_sender):\n data = 'test'\n with pytest.raises(AttributeError) as e:\n kafka_sender.send(data)\n assert f\"'str' object has no attribute 'to_bytes'\" in str(e.value)\n\n\ndef test_receive_invalid_data(kafka_sender, kafka_receiver):\n data = MagicMock()\n data.to_bytes = lambda : str.encode('utf-8')\n kafka_sender.send(data)\n with pytest.raises(ValidationError) as e:\n kafka_receiver.pop()\n assert 'validation error for WebsiteCheckResult' in str(e.value)\n", "<import token>\n\n\ndef test_send_and_receive(kafka_sender, kafka_receiver, check_result):\n kafka_sender.send(check_result)\n data = kafka_receiver.pop()\n assert isinstance(data, WebsiteCheckResult), 'Invalid data type received'\n assert data == check_result, 'Received data should be the same as sent'\n\n\ndef test_send_invalid_data(kafka_sender):\n data = 'test'\n with pytest.raises(AttributeError) as e:\n kafka_sender.send(data)\n assert f\"'str' object has no attribute 'to_bytes'\" in str(e.value)\n\n\n<function token>\n", "<import token>\n\n\ndef test_send_and_receive(kafka_sender, kafka_receiver, check_result):\n kafka_sender.send(check_result)\n data = kafka_receiver.pop()\n assert isinstance(data, WebsiteCheckResult), 'Invalid data type received'\n assert data == check_result, 'Received data should be the same as sent'\n\n\n<function token>\n<function token>\n", "<import token>\n<function token>\n<function token>\n<function token>\n" ]
false
98,679
0025a95d04ed027f4a4318a925f168d6192b042e
from pygame.sprite import Sprite from nlc_dino_runner.utils.constants import SCREEN_WIDTH # Clase padre class Obstacles(Sprite): def __init__(self, image, obstacle_type): self.image = image self.obstacle_type = obstacle_type self.rect = self.image[self.obstacle_type].get_rect() #retorna una tupla(x,y) self.rect.x = SCREEN_WIDTH #1100 def update(self, game_speed, obstacles_list): self.rect.x -= game_speed if self.rect.x < -self.rect.width: obstacles_list.pop() def draw(self, screen): screen.blit(self.image[self.obstacle_type], self.rect)
[ "from pygame.sprite import Sprite\n\nfrom nlc_dino_runner.utils.constants import SCREEN_WIDTH\n# Clase padre\n\nclass Obstacles(Sprite):\n\n def __init__(self, image, obstacle_type):\n self.image = image\n self.obstacle_type = obstacle_type\n self.rect = self.image[self.obstacle_type].get_rect() #retorna una tupla(x,y)\n self.rect.x = SCREEN_WIDTH #1100\n\n def update(self, game_speed, obstacles_list):\n self.rect.x -= game_speed\n if self.rect.x < -self.rect.width:\n obstacles_list.pop()\n\n def draw(self, screen):\n screen.blit(self.image[self.obstacle_type], self.rect)\n", "from pygame.sprite import Sprite\nfrom nlc_dino_runner.utils.constants import SCREEN_WIDTH\n\n\nclass Obstacles(Sprite):\n\n def __init__(self, image, obstacle_type):\n self.image = image\n self.obstacle_type = obstacle_type\n self.rect = self.image[self.obstacle_type].get_rect()\n self.rect.x = SCREEN_WIDTH\n\n def update(self, game_speed, obstacles_list):\n self.rect.x -= game_speed\n if self.rect.x < -self.rect.width:\n obstacles_list.pop()\n\n def draw(self, screen):\n screen.blit(self.image[self.obstacle_type], self.rect)\n", "<import token>\n\n\nclass Obstacles(Sprite):\n\n def __init__(self, image, obstacle_type):\n self.image = image\n self.obstacle_type = obstacle_type\n self.rect = self.image[self.obstacle_type].get_rect()\n self.rect.x = SCREEN_WIDTH\n\n def update(self, game_speed, obstacles_list):\n self.rect.x -= game_speed\n if self.rect.x < -self.rect.width:\n obstacles_list.pop()\n\n def draw(self, screen):\n screen.blit(self.image[self.obstacle_type], self.rect)\n", "<import token>\n\n\nclass Obstacles(Sprite):\n\n def __init__(self, image, obstacle_type):\n self.image = image\n self.obstacle_type = obstacle_type\n self.rect = self.image[self.obstacle_type].get_rect()\n self.rect.x = SCREEN_WIDTH\n\n def update(self, game_speed, obstacles_list):\n self.rect.x -= game_speed\n if self.rect.x < -self.rect.width:\n obstacles_list.pop()\n <function token>\n", "<import token>\n\n\nclass Obstacles(Sprite):\n\n def __init__(self, image, obstacle_type):\n self.image = image\n self.obstacle_type = obstacle_type\n self.rect = self.image[self.obstacle_type].get_rect()\n self.rect.x = SCREEN_WIDTH\n <function token>\n <function token>\n", "<import token>\n\n\nclass Obstacles(Sprite):\n <function token>\n <function token>\n <function token>\n", "<import token>\n<class token>\n" ]
false
98,680
feb2212fb16c294d0b1fd124668d300ceb505f68
from .readData import readData from .readMarvel import readMarvel
[ "from .readData import readData\nfrom .readMarvel import readMarvel", "from .readData import readData\nfrom .readMarvel import readMarvel\n", "<import token>\n" ]
false
98,681
76fe2f541f16d73b2bb80c9b236af78dc1dad668
#!/usr/bin/python import yaml class Milgram: def __init__(self, graph, target): self.graph = graph self.target = target self.total_distance = 0 self.made_it = 0 def bfs(self, start): visited, queue = set(), [start] while queue: vertex = queue.pop(0) if vertex not in visited: visited.add(vertex) if vertex in self.graph: queue.extend(set(self.graph[vertex]) - visited) return visited def create_matrix(self): return [[0 for y in range(len(self.graph))] for x in range(len(self.graph))] def bfs_paths(self, start, goal): queue = [(start, [start])] while queue: (vertex, path) = queue.pop(0) if vertex in self.graph: for next in set(self.graph[vertex]) - set(path): if next == goal: yield path + [next] else: queue.append((next, path + [next])) def shortest_path(self, start, goal): try: return next(self.bfs_paths(start, goal)) except StopIteration: return None def run(self): for page in self.graph: print page distance = self.shortest_path(page, self.target) if distance is not None: self.total_distance += len(distance) - 1 self.made_it += 1 return float(self.total_distance) / float(self.made_it) if __name__ == '__main__': # f = open('wiki.json', 'r') # # j = yaml.load(f.read()) # # print('Loaded the graph') # # milgram = Milgram(j, 112875) # USA # # print milgram.run() milgram = Milgram({1: [2, 3], 2: [4], 99: [55]}, 4) print milgram.create_matrix()
[ "#!/usr/bin/python\n\nimport yaml\n\n\nclass Milgram:\n def __init__(self, graph, target):\n self.graph = graph\n self.target = target\n self.total_distance = 0\n self.made_it = 0\n\n def bfs(self, start):\n visited, queue = set(), [start]\n while queue:\n vertex = queue.pop(0)\n if vertex not in visited:\n visited.add(vertex)\n if vertex in self.graph:\n queue.extend(set(self.graph[vertex]) - visited)\n return visited\n\n def create_matrix(self):\n return [[0 for y in range(len(self.graph))] for x in range(len(self.graph))]\n\n def bfs_paths(self, start, goal):\n queue = [(start, [start])]\n while queue:\n (vertex, path) = queue.pop(0)\n if vertex in self.graph:\n for next in set(self.graph[vertex]) - set(path):\n if next == goal:\n yield path + [next]\n else:\n queue.append((next, path + [next]))\n\n def shortest_path(self, start, goal):\n try:\n return next(self.bfs_paths(start, goal))\n except StopIteration:\n return None\n\n def run(self):\n for page in self.graph:\n print page\n distance = self.shortest_path(page, self.target)\n\n if distance is not None:\n self.total_distance += len(distance) - 1\n self.made_it += 1\n\n return float(self.total_distance) / float(self.made_it)\n\n\nif __name__ == '__main__':\n # f = open('wiki.json', 'r')\n #\n # j = yaml.load(f.read())\n #\n # print('Loaded the graph')\n #\n # milgram = Milgram(j, 112875) # USA\n #\n # print milgram.run()\n\n milgram = Milgram({1: [2, 3], 2: [4], 99: [55]}, 4)\n print milgram.create_matrix()\n" ]
true
98,682
0a7371233f0f15366a51fdfafd57ba8d824cf007
""" Test cases for micro-grid systems The following systems are considered 1. AC micro-grid 2. DC micro-grid 3. Hybrid AC/DC micro-grid """
[ "\"\"\"\nTest cases for micro-grid systems\nThe following systems are considered\n1. AC micro-grid\n2. DC micro-grid\n3. Hybrid AC/DC micro-grid\n\"\"\"\n", "<docstring token>\n" ]
false
98,683
bfe53a6c20df5486579eec55cccfab0693658552
import pymongo import pandas as pd import datetime import matplotlib.pyplot as plt import matplotlib.dates as mdates DBserver = pymongo.MongoClient('mongodb://localhost:27017/') DB = DBserver['ir'] collection = DB['usermsgs'] quiz_set_four = {1, 2, 4, 5} quiz_set_six = {1, 2, 3, 4, 5, 6} name_set = set(sorted([int(item['username']) for item in collection.find()])) # print(len(name_set)) # print(name_set) quiz_item = [] for name in name_set: class_flag = -1 cut_flag = 0 temp_set = set() temp_item = [] for item in collection.find({'username': f"{str(name)}"}): if class_flag != item['quiz_class']: if not len(quiz_set_four.symmetric_difference(temp_set)): # print("SET class flag") cut_flag = 1 elif not len(quiz_set_six.symmetric_difference(temp_set)): # print("SET class flag") cut_flag = 1 if item['quiz_class'] == 3 or item['quiz_class'] == 6: temp_set.add(item['quiz_class']) class_flag = item['quiz_class'] continue if cut_flag == 1: # print("CUT") temp_set.clear() cut_flag = 0 # input("pause") temp_set.add(item['quiz_class']) class_flag = item['quiz_class'] temp_item.append(item) quiz_item.append(temp_item) # print("End") # input("pause") time_slot = [] for ind, item in enumerate(quiz_item): if len(time_slot) == 0: time_slot.append([ind]) continue flag=1 for j, current_time in enumerate(time_slot): if quiz_item[current_time[0]][0]['Msgdate'] - datetime.timedelta(minutes=8) <= item[0]['Msgdate'] <= quiz_item[current_time[0]][0]['Msgdate'] + datetime.timedelta(minutes=8): time_slot[j].append(ind) flag = 0 break if flag: time_slot.append([ind]) # df = pd.DataFrame(columns=['name', 'time_slot', 'mode', 'type', 'quiz_number', 'text']) output = [] simple_stack = [] for ind, item in enumerate(time_slot): for i in sorted(item): simple_stack.append(i) if len(simple_stack)>1: if simple_stack[-1]%2-1 == simple_stack[-2]%2: temp_output=quiz_item[i] temp_output+=quiz_item[i-1] output.append(temp_output) simple_stack.pop() simple_stack.pop() while len(simple_stack): output.append(quiz_item[simple_stack[-1]]) simple_stack.pop() # for i in output: # print(i) # 4 5 6 遠距 遠距聯想測驗.xlsx raw = pd.read_excel('遠距聯想測驗.xlsx') # print(raw[raw['版本'] == 1]['答案'][0]) # output = output[1:] for item in output: _score = [0, 0] _record_score = [[], []] _record_time = [[], []] class_flag = -1 if item[0]['Msgdate'] < datetime.datetime(year=2020, month=6, day=8): continue s = sorted(item, key=lambda x: x['Msgdate']) for i in range(len(item)): print(item[i]['Msgdate'], item[i]['username'], s[i]['Msgdate'], s[i]['username']) for ind, i in enumerate(s): if i['quiz_class'] > 3: if class_flag == -1: class_flag = i['quiz_class'] if class_flag != i['quiz_class']: print(_score[0], _score[1]) print(_record_score[0], _record_score[1]) print(_record_time[0], _record_time[1]) # ======================================================================== plt.gca().xaxis.set_major_formatter(mdates.DateFormatter("%H:%M")) plt.gca().xaxis.set_major_locator(mdates.HourLocator(interval=10)) plt.setp(plt.gca().xaxis.get_majorticklabels(), rotation=90) # Plot plt.plot(_record_time[0], _record_score[0], 'r-^') plt.plot(_record_time[1], _record_score[1], 'g-^') plt.show() _score = [0, 0] _record_score = [[], []] _record_time = [[], []] class_flag = -1 else: try: _tmp = raw[raw['版本'] == i['quiz_class']-3]['答案'].values[i['quiz_no']] except: print(i['Msgdate']) break # print(_tmp.strip()) _score[int(i['username'])%2] += int(_tmp.strip() == i['quiz_ans']) _record_score[int(i['username'])%2].append(_score[int(i['username'])%2]) _record_time[int(i['username'])%2].append(i['Msgdate'].strftime("%H:%M:%S")) class_flag = i['quiz_class'] # d = { # 'name':[item['username']], # 'time_slot':[], # 'mode':[], # 'type':[], # 'quiz_number':[], # 'action_number':[] # } # df.append(d) # print(datestr) # print(type(item)) # print(time_slot) # print(len(time_slot))
[ "import pymongo\nimport pandas as pd\nimport datetime\nimport matplotlib.pyplot as plt\nimport matplotlib.dates as mdates\nDBserver = pymongo.MongoClient('mongodb://localhost:27017/')\nDB = DBserver['ir']\ncollection = DB['usermsgs']\n\nquiz_set_four = {1, 2, 4, 5}\nquiz_set_six = {1, 2, 3, 4, 5, 6}\n\nname_set = set(sorted([int(item['username']) for item in collection.find()]))\n# print(len(name_set))\n# print(name_set)\n\nquiz_item = []\nfor name in name_set:\n\n class_flag = -1\n cut_flag = 0\n temp_set = set()\n temp_item = []\n for item in collection.find({'username': f\"{str(name)}\"}):\n\n if class_flag != item['quiz_class']:\n\n if not len(quiz_set_four.symmetric_difference(temp_set)):\n # print(\"SET class flag\")\n cut_flag = 1\n elif not len(quiz_set_six.symmetric_difference(temp_set)):\n # print(\"SET class flag\")\n cut_flag = 1\n\n if item['quiz_class'] == 3 or item['quiz_class'] == 6:\n temp_set.add(item['quiz_class'])\n class_flag = item['quiz_class']\n continue\n\n if cut_flag == 1:\n # print(\"CUT\")\n temp_set.clear()\n cut_flag = 0\n # input(\"pause\")\n\n temp_set.add(item['quiz_class'])\n class_flag = item['quiz_class']\n\n temp_item.append(item)\n\n quiz_item.append(temp_item)\n # print(\"End\")\n # input(\"pause\")\n\ntime_slot = []\nfor ind, item in enumerate(quiz_item):\n if len(time_slot) == 0:\n time_slot.append([ind])\n continue\n flag=1\n for j, current_time in enumerate(time_slot):\n if quiz_item[current_time[0]][0]['Msgdate'] - datetime.timedelta(minutes=8) <= item[0]['Msgdate'] <= quiz_item[current_time[0]][0]['Msgdate'] + datetime.timedelta(minutes=8):\n time_slot[j].append(ind)\n flag = 0\n break\n if flag:\n time_slot.append([ind])\n\n\n# df = pd.DataFrame(columns=['name', 'time_slot', 'mode', 'type', 'quiz_number', 'text'])\noutput = []\nsimple_stack = []\nfor ind, item in enumerate(time_slot):\n for i in sorted(item):\n simple_stack.append(i)\n if len(simple_stack)>1:\n if simple_stack[-1]%2-1 == simple_stack[-2]%2:\n temp_output=quiz_item[i]\n temp_output+=quiz_item[i-1]\n output.append(temp_output)\n simple_stack.pop()\n simple_stack.pop()\n\n\n while len(simple_stack):\n output.append(quiz_item[simple_stack[-1]])\n simple_stack.pop()\n\n# for i in output:\n# print(i)\n\n# 4 5 6 遠距 遠距聯想測驗.xlsx\nraw = pd.read_excel('遠距聯想測驗.xlsx')\n# print(raw[raw['版本'] == 1]['答案'][0])\n# output = output[1:]\nfor item in output:\n _score = [0, 0]\n _record_score = [[], []]\n _record_time = [[], []]\n class_flag = -1\n\n if item[0]['Msgdate'] < datetime.datetime(year=2020, month=6, day=8):\n continue\n\n s = sorted(item, key=lambda x: x['Msgdate'])\n for i in range(len(item)):\n print(item[i]['Msgdate'], item[i]['username'], s[i]['Msgdate'], s[i]['username'])\n for ind, i in enumerate(s):\n if i['quiz_class'] > 3:\n if class_flag == -1:\n class_flag = i['quiz_class']\n\n if class_flag != i['quiz_class']:\n print(_score[0], _score[1])\n print(_record_score[0], _record_score[1])\n print(_record_time[0], _record_time[1])\n\n # ========================================================================\n\n plt.gca().xaxis.set_major_formatter(mdates.DateFormatter(\"%H:%M\"))\n plt.gca().xaxis.set_major_locator(mdates.HourLocator(interval=10))\n plt.setp(plt.gca().xaxis.get_majorticklabels(), rotation=90)\n # Plot\n plt.plot(_record_time[0], _record_score[0], 'r-^')\n plt.plot(_record_time[1], _record_score[1], 'g-^')\n plt.show()\n\n _score = [0, 0]\n _record_score = [[], []]\n _record_time = [[], []]\n class_flag = -1\n else:\n try:\n _tmp = raw[raw['版本'] == i['quiz_class']-3]['答案'].values[i['quiz_no']]\n except:\n print(i['Msgdate'])\n break\n # print(_tmp.strip())\n _score[int(i['username'])%2] += int(_tmp.strip() == i['quiz_ans'])\n _record_score[int(i['username'])%2].append(_score[int(i['username'])%2])\n _record_time[int(i['username'])%2].append(i['Msgdate'].strftime(\"%H:%M:%S\"))\n class_flag = i['quiz_class']\n # d = {\n # 'name':[item['username']],\n # 'time_slot':[],\n # 'mode':[],\n # 'type':[],\n # 'quiz_number':[],\n # 'action_number':[]\n # }\n # df.append(d)\n\n # print(datestr)\n\n # print(type(item))\n# print(time_slot)\n# print(len(time_slot))\n\n\n\n\n\n", "import pymongo\nimport pandas as pd\nimport datetime\nimport matplotlib.pyplot as plt\nimport matplotlib.dates as mdates\nDBserver = pymongo.MongoClient('mongodb://localhost:27017/')\nDB = DBserver['ir']\ncollection = DB['usermsgs']\nquiz_set_four = {1, 2, 4, 5}\nquiz_set_six = {1, 2, 3, 4, 5, 6}\nname_set = set(sorted([int(item['username']) for item in collection.find()]))\nquiz_item = []\nfor name in name_set:\n class_flag = -1\n cut_flag = 0\n temp_set = set()\n temp_item = []\n for item in collection.find({'username': f'{str(name)}'}):\n if class_flag != item['quiz_class']:\n if not len(quiz_set_four.symmetric_difference(temp_set)):\n cut_flag = 1\n elif not len(quiz_set_six.symmetric_difference(temp_set)):\n cut_flag = 1\n if item['quiz_class'] == 3 or item['quiz_class'] == 6:\n temp_set.add(item['quiz_class'])\n class_flag = item['quiz_class']\n continue\n if cut_flag == 1:\n temp_set.clear()\n cut_flag = 0\n temp_set.add(item['quiz_class'])\n class_flag = item['quiz_class']\n temp_item.append(item)\n quiz_item.append(temp_item)\ntime_slot = []\nfor ind, item in enumerate(quiz_item):\n if len(time_slot) == 0:\n time_slot.append([ind])\n continue\n flag = 1\n for j, current_time in enumerate(time_slot):\n if quiz_item[current_time[0]][0]['Msgdate'] - datetime.timedelta(\n minutes=8) <= item[0]['Msgdate'] <= quiz_item[current_time[0]][0][\n 'Msgdate'] + datetime.timedelta(minutes=8):\n time_slot[j].append(ind)\n flag = 0\n break\n if flag:\n time_slot.append([ind])\noutput = []\nsimple_stack = []\nfor ind, item in enumerate(time_slot):\n for i in sorted(item):\n simple_stack.append(i)\n if len(simple_stack) > 1:\n if simple_stack[-1] % 2 - 1 == simple_stack[-2] % 2:\n temp_output = quiz_item[i]\n temp_output += quiz_item[i - 1]\n output.append(temp_output)\n simple_stack.pop()\n simple_stack.pop()\n while len(simple_stack):\n output.append(quiz_item[simple_stack[-1]])\n simple_stack.pop()\nraw = pd.read_excel('遠距聯想測驗.xlsx')\nfor item in output:\n _score = [0, 0]\n _record_score = [[], []]\n _record_time = [[], []]\n class_flag = -1\n if item[0]['Msgdate'] < datetime.datetime(year=2020, month=6, day=8):\n continue\n s = sorted(item, key=lambda x: x['Msgdate'])\n for i in range(len(item)):\n print(item[i]['Msgdate'], item[i]['username'], s[i]['Msgdate'], s[i\n ]['username'])\n for ind, i in enumerate(s):\n if i['quiz_class'] > 3:\n if class_flag == -1:\n class_flag = i['quiz_class']\n if class_flag != i['quiz_class']:\n print(_score[0], _score[1])\n print(_record_score[0], _record_score[1])\n print(_record_time[0], _record_time[1])\n plt.gca().xaxis.set_major_formatter(mdates.DateFormatter(\n '%H:%M'))\n plt.gca().xaxis.set_major_locator(mdates.HourLocator(\n interval=10))\n plt.setp(plt.gca().xaxis.get_majorticklabels(), rotation=90)\n plt.plot(_record_time[0], _record_score[0], 'r-^')\n plt.plot(_record_time[1], _record_score[1], 'g-^')\n plt.show()\n _score = [0, 0]\n _record_score = [[], []]\n _record_time = [[], []]\n class_flag = -1\n else:\n try:\n _tmp = raw[raw['版本'] == i['quiz_class'] - 3]['答案'].values[i\n ['quiz_no']]\n except:\n print(i['Msgdate'])\n break\n _score[int(i['username']) % 2] += int(_tmp.strip() == i[\n 'quiz_ans'])\n _record_score[int(i['username']) % 2].append(_score[int(i[\n 'username']) % 2])\n _record_time[int(i['username']) % 2].append(i['Msgdate'].