Reset23/the-stack-v2-processed · Datasets at Hugging Face

1f49226de6a937a2446a672f978dfcee50e12379

dea198896f679e577a3fd0923e3fa4470da4b9cc

/journal/pyfakefs_mutants/LCR_BoolOp_mutant_1507055465.py

26bd0cf441af76594af236ad2c0fa0dba0140aaf

[]

no_license

naustarg/cbmcmutate

f138ab2b04b4be70d735de90815ac670ae6042ce

a6ee6fd395338bb2dfd6bdffabb2dc484cb303f1

refs/heads/master

2020-04-04T08:10:15.913309

2018-05-21T18:23:58

null

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UTF-8

Python

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py

# line: 91 'A fake filesystem implementation for unit testing.\n\n:Includes:\n * FakeFile: Provides the appearance of a real file.\n * FakeDirectory: Provides the appearance of a real directory.\n * FakeFilesystem: Provides the appearance of a real directory hierarchy.\n * FakeOsModule: Uses FakeFilesystem to provide a fake os module replacement.\n * FakePathModule: Faked os.path module replacement.\n * FakeFileOpen: Faked file() and open() function replacements.\n\n:Usage:\n\n>>> from pyfakefs import fake_filesystem\n>>> filesystem = fake_filesystem.FakeFilesystem()\n>>> os_module = fake_filesystem.FakeOsModule(filesystem)\n>>> pathname = \'/a/new/dir/new-file\'\n\nCreate a new file object, creating parent directory objects as needed:\n\n>>> os_module.path.exists(pathname)\nFalse\n>>> new_file = filesystem.CreateFile(pathname)\n\nFile objects can\'t be overwritten:\n\n>>> os_module.path.exists(pathname)\nTrue\n>>> try:\n... filesystem.CreateFile(pathname)\n... except IOError as e:\n... assert e.errno == errno.EEXIST, \'unexpected errno: %d\' % e.errno\n... assert e.strerror == \'File already exists in fake filesystem\'\n\nRemove a file object:\n\n>>> filesystem.RemoveObject(pathname)\n>>> os_module.path.exists(pathname)\nFalse\n\nCreate a new file object at the previous path:\n\n>>> beatles_file = filesystem.CreateFile(pathname,\n... contents=\'Dear Prudence\\nWon\\\'t you come out to play?\\n\')\n>>> os_module.path.exists(pathname)\nTrue\n\nUse the FakeFileOpen class to read fake file objects:\n\n>>> file_module = fake_filesystem.FakeFileOpen(filesystem)\n>>> for line in file_module(pathname):\n... print(line.rstrip())\n...\nDear Prudence\nWon\'t you come out to play?\n\nFile objects cannot be treated like directory objects:\n\n>>> os_module.listdir(pathname) #doctest: +NORMALIZE_WHITESPACE\nTraceback (most recent call last):\n File "fake_filesystem.py", line 291, in listdir\n raise OSError(errno.ENOTDIR,\nOSError: [Errno 20] Fake os module: not a directory: \'/a/new/dir/new-file\'\n\nThe FakeOsModule can list fake directory objects:\n\n>>> os_module.listdir(os_module.path.dirname(pathname))\n[\'new-file\']\n\nThe FakeOsModule also supports stat operations:\n\n>>> import stat\n>>> stat.S_ISREG(os_module.stat(pathname).st_mode)\nTrue\n>>> stat.S_ISDIR(os_module.stat(os_module.path.dirname(pathname)).st_mode)\nTrue\n' # line: 92 import codecs # line: 93 import errno # line: 94 import heapq # line: 95 import io # line: 96 import locale # line: 97 import platform # line: 98 import os # line: 99 import sys # line: 100 import time # line: 101 import warnings # line: 103 from collections import namedtuple # line: 105 import stat # line: 106 from copy import copy # line: 108 __pychecker__ = 'no-reimportself' # line: 110 __version__ = '3.3' # line: 112 PERM_READ = 256 # line: 113 PERM_WRITE = 128 # line: 114 PERM_EXE = 64 # line: 115 PERM_DEF = 511 # line: 116 PERM_DEF_FILE = 438 # line: 117 PERM_ALL = 4095 # line: 119 _OpenModes = namedtuple('open_modes', 'must_exist can_read can_write truncate append must_not_exist') # line: 125 _OPEN_MODE_MAP = {'r': (True, True, False, False, False, False), 'w': (False, False, True, True, False, False), 'a': (False, False, True, False, True, False), 'r+': (True, True, True, False, False, False), 'w+': (False, True, True, True, False, False), 'a+': (False, True, True, False, True, False), } # line: 136 if ((sys.version_info[0] < 3) and (sys.platform != 'win32')): # line: 137 _OPEN_MODE_MAP['rw'] = (True, True, True, False, False, False) # line: 139 if (sys.version_info >= (3, 3)): # line: 140 _OPEN_MODE_MAP['x'] = (False, False, True, False, False, True) # line: 141 _OPEN_MODE_MAP['x+'] = (False, True, True, False, False, True) # line: 143 if sys.platform.startswith('linux'): # line: 146 _MAX_LINK_DEPTH = 40 else: # line: 149 _MAX_LINK_DEPTH = 32 # line: 151 FAKE_PATH_MODULE_DEPRECATION = 'Do not instantiate a FakePathModule directly; let FakeOsModule instantiate it. See the FakeOsModule docstring for details.' # line: 155 if (sys.platform == 'win32'): # line: 157 OSError = WindowsError # line: 160 class FakeLargeFileIoException(Exception): # line: 163 'Exception thrown on unsupported operations for fake large files.\n Fake large files have a size with no real content.\n ' # line: 165 def __init__(self, file_path): # line: 166 super(FakeLargeFileIoException, self).__init__(('Read and write operations not supported for fake large file: %s' % file_path)) # line: 171 def CopyModule(old): # line: 172 'Recompiles and creates new module object.' # line: 173 saved = sys.modules.pop(old.__name__, None) # line: 174 new = __import__(old.__name__) # line: 175 sys.modules[old.__name__] = saved # line: 176 return new # line: 179 class _FakeStatResult(object): # line: 183 'Mimics os.stat_result for use as return type of `stat()` and similar.\n This is needed as `os.stat_result` has no possibility to set\n nanosecond times directly.\n ' # line: 184 long_type = (long if (sys.version_info < (3,)) else int) # line: 186 def __init__(self, initial_time=None): # line: 187 self.use_float = FakeOsModule.stat_float_times # line: 188 self.st_mode = None # line: 189 self.st_ino = None # line: 190 self.st_dev = None # line: 191 self.st_nlink = 0 # line: 192 self.st_uid = None # line: 193 self.st_gid = None # line: 194 self.st_size = None # line: 195 if (initial_time is not None): # line: 196 self._st_atime_ns = self.long_type((initial_time * 1000000000.0)) else: # line: 198 self._st_atime_ns = None # line: 199 self._st_mtime_ns = self._st_atime_ns # line: 200 self._st_ctime_ns = self._st_atime_ns # line: 202 def __eq__(self, other): # line: 203 return (isinstance(other, _FakeStatResult) and (self._st_atime_ns == other._st_atime_ns) and (self._st_ctime_ns == other._st_ctime_ns) and (self._st_mtime_ns == other._st_mtime_ns) and (self.st_size == other.st_size) and (self.st_gid == other.st_gid) and (self.st_uid == other.st_uid) and (self.st_nlink == other.st_nlink) and (self.st_dev == other.st_dev) and (self.st_ino == other.st_ino) and (self.st_mode == other.st_mode)) # line: 217 def __ne__(self, other): # line: 218 return (not (self == other)) # line: 220 def copy(self): # line: 223 'Return a copy where the float usage is hard-coded to mimic the behavior\n of the real os.stat_result.\n ' # line: 224 use_float = self.use_float() # line: 225 stat_result = copy(self) # line: 226 stat_result.use_float = (lambda : use_float) # line: 227 return stat_result # line: 229 def set_from_stat_result(self, stat_result): # line: 233 'Set values from a real os.stat_result.\n Note: values that are controlled by the fake filesystem are not set.\n This includes st_ino, st_dev and st_nlink.\n ' # line: 234 self.st_mode = stat_result.st_mode # line: 235 self.st_uid = stat_result.st_uid # line: 236 self.st_gid = stat_result.st_gid # line: 237 self.st_size = stat_result.st_size # line: 238 if (sys.version_info < (3, 3)): # line: 239 self._st_atime_ns = self.long_type((stat_result.st_atime * 1000000000.0)) # line: 240 self._st_mtime_ns = self.long_type((stat_result.st_mtime * 1000000000.0)) # line: 241 self._st_ctime_ns = self.long_type((stat_result.st_ctime * 1000000000.0)) else: # line: 243 self._st_atime_ns = stat_result.st_atime_ns # line: 244 self._st_mtime_ns = stat_result.st_mtime_ns # line: 245 self._st_ctime_ns = stat_result.st_ctime_ns # line: 247 @property # line: 247 def st_ctime(self): # line: 249 'Return the creation time in seconds.' # line: 250 ctime = (self._st_ctime_ns / 1000000000.0) # line: 251 return (ctime if self.use_float() else int(ctime)) # line: 253 @property # line: 253 def st_atime(self): # line: 255 'Return the access time in seconds.' # line: 256 atime = (self._st_atime_ns / 1000000000.0) # line: 257 return (atime if self.use_float() else int(atime)) # line: 259 @property # line: 259 def st_mtime(self): # line: 261 'Return the modification time in seconds.' # line: 262 mtime = (self._st_mtime_ns / 1000000000.0) # line: 263 return (mtime if self.use_float() else int(mtime)) # line: 265 @st_ctime.setter # line: 265 def st_ctime(self, val): # line: 267 'Set the creation time in seconds.' # line: 268 self._st_ctime_ns = self.long_type((val * 1000000000.0)) # line: 270 @st_atime.setter # line: 270 def st_atime(self, val): # line: 272 'Set the access time in seconds.' # line: 273 self._st_atime_ns = self.long_type((val * 1000000000.0)) # line: 275 @st_mtime.setter # line: 275 def st_mtime(self, val): # line: 277 'Set the modification time in seconds.' # line: 278 self._st_mtime_ns = self.long_type((val * 1000000000.0)) # line: 280 def __getitem__(self, item): # line: 281 'Implement item access to mimic `os.stat_result` behavior.' # line: 282 if (item == stat.ST_MODE): # line: 283 return self.st_mode # line: 284 if (item == stat.ST_INO): # line: 285 return self.st_ino # line: 286 if (item == stat.ST_DEV): # line: 287 return self.st_dev # line: 288 if (item == stat.ST_NLINK): # line: 289 return self.st_nlink # line: 290 if (item == stat.ST_UID): # line: 291 return self.st_uid # line: 292 if (item == stat.ST_GID): # line: 293 return self.st_gid # line: 294 if (item == stat.ST_SIZE): # line: 295 return self.st_size # line: 296 if (item == stat.ST_ATIME): # line: 298 return int(self.st_atime) # line: 299 if (item == stat.ST_MTIME): # line: 300 return int(self.st_mtime) # line: 301 if (item == stat.ST_CTIME): # line: 302 return int(self.st_ctime) # line: 304 if (sys.version_info >= (3, 3)): # line: 306 @property # line: 306 def st_atime_ns(self): # line: 308 'Return the access time in nanoseconds.' # line: 309 return self._st_atime_ns # line: 311 @property # line: 311 def st_mtime_ns(self): # line: 313 'Return the modification time in nanoseconds.' # line: 314 return self._st_mtime_ns # line: 316 @property # line: 316 def st_ctime_ns(self): # line: 318 'Return the creation time in nanoseconds.' # line: 319 return self._st_ctime_ns # line: 321 @st_atime_ns.setter # line: 321 def st_atime_ns(self, val): # line: 323 'Set the access time in nanoseconds.' # line: 324 self._st_atime_ns = val # line: 326 @st_mtime_ns.setter # line: 326 def st_mtime_ns(self, val): # line: 328 'Set the modification time of the fake file in nanoseconds.' # line: 329 self._st_mtime_ns = val # line: 331 @st_ctime_ns.setter # line: 331 def st_ctime_ns(self, val): # line: 333 'Set the creation time of the fake file in nanoseconds.' # line: 334 self._st_ctime_ns = val # line: 337 class FakeFile(object): # line: 353 "Provides the appearance of a real file.\n\n Attributes currently faked out:\n st_mode: user-specified, otherwise S_IFREG\n st_ctime: the time.time() timestamp of the file change time (updated\n each time a file's attributes is modified).\n st_atime: the time.time() timestamp when the file was last accessed.\n st_mtime: the time.time() timestamp when the file was last modified.\n st_size: the size of the file\n st_nlink: the number of hard links to the file\n st_ino: the inode number - a unique number identifying the file\n st_dev: a unique number identifying the (fake) file system device the file belongs to\n\n Other attributes needed by os.stat are assigned default value of None\n these include: st_uid, st_gid\n " # line: 355 def __init__(self, name, st_mode=(stat.S_IFREG | PERM_DEF_FILE), contents=None, filesystem=None, encoding=None, errors=None): # line: 371 'init.\n\n Args:\n name: name of the file/directory, without parent path information\n st_mode: the stat.S_IF* constant representing the file type (i.e.\n stat.S_IFREG, stat.S_IFDIR)\n contents: the contents of the filesystem object; should be a string or byte object for\n regular files, and a list of other FakeFile or FakeDirectory objects\n for FakeDirectory objects\n filesystem: the fake filesystem where the file is created.\n New in pyfakefs 2.9.\n encoding: if contents is a unicode string, the encoding used for serialization\n errors: the error mode used for encoding/decoding errors\n New in pyfakefs 3.2.\n ' # line: 372 self.name = name # line: 373 self.stat_result = _FakeStatResult(time.time()) # line: 374 self.stat_result.st_mode = st_mode # line: 375 self.encoding = encoding # line: 376 self.errors = (errors or 'strict') # line: 377 self._byte_contents = self._encode_contents(contents) # line: 378 self.stat_result.st_size = (len(self._byte_contents) if (self._byte_contents is not None) else 0) # line: 381 if (filesystem is None): # line: 382 raise ValueError('filesystem shall not be None') # line: 383 self.filesystem = filesystem # line: 384 self.epoch = 0 # line: 385 self.parent_dir = None # line: 387 @property # line: 387 def byte_contents(self): # line: 389 return self._byte_contents # line: 391 @property # line: 391 def contents(self): # line: 393 'Return the contents as string with the original encoding.' # line: 394 if ((sys.version_info >= (3, 0)) and isinstance(self.byte_contents, bytes)): # line: 395 return self.byte_contents.decode((self.encoding or locale.getpreferredencoding(False)), errors=self.errors) # line: 398 return self.byte_contents # line: 400 def SetLargeFileSize(self, st_size): # line: 413 "Sets the self.st_size attribute and replaces self.content with None.\n\n Provided specifically to simulate very large files without regards\n to their content (which wouldn't fit in memory).\n Note that read/write operations with such a file raise FakeLargeFileIoException.\n\n Args:\n st_size: (int) The desired file size\n\n Raises:\n IOError: if the st_size is not a non-negative integer,\n or if st_size exceeds the available file system space\n " # line: 414 self._check_positive_int(st_size) # line: 415 if self.st_size: # line: 416 self.SetSize(0) # line: 417 self.filesystem.ChangeDiskUsage(st_size, self.name, self.st_dev) # line: 418 self.st_size = st_size # line: 419 self._byte_contents = None # line: 421 def _check_positive_int(self, size): # line: 423 int_types = ((int, long) if (sys.version_info < (3, 0)) else int) # line: 424 if ((not isinstance(size, int_types)) or (size < 0)): # line: 425 raise IOError(errno.ENOSPC, ('Fake file object: size must be a non-negative integer, but is %s' % size), self.name) # line: 429 def IsLargeFile(self): # line: 430 'Return True if this file was initialized with size but no contents.' # line: 431 return (self._byte_contents is None) # line: 433 def _encode_contents(self, contents): # line: 435 if ((sys.version_info >= (3, 0)) and isinstance(contents, str)): # line: 436 contents = bytes(contents, (self.encoding or locale.getpreferredencoding(False)), self.errors) elif ((sys.version_info < (3, 0)) and isinstance(contents, unicode)): # line: 438 contents = contents.encode((self.encoding or locale.getpreferredencoding(False)), self.errors) # line: 439 return contents # line: 441 def _set_initial_contents(self, contents): # line: 450 'Sets the file contents and size.\n Called internally after initial file creation.\n\n Args:\n contents: string, new content of file.\n Raises:\n IOError: if the st_size is not a non-negative integer,\n or if st_size exceeds the available file system space\n ' # line: 451 contents = self._encode_contents(contents) # line: 452 st_size = len(contents) # line: 454 if self._byte_contents: # line: 455 self.SetSize(0) # line: 456 current_size = (self.st_size or 0) # line: 457 self.filesystem.ChangeDiskUsage((st_size - current_size), self.name, self.st_dev) # line: 458 self._byte_contents = contents # line: 459 self.st_size = st_size # line: 460 self.epoch += 1 # line: 462 def SetContents(self, contents, encoding=None): # line: 475 'Sets the file contents and size and increases the modification time.\n\n Args:\n contents: (str, bytes, unicode) new content of file.\n encoding: (str) the encoding to be used for writing the contents\n if they are a unicode string.\n If not given, the locale preferred encoding is used.\n New in pyfakefs 2.9.\n\n Raises:\n IOError: if the st_size is not a non-negative integer,\n or if st_size exceeds the available file system space.\n ' # line: 476 self.encoding = encoding # line: 477 self._set_initial_contents(contents) # line: 478 current_time = time.time() # line: 479 self.st_ctime = current_time # line: 480 self.st_mtime = current_time # line: 482 def GetSize(self): # line: 485 'Returns the size in bytes of the file contents.\n New in pyfakefs 2.9.\n ' # line: 486 return self.st_size # line: 488 def GetPath(self): # line: 489 'Return the full path of the current object.' # line: 490 names = [] # line: 491 obj = self # line: 492 while obj: # line: 493 names.insert(0, obj.name) # line: 494 obj = obj.parent_dir # line: 495 sep = self.filesystem._path_separator(self.name) # line: 496 return self.filesystem.NormalizePath(sep.join(names[1:])) # line: 498 def SetSize(self, st_size): # line: 507 'Resizes file content, padding with nulls if new size exceeds the old.\n\n Args:\n st_size: The desired size for the file.\n\n Raises:\n IOError: if the st_size arg is not a non-negative integer\n or if st_size exceeds the available file system space\n ' # line: 509 self._check_positive_int(st_size) # line: 510 current_size = (self.st_size or 0) # line: 511 self.filesystem.ChangeDiskUsage((st_size - current_size), self.name, self.st_dev) # line: 512 if self._byte_contents: # line: 513 if (st_size < current_size): # line: 514 self._byte_contents = self._byte_contents[:st_size] elif (sys.version_info < (3, 0)): # line: 517 self._byte_contents = ('%s%s' % (self._byte_contents, ('\x00' * (st_size - current_size)))) else: # line: 520 self._byte_contents += ('\x00' * (st_size - current_size)) # line: 521 self.st_size = st_size # line: 522 self.epoch += 1 # line: 524 def SetATime(self, st_atime): # line: 529 'Set the self.st_atime attribute.\n\n Args:\n st_atime: The desired access time.\n ' # line: 530 self.st_atime = st_atime # line: 532 def SetMTime(self, st_mtime): # line: 537 'Set the self.st_mtime attribute.\n\n Args:\n st_mtime: The desired modification time.\n ' # line: 538 self.st_mtime = st_mtime # line: 540 def SetCTime(self, st_ctime): # line: 546 'Set the self.st_ctime attribute.\n New in pyfakefs 3.0.\n\n Args:\n st_ctime: The desired creation time.\n ' # line: 547 self.st_ctime = st_ctime # line: 549 def __getattr__(self, item): # line: 550 'Forward some properties to stat_result.' # line: 551 return getattr(self.stat_result, item) # line: 553 def __setattr__(self, key, value): # line: 554 'Forward some properties to stat_result.' # line: 555 if (key in ('st_mode', 'st_ino', 'st_dev', 'st_nlink', 'st_uid', 'st_gid', 'st_size', 'st_atime', 'st_mtime', 'st_ctime', 'st_atime_ns', 'st_mtime_ns', 'st_ctime_ns')): # line: 558 return setattr(self.stat_result, key, value) # line: 559 return super(FakeFile, self).__setattr__(key, value) # line: 561 def __str__(self): # line: 562 return ('%s(%o)' % (self.name, self.st_mode)) # line: 564 def SetIno(self, st_ino): # line: 571 'Set the self.st_ino attribute.\n Note that a unique inode is assigned automatically to a new fake file.\n Using this function does not guarantee uniqueness and should used with caution.\n\n Args:\n st_ino: (int) The desired inode.\n ' # line: 572 self.st_ino = st_ino # line: 575 class FakeFileFromRealFile(FakeFile): # line: 580 'Represents a fake file copied from the real file system.\n \n The contents of the file are read on demand only.\n New in pyfakefs 3.2.\n ' # line: 582 def __init__(self, file_path, filesystem, read_only=True): # line: 593 'init.\n\n Args:\n file_path: path to the existing file.\n filesystem: the fake filesystem where the file is created.\n read_only: if set, the file is treated as read-only, e.g. a write access raises an exception;\n otherwise, writing to the file changes the fake file only as usually.\n\n Raises:\n OSError: if the file does not exist in the real file system.\n ' # line: 594 real_stat = os.stat(file_path) # line: 596 super(FakeFileFromRealFile, self).__init__(name=os.path.basename(file_path), filesystem=filesystem) # line: 598 self.stat_result.set_from_stat_result(real_stat) # line: 599 if read_only: # line: 600 self.st_mode &= 261924 # line: 601 self.file_path = file_path # line: 602 self.contents_read = False # line: 604 @property # line: 604 def byte_contents(self): # line: 606 if (not self.contents_read): # line: 607 self.contents_read = True # line: 608 with io.open(self.file_path, 'rb') as f: # line: 609 self._byte_contents = f.read() # line: 611 self.st_atime = os.stat(self.file_path).st_atime # line: 612 return self._byte_contents # line: 614 def IsLargeFile(self): # line: 615 'The contents are never faked.' # line: 616 return False # line: 619 class FakeDirectory(FakeFile): # line: 620 'Provides the appearance of a real directory.' # line: 622 def __init__(self, name, perm_bits=PERM_DEF, filesystem=None): # line: 629 'init.\n\n Args:\n name: name of the file/directory, without parent path information\n perm_bits: permission bits. defaults to 0o777.\n filesystem: if set, the fake filesystem where the directory is created\n ' # line: 630 FakeFile.__init__(self, name, (stat.S_IFDIR | perm_bits), {}, filesystem=filesystem) # line: 632 self.st_nlink += 1 # line: 634 def SetContents(self, contents, encoding=None): # line: 635 error_class = (OSError if self.filesystem.is_windows_fs else IOError) # line: 636 raise error_class(errno.EISDIR, 'Trying to write to directory') # line: 638 @property # line: 638 def contents(self): # line: 640 'Return the list of contained directory entries.' # line: 641 return self.byte_contents # line: 643 @property # line: 643 def ordered_dirs(self): # line: 645 'Return the list of contained directory entry names ordered by creation order.' # line: 646 return [item[0] for item in sorted(self.byte_contents.items(), key=(lambda entry: entry[1].st_ino))] # line: 649 def AddEntry(self, path_object): # line: 658 'Adds a child FakeFile to this directory.\n\n Args:\n path_object: FakeFile instance to add as a child of this directory.\n\n Raises:\n OSError: if the directory has no write permission (Posix only)\n OSError: if the file or directory to be added already exists\n ' # line: 659 if ((not (self.st_mode & PERM_WRITE)) and (not self.filesystem.is_windows_fs)): # line: 660 raise OSError(errno.EACCES, 'Permission Denied', self.GetPath()) # line: 662 if (path_object.name in self.contents): # line: 663 raise OSError(errno.EEXIST, 'Object already exists in fake filesystem', self.GetPath()) # line: 667 self.contents[path_object.name] = path_object # line: 668 path_object.parent_dir = self # line: 669 self.st_nlink += 1 # line: 670 path_object.st_nlink += 1 # line: 671 path_object.st_dev = self.st_dev # line: 672 if (path_object.st_nlink == 1): # line: 673 self.filesystem.ChangeDiskUsage(path_object.GetSize(), path_object.name, self.st_dev) # line: 675 def GetEntry(self, pathname_name): # line: 686 'Retrieves the specified child file or directory entry.\n\n Args:\n pathname_name: basename of the child object to retrieve.\n\n Returns:\n fake file or directory object.\n\n Raises:\n KeyError: if no child exists by the specified name.\n ' # line: 687 return self.contents[pathname_name] # line: 689 def RemoveEntry(self, pathname_name, recursive=True): # line: 701 'Removes the specified child file or directory.\n\n Args:\n pathname_name: basename of the child object to remove.\n recursive: if True (default), the entries in contained directories are deleted first.\n Needed to propagate removal errors (e.g. permission problems) from contained entries.\n New in pyfakefs 2.9.\n\n Raises:\n KeyError: if no child exists by the specified name.\n OSError: if user lacks permission to delete the file, or (Windows only) the file is open.\n ' # line: 702 entry = self.contents[pathname_name] # line: 703 if ((entry.st_mode & PERM_WRITE) == 0): # line: 704 raise OSError(errno.EACCES, 'Trying to remove object without write permission', pathname_name) # line: 706 if (self.filesystem.is_windows_fs and self.filesystem.HasOpenFile(entry)): # line: 707 raise OSError(errno.EACCES, 'Trying to remove an open file', pathname_name) # line: 708 if (recursive and isinstance(entry, FakeDirectory)): # line: 709 while entry.contents: # line: 710 entry.RemoveEntry(list(entry.contents)[0]) elif (entry.st_nlink == 1): # line: 712 self.filesystem.ChangeDiskUsage((- entry.GetSize()), pathname_name, entry.st_dev) # line: 714 self.st_nlink -= 1 # line: 715 entry.st_nlink -= 1 # line: 716 assert (entry.st_nlink >= 0) # line: 718 del self.contents[pathname_name] # line: 720 def GetSize(self): # line: 723 'Return the total size of all files contained in this directory tree.\n New in pyfakefs 2.9.\n ' # line: 724 return sum([item[1].GetSize() for item in self.contents.items()]) # line: 726 def HasParentObject(self, dir_object): # line: 728 'Return `True` if dir_object is a direct or indirect parent directory,\n or if both are the same object.' # line: 729 obj = self # line: 730 while obj: # line: 731 if (obj == dir_object): # line: 732 return True # line: 733 obj = obj.parent_dir # line: 734 return False # line: 736 def __str__(self): # line: 737 description = (super(FakeDirectory, self).__str__() + ':\n') # line: 738 for item in self.contents: # line: 739 item_desc = self.contents[item].__str__() # line: 740 for line in item_desc.split('\n'): # line: 741 if line: # line: 742 description = (((description + ' ') + line) + '\n') # line: 743 return description # line: 746 class FakeDirectoryFromRealDirectory(FakeDirectory): # line: 751 'Represents a fake directory copied from the real file system.\n \n The contents of the directory are read on demand only.\n New in pyfakefs 3.2.\n ' # line: 753 def __init__(self, dir_path, filesystem, read_only): # line: 765 'init.\n\n Args:\n dir_path: full directory path\n filesystem: the fake filesystem where the directory is created\n read_only: if set, all files under the directory are treated as read-only,\n e.g. a write access raises an exception;\n otherwise, writing to the files changes the fake files only as usually.\n \n Raises:\n OSError if the directory does not exist in the real file system\n ' # line: 766 real_stat = os.stat(dir_path) # line: 767 super(FakeDirectoryFromRealDirectory, self).__init__(name=os.path.split(dir_path)[1], perm_bits=real_stat.st_mode, filesystem=filesystem) # line: 772 self.st_ctime = real_stat.st_ctime # line: 773 self.st_atime = real_stat.st_atime # line: 774 self.st_mtime = real_stat.st_mtime # line: 775 self.st_gid = real_stat.st_gid # line: 776 self.st_uid = real_stat.st_uid # line: 777 self.dir_path = dir_path # line: 778 self.read_only = read_only # line: 779 self.contents_read = False # line: 781 @property # line: 781 def contents(self): # line: 783 'Return the list of contained directory entries, loading them if not already loaded.' # line: 784 if (not self.contents_read): # line: 785 self.contents_read = True # line: 786 self.filesystem.add_real_paths([os.path.join(self.dir_path, entry) for entry in os.listdir(self.dir_path)], read_only=self.read_only) # line: 789 return self.byte_contents # line: 791 def GetSize(self): # line: 793 if (not self.contents_read): # line: 794 return 0 # line: 795 return super(FakeDirectoryFromRealDirectory, self).GetSize() # line: 798 class FakeFilesystem(object): # line: 809 'Provides the appearance of a real directory tree for unit testing.\n\n Attributes:\n path_separator: The path separator, corresponds to `os.path.sep`.\n alternative_path_separator: Corresponds to `os.path.altsep`.\n is_windows_fs: `True` in a Windows file system, `False` otherwise.\n is_case_sensitive: `True` if a case-sensitive file system is assumed.\n root: The root `FakeDirectory` entry of the file system.\n cwd: The current working directory path.\n umask: The umask used for newly created files, see `os.umask`.\n ' # line: 811 def __init__(self, path_separator=os.path.sep, total_size=None): # line: 823 "init.\n\n Args:\n path_separator: optional substitute for os.path.sep\n total_size: if not None, the total size in bytes of the root filesystem.\n New in pyfakefs 2.9.\n\n Example usage to emulate real file systems:\n filesystem = FakeFilesystem(\n alt_path_separator='/' if _is_windows else None)\n\n " # line: 824 self.path_separator = path_separator # line: 825 self.alternative_path_separator = os.path.altsep # line: 826 if (path_separator != os.sep): # line: 827 self.alternative_path_separator = None # line: 832 self.is_windows_fs = (sys.platform == 'win32') # line: 836 self.is_case_sensitive = (sys.platform not in ['win32', 'cygwin', 'darwin']) # line: 838 self.root = FakeDirectory(self.path_separator, filesystem=self) # line: 839 self.cwd = self.root.name # line: 841 self.umask = os.umask(18) # line: 842 os.umask(self.umask) # line: 845 self.open_files = [] # line: 847 self._free_fd_heap = [] # line: 849 self._last_ino = 0 # line: 850 self._last_dev = 0 # line: 851 self.mount_points = {} # line: 852 self.AddMountPoint(self.root.name, total_size) # line: 854 @staticmethod # line: 854 def _matching_string(matched, string): # line: 858 'Return the string as byte or unicode depending \n on the type of matched, assuming string is an ASCII string.\n ' # line: 859 if (string is None): # line: 860 return string # line: 861 if (sys.version_info < (3,)): # line: 862 if isinstance(matched, unicode): # line: 863 return unicode(string) else: # line: 865 return string elif isinstance(matched, bytes): # line: 868 return bytes(string, 'ascii') else: # line: 870 return string # line: 872 def _path_separator(self, path): # line: 873 'Return the path separator as the same type as path' # line: 874 return self._matching_string(path, self.path_separator) # line: 876 def _alternative_path_separator(self, path): # line: 877 'Return the alternative path separator as the same type as path' # line: 878 return self._matching_string(path, self.alternative_path_separator) # line: 880 def _IsLinkSupported(self): # line: 882 return ((not self.is_windows_fs) or (sys.version_info >= (3, 2))) # line: 884 def AddMountPoint(self, path, total_size=None): # line: 900 'Add a new mount point for a filesystem device.\n The mount point gets a new unique device number.\n New in pyfakefs 2.9.\n\n Args:\n path: The root path for the new mount path.\n\n total_size: The new total size of the added filesystem device\n in bytes. Defaults to infinite size.\n\n Returns:\n The newly created mount point dict.\n\n Raises:\n OSError: if trying to mount an existing mount point again.\n ' # line: 901 path = self.NormalizePath(path) # line: 902 if (path in self.mount_points): # line: 903 raise OSError(errno.EEXIST, 'Mount point cannot be added twice', path) # line: 904 self._last_dev += 1 # line: 905 self.mount_points[path] = {'idev': self._last_dev, 'total_size': total_size, 'used_size': 0, } # line: 909 root_dir = (self.root if (path == self.root.name) else self.CreateDirectory(path)) # line: 910 root_dir.st_dev = self._last_dev # line: 911 return self.mount_points[path] # line: 913 def _AutoMountDriveIfNeeded(self, path, force=False): # line: 914 if (self.is_windows_fs and (force and (not self._MountPointForPath(path)))): # line: 915 drive = self.SplitDrive(path)[0] # line: 916 if drive: # line: 917 return self.AddMountPoint(path=drive) # line: 919 def _MountPointForPath(self, path): # line: 920 def to_str(string): # line: 921 'Convert the str, unicode or byte object to a str using the default encoding.' # line: 922 if ((string is None) or isinstance(string, str)): # line: 923 return string # line: 924 if (sys.version_info < (3, 0)): # line: 925 return string.encode(locale.getpreferredencoding(False)) else: # line: 927 return string.decode(locale.getpreferredencoding(False)) # line: 929 path = self.NormalizePath(self.NormalizeCase(path)) # line: 930 if (path in self.mount_points): # line: 931 return self.mount_points[path] # line: 932 mount_path = self._matching_string(path, '') # line: 933 drive = self.SplitDrive(path)[:1] # line: 934 for root_path in self.mount_points: # line: 935 root_path = self._matching_string(path, root_path) # line: 936 if (drive and (not root_path.startswith(drive))): # line: 937 continue # line: 938 if (path.startswith(root_path) and (len(root_path) > len(mount_path))): # line: 939 mount_path = root_path # line: 940 if mount_path: # line: 941 return self.mount_points[to_str(mount_path)] # line: 942 mount_point = self._AutoMountDriveIfNeeded(path, force=True) # line: 943 assert mount_point # line: 944 return mount_point # line: 946 def _MountPointForDevice(self, idev): # line: 947 for mount_point in self.mount_points.values(): # line: 948 if (mount_point['idev'] == idev): # line: 949 return mount_point # line: 951 def GetDiskUsage(self, path=None): # line: 961 "Return the total, used and free disk space in bytes as named tuple,\n or placeholder values simulating unlimited space if not set.\n Note: This matches the return value of shutil.disk_usage().\n New in pyfakefs 2.9.\n\n Args:\n path: The disk space is returned for the file system device where\n path resides.\n Defaults to the root path (e.g. '/' on Unix systems).\n " # line: 962 DiskUsage = namedtuple('usage', 'total, used, free') # line: 963 if (path is None): # line: 964 mount_point = self.mount_points[self.root.name] else: # line: 966 mount_point = self._MountPointForPath(path) # line: 967 if (mount_point and (mount_point['total_size'] is not None)): # line: 968 return DiskUsage(mount_point['total_size'], mount_point['used_size'], (mount_point['total_size'] - mount_point['used_size'])) # line: 970 return DiskUsage((((1024 * 1024) * 1024) * 1024), 0, (((1024 * 1024) * 1024) * 1024)) # line: 972 def SetDiskUsage(self, total_size, path=None): # line: 986 "Changes the total size of the file system, preserving the used space.\n Example usage: set the size of an auto-mounted Windows drive.\n New in pyfakefs 2.9.\n\n Args:\n total_size: The new total size of the filesystem in bytes.\n\n path: The disk space is changed for the file system device where\n path resides.\n Defaults to the root path (e.g. '/' on Unix systems).\n\n Raises:\n IOError: if the new space is smaller than the used size.\n " # line: 987 if (path is None): # line: 988 path = self.root.name # line: 989 mount_point = self._MountPointForPath(path) # line: 990 if ((mount_point['total_size'] is not None) and (mount_point['used_size'] > total_size)): # line: 991 raise IOError(errno.ENOSPC, ('Fake file system: cannot change size to %r bytes - used space is larger' % total_size), path) # line: 994 mount_point['total_size'] = total_size # line: 996 def ChangeDiskUsage(self, usage_change, file_path, st_dev): # line: 1010 'Change the used disk space by the given amount.\n New in pyfakefs 2.9.\n\n Args:\n usage_change: Number of bytes added to the used space.\n If negative, the used space will be decreased.\n\n file_path: The path of the object needing the disk space.\n\n st_dev: The device ID for the respective file system.\n\n Raises:\n IOError: if usage_change exceeds the free file system space\n ' # line: 1011 mount_point = self._MountPointForDevice(st_dev) # line: 1012 if mount_point: # line: 1013 if (mount_point['total_size'] is not None): # line: 1014 if ((mount_point['total_size'] - mount_point['used_size']) < usage_change): # line: 1015 raise IOError(errno.ENOSPC, ('Fake file system: disk is full, failed to add %r bytes' % usage_change), file_path) # line: 1018 mount_point['used_size'] += usage_change # line: 1020 def GetStat(self, entry_path, follow_symlinks=True): # line: 1034 "Return the os.stat-like tuple for the FakeFile object of entry_path.\n New in pyfakefs 3.0.\n\n Args:\n entry_path: path to filesystem object to retrieve.\n follow_symlinks: if False and entry_path points to a symlink, the link itself is inspected\n instead of the linked object.\n\n Returns:\n the FakeStatResult object corresponding to entry_path.\n\n Raises:\n OSError: if the filesystem object doesn't exist.\n " # line: 1036 try: # line: 1037 file_object = self.ResolveObject(entry_path, follow_symlinks, allow_fd=True) # line: 1038 return file_object.stat_result.copy() # line: 1039 except IOError as io_error: # line: 1040 raise OSError(io_error.errno, io_error.strerror, entry_path) # line: 1042 def ChangeMode(self, path, mode, follow_symlinks=True): # line: 1051 'Change the permissions of a file as encoded in integer mode.\n New in pyfakefs 3.0.\n\n Args:\n path: (str) Path to the file.\n mode: (int) Permissions.\n follow_symlinks: if False and entry_path points to a symlink, the link itself is affected\n instead of the linked object.\n ' # line: 1052 try: # line: 1053 file_object = self.ResolveObject(path, follow_symlinks, allow_fd=True) # line: 1054 except IOError as io_error: # line: 1055 if (io_error.errno == errno.ENOENT): # line: 1056 raise OSError(errno.ENOENT, 'No such file or directory in fake filesystem', path) # line: 1059 raise # line: 1060 file_object.st_mode = ((file_object.st_mode & (~ PERM_ALL)) | (mode & PERM_ALL)) # line: 1062 file_object.st_ctime = time.time() # line: 1064 def UpdateTime(self, path, times=None, ns=None, follow_symlinks=True): # line: 1086 'Change the access and modified times of a file.\n New in pyfakefs 3.0.\n\n Args:\n path: (str) Path to the file.\n times: 2-tuple of int or float numbers, of the form (atime, mtime) \n which is used to set the access and modified times in seconds. \n If None, both times are set to the current time.\n ns: 2-tuple of int numbers, of the form (atime, mtime) which is \n used to set the access and modified times in nanoseconds. \n If None, both times are set to the current time.\n New in Python 3.3. New in pyfakefs 3.3.\n follow_symlinks: If `False` and entry_path points to a symlink, \n the link itself is queried instead of the linked object. \n New in Python 3.3. New in pyfakefs 3.0.\n \n Raises:\n TypeError: If anything other than the expected types is \n specified in the passed `times` or `ns` tuple, \n or if the tuple length is not equal to 2.\n ValueError: If both times and ns are specified.\n ' # line: 1087 if ((times is not None) and (ns is not None)): # line: 1088 raise ValueError("utime: you may specify either 'times' or 'ns' but not both") # line: 1089 if ((times is not None) and (len(times) != 2)): # line: 1090 raise TypeError("utime: 'times' must be either a tuple of two ints or None") # line: 1091 if ((ns is not None) and (len(ns) != 2)): # line: 1092 raise TypeError("utime: 'ns' must be a tuple of two ints") # line: 1094 try: # line: 1095 file_object = self.ResolveObject(path, follow_symlinks, allow_fd=True) # line: 1096 except IOError as io_error: # line: 1097 if (io_error.errno == errno.ENOENT): # line: 1098 raise OSError(errno.ENOENT, 'No such file or directory in fake filesystem', path) # line: 1101 raise # line: 1102 if (times is not None): # line: 1103 for file_time in times: # line: 1104 if (not isinstance(file_time, (int, float))): # line: 1105 raise TypeError('atime and mtime must be numbers') # line: 1107 file_object.st_atime = times[0] # line: 1108 file_object.st_mtime = times[1] elif (ns is not None): # line: 1110 for file_time in ns: # line: 1111 if (not isinstance(file_time, int)): # line: 1112 raise TypeError('atime and mtime must be ints') # line: 1114 file_object.st_atime_ns = ns[0] # line: 1115 file_object.st_mtime_ns = ns[1] else: # line: 1117 current_time = time.time() # line: 1118 file_object.st_atime = current_time # line: 1119 file_object.st_mtime = current_time # line: 1121 def SetIno(self, path, st_ino): # line: 1129 "Set the self.st_ino attribute of file at 'path'.\n Note that a unique inode is assigned automatically to a new fake file.\n Using this function does not guarantee uniqueness and should used with caution.\n\n Args:\n path: Path to file.\n st_ino: The desired inode.\n " # line: 1130 self.GetObject(path).SetIno(st_ino) # line: 1132 def AddOpenFile(self, file_obj): # line: 1142 'Add file_obj to the list of open files on the filesystem.\n\n The position in the self.open_files array is the file descriptor number.\n\n Args:\n file_obj: file object to be added to open files list.\n\n Returns:\n File descriptor number for the file object.\n ' # line: 1143 if self._free_fd_heap: # line: 1144 open_fd = heapq.heappop(self._free_fd_heap) # line: 1145 self.open_files[open_fd] = file_obj # line: 1146 return open_fd # line: 1148 self.open_files.append(file_obj) # line: 1149 return (len(self.open_files) - 1) # line: 1151 def CloseOpenFile(self, file_des): # line: 1158 'Remove file object with given descriptor from the list of open files.\n\n Sets the entry in open_files to None.\n\n Args:\n file_des: descriptor of file object to be removed from open files list.\n ' # line: 1159 self.open_files[file_des] = None # line: 1160 heapq.heappush(self._free_fd_heap, file_des) # line: 1162 def GetOpenFile(self, file_des): # line: 1174 'Return an open file.\n\n Args:\n file_des: file descriptor of the open file.\n\n Raises:\n OSError: an invalid file descriptor.\n TypeError: filedes is not an integer.\n\n Returns:\n Open file object.\n ' # line: 1175 if (not isinstance(file_des, int)): # line: 1176 raise TypeError('an integer is required') # line: 1177 if ((file_des >= len(self.open_files)) or (self.open_files[file_des] is None)): # line: 1179 raise OSError(errno.EBADF, 'Bad file descriptor', file_des) # line: 1180 return self.open_files[file_des] # line: 1182 def HasOpenFile(self, file_object): # line: 1191 'Return True if the given file object is in the list of open files.\n New in pyfakefs 2.9.\n\n Args:\n file_object: The FakeFile object to be checked.\n\n Returns:\n True if the file is open.\n ' # line: 1192 return (file_object in [wrapper.GetObject() for wrapper in self.open_files if wrapper]) # line: 1194 def NormalizePathSeparator(self, path): # line: 1204 'Replace all appearances of alternative path separator with path separator.\n Do nothing if no alternative separator is set.\n New in pyfakefs 2.9.\n\n Args:\n path: the path to be normalized.\n\n Returns:\n The normalized path that will be used internally.\n ' # line: 1205 if (sys.version_info >= (3, 6)): # line: 1206 path = os.fspath(path) # line: 1207 if ((self.alternative_path_separator is None) or (not path)): # line: 1208 return path # line: 1209 return path.replace(self._alternative_path_separator(path), self._path_separator(path)) # line: 1211 def CollapsePath(self, path): # line: 1230 "Mimic os.path.normpath using the specified path_separator.\n\n Mimics os.path.normpath using the path_separator that was specified\n for this FakeFilesystem. Normalizes the path, but unlike the method\n NormalizePath, does not make it absolute. Eliminates dot components\n (. and ..) and combines repeated path separators (//). Initial ..\n components are left in place for relative paths. If the result is an empty\n path, '.' is returned instead.\n\n This also replaces alternative path separator with path separator. That is,\n it behaves like the real os.path.normpath on Windows if initialized with\n '\\' as path separator and '/' as alternative separator.\n\n Args:\n path: (str) The path to normalize.\n\n Returns:\n (str) A copy of path with empty components and dot components removed.\n " # line: 1231 path = self.NormalizePathSeparator(path) # line: 1232 (drive, path) = self.SplitDrive(path) # line: 1233 sep = self._path_separator(path) # line: 1234 is_absolute_path = path.startswith(sep) # line: 1235 path_components = path.split(sep) # line: 1236 collapsed_path_components = [] # line: 1237 dot = self._matching_string(path, '.') # line: 1238 dotdot = self._matching_string(path, '..') # line: 1239 for component in path_components: # line: 1240 if ((not component) or (component == dot)): # line: 1241 continue # line: 1242 if (component == dotdot): # line: 1243 if (collapsed_path_components and (collapsed_path_components[(-1)] != dotdot)): # line: 1246 collapsed_path_components.pop() # line: 1247 continue elif is_absolute_path: # line: 1250 continue # line: 1251 collapsed_path_components.append(component) # line: 1252 collapsed_path = sep.join(collapsed_path_components) # line: 1253 if is_absolute_path: # line: 1254 collapsed_path = (sep + collapsed_path) # line: 1255 return ((drive + collapsed_path) or dot) # line: 1257 def NormalizeCase(self, path): # line: 1267 'Return a normalized case version of the given path for case-insensitive\n file systems. For case-sensitive file systems, return path unchanged.\n New in pyfakefs 2.9.\n\n Args:\n path: the file path to be transformed\n\n Returns:\n A version of path matching the case of existing path elements.\n ' # line: 1268 def components_to_path(): # line: 1269 if (len(path_components) > len(normalized_components)): # line: 1270 normalized_components.extend(path_components[len(normalized_components):]) # line: 1271 sep = self._path_separator(path) # line: 1272 normalized_path = sep.join(normalized_components) # line: 1273 if (path.startswith(sep) and (not normalized_path.startswith(sep))): # line: 1274 normalized_path = (sep + normalized_path) # line: 1275 return normalized_path # line: 1277 if (self.is_case_sensitive or (not path)): # line: 1278 return path # line: 1279 path_components = self.GetPathComponents(path) # line: 1280 normalized_components = [] # line: 1281 current_dir = self.root # line: 1282 for component in path_components: # line: 1283 if (not isinstance(current_dir, FakeDirectory)): # line: 1284 return components_to_path() # line: 1285 (dir_name, current_dir) = self._DirectoryContent(current_dir, component) # line: 1286 if ((current_dir is None) or (isinstance(current_dir, FakeDirectory) and (current_dir._byte_contents is None) and (current_dir.st_size == 0))): # line: 1290 return components_to_path() # line: 1291 normalized_components.append(dir_name) # line: 1292 return components_to_path() # line: 1294 def NormalizePath(self, path): # line: 1306 'Absolutize and minimalize the given path.\n\n Forces all relative paths to be absolute, and normalizes the path to\n eliminate dot and empty components.\n\n Args:\n path: path to normalize\n\n Returns:\n The normalized path relative to the current working directory, or the root\n directory if path is empty.\n ' # line: 1307 path = self.NormalizePathSeparator(path) # line: 1308 if (not path): # line: 1309 path = self.path_separator elif (not self._StartsWithRootPath(path)): # line: 1312 root_name = self._matching_string(path, self.root.name) # line: 1313 empty = self._matching_string(path, '') # line: 1314 path = self._path_separator(path).join(((((self.cwd != root_name) and self.cwd) or empty), path)) # line: 1316 if (path == self._matching_string(path, '.')): # line: 1317 path = self.cwd # line: 1318 return self.CollapsePath(path) # line: 1320 def SplitPath(self, path): # line: 1332 'Mimic os.path.split using the specified path_separator.\n\n Mimics os.path.split using the path_separator that was specified\n for this FakeFilesystem.\n\n Args:\n path: (str) The path to split.\n\n Returns:\n (str) A duple (pathname, basename) for which pathname does not\n end with a slash, and basename does not contain a slash.\n ' # line: 1333 (drive, path) = self.SplitDrive(path) # line: 1334 path = self.NormalizePathSeparator(path) # line: 1335 sep = self._path_separator(path) # line: 1336 path_components = path.split(sep) # line: 1337 if (not path_components): # line: 1338 return ('', '') # line: 1339 basename = path_components.pop() # line: 1340 if (not path_components): # line: 1341 return ('', basename) # line: 1342 for component in path_components: # line: 1343 if component: # line: 1346 while (not path_components[(-1)]): # line: 1347 path_components.pop() # line: 1348 return ((drive + sep.join(path_components)), basename) # line: 1350 return ((drive or sep), basename) # line: 1352 def SplitDrive(self, path): # line: 1363 'Splits the path into the drive part and the rest of the path.\n New in pyfakefs 2.9.\n\n Taken from Windows specific implementation in Python 3.5 and slightly adapted.\n\n Args:\n path: the full path to be split.\n\n Returns: a tuple of the drive part and the rest of the path, or of an empty string\n and the full path if drive letters are not supported or no drive is present.\n ' # line: 1364 if (sys.version_info >= (3, 6)): # line: 1365 path = os.fspath(path) # line: 1366 if self.is_windows_fs: # line: 1367 if (len(path) >= 2): # line: 1368 path = self.NormalizePathSeparator(path) # line: 1369 sep = self._path_separator(path) # line: 1371 if (sys.version_info >= (2, 7, 8)): # line: 1372 if ((path[0:2] == (sep * 2)) and (path[2:3] != sep)): # line: 1375 sep_index = path.find(sep, 2) # line: 1376 if (sep_index == (-1)): # line: 1377 return (path[:0], path) # line: 1378 sep_index2 = path.find(sep, (sep_index + 1)) # line: 1379 if (sep_index2 == (sep_index + 1)): # line: 1380 return (path[:0], path) # line: 1381 if (sep_index2 == (-1)): # line: 1382 sep_index2 = len(path) # line: 1383 return (path[:sep_index2], path[sep_index2:]) # line: 1384 if (path[1:2] == self._matching_string(path, ':')): # line: 1385 return (path[:2], path[2:]) # line: 1386 return (path[:0], path) # line: 1388 def _JoinPathsWithDriveSupport(self, *all_paths): # line: 1389 'Taken from Python 3.5 os.path.join() code in ntpath.py and slightly adapted' # line: 1390 base_path = all_paths[0] # line: 1391 paths_to_add = all_paths[1:] # line: 1392 sep = self._path_separator(base_path) # line: 1393 seps = [sep, self._alternative_path_separator(base_path)] # line: 1394 (result_drive, result_path) = self.SplitDrive(base_path) # line: 1395 for path in paths_to_add: # line: 1396 (drive_part, path_part) = self.SplitDrive(path) # line: 1397 if (path_part and (path_part[:1] in seps)): # line: 1399 if (drive_part or (not result_drive)): # line: 1400 result_drive = drive_part # line: 1401 result_path = path_part # line: 1402 continue elif (drive_part and (drive_part != result_drive)): # line: 1404 if (self.is_case_sensitive or (drive_part.lower() != result_drive.lower())): # line: 1406 result_drive = drive_part # line: 1407 result_path = path_part # line: 1408 continue # line: 1410 result_drive = drive_part # line: 1412 if (result_path and (result_path[(-1):] not in seps)): # line: 1413 result_path = (result_path + sep) # line: 1414 result_path = (result_path + path_part) # line: 1416 colon = self._matching_string(base_path, ':') # line: 1417 if (result_path and (result_path[:1] not in seps) and result_drive and (result_drive[(-1):] != colon)): # line: 1419 return ((result_drive + sep) + result_path) # line: 1420 return (result_drive + result_path) # line: 1422 def JoinPaths(self, *paths): # line: 1431 'Mimic os.path.join using the specified path_separator.\n\n Args:\n *paths: (str) Zero or more paths to join.\n\n Returns:\n (str) The paths joined by the path separator, starting with the last\n absolute path in paths.\n ' # line: 1432 if (sys.version_info >= (3, 6)): # line: 1433 paths = [os.fspath(path) for path in paths] # line: 1434 if (len(paths) == 1): # line: 1435 return paths[0] # line: 1436 if self.is_windows_fs: # line: 1437 return self._JoinPathsWithDriveSupport(*paths) # line: 1438 joined_path_segments = [] # line: 1439 sep = self._path_separator(paths[0]) # line: 1440 for path_segment in paths: # line: 1441 if self._StartsWithRootPath(path_segment): # line: 1443 joined_path_segments = [path_segment] else: # line: 1445 if (joined_path_segments and (not joined_path_segments[(-1)].endswith(sep))): # line: 1447 joined_path_segments.append(sep) # line: 1448 if path_segment: # line: 1449 joined_path_segments.append(path_segment) # line: 1450 return self._matching_string(paths[0], '').join(joined_path_segments) # line: 1452 def GetPathComponents(self, path): # line: 1473 'Breaks the path into a list of component names.\n\n Does not include the root directory as a component, as all paths\n are considered relative to the root directory for the FakeFilesystem.\n Callers should basically follow this pattern:\n\n >>> file_path = self.NormalizePath(file_path)\n >>> path_components = self.GetPathComponents(file_path)\n >>> current_dir = self.root\n >>> for component in path_components:\n >>> if component not in current_dir.contents:\n >>> raise IOError\n >>> DoStuffWithComponent(current_dir, component)\n >>> current_dir = current_dir.GetEntry(component)\n\n Args:\n path: path to tokenize\n\n Returns:\n The list of names split from path\n ' # line: 1474 if ((not path) or (path == self._path_separator(path))): # line: 1475 return [] # line: 1476 (drive, path) = self.SplitDrive(path) # line: 1477 path_components = path.split(self._path_separator(path)) # line: 1478 assert (drive or path_components) # line: 1479 if (not path_components[0]): # line: 1481 path_components = path_components[1:] # line: 1482 if drive: # line: 1483 path_components.insert(0, drive) # line: 1484 return path_components # line: 1486 def StartsWithDriveLetter(self, file_path): # line: 1496 'Return True if file_path starts with a drive letter.\n New in pyfakefs 2.9.\n\n Args:\n file_path: the full path to be examined.\n\n Returns:\n True if drive letter support is enabled in the filesystem and\n the path starts with a drive letter.\n ' # line: 1497 colon = self._matching_string(file_path, ':') # line: 1498 return (self.is_windows_fs and (len(file_path) >= 2) and file_path[:1].isalpha and (file_path[1:2] == colon)) # line: 1501 def _StartsWithRootPath(self, file_path): # line: 1502 root_name = self._matching_string(file_path, self.root.name) # line: 1503 return (file_path.startswith(root_name) or ((not self.is_case_sensitive) and file_path.lower().startswith(root_name.lower())) or self.StartsWithDriveLetter(file_path)) # line: 1508 def _IsRootPath(self, file_path): # line: 1509 root_name = self._matching_string(file_path, self.root.name) # line: 1510 return ((file_path == root_name) or ((not self.is_case_sensitive) and (file_path.lower() == root_name.lower())) or ((len(file_path) == 2) and self.StartsWithDriveLetter(file_path))) # line: 1514 def _EndsWithPathSeparator(self, file_path): # line: 1515 return (file_path and (file_path.endswith(self._path_separator(file_path)) or ((self.alternative_path_separator is not None) and file_path.endswith(self._alternative_path_separator(file_path))))) # line: 1519 def _DirectoryContent(self, directory, component): # line: 1520 if (not isinstance(directory, FakeDirectory)): # line: 1521 return (None, None) # line: 1522 if (component in directory.contents): # line: 1523 return (component, directory.contents[component]) # line: 1524 if (not self.is_case_sensitive): # line: 1525 matching_content = [(subdir, directory.contents[subdir]) for subdir in directory.contents if (subdir.lower() == component.lower())] # line: 1528 if matching_content: # line: 1529 return matching_content[0] # line: 1531 return (None, None) # line: 1533 def Exists(self, file_path): # line: 1544 'Return true if a path points to an existing file system object.\n\n Args:\n file_path: path to examine.\n\n Returns:\n (bool) True if the corresponding object exists.\n\n Raises:\n TypeError: if file_path is None.\n ' # line: 1545 if (sys.version_info >= (3, 6)): # line: 1546 file_path = os.fspath(file_path) # line: 1547 if (file_path is None): # line: 1548 raise TypeError # line: 1549 if (not file_path): # line: 1550 return False # line: 1551 try: # line: 1552 file_path = self.ResolvePath(file_path) # line: 1553 except (IOError, OSError): # line: 1554 return False # line: 1555 if (file_path == self.root.name): # line: 1556 return True # line: 1557 path_components = self.GetPathComponents(file_path) # line: 1558 current_dir = self.root # line: 1559 for component in path_components: # line: 1560 current_dir = self._DirectoryContent(current_dir, component)[1] # line: 1561 if (not current_dir): # line: 1562 return False # line: 1563 return True # line: 1565 def ResolvePath(self, file_path, allow_fd=False, raw_io=True): # line: 1601 "Follow a path, resolving symlinks.\n\n ResolvePath traverses the filesystem along the specified file path,\n resolving file names and symbolic links until all elements of the path are\n exhausted, or we reach a file which does not exist. If all the elements\n are not consumed, they just get appended to the path resolved so far.\n This gives us the path which is as resolved as it can be, even if the file\n does not exist.\n\n This behavior mimics Unix semantics, and is best shown by example. Given a\n file system that looks like this:\n\n /a/b/\n /a/b/c -> /a/b2 c is a symlink to /a/b2\n /a/b2/x\n /a/c -> ../d\n /a/x -> y\n\n Then:\n /a/b/x => /a/b/x\n /a/c => /a/d\n /a/x => /a/y\n /a/b/c/d/e => /a/b2/d/e\n\n Args:\n file_path: path to examine.\n allow_fd: If `True`, `file_path` may be open file descriptor\n raw_io: `True` if called from low-level I/O functions\n\n Returns:\n resolved_path (string) or None.\n\n Raises:\n TypeError: if file_path is None.\n IOError: if file_path is '' or a part of the path doesn't exist.\n " # line: 1603 def _ComponentsToPath(component_folders): # line: 1604 sep = (self._path_separator(component_folders[0]) if component_folders else self.path_separator) # line: 1606 path = sep.join(component_folders) # line: 1607 if (not self._StartsWithRootPath(path)): # line: 1608 path = (sep + path) # line: 1609 return path # line: 1611 def _ValidRelativePath(file_path): # line: 1612 slash_dotdot = self._matching_string(file_path, '/..') # line: 1613 while (file_path and (slash_dotdot in file_path)): # line: 1614 file_path = file_path[:file_path.rfind(slash_dotdot)] # line: 1615 if (not self.Exists(self.NormalizePath(file_path))): # line: 1616 return False # line: 1617 return True # line: 1619 def _FollowLink(link_path_components, link): # line: 1639 'Follow a link w.r.t. a path resolved so far.\n\n The component is either a real file, which is a no-op, or a symlink.\n In the case of a symlink, we have to modify the path as built up so far\n /a/b => ../c should yield /a/../c (which will normalize to /a/c)\n /a/b => x should yield /a/x\n /a/b => /x/y/z should yield /x/y/z\n The modified path may land us in a new spot which is itself a\n link, so we may repeat the process.\n\n Args:\n link_path_components: The resolved path built up to the link so far.\n link: The link object itself.\n\n Returns:\n (string) the updated path resolved after following the link.\n\n Raises:\n IOError: if there are too many levels of symbolic link\n ' # line: 1640 link_path = link.contents # line: 1641 sep = self._path_separator(link_path) # line: 1642 alt_sep = self._alternative_path_separator(link_path) # line: 1646 if ((not link_path.startswith(sep)) and ((alt_sep is None) or (not link_path.startswith(alt_sep)))): # line: 1652 components = link_path_components[:(-1)] # line: 1653 components.append(link_path) # line: 1654 link_path = sep.join(components) # line: 1656 return self.CollapsePath(link_path) # line: 1658 if (allow_fd and (sys.version_info >= (3, 3)) and isinstance(file_path, int)): # line: 1659 return self.GetOpenFile(file_path).GetObject().GetPath() # line: 1661 if (sys.version_info >= (3, 6)): # line: 1662 file_path = os.fspath(file_path) # line: 1663 if (file_path is None): # line: 1665 raise TypeError('Expected file system path string, received None') # line: 1666 if ((not file_path) or (not _ValidRelativePath(file_path))): # line: 1669 raise IOError(errno.ENOENT, ("No such file or directory: '%s'" % file_path)) # line: 1671 file_path = self.NormalizePath(self.NormalizeCase(file_path)) # line: 1672 if self._IsRootPath(file_path): # line: 1673 return file_path # line: 1675 current_dir = self.root # line: 1676 path_components = self.GetPathComponents(file_path) # line: 1678 resolved_components = [] # line: 1679 link_depth = 0 # line: 1680 while path_components: # line: 1681 component = path_components.pop(0) # line: 1682 resolved_components.append(component) # line: 1683 current_dir = self._DirectoryContent(current_dir, component)[1] # line: 1684 if (current_dir is None): # line: 1690 resolved_components.extend(path_components) # line: 1691 break # line: 1694 if stat.S_ISLNK(current_dir.st_mode): # line: 1698 if (link_depth > _MAX_LINK_DEPTH): # line: 1699 error_class = (OSError if raw_io else IOError) # line: 1700 raise error_class(errno.ELOOP, ("Too many levels of symbolic links: '%s'" % _ComponentsToPath(resolved_components))) # line: 1704 link_path = _FollowLink(resolved_components, current_dir) # line: 1708 target_components = self.GetPathComponents(link_path) # line: 1709 path_components = (target_components + path_components) # line: 1710 resolved_components = [] # line: 1711 current_dir = self.root # line: 1712 link_depth += 1 # line: 1713 return _ComponentsToPath(resolved_components) # line: 1715 def GetObjectFromNormalizedPath(self, file_path): # line: 1727 'Search for the specified filesystem object within the fake filesystem.\n\n Args:\n file_path: specifies target FakeFile object to retrieve, with a\n path that has already been normalized/resolved.\n\n Returns:\n the FakeFile object corresponding to file_path.\n\n Raises:\n IOError: if the object is not found.\n ' # line: 1728 if (sys.version_info >= (3, 6)): # line: 1729 file_path = os.fspath(file_path) # line: 1730 if (file_path == self.root.name): # line: 1731 return self.root # line: 1732 path_components = self.GetPathComponents(file_path) # line: 1733 target_object = self.root # line: 1734 try: # line: 1735 for component in path_components: # line: 1736 if stat.S_ISLNK(target_object.st_mode): # line: 1737 target_object = self.ResolveObject(target_object.contents) # line: 1738 if (not stat.S_ISDIR(target_object.st_mode)): # line: 1739 if (not self.is_windows_fs): # line: 1740 raise IOError(errno.ENOTDIR, 'Not a directory in fake filesystem', file_path) # line: 1743 raise IOError(errno.ENOENT, 'No such file or directory in fake filesystem', file_path) # line: 1746 target_object = target_object.GetEntry(component) # line: 1747 except KeyError: # line: 1748 raise IOError(errno.ENOENT, 'No such file or directory in fake filesystem', file_path) # line: 1751 return target_object # line: 1753 def GetObject(self, file_path): # line: 1764 'Search for the specified filesystem object within the fake filesystem.\n\n Args:\n file_path: specifies target FakeFile object to retrieve.\n\n Returns:\n the FakeFile object corresponding to file_path.\n\n Raises:\n IOError: if the object is not found.\n ' # line: 1765 if (sys.version_info >= (3, 6)): # line: 1766 file_path = os.fspath(file_path) # line: 1767 file_path = self.NormalizePath(self.NormalizeCase(file_path)) # line: 1768 return self.GetObjectFromNormalizedPath(file_path) # line: 1770 def ResolveObject(self, file_path, follow_symlinks=True, allow_fd=False): # line: 1784 'Search for the specified filesystem object, resolving all links.\n\n Args:\n file_path: Specifies target FakeFile object to retrieve.\n follow_symlinks: If `False`, the link itself is resolved,\n otherwise the object linked to.\n allow_fd: If `True`, `file_path` may be open file descriptor\n\n Returns:\n the FakeFile object corresponding to file_path.\n\n Raises:\n IOError: if the object is not found.\n ' # line: 1785 if (allow_fd and (sys.version_info >= (3, 3)) and isinstance(file_path, int)): # line: 1786 return self.GetOpenFile(file_path).GetObject() # line: 1788 if follow_symlinks: # line: 1789 if (sys.version_info >= (3, 6)): # line: 1790 file_path = os.fspath(file_path) # line: 1791 return self.GetObjectFromNormalizedPath(self.ResolvePath(file_path)) # line: 1792 return self.LResolveObject(file_path) # line: 1794 def LResolveObject(self, path): # line: 1808 'Search for the specified object, resolving only parent links.\n\n This is analogous to the stat/lstat difference. This resolves links *to*\n the object but not of the final object itself.\n\n Args:\n path: specifies target FakeFile object to retrieve.\n\n Returns:\n the FakeFile object corresponding to path.\n\n Raises:\n IOError: if the object is not found.\n ' # line: 1809 if (sys.version_info >= (3, 6)): # line: 1810 path = os.fspath(path) # line: 1811 if (path == self.root.name): # line: 1813 return self.root # line: 1816 sep = self._path_separator(path) # line: 1817 alt_sep = self._alternative_path_separator(path) # line: 1818 if (path.endswith(sep) or (alt_sep and path.endswith(alt_sep))): # line: 1819 path = path[:(-1)] # line: 1821 (parent_directory, child_name) = self.SplitPath(path) # line: 1822 if (not parent_directory): # line: 1823 parent_directory = self.cwd # line: 1824 try: # line: 1825 parent_obj = self.ResolveObject(parent_directory) # line: 1826 assert parent_obj # line: 1827 if (not isinstance(parent_obj, FakeDirectory)): # line: 1828 if ((not self.is_windows_fs) and isinstance(parent_obj, FakeFile)): # line: 1829 raise IOError(errno.ENOTDIR, 'The parent object is not a directory', path) # line: 1831 raise IOError(errno.ENOENT, 'No such file or directory in fake filesystem', path) # line: 1834 return parent_obj.GetEntry(child_name) # line: 1835 except KeyError: # line: 1836 raise IOError(errno.ENOENT, 'No such file or directory in the fake filesystem', path) # line: 1840 def AddObject(self, file_path, file_object, error_class=OSError): # line: 1851 'Add a fake file or directory into the filesystem at file_path.\n\n Args:\n file_path: the path to the file to be added relative to self.\n file_object: file or directory to add.\n error_class: the error class to be thrown if file_path does\n not correspond to a directory (used internally(\n\n Raises:\n IOError or OSError: if file_path does not correspond to a directory.\n ' # line: 1852 if (not file_path): # line: 1853 target_directory = self.root else: # line: 1855 target_directory = self.ResolveObject(file_path) # line: 1856 if (not stat.S_ISDIR(target_directory.st_mode)): # line: 1857 raise error_class(errno.ENOTDIR, 'Not a directory in the fake filesystem', file_path) # line: 1860 target_directory.AddEntry(file_object) # line: 1862 def RenameObject(self, old_file_path, new_file_path, force_replace=False): # line: 1883 'Renames a FakeFile object at old_file_path to new_file_path, preserving all properties.\n\n Args:\n old_file_path: Path to filesystem object to rename.\n new_file_path: Path to where the filesystem object will live after this call.\n force_replace: If set and destination is an existing file, it will be replaced\n even under Windows if the user has permissions, otherwise replacement\n happens under Unix only.\n\n Raises:\n OSError: if old_file_path does not exist.\n OSError: if new_file_path is an existing directory\n (Windows, or Posix if old_file_path points to a regular file)\n OSError: if old_file_path is a directory and new_file_path a file\n OSError: if new_file_path is an existing file and force_replace not set\n (Windows only).\n OSError: if new_file_path is an existing file and could not be removed\n (Posix, or Windows with force_replace set).\n OSError: if dirname(new_file_path) does not exist.\n OSError: if the file would be moved to another filesystem (e.g. mount point).\n ' # line: 1884 old_file_path = self.NormalizePath(old_file_path) # line: 1885 new_file_path = self.NormalizePath(new_file_path) # line: 1886 if ((not self.Exists(old_file_path)) and (not self.IsLink(old_file_path))): # line: 1887 raise OSError(errno.ENOENT, 'Fake filesystem object: can not rename nonexistent file', old_file_path) # line: 1891 old_object = self.LResolveObject(old_file_path) # line: 1892 if (not self.is_windows_fs): # line: 1893 if (self.IsDir(old_file_path, follow_symlinks=False) and self.IsLink(new_file_path)): # line: 1895 raise OSError(errno.ENOTDIR, 'Cannot rename directory to symlink', new_file_path) # line: 1898 if (self.IsDir(new_file_path, follow_symlinks=False) and self.IsLink(old_file_path)): # line: 1900 raise OSError(errno.EISDIR, 'Cannot rename symlink to directory', new_file_path) # line: 1904 if (self.Exists(new_file_path) or self.IsLink(new_file_path)): # line: 1905 if (old_file_path == new_file_path): # line: 1906 return # line: 1908 new_object = self.GetObject(new_file_path) # line: 1909 if (old_object == new_object): # line: 1910 if (old_file_path.lower() == new_file_path.lower()): # line: 1912 pass else: # line: 1915 return elif (stat.S_ISDIR(new_object.st_mode) or stat.S_ISLNK(new_object.st_mode)): # line: 1918 if self.is_windows_fs: # line: 1919 if force_replace: # line: 1920 raise OSError(errno.EACCES, 'Fake filesystem object: can not replace existing directory', new_file_path) else: # line: 1924 raise OSError(errno.EEXIST, 'Fake filesystem object: can not rename to existing directory', new_file_path) # line: 1927 if (not stat.S_ISLNK(new_object.st_mode)): # line: 1928 if new_object.contents: # line: 1929 raise OSError(errno.EEXIST, 'Fake filesystem object: can not rename to non-empty directory', new_file_path) # line: 1932 if stat.S_ISREG(old_object.st_mode): # line: 1933 raise OSError(errno.EISDIR, 'Fake filesystem object: cannot rename file to directory', new_file_path) elif stat.S_ISDIR(old_object.st_mode): # line: 1937 raise OSError(errno.ENOTDIR, 'Fake filesystem object: cannot rename directory to file', new_file_path) elif (self.is_windows_fs and (not force_replace)): # line: 1941 raise OSError(errno.EEXIST, 'Fake filesystem object: can not rename to existing file', new_file_path) else: # line: 1945 try: # line: 1946 self.RemoveObject(new_file_path) # line: 1947 except IOError as exc: # line: 1948 raise OSError(exc.errno, exc.strerror, exc.filename) # line: 1950 (old_dir, old_name) = self.SplitPath(old_file_path) # line: 1951 (new_dir, new_name) = self.SplitPath(new_file_path) # line: 1952 if (not self.Exists(new_dir)): # line: 1953 raise OSError(errno.ENOENT, 'No such fake directory', new_dir) # line: 1954 old_dir_object = self.ResolveObject(old_dir) # line: 1955 new_dir_object = self.ResolveObject(new_dir) # line: 1956 if (old_dir_object.st_dev != new_dir_object.st_dev): # line: 1957 raise OSError(errno.EXDEV, 'Fake filesystem object: cannot rename across file systems', old_file_path) # line: 1960 if (not stat.S_ISDIR(new_dir_object.st_mode)): # line: 1961 raise OSError((errno.EACCES if self.is_windows_fs else errno.ENOTDIR), 'Fake filesystem object: target parent is not a directory', new_file_path) # line: 1964 if new_dir_object.HasParentObject(old_object): # line: 1965 raise OSError(errno.EINVAL, 'Fake filesystem object: invalid target for rename', new_file_path) # line: 1969 object_to_rename = old_dir_object.GetEntry(old_name) # line: 1970 old_dir_object.RemoveEntry(old_name, recursive=False) # line: 1971 object_to_rename.name = new_name # line: 1972 if (new_name in new_dir_object.contents): # line: 1974 new_dir_object.RemoveEntry(new_name) # line: 1975 new_dir_object.AddEntry(object_to_rename) # line: 1977 def RemoveObject(self, file_path): # line: 1987 "Remove an existing file or directory.\n\n Args:\n file_path: the path to the file relative to self.\n\n Raises:\n IOError: if file_path does not correspond to an existing file, or if part\n of the path refers to something other than a directory.\n OSError: if the directory is in use (eg, if it is '/').\n " # line: 1988 file_path = self.NormalizePath(self.NormalizeCase(file_path)) # line: 1989 if self._IsRootPath(file_path): # line: 1990 raise OSError(errno.EBUSY, 'Fake device or resource busy', file_path) # line: 1992 try: # line: 1993 (dirname, basename) = self.SplitPath(file_path) # line: 1994 target_directory = self.ResolveObject(dirname) # line: 1995 target_directory.RemoveEntry(basename) # line: 1996 except KeyError: # line: 1997 raise IOError(errno.ENOENT, 'No such file or directory in the fake filesystem', file_path) # line: 2000 except AttributeError: # line: 2001 raise IOError(errno.ENOTDIR, 'Not a directory in the fake filesystem', file_path) # line: 2005 def CreateDirectory(self, directory_path, perm_bits=PERM_DEF): # line: 2019 'Create directory_path, and all the parent directories.\n\n Helper method to set up your test faster.\n\n Args:\n directory_path: The full directory path to create.\n perm_bits: The permission bits as set by `chmod`.\n\n Returns:\n the newly created FakeDirectory object.\n\n Raises:\n OSError: if the directory already exists.\n ' # line: 2020 directory_path = self.NormalizePath(directory_path) # line: 2021 self._AutoMountDriveIfNeeded(directory_path) # line: 2022 if self.Exists(directory_path): # line: 2023 raise OSError(errno.EEXIST, 'Directory exists in fake filesystem', directory_path) # line: 2026 path_components = self.GetPathComponents(directory_path) # line: 2027 current_dir = self.root # line: 2029 new_dirs = [] # line: 2030 for component in path_components: # line: 2031 directory = self._DirectoryContent(current_dir, component)[1] # line: 2032 if (not directory): # line: 2033 new_dir = FakeDirectory(component, filesystem=self) # line: 2034 new_dirs.append(new_dir) # line: 2035 current_dir.AddEntry(new_dir) # line: 2036 current_dir = new_dir else: # line: 2038 if stat.S_ISLNK(directory.st_mode): # line: 2039 directory = self.ResolveObject(directory.contents) # line: 2040 current_dir = directory # line: 2041 if ((directory.st_mode & stat.S_IFDIR) != stat.S_IFDIR): # line: 2042 raise OSError(errno.ENOTDIR, 'Not a directory', current_dir.GetPath()) # line: 2046 for new_dir in new_dirs: # line: 2047 new_dir.st_mode = (stat.S_IFDIR | perm_bits) # line: 2049 self._last_ino += 1 # line: 2050 current_dir.SetIno(self._last_ino) # line: 2051 return current_dir # line: 2053 def CreateFile(self, file_path, st_mode=(stat.S_IFREG | PERM_DEF_FILE), contents='', st_size=None, create_missing_dirs=True, apply_umask=False, encoding=None, errors=None): # line: 2079 'Create file_path, including all the parent directories along the way.\n\n This helper method can be used to set up tests more easily.\n\n Args:\n file_path: The path to the file to create.\n st_mode: The stat constant representing the file type.\n contents: The contents of the file.\n st_size: The file size; only valid if contents not given.\n create_missing_dirs: If `True`, auto create missing directories.\n apply_umask: `True` if the current umask must be applied on st_mode.\n encoding: Ff contents is a unicode string, the encoding used\n for serialization.\n New in pyfakefs 2.9.\n errors: The error mode used for encoding/decoding errors.\n New in pyfakefs 3.2.\n\n Returns:\n the newly created FakeFile object.\n\n Raises:\n IOError: if the file already exists.\n IOError: if the containing directory is required and missing.\n ' # line: 2080 return self.CreateFileInternally(file_path, st_mode, contents, st_size, create_missing_dirs, apply_umask, encoding, errors) # line: 2084 def add_real_file(self, file_path, read_only=True): # line: 2109 "Create file_path, including all the parent directories along the way, for an existing\n real file. The contents of the real file are read only on demand.\n New in pyfakefs 3.2.\n\n Args:\n file_path: Path to an existing file in the real file system\n read_only: If `True` (the default), writing to the fake file\n raises an exception. Otherwise, writing to the file changes\n the fake file only.\n\n Returns:\n the newly created FakeFile object.\n\n Raises:\n OSError: if the file does not exist in the real file system.\n IOError: if the file already exists in the fake file system.\n\n .. note:: On MacOS and BSD, accessing the fake file's contents will update both the real and fake files' `atime.` (access time). In this particular case, `add_real_file()` violates the rule that `pyfakefs` must not modify the real file system. Further, Windows offers the option to enable atime, and older versions of Linux may also modify atime.\n " # line: 2110 return self.CreateFileInternally(file_path, read_from_real_fs=True, read_only=read_only) # line: 2114 def add_real_directory(self, dir_path, read_only=True, lazy_read=True): # line: 2139 'Create a fake directory corresponding to the real directory at the specified\n path. Add entries in the fake directory corresponding to the entries in the\n real directory.\n New in pyfakefs 3.2.\n\n Args:\n dir_path: The path to the existing directory.\n read_only: If set, all files under the directory are treated as\n read-only, e.g. a write access raises an exception;\n otherwise, writing to the files changes the fake files only\n as usually.\n lazy_read: If set (default), directory contents are only read when\n accessed, and only until the needed subdirectory level.\n *Note:* this means that the file system size is only updated\n at the time the directory contents are read; set this to\n `False` only if you are dependent on accurate file system\n size in your test\n\n Returns:\n the newly created FakeDirectory object.\n\n Raises:\n OSError: if the directory does not exist in the real file system.\n IOError: if the directory already exists in the fake file system.\n ' # line: 2140 if (not os.path.exists(dir_path)): # line: 2141 raise IOError(errno.ENOENT, 'No such directory', dir_path) # line: 2142 if lazy_read: # line: 2143 parent_path = os.path.split(dir_path)[0] # line: 2144 if self.Exists(parent_path): # line: 2145 parent_dir = self.GetObject(parent_path) else: # line: 2147 parent_dir = self.CreateDirectory(parent_path) # line: 2148 new_dir = FakeDirectoryFromRealDirectory(dir_path, filesystem=self, read_only=read_only) # line: 2149 parent_dir.AddEntry(new_dir) # line: 2150 self._last_ino += 1 # line: 2151 new_dir.SetIno(self._last_ino) else: # line: 2153 new_dir = self.CreateDirectory(dir_path) # line: 2154 for (base, _, files) in os.walk(dir_path): # line: 2155 for fileEntry in files: # line: 2156 self.add_real_file(os.path.join(base, fileEntry), read_only) # line: 2157 return new_dir # line: 2159 def add_real_paths(self, path_list, read_only=True, lazy_dir_read=True): # line: 2176 'This convenience method adds multiple files and/or directories from the\n real file system to the fake file system. See `add_real_file()` and\n `add_real_directory()`.\n New in pyfakefs 3.2.\n\n Args:\n path_list: List of file and directory paths in the real file system.\n read_only: If set, all files and files under under the directories are treated as read-only,\n e.g. a write access raises an exception;\n otherwise, writing to the files changes the fake files only as usually.\n lazy_dir_read: Uses lazy reading of directory contents if set\n (see `add_real_directory`)\n\n Raises:\n OSError: if any of the files and directories in the list does not exist in the real file system.\n OSError: if any of the files and directories in the list already exists in the fake file system.\n ' # line: 2177 for path in path_list: # line: 2178 if os.path.isdir(path): # line: 2179 self.add_real_directory(path, read_only, lazy_dir_read) else: # line: 2181 self.add_real_file(path, read_only) # line: 2183 def CreateFileInternally(self, file_path, st_mode=(stat.S_IFREG | PERM_DEF_FILE), contents='', st_size=None, create_missing_dirs=True, apply_umask=False, encoding=None, errors=None, read_from_real_fs=False, read_only=True, raw_io=False): # line: 2203 'Internal fake file creator that supports both normal fake files and fake\n files based on real files.\n\n Args:\n file_path: path to the file to create.\n st_mode: the stat.S_IF constant representing the file type.\n contents: the contents of the file.\n st_size: file size; only valid if contents not given.\n create_missing_dirs: if True, auto create missing directories.\n apply_umask: whether or not the current umask must be applied on st_mode.\n encoding: if contents is a unicode string, the encoding used for serialization.\n errors: the error mode used for encoding/decoding errors\n read_from_real_fs: if True, the contents are reaf from the real file system on demand.\n read_only: if set, the file is treated as read-only, e.g. a write access raises an exception;\n otherwise, writing to the file changes the fake file only as usually.\n raw_io: `True` if called from low-level API (`os.open`)\n ' # line: 2204 error_class = (OSError if raw_io else IOError) # line: 2205 file_path = self.NormalizePath(file_path) # line: 2208 if (self.Exists(file_path) or self.IsLink(file_path)): # line: 2209 raise OSError(errno.EEXIST, 'File already exists in fake filesystem', file_path) # line: 2212 (parent_directory, new_file) = self.SplitPath(file_path) # line: 2213 if (not parent_directory): # line: 2214 parent_directory = self.cwd # line: 2215 self._AutoMountDriveIfNeeded(parent_directory) # line: 2216 if (not self.Exists(parent_directory)): # line: 2217 if (not create_missing_dirs): # line: 2218 raise error_class(errno.ENOENT, 'No such fake directory', parent_directory) # line: 2219 self.CreateDirectory(parent_directory) else: # line: 2221 parent_directory = self.NormalizeCase(parent_directory) # line: 2222 if apply_umask: # line: 2223 st_mode &= (~ self.umask) # line: 2224 if read_from_real_fs: # line: 2225 file_object = FakeFileFromRealFile(file_path, filesystem=self, read_only=read_only) else: # line: 2227 file_object = FakeFile(new_file, st_mode, filesystem=self, encoding=encoding, errors=errors) # line: 2229 self._last_ino += 1 # line: 2230 file_object.SetIno(self._last_ino) # line: 2231 self.AddObject(parent_directory, file_object, error_class) # line: 2233 if ((not read_from_real_fs) and ((contents is not None) or (st_size is not None))): # line: 2234 try: # line: 2235 if (st_size is not None): # line: 2236 file_object.SetLargeFileSize(st_size) else: # line: 2238 file_object._set_initial_contents(contents) # line: 2239 except IOError: # line: 2240 self.RemoveObject(file_path) # line: 2241 raise # line: 2243 return file_object # line: 2246 def CreateLink(self, file_path, link_target, create_missing_dirs=True): # line: 2261 'Create the specified symlink, pointed at the specified link target.\n\n Args:\n file_path: path to the symlink to create\n link_target: the target of the symlink\n create_missing_dirs: If `True`, any missing parent directories of\n file_path will be created\n\n Returns:\n the newly created FakeFile object.