\n strftime('%H:%M:%S'))\n class_flag = i['quiz_class']\n", "<import token>\nDBserver = pymongo.MongoClient('mongodb://localhost:27017/')\nDB = DBserver['ir']\ncollection = DB['usermsgs']\nquiz_set_four = {1, 2, 4, 5}\nquiz_set_six = {1, 2, 3, 4, 5, 6}\nname_set = set(sorted([int(item['username']) for item in collection.find()]))\nquiz_item = []\nfor name in name_set:\n class_flag = -1\n cut_flag = 0\n temp_set = set()\n temp_item = []\n for item in collection.find({'username': f'{str(name)}'}):\n if class_flag != item['quiz_class']:\n if not len(quiz_set_four.symmetric_difference(temp_set)):\n cut_flag = 1\n elif not len(quiz_set_six.symmetric_difference(temp_set)):\n cut_flag = 1\n if item['quiz_class'] == 3 or item['quiz_class'] == 6:\n temp_set.add(item['quiz_class'])\n class_flag = item['quiz_class']\n continue\n if cut_flag == 1:\n temp_set.clear()\n cut_flag = 0\n temp_set.add(item['quiz_class'])\n class_flag = item['quiz_class']\n temp_item.append(item)\n quiz_item.append(temp_item)\ntime_slot = []\nfor ind, item in enumerate(quiz_item):\n if len(time_slot) == 0:\n time_slot.append([ind])\n continue\n flag = 1\n for j, current_time in enumerate(time_slot):\n if quiz_item[current_time[0]][0]['Msgdate'] - datetime.timedelta(\n minutes=8) <= item[0]['Msgdate'] <= quiz_item[current_time[0]][0][\n 'Msgdate'] + datetime.timedelta(minutes=8):\n time_slot[j].append(ind)\n flag = 0\n break\n if flag:\n time_slot.append([ind])\noutput = []\nsimple_stack = []\nfor ind, item in enumerate(time_slot):\n for i in sorted(item):\n simple_stack.append(i)\n if len(simple_stack) > 1:\n if simple_stack[-1] % 2 - 1 == simple_stack[-2] % 2:\n temp_output = quiz_item[i]\n temp_output += quiz_item[i - 1]\n output.append(temp_output)\n simple_stack.pop()\n simple_stack.pop()\n while len(simple_stack):\n output.append(quiz_item[simple_stack[-1]])\n simple_stack.pop()\nraw = pd.read_excel('遠距聯想測驗.xlsx')\nfor item in output:\n _score = [0, 0]\n _record_score = [[], []]\n _record_time = [[], []]\n class_flag = -1\n if item[0]['Msgdate'] < datetime.datetime(year=2020, month=6, day=8):\n continue\n s = sorted(item, key=lambda x: x['Msgdate'])\n for i in range(len(item)):\n print(item[i]['Msgdate'], item[i]['username'], s[i]['Msgdate'], s[i\n ]['username'])\n for ind, i in enumerate(s):\n if i['quiz_class'] > 3:\n if class_flag == -1:\n class_flag = i['quiz_class']\n if class_flag != i['quiz_class']:\n print(_score[0], _score[1])\n print(_record_score[0], _record_score[1])\n print(_record_time[0], _record_time[1])\n plt.gca().xaxis.set_major_formatter(mdates.DateFormatter(\n '%H:%M'))\n plt.gca().xaxis.set_major_locator(mdates.HourLocator(\n interval=10))\n plt.setp(plt.gca().xaxis.get_majorticklabels(), rotation=90)\n plt.plot(_record_time[0], _record_score[0], 'r-^')\n plt.plot(_record_time[1], _record_score[1], 'g-^')\n plt.show()\n _score = [0, 0]\n _record_score = [[], []]\n _record_time = [[], []]\n class_flag = -1\n else:\n try:\n _tmp = raw[raw['版本'] == i['quiz_class'] - 3]['答案'].values[i\n ['quiz_no']]\n except:\n print(i['Msgdate'])\n break\n _score[int(i['username']) % 2] += int(_tmp.strip() == i[\n 'quiz_ans'])\n _record_score[int(i['username']) % 2].append(_score[int(i[\n 'username']) % 2])\n _record_time[int(i['username']) % 2].append(i['Msgdate'].\n strftime('%H:%M:%S'))\n class_flag = i['quiz_class']\n", "<import token>\n<assignment token>\nfor name in name_set:\n class_flag = -1\n cut_flag = 0\n temp_set = set()\n temp_item = []\n for item in collection.find({'username': f'{str(name)}'}):\n if class_flag != item['quiz_class']:\n if not len(quiz_set_four.symmetric_difference(temp_set)):\n cut_flag = 1\n elif not len(quiz_set_six.symmetric_difference(temp_set)):\n cut_flag = 1\n if item['quiz_class'] == 3 or item['quiz_class'] == 6:\n temp_set.add(item['quiz_class'])\n class_flag = item['quiz_class']\n continue\n if cut_flag == 1:\n temp_set.clear()\n cut_flag = 0\n temp_set.add(item['quiz_class'])\n class_flag = item['quiz_class']\n temp_item.append(item)\n quiz_item.append(temp_item)\n<assignment token>\nfor ind, item in enumerate(quiz_item):\n if len(time_slot) == 0:\n time_slot.append([ind])\n continue\n flag = 1\n for j, current_time in enumerate(time_slot):\n if quiz_item[current_time[0]][0]['Msgdate'] - datetime.timedelta(\n minutes=8) <= item[0]['Msgdate'] <= quiz_item[current_time[0]][0][\n 'Msgdate'] + datetime.timedelta(minutes=8):\n time_slot[j].append(ind)\n flag = 0\n break\n if flag:\n time_slot.append([ind])\n<assignment token>\nfor ind, item in enumerate(time_slot):\n for i in sorted(item):\n simple_stack.append(i)\n if len(simple_stack) > 1:\n if simple_stack[-1] % 2 - 1 == simple_stack[-2] % 2:\n temp_output = quiz_item[i]\n temp_output += quiz_item[i - 1]\n output.append(temp_output)\n simple_stack.pop()\n simple_stack.pop()\n while len(simple_stack):\n output.append(quiz_item[simple_stack[-1]])\n simple_stack.pop()\n<assignment token>\nfor item in output:\n _score = [0, 0]\n _record_score = [[], []]\n _record_time = [[], []]\n class_flag = -1\n if item[0]['Msgdate'] < datetime.datetime(year=2020, month=6, day=8):\n continue\n s = sorted(item, key=lambda x: x['Msgdate'])\n for i in range(len(item)):\n print(item[i]['Msgdate'], item[i]['username'], s[i]['Msgdate'], s[i\n ]['username'])\n for ind, i in enumerate(s):\n if i['quiz_class'] > 3:\n if class_flag == -1:\n class_flag = i['quiz_class']\n if class_flag != i['quiz_class']:\n print(_score[0], _score[1])\n print(_record_score[0], _record_score[1])\n print(_record_time[0], _record_time[1])\n plt.gca().xaxis.set_major_formatter(mdates.DateFormatter(\n '%H:%M'))\n plt.gca().xaxis.set_major_locator(mdates.HourLocator(\n interval=10))\n plt.setp(plt.gca().xaxis.get_majorticklabels(), rotation=90)\n plt.plot(_record_time[0], _record_score[0], 'r-^')\n plt.plot(_record_time[1], _record_score[1], 'g-^')\n plt.show()\n _score = [0, 0]\n _record_score = [[], []]\n _record_time = [[], []]\n class_flag = -1\n else:\n try:\n _tmp = raw[raw['版本'] == i['quiz_class'] - 3]['答案'].values[i\n ['quiz_no']]\n except:\n print(i['Msgdate'])\n break\n _score[int(i['username']) % 2] += int(_tmp.strip() == i[\n 'quiz_ans'])\n _record_score[int(i['username']) % 2].append(_score[int(i[\n 'username']) % 2])\n _record_time[int(i['username']) % 2].append(i['Msgdate'].\n strftime('%H:%M:%S'))\n class_flag = i['quiz_class']\n", "<import token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n" ]
false
98,684
6cf0c3a7a91701b39e66b48d9ee365cac8040020
from PyQt4.QtCore import * from PyQt4.QtGui import * from qgis.core import * from qgis.utils import * ##CEREMA=group ##reseau=vector line ##prefixe=optional string ##sens= field reseau ##fichier_noeuds=output vector layer=processing.getObject(reseau) nom_champs=[] for i in layer.dataProvider().fields(): nom_champs.append(i.name()) if ("i" not in nom_champs): layer.dataProvider().addAttributes([QgsField("i",QVariant.String,len=15)]) if ("j" not in nom_champs): layer.dataProvider().addAttributes([QgsField("j",QVariant.String,len=15)]) if ("ij" not in nom_champs): layer.dataProvider().addAttributes([QgsField("ij",QVariant.String,len=31)]) layer.updateFields() layer.commitChanges() ida=layer.fieldNameIndex("i") idb=layer.fieldNameIndex("j") idij=layer.fieldNameIndex("ij") lines=layer.getFeatures() noeuds={} nom_fichier=fichier_noeuds champs=QgsFields() champs.append(QgsField("num",QVariant.String,len=35)) champs.append(QgsField("nb",QVariant.Int)) table_noeuds=QgsVectorFileWriter(nom_fichier,"UTF-8",champs,QGis.WKBPoint,layer.crs(),"ESRI Shapefile") src=QgsCoordinateReferenceSystem(layer.crs()) dest=QgsCoordinateReferenceSystem(4326) xtr=QgsCoordinateTransform(src,dest) for ligne in lines: gligne=ligne.geometry() if ligne[sens]=='1': if gligne.wkbType()==QGis.WKBMultiLineString: g=gligne.asMultiPolyline() na=g[0][0] liba=str(int(xtr.transform(na)[0]*1e6+180*1e6)).zfill(9)+str(int(xtr.transform(na)[1]*1e6+180*1e6)).zfill(9) nb=g[-1][-1] libb=str(int(xtr.transform(nb)[0]*1e6+180*1e6)).zfill(9)+str(int(xtr.transform(nb)[1]*1e6+180*1e6)).zfill(9) elif gligne.wkbType()==QGis.WKBLineString: g=gligne.asPolyline() na=g[0] liba=str(int(xtr.transform(na)[0]*1e6+180*1e6)).zfill(9)+str(int(xtr.transform(na)[1]*1e6+180*1e6)).zfill(9) nb=g[-1] libb=str(int(xtr.transform(nb)[0]*1e6+180*1e6)).zfill(9)+str(int(xtr.transform(nb)[1]*1e6+180*1e6)).zfill(9) if (na not in noeuds): noeuds[na]=(prefixe+liba,1) else: noeuds[na]=(prefixe+liba,noeuds[na][1]+1) if (nb not in noeuds): noeuds[nb]=(prefixe+libb,1) else: noeuds[nb]=(prefixe+libb,noeuds[nb][1]+1) #outs=open("c:/temp/noeuds.txt","w") for i,n in enumerate(noeuds): node=QgsFeature() node.setGeometry(QgsGeometry.fromPoint(QgsPoint(n[0],n[1]))) #node.setAttributes([noeuds[n]]) node.setAttributes([noeuds[n][0],noeuds[n][1]]) table_noeuds.addFeature(node) #outs.write(str(n)+";"+str(noeuds[n])+"\n") del table_noeuds #outs.close() lines=layer.getFeatures() layer.startEditing() layer.beginEditCommand(QCoreApplication.translate("Building graph","Building graph")) for ligne in lines: if ligne[sens]==1: gligne=ligne.geometry() if gligne.wkbType()==QGis.WKBMultiLineString: g=gligne.asMultiPolyline() na=g[0][0] nb=g[-1][-1] liba=str(int(xtr.transform(na)[0]*1e6+180*1e6)).zfill(9)+str(int(xtr.transform(na)[1]*1e6+180*1e6)).zfill(9) libb=str(int(xtr.transform(nb)[0]*1e6+180*1e6)).zfill(9)+str(int(xtr.transform(nb)[1]*1e6+180*1e6)).zfill(9) elif gligne.wkbType()==QGis.WKBLineString: g=gligne.asPolyline() na=g[0] nb=g[-1] liba=str(int(xtr.transform(na)[0]*1e6+180*1e6)).zfill(9)+str(int(xtr.transform(na)[1]*1e6+180*1e6)).zfill(9) libb=str(int(xtr.transform(nb)[0]*1e6+180*1e6)).zfill(9)+str(int(xtr.transform(nb)[1]*1e6+180*1e6)).zfill(9) id=ligne.id() #valid={ida : noeuds[na], idb: noeuds[nb]} layer.changeAttributeValue(id,ida, noeuds[na]) layer.changeAttributeValue(id,idb, noeuds[nb]) layer.changeAttributeValue(id,idij, noeuds[na]+"-"+noeuds[nb]) layer.endEditCommand() layer.commitChanges()
[ "from PyQt4.QtCore import *\nfrom PyQt4.QtGui import *\nfrom qgis.core import *\nfrom qgis.utils import *\n\n##CEREMA=group\n##reseau=vector line\n##prefixe=optional string\n##sens= field reseau\n##fichier_noeuds=output vector\n\n\n\nlayer=processing.getObject(reseau)\nnom_champs=[]\nfor i in layer.dataProvider().fields():\n nom_champs.append(i.name())\nif (\"i\" not in nom_champs):\n layer.dataProvider().addAttributes([QgsField(\"i\",QVariant.String,len=15)])\nif (\"j\" not in nom_champs):\n layer.dataProvider().addAttributes([QgsField(\"j\",QVariant.String,len=15)])\nif (\"ij\" not in nom_champs):\n layer.dataProvider().addAttributes([QgsField(\"ij\",QVariant.String,len=31)])\nlayer.updateFields()\nlayer.commitChanges()\nida=layer.fieldNameIndex(\"i\")\nidb=layer.fieldNameIndex(\"j\")\nidij=layer.fieldNameIndex(\"ij\")\nlines=layer.getFeatures()\nnoeuds={}\nnom_fichier=fichier_noeuds\nchamps=QgsFields()\nchamps.append(QgsField(\"num\",QVariant.String,len=35))\nchamps.append(QgsField(\"nb\",QVariant.Int))\ntable_noeuds=QgsVectorFileWriter(nom_fichier,\"UTF-8\",champs,QGis.WKBPoint,layer.crs(),\"ESRI Shapefile\")\nsrc=QgsCoordinateReferenceSystem(layer.crs())\ndest=QgsCoordinateReferenceSystem(4326)\nxtr=QgsCoordinateTransform(src,dest)\nfor ligne in lines:\n gligne=ligne.geometry()\n if ligne[sens]=='1':\n if gligne.wkbType()==QGis.WKBMultiLineString:\n g=gligne.asMultiPolyline()\n na=g[0][0]\n liba=str(int(xtr.transform(na)[0]*1e6+180*1e6)).zfill(9)+str(int(xtr.transform(na)[1]*1e6+180*1e6)).zfill(9)\n nb=g[-1][-1]\n libb=str(int(xtr.transform(nb)[0]*1e6+180*1e6)).zfill(9)+str(int(xtr.transform(nb)[1]*1e6+180*1e6)).zfill(9)\n \n elif gligne.wkbType()==QGis.WKBLineString:\n g=gligne.asPolyline()\n na=g[0]\n liba=str(int(xtr.transform(na)[0]*1e6+180*1e6)).zfill(9)+str(int(xtr.transform(na)[1]*1e6+180*1e6)).zfill(9)\n nb=g[-1]\n libb=str(int(xtr.transform(nb)[0]*1e6+180*1e6)).zfill(9)+str(int(xtr.transform(nb)[1]*1e6+180*1e6)).zfill(9)\n if (na not in noeuds):\n noeuds[na]=(prefixe+liba,1)\n else:\n noeuds[na]=(prefixe+liba,noeuds[na][1]+1)\n if (nb not in noeuds):\n noeuds[nb]=(prefixe+libb,1)\n else:\n noeuds[nb]=(prefixe+libb,noeuds[nb][1]+1)\n#outs=open(\"c:/temp/noeuds.txt\",\"w\")\nfor i,n in enumerate(noeuds):\n node=QgsFeature()\n node.setGeometry(QgsGeometry.fromPoint(QgsPoint(n[0],n[1])))\n #node.setAttributes([noeuds[n]])\n node.setAttributes([noeuds[n][0],noeuds[n][1]])\n table_noeuds.addFeature(node)\n#outs.write(str(n)+\";\"+str(noeuds[n])+\"\\n\")\ndel table_noeuds\n#outs.close()\nlines=layer.getFeatures()\nlayer.startEditing()\nlayer.beginEditCommand(QCoreApplication.translate(\"Building graph\",\"Building graph\"))\nfor ligne in lines:\n if ligne[sens]==1:\n gligne=ligne.geometry()\n if gligne.wkbType()==QGis.WKBMultiLineString:\n \n g=gligne.asMultiPolyline()\n\n na=g[0][0]\n nb=g[-1][-1]\n liba=str(int(xtr.transform(na)[0]*1e6+180*1e6)).zfill(9)+str(int(xtr.transform(na)[1]*1e6+180*1e6)).zfill(9)\n libb=str(int(xtr.transform(nb)[0]*1e6+180*1e6)).zfill(9)+str(int(xtr.transform(nb)[1]*1e6+180*1e6)).zfill(9)\n elif gligne.wkbType()==QGis.WKBLineString:\n\n g=gligne.asPolyline()\n na=g[0]\n nb=g[-1]\n liba=str(int(xtr.transform(na)[0]*1e6+180*1e6)).zfill(9)+str(int(xtr.transform(na)[1]*1e6+180*1e6)).zfill(9)\n\n libb=str(int(xtr.transform(nb)[0]*1e6+180*1e6)).zfill(9)+str(int(xtr.transform(nb)[1]*1e6+180*1e6)).zfill(9)\n\n\n id=ligne.id()\n #valid={ida : noeuds[na], idb: noeuds[nb]}\n\n layer.changeAttributeValue(id,ida, noeuds[na])\n layer.changeAttributeValue(id,idb, noeuds[nb])\n layer.changeAttributeValue(id,idij, noeuds[na]+\"-\"+noeuds[nb])\n\nlayer.endEditCommand()\nlayer.commitChanges()\n", "from PyQt4.QtCore import *\nfrom PyQt4.QtGui import *\nfrom qgis.core import *\nfrom qgis.utils import *\nlayer = processing.getObject(reseau)\nnom_champs = []\nfor i in layer.dataProvider().fields():\n nom_champs.append(i.name())\nif 'i' not in nom_champs:\n layer.dataProvider().addAttributes([QgsField('i', QVariant.String, len=15)]\n )\nif 'j' not in nom_champs:\n layer.dataProvider().addAttributes([QgsField('j', QVariant.String, len=15)]\n )\nif 'ij' not in nom_champs:\n layer.dataProvider().addAttributes([QgsField('ij', QVariant.String, len\n =31)])\nlayer.updateFields()\nlayer.commitChanges()\nida = layer.fieldNameIndex('i')\nidb = layer.fieldNameIndex('j')\nidij = layer.fieldNameIndex('ij')\nlines = layer.getFeatures()\nnoeuds = {}\nnom_fichier = fichier_noeuds\nchamps = QgsFields()\nchamps.append(QgsField('num', QVariant.String, len=35))\nchamps.append(QgsField('nb', QVariant.Int))\ntable_noeuds = QgsVectorFileWriter(nom_fichier, 'UTF-8', champs, QGis.