\n\n Raises:\n OSError: if the symlink could not be created (see `CreateFile`).\n OSError: if on Windows before Python 3.2.\n ' # line: 2262 if (not self._IsLinkSupported()): # line: 2263 raise OSError('Symbolic links are not supported on Windows before Python 3.2') # line: 2265 if (not self.IsLink(file_path)): # line: 2266 file_path = self.ResolvePath(file_path) # line: 2267 if (sys.version_info >= (3, 6)): # line: 2268 link_target = os.fspath(link_target) # line: 2269 return self.CreateFileInternally(file_path, st_mode=(stat.S_IFLNK | PERM_DEF), contents=link_target, create_missing_dirs=create_missing_dirs, raw_io=True) # line: 2273 def CreateHardLink(self, old_path, new_path): # line: 2289 "Create a hard link at new_path, pointing at old_path.\n New in pyfakefs 2.9.\n\n Args:\n old_path: an existing link to the target file.\n new_path: the destination path to create a new link at.\n\n Returns:\n the FakeFile object referred to by old_path.\n\n Raises:\n OSError: if something already exists at new_path.\n OSError: if old_path is a directory.\n OSError: if the parent directory doesn't exist.\n OSError: if on Windows before Python 3.2.\n " # line: 2290 if (not self._IsLinkSupported()): # line: 2291 raise OSError('Links are not supported on Windows before Python 3.2') # line: 2292 new_path_normalized = self.NormalizePath(new_path) # line: 2293 if self.Exists(new_path_normalized): # line: 2294 raise OSError(errno.EEXIST, 'File already exists in fake filesystem', new_path) # line: 2298 (new_parent_directory, new_basename) = self.SplitPath(new_path_normalized) # line: 2299 if (not new_parent_directory): # line: 2300 new_parent_directory = self.cwd # line: 2302 if (not self.Exists(new_parent_directory)): # line: 2303 raise OSError(errno.ENOENT, 'No such fake directory', new_parent_directory) # line: 2307 try: # line: 2308 old_file = self.ResolveObject(old_path) # line: 2309 except: # line: 2310 raise OSError(errno.ENOENT, 'No such file or directory in fake filesystem', old_path) # line: 2314 if (old_file.st_mode & stat.S_IFDIR): # line: 2315 raise OSError((errno.EACCES if self.is_windows_fs else errno.EPERM), 'Cannot create hard link to directory', old_path) # line: 2320 old_file.name = new_basename # line: 2321 self.AddObject(new_parent_directory, old_file) # line: 2322 return old_file # line: 2324 def ReadLink(self, path): # line: 2338 'Read the target of a symlink.\n New in pyfakefs 3.0.\n\n Args:\n path: symlink to read the target of.\n\n Returns:\n the string representing the path to which the symbolic link points.\n\n Raises:\n TypeError: if path is None\n OSError: (with errno=ENOENT) if path is not a valid path, or\n (with errno=EINVAL) if path is valid, but is not a symlink.\n ' # line: 2339 if (path is None): # line: 2340 raise TypeError # line: 2341 try: # line: 2342 link_obj = self.LResolveObject(path) # line: 2343 except IOError as exc: # line: 2344 raise OSError(exc.errno, 'Fake path does not exist', path) # line: 2345 if (stat.S_IFMT(link_obj.st_mode) != stat.S_IFLNK): # line: 2346 raise OSError(errno.EINVAL, 'Fake filesystem: not a symlink', path) # line: 2347 return link_obj.contents # line: 2349 def MakeDirectory(self, dir_name, mode=PERM_DEF): # line: 2362 "Create a leaf Fake directory.\n New in pyfakefs 3.0.\n\n Args:\n dir_name: (str) Name of directory to create. Relative paths are assumed\n to be relative to '/'.\n mode: (int) Mode to create directory with. This argument defaults to\n 0o777. The umask is applied to this mode.\n\n Raises:\n OSError: if the directory name is invalid or parent directory is read only\n or as per `FakeFilesystem.AddObject()`.\n " # line: 2363 if (sys.version_info >= (3, 6)): # line: 2364 dir_name = os.fspath(dir_name) # line: 2365 if self._EndsWithPathSeparator(dir_name): # line: 2366 dir_name = dir_name[:(-1)] # line: 2367 if (not dir_name): # line: 2368 raise OSError(errno.ENOENT, 'Empty directory name') # line: 2370 (parent_dir, _) = self.SplitPath(dir_name) # line: 2371 if parent_dir: # line: 2372 base_dir = self.CollapsePath(parent_dir) # line: 2373 ellipsis = self._matching_string(parent_dir, (self.path_separator + '..')) # line: 2374 if parent_dir.endswith(ellipsis): # line: 2375 (base_dir, dummy_dotdot, _) = parent_dir.partition(ellipsis) # line: 2376 if (not self.Exists(base_dir)): # line: 2377 raise OSError(errno.ENOENT, 'No such fake directory', base_dir) # line: 2379 dir_name = self.NormalizePath(dir_name) # line: 2380 if self.Exists(dir_name): # line: 2381 raise OSError(errno.EEXIST, 'Fake object already exists', dir_name) # line: 2382 (head, tail) = self.SplitPath(dir_name) # line: 2384 self.AddObject(head, FakeDirectory(tail, (mode & (~ self.umask)), filesystem=self)) # line: 2387 def MakeDirectories(self, dir_name, mode=PERM_DEF, exist_ok=False): # line: 2402 'Create a leaf Fake directory and create any non-existent parent dirs.\n New in pyfakefs 3.0.\n\n Args:\n dir_name: (str) Name of directory to create.\n mode: (int) Mode to create directory (and any necessary parent\n directories) with. This argument defaults to 0o777. The umask is\n applied to this mode.\n exist_ok: (boolean) If exist_ok is False (the default), an OSError is\n raised if the target directory already exists. New in Python 3.2.\n\n Raises:\n OSError: if the directory already exists and exist_ok=False, or as per\n `FakeFilesystem.CreateDirectory()`.\n ' # line: 2403 dir_name = self.NormalizePath(dir_name) # line: 2404 path_components = self.GetPathComponents(dir_name) # line: 2408 current_dir = self.root # line: 2409 for component in path_components: # line: 2410 if ((component not in current_dir.contents) or (not isinstance(current_dir.contents, dict))): # line: 2412 break else: # line: 2414 current_dir = current_dir.contents[component] # line: 2415 try: # line: 2416 self.CreateDirectory(dir_name, (mode & (~ self.umask))) # line: 2417 except (IOError, OSError) as e: # line: 2418 if ((not exist_ok) or (not isinstance(self.ResolveObject(dir_name), FakeDirectory))): # line: 2420 if isinstance(e, OSError): # line: 2421 raise # line: 2422 raise OSError(e.errno, e.strerror, e.filename) # line: 2424 def _IsType(self, path, st_flag, follow_symlinks=True): # line: 2438 "Helper function to implement isdir(), islink(), etc.\n\n See the stat(2) man page for valid stat.S_I* flag values\n\n Args:\n path: path to file to stat and test\n st_flag: the stat.S_I* flag checked for the file's st_mode\n\n Returns:\n boolean (the st_flag is set in path's st_mode)\n\n Raises:\n TypeError: if path is None\n " # line: 2439 if (sys.version_info >= (3, 6)): # line: 2440 path = os.fspath(path) # line: 2441 if (path is None): # line: 2442 raise TypeError # line: 2443 try: # line: 2444 obj = self.ResolveObject(path, follow_symlinks) # line: 2445 if obj: # line: 2446 return (stat.S_IFMT(obj.st_mode) == st_flag) # line: 2447 except (IOError, OSError): # line: 2448 return False # line: 2449 return False # line: 2451 def IsDir(self, path, follow_symlinks=True): # line: 2463 'Determine if path identifies a directory.\n New in pyfakefs 3.0.\n\n Args:\n path: path to filesystem object.\n\n Returns:\n True if path points to a directory (following symlinks).\n\n Raises:\n TypeError: if path is None.\n ' # line: 2464 return self._IsType(path, stat.S_IFDIR, follow_symlinks) # line: 2466 def IsFile(self, path, follow_symlinks=True): # line: 2478 'Determine if path identifies a regular file.\n New in pyfakefs 3.0.\n\n Args:\n path: path to filesystem object.\n\n Returns:\n True if path points to a regular file (following symlinks).\n\n Raises:\n TypeError: if path is None.\n ' # line: 2479 return self._IsType(path, stat.S_IFREG, follow_symlinks) # line: 2481 def IsLink(self, path): # line: 2493 'Determine if path identifies a symbolic link.\n New in pyfakefs 3.0.\n\n Args:\n path: path to filesystem object.\n\n Returns:\n True if path points to a symlink (S_IFLNK set in st_mode)\n\n Raises:\n TypeError: if path is None.\n ' # line: 2494 return self._IsType(path, stat.S_IFLNK, follow_symlinks=False) # line: 2496 def ConfirmDir(self, target_directory): # line: 2508 'Test that the target is actually a directory, raising OSError if not.\n New in pyfakefs 3.0.\n\n Args:\n target_directory: path to the target directory within the fake filesystem.\n\n Returns:\n the FakeDirectory object corresponding to target_directory.\n\n Raises:\n OSError: if the target is not a directory.\n ' # line: 2509 try: # line: 2510 directory = self.ResolveObject(target_directory) # line: 2511 except IOError as exc: # line: 2512 raise OSError(exc.errno, exc.strerror, target_directory) # line: 2513 if (not (directory.st_mode & stat.S_IFDIR)): # line: 2514 raise OSError(errno.ENOTDIR, 'Fake os module: not a directory', target_directory) # line: 2517 return directory # line: 2519 def RemoveFile(self, path): # line: 2530 'Remove the FakeFile object at the specified file path.\n New in pyfakefs 3.0.\n\n Args:\n path: path to file to be removed.\n\n Raises:\n OSError: if path points to a directory.\n OSError: if path does not exist.\n OSError: if removal failed.\n ' # line: 2531 path = self.NormalizePath(path) # line: 2532 if self.Exists(path): # line: 2533 obj = self.ResolveObject(path) # line: 2534 if (stat.S_IFMT(obj.st_mode) == stat.S_IFDIR): # line: 2535 link_obj = self.LResolveObject(path) # line: 2536 if (stat.S_IFMT(link_obj.st_mode) != stat.S_IFLNK): # line: 2537 raise OSError(errno.EISDIR, ("Is a directory: '%s'" % path)) # line: 2539 try: # line: 2540 self.RemoveObject(path) # line: 2541 except IOError as exc: # line: 2542 raise OSError(exc.errno, exc.strerror, exc.filename) # line: 2544 def RemoveDirectory(self, target_directory, allow_symlink=False): # line: 2557 "Remove a leaf Fake directory.\n New in pyfakefs 3.0.\n\n Args:\n target_directory: (str) Name of directory to remove.\n allow_symlink: (bool) if `target_directory` is a symlink,\n the function just returns, otherwise it raises (Posix only)\n\n Raises:\n OSError: if target_directory does not exist.\n OSError: if target_directory does not point to a directory.\n OSError: if removal failed per FakeFilesystem.RemoveObject. Cannot remove '.'.\n " # line: 2558 if (target_directory in ('.', u'.')): # line: 2559 raise OSError(errno.EINVAL, "Invalid argument: '.'") # line: 2560 target_directory = self.NormalizePath(target_directory) # line: 2561 if self.ConfirmDir(target_directory): # line: 2562 if ((not self.is_windows_fs) and self.IsLink(target_directory)): # line: 2563 if allow_symlink: # line: 2564 return # line: 2565 raise OSError(errno.ENOTDIR, 'Cannot remove symlink', target_directory) # line: 2567 dir_object = self.ResolveObject(target_directory) # line: 2568 if dir_object.contents: # line: 2569 raise OSError(errno.ENOTEMPTY, 'Fake Directory not empty', target_directory) # line: 2571 try: # line: 2572 self.RemoveObject(target_directory) # line: 2573 except IOError as exc: # line: 2574 raise OSError(exc.errno, exc.strerror, exc.filename) # line: 2576 def ListDir(self, target_directory): # line: 2588 'Return a list of file names in target_directory.\n New in pyfakefs 3.0.\n\n Args:\n target_directory: path to the target directory within the fake filesystem.\n\n Returns:\n a list of file names within the target directory in arbitrary order.\n\n Raises:\n OSError: if the target is not a directory.\n ' # line: 2589 target_directory = self.ResolvePath(target_directory, allow_fd=True) # line: 2590 directory = self.ConfirmDir(target_directory) # line: 2591 directory_contents = directory.contents # line: 2592 return list(directory_contents.keys()) # line: 2594 if (sys.version_info >= (3, 5)): # line: 2595 class DirEntry: # line: 2596 'Emulates os.DirEntry. Note that we did not enforce keyword only arguments.' # line: 2598 def __init__(self, filesystem): # line: 2603 'Initialize the dir entry with unset values.\n\n Args:\n filesystem: the fake filesystem used for implementation.\n ' # line: 2604 self._filesystem = filesystem # line: 2605 self.name = '' # line: 2606 self.path = '' # line: 2607 self._inode = None # line: 2608 self._islink = False # line: 2609 self._isdir = False # line: 2610 self._statresult = None # line: 2611 self._statresult_symlink = None # line: 2613 def inode(self): # line: 2614 'Return the inode number of the entry.' # line: 2615 if (self._inode is None): # line: 2616 self.stat(follow_symlinks=False) # line: 2617 return self._inode # line: 2619 def is_dir(self, follow_symlinks=True): # line: 2629 'Return True if this entry is a directory entry.\n\n Args:\n follow_symlinks: If True, also return True if this entry is a symlink\n pointing to a directory.\n\n Returns:\n True if this entry is an existing directory entry, or if\n follow_symlinks is set, and this entry points to an existing directory entry.\n ' # line: 2630 return (self._isdir and (follow_symlinks or (not self._islink))) # line: 2632 def is_file(self, follow_symlinks=True): # line: 2642 'Return True if this entry is a regular file entry.\n\n Args:\n follow_symlinks: If True, also return True if this entry is a symlink\n pointing to a regular file.\n\n Returns:\n True if this entry is an existing file entry, or if\n follow_symlinks is set, and this entry points to an existing file entry.\n ' # line: 2643 return ((not self._isdir) and (follow_symlinks or (not self._islink))) # line: 2645 def is_symlink(self): # line: 2646 'Return True if this entry is a symbolic link (even if broken).' # line: 2647 return self._islink # line: 2649 def stat(self, follow_symlinks=True): # line: 2655 'Return a stat_result object for this entry.\n\n Args:\n follow_symlinks: If False and the entry is a symlink, return the\n result for the symlink, otherwise for the object it points to.\n ' # line: 2656 if follow_symlinks: # line: 2657 if (self._statresult_symlink is None): # line: 2658 file_object = self._filesystem.ResolveObject(self.path) # line: 2659 if self._filesystem.is_windows_fs: # line: 2662 file_object.st_ino = 0 # line: 2663 file_object.st_dev = 0 # line: 2664 file_object.st_nlink = 0 # line: 2665 self._statresult_symlink = file_object.stat_result.copy() # line: 2666 return self._statresult_symlink # line: 2668 if (self._statresult is None): # line: 2669 file_object = self._filesystem.LResolveObject(self.path) # line: 2670 self._inode = file_object.st_ino # line: 2671 if self._filesystem.is_windows_fs: # line: 2672 file_object.st_ino = 0 # line: 2673 file_object.st_dev = 0 # line: 2674 file_object.st_nlink = 0 # line: 2675 self._statresult = file_object.stat_result.copy() # line: 2676 return self._statresult # line: 2678 class ScanDirIter: # line: 2681 'Iterator for DirEntry objects returned from `scandir()` function.\n New in pyfakefs 3.0.\n ' # line: 2683 def __init__(self, filesystem, path): # line: 2684 self.filesystem = filesystem # line: 2685 self.path = self.filesystem.ResolvePath(path) # line: 2686 contents = {} # line: 2687 try: # line: 2688 contents = self.filesystem.ConfirmDir(path).contents # line: 2689 except OSError: # line: 2690 pass # line: 2691 self.contents_iter = iter(contents) # line: 2693 def __iter__(self): # line: 2694 return self # line: 2696 def __next__(self): # line: 2697 entry = self.contents_iter.__next__() # line: 2698 dir_entry = self.filesystem.DirEntry(self.filesystem) # line: 2699 dir_entry.name = entry # line: 2700 dir_entry.path = self.filesystem.JoinPaths(self.path, dir_entry.name) # line: 2701 dir_entry._isdir = self.filesystem.IsDir(dir_entry.path) # line: 2702 dir_entry._islink = self.filesystem.IsLink(dir_entry.path) # line: 2703 return dir_entry # line: 2705 if (sys.version_info >= (3, 6)): # line: 2706 def __enter__(self): # line: 2707 return self # line: 2709 def __exit__(self, exc_type, exc_val, exc_tb): # line: 2710 self.close() # line: 2712 def close(self): # line: 2713 pass # line: 2715 def ScanDir(self, path=''): # line: 2728 'Return an iterator of DirEntry objects corresponding to the entries\n in the directory given by path.\n New in pyfakefs 3.0.\n\n Args:\n path: path to the target directory within the fake filesystem.\n\n Returns:\n an iterator to an unsorted list of os.DirEntry objects for each entry in path.\n\n Raises:\n OSError: if the target is not a directory.\n ' # line: 2729 return self.ScanDirIter(self, path) # line: 2731 def __str__(self): # line: 2732 return str(self.root) # line: 2735 class FakePathModule(object): # line: 2740 'Faked os.path module replacement.\n\n FakePathModule should *only* be instantiated by FakeOsModule. See the\n FakeOsModule docstring for details.\n ' # line: 2741 _OS_PATH_COPY = CopyModule(os.path) # line: 2743 def __init__(self, filesystem, os_module=None): # line: 2749 'Init.\n\n Args:\n filesystem: FakeFilesystem used to provide file system information\n os_module: (deprecated) FakeOsModule to assign to self.os\n ' # line: 2750 self.filesystem = filesystem # line: 2751 self._os_path = self._OS_PATH_COPY # line: 2752 if (os_module is None): # line: 2753 warnings.warn(FAKE_PATH_MODULE_DEPRECATION, DeprecationWarning, stacklevel=2) # line: 2755 self._os_path.os = self.os = os_module # line: 2756 self.sep = self.filesystem.path_separator # line: 2757 self.altsep = self.filesystem.alternative_path_separator # line: 2759 def exists(self, path): # line: 2767 'Determine whether the file object exists within the fake filesystem.\n\n Args:\n path: path to the file object.\n\n Returns:\n bool (if file exists).\n ' # line: 2768 return self.filesystem.Exists(path) # line: 2770 def lexists(self, path): # line: 2778 'Test whether a path exists. Returns True for broken symbolic links.\n\n Args:\n path: path to the symlink object.\n\n Returns:\n bool (if file exists).\n ' # line: 2779 return (self.exists(path) or self.islink(path)) # line: 2781 def getsize(self, path): # line: 2789 'Return the file object size in bytes.\n\n Args:\n path: path to the file object.\n\n Returns:\n file size in bytes.\n ' # line: 2790 try: # line: 2791 file_obj = self.filesystem.ResolveObject(path) # line: 2792 return file_obj.st_size # line: 2793 except IOError as exc: # line: 2794 raise os.error(exc.errno, exc.strerror) # line: 2796 def isabs(self, path): # line: 2797 'Return True if path is an absolute pathname.' # line: 2798 if self.filesystem.is_windows_fs: # line: 2799 path = self.splitdrive(path)[1] # line: 2800 if (sys.version_info >= (3, 6)): # line: 2801 path = os.fspath(path) # line: 2802 sep = self.filesystem._path_separator(path) # line: 2803 altsep = self.filesystem._alternative_path_separator(path) # line: 2804 if self.filesystem.is_windows_fs: # line: 2805 return ((len(path) > 0) and (path[:1] in (sep, altsep))) else: # line: 2807 return (path.startswith(sep) or ((altsep is not None) and path.startswith(altsep))) # line: 2809 def isdir(self, path): # line: 2810 'Determine if path identifies a directory.' # line: 2811 return self.filesystem.IsDir(path) # line: 2813 def isfile(self, path): # line: 2814 'Determine if path identifies a regular file.' # line: 2815 return self.filesystem.IsFile(path) # line: 2817 def islink(self, path): # line: 2828 'Determine if path identifies a symbolic link.\n\n Args:\n path: path to filesystem object.\n\n Returns:\n True if path points to a symbolic link.\n\n Raises:\n TypeError: if path is None.\n ' # line: 2829 return self.filesystem.IsLink(path) # line: 2831 def getmtime(self, path): # line: 2843 'Returns the modification time of the fake file.\n\n Args:\n path: the path to fake file.\n\n Returns:\n (int, float) the modification time of the fake file\n in number of seconds since the epoch.\n\n Raises:\n OSError: if the file does not exist.\n ' # line: 2844 try: # line: 2845 file_obj = self.filesystem.ResolveObject(path) # line: 2846 except IOError as exc: # line: 2847 raise OSError(errno.ENOENT, str(exc)) # line: 2848 return file_obj.st_mtime # line: 2850 def getatime(self, path): # line: 2863 'Returns the last access time of the fake file.\n\n Note: Access time is not set automatically in fake filesystem on access.\n\n Args:\n path: the path to fake file.\n\n Returns:\n (int, float) the access time of the fake file in number of seconds since the epoch.\n\n Raises:\n OSError: if the file does not exist.\n ' # line: 2864 try: # line: 2865 file_obj = self.filesystem.ResolveObject(path) # line: 2866 except IOError as exc: # line: 2867 raise OSError(errno.ENOENT, str(exc)) # line: 2868 return file_obj.st_atime # line: 2870 def getctime(self, path): # line: 2881 'Returns the creation time of the fake file.\n\n Args:\n path: the path to fake file.\n\n Returns:\n (int, float) the creation time of the fake file in number of seconds since the epoch.\n\n Raises:\n OSError: if the file does not exist.\n ' # line: 2882 try: # line: 2883 file_obj = self.filesystem.ResolveObject(path) # line: 2884 except IOError as exc: # line: 2885 raise OSError(errno.ENOENT, str(exc)) # line: 2886 return file_obj.st_ctime # line: 2888 def abspath(self, path): # line: 2889 'Return the absolute version of a path.' # line: 2891 def getcwd(): # line: 2892 'Return the current working directory.' # line: 2894 if ((sys.version_info < (3,)) and isinstance(path, unicode)): # line: 2895 return self.os.getcwdu() elif ((sys.version_info >= (3,)) and isinstance(path, bytes)): # line: 2897 return self.os.getcwdb() else: # line: 2899 return self.os.getcwd() # line: 2901 if (sys.version_info >= (3, 6)): # line: 2902 path = os.fspath(path) # line: 2904 sep = self.filesystem._path_separator(path) # line: 2905 altsep = self.filesystem._alternative_path_separator(path) # line: 2906 if (not self.isabs(path)): # line: 2907 path = self.join(getcwd(), path) elif ((self.filesystem.is_windows_fs and path.startswith(sep)) or ((altsep is not None) and path.startswith(altsep))): # line: 2911 cwd = getcwd() # line: 2912 if self.filesystem.StartsWithDriveLetter(cwd): # line: 2913 path = self.join(cwd[:2], path) # line: 2914 return self.normpath(path) # line: 2916 def join(self, *p): # line: 2917 'Return the completed path with a separator of the parts.' # line: 2918 return self.filesystem.JoinPaths(*p) # line: 2920 def split(self, path): # line: 2923 'Split the path into the directory and the filename of the path.\n New in pyfakefs 3.0.\n ' # line: 2924 return self.filesystem.SplitPath(path) # line: 2926 def splitdrive(self, path): # line: 2929 'Split the path into the drive part and the rest of the path, if supported.\n New in pyfakefs 2.9.\n ' # line: 2930 return self.filesystem.SplitDrive(path) # line: 2932 def normpath(self, path): # line: 2933 'Normalize path, eliminating double slashes, etc.' # line: 2934 return self.filesystem.CollapsePath(path) # line: 2936 def normcase(self, path): # line: 2939 'Convert to lower case under windows, replaces additional path separator.\n New in pyfakefs 2.9.\n ' # line: 2940 path = self.filesystem.NormalizePathSeparator(path) # line: 2941 if self.filesystem.is_windows_fs: # line: 2942 path = path.lower() # line: 2943 return path # line: 2945 def relpath(self, path, start=None): # line: 2946 'We mostly rely on the native implementation and adapt the path separator.' # line: 2947 if (not path): # line: 2948 raise ValueError('no path specified') # line: 2949 if (sys.version_info >= (3, 6)): # line: 2950 path = os.fspath(path) # line: 2951 if (start is not None): # line: 2952 start = os.fspath(start) # line: 2953 if (start is None): # line: 2954 start = self.filesystem.cwd # line: 2955 if (self.filesystem.alternative_path_separator is not None): # line: 2956 path = path.replace(self.filesystem.alternative_path_separator, self._os_path.sep) # line: 2957 start = start.replace(self.filesystem.alternative_path_separator, self._os_path.sep) # line: 2958 path = path.replace(self.filesystem.path_separator, self._os_path.sep) # line: 2959 start = start.replace(self.filesystem.path_separator, self._os_path.sep) # line: 2960 path = self._os_path.relpath(path, start) # line: 2961 return path.replace(self._os_path.sep, self.filesystem.path_separator) # line: 2963 def realpath(self, filename): # line: 2967 'Return the canonical path of the specified filename, eliminating any\n symbolic links encountered in the path.\n New in pyfakefs 3.0.\n ' # line: 2968 if self.filesystem.is_windows_fs: # line: 2969 return self.abspath(filename) # line: 2970 if (sys.version_info >= (3, 6)): # line: 2971 filename = os.fspath(filename) # line: 2972 (path, ok) = self._joinrealpath(filename[:0], filename, {}) # line: 2973 return self.abspath(path) # line: 2975 if ((sys.platform != 'win32') or (sys.version_info >= (3, 2))): # line: 2976 def samefile(self, path1, path2): # line: 2987 'Return whether path1 and path2 point to the same file.\n Windows support new in Python 3.2.\n New in pyfakefs 3.3.\n\n Args:\n path1: first file path or path object (Python >=3.6)\n path2: second file path or path object (Python >=3.6)\n\n Raises:\n OSError: if one of the paths does not point to an existing file system object.\n ' # line: 2988 stat1 = self.filesystem.GetStat(path1) # line: 2989 stat2 = self.filesystem.GetStat(path2) # line: 2990 return ((stat1.st_ino == stat2.st_ino) and (stat1.st_dev == stat2.st_dev)) # line: 2992 def _joinrealpath(self, path, rest, seen): # line: 2996 'Join two paths, normalizing and eliminating any symbolic links\n encountered in the second path.\n Taken from Python source and adapted.\n ' # line: 2997 curdir = self.filesystem._matching_string(path, '.') # line: 2998 pardir = self.filesystem._matching_string(path, '..') # line: 3000 sep = self.filesystem._path_separator(path) # line: 3001 if self.isabs(rest): # line: 3002 rest = rest[1:] # line: 3003 path = sep # line: 3005 while rest: # line: 3006 (name, _, rest) = rest.partition(sep) # line: 3007 if ((not name) or (name == curdir)): # line: 3009 continue # line: 3010 if (name == pardir): # line: 3012 if path: # line: 3013 (path, name) = self.filesystem.SplitPath(path) # line: 3014 if (name == pardir): # line: 3015 path = self.filesystem.JoinPaths(path, pardir, pardir) else: # line: 3017 path = pardir # line: 3018 continue # line: 3019 newpath = self.filesystem.JoinPaths(path, name) # line: 3020 if (not self.filesystem.IsLink(newpath)): # line: 3021 path = newpath # line: 3022 continue # line: 3024 if (newpath in seen): # line: 3026 path = seen[newpath] # line: 3027 if (path is not None): # line: 3029 continue # line: 3032 return (self.filesystem.JoinPaths(newpath, rest), False) # line: 3033 seen[newpath] = None # line: 3034 (path, ok) = self._joinrealpath(path, self.filesystem.ReadLink(newpath), seen) # line: 3035 if (not ok): # line: 3036 return (self.filesystem.JoinPaths(path, rest), False) # line: 3037 seen[newpath] = path # line: 3038 return (path, True) # line: 3040 def dirname(self, path): # line: 3043 'Returns the first part of the result of `split()`.\n New in pyfakefs 3.0.\n ' # line: 3044 return self.split(path)[0] # line: 3046 def expanduser(self, path): # line: 3049 "Return the argument with an initial component of ~ or ~user\n replaced by that user's home directory.\n " # line: 3050 return self._os_path.expanduser(path).replace(self._os_path.sep, self.sep) # line: 3052 def ismount(self, path): # line: 3062 'Return true if the given path is a mount point.\n New in pyfakefs 2.9.\n\n Args:\n path: path to filesystem object to be checked\n\n Returns:\n True if path is a mount point added to the fake file system.\n Under Windows also returns True for drive and UNC roots (independent of their existence).\n ' # line: 3063 if (sys.version_info >= (3, 6)): # line: 3064 path = os.fspath(path) # line: 3065 if (not path): # line: 3066 return False # line: 3067 normed_path = self.filesystem.NormalizePath(path) # line: 3068 sep = self.filesystem._path_separator(path) # line: 3069 if self.filesystem.is_windows_fs: # line: 3070 if (self.filesystem.alternative_path_separator is not None): # line: 3071 path_seps = (sep, self.filesystem._alternative_path_separator(path)) else: # line: 3075 path_seps = (sep,) # line: 3076 (drive, rest) = self.filesystem.SplitDrive(normed_path) # line: 3077 if (drive and (drive[:1] in path_seps)): # line: 3078 return ((not rest) or (rest in path_seps)) # line: 3079 if (rest in path_seps): # line: 3080 return True # line: 3081 for mount_point in self.filesystem.mount_points: # line: 3082 if (normed_path.rstrip(sep) == mount_point.rstrip(sep)): # line: 3083 return True # line: 3084 return False # line: 3086 if (sys.version_info < (3, 0)): # line: 3087 def walk(self, top, func, arg): # line: 3095 'Directory tree walk with callback function.\n New in pyfakefs 3.0.\n\n Args:\n top: root path to traverse. The root itself is not included in the called elements.\n func: function to be called for each visited path node.\n arg: first argument to be called with func (apart from dirname and filenames).\n ' # line: 3096 try: # line: 3097 names = self.filesystem.ListDir(top) # line: 3098 except os.error: # line: 3099 return # line: 3100 func(arg, top, names) # line: 3101 for name in names: # line: 3102 name = self.filesystem.JoinPaths(top, name) # line: 3103 if self.filesystem.is_windows_fs: # line: 3104 if self.filesystem.IsDir(name): # line: 3105 self.walk(name, func, arg) else: # line: 3107 try: # line: 3108 st = self.filesystem.GetStat(name, follow_symlinks=False) # line: 3109 except os.error: # line: 3110 continue # line: 3111 if stat.S_ISDIR(st.st_mode): # line: 3112 self.walk(name, func, arg) # line: 3114 def __getattr__(self, name): # line: 3115 'Forwards any non-faked calls to the real os.path.' # line: 3116 return getattr(self._os_path, name) # line: 3119 class FakeOsModule(object): # line: 3130 'Uses FakeFilesystem to provide a fake os module replacement.\n\n Do not create os.path separately from os, as there is a necessary circular\n dependency between os and os.path to replicate the behavior of the standard\n Python modules. What you want to do is to just let FakeOsModule take care of\n os.path setup itself.\n\n # You always want to do this.\n filesystem = fake_filesystem.FakeFilesystem()\n my_os_module = fake_filesystem.FakeOsModule(filesystem)\n ' # line: 3132 _stat_float_times = (sys.version_info >= (2, 5)) # line: 3134 def __init__(self, filesystem, os_path_module=None): # line: 3140 'Also exposes self.path (to fake os.path).\n\n Args:\n filesystem: FakeFilesystem used to provide file system information\n os_path_module: (deprecated) optional FakePathModule instance\n ' # line: 3141 self.filesystem = filesystem # line: 3142 self.sep = filesystem.path_separator # line: 3143 self.altsep = filesystem.alternative_path_separator # line: 3144 self._os_module = os # line: 3145 if (os_path_module is None): # line: 3146 self.path = FakePathModule(self.filesystem, self) else: # line: 3148 warnings.warn(FAKE_PATH_MODULE_DEPRECATION, DeprecationWarning, stacklevel=2) # line: 3150 self.path = os_path_module # line: 3151 if (sys.version_info < (3, 0)): # line: 3152 self.fdopen = self._fdopen_ver2 else: # line: 3154 self.fdopen = self._fdopen # line: 3156 def _fdopen(self, *args, **kwargs): # line: 3168 'Redirector to open() builtin function.\n\n Args:\n *args: pass through args\n **kwargs: pass through kwargs\n\n Returns:\n File object corresponding to file_des.\n\n Raises:\n TypeError: if file descriptor is not an integer.\n ' # line: 3169 if (not isinstance(args[0], int)): # line: 3170 raise TypeError('an integer is required') # line: 3171 return FakeFileOpen(self.filesystem)(*args, **kwargs) # line: 3173 def _fdopen_ver2(self, file_des, mode='r', bufsize=None): # line: 3188 'Returns an open file object connected to the file descriptor file_des.\n\n Args:\n file_des: An integer file descriptor for the file object requested.\n mode: additional file flags. Currently checks to see if the mode matches\n the mode of the requested file object.\n bufsize: ignored. (Used for signature compliance with __builtin__.fdopen)\n\n Returns:\n File object corresponding to file_des.\n\n Raises:\n OSError: if bad file descriptor or incompatible mode is given.\n TypeError: if file descriptor is not an integer.\n ' # line: 3189 if (not isinstance(file_des, int)): # line: 3190 raise TypeError('an integer is required') # line: 3192 try: # line: 3193 return FakeFileOpen(self.filesystem).Call(file_des, mode=mode) # line: 3194 except IOError as exc: # line: 3195 raise OSError(exc) # line: 3197 def _umask(self): # line: 3198 'Return the current umask.' # line: 3199 if self.filesystem.is_windows_fs: # line: 3201 return 0 # line: 3202 if (sys.platform == 'win32'): # line: 3204 return 2 else: # line: 3209 mask = os.umask(0) # line: 3210 os.umask(mask) # line: 3211 return mask # line: 3214 def open(self, file_path, flags, mode=None, dir_fd=None): # line: 3233 'Return the file descriptor for a FakeFile.\n\n Args:\n file_path: the path to the file\n flags: low-level bits to indicate io operation\n mode: bits to define default permissions\n Note: only basic modes are supported, OS-specific modes are ignored\n dir_fd: If not `None`, the file descriptor of a directory,\n with `file_path` being relative to this directory.\n New in Python 3.3. New in pyfakefs 3.3.\n\n Returns:\n A file descriptor.\n\n Raises:\n IOError: if the path cannot be found\n ValueError: if invalid mode is given\n NotImplementedError: if `os.O_EXCL` is used without `os.O_CREAT`\n ' # line: 3234 file_path = self._path_with_dir_fd(file_path, self.open, dir_fd) # line: 3235 if (mode is None): # line: 3236 if self.filesystem.is_windows_fs: # line: 3237 mode = 438 else: # line: 3239 mode = (511 & (~ self._umask())) # line: 3241 open_modes = _OpenModes(must_exist=(not (flags & os.O_CREAT)), can_read=(not (flags & os.O_WRONLY)), can_write=(flags & (os.O_RDWR | os.O_WRONLY)), truncate=(flags & os.O_TRUNC), append=(flags & os.O_APPEND), must_not_exist=(flags & os.O_EXCL)) # line: 3249 if (open_modes.must_not_exist and open_modes.must_exist): # line: 3250 raise NotImplementedError('O_EXCL without O_CREAT mode is not supported') # line: 3252 if ((not self.filesystem.is_windows_fs) and (not open_modes.can_write) and self.filesystem.Exists(file_path)): # line: 3256 obj = self.filesystem.ResolveObject(file_path) # line: 3257 if isinstance(obj, FakeDirectory): # line: 3258 dir_wrapper = FakeDirWrapper(obj, file_path, self.filesystem) # line: 3259 file_des = self.filesystem.AddOpenFile(dir_wrapper) # line: 3260 dir_wrapper.filedes = file_des # line: 3261 return file_des # line: 3264 str_flags = 'b' # line: 3265 delete_on_close = False # line: 3266 if hasattr(os, 'O_TEMPORARY'): # line: 3267 delete_on_close = ((flags & os.O_TEMPORARY) == os.O_TEMPORARY) # line: 3268 fake_file = FakeFileOpen(self.filesystem, delete_on_close=delete_on_close, raw_io=True)(file_path, str_flags, open_modes=open_modes) # line: 3271 self.chmod(file_path, mode) # line: 3272 return fake_file.fileno() # line: 3274 def close(self, file_des): # line: 3283 'Close a file descriptor.\n\n Args:\n file_des: An integer file descriptor for the file object requested.\n\n Raises:\n OSError: bad file descriptor.\n TypeError: if file descriptor is not an integer.\n ' # line: 3284 file_handle = self.filesystem.GetOpenFile(file_des) # line: 3285 file_handle.close() # line: 3287 def read(self, file_des, num_bytes): # line: 3300 'Read number of bytes from a file descriptor, returns bytes read.\n\n Args:\n file_des: An integer file descriptor for the file object requested.\n num_bytes: Number of bytes to read from file.\n\n Returns:\n Bytes read from file.\n\n Raises:\n OSError: bad file descriptor.\n TypeError: if file descriptor is not an integer.\n ' # line: 3301 file_handle = self.filesystem.GetOpenFile(file_des) # line: 3302 file_handle.raw_io = True # line: 3303 return file_handle.read(num_bytes) # line: 3305 def write(self, file_des, contents): # line: 3318 'Write string to file descriptor, returns number of bytes written.\n\n Args:\n file_des: An integer file descriptor for the file object requested.\n contents: String of bytes to write to file.\n\n Returns:\n Number of bytes written.\n\n Raises:\n OSError: bad file descriptor.\n TypeError: if file descriptor is not an integer.\n ' # line: 3319 file_handle = self.filesystem.GetOpenFile(file_des) # line: 3320 file_handle.raw_io = True # line: 3321 file_handle._sync_io() # line: 3322 file_handle.write(contents) # line: 3323 file_handle.flush() # line: 3324 return len(contents) # line: 3326 @classmethod # line: 3326 def stat_float_times(cls, newvalue=None): # line: 3337 "Determine whether a file's time stamps are reported as floats or ints.\n New in pyfakefs 2.9.\n\n Calling without arguments returns the current value. The value is shared\n by all instances of FakeOsModule.\n\n Args:\n newvalue: if True, mtime, ctime, atime are reported as floats.\n Else, as ints (rounding down).\n " # line: 3338 if (newvalue is not None): # line: 3339 cls._stat_float_times = bool(newvalue) # line: 3340 return cls._stat_float_times # line: 3342 def fstat(self, file_des): # line: 3353 "Return the os.stat-like tuple for the FakeFile object of file_des.\n\n Args:\n file_des: file descriptor of filesystem object to retrieve.\n\n Returns:\n the FakeStatResult object corresponding to entry_path.\n\n Raises:\n OSError: if the filesystem object doesn't exist.\n " # line: 3355 file_object = self.filesystem.GetOpenFile(file_des).GetObject() # line: 3356 return file_object.stat_result.copy() # line: 3358 def umask(self, new_mask): # line: 3369 'Change the current umask.\n\n Args:\n new_mask: An integer.\n\n Returns:\n The old mask.\n\n Raises:\n TypeError: new_mask is of an invalid type.\n ' # line: 3370 if (not isinstance(new_mask, int)): # line: 3371 raise TypeError('an integer is required') # line: 3372 old_umask = self.filesystem.umask # line: 3373 self.filesystem.umask = new_mask # line: 3374 return old_umask # line: 3376 def chdir(self, target_directory): # line: 3385 'Change current working directory to target directory.\n\n Args:\n target_directory: path to new current working directory.\n\n Raises:\n OSError: if user lacks permission to enter the argument directory or if\n the target is not a directory\n ' # line: 3386 target_directory = self.filesystem.ResolvePath(target_directory, allow_fd=True) # line: 3387 self.filesystem.ConfirmDir(target_directory) # line: 3388 directory = self.filesystem.ResolveObject(target_directory) # line: 3390 if (not (directory.st_mode | PERM_EXE)): # line: 3391 raise OSError(errno.EACCES, 'Fake os module: permission denied', directory) # line: 3393 self.filesystem.cwd = target_directory # line: 3395 def getcwd(self): # line: 3396 'Return current working directory.' # line: 3397 return self.filesystem.cwd # line: 3399 if (sys.version_info < (3,)): # line: 3400 def getcwdu(self): # line: 3401 'Return current working directory as unicode. Python 2 only.' # line: 3402 return unicode(self.filesystem.cwd) else: # line: 3405 def getcwdb(self): # line: 3406 'Return current working directory as bytes. Python 3 only.' # line: 3407 return bytes(self.filesystem.cwd, locale.getpreferredencoding(False)) # line: 3409 def listdir(self, target_directory): # line: 3421 'Return a list of file names in target_directory.\n\n Args:\n target_directory: path to the target directory within the fake\n filesystem.\n\n Returns:\n a list of file names within the target directory in arbitrary order.\n\n Raises:\n OSError: if the target is not a directory.\n ' # line: 3422 return self.filesystem.ListDir(target_directory) # line: 3424 if (sys.platform.startswith('linux') and (sys.version_info >= (3, 3))): # line: 3425 def listxattr(self, path=None, follow_symlinks=True): # line: 3426 'Dummy implementation that returns an empty list - used by shutil.' # line: 3427 return [] # line: 3429 if (sys.version_info >= (3, 5)): # line: 3430 def scandir(self, path=''): # line: 3442 'Return an iterator of DirEntry objects corresponding to the entries\n in the directory given by path.\n\n Args:\n path: path to the target directory within the fake filesystem.\n\n Returns:\n an iterator to an unsorted list of os.DirEntry objects for each entry in path.\n\n Raises:\n OSError: if the target is not a directory.\n ' # line: 3443 return self.filesystem.ScanDir(path) # line: 3445 def _ClassifyDirectoryContents(self, root): # line: 3460 'Classify contents of a directory as files/directories.\n\n Args:\n root: (str) Directory to examine.\n\n Returns:\n (tuple) A tuple consisting of three values: the directory examined, a\n list containing all of the directory entries, and a list containing all\n of the non-directory entries. (This is the same format as returned by\n the os.walk generator.)\n\n Raises:\n Nothing on its own, but be ready to catch exceptions generated by\n underlying mechanisms like os.listdir.\n ' # line: 3461 dirs = [] # line: 3462 files = [] # line: 3463 for entry in self.listdir(root): # line: 3464 if self.path.isdir(self.path.join(root, entry)): # line: 3465 dirs.append(entry) else: # line: 3467 files.append(entry) # line: 3468 return (root, dirs, files) # line: 3470 def walk(self, top, topdown=True, onerror=None, followlinks=False): # line: 3486 'Perform an os.walk operation over the fake filesystem.\n\n Args:\n top: root directory from which to begin walk.\n topdown: determines whether to return the tuples with the root as the\n first entry (True) or as the last, after all the child directory\n tuples (False).\n onerror: if not None, function which will be called to handle the\n os.error instance provided when os.listdir() fails.\n followlinks: if True, symbolic links are followed. New in pyfakefs 2.9.\n\n Yields:\n (path, directories, nondirectories) for top and each of its\n subdirectories. See the documentation for the builtin os module for\n further details.\n ' # line: 3487 def do_walk(top, topMost=False): # line: 3488 top = self.path.normpath(top) # line: 3489 if ((not topMost) and (not followlinks) and self.path.islink(top)): # line: 3490 return # line: 3491 try: # line: 3492 top_contents = self._ClassifyDirectoryContents(top) # line: 3493 except OSError as exc: # line: 3494 top_contents = None # line: 3495 if (onerror is not None): # line: 3496 onerror(exc) # line: 3498 if (top_contents is not None): # line: 3499 if topdown: # line: 3500 yield top_contents # line: 3502 for directory in top_contents[1]: # line: 3503 if ((not followlinks) and self.path.islink(directory)): # line: 3504 continue # line: 3505 for contents in do_walk(self.path.join(top, directory)): # line: 3506 yield contents # line: 3508 if (not topdown): # line: 3509 yield top_contents # line: 3511 return do_walk(top, topMost=True) # line: 3514 def readlink(self, path, dir_fd=None): # line: 3530 'Read the target of a symlink.\n\n Args:\n path: Symlink to read the target of.\n dir_fd: If not `None`, the file descriptor of a directory,\n with `path` being relative to this directory.\n New in Python 3.3. New in pyfakefs 3.3.\n\n Returns:\n the string representing the path to which the symbolic link points.\n\n Raises:\n TypeError: if `path` is None\n OSError: (with errno=ENOENT) if path is not a valid path, or\n (with errno=EINVAL) if path is valid, but is not a symlink.\n ' # line: 3531 path = self._path_with_dir_fd(path, self.readlink, dir_fd) # line: 3532 return self.filesystem.ReadLink(path) # line: 3534 def stat(self, entry_path, dir_fd=None, follow_symlinks=None): # line: 3551 "Return the os.stat-like tuple for the FakeFile object of entry_path.\n\n Args:\n entry_path: path to filesystem object to retrieve.\n dir_fd: (int) If not `None`, the file descriptor of a directory,\n with `entry_path` being relative to this directory.\n New in Python 3.3. New in pyfakefs 3.3.\n follow_symlinks: (bool) If `False` and `entry_path` points to a symlink,\n the link itself is changed instead of the linked object.\n New in Python 3.3. New in pyfakefs 3.0.\n\n Returns:\n the FakeStatResult object corresponding to entry_path.\n\n Raises:\n OSError: if the filesystem object doesn't exist.\n " # line: 3552 if (follow_symlinks is None): # line: 3553 follow_symlinks = True elif (sys.version_info < (3, 3)): # line: 3555 raise TypeError("stat() got an unexpected keyword argument 'follow_symlinks'") # line: 3556 entry_path = self._path_with_dir_fd(entry_path, self.stat, dir_fd) # line: 3557 return self.filesystem.GetStat(entry_path, follow_symlinks) # line: 3559 def lstat(self, entry_path, dir_fd=None): # line: 3573 "Return the os.stat-like tuple for entry_path, not following symlinks.\n\n Args:\n entry_path: path to filesystem object to retrieve.\n dir_fd: If not `None`, the file descriptor of a directory, with `entry_path`\n being relative to this directory.\n New in Python 3.3. New in pyfakefs 3.3.\n\n Returns:\n the FakeStatResult object corresponding to `entry_path`.\n\n Raises:\n OSError: if the filesystem object doesn't exist.\n " # line: 3575 entry_path = self._path_with_dir_fd(entry_path, self.lstat, dir_fd) # line: 3576 return self.filesystem.GetStat(entry_path, follow_symlinks=False) # line: 3578 def remove(self, path, dir_fd=None): # line: 3591 'Remove the FakeFile object at the specified file path.\n\n Args:\n path: Path to file to be removed.\n dir_fd: If not `None`, the file descriptor of a directory,\n with `path` being relative to this directory.\n New in Python 3.3. New in pyfakefs 3.3.\n\n Raises:\n OSError: if path points to a directory.\n OSError: if path does not exist.\n OSError: if removal failed.\n ' # line: 3592 path = self._path_with_dir_fd(path, self.remove, dir_fd) # line: 3593 self.filesystem.RemoveFile(path) # line: 3595 def unlink(self, path, dir_fd=None): # line: 3608 'Remove the FakeFile object at the specified file path.\n\n Args:\n path: Path to file to be removed.\n dir_fd: If not `None`, the file descriptor of a directory,\n with `path` being relative to this directory.\n New in Python 3.3. New in pyfakefs 3.3.\n\n Raises:\n OSError: if path points to a directory.\n OSError: if path does not exist.\n OSError: if removal failed.\n ' # line: 3609 path = self._path_with_dir_fd(path, self.unlink, dir_fd) # line: 3610 self.filesystem.RemoveFile(path) # line: 3612 def rename(self, old_file_path, new_file_path, dir_fd=None): # line: 3631 'Rename a FakeFile object at old_file_path to new_file_path,\n preserving all properties.\n Also replaces existing new_file_path object, if one existed (Unix only).\n\n Args:\n old_file_path: Path to filesystem object to rename.\n new_file_path: Path to where the filesystem object will live after this call.\n dir_fd: If not `None`, the file descriptor of a directory,\n with `old_file_path` being relative to this directory.\n New in Python 3.3. New in pyfakefs 3.3.\n\n Raises:\n OSError: if old_file_path does not exist.\n OSError: if new_file_path is an existing directory.\n OSError: if new_file_path is an existing file (Windows only)\n OSError: if new_file_path is an existing file and could not be removed (Unix)\n OSError: if `dirname(new_file)` does not exist\n OSError: if the file would be moved to another filesystem (e.g. mount point)\n ' # line: 3632 old_file_path = self._path_with_dir_fd(old_file_path, self.rename, dir_fd) # line: 3633 self.filesystem.RenameObject(old_file_path, new_file_path) # line: 3635 if (sys.version_info >= (3, 3)): # line: 3636 def replace(self, old_file_path, new_file_path): # line: 3652 'Renames a FakeFile object at old_file_path to new_file_path,\n preserving all properties.\n Also replaces existing new_file_path object, if one existed.\n New in pyfakefs 3.0.\n\n Args:\n old_file_path: path to filesystem object to rename\n new_file_path: path to where the filesystem object will live after this call\n\n Raises:\n OSError: if old_file_path does not exist.\n OSError: if new_file_path is an existing directory.\n OSError: if new_file_path is an existing file and could not be removed\n OSError: if `dirname(new_file)` does not exist\n OSError: if the file would be moved to another filesystem (e.g. mount point)\n ' # line: 3653 self.filesystem.RenameObject(old_file_path, new_file_path, force_replace=True) # line: 3655 def rmdir(self, target_directory, dir_fd=None): # line: 3667 "Remove a leaf Fake directory.\n\n Args:\n target_directory: (str) Name of directory to remove.\n dir_fd: If not `None`, the file descriptor of a directory,\n with `target_directory` being relative to this directory.\n New in Python 3.3. New in pyfakefs 3.3.\n\n Raises:\n OSError: if target_directory does not exist or is not a directory,\n or as per FakeFilesystem.RemoveObject. Cannot remove '.'.\n " # line: 3668 target_directory = self._path_with_dir_fd(target_directory, self.rmdir, dir_fd) # line: 3669 self.filesystem.RemoveDirectory(target_directory) # line: 3671 def removedirs(self, target_directory): # line: 3680 'Remove a leaf fake directory and all empty intermediate ones.\n\n Args:\n target_directory: the directory to be removed.\n\n Raises:\n OSError: if target_directory does not exist or is not a directory.\n OSError: if target_directory is not empty.\n ' # line: 3681 target_directory = self.filesystem.NormalizePath(target_directory) # line: 3682 directory = self.filesystem.ConfirmDir(target_directory) # line: 3683 if directory.contents: # line: 3684 raise OSError(errno.ENOTEMPTY, 'Fake Directory not empty', self.path.basename(target_directory)) else: # line: 3687 self.rmdir(target_directory) # line: 3688 (head, tail) = self.path.split(target_directory) # line: 3689 if (not tail): # line: 3690 (head, tail) = self.path.split(head) # line: 3691 while (head and tail): # line: 3692 head_dir = self.filesystem.ConfirmDir(head) # line: 3693 if head_dir.contents: # line: 3694 break # line: 3696 self.filesystem.RemoveDirectory(head, allow_symlink=True) # line: 3697 (head, tail) = self.path.split(head) # line: 3699 def mkdir(self, dir_name, mode=PERM_DEF, dir_fd=None): # line: 3714 "Create a leaf Fake directory.\n\n Args:\n dir_name: (str) Name of directory to create.\n Relative paths are assumed to be relative to '/'.\n mode: (int) Mode to create directory with. This argument defaults to\n 0o777. The umask is applied to this mode.\n dir_fd: If not `None`, the file descriptor of a directory,\n with `dir_name` being relative to this directory.\n New in Python 3.3. New in pyfakefs 3.3.\n\n Raises:\n OSError: if the directory name is invalid or parent directory is read only\n or as per FakeFilesystem.AddObject.\n " # line: 3715 dir_name = self._path_with_dir_fd(dir_name, self.mkdir, dir_fd) # line: 3716 self.filesystem.MakeDirectory(dir_name, mode) # line: 3718 def makedirs(self, dir_name, mode=PERM_DEF, exist_ok=None): # line: 3733 'Create a leaf Fake directory + create any non-existent parent dirs.\n\n Args:\n dir_name: (str) Name of directory to create.\n mode: (int) Mode to create directory (and any necessary parent\n directories) with. This argument defaults to 0o777. The umask is\n applied to this mode.\n exist_ok: (boolean) If exist_ok is False (the default), an OSError is\n raised if the target directory already exists. New in Python 3.2.\n New in pyfakefs 2.9.\n\n Raises:\n OSError: if the directory already exists and exist_ok=False, or as per\n `FakeFilesystem.CreateDirectory()`.\n ' # line: 3734 if (exist_ok is None): # line: 3735 exist_ok = False elif (sys.version_info < (3, 2)): # line: 3737 raise TypeError("makedir() got an unexpected keyword argument 'exist_ok'") # line: 3738 self.filesystem.MakeDirectories(dir_name, mode, exist_ok) # line: 3740 def _path_with_dir_fd(self, path, fct, dir_fd): # line: 3741 'Return the path considering dir_fd. Raise on nmvalid parameters.' # line: 3742 if (dir_fd is not None): # line: 3743 if (sys.version_info < (3, 3)): # line: 3744 raise TypeError(("%s() got an unexpected keyword argument 'dir_fd'" % fct.__name__)) # line: 3747 real_fct = getattr(os, fct.__name__) # line: 3748 if (real_fct not in self.supports_dir_fd): # line: 3749 raise NotImplementedError('dir_fd unavailable on this platform') # line: 3750 if isinstance(path, int): # line: 3751 raise ValueError(("%s: Can't specify dir_fd without matching path" % fct.__name__)) # line: 3753 if (not self.path.isabs(path)): # line: 3754 return self.path.join(self.filesystem.GetOpenFile(dir_fd).GetObject().GetPath(), path) # line: 3756 return path # line: 3758 def access(self, path, mode, dir_fd=None, follow_symlinks=None): # line: 3774 'Check if a file exists and has the specified permissions.\n\n Args:\n path: (str) Path to the file.\n mode: (int) Permissions represented as a bitwise-OR combination of\n os.F_OK, os.R_OK, os.W_OK, and os.X_OK.\n dir_fd: If not `None`, the file descriptor of a directory, with `path`\n being relative to this directory.\n New in Python 3.3. New in pyfakefs 3.3.\n follow_symlinks: (bool) If `False` and `path` points to a symlink,\n the link itself is queried instead of the linked object.\n New in Python 3.3. New in pyfakefs 3.0.\n\n Returns:\n bool, `True` if file is accessible, `False` otherwise.\n ' # line: 3775 if ((follow_symlinks is not None) and (sys.version_info < (3, 3))): # line: 3776 raise TypeError("access() got an unexpected keyword argument 'follow_symlinks'") # line: 3777 path = self._path_with_dir_fd(path, self.access, dir_fd) # line: 3778 try: # line: 3779 stat_result = self.stat(path, follow_symlinks=follow_symlinks) # line: 3780 except OSError as os_error: # line: 3781 if (os_error.errno == errno.ENOENT): # line: 3782 return False # line: 3783 raise # line: 3784 return ((mode & ((stat_result.st_mode >> 6) & 7)) == mode) # line: 3786 def chmod(self, path, mode, dir_fd=None, follow_symlinks=None): # line: 3798 'Change the permissions of a file as encoded in integer mode.\n\n Args:\n path: (str) Path to the file.\n mode: (int) Permissions.\n dir_fd: If not `None`, the file descriptor of a directory, with `path`\n being relative to this directory.\n New in Python 3.3. New in pyfakefs 3.3.\n follow_symlinks: (bool) If `False` and `path` points to a symlink,\n the link itself is queried instead of the linked object.\n New in Python 3.3. New in pyfakefs 3.0.\n ' # line: 3799 if (follow_symlinks is None): # line: 3800 follow_symlinks = True elif (sys.version_info < (3, 3)): # line: 3802 raise TypeError("chmod() got an unexpected keyword argument 'follow_symlinks'") # line: 3803 path = self._path_with_dir_fd(path, self.chmod, dir_fd) # line: 3804 self.filesystem.ChangeMode(path, mode, follow_symlinks) # line: 3806 def lchmod(self, path, mode): # line: 3813 'Change the permissions of a file as encoded in integer mode.\n If the file is a link, the permissions of the link are changed.\n\n Args:\n path: (str) Path to the file.\n mode: (int) Permissions.\n ' # line: 3814 if self.filesystem.is_windows_fs: # line: 3815 raise (NameError, "name 'lchmod' is not defined") # line: 3816 self.filesystem.ChangeMode(path, mode, follow_symlinks=False) # line: 3818 def utime(self, path, times=None, ns=None, dir_fd=None, follow_symlinks=None): # line: 3842 'Change the access and modified times of a file.\n\n Args:\n path: (str) Path to the file.\n times: 2-tuple of int or float numbers, of the form (atime, mtime) \n which is used to set the access and modified times in seconds. \n If None, both times are set to the current time.\n ns: 2-tuple of int numbers, of the form (atime, mtime) which is \n used to set the access and modified times in nanoseconds. \n If None, both times are set to the current time.\n New in Python 3.3. New in pyfakefs 3.3.\n dir_fd: If not `None`, the file descriptor of a directory, with `path`\n being relative to this directory.\n New in Python 3.3. New in pyfakefs 3.3.\n follow_symlinks: (bool) If `False` and `path` points to a symlink,\n the link itself is queried instead of the linked object.\n New in Python 3.3. New in pyfakefs 3.0.\n \n Raises:\n TypeError: If anything other than the expected types is \n specified in the passed `times` or `ns` tuple, \n or if the tuple length is not equal to 2.\n ValueError: If both times and ns are specified.\n ' # line: 3843 if (follow_symlinks is None): # line: 3844 follow_symlinks = True elif (sys.version_info < (3, 3)): # line: 3846 raise TypeError("utime() got an unexpected keyword argument 'follow_symlinks'") # line: 3847 path = self._path_with_dir_fd(path, self.utime, dir_fd) # line: 3848 if ((ns is not None) and (sys.version_info < (3, 3))): # line: 3849 raise TypeError("utime() got an unexpected keyword argument 'ns'") # line: 3851 self.filesystem.UpdateTime(path, times, ns, follow_symlinks) # line: 3853 def chown(self, path, uid, gid, dir_fd=None, follow_symlinks=None): # line: 3872 'Set ownership of a faked file.\n\n Args:\n path: (str) Path to the file or directory.\n uid: (int) Numeric uid to set the file or directory to.\n gid: (int) Numeric gid to set the file or directory to.\n dir_fd: (int) If not `None`, the file descriptor of a directory,\n with `path` being relative to this directory.\n New in Python 3.3. New in pyfakefs 3.3.\n follow_symlinks: (bool) If `False` and path points to a symlink,\n the link itself is changed instead of the linked object.\n New in Python 3.3. New in pyfakefs 3.0.\n\n Raises:\n OSError: if path does not exist.\n\n `None` is also allowed for `uid` and `gid`. This permits `os.rename` to\n use `os.chown` even when the source file `uid` and `gid` are `None` (unset).\n ' # line: 3873 if (follow_symlinks is None): # line: 3874 follow_symlinks = True elif (sys.version_info < (3, 3)): # line: 3876 raise TypeError("chown() got an unexpected keyword argument 'follow_symlinks'") # line: 3877 path = self._path_with_dir_fd(path, self.chown, dir_fd) # line: 3878 try: # line: 3879 file_object = self.filesystem.ResolveObject(path, follow_symlinks, allow_fd=True) # line: 3880 except IOError as io_error: # line: 3881 if (io_error.errno == errno.ENOENT): # line: 3882 raise OSError(errno.ENOENT, 'No such file or directory in fake filesystem', path) # line: 3885 raise # line: 3886 if (not ((isinstance(uid, int) or (uid is None)) and (isinstance(gid, int) or (gid is None)))): # line: 3888 raise TypeError('An integer is required') # line: 3889 if (uid != (-1)): # line: 3890 file_object.st_uid = uid # line: 3891 if (gid != (-1)): # line: 3892 file_object.st_gid = gid # line: 3894 def mknod(self, filename, mode=None, device=None, dir_fd=None): # line: 3914 "Create a filesystem node named 'filename'.\n\n Does not support device special files or named pipes as the real os\n module does.\n\n Args:\n filename: (str) Name of the file to create\n mode: (int) Permissions to use and type of file to be created.\n Default permissions are 0o666. Only the stat.S_IFREG file type\n is supported by the fake implementation. The umask is applied\n to this mode.\n device: not supported in fake implementation\n dir_fd: If not `None`, the file descriptor of a directory,\n with `filename` being relative to this directory.\n New in Python 3.3. New in pyfakefs 3.3.\n\n Raises:\n OSError: if called with unsupported options or the file can not be\n created.\n " # line: 3915 if self.filesystem.is_windows_fs: # line: 3916 raise (AttributeError, "module 'os' has no attribute 'mknode'") # line: 3917 if (mode is None): # line: 3918 mode = (stat.S_IFREG | PERM_DEF_FILE) # line: 3919 if (device or (not (mode & stat.S_IFREG))): # line: 3920 raise OSError(errno.ENOENT, 'Fake os mknod implementation only supports regular files.') # line: 3924 filename = self._path_with_dir_fd(filename, self.mknod, dir_fd) # line: 3925 (head, tail) = self.path.split(filename) # line: 3926 if (not tail): # line: 3927 if self.filesystem.Exists(head): # line: 3928 raise OSError(errno.EEXIST, ('Fake filesystem: %s: %s' % (os.strerror(errno.EEXIST), filename))) # line: 3930 raise OSError(errno.ENOENT, ('Fake filesystem: %s: %s' % (os.strerror(errno.ENOENT), filename))) # line: 3932 if (tail in ('.', u'.', '..', u'..')): # line: 3933 raise OSError(errno.ENOENT, ('Fake fileystem: %s: %s' % (os.strerror(errno.ENOENT), filename))) # line: 3935 if self.filesystem.Exists(filename): # line: 3936 raise OSError(errno.EEXIST, ('Fake fileystem: %s: %s' % (os.strerror(errno.EEXIST), filename))) # line: 3938 try: # line: 3939 self.filesystem.AddObject(head, FakeFile(tail, (mode & (~ self.filesystem.umask)), filesystem=self.filesystem)) # line: 3942 except IOError as e: # line: 3943 raise OSError(e.errno, ('Fake filesystem: %s: %s' % (os.strerror(e.errno), filename))) # line: 3946 def symlink(self, link_target, path, dir_fd=None): # line: 3958 'Creates the specified symlink, pointed at the specified link target.\n\n Args:\n link_target: The target of the symlink.\n path: Path to the symlink to create.\n dir_fd: If not `None`, the file descriptor of a directory,\n with `link_target` being relative to this directory.\n New in Python 3.3. New in pyfakefs 3.3.\n\n Raises:\n OSError: if the file already exists.\n ' # line: 3959 link_target = self._path_with_dir_fd(link_target, self.symlink, dir_fd) # line: 3960 self.filesystem.CreateLink(path, link_target, create_missing_dirs=False) # line: 3962 def link(self, oldpath, newpath, dir_fd=None): # line: 3980 "Create a hard link at new_path, pointing at old_path.\n New in pyfakefs 2.9.\n\n Args:\n old_path: An existing link to the target file.\n new_path: The destination path to create a new link at.\n dir_fd: If not `None`, the file descriptor of a directory, with `oldpath`\n being relative to this directory.\n New in Python 3.3. New in pyfakefs 3.3.\n\n Returns:\n the FakeFile object referred to by `oldpath`.\n\n Raises:\n OSError: if something already exists at new_path.\n OSError: if the parent directory doesn't exist.\n OSError: if on Windows before Python 3.2.\n " # line: 3981 oldpath = self._path_with_dir_fd(oldpath, self.link, dir_fd) # line: 3982 self.filesystem.CreateHardLink(oldpath, newpath) # line: 3984 def fsync(self, file_des): # line: 3994 'Perform fsync for a fake file (in other words, do nothing).\n New in pyfakefs 2.9.\n\n Args:\n file_des: file descriptor of the open file.\n\n Raises:\n OSError: file_des is an invalid file descriptor.\n TypeError: file_des is not an integer.\n ' # line: 3996 self.filesystem.GetOpenFile(file_des) # line: 3998 def fdatasync(self, file_des): # line: 4008 'Perform fdatasync for a fake file (in other words, do nothing).\n New in pyfakefs 2.9.\n\n Args:\n file_des: file descriptor of the open file.\n\n Raises:\n OSError: file_des is an invalid file descriptor.\n TypeError: file_des is not an integer.\n ' # line: 4010 self.filesystem.GetOpenFile(file_des) # line: 4012 def __getattr__(self, name): # line: 4013 'Forwards any unfaked calls to the standard os module.' # line: 4014 return getattr(self._os_module, name) # line: 4017 class FakeIoModule(object): # line: 4026 'Uses FakeFilesystem to provide a fake io module replacement.\n New in pyfakefs 2.9.\n\n Currently only used to wrap `io.open()` which is an alias to `open()`.\n\n You need a fake_filesystem to use this:\n filesystem = fake_filesystem.FakeFilesystem()\n my_io_module = fake_filesystem.FakeIoModule(filesystem)\n ' # line: 4028 def __init__(self, filesystem): # line: 4032 '\n Args:\n filesystem: FakeFilesystem used to provide file system information\n ' # line: 4033 self.filesystem = filesystem # line: 4034 self._io_module = io # line: 4036 def open(self, file_path, mode='r', buffering=(-1), encoding=None, errors=None, newline=None, closefd=True, opener=None): # line: 4040 'Redirect the call to FakeFileOpen.\n See FakeFileOpen.Call() for description.\n ' # line: 4041 if ((opener is not None) and (sys.version_info < (3, 3))): # line: 4042 raise TypeError("open() got an unexpected keyword argument 'opener'") # line: 4043 fake_open = FakeFileOpen(self.filesystem, use_io=True) # line: 4044 return fake_open(file_path, mode, buffering, encoding, errors, newline, closefd, opener) # line: 4046 def __getattr__(self, name): # line: 4047 'Forwards any unfaked calls to the standard io module.' # line: 4048 return getattr(self._io_module, name) # line: 4051 class FakeFileWrapper(object): # line: 4056 'Wrapper for a stream object for use by a FakeFile object.\n\n If the wrapper has any data written to it, it will propagate to\n the FakeFile object on close() or flush().\n ' # line: 4057 def __init__(self, file_object, file_path, update=False, read=False, append=False, delete_on_close=False, filesystem=None, newline=None, binary=True, closefd=True, encoding=None, errors=None, raw_io=False, is_stream=False, use_io=True): # line: 4061 self._file_object = file_object # line: 4062 self._file_path = file_path # line: 4063 self._append = append # line: 4064 self._read = read # line: 4065 self.allow_update = update # line: 4066 self._closefd = closefd # line: 4067 self._file_epoch = file_object.epoch # line: 4068 self.raw_io = raw_io # line: 4069 self._binary = binary # line: 4070 self.is_stream = is_stream # line: 4071 contents = file_object.byte_contents # line: 4072 self._encoding = encoding # line: 4073 errors = (errors or 'strict') # line: 4074 if encoding: # line: 4075 file_wrapper = FakeFileWrapper(file_object, file_path, update, read, append, delete_on_close=False, filesystem=filesystem, newline=None, binary=True, closefd=closefd, is_stream=True) # line: 4079 codec_info = codecs.lookup(encoding) # line: 4080 self._io = codecs.StreamReaderWriter(file_wrapper, codec_info.streamreader, codec_info.streamwriter, errors) else: # line: 4083 if ((not binary) and (sys.version_info >= (3, 0))): # line: 4084 io_class = io.StringIO else: # line: 4086 io_class = io.BytesIO # line: 4087 io_args = ({} if binary else {'newline': newline, }) # line: 4088 if (contents and (not binary)): # line: 4089 contents = contents.decode((encoding or locale.getpreferredencoding(False)), errors=errors) # line: 4091 if (contents and (not update)): # line: 4092 self._io = io_class(contents, **io_args) else: # line: 4094 self._io = io_class(**io_args) # line: 4096 if contents: # line: 4097 if update: # line: 4098 if (not encoding): # line: 4099 self._io.write(contents) # line: 4100 if (not append): # line: 4101 self._io.seek(0) else: # line: 4103 self._read_whence = 0 # line: 4104 if (read and (not use_io)): # line: 4105 self._read_seek = 0 else: # line: 4107 self._read_seek = self._io.tell() else: # line: 4109 self._read_whence = 0 # line: 4110 self._read_seek = 0 # line: 4112 if delete_on_close: # line: 4113 assert filesystem, 'delete_on_close=True requires filesystem' # line: 4114 self._filesystem = filesystem # line: 4115 self.delete_on_close = delete_on_close # line: 4118 self.name = file_object.opened_as # line: 4119 self.filedes = None # line: 4121 def __enter__(self): # line: 4122 "To support usage of this fake file with the 'with' statement." # line: 4123 return self # line: 4125 def __exit__(self, type, value, traceback): # line: 4126 "To support usage of this fake file with the 'with' statement." # line: 4127 self.close() # line: 4129 def _raise(self, message): # line: 4130 if self.raw_io: # line: 4131 raise OSError(errno.EBADF, message) # line: 4132 if (sys.version_info < (3, 0)): # line: 4133 raise IOError(message) # line: 4134 raise io.UnsupportedOperation(message) # line: 4136 def GetObject(self): # line: 4137 'Return the FakeFile object that is wrapped by the current instance.' # line: 4138 return self._file_object # line: 4140 def fileno(self): # line: 4141 'Return the file descriptor of the file object.' # line: 4142 return self.filedes # line: 4144 def close(self): # line: 4145 'Close the file.' # line: 4147 if (self not in self._filesystem.open_files): # line: 4148 return # line: 4150 if (self.allow_update and (not self.raw_io)): # line: 4151 self._file_object.SetContents(self._io.getvalue(), self._encoding) # line: 4152 if self._closefd: # line: 4153 self._filesystem.CloseOpenFile(self.filedes) # line: 4154 if self.delete_on_close: # line: 4155 self._filesystem.RemoveObject(self.GetObject().GetPath()) # line: 4157 def flush(self): # line: 4158 "Flush file contents to 'disk'." # line: 4159 self._check_open_file() # line: 4160 if self.allow_update: # line: 4161 self._io.flush() # line: 4162 self._file_object.SetContents(self._io.getvalue(), self._encoding) # line: 4163 self._file_epoch = self._file_object.epoch # line: 4165 def seek(self, offset, whence=0): # line: 4166 "Move read/write pointer in 'file'." # line: 4167 self._check_open_file() # line: 4168 if (not self._append): # line: 4169 self._io.seek(offset, whence) else: # line: 4171 self._read_seek = offset # line: 4172 self._read_whence = whence # line: 4173 if (not self.is_stream): # line: 4174 self.flush() # line: 4176 def tell(self): # line: 4181 "Return the file's current position.\n\n Returns:\n int, file's current position in bytes.\n " # line: 4182 self._check_open_file() # line: 4183 self._flush_for_read() # line: 4184 if (not self._append): # line: 4185 return self._io.tell() # line: 4186 if self._read_whence: # line: 4187 write_seek = self._io.tell() # line: 4188 self._io.seek(self._read_seek, self._read_whence) # line: 4189 self._read_seek = self._io.tell() # line: 4190 self._read_whence = 0 # line: 4191 self._io.seek(write_seek) # line: 4192 return self._read_seek # line: 4194 def _flush_for_read(self): # line: 4196 if self._flushes_after_read(): # line: 4197 self.flush() # line: 4199 def _flushes_after_read(self): # line: 4200 return ((not self.is_stream) and ((not self._filesystem.is_windows_fs) or (sys.version_info[0] > 2))) # line: 4204 def _sync_io(self): # line: 4205 'Update the stream with changes to the file object contents.' # line: 4206 if (self._file_epoch == self._file_object.epoch): # line: 4207 return # line: 4209 if isinstance(self._io, io.BytesIO): # line: 4210 contents = self._file_object.byte_contents else: # line: 4212 contents = self._file_object.contents # line: 4214 is_stream_reader_writer = isinstance(self._io, codecs.StreamReaderWriter) # line: 4215 if is_stream_reader_writer: # line: 4216 self._io.stream.allow_update = True # line: 4217 whence = self._io.tell() # line: 4218 self._io.seek(0) # line: 4219 self._io.truncate() # line: 4220 self._io.write(contents) # line: 4221 if self._append: # line: 4222 self._io.seek(0, os.SEEK_END) else: # line: 4224 self._io.seek(whence) # line: 4226 if is_stream_reader_writer: # line: 4227 self._io.stream.allow_update = False # line: 4228 self._file_epoch = self._file_object.epoch # line: 4230 def _ReadWrapper(self, name): # line: 4241 'Wrap a stream attribute in a read wrapper.\n\n Returns a read_wrapper which tracks our own read pointer since the\n stream object has no concept of a different read and write pointer.\n\n Args:\n name: the name of the attribute to wrap. Should be a read call.\n\n Returns:\n either a read_error or read_wrapper function.\n ' # line: 4242 io_attr = getattr(self._io, name) # line: 4244 def read_wrapper(*args, **kwargs): # line: 4256 "Wrap all read calls to the stream object.\n\n We do this to track the read pointer separate from the write\n pointer. Anything that wants to read from the stream object\n while we're in append mode goes through this.\n\n Args:\n *args: pass through args\n **kwargs: pass through kwargs\n Returns:\n Wrapped stream object method\n " # line: 4257 self._io.seek(self._read_seek, self._read_whence) # line: 4258 ret_value = io_attr(*args, **kwargs) # line: 4259 self._read_seek = self._io.tell() # line: 4260 self._read_whence = 0 # line: 4261 self._io.seek(0, 2) # line: 4262 return ret_value # line: 4264 return read_wrapper # line: 4266 def _OtherWrapper(self, name, writing): # line: 4274 'Wrap a stream attribute in an other_wrapper.\n\n Args:\n name: the name of the stream attribute to wrap.\n\n Returns:\n other_wrapper which is described below.\n ' # line: 4275 io_attr = getattr(self._io, name) # line: 4277 def other_wrapper(*args, **kwargs): # line: 4289 'Wrap all other calls to the stream Object.\n\n We do this to track changes to the write pointer. Anything that\n moves the write pointer in a file open for appending should move\n the read pointer as well.\n\n Args:\n *args: pass through args\n **kwargs: pass through kwargs\n Returns:\n Wrapped stream object method\n ' # line: 4290 write_seek = self._io.tell() # line: 4291 ret_value = io_attr(*args, **kwargs) # line: 4292 if (write_seek != self._io.tell()): # line: 4293 self._read_seek = self._io.tell() # line: 4294 self._read_whence = 0 # line: 4295 if ((not writing) or (sys.version_info >= (3,))): # line: 4296 return ret_value # line: 4298 return other_wrapper # line: 4300 def _TruncateWrapper(self): # line: 4305 'Wrap truncate() to allow flush after truncate.\n\n Returns:\n wrapper which is described below.\n ' # line: 4306 io_attr = getattr(self._io, 'truncate') # line: 4308 def truncate_wrapper(*args, **kwargs): # line: 4309 'Wrap truncate call to call flush after truncate.' # line: 4310 if self._append: # line: 4311 self._io.seek(self._read_seek, self._read_whence) # line: 4312 size = io_attr(*args, **kwargs) # line: 4313 self.flush() # line: 4314 if (not self.is_stream): # line: 4315 self._file_object.SetSize(size) # line: 4316 buffer_size = len(self._io.getvalue()) # line: 4317 if (buffer_size < size): # line: 4318 self._io.seek(buffer_size) # line: 4319 self._io.write(('\x00' * (size - buffer_size))) # line: 4320 self._file_object.SetContents(self._io.getvalue(), self._encoding) # line: 4321 if (sys.version_info >= (3,)): # line: 4322 return size # line: 4324 return truncate_wrapper # line: 4326 def _WriteWrapper(self, name): # line: 4331 'Wrap write() to adapt return value for Python 2.\n\n Returns:\n wrapper which is described below.\n ' # line: 4332 io_attr = getattr(self._io, name) # line: 4334 def write_wrapper(*args, **kwargs): # line: 4335 'Wrap trunctae call to call flush after truncate.' # line: 4336 ret_value = io_attr(*args, **kwargs) # line: 4337 if (sys.version_info >= (3,)): # line: 4338 return ret_value # line: 4340 return write_wrapper # line: 4342 def Size(self): # line: 4343 'Return the content size in bytes of the wrapped file.' # line: 4344 return self._file_object.st_size # line: 4346 def __getattr__(self, name): # line: 4347 if self._file_object.IsLargeFile(): # line: 4348 raise FakeLargeFileIoException(self._file_path) # line: 4350 reading = (name.startswith('read') or (name == 'next')) # line: 4351 truncate = (name == 'truncate') # line: 4352 writing = (name.startswith('write') or truncate) # line: 4353 if (reading or writing): # line: 4354 self._check_open_file() # line: 4355 if ((not self._read) and reading): # line: 4356 def read_error(*args, **kwargs): # line: 4357 'Throw an error unless the argument is zero.' # line: 4358 if (args and (args[0] == 0)): # line: 4359 if (self._filesystem.is_windows_fs and self.raw_io): # line: 4360 return ('' if self._binary else u'') # line: 4361 self._raise('File is not open for reading.') # line: 4363 return read_error # line: 4365 if ((not self.allow_update) and writing): # line: 4366 def write_error(*args, **kwargs): # line: 4367 'Throw an error.' # line: 4368 if self.raw_io: # line: 4369 if (self._filesystem.is_windows_fs and args and (len(args[0]) == 0)): # line: 4370 return 0 # line: 4371 self._raise('File is not open for writing.') # line: 4373 return write_error # line: 4375 if reading: # line: 4376 self._sync_io() # line: 4377 self._flush_for_read() # line: 4378 if truncate: # line: 4379 return self._TruncateWrapper() # line: 4380 if self._append: # line: 4381 if reading: # line: 4382 return self._ReadWrapper(name) else: # line: 4384 return self._OtherWrapper(name, writing) # line: 4385 if writing: # line: 4386 return self._WriteWrapper(name) # line: 4388 return getattr(self._io, name) # line: 4390 def _check_open_file(self): # line: 4391 if ((not self.is_stream) and (not (self in self._filesystem.open_files))): # line: 4392 raise ValueError('I/O operation on closed file') # line: 4394 def __iter__(self): # line: 4395 if (not self._read): # line: 4396 self._raise('File is not open for reading') # line: 4397 return self._io.__iter__() # line: 4400 class FakeDirWrapper(object): # line: 4402 'Wrapper for a FakeDirectory object to be used in open files list.\n ' # line: 4403 def __init__(self, file_object, file_path, filesystem): # line: 4404 self._file_object = file_object # line: 4405 self._file_path = file_path # line: 4406 self._filesystem = filesystem # line: 4407 self.filedes = None # line: 4409 def GetObject(self): # line: 4410 'Return the FakeFile object that is wrapped by the current instance.' # line: 4411 return self._file_object # line: 4413 def fileno(self): # line: 4414 'Return the file descriptor of the file object.' # line: 4415 return self.filedes # line: 4417 def close(self): # line: 4418 'Close the directory.' # line: 4419 self._filesystem.CloseOpenFile(self.filedes) # line: 4422 class FakeFileOpen(object): # line: 4427 'Faked `file()` and `open()` function replacements.\n\n Returns FakeFile objects in a FakeFilesystem in place of the `file()`\n or `open()` function.\n ' # line: 4428 __name__ = 'FakeFileOpen' # line: 4430 def __init__(self, filesystem, delete_on_close=False, use_io=False, raw_io=False): # line: 4438 'init.\n\n Args:\n filesystem: FakeFilesystem used to provide file system information\n delete_on_close: optional boolean, deletes file on close()\n use_io: if True, the io.open() version is used (ignored for Python 3,\n where io.open() is an alias to open() )\n ' # line: 4439 self.filesystem = filesystem # line: 4440 self._delete_on_close = delete_on_close # line: 4441 self._use_io = (use_io or (sys.version_info >= (3, 0)) or (platform.python_implementation() == 'PyPy')) # line: 4443 self.raw_io = raw_io # line: 4445 def __call__(self, *args, **kwargs): # line: 4446 'Redirects calls to file() or open() to appropriate method.' # line: 4447 if self._use_io: # line: 4448 return self.Call(*args, **kwargs) else: # line: 4450 return self._call_ver2(*args, **kwargs) # line: 4452 def _call_ver2(self, file_path, mode='r', buffering=(-1), flags=None, open_modes=None): # line: 4453 'Limits args of open() or file() for Python 2.x versions.' # line: 4455 mode = (flags or mode) # line: 4456 return self.Call(file_path, mode, buffering, open_modes=open_modes) # line: 4458 def Call(self, file_, mode='r', buffering=(-1), encoding=None, errors=None, newline=None, closefd=True, opener=None, open_modes=None): # line: 4484 "Return a file-like object with the contents of the target file object.\n\n Args:\n file_: path to target file or a file descriptor.\n mode: additional file modes. All r/w/a/x r+/w+/a+ modes are supported.\n 't', and 'U' are ignored, e.g., 'wU' is treated as 'w'. 'b' sets\n binary mode, no end of line translations in StringIO.\n buffering: ignored. (Used for signature compliance with __builtin__.open)\n encoding: the encoding used to encode unicode strings / decode bytes.\n New in pyfakefs 2.9.\n errors: ignored, this relates to encoding.\n newline: controls universal newlines, passed to stream object.\n closefd: if a file descriptor rather than file name is passed, and set\n to false, then the file descriptor is kept open when file is closed.\n opener: not supported.\n open_modes: Modes for opening files if called from low-level API\n\n Returns:\n a file-like object containing the contents of the target file.\n\n Raises:\n IOError: if the target object is a directory, the path is invalid or\n permission is denied.\n " # line: 4485 orig_modes = mode # line: 4487 binary = ((sys.version_info < (3, 0)) or ('b' in mode)) # line: 4489 mode = mode.replace('t', '').replace('b', '') # line: 4490 mode = mode.replace('rU', 'r').replace('U', 'r') # line: 4492 if (not self.raw_io): # line: 4493 if (mode not in _OPEN_MODE_MAP): # line: 4494 raise ValueError(('Invalid mode: %r' % orig_modes)) # line: 4495 open_modes = _OpenModes(*_OPEN_MODE_MAP[mode]) # line: 4497 file_object = None # line: 4498 filedes = None # line: 4500 if isinstance(file_, int): # line: 4501 filedes = file_ # line: 4502 wrapper = self.filesystem.GetOpenFile(filedes) # line: 4503 self._delete_on_close = wrapper.delete_on_close # line: 4504 file_object = self.filesystem.GetOpenFile(filedes).GetObject() # line: 4505 file_path = file_object.name else: # line: 4507 file_path = file_ # line: 4508 real_path = self.filesystem.ResolvePath(file_path, raw_io=self.raw_io) # line: 4509 if self.filesystem.Exists(file_path): # line: 4510 file_object = self.filesystem.GetObjectFromNormalizedPath(real_path) # line: 4511 closefd = True # line: 4513 error_class = (OSError if self.raw_io else IOError) # line: 4514 if (open_modes.must_not_exist and (file_object or self.filesystem.IsLink(file_path))): # line: 4515 raise error_class(errno.EEXIST, 'File exists', file_path) # line: 4516 if file_object: # line: 4517 if ((open_modes.can_read and (not (file_object.st_mode & PERM_READ))) or (open_modes.can_write and (not (file_object.st_mode & PERM_WRITE)))): # line: 4519 raise error_class(errno.EACCES, 'Permission denied', file_path) # line: 4520 if open_modes.can_write: # line: 4521 if open_modes.truncate: # line: 4522 file_object.SetContents('') else: # line: 4524 if open_modes.must_exist: # line: 4525 raise error_class(errno.ENOENT, 'No such file or directory', file_path) # line: 4526 file_object = self.filesystem.CreateFileInternally(real_path, create_missing_dirs=False, apply_umask=True, raw_io=self.raw_io) # line: 4529 if stat.S_ISDIR(file_object.st_mode): # line: 4530 if self.filesystem.is_windows_fs: # line: 4531 raise OSError(errno.EPERM, 'Fake file object: is a directory', file_path) else: # line: 4533 raise error_class(errno.EISDIR, 'Fake file object: is a directory', file_path) # line: 4537 file_object.opened_as = file_path # line: 4539 fakefile = FakeFileWrapper(file_object, file_path, update=open_modes.can_write, read=open_modes.can_read, append=open_modes.append, delete_on_close=self._delete_on_close, filesystem=self.filesystem, newline=newline, binary=binary, closefd=closefd, encoding=encoding, errors=errors, raw_io=self.raw_io, use_io=self._use_io) # line: 4553 if (filedes is not None): # line: 4554 fakefile.filedes = filedes # line: 4556 self.filesystem.open_files[filedes] = fakefile else: # line: 4558 fakefile.filedes = self.filesystem.AddOpenFile(fakefile) # line: 4559 return fakefile # line: 4562 def _RunDoctest(): # line: 4563 import doctest # line: 4564 from pyfakefs import fake_filesystem # line: 4565 return doctest.testmod(fake_filesystem) # line: 4568 if (__name__ == '__main__'): # line: 4569 _RunDoctest()

[ "[email protected]" ]

[email protected]

7429637b3d1eff61bac629cdaf2031d9d72d1832

a29c6e83ae4f9010941d15c8fd4cfc67680bb054

/ml/m15_randomSearch3.py

676fef1a96a144265ebefcfd7f4e4e1df752e92b

[]

no_license

ym0179/bit_seoul

f1ff5faf4ae20fbc8c0e2ed10a005f8bd4b2c2b8

14d1fb2752312790c39898fc53a45c1cf427a4d1

refs/heads/master

2023-02-27T19:52:23.577540

2021-02-08T00:30:16

311,265,926

1

0

null

UTF-8

Python

false

2,570

py

#Day12 #2020-11-24 # 당뇨병 데이터 # 모델 : RandomForestRegressor import pandas as pd from sklearn.datasets import load_diabetes from sklearn.model_selection import train_test_split, KFold, cross_val_score, GridSearchCV, RandomizedSearchCV from sklearn.metrics import accuracy_score, r2_score import warnings from sklearn.svm import LinearSVC, SVC from sklearn.neighbors import KNeighborsClassifier, KNeighborsRegressor from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor warnings.filterwarnings('ignore') # 1. 데이터 x,y = load_diabetes(return_X_y=True) # train-test split x_train, x_test, y_train, y_test = train_test_split(x, y, random_state=66, shuffle=True, train_size=0.8) # 2. 모델 kfold = KFold(n_splits=5, shuffle=True) params = [ {'n_estimators' : [300, 400, 500], #결정 트리의 개수, default=10, 많을 수록 좋은 성능이 나올 "수"도 있음 (시간이 오래걸림) 'max_depth' : [6, 8, 10], #트리의 깊이, default=None(완벽하게 클래스 값이 결정될 때 까지 분할), 깊이가 깊어지면 과적합될 수 있으므로 적절히 제어 필요 'min_samples_leaf' : [7, 10, 12, 14], #리프노드가 되기 위한 최소한의 샘플 데이터 수, default=2, min_samples_split과 함께 과적합 제어 용도 'min_samples_split' : [12, 14, 16], #노드를 분할하기 위한 최소한의 데이터 수, default=2, 과적합을 제어하는데 사용 (작게 설정할 수록 분할 노드가 많아져 과적합 가능성 증가) 'n_jobs' : [-1]} #모든 코어를 다 쓰겠다 ] model = RandomizedSearchCV(RandomForestRegressor(), params, cv=kfold, verbose=2) # 3. 훈련 model.fit(x_train,y_train) #model: RandomizedSearchCV # 4. 평가, 예측 print("최적의 매개변수 : ", model.best_estimator_) print("최적 하이퍼 파라미터 : ", model.best_params_) print("최고 정확도 : {0:.4f}".format(model.best_score_)) # RandomizedSearchCV refit으로 이미 학습이 된 estimator 반환 estimator = model.best_estimator_ y_predict = estimator.predict(x_test) print("(테스트 데이터 세트 r2) 최종정답률 : ", r2_score(y_test,y_predict)) ''' 최적의 매개변수 : RandomForestRegressor(max_depth=6, min_samples_leaf=12, min_samples_split=12, n_estimators=400, n_jobs=-1) 최적 하이퍼 파라미터 : {'n_jobs': -1, 'n_estimators': 400, 'min_samples_split': 12, 'min_samples_leaf': 12, 'max_depth': 6} 최고 정확도 : 0.4409 (테스트 데이터 세트 r2) 최종정답률 : 0.4142511040047415 '''

[ "[email protected]" ]

[email protected]

13264a103e66b2e23f72deff4819ceff21da6eca

1eb2d7d2a6e945a9bc487afcbc51daefd9af02e6

/eds/controller/__init__.py

deebe85d22d41b69dab825eb5fd53a7005d7ea4e

[]

no_license

fengges/eds

11dc0fdc7a17b611af1f61894f497ad443439bfe

635bcf015e3ec12e96949632c546d29fc99aee31

refs/heads/master

2021-06-20T04:43:02.019309

2019-06-20T12:55:26

133,342,023

0

3

null

UTF-8

Python

false

1,143

py

# author ：feng # time ：2018/1/25 # function : 扫描所有文件，找出所有蓝图并注册 import os,sys from flask import Blueprint #------------扫描所有文件---------- bp_file=[] def eachFile(filepath): try : pathDir = os.listdir(filepath) except: return for allDir in pathDir: # 忽略__开头的文件和文件夹 if allDir.startswith('__') : continue path=filepath+'/'+allDir #如果是文件夹 if not os.path.isfile(path): eachFile(path) else: map=[filepath,allDir] bp_file.append(map) eachFile(sys.path[0]+'/eds/controller') #------------导入蓝图---------- bp_list=[] for bp in bp_file: dirs=bp[0].replace(sys.path[0]+'/','').replace('/','.') if bp[1].find('.txt')>=0: continue name=bp[1].replace('.py','') code="from "+dirs+" import "+name+" as a" exec(code) list=eval("dir(a)") for l in list: if l.startswith('__') : continue temp=eval('a.'+l) if type(temp)==Blueprint: bp_list.append(temp)

[ "[email protected]" ]

[email protected]

6d118674593e7b3bc5b82d7ca42cd1c3846863ac

1fac53ab13a9a682ecd926857ef565fa779afae4

/pro/13.py

0b8d62883eb73d45ca1280fea31b7038e7b8463f

[]

no_license

Shamabanu/python-1

339123ff4e7667d6331c207cb1c7ca3fc775dc48

4c1642679bb0bdd53a1d21e5421e04eb7abda65b

refs/heads/master

2020-04-13T23:49:27.700807

2018-12-29T15:10:26

163,516,492

1

0

null

2018-12-29T14:16:28

null

UTF-8

Python

false

308

py

def min(l,s,e): min=999 for i in range(s,e+1): if min>l[i]: min=l[i] return min def main(): n=int(input()) l=[] for i in range(n): l.append(int(input())) q=int(input()) out=[] for i in range(q): s=int(input()) e=int(input()) out.append(min(l,s,e)) for i in out: print(i) p

[ "[email protected]" ]

[email protected]

fc4eba5935059e6128b133cc2c060cdb972f9a15

dcf2ab4e1a66d53eaaa1260a8824882fbd0bbd9f

/bonus of salary.py

f4ca9a0bd3e168131d1e460d06d77175392a50b1

[]

no_license

gauriindalkar/if-else

a54189ef8e6368be5cc6b8a9fdafa6e9497843be

fac48790ffb9f6d021eff921a80ff57e399a4f77

refs/heads/main

2023-05-11T05:59:13.275673

2021-05-29T17:24:19

371,955,342

0

null

UTF-8

Python

false

153

py

salary=int(input("enter salary")) years=int(input("enter year of salary")) if years>5%100: print("bonus is",5/100*salary) else: print("no bonus")

[ "[email protected]" ]

[email protected]

b1d060eda455ff0f11063c05df77ac25e88142cf

80694fba85a4096e9069d836ab71917d5f8b3540

/rpc_less1/__init__.py

fc1860f538e1d6f1da72aa51a8c431fc4e400142

[]

no_license

gitletian/zerorpc_test

dad732fd3d9086bbf4200e2d6b790afb377bb685

7f11a62dee1ea71cf1ed743c7bc17a3397a806c8

refs/heads/master

2021-06-23T18:25:37.210949

2019-07-09T07:59:39

147,283,404

0

null

UTF-8

Python

false

117

py

# coding: utf-8 # __author__: "" # like https://github.com/0rpc/zerorpc-python/blob/master/tests/test_middleware.py

[ "[email protected]" ]

[email protected]

a42aa2ddf7f80efdf7902f6b7dd7298a8d9b657a

23b333449524887594530f73c0079ce60cb8eefb

/python_module/examples/279_Perfect_Squares.py

2b38c220680fe826fc33b7042145e52e6e043b5d

[]

no_license

benbendaisy/CommunicationCodes

9deb371095f5d67e260030d3d8abf211c90e7642

444cc502ef26810b46115797f2e26ab305a4ebdf

refs/heads/master

2023-08-09T21:46:58.691987

2023-07-20T05:11:39

27,856,438

0

null

UTF-8

Python

false

1,495

py

import math from cmath import sqrt from functools import lru_cache class Solution: """ Given an integer n, return the least number of perfect square numbers that sum to n. A perfect square is an integer that is the square of an integer; in other words, it is the product of some integer with itself. For example, 1, 4, 9, and 16 are perfect squares while 3 and 11 are not. Example 1: Input: n = 12 Output: 3 Explanation: 12 = 4 + 4 + 4. Example 2: Input: n = 13 Output: 2 Explanation: 13 = 4 + 9. Constraints: 1 <= n <= 104 """ def numSquares(self, n: int) -> int: square_nums = [i ** 2 for i in range(1, int(sqrt(n)) + 1)] dp = [math.inf] * (n + 1) dp[0] = 0 for i in range(1, n + 1): for square in square_nums: if i < square: break dp[i] = min(dp[i], dp[i - square] + 1) return dp[n] def numSquares1(self, n: int) -> int: square_nums = [i ** 2 for i in range(1, int(sqrt(n)) + 1)] @lru_cache(None) def squares(k: int) -> int: if k in square_nums: return 1 min_square = math.inf for square in square_nums: if k < square: break min_square = min(min_square, squares(k - square) + 1) return min_square return squares(n)

[ "[email protected]" ]

[email protected]

855c6aaf9eed566e4170ab64ac60019fbc1e0d0a

76fc4ffc931ce83cfdfc9846435d92f1f217af26

/jmbo/migrations/0004_photosize_name_length.py

00a8457f321175fcf2da3750bbc25a86dd0be0f3

[]

no_license

praekelt/jmbo

70d2a4c8c19ffcc0b10ed1b915c05a6453ecb3de

b674c14c6611191643870a070ca8c9f229776776

refs/heads/develop

2020-04-06T06:10:09.524522

2018-06-08T10:52:42

1,899,978

4

6

null

2018-06-08T10:52:43

2011-06-15T12:29:27

Python

UTF-8

Python

false

1,126

py

# -*- coding: utf-8 -*- # Generated by Django 1.9.6 on 2016-05-30 12:47 from __future__ import unicode_literals from django.core.validators import RegexValidator from django.db import migrations, models from django.utils import timezone # We're modifying a field from another app. This requires trickery. def fix_app_label(apps, schema_editor): migrations.recorder.MigrationRecorder.Migration.objects.create( app='jmbo', name='0004_photosize_name_length', applied=timezone.now() ) class Migration(migrations.Migration): dependencies = [ ('jmbo', '0003_auto_20160530_1247'), ] operations = [ migrations.AlterField( model_name='photosize', name='name', field=models.CharField(unique=True, max_length=255, validators=[RegexValidator(regex='^[a-z0-9_]+$', message='Use only plain lowercase letters (ASCII), numbers and underscores.')]), ), migrations.RunPython(fix_app_label) ] def __init__(self, *args, **kwargs): super(Migration, self).__init__(*args, **kwargs) self.app_label = 'photologue'

[ "[email protected]" ]

[email protected]

4220343014eaae108a86cbbe3bc8fb5c6a51211b

f80255edf86a11ca237fd123485cc6af8e121fb6

/build/lib/woe/eval.py

eafd44d7944da70efb52849d66d65167a5ba44a1

[ "MIT" ]

permissive

AllenChai/woe

f0d04bf93a590113798f9085f95ecfb80fcd8ae3

421cb8ef10627ecf667c625a89e3d25fc0ac7b68

refs/heads/master

2021-07-15T16:13:48.955926

2017-10-12T10:04:50

null

0

null

UTF-8

Python

false

19,302

py

# -*- coding:utf-8 -*- __author__ = 'boredbird' import pandas as pd import numpy as np import scipy import matplotlib.pyplot as plt def eval_feature_detail(Info_Value_list,out_path=False): """ format InfoValue list to Dataframe :param Info_Value_list: Instance list of Class InfoValue :param out_path:specify the Dataframe to csv file path ,default False :return:DataFrame about feature detail """ rst = Info_Value_list format_rst = [] for kk in range(0,len(rst)): print rst[kk].var_name split_list = [] if rst[kk].split_list != []: if not rst[kk].is_discrete: #deal with split_list split_list.append('(-INF,'+str(rst[kk].split_list[0])+']') for i in range(0,len(rst[kk].split_list)-1): split_list.append('(' + str(rst[kk].split_list[i])+','+ str(rst[kk].split_list[i+1]) + ']') split_list.append('(' + str(rst[kk].split_list[len(rst[kk].split_list)-1]) + ',+INF)') else: split_list = rst[kk].split_list else: split_list.append('(-INF,+INF)') # merge into dataframe columns = ['var_name','split_list','sub_total_sample_num','positive_sample_num' ,'negative_sample_num','sub_total_num_percentage','positive_rate_in_sub_total' ,'woe_list','iv_list','iv'] rowcnt = len(rst[kk].iv_list) if rowcnt < len(split_list): split_list = split_list[:rowcnt] var_name = [rst[kk].var_name] * rowcnt iv = [rst[kk].iv] * rowcnt iv_list = rst[kk].iv_list woe_list = rst[kk].woe_list a = pd.DataFrame({'var_name':var_name,'iv_list':iv_list,'woe_list':woe_list ,'split_list':split_list,'iv':iv,'sub_total_sample_num':rst[kk].sub_total_sample_num ,'positive_sample_num':rst[kk].positive_sample_num,'negative_sample_num':rst[kk].negative_sample_num ,'sub_total_num_percentage':rst[kk].sub_total_num_percentage ,'positive_rate_in_sub_total':rst[kk].positive_rate_in_sub_total ,'negative_rate_in_sub_total':rst[kk].negative_rate_in_sub_total},columns=columns) format_rst.append(a) # merge dataframe list into one dataframe vertically cformat_rst = pd.concat(format_rst) if out_path: file_name = out_path if isinstance(out_path, str) else None cformat_rst.to_csv(file_name, index=False) return cformat_rst def eval_data_summary(df_list,source_name,out_path=False): ''' :param df_list: A dataset DataFrame :param source_name: string type :param out_path: specify the Dataframe to csv file path ,default False :return: DataFrame about dataset summary info ''' train_validation_data_summary = [] for i in range(len(source_name)): a = dict() a['source'] = source_name[i] a['total_sample_cnt'] = len(df_list[i]) a['positive_sample_cnt'] = df_list[i]['target'].sum() a['negative_sample_cnt'] = a['total_sample_cnt'] - a['positive_sample_cnt'] a['positive_rate'] = a['positive_sample_cnt']*1.0/a['total_sample_cnt'] train_validation_data_summary.append(a) train_validation_data_summary = pd.DataFrame(train_validation_data_summary) if out_path: file_name = out_path if isinstance(out_path, str) else None train_validation_data_summary.to_csv(file_name, index=False) return train_validation_data_summary def eval_model_summary(list_dict,out_path=False): ''' :param list_dict: a list of dict :param out_path: specify the Dataframe to csv file path ,default False :return: DataFrame about model summary info ''' model_summary = pd.DataFrame([list_dict[0]]) if len(list_dict)>1: for i in range(len(list_dict)-1): b = pd.DataFrame([list_dict[i+1]]) model_summary = pd.merge(model_summary, b, how='outer') if out_path: file_name = out_path if isinstance(out_path, str) else None model_summary.to_csv(file_name, index=False) return model_summary def wald_test(model,X): ''' :param model: a model file that should have predict_proba() function :param X: dataset features DataFrame :return: the value of wald_stats,p_value ''' pred_probs = np.matrix(model.predict_proba(X)) X_design = np.hstack((np.ones(shape=(X.shape[0], 1)), X)) diag_array = np.multiply(pred_probs[:, 0], pred_probs[:, 1]).A1 V = scipy.sparse.diags(diag_array) m1 = X_design.T * V m2 = m1.dot(X_design) cov_mat = np.linalg.inv(m2) model_params = np.hstack((model.intercept_[0], model.coef_[0])) wald_stats = (model_params / np.sqrt(np.diag(cov_mat))) ** 2 wald = scipy.stats.wald() p_value = wald.pdf(wald_stats) return wald_stats,p_value def eval_feature_summary(train_X,model,civ_list,candidate_var_list,out_path=False): ''' :param train_X: training dataset features DataFrame :param model: model file :param civ_list: list of InfoValue Class instances :param candidate_var_list: the list of model input variable :param out_path: specify the Dataframe to csv file path ,default False :return: DataFrame about feature summary ''' feature_summary = {} feature_summary['feature_name'] = list(['Intercept']) feature_summary['feature_name'].extend(list(candidate_var_list)) feature_summary['coef'] = [model.intercept_] feature_summary['coef'].extend(model.coef_[0]) var_name = [civ.var_name for civ in civ_list] feature_summary['iv'] = [0] feature_summary['iv'].extend([civ_list[var_name.index(var)].iv for var in candidate_var_list]) feature_summary['wald_stats'], feature_summary['p_value'] = wald_test(model, train_X) feature_summary = pd.DataFrame(feature_summary) if out_path: file_name = out_path if isinstance(out_path, str) else None feature_summary.to_csv(file_name, index=False) return feature_summary def eval_segment_metrics(target, predict_proba, segment_cnt = 20,out_path=False): ''' :param target: the list of actual target value :param predict_proba: the list of predicted probability :param segment_cnt: the segment number :param out_path: specify the Dataframe to csv file path ,default False :return: DataFrame about segment metrics ''' proba_descend_idx = np.argsort(predict_proba) proba_descend_idx = proba_descend_idx[::-1] grp_idx = 1 start_idx = 0 total_sample_cnt = len(predict_proba) total_positive_sample_cnt = target.sum() total_negative_sample_cnt = total_sample_cnt - total_positive_sample_cnt segment_sample_cnt = int(len(predict_proba) / segment_cnt) cumulative_sample_percentage = 0.0 cumulative_positive_percentage = 0.0 cumulative_negative_percentage = 0.0 segment_list = [] columns = ['grp_idx', 'segment_sample_cnt', 'segment_sample_percentage', 'cumulative_sample_percentage', 'in_segment_positive_percentage', 'positive_percentage_in_total', 'cumulative_positive_percentage', 'cumulative_negative_percentage', 'ks'] while start_idx < total_sample_cnt: s = {} s['grp_idx'] = grp_idx segment_idx_list = proba_descend_idx[start_idx : start_idx + segment_sample_cnt] segment_target = target[segment_idx_list] segment_sample_cnt = len(segment_idx_list) s['segment_sample_cnt'] = segment_sample_cnt segment_pos_cnt = segment_target.sum() segment_neg_cnt = segment_sample_cnt - segment_pos_cnt segment_sample_percentage = segment_sample_cnt*1.0/total_sample_cnt s['segment_sample_percentage'] = segment_sample_percentage pos_percentage_in_total = float(segment_pos_cnt * 100) / total_positive_sample_cnt neg_percentage_in_total = float(segment_neg_cnt * 100) / total_negative_sample_cnt s['positive_percentage_in_total'] = pos_percentage_in_total in_segment_positive_percentage = float(segment_pos_cnt) / segment_sample_cnt s['in_segment_positive_percentage'] = in_segment_positive_percentage cumulative_sample_percentage += segment_sample_percentage s['cumulative_sample_percentage'] = cumulative_sample_percentage cumulative_positive_percentage += pos_percentage_in_total cumulative_negative_percentage += neg_percentage_in_total s['cumulative_positive_percentage'] = cumulative_positive_percentage s['cumulative_negative_percentage'] = cumulative_negative_percentage ks = cumulative_positive_percentage - cumulative_negative_percentage s['ks'] = ks segment_list.append(s) grp_idx += 1 start_idx += segment_sample_cnt segment_list = pd.DataFrame(segment_list,columns=columns) if out_path: file_name = out_path if isinstance(out_path, str) else None segment_list.to_csv(file_name, index=False) return segment_list def eval_model_stability(proba_train, proba_validation, segment_cnt = 10,out_path=False): ''' :param proba_train: the list of predicted probability on training dataset :param proba_validation: the list of predicted probability on validation dataset :param segment_cnt: the segment number :param out_path: specify the Dataframe to csv file path ,default False :return: DataFrame about model stability ''' step = 1.0/segment_cnt flag = 0.0 model_stability = [] len_train = len(proba_train) len_validation = len(proba_validation) columns = ['score_range','segment_train_percentage','segment_validation_percentage','difference', 'variance','ln_variance','stability_index'] while flag < 1.0: temp = {} score_range = '['+str(flag)+','+str(flag + step)+')' segment_train_cnt = proba_train[(proba_train >= flag) & (proba_train < flag + step)].count() segment_train_percentage = segment_train_cnt*1.0/len_train segment_validation_cnt = proba_validation[(proba_validation >= flag) & (proba_validation < flag + step)].count() segment_validation_percentage = segment_validation_cnt * 1.0 / len_validation difference = segment_validation_percentage - segment_train_percentage variance = float(segment_validation_percentage)/segment_train_percentage ln_variance = variance stability_index = difference * ln_variance temp['score_range'] = score_range temp['segment_train_percentage'] = segment_train_percentage temp['segment_validation_percentage'] = segment_validation_percentage temp['difference'] = difference temp['variance'] = variance temp['ln_variance'] = ln_variance temp['stability_index'] = stability_index model_stability.append(temp) flag += step model_stability = pd.DataFrame(model_stability,columns=columns) if out_path: file_name = out_path if isinstance(out_path, str) else None model_stability.to_csv(file_name, index=False) return model_stability def eval_feature_stability(civ_list, df_train, df_validation,candidate_var_list,out_path=False): ''' :param civ_list: List of InfoValue Class instances :param df_train: DataFrame of training dataset :param df_validation: DataFrame of validation dataset :param candidate_var_list: the list of model input variable :param out_path: specify the Dataframe to csv file path ,default False :return: DataFrame about features stability ''' psi_dict = {} civ_var_list = [civ_list[i].var_name for i in range(len(civ_list))] intersection = list(set(civ_var_list).intersection(set(candidate_var_list))) civ_idx_list = [civ_var_list.index(var) for var in intersection] len_train = len(df_train) len_validation = len(df_validation) psi_dict['feature_name'] = [] psi_dict['group'] = [] psi_dict['segment_train_cnt'] = [] psi_dict['segment_train_percentage'] = [] psi_dict['segment_validation_cnt'] = [] psi_dict['segment_validation_percentage'] = [] for i in civ_idx_list: if civ_list[i].is_discrete: for j in range(len(civ_list[i].split_list)): psi_dict['feature_name'].append(civ_list[i].var_name) psi_dict['group'].append(civ_list[i].split_list[j]) civ_split_list = civ_list[i].split_list[j] segment_train_cnt = 0 for m in civ_split_list: segment_train_cnt += df_train[civ_list[i].var_name][df_train[civ_list[i].var_name] == m].count() psi_dict['segment_train_cnt'].append(segment_train_cnt) psi_dict['segment_train_percentage'].append(float(segment_train_cnt)/len_train) segment_validation_cnt = 0 for m in civ_split_list: segment_validation_cnt += df_validation[civ_list[i].var_name][df_validation[civ_list[i].var_name] == m].count() psi_dict['segment_validation_cnt'].append(segment_validation_cnt) psi_dict['segment_validation_percentage'].append(float(segment_validation_cnt)/len_validation) else: split_list = [] split_list.append(float("-inf")) split_list.extend([temp for temp in civ_list[i].split_list]) split_list.append(float("inf")) var_name = civ_list[i].var_name for j in range(len(split_list)-3): psi_dict['feature_name'].append(civ_list[i].var_name) psi_dict['group'].append('('+str(split_list[j])+','+str(split_list[j+1])+']') segment_train_cnt = df_train[var_name][(df_train[var_name] > split_list[j])&(df_train[var_name] <= split_list[j+1])].count() psi_dict['segment_train_cnt'].append(segment_train_cnt) psi_dict['segment_train_percentage'].append(float(segment_train_cnt)/len_train) segment_validation_cnt = df_validation[var_name][(df_validation[var_name] > split_list[j])& (df_validation[var_name] <= split_list[j+1])].count() psi_dict['segment_validation_cnt'].append(segment_validation_cnt) psi_dict['segment_validation_percentage'].append(float(segment_validation_cnt)/len_validation) psi_dict['feature_name'].append(var_name) psi_dict['group'].append('(' + str(split_list[len(split_list)-2]) + ',+INF)') segment_train_cnt = df_train[var_name][df_train[var_name] > split_list[len(split_list)-1]].count() psi_dict['segment_train_cnt'].append(segment_train_cnt) psi_dict['segment_train_percentage'].append(float(segment_train_cnt) / len_train) segment_validation_cnt = df_validation[var_name][df_validation[var_name] > split_list[len(split_list)-1]].count() psi_dict['segment_validation_cnt'].append(segment_validation_cnt) psi_dict['segment_validation_percentage'].append(float(segment_validation_cnt) / len_validation) psi_dict['difference'] = pd.Series(psi_dict['segment_validation_percentage']) - pd.Series(psi_dict['segment_train_percentage']) psi_dict['variance'] = map(lambda (x, y): x / (y+0.0000001), zip(psi_dict['segment_validation_percentage'], psi_dict['segment_train_percentage'])) psi_dict['Ln(variance)'] = np.log(psi_dict['variance']) psi_dict['stability_index'] = np.dot(psi_dict['difference'],psi_dict['Ln(variance)']) columns = ['feature_name','group','segment_train_cnt','segment_train_percentage', 'segment_validation_cnt','segment_validation_percentage','difference', 'variance','Ln(variance)','stability_index'] psi_df = pd.DataFrame(psi_dict, columns=columns) if out_path: file_name = out_path if isinstance(out_path, str) else None psi_df.to_csv(file_name, index=False) return psi_df def plot_ks(pos_percent, neg_percent, file_name=None): ''' pos_percent: 1-d array, cumulative positive sample percentage neg_percent: 1-d array, cumulative negative sample percentage return:None ''' plt.plot(pos_percent, 'ro-', label="positive") plt.plot(neg_percent, 'go-', label="negative") plt.grid(True) plt.legend(loc=0) plt.xlabel("population") plt.ylabel("cumulative percentage") if file_name is not None: plt.savefig(file_name) else: plt.show() plt.close() def compute_ks_gini(target, predict_proba, segment_cnt=100, plot=False): ''' target: numpy array of shape (1,) predict_proba: numpy array of shape (1,), predicted probability of the sample being positive segment_cnt: segment count for computing KS score, more segments result in more accurate estimate of KS score, default is 100 plot: boolean or string, whether to draw the KS plot, save to a file if plot is string of the file name returns: gini: float, gini score estimation ks: float, ks score estimation ''' proba_descend_idx = np.argsort(predict_proba) proba_descend_idx = proba_descend_idx[::-1] one_segment_sample_num = int(len(predict_proba) / segment_cnt) grp_idx = 1 start_idx = 0 total_sample_cnt = len(predict_proba) total_positive_sample_cnt = target.sum() total_negative_sample_cnt = total_sample_cnt - total_positive_sample_cnt cumulative_positive_percentage = 0.0 cumulative_negative_percentage = 0.0 cumulative_random_positive_percentage = 0.0 random_positive_percentage_step = 100.0 / segment_cnt ks_pos_percent_list = list() ks_neg_percent_list = list() ks_score = 0.0 gini_a_area = 0.0 while start_idx < total_sample_cnt: segment_idx_list = proba_descend_idx[start_idx: start_idx + one_segment_sample_num] segment_target = target[segment_idx_list] segment_sample_cnt = len(segment_idx_list) segment_pos_cnt = segment_target.sum() segment_neg_cnt = segment_sample_cnt - segment_pos_cnt pos_percentage_in_total = float(segment_pos_cnt * 100) / total_positive_sample_cnt neg_percentage_in_total = float(segment_neg_cnt * 100) / total_negative_sample_cnt cumulative_positive_percentage += pos_percentage_in_total cumulative_negative_percentage += neg_percentage_in_total ks = cumulative_positive_percentage - cumulative_negative_percentage ks_score = max(ks_score, ks) cumulative_random_positive_percentage += random_positive_percentage_step gini_a_area += (cumulative_positive_percentage - cumulative_random_positive_percentage) * (1.0 / segment_cnt) ks_pos_percent_list.append(cumulative_positive_percentage) ks_neg_percent_list.append(cumulative_negative_percentage) grp_idx += 1 start_idx += one_segment_sample_num gini_score = gini_a_area * 2 if plot: file_name = plot if isinstance(plot, str) else None plot_ks(ks_pos_percent_list, ks_neg_percent_list, file_name) return (gini_score, ks_score)

[ "[email protected]" ]

[email protected]

d7870a40f1c0cc50e7e98e6853dcf6f4cf63878b

d554b1aa8b70fddf81da8988b4aaa43788fede88

/5 - Notebooks e Data/1 - Análises numéricas/Arquivos David/Atualizados/logDicas-master/data/2019-1/225/users/3995/codes/1672_1950.py

d9036258f64b368da9802335bbf86f788d624ec8

[]

no_license

JosephLevinthal/Research-projects

a3bc3ca3b09faad16f5cce5949a2279cf14742ba

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refs/heads/master

2022-07-31T06:43:02.686109

2020-05-23T00:24:26

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py

t=float(input("temperatura:")) v=float(input("velocidade:")) o=13.12+(0.6215*t)-(11.37*(v**0.16))+(0.3965*t*(v**0.16)) if((t>=-50 and t<10)and(v>=4.8)): print(round(o, 4)) elif(v<4.8): print("Velocidade invalida") else: print("Temperatura invalida")

[ "[email protected]" ]

[email protected]

c9e3a5a2870c9edd52b272704f1a5fe5d524c02d

8a25ada37271acd5ea96d4a4e4e57f81bec221ac

/usr/share/pyshared/ajenti/plugins/fm/fm.py

aecbcde1a5101d2dbf7369b8b8633ab88fc1226e

[ "Apache-2.0" ]

permissive

lupyuen/RaspberryPiImage

65cebead6a480c772ed7f0c4d0d4e08572860f08

664e8a74b4628d710feab5582ef59b344b9ffddd

refs/heads/master

2021-01-20T02:12:27.897902

2016-11-17T17:32:30

42,438,362

7

8

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10,685

py

import gevent import grp import logging import os import pwd from ajenti.api import * from ajenti.api.http import * from ajenti.plugins.configurator.api import ClassConfigEditor from ajenti.plugins.main.api import SectionPlugin, intent from ajenti.ui import on from ajenti.ui.binder import Binder from backend import FMBackend, Item, Unpacker @plugin class FileManagerConfigEditor (ClassConfigEditor): title = _('File Manager') icon = 'folder-open' def init(self): self.append(self.ui.inflate('fm:config')) @plugin class FileManager (SectionPlugin): default_classconfig = {'root': '/', 'start': '/'} classconfig_editor = FileManagerConfigEditor classconfig_root = True def init(self): self.title = _('File Manager') self.category = _('Tools') self.icon = 'folder-open' self.backend = FMBackend().get() self.append(self.ui.inflate('fm:main')) self.controller = Controller() def post_item_bind(object, collection, item, ui): ui.find('name').on('click', self.on_item_click, object, item) ui.find('edit').on('click', self.edit, item.fullpath) self.find('items').post_item_bind = post_item_bind def post_bc_bind(object, collection, item, ui): ui.find('name').on('click', self.on_bc_click, object, item) self.find('breadcrumbs').post_item_bind = post_bc_bind self.clipboard = [] self.tabs = self.find('tabs') def on_first_page_load(self): self.new_tab() self.binder = Binder(self.controller, self.find('filemanager')).populate() self.binder_c = Binder(self, self.find('bind-clipboard')).populate() def on_page_load(self): self.refresh() def refresh_clipboard(self): self.binder_c.setup().populate() @on('tabs', 'switch') def on_tab_switch(self): if self.tabs.active == (len(self.controller.tabs) - 1): self.new_tab() self.refresh() @intent('fm:browse') def new_tab(self, path=None): dir = path or self.classconfig.get('start', None) or '/' if not dir.startswith(self.classconfig['root']): dir = self.classconfig['root'] self.controller.new_tab(dir) if not self.active: self.activate() @on('close', 'click') def on_tab_close(self): if len(self.controller.tabs) > 2: self.controller.tabs.pop(self.tabs.active) self.tabs.active = 0 self.refresh() @on('new-file', 'click') def on_new_file(self): destination = self.controller.tabs[self.tabs.active].path logging.info('[fm] new file in %s' % destination) path = os.path.join(destination, 'new file') try: open(path, 'w').close() self._chown_new(path) except OSError as e: self.context.notify('error', str(e)) self.refresh() @on('new-dir', 'click') def on_new_directory(self): destination = self.controller.tabs[self.tabs.active].path logging.info('[fm] new directory in %s' % destination) path = os.path.join(destination, 'new directory') if not os.path.exists(path): try: os.mkdir(path) os.chmod(path, 0755) self._chown_new(path) except OSError as e: self.context.notify('error', str(e)) self.refresh() def _chown_new(self, path): uid = self.classconfig.get('new_owner', 'root') or 'root' gid = self.classconfig.get('new_group', 'root') or 'root' try: uid = int(uid) except: uid = pwd.getpwnam(uid)[2] try: gid = int(gid) except: gid = grp.getgrnam(gid)[2] os.chown(path, uid, gid) def upload(self, name, file): destination = self.controller.tabs[self.tabs.active].path logging.info('[fm] uploading %s to %s' % (name, destination)) try: output = open(os.path.join(destination, name), 'w') while True: data = file.read(1024 * 1024) if not data: break gevent.sleep(0) output.write(data) output.close() except OSError as e: self.context.notify('error', str(e)) self.refresh() @on('mass-cut', 'click') def on_cut(self): l = self._get_checked() for i in l: i.action = 'cut' self.clipboard += l self.refresh_clipboard() @on('mass-copy', 'click') def on_copy(self): l = self._get_checked() for i in l: i.action = 'copy' self.clipboard += l self.refresh_clipboard() @on('mass-delete', 'click') def on_delete(self): def callback(task): self.context.notify('info', _('Files deleted')) self.refresh() self.backend.remove(self._get_checked(), cb=callback) @on('paste', 'click') def on_paste(self): tab = self.controller.tabs[self.tabs.active] for_move = [] for_copy = [] for i in self.clipboard: if i.action == 'cut': for_move.append(i) else: for_copy.append(i) try: if for_move: def callback(task): self.context.notify('info', _('Files moved')) self.refresh() self.backend.move(for_move, tab.path, callback) if for_copy: def callback(task): self.context.notify('info', _('Files copied')) self.refresh() self.backend.copy(for_copy, tab.path, callback) self.clipboard = [] except Exception as e: self.context.notify('error', str(e)) self.refresh_clipboard() @on('select-all', 'click') def on_select_all(self): self.binder.update() tab = self.controller.tabs[self.tabs.active] for item in tab.items: item.checked = not item.checked self.binder.populate() self.context.notify('info', _('Selected %i items') % len(tab.items)) def _get_checked(self): self.binder.update() tab = self.controller.tabs[self.tabs.active] r = [] for item in tab.items: if item.checked: r.append(item) item.checked = False self.refresh() return r @on('clear-clipboard', 'click') def on_clear_clipboard(self): self.clipboard = [] self.refresh_clipboard() def on_item_click(self, tab, item): path = os.path.join(tab.path, item.name) if not os.path.isdir(path): self.edit(path) if not path.startswith(self.classconfig['root']): return tab.navigate(path) self.refresh() def edit(self, path): self.find('dialog').visible = True self.item = Item(path) self.item.read() self.binder_d = Binder(self.item, self.find('dialog')).populate() # Unpack u = Unpacker.find(self.item.fullpath.lower()) unpack_btn = self.find('dialog').find('unpack') unpack_btn.visible = u is not None def cb(): self.context.notify('info', _('Unpacked')) self.refresh() def unpack(): u.unpack(self.item.fullpath, cb=cb) logging.info('[fm] unpacking %s' % self.item.fullpath) unpack_btn.on('click', lambda: unpack()) # Edit edit_btn = self.find('dialog').find('edit') if self.item.size > 1024 * 1024 * 5: edit_btn.visible = False def edit(): self.context.launch('notepad', path=self.item.fullpath) edit_btn.on('click', lambda: edit()) @on('dialog', 'button') def on_close_dialog(self, button): self.find('dialog').visible = False if button == 'save': self.binder_d.update() try: self.item.write() except Exception as e: self.context.notify('error', str(e)) self.refresh() if self.find('chmod-recursive').value: cmd = 'chown -Rv "%s:%s" "%s"; chmod -Rv %o "%s"' % ( self.item.owner, self.item.group, self.item.fullpath, self.item.mode, self.item.fullpath, ) self.context.launch('terminal', command=cmd) logging.info('[fm] modifying %s: %o %s:%s' % (self.item.fullpath, self.item.mode, self.item.owner, self.item.group)) def on_bc_click(self, tab, item): if not item.path.startswith(self.classconfig['root']): return tab.navigate(item.path) self.refresh() def refresh(self, _=None): for tab in self.controller.tabs: tab.refresh() self.binder.populate() @plugin class UploadReceiver (HttpPlugin): @url('/ajenti:fm-upload') def handle_upload(self, context): file = context.query['file'] context.session.endpoint.get_section(FileManager).upload(file.filename, file.file) context.respond_ok() return 'OK' class Controller (object): def __init__(self): self.tabs = [] def new_tab(self, path='/'): if len(self.tabs) > 1: self.tabs.pop(-1) self.tabs.append(Tab(path)) self.tabs.append(Tab(None)) class Tab (object): def __init__(self, path): if path: self.navigate(path) else: self.shortpath = '+' self.path = None def refresh(self): if self.path: self.navigate(self.path) def navigate(self, path): if not os.path.isdir(path): return self.path = path self.shortpath = os.path.split(path)[1] or '/' self.items = [] for item in os.listdir(unicode(self.path)): itempath = os.path.join(self.path, item) if os.path.exists(itempath): self.items.append(Item(itempath)) self.items = sorted(self.items, key=lambda x: (not x.isdir, x.name)) self.breadcrumbs = [] p = path while len(p) > 1: p = os.path.split(p)[0] self.breadcrumbs.insert(0, Breadcrumb(p)) class Breadcrumb (object): def __init__(self, path): self.name = os.path.split(path)[1] self.path = path if self.path == '/': self.name = '/'

[ "[email protected]" ]

[email protected]

ebf0411cf8fd15124d51fefb1d9fce1ff401d78a

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coralisland-git/web-spider-cloud

b5ab74ea4b2188dd18281618ecaf3337163bd4d1

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refs/heads/master

2021-04-09T15:47:18.220441

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#!/media/apple/f50223eb-8502-4183-93ad-3e6be8fce2e0/work/scrapy/Jamie/env/bin/python # -*- coding: utf-8 -*- import re import sys from rsa.util import private_to_public if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) sys.exit(private_to_public())

[ "[email protected]" ]

[email protected]

241fa6b221f9014d153bddf461f56f124deed35d

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/c-ex4/viz_hidden.py

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SummerBigData/SamRepo

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refs/heads/master

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import matplotlib.pyplot as plt import numpy as np from nn_util import * n = 400 k = 10 s = [n, 25, k] L = len(s) sizes = [(s[i+1], s[i]+1) for i in range(L-1)] theta_flat = np.genfromtxt('weights.txt') thetas = thetas_from_flat(theta_flat, sizes) theta_h = thetas[0][:,1:] def inv_sigmoid(a): return np.log(a/(1-a)) small_number = 1e-8 active_val = 1 - small_number X = np.zeros((25, n)) for i in range(s[1]): a = np.array(s[1] * [small_number]).reshape((1, s[1])) a[0,i] = active_val z = inv_sigmoid(a) x = z.dot(np.linalg.pinv(theta_h).T) X[i] = x rows, cols = 5, 5 _, axs = plt.subplots(rows, cols, figsize=(rows, cols)) row, col = -1, 0 for x in X: if col % cols == 0: row += 1 col = 0 x = x.reshape((20, 20)).T ax = axs[row, col] ax.imshow(x, cmap='gray') ax.axis('off') col += 1 plt.show()

[ "[email protected]" ]

[email protected]

c348b8fbf62271f2569db6ac5e932e2083f492cd

ca7aa979e7059467e158830b76673f5b77a0f5a3

/Python_codes/p02687/s366330739.py

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[]

no_license

Aasthaengg/IBMdataset

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py

# A - A?C # 'ABC'には'ARC'を、'ARC'には'ABC'を返す S = str(input()) if S == 'ABC': print('ARC') elif S == 'ARC': print('ABC')

[ "[email protected]" ]

[email protected]

f82670200f5a400d8e48a8b174a2cd82239ab27d

46ce38eacc390e549944d2e73020cbfd7e0b020d

/ml/rl/test/gym/world_model/state_embed_gym.py

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#!/usr/bin/env python3 # Copyright (c) Facebook, Inc. and its affiliates. All rights reserved. """ This file shows an example of using embedded states to feed to RL models in partially observable environments (POMDPs). Embedded states are generated by a world model which learns how to encode past n observations into a low-dimension vector.Embedded states improve performance in POMDPs compared to just using one-step observations as states because they encode more historical information than one-step observations. """ import argparse import json import logging import sys from collections import deque import gym import ml.rl.types as rlt import numpy as np import torch from gym import Env from gym.spaces import Box from ml.rl.json_serialize import from_json, json_to_object from ml.rl.models.world_model import MemoryNetwork from ml.rl.parameters import MDNRNNParameters, OpenAiGymParameters, RLParameters from ml.rl.test.gym.open_ai_gym_environment import EnvType, OpenAIGymEnvironment from ml.rl.test.gym.open_ai_gym_memory_pool import OpenAIGymMemoryPool from ml.rl.test.gym.run_gym import ( create_epsilon, create_predictor, create_trainer, train_gym_offline_rl, ) from ml.rl.test.gym.world_model.mdnrnn_gym import create_embed_rl_dataset, mdnrnn_gym from ml.rl.training.rl_dataset import RLDataset logger = logging.getLogger(__name__) class StateEmbedGymEnvironment(Env): def __init__( self, gym_env: Env, mdnrnn: MemoryNetwork, max_embed_seq_len: int, state_min_value: float, state_max_value: float, ): self.env = gym_env self.unwrapped.spec = self.env.unwrapped.spec self.max_embed_seq_len = max_embed_seq_len self.mdnrnn = mdnrnn self.embed_size = self.mdnrnn.num_hiddens self.raw_state_dim = self.env.observation_space.shape[0] # type: ignore self.state_dim = self.embed_size + self.raw_state_dim if isinstance(self.env.action_space, gym.spaces.Discrete): self.action_type = EnvType.DISCRETE_ACTION self.action_dim = self.env.action_space.n elif isinstance(self.env.action_space, gym.spaces.Box): self.action_type = EnvType.CONTINUOUS_ACTION self.action_dim = self.env.action_space.shape[0] self.action_space = self.env.action_space self.observation_space = Box( # type: ignore low=state_min_value, high=state_max_value, shape=(self.state_dim,) ) self.cur_raw_state = None self.recent_states = deque([], maxlen=self.max_embed_seq_len) # type: ignore self.recent_actions = deque([], maxlen=self.max_embed_seq_len) # type: ignore def seed(self, seed): self.env.seed(seed) def embed_state(self, state): """ Embed state after either reset() or step() """ assert len(self.recent_states) == len(self.recent_actions) old_mdnrnn_mode = self.mdnrnn.mdnrnn.training self.mdnrnn.mdnrnn.eval() # Embed the state as the hidden layer's output # until the previous step + current state if len(self.recent_states) == 0: mdnrnn_state = np.zeros((1, self.raw_state_dim)) mdnrnn_action = np.zeros((1, self.action_dim)) else: mdnrnn_state = np.array(list(self.recent_states)) mdnrnn_action = np.array(list(self.recent_actions)) mdnrnn_state = torch.tensor(mdnrnn_state, dtype=torch.float).unsqueeze(1) mdnrnn_action = torch.tensor(mdnrnn_action, dtype=torch.float).unsqueeze(1) mdnrnn_input = rlt.PreprocessedStateAction.from_tensors( state=mdnrnn_state, action=mdnrnn_action ) mdnrnn_output = self.mdnrnn(mdnrnn_input) hidden_embed = ( mdnrnn_output.all_steps_lstm_hidden[-1].squeeze().detach().cpu().numpy() ) state_embed = np.hstack((hidden_embed, state)) self.mdnrnn.mdnrnn.train(old_mdnrnn_mode) logger.debug( "Embed_state\nrecent states: {}\nrecent actions: {}\nstate_embed{}\n".format( np.array(self.recent_states), np.array(self.recent_actions), state_embed ) ) return state_embed def reset(self): next_raw_state = self.env.reset() self.recent_states = deque([], maxlen=self.max_embed_seq_len) self.recent_actions = deque([], maxlen=self.max_embed_seq_len) self.cur_raw_state = next_raw_state next_embed_state = self.embed_state(next_raw_state) return next_embed_state def step(self, action): if self.action_type == EnvType.DISCRETE_ACTION: action_np = np.zeros(self.action_dim) action_np[action] = 1.0 else: action_np = action self.recent_states.append(self.cur_raw_state) self.recent_actions.append(action_np) next_raw_state, reward, terminal, info = self.env.step(action) logger.debug("action {}, reward {}\n".format(action, reward)) self.cur_raw_state = next_raw_state next_embed_state = self.embed_state(next_raw_state) return next_embed_state, reward, terminal, info def main(args): parser = argparse.ArgumentParser( description="Train a RL net to play in an OpenAI Gym environment. " "States are embedded by a mdn-rnn model." ) parser.add_argument( "-p", "--mdnrnn_parameters", help="Path to JSON parameters file for MDN-RNN training.", ) parser.add_argument( "-q", "--rl_parameters", help="Path to JSON parameters file for RL training." ) parser.add_argument( "-s", "--score-bar", help="Bar for averaged tests scores.", type=float, default=None, ) parser.add_argument( "-g", "--gpu_id", help="If set, will use GPU with specified ID. Otherwise will use CPU.", default=-1, ) parser.add_argument( "-l", "--log_level", help="If set, use logging level specified (debug, info, warning, error, " "critical). Else defaults to info.", default="info", ) args = parser.parse_args(args) if args.log_level not in ("debug", "info", "warning", "error", "critical"): raise Exception("Logging level {} not valid level.".format(args.log_level)) else: logging.getLogger().setLevel(getattr(logging, args.log_level.upper())) with open(args.mdnrnn_parameters, "r") as f: mdnrnn_params = json_to_object(f.read(), OpenAiGymParameters) with open(args.rl_parameters, "r") as f: rl_params = json_to_object(f.read(), OpenAiGymParameters) env, mdnrnn_trainer, embed_rl_dataset = create_mdnrnn_trainer_and_embed_dataset( mdnrnn_params, rl_params.use_gpu ) max_embed_seq_len = mdnrnn_params["run_details"]["seq_len"] _, _, rl_trainer, rl_predictor, state_embed_env = run_gym( rl_params, args.score_bar, embed_rl_dataset, env.env, mdnrnn_trainer.mdnrnn, max_embed_seq_len, ) def create_mdnrnn_trainer_and_embed_dataset( mdnrnn_params: OpenAiGymParameters, use_gpu ): env, mdnrnn_trainer, _, _, _ = mdnrnn_gym(mdnrnn_params) embed_rl_dataset = RLDataset("/tmp/rl.pkl") create_embed_rl_dataset( env, mdnrnn_trainer, embed_rl_dataset, use_gpu, mdnrnn_params.run_details ) return env, mdnrnn_trainer, embed_rl_dataset def run_gym( params: OpenAiGymParameters, score_bar, embed_rl_dataset: RLDataset, gym_env: Env, mdnrnn: MemoryNetwork, max_embed_seq_len: int, ): assert params.rl is not None rl_parameters = params.rl env_type = params.env model_type = params.model_type epsilon, epsilon_decay, minimum_epsilon = create_epsilon( offline_train=True, rl_parameters=rl_parameters, params=params ) replay_buffer = OpenAIGymMemoryPool(params.max_replay_memory_size) for row in embed_rl_dataset.rows: replay_buffer.insert_into_memory(**row) assert replay_buffer.memory_buffer is not None state_mem = replay_buffer.memory_buffer.state state_min_value = torch.min(state_mem).item() state_max_value = torch.max(state_mem).item() state_embed_env = StateEmbedGymEnvironment( gym_env, mdnrnn, max_embed_seq_len, state_min_value, state_max_value ) open_ai_env = OpenAIGymEnvironment( state_embed_env, epsilon, rl_parameters.softmax_policy, rl_parameters.gamma, epsilon_decay, minimum_epsilon, ) rl_trainer = create_trainer(params, open_ai_env) rl_predictor = create_predictor( rl_trainer, model_type, params.use_gpu, open_ai_env.action_dim ) assert ( params.run_details.max_steps is not None and params.run_details.offline_train_epochs is not None ), "Missing data required for offline training: {}".format(str(params.run_details)) return train_gym_offline_rl( gym_env=open_ai_env, replay_buffer=replay_buffer, model_type=model_type, trainer=rl_trainer, predictor=rl_predictor, test_run_name="{} offline rl state embed".format(env_type), score_bar=score_bar, max_steps=params.run_details.max_steps, avg_over_num_episodes=params.run_details.avg_over_num_episodes, offline_train_epochs=params.run_details.offline_train_epochs, num_batch_per_epoch=None, ) if __name__ == "__main__": logging.basicConfig(stream=sys.stdout, level=logging.DEBUG) logging.getLogger().setLevel(logging.INFO) args = sys.argv main(args[1:])