\n WKBPoint, layer.crs(), 'ESRI Shapefile')\nsrc = QgsCoordinateReferenceSystem(layer.crs())\ndest = QgsCoordinateReferenceSystem(4326)\nxtr = QgsCoordinateTransform(src, dest)\nfor ligne in lines:\n gligne = ligne.geometry()\n if ligne[sens] == '1':\n if gligne.wkbType() == QGis.WKBMultiLineString:\n g = gligne.asMultiPolyline()\n na = g[0][0]\n liba = str(int(xtr.transform(na)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(na)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n nb = g[-1][-1]\n libb = str(int(xtr.transform(nb)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(nb)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n elif gligne.wkbType() == QGis.WKBLineString:\n g = gligne.asPolyline()\n na = g[0]\n liba = str(int(xtr.transform(na)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(na)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n nb = g[-1]\n libb = str(int(xtr.transform(nb)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(nb)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n if na not in noeuds:\n noeuds[na] = prefixe + liba, 1\n else:\n noeuds[na] = prefixe + liba, noeuds[na][1] + 1\n if nb not in noeuds:\n noeuds[nb] = prefixe + libb, 1\n else:\n noeuds[nb] = prefixe + libb, noeuds[nb][1] + 1\nfor i, n in enumerate(noeuds):\n node = QgsFeature()\n node.setGeometry(QgsGeometry.fromPoint(QgsPoint(n[0], n[1])))\n node.setAttributes([noeuds[n][0], noeuds[n][1]])\n table_noeuds.addFeature(node)\ndel table_noeuds\nlines = layer.getFeatures()\nlayer.startEditing()\nlayer.beginEditCommand(QCoreApplication.translate('Building graph',\n 'Building graph'))\nfor ligne in lines:\n if ligne[sens] == 1:\n gligne = ligne.geometry()\n if gligne.wkbType() == QGis.WKBMultiLineString:\n g = gligne.asMultiPolyline()\n na = g[0][0]\n nb = g[-1][-1]\n liba = str(int(xtr.transform(na)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(na)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n libb = str(int(xtr.transform(nb)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(nb)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n elif gligne.wkbType() == QGis.WKBLineString:\n g = gligne.asPolyline()\n na = g[0]\n nb = g[-1]\n liba = str(int(xtr.transform(na)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(na)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n libb = str(int(xtr.transform(nb)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(nb)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n id = ligne.id()\n layer.changeAttributeValue(id, ida, noeuds[na])\n layer.changeAttributeValue(id, idb, noeuds[nb])\n layer.changeAttributeValue(id, idij, noeuds[na] + '-' + noeuds[nb])\nlayer.endEditCommand()\nlayer.commitChanges()\n", "<import token>\nlayer = processing.getObject(reseau)\nnom_champs = []\nfor i in layer.dataProvider().fields():\n nom_champs.append(i.name())\nif 'i' not in nom_champs:\n layer.dataProvider().addAttributes([QgsField('i', QVariant.String, len=15)]\n )\nif 'j' not in nom_champs:\n layer.dataProvider().addAttributes([QgsField('j', QVariant.String, len=15)]\n )\nif 'ij' not in nom_champs:\n layer.dataProvider().addAttributes([QgsField('ij', QVariant.String, len\n =31)])\nlayer.updateFields()\nlayer.commitChanges()\nida = layer.fieldNameIndex('i')\nidb = layer.fieldNameIndex('j')\nidij = layer.fieldNameIndex('ij')\nlines = layer.getFeatures()\nnoeuds = {}\nnom_fichier = fichier_noeuds\nchamps = QgsFields()\nchamps.append(QgsField('num', QVariant.String, len=35))\nchamps.append(QgsField('nb', QVariant.Int))\ntable_noeuds = QgsVectorFileWriter(nom_fichier, 'UTF-8', champs, QGis.\n WKBPoint, layer.crs(), 'ESRI Shapefile')\nsrc = QgsCoordinateReferenceSystem(layer.crs())\ndest = QgsCoordinateReferenceSystem(4326)\nxtr = QgsCoordinateTransform(src, dest)\nfor ligne in lines:\n gligne = ligne.geometry()\n if ligne[sens] == '1':\n if gligne.wkbType() == QGis.WKBMultiLineString:\n g = gligne.asMultiPolyline()\n na = g[0][0]\n liba = str(int(xtr.transform(na)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(na)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n nb = g[-1][-1]\n libb = str(int(xtr.transform(nb)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(nb)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n elif gligne.wkbType() == QGis.WKBLineString:\n g = gligne.asPolyline()\n na = g[0]\n liba = str(int(xtr.transform(na)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(na)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n nb = g[-1]\n libb = str(int(xtr.transform(nb)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(nb)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n if na not in noeuds:\n noeuds[na] = prefixe + liba, 1\n else:\n noeuds[na] = prefixe + liba, noeuds[na][1] + 1\n if nb not in noeuds:\n noeuds[nb] = prefixe + libb, 1\n else:\n noeuds[nb] = prefixe + libb, noeuds[nb][1] + 1\nfor i, n in enumerate(noeuds):\n node = QgsFeature()\n node.setGeometry(QgsGeometry.fromPoint(QgsPoint(n[0], n[1])))\n node.setAttributes([noeuds[n][0], noeuds[n][1]])\n table_noeuds.addFeature(node)\ndel table_noeuds\nlines = layer.getFeatures()\nlayer.startEditing()\nlayer.beginEditCommand(QCoreApplication.translate('Building graph',\n 'Building graph'))\nfor ligne in lines:\n if ligne[sens] == 1:\n gligne = ligne.geometry()\n if gligne.wkbType() == QGis.WKBMultiLineString:\n g = gligne.asMultiPolyline()\n na = g[0][0]\n nb = g[-1][-1]\n liba = str(int(xtr.transform(na)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(na)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n libb = str(int(xtr.transform(nb)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(nb)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n elif gligne.wkbType() == QGis.WKBLineString:\n g = gligne.asPolyline()\n na = g[0]\n nb = g[-1]\n liba = str(int(xtr.transform(na)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(na)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n libb = str(int(xtr.transform(nb)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(nb)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n id = ligne.id()\n layer.changeAttributeValue(id, ida, noeuds[na])\n layer.changeAttributeValue(id, idb, noeuds[nb])\n layer.changeAttributeValue(id, idij, noeuds[na] + '-' + noeuds[nb])\nlayer.endEditCommand()\nlayer.commitChanges()\n", "<import token>\n<assignment token>\nfor i in layer.dataProvider().fields():\n nom_champs.append(i.name())\nif 'i' not in nom_champs:\n layer.dataProvider().addAttributes([QgsField('i', QVariant.String, len=15)]\n )\nif 'j' not in nom_champs:\n layer.dataProvider().addAttributes([QgsField('j', QVariant.String, len=15)]\n )\nif 'ij' not in nom_champs:\n layer.dataProvider().addAttributes([QgsField('ij', QVariant.String, len\n =31)])\nlayer.updateFields()\nlayer.commitChanges()\n<assignment token>\nchamps.append(QgsField('num', QVariant.String, len=35))\nchamps.append(QgsField('nb', QVariant.Int))\n<assignment token>\nfor ligne in lines:\n gligne = ligne.geometry()\n if ligne[sens] == '1':\n if gligne.wkbType() == QGis.WKBMultiLineString:\n g = gligne.asMultiPolyline()\n na = g[0][0]\n liba = str(int(xtr.transform(na)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(na)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n nb = g[-1][-1]\n libb = str(int(xtr.transform(nb)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(nb)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n elif gligne.wkbType() == QGis.WKBLineString:\n g = gligne.asPolyline()\n na = g[0]\n liba = str(int(xtr.transform(na)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(na)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n nb = g[-1]\n libb = str(int(xtr.transform(nb)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(nb)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n if na not in noeuds:\n noeuds[na] = prefixe + liba, 1\n else:\n noeuds[na] = prefixe + liba, noeuds[na][1] + 1\n if nb not in noeuds:\n noeuds[nb] = prefixe + libb, 1\n else:\n noeuds[nb] = prefixe + libb, noeuds[nb][1] + 1\nfor i, n in enumerate(noeuds):\n node = QgsFeature()\n node.setGeometry(QgsGeometry.fromPoint(QgsPoint(n[0], n[1])))\n node.setAttributes([noeuds[n][0], noeuds[n][1]])\n table_noeuds.addFeature(node)\ndel table_noeuds\n<assignment token>\nlayer.startEditing()\nlayer.beginEditCommand(QCoreApplication.translate('Building graph',\n 'Building graph'))\nfor ligne in lines:\n if ligne[sens] == 1:\n gligne = ligne.geometry()\n if gligne.wkbType() == QGis.WKBMultiLineString:\n g = gligne.asMultiPolyline()\n na = g[0][0]\n nb = g[-1][-1]\n liba = str(int(xtr.transform(na)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(na)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n libb = str(int(xtr.transform(nb)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(nb)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n elif gligne.wkbType() == QGis.WKBLineString:\n g = gligne.asPolyline()\n na = g[0]\n nb = g[-1]\n liba = str(int(xtr.transform(na)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(na)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n libb = str(int(xtr.transform(nb)[0] * 1000000.0 + 180 * 1000000.0)\n ).zfill(9) + str(int(xtr.transform(nb)[1] * 1000000.0 + 180 *\n 1000000.0)).zfill(9)\n id = ligne.id()\n layer.changeAttributeValue(id, ida, noeuds[na])\n layer.changeAttributeValue(id, idb, noeuds[nb])\n layer.changeAttributeValue(id, idij, noeuds[na] + '-' + noeuds[nb])\nlayer.endEditCommand()\nlayer.commitChanges()\n", "<import token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n" ]
false
98,685
38a154418f3a3df2ed45b720f3e0008f2d9deb4e
from card_test_remove_keys import *
[ "from card_test_remove_keys import *\n", "<import token>\n" ]
false
98,686
ac329c3ba09366e45ce87fda8115a5cad4fba92a
import pygame from pygame import * SCREEN_SIZE = pygame.Rect((0, 0, 800, 640)) class Dialog(): def __init__(self, pos, surface): self.dialogues = dict() self.image = Surface((SCREEN_SIZE.width, SCREEN_SIZE.height)) self.image.fill(Color("#800080")) self.rect = self.image.get_rect(topleft=pos) self.hasControl = False self.hide = True # change to self.visible self.textFont = pygame.font.SysFont("Comic Sans", 35) self.screen = surface #add hide() and show() functions. def draw(self): self.screen.blit(self.image, self.rect) def update(self): pressed = pygame.key.get_pressed() up = pressed[pygame.K_UP] down = pressed[pygame.K_DOWN] if self.hasControl: if up: print("Up key pressed on dialog") if down: print("Down key pressed on dialog") #update texts in the dialog here i guess? return def loadText(self, key): rowLength = 75 text = self.dialogues[key] print(len(text)) n = len(text) start = 0 end = 0 rowCounter = 0 while n > rowLength: #find the end. for k in range (rowLength+start-1, start, -1): if text[k] == " ": end = k break print(len(text[start:end])) textSurface = self.textFont.render(text[start:end], True, (255,255,255)) self.image.blit(textSurface, (0,rowCounter)) rowCounter += 32 truncatedTextLength = end - start + 1 n -= truncatedTextLength start = end + 1 #add remainder to next row. textSurface = self.textFont.render(text[start:len(text)], True, (255,255,255)) self.image.blit(textSurface, (0, rowCounter)) print(text) def read(self, file): #read file and store in self.texts infile = open(file, 'r') keys = [] texts = [] currText = "" startStoring = False for line in infile: line = line.strip('\n') line = line.split() if len(line) > 0: if line[0] == "-": keys.append(line[1]) startStoring = True elif line[0] == "*": texts.append(currText) currText = "" startStoring = False else: if startStoring: for k in range (len(line)): currText += line[k] if k != len(line)-1: currText += " " for i in range (len(keys)): self.dialogues[keys[i]] = texts[i] def main(): pygame.init() #init font pygame.font.init() screen = pygame.display.set_mode((800, 640)) timer = pygame.time.Clock() gameDialog = Dialog((0, 442), screen) gameDialog.read("dialogues.txt") for key, val in gameDialog.dialogues.items(): print("----") print("KEY: " + str(key)) print("Value: ") print(val) print("Text of plant 1.0: " ) #gameDialog.displayDialogue("-plant1.0-") print(" " ) print("text of -intro1.1-") gameDialog.loadText("-intro1.1-") while True: for e in pygame.event.get(): if e.type == pygame.QUIT: return if e.type == pygame.KEYDOWN and e.key == pygame.K_ESCAPE: return if e.type == pygame.KEYDOWN and e.key == pygame.K_z: gameDialog.hide = False gameDialog.hasControl = True if e.type == pygame.KEYDOWN and e.key == pygame.K_x: gameDialog.hasControl = False gameDialog.hide = True screen.fill((0, 0, 0)) gameDialog.update() if not gameDialog.hide: gameDialog.draw() pygame.display.update() timer.tick(60) if __name__ == "__main__": main()
[ "import pygame\nfrom pygame import *\n\nSCREEN_SIZE = pygame.Rect((0, 0, 800, 640))\n\nclass Dialog():\n def __init__(self, pos, surface):\n self.dialogues = dict()\n self.image = Surface((SCREEN_SIZE.width, SCREEN_SIZE.height))\n self.image.fill(Color(\"#800080\"))\n self.rect = self.image.get_rect(topleft=pos)\n self.hasControl = False\n self.hide = True # change to self.visible\n self.textFont = pygame.font.SysFont(\"Comic Sans\", 35)\n self.screen = surface\n\n #add hide() and show() functions.\n def draw(self):\n self.screen.blit(self.image, self.rect)\n\n def update(self):\n pressed = pygame.key.get_pressed()\n up = pressed[pygame.K_UP]\n down = pressed[pygame.K_DOWN]\n \n if self.hasControl:\n if up:\n print(\"Up key pressed on dialog\")\n if down:\n print(\"Down key pressed on dialog\")\n \n #update texts in the dialog here i guess?\n return\n\n def loadText(self, key):\n \n\n rowLength = 75\n text = self.dialogues[key]\n print(len(text))\n \n n = len(text)\n start = 0\n end = 0\n rowCounter = 0\n while n > rowLength:\n #find the end.\n for k in range (rowLength+start-1, start, -1):\n if text[k] == \" \":\n end = k\n break\n print(len(text[start:end]))\n textSurface = self.textFont.render(text[start:end], True, (255,255,255))\n self.image.blit(textSurface, (0,rowCounter))\n\n rowCounter += 32\n\n truncatedTextLength = end - start + 1\n n -= truncatedTextLength\n \n start = end + 1\n #add remainder to next row.\n textSurface = self.textFont.render(text[start:len(text)], True, (255,255,255))\n self.image.blit(textSurface, (0, rowCounter))\n \n\n \n \n \n \n print(text)\n\n \n \n\n def read(self, file):\n #read file and store in self.texts\n infile = open(file, 'r')\n keys = []\n texts = []\n currText = \"\"\n startStoring = False\n for line in infile:\n line = line.strip('\\n')\n line = line.split()\n \n if len(line) > 0:\n if line[0] == \"-\":\n keys.append(line[1])\n startStoring = True\n \n elif line[0] == \"*\":\n texts.append(currText)\n currText = \"\"\n startStoring = False\n else:\n if startStoring:\n for k in range (len(line)):\n currText += line[k]\n\n if k != len(line)-1:\n currText += \" \"\n\n for i in range (len(keys)):\n self.dialogues[keys[i]] = texts[i]\n\n \n \n \n\n\ndef main():\n\n pygame.init()\n #init font\n pygame.font.init() \n screen = pygame.display.set_mode((800, 640))\n timer = pygame.time.Clock()\n gameDialog = Dialog((0, 442), screen)\n gameDialog.read(\"dialogues.txt\")\n for key, val in gameDialog.dialogues.items():\n print(\"----\")\n print(\"KEY: \" + str(key))\n print(\"Value: \")\n print(val)\n \n print(\"Text of plant 1.0: \" )\n #gameDialog.displayDialogue(\"-plant1.0-\")\n\n print(\" \" )\n\n print(\"text of -intro1.1-\")\n gameDialog.loadText(\"-intro1.1-\")\n \n \n \n while True:\n for e in pygame.event.get():\n if e.type == pygame.QUIT:\n return\n if e.type == pygame.KEYDOWN and e.key == pygame.K_ESCAPE:\n return\n\n if e.type == pygame.KEYDOWN and e.key == pygame.K_z:\n gameDialog.hide = False\n gameDialog.hasControl = True\n if e.type == pygame.KEYDOWN and e.key == pygame.K_x:\n gameDialog.hasControl = False\n gameDialog.hide = True\n\n screen.fill((0, 0, 0)) \n\n gameDialog.update()\n if not gameDialog.hide:\n gameDialog.draw()\n \n\n pygame.display.update()\n timer.tick(60)\n \n\n\n \nif __name__ == \"__main__\":\n main()\n", "import pygame\nfrom pygame import *\nSCREEN_SIZE = pygame.Rect((0, 0, 800, 640))\n\n\nclass Dialog:\n\n def __init__(self, pos, surface):\n self.dialogues = dict()\n self.image = Surface((SCREEN_SIZE.width, SCREEN_SIZE.height))\n self.image.fill(Color('#800080'))\n self.rect = self.image.get_rect(topleft=pos)\n self.hasControl = False\n self.hide = True\n self.textFont = pygame.font.SysFont('Comic Sans', 35)\n self.screen = surface\n\n def draw(self):\n self.screen.blit(self.image, self.rect)\n\n def update(self):\n pressed = pygame.key.get_pressed()\n up = pressed[pygame.K_UP]\n down = pressed[pygame.K_DOWN]\n if self.hasControl:\n if up:\n print('Up key pressed on dialog')\n if down:\n print('Down key pressed on dialog')\n return\n\n def loadText(self, key):\n rowLength = 75\n text = self.dialogues[key]\n print(len(text))\n n = len(text)\n start = 0\n end = 0\n rowCounter = 0\n while n > rowLength:\n for k in range(rowLength + start - 1, start, -1):\n if text[k] == ' ':\n end = k\n break\n print(len(text[start:end]))\n textSurface = self.textFont.render(text[start:end], True, (255,\n 255, 255))\n self.image.blit(textSurface, (0, rowCounter))\n rowCounter += 32\n truncatedTextLength = end - start + 1\n n -= truncatedTextLength\n start = end + 1\n textSurface = self.textFont.render(text[start:len(text)], True, (\n 255, 255, 255))\n self.image.blit(textSurface, (0, rowCounter))\n print(text)\n\n def read(self, file):\n infile = open(file, 'r')\n keys = []\n texts = []\n currText = ''\n startStoring = False\n for line in infile:\n line = line.strip('\\n')\n line = line.split()\n if len(line) > 0:\n if line[0] == '-':\n keys.append(line[1])\n startStoring = True\n elif line[0] == '*':\n texts.append(currText)\n currText = ''\n startStoring = False\n elif startStoring:\n for k in range(len(line)):\n currText += line[k]\n if k != len(line) - 1:\n currText += ' '\n for i in range(len(keys)):\n self.dialogues[keys[i]] = texts[i]\n\n\ndef main():\n pygame.init()\n pygame.font.init()\n screen = pygame.display.set_mode((800, 640))\n timer = pygame.time.Clock()\n gameDialog = Dialog((0, 442), screen)\n gameDialog.read('dialogues.txt')\n for key, val in gameDialog.dialogues.items():\n print('----')\n print('KEY: ' + str(key))\n print('Value: ')\n print(val)\n print('Text of plant 1.0: ')\n print(' ')\n print('text of -intro1.1-')\n gameDialog.loadText('-intro1.1-')\n while True:\n for e in pygame.event.get():\n if e.type == pygame.QUIT:\n return\n if e.type == pygame.KEYDOWN and e.key == pygame.K_ESCAPE:\n return\n if e.type == pygame.KEYDOWN and e.key == pygame.K_z:\n gameDialog.hide = False\n gameDialog.hasControl = True\n if e.type == pygame.KEYDOWN and e.key == pygame.K_x:\n gameDialog.hasControl = False\n gameDialog.hide = True\n screen.fill((0, 0, 0))\n gameDialog.update()\n if not gameDialog.hide:\n