[ "[email protected]" ]

[email protected]

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# Copyright (c) 2012 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. """Defines a set of constants shared by test runners and other scripts.""" # TODO(jbudorick): Split these constants into coherent modules. # pylint: disable=W0212 import collections import glob import logging import os import subprocess import devil.android.sdk.keyevent from devil.android.constants import chrome from devil.android.sdk import version_codes from devil.constants import exit_codes keyevent = devil.android.sdk.keyevent DIR_SOURCE_ROOT = os.environ.get('CHECKOUT_SOURCE_ROOT', os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir, os.pardir, os.pardir, os.pardir))) PACKAGE_INFO = dict(chrome.PACKAGE_INFO) PACKAGE_INFO.update({ 'legacy_browser': chrome.PackageInfo( 'com.google.android.browser', 'com.android.browser.BrowserActivity', None, None), 'chromecast_shell': chrome.PackageInfo( 'com.google.android.apps.mediashell', 'com.google.android.apps.mediashell.MediaShellActivity', '/data/local/tmp/castshell-command-line', None), 'android_webview_shell': chrome.PackageInfo( 'org.chromium.android_webview.shell', 'org.chromium.android_webview.shell.AwShellActivity', '/data/local/tmp/android-webview-command-line', None), 'gtest': chrome.PackageInfo( 'org.chromium.native_test', 'org.chromium.native_test.NativeUnitTestActivity', '/data/local/tmp/chrome-native-tests-command-line', None), 'components_browsertests': chrome.PackageInfo( 'org.chromium.components_browsertests_apk', ('org.chromium.components_browsertests_apk' + '.ComponentsBrowserTestsActivity'), '/data/local/tmp/chrome-native-tests-command-line', None), 'content_browsertests': chrome.PackageInfo( 'org.chromium.content_browsertests_apk', 'org.chromium.content_browsertests_apk.ContentBrowserTestsActivity', '/data/local/tmp/chrome-native-tests-command-line', None), 'chromedriver_webview_shell': chrome.PackageInfo( 'org.chromium.chromedriver_webview_shell', 'org.chromium.chromedriver_webview_shell.Main', None, None), }) # Ports arrangement for various test servers used in Chrome for Android. # Lighttpd server will attempt to use 9000 as default port, if unavailable it # will find a free port from 8001 - 8999. LIGHTTPD_DEFAULT_PORT = 9000 LIGHTTPD_RANDOM_PORT_FIRST = 8001 LIGHTTPD_RANDOM_PORT_LAST = 8999 TEST_SYNC_SERVER_PORT = 9031 TEST_SEARCH_BY_IMAGE_SERVER_PORT = 9041 TEST_POLICY_SERVER_PORT = 9051 TEST_EXECUTABLE_DIR = '/data/local/tmp' # Directories for common java libraries for SDK build. # These constants are defined in build/android/ant/common.xml SDK_BUILD_JAVALIB_DIR = 'lib.java' SDK_BUILD_TEST_JAVALIB_DIR = 'test.lib.java' SDK_BUILD_APKS_DIR = 'apks' ADB_KEYS_FILE = '/data/misc/adb/adb_keys' PERF_OUTPUT_DIR = os.path.join(DIR_SOURCE_ROOT, 'out', 'step_results') # The directory on the device where perf test output gets saved to. DEVICE_PERF_OUTPUT_DIR = ( '/data/data/' + PACKAGE_INFO['chrome'].package + '/files') SCREENSHOTS_DIR = os.path.join(DIR_SOURCE_ROOT, 'out_screenshots') ANDROID_SDK_VERSION = version_codes.MARSHMALLOW ANDROID_SDK_BUILD_TOOLS_VERSION = '24.0.2' ANDROID_SDK_ROOT = os.path.join(DIR_SOURCE_ROOT, 'third_party', 'android_tools', 'sdk') ANDROID_SDK_TOOLS = os.path.join(ANDROID_SDK_ROOT, 'build-tools', ANDROID_SDK_BUILD_TOOLS_VERSION) ANDROID_NDK_ROOT = os.path.join(DIR_SOURCE_ROOT, 'third_party', 'android_tools', 'ndk') PROGUARD_SCRIPT_PATH = os.path.join( ANDROID_SDK_ROOT, 'tools', 'proguard', 'bin', 'proguard.sh') PROGUARD_ROOT = os.path.join(DIR_SOURCE_ROOT, 'third_party', 'proguard') BAD_DEVICES_JSON = os.path.join(DIR_SOURCE_ROOT, os.environ.get('CHROMIUM_OUT_DIR', 'out'), 'bad_devices.json') UPSTREAM_FLAKINESS_SERVER = 'test-results.appspot.com' # TODO(jbudorick): Remove once unused. DEVICE_LOCAL_PROPERTIES_PATH = '/data/local.prop' # TODO(jbudorick): Rework this into testing/buildbot/ PYTHON_UNIT_TEST_SUITES = { 'pylib_py_unittests': { 'path': os.path.join(DIR_SOURCE_ROOT, 'build', 'android'), 'test_modules': [ 'devil.android.device_utils_test', 'devil.android.md5sum_test', 'devil.utils.cmd_helper_test', 'pylib.results.json_results_test', 'pylib.utils.proguard_test', ] }, 'gyp_py_unittests': { 'path': os.path.join(DIR_SOURCE_ROOT, 'build', 'android', 'gyp'), 'test_modules': [ 'java_cpp_enum_tests', 'java_google_api_keys_tests', ] }, } LOCAL_MACHINE_TESTS = ['junit', 'python'] VALID_ENVIRONMENTS = ['local'] VALID_TEST_TYPES = ['gtest', 'instrumentation', 'junit', 'linker', 'monkey', 'perf', 'python'] VALID_DEVICE_TYPES = ['Android', 'iOS'] def GetBuildType(): try: return os.environ['BUILDTYPE'] except KeyError: raise EnvironmentError( 'The BUILDTYPE environment variable has not been set') def SetBuildType(build_type): os.environ['BUILDTYPE'] = build_type def SetBuildDirectory(build_directory): os.environ['CHROMIUM_OUT_DIR'] = build_directory def SetOutputDirectory(output_directory): os.environ['CHROMIUM_OUTPUT_DIR'] = output_directory def GetOutDirectory(build_type=None): """Returns the out directory where the output binaries are built. Args: build_type: Build type, generally 'Debug' or 'Release'. Defaults to the globally set build type environment variable BUILDTYPE. """ if 'CHROMIUM_OUTPUT_DIR' in os.environ: return os.path.abspath(os.path.join( DIR_SOURCE_ROOT, os.environ.get('CHROMIUM_OUTPUT_DIR'))) return os.path.abspath(os.path.join( DIR_SOURCE_ROOT, os.environ.get('CHROMIUM_OUT_DIR', 'out'), GetBuildType() if build_type is None else build_type)) def CheckOutputDirectory(): """Checks that CHROMIUM_OUT_DIR or CHROMIUM_OUTPUT_DIR is set. If neither are set, but the current working directory is a build directory, then CHROMIUM_OUTPUT_DIR is set to the current working directory. Raises: Exception: If no output directory is detected. """ output_dir = os.environ.get('CHROMIUM_OUTPUT_DIR') out_dir = os.environ.get('CHROMIUM_OUT_DIR') if not output_dir and not out_dir: # If CWD is an output directory, then assume it's the desired one. if os.path.exists('build.ninja'): output_dir = os.getcwd() SetOutputDirectory(output_dir) elif os.environ.get('CHROME_HEADLESS'): # When running on bots, see if the output directory is obvious. dirs = glob.glob(os.path.join(DIR_SOURCE_ROOT, 'out', '*', 'build.ninja')) if len(dirs) == 1: SetOutputDirectory(dirs[0]) else: raise Exception('Neither CHROMIUM_OUTPUT_DIR nor CHROMIUM_OUT_DIR ' 'has been set. CHROME_HEADLESS detected, but multiple ' 'out dirs exist: %r' % dirs) else: raise Exception('Neither CHROMIUM_OUTPUT_DIR nor CHROMIUM_OUT_DIR ' 'has been set') # TODO(jbudorick): Convert existing callers to AdbWrapper.GetAdbPath() and # remove this. def GetAdbPath(): from devil.android.sdk import adb_wrapper return adb_wrapper.AdbWrapper.GetAdbPath() # Exit codes ERROR_EXIT_CODE = exit_codes.ERROR INFRA_EXIT_CODE = exit_codes.INFRA WARNING_EXIT_CODE = exit_codes.WARNING

[ "[email protected]" ]

[email protected]

3ce273ff7c46fa17acd4b7832d4e488d178af564

c5278643c1df2a0c1a83156f764ba7b2ebcc8cb8

/hc/api/tests/test_pause.py

e6c3d4142b8b6977190901b14f8e040aea1f06a6

[ "BSD-3-Clause" ]

permissive

protostartup/healthchecks

a5757584c4506282d488aff207676f54241c975c

25e48f1b9fff10866e4d6a0f875912527a5160bc

refs/heads/master

2020-04-11T15:24:42.495688

2018-12-14T16:58:35

null

0

null

UTF-8

Python

false

1,978

py

from hc.api.models import Check from hc.test import BaseTestCase class PauseTestCase(BaseTestCase): def test_it_works(self): check = Check(user=self.alice, status="up") check.save() url = "/api/v1/checks/%s/pause" % check.code r = self.client.post(url, "", content_type="application/json", HTTP_X_API_KEY="X" * 32) self.assertEqual(r.status_code, 200) self.assertEqual(r["Access-Control-Allow-Origin"], "*") check.refresh_from_db() self.assertEqual(check.status, "paused") def test_it_handles_options(self): check = Check(user=self.alice, status="up") check.save() r = self.client.options("/api/v1/checks/%s/pause" % check.code) self.assertEqual(r.status_code, 204) self.assertIn("POST", r["Access-Control-Allow-Methods"]) def test_it_only_allows_post(self): url = "/api/v1/checks/1659718b-21ad-4ed1-8740-43afc6c41524/pause" r = self.client.get(url, HTTP_X_API_KEY="X" * 32) self.assertEqual(r.status_code, 405) def test_it_validates_ownership(self): check = Check(user=self.bob, status="up") check.save() url = "/api/v1/checks/%s/pause" % check.code r = self.client.post(url, "", content_type="application/json", HTTP_X_API_KEY="X" * 32) self.assertEqual(r.status_code, 403) def test_it_validates_uuid(self): url = "/api/v1/checks/not-uuid/pause" r = self.client.post(url, "", content_type="application/json", HTTP_X_API_KEY="X" * 32) self.assertEqual(r.status_code, 404) def test_it_handles_missing_check(self): url = "/api/v1/checks/07c2f548-9850-4b27-af5d-6c9dc157ec02/pause" r = self.client.post(url, "", content_type="application/json", HTTP_X_API_KEY="X" * 32) self.assertEqual(r.status_code, 404)

[ "[email protected]" ]

[email protected]

13ef81d0170c88304adc0fe294d740fb507ae0ef

7755efce8e5ec81943ceb491590fae29eaad798a

/Codecademy Lesson 3 Control Flow/L3.5_Boolean_Operators_And.py

8413b9f09629808f478ec877dbcf37d340a3cfe0

[]

no_license

jashidsany/Learning-Python

01b3f2f207dfdf6d31f9ca9f5abd38aab710ba1d

2c9926fd1b159441cbe8e9e30f0804d99b936573

refs/heads/main

2023-02-20T03:59:15.123009

2021-01-25T01:12:19

319,205,996

0

null

UTF-8

Python

false

273

py

statement_one = (2 + 2 + 2 >= 6) and (-1 * -1 < 0) print(statement_one) statement_two = (4 * 2 <= 8) and (7 - 1 == 6) print(statement_two) def graduation_reqs(gpa, credits): if gpa >= 2.0 and credits >= 120: return "You meet the requirements to graduate!"

[ "[email protected]" ]

[email protected]

c8a947e165c9e763ad4bdf98bb89237d7e4bf66e

021cf3a95271c46647c45427ca6f4e951a1eacb0

/2020/B/b.py

3a2882390d01d691f8a0dd5c7c016017fb86c480

[]

no_license

calvinchankf/GoogleKickStart

9c5fe0a2537c4efba79aa9352284a0b1e6e65445

dbcd259b756785ee2864915c22c5ee6abe270581

refs/heads/master

2023-02-12T14:05:59.787258

2023-02-11T16:19:50

182,479,858

3

null

UTF-8

Python

false

695

py

""" math Small Pass Big Pass """ def f(nums, D): rightMost = D for i in range(len(nums)-1, -1, -1): rightMost = nums[i] * (rightMost // nums[i]) return rightMost # a = [3, 7, 2] # print(f(a, 10)) # a = [11, 10, 5, 50] # print(f(a, 100)) # a = [1,1] # print(f(a, 1)) # input() reads a string with a line of input, stripping the ' ' (newline) at the end. # This is all you need for most Code Jam problems. t = int(raw_input()) # read a line with a single integer for i in range(1, t + 1): N, D = [int(s) for s in raw_input().split(" ")] arr = [int(s) for s in raw_input().split(" ")] res = f(arr, D) print("Case #{}: {}".format(i, res))

[ "[email protected]" ]

[email protected]

d3854df5c0cfad528f8a66d04ee219f3398b3031

f572e0a4b843ed3fd2cd8edec2ad3aab7a0019d3

/ows/wcs/v20/exceptions.py

8b2d542a5baad97f4eec81ecbf70515ef3aeeb76

[ "MIT" ]

permissive

EOxServer/pyows

9039c8ed7358c98d736e2b8fd9f47be944f0b0a1

e09310f992d6e69088940e9b5dbd7302f697344b

refs/heads/master

2022-10-09T23:27:43.884159

2022-10-04T10:03:25

218,005,699

1

null

2022-01-04T13:36:06

2019-10-28T09:01:51

Python

UTF-8

Python

false

3,719

py

# ------------------------------------------------------------------------------ # # Project: pyows <http://eoxserver.org> # Authors: Fabian Schindler <[email protected]> # # ------------------------------------------------------------------------------ # Copyright (C) 2019 EOX IT Services GmbH # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies of this Software or works derived from this Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # ------------------------------------------------------------------------------ class InvalidSubsettingException(Exception): """ This exception indicates an invalid WCS 2.0 subsetting parameter was submitted. """ code = "InvalidSubsetting" locator = "subset" class InvalidSubsettingCrsException(Exception): """ This exception indicates an invalid WCS 2.0 subsettingCrs parameter was submitted. """ code = "SubsettingCrs-NotSupported" locator = "subsettingCrs" class InvalidOutputCrsException(Exception): """ This exception indicates an invalid WCS 2.0 outputCrs parameter was submitted. """ code = "OutputCrs-NotSupported" locator = "outputCrs" class InvalidScaleFactorException(Exception): """ Error in ScaleFactor and ScaleAxis operations """ code = "InvalidScaleFactor" def __init__(self, scalefactor): super().__init__( "Scalefactor '%s' is not valid" % scalefactor ) self.locator = scalefactor class InvalidScaleExtentException(Exception): """ Error in ScaleExtent operations """ code = "InvalidExtent" def __init__(self, low, high): super().__init__( "ScaleExtent '%s:%s' is not valid" % (low, high) ) self.locator = high class NoSuchCoverageException(Exception): """ This exception indicates that the requested coverage(s) do not exist. """ code = "NoSuchCoverage" # def __str__(self): # return "No such Coverage%s with ID: %s" % ( # "" if len(self.items) == 1 else "s", # ", ".join(map(lambda i: "'%s'" % i, self.items)) # ) class NoSuchDatasetSeriesOrCoverageException(Exception): """ This exception indicates that the requested coverage(s) or dataset series do not exist. """ code = "NoSuchDatasetSeriesOrCoverage" # def __str__(self): # return "No such Coverage%s or Dataset Series with ID: %s" % ( # " " if len(self.items) == 1 else "s", # ", ".join(map(lambda i: "'%s'" % i, self.items)) # ) class InterpolationMethodNotSupportedException(Exception): """ This exception indicates a not supported interpolation method. """ code = "InterpolationMethodNotSupported" locator = "interpolation"

[ "[email protected]" ]

[email protected]

fb90ef3f04640975faca0418775ddddf8837d8db

187c27b5d1255f3f08ec87a4bb51cc4056d8e2da

/agents/views.py

27ef869b7b3b066d67c3ea077e6f104ce339b5d1

[]

no_license

LKingJ23/Django-Hotel-Site

1f589154d9475731d015c823e83815292b962e11

49b1bef7425ff63bf8ec3e178629ccc2bab45c1f

refs/heads/master

2020-06-14T20:22:17.310187

2019-07-03T19:41:30

195,115,416

0

null

UTF-8

Python

false

268

py

from django.shortcuts import render from .models import Agent # Create your views here. def agents_list(request): agent_list = Agent.objects.all() template = 'agents/agents.html' context = { 'agent_list': agent_list } return render(request, template, context)

[ "[email protected]" ]

[email protected]

bc29b15eabbd22e4af5e1f1da7d7846fe6fa794d

53fab060fa262e5d5026e0807d93c75fb81e67b9

/backup/user_387/ch136_2020_04_01_12_06_52_438302.py

5a78febe80669c25bdb2163ef7afb2a5b120d898

[]

no_license

gabriellaec/desoft-analise-exercicios

b77c6999424c5ce7e44086a12589a0ad43d6adca

01940ab0897aa6005764fc220b900e4d6161d36b

refs/heads/main

2023-01-31T17:19:42.050628

2020-12-16T05:21:31

306,735,108

0

null

UTF-8

Python

false

1,151

py

import random as rnd def dicas(soma): num1 = int(input('Primeiro número: ')) num2 = int(input('Segundo número: ')) num3 = int(input('Terceiro número: ')) nums = [num1, num2, num3] if soma in nums: return("Está entre os 3") else: return("Não está entre os 3") dado1 = rnd.randint(1,6) dado2 = rnd.randint(1,6) dado3 = rnd.randint(1,6) soma = dado1 + dado2 + dado3 dinheiro = 10 fase_dicas = True while fase_dicas: print(f'Você possui {dinheiro} dinheiros') if dinheiro <= 0: break quer_dica = input('Você quer uma dica? (cada dica custa 1 dinheiro) (sim/não)') if quer_dica == 'sim': print(dicas(soma)) dinheiro-=1 elif quer_dica == 'não': fase_dicas = False while not fase_dicas: print(f'Você possui {dinheiro} dinheiros') if dinheiro <= 0: break else: chute = int(input('Chute um número: ')) if chute == soma: dinheiro*=6 break else: dinheiro-=1 if dinheiro > 0: print(f"Você ganhou o jogo com {dinheiro} dinheiros!") else: print("Você perdeu!")

[ "[email protected]" ]

[email protected]

d4e0bae3805afbac2f13e7fb4aaa6af639b860f7

297497957c531d81ba286bc91253fbbb78b4d8be

/testing/mochitest/pywebsocket3/mod_pywebsocket/util.py

351ca9fac84852ce0760931431fd2b91c8ebd766

[ "LicenseRef-scancode-unknown-license-reference", "BSD-3-Clause" ]

permissive

marco-c/gecko-dev-comments-removed

7a9dd34045b07e6b22f0c636c0a836b9e639f9d3

61942784fb157763e65608e5a29b3729b0aa66fa

refs/heads/master

2023-08-09T18:55:25.895853

2023-08-01T00:40:39

211,297,481

0

NOASSERTION

2019-09-29T01:27:49

2019-09-27T10:44:24

C++

UTF-8

Python

false

10,317

py

"""WebSocket utilities.""" from __future__ import absolute_import import array import errno import logging import os import re import six from six.moves import map from six.moves import range import socket import struct import zlib try: from mod_pywebsocket import fast_masking except ImportError: pass def prepend_message_to_exception(message, exc): """Prepend message to the exception.""" exc.args = (message + str(exc), ) return def __translate_interp(interp, cygwin_path): """Translate interp program path for Win32 python to run cygwin program (e.g. perl). Note that it doesn't support path that contains space, which is typically true for Unix, where #!-script is written. For Win32 python, cygwin_path is a directory of cygwin binaries. Args: interp: interp command line cygwin_path: directory name of cygwin binary, or None Returns: translated interp command line. """ if not cygwin_path: return interp m = re.match('^[^ ]*/([^ ]+)( .*)?', interp) if m: cmd = os.path.join(cygwin_path, m.group(1)) return cmd + m.group(2) return interp def get_script_interp(script_path, cygwin_path=None): r"""Get #!-interpreter command line from the script. It also fixes command path. When Cygwin Python is used, e.g. in WebKit, it could run "/usr/bin/perl -wT hello.pl". When Win32 Python is used, e.g. in Chromium, it couldn't. So, fix "/usr/bin/perl" to "<cygwin_path>\perl.exe". Args: script_path: pathname of the script cygwin_path: directory name of cygwin binary, or None Returns: #!-interpreter command line, or None if it is not #!-script. """ fp = open(script_path) line = fp.readline() fp.close() m = re.match('^#!(.*)', line) if m: return __translate_interp(m.group(1), cygwin_path) return None def wrap_popen3_for_win(cygwin_path): """Wrap popen3 to support #!-script on Windows. Args: cygwin_path: path for cygwin binary if command path is needed to be translated. None if no translation required. """ __orig_popen3 = os.popen3 def __wrap_popen3(cmd, mode='t', bufsize=-1): cmdline = cmd.split(' ') interp = get_script_interp(cmdline[0], cygwin_path) if interp: cmd = interp + ' ' + cmd return __orig_popen3(cmd, mode, bufsize) os.popen3 = __wrap_popen3 def hexify(s): return ' '.join(['%02x' % x for x in six.iterbytes(s)]) def get_class_logger(o): """Return the logging class information.""" return logging.getLogger('%s.%s' % (o.__class__.__module__, o.__class__.__name__)) def pack_byte(b): """Pack an integer to network-ordered byte""" return struct.pack('!B', b) class NoopMasker(object): """A NoOp masking object. This has the same interface as RepeatedXorMasker but just returns the string passed in without making any change. """ def __init__(self): """NoOp.""" pass def mask(self, s): """NoOp.""" return s class RepeatedXorMasker(object): """A masking object that applies XOR on the string. Applies XOR on the byte string given to mask method with the masking bytes given to the constructor repeatedly. This object remembers the position in the masking bytes the last mask method call ended and resumes from that point on the next mask method call. """ def __init__(self, masking_key): self._masking_key = masking_key self._masking_key_index = 0 def _mask_using_swig(self, s): """Perform the mask via SWIG.""" masked_data = fast_masking.mask(s, self._masking_key, self._masking_key_index) self._masking_key_index = ((self._masking_key_index + len(s)) % len(self._masking_key)) return masked_data def _mask_using_array(self, s): """Perform the mask via python.""" if isinstance(s, six.text_type): raise Exception( 'Masking Operation should not process unicode strings') result = bytearray(s) masking_key = [c for c in six.iterbytes(self._masking_key)] masking_key_size = len(masking_key) masking_key_index = self._masking_key_index for i in range(len(result)): result[i] ^= masking_key[masking_key_index] masking_key_index = (masking_key_index + 1) % masking_key_size self._masking_key_index = masking_key_index return bytes(result) if 'fast_masking' in globals(): mask = _mask_using_swig else: mask = _mask_using_array class _Deflater(object): def __init__(self, window_bits): self._logger = get_class_logger(self) window_bits = max(window_bits, 9) self._compress = zlib.compressobj(zlib.Z_DEFAULT_COMPRESSION, zlib.DEFLATED, -window_bits) def compress(self, bytes): compressed_bytes = self._compress.compress(bytes) self._logger.debug('Compress input %r', bytes) self._logger.debug('Compress result %r', compressed_bytes) return compressed_bytes def compress_and_flush(self, bytes): compressed_bytes = self._compress.compress(bytes) compressed_bytes += self._compress.flush(zlib.Z_SYNC_FLUSH) self._logger.debug('Compress input %r', bytes) self._logger.debug('Compress result %r', compressed_bytes) return compressed_bytes def compress_and_finish(self, bytes): compressed_bytes = self._compress.compress(bytes) compressed_bytes += self._compress.flush(zlib.Z_FINISH) self._logger.debug('Compress input %r', bytes) self._logger.debug('Compress result %r', compressed_bytes) return compressed_bytes class _Inflater(object): def __init__(self, window_bits): self._logger = get_class_logger(self) self._window_bits = window_bits self._unconsumed = b'' self.reset() def decompress(self, size): if not (size == -1 or size > 0): raise Exception('size must be -1 or positive') data = b'' while True: data += self._decompress.decompress(self._unconsumed, max(0, size - len(data))) self._unconsumed = self._decompress.unconsumed_tail if self._decompress.unused_data: self._unconsumed = self._decompress.unused_data self.reset() if size >= 0 and len(data) == size: break else: continue else: break if data: self._logger.debug('Decompressed %r', data) return data def append(self, data): self._logger.debug('Appended %r', data) self._unconsumed += data def reset(self): self._logger.debug('Reset') self._decompress = zlib.decompressobj(-self._window_bits) class _RFC1979Deflater(object): """A compressor class that applies DEFLATE to given byte sequence and flushes using the algorithm described in the RFC1979 section 2.1. """ def __init__(self, window_bits, no_context_takeover): self._deflater = None if window_bits is None: window_bits = zlib.MAX_WBITS self._window_bits = window_bits self._no_context_takeover = no_context_takeover def filter(self, bytes, end=True, bfinal=False): if self._deflater is None: self._deflater = _Deflater(self._window_bits) if bfinal: result = self._deflater.compress_and_finish(bytes) result = result + pack_byte(0) self._deflater = None return result result = self._deflater.compress_and_flush(bytes) if end: result = result[:-4] if self._no_context_takeover and end: self._deflater = None return result class _RFC1979Inflater(object): """A decompressor class a la RFC1979. A decompressor class for byte sequence compressed and flushed following the algorithm described in the RFC1979 section 2.1. """ def __init__(self, window_bits=zlib.MAX_WBITS): self._inflater = _Inflater(window_bits) def filter(self, bytes): self._inflater.append(bytes + b'\x00\x00\xff\xff') return self._inflater.decompress(-1) class DeflateSocket(object): """A wrapper class for socket object to intercept send and recv to perform deflate compression and decompression transparently. """ _RECV_SIZE = 4096 def __init__(self, socket): self._socket = socket self._logger = get_class_logger(self) self._deflater = _Deflater(zlib.MAX_WBITS) self._inflater = _Inflater(zlib.MAX_WBITS) def recv(self, size): """Receives data from the socket specified on the construction up to the specified size. Once any data is available, returns it even if it's smaller than the specified size. """ if size <= 0: raise Exception('Non-positive size passed') while True: data = self._inflater.decompress(size) if len(data) != 0: return data read_data = self._socket.recv(DeflateSocket._RECV_SIZE) if not read_data: return b'' self._inflater.append(read_data) def sendall(self, bytes): self.send(bytes) def send(self, bytes): self._socket.sendall(self._deflater.compress_and_flush(bytes)) return len(bytes)

[ "[email protected]" ]

[email protected]

761d376738dff5065eb205f52483975c3895404c

11e3ca0f8332835bd28ed69b20729079d071289c

/devel/lib/python2.7/dist-packages/custom_sys_msgs/msg/_TrackPathActionResult.py

53fa8b36dc54d0f018d69916ce9299010e3403e2

[]

no_license

huan-holmes/roswrok

7d90cdb97f3b8af849968de0e498df64448454bd

3d7b15cd53a5f14e40538c1b8fc330e96ae8d379

refs/heads/master

2022-12-08T13:12:31.850804

2020-09-08T01:47:38

293,672,544

0

null

UTF-8

Python

false

12,026

py

# This Python file uses the following encoding: utf-8 """autogenerated by genpy from custom_sys_msgs/TrackPathActionResult.msg. Do not edit.""" import sys python3 = True if sys.hexversion > 0x03000000 else False import genpy import struct import custom_sys_msgs.msg import genpy import actionlib_msgs.msg import std_msgs.msg class TrackPathActionResult(genpy.Message): _md5sum = "1eb06eeff08fa7ea874431638cb52332" _type = "custom_sys_msgs/TrackPathActionResult" _has_header = True #flag to mark the presence of a Header object _full_text = """# ====== DO NOT MODIFY! AUTOGENERATED FROM AN ACTION DEFINITION ====== Header header actionlib_msgs/GoalStatus status TrackPathResult result ================================================================================ MSG: std_msgs/Header # Standard metadata for higher-level stamped data types. # This is generally used to communicate timestamped data # in a particular coordinate frame. # # sequence ID: consecutively increasing ID uint32 seq #Two-integer timestamp that is expressed as: # * stamp.sec: seconds (stamp_secs) since epoch (in Python the variable is called 'secs') # * stamp.nsec: nanoseconds since stamp_secs (in Python the variable is called 'nsecs') # time-handling sugar is provided by the client library time stamp #Frame this data is associated with # 0: no frame # 1: global frame string frame_id ================================================================================ MSG: actionlib_msgs/GoalStatus GoalID goal_id uint8 status uint8 PENDING = 0 # The goal has yet to be processed by the action server uint8 ACTIVE = 1 # The goal is currently being processed by the action server uint8 PREEMPTED = 2 # The goal received a cancel request after it started executing # and has since completed its execution (Terminal State) uint8 SUCCEEDED = 3 # The goal was achieved successfully by the action server (Terminal State) uint8 ABORTED = 4 # The goal was aborted during execution by the action server due # to some failure (Terminal State) uint8 REJECTED = 5 # The goal was rejected by the action server without being processed, # because the goal was unattainable or invalid (Terminal State) uint8 PREEMPTING = 6 # The goal received a cancel request after it started executing # and has not yet completed execution uint8 RECALLING = 7 # The goal received a cancel request before it started executing, # but the action server has not yet confirmed that the goal is canceled uint8 RECALLED = 8 # The goal received a cancel request before it started executing # and was successfully cancelled (Terminal State) uint8 LOST = 9 # An action client can determine that a goal is LOST. This should not be # sent over the wire by an action server #Allow for the user to associate a string with GoalStatus for debugging string text ================================================================================ MSG: actionlib_msgs/GoalID # The stamp should store the time at which this goal was requested. # It is used by an action server when it tries to preempt all # goals that were requested before a certain time time stamp # The id provides a way to associate feedback and # result message with specific goal requests. The id # specified must be unique. string id ================================================================================ MSG: custom_sys_msgs/TrackPathResult # ====== DO NOT MODIFY! AUTOGENERATED FROM AN ACTION DEFINITION ====== # no result currently """ __slots__ = ['header','status','result'] _slot_types = ['std_msgs/Header','actionlib_msgs/GoalStatus','custom_sys_msgs/TrackPathResult'] def __init__(self, *args, **kwds): """ Constructor. Any message fields that are implicitly/explicitly set to None will be assigned a default value. The recommend use is keyword arguments as this is more robust to future message changes. You cannot mix in-order arguments and keyword arguments. The available fields are: header,status,result :param args: complete set of field values, in .msg order :param kwds: use keyword arguments corresponding to message field names to set specific fields. """ if args or kwds: super(TrackPathActionResult, self).__init__(*args, **kwds) #message fields cannot be None, assign default values for those that are if self.header is None: self.header = std_msgs.msg.Header() if self.status is None: self.status = actionlib_msgs.msg.GoalStatus() if self.result is None: self.result = custom_sys_msgs.msg.TrackPathResult() else: self.header = std_msgs.msg.Header() self.status = actionlib_msgs.msg.GoalStatus() self.result = custom_sys_msgs.msg.TrackPathResult() def _get_types(self): """ internal API method """ return self._slot_types def serialize(self, buff): """ serialize message into buffer :param buff: buffer, ``StringIO`` """ try: _x = self buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs)) _x = self.header.frame_id length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.pack('<I%ss'%length, length, _x)) _x = self buff.write(_get_struct_2I().pack(_x.status.goal_id.stamp.secs, _x.status.goal_id.stamp.nsecs)) _x = self.status.goal_id.id length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.pack('<I%ss'%length, length, _x)) buff.write(_get_struct_B().pack(self.status.status)) _x = self.status.text length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.pack('<I%ss'%length, length, _x)) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self))))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self))))) def deserialize(self, str): """ unpack serialized message in str into this message instance :param str: byte array of serialized message, ``str`` """ try: if self.header is None: self.header = std_msgs.msg.Header() if self.status is None: self.status = actionlib_msgs.msg.GoalStatus() if self.result is None: self.result = custom_sys_msgs.msg.TrackPathResult() end = 0 _x = self start = end end += 12 (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end]) start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.header.frame_id = str[start:end].decode('utf-8') else: self.header.frame_id = str[start:end] _x = self start = end end += 8 (_x.status.goal_id.stamp.secs, _x.status.goal_id.stamp.nsecs,) = _get_struct_2I().unpack(str[start:end]) start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.status.goal_id.id = str[start:end].decode('utf-8') else: self.status.goal_id.id = str[start:end] start = end end += 1 (self.status.status,) = _get_struct_B().unpack(str[start:end]) start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.status.text = str[start:end].decode('utf-8') else: self.status.text = str[start:end] return self except struct.error as e: raise genpy.DeserializationError(e) #most likely buffer underfill def serialize_numpy(self, buff, numpy): """ serialize message with numpy array types into buffer :param buff: buffer, ``StringIO`` :param numpy: numpy python module """ try: _x = self buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs)) _x = self.header.frame_id length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.pack('<I%ss'%length, length, _x)) _x = self buff.write(_get_struct_2I().pack(_x.status.goal_id.stamp.secs, _x.status.goal_id.stamp.nsecs)) _x = self.status.goal_id.id length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.pack('<I%ss'%length, length, _x)) buff.write(_get_struct_B().pack(self.status.status)) _x = self.status.text length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.pack('<I%ss'%length, length, _x)) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self))))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self))))) def deserialize_numpy(self, str, numpy): """ unpack serialized message in str into this message instance using numpy for array types :param str: byte array of serialized message, ``str`` :param numpy: numpy python module """ try: if self.header is None: self.header = std_msgs.msg.Header() if self.status is None: self.status = actionlib_msgs.msg.GoalStatus() if self.result is None: self.result = custom_sys_msgs.msg.TrackPathResult() end = 0 _x = self start = end end += 12 (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end]) start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.header.frame_id = str[start:end].decode('utf-8') else: self.header.frame_id = str[start:end] _x = self start = end end += 8 (_x.status.goal_id.stamp.secs, _x.status.goal_id.stamp.nsecs,) = _get_struct_2I().unpack(str[start:end]) start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.status.goal_id.id = str[start:end].decode('utf-8') else: self.status.goal_id.id = str[start:end] start = end end += 1 (self.status.status,) = _get_struct_B().unpack(str[start:end]) start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.status.text = str[start:end].decode('utf-8') else: self.status.text = str[start:end] return self except struct.error as e: raise genpy.DeserializationError(e) #most likely buffer underfill _struct_I = genpy.struct_I def _get_struct_I(): global _struct_I return _struct_I _struct_3I = None def _get_struct_3I(): global _struct_3I if _struct_3I is None: _struct_3I = struct.Struct("<3I") return _struct_3I _struct_B = None def _get_struct_B(): global _struct_B if _struct_B is None: _struct_B = struct.Struct("<B") return _struct_B _struct_2I = None def _get_struct_2I(): global _struct_2I if _struct_2I is None: _struct_2I = struct.Struct("<2I") return _struct_2I

[ "[email protected]" ]

[email protected]

1b748902903c60969cc84f3c2ff0c43c78765de4

03e1bef3d11a7b925b43b18f002c74ffd82d170c

/caffe2/python/layers_test.py

77918792a46a814f8fff3ea91477245fdf0efeee

[ "BSD-2-Clause", "MIT", "BSD-3-Clause", "LicenseRef-scancode-generic-cla" ]

permissive

ConeyFly/caffe2

7f921816e9585ec2a49889d2500be50b4e0c9c8b

bcf8f149b3bf05611c7f7e1c769b75f5bc49cdc7

refs/heads/master

2021-01-01T04:04:23.326615

2017-08-19T01:19:21

97,118,593

0

null

2017-07-13T12:08:39

null

UTF-8

Python

false

32,695

py

from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals import hypothesis.strategies as st import numpy as np import numpy.testing as npt from hypothesis import given import caffe2.python.hypothesis_test_util as hu from caffe2.python import ( layer_model_instantiator, schema, workspace, ) from caffe2.python.layers.layers import ( InstantiationContext, ) from caffe2.python.layers.tags import Tags from caffe2.python.layer_test_util import ( LayersTestCase, OpSpec, ) from caffe2.python.layers.layers import ( set_request_only, is_request_only_scalar, ) class TestLayers(LayersTestCase): def _test_net(self, net, ops_list): """ Helper function to assert the net contains some set of operations and then to run the net. Inputs: net -- the network to test and run ops_list -- the list of operation specifications to check for in the net """ ops_output = self.assertNetContainOps(net, ops_list) workspace.RunNetOnce(net) return ops_output def testFCWithoutBias(self): output_dims = 2 fc_without_bias = self.model.FCWithoutBias( self.model.input_feature_schema.float_features, output_dims) self.model.output_schema = fc_without_bias self.assertEqual( schema.Scalar((np.float32, (output_dims, ))), fc_without_bias ) train_init_net, train_net = self.get_training_nets() init_ops = self.assertNetContainOps( train_init_net, [ OpSpec("UniformFill", None, None), ] ) mat_mul_spec = OpSpec( "MatMul", [ self.model.input_feature_schema.float_features(), init_ops[0].output[0], ], fc_without_bias.field_blobs() ) self.assertNetContainOps(train_net, [mat_mul_spec]) predict_net = self.get_predict_net() self.assertNetContainOps(predict_net, [mat_mul_spec]) def testSamplingTrain(self): output_dims = 1000 indices = self.new_record(schema.Scalar((np.int32, (10,)))) sampling_prob = self.new_record(schema.Scalar((np.float32, (10, )))) sampled_fc = self.model.SamplingTrain( schema.Struct( ('input', self.model.input_feature_schema.float_features), ('indices', indices), ('sampling_prob', sampling_prob), ), "FC", output_dims, ) self.model.output_schema = sampled_fc # Check that we don't add prediction layer into the model self.assertEqual(1, len(self.model.layers)) self.assertEqual( schema.Scalar((np.float32, (output_dims, ))), sampled_fc ) train_init_net, train_net = self.get_training_nets() init_ops = self.assertNetContainOps( train_init_net, [ OpSpec("UniformFill", None, None), OpSpec("UniformFill", None, None), ] ) sampled_fc_layer = self.model.layers[0] gather_w_spec = OpSpec( "Gather", [ init_ops[0].output[0], indices(), ], [ sampled_fc_layer._prediction_layer.train_param_blobs[0] ] ) gather_b_spec = OpSpec( "Gather", [ init_ops[1].output[0], indices(), ], [ sampled_fc_layer._prediction_layer.train_param_blobs[1] ] ) train_fc_spec = OpSpec( "FC", [ self.model.input_feature_schema.float_features(), ] + sampled_fc_layer._prediction_layer.train_param_blobs, sampled_fc.field_blobs() ) log_spec = OpSpec("Log", [sampling_prob()], [None]) sub_spec = OpSpec( "Sub", [sampled_fc.field_blobs()[0], None], sampled_fc.field_blobs() ) train_ops = self.assertNetContainOps( train_net, [gather_w_spec, gather_b_spec, train_fc_spec, log_spec, sub_spec]) self.assertEqual(train_ops[3].output[0], train_ops[4].input[1]) predict_net = self.get_predict_net() self.assertNetContainOps( predict_net, [ OpSpec( "FC", [ self.model.input_feature_schema.float_features(), init_ops[0].output[0], init_ops[1].output[0], ], sampled_fc.field_blobs() ) ] ) def testBatchLRLoss(self): input_record = self.new_record(schema.Struct( ('label', schema.Scalar((np.float64, (1,)))), ('prediction', schema.Scalar((np.float32, (2,)))), ('weight', schema.Scalar((np.float64, (1,)))) )) loss = self.model.BatchLRLoss(input_record) self.assertEqual(schema.Scalar((np.float32, tuple())), loss) def testBatchMSELoss(self): input_record = self.new_record(schema.Struct( ('label', schema.Scalar((np.float64, (1,)))), ('prediction', schema.Scalar((np.float32, (2,)))), )) loss = self.model.BatchMSELoss(input_record) self.assertEqual(schema.Scalar((np.float32, tuple())), loss) def testBatchSigmoidCrossEntropyLoss(self): input_record = self.new_record(schema.Struct( ('label', schema.Scalar((np.float32, (32,)))), ('prediction', schema.Scalar((np.float32, (32,)))) )) loss = self.model.BatchSigmoidCrossEntropyLoss(input_record) self.assertEqual(schema.Scalar((np.float32, tuple())), loss) def testBatchSoftmaxLoss(self): input_record = self.new_record(schema.Struct( ('label', schema.Scalar((np.float32, tuple()))), ('prediction', schema.Scalar((np.float32, (32,)))) )) loss = self.model.BatchSoftmaxLoss(input_record) self.assertEqual(schema.Struct( ('softmax', schema.Scalar((np.float32, (32,)))), ('loss', schema.Scalar(np.float32)), ), loss) def testBatchSoftmaxLossWeight(self): input_record = self.new_record(schema.Struct( ('label', schema.Scalar((np.float32, tuple()))), ('prediction', schema.Scalar((np.float32, (32,)))), ('weight', schema.Scalar((np.float64, (1,)))) )) loss = self.model.BatchSoftmaxLoss(input_record) self.assertEqual(schema.Struct( ('softmax', schema.Scalar((np.float32, (32,)))), ('loss', schema.Scalar(np.float32)), ), loss) @given( X=hu.arrays(dims=[2, 5]), ) def testBatchNormalization(self, X): input_record = self.new_record(schema.Scalar((np.float32, (5,)))) schema.FeedRecord(input_record, [X]) bn_output = self.model.BatchNormalization(input_record) self.assertEqual(schema.Scalar((np.float32, (5,))), bn_output) self.model.output_schema = schema.Struct() train_init_net, train_net = self.get_training_nets() init_ops = self.assertNetContainOps( train_init_net, [ OpSpec("ConstantFill", None, None), OpSpec("ConstantFill", None, None), OpSpec("ConstantFill", None, None), OpSpec("ConstantFill", None, None), ] ) input_blob = input_record.field_blobs()[0] output_blob = bn_output.field_blobs()[0] expand_dims_spec = OpSpec( "ExpandDims", [input_blob], [input_blob], ) train_bn_spec = OpSpec( "SpatialBN", [input_blob, init_ops[0].output[0], init_ops[1].output[0], init_ops[2].output[0], init_ops[3].output[0]], [output_blob, init_ops[2].output[0], init_ops[3].output[0], None, None], {'is_test': 0, 'order': 'NCHW', 'momentum': 0.9}, ) test_bn_spec = OpSpec( "SpatialBN", [input_blob, init_ops[0].output[0], init_ops[1].output[0], init_ops[2].output[0], init_ops[3].output[0]], [output_blob], {'is_test': 1, 'order': 'NCHW', 'momentum': 0.9}, ) squeeze_spec = OpSpec( "Squeeze", [output_blob], [output_blob], ) self.assertNetContainOps( train_net, [expand_dims_spec, train_bn_spec, squeeze_spec] ) eval_net = self.get_eval_net() self.assertNetContainOps( eval_net, [expand_dims_spec, test_bn_spec, squeeze_spec] ) predict_net = self.get_predict_net() self.assertNetContainOps( predict_net, [expand_dims_spec, test_bn_spec, squeeze_spec] ) workspace.RunNetOnce(train_init_net) workspace.RunNetOnce(train_net) schema.FeedRecord(input_record, [X]) workspace.RunNetOnce(eval_net) schema.FeedRecord(input_record, [X]) workspace.RunNetOnce(predict_net) @given( X=hu.arrays(dims=[5, 2]), num_to_collect=st.integers(min_value=1, max_value=10), ) def testLastNWindowCollector(self, X, num_to_collect): input_record = self.new_record(schema.Scalar(np.float32)) schema.FeedRecord(input_record, [X]) last_n = self.model.LastNWindowCollector(input_record, num_to_collect) self.run_train_net_forward_only() output_record = schema.FetchRecord(last_n) start = max(0, 5 - num_to_collect) npt.assert_array_equal(X[start:], output_record()) def testUniformSampling(self): input_record = self.new_record(schema.Scalar(np.int32)) input_array = np.array([3, 10, 11, 15, 20, 99], dtype=np.int32) schema.FeedRecord(input_record, [input_array]) num_samples = 20 num_elements = 100 uniform_sampling_output = self.model.UniformSampling( input_record, num_samples, num_elements) self.model.loss = uniform_sampling_output self.run_train_net() samples = workspace.FetchBlob(uniform_sampling_output.samples()) sampling_prob = workspace.FetchBlob( uniform_sampling_output.sampling_prob()) self.assertEqual(num_samples, len(samples)) np.testing.assert_array_equal(input_array, samples[:len(input_array)]) np.testing.assert_almost_equal( np.array([float(num_samples) / num_elements] * num_samples, dtype=np.float32), sampling_prob ) def testGatherRecord(self): indices = np.array([1, 3, 4], dtype=np.int32) dense = np.array(list(range(20)), dtype=np.float32).reshape(10, 2) lengths = np.array(list(range(10)), dtype=np.int32) items = np.array(list(range(lengths.sum())), dtype=np.int64) items_lengths = np.array(list(range(lengths.sum())), dtype=np.int32) items_items = np.array(list(range(items_lengths.sum())), dtype=np.int64) record = self.new_record(schema.Struct( ('dense', schema.Scalar(np.float32)), ('sparse', schema.Struct( ('list', schema.List(np.int64)), ('list_of_list', schema.List(schema.List(np.int64))), )), ('empty_struct', schema.Struct()) )) indices_record = self.new_record(schema.Scalar(np.int32)) input_record = schema.Struct( ('indices', indices_record), ('record', record), ) schema.FeedRecord( input_record, [indices, dense, lengths, items, lengths, items_lengths, items_items]) gathered_record = self.model.GatherRecord(input_record) self.assertTrue(schema.equal_schemas(gathered_record, record)) self.run_train_net_forward_only() gathered_dense = workspace.FetchBlob(gathered_record.dense()) np.testing.assert_array_equal( np.concatenate([dense[i:i + 1] for i in indices]), gathered_dense) gathered_lengths = workspace.FetchBlob( gathered_record.sparse.list.lengths()) np.testing.assert_array_equal( np.concatenate([lengths[i:i + 1] for i in indices]), gathered_lengths) gathered_items = workspace.FetchBlob( gathered_record.sparse.list.items()) offsets = lengths.cumsum() - lengths np.testing.assert_array_equal( np.concatenate([ items[offsets[i]: offsets[i] + lengths[i]] for i in indices ]), gathered_items) gathered_items_lengths = workspace.FetchBlob( gathered_record.sparse.list_of_list.items.lengths()) np.testing.assert_array_equal( np.concatenate([ items_lengths[offsets[i]: offsets[i] + lengths[i]] for i in indices ]), gathered_items_lengths ) nested_offsets = [] nested_lengths = [] nested_offset = 0 j = 0 for l in lengths: nested_offsets.append(nested_offset) nested_length = 0 for _i in range(l): nested_offset += items_lengths[j] nested_length += items_lengths[j] j += 1 nested_lengths.append(nested_length) gathered_items_items = workspace.FetchBlob( gathered_record.sparse.list_of_list.items.items()) np.testing.assert_array_equal( np.concatenate([ items_items[nested_offsets[i]: nested_offsets[i] + nested_lengths[i]] for i in indices ]), gathered_items_items ) def testMapToRange(self): input_record = self.new_record(schema.Scalar(np.int32)) indices_blob = self.model.MapToRange(input_record, max_index=100).indices self.model.output_schema = schema.Struct() train_init_net, train_net = self.get_training_nets() schema.FeedRecord( input_record, [np.array([10, 3, 20, 99, 15, 11, 3, 11], dtype=np.int32)] ) workspace.RunNetOnce(train_init_net) workspace.RunNetOnce(train_net) indices = workspace.FetchBlob(indices_blob()) np.testing.assert_array_equal( np.array([1, 2, 3, 4, 5, 6, 2, 6], dtype=np.int32), indices ) schema.FeedRecord( input_record, [np.array([10, 3, 23, 35, 60, 15, 10, 15], dtype=np.int32)] ) workspace.RunNetOnce(train_net) indices = workspace.FetchBlob(indices_blob()) np.testing.assert_array_equal( np.array([1, 2, 7, 8, 9, 5, 1, 5], dtype=np.int32), indices ) eval_net = self.get_eval_net() schema.FeedRecord( input_record, [np.array([10, 3, 23, 35, 60, 15, 200], dtype=np.int32)] ) workspace.RunNetOnce(eval_net) indices = workspace.FetchBlob(indices_blob()) np.testing.assert_array_equal( np.array([1, 2, 7, 8, 9, 5, 0], dtype=np.int32), indices ) schema.FeedRecord( input_record, [np.array([10, 3, 23, 15, 101, 115], dtype=np.int32)] ) workspace.RunNetOnce(eval_net) indices = workspace.FetchBlob(indices_blob()) np.testing.assert_array_equal( np.array([1, 2, 7, 5, 0, 0], dtype=np.int32), indices ) predict_net = self.get_predict_net() schema.FeedRecord( input_record, [np.array([3, 3, 20, 23, 151, 35, 60, 15, 200], dtype=np.int32)] ) workspace.RunNetOnce(predict_net) indices = workspace.FetchBlob(indices_blob()) np.testing.assert_array_equal( np.array([2, 2, 3, 7, 0, 8, 9, 5, 0], dtype=np.int32), indices ) def testSelectRecordByContext(self): float_features = self.model.input_feature_schema.float_features float_array = np.array([1.0, 2.0], dtype=np.float32) schema.FeedRecord(float_features, [float_array]) with Tags(Tags.EXCLUDE_FROM_PREDICTION): log_float_features = self.model.Log(float_features, 1) joined = self.model.SelectRecordByContext( schema.Struct( (InstantiationContext.PREDICTION, float_features), (InstantiationContext.TRAINING, log_float_features), # TODO: TRAIN_ONLY layers are also generated in eval (InstantiationContext.EVAL, log_float_features), ) ) # model.output_schema has to a struct self.model.output_schema = schema.Struct(( 'joined', joined )) predict_net = layer_model_instantiator.generate_predict_net(self.model) workspace.RunNetOnce(predict_net) predict_output = schema.FetchRecord(predict_net.output_record()) npt.assert_array_equal(float_array, predict_output['joined']()) eval_net = layer_model_instantiator.generate_eval_net(self.model) workspace.RunNetOnce(eval_net) eval_output = schema.FetchRecord(eval_net.output_record()) npt.assert_array_equal(np.log(float_array), eval_output['joined']()) _, train_net = ( layer_model_instantiator.generate_training_nets_forward_only( self.model ) ) workspace.RunNetOnce(train_net) train_output = schema.FetchRecord(train_net.output_record()) npt.assert_array_equal(np.log(float_array), train_output['joined']()) def testFunctionalLayer(self): def normalize(net, in_record, out_record): mean = net.ReduceFrontMean(in_record(), 1) net.Sub( [in_record(), mean], out_record(), broadcast=1) normalized = self.model.Functional( self.model.input_feature_schema.float_features, 1, normalize, name="normalizer") # Attach metadata to one of the outputs and use it in FC normalized.set_type((np.float32, 32)) self.model.output_schema = self.model.FC(normalized, 2) predict_net = layer_model_instantiator.generate_predict_net( self.model) ops = predict_net.Proto().op assert len(ops) == 3 assert ops[0].type == "ReduceFrontMean" assert ops[1].type == "Sub" assert ops[2].type == "FC" assert len(ops[0].input) == 1 assert ops[0].input[0] ==\ self.model.input_feature_schema.float_features() assert len(ops[1].output) == 1 assert ops[1].output[0] in ops[2].input def testFunctionalLayerHelper(self): mean = self.model.ReduceFrontMean( self.model.input_feature_schema.float_features, 1) normalized = self.model.Sub( schema.Tuple( self.model.input_feature_schema.float_features, mean), 1, broadcast=1) # Attach metadata to one of the outputs and use it in FC normalized.set_type((np.float32, (32,))) self.model.output_schema = self.model.FC(normalized, 2) predict_net = layer_model_instantiator.generate_predict_net( self.model) ops = predict_net.Proto().op assert len(ops) == 3 assert ops[0].type == "ReduceFrontMean" assert ops[1].type == "Sub" assert ops[2].type == "FC" assert len(ops[0].input) == 1 assert ops[0].input[0] ==\ self.model.input_feature_schema.float_features() assert len(ops[1].output) == 1 assert ops[1].output[0] in ops[2].input def testFunctionalLayerHelperAutoInference(self): softsign = self.model.Softsign( schema.Tuple(self.model.input_feature_schema.float_features), 1) assert softsign.field_type().base == np.float32 assert softsign.field_type().shape == (32,) self.model.output_schema = self.model.FC(softsign, 2) predict_net = layer_model_instantiator.generate_predict_net( self.model) ops = predict_net.Proto().op assert len(ops) == 2 assert ops[0].type == "Softsign" assert ops[1].type == "FC" assert len(ops[0].input) == 1 assert ops[0].input[0] ==\ self.model.input_feature_schema.float_features() assert len(ops[0].output) == 1 assert ops[0].output[0] in ops[1].input def testFunctionalLayerHelperAutoInferenceScalar(self): loss = self.model.AveragedLoss(self.model.input_feature_schema, 1) self.assertEqual(1, len(loss.field_types())) self.assertEqual(np.float32, loss.field_types()[0].base) self.assertEqual(tuple(), loss.field_types()[0].shape) def testFunctionalLayerInputCoercion(self): one = self.model.global_constants['ONE'] two = self.model.Add([one, one], 1) self.model.loss = two self.run_train_net() data = workspace.FetchBlob(two.field_blobs()[0]) np.testing.assert_array_equal([2.0], data) def testFunctionalLayerWithOutputNames(self): k = 3 topk = self.model.TopK( self.model.input_feature_schema, output_names_or_num=['values', 'indices'], k=k, ) self.assertEqual(2, len(topk.field_types())) self.assertEqual(np.float32, topk.field_types()[0].base) self.assertEqual((k,), topk.field_types()[0].shape) self.assertEqual(np.int32, topk.field_types()[1].base) self.assertEqual((k,), topk.field_types()[1].shape) self.assertEqual(['TopK/values', 'TopK/indices'], topk.field_blobs()) def testFunctionalLayerWithOutputDtypes(self): loss = self.model.AveragedLoss( self.model.input_feature_schema, 1, output_dtypes=(np.float32, (1,)), ) self.assertEqual(1, len(loss.field_types())) self.assertEqual(np.float32, loss.field_types()[0].base) self.assertEqual((1,), loss.field_types()[0].shape) def testPropagateRequestOnly(self): # test case when output is request only input_record = self.new_record(schema.Struct( ('input1', schema.Scalar((np.float32, (32, )))), ('input2', schema.Scalar((np.float32, (64, )))), ('input3', schema.Scalar((np.float32, (16, )))), )) set_request_only(input_record) concat_output = self.model.Concat(input_record) self.assertEqual(is_request_only_scalar(concat_output), True) # test case when output is not request only input_record2 = self.new_record(schema.Struct( ('input4', schema.Scalar((np.float32, (100, )))) )) + input_record concat_output2 = self.model.Concat(input_record2) self.assertEqual(is_request_only_scalar(concat_output2), False) def testSetRequestOnly(self): input_record = schema.Scalar(np.int64) schema.attach_metadata_to_scalars( input_record, schema.Metadata( categorical_limit=100000000, expected_value=99, feature_specs=schema.FeatureSpec( feature_ids=[1, 100, 1001] ) ) ) set_request_only(input_record) self.assertEqual(input_record.metadata.categorical_limit, 100000000) self.assertEqual(input_record.metadata.expected_value, 99) self.assertEqual( input_record.metadata.feature_specs.feature_ids, [1, 100, 1001] ) @given( X=hu.arrays(dims=[5, 5]), # Shape of X is irrelevant ) def testDropout(self, X): input_record = self.new_record(schema.Scalar((np.float32, (1,)))) schema.FeedRecord(input_record, [X]) d_output = self.model.Dropout(input_record) self.assertEqual(schema.Scalar((np.float32, (1,))), d_output) self.model.output_schema = schema.Struct() train_init_net, train_net = self.get_training_nets() input_blob = input_record.field_blobs()[0] output_blob = d_output.field_blobs()[0] train_d_spec = OpSpec( "Dropout", [input_blob], [output_blob, None], {'is_test': 0, 'ratio': 0.5} ) test_d_spec = OpSpec( "Dropout", [input_blob], [output_blob, None], {'is_test': 1, 'ratio': 0.5} ) self.assertNetContainOps( train_net, [train_d_spec] ) eval_net = self.get_eval_net() self.assertNetContainOps( eval_net, [test_d_spec] ) predict_net = self.get_predict_net() self.assertNetContainOps( predict_net, [test_d_spec] ) workspace.RunNetOnce(train_init_net) workspace.RunNetOnce(train_net) schema.FeedRecord(input_record, [X]) workspace.RunNetOnce(eval_net) schema.FeedRecord(input_record, [X]) workspace.RunNetOnce(predict_net) @given( batch_size=st.integers(min_value=2, max_value=10), input_dims=st.integers(min_value=5, max_value=10), output_dims=st.integers(min_value=5, max_value=10), bandwidth=st.floats(min_value=0.1, max_value=5), ) def testRandomFourierFeatures(self, batch_size, input_dims, output_dims, bandwidth): X = np.random.random((batch_size, input_dims)).astype(np.float32) scale = np.sqrt(2.0 / output_dims) input_record = self.new_record(schema.Scalar((np.float32, (input_dims,)))) schema.FeedRecord(input_record, [X]) input_blob = input_record.field_blobs()[0] rff_output = self.model.RandomFourierFeatures(input_record, output_dims, bandwidth) self.model.output_schema = schema.Struct() self.assertEqual( schema.Scalar((np.float32, (output_dims, ))), rff_output ) train_init_net, train_net = self.get_training_nets() # Init net assertions init_ops_list = [ OpSpec("GaussianFill", None, None), OpSpec("UniformFill", None, None), ] init_ops = self._test_net(train_init_net, init_ops_list) W = workspace.FetchBlob(self.model.layers[0].w) b = workspace.FetchBlob(self.model.layers[0].b) # Operation specifications fc_spec = OpSpec("FC", [input_blob, init_ops[0].output[0], init_ops[1].output[0]], None) cosine_spec = OpSpec("Cos", None, None) scale_spec = OpSpec("Scale", None, rff_output.field_blobs(), {'scale': scale}) ops_list = [ fc_spec, cosine_spec, scale_spec ] # Train net assertions self._test_net(train_net, ops_list) self._rff_hypothesis_test(rff_output(), X, W, b, scale) # Eval net assertions eval_net = self.get_eval_net() self._test_net(eval_net, ops_list) self._rff_hypothesis_test(rff_output(), X, W, b, scale) # Predict net assertions predict_net = self.get_predict_net() self._test_net(predict_net, ops_list) self._rff_hypothesis_test(rff_output(), X, W, b, scale) def _rff_hypothesis_test(self, rff_output, X, W, b, scale): """ Runs hypothesis test for Semi Random Features layer. Inputs: rff_output -- output of net after running random fourier features layer X -- input data W -- weight parameter from train_init_net b -- bias parameter from train_init_net scale -- value by which to scale the output vector """ output = workspace.FetchBlob(rff_output) output_ref = scale * np.cos(np.dot(X, np.transpose(W)) + b) npt.assert_allclose(output, output_ref, rtol=1e-4) @given( batch_size=st.integers(min_value=2, max_value=10), input_dims=st.integers(min_value=5, max_value=10), output_dims=st.integers(min_value=5, max_value=10), s=st.integers(min_value=0, max_value=3), scale=st.floats(min_value=0.1, max_value=5) ) def testArcCosineFeatureMap(self, batch_size, input_dims, output_dims, s, scale): X = np.random.normal(size=(batch_size, input_dims)).astype(np.float32) input_record = self.new_record(schema.Scalar((np.float32, (input_dims,)))) schema.FeedRecord(input_record, [X]) input_blob = input_record.field_blobs()[0] ac_output = self.model.ArcCosineFeatureMap(input_record, output_dims, s=s, scale=scale) self.model.output_schema = schema.Struct() self.assertEqual( schema.Scalar((np.float32, (output_dims, ))), ac_output ) init_ops_list = [ OpSpec("GaussianFill", None, None), OpSpec("UniformFill", None, None), ] train_init_net, train_net = self.get_training_nets() # Init net assertions init_ops = self._test_net(train_init_net, init_ops_list) workspace.RunNetOnce(self.model.param_init_net) W = workspace.FetchBlob(self.model.layers[0].random_w) b = workspace.FetchBlob(self.model.layers[0].random_b) # Operation specifications fc_spec = OpSpec("FC", [input_blob, init_ops[0].output[0], init_ops[1].output[0]], None) gt_spec = OpSpec("GT", None, None, {'broadcast': 1}) cast_spec = OpSpec("Cast", None, ac_output.field_blobs()) relu_spec = OpSpec("Relu", None, None) relu_spec_output = OpSpec("Relu", None, ac_output.field_blobs()) pow_spec = OpSpec("Pow", None, None, {'exponent': float(s - 1)}) mul_spec = OpSpec("Mul", None, ac_output.field_blobs()) if s == 0: ops_list = [ fc_spec, gt_spec, cast_spec, ] elif s == 1: ops_list = [ fc_spec, relu_spec_output, ] else: ops_list = [ fc_spec, relu_spec, pow_spec, mul_spec, ] # Train net assertions self._test_net(train_net, ops_list) self._arc_cosine_hypothesis_test(ac_output(), X, W, b, s) # Eval net assertions eval_net = self.get_eval_net() self._test_net(eval_net, ops_list) self._arc_cosine_hypothesis_test(ac_output(), X, W, b, s) # Predict net assertions predict_net = self.get_predict_net() self._test_net(predict_net, ops_list) self._arc_cosine_hypothesis_test(ac_output(), X, W, b, s) def _arc_cosine_hypothesis_test(self, ac_output, X, W, b, s): """ Runs hypothesis test for Arc Cosine layer. Inputs: ac_output -- output of net after running arc cosine layer X -- input data W -- weight parameter from train_init_net b -- bias parameter from train_init_net s -- degree parameter """ # Get output from net net_output = workspace.FetchBlob(ac_output) # Computing output directly x_rand = np.matmul(X, np.transpose(W)) + b x_pow = np.power(x_rand, s) h_rand_features = np.piecewise(x_rand, [x_rand <= 0, x_rand > 0], [0, 1]) output_ref = np.multiply(x_pow, h_rand_features) # Comparing net output and computed output npt.assert_allclose(net_output, output_ref, rtol=1e-04)

[ "[email protected]" ]

[email protected]

75f729bc861f9e09e111d25926334f32e7145824

099deeb2c308bdc00a2c423743e4b2aacdac866c

/week1/searching_lyrics/youngyun.py

ba410784e8f79a376a70247b82107a7c61ea8364

[]

no_license

Joonsun-Hwang/coding-test-study-lamda

76fed2f18a3220f6731775984425dff49b4379eb

0632ec9dd60024203ed10ebeab07aa7da4782806

refs/heads/main

2023-05-01T21:31:48.174944

2021-05-05T09:48:23

329,205,708

0

1

null

UTF-8

Python

false

1,163

py

# 지나치게 코드가 길며 시간복잡도도 상당히 좋지 않음 글자를 하나하나 맞춰보는 경우 O(n^3)인 경우도 생성됨 def solution(words, queries): answer = [] print(words) for query in queries: match = 0 for word in words: flag = True j = 0 i = 0 if len(word) != len(query): # 애초에 길이가 다르면 비교 가치 없음 continue else: if query[0] == "?": # 처음엔 ? while query[i] == "?": # 언제까지 ? 인가? i += 1 for idx in range(i, len(query)): if query[idx] != word[idx]: flag = False if flag == True: match += 1 else: # 처음엔 문자 while query[i] != "?": i += 1 while word[j] == query[j]: j += 1 if i == j: match += 1 answer.append(match) return answer

[ "[email protected]" ]

[email protected]

e51ebc17d32c53b6a368d0019d094b269df2bf23

e44d77c4d22a9cd0aa0a536d6d4e522359eedc81

/trialscompendium/trials/api/urls.py

eb740a50c49131d2158a35228430de7d7ed74501

[ "MIT" ]

permissive

nkoech/trialscompendium

cfd3f65a88a32e3f71bc27cba6a4ae777e319af4

9cd2c28a22957b84d97d87eb6b7b9b1b8616bacb

refs/heads/master

2021-01-01T04:54:18.162744

2018-04-17T15:40:05

97,270,861

2

MIT

2018-02-15T09:48:23

2017-07-14T20:36:19

Python

UTF-8

Python

false

1,414

py

from django.conf.urls import url from .views import ( plot_views, trial_yield_views, treatment_views, ) # Treatment URLs urlpatterns = [ url( r'^treatment/$', treatment_views['TreatmentListAPIView'].as_view(), name='treatment_list' ), url( r'^treatment/create/$', treatment_views['TreatmentCreateAPIView'].as_view(), name='treatment_create' ), url( r'^treatment/(?P<pk>[\w-]+)/$', treatment_views['TreatmentDetailAPIView'].as_view(), name='treatment_detail' ), ] # Trial Yield URLs urlpatterns += [ url( r'^yield/$', trial_yield_views['TrialYieldListAPIView'].as_view(), name='trial_yield_list' ), url( r'^yield/create/$', trial_yield_views['TrialYieldCreateAPIView'].as_view(), name='trial_yield_create' ), url( r'^yield/(?P<pk>[\w-]+)/$', trial_yield_views['TrialYieldDetailAPIView'].as_view(), name='trial_yield_detail' ), ] # Plot URLs urlpatterns += [ url( r'^$', plot_views['PlotListAPIView'].as_view(), name='plot_list' ), url( r'^create/$', plot_views['PlotCreateAPIView'].as_view(), name='plot_create' ), url( r'^(?P<slug>[\w-]+)/$', plot_views['PlotDetailAPIView'].as_view(), name='plot_detail' ), ]

[ "[email protected]" ]

[email protected]

aec98a6c7f1944baa6fd27a6ecf9f0ca61fb45e8

cfa632132cd29a0b58e7f45b441ea4f62b0f5eba

/flytekit/models/admin/workflow.py

91e82252b40cf9f189066fa756e314dbf9e671ad

[ "Apache-2.0" ]

permissive

chixcode/flytekit

5b4f2e687e82a0d6527411afcdaf0929a94adb13

f901aee721847c6264d44079d4fa31a75b8876e1

refs/heads/master

2020-08-24T00:06:02.808187

2019-10-14T18:34:19

216,729,272

1

0

Apache-2.0

2019-10-22T05:22:01

2019-10-22T05:22:00

null

UTF-8

Python

false

3,275

py

from __future__ import absolute_import from flytekit.models import common as _common from flytekit.models.core import compiler as _compiler_models, identifier as _identifier from flyteidl.admin import workflow_pb2 as _admin_workflow class WorkflowSpec(_common.FlyteIdlEntity): def __init__(self, template): """ This object fully encapsulates the specification of a workflow :param flytekit.models.core.workflow.WorkflowTemplate template: """ self._template = template @property def template(self): """ :rtype: flytekit.models.core.workflow.WorkflowTemplate.WorkflowTemplate """ return self._template def to_flyte_idl(self): """ :rtype: flyteidl.admin.workflow_pb2.WorkflowSpec """ return _admin_workflow.WorkflowSpec( template=self._template.to_flyte_idl() ) @classmethod def from_flyte_idl(cls, pb2_object): """ :param pb2_object: flyteidl.admin.workflow_pb2.WorkflowSpec :rtype: WorkflowSpec """ return cls(WorkflowSpec.from_flyte_idl(pb2_object.template)) class Workflow(_common.FlyteIdlEntity): def __init__( self, id, closure ): """ :param flytekit.models.core.identifier.Identifier id: :param WorkflowClosure closure: """ self._id = id self._closure = closure @property def id(self): """ :rtype: flytekit.models.core.identifier.Identifier """ return self._id @property def closure(self): """ :rtype: WorkflowClosure """ return self._closure def to_flyte_idl(self): """ :rtype: flyteidl.admin.workflow_pb2.Workflow """ return _admin_workflow.Workflow( id=self.id.to_flyte_idl(), closure=self.closure.to_flyte_idl() ) @classmethod def from_flyte_idl(cls, pb2_object): """ :param flyteidl.admin.workflow_pb2.Workflow pb2_object: :return: Workflow """ return cls( id=_identifier.Identifier.from_flyte_idl(pb2_object.id), closure=WorkflowClosure.from_flyte_idl(pb2_object.closure) ) class WorkflowClosure(_common.FlyteIdlEntity): def __init__(self, compiled_workflow): """ :param flytekit.models.core.compiler.CompiledWorkflowClosure compiled_workflow: """ self._compiled_workflow = compiled_workflow @property def compiled_workflow(self): """ :rtype: flytekit.models.core.compiler.CompiledWorkflowClosure """ return self._compiled_workflow def to_flyte_idl(self): """ :rtype: flyteidl.admin.workflow_pb2.WorkflowClosure """ return _admin_workflow.WorkflowClosure( compiled_workflow=self.compiled_workflow.to_flyte_idl() ) @classmethod def from_flyte_idl(cls, p): """ :param flyteidl.admin.workflow_pb2.WorkflowClosure p: :rtype: WorkflowClosure """ return cls( compiled_workflow=_compiler_models.CompiledWorkflowClosure.from_flyte_idl(p.compiled_workflow) )

[ "[email protected]" ]

[email protected]

b3afe55fffeda671f0363abb51fa4c1e66106c94

79ed3f72555aad8548634f523f775f34cfe166e7

/catch/datasets/hag1.py

fdae6eb661d5e4cfaa9398d0e382898e7a03c753

[ "MIT" ]

permissive

John-Bioinfo/catch

a2ab188ed598767e7759f74227f24af2b284b379

fe63b86bc41396c1da0b449ac440c6ae9e52b2c5

refs/heads/master

2020-03-18T09:29:10.315733

2018-04-17T18:36:47

null

0

null

UTF-8

Python

false

451

py

"""Dataset with 'Human associated gemyvongvirus 1' sequences. A dataset with 2 'Human associated gemyvongvirus 1' genomes. THIS PYTHON FILE WAS GENERATED BY A COMPUTER PROGRAM! DO NOT EDIT! """ import sys from catch.datasets import GenomesDatasetSingleChrom __author__ = 'Hayden Metsky <[email protected]>' ds = GenomesDatasetSingleChrom(__name__, __file__, __spec__) ds.add_fasta_path("data/hag1.fasta", relative=True) sys.modules[__name__] = ds

[ "[email protected]" ]

[email protected]

1a9adb679879e2543ec9b2ab25ece1e16b986fb3

d569476dd95496339c34b231621ff1f5dfd7fe49

/PyTest/SampleWebsite/tests/Pages/FeedbackForm.py

9cd2c00d4dbc8431b3b190dfb5b56ffb0c4b290f

[]

no_license

monteua/Tests

10f21f9bae027ce1763c73e2ea7edaf436140eae

553e5f644466683046ea180422727ccb37967b98

refs/heads/master

2021-01-23T10:28:49.654273

2018-05-09T09:11:30

93,061,159

0

null

UTF-8

Python

false

3,914

py

from selenium.webdriver.common.by import By from selenium.webdriver.common.action_chains import ActionChains from selenium.common.exceptions import NoSuchElementException #page URL base_url = "CLASSIFIED" # page locators page_logo = "logo" company_moto = "//*[@class='col-xs-8 align-center']//p" company_name = "//*[@class='col-xs-8 align-center']//h1" mailing_list = "//*[@class='pointer']//span" mailing_list_popup = "modal-content" mailing_list_headline = "myModalLabel" class FeedbackForm(object): def __init__(self, driver): self.driver = driver def open_page(self): self.driver.get(base_url) # checking the position of the company logo def check_logo(self): logo = self.driver.find_element(By.CLASS_NAME, page_logo) logo_position = [logo.value_of_css_property("text-align"), logo.value_of_css_property("padding-left")] return logo_position # checking the css attributes of company moto def check_moto(self): moto = self.driver.find_element(By.XPATH, company_moto) font_size = moto.value_of_css_property("font-size") font_name = moto.value_of_css_property("font-family").split(",")[0] font_style = moto.value_of_css_property("font-style") text_centered = moto.value_of_css_property("text-align") return [font_size, font_name, font_style, text_centered] # checking the css attributes of company name def check_company_name(self): name = self.driver.find_element(By.XPATH, company_name) font_size = name.value_of_css_property("font-size") font_name = name.value_of_css_property("font-family").split(",")[0] text_centered = name.value_of_css_property("text-align") return [font_size, font_name, text_centered] # checking the css attributes of mailing list button def check_attr_of_mailing_list(self): mailing_list_btn = self.driver.find_element(By.XPATH, mailing_list) btn_text = mailing_list_btn.text font_size = mailing_list_btn.value_of_css_property("font-size") font_name = mailing_list_btn.value_of_css_property("font-family").split(",")[0] #move the mouse pointer to see if text turns yellow start_color = mailing_list_btn.value_of_css_property("color") ActionChains(self.driver).move_to_element(mailing_list_btn).perform() color_changed = mailing_list_btn.value_of_css_property("color") return [btn_text, font_size, font_name, start_color, color_changed] # checking if the Mailing List button opens pop-up def check_mailing_list_popup(self): mailing_list_btn = self.driver.find_element(By.XPATH, mailing_list) mailing_list_btn.click() try: pop_up = self.driver.find_element(By.CLASS_NAME, mailing_list_popup) if pop_up.is_displayed: return True else: return False except NoSuchElementException: return False # checking if the headline in mailing list matches desired one def check_mailing_list_headline(self): mailing_list_btn = self.driver.find_element(By.XPATH, mailing_list) mailing_list_btn.click() return self.driver.find_element(By.ID, mailing_list_headline) # checking the attributes ofthe mailing list headline def check_attr_of_mailing_list_headline(self): mailing_list_btn = self.driver.find_element(By.XPATH, mailing_list) mailing_list_btn.click() headline = self.driver.find_element(By.ID, mailing_list_headline) size = headline.value_of_css_property("font-size") font_family = headline.value_of_css_property("font-family").split(",")[0] is_centered = headline.value_of_css_property("text-align") if is_centered == "center": return [size, font_family, True] return [size, font_family, False]

[ "[email protected]" ]

[email protected]

0f4aaf1913e904c2aa767b8653cd38ce34ff30bf

18eef6419da5721139df45b92c7557dbfa654347

/apps/users/migrations/0004_auto_20180529_2258.py

40546c416a804fa94b82a01a3ea68690b306a82b

[]

no_license

taoing/pymx

a36989f805c760b535954a0056dcbd8180b32ea3

3f24b8d417f1c1896cab73c623ab9774807f520d

refs/heads/master

2020-03-18T20:58:37.435126

2018-06-09T15:16:49

135,250,436

0

null

UTF-8

Python

false

583

py

# Generated by Django 2.0.3 on 2018-05-29 22:58 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('users', '0003_auto_20180529_1658'), ] operations = [ migrations.AlterField( model_name='user', name='address', field=models.CharField(blank=True, max_length=100, null=True), ), migrations.AlterField( model_name='user', name='nickname', field=models.CharField(blank=True, max_length=50, null=True), ), ]

[ "=" ]

=

762bbd897e6f2e90c32606aa1aa9c01022761f67

27a4eaa9b7052d3d65dd6c63952ac3055c73fbf0

/ztst/tweet_100th.py

1d0d4b8246f3b8f2602b011ce8729e61c5b6ef7b

[]

no_license

tobby2002/vec4ir

84f4695dc0a58f6cca6aff3c970167893a5d8c68

8acd1e91cd9eb0a8625bdf18cc3c37d2b7cc2a44

refs/heads/master

2021-06-19T20:42:15.913189

2021-03-21T10:31:35

190,150,202

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2019-06-04T07:19:09

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from sklearn.feature_extraction.text import TfidfVectorizer words = ['the cat sat on the mat cat', 'the fat rat sat on a mat', 'the bat and a rat sat on a mat'] tfidf_vectorizer = TfidfVectorizer(min_df=1, use_idf=True) tfidf_matrix = tfidf_vectorizer.fit_transform(words) terms_name = tfidf_vectorizer.get_feature_names() toarry=tfidf_matrix.todense() for i in tfidf_matrix.toarray(): print(zip(terms_name, i)) print('i:', i) # [(u'and', 0.0), (u'bat', 0.0), (u'cat', 0.78800079617844954), (u'fat', 0.0), (u'mat', 0.23270298212286766), (u'on', 0.23270298212286766), (u'rat', 0.0), (u'sat', 0.23270298212286766), (u'the', 0.46540596424573533)] # [(u'and', 0.0), (u'bat', 0.0), (u'cat', 0.0), (u'fat', 0.57989687146162439), (u'mat', 0.34249643393071422), (u'on', 0.34249643393071422), (u'rat', 0.44102651785124652), (u'sat', 0.34249643393071422), (u'the', 0.34249643393071422)] # [(u'and', 0.50165133177159349), (u'bat', 0.50165133177159349), (u'cat', 0.0), (u'fat', 0.0), (u'mat', 0.29628335772067432), (u'on', 0.29628335772067432), (u'rat', 0.38151876810273028), (u'sat', 0.29628335772067432), (u'the', 0.29628335772067432)]

[ "tobby2002@gmailcom" ]

tobby2002@gmailcom

7f4f6dc4aceff10b6bbf67daff605692bd017395

cd08fe6948d6b743419cc5904764374dfaa7a0e2

/apps/accounts/migrations/0001_initial.py

a140f0102164820ce482bef0d4416ca27406e347

[]

no_license

divisible-by-hero/central-station

2af493097be75a3c0299d9a10e76fafa8896cb66

f6bc8a9cb9a502ffc49164187ebdcde2b51619c5

refs/heads/develop

2021-01-20T02:20:39.027229

2014-01-29T20:11:12

955,878

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null

2014-01-29T20:11:12

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# -*- coding: utf-8 -*- import datetime from south.db import db from south.v2 import SchemaMigration from django.db import models class Migration(SchemaMigration): def forwards(self, orm): # Adding model 'Account' db.create_table('accounts_account', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('company_name', self.gf('django.db.models.fields.CharField')(max_length=250, null=True, blank=True)), ('slug', self.gf('django.db.models.fields.SlugField')(max_length=50)), ('is_active', self.gf('django.db.models.fields.BooleanField')(default=False)), ('is_deleted', self.gf('django.db.models.fields.BooleanField')(default=False)), )) db.send_create_signal('accounts', ['Account']) # Adding model 'Team' db.create_table('accounts_team', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('deleted', self.gf('django.db.models.fields.BooleanField')(default=False)), ('deleted_date', self.gf('django.db.models.fields.DateField')(null=True, blank=True)), ('created_date', self.gf('django.db.models.fields.DateField')(null=True, blank=True)), ('name', self.gf('django.db.models.fields.CharField')(max_length=250, null=True, blank=True)), ('organization', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['accounts.Account'])), )) db.send_create_signal('accounts', ['Team']) # Adding model 'UserProfile' db.create_table('accounts_userprofile', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('deleted', self.gf('django.db.models.fields.BooleanField')(default=False)), ('deleted_date', self.gf('django.db.models.fields.DateField')(null=True, blank=True)), ('created_date', self.gf('django.db.models.fields.DateField')(null=True, blank=True)), ('user', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['auth.User'])), )) db.send_create_signal('accounts', ['UserProfile']) # Adding M2M table for field teams on 'UserProfile' db.create_table('accounts_userprofile_teams', ( ('id', models.AutoField(verbose_name='ID', primary_key=True, auto_created=True)), ('userprofile', models.ForeignKey(orm['accounts.userprofile'], null=False)), ('team', models.ForeignKey(orm['accounts.team'], null=False)) )) db.create_unique('accounts_userprofile_teams', ['userprofile_id', 'team_id']) # Adding model 'Role' db.create_table('accounts_role', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('deleted', self.gf('django.db.models.fields.BooleanField')(default=False)), ('deleted_date', self.gf('django.db.models.fields.DateField')(null=True, blank=True)), ('created_date', self.gf('django.db.models.fields.DateField')(null=True, blank=True)), ('name', self.gf('django.db.models.fields.CharField')(max_length=250)), )) db.send_create_signal('accounts', ['Role']) # Adding model 'RoleAssigned' db.create_table('accounts_roleassigned', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('deleted', self.gf('django.db.models.fields.BooleanField')(default=False)), ('deleted_date', self.gf('django.db.models.fields.DateField')(null=True, blank=True)), ('created_date', self.gf('django.db.models.fields.DateField')(null=True, blank=True)), ('user', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['auth.User'])), ('team', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['accounts.Team'])), ('role', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['accounts.Role'])), )) db.send_create_signal('accounts', ['RoleAssigned']) def backwards(self, orm): # Deleting model 'Account' db.delete_table('accounts_account') # Deleting model 'Team' db.delete_table('accounts_team') # Deleting model 'UserProfile' db.delete_table('accounts_userprofile') # Removing M2M table for field teams on 'UserProfile' db.delete_table('accounts_userprofile_teams') # Deleting model 'Role' db.delete_table('accounts_role') # Deleting model 'RoleAssigned' db.delete_table('accounts_roleassigned') models = { 'accounts.account': { 'Meta': {'object_name': 'Account'}, 'company_name': ('django.db.models.fields.CharField', [], {'max_length': '250', 'null': 'True', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'is_deleted': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'slug': ('django.db.models.fields.SlugField', [], {'max_length': '50'}) }, 'accounts.role': { 'Meta': {'object_name': 'Role'}, 'created_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}), 'deleted': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'deleted_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '250'}) }, 'accounts.roleassigned': { 'Meta': {'object_name': 'RoleAssigned'}, 'created_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}), 'deleted': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'deleted_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'role': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['accounts.Role']"}), 'team': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['accounts.Team']"}), 'user': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['auth.User']"}) }, 'accounts.team': { 'Meta': {'object_name': 'Team'}, 'created_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}), 'deleted': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'deleted_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '250', 'null': 'True', 'blank': 'True'}), 'organization': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['accounts.Account']"}) }, 'accounts.userprofile': { 'Meta': {'object_name': 'UserProfile'}, 'created_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}), 'deleted': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'deleted_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'teams': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['accounts.Team']", 'symmetrical': 'False'}), 'user': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['auth.User']"}) }, 'auth.group': { 'Meta': {'object_name': 'Group'}, 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '80'}), 'permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'}) }, 'auth.permission': { 'Meta': {'ordering': "('content_type__app_label', 'content_type__model', 'codename')", 'unique_together': "(('content_type', 'codename'),)", 'object_name': 'Permission'}, 'codename': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'content_type': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['contenttypes.ContentType']"}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '50'}) }, 'auth.user': { 'Meta': {'object_name': 'User'}, 'date_joined': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}), 'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'blank': 'True'}), 'first_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}), 'groups': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Group']", 'symmetrical': 'False', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}), 'is_staff': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'is_superuser': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'last_login': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}), 'last_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}), 'password': ('django.db.models.fields.CharField', [], {'max_length': '128'}), 'user_permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'}), 'username': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '30'}) }, 'contenttypes.contenttype': { 'Meta': {'ordering': "('name',)", 'unique_together': "(('app_label', 'model'),)", 'object_name': 'ContentType', 'db_table': "'django_content_type'"}, 'app_label': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'model': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '100'}) } } complete_apps = ['accounts']

[ "[email protected]" ]

[email protected]

f0ac9ae13d2122d7c283b67e7d26a9210686fa38

b08d42933ac06045905d7c005ca9c114ed3aecc0

/src/coefSubset/evaluate/ranks/fiftyPercent/rank_4q5e_G.py

afe9e17d1c84d179371c4fcf47787fee1df0ea11

[]

no_license

TanemuraKiyoto/PPI-native-detection-via-LR

d148d53f5eb60a4dda5318b371a3048e3f662725

897e7188b0da94e87126a4acc0c9a6ff44a64574

refs/heads/master

2022-12-05T11:59:01.014309

2020-08-10T00:41:17

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# 9 July 2019 # Kiyoto Aramis Tanemura # Several metrics are used to assess the performance of the trained RF model, notably native ranking. This script returns a ranking of the native protein-protein complex among a decoy set. For convenience, I will define as a function and will call in a general performance assessment script. # Modified 11 July 2019 by Kiyoto Aramis Tanemura. To parallelize the process, I will replace the for loop for the testFileList to a multiprocessing pool. # Modified 9 September 2019 by Kiyoto Aramis Tanemura. I will use the function to perform the calculation on one CSV file only. Thus instead of a function to import in other scripts, they will be individual jobs parallelized as individual jobs in the queue. import os import pandas as pd import numpy as np import pickle os.chdir('/mnt/scratch/tanemur1/') # Read the model and trainFile testFile = '4q5e.csv' identifier = 'G' coefFrac = 0.5 testFilePath = '/mnt/scratch/tanemur1/CASF-PPI/nonb_descriptors/complete/' modelPath = '/mnt/home/tanemur1/6May2019/2019-11-11/results/coefSubset/fiftyPercent/' outputPath = '/mnt/home/tanemur1/6May2019/2019-11-11/results/coefSubset/evaluate/fiftyPercent/ranks/' pdbID = testFile[:4] with open(modelPath + 'model' + identifier + '.pkl', 'rb') as f: clf = pickle.load(f) result = pd.DataFrame() scoreList = [] df1 = pd.read_csv(testFilePath + testFile) dropList = ['Unnamed: 0', 'Unnamed: 0.1', 'ref'] df1 = df1.drop(dropList, axis = 1) df1 = df1.set_index('Pair_name') df1 = pd.DataFrame(df1.values.T, columns = df1.index, index = df1.columns) df1.fillna(0.0, inplace = True) #df1 = df1.reindex(sorted(df1.columns), axis = 1) # Keep coefficients within the given fraction when ordered by decreasing order of coefficient magnitude coefs = pd.read_csv('/mnt/home/tanemur1/6May2019/2019-11-11/results/medianCoefs.csv', index_col = 0, header = None, names = ['coefficients']) coefs['absVal'] = np.abs(coefs['coefficients']) coefs.sort_values(by = 'absVal', ascending = False, inplace = True) coefs = coefs[:int(14028 * coefFrac + 0.5)] keepList = list(coefs.index) del coefs df1 = df1[keepList] df1 = df1.reindex(sorted(df1.columns), axis = 1) with open(modelPath + 'standardScaler' + identifier + '.pkl', 'rb') as g: scaler = pickle.load(g) for i in range(len(df1)): # subtract from one row each row of the dataframe, then remove the trivial row[[i]] - row[[i]]. Also some input files have 'class' column. This is erroneous and is removed. df2 = pd.DataFrame(df1.iloc[[i]].values - df1.values, index = df1.index, columns = df1.columns) df2 = df2.drop(df1.iloc[[i]].index[0], axis = 0) # Standardize inut DF using the standard scaler used for training data. df2 = scaler.transform(df2) # Predict class of each comparison descriptor and sum the classes to obtain score. Higher score corresponds to more native-like complex predictions = clf.predict(df2) score = sum(predictions) scoreList.append(score) # Make a new DataFrame to store the score and corresponding descriptorID. Add rank as column. Note: lower rank corresponds to more native-like complex result = pd.DataFrame(data = {'score': scoreList}, index = df1.index.tolist()).sort_values(by = 'score', ascending = False) result['rank'] = range(1, len(result) + 1) with open(outputPath + pdbID + identifier + '.csv', 'w') as h: result.to_csv(h)

[ "[email protected]" ]

[email protected]

396e5b33aa1c7bb304b0785bb82b1573c352d6c1

5598c24e484177d6a5b0772013247e3118c6dcf1

/spatialmath/base/__init__.py

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[ "MIT" ]

permissive

krenshaw2018/spatialmath-python

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95629b378422d58a4c77c62ebf3b189ef7a42824

refs/heads/master

2023-03-28T21:14:03.992328

2021-04-06T10:36:53

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# Part of Spatial Math Toolbox for Python # Copyright (c) 2000 Peter Corke # MIT Licence, see details in top-level file: LICENCE from spatialmath.base.argcheck import * # lgtm [py/polluting-import] from spatialmath.base.quaternions import * # lgtm [py/polluting-import] from spatialmath.base.transforms2d import * # lgtm [py/polluting-import] from spatialmath.base.transforms3d import * # lgtm [py/polluting-import] from spatialmath.base.transformsNd import * # lgtm [py/polluting-import] from spatialmath.base.vectors import * # lgtm [py/polluting-import] from spatialmath.base.symbolic import * # lgtm [py/polluting-import] from spatialmath.base.animate import * # lgtm [py/polluting-import] from spatialmath.base.graphics import * # lgtm [py/polluting-import] from spatialmath.base.numeric import * # lgtm [py/polluting-import] __all__ = [ # spatialmath.base.argcheck 'assertmatrix', 'ismatrix', 'getvector', 'assertvector', 'isvector', 'isscalar', 'getunit', 'isnumberlist', 'isvectorlist', # spatialmath.base.quaternions 'pure', 'qnorm', 'unit', 'isunit', 'isequal', 'q2v', 'v2q', 'qqmul', 'inner', 'qvmul', 'vvmul', 'qpow', 'conj', 'q2r', 'r2q', 'slerp', 'rand', 'matrix', 'dot', 'dotb', 'angle', 'qprint', # spatialmath.base.transforms2d 'rot2', 'trot2', 'transl2', 'ishom2', 'isrot2', 'trlog2', 'trexp2', 'tr2jac2', 'trinterp2', 'trprint2', 'trplot2', 'tranimate2', 'xyt2tr', 'tr2xyt', 'trinv2', # spatialmath.base.transforms3d 'rotx', 'roty', 'rotz', 'trotx', 'troty', 'trotz', 'transl', 'ishom', 'isrot', 'rpy2r', 'rpy2tr', 'eul2r', 'eul2tr', 'angvec2r', 'angvec2tr', 'oa2r', 'oa2tr', 'tr2angvec', 'tr2eul', 'tr2rpy', 'trlog', 'trexp', 'trnorm', 'trinterp', 'delta2tr', 'trinv', 'tr2delta', 'tr2jac', 'rpy2jac', 'eul2jac', 'exp2jac', 'rot2jac', 'trprint', 'trplot', 'tranimate', # spatialmath.base.transformsNd 't2r', 'r2t', 'tr2rt', 'rt2tr', 'Ab2M', 'isR', 'isskew', 'isskewa', 'iseye', 'skew', 'vex', 'skewa', 'vexa', 'h2e', 'e2h', 'homtrans', 'rodrigues', # spatialmath.base.vectors 'colvec', 'unitvec', 'unitvec_norm', 'norm', 'normsq', 'isunitvec', 'iszerovec', 'isunittwist', 'isunittwist2', 'unittwist', 'unittwist_norm', 'unittwist2', 'angdiff', 'removesmall', 'cross', 'iszero', # spatialmath.base.animate 'Animate', 'Animate2', #spatial.base.graphics 'plotvol2', 'plotvol3', 'plot_point', 'plot_text', 'plot_box', 'circle', 'ellipse', 'sphere', 'ellipsoid', 'plot_circle', 'plot_ellipse', 'plot_sphere', 'plot_ellipsoid', 'isnotebook', # spatial.base.numeric 'numjac', ]

[ "[email protected]" ]

[email protected]

482a8b9237a2c8bf0e2469c9062327966a46c836

ccc407c900ac36c57f2716adcdd28f38108d62ef

/models.py

a2cb7960d1b4b75f3ca645404af912b5cd09e2ce

[]

no_license

uditduhan23/YT_FastAPI_Celery_Redis_Flower_Introduction

d1b3f2f361ae0dc11be39eded78ccde45724b45e

124b35e3af08330cd89f3658906ec54b2f623b46

refs/heads/main

2023-06-16T23:30:36.456816

2021-07-16T14:42:16

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from sqlalchemy import Column, DateTime, Integer, String from sqlalchemy.sql import func from db_conf import Base class Post(Base): __tablename__ = "post" id = Column(Integer, primary_key=True, index=True) title = Column(String) author = Column(String) content = Column(String) time_created = Column(DateTime(timezone=True), server_default=func.now()) class User(Base): __tablename__ = "user" id = Column(Integer, primary_key=True, index=True) username = Column(String, unique=True) password = Column(String(255))

[ "[email protected]" ]

[email protected]

9eb3b5e4e4cdd96a839e5c24b404869c18d5e9ee

480e33f95eec2e471c563d4c0661784c92396368

/GeneratorInterface/GenFilters/test/test_isotrack_cfg.py

af5d058a84dc0c93779710cc9bfda12f465b9313

[ "Apache-2.0" ]

permissive

cms-nanoAOD/cmssw

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4eccb8a758b605875003124dd55ea58552b86af1

refs/heads/master-cmsswmaster

2021-01-23T21:19:52.295420

2020-08-27T08:01:20

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2022-05-23T07:58:09

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import FWCore.ParameterSet.Config as cms process = cms.Process("TEST") process.load("FWCore.Framework.test.cmsExceptionsFatal_cff") process.load("Configuration.StandardSequences.Services_cff") process.load("SimGeneral.HepPDTESSource.pythiapdt_cfi") process.load("Configuration.EventContent.EventContent_cff") process.load("Configuration.Generator.QCDForPF_14TeV_TuneCUETP8M1_cfi") process.RandomNumberGeneratorService = cms.Service("RandomNumberGeneratorService", generator = cms.PSet( initialSeed = cms.untracked.uint32(123456789), engineName = cms.untracked.string('HepJamesRandom') ) ) # The following three lines reduce the clutter of repeated printouts # of the same exception message. process.load("FWCore.MessageLogger.MessageLogger_cfi") process.MessageLogger.categories.append('PythiaFilter') process.maxEvents = cms.untracked.PSet(input = cms.untracked.int32(1000)) process.source = cms.Source("EmptySource") process.load("GeneratorInterface.GenFilters.PythiaFilterIsolatedTrack_cfi") process.GEN = cms.OutputModule("PoolOutputModule", fileName = cms.untracked.string('QCD14TeVIsoTrack.root'), SelectEvents = cms.untracked.PSet( SelectEvents = cms.vstring('p') ), dataset = cms.untracked.PSet( dataTier = cms.untracked.string('GEN') ) ) process.isotrack_filter.minSeedEta = 2.0 process.isotrack_filter.maxSeedEta = 3.0 process.p = cms.Path(process.generator * process.isotrack_filter) process.outpath = cms.EndPath(process.GEN) process.schedule = cms.Schedule(process.p, process.outpath)

[ "[email protected]" ]

[email protected]

d46c7e58abc3648273a301b1ff3f9c4f7e2b1214

2c0e8fa208f59fb3d23c7257cb9cff426fa16d85

/ga4gh/backend.py

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melaniedc/server

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refs/heads/master

2020-02-26T16:09:18.162175

2015-01-30T14:52:46

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""" Module responsible for handling protocol requests and returning responses. """ from __future__ import division from __future__ import print_function from __future__ import unicode_literals import os import ga4gh.protocol as protocol class Backend(object): """ The GA4GH backend. This class provides methods for all of the GA4GH protocol end points. """ def __init__(self, dataDir, variantSetClass): self._dataDir = dataDir self._variantSetIdMap = {} # All directories in datadir are assumed to correspond to VariantSets. for variantSetId in os.listdir(self._dataDir): relativePath = os.path.join(self._dataDir, variantSetId) if os.path.isdir(relativePath): self._variantSetIdMap[variantSetId] = variantSetClass( variantSetId, relativePath) self._variantSetIds = sorted(self._variantSetIdMap.keys()) def parsePageToken(self, pageToken, numValues): """ Parses the specified pageToken and returns a list of the specified number of values. Page tokens are assumed to consist of a fixed number of integers seperated by colons. If the page token does not conform to this specification, raise a InvalidPageToken exception. """ tokens = pageToken.split(":") # TODO define exceptions.InvalidPageToken and raise here. if len(tokens) != numValues: raise Exception("Invalid number of values in page token") # TODO catch a ValueError here when bad integers are passed and # convert this into the appropriate InvalidPageToken exception. values = map(int, tokens) return values def runSearchRequest( self, requestStr, requestClass, responseClass, pageListName, objectGenerator): """ Runs the specified request. The request is a string containing a JSON representation of an instance of the specified requestClass in which the page list variable has the specified pageListName. We return a string representation of an instance of the specified responseClass in JSON format. Objects are filled into the page list using the specified object generator, which must return (object, nextPageToken) pairs, and be able to resume iteration from any point using the nextPageToken attribute of the request object. """ # TODO change this to fromJSONDict and validate request = requestClass.fromJSONString(requestStr) pageList = [] nextPageToken = None for obj, nextPageToken in objectGenerator(request): pageList.append(obj) if len(pageList) >= request.pageSize: break response = responseClass() response.nextPageToken = nextPageToken setattr(response, pageListName, pageList) return response.toJSONString() def searchVariantSets(self, request): """ Returns a GASearchVariantSetsResponse for the specified GASearchVariantSetsRequest object. """ return self.runSearchRequest( request, protocol.GASearchVariantSetsRequest, protocol.GASearchVariantSetsResponse, "variantSets", self.variantSetsGenerator) def searchVariants(self, request): """ Returns a GASearchVariantsResponse for the specified GASearchVariantsRequest object. """ return self.runSearchRequest( request, protocol.GASearchVariantsRequest, protocol.GASearchVariantsResponse, "variants", self.variantsGenerator) def variantSetsGenerator(self, request): """ Returns a generator over the (variantSet, nextPageToken) pairs defined by the speficied request. """ currentIndex = 0 if request.pageToken is not None: currentIndex, = self.parsePageToken(request.pageToken, 1) while currentIndex < len(self._variantSetIds): variantSet = protocol.GAVariantSet() variantSet.id = self._variantSetIds[currentIndex] variantSet.datasetId = "NotImplemented" variantSet.metadata = self._variantSetIdMap[ variantSet.id].getMetadata() currentIndex += 1 nextPageToken = None if currentIndex < len(self._variantSetIds): nextPageToken = str(currentIndex) yield variantSet, nextPageToken def variantsGenerator(self, request): """ Returns a generator over the (variant, nextPageToken) pairs defined by the specified request. """ variantSetIds = request.variantSetIds startVariantSetIndex = 0 startPosition = request.start if request.pageToken is not None: startVariantSetIndex, startPosition = self.parsePageToken( request.pageToken, 2) for variantSetIndex in range(startVariantSetIndex, len(variantSetIds)): variantSetId = variantSetIds[variantSetIndex] if variantSetId in self._variantSetIdMap: variantSet = self._variantSetIdMap[variantSetId] iterator = variantSet.getVariants( request.referenceName, startPosition, request.end, request.variantName, request.callSetIds) for variant in iterator: nextPageToken = "{0}:{1}".format( variantSetIndex, variant.start + 1) yield variant, nextPageToken class MockBackend(Backend): """ A mock Backend class for testing. """ def __init__(self, dataDir=None): # TODO make a superclass of backend that does this # automatically without needing to know about the internal # details of the backend. self._dataDir = None self._variantSetIdMap = {} self._variantSetIds = []

[ "[email protected]" ]

[email protected]

d06f9c02053dbaa64d0db28cc52b7690a08a2160

adc6d8ee596e4710c3241332758bb6990bdd8914

/subData/ejemplos ROI/ROI_V3.py

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[]

no_license

NatalyTinoco/Trabajo-de-grado_Artefactos

cf9491c47a8a23ce5bab7c52498093a61319f834

5cc4e009f94c871c7ed0d820eb113398ac66ec2f

refs/heads/master

2022-03-20T00:51:48.420253

2019-11-24T19:10:40

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UTF-8

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# -*- coding: utf-8 -*- """ Created on Mon Jul 15 22:32:38 2019 @author: Nataly """ import cv2 import pylab as plt from matplotlib import pyplot as plt import numpy as np from pylab import * from readimg import read_img #leer imagines ### img=read_img(imgfile)## from skimage.morphology import disk from skimage.filters import threshold_otsu from skimage.filters import threshold_li from skimage.filters import threshold_minimum from skimage.filters import threshold_triangle from skimage.filters import try_all_threshold from skimage.filters import threshold_otsu, threshold_local from PIL import ImageEnhance from PIL import Image import glob from skimage.segmentation import flood, flood_fill for imgfile in glob.glob("*.jpg"): ima=read_img(imgfile) """ # Primera forma #""" imR, imG, II=cv2.split(ima) """ #Segunda forma #""" #imA=cv2.cvtColor(ima,cv2.COLOR_RGB2HSV) #I,I,II=cv2.split(imA) """ # Tercera forma #""" #imA=cv2.cvtColor(ima,cv2.COLOR_RGB2XYZ) #I,I,II=cv2.split(imA) #fig, ax = try_all_threshold(II, figsize=(10, 8), verbose=False) #plt.show() #block_size = 51 #thresh = threshold_local(II, block_size, offset=10) thresh = threshold_li(II) #thresh=threshold_minimum(II) #thresh=threshold_otsu(II) #thresh=threshold_triangle(II) #ret3,thresh= cv2.threshold(II,0,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU) binary = II > thresh #""" binary = (binary*255).astype(np.uint8) #plt.imshow(binary, cmap=plt.cm.gray) #plt.show() #""" ### Transformaciones Morfologicas kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (20, 20)) opening = cv2.morphologyEx(binary, cv2.MORPH_OPEN, kernel) #dilation = cv2.dilate(opening,kernel,iterations = 1) kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (37, 37)) close=cv2.morphologyEx(opening, cv2.MORPH_CLOSE, kernel) #plt.imshow(close, cmap=plt.cm.gray) #plt.show() dire='./segROI/#3/B/'+imgfile #img=cv2.cvtColor(im,cv2.COLOR_BGR2RGB) cv2.imwrite(dire,close) print(imgfile) k = cv2.waitKey(1000) #destroy the window cv2.destroyAllWindows() #"""

[ "[email protected]" ]

[email protected]

5b01a0dbeb188b5186ce2c9757ac5da7a4312aa3

8e00a42f935ee15ed0dd27241f30fd2a909891c2

/config.py

481a95097620da6d15f1258a08e9dbf541d129a4

[]

no_license

MrBrunotte/Microblog

c17965cc34b42332b95748adae75bd0abdd17996

b1f33a843d717685481c22ab203c740a589177f2

refs/heads/master

2020-06-30T10:44:22.527410

2019-08-11T15:00:40

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import os basedir = os.path.abspath(os.path.dirname(__file__)) class Config(object): SECRET_KEY = os.environ.get('SECRET_KEY') or 'you-will-never-guess' SQLALCHEMY_DATABASE_URI = os.environ.get('DATABASE_URL') or \ 'sqlite:///' + os.path.join(basedir, 'app.db') SQLALCHEMY_TRACK_MODIFICATIONS = False MAIL_SERVER = os.environ.get('MAIL_SERVER') MAIL_PORT = int(os.environ.get('MAIL_PORT') or 25) MAIL_USE_TLS = os.environ.get('MAIL_USE_TLS') is not None MAIL_USERNAME = os.environ.get('MAIL_USERNAME') MAIL_PASSWORD = os.environ.get('MAIL_PASSWORD') ADMINS = ['[email protected]'] LANGUAGES = ['en', 'es', 'se'] POSTS_PER_PAGE = 25

[ "[email protected]" ]

[email protected]

e2cc047b7cd5216552d5667bf63496afc02e548b

e74463d223acfe6b849177177cb409060e7a44d1

/Data Structures and Algorithms/01 Algorithmic Toolbox/Week 4 - Divide-and-Conquer/poly_mult.py

3d6d01b5f543a0a0108a339b3a2bfa564fdb5742

[]

no_license

AlexEngelhardt-old/courses

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739be99265b0aca1c58abe6f107b4c49de055b9d

refs/heads/master

2023-05-05T22:25:50.327739

2020-12-09T14:57:46

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def lfill(arr, length): """Prepends [0] elements to arr so that its total length is at least length.""" return [0] * (length - len(arr)) + arr def poly_mult_naive(A, B): """Naive O(n^2) implementation of polynomial multiplication. A and B are coefficient arrays: Example ------- A = 3x^2 + 2x + 5 B = 5x^2 + x + 2 A * B = 15x^4 + 13x^3 + 33x^2 + 9x + 10 >>> poly_mult([3, 2, 5], [5, 1, 2]) [15, 13, 33, 9, 10] >>> poly_mult([3, 2, 5], [4]) [12, 8, 20] """ n = max(len(A), len(B)) A = lfill(A, n) B = lfill(B, n) res = [0] * (2*n - 1) for i in range(n): for j in range(n): res[i+j] += A[i] * B[j] # If there are leading zeroes, remove them again: while(res[0] == 0): del res[0] return res def poly_mult_better(A, B): """Divide-and-conquer implementation for polynomial multiplication. Still a bit naive though. Idea: Split up A into D1 and D0, each of degree n/2. e.g. A = [4, 3, 2, 1], then D1 = [4, 3] and D2 = [2, 1] Just split them up, no computation necessary. Split B into E1 and E0 in the same way. Then AB = D1*E1 * x^n + (D1*E0 + D0*E1) * x^(n/2) + D0*E0 Runtime: T(n) = 4 * T(n/2) + kn Total runtime: O(n^2) """ # Meh, I'll skip this pass def poly_mult_fast(A, B): """By Karatsuba""" # meh. return [1, 2, 3] if __name__ == "__main__": print(poly_mult_naive([3, 2, 5], [5, 1, 2])) print(poly_mult_fast([3, 2, 5], [5, 1, 2])) print('---') print(poly_mult_naive([3, 2, 5], [4])) print(poly_mult_fast([3, 2, 5], [4]))

[ "[email protected]" ]

[email protected]

3c21c874290414cd6192f699632f2e64c674bd1f

46e1db8df96707d3a2effbdea6d06e3622c7ecd7

/tensorflow/contrib/distributions/python/kernel_tests/mvn_diag_plus_low_rank_test.py

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permissive

adammalpass/tensorflow

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b340000aeeb2eae9b48354e42177fb03b30860db

refs/heads/master

2021-01-22T08:33:52.824616

2017-02-20T09:04:33

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2017-02-14T05:37:57

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# Copyright 2016 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Tests for MultivariateNormal.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import numpy as np from tensorflow.contrib import distributions from tensorflow.python.ops import math_ops from tensorflow.python.platform import test ds = distributions class MultivariateNormalDiagPlusLowRankTest(test.TestCase): """Well tested because this is a simple override of the base class.""" def setUp(self): self._rng = np.random.RandomState(42) def testDiagBroadcastBothBatchAndEvent(self): # batch_shape: [3], event_shape: [2] diag = np.array([[1., 2], [3, 4], [5, 6]]) # batch_shape: [1], event_shape: [] identity_multiplier = np.array([5.]) with self.test_session(): dist = ds.MultivariateNormalDiagPlusLowRank( scale_diag=diag, scale_identity_multiplier=identity_multiplier, validate_args=True) self.assertAllClose( np.array([[[1. + 5, 0], [0, 2 + 5]], [[3 + 5, 0], [0, 4 + 5]], [[5 + 5, 0], [0, 6 + 5]]]), dist.scale.to_dense().eval()) def testDiagBroadcastBothBatchAndEvent2(self): # This test differs from `testDiagBroadcastBothBatchAndEvent` in that it # broadcasts batch_shape's from both the `scale_diag` and # `scale_identity_multiplier` args. # batch_shape: [3], event_shape: [2] diag = np.array([[1., 2], [3, 4], [5, 6]]) # batch_shape: [3, 1], event_shape: [] identity_multiplier = np.array([[5.], [4], [3]]) with self.test_session(): dist = ds.MultivariateNormalDiagPlusLowRank( scale_diag=diag, scale_identity_multiplier=identity_multiplier, validate_args=True) self.assertAllEqual( [3, 3, 2, 2], dist.scale.to_dense().get_shape()) def testDiagBroadcastOnlyEvent(self): # batch_shape: [3], event_shape: [2] diag = np.array([[1., 2], [3, 4], [5, 6]]) # batch_shape: [3], event_shape: [] identity_multiplier = np.array([5., 4, 3]) with self.test_session(): dist = ds.MultivariateNormalDiagPlusLowRank( scale_diag=diag, scale_identity_multiplier=identity_multiplier, validate_args=True) self.assertAllClose( np.array([[[1. + 5, 0], [0, 2 + 5]], [[3 + 4, 0], [0, 4 + 4]], [[5 + 3, 0], [0, 6 + 3]]]), # shape: [3, 2, 2] dist.scale.to_dense().eval()) def testDiagBroadcastMultiplierAndLoc(self): # batch_shape: [], event_shape: [3] loc = np.array([1., 0, -1]) # batch_shape: [3], event_shape: [] identity_multiplier = np.array([5., 4, 3]) with self.test_session(): dist = ds.MultivariateNormalDiagPlusLowRank( loc=loc, scale_identity_multiplier=identity_multiplier, validate_args=True) self.assertAllClose( np.array([[[5, 0, 0], [0, 5, 0], [0, 0, 5]], [[4, 0, 0], [0, 4, 0], [0, 0, 4]], [[3, 0, 0], [0, 3, 0], [0, 0, 3]]]), dist.scale.to_dense().eval()) def testMean(self): mu = [-1.0, 1.0] diag_large = [1.0, 5.0] v = [[2.0], [3.0]] diag_small = [3.0] with self.test_session(): dist = ds.MultivariateNormalDiagPlusLowRank( loc=mu, scale_diag=diag_large, scale_perturb_factor=v, scale_perturb_diag=diag_small, validate_args=True) self.assertAllEqual(mu, dist.mean().eval()) def testSample(self): # TODO(jvdillon): This test should be the basis of a new test fixture which # is applied to every distribution. When we make this fixture, we'll also # separate the analytical- and sample-based tests as well as for each # function tested. For now, we group things so we can recycle one batch of # samples (thus saving resources). mu = np.array([-1., 1, 0.5], dtype=np.float32) diag_large = np.array([1., 0.5, 0.75], dtype=np.float32) diag_small = np.array([-1.1, 1.2], dtype=np.float32) v = np.array([[0.7, 0.8], [0.9, 1], [0.5, 0.6]], dtype=np.float32) # shape: [k, r] = [3, 2] true_mean = mu true_scale = np.diag(diag_large) + np.matmul(np.matmul( v, np.diag(diag_small)), v.T) true_covariance = np.matmul(true_scale, true_scale.T) true_variance = np.diag(true_covariance) true_stddev = np.sqrt(true_variance) true_det_covariance = np.linalg.det(true_covariance) true_log_det_covariance = np.log(true_det_covariance) with self.test_session() as sess: dist = ds.MultivariateNormalDiagPlusLowRank( loc=mu, scale_diag=diag_large, scale_perturb_factor=v, scale_perturb_diag=diag_small, validate_args=True) # The following distributions will test the KL divergence calculation. mvn_identity = ds.MultivariateNormalDiag( loc=np.array([1., 2, 0.25], dtype=np.float32), validate_args=True) mvn_scaled = ds.MultivariateNormalDiag( loc=mvn_identity.loc, scale_identity_multiplier=2.2, validate_args=True) mvn_diag = ds.MultivariateNormalDiag( loc=mvn_identity.loc, scale_diag=np.array([0.5, 1.5, 1.], dtype=np.float32), validate_args=True) mvn_chol = ds.MultivariateNormalTriL( loc=np.array([1., 2, -1], dtype=np.float32), scale_tril=np.array([[6., 0, 0], [2, 5, 0], [1, 3, 4]], dtype=np.float32) / 10., validate_args=True) scale = dist.scale.to_dense() n = int(30e3) samps = dist.sample(n, seed=0) sample_mean = math_ops.reduce_mean(samps, 0) x = samps - sample_mean sample_covariance = math_ops.matmul(x, x, transpose_a=True) / n sample_kl_identity = math_ops.reduce_mean( dist.log_prob(samps) - mvn_identity.log_prob(samps), 0) analytical_kl_identity = ds.kl(dist, mvn_identity) sample_kl_scaled = math_ops.reduce_mean( dist.log_prob(samps) - mvn_scaled.log_prob(samps), 0) analytical_kl_scaled = ds.kl(dist, mvn_scaled) sample_kl_diag = math_ops.reduce_mean( dist.log_prob(samps) - mvn_diag.log_prob(samps), 0) analytical_kl_diag = ds.kl(dist, mvn_diag) sample_kl_chol = math_ops.reduce_mean( dist.log_prob(samps) - mvn_chol.log_prob(samps), 0) analytical_kl_chol = ds.kl(dist, mvn_chol) n = int(10e3) baseline = ds.MultivariateNormalDiag( loc=np.array([-1., 0.25, 1.25], dtype=np.float32), scale_diag=np.array([1.5, 0.5, 1.], dtype=np.float32), validate_args=True) samps = baseline.sample(n, seed=0) sample_kl_identity_diag_baseline = math_ops.reduce_mean( baseline.log_prob(samps) - mvn_identity.log_prob(samps), 0) analytical_kl_identity_diag_baseline = ds.kl(baseline, mvn_identity) sample_kl_scaled_diag_baseline = math_ops.reduce_mean( baseline.log_prob(samps) - mvn_scaled.log_prob(samps), 0) analytical_kl_scaled_diag_baseline = ds.kl(baseline, mvn_scaled) sample_kl_diag_diag_baseline = math_ops.reduce_mean( baseline.log_prob(samps) - mvn_diag.log_prob(samps), 0) analytical_kl_diag_diag_baseline = ds.kl(baseline, mvn_diag) sample_kl_chol_diag_baseline = math_ops.reduce_mean( baseline.log_prob(samps) - mvn_chol.log_prob(samps), 0) analytical_kl_chol_diag_baseline = ds.kl(baseline, mvn_chol) [ sample_mean_, analytical_mean_, sample_covariance_, analytical_covariance_, analytical_variance_, analytical_stddev_, analytical_log_det_covariance_, analytical_det_covariance_, scale_, sample_kl_identity_, analytical_kl_identity_, sample_kl_scaled_, analytical_kl_scaled_, sample_kl_diag_, analytical_kl_diag_, sample_kl_chol_, analytical_kl_chol_, sample_kl_identity_diag_baseline_, analytical_kl_identity_diag_baseline_, sample_kl_scaled_diag_baseline_, analytical_kl_scaled_diag_baseline_, sample_kl_diag_diag_baseline_, analytical_kl_diag_diag_baseline_, sample_kl_chol_diag_baseline_, analytical_kl_chol_diag_baseline_, ] = sess.run([ sample_mean, dist.mean(), sample_covariance, dist.covariance(), dist.variance(), dist.stddev(), dist.log_det_covariance(), dist.det_covariance(), scale, sample_kl_identity, analytical_kl_identity, sample_kl_scaled, analytical_kl_scaled, sample_kl_diag, analytical_kl_diag, sample_kl_chol, analytical_kl_chol, sample_kl_identity_diag_baseline, analytical_kl_identity_diag_baseline, sample_kl_scaled_diag_baseline, analytical_kl_scaled_diag_baseline, sample_kl_diag_diag_baseline, analytical_kl_diag_diag_baseline, sample_kl_chol_diag_baseline, analytical_kl_chol_diag_baseline, ]) sample_variance_ = np.diag(sample_covariance_) sample_stddev_ = np.sqrt(sample_variance_) sample_det_covariance_ = np.linalg.det(sample_covariance_) sample_log_det_covariance_ = np.log(sample_det_covariance_) print("true_mean:\n{} ".format(true_mean)) print("sample_mean:\n{}".format(sample_mean_)) print("analytical_mean:\n{}".format(analytical_mean_)) print("true_covariance:\n{}".format(true_covariance)) print("sample_covariance:\n{}".format(sample_covariance_)) print("analytical_covariance:\n{}".format( analytical_covariance_)) print("true_variance:\n{}".format(true_variance)) print("sample_variance:\n{}".format(sample_variance_)) print("analytical_variance:\n{}".format(analytical_variance_)) print("true_stddev:\n{}".format(true_stddev)) print("sample_stddev:\n{}".format(sample_stddev_)) print("analytical_stddev:\n{}".format(analytical_stddev_)) print("true_log_det_covariance:\n{}".format( true_log_det_covariance)) print("sample_log_det_covariance:\n{}".format( sample_log_det_covariance_)) print("analytical_log_det_covariance:\n{}".format( analytical_log_det_covariance_)) print("true_det_covariance:\n{}".format( true_det_covariance)) print("sample_det_covariance:\n{}".format( sample_det_covariance_)) print("analytical_det_covariance:\n{}".format( analytical_det_covariance_)) print("true_scale:\n{}".format(true_scale)) print("scale:\n{}".format(scale_)) print("kl_identity: analytical:{} sample:{}".format( analytical_kl_identity_, sample_kl_identity_)) print("kl_scaled: analytical:{} sample:{}".format( analytical_kl_scaled_, sample_kl_scaled_)) print("kl_diag: analytical:{} sample:{}".format( analytical_kl_diag_, sample_kl_diag_)) print("kl_chol: analytical:{} sample:{}".format( analytical_kl_chol_, sample_kl_chol_)) print("kl_identity_diag_baseline: analytical:{} sample:{}".format( analytical_kl_identity_diag_baseline_, sample_kl_identity_diag_baseline_)) print("kl_scaled_diag_baseline: analytical:{} sample:{}".format( analytical_kl_scaled_diag_baseline_, sample_kl_scaled_diag_baseline_)) print("kl_diag_diag_baseline: analytical:{} sample:{}".format( analytical_kl_diag_diag_baseline_, sample_kl_diag_diag_baseline_)) print("kl_chol_diag_baseline: analytical:{} sample:{}".format( analytical_kl_chol_diag_baseline_, sample_kl_chol_diag_baseline_)) self.assertAllClose(true_mean, sample_mean_, atol=0., rtol=0.02) self.assertAllClose(true_mean, analytical_mean_, atol=0., rtol=1e-6) self.assertAllClose(true_covariance, sample_covariance_, atol=0., rtol=0.02) self.assertAllClose(true_covariance, analytical_covariance_, atol=0., rtol=1e-6) self.assertAllClose(true_variance, sample_variance_, atol=0., rtol=0.02) self.assertAllClose(true_variance, analytical_variance_, atol=0., rtol=1e-6) self.assertAllClose(true_stddev, sample_stddev_, atol=0., rtol=0.02) self.assertAllClose(true_stddev, analytical_stddev_, atol=0., rtol=1e-6) self.assertAllClose(true_log_det_covariance, sample_log_det_covariance_, atol=0., rtol=0.02) self.assertAllClose(true_log_det_covariance, analytical_log_det_covariance_, atol=0., rtol=1e-6) self.assertAllClose(true_det_covariance, sample_det_covariance_, atol=0., rtol=0.02) self.assertAllClose(true_det_covariance, analytical_det_covariance_, atol=0., rtol=1e-5) self.assertAllClose(true_scale, scale_, atol=0., rtol=1e-6) self.assertAllClose(sample_kl_identity_, analytical_kl_identity_, atol=0., rtol=0.02) self.assertAllClose(sample_kl_scaled_, analytical_kl_scaled_, atol=0., rtol=0.02) self.assertAllClose(sample_kl_diag_, analytical_kl_diag_, atol=0., rtol=0.02) self.assertAllClose(sample_kl_chol_, analytical_kl_chol_, atol=0., rtol=0.02) self.assertAllClose( sample_kl_identity_diag_baseline_, analytical_kl_identity_diag_baseline_, atol=0., rtol=0.02) self.assertAllClose( sample_kl_scaled_diag_baseline_, analytical_kl_scaled_diag_baseline_, atol=0., rtol=0.02) self.assertAllClose( sample_kl_diag_diag_baseline_, analytical_kl_diag_diag_baseline_, atol=0., rtol=0.04) self.assertAllClose( sample_kl_chol_diag_baseline_, analytical_kl_chol_diag_baseline_, atol=0., rtol=0.02) def testImplicitLargeDiag(self): mu = np.array([[1., 2, 3], [11, 22, 33]]) # shape: [b, k] = [2, 3] u = np.array([[[1., 2], [3, 4], [5, 6]], [[0.5, 0.75], [1, 0.25], [1.5, 1.25]]]) # shape: [b, k, r] = [2, 3, 2] m = np.array([[0.1, 0.2], [0.4, 0.5]]) # shape: [b, r] = [2, 2] scale = np.stack([ np.eye(3) + np.matmul(np.matmul(u[0], np.diag(m[0])), np.transpose(u[0])), np.eye(3) + np.matmul(np.matmul(u[1], np.diag(m[1])), np.transpose(u[1])), ]) cov = np.stack([np.matmul(scale[0], scale[0].T), np.matmul(scale[1], scale[1].T)]) print("expected_cov:\n{}".format(cov)) with self.test_session(): mvn = ds.MultivariateNormalDiagPlusLowRank( loc=mu, scale_perturb_factor=u, scale_perturb_diag=m) self.assertAllClose(cov, mvn.covariance().eval(), atol=0., rtol=1e-6) if __name__ == "__main__": test.main()

[ "[email protected]" ]

[email protected]

58afd8e194a66d93081d602c1b5562695a2aacc7

7e41d70ee3bf07dc3043afef020cde173d5fb0bc

/airflow_client/client/model/resource.py

4db2b1d4fdbe4e8423ff2bc14774439fc6e6dd11

[ "Apache-2.0" ]

permissive

apache/airflow-client-python

fb11789076bfed191d730c459c84273781d50246

38d55888f7533253857baa878322007f4581fc21

refs/heads/main

2023-09-05T18:23:37.049610

2023-08-23T13:10:27

275,569,232

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Apache-2.0

2023-08-23T07:49:13

2020-06-28T11:20:41

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# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. """ Airflow API (Stable) # Overview To facilitate management, Apache Airflow supports a range of REST API endpoints across its objects. This section provides an overview of the API design, methods, and supported use cases. Most of the endpoints accept `JSON` as input and return `JSON` responses. This means that you must usually add the following headers to your request: ``` Content-type: application/json Accept: application/json ``` ## Resources The term `resource` refers to a single type of object in the Airflow metadata. An API is broken up by its endpoint's corresponding resource. The name of a resource is typically plural and expressed in camelCase. Example: `dagRuns`. Resource names are used as part of endpoint URLs, as well as in API parameters and responses. ## CRUD Operations The platform supports **C**reate, **R**ead, **U**pdate, and **D**elete operations on most resources. You can review the standards for these operations and their standard parameters below. Some endpoints have special behavior as exceptions. ### Create To create a resource, you typically submit an HTTP `POST` request with the resource's required metadata in the request body. The response returns a `201 Created` response code upon success with the resource's metadata, including its internal `id`, in the response body. ### Read The HTTP `GET` request can be used to read a resource or to list a number of resources. A resource's `id` can be submitted in the request parameters to read a specific resource. The response usually returns a `200 OK` response code upon success, with the resource's metadata in the response body. If a `GET` request does not include a specific resource `id`, it is treated as a list request. The response usually returns a `200 OK` response code upon success, with an object containing a list of resources' metadata in the response body. When reading resources, some common query parameters are usually available. e.g.: ``` v1/connections?limit=25&offset=25 ``` |Query Parameter|Type|Description| |---------------|----|-----------| |limit|integer|Maximum number of objects to fetch. Usually 25 by default| |offset|integer|Offset after which to start returning objects. For use with limit query parameter.| ### Update Updating a resource requires the resource `id`, and is typically done using an HTTP `PATCH` request, with the fields to modify in the request body. The response usually returns a `200 OK` response code upon success, with information about the modified resource in the response body. ### Delete Deleting a resource requires the resource `id` and is typically executed via an HTTP `DELETE` request. The response usually returns a `204 No Content` response code upon success. ## Conventions - Resource names are plural and expressed in camelCase. - Names are consistent between URL parameter name and field name. - Field names are in snake_case. ```json { \"description\": \"string\", \"name\": \"string\", \"occupied_slots\": 0, \"open_slots\": 0 \"queued_slots\": 0, \"running_slots\": 0, \"scheduled_slots\": 0, \"slots\": 0, } ``` ### Update Mask Update mask is available as a query parameter in patch endpoints. It is used to notify the API which fields you want to update. Using `update_mask` makes it easier to update objects by helping the server know which fields to update in an object instead of updating all fields. The update request ignores any fields that aren't specified in the field mask, leaving them with their current values. Example: ``` resource = request.get('/resource/my-id').json() resource['my_field'] = 'new-value' request.patch('/resource/my-id?update_mask=my_field', data=json.dumps(resource)) ``` ## Versioning and Endpoint Lifecycle - API versioning is not synchronized to specific releases of the Apache Airflow. - APIs are designed to be backward compatible. - Any changes to the API will first go through a deprecation phase. # Trying the API You can use a third party client, such as [curl](https://curl.haxx.se/), [HTTPie](https://httpie.org/), [Postman](https://www.postman.com/) or [the Insomnia rest client](https://insomnia.rest/) to test the Apache Airflow API. Note that you will need to pass credentials data. For e.g., here is how to pause a DAG with [curl](https://curl.haxx.se/), when basic authorization is used: ```bash curl -X PATCH 'https://example.com/api/v1/dags/{dag_id}?update_mask=is_paused' \\ -H 'Content-Type: application/json' \\ --user \"username:password\" \\ -d '{ \"is_paused\": true }' ``` Using a graphical tool such as [Postman](https://www.postman.com/) or [Insomnia](https://insomnia.rest/), it is possible to import the API specifications directly: 1. Download the API specification by clicking the **Download** button at the top of this document 2. Import the JSON specification in the graphical tool of your choice. - In *Postman*, you can click the **import** button at the top - With *Insomnia*, you can just drag-and-drop the file on the UI Note that with *Postman*, you can also generate code snippets by selecting a request and clicking on the **Code** button. ## Enabling CORS [Cross-origin resource sharing (CORS)](https://developer.mozilla.org/en-US/docs/Web/HTTP/CORS) is a browser security feature that restricts HTTP requests that are initiated from scripts running in the browser. For details on enabling/configuring CORS, see [Enabling CORS](https://airflow.apache.org/docs/apache-airflow/stable/security/api.html). # Authentication To be able to meet the requirements of many organizations, Airflow supports many authentication methods, and it is even possible to add your own method. If you want to check which auth backend is currently set, you can use `airflow config get-value api auth_backends` command as in the example below. ```bash $ airflow config get-value api auth_backends airflow.api.auth.backend.basic_auth ``` The default is to deny all requests. For details on configuring the authentication, see [API Authorization](https://airflow.apache.org/docs/apache-airflow/stable/security/api.html). # Errors We follow the error response format proposed in [RFC 7807](https://tools.ietf.org/html/rfc7807) also known as Problem Details for HTTP APIs. As with our normal API responses, your client must be prepared to gracefully handle additional members of the response. ## Unauthenticated This indicates that the request has not been applied because it lacks valid authentication credentials for the target resource. Please check that you have valid credentials. ## PermissionDenied This response means that the server understood the request but refuses to authorize it because it lacks sufficient rights to the resource. It happens when you do not have the necessary permission to execute the action you performed. You need to get the appropriate permissions in other to resolve this error. ## BadRequest This response means that the server cannot or will not process the request due to something that is perceived to be a client error (e.g., malformed request syntax, invalid request message framing, or deceptive request routing). To resolve this, please ensure that your syntax is correct. ## NotFound This client error response indicates that the server cannot find the requested resource. ## MethodNotAllowed Indicates that the request method is known by the server but is not supported by the target resource. ## NotAcceptable The target resource does not have a current representation that would be acceptable to the user agent, according to the proactive negotiation header fields received in the request, and the server is unwilling to supply a default representation. ## AlreadyExists The request could not be completed due to a conflict with the current state of the target resource, e.g. the resource it tries to create already exists. ## Unknown This means that the server encountered an unexpected condition that prevented it from fulfilling the request. # noqa: E501 The version of the OpenAPI document: 2.7.0 Contact: [email protected] Generated by: https://openapi-generator.tech """ import re # noqa: F401 import sys # noqa: F401 from airflow_client.client.model_utils import ( # noqa: F401 ApiTypeError, ModelComposed, ModelNormal, ModelSimple, cached_property, change_keys_js_to_python, convert_js_args_to_python_args, date, datetime, file_type, none_type, validate_get_composed_info, OpenApiModel ) from airflow_client.client.exceptions import ApiAttributeError class Resource(ModelNormal): """NOTE: This class is auto generated by OpenAPI Generator. Ref: https://openapi-generator.tech Do not edit the class manually. Attributes: allowed_values (dict): The key is the tuple path to the attribute and the for var_name this is (var_name,). The value is a dict with a capitalized key describing the allowed value and an allowed value. These dicts store the allowed enum values. attribute_map (dict): The key is attribute name and the value is json key in definition. discriminator_value_class_map (dict): A dict to go from the discriminator variable value to the discriminator class name. validations (dict): The key is the tuple path to the attribute and the for var_name this is (var_name,). The value is a dict that stores validations for max_length, min_length, max_items, min_items, exclusive_maximum, inclusive_maximum, exclusive_minimum, inclusive_minimum, and regex. additional_properties_type (tuple): A tuple of classes accepted as additional properties values. """ allowed_values = { } validations = { } @cached_property def additional_properties_type(): """ This must be a method because a model may have properties that are of type self, this must run after the class is loaded """ return (bool, date, datetime, dict, float, int, list, str, none_type,) # noqa: E501 _nullable = False @cached_property def openapi_types(): """ This must be a method because a model may have properties that are of type self, this must run after the class is loaded Returns openapi_types (dict): The key is attribute name and the value is attribute type. """ return { 'name': (str,), # noqa: E501 } @cached_property def discriminator(): return None attribute_map = { 'name': 'name', # noqa: E501 } read_only_vars = { } _composed_schemas = {} @classmethod @convert_js_args_to_python_args def _from_openapi_data(cls, *args, **kwargs): # noqa: E501 """Resource - a model defined in OpenAPI Keyword Args: _check_type (bool): if True, values for parameters in openapi_types will be type checked and a TypeError will be raised if the wrong type is input. Defaults to True _path_to_item (tuple/list): This is a list of keys or values to drill down to the model in received_data when deserializing a response _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _configuration (Configuration): the instance to use when deserializing a file_type parameter. If passed, type conversion is attempted If omitted no type conversion is done. _visited_composed_classes (tuple): This stores a tuple of classes that we have traveled through so that if we see that class again we will not use its discriminator again. When traveling through a discriminator, the composed schema that is is traveled through is added to this set. For example if Animal has a discriminator petType and we pass in "Dog", and the class Dog allOf includes Animal, we move through Animal once using the discriminator, and pick Dog. Then in Dog, we will make an instance of the Animal class but this time we won't travel through its discriminator because we passed in _visited_composed_classes = (Animal,) name (str): The name of the resource. [optional] # noqa: E501 """ _check_type = kwargs.pop('_check_type', True) _spec_property_naming = kwargs.pop('_spec_property_naming', False) _path_to_item = kwargs.pop('_path_to_item', ()) _configuration = kwargs.pop('_configuration', None) _visited_composed_classes = kwargs.pop('_visited_composed_classes', ()) self = super(OpenApiModel, cls).__new__(cls) if args: raise ApiTypeError( "Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments." % ( args, self.__class__.__name__, ), path_to_item=_path_to_item, valid_classes=(self.__class__,), ) self._data_store = {} self._check_type = _check_type self._spec_property_naming = _spec_property_naming self._path_to_item = _path_to_item self._configuration = _configuration self._visited_composed_classes = _visited_composed_classes + (self.__class__,) for var_name, var_value in kwargs.items(): if var_name not in self.attribute_map and \ self._configuration is not None and \ self._configuration.discard_unknown_keys and \ self.additional_properties_type is None: # discard variable. continue setattr(self, var_name, var_value) return self required_properties = set([ '_data_store', '_check_type', '_spec_property_naming', '_path_to_item', '_configuration', '_visited_composed_classes', ]) @convert_js_args_to_python_args def __init__(self, *args, **kwargs): # noqa: E501 """Resource - a model defined in OpenAPI Keyword Args: _check_type (bool): if True, values for parameters in openapi_types will be type checked and a TypeError will be raised if the wrong type is input. Defaults to True _path_to_item (tuple/list): This is a list of keys or values to drill down to the model in received_data when deserializing a response _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _configuration (Configuration): the instance to use when deserializing a file_type parameter. If passed, type conversion is attempted If omitted no type conversion is done. _visited_composed_classes (tuple): This stores a tuple of classes that we have traveled through so that if we see that class again we will not use its discriminator again. When traveling through a discriminator, the composed schema that is is traveled through is added to this set. For example if Animal has a discriminator petType and we pass in "Dog", and the class Dog allOf includes Animal, we move through Animal once using the discriminator, and pick Dog. Then in Dog, we will make an instance of the Animal class but this time we won't travel through its discriminator because we passed in _visited_composed_classes = (Animal,) name (str): The name of the resource. [optional] # noqa: E501 """ _check_type = kwargs.pop('_check_type', True) _spec_property_naming = kwargs.pop('_spec_property_naming', False) _path_to_item = kwargs.pop('_path_to_item', ()) _configuration = kwargs.pop('_configuration', None) _visited_composed_classes = kwargs.pop('_visited_composed_classes', ()) if args: raise ApiTypeError( "Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments." % ( args, self.__class__.__name__, ), path_to_item=_path_to_item, valid_classes=(self.__class__,), ) self._data_store = {} self._check_type = _check_type self._spec_property_naming = _spec_property_naming self._path_to_item = _path_to_item self._configuration = _configuration self._visited_composed_classes = _visited_composed_classes + (self.__class__,) for var_name, var_value in kwargs.items(): if var_name not in self.attribute_map and \ self._configuration is not None and \ self._configuration.discard_unknown_keys and \ self.additional_properties_type is None: # discard variable. continue setattr(self, var_name, var_value) if var_name in self.read_only_vars: raise ApiAttributeError(f"`{var_name}` is a read-only attribute. Use `from_openapi_data` to instantiate " f"class with read only attributes.")