gameDialog.draw()\n pygame.display.update()\n timer.tick(60)\n\n\nif __name__ == '__main__':\n main()\n", "<import token>\nSCREEN_SIZE = pygame.Rect((0, 0, 800, 640))\n\n\nclass Dialog:\n\n def __init__(self, pos, surface):\n self.dialogues = dict()\n self.image = Surface((SCREEN_SIZE.width, SCREEN_SIZE.height))\n self.image.fill(Color('#800080'))\n self.rect = self.image.get_rect(topleft=pos)\n self.hasControl = False\n self.hide = True\n self.textFont = pygame.font.SysFont('Comic Sans', 35)\n self.screen = surface\n\n def draw(self):\n self.screen.blit(self.image, self.rect)\n\n def update(self):\n pressed = pygame.key.get_pressed()\n up = pressed[pygame.K_UP]\n down = pressed[pygame.K_DOWN]\n if self.hasControl:\n if up:\n print('Up key pressed on dialog')\n if down:\n print('Down key pressed on dialog')\n return\n\n def loadText(self, key):\n rowLength = 75\n text = self.dialogues[key]\n print(len(text))\n n = len(text)\n start = 0\n end = 0\n rowCounter = 0\n while n > rowLength:\n for k in range(rowLength + start - 1, start, -1):\n if text[k] == ' ':\n end = k\n break\n print(len(text[start:end]))\n textSurface = self.textFont.render(text[start:end], True, (255,\n 255, 255))\n self.image.blit(textSurface, (0, rowCounter))\n rowCounter += 32\n truncatedTextLength = end - start + 1\n n -= truncatedTextLength\n start = end + 1\n textSurface = self.textFont.render(text[start:len(text)], True, (\n 255, 255, 255))\n self.image.blit(textSurface, (0, rowCounter))\n print(text)\n\n def read(self, file):\n infile = open(file, 'r')\n keys = []\n texts = []\n currText = ''\n startStoring = False\n for line in infile:\n line = line.strip('\\n')\n line = line.split()\n if len(line) > 0:\n if line[0] == '-':\n keys.append(line[1])\n startStoring = True\n elif line[0] == '*':\n texts.append(currText)\n currText = ''\n startStoring = False\n elif startStoring:\n for k in range(len(line)):\n currText += line[k]\n if k != len(line) - 1:\n currText += ' '\n for i in range(len(keys)):\n self.dialogues[keys[i]] = texts[i]\n\n\ndef main():\n pygame.init()\n pygame.font.init()\n screen = pygame.display.set_mode((800, 640))\n timer = pygame.time.Clock()\n gameDialog = Dialog((0, 442), screen)\n gameDialog.read('dialogues.txt')\n for key, val in gameDialog.dialogues.items():\n print('----')\n print('KEY: ' + str(key))\n print('Value: ')\n print(val)\n print('Text of plant 1.0: ')\n print(' ')\n print('text of -intro1.1-')\n gameDialog.loadText('-intro1.1-')\n while True:\n for e in pygame.event.get():\n if e.type == pygame.QUIT:\n return\n if e.type == pygame.KEYDOWN and e.key == pygame.K_ESCAPE:\n return\n if e.type == pygame.KEYDOWN and e.key == pygame.K_z:\n gameDialog.hide = False\n gameDialog.hasControl = True\n if e.type == pygame.KEYDOWN and e.key == pygame.K_x:\n gameDialog.hasControl = False\n gameDialog.hide = True\n screen.fill((0, 0, 0))\n gameDialog.update()\n if not gameDialog.hide:\n gameDialog.draw()\n pygame.display.update()\n timer.tick(60)\n\n\nif __name__ == '__main__':\n main()\n", "<import token>\n<assignment token>\n\n\nclass Dialog:\n\n def __init__(self, pos, surface):\n self.dialogues = dict()\n self.image = Surface((SCREEN_SIZE.width, SCREEN_SIZE.height))\n self.image.fill(Color('#800080'))\n self.rect = self.image.get_rect(topleft=pos)\n self.hasControl = False\n self.hide = True\n self.textFont = pygame.font.SysFont('Comic Sans', 35)\n self.screen = surface\n\n def draw(self):\n self.screen.blit(self.image, self.rect)\n\n def update(self):\n pressed = pygame.key.get_pressed()\n up = pressed[pygame.K_UP]\n down = pressed[pygame.K_DOWN]\n if self.hasControl:\n if up:\n print('Up key pressed on dialog')\n if down:\n print('Down key pressed on dialog')\n return\n\n def loadText(self, key):\n rowLength = 75\n text = self.dialogues[key]\n print(len(text))\n n = len(text)\n start = 0\n end = 0\n rowCounter = 0\n while n > rowLength:\n for k in range(rowLength + start - 1, start, -1):\n if text[k] == ' ':\n end = k\n break\n print(len(text[start:end]))\n textSurface = self.textFont.render(text[start:end], True, (255,\n 255, 255))\n self.image.blit(textSurface, (0, rowCounter))\n rowCounter += 32\n truncatedTextLength = end - start + 1\n n -= truncatedTextLength\n start = end + 1\n textSurface = self.textFont.render(text[start:len(text)], True, (\n 255, 255, 255))\n self.image.blit(textSurface, (0, rowCounter))\n print(text)\n\n def read(self, file):\n infile = open(file, 'r')\n keys = []\n texts = []\n currText = ''\n startStoring = False\n for line in infile:\n line = line.strip('\\n')\n line = line.split()\n if len(line) > 0:\n if line[0] == '-':\n keys.append(line[1])\n startStoring = True\n elif line[0] == '*':\n texts.append(currText)\n currText = ''\n startStoring = False\n elif startStoring:\n for k in range(len(line)):\n currText += line[k]\n if k != len(line) - 1:\n currText += ' '\n for i in range(len(keys)):\n self.dialogues[keys[i]] = texts[i]\n\n\ndef main():\n pygame.init()\n pygame.font.init()\n screen = pygame.display.set_mode((800, 640))\n timer = pygame.time.Clock()\n gameDialog = Dialog((0, 442), screen)\n gameDialog.read('dialogues.txt')\n for key, val in gameDialog.dialogues.items():\n print('----')\n print('KEY: ' + str(key))\n print('Value: ')\n print(val)\n print('Text of plant 1.0: ')\n print(' ')\n print('text of -intro1.1-')\n gameDialog.loadText('-intro1.1-')\n while True:\n for e in pygame.event.get():\n if e.type == pygame.QUIT:\n return\n if e.type == pygame.KEYDOWN and e.key == pygame.K_ESCAPE:\n return\n if e.type == pygame.KEYDOWN and e.key == pygame.K_z:\n gameDialog.hide = False\n gameDialog.hasControl = True\n if e.type == pygame.KEYDOWN and e.key == pygame.K_x:\n gameDialog.hasControl = False\n gameDialog.hide = True\n screen.fill((0, 0, 0))\n gameDialog.update()\n if not gameDialog.hide:\n gameDialog.draw()\n pygame.display.update()\n timer.tick(60)\n\n\nif __name__ == '__main__':\n main()\n", "<import token>\n<assignment token>\n\n\nclass Dialog:\n\n def __init__(self, pos, surface):\n self.dialogues = dict()\n self.image = Surface((SCREEN_SIZE.width, SCREEN_SIZE.height))\n self.image.fill(Color('#800080'))\n self.rect = self.image.get_rect(topleft=pos)\n self.hasControl = False\n self.hide = True\n self.textFont = pygame.font.SysFont('Comic Sans', 35)\n self.screen = surface\n\n def draw(self):\n self.screen.blit(self.image, self.rect)\n\n def update(self):\n pressed = pygame.key.get_pressed()\n up = pressed[pygame.K_UP]\n down = pressed[pygame.K_DOWN]\n if self.hasControl:\n if up:\n print('Up key pressed on dialog')\n if down:\n print('Down key pressed on dialog')\n return\n\n def loadText(self, key):\n rowLength = 75\n text = self.dialogues[key]\n print(len(text))\n n = len(text)\n start = 0\n end = 0\n rowCounter = 0\n while n > rowLength:\n for k in range(rowLength + start - 1, start, -1):\n if text[k] == ' ':\n end = k\n break\n print(len(text[start:end]))\n textSurface = self.textFont.render(text[start:end], True, (255,\n 255, 255))\n self.image.blit(textSurface, (0, rowCounter))\n rowCounter += 32\n truncatedTextLength = end - start + 1\n n -= truncatedTextLength\n start = end + 1\n textSurface = self.textFont.render(text[start:len(text)], True, (\n 255, 255, 255))\n self.image.blit(textSurface, (0, rowCounter))\n print(text)\n\n def read(self, file):\n infile = open(file, 'r')\n keys = []\n texts = []\n currText = ''\n startStoring = False\n for line in infile:\n line = line.strip('\\n')\n line = line.split()\n if len(line) > 0:\n if line[0] == '-':\n keys.append(line[1])\n startStoring = True\n elif line[0] == '*':\n texts.append(currText)\n currText = ''\n startStoring = False\n elif startStoring:\n for k in range(len(line)):\n currText += line[k]\n if k != len(line) - 1:\n currText += ' '\n for i in range(len(keys)):\n self.dialogues[keys[i]] = texts[i]\n\n\ndef main():\n pygame.init()\n pygame.font.init()\n screen = pygame.display.set_mode((800, 640))\n timer = pygame.time.Clock()\n gameDialog = Dialog((0, 442), screen)\n gameDialog.read('dialogues.txt')\n for key, val in gameDialog.dialogues.items():\n print('----')\n print('KEY: ' + str(key))\n print('Value: ')\n print(val)\n print('Text of plant 1.0: ')\n print(' ')\n print('text of -intro1.1-')\n gameDialog.loadText('-intro1.1-')\n while True:\n for e in pygame.event.get():\n if e.type == pygame.QUIT:\n return\n if e.type == pygame.KEYDOWN and e.key == pygame.K_ESCAPE:\n return\n if e.type == pygame.KEYDOWN and e.key == pygame.K_z:\n gameDialog.hide = False\n gameDialog.hasControl = True\n if e.type == pygame.KEYDOWN and e.key == pygame.K_x:\n gameDialog.hasControl = False\n gameDialog.hide = True\n screen.fill((0, 0, 0))\n gameDialog.update()\n if not gameDialog.hide:\n gameDialog.draw()\n pygame.display.update()\n timer.tick(60)\n\n\n<code token>\n", "<import token>\n<assignment token>\n\n\nclass Dialog:\n\n def __init__(self, pos, surface):\n self.dialogues = dict()\n self.image = Surface((SCREEN_SIZE.width, SCREEN_SIZE.height))\n self.image.fill(Color('#800080'))\n self.rect = self.image.get_rect(topleft=pos)\n self.hasControl = False\n self.hide = True\n self.textFont = pygame.font.SysFont('Comic Sans', 35)\n self.screen = surface\n\n def draw(self):\n self.screen.blit(self.image, self.rect)\n\n def update(self):\n pressed = pygame.key.get_pressed()\n up = pressed[pygame.K_UP]\n down = pressed[pygame.K_DOWN]\n if self.hasControl:\n if up:\n print('Up key pressed on dialog')\n if down:\n print('Down key pressed on dialog')\n return\n\n def loadText(self, key):\n rowLength = 75\n text = self.dialogues[key]\n print(len(text))\n n = len(text)\n start = 0\n end = 0\n rowCounter = 0\n while n > rowLength:\n for k in range(rowLength + start - 1, start, -1):\n if text[k] == ' ':\n end = k\n break\n print(len(text[start:end]))\n textSurface = self.textFont.render(text[start:end], True, (255,\n 255, 255))\n self.image.blit(textSurface, (0, rowCounter))\n rowCounter += 32\n truncatedTextLength = end - start + 1\n n -= truncatedTextLength\n start = end + 1\n textSurface = self.textFont.render(text[start:len(text)], True, (\n 255, 255, 255))\n self.image.blit(textSurface, (0, rowCounter))\n print(text)\n\n def read(self, file):\n infile = open(file, 'r')\n keys = []\n texts = []\n currText = ''\n startStoring = False\n for line in infile:\n line = line.strip('\\n')\n line = line.split()\n if len(line) > 0:\n if line[0] == '-':\n keys.append(line[1])\n startStoring = True\n elif line[0] == '*':\n texts.append(currText)\n currText = ''\n startStoring = False\n elif startStoring:\n for k in range(len(line)):\n currText += line[k]\n if k != len(line) - 1:\n currText += ' '\n for i in range(len(keys)):\n self.dialogues[keys[i]] = texts[i]\n\n\n<function token>\n<code token>\n", "<import token>\n<assignment token>\n\n\nclass Dialog:\n <function token>\n\n def draw(self):\n self.screen.blit(self.image, self.rect)\n\n def update(self):\n pressed = pygame.key.get_pressed()\n up = pressed[pygame.K_UP]\n down = pressed[pygame.K_DOWN]\n if self.hasControl:\n if up:\n print('Up key pressed on dialog')\n if down:\n print('Down key pressed on dialog')\n return\n\n def loadText(self, key):\n rowLength = 75\n text = self.dialogues[key]\n print(len(text))\n n = len(text)\n start = 0\n end = 0\n rowCounter = 0\n while n > rowLength:\n for k in range(rowLength + start - 1, start, -1):\n if text[k] == ' ':\n end = k\n break\n print(len(text[start:end]))\n textSurface = self.textFont.render(text[start:end], True, (255,\n 255, 255))\n self.image.blit(textSurface, (0, rowCounter))\n rowCounter += 32\n truncatedTextLength = end - start + 1\n n -= truncatedTextLength\n start = end + 1\n textSurface = self.textFont.render(text[start:len(text)], True, (\n 255, 255, 255))\n self.image.blit(textSurface, (0, rowCounter))\n print(text)\n\n def read(self, file):\n infile = open(file, 'r')\n keys = []\n texts = []\n currText = ''\n startStoring = False\n for line in infile:\n line = line.strip('\\n')\n line = line.split()\n if len(line) > 0:\n if line[0] == '-':\n keys.append(line[1])\n startStoring = True\n elif line[0] == '*':\n texts.append(currText)\n currText = ''\n startStoring = False\n elif startStoring:\n for k in range(len(line)):\n currText += line[k]\n if k != len(line) - 1:\n currText += ' '\n for i in range(len(keys)):\n self.dialogues[keys[i]] = texts[i]\n\n\n<function token>\n<code token>\n", "<import token>\n<assignment token>\n\n\nclass Dialog:\n <function token>\n\n def draw(self):\n self.screen.blit(self.image, self.rect)\n\n def update(self):\n pressed = pygame.key.get_pressed()\n up = pressed[pygame.K_UP]\n down = pressed[pygame.K_DOWN]\n if self.hasControl:\n if up:\n print('Up key pressed on dialog')\n if down:\n print('Down key pressed on dialog')\n return\n\n def loadText(self, key):\n rowLength = 75\n text = self.dialogues[key]\n print(len(text))\n n = len(text)\n start = 0\n end = 0\n rowCounter = 0\n while n > rowLength:\n for k in range(rowLength + start - 1, start, -1):\n if text[k] == ' ':\n end = k\n break\n print(len(text[start:end]))\n textSurface = self.textFont.render(text[start:end], True, (255,\n 255, 255))\n self.image.blit(textSurface, (0, rowCounter))\n rowCounter += 32\n truncatedTextLength = end - start + 1\n n -= truncatedTextLength\n start = end + 1\n textSurface = self.textFont.render(text[start:len(text)], True, (\n 255, 255, 255))\n self.image.blit(textSurface, (0, rowCounter))\n print(text)\n <function token>\n\n\n<function token>\n<code token>\n", "<import token>\n<assignment token>\n\n\nclass Dialog:\n <function token>\n\n def draw(self):\n self.screen.blit(self.image, self.rect)\n <function token>\n\n def loadText(self, key):\n rowLength = 75\n text = self.dialogues[key]\n print(len(text))\n n = len(text)\n start = 0\n end = 0\n rowCounter = 0\n while n > rowLength:\n for k in range(rowLength + start - 1, start, -1):\n if text[k] == ' ':\n end = k\n break\n print(len(text[start:end]))\n textSurface = self.textFont.render(text[start:end], True, (255,\n 255, 255))\n self.image.blit(textSurface, (0, rowCounter))\n rowCounter += 32\n truncatedTextLength = end - start + 1\n n -= truncatedTextLength\n start = end + 1\n textSurface = self.textFont.render(text[start:len(text)], True, (\n 255, 255, 255))\n self.image.blit(textSurface, (0, rowCounter))\n print(text)\n <function token>\n\n\n<function token>\n<code token>\n", "<import token>\n<assignment token>\n\n\nclass Dialog:\n <function token>\n\n def draw(self):\n self.screen.blit(self.image, self.rect)\n <function token>\n <function token>\n <function token>\n\n\n<function token>\n<code token>\n", "<import token>\n<assignment token>\n\n\nclass Dialog:\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<function token>\n<code token>\n", "<import token>\n<assignment token>\n<class token>\n<function token>\n<code token>\n" ]
false
98,687
a0d8748f1d19be38575b7f74cacf8a46b1970df5
from collections import Counter N = int(input()) A = list(map(int, input().split())) subordinates = [0] * N boss_and_cnt = Counter(A) for boss, cnt in boss_and_cnt.items(): subordinates[boss - 1] = cnt for s in subordinates: print(s)
[ "from collections import Counter\nN = int(input())\nA = list(map(int, input().split()))\nsubordinates = [0] * N\nboss_and_cnt = Counter(A)\nfor boss, cnt in boss_and_cnt.items():\n subordinates[boss - 1] = cnt\nfor s in subordinates:\n print(s)", "from collections import Counter\nN = int(input())\nA = list(map(int, input().split()))\nsubordinates = [0] * N\nboss_and_cnt = Counter(A)\nfor boss, cnt in boss_and_cnt.items():\n subordinates[boss - 1] = cnt\nfor s in subordinates:\n print(s)\n", "<import token>\nN = int(input())\nA = list(map(int, input().split()))\nsubordinates = [0] * N\nboss_and_cnt = Counter(A)\nfor boss, cnt in boss_and_cnt.items():\n subordinates[boss - 1] = cnt\nfor s in subordinates:\n print(s)\n", "<import token>\n<assignment token>\nfor boss, cnt in boss_and_cnt.items():\n subordinates[boss - 1] = cnt\nfor s in subordinates:\n print(s)\n", "<import token>\n<assignment token>\n<code token>\n" ]
false
98,688
9b1481271b79190d37e5154ca9f52f893a5c49fd
from collections import defaultdict n, h, l = map(int, input().split()) current = list(map(int, input().split())) next_movies = [] score = {i: float('inf') for i in range(n)} similar = defaultdict(list) for c in current: score[c] = 0 for _ in range(l): a, b = map(int, input().split()) similar[a].append(b) similar[b].append(a) while True: for c in current: for f in similar[c]: if score[f] == float('inf'): score[f] = score[c] + 1 next_movies.append(f) if next_movies == current: break current = next_movies.copy() score = sorted(score.items(), key=lambda x: -x[1]) print(score[0][0])