[ "[email protected]" ]

[email protected]

0e91187cd1c363c623c71648471d0a741b416aba

0c66e605e6e4129b09ea14dbb6aa353d18aaa027

/diventi/accounts/migrations/0118_auto_20190430_1544.py

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[ "Apache-2.0" ]

permissive

flavoi/diventi

58fbc8c947f387cbcc1ce607878a59a6f2b72313

c0b1efe2baa3ff816d6ee9a8e86623f297973ded

refs/heads/master

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py

# Generated by Django 2.1.7 on 2019-04-30 13:44 import diventi.accounts.models from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('accounts', '0117_auto_20190430_1543'), ] operations = [ migrations.AlterModelManagers( name='diventiuser', managers=[ ('objects', diventi.accounts.models.DiventiUserManager()), ], ), ]

[ "[email protected]" ]

[email protected]

4d39d846840e01114a83ec7bece187bdf76b160d

82b946da326148a3c1c1f687f96c0da165bb2c15

/sdk/python/pulumi_azure_native/kusto/v20210101/event_grid_data_connection.py

a5730756f74d4be6193881f22a8298b833bd3bfb

[ "Apache-2.0", "BSD-3-Clause" ]

permissive

morrell/pulumi-azure-native

3916e978382366607f3df0a669f24cb16293ff5e

cd3ba4b9cb08c5e1df7674c1c71695b80e443f08

refs/heads/master

2023-06-20T19:37:05.414924

2021-07-19T20:57:53

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Apache-2.0

2021-07-20T14:18:29

2021-07-20T14:18:28

null

UTF-8

Python

false

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py

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from ... import _utilities from ._enums import * __all__ = ['EventGridDataConnectionArgs', 'EventGridDataConnection'] @pulumi.input_type class EventGridDataConnectionArgs: def __init__(__self__, *, cluster_name: pulumi.Input[str], consumer_group: pulumi.Input[str], database_name: pulumi.Input[str], event_hub_resource_id: pulumi.Input[str], kind: pulumi.Input[str], resource_group_name: pulumi.Input[str], storage_account_resource_id: pulumi.Input[str], blob_storage_event_type: Optional[pulumi.Input[Union[str, 'BlobStorageEventType']]] = None, data_connection_name: Optional[pulumi.Input[str]] = None, data_format: Optional[pulumi.Input[Union[str, 'EventGridDataFormat']]] = None, ignore_first_record: Optional[pulumi.Input[bool]] = None, location: Optional[pulumi.Input[str]] = None, mapping_rule_name: Optional[pulumi.Input[str]] = None, table_name: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a EventGridDataConnection resource. :param pulumi.Input[str] cluster_name: The name of the Kusto cluster. :param pulumi.Input[str] consumer_group: The event hub consumer group. :param pulumi.Input[str] database_name: The name of the database in the Kusto cluster. :param pulumi.Input[str] event_hub_resource_id: The resource ID where the event grid is configured to send events. :param pulumi.Input[str] kind: Kind of the endpoint for the data connection Expected value is 'EventGrid'. :param pulumi.Input[str] resource_group_name: The name of the resource group containing the Kusto cluster. :param pulumi.Input[str] storage_account_resource_id: The resource ID of the storage account where the data resides. :param pulumi.Input[Union[str, 'BlobStorageEventType']] blob_storage_event_type: The name of blob storage event type to process. :param pulumi.Input[str] data_connection_name: The name of the data connection. :param pulumi.Input[Union[str, 'EventGridDataFormat']] data_format: The data format of the message. Optionally the data format can be added to each message. :param pulumi.Input[bool] ignore_first_record: A Boolean value that, if set to true, indicates that ingestion should ignore the first record of every file :param pulumi.Input[str] location: Resource location. :param pulumi.Input[str] mapping_rule_name: The mapping rule to be used to ingest the data. Optionally the mapping information can be added to each message. :param pulumi.Input[str] table_name: The table where the data should be ingested. Optionally the table information can be added to each message. """ pulumi.set(__self__, "cluster_name", cluster_name) pulumi.set(__self__, "consumer_group", consumer_group) pulumi.set(__self__, "database_name", database_name) pulumi.set(__self__, "event_hub_resource_id", event_hub_resource_id) pulumi.set(__self__, "kind", 'EventGrid') pulumi.set(__self__, "resource_group_name", resource_group_name) pulumi.set(__self__, "storage_account_resource_id", storage_account_resource_id) if blob_storage_event_type is not None: pulumi.set(__self__, "blob_storage_event_type", blob_storage_event_type) if data_connection_name is not None: pulumi.set(__self__, "data_connection_name", data_connection_name) if data_format is not None: pulumi.set(__self__, "data_format", data_format) if ignore_first_record is not None: pulumi.set(__self__, "ignore_first_record", ignore_first_record) if location is not None: pulumi.set(__self__, "location", location) if mapping_rule_name is not None: pulumi.set(__self__, "mapping_rule_name", mapping_rule_name) if table_name is not None: pulumi.set(__self__, "table_name", table_name) @property @pulumi.getter(name="clusterName") def cluster_name(self) -> pulumi.Input[str]: """ The name of the Kusto cluster. """ return pulumi.get(self, "cluster_name") @cluster_name.setter def cluster_name(self, value: pulumi.Input[str]): pulumi.set(self, "cluster_name", value) @property @pulumi.getter(name="consumerGroup") def consumer_group(self) -> pulumi.Input[str]: """ The event hub consumer group. """ return pulumi.get(self, "consumer_group") @consumer_group.setter def consumer_group(self, value: pulumi.Input[str]): pulumi.set(self, "consumer_group", value) @property @pulumi.getter(name="databaseName") def database_name(self) -> pulumi.Input[str]: """ The name of the database in the Kusto cluster. """ return pulumi.get(self, "database_name") @database_name.setter def database_name(self, value: pulumi.Input[str]): pulumi.set(self, "database_name", value) @property @pulumi.getter(name="eventHubResourceId") def event_hub_resource_id(self) -> pulumi.Input[str]: """ The resource ID where the event grid is configured to send events. """ return pulumi.get(self, "event_hub_resource_id") @event_hub_resource_id.setter def event_hub_resource_id(self, value: pulumi.Input[str]): pulumi.set(self, "event_hub_resource_id", value) @property @pulumi.getter def kind(self) -> pulumi.Input[str]: """ Kind of the endpoint for the data connection Expected value is 'EventGrid'. """ return pulumi.get(self, "kind") @kind.setter def kind(self, value: pulumi.Input[str]): pulumi.set(self, "kind", value) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> pulumi.Input[str]: """ The name of the resource group containing the Kusto cluster. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: pulumi.Input[str]): pulumi.set(self, "resource_group_name", value) @property @pulumi.getter(name="storageAccountResourceId") def storage_account_resource_id(self) -> pulumi.Input[str]: """ The resource ID of the storage account where the data resides. """ return pulumi.get(self, "storage_account_resource_id") @storage_account_resource_id.setter def storage_account_resource_id(self, value: pulumi.Input[str]): pulumi.set(self, "storage_account_resource_id", value) @property @pulumi.getter(name="blobStorageEventType") def blob_storage_event_type(self) -> Optional[pulumi.Input[Union[str, 'BlobStorageEventType']]]: """ The name of blob storage event type to process. """ return pulumi.get(self, "blob_storage_event_type") @blob_storage_event_type.setter def blob_storage_event_type(self, value: Optional[pulumi.Input[Union[str, 'BlobStorageEventType']]]): pulumi.set(self, "blob_storage_event_type", value) @property @pulumi.getter(name="dataConnectionName") def data_connection_name(self) -> Optional[pulumi.Input[str]]: """ The name of the data connection. """ return pulumi.get(self, "data_connection_name") @data_connection_name.setter def data_connection_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "data_connection_name", value) @property @pulumi.getter(name="dataFormat") def data_format(self) -> Optional[pulumi.Input[Union[str, 'EventGridDataFormat']]]: """ The data format of the message. Optionally the data format can be added to each message. """ return pulumi.get(self, "data_format") @data_format.setter def data_format(self, value: Optional[pulumi.Input[Union[str, 'EventGridDataFormat']]]): pulumi.set(self, "data_format", value) @property @pulumi.getter(name="ignoreFirstRecord") def ignore_first_record(self) -> Optional[pulumi.Input[bool]]: """ A Boolean value that, if set to true, indicates that ingestion should ignore the first record of every file """ return pulumi.get(self, "ignore_first_record") @ignore_first_record.setter def ignore_first_record(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "ignore_first_record", value) @property @pulumi.getter def location(self) -> Optional[pulumi.Input[str]]: """ Resource location. """ return pulumi.get(self, "location") @location.setter def location(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "location", value) @property @pulumi.getter(name="mappingRuleName") def mapping_rule_name(self) -> Optional[pulumi.Input[str]]: """ The mapping rule to be used to ingest the data. Optionally the mapping information can be added to each message. """ return pulumi.get(self, "mapping_rule_name") @mapping_rule_name.setter def mapping_rule_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "mapping_rule_name", value) @property @pulumi.getter(name="tableName") def table_name(self) -> Optional[pulumi.Input[str]]: """ The table where the data should be ingested. Optionally the table information can be added to each message. """ return pulumi.get(self, "table_name") @table_name.setter def table_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "table_name", value) class EventGridDataConnection(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, blob_storage_event_type: Optional[pulumi.Input[Union[str, 'BlobStorageEventType']]] = None, cluster_name: Optional[pulumi.Input[str]] = None, consumer_group: Optional[pulumi.Input[str]] = None, data_connection_name: Optional[pulumi.Input[str]] = None, data_format: Optional[pulumi.Input[Union[str, 'EventGridDataFormat']]] = None, database_name: Optional[pulumi.Input[str]] = None, event_hub_resource_id: Optional[pulumi.Input[str]] = None, ignore_first_record: Optional[pulumi.Input[bool]] = None, kind: Optional[pulumi.Input[str]] = None, location: Optional[pulumi.Input[str]] = None, mapping_rule_name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, storage_account_resource_id: Optional[pulumi.Input[str]] = None, table_name: Optional[pulumi.Input[str]] = None, __props__=None): """ Class representing an Event Grid data connection. :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[Union[str, 'BlobStorageEventType']] blob_storage_event_type: The name of blob storage event type to process. :param pulumi.Input[str] cluster_name: The name of the Kusto cluster. :param pulumi.Input[str] consumer_group: The event hub consumer group. :param pulumi.Input[str] data_connection_name: The name of the data connection. :param pulumi.Input[Union[str, 'EventGridDataFormat']] data_format: The data format of the message. Optionally the data format can be added to each message. :param pulumi.Input[str] database_name: The name of the database in the Kusto cluster. :param pulumi.Input[str] event_hub_resource_id: The resource ID where the event grid is configured to send events. :param pulumi.Input[bool] ignore_first_record: A Boolean value that, if set to true, indicates that ingestion should ignore the first record of every file :param pulumi.Input[str] kind: Kind of the endpoint for the data connection Expected value is 'EventGrid'. :param pulumi.Input[str] location: Resource location. :param pulumi.Input[str] mapping_rule_name: The mapping rule to be used to ingest the data. Optionally the mapping information can be added to each message. :param pulumi.Input[str] resource_group_name: The name of the resource group containing the Kusto cluster. :param pulumi.Input[str] storage_account_resource_id: The resource ID of the storage account where the data resides. :param pulumi.Input[str] table_name: The table where the data should be ingested. Optionally the table information can be added to each message. """ ... @overload def __init__(__self__, resource_name: str, args: EventGridDataConnectionArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Class representing an Event Grid data connection. :param str resource_name: The name of the resource. :param EventGridDataConnectionArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(EventGridDataConnectionArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, blob_storage_event_type: Optional[pulumi.Input[Union[str, 'BlobStorageEventType']]] = None, cluster_name: Optional[pulumi.Input[str]] = None, consumer_group: Optional[pulumi.Input[str]] = None, data_connection_name: Optional[pulumi.Input[str]] = None, data_format: Optional[pulumi.Input[Union[str, 'EventGridDataFormat']]] = None, database_name: Optional[pulumi.Input[str]] = None, event_hub_resource_id: Optional[pulumi.Input[str]] = None, ignore_first_record: Optional[pulumi.Input[bool]] = None, kind: Optional[pulumi.Input[str]] = None, location: Optional[pulumi.Input[str]] = None, mapping_rule_name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, storage_account_resource_id: Optional[pulumi.Input[str]] = None, table_name: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = EventGridDataConnectionArgs.__new__(EventGridDataConnectionArgs) __props__.__dict__["blob_storage_event_type"] = blob_storage_event_type if cluster_name is None and not opts.urn: raise TypeError("Missing required property 'cluster_name'") __props__.__dict__["cluster_name"] = cluster_name if consumer_group is None and not opts.urn: raise TypeError("Missing required property 'consumer_group'") __props__.__dict__["consumer_group"] = consumer_group __props__.__dict__["data_connection_name"] = data_connection_name __props__.__dict__["data_format"] = data_format if database_name is None and not opts.urn: raise TypeError("Missing required property 'database_name'") __props__.__dict__["database_name"] = database_name if event_hub_resource_id is None and not opts.urn: raise TypeError("Missing required property 'event_hub_resource_id'") __props__.__dict__["event_hub_resource_id"] = event_hub_resource_id __props__.__dict__["ignore_first_record"] = ignore_first_record if kind is None and not opts.urn: raise TypeError("Missing required property 'kind'") __props__.__dict__["kind"] = 'EventGrid' __props__.__dict__["location"] = location __props__.__dict__["mapping_rule_name"] = mapping_rule_name if resource_group_name is None and not opts.urn: raise TypeError("Missing required property 'resource_group_name'") __props__.__dict__["resource_group_name"] = resource_group_name if storage_account_resource_id is None and not opts.urn: raise TypeError("Missing required property 'storage_account_resource_id'") __props__.__dict__["storage_account_resource_id"] = storage_account_resource_id __props__.__dict__["table_name"] = table_name __props__.__dict__["name"] = None __props__.__dict__["provisioning_state"] = None __props__.__dict__["type"] = None alias_opts = pulumi.ResourceOptions(aliases=[pulumi.Alias(type_="azure-nextgen:kusto/v20210101:EventGridDataConnection"), pulumi.Alias(type_="azure-native:kusto:EventGridDataConnection"), pulumi.Alias(type_="azure-nextgen:kusto:EventGridDataConnection"), pulumi.Alias(type_="azure-native:kusto/v20190121:EventGridDataConnection"), pulumi.Alias(type_="azure-nextgen:kusto/v20190121:EventGridDataConnection"), pulumi.Alias(type_="azure-native:kusto/v20190515:EventGridDataConnection"), pulumi.Alias(type_="azure-nextgen:kusto/v20190515:EventGridDataConnection"), pulumi.Alias(type_="azure-native:kusto/v20190907:EventGridDataConnection"), pulumi.Alias(type_="azure-nextgen:kusto/v20190907:EventGridDataConnection"), pulumi.Alias(type_="azure-native:kusto/v20191109:EventGridDataConnection"), pulumi.Alias(type_="azure-nextgen:kusto/v20191109:EventGridDataConnection"), pulumi.Alias(type_="azure-native:kusto/v20200215:EventGridDataConnection"), pulumi.Alias(type_="azure-nextgen:kusto/v20200215:EventGridDataConnection"), pulumi.Alias(type_="azure-native:kusto/v20200614:EventGridDataConnection"), pulumi.Alias(type_="azure-nextgen:kusto/v20200614:EventGridDataConnection"), pulumi.Alias(type_="azure-native:kusto/v20200918:EventGridDataConnection"), pulumi.Alias(type_="azure-nextgen:kusto/v20200918:EventGridDataConnection")]) opts = pulumi.ResourceOptions.merge(opts, alias_opts) super(EventGridDataConnection, __self__).__init__( 'azure-native:kusto/v20210101:EventGridDataConnection', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None) -> 'EventGridDataConnection': """ Get an existing EventGridDataConnection resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = EventGridDataConnectionArgs.__new__(EventGridDataConnectionArgs) __props__.__dict__["blob_storage_event_type"] = None __props__.__dict__["consumer_group"] = None __props__.__dict__["data_format"] = None __props__.__dict__["event_hub_resource_id"] = None __props__.__dict__["ignore_first_record"] = None __props__.__dict__["kind"] = None __props__.__dict__["location"] = None __props__.__dict__["mapping_rule_name"] = None __props__.__dict__["name"] = None __props__.__dict__["provisioning_state"] = None __props__.__dict__["storage_account_resource_id"] = None __props__.__dict__["table_name"] = None __props__.__dict__["type"] = None return EventGridDataConnection(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="blobStorageEventType") def blob_storage_event_type(self) -> pulumi.Output[Optional[str]]: """ The name of blob storage event type to process. """ return pulumi.get(self, "blob_storage_event_type") @property @pulumi.getter(name="consumerGroup") def consumer_group(self) -> pulumi.Output[str]: """ The event hub consumer group. """ return pulumi.get(self, "consumer_group") @property @pulumi.getter(name="dataFormat") def data_format(self) -> pulumi.Output[Optional[str]]: """ The data format of the message. Optionally the data format can be added to each message. """ return pulumi.get(self, "data_format") @property @pulumi.getter(name="eventHubResourceId") def event_hub_resource_id(self) -> pulumi.Output[str]: """ The resource ID where the event grid is configured to send events. """ return pulumi.get(self, "event_hub_resource_id") @property @pulumi.getter(name="ignoreFirstRecord") def ignore_first_record(self) -> pulumi.Output[Optional[bool]]: """ A Boolean value that, if set to true, indicates that ingestion should ignore the first record of every file """ return pulumi.get(self, "ignore_first_record") @property @pulumi.getter def kind(self) -> pulumi.Output[str]: """ Kind of the endpoint for the data connection Expected value is 'EventGrid'. """ return pulumi.get(self, "kind") @property @pulumi.getter def location(self) -> pulumi.Output[Optional[str]]: """ Resource location. """ return pulumi.get(self, "location") @property @pulumi.getter(name="mappingRuleName") def mapping_rule_name(self) -> pulumi.Output[Optional[str]]: """ The mapping rule to be used to ingest the data. Optionally the mapping information can be added to each message. """ return pulumi.get(self, "mapping_rule_name") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ The name of the resource """ return pulumi.get(self, "name") @property @pulumi.getter(name="provisioningState") def provisioning_state(self) -> pulumi.Output[str]: """ The provisioned state of the resource. """ return pulumi.get(self, "provisioning_state") @property @pulumi.getter(name="storageAccountResourceId") def storage_account_resource_id(self) -> pulumi.Output[str]: """ The resource ID of the storage account where the data resides. """ return pulumi.get(self, "storage_account_resource_id") @property @pulumi.getter(name="tableName") def table_name(self) -> pulumi.Output[Optional[str]]: """ The table where the data should be ingested. Optionally the table information can be added to each message. """ return pulumi.get(self, "table_name") @property @pulumi.getter def type(self) -> pulumi.Output[str]: """ The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts" """ return pulumi.get(self, "type")

[ "[email protected]" ]

[email protected]

78d8ff1315659190e523ddabf9753cb6e744b0aa

3c000380cbb7e8deb6abf9c6f3e29e8e89784830

/venv/Lib/site-packages/cobra/modelimpl/fv/rtsvcbdtobdatt.py

f1ffb7ed17d1fb278b7698c60d82bd28d78ea0a0

[]

no_license

bkhoward/aciDOM

91b0406f00da7aac413a81c8db2129b4bfc5497b

f2674456ecb19cf7299ef0c5a0887560b8b315d0

refs/heads/master

2023-03-27T23:37:02.836904

2021-03-26T22:07:54

351,855,399

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# coding=UTF-8 # ********************************************************************** # Copyright (c) 2013-2020 Cisco Systems, Inc. All rights reserved # written by zen warriors, do not modify! # ********************************************************************** from cobra.mit.meta import ClassMeta from cobra.mit.meta import StatsClassMeta from cobra.mit.meta import CounterMeta from cobra.mit.meta import PropMeta from cobra.mit.meta import Category from cobra.mit.meta import SourceRelationMeta from cobra.mit.meta import NamedSourceRelationMeta from cobra.mit.meta import TargetRelationMeta from cobra.mit.meta import DeploymentPathMeta, DeploymentCategory from cobra.model.category import MoCategory, PropCategory, CounterCategory from cobra.mit.mo import Mo # ################################################## class RtSvcBDToBDAtt(Mo): """ A target relation to a bridge domain. This is an internal object. """ meta = TargetRelationMeta("cobra.model.fv.RtSvcBDToBDAtt", "cobra.model.fv.SvcBD") meta.moClassName = "fvRtSvcBDToBDAtt" meta.rnFormat = "rtSvcBDToBDAtt" meta.category = MoCategory.RELATIONSHIP_FROM_LOCAL meta.label = "Bridge Domain" meta.writeAccessMask = 0x1001 meta.readAccessMask = 0x6000400421843101 meta.isDomainable = False meta.isReadOnly = True meta.isConfigurable = False meta.isDeletable = False meta.isContextRoot = False meta.parentClasses.add("cobra.model.fv.BD") meta.superClasses.add("cobra.model.reln.From") meta.superClasses.add("cobra.model.reln.Inst") meta.rnPrefixes = [ ('rtSvcBDToBDAtt', False), ] prop = PropMeta("str", "childAction", "childAction", 4, PropCategory.CHILD_ACTION) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop._addConstant("deleteAll", "deleteall", 16384) prop._addConstant("deleteNonPresent", "deletenonpresent", 8192) prop._addConstant("ignore", "ignore", 4096) meta.props.add("childAction", prop) prop = PropMeta("str", "dn", "dn", 1, PropCategory.DN) prop.label = "None" prop.isDn = True prop.isImplicit = True prop.isAdmin = True prop.isCreateOnly = True meta.props.add("dn", prop) prop = PropMeta("str", "lcOwn", "lcOwn", 9, PropCategory.REGULAR) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop.defaultValue = 0 prop.defaultValueStr = "local" prop._addConstant("implicit", "implicit", 4) prop._addConstant("local", "local", 0) prop._addConstant("policy", "policy", 1) prop._addConstant("replica", "replica", 2) prop._addConstant("resolveOnBehalf", "resolvedonbehalf", 3) meta.props.add("lcOwn", prop) prop = PropMeta("str", "modTs", "modTs", 7, PropCategory.REGULAR) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop.defaultValue = 0 prop.defaultValueStr = "never" prop._addConstant("never", "never", 0) meta.props.add("modTs", prop) prop = PropMeta("str", "rn", "rn", 2, PropCategory.RN) prop.label = "None" prop.isRn = True prop.isImplicit = True prop.isAdmin = True prop.isCreateOnly = True meta.props.add("rn", prop) prop = PropMeta("str", "status", "status", 3, PropCategory.STATUS) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop._addConstant("created", "created", 2) prop._addConstant("deleted", "deleted", 8) prop._addConstant("modified", "modified", 4) meta.props.add("status", prop) prop = PropMeta("str", "tCl", "tCl", 12197, PropCategory.REGULAR) prop.label = "Target-class" prop.isImplicit = True prop.isAdmin = True prop.defaultValue = 1888 prop.defaultValueStr = "fvSvcBD" prop._addConstant("fvSvcBD", None, 1888) prop._addConstant("unspecified", "unspecified", 0) meta.props.add("tCl", prop) prop = PropMeta("str", "tDn", "tDn", 100, PropCategory.REGULAR) prop.label = "Target-dn" prop.isImplicit = True prop.isAdmin = True meta.props.add("tDn", prop) # Deployment Meta meta.deploymentQuery = True meta.deploymentType = "Ancestor" meta.deploymentQueryPaths.append(DeploymentPathMeta("BDToNwIf", "Bridge Domain to Interface", "cobra.model.nw.If")) def __init__(self, parentMoOrDn, markDirty=True, **creationProps): namingVals = [] Mo.__init__(self, parentMoOrDn, markDirty, *namingVals, **creationProps) # End of package file # ##################################################

[ "[email protected]" ]

[email protected]

5577adbf39c30e7cfa89c76e8eb07f81dca2ff8c

37c6507cb937312017fb05e1010007419e68e5a8

/post_to_gminer/client_send.py

94e58eb54cd07a652d151cf836a26292163b5a0e

[]

no_license

bbcf/gdv

5fc04e186fd0487db6bce850538cba77e82b6284

f8738e7dc49ca826e29f4454484d2da716389bd2

refs/heads/master

2021-01-21T19:28:54.558176

2011-07-01T15:01:21

1,186,918

2

0

null

UTF-8

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1,181

py

# Modules # import httplib2, urllib # All parameters # args = { 'data' : '''{"operation_type":"desc_stat","characteristic":"number_of_features","compare_parents":[],"per_chromosome":["per_chromosome"],"filter":[{"name":"Ribi genes","path":"/scratch/genomic/tracks/ribosome_genesis.sql"}],"ntracks":[{"name":"S. cer refseq genes","path":"/scratch/genomic/tracks/all_yeast_genes.sql"},{"name":"RP genes","path":"/scratch/genomic/tracks/ribosome_proteins.sql"}]}''', 'output_location' : '/tmp/gMiner', 'callback_url' : 'http://localhost:9999/', 'job_id' : '1' } # Make the request # connection = httplib2.Http() body = urllib.urlencode(args) headers = {'content-type':'application/x-www-form-urlencoded'} address = "http://localhost:7522/" # Send it # response, content = connection.request(address, "POST", body=body, headers=headers) print "Server status: ", response.status print "Server reason: ", response.reason print "Server content:", content #-----------------------------------------# # This code was written by Lucas Sinclair # # [email protected] # #-----------------------------------------#

[ "[email protected]" ]

[email protected]

2b72601aa35f22fe7285d28cc4fd151b2cd8bd11

fa798e1779af170ee31bfd710a6faca9904a99ef

/6day/2. parameter2.py

ee3813869b83825983ac1f98dfcf349e50f27af4

[]

no_license

itwebMJ/pythonStudy

1c573f98b78ce8c9273ae17a44d59a5a26c61b2c

8ea3112c9c587b6aeb8a5fa6ef715053286fbaae

refs/heads/master

2023-06-28T05:37:29.239010

2021-08-06T08:01:54

375,879,186

1

0

null

UTF-8

Python

false

381

py

def f1(*x): #가변인자. 튜플로 받아옴 print('함수시작') for i in x: print(i) print('함수 끝') def add(*num): s = 0 for i in num: s+=i return s def main(): f1() f1('aaa', 'bbb') f1('ccc','ddd','eee','fff') s=add(1,2,3) print('add(1,2,3):',s) s=add(1,2,3,4,5) print('add(1,2,3,4,5):', s) main()

[ "[email protected]" ]

[email protected]

bfba7db224c5d590de0eaa96f0737a4849accb57

d094ba0c8a9b1217fbf014aa79a283a49aabe88c

/env/lib/python3.6/site-packages/nipype/interfaces/minc/tests/test_auto_Dump.py

bcca2a480195741d1cc2f4ccc5cdf6e3271a276a

[ "Apache-2.0" ]

permissive

Raniac/NEURO-LEARN

d9274e0baadd97bb02da54bdfcf6ca091fc1c703

3c3acc55de8ba741e673063378e6cbaf10b64c7a

refs/heads/master

2022-12-25T23:46:54.922237

2020-09-06T03:15:14

182,013,100

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Apache-2.0

2022-12-09T21:01:00

2019-04-18T03:57:00

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1,907

py

# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT from __future__ import unicode_literals from ..minc import Dump def test_Dump_inputs(): input_map = dict( annotations_brief=dict( argstr='-b %s', xor=('annotations_brief', 'annotations_full'), ), annotations_full=dict( argstr='-f %s', xor=('annotations_brief', 'annotations_full'), ), args=dict(argstr='%s', ), coordinate_data=dict( argstr='-c', xor=('coordinate_data', 'header_data'), ), environ=dict( nohash=True, usedefault=True, ), header_data=dict( argstr='-h', xor=('coordinate_data', 'header_data'), ), input_file=dict( argstr='%s', mandatory=True, position=-2, ), line_length=dict(argstr='-l %d', ), netcdf_name=dict(argstr='-n %s', ), out_file=dict( argstr='> %s', genfile=True, position=-1, ), output_file=dict( hash_files=False, keep_extension=False, name_source=['input_file'], name_template='%s_dump.txt', position=-1, ), precision=dict(argstr='%s', ), variables=dict( argstr='-v %s', sep=',', ), ) inputs = Dump.input_spec() for key, metadata in list(input_map.items()): for metakey, value in list(metadata.items()): assert getattr(inputs.traits()[key], metakey) == value def test_Dump_outputs(): output_map = dict(output_file=dict(), ) outputs = Dump.output_spec() for key, metadata in list(output_map.items()): for metakey, value in list(metadata.items()): assert getattr(outputs.traits()[key], metakey) == value

[ "[email protected]" ]

[email protected]

fa43a838c4978b258a9605d31ab39eb249c8b487

ce76b3ef70b885d7c354b6ddb8447d111548e0f1

/thing_and_time/year/different_group_or_way/own_hand/bad_woman/old_week.py

9639b61edb0de71dc9e7ec473e80b69899594523

[]

no_license

JingkaiTang/github-play

9bdca4115eee94a7b5e4ae9d3d6052514729ff21

51b550425a91a97480714fe9bc63cb5112f6f729

refs/heads/master

2021-01-20T20:18:21.249162

2016-08-19T07:20:12

60,834,519

0

null

UTF-8

Python

false

219

py

#! /usr/bin/env python def great_week(str_arg): year_and_day(str_arg) print('way_and_little_place') def year_and_day(str_arg): print(str_arg) if __name__ == '__main__': great_week('want_first_time')

[ "[email protected]" ]

[email protected]

ea5aa6c50f98a175bed92349bae0a7dfb2f69265

13b70fefe74a4df57c80207a9f5fddb2c2474f1d

/Ui/Ui_FormConfig.py

f8737de39a52a6332ceafb06dfe1692b405643d9

[]

no_license

golden7602/zion

4f8ae947fd754d64de44bb16d9bd2bd7f8c819a5

70a5ba13eb1b504f94fdaceba7cc6d0564618c00

refs/heads/master

2021-07-01T13:46:03.769916

2020-12-01T11:15:01

196,413,935

0

null

UTF-8

Python

false

18,713

py

# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'e:\Zion\zion\Ui\FormConfig.ui' # # Created by: PyQt5 UI code generator 5.13.0 # # WARNING! All changes made in this file will be lost! from PyQt5 import QtCore, QtGui, QtWidgets class Ui_Dialog(object): def setupUi(self, Dialog): Dialog.setObjectName("Dialog") Dialog.resize(971, 676) font = QtGui.QFont() font.setFamily("Arial") font.setPointSize(10) Dialog.setFont(font) self.verticalLayout = QtWidgets.QVBoxLayout(Dialog) self.verticalLayout.setContentsMargins(3, 3, -1, 3) self.verticalLayout.setObjectName("verticalLayout") self.tabWidget = QtWidgets.QTabWidget(Dialog) self.tabWidget.setObjectName("tabWidget") self.tab1 = QtWidgets.QWidget() self.tab1.setObjectName("tab1") self.verticalLayout_2 = QtWidgets.QVBoxLayout(self.tab1) self.verticalLayout_2.setContentsMargins(3, 3, 3, 3) self.verticalLayout_2.setObjectName("verticalLayout_2") self.label = QtWidgets.QLabel(self.tab1) self.label.setObjectName("label") self.verticalLayout_2.addWidget(self.label) self.Note_PrintingOrder = QtWidgets.QTextEdit(self.tab1) self.Note_PrintingOrder.setObjectName("Note_PrintingOrder") self.verticalLayout_2.addWidget(self.Note_PrintingOrder) self.label_2 = QtWidgets.QLabel(self.tab1) self.label_2.setObjectName("label_2") self.verticalLayout_2.addWidget(self.label_2) self.Bank_Account = QtWidgets.QTextEdit(self.tab1) self.Bank_Account.setObjectName("Bank_Account") self.verticalLayout_2.addWidget(self.Bank_Account) self.horizontalLayout_2 = QtWidgets.QHBoxLayout() self.horizontalLayout_2.setObjectName("horizontalLayout_2") self.verticalLayout_2.addLayout(self.horizontalLayout_2) self.tabWidget.addTab(self.tab1, "") self.tab = QtWidgets.QWidget() self.tab.setObjectName("tab") self.verticalLayout_6 = QtWidgets.QVBoxLayout(self.tab) self.verticalLayout_6.setObjectName("verticalLayout_6") self.verticalLayout_5 = QtWidgets.QVBoxLayout() self.verticalLayout_5.setObjectName("verticalLayout_5") self.label_8 = QtWidgets.QLabel(self.tab) self.label_8.setObjectName("label_8") self.verticalLayout_5.addWidget(self.label_8) self.BillCopys_Order = QtWidgets.QTextEdit(self.tab) self.BillCopys_Order.setMaximumSize(QtCore.QSize(16777215, 40)) self.BillCopys_Order.setObjectName("BillCopys_Order") self.verticalLayout_5.addWidget(self.BillCopys_Order) self.label_9 = QtWidgets.QLabel(self.tab) self.label_9.setObjectName("label_9") self.verticalLayout_5.addWidget(self.label_9) self.BillCopys_PrintingOrder = QtWidgets.QTextEdit(self.tab) self.BillCopys_PrintingOrder.setMaximumSize(QtCore.QSize(16777215, 40)) self.BillCopys_PrintingOrder.setObjectName("BillCopys_PrintingOrder") self.verticalLayout_5.addWidget(self.BillCopys_PrintingOrder) self.label_10 = QtWidgets.QLabel(self.tab) self.label_10.setObjectName("label_10") self.verticalLayout_5.addWidget(self.label_10) self.BillCopys_OutboundOrder = QtWidgets.QTextEdit(self.tab) self.BillCopys_OutboundOrder.setMaximumSize(QtCore.QSize(16777215, 40)) self.BillCopys_OutboundOrder.setObjectName("BillCopys_OutboundOrder") self.verticalLayout_5.addWidget(self.BillCopys_OutboundOrder) self.label_11 = QtWidgets.QLabel(self.tab) self.label_11.setObjectName("label_11") self.verticalLayout_5.addWidget(self.label_11) self.BillCopys_WarehouseRreceipt = QtWidgets.QTextEdit(self.tab) self.BillCopys_WarehouseRreceipt.setMaximumSize(QtCore.QSize(16777215, 40)) self.BillCopys_WarehouseRreceipt.setObjectName("BillCopys_WarehouseRreceipt") self.verticalLayout_5.addWidget(self.BillCopys_WarehouseRreceipt) self.label_12 = QtWidgets.QLabel(self.tab) self.label_12.setObjectName("label_12") self.verticalLayout_5.addWidget(self.label_12) self.BillCopys_QuotationOrder = QtWidgets.QTextEdit(self.tab) self.BillCopys_QuotationOrder.setMaximumSize(QtCore.QSize(16777215, 40)) self.BillCopys_QuotationOrder.setObjectName("BillCopys_QuotationOrder") self.verticalLayout_5.addWidget(self.BillCopys_QuotationOrder) self.label_13 = QtWidgets.QLabel(self.tab) self.label_13.setObjectName("label_13") self.verticalLayout_5.addWidget(self.label_13) self.BillCopys_QuotationPrintingOrder = QtWidgets.QTextEdit(self.tab) self.BillCopys_QuotationPrintingOrder.setMaximumSize(QtCore.QSize(16777215, 40)) self.BillCopys_QuotationPrintingOrder.setObjectName("BillCopys_QuotationPrintingOrder") self.verticalLayout_5.addWidget(self.BillCopys_QuotationPrintingOrder) spacerItem = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding) self.verticalLayout_5.addItem(spacerItem) self.verticalLayout_6.addLayout(self.verticalLayout_5) self.tabWidget.addTab(self.tab, "") self.tab2 = QtWidgets.QWidget() self.tab2.setObjectName("tab2") self.verticalLayout_4 = QtWidgets.QVBoxLayout(self.tab2) self.verticalLayout_4.setObjectName("verticalLayout_4") self.frame = QtWidgets.QFrame(self.tab2) self.frame.setFrameShape(QtWidgets.QFrame.StyledPanel) self.frame.setFrameShadow(QtWidgets.QFrame.Raised) self.frame.setObjectName("frame") self.verticalLayout_3 = QtWidgets.QVBoxLayout(self.frame) self.verticalLayout_3.setObjectName("verticalLayout_3") self.horizontalLayout_3 = QtWidgets.QHBoxLayout() self.horizontalLayout_3.setObjectName("horizontalLayout_3") self.label_4 = QtWidgets.QLabel(self.frame) self.label_4.setObjectName("label_4") self.horizontalLayout_3.addWidget(self.label_4) spacerItem1 = QtWidgets.QSpacerItem(35, 20, QtWidgets.QSizePolicy.Fixed, QtWidgets.QSizePolicy.Minimum) self.horizontalLayout_3.addItem(spacerItem1) self.Null_prompt_bac_color = QtWidgets.QWidget(self.frame) self.Null_prompt_bac_color.setMinimumSize(QtCore.QSize(100, 0)) self.Null_prompt_bac_color.setStyleSheet("background-color: rgb(255, 0, 255);\n" "border: 1px inset ;\n" "border-color: rgb(194, 194, 194);\n" "") self.Null_prompt_bac_color.setObjectName("Null_prompt_bac_color") self.horizontalLayout_3.addWidget(self.Null_prompt_bac_color) self.colorpicker = QtWidgets.QPushButton(self.frame) self.colorpicker.setMinimumSize(QtCore.QSize(25, 0)) self.colorpicker.setMaximumSize(QtCore.QSize(25, 16777215)) self.colorpicker.setText("") icon = QtGui.QIcon() icon.addPixmap(QtGui.QPixmap("../res/ico/color_picker.ico"), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.colorpicker.setIcon(icon) self.colorpicker.setObjectName("colorpicker") self.horizontalLayout_3.addWidget(self.colorpicker) spacerItem2 = QtWidgets.QSpacerItem(40, 20, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum) self.horizontalLayout_3.addItem(spacerItem2) self.verticalLayout_3.addLayout(self.horizontalLayout_3) self.horizontalLayout_6 = QtWidgets.QHBoxLayout() self.horizontalLayout_6.setObjectName("horizontalLayout_6") self.label_5 = QtWidgets.QLabel(self.frame) self.label_5.setObjectName("label_5") self.horizontalLayout_6.addWidget(self.label_5) spacerItem3 = QtWidgets.QSpacerItem(10, 20, QtWidgets.QSizePolicy.Fixed, QtWidgets.QSizePolicy.Minimum) self.horizontalLayout_6.addItem(spacerItem3) self.PrintHighlightBackgroundColor = QtWidgets.QWidget(self.frame) self.PrintHighlightBackgroundColor.setMinimumSize(QtCore.QSize(100, 0)) self.PrintHighlightBackgroundColor.setStyleSheet("background-color: rgb(255, 0, 255);\n" "border: 1px inset ;\n" "border-color: rgb(194, 194, 194);\n" "") self.PrintHighlightBackgroundColor.setObjectName("PrintHighlightBackgroundColor") self.horizontalLayout_6.addWidget(self.PrintHighlightBackgroundColor) self.colorpicker_2 = QtWidgets.QPushButton(self.frame) self.colorpicker_2.setMinimumSize(QtCore.QSize(25, 0)) self.colorpicker_2.setMaximumSize(QtCore.QSize(25, 16777215)) self.colorpicker_2.setText("") self.colorpicker_2.setIcon(icon) self.colorpicker_2.setObjectName("colorpicker_2") self.horizontalLayout_6.addWidget(self.colorpicker_2) spacerItem4 = QtWidgets.QSpacerItem(40, 20, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum) self.horizontalLayout_6.addItem(spacerItem4) self.verticalLayout_3.addLayout(self.horizontalLayout_6) self.horizontalLayout_4 = QtWidgets.QHBoxLayout() self.horizontalLayout_4.setObjectName("horizontalLayout_4") self.label_3 = QtWidgets.QLabel(self.frame) self.label_3.setObjectName("label_3") self.horizontalLayout_4.addWidget(self.label_3) spacerItem5 = QtWidgets.QSpacerItem(40, 20, QtWidgets.QSizePolicy.Fixed, QtWidgets.QSizePolicy.Minimum) self.horizontalLayout_4.addItem(spacerItem5) self.widget = QtWidgets.QWidget(self.frame) self.widget.setObjectName("widget") self.horizontalLayout_5 = QtWidgets.QHBoxLayout(self.widget) self.horizontalLayout_5.setContentsMargins(0, 0, 0, 0) self.horizontalLayout_5.setSpacing(0) self.horizontalLayout_5.setObjectName("horizontalLayout_5") self.radioButton_AutoEllipsis = QtWidgets.QRadioButton(self.widget) self.radioButton_AutoEllipsis.setObjectName("radioButton_AutoEllipsis") self.horizontalLayout_5.addWidget(self.radioButton_AutoEllipsis) self.radioButton_AutoShrinkFonts = QtWidgets.QRadioButton(self.widget) self.radioButton_AutoShrinkFonts.setObjectName("radioButton_AutoShrinkFonts") self.horizontalLayout_5.addWidget(self.radioButton_AutoShrinkFonts) self.horizontalLayout_4.addWidget(self.widget) spacerItem6 = QtWidgets.QSpacerItem(40, 20, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum) self.horizontalLayout_4.addItem(spacerItem6) self.verticalLayout_3.addLayout(self.horizontalLayout_4) self.horizontalLayout_10 = QtWidgets.QHBoxLayout() self.horizontalLayout_10.setObjectName("horizontalLayout_10") self.label_6 = QtWidgets.QLabel(self.frame) self.label_6.setObjectName("label_6") self.horizontalLayout_10.addWidget(self.label_6) spacerItem7 = QtWidgets.QSpacerItem(40, 20, QtWidgets.QSizePolicy.Fixed, QtWidgets.QSizePolicy.Minimum) self.horizontalLayout_10.addItem(spacerItem7) self.widget_3 = QtWidgets.QWidget(self.frame) self.widget_3.setObjectName("widget_3") self.horizontalLayout_7 = QtWidgets.QHBoxLayout(self.widget_3) self.horizontalLayout_7.setContentsMargins(0, 0, 0, 0) self.horizontalLayout_7.setSpacing(0) self.horizontalLayout_7.setObjectName("horizontalLayout_7") self.radioButton_AutoRefreshWhenDataChange_Open = QtWidgets.QRadioButton(self.widget_3) self.radioButton_AutoRefreshWhenDataChange_Open.setObjectName("radioButton_AutoRefreshWhenDataChange_Open") self.horizontalLayout_7.addWidget(self.radioButton_AutoRefreshWhenDataChange_Open) self.radioButton_AutoRefreshWhenDataChange_Close = QtWidgets.QRadioButton(self.widget_3) self.radioButton_AutoRefreshWhenDataChange_Close.setObjectName("radioButton_AutoRefreshWhenDataChange_Close") self.horizontalLayout_7.addWidget(self.radioButton_AutoRefreshWhenDataChange_Close) self.horizontalLayout_10.addWidget(self.widget_3) spacerItem8 = QtWidgets.QSpacerItem(40, 20, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum) self.horizontalLayout_10.addItem(spacerItem8) self.verticalLayout_3.addLayout(self.horizontalLayout_10) self.horizontalLayout_9 = QtWidgets.QHBoxLayout() self.horizontalLayout_9.setObjectName("horizontalLayout_9") self.label_7 = QtWidgets.QLabel(self.frame) self.label_7.setObjectName("label_7") self.horizontalLayout_9.addWidget(self.label_7) spacerItem9 = QtWidgets.QSpacerItem(40, 20, QtWidgets.QSizePolicy.Fixed, QtWidgets.QSizePolicy.Minimum) self.horizontalLayout_9.addItem(spacerItem9) self.widget_2 = QtWidgets.QWidget(self.frame) self.widget_2.setObjectName("widget_2") self.horizontalLayout_8 = QtWidgets.QHBoxLayout(self.widget_2) self.horizontalLayout_8.setContentsMargins(0, 0, 0, 0) self.horizontalLayout_8.setSpacing(0) self.horizontalLayout_8.setObjectName("horizontalLayout_8") self.radioButton_BubbleTipsWhenDataChange_Open = QtWidgets.QRadioButton(self.widget_2) self.radioButton_BubbleTipsWhenDataChange_Open.setObjectName("radioButton_BubbleTipsWhenDataChange_Open") self.horizontalLayout_8.addWidget(self.radioButton_BubbleTipsWhenDataChange_Open) self.radioButton_BubbleTipsWhenDataChange_Close = QtWidgets.QRadioButton(self.widget_2) self.radioButton_BubbleTipsWhenDataChange_Close.setObjectName("radioButton_BubbleTipsWhenDataChange_Close") self.horizontalLayout_8.addWidget(self.radioButton_BubbleTipsWhenDataChange_Close) self.horizontalLayout_9.addWidget(self.widget_2) spacerItem10 = QtWidgets.QSpacerItem(40, 20, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum) self.horizontalLayout_9.addItem(spacerItem10) self.verticalLayout_3.addLayout(self.horizontalLayout_9) self.horizontalLayout_11 = QtWidgets.QHBoxLayout() self.horizontalLayout_11.setObjectName("horizontalLayout_11") self.label_14 = QtWidgets.QLabel(self.frame) self.label_14.setObjectName("label_14") self.horizontalLayout_11.addWidget(self.label_14) self.TaxRegCerPath = QtWidgets.QLineEdit(self.frame) self.TaxRegCerPath.setReadOnly(False) self.TaxRegCerPath.setObjectName("TaxRegCerPath") self.horizontalLayout_11.addWidget(self.TaxRegCerPath) self.taxRegPathSelect = QtWidgets.QPushButton(self.frame) self.taxRegPathSelect.setText("") self.taxRegPathSelect.setObjectName("taxRegPathSelect") self.horizontalLayout_11.addWidget(self.taxRegPathSelect) self.verticalLayout_3.addLayout(self.horizontalLayout_11) spacerItem11 = QtWidgets.QSpacerItem(20, 429, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding) self.verticalLayout_3.addItem(spacerItem11) self.verticalLayout_4.addWidget(self.frame) self.tabWidget.addTab(self.tab2, "") self.verticalLayout.addWidget(self.tabWidget) self.horizontalLayout = QtWidgets.QHBoxLayout() self.horizontalLayout.setObjectName("horizontalLayout") spacerItem12 = QtWidgets.QSpacerItem(40, 20, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum) self.horizontalLayout.addItem(spacerItem12) self.buttonBox = QtWidgets.QDialogButtonBox(Dialog) self.buttonBox.setOrientation(QtCore.Qt.Horizontal) self.buttonBox.setStandardButtons(QtWidgets.QDialogButtonBox.Cancel|QtWidgets.QDialogButtonBox.Ok) self.buttonBox.setObjectName("buttonBox") self.horizontalLayout.addWidget(self.buttonBox) self.verticalLayout.addLayout(self.horizontalLayout) self.retranslateUi(Dialog) self.tabWidget.setCurrentIndex(2) self.buttonBox.accepted.connect(Dialog.accept) self.buttonBox.rejected.connect(Dialog.reject) QtCore.QMetaObject.connectSlotsByName(Dialog) def retranslateUi(self, Dialog): _translate = QtCore.QCoreApplication.translate Dialog.setWindowTitle(_translate("Dialog", "Config ")) self.label.setText(_translate("Dialog", "PrintOrder单据备注内容 PrintOrder Note：")) self.label_2.setText(_translate("Dialog", "单据账户信息Conta Bancaria：")) self.tabWidget.setTabText(self.tabWidget.indexOf(self.tab1), _translate("Dialog", "BillNote")) self.label_8.setText(_translate("Dialog", "Order:")) self.label_9.setText(_translate("Dialog", "PrintingOrder:")) self.label_10.setText(_translate("Dialog", "OutboundOrder:")) self.label_11.setText(_translate("Dialog", "WarehouseRreceipt:")) self.label_12.setText(_translate("Dialog", "QuotationOrder")) self.label_13.setText(_translate("Dialog", "QuotationPrintingOrder")) self.tabWidget.setTabText(self.tabWidget.indexOf(self.tab), _translate("Dialog", "BillCopys")) self.label_4.setText(_translate("Dialog", "空值提示文背景色Null Prompt Background Color：")) self.label_5.setText(_translate("Dialog", "打印突出显示背景色Print Highlight Background Color：")) self.label_3.setText(_translate("Dialog", "文本宽度超边界时打印方式 Printing Policy When Text Width is Extra Width:")) self.radioButton_AutoEllipsis.setText(_translate("Dialog", "自动省略Auto ellipsis")) self.radioButton_AutoShrinkFonts.setText(_translate("Dialog", "自动缩小字体Auto shrink fonts")) self.label_6.setText(_translate("Dialog", "其他用户修改数据时自动刷新数据 Automatically refresh data when other users modify data:")) self.radioButton_AutoRefreshWhenDataChange_Open.setText(_translate("Dialog", "打开")) self.radioButton_AutoRefreshWhenDataChange_Close.setText(_translate("Dialog", "关闭")) self.label_7.setText(_translate("Dialog", "其他用户修改数据时气泡提示 Bubble Tips When Other Users Modify Data:")) self.radioButton_BubbleTipsWhenDataChange_Open.setText(_translate("Dialog", "打开")) self.radioButton_BubbleTipsWhenDataChange_Close.setText(_translate("Dialog", "关闭")) self.label_14.setText(_translate("Dialog", "客户税务登记证存放路径：Customer Tax registration certificate Path：")) self.tabWidget.setTabText(self.tabWidget.indexOf(self.tab2), _translate("Dialog", "other")) if __name__ == "__main__": import sys app = QtWidgets.QApplication(sys.argv) Dialog = QtWidgets.QDialog() ui = Ui_Dialog() ui.setupUi(Dialog) Dialog.show() sys.exit(app.exec_())

[ "[email protected]" ]

[email protected]

917dadb212ec658472de836a5b21d4d5c5744946

1cc17b2eb1c885389126299602dbaa3bbd1e6dd7

/liaoxuefeng_python/innerbuilt/do_wearth_parse.py

cc2b69122069756e6f36f542b652328b8a61a467

[]

no_license

shulu/python_note

e611093ff2af321fbc889167424574b214052b44

93b101a1723d2d47b435a25e81e447f0d5d95022

refs/heads/master

2021-01-02T22:47:53.717930

2019-03-26T08:55:48

99,391,822

1

0

null

UTF-8

Python

false

3,138

py

# -*- coding: utf-8 -*- from xml.parsers.expat import ParserCreate import json data = {} textlist = [] class WeatherSaxHandler(object): def start_element(self, name, attr): if not name in data: data[name] = [] data[name].append({'attr' : attr}) def char_data(self, text): textlist.append(text) def end_element(self, name): global textlist str = ''.join(textlist) data[name][-1]['text'] = str textlist = [] def parse_weather(xml): handler = WeatherSaxHandler() parser = ParserCreate() parser.StartElementHandler = handler.start_element parser.EndElementHandler = handler.end_element parser.CharacterDataHandler = handler.char_data parser.Parse(xml) location = data['yweather:location'] forecast = data['yweather:forecast'] return { 'city': location[0]['attr']['city'], 'country': location[0]['attr']['country'], 'today': { 'text': forecast[0]['attr']['text'], 'low': forecast[0]['attr']['low'], 'high': forecast[0]['attr']['high'], }, 'tomorrow': { 'text': forecast[1]['attr']['text'], 'low': forecast[1]['attr']['low'], 'high': forecast[1]['attr']['high'], }, } #可将数据写入json文件 # with open('weather_data.json', 'w') as f: # json.dump(data, f) if __name__ == '__main__': from do_weather_xml import getWeatherXML xml = getWeatherXML() d = parse_weather(xml) print(str(d)) data = r'''<?xml version="1.0" encoding="UTF-8" standalone="yes" ?> <rss version="2.0" xmlns:yweather="http://xml.weather.yahoo.com/ns/rss/1.0" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#"> <channel> <title>Yahoo! Weather - Beijing, CN</title> <lastBuildDate>Wed, 27 May 2015 11:00 am CST</lastBuildDate> <yweather:location city="Beijing" region="" country="China"/> <yweather:units temperature="C" distance="km" pressure="mb" speed="km/h"/> <yweather:wind chill="28" direction="180" speed="14.48" /> <yweather:atmosphere humidity="53" visibility="2.61" pressure="1006.1" rising="0" /> <yweather:astronomy sunrise="4:51 am" sunset="7:32 pm"/> <item> <geo:lat>39.91</geo:lat> <geo:long>116.39</geo:long> <pubDate>Wed, 27 May 2015 11:00 am CST</pubDate> <yweather:condition text="Haze" code="21" temp="28" date="Wed, 27 May 2015 11:00 am CST" /> <yweather:forecast day="Wed" date="27 May 2015" low="20" high="33" text="Partly Cloudy" code="30" /> <yweather:forecast day="Thu" date="28 May 2015" low="21" high="34" text="Sunny" code="32" /> <yweather:forecast day="Fri" date="29 May 2015" low="18" high="25" text="AM Showers" code="39" /> <yweather:forecast day="Sat" date="30 May 2015" low="18" high="32" text="Sunny" code="32" /> <yweather:forecast day="Sun" date="31 May 2015" low="20" high="37" text="Sunny" code="32" /> </item> </channel> </rss> ''' print(parse_weather(data))

[ "[email protected]" ]

[email protected]

d84e266712ab016b57c02f337ed36cb13b123d9a

75e16fc6883e3e314b21ccf337beb0320bbcae50

/train.py

2f18cc8ed8e16739d9b6c577004d390b0b4c6768

[]

no_license

mihirp1998/convHypernetComp

a0a9404ab6abf29a56733ea88d45a10f397d551d

6ed0632af965b81ac38cf3ed7bd9215adadb1902

refs/heads/master

2021-08-18T11:11:32.464130

2020-04-24T23:44:15

169,819,367

0

null

2019-02-09T18:08:45

2019-02-09T01:07:13

Jupyter Notebook

UTF-8

Python

false

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import time import os import argparse import numpy as np import torch import torch.optim as optim import torch.optim.lr_scheduler as LS import torch.nn as nn import torch.nn.functional as F from torch.autograd import Variable import torch.utils.data as data from torchvision import transforms from torch.nn.parameter import Parameter #from unet import UNet,Feedforward parser = argparse.ArgumentParser() parser.add_argument( '--batch-size', '-N', type=int, default=128, help='batch size') parser.add_argument( '--train', '-f', required=True, type=str, help='folder of training images') parser.add_argument( '--max-epochs', '-e', type=int, default=20000, help='max epochs') parser.add_argument('--lr', type=float, default=0.0005, help='learning rate') # parser.add_argument('--cuda', '-g', action='store_true', help='enables cuda') parser.add_argument( '--iterations', type=int, default=16, help='unroll iterations') parser.add_argument('--checkpoint', type=int, help='unroll iterations') parser.add_argument('--update', type=int, help='unroll update') args = parser.parse_args() import new_dataset as dataset train_set = dataset.ImageFolder(root=args.train,train=False,file_name ="outValid15_100Vids.p") train_loader = data.DataLoader( dataset=train_set, batch_size=args.batch_size, shuffle=True, num_workers=1) print('total images: {}; total batches: {}'.format( len(train_set), len(train_loader))) import network hypernet = network.HyperNetwork(train_set.vid_count).cuda() encoder = network.EncoderCell().cuda() binarizer = network.Binarizer().cuda() decoder = network.DecoderCell().cuda() def count_parameters(model): return sum(p.numel() for p in model.parameters() if p.requires_grad) print("hypernet ",count_parameters(hypernet)) print("encoder ",count_parameters(encoder)) print("decoder ",count_parameters(decoder)) print("binarizer ",count_parameters(binarizer)) solver = optim.Adam( [ { 'params': hypernet.parameters() } ], lr=args.lr) def resume(epoch=None): if epoch is None: s = 'iter' epoch = 0 else: s = 'epoch' print("Loaded") hypernet.load_state_dict( torch.load('checkpoint100_100vids_wn/hypernet_{}_{:08d}.pth'.format(s, epoch))) def save(index, epoch=True): if not os.path.exists('checkpoint100_100vids_wn'): os.mkdir('checkpoint100_100vids_wn') if epoch: s = 'epoch' else: s = 'iter' torch.save(hypernet.state_dict(), 'checkpoint100_100vids_wn/hypernet_{}_{:08d}.pth'.format(s, index)) # resume() scheduler = LS.MultiStepLR(solver, milestones=[50, 100, 200, 300, 400], gamma=0.5) last_epoch = 100 if args.checkpoint: resume(args.checkpoint) #last_epoch = 0 scheduler.last_epoch = last_epoch - 1 vepoch=0 index =0 solver.zero_grad() loss_mini_batch = 0 all_losses = [] for epoch in range(last_epoch + 1, args.max_epochs + 1): #scheduler.step() for batch, (data,id_num,name) in enumerate(train_loader): batch_t0 = time.time() data = data[0] batch_size, input_channels, height, width = data.size() encoder_h_1 = (Variable( torch.zeros(batch_size, 256, height // 4, width // 4)), Variable( torch.zeros(batch_size, 256, height // 4, width // 4))) encoder_h_2 = (Variable( torch.zeros(batch_size, 512, height // 8, width // 8)), Variable( torch.zeros(batch_size, 512, height // 8, width // 8))) encoder_h_3 = (Variable( torch.zeros(batch_size, 512, height // 16, width // 16)), Variable( torch.zeros(batch_size, 512, height // 16, width // 16))) decoder_h_1 = (Variable( torch.zeros(batch_size, 512, height // 16, width // 16)), Variable( torch.zeros(batch_size, 512, height // 16, width // 16))) decoder_h_2 = (Variable( torch.zeros(batch_size, 512, height // 8, width // 8)), Variable( torch.zeros(batch_size, 512, height // 8, width // 8))) decoder_h_3 = (Variable( torch.zeros(batch_size, 256, height // 4, width // 4)), Variable( torch.zeros(batch_size, 256, height // 4, width // 4))) decoder_h_4 = (Variable( torch.zeros(batch_size, 128, height // 2, width // 2)), Variable( torch.zeros(batch_size, 128, height // 2, width // 2))) encoder_h_1 = (encoder_h_1[0].cuda(), encoder_h_1[1].cuda()) encoder_h_2 = (encoder_h_2[0].cuda(), encoder_h_2[1].cuda()) encoder_h_3 = (encoder_h_3[0].cuda(), encoder_h_3[1].cuda()) decoder_h_1 = (decoder_h_1[0].cuda(), decoder_h_1[1].cuda()) decoder_h_2 = (decoder_h_2[0].cuda(), decoder_h_2[1].cuda()) decoder_h_3 = (decoder_h_3[0].cuda(), decoder_h_3[1].cuda()) decoder_h_4 = (decoder_h_4[0].cuda(), decoder_h_4[1].cuda()) patches = Variable(data.cuda()) #solver.zero_grad() losses = [] res = patches - 0.5 id_num = Variable(id_num.cuda()) wenc,wdec,wbin = hypernet(id_num,batch_size) bp_t0 = time.time() for i in range(args.iterations): encoded, encoder_h_1, encoder_h_2, encoder_h_3 = encoder( res,wenc,encoder_h_1, encoder_h_2, encoder_h_3,batch_size) codes = binarizer(encoded,wbin,batch_size) output, decoder_h_1, decoder_h_2, decoder_h_3, decoder_h_4 = decoder( codes,wdec, decoder_h_1, decoder_h_2, decoder_h_3, decoder_h_4,batch_size) res = res - output losses.append(res.abs().mean()) all_losses.append(losses) bp_t1 = time.time() loss = sum(losses) / args.iterations loss = loss/args.update loss.backward() loss_mini_batch += loss.data[0] if (index +1) % args.update == 0: # Do a SGD step once every iter_size iterations solver.step() solver.zero_grad() # print("Iter: %02d, Loss: %4.4f" % (i, loss_mini_batch/10)) batch_t1 = time.time() print('[TRAIN] Epoch[{}]({}/{}); Loss: {:.6f}; Backpropagation: {:.4f} sec; Batch: {:.4f} sec'.format(epoch, batch + 1,len(train_loader), loss_mini_batch, bp_t1 - bp_t0, batch_t1 -batch_t0)) print(('{:.4f} ' * args.iterations +'\n').format(* [l.data[0] for l in np.array(all_losses).mean(axis=0)])) loss_mini_batch = 0 all_losses = [] index = (epoch - 1) * len(train_loader) + batch if index % 700 == 0 and index != 0: vepoch+=1 #save(vepoch) #print("scheduled") #scheduler.step() # if index % 2000 == 0 and index != 0: # vepoch+=1 # scheduler.step() if index % 2000 == 0 and index != 0: save(0, False) if epoch % 100 == 0: save(epoch)

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[email protected]

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""" @brief test tree node (time=12s) """ import os import unittest import numpy from PIL import Image from pyquickhelper.pycode import get_temp_folder, ExtTestCase from lightmlrestapi.testing.template_dl_torch import restapi_version, restapi_load, restapi_predict def get_torch(): try: import torch # pylint: disable=C0415 return torch except ImportError: return None class TestTemplateDlTorch(ExtTestCase): @unittest.skipIf(get_torch() is None, reason="no torch") def test_template_dl_keras(self): self.assertEqual(restapi_version(), "0.1.1238") temp = get_temp_folder(__file__, "temp_template_dl_torch") import torchvision.models as models # pylint: disable=E0401,C0415,R0402 import torch # pylint: disable=E0401,C0415 model = models.squeezenet1_0(pretrained=True) model_name = os.path.join(temp, "model.torch") torch.save(model, model_name) img_input = os.path.join(temp, "..", "data", "wiki_modified2.png") img_input = numpy.array(Image.open(img_input)) mo = restapi_load({'model': model_name}) pred = restapi_predict(mo, img_input) self.assertIsInstance(pred, numpy.ndarray) self.assertEqual(pred.shape, (1, 1000)) if __name__ == "__main__": unittest.main()

[ "[email protected]" ]

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/src/transformers/models/upernet/modeling_upernet.py

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# coding=utf-8 # Copyright 2022 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ PyTorch UperNet model. Based on OpenMMLab's implementation, found in https://github.com/open-mmlab/mmsegmentation.""" from typing import List, Optional, Tuple, Union import torch from torch import nn from torch.nn import CrossEntropyLoss from ... import AutoBackbone from ...modeling_outputs import SemanticSegmenterOutput from ...modeling_utils import PreTrainedModel from ...utils import add_start_docstrings, add_start_docstrings_to_model_forward, replace_return_docstrings from ...utils.backbone_utils import BackboneMixin from .configuration_upernet import UperNetConfig UPERNET_PRETRAINED_MODEL_ARCHIVE_LIST = [ "openmmlab/upernet-convnext-tiny", # See all UperNet models at https://huggingface.co/models?filter=upernet ] # General docstring _CONFIG_FOR_DOC = "UperNetConfig" class UperNetConvModule(nn.Module): """ A convolutional block that bundles conv/norm/activation layers. This block simplifies the usage of convolution layers, which are commonly used with a norm layer (e.g., BatchNorm) and activation layer (e.g., ReLU). """ def __init__( self, in_channels: int, out_channels: int, kernel_size: Union[int, Tuple[int, int]], padding: Union[int, Tuple[int, int], str] = 0, bias: bool = False, dilation: Union[int, Tuple[int, int]] = 1, ) -> None: super().__init__() self.conv = nn.Conv2d( in_channels=in_channels, out_channels=out_channels, kernel_size=kernel_size, padding=padding, bias=bias, dilation=dilation, ) self.batch_norm = nn.BatchNorm2d(out_channels) self.activation = nn.ReLU() def forward(self, input: torch.Tensor) -> torch.Tensor: output = self.conv(input) output = self.batch_norm(output) output = self.activation(output) return output class UperNetPyramidPoolingBlock(nn.Module): def __init__(self, pool_scale: int, in_channels: int, channels: int) -> None: super().__init__() self.layers = [ nn.AdaptiveAvgPool2d(pool_scale), UperNetConvModule(in_channels, channels, kernel_size=1), ] for i, layer in enumerate(self.layers): self.add_module(str(i), layer) def forward(self, input: torch.Tensor) -> torch.Tensor: hidden_state = input for layer in self.layers: hidden_state = layer(hidden_state) return hidden_state class UperNetPyramidPoolingModule(nn.Module): """ Pyramid Pooling Module (PPM) used in PSPNet. Args: pool_scales (`Tuple[int]`): Pooling scales used in Pooling Pyramid Module. in_channels (`int`): Input channels. channels (`int`): Channels after modules, before conv_seg. align_corners (`bool`): align_corners argument of F.interpolate. """ def __init__(self, pool_scales: Tuple[int, ...], in_channels: int, channels: int, align_corners: bool) -> None: super().__init__() self.pool_scales = pool_scales self.align_corners = align_corners self.in_channels = in_channels self.channels = channels self.blocks = [] for i, pool_scale in enumerate(pool_scales): block = UperNetPyramidPoolingBlock(pool_scale=pool_scale, in_channels=in_channels, channels=channels) self.blocks.append(block) self.add_module(str(i), block) def forward(self, x: torch.Tensor) -> List[torch.Tensor]: ppm_outs = [] for ppm in self.blocks: ppm_out = ppm(x) upsampled_ppm_out = nn.functional.interpolate( ppm_out, size=x.size()[2:], mode="bilinear", align_corners=self.align_corners ) ppm_outs.append(upsampled_ppm_out) return ppm_outs class UperNetHead(nn.Module): """ Unified Perceptual Parsing for Scene Understanding. This head is the implementation of [UPerNet](https://arxiv.org/abs/1807.10221). """ def __init__(self, config, in_channels): super().__init__() self.config = config self.pool_scales = config.pool_scales # e.g. (1, 2, 3, 6) self.in_channels = in_channels self.channels = config.hidden_size self.align_corners = False self.classifier = nn.Conv2d(self.channels, config.num_labels, kernel_size=1) # PSP Module self.psp_modules = UperNetPyramidPoolingModule( self.pool_scales, self.in_channels[-1], self.channels, align_corners=self.align_corners, ) self.bottleneck = UperNetConvModule( self.in_channels[-1] + len(self.pool_scales) * self.channels, self.channels, kernel_size=3, padding=1, ) # FPN Module self.lateral_convs = nn.ModuleList() self.fpn_convs = nn.ModuleList() for in_channels in self.in_channels[:-1]: # skip the top layer l_conv = UperNetConvModule(in_channels, self.channels, kernel_size=1) fpn_conv = UperNetConvModule(self.channels, self.channels, kernel_size=3, padding=1) self.lateral_convs.append(l_conv) self.fpn_convs.append(fpn_conv) self.fpn_bottleneck = UperNetConvModule( len(self.in_channels) * self.channels, self.channels, kernel_size=3, padding=1, ) def init_weights(self): self.apply(self._init_weights) def _init_weights(self, module): if isinstance(module, nn.Conv2d): module.weight.data.normal_(mean=0.0, std=self.config.initializer_range) if module.bias is not None: module.bias.data.zero_() def psp_forward(self, inputs): x = inputs[-1] psp_outs = [x] psp_outs.extend(self.psp_modules(x)) psp_outs = torch.cat(psp_outs, dim=1) output = self.bottleneck(psp_outs) return output def forward(self, encoder_hidden_states: torch.Tensor) -> torch.Tensor: # build laterals laterals = [lateral_conv(encoder_hidden_states[i]) for i, lateral_conv in enumerate(self.lateral_convs)] laterals.append(self.psp_forward(encoder_hidden_states)) # build top-down path used_backbone_levels = len(laterals) for i in range(used_backbone_levels - 1, 0, -1): prev_shape = laterals[i - 1].shape[2:] laterals[i - 1] = laterals[i - 1] + nn.functional.interpolate( laterals[i], size=prev_shape, mode="bilinear", align_corners=self.align_corners ) # build outputs fpn_outs = [self.fpn_convs[i](laterals[i]) for i in range(used_backbone_levels - 1)] # append psp feature fpn_outs.append(laterals[-1]) for i in range(used_backbone_levels - 1, 0, -1): fpn_outs[i] = nn.functional.interpolate( fpn_outs[i], size=fpn_outs[0].shape[2:], mode="bilinear", align_corners=self.align_corners ) fpn_outs = torch.cat(fpn_outs, dim=1) output = self.fpn_bottleneck(fpn_outs) output = self.classifier(output) return output class UperNetFCNHead(nn.Module): """ Fully Convolution Networks for Semantic Segmentation. This head is the implementation of [FCNNet](https://arxiv.org/abs/1411.4038>). Args: config: Configuration. in_channels (int): Number of input channels. kernel_size (int): The kernel size for convs in the head. Default: 3. dilation (int): The dilation rate for convs in the head. Default: 1. """ def __init__( self, config, in_index: int = 2, kernel_size: int = 3, dilation: Union[int, Tuple[int, int]] = 1 ) -> None: super().__init__() self.config = config self.in_channels = config.auxiliary_in_channels self.channels = config.auxiliary_channels self.num_convs = config.auxiliary_num_convs self.concat_input = config.auxiliary_concat_input self.in_index = in_index conv_padding = (kernel_size // 2) * dilation convs = [] convs.append( UperNetConvModule( self.in_channels, self.channels, kernel_size=kernel_size, padding=conv_padding, dilation=dilation ) ) for i in range(self.num_convs - 1): convs.append( UperNetConvModule( self.channels, self.channels, kernel_size=kernel_size, padding=conv_padding, dilation=dilation ) ) if self.num_convs == 0: self.convs = nn.Identity() else: self.convs = nn.Sequential(*convs) if self.concat_input: self.conv_cat = UperNetConvModule( self.in_channels + self.channels, self.channels, kernel_size=kernel_size, padding=kernel_size // 2 ) self.classifier = nn.Conv2d(self.channels, config.num_labels, kernel_size=1) def init_weights(self): self.apply(self._init_weights) def _init_weights(self, module): if isinstance(module, nn.Conv2d): module.weight.data.normal_(mean=0.0, std=self.config.initializer_range) if module.bias is not None: module.bias.data.zero_() def forward(self, encoder_hidden_states: torch.Tensor) -> torch.Tensor: # just take the relevant feature maps hidden_states = encoder_hidden_states[self.in_index] output = self.convs(hidden_states) if self.concat_input: output = self.conv_cat(torch.cat([hidden_states, output], dim=1)) output = self.classifier(output) return output class UperNetPreTrainedModel(PreTrainedModel): """ An abstract class to handle weights initialization and a simple interface for downloading and loading pretrained models. """ config_class = UperNetConfig main_input_name = "pixel_values" supports_gradient_checkpointing = True def _init_weights(self, module): if isinstance(module, UperNetPreTrainedModel): module.backbone.init_weights() module.decode_head.init_weights() module.auxiliary_head.init_weights() def init_weights(self): """Initialize the weights""" self.backbone.init_weights() self.decode_head.init_weights() self.auxiliary_head.init_weights() def _set_gradient_checkpointing(self, module, value=False): if isinstance(module, BackboneMixin): module.gradient_checkpointing = value UPERNET_START_DOCSTRING = r""" Parameters: This model is a PyTorch [torch.nn.Module](https://pytorch.org/docs/stable/nn.html#torch.nn.Module) sub-class. Use it as a regular PyTorch Module and refer to the PyTorch documentation for all matter related to general usage and behavior. config ([`UperNetConfig`]): Model configuration class with all the parameters of the model. Initializing with a config file does not load the weights associated with the model, only the configuration. Check out the [`~PreTrainedModel.from_pretrained`] method to load the model weights. """ UPERNET_INPUTS_DOCSTRING = r""" Args: pixel_values (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)`): Pixel values. Padding will be ignored by default should you provide it. Pixel values can be obtained using [`AutoImageProcessor`]. See [`SegformerImageProcessor.__call__`] for details. output_attentions (`bool`, *optional*): Whether or not to return the attentions tensors of all attention layers in case the backbone has them. See `attentions` under returned tensors for more detail. output_hidden_states (`bool`, *optional*): Whether or not to return the hidden states of all layers of the backbone. See `hidden_states` under returned tensors for more detail. return_dict (`bool`, *optional*): Whether or not to return a [`~utils.ModelOutput`] instead of a plain tuple. """ @add_start_docstrings( """UperNet framework leveraging any vision backbone e.g. for ADE20k, CityScapes.""", UPERNET_START_DOCSTRING, ) class UperNetForSemanticSegmentation(UperNetPreTrainedModel): def __init__(self, config): super().__init__(config) self.backbone = AutoBackbone.from_config(config.backbone_config) # Semantic segmentation head(s) self.decode_head = UperNetHead(config, in_channels=self.backbone.channels) self.auxiliary_head = UperNetFCNHead(config) if config.use_auxiliary_head else None # Initialize weights and apply final processing self.post_init() @add_start_docstrings_to_model_forward(UPERNET_INPUTS_DOCSTRING.format("batch_size, sequence_length")) @replace_return_docstrings(output_type=SemanticSegmenterOutput, config_class=_CONFIG_FOR_DOC) def forward( self, pixel_values: Optional[torch.Tensor] = None, output_attentions: Optional[bool] = None, output_hidden_states: Optional[bool] = None, labels: Optional[torch.Tensor] = None, return_dict: Optional[bool] = None, ) -> Union[tuple, SemanticSegmenterOutput]: r""" labels (`torch.LongTensor` of shape `(batch_size, height, width)`, *optional*): Ground truth semantic segmentation maps for computing the loss. Indices should be in `[0, ..., config.num_labels - 1]`. If `config.num_labels > 1`, a classification loss is computed (Cross-Entropy). Returns: Examples: ```python >>> from transformers import AutoImageProcessor, UperNetForSemanticSegmentation >>> from PIL import Image >>> from huggingface_hub import hf_hub_download >>> image_processor = AutoImageProcessor.from_pretrained("openmmlab/upernet-convnext-tiny") >>> model = UperNetForSemanticSegmentation.from_pretrained("openmmlab/upernet-convnext-tiny") >>> filepath = hf_hub_download( ... repo_id="hf-internal-testing/fixtures_ade20k", filename="ADE_val_00000001.jpg", repo_type="dataset" ... ) >>> image = Image.open(filepath).convert("RGB") >>> inputs = image_processor(images=image, return_tensors="pt") >>> outputs = model(**inputs) >>> logits = outputs.logits # shape (batch_size, num_labels, height, width) >>> list(logits.shape) [1, 150, 512, 512] ```""" return_dict = return_dict if return_dict is not None else self.config.use_return_dict output_hidden_states = ( output_hidden_states if output_hidden_states is not None else self.config.output_hidden_states ) output_attentions = output_attentions if output_attentions is not None else self.config.output_attentions outputs = self.backbone.forward_with_filtered_kwargs( pixel_values, output_hidden_states=output_hidden_states, output_attentions=output_attentions ) features = outputs.feature_maps logits = self.decode_head(features) logits = nn.functional.interpolate(logits, size=pixel_values.shape[2:], mode="bilinear", align_corners=False) auxiliary_logits = None if self.auxiliary_head is not None: auxiliary_logits = self.auxiliary_head(features) auxiliary_logits = nn.functional.interpolate( auxiliary_logits, size=pixel_values.shape[2:], mode="bilinear", align_corners=False ) loss = None if labels is not None: if self.config.num_labels == 1: raise ValueError("The number of labels should be greater than one") else: # compute weighted loss loss_fct = CrossEntropyLoss(ignore_index=self.config.loss_ignore_index) main_loss = loss_fct(logits, labels) auxiliary_loss = loss_fct(auxiliary_logits, labels) loss = main_loss + self.config.auxiliary_loss_weight * auxiliary_loss if not return_dict: if output_hidden_states: output = (logits,) + outputs[1:] else: output = (logits,) + outputs[2:] return ((loss,) + output) if loss is not None else output return SemanticSegmenterOutput( loss=loss, logits=logits, hidden_states=outputs.hidden_states, attentions=outputs.attentions, )

[ "[email protected]" ]

[email protected]

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# pede três números e informa o maior deles # pede os números n1 = int(input('n1: ')) n2 = int(input('n2: ')) n3 = int(input('n3: ')) maior = n1 # verifica o maior número if n2 > n1 and n2 > n3: maior = n2 elif n3 > n1 and n3 > n2: maior = n3 else: print('Todos números são iguais') print(f'{maior} é o maior número.')