[ "from collections import defaultdict\n\nn, h, l = map(int, input().split())\ncurrent = list(map(int, input().split()))\nnext_movies = []\nscore = {i: float('inf') for i in range(n)}\nsimilar = defaultdict(list)\nfor c in current:\n score[c] = 0\nfor _ in range(l):\n a, b = map(int, input().split())\n similar[a].append(b)\n similar[b].append(a)\n\nwhile True:\n for c in current:\n for f in similar[c]:\n if score[f] == float('inf'):\n score[f] = score[c] + 1\n next_movies.append(f)\n if next_movies == current:\n break\n current = next_movies.copy()\n\nscore = sorted(score.items(), key=lambda x: -x[1])\nprint(score[0][0])\n", "from collections import defaultdict\nn, h, l = map(int, input().split())\ncurrent = list(map(int, input().split()))\nnext_movies = []\nscore = {i: float('inf') for i in range(n)}\nsimilar = defaultdict(list)\nfor c in current:\n score[c] = 0\nfor _ in range(l):\n a, b = map(int, input().split())\n similar[a].append(b)\n similar[b].append(a)\nwhile True:\n for c in current:\n for f in similar[c]:\n if score[f] == float('inf'):\n score[f] = score[c] + 1\n next_movies.append(f)\n if next_movies == current:\n break\n current = next_movies.copy()\nscore = sorted(score.items(), key=lambda x: -x[1])\nprint(score[0][0])\n", "<import token>\nn, h, l = map(int, input().split())\ncurrent = list(map(int, input().split()))\nnext_movies = []\nscore = {i: float('inf') for i in range(n)}\nsimilar = defaultdict(list)\nfor c in current:\n score[c] = 0\nfor _ in range(l):\n a, b = map(int, input().split())\n similar[a].append(b)\n similar[b].append(a)\nwhile True:\n for c in current:\n for f in similar[c]:\n if score[f] == float('inf'):\n score[f] = score[c] + 1\n next_movies.append(f)\n if next_movies == current:\n break\n current = next_movies.copy()\nscore = sorted(score.items(), key=lambda x: -x[1])\nprint(score[0][0])\n", "<import token>\n<assignment token>\nfor c in current:\n score[c] = 0\nfor _ in range(l):\n a, b = map(int, input().split())\n similar[a].append(b)\n similar[b].append(a)\nwhile True:\n for c in current:\n for f in similar[c]:\n if score[f] == float('inf'):\n score[f] = score[c] + 1\n next_movies.append(f)\n if next_movies == current:\n break\n current = next_movies.copy()\n<assignment token>\nprint(score[0][0])\n", "<import token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n" ]
false
98,689
594c62fcd301ccbfb5aceeb7770210737c5c7724
a=('cats','cats','cats','cats','dogs','horses') b=a.count('cats') print(b)
[ "a=('cats','cats','cats','cats','dogs','horses')\nb=a.count('cats')\nprint(b)\n", "a = 'cats', 'cats', 'cats', 'cats', 'dogs', 'horses'\nb = a.count('cats')\nprint(b)\n", "<assignment token>\nprint(b)\n", "<assignment token>\n<code token>\n" ]
false
98,690
085822f5c35fd60d4d32a35ae4de288d398cedc8
# Generated by Django 3.0.5 on 2020-04-13 09:06 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('main', '0002_auto_20200412_1826'), ] operations = [ migrations.AlterField( model_name='item', name='qty', field=models.CharField(default='', max_length=100), ), ]
[ "# Generated by Django 3.0.5 on 2020-04-13 09:06\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('main', '0002_auto_20200412_1826'),\n ]\n\n operations = [\n migrations.AlterField(\n model_name='item',\n name='qty',\n field=models.CharField(default='', max_length=100),\n ),\n ]\n", "from django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n dependencies = [('main', '0002_auto_20200412_1826')]\n operations = [migrations.AlterField(model_name='item', name='qty',\n field=models.CharField(default='', max_length=100))]\n", "<import token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('main', '0002_auto_20200412_1826')]\n operations = [migrations.AlterField(model_name='item', name='qty',\n field=models.CharField(default='', max_length=100))]\n", "<import token>\n\n\nclass Migration(migrations.Migration):\n <assignment token>\n <assignment token>\n", "<import token>\n<class token>\n" ]
false
98,691
48bbe86f00deb37a0ea095772c7d079953fd5ee9
# -*- coding: utf-8 -*- # @Date : 2018-12-12 # @Author : Peng Shiyu import requests from scrapy import signals from scrapy_util.logger import logger from scrapy_util.utils import ScrapydUtil class StatsCollectorExtension(object): """ 日志记录扩展 """ DATETIME_FORMAT = "%Y-%m-%d %H:%M:%S" def __init__(self, crawler, log_file=None, stats_collection_url=None): self.stats_collection_url = stats_collection_url self.log_file = log_file crawler.signals.connect(self.spider_closed, signal=signals.spider_closed) @classmethod def from_crawler(cls, crawler): log_file = crawler.settings.get("LOG_FILE") stats_collection_url = crawler.settings.get("STATS_COLLECTION_URL") if stats_collection_url is None: raise Exception('STATS_COLLECTION_URL not in settings') return cls(crawler, log_file=log_file, stats_collection_url=stats_collection_url) def spider_closed(self, spider, reason): stats = spider.crawler.stats.get_stats() # 获取数据 start_time = stats.get("start_time") finish_time = stats.get("finish_time") duration = (finish_time - start_time).seconds # 保存收集到的信息 result = ScrapydUtil.parse_log_file(self.log_file) item = { "job_id": result.get('job_id', ''), "project": result.get('project', ''), "spider": spider.name, "item_scraped_count": stats.get("item_scraped_count", 0), "item_dropped_count": stats.get("item_dropped_count", 0), "start_time": start_time.strftime(self.DATETIME_FORMAT), "finish_time": finish_time.strftime(self.DATETIME_FORMAT), "duration": duration, "finish_reason": stats.get("finish_reason"), "log_error_count": stats.get("log_count/ERROR", 0), } logger.info(item) self.collection_item(item) def collection_item(self, item): """处理收集到的数据,以json 形式提交""" res = requests.post(self.stats_collection_url, json=item) logger.info(res.text)
[ "# -*- coding: utf-8 -*-\n\n# @Date : 2018-12-12\n# @Author : Peng Shiyu\n\nimport requests\nfrom scrapy import signals\n\nfrom scrapy_util.logger import logger\nfrom scrapy_util.utils import ScrapydUtil\n\n\nclass StatsCollectorExtension(object):\n \"\"\"\n 日志记录扩展\n \"\"\"\n DATETIME_FORMAT = \"%Y-%m-%d %H:%M:%S\"\n\n def __init__(self, crawler, log_file=None, stats_collection_url=None):\n self.stats_collection_url = stats_collection_url\n self.log_file = log_file\n\n crawler.signals.connect(self.spider_closed, signal=signals.spider_closed)\n\n @classmethod\n def from_crawler(cls, crawler):\n log_file = crawler.settings.get(\"LOG_FILE\")\n stats_collection_url = crawler.settings.get(\"STATS_COLLECTION_URL\")\n\n if stats_collection_url is None:\n raise Exception('STATS_COLLECTION_URL not in settings')\n\n return cls(crawler, log_file=log_file, stats_collection_url=stats_collection_url)\n\n def spider_closed(self, spider, reason):\n stats = spider.crawler.stats.get_stats()\n\n # 获取数据\n start_time = stats.get(\"start_time\")\n finish_time = stats.get(\"finish_time\")\n duration = (finish_time - start_time).seconds\n\n # 保存收集到的信息\n result = ScrapydUtil.parse_log_file(self.log_file)\n\n item = {\n \"job_id\": result.get('job_id', ''),\n \"project\": result.get('project', ''),\n \"spider\": spider.name,\n \"item_scraped_count\": stats.get(\"item_scraped_count\", 0),\n \"item_dropped_count\": stats.get(\"item_dropped_count\", 0),\n \"start_time\": start_time.strftime(self.DATETIME_FORMAT),\n \"finish_time\": finish_time.strftime(self.DATETIME_FORMAT),\n \"duration\": duration,\n \"finish_reason\": stats.get(\"finish_reason\"),\n \"log_error_count\": stats.get(\"log_count/ERROR\", 0),\n }\n\n logger.info(item)\n\n self.collection_item(item)\n\n def collection_item(self, item):\n \"\"\"处理收集到的数据,以json 形式提交\"\"\"\n res = requests.post(self.stats_collection_url, json=item)\n logger.info(res.text)\n\n", "import requests\nfrom scrapy import signals\nfrom scrapy_util.logger import logger\nfrom scrapy_util.utils import ScrapydUtil\n\n\nclass StatsCollectorExtension(object):\n \"\"\"\n 日志记录扩展\n \"\"\"\n DATETIME_FORMAT = '%Y-%m-%d %H:%M:%S'\n\n def __init__(self, crawler, log_file=None, stats_collection_url=None):\n self.stats_collection_url = stats_collection_url\n self.log_file = log_file\n crawler.signals.connect(self.spider_closed, signal=signals.\n spider_closed)\n\n @classmethod\n def from_crawler(cls, crawler):\n log_file = crawler.settings.get('LOG_FILE')\n stats_collection_url = crawler.settings.get('STATS_COLLECTION_URL')\n if stats_collection_url is None:\n raise Exception('STATS_COLLECTION_URL not in settings')\n return cls(crawler, log_file=log_file, stats_collection_url=\n stats_collection_url)\n\n def spider_closed(self, spider, reason):\n stats = spider.crawler.stats.get_stats()\n start_time = stats.get('start_time')\n finish_time = stats.get('finish_time')\n duration = (finish_time - start_time).seconds\n result = ScrapydUtil.parse_log_file(self.log_file)\n item = {'job_id': result.get('job_id', ''), 'project': result.get(\n 'project', ''), 'spider': spider.name, 'item_scraped_count':\n stats.get('item_scraped_count', 0), 'item_dropped_count': stats\n .get('item_dropped_count', 0), 'start_time': start_time.\n strftime(self.DATETIME_FORMAT), 'finish_time': finish_time.\n strftime(self.DATETIME_FORMAT), 'duration': duration,\n 'finish_reason': stats.get('finish_reason'), 'log_error_count':\n stats.get('log_count/ERROR', 0)}\n logger.info(item)\n self.collection_item(item)\n\n def collection_item(self, item):\n \"\"\"处理收集到的数据,以json 形式提交\"\"\"\n res = requests.post(self.stats_collection_url, json=item)\n logger.info(res.text)\n", "<import token>\n\n\nclass StatsCollectorExtension(object):\n \"\"\"\n 日志记录扩展\n \"\"\"\n DATETIME_FORMAT = '%Y-%m-%d %H:%M:%S'\n\n def __init__(self, crawler, log_file=None, stats_collection_url=None):\n self.stats_collection_url = stats_collection_url\n self.log_file = log_file\n crawler.signals.connect(self.spider_closed, signal=signals.\n spider_closed)\n\n @classmethod\n def from_crawler(cls, crawler):\n log_file = crawler.settings.get('LOG_FILE')\n stats_collection_url = crawler.settings.get('STATS_COLLECTION_URL')\n if stats_collection_url is None:\n raise Exception('STATS_COLLECTION_URL not in settings')\n return cls(crawler, log_file=log_file, stats_collection_url=\n stats_collection_url)\n\n def spider_closed(self, spider, reason):\n stats = spider.crawler.stats.get_stats()\n start_time = stats.get('start_time')\n finish_time = stats.get('finish_time')\n duration = (finish_time - start_time).seconds\n result = ScrapydUtil.parse_log_file(self.log_file)\n item = {'job_id': result.get('job_id', ''), 'project': result.get(\n 'project', ''), 'spider': spider.name, 'item_scraped_count':\n stats.get('item_scraped_count', 0), 'item_dropped_count': stats\n .get('item_dropped_count', 0), 'start_time': start_time.\n strftime(self.DATETIME_FORMAT), 'finish_time': finish_time.\n strftime(self.DATETIME_FORMAT), 'duration': duration,\n 'finish_reason': stats.get('finish_reason'), 'log_error_count':\n stats.get('log_count/ERROR', 0)}\n logger.info(item)\n self.collection_item(item)\n\n def collection_item(self, item):\n \"\"\"处理收集到的数据,以json 形式提交\"\"\"\n res = requests.post(self.stats_collection_url, json=item)\n logger.info(res.text)\n", "<import token>\n\n\nclass StatsCollectorExtension(object):\n <docstring token>\n DATETIME_FORMAT = '%Y-%m-%d %H:%M:%S'\n\n def __init__(self, crawler, log_file=None, stats_collection_url=None):\n self.stats_collection_url = stats_collection_url\n self.log_file = log_file\n crawler.signals.connect(self.spider_closed, signal=signals.\n spider_closed)\n\n @classmethod\n def from_crawler(cls, crawler):\n log_file = crawler.settings.get('LOG_FILE')\n stats_collection_url = crawler.settings.get('STATS_COLLECTION_URL')\n if stats_collection_url is None:\n raise Exception('STATS_COLLECTION_URL not in settings')\n return cls(crawler, log_file=log_file, stats_collection_url=\n stats_collection_url)\n\n def spider_closed(self, spider, reason):\n stats = spider.crawler.stats.get_stats()\n start_time = stats.get('start_time')\n finish_time = stats.get('finish_time')\n duration = (finish_time - start_time).seconds\n result = ScrapydUtil.parse_log_file(self.log_file)\n item = {'job_id': result.get('job_id', ''), 'project': result.get(\n 'project', ''), 'spider': spider.name, 'item_scraped_count':\n stats.get('item_scraped_count', 0), 'item_dropped_count': stats\n .get('item_dropped_count', 0), 'start_time': start_time.\n strftime(self.DATETIME_FORMAT), 'finish_time': finish_time.\n strftime(self.DATETIME_FORMAT), 'duration': duration,\n 'finish_reason': stats.get('finish_reason'), 'log_error_count':\n stats.get('log_count/ERROR', 0)}\n logger.info(item)\n self.collection_item(item)\n\n def collection_item(self, item):\n \"\"\"处理收集到的数据,以json 形式提交\"\"\"\n res = requests.post(self.stats_collection_url, json=item)\n logger.info(res.text)\n", "<import token>\n\n\nclass StatsCollectorExtension(object):\n <docstring token>\n <assignment token>\n\n def __init__(self, crawler, log_file=None, stats_collection_url=None):\n self.stats_collection_url = stats_collection_url\n self.log_file = log_file\n crawler.signals.connect(self.spider_closed, signal=signals.\n spider_closed)\n\n @classmethod\n def from_crawler(cls, crawler):\n log_file = crawler.settings.get('LOG_FILE')\n stats_collection_url = crawler.settings.get('STATS_COLLECTION_URL')\n if stats_collection_url is None:\n raise Exception('STATS_COLLECTION_URL not in settings')\n return cls(crawler, log_file=log_file, stats_collection_url=\n stats_collection_url)\n\n def spider_closed(self, spider, reason):\n stats = spider.crawler.stats.get_stats()\n start_time = stats.get('start_time')\n finish_time = stats.get('finish_time')\n duration = (finish_time - start_time).seconds\n result = ScrapydUtil.parse_log_file(self.log_file)\n item = {'job_id': result.get('job_id', ''), 'project': result.get(\n 'project', ''), 'spider': spider.name, 'item_scraped_count':\n stats.get('item_scraped_count', 0), 'item_dropped_count': stats\n .get('item_dropped_count', 0), 'start_time': start_time.\n strftime(self.DATETIME_FORMAT), 'finish_time': finish_time.\n strftime(self.DATETIME_FORMAT), 'duration': duration,\n 'finish_reason': stats.get('finish_reason'), 'log_error_count':\n stats.get('log_count/ERROR', 0)}\n logger.info(item)\n self.collection_item(item)\n\n def collection_item(self, item):\n \"\"\"处理收集到的数据,以json 形式提交\"\"\"\n res = requests.post(self.stats_collection_url, json=item)\n logger.info(res.text)\n", "<import token>\n\n\nclass StatsCollectorExtension(object):\n <docstring token>\n <assignment token>\n\n def __init__(self, crawler, log_file=None, stats_collection_url=None):\n self.stats_collection_url = stats_collection_url\n self.log_file = log_file\n crawler.signals.connect(self.spider_closed, signal=signals.\n spider_closed)\n\n @classmethod\n def from_crawler(cls, crawler):\n log_file = crawler.settings.get('LOG_FILE')\n stats_collection_url = crawler.settings.get('STATS_COLLECTION_URL')\n if stats_collection_url is None:\n raise Exception('STATS_COLLECTION_URL not in settings')\n return cls(crawler, log_file=log_file, stats_collection_url=\n stats_collection_url)\n\n def spider_closed(self, spider, reason):\n stats = spider.crawler.stats.get_stats()\n start_time = stats.get('start_time')\n finish_time = stats.get('finish_time')\n duration = (finish_time - start_time).seconds\n result = ScrapydUtil.parse_log_file(self.log_file)\n item = {'job_id': result.get('job_id', ''), 'project': result.get(\n 'project', ''), 'spider': spider.name, 'item_scraped_count':\n stats.get('item_scraped_count', 0), 'item_dropped_count': stats\n .get('item_dropped_count', 0), 'start_time': start_time.\n strftime(self.DATETIME_FORMAT), 'finish_time': finish_time.\n strftime(self.DATETIME_FORMAT), 'duration': duration,\n 'finish_reason': stats.get('finish_reason'), 'log_error_count':\n stats.get('log_count/ERROR', 0)}\n logger.info(item)\n self.collection_item(item)\n <function token>\n", "<import token>\n\n\nclass StatsCollectorExtension(object):\n <docstring token>\n <assignment token>\n\n def __init__(self, crawler, log_file=None, stats_collection_url=None):\n self.stats_collection_url = stats_collection_url\n self.log_file = log_file\n crawler.signals.connect(self.spider_closed, signal=signals.\n spider_closed)\n\n @classmethod\n def from_crawler(cls, crawler):\n log_file = crawler.settings.get('LOG_FILE')\n stats_collection_url = crawler.settings.get('STATS_COLLECTION_URL')\n if stats_collection_url is None:\n raise Exception('STATS_COLLECTION_URL not in settings')\n return cls(crawler, log_file=log_file, stats_collection_url=\n stats_collection_url)\n <function token>\n <function token>\n", "<import token>\n\n\nclass StatsCollectorExtension(object):\n <docstring token>\n <assignment token>\n\n def __init__(self, crawler, log_file=None, stats_collection_url=None):\n self.stats_collection_url = stats_collection_url\n self.log_file = log_file\n crawler.signals.connect(self.spider_closed, signal=signals.\n spider_closed)\n <function token>\n <function token>\n <function token>\n", "<import token>\n\n\nclass StatsCollectorExtension(object):\n <docstring token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n", "<import token>\n<class token>\n" ]
false
98,692
72101d770a05a7e29c24421aa6f75ac27c02d597
from selenium.webdriver.common.by import By from features.lib.pages.BasePage import BasePage class CustomerShopLocator(BasePage): def __init__(self, context): BasePage.__init__( self, context.driver, base_url='https://www.somewebsite.com') locator_dictionary = { "someElementName": (By.CSS_SELECTOR, 'some_css_selector') }
[ "from selenium.webdriver.common.by import By\n\nfrom features.lib.pages.BasePage import BasePage\n\n\nclass CustomerShopLocator(BasePage):\n\n def __init__(self, context):\n\n BasePage.__init__(\n self,\n context.driver,\n base_url='https://www.somewebsite.com')\n\n locator_dictionary = {\n \"someElementName\": (By.CSS_SELECTOR, 'some_css_selector')\n }", "from selenium.webdriver.common.by import By\nfrom features.lib.pages.BasePage import BasePage\n\n\nclass CustomerShopLocator(BasePage):\n\n def __init__(self, context):\n BasePage.__init__(self, context.driver, base_url=\n 'https://www.somewebsite.com')\n locator_dictionary = {'someElementName': (By.CSS_SELECTOR,\n 'some_css_selector')}\n", "<import token>\n\n\nclass CustomerShopLocator(BasePage):\n\n def __init__(self, context):\n BasePage.__init__(self, context.driver, base_url=\n 'https://www.somewebsite.com')\n locator_dictionary = {'someElementName': (By.CSS_SELECTOR,\n 'some_css_selector')}\n", "<import token>\n\n\nclass CustomerShopLocator(BasePage):\n\n def __init__(self, context):\n BasePage.__init__(self, context.driver, base_url=\n 'https://www.somewebsite.com')\n <assignment token>\n", "<import token>\n\n\nclass CustomerShopLocator(BasePage):\n <function token>\n <assignment token>\n", "<import token>\n<class token>\n" ]
false
98,693
00644387e1193de60582ab41c1d9106c82e0a166
#hw3 숫자의 약수 구하기 & 숫자 분류하기 num = int(input("숫자를 입력하세요 : ")) list_1=[] for i in range(1,num): if num%i==0 : list_1.append(i) print(f"{num}의 약수 :{list_1[0:]}")
[ "#hw3 숫자의 약수 구하기 & 숫자 분류하기\r\n\r\nnum = int(input(\"숫자를 입력하세요 : \"))\r\n\r\nlist_1=[]\r\nfor i in range(1,num):\r\n if num%i==0 :\r\n list_1.append(i)\r\nprint(f\"{num}의 약수 :{list_1[0:]}\")\r\n", "num = int(input('숫자를 입력하세요 : '))\nlist_1 = []\nfor i in range(1, num):\n if num % i == 0:\n list_1.append(i)\nprint(f'{num}의 약수 :{list_1[0:]}')\n", "<assignment token>\nfor i in range(1, num):\n if num % i == 0:\n list_1.append(i)\nprint(f'{num}의 약수 :{list_1[0:]}')\n", "<assignment token>\n<code token>\n" ]
false
98,694
56308396d59c8954998b6648c38302827cdcca70
# 백준 정렬 단계 # https://www.acmicpc.net/step/9 # 2750 번 : 수 정렬하기 def sort_2750(): n = int(input()) nums = [int(input()) for _ in range(n)] nums.sort() for num in nums: print(num) # 2751 번 : 수 정렬하기 2 # sort쓰면 시간초과 import sys def sort_2751(): n = int(input()) nums = [int(sys.stdin.readline()) for _ in range(n)] nums.sort() for num in nums: print(num) # 10989 번 : 수 정렬하기3 import sys def sort_10989(): n = int(input()) nums = [0] * 10001 for i in range(n): tmp = int(sys.stdin.readline()) nums[tmp] += 1 for i, cnt in enumerate(nums): if cnt != 0: for _ in range(cnt): print(i) # 2108 번 : 통계학 import math import sys from collections import Counter def sort_2108(): n = int(sys.stdin.readline()) #수의 갯수 nums = [int(sys.stdin.readline()) for _ in range(n)] nums.sort() avg = round(sum(nums)/n) #1. 산술평균 center = nums[n//2] #2. 중앙값 cha = nums[-1] - nums[0] #4. 범위 #3. 최빈값 구하는 식 # freq = {} # for n in nums: # if n in freq: continue # freq[n] = nums.count(n) # s_freq = sorted(freq.items(), key = lambda x: (-x[1], x[0])) # freq_num = s_freq[0][0] #최빈값 # if len(s_freq)!=1 and s_freq[0][1] == s_freq[1][1]: #갯수가 같은게 있다면 # freq_num = s_freq[1][0] freqs = Counter(nums).most_common() print(freqs) freq = freqs[0][0] if len(freqs) != 1 and freqs[0][1] == freqs[1][1]: freq = freqs[1][0] print(avg, center, freq, cha, sep='\n') # 1427 번 : 소트인사이드 import sys def sort_1427(): n = sys.stdin.readline().rstrip() sorted_n = sorted(list(n), reverse=True) print(''.join(sorted_n)) # 11650 번 : 좌표 정렬하기 def sort_11650(): n = int(sys.stdin.readline()) #좌표의 갯수 dots = [] for _ in range(n): dots.append(list(map(int, sys.stdin.readline().split()))) s_dots = sorted(dots, key = lambda x : (x[0], x[1])) for x,y in s_dots: print(x,y) # 11651 번 : 좌표 정렬하기2 import sys def sort_11651(): n = int(sys.stdin.readline()) dots = [] for _ in range(n): dots.append(list(map(int, sys.stdin.readline().split()))) s_dots = sorted(dots, key = lambda x : (x[1], x[0])) for x,y in s_dots: print(x, y) # 1181 번 : 단어 정렬 def sort_1181(): n = int(input()) words = [0] * n for i in range(n): words[i] = sys.stdin.readline().rstrip() s_words = sorted(set(words), key=lambda x:(len(x),x)) for w in s_words: print(w) # 10814 번 : 나이순 정렬 # 나이를 str 그대로 비교하면 틀리는것같다... import sys def sort_10814(): n = int(sys.stdin.readline()) people = [] for _ in range(n): age, name = sys.stdin.readline().rstrip().split() people.append([int(age), name]) people.sort(key = lambda x : x[0]) for x, y in people: print(x, y)
[ "# 백준 정렬 단계\n# https://www.acmicpc.net/step/9\n\n\n# 2750 번 : 수 정렬하기\ndef sort_2750():\n n = int(input())\n nums = [int(input()) for _ in range(n)]\n\n nums.sort()\n for num in nums: print(num)\n\n\n# 2751 번 : 수 정렬하기 2\n# sort쓰면 시간초과\nimport sys\ndef sort_2751():\n n = int(input())\n nums = [int(sys.stdin.readline()) for _ in range(n)]\n\n nums.sort()\n for num in nums: \n print(num)\n\n\n# 10989 번 : 수 정렬하기3\nimport sys\ndef sort_10989():\n n = int(input())\n nums = [0] * 10001\n\n for i in range(n):\n tmp = int(sys.stdin.readline())\n nums[tmp] += 1\n\n for i, cnt in enumerate(nums):\n if cnt != 0:\n for _ in range(cnt):\n print(i)\n\n\n# 2108 번 : 통계학\nimport math\nimport sys\nfrom collections import Counter\ndef sort_2108():\n n = int(sys.stdin.readline()) #수의 갯수\n nums = [int(sys.stdin.readline()) for _ in range(n)]\n nums.sort()\n avg = round(sum(nums)/n) #1. 산술평균\n center = nums[n//2] #2. 중앙값\n cha = nums[-1] - nums[0] #4. 범위\n #3. 최빈값 구하는 식\n # freq = {}\n # for n in nums:\n # if n in freq: continue\n # freq[n] = nums.count(n)\n # s_freq = sorted(freq.items(), key = lambda x: (-x[1], x[0]))\n # freq_num = s_freq[0][0] #최빈값\n # if len(s_freq)!=1 and s_freq[0][1] == s_freq[1][1]: #갯수가 같은게 있다면\n # freq_num = s_freq[1][0]\n freqs = Counter(nums).most_common()\n print(freqs)\n freq = freqs[0][0]\n if len(freqs) != 1 and freqs[0][1] == freqs[1][1]:\n freq = freqs[1][0]\n print(avg, center, freq, cha, sep='\\n')\n\n\n\n# 1427 번 : 소트인사이드\nimport sys\ndef sort_1427():\n n = sys.stdin.readline().rstrip()\n sorted_n = sorted(list(n), reverse=True)\n print(''.join(sorted_n))\n\n\n# 11650 번 : 좌표 정렬하기\ndef sort_11650():\n n = int(sys.stdin.readline()) #좌표의 갯수\n dots = []\n for _ in range(n):\n dots.append(list(map(int, sys.stdin.readline().split())))\n s_dots = sorted(dots, key = lambda x : (x[0], x[1]))\n for x,y in s_dots:\n print(x,y)\n\n\n# 11651 번 : 좌표 정렬하기2\nimport sys\ndef sort_11651():\n n = int(sys.stdin.readline())\n dots = []\n for _ in range(n):\n dots.append(list(map(int, sys.stdin.readline().split())))\n s_dots = sorted(dots, key = lambda x : (x[1], x[0]))\n for x,y in s_dots:\n print(x, y)\n\n\n# 1181 번 : 단어 정렬\ndef sort_1181():\n n = int(input())\n words = [0] * n\n for i in range(n):\n words[i] = sys.stdin.readline().rstrip()\n \n s_words = sorted(set(words), key=lambda x:(len(x),x))\n for w in s_words:\n print(w)\n\n\n# 10814 번 : 나이순 정렬\n# 나이를 str 그대로 비교하면 틀리는것같다...\nimport sys\ndef sort_10814():\n n = int(sys.stdin.readline())\n people = []\n for _ in range(n):\n age, name = sys.stdin.readline().rstrip().split()\n people.append([int(age), name])\n people.sort(key = lambda x : x[0])\n for x, y in people:\n print(x, y)", "def sort_2750():\n n = int(input())\n nums = [int(input()) for _ in range(n)]\n nums.sort()\n for num in nums:\n print(num)\n\n\nimport sys\n\n\ndef sort_2751():\n n = int(input())\n nums = [int(sys.stdin.readline()) for _ in range(n)]\n nums.sort()\n for num in nums:\n print(num)\n\n\nimport sys\n\n\ndef sort_10989():\n n = int(input())\n nums = [0] * 10001\n for i in range(n):\n tmp = int(sys.stdin.readline())\n nums[tmp] += 1\n for i, cnt in enumerate(nums):\n if cnt != 0:\n for _ in range(cnt):\n print(i)\n\n\nimport math\nimport sys\nfrom collections import Counter\n\n\ndef sort_2108():\n n = int(sys.stdin.readline())\n nums = [int(sys.stdin.readline()) for _ in range(n)]\n nums.sort()\n avg = round(sum(nums) / n)\n center = nums[n // 2]\n cha = nums[-1] - nums[0]\n freqs = Counter(nums).most_common()\n print(freqs)\n freq = freqs[0][0]\n if len(freqs) != 1 and freqs[0][1] == freqs[1][1]:\n freq = freqs[1][0]\n print(avg, center, freq, cha, sep='\\n')\n\n\nimport sys\n\n\ndef sort_1427():\n n = sys.stdin.readline().rstrip()\n sorted_n = sorted(list(n), reverse=True)\n print(''.join(sorted_n))\n\n\ndef sort_11650():\n n = int(sys.stdin.readline())\n dots = []\n for _ in range(n):\n dots.append(list(map(int, sys.stdin.readline().split())))\n s_dots = sorted(dots, key=lambda x: (x[0], x[1]))\n for x, y in s_dots:\n print(x, y)\n\n\nimport sys\n\n\ndef sort_11651():\n n = int(sys.stdin.readline())\n dots = []\n for _ in range(n):\n dots.append(list(map(int, sys.stdin.readline().split())))\n s_dots = sorted(dots, key=lambda x: (x[1], x[0]))\n for x, y in s_dots:\n print(x, y)\n\n\ndef sort_1181():\n n = int(input())\n words = [0] * n\n for i in range(n):\n words[i] = sys.stdin.readline().rstrip()\n s_words = sorted(set(words), key=lambda x: (len(x), x))\n for w in s_words:\n print(w)\n\n\nimport sys\n\n\ndef sort_10814():\n n = int(sys.stdin.readline())\n people = []\n for _ in range(n):\n age, name = sys.stdin.readline().rstrip().split()\n people.append([int(age), name])\n people.sort(key=lambda x: x[0])\n for x, y in people:\n print(x, y)\n", "def sort_2750():\n n = int(input())\n nums = [int(input()) for _ in range(n)]\n nums.sort()\n for num in nums:\n print(num)\n\n\n<import token>\n\n\ndef sort_2751():\n n = int(input())\n nums = [int(sys.stdin.readline()) for _ in range(n)]\n nums.sort()\n for num in nums:\n print(num)\n\n\n<import token>\n\n\ndef sort_10989():\n n = int(input())\n nums = [0] * 10001\n for i in range(n):\n tmp = int(sys.stdin.readline())\n nums[tmp] += 1\n for i, cnt in enumerate(nums):\n if cnt != 0:\n for _ in range(cnt):\n print(i)\n\n\n<import token>\n\n\ndef sort_2108():\n n = int(sys.stdin.readline())\n nums = [int(sys.stdin.readline()) for _ in range(n)]\n nums.sort()\n avg = round(sum(nums) / n)\n center = nums[n // 2]\n cha = nums[-1] - nums[0]\n freqs = Counter(nums).most_common()\n print(freqs)\n freq = freqs[0][0]\n if len(freqs) != 1 and freqs[0][1] == freqs[1][1]:\n freq = freqs[1][0]\n print(avg, center, freq, cha, sep='\\n')\n\n\n<import token>\n\n\ndef sort_1427():\n n = sys.stdin.readline().rstrip()\n sorted_n = sorted(list(n), reverse=True)\n print(''.join(sorted_n))\n\n\ndef sort_11650():\n n = int(sys.stdin.readline())\n dots = []\n for _ in range(n):\n dots.append(list(map(int, sys.stdin.readline().split())))\n s_dots = sorted(dots, key=lambda x: (x[0], x[1]))\n for x, y in s_dots:\n print(x, y)\n\n\n<import token>\n\n\ndef sort_11651():\n n = int(sys.stdin.readline())\n dots = []\n for _ in range(n):\n dots.append(list(map(int, sys.stdin.readline().split())))\n s_dots = sorted(dots, key=lambda x: (x[1], x[0]))\n for x, y in s_dots:\n print(x, y)\n\n\ndef sort_1181():\n n = int(input())\n words = [0] * n\n for i in range(n):\n words[i] = sys.stdin.readline().rstrip()\n s_words = sorted(set(words), key=lambda x: (len(x), x))\n for w in s_words:\n print(w)\n\n\n<import token>\n\n\ndef sort_10814():\n n = int(sys.stdin.readline())\n people = []\n for _ in range(n):\n age, name = sys.stdin.readline().rstrip().split()\n people.append([int(age), name])\n people.sort(key=lambda x: x[0])\n for x, y in people:\n print(x, y)\n", "<function token>\n<import token>\n\n\ndef sort_2751():\n n = int(input())\n nums = [int(sys.stdin.readline()) for _ in range(n)]\n nums.sort()\n for num in nums:\n print(num)\n\n\n<import token>\n\n\ndef sort_10989():\n n = int(input())\n nums = [0] * 10001\n for i in range(n):\n tmp = int(sys.stdin.readline())\n nums[tmp] += 1\n for i, cnt in enumerate(nums):\n if cnt != 0:\n for _ in range(cnt):\n print(i)\n\n\n<import token>\n\n\ndef sort_2108():\n n = int(sys.stdin.readline())\n nums = [int(sys.stdin.readline()) for _ in range(n)]\n nums.sort()\n avg = round(sum(nums) / n)\n center = nums[n // 2]\n cha = nums[-1] - nums[0]\n freqs = Counter(nums).most_common()\n print(freqs)\n freq = freqs[0][0]\n if len(freqs) != 1 and freqs[0][1] == freqs[1][1]:\n freq = freqs[1][0]\n print(avg, center, freq, cha, sep='\\n')\n\n\n<import token>\n\n\ndef sort_1427():\n n = sys.stdin.readline().rstrip()\n sorted_n = sorted(list(n), reverse=True)\n print(''.join(sorted_n))\n\n\ndef sort_11650():\n n = int(sys.stdin.readline())\n dots = []\n for _ in range(n):\n dots.append(list(map(int, sys.stdin.readline().split())))\n s_dots = sorted(dots, key=lambda x: (x[0], x[1]))\n for x, y in s_dots:\n print(x, y)\n\n\n<import token>\n\n\ndef sort_11651():\n n = int(sys.stdin.readline())\n dots = []\n for _ in range(n):\n dots.append(list(map(int, sys.stdin.readline().split())))\n s_dots = sorted(dots, key=lambda x: (x[1], x[0]))\n for x, y in s_dots:\n print(x, y)\n\n\ndef sort_1181():\n n = int(input())\n words = [0] * n\n for i in range(n):\n words[i] = sys.stdin.readline().rstrip()\n s_words = sorted(set(words), key=lambda x: (len(x), x))\n for w in s_words:\n print(w)\n\n\n<import token>\n\n\ndef sort_10814():\n n = int(sys.stdin.readline())\n people = []\n for _ in range(n):\n age, name = sys.stdin.readline().rstrip().split()\n people.append([int(age), name])\n people.sort(key=lambda x: x[0])\n for x, y in people:\n print(x, y)\n", "<function token>\n<import token>\n\n\ndef sort_2751():\n n = int(input())\n nums = [int(sys.stdin.readline()) for _ in range(n)]\n nums.sort()\n for num in nums:\n print(num)\n\n\n<import token>\n\n\ndef sort_10989():\n n = int(input())\n nums = [0] * 10001\n for i in range(n):\n tmp = int(sys.stdin.readline())\n nums[tmp] += 1\n for i, cnt in enumerate(nums):\n if cnt != 0:\n for _ in range(cnt):\n print(i)\n\n\n<import token>\n\n\ndef sort_2108():\n n = int(sys.stdin.readline())\n nums = [int(sys.stdin.readline()) for _ in range(n)]\n nums.sort()\n avg = round(sum(nums) / n)\n center = nums[n // 2]\n cha = nums[-1] - nums[0]\n freqs = Counter(nums).most_common()\n print(freqs)\n freq = freqs[0][0]\n if len(freqs) != 1 and freqs[0][1] == freqs[1][1]:\n freq = freqs[1][0]\n print(avg, center, freq, cha, sep='\\n')\n\n\n<import token>\n<function token>\n\n\ndef sort_11650():\n n = int(sys.stdin.readline())\n dots = []\n for _ in range(n):\n dots.append(list(map(int, sys.stdin.readline().split())))\n s_dots = sorted(dots, key=lambda x: (x[0], x[1]))\n for x, y in s_dots:\n print(x, y)\n\n\n<import token>\n\n\ndef sort_11651():\n n = int(sys.stdin.readline())\n dots = []\n for _ in range(n):\n dots.append(list(map(int, sys.stdin.readline().split())))\n s_dots = sorted(dots, key=lambda x: (x[1], x[0]))\n for x, y in s_dots:\n print(x, y)\n\n\ndef sort_1181():\n n = int(input())\n words = [0] * n\n for i in range(n):\n words[i] = sys.stdin.readline().rstrip()\n s_words = sorted(set(words), key=lambda x: (len(x), x))\n for w in s_words:\n print(w)\n\n\n<import token>\n\n\ndef sort_10814():\n n = int(sys.stdin.readline())\n people = []\n for _ in range(n):\n age, name = sys.stdin.readline().rstrip().split()\n people.append([int(age), name])\n people.sort(key=lambda x: x[0])\n for x, y in people:\n print(x, y)\n", "<function token>\n<import token>\n\n\ndef sort_2751():\n n = int(input())\n nums = [int(sys.stdin.readline()) for _ in range(n)]\n nums.sort()\n for num in nums:\n print(num)\n\n\n<import token>\n\n\ndef sort_10989():\n n = int(input())\n nums = [0] * 10001\n for i in range(n):\n tmp = int(sys.stdin.readline())\n nums[tmp] += 1\n for i, cnt in enumerate(nums):\n if cnt != 0:\n for _ in range(cnt):\n print(i)\n\n\n<import token>\n\n\ndef sort_2108():\n n = int(sys.stdin.readline())\n nums = [int(sys.stdin.readline()) for _ in range(n)]\n nums.sort()\n avg = round(sum(nums) / n)\n center = nums[n // 2]\n cha = nums[-1] - nums[0]\n freqs = Counter(nums).most_common()\n print(freqs)\n freq = freqs[0][0]\n if len(freqs) != 1 and freqs[0][1] == freqs[1][1]:\n freq = freqs[1][0]\n print(avg, center, freq, cha, sep='\\n')\n\n\n<import token>\n<function token>\n\n\ndef sort_11650():\n n = int(sys.stdin.readline())\n dots = []\n for _ in range(n):\n dots.append(list(map(int, sys.stdin.readline().split())))\n s_dots = sorted(dots, key=lambda x: (x[0], x[1]))\n for x, y in s_dots:\n print(x, y)\n\n\n<import token>\n\n\ndef sort_11651():\n n = int(sys.stdin.readline())\n dots = []\n for _ in range(n):\n dots.append(list(map(int, sys.stdin.readline().split())))\n s_dots = sorted(dots, key=lambda x: (x[1], x[0]))\n for x, y in s_dots:\n print(x, y)\n\n\ndef sort_1181():\n n = int(input())\n words = [0] * n\n for i in range(n):\n words[i] = sys.stdin.readline().rstrip()\n s_words = sorted(set(words), key=lambda x: (len(x), x))\n for w in s_words:\n print(w)\n\n\n<import token>\n<function token>\n", "<function token>\n<import token>\n\n\ndef sort_2751():\n n = int(input())\n nums = [int(sys.stdin.readline()) for _ in range(n)]\n nums.sort()\n for num in nums:\n print(num)\n\n\n<import token>\n\n\ndef sort_10989():\n n = int(input())\n nums = [0] * 10001\n for i in range(n):\n tmp = int(sys.stdin.readline())\n nums[tmp] += 1\n for i, cnt in enumerate(nums):\n if cnt != 0:\n for _ in range(cnt):\n print(i)\n\n\n<import token>\n<function token>\n<import token>\n<function token>\n\n\ndef sort_11650():\n n = int(sys.stdin.readline())\n dots = []\n for _ in range(n):\n dots.append(list(map(int, sys.stdin.readline().split())))\n s_dots = sorted(dots, key=lambda x: (x[0], x[1]))\n for x, y in s_dots:\n print(x, y)\n\n\n<import token>\n\n\ndef sort_11651():\n n = int(sys.stdin.readline())\n dots = []\n for _ in range(n):\n dots.append(list(map(int, sys.stdin.readline().split())))\n s_dots = sorted(dots, key=lambda x: (x[1], x[0]))\n for x, y in s_dots:\n print(x, y)\n\n\ndef sort_1181():\n n = int(input())\n words = [0] * n\n for i in range(n):\n words[i] = sys.stdin.readline().rstrip()\n s_words = sorted(set(words), key=lambda x: (len(x), x))\n for w in s_words:\n print(w)\n\n\n<import token>\n<function token>\n", "<function token>\n<import token>\n<function token>\n<import token>\n\n\ndef sort_10989():\n n = int(input())\n nums = [0] * 10001\n for i in range(n):\n tmp = int(sys.stdin.readline())\n nums[tmp] += 1\n for i, cnt in enumerate(nums):\n if cnt != 0:\n for _ in range(cnt):\n print(i)\n\n\n<import token>\n<function token>\n<import token>\n<function token>\n\n\ndef sort_11650():\n n = int(sys.stdin.readline())\n dots = []\n for _ in range(n):\n dots.append(list(map(int, sys.stdin.readline().split())))\n s_dots = sorted(dots, key=lambda x: (x[0], x[1]))\n for x, y in s_dots:\n print(x, y)\n\n\n<import token>\n\n\ndef sort_11651():\n n = int(sys.stdin.readline())\n dots = []\n for _ in range(n):\n dots.append(list(map(int, sys.stdin.readline().split())))\n s_dots = sorted(dots, key=lambda x: (x[1], x[0]))\n for x, y in s_dots:\n print(x, y)\n\n\ndef sort_1181():\n n = int(input())\n words = [0] * n\n for i in range(n):\n words[i] = sys.stdin.readline().rstrip()\n s_words = sorted(set(words), key=lambda x: (len(x), x))\n for w in s_words:\n print(w)\n\n\n<import token>\n<function token>\n", "<function token>\n<import token>\n<function token>\n<import token>\n\n\ndef sort_10989():\n n = int(input())\n nums = [0] * 10001\n for i in range(n):\n tmp = int(sys.stdin.readline())\n nums[tmp] += 1\n for i, cnt in enumerate(nums):\n if cnt != 0:\n for _ in range(cnt):\n print(i)\n\n\n<import token>\n<function token>\n<import token>\n<function token>\n<function token>\n<import token>\n\n\ndef sort_11651():\n n = int(sys.stdin.readline())\n dots = []\n for _ in range(n):\n dots.append(list(map(int, sys.stdin.readline().split())))\n s_dots = sorted(dots, key=lambda x: (x[1], x[0]))\n for x, y in s_dots:\n print(x, y)\n\n\ndef sort_1181():\n n = int(input())\n words = [0] * n\n for i in range(n):\n words[i] = sys.stdin.readline().rstrip()\n s_words = sorted(set(words), key=lambda x: (len(x), x))\n for w in s_words:\n print(w)\n\n\n<import token>\n<function token>\n", "<function token>\n<import token>\n<function token>\n<import token>\n\n\ndef sort_10989():\n n = int(input())\n nums = [0] * 10001\n for i in range(n):\n tmp = int(sys.stdin.readline())\n nums[tmp] += 1\n for i, cnt in enumerate(nums):\n if cnt != 0:\n for _ in range(cnt):\n print(i)\n\n\n<import token>\n<function token>\n<import token>\n<function token>\n<function token>\n<import token>\n<function token>\n\n\ndef sort_1181():\n n = int(input())\n words = [0] * n\n for i in range(n):\n words[i] = sys.stdin.readline().rstrip()\n s_words = sorted(set(words), key=lambda x: (len(x), x))\n for w in s_words:\n print(w)\n\n\n<import token>\n<function token>\n", "<function token>\n<import token>\n<function token>\n<import token>\n\n\ndef sort_10989():\n n = int(input())\n nums = [0] * 10001\n for i in range(n):\n tmp = int(sys.stdin.readline())\n nums[tmp] += 1\n for i, cnt in enumerate(nums):\n if cnt != 0:\n for _ in range(cnt):\n print(i)\n\n\n<import token>\n<function token>\n<import token>\n<function token>\n<function token>\n<import token>\n<function token>\n<function token>\n<import token>\n<function token>\n", "<function token>\n<import token>\n<function token>\n<import token>\n<function token>\n<import token>\n<function token>\n<import token>\n<function token>\n<function token>\n<import token>\n<function token>\n<function token>\n<import token>\n<function token>\n" ]
false
98,695
36256d98dc83e13a553d84cae217ae2ef283446a
import matplotlib.pyplot as plt plt.scatter(2, 4, s=200) #Set chart title and label axes plt.title("Square Numbers", fontsize=24) plt.xlabel("Value", fontsize=14) plt.ylabel("Square of Value", fontsize=14) #Set size of tick labels plt.tick_params(axis='both', which='major', labelsize=14) plt.show()
[ "import matplotlib.pyplot as plt\n\nplt.scatter(2, 4, s=200)\n\n#Set chart title and label axes\nplt.title(\"Square Numbers\", fontsize=24)\nplt.xlabel(\"Value\", fontsize=14)\nplt.ylabel(\"Square of Value\", fontsize=14)\n\n#Set size of tick labels\nplt.tick_params(axis='both', which='major', labelsize=14)\nplt.show()", "import matplotlib.pyplot as plt\nplt.scatter(2, 4, s=200)\nplt.title('Square Numbers', fontsize=24)\nplt.xlabel('Value', fontsize=14)\nplt.ylabel('Square of Value', fontsize=14)\nplt.tick_params(axis='both', which='major', labelsize=14)\nplt.show()\n", "<import token>\nplt.scatter(2, 4, s=200)\nplt.title('Square Numbers', fontsize=24)\nplt.xlabel('Value', fontsize=14)\nplt.ylabel('Square of Value', fontsize=14)\nplt.tick_params(axis='both', which='major', labelsize=14)\nplt.show()\n", "<import token>\n<code token>\n" ]
false
98,696
4817a92904438c71aabdfd3788f19cb8ab374860
import pdb,os,time,subprocess,zipfile ##a function to download tesscut TPF's def qtic(ticnum,datadir = '/Volumes/UTOld/tessdata/',xsize=31,ysize=31,sector=None,dummymode=False): import tic_query ##get the ra and dec from TIC then just run the other function ra,dec = tic_query.tic_radec(ticnum) dummy,dummy2 = qradec(ticnum,ra,dec,datadir=datadir,xsize=xsize,ysize=ysize,sector=sector,dummymode=dummymode) return dummy,dummy2 def qradec(tic,ra,dec,datadir = '/Volumes/UTOld/tessdata/',xsize=31,ysize=31,sector=None,dummymode=False): ##ra and dec are either floats or strings ##sector and tic are integeres, as as x/ysize ##build the command queryurl = 'https://mast.stsci.edu/tesscut/api/v0.1/astrocut?ra='+str(ra)+'&dec='+str(dec)+'&x='+str(xsize)+'&y='+str(ysize)+'&units=px' # pdb.set_trace() # # https://mast.stsci.edu/tesscut/api/v0.1/astrocut?ra=136.524818800348&dec=-76.7857934853963&y=51&x=51&units=px&sector=all if sector != None: queryurl += '&sector='+str(sector) else: queryurl += '&sector=All' command = '/usr/local/bin/wget -O ./tesscut_tmp/latest.zip "'+queryurl + '"' process = subprocess.Popen(command,shell=True,stdout=subprocess.PIPE) process.wait() #print('subprocess returncode: ' + str(process.returncode)) if process.returncode !=0: ##try the command again process = subprocess.Popen(command,shell=True,stdout=subprocess.PIPE) process.wait() if process.returncode != 0: print('bad return code, something wrong!') errorfile = open('latest_tesscut_errorfile.txt','wb') errorfile.write(command + ' \n') errorfile.write(str(process.returncode) + ' \n') errorfile.flush() errorfile.close() pdb.set_trace() #pdb.set_trace() ##'/usr/local/bin/wget -O ./tesscut_tmp/latest.zip "https://mast.stsci.edu/tesscut/api/v0.1/astrocut?ra=179.2008&dec=-22.4893&y=1&x=1&sector=10"' ##'/usr/local/bin/wget -O ./tesscut_tmp/latest.zip "https://mast.stsci.edu/tesscut/api/v0.1/astrocut?ra=347.45642&dec=-14.51055&y=1&x=1&sector=10"' filesize = os.path.getsize('./tesscut_tmp/latest.zip') if filesize < 5000: ##this is the case for a non-observed target in the input sector return -1,-1 if dummymode == True: return 0,0 ##if in dummymode=True, just checking target observation, dont extract any files ##now repackage the download, basically we want one subdir for each tic number that gets updated every time if new stuff appears ##check directory exists: datalocation = datadir+'tic'+str(tic)+'/' if os.path.exists(datalocation)==False: os.makedirs(datalocation) ##unzip to the new data location zip_ref = zipfile.ZipFile('./tesscut_tmp/latest.zip', 'r') zip_ref.extractall(datalocation) zip_ref.close() ##now write in the corresponding log datestamp = time.strftime('%Y%m%d-%H:%M:%S', time.localtime(time.time())) logfile = open(datalocation+'tic'+str(tic)+'_dllog.txt','ab') logfile.write(datestamp+' '+str(ra)+' '+str(dec)+' '+str(xsize)+'x'+str(ysize)+' '+str(sector)+' \n') logfile.close() return 0,datalocation ##uncomment to test with DS tuc # tic = 410214986 # ra = 354.91395712 # dec = -69.19558694 # test = qradec(tic,ra,dec) ##uncomment to test an unobserved target: # tic = 17554529 # ra = 67.15464437 # dec=19.18028285 # test = qradec(tic,ra,dec)
[ "import pdb,os,time,subprocess,zipfile\n\n##a function to download tesscut TPF's\n\ndef qtic(ticnum,datadir = '/Volumes/UTOld/tessdata/',xsize=31,ysize=31,sector=None,dummymode=False):\n import tic_query\n ##get the ra and dec from TIC then just run the other function\n ra,dec = tic_query.tic_radec(ticnum)\n dummy,dummy2 = qradec(ticnum,ra,dec,datadir=datadir,xsize=xsize,ysize=ysize,sector=sector,dummymode=dummymode)\n return dummy,dummy2\n \n \ndef qradec(tic,ra,dec,datadir = '/Volumes/UTOld/tessdata/',xsize=31,ysize=31,sector=None,dummymode=False):\n ##ra and dec are either floats or strings\n ##sector and tic are integeres, as as x/ysize\n \n ##build the command\n queryurl = 'https://mast.stsci.edu/tesscut/api/v0.1/astrocut?ra='+str(ra)+'&dec='+str(dec)+'&x='+str(xsize)+'&y='+str(ysize)+'&units=px'\n # pdb.set_trace() \n # # https://mast.stsci.edu/tesscut/api/v0.1/astrocut?ra=136.524818800348&dec=-76.7857934853963&y=51&x=51&units=px&sector=all\n\n if sector != None: \n queryurl += '&sector='+str(sector)\n else:\n queryurl += '&sector=All'\n command = '/usr/local/bin/wget -O ./tesscut_tmp/latest.zip \"'+queryurl + '\"' \n \n process = subprocess.Popen(command,shell=True,stdout=subprocess.PIPE) \n process.wait()\n #print('subprocess returncode: ' + str(process.returncode))\n \n if process.returncode !=0:\n ##try the command again\n process = subprocess.Popen(command,shell=True,stdout=subprocess.PIPE) \n process.wait()\n \n if process.returncode != 0: \n print('bad return code, something wrong!')\n errorfile = open('latest_tesscut_errorfile.txt','wb')\n errorfile.write(command + ' \\n')\n errorfile.write(str(process.returncode) + ' \\n')\n errorfile.flush()\n errorfile.close()\n \n pdb.set_trace()\n \n \n \n #pdb.set_trace()\n ##'/usr/local/bin/wget -O ./tesscut_tmp/latest.zip \"https://mast.stsci.edu/tesscut/api/v0.1/astrocut?ra=179.2008&dec=-22.4893&y=1&x=1&sector=10\"'\n ##'/usr/local/bin/wget -O ./tesscut_tmp/latest.zip \"https://mast.stsci.edu/tesscut/api/v0.1/astrocut?ra=347.45642&dec=-14.51055&y=1&x=1&sector=10\"'\n filesize = os.path.getsize('./tesscut_tmp/latest.zip')\n if filesize < 5000:\n ##this is the case for a non-observed target in the input sector\n return -1,-1\n if dummymode == True: return 0,0 ##if in dummymode=True, just checking target observation, dont extract any files\n \n ##now repackage the download, basically we want one subdir for each tic number that gets updated every time if new stuff appears \n ##check directory exists:\n datalocation = datadir+'tic'+str(tic)+'/'\n if os.path.exists(datalocation)==False: os.makedirs(datalocation)\n \n ##unzip to the new data location\n zip_ref = zipfile.ZipFile('./tesscut_tmp/latest.zip', 'r')\n zip_ref.extractall(datalocation)\n zip_ref.close()\n ##now write in the corresponding log\n datestamp = time.strftime('%Y%m%d-%H:%M:%S', time.localtime(time.time()))\n logfile = open(datalocation+'tic'+str(tic)+'_dllog.txt','ab')\n logfile.write(datestamp+' '+str(ra)+' '+str(dec)+' '+str(xsize)+'x'+str(ysize)+' '+str(sector)+' \\n')\n logfile.close()\n\n return 0,datalocation\n \n \n \n##uncomment to test with DS tuc\n# tic = 410214986\n# ra = 354.91395712\n# dec = -69.19558694\n# test = qradec(tic,ra,dec)\n\n##uncomment to test an unobserved target:\n# tic = 17554529\n# ra = 67.15464437\n# dec=19.18028285\n# test = qradec(tic,ra,dec)", "import pdb, os, time, subprocess, zipfile\n\n\ndef qtic(ticnum, datadir='/Volumes/UTOld/tessdata/', xsize=31, ysize=31,\n sector=None, dummymode=False):\n import tic_query\n ra, dec = tic_query.tic_radec(ticnum)\n dummy, dummy2 = qradec(ticnum, ra, dec, datadir=datadir, xsize=xsize,\n ysize=ysize, sector=sector, dummymode=dummymode)\n return dummy, dummy2\n\n\ndef qradec(tic, ra, dec, datadir='/Volumes/UTOld/tessdata/', xsize=31,\n ysize=31, sector=None, dummymode=False):\n queryurl = 'https://mast.stsci.edu/tesscut/api/v0.1/astrocut?ra=' + str(ra\n ) + '&dec=' + str(dec) + '&x=' + str(xsize) + '&y=' + str(ysize\n ) + '&units=px'\n if sector != None:\n queryurl += '&sector=' + str(sector)\n else:\n queryurl += '&sector=All'\n command = ('/usr/local/bin/wget -O ./tesscut_tmp/latest.zip \"' +\n queryurl + '\"')\n process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE)\n process.wait()\n if process.returncode != 0:\n process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE)\n process.wait()\n if process.returncode != 0:\n print('bad return code, something wrong!')\n errorfile = open('latest_tesscut_errorfile.txt', 'wb')\n errorfile.write(command + ' \\n')\n errorfile.write(str(process.returncode) + ' \\n')\n errorfile.flush()\n errorfile.close()\n pdb.set_trace()\n filesize = os.path.getsize('./tesscut_tmp/latest.zip')\n if filesize < 5000:\n return -1, -1\n if dummymode == True:\n return 0, 0\n datalocation = datadir + 'tic' + str(tic) + '/'\n if os.path.exists(datalocation) == False:\n os.makedirs(datalocation)\n zip_ref = zipfile.ZipFile('./tesscut_tmp/latest.zip', 'r')\n zip_ref.extractall(datalocation)\n zip_ref.close()\n datestamp = time.strftime('%Y%m%d-%H:%M:%S', time.localtime(time.time()))\n logfile = open(datalocation + 'tic' + str(tic) + '_dllog.txt', 'ab')\n logfile.write(datestamp + ' ' + str(ra) + ' ' + str(dec) + ' ' + str(\n xsize) + 'x' + str(ysize) + ' ' + str(sector) + ' \\n')\n logfile.close()\n return 0, datalocation\n", "<import token>\n\n\ndef qtic(ticnum, datadir='/Volumes/UTOld/tessdata/', xsize=31, ysize=31,\n sector=None, dummymode=False):\n import tic_query\n ra, dec = tic_query.tic_radec(ticnum)\n dummy, dummy2 = qradec(ticnum, ra, dec, datadir=datadir, xsize=xsize,\n ysize=ysize, sector=sector, dummymode=dummymode)\n return dummy, dummy2\n\n\ndef qradec(tic, ra, dec, datadir='/Volumes/UTOld/tessdata/', xsize=31,\n ysize=31, sector=None, dummymode=False):\n queryurl = 'https://mast.stsci.edu/tesscut/api/v0.1/astrocut?ra=' + str(ra\n ) + '&dec=' + str(dec) + '&x=' + str(xsize) + '&y=' + str(ysize\n ) + '&units=px'\n if sector != None:\n queryurl += '&sector=' + str(sector)\n else:\n queryurl += '&sector=All'\n command = ('/usr/local/bin/wget -O ./tesscut_tmp/latest.zip \"' +\n queryurl + '\"')\n process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE)\n process.wait()\n if process.returncode != 0:\n process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE)\n process.wait()\n if process.returncode != 0:\n print('bad return code, something wrong!')\n errorfile = open('latest_tesscut_errorfile.txt', 'wb')\n errorfile.write(command + ' \\n')\n errorfile.write(str(process.returncode) + ' \\n')\n errorfile.flush()\n errorfile.close()\n pdb.set_trace()\n filesize = os.path.getsize('./tesscut_tmp/latest.zip')\n if filesize < 5000:\n return -1, -1\n if dummymode == True:\n return 0, 0\n datalocation = datadir + 'tic' + str(tic) + '/'\n if os.path.exists(datalocation) == False:\n os.makedirs(datalocation)\n zip_ref = zipfile.ZipFile('./tesscut_tmp/latest.zip', 'r')\n zip_ref.extractall(datalocation)\n zip_ref.close()\n datestamp = time.strftime('%Y%m%d-%H:%M:%S', time.localtime(time.time()))\n logfile = open(datalocation + 'tic' + str(tic) + '_dllog.txt', 'ab')\n logfile.write(datestamp + ' ' + str(ra) + ' ' + str(dec) + ' ' + str(\n xsize) + 'x' + str(ysize) + ' ' + str(sector) + ' \\n')\n logfile.close()\n return 0, datalocation\n", "<import token>\n<function token>\n\n\ndef qradec(tic, ra, dec, datadir='/Volumes/UTOld/tessdata/', xsize=31,\n ysize=31, sector=None, dummymode=False):\n queryurl = 'https://mast.stsci.edu/tesscut/api/v0.1/astrocut?ra=' + str(ra\n ) + '&dec=' + str(dec) + '&x=' + str(xsize) + '&y=' + str(ysize\n ) + '&units=px'\n if sector != None:\n queryurl += '&sector=' + str(sector)\n else:\n queryurl += '&sector=All'\n command = ('/usr/local/bin/wget -O ./tesscut_tmp/latest.zip \"' +\n queryurl + '\"')\n process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE)\n process.wait()\n if process.returncode != 0:\n process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE)\n process.wait()\n if process.returncode != 0:\n print('bad return code, something wrong!')\n errorfile = open('latest_tesscut_errorfile.txt', 'wb')\n errorfile.write(command + ' \\n')\n errorfile.write(str(process.returncode) + ' \\n')\n errorfile.flush()\n errorfile.close()\n pdb.set_trace()\n filesize = os.path.getsize('./tesscut_tmp/latest.zip')\n if filesize < 5000:\n return -1, -1\n if dummymode == True:\n return 0, 0\n datalocation = datadir + 'tic' + str(tic) + '/'\n if os.path.exists(datalocation) == False:\n os.makedirs(datalocation)\n zip_ref = zipfile.ZipFile('./tesscut_tmp/latest.zip', 'r')\n zip_ref.extractall(datalocation)\n zip_ref.close()\n datestamp = time.strftime('%Y%m%d-%H:%M:%S', time.localtime(time.time()))\n logfile = open(datalocation + 'tic' + str(tic) + '_dllog.txt', 'ab')\n logfile.write(datestamp + ' ' + str(ra) + ' ' + str(dec) + ' ' + str(\n xsize) + 'x' + str(ysize) + ' ' + str(sector) + ' \\n')\n logfile.close()\n return 0, datalocation\n", "<import token>\n<function token>\n<function token>\n" ]
false
98,697
6a3cd99bb2b71278021e6e959976de2d0c4ca741
from aiohttp import web import asyncio from easydict import EasyDict as edict from graphql import graphql import graphql_ws from graphql_ws.aiohttp import AiohttpConnectionContext import json from .graphiql_template import make_template class GraphQLController: def __init__(self, schema, context_builder, middleware): self.schema = schema self.context_builder = context_builder self.middleware = middleware self.subscription_server = graphql_ws.SubscriptionServer( schema, AiohttpConnectionContext ) self.websockets = set() def add_routes(self, app): routes = [ app.router.add_get("/graphiql", self.handle_root), app.router.add_get("/graphql", self.handle_graphql), app.router.add_post("/graphql", self.handle_graphql), app.router.add_get("/subscriptions", self.handle_subscriptions) ] return routes async def shutdown(self): if len(self.websockets) > 0: await asyncio.wait([wsr.close() for wsr in self.websockets]) async def handle_root(self, request): template = make_template(request.host) return web.Response(text=template, content_type="text/html") async def handle_subscriptions(self, request): response = web.WebSocketResponse(protocols=(graphql_ws.WS_PROTOCOL,)) self.websockets.add(response) await response.prepare(request) await self.subscription_server.handle(response, self.context_builder(request)) self.websockets.remove(response) return response async def get_query_document(self, request, content_type): if content_type in ("application/graphql"): return {'query': await request.text()} elif content_type in ("application/json", "text/plain"): return await request.json() elif request.content_type in ( "application/x-www-form-urlencoded", "multipart/form-data", ): return await dict(request.post()) raise Exception(f"Unhandled content type '{content_type}'") async def handle_graphql(self, request): query_document = await self.get_query_document(request, request.content_type) print(query_document['query']) result = await graphql( self.schema, source=query_document['query'], variable_values=query_document.get('variables', None), operation_name=query_document.get('operationName', None), context_value=self.context_builder(request), middleware=self.middleware ) response = {'data': result.data} if result.errors: response["errors"] = [error.formatted for error in result.errors] return web.json_response(response)