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# Daily Coding Problem #83 # Problem # This problem was asked by Google. # # Invert a binary tree. # # For example, given the following tree: # # a # / \ # b c # / \ / # d e f # should become: # # a # / \ # c b # \ / \ # f e d # Solution # Assuming we could invert the current node's left and right subtrees, all we'd need to do is then switch the left to now become right, and right to become left. The base case is when the node is None and we can just return None for that case. Then we know this works for the leaf node case since switching left and right subtrees doesn't do anything (since they're both None). def invert(node): if not node: return node left = invert(node.left) right = invert(node.right) node.left, node.right = right, left return node

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[email protected]

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a, b = map(int, input().split()) a = a if a > 1 else 14 b = b if b > 1 else 14 print("Alice" if a > b else "Bob" if a < b else "Draw")

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def nopalin(li): count = 0 for i in range(li[0], li[1]): if ispalin(str(i)): if ispalin(str(i**2)): count += 1 return count def ispalin(a): return a == a[::-1] infile = open('C-small-attempt0.in', 'r') outfile = open('ansfairsq_small.in', 'w') no = int(infile.readline()) for i in range(no): li = infile.readline().split() li[0] = int(li[0]) a = int(li[0]**.5) if a**2 == li[0]: li[0] = a else: li[0] = a+1 li[1] = int(int(li[1])**.5)+1 ans = nopalin(li) outfile.write(('Case #{0}: '+str(ans)+'\n').format(i+1)) infile.close() outfile.close()

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[email protected]

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# Copyright (c) 2021 AccelByte Inc. All Rights Reserved. # This is licensed software from AccelByte Inc, for limitations # and restrictions contact your company contract manager. # # Code generated. DO NOT EDIT! # template file: ags_py_codegen # AccelByte Gaming Services Seasonpass Service (1.19.0) # pylint: disable=duplicate-code # pylint: disable=line-too-long # pylint: disable=missing-function-docstring # pylint: disable=missing-module-docstring # pylint: disable=too-many-arguments # pylint: disable=too-many-branches # pylint: disable=too-many-instance-attributes # pylint: disable=too-many-lines # pylint: disable=too-many-locals # pylint: disable=too-many-public-methods # pylint: disable=too-many-return-statements # pylint: disable=too-many-statements # pylint: disable=unused-import from __future__ import annotations from typing import Any, Dict, List, Optional, Tuple, Union from ....core import Model class Tier(Model): """Tier (Tier) Properties: id_: (id) OPTIONAL str required_exp: (requiredExp) OPTIONAL int rewards: (rewards) OPTIONAL Dict[str, List[str]] """ # region fields id_: str # OPTIONAL required_exp: int # OPTIONAL rewards: Dict[str, List[str]] # OPTIONAL # endregion fields # region with_x methods def with_id(self, value: str) -> Tier: self.id_ = value return self def with_required_exp(self, value: int) -> Tier: self.required_exp = value return self def with_rewards(self, value: Dict[str, List[str]]) -> Tier: self.rewards = value return self # endregion with_x methods # region to methods def to_dict(self, include_empty: bool = False) -> dict: result: dict = {} if hasattr(self, "id_"): result["id"] = str(self.id_) elif include_empty: result["id"] = "" if hasattr(self, "required_exp"): result["requiredExp"] = int(self.required_exp) elif include_empty: result["requiredExp"] = 0 if hasattr(self, "rewards"): result["rewards"] = { str(k0): [str(i1) for i1 in v0] for k0, v0 in self.rewards.items() } elif include_empty: result["rewards"] = {} return result # endregion to methods # region static methods @classmethod def create( cls, id_: Optional[str] = None, required_exp: Optional[int] = None, rewards: Optional[Dict[str, List[str]]] = None, **kwargs, ) -> Tier: instance = cls() if id_ is not None: instance.id_ = id_ if required_exp is not None: instance.required_exp = required_exp if rewards is not None: instance.rewards = rewards return instance @classmethod def create_from_dict(cls, dict_: dict, include_empty: bool = False) -> Tier: instance = cls() if not dict_: return instance if "id" in dict_ and dict_["id"] is not None: instance.id_ = str(dict_["id"]) elif include_empty: instance.id_ = "" if "requiredExp" in dict_ and dict_["requiredExp"] is not None: instance.required_exp = int(dict_["requiredExp"]) elif include_empty: instance.required_exp = 0 if "rewards" in dict_ and dict_["rewards"] is not None: instance.rewards = { str(k0): [str(i1) for i1 in v0] for k0, v0 in dict_["rewards"].items() } elif include_empty: instance.rewards = {} return instance @classmethod def create_many_from_dict( cls, dict_: dict, include_empty: bool = False ) -> Dict[str, Tier]: return ( {k: cls.create_from_dict(v, include_empty=include_empty) for k, v in dict_} if dict_ else {} ) @classmethod def create_many_from_list( cls, list_: list, include_empty: bool = False ) -> List[Tier]: return ( [cls.create_from_dict(i, include_empty=include_empty) for i in list_] if list_ else [] ) @classmethod def create_from_any( cls, any_: any, include_empty: bool = False, many: bool = False ) -> Union[Tier, List[Tier], Dict[Any, Tier]]: if many: if isinstance(any_, dict): return cls.create_many_from_dict(any_, include_empty=include_empty) elif isinstance(any_, list): return cls.create_many_from_list(any_, include_empty=include_empty) else: raise ValueError() else: return cls.create_from_dict(any_, include_empty=include_empty) @staticmethod def get_field_info() -> Dict[str, str]: return { "id": "id_", "requiredExp": "required_exp", "rewards": "rewards", } @staticmethod def get_required_map() -> Dict[str, bool]: return { "id": False, "requiredExp": False, "rewards": False, } # endregion static methods

[ "[email protected]" ]

[email protected]

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from __future__ import generators import py from setupdata import setupdatadir from py.__.test.outcome import Skipped, Failed, Passed, Outcome def setup_module(mod): mod.datadir = setupdatadir() mod.tmpdir = py.test.ensuretemp('test_collect') def skipboxed(): if py.test.config.option.boxed: py.test.skip("test does not work with boxed tests") def test_failing_import_execfile(): dest = datadir / 'failingimport.py' col = py.test.collect.Module(dest) py.test.raises(ImportError, col.run) py.test.raises(ImportError, col.run) def test_collect_listnames_and_back(): col1 = py.test.collect.Directory(datadir.dirpath()) col2 = col1.join(datadir.basename) col3 = col2.join('filetest.py') l = col3.listnames() assert len(l) == 3 x = col1._getitembynames(l[1:]) assert x.name == "filetest.py" x = col1._getitembynames("/".join(l[1:])) assert x.name == "filetest.py" l2 = x.listnames() assert len(l2) == 3 def test_finds_tests(): fn = datadir / 'filetest.py' col = py.test.collect.Module(fn) l = col.run() assert len(l) == 2 assert l[0] == 'test_one' assert l[1] == 'TestClass' def test_found_certain_testfiles(): tmp = py.test.ensuretemp("found_certain_testfiles") tmp.ensure('test_found.py') tmp.ensure('found_test.py') colitem = py.test.collect.Directory(tmp) items = list(colitem._tryiter(py.test.collect.Module)) assert len(items) == 2 items = [item.name for item in items] assert 'test_found.py' in items assert 'found_test.py' in items def test_ignored_certain_directories(): tmp = py.test.ensuretemp("ignore_certain_directories") tmp.ensure("_darcs", 'test_notfound.py') tmp.ensure("CVS", 'test_notfound.py') tmp.ensure("{arch}", 'test_notfound.py') tmp.ensure(".whatever", 'test_notfound.py') tmp.ensure(".bzr", 'test_notfound.py') tmp.ensure("normal", 'test_found.py') tmp.ensure('test_found.py') colitem = py.test.collect.Directory(tmp) items = list(colitem._tryiter(py.test.collect.Module)) assert len(items) == 2 for item in items: assert item.name == 'test_found.py' def test_failing_import_directory(): class MyDirectory(py.test.collect.Directory): def filefilter(self, p): return p.check(fnmatch='testspecial*.py') mydir = MyDirectory(datadir) l = mydir.run() assert len(l) == 1 item = mydir.join(l[0]) assert isinstance(item, py.test.collect.Module) py.test.raises(ImportError, item.run) def test_module_file_not_found(): fn = datadir.join('nada','no') col = py.test.collect.Module(fn) py.test.raises(py.error.ENOENT, col.run) def test_syntax_error_in_module(): p = py.test.ensuretemp("syntaxerror1").join('syntax_error.py') p.write("\nthis is really not python\n") modpath = datadir.join('syntax_error.py') col = py.test.collect.Module(modpath) py.test.raises(SyntaxError, col.run) def test_disabled_class(): col = py.test.collect.Module(datadir.join('disabled.py')) l = col.run() assert len(l) == 1 colitem = col.join(l[0]) assert isinstance(colitem, py.test.collect.Class) assert not colitem.run() def test_disabled_module(): col = py.test.collect.Module(datadir.join('disabled_module.py')) l = col.run() assert len(l) == 0 class Testsomeclass: disabled = True def test_something(): raise ValueError #class TestWithCustomItem: # class Item(py.test.collect.Item): # flag = [] # def execute(self, target, *args): # self.flag.append(42) # target(*args) # # def test_hello(self): # assert self.Item.flag == [42] # def test_generative_simple(): o = tmpdir.ensure('generativetest', dir=1) tfile = o.join('test_generative.py') tfile.write(py.code.Source(""" from __future__ import generators # python2.2! def func1(arg, arg2): assert arg == arg2 def test_gen(): yield func1, 17, 3*5 yield func1, 42, 6*7 class TestGenMethods: def test_gen(self): yield func1, 17, 3*5 yield func1, 42, 6*7 """)) col = py.test.collect.Module(tfile) l = col.run() assert len(l) == 2 l = col.multijoin(l) generator = l[0] assert isinstance(generator, py.test.collect.Generator) l2 = generator.run() assert len(l2) == 2 l2 = generator.multijoin(l2) assert isinstance(l2[0], py.test.collect.Function) assert isinstance(l2[1], py.test.collect.Function) assert l2[0].name == '[0]' assert l2[1].name == '[1]' assert l2[0].obj.func_name == 'func1' classlist = l[1].run() assert len(classlist) == 1 classlist = l[1].multijoin(classlist) cls = classlist[0] generator = cls.join(cls.run()[0]) assert isinstance(generator, py.test.collect.Generator) l2 = generator.run() assert len(l2) == 2 l2 = generator.multijoin(l2) assert isinstance(l2[0], py.test.collect.Function) assert isinstance(l2[1], py.test.collect.Function) assert l2[0].name == '[0]' assert l2[1].name == '[1]' def test_custom_python_collection_from_conftest(): o = tmpdir.ensure('customconfigtest', dir=1) o.ensure('conftest.py').write("""if 1: import py class MyFunction(py.test.collect.Function): pass class Directory(py.test.collect.Directory): def filefilter(self, fspath): return fspath.check(basestarts='check_', ext='.py') class myfuncmixin: Function = MyFunction def funcnamefilter(self, name): return name.startswith('check_') class Module(myfuncmixin, py.test.collect.Module): def classnamefilter(self, name): return name.startswith('CustomTestClass') class Instance(myfuncmixin, py.test.collect.Instance): pass """) checkfile = o.ensure('somedir', 'check_something.py') checkfile.write("""if 1: def check_func(): assert 42 == 42 class CustomTestClass: def check_method(self): assert 23 == 23 """) for x in (o, checkfile, checkfile.dirpath()): config = py.test.config._reparse([x]) #print "checking that %s returns custom items" % (x,) col = config._getcollector(x) assert len(list(col._tryiter(py.test.collect.Item))) == 2 #assert items[1].__class__.__name__ == 'MyFunction' # test that running a session works from the directories old = o.chdir() try: config = py.test.config._reparse([]) out = py.std.cStringIO.StringIO() session = config._getsessionclass()(config, out) session.main() l = session.getitemoutcomepairs(Passed) assert len(l) == 2 finally: old.chdir() # test that running the file directly works config = py.test.config._reparse([str(checkfile)]) out = py.std.cStringIO.StringIO() session = config._getsessionclass()(config, out) session.main() l = session.getitemoutcomepairs(Passed) assert len(l) == 2 def test_custom_NONpython_collection_from_conftest(): o = tmpdir.ensure('customconfigtest_nonpython', dir=1) o.ensure('conftest.py').write("""if 1: import py class CustomItem(py.test.collect.Item): def run(self): pass class Directory(py.test.collect.Directory): def filefilter(self, fspath): return fspath.check(basestarts='check_', ext='.txt') def join(self, name): if not name.endswith('.txt'): return super(Directory, self).join(name) p = self.fspath.join(name) if p.check(file=1): return CustomItem(p, parent=self) """) checkfile = o.ensure('somedir', 'moredir', 'check_something.txt') for x in (o, checkfile, checkfile.dirpath()): print "checking that %s returns custom items" % (x,) config = py.test.config._reparse([x]) col = config._getcollector(x) assert len(list(col._tryiter(py.test.collect.Item))) == 1 #assert items[1].__class__.__name__ == 'MyFunction' # test that running a session works from the directories old = o.chdir() try: config = py.test.config._reparse([]) out = py.std.cStringIO.StringIO() session = config._getsessionclass()(config, out) session.main() l = session.getitemoutcomepairs(Passed) assert len(l) == 1 finally: old.chdir() # test that running the file directly works config = py.test.config._reparse([str(checkfile)]) out = py.std.cStringIO.StringIO() session = config._getsessionclass()(config, out) session.main() l = session.getitemoutcomepairs(Passed) assert len(l) == 1 def test_order_of_execution_generator_same_codeline(): o = tmpdir.ensure('genorder1', dir=1) o.join("test_order1.py").write(py.code.Source(""" def test_generative_order_of_execution(): test_list = [] expected_list = range(6) def list_append(item): test_list.append(item) def assert_order_of_execution(): print 'expected order', expected_list print 'but got ', test_list assert test_list == expected_list for i in expected_list: yield list_append, i yield assert_order_of_execution """)) config = py.test.config._reparse([o]) session = config.initsession() session.main() l = session.getitemoutcomepairs(Passed) assert len(l) == 7 def test_order_of_execution_generator_different_codeline(): o = tmpdir.ensure('genorder2', dir=2) o.join("test_genorder2.py").write(py.code.Source(""" def test_generative_tests_different_codeline(): test_list = [] expected_list = range(3) def list_append_2(): test_list.append(2) def list_append_1(): test_list.append(1) def list_append_0(): test_list.append(0) def assert_order_of_execution(): print 'expected order', expected_list print 'but got ', test_list assert test_list == expected_list yield list_append_0 yield list_append_1 yield list_append_2 yield assert_order_of_execution """)) config = py.test.config._reparse([o]) session = config.initsession() session.main() l = session.getitemoutcomepairs(Passed) assert len(l) == 4 def test_documentation_virtual_collector_interaction(): rootdir = py.path.local(py.__file__).dirpath("doc") # HACK from py.__.doc import conftest as conf old = conf.option.forcegen try: conf.option.forcegen = 1 col = py.test.collect.Directory(rootdir) x = list(col._tryiter(yieldtype=py.test.collect.Function)) finally: conf.option.forcegen = old def test__tryiter_ignores_skips(): tmp = py.test.ensuretemp("_tryiterskip") tmp.ensure("subdir", "conftest.py").write(py.code.Source(""" import py class Directory(py.test.collect.Directory): def run(self): py.test.skip("intentional") """)) col = py.test.collect.Directory(tmp) try: list(col._tryiter()) except KeyboardInterrupt: raise except: exc = py.code.ExceptionInfo() py.test.fail("should not have raised: %s" %(exc,)) def test__tryiter_ignores_failing_collectors(): tmp = py.test.ensuretemp("_tryiterfailing") tmp.ensure("subdir", "conftest.py").write(py.code.Source(""" bla bla bla """)) col = py.test.collect.Directory(tmp) try: list(col._tryiter()) except KeyboardInterrupt: raise except: exc = py.code.ExceptionInfo() py.test.fail("should not have raised: %s" %(exc,)) l = [] list(col._tryiter(reporterror=l.append)) assert len(l) == 2 excinfo, item = l[-1] assert isinstance(excinfo, py.code.ExceptionInfo) def test_tryiter_handles_keyboardinterrupt(): tmp = py.test.ensuretemp("tryiterkeyboard") tmp.ensure("subdir", "conftest.py").write(py.code.Source(""" raise KeyboardInterrupt() """)) col = py.test.collect.Directory(tmp) py.test.raises(KeyboardInterrupt, list, col._tryiter()) def test_check_random_inequality(): tmp = py.test.ensuretemp("ineq") tmp.ensure("test_x.py").write(py.code.Source("""def test_one(): pass """)) col = py.test.collect.Directory(tmp) fn = col._tryiter().next() assert fn != 3 assert fn != col assert fn != [1,2,3] assert [1,2,3] != fn assert col != fn def test_check_generator_collect_problems(): tmp = py.test.ensuretemp("gener_coll") tmp.ensure("test_one.py").write(py.code.Source(""" def setup_module(mod): mod.x = [1,2,3] def check(zzz): assert zzz def test_one(): for i in x: yield check, i """)) tmp.ensure("__init__.py") col = py.test.collect.Module(tmp.join("test_one.py")) errors = [] l = list(col._tryiter(reporterror=errors.append)) assert len(errors) == 2 def test_check_collect_hashes(): tmp = py.test.ensuretemp("check_collect_hashes") tmp.ensure("test_one.py").write(py.code.Source(""" def test_1(): pass def test_2(): pass """)) tmp.ensure("test_two.py").write(py.code.Source(""" def test_1(): pass def test_2(): pass """)) tmp.ensure("__init__.py") col = py.test.collect.Directory(tmp) l = list(col._tryiter()) assert len(l) == 4 for numi, i in enumerate(l): for numj, j in enumerate(l): if numj != numi: assert hash(i) != hash(j) assert i != j def test_check_directory_ordered(): tmpdir = py.test.ensuretemp("test_check_directory_ordered") fnames = [] for i in range(9, -1, -1): x = tmpdir.ensure("xdir%d" %(i, ), dir=1) fnames.append(x.basename) for i in range(9, -1, -1): x = tmpdir.ensure("test_file%d.py" % (i,)) fnames.append(x.basename) fnames.sort() tmpdir.ensure('adir', dir=1) fnames.insert(10, 'adir') col = py.test.collect.Directory(tmpdir) names = col.run() assert names == fnames

[ "[email protected]" ]

[email protected]

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import sys import numpy as np import scipy as sp import utils import qrc from scipy.special import softmax def solfmax_layer(states): states = np.array(states) return softmax(states) def linear_combine(u, states, coeffs): assert(len(coeffs) == len(states)) v = 1 - np.sum(coeffs) assert(v <= 1 and v >= 0) v = v * u for i in range(len(coeffs)): v += states[i] * coeffs[i] return v def softmax_linear_combine(u, states, coeffs): states = solfmax_layer(states) return linear_combine(u, states, coeffs) class DeepQuantumReservoirComputing(object): def __init_reservoir(self, qparams, nqrc, layer_strength): I = [[1,0],[0,1]] Z = [[1,0],[0,-1]] X = [[0,1],[1,0]] P0 = [[1,0],[0,0]] P1 = [[0,0],[0,1]] self.n_units = qparams.n_units self.trotter_step = qparams.trotter_step self.virtual_nodes = qparams.virtual_nodes self.tau_delta = qparams.tau_delta self.nqrc = nqrc self.qubit_count = self.n_units self.dim = 2**self.qubit_count self.Zop = [1]*self.qubit_count self.Xop = [1]*self.qubit_count self.P0op = [1] self.P1op = [1] self.layer_strength = layer_strength for cursor_index in range(self.qubit_count): for qubit_index in range(self.qubit_count): if cursor_index == qubit_index: self.Xop[qubit_index] = np.kron(self.Xop[qubit_index],X) self.Zop[qubit_index] = np.kron(self.Zop[qubit_index],Z) else: self.Xop[qubit_index] = np.kron(self.Xop[qubit_index],I) self.Zop[qubit_index] = np.kron(self.Zop[qubit_index],I) if cursor_index == 0: self.P0op = np.kron(self.P0op, P0) self.P1op = np.kron(self.P1op, P1) else: self.P0op = np.kron(self.P0op, I) self.P1op = np.kron(self.P1op, I) # initialize connection from layer i to layer (i+1) connections = [] for i in range(nqrc - 1): alpha = self.layer_strength if alpha < 0 or alpha > 1: alpha = np.random.rand() cs = np.random.rand(self.n_units * self.virtual_nodes) cs = alpha * cs / np.sum(cs) connections.append(cs) self.coeffs = connections # initialize current states self.current_states = [None] * nqrc # Intialize evolution operators tmp_uops = [] tmp_rhos = [] for i in range(nqrc): # initialize density matrix rho = np.zeros( [self.dim, self.dim] ) rho[0,0]=1 if qparams.init_rho != 0: # initialize random density matrix rho = gen_random.random_density_matrix(self.dim) tmp_rhos.append(rho) # generate hamiltonian hamiltonian = np.zeros( (self.dim,self.dim) ) # include input qubit for computation for qubit_index in range(self.qubit_count): coef = (np.random.rand()-0.5) * 2 * qparams.max_energy hamiltonian += coef * self.Zop[qubit_index] for qubit_index1 in range(self.qubit_count): for qubit_index2 in range(qubit_index1+1, self.qubit_count): coef = (np.random.rand()-0.5) * 2 * qparams.max_energy hamiltonian += coef * self.Xop[qubit_index1] @ self.Xop[qubit_index2] ratio = float(self.tau_delta) / float(self.virtual_nodes) Uop = sp.linalg.expm(1.j * hamiltonian * ratio) tmp_uops.append(Uop) self.init_rhos = tmp_rhos self.last_rhos = tmp_rhos self.Uops = tmp_uops def __feed_forward(self, input_sequence, predict=True, use_lastrho=False): input_dim, input_length = input_sequence.shape assert(input_dim == self.nqrc) dim = 2**self.qubit_count predict_sequence = None local_rhos = self.last_rhos nqrc = self.nqrc state_list = [] for time_step in range(0, input_length): for i in reversed(range(nqrc)): Uop = self.Uops[i] if use_lastrho == True : #print('Use last density matrix') rho = self.last_rhos[i] else: rho = self.init_rhos[i] # Obtain value from the input value = input_sequence[i, time_step] # Obtain values from previous layer if i > 0: previous_layer_states = self.current_states[i-1] if previous_layer_states is not None: value = softmax_linear_combine(value, previous_layer_states, self.coeffs[i-1]) # Replace the density matrix rho = self.P0op @ rho @ self.P0op + self.Xop[0] @ self.P1op @ rho @ self.P1op @ self.Xop[0] # (1 + u Z)/2 = (1+u)/2 |0><0| + (1-u)/2 |1><1| # for input in [-1, 1] # rho = (1+value)/2 * rho + (1-value)/2 *self.Xop[0] @ rho @ self.Xop[0] # for input in [0, 1] rho = (1 - value) * rho + value * self.Xop[0] @ rho @ self.Xop[0] current_state = [] for v in range(self.virtual_nodes): # Time evolution of density matrix rho = Uop @ rho @ Uop.T.conj() for qubit_index in range(0, self.qubit_count): expectation_value = np.real(np.trace(self.Zop[qubit_index] @ rho)) current_state.append(expectation_value) # Size of current_state is Nqubits x Nvirtuals self.current_states[i] = current_state local_rhos[i] = rho # only use state of the last qrc to train state = np.array(self.current_states[nqrc-1]) state_list.append(state) state_list = np.array(state_list) self.last_rhos = local_rhos if predict: stacked_state = np.hstack( [state_list, np.ones([input_length, 1])]) print('stacked state {}; Wout {}'.format(stacked_state.shape, self.W_out.shape)) predict_sequence = stacked_state @ self.W_out return predict_sequence, state_list def __train(self, input_sequence, output_sequence, buffer, beta): print('shape', input_sequence.shape, output_sequence.shape) assert(input_sequence.shape[1] == output_sequence.shape[0]) Nout = output_sequence.shape[1] self.W_out = np.random.rand(self.n_units * self.virtual_nodes + 1, Nout) _, state_list = self.__feed_forward(input_sequence, predict=False) state_list = np.array(state_list) print('before washingout state list shape', state_list.shape) state_list = state_list[buffer:, :] print('after washingout state list shape', state_list.shape) # discard the transitient state for training V = np.reshape(state_list, [-1, self.n_units * self.virtual_nodes]) V = np.hstack( [state_list, np.ones([V.shape[0], 1]) ] ) print('output seq', output_sequence.shape) discard_output = output_sequence[buffer:, :] print('discard output seq', discard_output.shape) #S = np.reshape(output_sequence_list, [-1]) S = np.reshape(discard_output, [discard_output.shape[0]*discard_output.shape[1], -1]) print('V S', V.shape, S.shape) self.W_out = np.linalg.pinv(V, rcond = beta) @ S print('bf Wout', self.W_out.shape) def train_to_predict(self, input_sequence, output_sequence, buffer, qparams, nqrc, layer_strength): self.__init_reservoir(qparams, nqrc, layer_strength) self.__train(input_sequence, output_sequence, buffer, qparams.beta) def predict(self, input_sequence, output_sequence, buffer, use_lastrho): prediction_sequence, _ = self.__feed_forward(input_sequence, \ predict=True, use_lastrho=use_lastrho) pred = prediction_sequence[buffer:, :] out = output_sequence[buffer:, :] loss = np.sum((pred - out)**2)/np.sum(pred**2) return prediction_sequence, loss def init_forward(self, qparams, input_seq, nqrc, layer_strength, init_rs): if init_rs == True: self.__init_reservoir(qparams, nqrc, layer_strength) _, state_list = self.__feed_forward(input_seq, predict=False) return state_list def get_loss(qrcparams, buffer, train_input_seq, train_output_seq, \ val_input_seq, val_output_seq, nqrc, layer_strength): model = DeepQuantumReservoirComputing() train_input_seq = np.array(train_input_seq) train_output_seq = np.array(train_output_seq) model.train_to_predict(train_input_seq, train_output_seq, buffer, qrcparams, nqrc, layer_strength) train_pred_seq, train_loss = model.predict(train_input_seq, train_output_seq, buffer=buffer, use_lastrho=False) #print("train_loss={}, shape".format(train_loss), train_pred_seq_ls.shape) # Test phase val_input_seq = np.array(val_input_seq) val_output_seq = np.array(val_output_seq) val_pred_seq, val_loss = model.predict(val_input_seq, val_output_seq, buffer=0, use_lastrho=True) #print("val_loss={}, shape".format(val_loss), val_pred_seq_ls.shape) return train_pred_seq, train_loss, val_pred_seq, val_loss

[ "[email protected]" ]

[email protected]

f36ba303596cbb747219a2c2e7f7ef047a3de25d

555c6ae723f2466673b7e6aeea11e7071461bfb3

/sakura/common/tools.py

66706081a63c70c046e108faf53597dc919d3359

[]

no_license

riteshms/sakura

788ade92cd0f65fb891a737d0113b807bf955a33

e8d2b4454c26ea80f6275a1bde293db38db73d30

refs/heads/master

2021-07-05T10:58:41.774892

2017-09-20T09:03:15

2017-09-22T14:53:19

null

0

null

UTF-8

Python

false

920

py

import sys, gevent class StdoutProxy(object): def __init__(self, stdout): self.stdout = stdout def write(self, s): self.stdout.write(s) self.stdout.flush() def __getattr__(self, attr): return getattr(self.stdout, attr) def set_unbuffered_stdout(): sys.stdout = StdoutProxy(sys.stdout) def wait_greenlets(*greenlets): gevent.joinall(greenlets, count=1) class SimpleAttrContainer: def __init__(self, **kwargs): for k, v in kwargs.items(): v = self.load_val(v) setattr(self, k, v) def load_val(self, v): if isinstance(v, dict): v = SimpleAttrContainer(**v) elif isinstance(v, tuple): v = tuple(self.load_val(v2) for v2 in v) elif isinstance(v, list): v = list(self.load_val(v2) for v2 in v) return v def _asdict(self): return self.__dict__.copy()

[ "[email protected]" ]

[email protected]

9ddee95515d2c6dfb8656282798aa121eb5100be

af62d7e773257ce7c6fb294590c1339e38c134e2

/iampacks/cross/mercadopago/views.py

9d8d80d127df578b3665c28b262e94353ad97708

[]

no_license

sebasgoldberg/iampacks

1e3355fc3a2818766bde0b0614883d1df8a1db76

887acb4ea83ff1c89a5b70383faa1f30a811d7e7

refs/heads/master

2021-01-10T04:09:57.226591

2019-02-14T15:02:16

52,726,621

3

0

null

UTF-8

Python

false

41

py

# coding=utf-8 # Create your views here.

[ "[email protected]" ]

[email protected]

209b79c613856a3a9efc9586a621842d4e69098e

f28591fab50d9b7a539c66b5a81fc91d1bc2ce64

/py3/def/uint16_bigendian_tobytes.py

718ccd6205a399b3b6fa9f1c5e6402ea7d33c9fa

[]

no_license

tnzw/tnzw.github.io

b8a5fe1f8479736bbf2b3594d511a1282939a3b3

6d95968db793cebcfa77cb49eecd987f821350db

refs/heads/master

2023-04-21T14:22:49.849859

2023-03-31T15:55:01

176,712,013

0

null

UTF-8

Python

false

504

py

# uint16_bigendian_tobytes.py Version 1.0.0 # Copyright (c) 2020 Tristan Cavelier <[email protected]> # This program is free software. It comes without any warranty, to # the extent permitted by applicable law. You can redistribute it # and/or modify it under the terms of the Do What The Fuck You Want # To Public License, Version 2, as published by Sam Hocevar. See # http://www.wtfpl.net/ for more details. def uint16_bigendian_tobytes(uint16): return bytes(((uint16 >> 8) & 0xFF, uint16 & 0xFF))

[ "[email protected]" ]

[email protected]

7b74cc681fdd50f712c42f1604cb790300fe0a4d

ef821468b081ef2a0b81bf08596a2c81e1c1ef1a

/PythonWebBasics_Django/petstagram/pets/urls.py

212f52bff8daa5f925d309e180d924a318f1cc1b

[]

no_license

Ivaylo-Atanasov93/The-Learning-Process

71db22cd79f6d961b9852f140f4285ef7820dd80

354844e2c686335345f6a54b3af86b78541ed3f3

refs/heads/master

2023-03-30T20:59:34.304207

2021-03-29T15:23:05

294,181,544

0

null

UTF-8

Python

false

276

py

from django.urls import path from pets.views import pets_list, show_pet_details, like_pet urlpatterns = [ path('', pets_list, name='list pets'), path('details/<int:pk>/', show_pet_details, name='pet details'), path('like/<int:pk>/', like_pet, name='like pet'), ]

[ "[email protected]" ]

[email protected]

9bea5e1eada06fa70192f113563e4516d9e6a21e

dd097c7ae744227b0312d762ee0482a3380ff8c6

/makenei_from_ele_xyz.py

5af3305f3e285e46149ab1da568e6c0ac15fdcba

[]

no_license

moflaher/workspace_python

0d6e98274d923a721db2b345f65c20b02ca59d08

6551e3602ead3373eafce10d11ce7b96bdcb106f

refs/heads/master

2023-03-06T02:15:01.945481

2023-03-01T19:15:51

20,814,932

3

4

null

UTF-8

Python

false

1,260

py

from __future__ import division,print_function import numpy as np import matplotlib as mpl import scipy as sp from datatools import * import matplotlib.tri as mplt import matplotlib.pyplot as plt #from mpl_toolkits.basemap import Basemap import os as os name='kit4' xyz=np.genfromtxt(name + '.xyz') ele=np.genfromtxt(name + '.ele') if 1==0: maxnei=np.histogram(ele,bins=ele.max()-1)[0].max() nnodes=xyz.shape[0] noderange=np.arange(1,nnodes+1) xmin=xyz[:,0].min() xmax=xyz[:,0].max() ymin=xyz[:,1].min() ymax=xyz[:,1].max() neighbourlist=np.zeros([xyz.shape[0],maxnei]) for i in range(1,xyz.shape[0]+1): print i idx=np.where(ele==i)[0] tneilist=np.unique(ele[idx,:]) tneilist=tneilist[tneilist!=i] neighbourlist[i-1,0:len(tneilist)]=tneilist fp=open(name + '.nei','w') fp.write('%d\n' % nnodes) fp.write('%d\n' % maxnei) fp.write('%f %f %f %f\n' % (xmax, ymin, xmin, ymax)) for i in range(0,nnodes): fp.write('%d %f %f %d %f %u %u %u %u %u %u %u %u\n' % (i+1, xyz[i,0], xyz[i,1], 0 ,xyz[i,2],neighbourlist[i,0],neighbourlist[i,1],neighbourlist[i,2],neighbourlist[i,3],neighbourlist[i,4],neighbourlist[i,5],neighbourlist[i,6],neighbourlist[i,7]) ) fp.close()

[ "[email protected]" ]

[email protected]

b0b14da84042b9971c28982f9d77f519829a1047

aa1352a2f32c0c36194d3a6f8e683adba487a3eb

/FiRoom_backend/users/urls.py

461aad0c0a56efdbc04145b7094f3c83cd7a2a12

[]

no_license

Ace-bb/FiRoom_backend

6c98d01c40e8de31ccbe86beaeada6c62516705e

efd4d9c1d7265e42f56638d5374a569a146acc03

refs/heads/main

2023-03-30T15:48:21.376390

2021-03-23T15:53:48

338,780,869

0

null

UTF-8

Python

false

143

py

from django.urls import path from . import views urlpatterns = [ path('masterIdentify/uploadCertification', views.uploadCertification), ]

[ "[email protected]" ]

[email protected]

c4006da28b8476755c3f41bf5a0fcdea5757ca98

c50e7eb190802d7849c0d0cea02fb4d2f0021777

/src/azure-firewall/azext_firewall/vendored_sdks/v2020_07_01/v2020_07_01/aio/operations/_express_route_connections_operations.py

a0bfb04f1caa8c809a50e9e6dd906b6a5def7b1f

[ "LicenseRef-scancode-generic-cla", "MIT" ]

permissive

Azure/azure-cli-extensions

c1615b19930bba7166c282918f166cd40ff6609c

b8c2cf97e991adf0c0a207d810316b8f4686dc29

refs/heads/main

2023-08-24T12:40:15.528432

2023-08-24T09:17:25

106,580,024

336

1,226

MIT

2023-09-14T10:48:57

2017-10-11T16:27:31

Python

UTF-8

Python

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21,558

py

# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is regenerated. # -------------------------------------------------------------------------- from typing import Any, Callable, Dict, Generic, Optional, TypeVar, Union import warnings from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error from azure.core.pipeline import PipelineResponse from azure.core.pipeline.transport import AsyncHttpResponse, HttpRequest from azure.core.polling import AsyncLROPoller, AsyncNoPolling, AsyncPollingMethod from azure.mgmt.core.exceptions import ARMErrorFormat from azure.mgmt.core.polling.async_arm_polling import AsyncARMPolling from ... import models as _models T = TypeVar('T') ClsType = Optional[Callable[[PipelineResponse[HttpRequest, AsyncHttpResponse], T, Dict[str, Any]], Any]] class ExpressRouteConnectionsOperations: """ExpressRouteConnectionsOperations async operations. You should not instantiate this class directly. Instead, you should create a Client instance that instantiates it for you and attaches it as an attribute. :ivar models: Alias to model classes used in this operation group. :type models: ~azure.mgmt.network.v2020_07_01.models :param client: Client for service requests. :param config: Configuration of service client. :param serializer: An object model serializer. :param deserializer: An object model deserializer. """ models = _models def __init__(self, client, config, serializer, deserializer) -> None: self._client = client self._serialize = serializer self._deserialize = deserializer self._config = config async def _create_or_update_initial( self, resource_group_name: str, express_route_gateway_name: str, connection_name: str, put_express_route_connection_parameters: "_models.ExpressRouteConnection", **kwargs ) -> "_models.ExpressRouteConnection": cls = kwargs.pop('cls', None) # type: ClsType["_models.ExpressRouteConnection"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2020-07-01" content_type = kwargs.pop("content_type", "application/json") accept = "application/json" # Construct URL url = self._create_or_update_initial.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'expressRouteGatewayName': self._serialize.url("express_route_gateway_name", express_route_gateway_name, 'str'), 'connectionName': self._serialize.url("connection_name", connection_name, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str') header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') body_content_kwargs = {} # type: Dict[str, Any] body_content = self._serialize.body(put_express_route_connection_parameters, 'ExpressRouteConnection') body_content_kwargs['content'] = body_content request = self._client.put(url, query_parameters, header_parameters, **body_content_kwargs) pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200, 201]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) if response.status_code == 200: deserialized = self._deserialize('ExpressRouteConnection', pipeline_response) if response.status_code == 201: deserialized = self._deserialize('ExpressRouteConnection', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized _create_or_update_initial.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Network/expressRouteGateways/{expressRouteGatewayName}/expressRouteConnections/{connectionName}'} # type: ignore async def begin_create_or_update( self, resource_group_name: str, express_route_gateway_name: str, connection_name: str, put_express_route_connection_parameters: "_models.ExpressRouteConnection", **kwargs ) -> AsyncLROPoller["_models.ExpressRouteConnection"]: """Creates a connection between an ExpressRoute gateway and an ExpressRoute circuit. :param resource_group_name: The name of the resource group. :type resource_group_name: str :param express_route_gateway_name: The name of the ExpressRoute gateway. :type express_route_gateway_name: str :param connection_name: The name of the connection subresource. :type connection_name: str :param put_express_route_connection_parameters: Parameters required in an ExpressRouteConnection PUT operation. :type put_express_route_connection_parameters: ~azure.mgmt.network.v2020_07_01.models.ExpressRouteConnection :keyword callable cls: A custom type or function that will be passed the direct response :keyword str continuation_token: A continuation token to restart a poller from a saved state. :keyword polling: True for ARMPolling, False for no polling, or a polling object for personal polling strategy :paramtype polling: bool or ~azure.core.polling.AsyncPollingMethod :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present. :return: An instance of AsyncLROPoller that returns either ExpressRouteConnection or the result of cls(response) :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.network.v2020_07_01.models.ExpressRouteConnection] :raises ~azure.core.exceptions.HttpResponseError: """ polling = kwargs.pop('polling', True) # type: Union[bool, AsyncPollingMethod] cls = kwargs.pop('cls', None) # type: ClsType["_models.ExpressRouteConnection"] lro_delay = kwargs.pop( 'polling_interval', self._config.polling_interval ) cont_token = kwargs.pop('continuation_token', None) # type: Optional[str] if cont_token is None: raw_result = await self._create_or_update_initial( resource_group_name=resource_group_name, express_route_gateway_name=express_route_gateway_name, connection_name=connection_name, put_express_route_connection_parameters=put_express_route_connection_parameters, cls=lambda x,y,z: x, **kwargs ) kwargs.pop('error_map', None) kwargs.pop('content_type', None) def get_long_running_output(pipeline_response): deserialized = self._deserialize('ExpressRouteConnection', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'expressRouteGatewayName': self._serialize.url("express_route_gateway_name", express_route_gateway_name, 'str'), 'connectionName': self._serialize.url("connection_name", connection_name, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } if polling is True: polling_method = AsyncARMPolling(lro_delay, lro_options={'final-state-via': 'azure-async-operation'}, path_format_arguments=path_format_arguments, **kwargs) elif polling is False: polling_method = AsyncNoPolling() else: polling_method = polling if cont_token: return AsyncLROPoller.from_continuation_token( polling_method=polling_method, continuation_token=cont_token, client=self._client, deserialization_callback=get_long_running_output ) else: return AsyncLROPoller(self._client, raw_result, get_long_running_output, polling_method) begin_create_or_update.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Network/expressRouteGateways/{expressRouteGatewayName}/expressRouteConnections/{connectionName}'} # type: ignore async def get( self, resource_group_name: str, express_route_gateway_name: str, connection_name: str, **kwargs ) -> "_models.ExpressRouteConnection": """Gets the specified ExpressRouteConnection. :param resource_group_name: The name of the resource group. :type resource_group_name: str :param express_route_gateway_name: The name of the ExpressRoute gateway. :type express_route_gateway_name: str :param connection_name: The name of the ExpressRoute connection. :type connection_name: str :keyword callable cls: A custom type or function that will be passed the direct response :return: ExpressRouteConnection, or the result of cls(response) :rtype: ~azure.mgmt.network.v2020_07_01.models.ExpressRouteConnection :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.ExpressRouteConnection"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2020-07-01" accept = "application/json" # Construct URL url = self.get.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'expressRouteGatewayName': self._serialize.url("express_route_gateway_name", express_route_gateway_name, 'str'), 'connectionName': self._serialize.url("connection_name", connection_name, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.get(url, query_parameters, header_parameters) pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) deserialized = self._deserialize('ExpressRouteConnection', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized get.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Network/expressRouteGateways/{expressRouteGatewayName}/expressRouteConnections/{connectionName}'} # type: ignore async def _delete_initial( self, resource_group_name: str, express_route_gateway_name: str, connection_name: str, **kwargs ) -> None: cls = kwargs.pop('cls', None) # type: ClsType[None] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2020-07-01" accept = "application/json" # Construct URL url = self._delete_initial.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'expressRouteGatewayName': self._serialize.url("express_route_gateway_name", express_route_gateway_name, 'str'), 'connectionName': self._serialize.url("connection_name", connection_name, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.delete(url, query_parameters, header_parameters) pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200, 202, 204]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) if cls: return cls(pipeline_response, None, {}) _delete_initial.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Network/expressRouteGateways/{expressRouteGatewayName}/expressRouteConnections/{connectionName}'} # type: ignore async def begin_delete( self, resource_group_name: str, express_route_gateway_name: str, connection_name: str, **kwargs ) -> AsyncLROPoller[None]: """Deletes a connection to a ExpressRoute circuit. :param resource_group_name: The name of the resource group. :type resource_group_name: str :param express_route_gateway_name: The name of the ExpressRoute gateway. :type express_route_gateway_name: str :param connection_name: The name of the connection subresource. :type connection_name: str :keyword callable cls: A custom type or function that will be passed the direct response :keyword str continuation_token: A continuation token to restart a poller from a saved state. :keyword polling: True for ARMPolling, False for no polling, or a polling object for personal polling strategy :paramtype polling: bool or ~azure.core.polling.AsyncPollingMethod :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present. :return: An instance of AsyncLROPoller that returns either None or the result of cls(response) :rtype: ~azure.core.polling.AsyncLROPoller[None] :raises ~azure.core.exceptions.HttpResponseError: """ polling = kwargs.pop('polling', True) # type: Union[bool, AsyncPollingMethod] cls = kwargs.pop('cls', None) # type: ClsType[None] lro_delay = kwargs.pop( 'polling_interval', self._config.polling_interval ) cont_token = kwargs.pop('continuation_token', None) # type: Optional[str] if cont_token is None: raw_result = await self._delete_initial( resource_group_name=resource_group_name, express_route_gateway_name=express_route_gateway_name, connection_name=connection_name, cls=lambda x,y,z: x, **kwargs ) kwargs.pop('error_map', None) kwargs.pop('content_type', None) def get_long_running_output(pipeline_response): if cls: return cls(pipeline_response, None, {}) path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'expressRouteGatewayName': self._serialize.url("express_route_gateway_name", express_route_gateway_name, 'str'), 'connectionName': self._serialize.url("connection_name", connection_name, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } if polling is True: polling_method = AsyncARMPolling(lro_delay, lro_options={'final-state-via': 'location'}, path_format_arguments=path_format_arguments, **kwargs) elif polling is False: polling_method = AsyncNoPolling() else: polling_method = polling if cont_token: return AsyncLROPoller.from_continuation_token( polling_method=polling_method, continuation_token=cont_token, client=self._client, deserialization_callback=get_long_running_output ) else: return AsyncLROPoller(self._client, raw_result, get_long_running_output, polling_method) begin_delete.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Network/expressRouteGateways/{expressRouteGatewayName}/expressRouteConnections/{connectionName}'} # type: ignore async def list( self, resource_group_name: str, express_route_gateway_name: str, **kwargs ) -> "_models.ExpressRouteConnectionList": """Lists ExpressRouteConnections. :param resource_group_name: The name of the resource group. :type resource_group_name: str :param express_route_gateway_name: The name of the ExpressRoute gateway. :type express_route_gateway_name: str :keyword callable cls: A custom type or function that will be passed the direct response :return: ExpressRouteConnectionList, or the result of cls(response) :rtype: ~azure.mgmt.network.v2020_07_01.models.ExpressRouteConnectionList :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["_models.ExpressRouteConnectionList"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2020-07-01" accept = "application/json" # Construct URL url = self.list.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'expressRouteGatewayName': self._serialize.url("express_route_gateway_name", express_route_gateway_name, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.get(url, query_parameters, header_parameters) pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) deserialized = self._deserialize('ExpressRouteConnectionList', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized list.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Network/expressRouteGateways/{expressRouteGatewayName}/expressRouteConnections'} # type: ignore

[ "[email protected]" ]

[email protected]

c0118ad0e0f29fc84614d3d9782b2b74eeeff8b8

7ee1fd7584f8770cd2381d85f797bf85cb9b4b67

/usuarios/applications/users/migrations/0002_auto_20200318_0722.py

a428a6912352c1390b859456cca63c55c637915a

[]

no_license

neunapp/usuariosdj

3171160fdf6898d07d6b353d034c70801e4bc21b

3fe69b7357757baa5d799b614f232d75ed659502

refs/heads/master

2022-12-01T16:51:00.432272

2020-09-17T14:28:21

237,993,639

4

2

null

2022-11-22T05:17:26

2020-02-03T15:10:33

Python

UTF-8

Python

false

550

py

# Generated by Django 3.0.3 on 2020-03-18 07:22 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('users', '0001_initial'), ] operations = [ migrations.AlterField( model_name='user', name='apellidos', field=models.CharField(blank=True, max_length=30), ), migrations.AlterField( model_name='user', name='nombres', field=models.CharField(blank=True, max_length=30), ), ]

[ "[email protected]" ]

[email protected]

c2108381f0aa3dc54ea2812312d80e98117659a0

5574620c834f96d4baf50d6aa349242dae7c17af

/126.word-ladder-ii.py

1ab52f8b88f5662f72456dcd442d5aab3fe52358

[]

no_license

Ming-H/leetcode

52dceba5f9a605afbdaa65e286a37205873e21bb

057cee4b830603ac12976ed7d5cea8d06a9b46a0

refs/heads/main

2023-09-02T21:30:48.796395

2023-09-01T01:59:48

489,290,172

1

0

null

UTF-8

Python

false

959

py

# # @lc app=leetcode id=126 lang=python3 # # [126] Word Ladder II # import collections import string class Solution: #def findLadders(self, beginWord: str, endWord: str, wordList: List[str]) -> List[List[str]]: def findLadders(self, start, end, dic): dic.add(end) level = {start} parents = collections.defaultdict(set) while level and end not in parents: next_level = collections.defaultdict(set) for node in level: for char in string.ascii_lowercase: for i in range(len(start)): n = node[:i]+char+node[i+1:] if n in dic and n not in parents: next_level[n].add(node) level = next_level parents.update(next_level) res = [[end]] while res and res[0][0] != start: res = [[p]+r for r in res for p in parents[r[0]]] return res

[ "[email protected]" ]

[email protected]

7e749d9cfdf6b6af07e6c5e6d4938e412ae0aeb3

d26aebefdc6358f63e050f7712589e9fd9f4a258

/cat_api_proj/settings.py

02f54b418b70047175a1723d0eec397f4420c924

[]

no_license

matthewgstillman/Cats_API

e93c7319a26c6bb06ed1be211e8f588edc4dc871

c0918930d663527535e35d02c5c7ac098dbf6aa4

refs/heads/master

2020-03-29T20:47:06.514147

2018-09-25T21:17:48

150,330,437

0

null

UTF-8

Python

false

3,132

py

""" Django settings for cat_api_proj project. Generated by 'django-admin startproject' using Django 1.10. For more information on this file, see https://docs.djangoproject.com/en/1.10/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.10/ref/settings/ """ import os # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/1.10/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = '^xbh+%sdv@pz=-$3#roy0^a!k(rfx$nfxr--v@(uui#jw^h8@&' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = [] # Application definition INSTALLED_APPS = [ 'apps.cat_api', 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'cat_api_proj.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'cat_api_proj.wsgi.application' # Database # https://docs.djangoproject.com/en/1.10/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), } } # Password validation # https://docs.djangoproject.com/en/1.10/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/1.10/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/1.10/howto/static-files/ STATIC_URL = '/static/'

[ "[email protected]" ]

[email protected]

7e9302d32787862d768a2e2a3a7eeea66f8a542c

fc2fb2118ea02867d559bf8027e54e3c6b652cfd

/devItems/spring-2020/SEEAccuracyImprove/jirasoftware/step1_vectorize_text.py

80e2c2b832ef7448c32e352447bb35267dbcc71c

[]

no_license

pdhung3012/SoftwareStoryPointsPrediction

2431ad599e0fba37617cfd467de1f4f1afed56cc

520990663cb42adcac315b75cd4eb1150c3fc86c

refs/heads/master

2023-08-29T15:16:30.413766

2021-09-18T17:12:20

254,596,878

0

null

UTF-8

Python

false

6,611

py

from sklearn.feature_extraction.text import TfidfVectorizer import pandas as pd from nltk.tokenize import word_tokenize import os import numpy as np import gensim from sklearn.decomposition import PCA from sklearn.random_projection import GaussianRandomProjection nameSystem='jirasoftware' fopVectorAllSystems='vector_tfidf_original_'+nameSystem+'/' # fopTextPreprocess='te'+nameSystem+'/' fopDataset='../../dataset/' import stanza def addDependenciesToSentence(docObj): lstSentences=docObj.sentences lstOutput=[] for sen in lstSentences: depends=sen._dependencies lstDepInfo=[] # depends=dict(depends) for deKey in depends: strElement=' '.join([deKey[2].text,deKey[0].text,deKey[1]]) lstDepInfo.append(strElement) strDep=' '.join(lstDepInfo) lstOutput.append((strDep)) strResult=' '.join(lstOutput) return strResult def addDependenciesToSentenceCompact(docObj): lstSentences=docObj.sentences lstOutput=[] for sen in lstSentences: depends=sen._dependencies lstDepInfo=[] # depends=dict(depends) for deKey in depends: strElement=' '.join([deKey[1]]) lstDepInfo.append(strElement) strDep=' '.join(lstDepInfo) lstOutput.append((strDep)) strResult=' '.join(lstOutput) return strResult def addDependenciesToSentencePOS(docObj): lstSentences=docObj.sentences lstOutput=[] for sen in lstSentences: words=sen._words lstDepInfo=[] # depends=dict(depends) for w in words: strElement=' '.join([w.upos]) lstDepInfo.append(strElement) strDep=' '.join(lstDepInfo) lstOutput.append((strDep)) strResult=' '.join(lstOutput) return strResult def preprocess(textInLine): text = textInLine.lower() doc = word_tokenize(text) # doc = [word for word in doc if word in words] # doc = [word for word in doc if word.isalpha()] return ' '.join(doc) def createDirIfNotExist(fopOutput): try: # Create target Directory os.mkdir(fopOutput) print("Directory ", fopOutput, " Created ") except FileExistsError: print("Directory ", fopOutput, " already exists") from os import listdir from os.path import isfile, join arrFiles = [f for f in listdir(fopDataset) if isfile(join(fopDataset, f))] createDirIfNotExist(fopVectorAllSystems) # createDirIfNotExist(fopTextPreprocess) nlp = stanza.Pipeline() # This sets up a default neural pipeline in English for file in arrFiles: # if not file.endswith('csv'): # continue if not file.endswith(nameSystem+'.csv'): continue fileCsv = fopDataset + file fpVectorItemCate=fopVectorAllSystems+file.replace('.csv','')+'_category.csv' fpVectorItemReg = fopVectorAllSystems + file.replace('.csv','') + '_regression.csv' fpTextInfo = fopVectorAllSystems + file.replace('.csv', '') + '_textInfo.csv' raw_data = pd.read_csv(fileCsv) raw_data_2 = pd.read_csv(fileCsv) columnId=raw_data['issuekey'] columnRegStory=raw_data_2['storypoint'] raw_data.loc[raw_data.storypoint <= 2, 'storypoint'] = 0 # small raw_data.loc[(raw_data.storypoint > 2) & (raw_data.storypoint <= 8), 'storypoint'] = 1 # medium raw_data.loc[(raw_data.storypoint > 8) & (raw_data.storypoint <= 15), 'storypoint'] = 2 # large raw_data.loc[raw_data.storypoint > 15, 'storypoint'] = 3 # very large columnCateStory = raw_data['storypoint'] titles_and_descriptions = [] for i in range(0, len(raw_data['description'])): strContent = ' '.join([str(raw_data['title'][i]),' . ', str(raw_data['description'][i])]) titles_and_descriptions.append(str(strContent)) text_after_tokenize = [] listDependences=[] index=0 for lineStr in titles_and_descriptions: lineAppend = preprocess(lineStr) strToAdd = lineAppend # try: # doc = nlp(lineStr) # strDepend = addDependenciesToSentencePOS(doc) # strToAdd = ' '.join([lineAppend, strDepend]) # # strToAdd = ' '.join([strDepend]) # except: # print('{} error on issue {}'.format(index,columnId[index])) text_after_tokenize.append(strToAdd) index=index+1 columnTitleRow='no,text\n' csv = open(fpTextInfo, 'w') csv.write(columnTitleRow) for i in range(0, len(text_after_tokenize)): strItem=text_after_tokenize[i].replace(',',' ') csv.write(','.join([str(i+1),strItem])) if(i<(len(text_after_tokenize)-1)): csv.write('\n') csv.close() # get vector using TF-IDF vectorizer = TfidfVectorizer(ngram_range=(1, 4)) X = vectorizer.fit_transform(text_after_tokenize) X = X.toarray() # X = PCA().fit(X) pca = PCA(n_components=100) X = pca.fit_transform(X) # srp=GaussianRandomProjection(n_components=3) # X=srp.fit_transform(X) print('end vectorize') lenVectorOfWord = len(X[0]) columnTitleRow = "no,story," for i in range(0,lenVectorOfWord): item='feature-'+str(i+1) columnTitleRow = ''.join([columnTitleRow, item]) if i!=lenVectorOfWord-1: columnTitleRow = ''.join([columnTitleRow, ","]) columnTitleRow = ''.join([columnTitleRow, "\n"]) csv = open(fpVectorItemCate, 'w') csv.write(columnTitleRow) csv2 = open(fpVectorItemReg, 'w') csv2.write(columnTitleRow) corpusVector = [] for i in range(0,len(text_after_tokenize)): # arrTokens = word_tokenize(str(text_after_tokenize[i])) # if not has_vector_representation(dictWordVectors, str(text_after_tokenize[i])): # continue # # arrTokens = word_tokenize(str(text_after_tokenize[i])) vector= X[i] corpusVector.append(vector) # strVector=','.join(vector) strCate=str(columnCateStory[i]) strReg=str(columnRegStory[i]) # strRow=''.join([str(i+1),',','S-'+str(columnStoryPoints[i]),]) # strRow = ''.join([str(i + 1), ',', 'S-' + strCate, ]) strRow = ''.join([str(i + 1), ',', '' + strCate, ]) strRow2 = ''.join([str(i + 1), ',', '' + strReg, ]) for j in range(0,lenVectorOfWord): strRow=''.join([strRow,',',str(vector[j])]) strRow2 = ''.join([strRow2, ',', str(vector[j])]) strRow = ''.join([strRow, '\n']) strRow2 = ''.join([strRow2, '\n']) csv.write(strRow) csv2.write(strRow2) csv.close() csv2.close() print('Finish {}'.format(file))

[ "[email protected]" ]

[email protected]

f4d523bf8b922bf42041001ffdc30993d9ab3efc

d6780d2a5126bff23d0a46c7376f5085063a3a4e

/backend/chat/api/v1/viewsets.py

211c8f530ed018dec88234b4bfad728e6cf050ca

[]

no_license

crowdbotics-apps/test-25190

2721890ce00a97b8168e1188fe5d96ff86e1b6e4

48ce90fb307e5d98963a73e8c07a9a631b370f59

refs/heads/master

2023-03-24T23:43:59.659900

2021-03-22T15:53:21

350,400,795

0

null

UTF-8

Python

false

1,983

py

from rest_framework import authentication from chat.models import ( Message, ThreadMember, MessageAction, ThreadAction, ForwardedMessage, Thread, ) from .serializers import ( MessageSerializer, ThreadMemberSerializer, MessageActionSerializer, ThreadActionSerializer, ForwardedMessageSerializer, ThreadSerializer, ) from rest_framework import viewsets class MessageActionViewSet(viewsets.ModelViewSet): serializer_class = MessageActionSerializer authentication_classes = ( authentication.SessionAuthentication, authentication.TokenAuthentication, ) queryset = MessageAction.objects.all() class ForwardedMessageViewSet(viewsets.ModelViewSet): serializer_class = ForwardedMessageSerializer authentication_classes = ( authentication.SessionAuthentication, authentication.TokenAuthentication, ) queryset = ForwardedMessage.objects.all() class ThreadActionViewSet(viewsets.ModelViewSet): serializer_class = ThreadActionSerializer authentication_classes = ( authentication.SessionAuthentication, authentication.TokenAuthentication, ) queryset = ThreadAction.objects.all() class ThreadViewSet(viewsets.ModelViewSet): serializer_class = ThreadSerializer authentication_classes = ( authentication.SessionAuthentication, authentication.TokenAuthentication, ) queryset = Thread.objects.all() class ThreadMemberViewSet(viewsets.ModelViewSet): serializer_class = ThreadMemberSerializer authentication_classes = ( authentication.SessionAuthentication, authentication.TokenAuthentication, ) queryset = ThreadMember.objects.all() class MessageViewSet(viewsets.ModelViewSet): serializer_class = MessageSerializer authentication_classes = ( authentication.SessionAuthentication, authentication.TokenAuthentication, ) queryset = Message.objects.all()

[ "[email protected]" ]

[email protected]

748188ed28fde4abc2b26a91c727a0d58176ac3f

163bbb4e0920dedd5941e3edfb2d8706ba75627d

/Code/CodeRecords/2484/60691/284691.py

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AdamZhouSE/pythonHomework

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ffc5606817a666aa6241cfab27364326f5c066ff

refs/heads/master

2022-11-24T08:05:22.122011

2020-07-28T16:21:24

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def union(s1, s2): l = s1.split(' ') l1 = s2.split(' ') if l1 == ['']: return len(l) for i in range(len(l1)): if (not l1[i] in l) and (l1[i] != ' '): l.append(l1[i]) print(l) return len(l) n = int(input()) useless = [] arra = [] arrb = [] for i in range(n): useless.append(input()) arra.append(input()) arrb.append(input()) for i in range(n): print(union(arra[i], arrb[i]))

[ "[email protected]" ]

[email protected]

4f53fca6de83c3e1a1350e96ab8c05885220e402

a5fabc6d6341925b587fecb082dc70c0d1b95619

/py_FPA/FPA_Fil.py

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illuminous/pythonScripts

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refs/heads/master

2022-10-22T09:35:48.088907

2022-09-28T22:35:32

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import glob, arcgisscripting import os # Create the Geoprocessor object gp = arcgisscripting.create() gp.CheckOutExtension("spatial") gp.AddToolBox gp.toolbox = "management" zones = ['RM_WY']#'EA_IL', 'EA_IN', 'NW_WA', 'SA_PR','NR_MT','CA_CA', 'EA_IA', 'EA_MI', 'EA_MN', 'EA_MO', 'EA_NH', 'EA_NJ', 'EA_OH', 'EA_PA', 'EA_WI', 'EA_WV', 'GB_ID', 'GB_NV', 'GB_UT', 'GB_WY', 'NR_ID','NR_MT', 'NR_ND', 'NW_OR', 'MW_WA', 'RM_CO', 'RM_KS', 'RM_NE', 'RM_SD', 'RM_WY', 'SA_AL', 'SA_AR', 'SA_FL', 'SA_GA', 'SA_KY', 'SA_LA', 'SA_MD','SA_MS', 'SA_NC', 'SA_OK', 'SA_SC', 'SA_TN', 'SA_TX', 'SA_VA', 'SW_AZ', 'SW_NM', 'SW_TX'] #these are FPUs names = ['_003']#'_001', '_002', '_003', '_004', '_005', '_006', '_007', '_008', '_009', '_010', '_011', '_012', '_013', '_014', '_015'] oldnames = ['_STANDARD0_burnprob.asc_FLP.txt', '_STANDARD0_burnprob.asc', '_STANDARD0_burnprob.asc_MeanIntensity.asc', '_STANDARD0_burnprob.asc_FireSizeList.txt', '_TREATMENTS0_burnprob.asc', '_TREATMENTS0_burnprob.asc_FireSizeList.txt', '_TREATMENTS0_burnprob.asc_FLP.txt', '_TREATMENTS0_burnprob.asc_MeanIntensity.asc'] #directory = 'C:\\Working\FPA\extracted\\simresults\\test' ###------------------------------------------------------------------------------------------- ###First Section: Rename the FPA files into a consistent format ##for zone in zones: ## for name in names: ## for oldname in oldnames: ## oldfilename = 'C:\\Working\FPA\extracted\\simresults\\%s%s%s' %(zone, name, oldname) ## newnames = dict() ## newnames['_STANDARD0_burnprob.asc'] = '%s%s_SB.asc' %(zone, name) ## newnames['_STANDARD0_burnprob.asc_FLP.txt'] = '%s%s_FLP.csv' %(zone, name) ## newnames['_STANDARD0_burnprob.asc_MeanIntensity.asc'] = '%s%s_MI.asc' %(zone, name) ## newnames['_STANDARD0_burnprob.asc_FireSizeList.txt'] = '%s%s_FSL.txt' %(zone, name) ## newnames['_TREATMENTS0_burnprob.asc'] = '%s%s_TB.asc' %(zone, name) ## newnames['_TREATMENTS0_burnprob.asc_FireSizeList.txt'] = '%s%s_TFSL.txt' %(zone, name) ## newnames['_TREATMENTS0_burnprob.asc_FLP.txt'] = '%s%s_TFLP.csv' %(zone, name) ## newnames['_TREATMENTS0_burnprob.asc_MeanIntensity.asc'] = '%s%s_TMI.asc' %(zone, name) ## print 'oldfilename = ',oldfilename ## if os.access(oldfilename,os.F_OK): ## print 'renaming file...', oldfilename ## newfilename = newnames[oldname] ## os.rename(oldfilename, newfilename) ## else: ## print"file is not fixed or does not exist" ## ## #####------------------------------------------------------------------------------------------- ##### Second Section: add x, y from files to create a layer ##### Set the spatial reference ##### NOTE: you must have the "Coordinate Systems" turned on ##### To do this click tools/options and check "Coordinate Systems" ##### in the General Tab ##print "Add x, y from files to create a layer" ##for zone in zones: ## for name in names: ## print name ## try: ## # Prepare the variables ## in_Table = 'C:\\Working\\FPA\\renamed\\%s%s_FLP.csv' %(zone, name) ## in_x = "XPos" ## in_y = "YPos" ## out_Layer = "%s%s_Pbr" %(zone, name) ## spref = "C:\\Program Files\\ArcGIS\\Coordinate Systems\\Geographic Coordinate Systems\\North America\\North American Datum 1983.prj" ## ## # Make the XY event... ## gp.MakeXYEventLayer(in_Table, in_x, in_y, out_Layer, spref) ## ## # Save to a layer file ## gp.SaveToLayerFile(out_Layer, 'C:/Working/FPA/layers/%s%s_Pbr.lyr' %(zone, name)) ## ## except: ## # If an error occurred print the message to the screen ## print gp.GetMessages() #######------------------------------------------------------------------------------------------ ####### Third Section: convert new feature layers to rasters ##print "Convert new feature layers to rasters" ## ## ##for zone in zones: ## for name in names: ## print name ## try: ## # Set local variables ## InFeatures = 'C:\\Working\\FPA\\layers\\%s%s_Pbr.lyr' %(zone, name) ## InField = "PBurn" ## OutRaster = 'C:\\Working\\FPA\\PBR_Raster\\%s%s_Pb' %(zone, name) ## InCellSize = "270" ## ## # Process: FeatureToRaster_conversion ## gp.FeatureToRaster_conversion(InFeatures, InField, OutRaster, InCellSize) ## ## except: ## # Print error message if an error occurs ## print gp.GetMessages() ##print "Convert new feature layers to rasters Fil1" ## ## ##for zone in zones: ## for name in names: ## print name ## try: ## # Set local variables ## InFeatures = 'C:\\Working\\FPA\\layers\\%s%s_Pbr.lyr' %(zone, name) ## InField = "Fil1" ## OutRaster = 'C:\\Working\\FPA\\Fil1_Raster\\%s%s_F1' %(zone, name) ## InCellSize = "270" ## ## # Process: FeatureToRaster_conversion ## gp.FeatureToRaster_conversion(InFeatures, InField, OutRaster, InCellSize) ## ## except: ## # Print error message if an error occurs ## print gp.GetMessages() ## ##print "Convert new feature layers to rasters Fil2" ## ##for zone in zones: ## for name in names: ## print name ## try: ## # Set local variables ## InFeatures = 'C:\\Working\\FPA\\layers\\%s%s_Pbr.lyr' %(zone, name) ## InField = "Fil2" ## OutRaster = 'C:\\Working\\FPA\\Fil2_Raster\\%s%s_F2' %(zone, name) ## InCellSize = "270" ## ## # Process: FeatureToRaster_conversion ## gp.FeatureToRaster_conversion(InFeatures, InField, OutRaster, InCellSize) ## ## except: ## # Print error message if an error occurs ## print gp.GetMessages() ##print "Convert new feature layers to rasters Fil3" ## ##for zone in zones: ## for name in names: ## print name ## try: ## # Set local variables ## InFeatures = 'C:\\Working\\FPA\\layers\\%s%s_Pbr.lyr' %(zone, name) ## InField = "Fil3" ## OutRaster = 'C:\\Working\\FPA\\Fil3_Raster\\%s%s_F3' %(zone, name) ## InCellSize = "270" ## ## # Process: FeatureToRaster_conversion ## gp.FeatureToRaster_conversion(InFeatures, InField, OutRaster, InCellSize) ## ## except: ## # Print error message if an error occurs ## print gp.GetMessages() #### ##print "Convert new feature layers to rasters Fil4" ## ##for zone in zones: ## for name in names: ## print name ## try: ## # Set local variables ## InFeatures = 'C:\\Working\\FPA\\layers\\%s%s_Pbr.lyr' %(zone, name) ## InField = "Fil4" ## OutRaster = 'C:\\Working\\FPA\\Fil4_Raster\\%s%s_F4' %(zone, name) ## InCellSize = "270" ## ## # Process: FeatureToRaster_conversion ## gp.FeatureToRaster_conversion(InFeatures, InField, OutRaster, InCellSize) ## ## except: ## # Print error message if an error occurs ## print gp.GetMessages() ## ##print "Convert new feature layers to rasters Fil5" ## ##for zone in zones: ## for name in names: ## print name ## try: ## # Set local variables ## InFeatures = 'C:\\Working\\FPA\\layers\\%s%s_Pbr.lyr' %(zone, name) ## InField = "Fil5" ## OutRaster = 'C:\\Working\\FPA\\Fil5_Raster\\%s%s_F5' %(zone, name) ## InCellSize = "270" ## ## # Process: FeatureToRaster_conversion ## gp.FeatureToRaster_conversion(InFeatures, InField, OutRaster, InCellSize) ## ## except: ## # Print error message if an error occurs ## print gp.GetMessages() ## ##print "Convert new feature layers to rasters Fil6" ## ##for zone in zones: ## for name in names: ## print name ## try: ## # Set local variables ## InFeatures = 'C:\\Working\\FPA\\layers\\%s%s_Pbr.lyr' %(zone, name) ## InField = "Fil6" ## OutRaster = 'C:\\Working\\FPA\\Fil6_Raster\\%s%s_F6' %(zone, name) ## InCellSize = "270" ## ## # Process: FeatureToRaster_conversion ## gp.FeatureToRaster_conversion(InFeatures, InField, OutRaster, InCellSize) ## ## except: ## # Print error message if an error occurs ## print gp.GetMessages() #####------------------------------------------------------------------------------------------ ##### Forth Section: Clip Rasters to FPA FPU extents and reproject to landfire ## ## for zone in zones: print zone for name in names: print names try: #coordysFPU = "C:\Program Files\ArcGIS\Coordinate Systems\Geographic Coordinate Systems\North America\North American Datum 1983.prj" coordsys = "C:\Program Files\ArcGIS\Coordinate Systems\Projected Coordinate Systems\Continental\North America\USA Contiguous Albers Equal Area Conic USGS.prj" InMask = 'C:/working/FPA/fpa_270' InWhereClause = "FPU_ID = '%s%s'" % (zone, name) LFRaster = 'C:\\working\\FPA\\PBR_Raster\\%s%s_PB' %(zone, name) #OutRaster = 'C:\\working\\FPA\\Fil2_Raster_clip\\%s%s_o' % (zone, name) IntRaster = 'C:\\working\\FPA\\PBR_Raster_clip\\%s%s_i' % (zone, name) OutRaster2 = 'C:\\working\\FPA\\PBR_Raster_clip\\%s%s_2' % (zone, name) OutRaster3 = 'C:\\working\\FPA\\PBR_Raster_clip\\%s%s_c' % (zone, name) OutRaster4 = 'C:\\working\\FPA\\PBR_Raster_clip\\%s%s_PB' % (zone, name) kms = 'C:\\working\\FPA\\PBR_Raster_clip\\%s%s_c' % (zone, name) ## if gp.exists (OutRaster4): ## print OutRaster4 + "exists" ## else: #Process: Copy Raster, using copy from aml gp.copy(LFRaster, IntRaster) #gp.Times_sa(LFRaster, 10000, OutRaster) #gp.Int_sa(OutRaster, IntRaster, "INTEGER") gp.DefineProjection_Management(IntRaster, coordsys) gp.copy(IntRaster, OutRaster2) #Process: Extract by zone mask delet this....gp.AddToolbox("C:/Program Files/ArcGIS/ArcToolbox/Toolboxes/Spatial Analyst Tools.tbx") #gp.ExtractByMask_sa(OutRaster2, InMask2, OutRaster3) #gp.Con_sa(OutRaster2, InMask, OutRaster3, "Value >= 0") gp.ExtractByAttributes_sa(InMask, InWhereClause, OutRaster3) Ras = gp.Describe(kms) print Ras.Extent print InWhereClause tempEnvironment7 = gp.extent gp.extent = Ras.Extent #gp.ExtractByAttributes_sa(OutRaster2, InWhereClause, OutRaster3) gp.ExtractByMask_sa(OutRaster2, OutRaster3, OutRaster4) gp.delete_management(IntRaster) #gp.delete_management(OutRaster) gp.delete_management(OutRaster2) gp.delete_management(OutRaster3) print "next one" except: # Print error message if an error occurs print gp.GetMessages() ## ##for zone in zones: ## print zone ## for name in names: ## print names ## try: ## #coordysFPU = "C:\Program Files\ArcGIS\Coordinate Systems\Geographic Coordinate Systems\North America\North American Datum 1983.prj" ## coordsys = "C:\Program Files\ArcGIS\Coordinate Systems\Projected Coordinate Systems\Continental\North America\USA Contiguous Albers Equal Area Conic USGS.prj" ## InMask = 'C:/working/FPA/fpa_270' ## InWhereClause = "FPU_ID = '%s%s'" % (zone, name) ## LFRaster = 'C:\\working\\FPA\\Fil2_Raster\\%s%s_F2' %(zone, name) ## #OutRaster = 'C:\\working\\FPA\\Fil2_Raster_clip\\%s%s_o' % (zone, name) ## IntRaster = 'C:\\working\\FPA\\Fil2_Raster_clip\\%s%s_i' % (zone, name) ## OutRaster2 = 'C:\\working\\FPA\\Fil2_Raster_clip\\%s%s_2' % (zone, name) ## OutRaster3 = 'C:\\working\\FPA\\Fil2_Raster_clip\\%s%s_c' % (zone, name) ## OutRaster4 = 'C:\\working\\FPA\\Fil2_Raster_clip\\%s%s_F2' % (zone, name) ## kms = 'C:\\working\\FPA\\Fil2_Raster_clip\\%s%s_c' % (zone, name) #### if gp.exists (OutRaster4): #### print OutRaster4 + "exists" #### else: ## #Process: Copy Raster, using copy from aml ## gp.copy(LFRaster, IntRaster) ## #gp.Times_sa(LFRaster, 10000, OutRaster) ## #gp.Int_sa(OutRaster, IntRaster, "INTEGER") ## gp.DefineProjection_Management(IntRaster, coordsys) ## gp.copy(IntRaster, OutRaster2) ## #Process: Extract by zone mask delet this....gp.AddToolbox("C:/Program Files/ArcGIS/ArcToolbox/Toolboxes/Spatial Analyst Tools.tbx") ## #gp.ExtractByMask_sa(OutRaster2, InMask2, OutRaster3) ## #gp.Con_sa(OutRaster2, InMask, OutRaster3, "Value >= 0") ## gp.ExtractByAttributes_sa(InMask, InWhereClause, OutRaster3) ## Ras = gp.Describe(kms) ## print Ras.Extent ## print InWhereClause ## tempEnvironment7 = gp.extent ## gp.extent = Ras.Extent ## #gp.ExtractByAttributes_sa(OutRaster2, InWhereClause, OutRaster3) ## gp.ExtractByMask_sa(OutRaster2, OutRaster3, OutRaster4) ## gp.delete_management(IntRaster) ## #gp.delete_management(OutRaster) ## gp.delete_management(OutRaster2) ## gp.delete_management(OutRaster3) ## print "next one" ## except: ## # Print error message if an error occurs ## print gp.GetMessages() ##for zone in zones: ## print zone ## for name in names: ## print names ## try: ## #coordysFPU = "C:\Program Files\ArcGIS\Coordinate Systems\Geographic Coordinate Systems\North America\North American Datum 1983.prj" ## coordsys = "C:\Program Files\ArcGIS\Coordinate Systems\Projected Coordinate Systems\Continental\North America\USA Contiguous Albers Equal Area Conic USGS.prj" ## InMask = 'C:/working/FPA/fpa_270' ## InWhereClause = "FPU_ID = '%s%s'" % (zone, name) ## LFRaster = 'C:\\working\\FPA\\Fil6_Raster\\%s%s_F6' %(zone, name) ## #OutRaster = 'C:\\working\\FPA\\Fil2_Raster_clip\\%s%s_o' % (zone, name) ## IntRaster = 'C:\\working\\FPA\\Fil6_Raster_clip\\%s%s_i' % (zone, name) ## OutRaster2 = 'C:\\working\\FPA\\Fil6_Raster_clip\\%s%s_2' % (zone, name) ## OutRaster3 = 'C:\\working\\FPA\\Fil6_Raster_clip\\%s%s_c' % (zone, name) ## OutRaster4 = 'C:\\working\\FPA\\Fil6_Raster_clip\\%s%s_F6' % (zone, name) ## kms = 'C:\\working\\FPA\\Fil6_Raster_clip\\%s%s_c' % (zone, name) #### if gp.exists (OutRaster4): #### print OutRaster4 + "exists" #### else: ## #Process: Copy Raster, using copy from aml ## gp.copy(LFRaster, IntRaster) ## #gp.Times_sa(LFRaster, 10000, OutRaster) ## #gp.Int_sa(OutRaster, IntRaster, "INTEGER") ## gp.DefineProjection_Management(IntRaster, coordsys) ## gp.copy(IntRaster, OutRaster2) ## #Process: Extract by zone mask delet this....gp.AddToolbox("C:/Program Files/ArcGIS/ArcToolbox/Toolboxes/Spatial Analyst Tools.tbx") ## #gp.ExtractByMask_sa(OutRaster2, InMask2, OutRaster3) ## #gp.Con_sa(OutRaster2, InMask, OutRaster3, "Value >= 0") ## gp.ExtractByAttributes_sa(InMask, InWhereClause, OutRaster3) ## Ras = gp.Describe(kms) ## print Ras.Extent ## print InWhereClause ## tempEnvironment7 = gp.extent ## gp.extent = Ras.Extent ## #gp.ExtractByAttributes_sa(OutRaster2, InWhereClause, OutRaster3) ## gp.ExtractByMask_sa(OutRaster2, OutRaster3, OutRaster4) ## gp.delete_management(IntRaster) ## #gp.delete_management(OutRaster) ## gp.delete_management(OutRaster2) ## gp.delete_management(OutRaster3) ## print "next one" ## except: ## # Print error message if an error occurs ## print gp.GetMessages() ######### Fifth Section: Creates new mosaic ##for zone in zones: ## print zone ## for name in names: ## print name ## gp.WorkSpace ='C:\\working\\FPA\\MT_20090608\\test\\out' ## OutWorkspace ='C:\\working\\FPA\\MT_20090608\\test\\out' ## OutRaster4 = 'C:\\working\\FPA\\MT_20090608\\test\\out\\%s%s_f3' % (zone, name) ## rasters = gp.ListRasters("*%s%s_f3*"%(zone, name), "GRID") ## raster = rasters.next() ## namegrid = '%s%s_f3'%(zone, name) ## mystring="" ## while raster: ## mystring+=(raster) + "; " ## raster = rasters.next() ## else: ## mystring=mystring.rstrip("; ") # r meaning strip the ; on the right ## gp.MosaicToNewRaster_management(mystring, OutWorkspace, namegrid, "#", "#", "#", "#", "FIRST", "#") ## print 'mosaic complete!'