[ "from aiohttp import web\nimport asyncio\nfrom easydict import EasyDict as edict\nfrom graphql import graphql\nimport graphql_ws\nfrom graphql_ws.aiohttp import AiohttpConnectionContext\nimport json\n\nfrom .graphiql_template import make_template\n\n\nclass GraphQLController:\n\n def __init__(self, schema, context_builder, middleware):\n self.schema = schema\n self.context_builder = context_builder\n self.middleware = middleware\n\n self.subscription_server = graphql_ws.SubscriptionServer(\n schema, AiohttpConnectionContext\n )\n self.websockets = set()\n\n\n def add_routes(self, app):\n routes = [\n app.router.add_get(\"/graphiql\", self.handle_root),\n app.router.add_get(\"/graphql\", self.handle_graphql),\n app.router.add_post(\"/graphql\", self.handle_graphql),\n app.router.add_get(\"/subscriptions\", self.handle_subscriptions)\n ]\n\n return routes\n\n\n async def shutdown(self):\n if len(self.websockets) > 0:\n await asyncio.wait([wsr.close() for wsr in self.websockets])\n\n\n async def handle_root(self, request):\n template = make_template(request.host)\n return web.Response(text=template, content_type=\"text/html\")\n\n\n async def handle_subscriptions(self, request):\n response = web.WebSocketResponse(protocols=(graphql_ws.WS_PROTOCOL,))\n self.websockets.add(response)\n await response.prepare(request)\n await self.subscription_server.handle(response, self.context_builder(request))\n self.websockets.remove(response)\n return response\n\n\n async def get_query_document(self, request, content_type):\n if content_type in (\"application/graphql\"):\n return {'query': await request.text()}\n elif content_type in (\"application/json\", \"text/plain\"):\n return await request.json()\n elif request.content_type in (\n \"application/x-www-form-urlencoded\",\n \"multipart/form-data\",\n ):\n return await dict(request.post())\n\n raise Exception(f\"Unhandled content type '{content_type}'\")\n\n\n async def handle_graphql(self, request):\n\n query_document = await self.get_query_document(request, request.content_type)\n\n print(query_document['query'])\n\n result = await graphql(\n self.schema,\n source=query_document['query'],\n variable_values=query_document.get('variables', None),\n operation_name=query_document.get('operationName', None),\n context_value=self.context_builder(request),\n middleware=self.middleware\n )\n\n response = {'data': result.data}\n if result.errors:\n response[\"errors\"] = [error.formatted for error in result.errors]\n\n return web.json_response(response)\n", "from aiohttp import web\nimport asyncio\nfrom easydict import EasyDict as edict\nfrom graphql import graphql\nimport graphql_ws\nfrom graphql_ws.aiohttp import AiohttpConnectionContext\nimport json\nfrom .graphiql_template import make_template\n\n\nclass GraphQLController:\n\n def __init__(self, schema, context_builder, middleware):\n self.schema = schema\n self.context_builder = context_builder\n self.middleware = middleware\n self.subscription_server = graphql_ws.SubscriptionServer(schema,\n AiohttpConnectionContext)\n self.websockets = set()\n\n def add_routes(self, app):\n routes = [app.router.add_get('/graphiql', self.handle_root), app.\n router.add_get('/graphql', self.handle_graphql), app.router.\n add_post('/graphql', self.handle_graphql), app.router.add_get(\n '/subscriptions', self.handle_subscriptions)]\n return routes\n\n async def shutdown(self):\n if len(self.websockets) > 0:\n await asyncio.wait([wsr.close() for wsr in self.websockets])\n\n async def handle_root(self, request):\n template = make_template(request.host)\n return web.Response(text=template, content_type='text/html')\n\n async def handle_subscriptions(self, request):\n response = web.WebSocketResponse(protocols=(graphql_ws.WS_PROTOCOL,))\n self.websockets.add(response)\n await response.prepare(request)\n await self.subscription_server.handle(response, self.\n context_builder(request))\n self.websockets.remove(response)\n return response\n\n async def get_query_document(self, request, content_type):\n if content_type in 'application/graphql':\n return {'query': await request.text()}\n elif content_type in ('application/json', 'text/plain'):\n return await request.json()\n elif request.content_type in ('application/x-www-form-urlencoded',\n 'multipart/form-data'):\n return await dict(request.post())\n raise Exception(f\"Unhandled content type '{content_type}'\")\n\n async def handle_graphql(self, request):\n query_document = await self.get_query_document(request, request.\n content_type)\n print(query_document['query'])\n result = await graphql(self.schema, source=query_document['query'],\n variable_values=query_document.get('variables', None),\n operation_name=query_document.get('operationName', None),\n context_value=self.context_builder(request), middleware=self.\n middleware)\n response = {'data': result.data}\n if result.errors:\n response['errors'] = [error.formatted for error in result.errors]\n return web.json_response(response)\n", "<import token>\n\n\nclass GraphQLController:\n\n def __init__(self, schema, context_builder, middleware):\n self.schema = schema\n self.context_builder = context_builder\n self.middleware = middleware\n self.subscription_server = graphql_ws.SubscriptionServer(schema,\n AiohttpConnectionContext)\n self.websockets = set()\n\n def add_routes(self, app):\n routes = [app.router.add_get('/graphiql', self.handle_root), app.\n router.add_get('/graphql', self.handle_graphql), app.router.\n add_post('/graphql', self.handle_graphql), app.router.add_get(\n '/subscriptions', self.handle_subscriptions)]\n return routes\n\n async def shutdown(self):\n if len(self.websockets) > 0:\n await asyncio.wait([wsr.close() for wsr in self.websockets])\n\n async def handle_root(self, request):\n template = make_template(request.host)\n return web.Response(text=template, content_type='text/html')\n\n async def handle_subscriptions(self, request):\n response = web.WebSocketResponse(protocols=(graphql_ws.WS_PROTOCOL,))\n self.websockets.add(response)\n await response.prepare(request)\n await self.subscription_server.handle(response, self.\n context_builder(request))\n self.websockets.remove(response)\n return response\n\n async def get_query_document(self, request, content_type):\n if content_type in 'application/graphql':\n return {'query': await request.text()}\n elif content_type in ('application/json', 'text/plain'):\n return await request.json()\n elif request.content_type in ('application/x-www-form-urlencoded',\n 'multipart/form-data'):\n return await dict(request.post())\n raise Exception(f\"Unhandled content type '{content_type}'\")\n\n async def handle_graphql(self, request):\n query_document = await self.get_query_document(request, request.\n content_type)\n print(query_document['query'])\n result = await graphql(self.schema, source=query_document['query'],\n variable_values=query_document.get('variables', None),\n operation_name=query_document.get('operationName', None),\n context_value=self.context_builder(request), middleware=self.\n middleware)\n response = {'data': result.data}\n if result.errors:\n response['errors'] = [error.formatted for error in result.errors]\n return web.json_response(response)\n", "<import token>\n\n\nclass GraphQLController:\n\n def __init__(self, schema, context_builder, middleware):\n self.schema = schema\n self.context_builder = context_builder\n self.middleware = middleware\n self.subscription_server = graphql_ws.SubscriptionServer(schema,\n AiohttpConnectionContext)\n self.websockets = set()\n <function token>\n\n async def shutdown(self):\n if len(self.websockets) > 0:\n await asyncio.wait([wsr.close() for wsr in self.websockets])\n\n async def handle_root(self, request):\n template = make_template(request.host)\n return web.Response(text=template, content_type='text/html')\n\n async def handle_subscriptions(self, request):\n response = web.WebSocketResponse(protocols=(graphql_ws.WS_PROTOCOL,))\n self.websockets.add(response)\n await response.prepare(request)\n await self.subscription_server.handle(response, self.\n context_builder(request))\n self.websockets.remove(response)\n return response\n\n async def get_query_document(self, request, content_type):\n if content_type in 'application/graphql':\n return {'query': await request.text()}\n elif content_type in ('application/json', 'text/plain'):\n return await request.json()\n elif request.content_type in ('application/x-www-form-urlencoded',\n 'multipart/form-data'):\n return await dict(request.post())\n raise Exception(f\"Unhandled content type '{content_type}'\")\n\n async def handle_graphql(self, request):\n query_document = await self.get_query_document(request, request.\n content_type)\n print(query_document['query'])\n result = await graphql(self.schema, source=query_document['query'],\n variable_values=query_document.get('variables', None),\n operation_name=query_document.get('operationName', None),\n context_value=self.context_builder(request), middleware=self.\n middleware)\n response = {'data': result.data}\n if result.errors:\n response['errors'] = [error.formatted for error in result.errors]\n return web.json_response(response)\n", "<import token>\n\n\nclass GraphQLController:\n <function token>\n <function token>\n\n async def shutdown(self):\n if len(self.websockets) > 0:\n await asyncio.wait([wsr.close() for wsr in self.websockets])\n\n async def handle_root(self, request):\n template = make_template(request.host)\n return web.Response(text=template, content_type='text/html')\n\n async def handle_subscriptions(self, request):\n response = web.WebSocketResponse(protocols=(graphql_ws.WS_PROTOCOL,))\n self.websockets.add(response)\n await response.prepare(request)\n await self.subscription_server.handle(response, self.\n context_builder(request))\n self.websockets.remove(response)\n return response\n\n async def get_query_document(self, request, content_type):\n if content_type in 'application/graphql':\n return {'query': await request.text()}\n elif content_type in ('application/json', 'text/plain'):\n return await request.json()\n elif request.content_type in ('application/x-www-form-urlencoded',\n 'multipart/form-data'):\n return await dict(request.post())\n raise Exception(f\"Unhandled content type '{content_type}'\")\n\n async def handle_graphql(self, request):\n query_document = await self.get_query_document(request, request.\n content_type)\n print(query_document['query'])\n result = await graphql(self.schema, source=query_document['query'],\n variable_values=query_document.get('variables', None),\n operation_name=query_document.get('operationName', None),\n context_value=self.context_builder(request), middleware=self.\n middleware)\n response = {'data': result.data}\n if result.errors:\n response['errors'] = [error.formatted for error in result.errors]\n return web.json_response(response)\n", "<import token>\n<class token>\n" ]
false
98,698
10433430aeb13c0b4f37aef82740cd22eaaa0fdc
str=input().split('WUB') res=[] for i in str: if i!='': res.append(i) print(' '.join(res))
[ "str=input().split('WUB')\nres=[]\nfor i in str:\n if i!='':\n res.append(i)\nprint(' '.join(res))\n", "str = input().split('WUB')\nres = []\nfor i in str:\n if i != '':\n res.append(i)\nprint(' '.join(res))\n", "<assignment token>\nfor i in str:\n if i != '':\n res.append(i)\nprint(' '.join(res))\n", "<assignment token>\n<code token>\n" ]
false
98,699
3c99ed4d337eb1a9bc8087c23048fddf5a9eac14
from flask import Flask, request, render_template, redirect, flash import os app = Flask(__name__) @app.route("/") def home(): return render_template("application-form.html") @app.route("/application", methods=['GET','POST']) def show_form(): given_name_input = request.form.get("given-name") surname_input = request.form.get("surname") salary_input = request.form.get("salary") job_input = request.form.get("job") output_text = "Dear %s %s, thank you for applying with the new web order. You have asked for %s to be our %s. Your request will be considered in the order in which it was received." %(given_name_input, surname_input, salary_input, job_input) return render_template("form_ack.html", submission_text=output_text) if __name__ == "__main__": port = int(os.environ.get("PORT", 5000)) app.run(debug=True, port=port)
[ "from flask import Flask, request, render_template, redirect, flash\nimport os\n\napp = Flask(__name__)\n\[email protected](\"/\")\ndef home():\n\treturn render_template(\"application-form.html\")\n\t\[email protected](\"/application\", methods=['GET','POST'])\ndef show_form():\n\tgiven_name_input = request.form.get(\"given-name\")\n\tsurname_input = request.form.get(\"surname\")\n\tsalary_input = request.form.get(\"salary\")\n\tjob_input = request.form.get(\"job\")\n\t\n\toutput_text = \"Dear %s %s, thank you for applying with the new web order. You have asked for %s to be our %s. Your request will be considered in the order in which it was received.\" %(given_name_input, surname_input, salary_input, job_input)\n\t\n\treturn render_template(\"form_ack.html\", submission_text=output_text)\n\t\nif __name__ == \"__main__\":\n port = int(os.environ.get(\"PORT\", 5000))\n app.run(debug=True, port=port)", "from flask import Flask, request, render_template, redirect, flash\nimport os\napp = Flask(__name__)\n\n\[email protected]('/')\ndef home():\n return render_template('application-form.html')\n\n\[email protected]('/application', methods=['GET', 'POST'])\ndef show_form():\n given_name_input = request.form.get('given-name')\n surname_input = request.form.get('surname')\n salary_input = request.form.get('salary')\n job_input = request.form.get('job')\n output_text = (\n 'Dear %s %s, thank you for applying with the new web order. You have asked for %s to be our %s. Your request will be considered in the order in which it was received.'\n % (given_name_input, surname_input, salary_input, job_input))\n return render_template('form_ack.html', submission_text=output_text)\n\n\nif __name__ == '__main__':\n port = int(os.environ.get('PORT', 5000))\n app.run(debug=True, port=port)\n", "<import token>\napp = Flask(__name__)\n\n\[email protected]('/')\ndef home():\n return render_template('application-form.html')\n\n\[email protected]('/application', methods=['GET', 'POST'])\ndef show_form():\n given_name_input = request.form.get('given-name')\n surname_input = request.form.get('surname')\n salary_input = request.form.get('salary')\n job_input = request.form.get('job')\n output_text = (\n 'Dear %s %s, thank you for applying with the new web order. You have asked for %s to be our %s. Your request will be considered in the order in which it was received.'\n % (given_name_input, surname_input, salary_input, job_input))\n return render_template('form_ack.html', submission_text=output_text)\n\n\nif __name__ == '__main__':\n port = int(os.environ.get('PORT', 5000))\n app.run(debug=True, port=port)\n", "<import token>\n<assignment token>\n\n\[email protected]('/')\ndef home():\n return render_template('application-form.html')\n\n\[email protected]('/application', methods=['GET', 'POST'])\ndef show_form():\n given_name_input = request.form.get('given-name')\n surname_input = request.form.get('surname')\n salary_input = request.form.get('salary')\n job_input = request.form.get('job')\n output_text = (\n 'Dear %s %s, thank you for applying with the new web order. You have asked for %s to be our %s. Your request will be considered in the order in which it was received.'\n % (given_name_input, surname_input, salary_input, job_input))\n return render_template('form_ack.html', submission_text=output_text)\n\n\nif __name__ == '__main__':\n port = int(os.environ.get('PORT', 5000))\n app.run(debug=True, port=port)\n", "<import token>\n<assignment token>\n\n\[email protected]('/')\ndef home():\n return render_template('application-form.html')\n\n\[email protected]('/application', methods=['GET', 'POST'])\ndef show_form():\n given_name_input = request.form.get('given-name')\n surname_input = request.form.get('surname')\n salary_input = request.form.get('salary')\n job_input = request.form.get('job')\n output_text = (\n 'Dear %s %s, thank you for applying with the new web order. You have asked for %s to be our %s. Your request will be considered in the order in which it was received.'\n % (given_name_input, surname_input, salary_input, job_input))\n return render_template('form_ack.html', submission_text=output_text)\n\n\n<code token>\n", "<import token>\n<assignment token>\n\n\[email protected]('/')\ndef home():\n return render_template('application-form.html')\n\n\n<function token>\n<code token>\n", "<import token>\n<assignment token>\n<function token>\n<function token>\n<code token>\n" ]
false