[ "[email protected]" ]

[email protected]

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import pyaf.tests.model_control.test_ozone_custom_models_enabled as testmod testmod.build_model( ['BoxCox'] , ['PolyTrend'] , ['NoCycle'] , ['AR'] );

[ "[email protected]" ]

[email protected]

6f353343ebfd3b1bb1b40a1c028e27b4db514c59

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class Solution: def finalPrices(self, prices: List[int]) -> List[int]: n = len(prices) result = [0] * n St = [] for i in range(n - 1, -1, -1): while St and prices[i] < St[-1]: St.pop() result[i] = prices[i] - (St[-1] if St else 0) St.append(prices[i]) return result

[ "[email protected]" ]

[email protected]

ec8f221cde5fdf597b6c8d7493464006d316c717

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/LeetCode/Ex0/Ex88.py

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JasonVann/CrackingCodingInterview

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2021-09-02T09:28:34.553704

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class Ex88(object): def merge(self, nums1, m, nums2, n): """ :type nums1: List[int] :type m: int :type nums2: List[int] :type n: int :rtype: void Do not return anything, modify nums1 in-place instead. """ k = m + n - 1 i = m - 1 j = n - 1 while j >= 0 and i >= 0: #print i, j, k if nums1[i] > nums2[j]: nums1[k] = nums1[i] i -= 1 k -= 1 else : nums1[k] = nums2[j] k -= 1 j -= 1 #print 'b', nums1, i, j, k if k >= 0 and j >= 0: nums1[:k+1] = nums2[:j+1] return nums1 ex88 = Ex88() nums1=[2,0] nums2=[1] print 88, ex88.merge(nums1, 1, nums2, 1)

[ "[email protected]" ]

[email protected]

e4e5b5b777d0c2876ccd93f0e0687824c3d9acc0

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alex-petrenko/landmark-exploration

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import datetime import pickle import sys import time from os.path import join from threading import Thread from pynput.keyboard import Key, Listener from algorithms.utils.algo_utils import main_observation from algorithms.utils.env_wrappers import reset_with_info from algorithms.tmax.agent_tmax import AgentTMAX from algorithms.tmax.tmax_utils import parse_args_tmax from algorithms.topological_maps.topological_map import TopologicalMap from algorithms.utils.trajectory import Trajectory from utils.envs.atari import atari_utils from utils.envs.doom import doom_utils from utils.envs.envs import create_env from utils.envs.generate_env_map import generate_env_map from utils.timing import Timing from utils.utils import log, ensure_dir_exists terminate = False current_actions = [] key_to_action = None # noinspection PyCallingNonCallable def on_press(key): if key == Key.esc: global terminate terminate = True return False global current_actions action = key_to_action(key) if action is not None: if action not in current_actions: current_actions.append(action) # noinspection PyCallingNonCallable def on_release(key): global current_actions action = key_to_action(key) if action is not None: if action in current_actions: current_actions.remove(action) def record_trajectory(params, env_id): def make_env_func(): e = create_env(env_id, skip_frames=True) e.seed(0) return e env = make_env_func() map_img, coord_limits = generate_env_map(make_env_func) env_obs, info = reset_with_info(env) obs = main_observation(env_obs) done = False m = TopologicalMap(obs, directed_graph=False, initial_info=info, verbose=True) trajectory = Trajectory(env_idx=-1) frame = 0 t = Timing() while not done and not terminate: with t.timeit('one_frame'): env.render() if len(current_actions) > 0: action = current_actions[-1] else: action = 0 trajectory.add(obs, action, info) m.add_landmark(obs, info, update_curr_landmark=True) env_obs, rew, done, info = env.step(action) obs = main_observation(env_obs) took_seconds = t.one_frame desired_fps = 15 wait_seconds = (1.0 / desired_fps) - took_seconds wait_seconds = max(0.0, wait_seconds) time.sleep(wait_seconds) frame += 1 env.render() time.sleep(0.2) trajectory_dir = trajectory.save(params.experiment_dir()) m.save_checkpoint(trajectory_dir, map_img=map_img, coord_limits=coord_limits, verbose=True) env.close() return 0 def main(): args, params = parse_args_tmax(AgentTMAX.Params) env_id = args.env global key_to_action if 'dmlab' in env_id: from utils.envs.dmlab import play_dmlab key_to_action = play_dmlab.key_to_action elif 'atari' in env_id: key_to_action = atari_utils.key_to_action elif 'doom' in env_id: key_to_action = doom_utils.key_to_action else: raise Exception('Unknown env') # start keypress listener (to pause/resume execution or exit) def start_listener(): with Listener(on_press=on_press, on_release=on_release) as listener: listener.join() listener_thread = Thread(target=start_listener) listener_thread.start() status = record_trajectory(params, args.env) if not terminate: log.debug('Press ESC to exit...') listener_thread.join() return status if __name__ == '__main__': sys.exit(main())

[ "[email protected]" ]

[email protected]

522b229ed5441f337e5ffaf6d29ee042868dfd53

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/sphinx/conf.py

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[]

no_license

HussainAther/chipseq

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refs/heads/master

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#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # snakemake documentation build configuration file, created by # sphinx-quickstart on Thu Jul 27 17:54:40 2017. # # This file is execfile()d with the current directory set to its # containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration values have a default; values that are commented out # serve to show the default. # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. # # import os # import sys # sys.path.insert(0, os.path.abspath('.')) # -- General configuration ------------------------------------------------ # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The master toctree document. master_doc = 'index' # General information about the project. project = 'snakemake' copyright = '2017, Hussain Ather' author = 'Hussain Ather' # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # # The short X.Y version. version = '' # The full version, including alpha/beta/rc tags. release = '' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This patterns also effect to html_static_path and html_extra_path exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # If true, `todo` and `todoList` produce output, else they produce nothing. todo_include_todos = False # -- Options for HTML output ---------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = 'alabaster' # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # # html_theme_options = {} # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # Custom sidebar templates, must be a dictionary that maps document names # to template names. # # This is required for the alabaster theme # refs: http://alabaster.readthedocs.io/en/latest/installation.html#sidebars html_sidebars = { '**': [ 'about.html', 'navigation.html', 'relations.html', # needs 'show_related': True theme option to display 'searchbox.html', 'donate.html', ] } # -- Options for HTMLHelp output ------------------------------------------ # Output file base name for HTML help builder. htmlhelp_basename = 'snakemakedoc' # -- Options for LaTeX output --------------------------------------------- latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'snakemake.tex', 'snakemake Documentation', 'Hussain Ather', 'manual'), ] # -- Options for manual page output --------------------------------------- # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'snakemake', 'snakemake Documentation', [author], 1) ] # -- Options for Texinfo output ------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'snakemake', 'snakemake Documentation', author, 'snakemake', 'One line description of project.', 'Miscellaneous'), ]

[ "[email protected]" ]

[email protected]

85f2ca2dc3e54d1d6bd9647dad7d3cbe14a37fcb

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/tests/unit/mock/procenv.py

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ansible-collection-migration/ansible.fortios

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# (c) 2016, Matt Davis <[email protected]> # (c) 2016, Toshio Kuratomi <[email protected]> # # This file is part of Ansible # # Ansible is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # Ansible is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with Ansible. If not, see <http://www.gnu.org/licenses/>. # Make coding more python3-ish from __future__ import (absolute_import, division, print_function) __metaclass__ = type import sys import json from contextlib import contextmanager from io import BytesIO, StringIO from ansible_collections.ansible.fortios.tests.unit.compat import unittest from ansible.module_utils.six import PY3 from ansible.module_utils._text import to_bytes @contextmanager def swap_stdin_and_argv(stdin_data='', argv_data=tuple()): """ context manager that temporarily masks the test runner's values for stdin and argv """ real_stdin = sys.stdin real_argv = sys.argv if PY3: fake_stream = StringIO(stdin_data) fake_stream.buffer = BytesIO(to_bytes(stdin_data)) else: fake_stream = BytesIO(to_bytes(stdin_data)) try: sys.stdin = fake_stream sys.argv = argv_data yield finally: sys.stdin = real_stdin sys.argv = real_argv @contextmanager def swap_stdout(): """ context manager that temporarily replaces stdout for tests that need to verify output """ old_stdout = sys.stdout if PY3: fake_stream = StringIO() else: fake_stream = BytesIO() try: sys.stdout = fake_stream yield fake_stream finally: sys.stdout = old_stdout class ModuleTestCase(unittest.TestCase): def setUp(self, module_args=None): if module_args is None: module_args = {'_ansible_remote_tmp': '/tmp', '_ansible_keep_remote_files': False} args = json.dumps(dict(ANSIBLE_MODULE_ARGS=module_args)) # unittest doesn't have a clean place to use a context manager, so we have to enter/exit manually self.stdin_swap = swap_stdin_and_argv(stdin_data=args) self.stdin_swap.__enter__() def tearDown(self): # unittest doesn't have a clean place to use a context manager, so we have to enter/exit manually self.stdin_swap.__exit__(None, None, None)

[ "[email protected]" ]

[email protected]

77ceb0223c09fd8f4e1e20c731296bf4051c99b9

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/xwing_rulebook/rules/migrations/0005_auto_20170114_1838.py

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[]

no_license

lvisintini/xwing-rulebook

24a392c12a2b13027e7cf65b9cc41e8a21585e3c

6dc7ac58f962a4928843364dcfc077638384dc16

refs/heads/master

2021-01-22T19:41:32.960048

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null

UTF-8

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542

py

# -*- coding: utf-8 -*- # Generated by Django 1.10.4 on 2017-01-14 18:38 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('rules', '0004_auto_20170114_0010'), ] operations = [ migrations.AlterField( model_name='content', name='file', field=models.FilePathField(blank=True, null=True, path='/home/lvisintini/src/xwing-rulebook/xwing_rulebook/static', recursive=True), ), ]

[ "[email protected]" ]

[email protected]

7d538662625104748e0d8ce3db20225b2e8cb6a1

30ec40dd6a81dbee73e7f14c144e20495960e565

/kubernetes/test/test_v1_persistent_volume.py

3f2fe9cff5949e5488c0fb3e07e8efbe740227a8

[ "Apache-2.0" ]

permissive

jonathan-kosgei/client-python

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refs/heads/master

2021-01-20T14:59:10.435626

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# coding: utf-8 """ Kubernetes No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) OpenAPI spec version: v1.6.3 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import os import sys import unittest import kubernetes.client from kubernetes.client.rest import ApiException from kubernetes.client.models.v1_persistent_volume import V1PersistentVolume class TestV1PersistentVolume(unittest.TestCase): """ V1PersistentVolume unit test stubs """ def setUp(self): pass def tearDown(self): pass def testV1PersistentVolume(self): """ Test V1PersistentVolume """ model = kubernetes.client.models.v1_persistent_volume.V1PersistentVolume() if __name__ == '__main__': unittest.main()

[ "[email protected]" ]

[email protected]

60478f86d50f53b1d361c8a21deef2a43bb1ef65

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/run_project/02_Pima_Indian.py

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[]

no_license

ss820938ss/pythonProject_deeplearning

0ad26797299df1eb5b549bd2a5309502d58a495c

baa55f492f07da955b45573ac52d7f61f2d0ee0d

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2023-07-09T15:50:37.319896

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# pandas 라이브러리를 불러옵니다. import pandas as pd import matplotlib.pyplot as plt import seaborn as sns # 피마 인디언 당뇨병 데이터셋을 불러옵니다. 불러올 때 각 컬럼에 해당하는 이름을 지정합니다. df = pd.read_csv('../dataset/pima-indians-diabetes.csv', names=["pregnant", "plasma", "pressure", "thickness", "insulin", "BMI", "pedigree", "age", "class"]) # 처음 5줄을 봅니다. print(df.head(5)) # 데이터의 전반적인 정보를 확인해 봅니다. print(df.info()) # 각 정보별 특징을 좀더 자세히 출력합니다. print(df.describe()) # 데이터 중 임신 정보와 클래스 만을 출력해 봅니다. print(df[['plasma', 'class']]) # 데이터 간의 상관관계를 그래프로 표현해 봅니다. colormap = plt.cm.gist_heat # 그래프의 색상 구성을 정합니다. plt.figure(figsize=(12, 12)) # 그래프의 크기를 정합니다. # 그래프의 속성을 결정합니다. vmax의 값을 0.5로 지정해 0.5에 가까울 수록 밝은 색으로 표시되게 합니다. sns.heatmap(df.corr(), linewidths=0.1, vmax=0.5, cmap=colormap, linecolor='white', annot=True) plt.show() grid = sns.FacetGrid(df, col='class') grid.map(plt.hist, 'plasma', bins=10) plt.show() # 딥러닝을 구동하는 데 필요한 케라스 함수를 불러옵니다. from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense # 필요한 라이브러리를 불러옵니다. import numpy import tensorflow as tf # 실행할 때마다 같은 결과를 출력하기 위해 설정하는 부분입니다. numpy.random.seed(3) tf.random.set_seed(3) # 데이터를 불러 옵니다. dataset = numpy.loadtxt("../dataset/pima-indians-diabetes.csv", delimiter=",") X = dataset[:, 0:8] Y = dataset[:, 8] # 모델을 설정합니다. model = Sequential() model.add(Dense(12, input_dim=8, activation='relu')) model.add(Dense(8, activation='relu')) model.add(Dense(1, activation='sigmoid')) # 모델을 컴파일합니다. model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy']) # 모델을 실행합니다. model.fit(X, Y, epochs=200, batch_size=10) # 결과를 출력합니다. print("\n Accuracy: %.4f" % (model.evaluate(X, Y)[1]))

[ "[email protected]" ]

[email protected]

98d4948b986f60c3d4fb60f286e763e24192f924

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/09、UI自动化测试及黑马头条项目实战/day08/03代码/等待操作.py

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zmh19941223/heimatest2021

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import time from appium import webdriver from appium.webdriver.common.touch_action import TouchAction from selenium.webdriver.common.by import By from utils import get_element, input_text des_cap = { "platformName" : "android" , #表示的是android 或者ios "platformVersion" : "5.1.1", #表示的是平台系统的版本号 "deviceName" : "****", #表示的是设备的ID名称（如果只有一个设备可以用****来代替） "appPackage" : "com.android.settings", #表示app的包名 "appActivity" : ".Settings", #表示的是app的界面名 "resetKeyboard": True, # 重置设备的输入键盘 "unicodeKeyboard": True # 采用unicode编码输入 ####"".module_main.activity.MainActivity"" } #定义字典参数 driver = webdriver.Remote("http://localhost:4723/wd/hub", des_cap) # 找到wlan元素 wlan_btn = By.XPATH, "//*[@text='WLAN']" get_element(driver, wlan_btn).click() time.sleep(2) # 通过等待及按下和抬起实现长按的操作 TouchAction(driver).press(x=467, y=569).wait(3000).release().perform() time.sleep(3) driver.quit()

[ "[email protected]" ]

[email protected]

6effd0d2562d816e58d889808b24eb4eba7e3903

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/Project2/Project2/.history/blog/models_20211114171729.py

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[]

no_license

Bom19990111/helloword_python

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refs/heads/master

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from django.db import models # Create your models here. class Blog(models.Model): title = models.CharField(max_length=250, blank=True) slug = models.SlugField(max_length=250, blank=True) author = models.ForeignKey(User, on_delete=models.CASCADE) description = models.TextField() date = models.DateField() def __str__(self): return self.title

[ "[email protected]" ]

[email protected]

29d01b80c275af77e63f5fcd122ffecdf2cc0a5c

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/templates/login/kamran.py

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[]

no_license

kalantarlikamran2/ali

4fe900cfa67f40b3db1e2b850383871505e5249f

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refs/heads/main

2023-01-03T15:51:35.826027

2020-11-04T20:46:29

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py

` class ilkUygulama(App): def build(self): return Label(text='Merhaba Dünya!') ilkUygulama().run()

[ "[email protected]" ]

[email protected]

e46bcceeb1e79b9edce031b21c399f957deb42c3

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/bluebottle/cms/migrations/0052_auto_20171027_1419.py

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[ "BSD-2-Clause" ]

permissive

raux/bluebottle

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# -*- coding: utf-8 -*- # Generated by Django 1.10.8 on 2017-10-27 12:19 from __future__ import unicode_literals from django.db import migrations, connection from django.core.management import call_command def migrate_homepage(apps, schema_editor): call_command('migrate_homepage', tenant=connection.tenant.schema_name) class Migration(migrations.Migration): dependencies = [ ('cms', '0051_auto_20171024_1631'), ] operations = [ migrations.RunPython(migrate_homepage) ]

[ "[email protected]" ]

[email protected]

715184433e0880b06cffd93aafcb0ed70d537c8d

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/leetcode/maxProfit.py

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[]

no_license

xy2333/Leetcode

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5915e039868527d624ee4f0ad431d23c6ed2d8bd

refs/heads/master

2020-06-19T13:30:14.755534

2019-08-12T02:12:03

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class Solution: def maxProfit(self, prices): if len(prices) <= 1: return 0 maxprofit = 0 minrise = prices[0] for i in range(1,len(prices)): if prices[i] < minrise: minrise = prices[i] else: maxprofit = max(maxprofit,prices[i]-minrise) return maxprofit

[ "[email protected]" ]

[email protected]

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/Python: Create a Grid/Create a Grid 05/graphics_environment.py

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permissive

poly451/Tutorials

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py

import sys, os import pygame import constants import utils # ----------------------------------------------------------- # class Event # ----------------------------------------------------------- class Event: def __init__(self, mydict): # print("mydict: {}".format(mydict)) self.index = mydict["index"] if not type(self.index) == type(123): raise ValueError("Error!") self.condition = mydict["condition"] s = mydict["value"].lower().strip() if s == "true": self._is_fulfillled = True elif s == "false": self._is_fulfillled = False else: raise ValueError("Error") # ---- @property def is_fulfilled(self): print("Getting value Event.has_been_done. Is: {}".format(self._is_fulfillled)) return self._is_fulfillled @is_fulfilled.setter def is_fulfilled(self, new_value): print("_is_fulfilled being set to {}".format(new_value)) if not new_value in [True, False]: raise ValueError("Error!") self._is_fulfillled = new_value @is_fulfilled.deleter def is_fulfilled(self): del self._is_fulfillled def fileline(self): s = "index: {}\ncondition: {}\nvalue: {}\n" s = s.format(self.index, self.condition, self.is_fulfilled) return s def debug_print(self): s = "index: {}, condition: {}, value: {} ({})" s = s.format(self.index, self.condition, self.is_fulfilled, type(self.is_fulfilled)) print(s) # ----------------------------------------------------------- # class Events # ----------------------------------------------------------- class Events: def __init__(self, zone_name, map_name): self.zone_name = zone_name self.map_name = map_name self.events = [] def read_data(self): filepath = os.path.join("data", "zones", self.zone_name, self.map_name, "events.txt") print("filepath: {}".format(filepath)) if utils.file_is_empty(filepath) == True: return False mylist = utils.read_data_file(filepath, 3) for a_dict in mylist: # print(a_dict) new_elem = Event(a_dict) self.events.append(new_elem) def save_data(self): s = "" for elem in self.events: s += "{}\n".format(elem.fileline()) print("debug map_name: {}".format(self.map_name)) print("debug s: {}".format(s)) # if self.map_name == "map01": # raise NotImplemented # else: filepath = os.path.join("data", "zones", self.zone_name, self.map_name, "events.txt") with open(filepath, "w") as f: f.write(s) def set_a_value(self, condition, value): if not value in [False, True]: raise ValueError("Error") # ---- """Looks up whether a particular condition in events.txt was satisfied.""" for elem in self.events: # print("key: -{}-, condition: -{}-".format(elem.condition, condition)) if elem.condition == condition: elem.is_fulfilled = value return True return False def get_a_value(self, condition): if len(condition) == 0: raise ValueError("Error!") # ---- for elem in self.events: if elem.condition == condition: return elem.is_fulfilled return None def debug_print(self): for elem in self.events: elem.debug_print() # ----------------------------------------------------------- # class Action # ----------------------------------------------------------- class Action(pygame.sprite.Sprite): def __init__(self, x, y, name): super().__init__() self.x, self.y = x, y self.name = name self.command = "" self.image_display = "" self.data = "" self.inventory_condition = "" self.game_condition = "" self.dialog_text = "" self.comment = "" self.completed = False # ---- self.image = None self.rect = None def read_data(self, zone_name, map_name): filepath = os.path.join("data", "zones", zone_name, map_name, "actions.txt") mylines = utils.read_data_file(filepath, 8) if mylines is None or len(mylines) == 0: raise ValueError("Error!") # ---- target_dict = {} for elem in mylines: if elem["name"] == self.name: target_dict = elem if len(target_dict) == 0: s = "The name {} was not found in {}".format(self.name, target_dict) raise ValueError(s) self.command = target_dict["command"] if not self.command in constants.MAP_COMMANDS: raise ValueError("Error! {} is not in {}".format(target_dict["command"], constants.MAP_COMMANDS)) self.image_display = target_dict["image_display"] self.data = target_dict["data"] self.inventory_condition = target_dict["inventory_condition"] if self.inventory_condition == "none": self.inventory_condition = None # Need to be able to check that the player has successfully # completed a conversation. # Perhaps also check to see that the conversation is in the # events file. self.game_condition = target_dict["game_condition"].lower().strip() if self.game_condition == "none": self.game_condition = None self.dialog_text = target_dict["dialog_text"] self.comment = target_dict["comment"] self.completed = False # ---- self.image_display = self.image_display.replace(" ", "_") if self.image_display.find(".png") == -1: self.image_display = "{}.png".format(self.image_display) filepath = utils.get_filepath(self.image_display) if filepath is None: s = "I wasn't able to find a path for the file: {}".format(self.image_display) raise ValueError(s) try: self.image = pygame.image.load(filepath).convert_alpha() except Exception as e: print(e) s = "Couldn't open: {}".format(filepath) raise ValueError(s) self.image = pygame.transform.scale(self.image, (constants.TILESIZE, constants.TILESIZE)) self.rect = self.image.get_rect() self.rect = self.rect.move(self.x * constants.TILESIZE, self.y * constants.TILESIZE) # ---- def conditions_passed(self, inventory, events): if self.inventory_condition in ["any", None]: if self.game_condition in ["any", None]: print("There was no inventory or game condition.") return True # ---- if not self.inventory_condition in ["any", None]: print("There is an inventory condition: {}".format(self.inventory_condition)) the_item = inventory.get_item_by_name(self.inventory_condition) if the_item is None: print("the item ({}) was not found in the inventory".format(self.inventory_condition)) return False if not self.game_condition in ["any", None]: print("There is a game condition: {}".format(self.game_condition)) this_value = events.get_a_value(self.game_condition) if this_value is None: print("An event that matched this game condition was not found.") raise ValueError("Error!") return this_value else: return True # --------------------- def parse_data(self): print("data string: {}".format(self.data)) mylist = self.data.split(";") mylist = [i.strip() for i in mylist if len(i.strip()) > 0] print("mylist: {}".format(mylist)) mydict = {} mydict = utils.key_value(mylist[0], mydict) mydict = utils.key_value(mylist[1], mydict) return mydict def display_text(self): return self.dialog_text def debug_print(self): s = "x,y: ({},{}), name: {}, command: {}, image_display: {}, data: {}, inventory_condition: {}, " \ "game_condition: {}, dialog_text: {}, comment: {}, completed: {}" s = s.format(self.x, self.y, self.name, self.command, self.image_display, self.data, self.inventory_condition, self.game_condition, self.dialog_text, self.comment, self.completed) print(s) # ----------------------------------------------------------- # class Actions # ----------------------------------------------------------- class Actions: def __init__(self, zone_name, map_name): self.zone_name = zone_name self.map_name = map_name self.actions = [] self.keep_looping = True self.all_sprites = pygame.sprite.Group() self.init_pygame() def init_pygame(self): pygame.init() self.BG_COLOR = constants.BG_COLOR self.clock = pygame.time.Clock() pygame.display.set_caption("Enter {}".format(constants.TITLE)) self.screen = pygame.display.set_mode((constants.SCREEN_WIDTH, constants.SCREEN_HEIGHT)) self.font = pygame.font.Font(None, 40) # self.font = pygame.font.SysFont(constants.FONT_NAME, constants.FONT_SIZE) def read_data(self): self._load_map() ################# # Class Actions # ################# def _load_map(self): print("Loading _load_map") filename = "{}_actions.txt".format(self.map_name) filepath = os.path.join("data", "zones", self.zone_name, self.map_name, filename) print("opening zone filepath: {}".format(filepath)) with open(filepath, "r") as f: mytiles = f.readlines() mytiles = [i.strip() for i in mytiles if len(i.strip()) > 0] mytiles = [i[3:] for i in mytiles[2:]] # ------------------------------------------------------------------ self.obstacles = [] for col, tiles in enumerate(mytiles): print(tiles) list_tiles = tiles.split(";") list_tiles = [i.strip() for i in list_tiles if len(i.strip()) > 0] for row, tile in enumerate(list_tiles): print(tile) if tile == "..": pass elif len(tile) > 0: new_action = Action(row, col, tile) new_action.read_data(self.zone_name, self.map_name) self.actions.append(new_action) else: s = "Error! I don't recognize this: -{}-".format(tile) raise ValueError(s) def conditions_passed(self, player, events): current_action = self.get_action(player.x, player.y) if current_action is None: # We should not have reached this point unless there was an action # on the player's tile. raise ValueError("Error!") current_action.debug_print() return current_action.conditions_passed(player.inventory, events) def remove_tile(self, x, y): print("Number of actions BEFORE: {}".format(len(self.actions))) mylist = [] self.all_sprites = pygame.sprite.Group() for elem in self.actions: if elem.x == x and elem.y == y: pass else: mylist.append(elem) print("Number of actions AFTER: {}".format(len(mylist))) self.actions = mylist def get_action(self, x, y): print(self.actions) if self.actions is None: raise ValueError("Error!") if len(self.actions) == 0: raise ValueError("Error!") # ---- for action in self.actions: if action.x == x and action.y == y: return action return None # --------------------------------------------------- def handle_events(self): # catch all events here for event in pygame.event.get(): if event.type == pygame.QUIT: self.keep_looping = False return True if event.type == pygame.KEYDOWN: if event.key == pygame.K_ESCAPE: self.keep_looping = False return True else: print("I don't recognize this event.key in handle_events: {}".format(event.key)) # ------------------------------------------------------ def update_classes(self, all_sprites): for elem in self.actions: all_sprites.add(elem) return all_sprites def draw(self): self.screen.fill(self.BG_COLOR) self.update_classes(self.all_sprites) # ---- self.all_sprites.update() self.all_sprites.draw(self.screen) # ---- pygame.display.flip() def main(self): while self.keep_looping == True: self.handle_events() self.draw() # ------------------------------------------------------ def debug_print(self): for elem in self.actions: elem.debug_print() def debug_test(self): for an_action in self.actions: if len(an_action.game_condition) == 0: return False return True # ----------------------------------------------------------- # class Trigger # ----------------------------------------------------------- class Trigger: def __init__(self, x, y, name): self.x, self.y = x, y self.name = name self.command = "" self.data = "" self.inventory_condition = "" self.game_condition = "" self.comment = "" self.completed = False def read_data(self, zone_name, map_name): filepath = os.path.join("data", "zones", zone_name, map_name, "triggers.txt") print("filepath: {}".format(filepath)) mylines = utils.read_data_file(filepath, 6) if mylines is None: return False if len(mylines) == 0: return False # print("mylines: {}".format(mylines)) # ---- was_entered = False for mydict in mylines: # print("mydict: {}".format(mydict)) # print("self.name: -{}- == mydict[name]: -{}-".format(self.name, mydict["name"])) # print("-{}=={}-".format(self.name, mydict["name"])) if self.name == mydict["name"].replace(":", ""): was_entered = True self.command = mydict["command"] if not self.command in constants.MAP_COMMANDS: raise ValueError("{} not in {}".format(self.command, constants.MAP_COMMANDS)) self.data = mydict["data"] self.inventory_condition = mydict["inventory_condition"].lower().strip() if self.inventory_condition == "none": self.inventory_condition = None self.game_condition = mydict["game_condition"] if self.game_condition == "none": self.game_condition = None self.comment = mydict["comment"] if was_entered == False: raise ValueError("Error!") def parse_data(self): # print("data string: {}".format(self.data)) if self.data.find("zone_name") == -1 or self.data.find("map_name") == -1: s = "current_trigger.data: {}".format(self.data) raise ValueError(s) mylist = self.data.split(";") mylist = [i.strip() for i in mylist if len(i.strip()) > 0] mydict = {} # print(mylist) mydict = utils.key_value(mylist[0], mydict) mydict = utils.key_value(mylist[1], mydict) return mydict def conditions_passed(self, inventory, events): if self.inventory_condition in ["any", None]: if self.game_condition in ["any", None]: print("There was no inventory or game condition.") return True # ---- if not self.inventory_condition in ["any", None]: print("There is an inventory condition: {}".format(self.inventory_condition)) the_item = inventory.get_item_by_name(self.inventory_condition) if the_item is None: print("the item ({}) was not found in the inventory".format(self.inventory_condition)) return False if not self.game_condition in ["any", None]: print("There is a game condition: {}".format(self.game_condition)) this_value = events.get_a_value(self.game_condition) if this_value is None: print("An event that matched this game condition was not found.") raise ValueError("Error!") return this_value else: return True def debug_print(self): s = "x,y: ({},{}), name: {}, command: {}, data: {}, " \ "inventory_condition: {}, game_condition: {}, comment: {}, completed: {}" s = s.format(self.x, self.y, self.name, self.command, self.data, self.inventory_condition, self.game_condition, self.comment, self.completed) print(s) # ----------------------------------------------------------- # class Triggers # ----------------------------------------------------------- class Triggers: def __init__(self, zone_name, map_name): self.zone_name = zone_name self.map_name = map_name self.triggers = [] def read_data(self): self.load_map() def load_map(self): filename = "{}_triggers.txt".format(self.map_name) filepath = os.path.join("data", "zones", self.zone_name, self.map_name, filename) # print("opening zone filepath: {}".format(filepath)) with open(filepath, "r") as f: mytiles = f.readlines() mytiles = [i.strip() for i in mytiles if len(i.strip()) > 0] # mytiles = mytiles[3:] # [print(i) for i in mytiles] mytiles = [i[3:] for i in mytiles[2:]] # [print(i) for i in mytiles] # ------------------------------------------------------------------ for col, tiles in enumerate(mytiles): list_tiles = tiles.split(";") list_tiles = [i.strip() for i in list_tiles if len(i.strip()) > 0] for row, tile in enumerate(list_tiles): # print("tile: {}".format(tiles)) # print("row: {}, tile: {}".format(row, tile)) if tile != "..": # if tile.find("a") == -1: new_trigger = Trigger(row, col, tile) new_trigger.read_data(self.zone_name, self.map_name) # new_trigger.debug_print() self.triggers.append(new_trigger) elif tile == "..": pass else: s = "Error! I don't recognize this: {}".format(tile) raise ValueError(s) def get_trigger(self, x, y): for trigger in self.triggers: if trigger.x == x: if trigger.y == y: return trigger return None def conditions_passed(self, player, events): current_trigger = self.get_trigger(player.x, player.y) if current_trigger is None: # We should not have reached this point unless there was an action # on the player's tile. raise ValueError("Error!") # current_trigger.debug_print() return current_trigger.conditions_passed(player.inventory, events) def debug_print(self): for elem in self.triggers: elem.debug_print() def debug_test(self): for a_trigger in self.triggers: if not a_trigger.game_condition is None: if len(a_trigger.game_condition) == 0: return False return True def __len__(self): return len(self.triggers) # ----------------------------------------------------------- # class Walkable # ----------------------------------------------------------- """ As you can see, class Grass uses inheritance. We do this so that we can add this class--which is now a subclass of the pygame.sprite.Sprite class and so, now, is itself a Sprite--to a pygame.sprite.Group. If none of that makes any sense to you, don't worry! I would recommend that you start using inheritance and, as you see how it works, you will come to understand it. And, please, ask questions! Ask me, ask on Stack Overflow (https://stackoverflow.com/) or even Twitter. """ class Walkable(pygame.sprite.Sprite): def __init__(self, mydict): super().__init__() self.x = mydict["x"] self.y = mydict["y"] self.kind = mydict["kind"] self.species = mydict["species"] # self.trigger = mydict["trigger"] self.image_filename = "" self.image = None self.rect = None self.comment = "" # ---- if self.kind == "npc_dead" and self.species == 0: self.image_filename = utils.get_filepath("dead_person_cobblestones.png") elif self.kind == "npc_dead" and self.species == 1: self.image_filename = utils.get_filepath("dead_person_light_green_tile.png") elif self.kind == "chair" and self.species == 1: self.image_filename = utils.get_filepath("chair_right_light_green_tile.png") elif self.kind == "chair" and self.species == 2: self.image_filename = utils.get_filepath("chair_left_light_green_tile.png") elif self.kind == "chair" and self.species == 3: self.image_filename = utils.get_filepath("chair_down_light_green_tile.png") elif self.kind == "chair" and self.species == 4: self.image_filename = utils.get_filepath("chair_up_light_green_tile.png") elif self.kind == "tile" and self.species == 0: self.image_filename = utils.get_filepath("floor_tile_light_green.png") elif self.kind == "cobblestones" and self.species == 0: self.image_filename = utils.get_filepath("cobblestones11.png") elif self.kind == "cobblestones" and self.species == 1: self.image_filename = utils.get_filepath("cobblestones11_light01.png") elif self.kind == "cobblestones" and self.species == 2: self.image_filename = utils.get_filepath("cobblestones11_light02.png") elif self.kind == "portal" and self.species == 0: self.image_filename = utils.get_filepath("portal_cobblestones02.png") elif self.kind == "grass" and self.species == 0: self.image_filename = utils.get_filepath("grass02.png") elif self.kind == "flowers" and self.species == 0: self.image_filename = utils.get_filepath("flowers01_grass01.png") elif self.kind == "strawberries" and self.species == 0: self.image_filename = utils.get_filepath("strawberries01.png") elif self.kind == "mushrooms" and self.species == 0: self.image_filename = utils.get_filepath("mushrooms01_grass01.png") elif self.kind == "forest" and self.species == 0: self.image_filename = utils.get_filepath("forest_02.png") elif self.kind == "portal" and self.species == 1: self.image_filename = utils.get_filepath("portal_grass.png") elif self.kind == "portal" and self.species == 2: self.image_filename = utils.get_filepath("portal_grass02.png") elif self.kind == "portal" and self.species == 3: self.image_filename = utils.get_filepath("portal_pub01.png") elif self.kind == "pub" and self.species == 0: self.image_filename = utils.get_filepath("building09.png") elif self.kind == "pub" and self.species == 1: self.image_filename = utils.get_filepath("building09_grass.png") elif self.kind == "provisioner" and self.species == 0: self.image_filename = utils.get_filepath("building07.png") elif self.kind == "provisioner" and self.species == 1: self.image_filename = utils.get_filepath("building07_grass.png") elif self.kind == "black" and self.species == 0: self.image_filename = utils.get_filepath("black.png") elif self.kind == "empty" and self.species == 0: self.image_filename = utils.get_filepath("empty.png") else: s = "Couldn't find: kind: {}, species: {}".format(self.kind, self.species) raise ValueError(s) # ---- # self.filepath = os.path.join("data", "images", self.image_filename) try: self.image = pygame.image.load(self.image_filename).convert_alpha() except: s = "Couldn't open: {}".format(self.image_filename) raise ValueError(s) self.image = pygame.transform.scale(self.image, (constants.TILESIZE, constants.TILESIZE)) self.rect = self.image.get_rect() self.rect = self.rect.move(self.x * constants.TILESIZE, self.y * constants.TILESIZE) def _collide(self, dx=0, dy=0, obstacles=None): for a_tile in obstacles: if a_tile.x == self.x + dx and a_tile.y == self.y + dy: return True return False def move(self, dx=0, dy=0, obstacles=None): if not self._collide(dx, dy, obstacles): self.x += dx self.y += dy # self.rect = self.rect.move(self.x * TILESIZE, self.y * TILESIZE) self.rect = self.rect.move(dx * constants.TILESIZE, dy * constants.TILESIZE) # print("Player has moved. x,y: {},{}; dx={}, dy={}".format(self.x, self.y, dx, dy)) def debug_print(self): raise NotImplemented print("filepath: {}".format(self.filepath)) print("x,y: {},{}".format(self.x, self.y)) # ----------------------------------------------------------- # class Walkables # ----------------------------------------------------------- class Walkables: def __init__(self, zone_name, map_name): if zone_name == None: raise ValueError("Error!") if len(zone_name) == 0: raise ValueError("Error!") if map_name == None: raise ValueError("Error!") if len(map_name) == 0: raise ValueError("Error!") self.zone_name = zone_name self.map_name = map_name # ---- self.all_sprites = pygame.sprite.Group() self.init_pygame() self.loop_index = 0 # self.walkables = self.read_data() self.walkables = [] self.keep_looping = True # if self.walkables is None: # raise ValueError("Doh!") def read_data(self): self._load_map() def _load_map(self): filename = "{}_walkables.txt".format(self.map_name) filepath = os.path.join("data", "zones", self.zone_name, self.map_name, filename) with open(filepath, "r") as f: mytiles = f.readlines() mytiles = [i.strip() for i in mytiles if len(i.strip()) > 0] mytiles = [i[3:] for i in mytiles[2:]] # [print(i) for i in mytiles] # ------------------------------------------------------------------ # t1 = False # t2 = False big_list = [] for col, tiles in enumerate(mytiles): tile_list = tiles.split(";") tile_list = [i.strip() for i in tile_list if len(i.strip()) > 0] for row, tile in enumerate(tile_list): # print("tile: {}".format(tile)) if tile == "a0": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "npc_dead" mydict["species"] = 0 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) if tile == "a1": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "npc_dead" mydict["species"] = 1 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) elif tile == "f1": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "chair" mydict["species"] = 1 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) # print("obstacle (wall) tile added at x,y: ({},{})".format(row, col)) elif tile == "f2": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "chair" mydict["species"] = 2 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) elif tile == "f3": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "chair" mydict["species"] = 3 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) elif tile == "f4": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "chair" mydict["species"] = 4 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) elif tile == "c0": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "pub" mydict["species"] = 0 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) elif tile == "c1": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "pub" mydict["species"] = 1 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) elif tile == "e0": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "provisioner" mydict["species"] = 0 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) elif tile == "e1": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "provisioner" mydict["species"] = 1 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) elif tile == "d0": # cobblestones mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "cobblestones" mydict["species"] = 0 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) # if row == 5 and col == 8: # mydict["comment"] = "load_map;map01" # t1 = True # elif row == 6 and col == 8: # mydict["comment"] = "load_map;map01" # t2 = True elif tile == "d1": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "cobblestones" mydict["species"] = 1 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) elif tile == "d2": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "cobblestones" mydict["species"] = 2 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) elif tile == "h0": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "tile" mydict["species"] = 0 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) elif tile == "b0": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "black" mydict["species"] = 0 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) elif tile == "l0": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "portal" mydict["species"] = 0 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) elif tile == "l1": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "portal" mydict["species"] = 1 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) elif tile == "l2": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "portal" mydict["species"] = 2 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) elif tile == "g0": mydict = {} mydict["x"], mydict["y"] = row, col mydict["kind"] = "grass" mydict["species"] = 0 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) elif tile == "m0": mydict = {} mydict["x"], mydict["y"] = row, col mydict["kind"] = "mushrooms" mydict["species"] = 0 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) elif tile == "f0": mydict = {} mydict["x"], mydict["y"] = row, col mydict["kind"] = "forest" mydict["species"] = 0 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) elif tile == "h0": mydict = {} mydict["x"], mydict["y"] = row, col mydict["kind"] = "flowers" mydict["species"] = 0 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) elif tile == "s0": mydict = {} mydict["x"], mydict["y"] = row, col mydict["kind"] = "strawberries" mydict["species"] = 0 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) elif tile == "..": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "empty" mydict["species"] = 0 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) else: mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "empty" mydict["species"] = 0 mydict["trigger"] = "" mywalk = Walkable(mydict) big_list.append(mywalk) # if t1 == False or t2 == False: # raise ValueError("Something went wrong.") self.walkables = big_list def init_pygame(self): pygame.init() self.BG_COLOR = constants.BG_COLOR self.clock = pygame.time.Clock() pygame.display.set_caption("Enter {}".format(constants.TITLE)) self.screen = pygame.display.set_mode((constants.SCREEN_WIDTH, constants.SCREEN_HEIGHT)) self.font = pygame.font.Font(None, 40) # self.font = pygame.font.SysFont(constants.FONT_NAME, constants.FONT_SIZE) def handle_events(self): # catch all events here for event in pygame.event.get(): if event.type == pygame.QUIT: self.keep_looping = False return True if event.type == pygame.KEYDOWN: if event.key == pygame.K_ESCAPE: self.keep_looping = False return True else: print("I don't recognize this event.key in handle_events: {}".format(event.key)) def update_classes(self, all_sprites): for elem in self.walkables: all_sprites.add(elem) return all_sprites def draw(self): self.screen.fill(self.BG_COLOR) self.update_classes(self.all_sprites) # ---- self.all_sprites.update() self.all_sprites.draw(self.screen) # ---- pygame.display.flip() def main(self): while self.keep_looping == True: self.handle_events() self.draw() def __len__(self): return len(self.walkables) def __getitem__(self, item): return self.walkables[item] def __next__(self): if self.loop_index >= len(self.walkables): self.loop_index = 0 raise StopIteration else: this_value = self.walkables[self.loop_index] self.loop_index += 1 return this_value def __iter__(self): return self def debug_print(self): print("Number of grasses: {}".format(len(self.walkables))) if len(self.walkables) == 0: s = "Error! There are no grasses to print." raise ValueError(s) for grass in self.walkables: grass.debug_print() # ----------------------------------------------------------- # class Obstacle # ----------------------------------------------------------- class Obstacle(pygame.sprite.Sprite): def __init__(self, mydict): super().__init__() self.x = mydict["x"] self.y = mydict["y"] self.kind = mydict["kind"] self.species = mydict["species"] self.trigger = mydict["trigger"] # self.image_filename = mydict["image_filename"] self.image_filename = "" self.image = None self.rect = None # ---- if self.kind == "wall" and self.species == 0: self.image_filename = os.path.join("structures", "brick_wall02.png") elif self.kind == "stove" and self.species == 0: self.image_filename = os.path.join("structures", "stove01.png") elif self.kind == "table" and self.species == 0: self.image_filename = os.path.join("structures", "table_large_empty_01.png") elif self.kind == "table" and self.species == 1: self.image_filename = os.path.join("structures", "table_and_wine_02.png") elif self.kind == "counter" and self.species == 0: self.image_filename = os.path.join("structures", "tile_counter.png") elif self.kind == "empty" and self.species == 0: self.image_filename = "empty.png" elif self.kind == "streetlamp" and self.species == 0: self.image_filename = os.path.join("structures", "streetlamp02.png") elif self.kind == "streetlamp" and self.species == 1: self.image_filename = os.path.join("structures", "streetlamp03.png") elif self.kind == "forest" and self.species == 0: self.image_filename = os.path.join("nature_tiles", "medievalTile_48.png") elif self.kind == "rocks" and self.species == 0: self.image_filename = os.path.join("nature_tiles", "pile_of_rocks01_grey01.png") else: s = "I can't find kind: {}, species: {} ({})".format(self.kind, self.species, type(self.species)) raise ValueError(s) # ---- filepath = os.path.join("data", "images", self.image_filename) try: self.image = pygame.image.load(filepath).convert_alpha() except Exception as e: print(e) s = "Couldn't open: {}".format(filepath) raise ValueError(s) self.image = pygame.transform.scale(self.image, (constants.TILESIZE, constants.TILESIZE)) self.rect = self.image.get_rect() self.rect = self.rect.move(self.x * constants.TILESIZE, self.y * constants.TILESIZE) def debug_print(self): s = "(x,y): {},{}; kind:{}, species: {}, trigger: {}, image_filename: {}, rect: {}" s = s.format(self.x, self.y, self.kind, self.species, self.trigger, self.image_filename, self.rect) print(s) # ----------------------------------------------------------- # class Obstacles # ----------------------------------------------------------- class Obstacles: def __init__(self, zone_name, map_name): self.zone_name = zone_name self.map_name = map_name self.init_pygame() self.obstacles = [] self.loop_index = 0 self.keep_looping = True self.all_sprites = pygame.sprite.Group() def read_data(self): self._load_map() def _load_map(self): filename = "{}_obstacles.txt".format(self.map_name) filepath = os.path.join("data", "zones", self.zone_name, self.map_name, filename) print("Reading in obstacle map ...") print("zone: {}, map: {}".format(self.zone_name, self.map_name)) print("filepath for obstacle file: {}".format(filepath)) with open(filepath, "r") as f: mytiles = f.readlines() mytiles = [i.strip() for i in mytiles if len(i.strip()) > 0] mytiles = [i[3:] for i in mytiles[2:]] # ------------------------------------------------------------------ self.obstacles = [] for col, tiles in enumerate(mytiles): list_tiles = tiles.split(";") list_tiles = [i.strip() for i in list_tiles if len(i.strip()) > 0] for row, tile in enumerate(list_tiles): if tile == "w0": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "wall" mydict["species"] = 0 mydict["trigger"] = "" my_obstacle = Obstacle(mydict) self.obstacles.append(my_obstacle) elif tile == "s0": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "stove" mydict["species"] = 0 mydict["trigger"] = "" my_obstacle = Obstacle(mydict) self.obstacles.append(my_obstacle) elif tile == "l0": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "streetlamp" mydict["species"] = 0 mydict["trigger"] = "" my_obstacle = Obstacle(mydict) self.obstacles.append(my_obstacle) # print("obstacle (wall) tile added at x,y: ({},{})".format(row, col)) elif tile == "t0": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "table" mydict["species"] = 0 mydict["trigger"] = "" my_obstacle = Obstacle(mydict) self.obstacles.append(my_obstacle) elif tile == "t1": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "table" mydict["species"] = 1 mydict["trigger"] = "" my_obstacle = Obstacle(mydict) self.obstacles.append(my_obstacle) elif tile == "c0": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "counter" mydict["species"] = 0 mydict["trigger"] = "" my_obstacle = Obstacle(mydict) self.obstacles.append(my_obstacle) elif tile == "l1": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "streetlamp" mydict["species"] = 1 mydict["trigger"] = "" my_obstacle = Obstacle(mydict) self.obstacles.append(my_obstacle) elif tile == "f0": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "forest" mydict["species"] = 0 mydict["trigger"] = "" my_obstacle = Obstacle(mydict) self.obstacles.append(my_obstacle) elif tile == "m0": mydict = {} mydict["x"] = row mydict["y"] = col mydict["kind"] = "rocks" mydict["species"] = 0 mydict["trigger"] = "" my_obstacle = Obstacle(mydict) self.obstacles.append(my_obstacle) elif tile == "..": pass else: s = "Error! I don't recognize this: {}".format(tile) raise ValueError(s) def init_pygame(self): pygame.init() self.BG_COLOR = constants.BG_COLOR self.clock = pygame.time.Clock() pygame.display.set_caption("Enter {}".format(constants.TITLE)) self.screen = pygame.display.set_mode((constants.SCREEN_WIDTH, constants.SCREEN_HEIGHT)) self.font = pygame.font.Font(None, 40) # self.font = pygame.font.SysFont(constants.FONT_NAME, constants.FONT_SIZE) def collision(self, x, y): for a_tile in self.obstacles: if a_tile.kind == "empty": continue if a_tile.x == x: # print("tile y: {}, player y: {}".format(a_tile.y, y)) if a_tile.y == y: print("tile x,y: ({},{}), player x,y: ({},{})".format(a_tile.x, a_tile.y, x, y)) return True return False # -------------------------------------------------------- def handle_events(self): # catch all events here for event in pygame.event.get(): if event.type == pygame.QUIT: self.keep_looping = False return True if event.type == pygame.KEYDOWN: if event.key == pygame.K_ESCAPE: self.keep_looping = False return True else: print("I don't recognize this event.key in handle_events: {}".format(event.key)) # ------------------------------------------------------ def update_classes(self, all_sprites): for elem in self.obstacles: all_sprites.add(elem) return all_sprites def draw(self): self.screen.fill(self.BG_COLOR) self.update_classes(self.all_sprites) # ---- self.all_sprites.update() self.all_sprites.draw(self.screen) # ---- pygame.display.flip() def main(self): while self.keep_looping == True: self.handle_events() self.draw() # -------------------------------------------------------- def __len__(self): return len(self.obstacles) def __getitem__(self, item): return self.obstacles[item] def __next__(self): if self.loop_index >= len(self.obstacles): self.loop_index = 0 raise StopIteration else: this_value = self.obstacles[self.loop_index] self.loop_index += 1 return this_value def __iter__(self): return self def debug_print(self): for elem in self.obstacles: elem.debug_print() # ----------------------------------------------------------- # class Environment # ----------------------------------------------------------- class Environment: def __init__(self, zone_name, map_name): if zone_name is None or map_name is None: raise ValueError("Error!") if len(zone_name) == 0 or len(map_name) == 0: raise ValueError("Error!") self.zone_name = zone_name self.map_name = map_name # ---- self.init_pygame() # ---- self.zone_description = "" self.obstacles = Obstacles(self.zone_name, self.map_name) self.walkables = Walkables(self.zone_name, self.map_name) self.triggers = Triggers(self.zone_name, self.map_name) self.actions = Actions(self.zone_name, self.map_name) self.events = Events(self.zone_name, self.map_name) # self.triggers = None # ---- self.all_sprites = pygame.sprite.Group() self.keep_looping = True # def read_data(self): # filepath = os.path.join("data", "zones", self.zone_name, "zone_init.txt") # mylist = utils.read_data_file(filepath, 6) # mydict = mylist[0] # self.zone_description = mydict["zone_description"] # self.obstacles.read_data() # self.walkables.read_data() def read_data(self): self.walkables.read_data() self.obstacles.read_data() if not self.triggers is None: self.triggers.read_data() if not self.actions is None: self.actions.read_data() if not self.events is None: self.events.read_data() def init_pygame(self): pygame.init() self.BG_COLOR = constants.BG_COLOR self.clock = pygame.time.Clock() pygame.display.set_caption("Enter {}".format(constants.TITLE)) self.screen = pygame.display.set_mode((constants.SCREEN_WIDTH, constants.SCREEN_HEIGHT)) self.font = pygame.font.Font(None, 40) # self.font = pygame.font.SysFont(constants.FONT_NAME, constants.FONT_SIZE) def get_walkable_tile(self, x, y): # for a_tile in self.obstacles: # if a_tile.x == x: # if a_tile.y == y: # return a_tile for a_tile in self.walkables: if a_tile.x == x: if a_tile.y == y: return a_tile return None def handle_events(self): # catch all events here for event in pygame.event.get(): if event.type == pygame.QUIT: self.keep_looping = False return True if event.type == pygame.KEYDOWN: if event.key == pygame.K_ESCAPE: self.keep_looping = False return True # else: # print("I don't recognize this event.key in handle_events: {}".format(event.key)) def update_classes(self, all_sprites): all_sprites = self.obstacles.update_classes(all_sprites) all_sprites = self.walkables.update_classes(all_sprites) all_sprites = self.actions.update_classes(all_sprites) return all_sprites def draw(self): self.screen.fill(self.BG_COLOR) self.all_sprites = self.update_classes(self.all_sprites) # ---- self.all_sprites.update() self.all_sprites.draw(self.screen) # ---- pygame.display.flip() def main(self): self.clock.tick(constants.FRAME_RATE) while self.keep_looping == True: self.handle_events() self.draw() self.goodbye() self.myquit() def goodbye(self): print("Goodbye!") def myquit(self): pygame.quit() def debug_print(self): s = "zone_name: {}\nzone_description: {}" s = s.format(self.zone_name, self.zone_description) print(s) self.obstacles.debug_print() self.walkables.debug_print() # ************************************************************ def debug_obstacles(): myobstacles = Obstacles(zone_name, map_name) myobstacles.read_data() myobstacles.main() def debug_walkables(): myobstacles = Walkables(zone_name, map_name) myobstacles.read_data() myobstacles.main() def debug_environment(): myenv = Environment(zone_name, map_name) myenv.read_data() myenv.main() def debug_triggers(): mytriggers = Triggers(zone_name, map_name) mytriggers.read_data() mytriggers.debug_print() def debug_actions(zone_name, map_name): from graphics_fauna import Player myplayer = Player(player_name, zone_name, map_name) myplayer.read_data() myplayer.x = 3 myplayer.y = 2 myevents = Events(zone_name, map_name) myevents.read_data() # ---- myactions = Actions(zone_name, map_name) myactions.read_data() myactions.main() # myactions.conditions_passed(myplayer, myevents) def test_action(zone_name, map_name): x, y = 3, 2 x, y = 2, 2 # ---- myevents = Events(zone_name, map_name) myevents.read_data() # ---- from graphics_fauna import Player myplayer = Player(zone_name, map_name) myplayer.read_data() # ---- myactions = Actions(zone_name, map_name) myactions.read_data() myaction = myactions.get_action(x, y) if myaction is None: print("There is no actioin on tile: {},{}".format(x, y)) else: print("Action found:") myaction.debug_print() # ---- the_result = myaction.conditions_passed(myplayer.inventory, myevents) print("The result: {}".format(the_result)) # ---- print("####") myaction.debug_print() def debug_events(): myevents = Events(zone_name, map_name) myevents.read_data() myevents.debug_print() # if myevents.mark_game_condition_completed("conversation_with_random_completed") == False: # raise ValueError("Error!") # myevents.save_data() player_name = "henry" # zone_name = "swindon_pub_stub" # zone_name = "swindon" zone_name = "easthaven" map_name = "map00" if __name__ == "__main__": # debug_obstacles() # debug_walkables() debug_environment() # debug_triggers() # debug_actions(zone_name, map_name) # test_action(zone_name, map_name) # debug_events()

[ "[email protected]" ]

[email protected]

3fbbc5c0f26e5caddce1e220e7e5e9422ca33c8c

6b8366581101e183592ff5d65ba6c228223ef30d

/mp/tokenizer.py

086a0397d2c952e98301d843c4d9d4c387465260

[ "MIT" ]

permissive

BPI-STEAM/mpfshell-lite

a3af795502d20f990d2a084a106f3964beb94392

e603c2abb942bf45c18519883e1b72760c4db04f

refs/heads/master

2020-07-22T13:11:57.651653

2019-08-27T03:58:41

207,213,197

3

1

MIT

2019-09-09T03:06:46

null

UTF-8

Python

false

2,163

py

## # The MIT License (MIT) # # Copyright (c) 2016 Stefan Wendler # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. ## import re class Token(object): STR = "STR" QSTR = "QSTR" def __init__(self, kind, value=None): self._kind = kind self._value = value @property def kind(self): return self._kind @property def value(self): return self._value def __repr__(self): if isinstance(self.value, str): v = "'%s'" % self.value else: v = str(self.value) return "Token('%s', %s)" % (self.kind, v) class Tokenizer(object): def __init__(self): valid_fnchars = "A-Za-z0-9_%#~@/\$!\*\.\+\-\:\\\\" tokens = [ (r'[%s]+' % valid_fnchars, lambda scanner, token: Token(Token.STR, token)), (r'"[%s ]+"' % valid_fnchars, lambda scanner, token: Token(Token.QSTR, token[1:-1])), (r'[ ]', lambda scanner, token: None) ] self.scanner = re.Scanner(tokens) def tokenize(self, string): # print(string, self.scanner.scan(string)) return self.scanner.scan(string)

[ "[email protected]" ]

[email protected]

2eaff4c0a947d923f02ef3bdabca7291afd10e81

f518506fb620fd29a2db876c05de813508eda519

/Project19/manage.py

e4a8f6d8ec98276420722e54947fecad37d976b3

[]

no_license

Niharika3128/Django5-6

07435ae9088659e2d192cda60542aee5214e0637

be3055ca91da45c37f9ec1adb626eea335477746

refs/heads/master

2020-06-02T04:28:37.016405

2019-06-09T17:28:33

191,035,169

0

null

UTF-8

Python

false

541

py

#!/usr/bin/env python import os import sys if __name__ == '__main__': os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'Project19.settings') try: from django.core.management import execute_from_command_line except ImportError as exc: raise ImportError( "Couldn't import Django. Are you sure it's installed and " "available on your PYTHONPATH environment variable? Did you " "forget to activate a virtual environment?" ) from exc execute_from_command_line(sys.argv)

[ "[email protected]" ]

[email protected]

0315c96e5abc1d9431a14f6e69cc73e0f1086007

5864e86954a221d52d4fa83a607c71bacf201c5a

/eve/client/script/ui/station/lobby.py

23ab9fb309b4ecb67c73b5253ea850ec54d24f23

[]

no_license

connoryang/1v1dec

e9a2303a01e5a26bf14159112b112be81a6560fd

404f2cebf13b311e754d45206008918881496370

refs/heads/master

2021-05-04T02:34:59.627529

2016-10-19T08:56:26

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#Embedded file name: e:\jenkins\workspace\client_SERENITY\branches\release\SERENITY\eve\client\script\ui\station\lobby.py import blue from carbon.common.script.util.format import FmtAmt, CaseFoldCompare from carbonui.control.basicDynamicScroll import BasicDynamicScroll from carbonui.control.scrollentries import SE_BaseClassCore from carbonui.primitives.container import Container from carbonui.primitives.flowcontainer import FlowContainer from carbonui.primitives.frame import Frame from carbonui.primitives.line import Line from carbonui.primitives.sprite import Sprite from carbonui.util.various_unsorted import SortListOfTuples, NiceFilter from eve.client.script.ui.control.buttonGroup import ButtonGroup from eve.client.script.ui.control.buttons import BigButton, ToggleButtonGroup, ToggleButtonGroupButton, Button from eve.client.script.ui.control.entries import Get as GetListEntry from eve.client.script.ui.control.eveIcon import GetLogoIcon, CheckCorpID from eve.client.script.ui.control.eveLabel import CaptionLabel, EveLabelSmall, EveLabelMedium, Label from eve.client.script.ui.control.eveScroll import Scroll from eve.client.script.ui.control.eveWindow import Window from eve.client.script.ui.control.infoIcon import InfoIcon from eve.client.script.ui.control.tabGroup import TabGroup from eve.client.script.ui.control.themeColored import LineThemeColored from eve.client.script.ui.control.utilMenu import UtilMenu from eve.client.script.ui.quickFilter import QuickFilterEdit from eve.client.script.ui.station import stationServiceConst import log import sys from inventorycommon.util import IsNPC import uthread import carbonui.const as uiconst import localization import telemetry import collections import invCont import invCtrl import const import evegraphics.settings as gfxsettings from eve.client.script.ui.shared.inventory.invWindow import Inventory as InventoryWindow from utillib import KeyVal COLOR_UNDOCK = (0.75, 0.6, 0.0, 1.0) COLOR_CQ = (0.0, 0.713, 0.75, 1.0) MAX_CORP_DESC_LENGTH = 140 MAX_CORP_DESC_LINES = 1 BIGBUTTONSIZE = 48 SMALLBUTTONSIZE = 32 BUTTONGAP = 4 AGENTSPANEL = 'agentsPanel' GUESTSPANEL = 'guestsPanel' OFFICESPANEL = 'officesPanel' INVENTORYPANEL = 'inventoryPanel' class LobbyToggleButtonGroupButton(ToggleButtonGroupButton): @apply def displayRect(): fget = ToggleButtonGroupButton.displayRect.fget def fset(self, value): ToggleButtonGroupButton.displayRect.fset(self, value) self.label.width = uicore.ReverseScaleDpi(self.displayWidth) - 6 buttonHeight = uicore.ReverseScaleDpi(self.displayHeight) if self.label.textheight < buttonHeight: self.label.top = (buttonHeight - self.label.textheight) / 2 self.label.align = uiconst.CENTERTOP else: self.label.top = 0 self.label.align = uiconst.CENTER return property(**locals()) class CounterBox(Container): _number = 0 def ApplyAttributes(self, attributes): Container.ApplyAttributes(self, attributes) self.label = Label(parent=self, align=uiconst.CENTER, fontPath='res:/UI/Fonts/EveSansNeue-Expanded.otf', fontsize=10) Frame(bgParent=self, texturePath='res:/UI/Texture/Shared/counterFrame.png', cornerSize=8, offset=-1, color=(0.2, 0.2, 0.2, 1)) if 'text' in attributes: self.text = attributes.text else: self.display = False @apply def text(): def fget(self): return self._number def fset(self, value): self._number = value self.label.text = value self.width = max(14, self.label.textwidth + 8) self.height = max(14, self.label.textheight) if self.label.text: self.display = True else: self.display = False return property(**locals()) class Lobby(Window): __guid__ = 'form.Lobby' __notifyevents__ = ['OnCharNowInStation', 'OnCharNoLongerInStation', 'OnProcessStationServiceItemChange', 'OnAgentMissionChange', 'OnStandingSet', 'OnCorporationChanged', 'OnCorporationMemberChanged', 'OnPrimaryViewChanged', 'OnSetDevice'] default_windowID = 'lobby' default_top = 16 default_width = 223 default_captionLabelPath = 'UI/Station/StationServices' default_pinned = True undockCont = None undock_button_is_locked = False selectedGroupButtonID = None @staticmethod def default_height(*args): return uicore.desktop.height - 100 @staticmethod def default_left(*args): return uicore.desktop.width - Lobby.default_width - 16 def OnPrimaryViewChanged(self, oldViewInfo, newViewInfo): self.UpdateCQButton(newViewInfo.name) def OnSetDevice(self): bottom = self.top + self.height if bottom > uicore.desktop.height: self.height = max(self.default_minSize[1], uicore.desktop.height - self.top) right = self.left + self.width if right > uicore.desktop.width: self.width = max(self.default_minSize[0], uicore.desktop.width - self.left) def ApplyAttributes(self, attributes): self.viewState = sm.GetService('viewState') if not settings.user.ui.Get('stationservicebtns', 1): minWidth = BIGBUTTONSIZE + (BIGBUTTONSIZE + BUTTONGAP) * 3 + 14 minHeight = 495 else: minWidth = SMALLBUTTONSIZE + (SMALLBUTTONSIZE + BUTTONGAP) * 5 + 10 minHeight = 470 self.default_minSize = (minWidth, minHeight) Window.ApplyAttributes(self, attributes) self.stationSvc = sm.GetService('station') self.guestScroll = None self.sr.serviceAccessCache = {} self.SetWndIcon(None) self.HideHeader() self.scope = 'station' self.MakeUnKillable() self.MakeUnstackable() self.SetTopparentHeight(0) main = self.sr.main main.clipChildren = True self.corpLogoParent = Container(name='corpLogoParent', align=uiconst.TOTOP, height=160, parent=main) self.corpName = CaptionLabel(parent=main, align=uiconst.TOTOP, name='corpName', uppercase=False) self.undockparent = Container(name='undockparent', align=uiconst.TOTOP, height=78, parent=main) self.AddCQButton(parent=self.undockparent) self.AddUndockButton(parent=self.undockparent) EveLabelMedium(text=localization.GetByLabel('UI/Station/StationServices'), align=uiconst.TOTOP, parent=main, bold=True, padding=(6, 6, 6, 0)) self.serviceButtons = FlowContainer(name='serviceButtons', align=uiconst.TOTOP, parent=main, contentSpacing=(BUTTONGAP, BUTTONGAP), padding=(6, 6, 3, 6)) btnGroup = ToggleButtonGroup(name='btnGroup', parent=main, align=uiconst.TOTOP, height=32, padding=(6, 6, 6, 6), idx=-1, callback=self.OnButtonGroupSelection, autoHeight=True) self.mainButtonGroup = btnGroup self.guestsPanel = Container(name=GUESTSPANEL, parent=main, padding=const.defaultPadding) self.quickFilter = QuickFilterEdit(name='quickFilterEdit', parent=self.guestsPanel) self.quickFilter.ReloadFunction = lambda : self.ShowGuests() self.guestScroll = BasicDynamicScroll(parent=self.guestsPanel, padTop=const.defaultPadding + self.quickFilter.height) guestSettingsMenu = UtilMenu(menuAlign=uiconst.TOPRIGHT, parent=self.guestsPanel, align=uiconst.TOPRIGHT, GetUtilMenu=self.SettingMenu, texturePath='res:/UI/Texture/SettingsCogwheel.png', width=18, height=18, iconSize=18) self.userType = settings.user.ui.Get('guestCondensedUserList', False) self.agentsPanel = Container(name=AGENTSPANEL, parent=main, padding=const.defaultPadding) self.agentFinderBtn = Button(label=localization.GetByLabel('UI/AgentFinder/AgentFinder'), parent=self.agentsPanel, align=uiconst.CENTERTOP, func=uicore.cmd.OpenAgentFinder) self.agentScroll = Scroll(parent=self.agentsPanel, padTop=const.defaultPadding + self.agentFinderBtn.height) self.officesPanel = Container(name=OFFICESPANEL, parent=main, padding=const.defaultPadding) self.officesButtons = FlowContainer(name='officesButtons', align=uiconst.TOTOP, parent=self.officesPanel, contentSpacing=(4, 4), centerContent=True) self.officesScroll = Scroll(parent=self.officesPanel, padTop=const.defaultPadding) agentsButton = btnGroup.AddButton(AGENTSPANEL, '<center>' + localization.GetByLabel('UI/Station/Lobby/Agents'), self.agentsPanel, btnClass=LobbyToggleButtonGroupButton, hint=localization.GetByLabel('Tooltips/StationServices/AgentsTab_descrtiption')) agentsButton.name = 'stationInformationTabAgents' guestsButton = btnGroup.AddButton(GUESTSPANEL, '<center>' + localization.GetByLabel('UI/Station/Lobby/Guests'), self.guestsPanel, btnClass=LobbyToggleButtonGroupButton, hint=localization.GetByLabel('Tooltips/StationServices/GuestsTab_description')) guestsButton.counter = CounterBox(parent=guestsButton, align=uiconst.TOPRIGHT, left=2, top=-5) self.guestsButton = guestsButton btnGroup.AddButton(OFFICESPANEL, '<center>' + localization.GetByLabel('UI/Station/Lobby/Offices'), self.officesPanel, btnClass=LobbyToggleButtonGroupButton, hint=localization.GetByLabel('Tooltips/StationServices/OfficesTab_description')) activePanel = settings.user.ui.Get('stationsLobbyTabs', AGENTSPANEL) if settings.char.windows.Get('dockshipsanditems', 0): self.inventoryPanel = Container(name=INVENTORYPANEL, parent=main) self.sr.shipsContainer = Container(parent=self.inventoryPanel, state=uiconst.UI_HIDDEN, padding=const.defaultPadding) self.sr.itemsContainer = Container(parent=self.inventoryPanel, state=uiconst.UI_HIDDEN, padding=const.defaultPadding) tabs = [[localization.GetByLabel('UI/Station/Ships'), self.sr.shipsContainer, self, 'lobby_ships'], [localization.GetByLabel('UI/Station/Items'), self.sr.itemsContainer, self, 'lobby_items']] self.inventoryTabs = TabGroup(name='inventoryPanel', parent=self.inventoryPanel, idx=0) self.inventoryTabs.Startup(tabs, 'lobbyInventoryPanel', autoselecttab=True, UIIDPrefix='lobbyInventoryPanelTab') self.invButton = btnGroup.AddButton(INVENTORYPANEL, '<center>' + localization.GetByLabel('UI/Station/Lobby/Hangars'), self.inventoryPanel, btnClass=LobbyToggleButtonGroupButton, hint='<b>%s</b><br>%s' % (localization.GetByLabel('Tooltips/StationServices/Hangars'), localization.GetByLabel('Tooltips/StationServices/Hangars_description'))) elif activePanel == INVENTORYPANEL: activePanel = AGENTSPANEL btnGroup.SelectByID(activePanel) myDefaultView = 'hangar' if session.userid % 2 == 1 else 'station' curView = collections.namedtuple('FakeViewInfo', ['name'])(settings.user.ui.Get('defaultDockingView', myDefaultView)) self.OnPrimaryViewChanged(curView, curView) self.LoadOwnerInfo() self.LoadServiceButtons() if self.destroyed: return sm.RegisterNotify(self) self.UpdateGuestTabText() def OnButtonGroupSelection(self, buttonID): settings.user.ui.Set('stationsLobbyTabs', buttonID) self.selectedGroupButtonID = buttonID if buttonID == AGENTSPANEL: self.ShowAgents() elif buttonID == GUESTSPANEL: self.ShowGuests() elif buttonID == OFFICESPANEL: self.ShowOffices() elif buttonID == INVENTORYPANEL: if not len(self.sr.shipsContainer.children): self.LayoutShipsAndItems() def SettingMenu(self, menuParent): showCompact = settings.user.ui.Get('guestCondensedUserList', False) menuParent.AddCheckBox(text=localization.GetByLabel('UI/Chat/ShowCompactMemberList'), checked=bool(showCompact), callback=(self.ShowGuests, not showCompact)) def AddCQButton(self, parent): scale = 1.0 self.cqCont = Container(name='cqCont', align=uiconst.TOLEFT_PROP, width=0.5, parent=parent, state=uiconst.UI_PICKCHILDREN, padding=3) width = 63 * scale height = 34 * scale self.cqSpriteCont = Container(name='cq', align=uiconst.CENTERTOP, width=width, height=height, top=3, parent=self.cqCont, state=uiconst.UI_NORMAL) self.cqSprites = [] spacing = 30 * scale for i in xrange(3): s = Sprite(parent=self.cqSpriteCont, texturePath='res:/UI/Texture/classes/Lobby/{0}.png'.format(i + 1), align=uiconst.CENTERTOP, width=-width, height=height, left=0, state=uiconst.UI_DISABLED) s.color = COLOR_CQ self.cqSprites.insert(0, s) self.cqLabel = EveLabelMedium(parent=self.cqCont, align=uiconst.CENTERTOP, top=8 + height, width=100) self.UpdateCQButton() self.cqSpriteCont.OnClick = self.OnCQClicked self.cqSpriteCont.OnMouseEnter = self.OnCQMouseEnter self.cqSpriteCont.OnMouseExit = self.OnCQMouseExit def OnCQClicked(self, *args): self.OnCQMouseExit() for i, s in enumerate(self.cqSprites): uicore.animations.SpGlowFadeIn(s, glowColor=(0.8, 0.8, 0.1, 0.3), glowExpand=1, loops=1, duration=1.0, curveType=uiconst.ANIM_WAVE, timeOffset=(3 - i) * 0.1) if self.IsInCQ(): self.EnterHangar() else: self.EnterCQ() def OnCQMouseEnter(self, *args): self.AnimateCQSprites((0.8, 1, 1)) def OnCQMouseExit(self, *args): self.AnimateCQSprites(COLOR_CQ[:3]) def AnimateCQSprites(self, endColor): for i, s in enumerate(self.cqSprites): uicore.animations.SpColorMorphTo(s, startColor=(s.color.r, s.color.g, s.color.b), endColor=endColor, duration=0.1) def UpdateCQButton(self, viewName = None): isInCQ = False if viewName is not None: isInCQ = viewName == 'station' else: isInCQ = self.IsInCQ() if isInCQ: self.cqLabel.text = '<center>' + localization.GetByLabel('UI/Commands/EnterHangar') + '</center>' else: self.cqLabel.text = '<center>' + localization.GetByLabel('UI/Commands/EnterCQ') + '</center>' self.cqCont.height = self.cqLabel.height + self.cqSpriteCont.height + 6 def IsInCQ(self): viewStateSvc = sm.GetService('viewState') currentView = viewStateSvc.GetCurrentView() if currentView is not None and currentView.name == 'station': return True else: return False def AddUndockButton(self, parent): scale = 1.0 self.undockCont = Container(name='undockCont', align=uiconst.TORIGHT_PROP, width=0.5, parent=parent, state=uiconst.UI_PICKCHILDREN, padding=3) width = 63 * scale height = 34 * scale self.undockSpriteCont = Container(name='undock', align=uiconst.CENTERTOP, width=width, height=height, top=3, parent=self.undockCont, state=uiconst.UI_NORMAL) self.undockSprites = [] spacing = 30 * scale for i in xrange(3): s = Sprite(parent=self.undockSpriteCont, texturePath='res:/UI/Texture/classes/Lobby/{0}.png'.format(i + 1), align=uiconst.CENTERTOP, width=width, height=height, left=0, state=uiconst.UI_DISABLED) s.color = COLOR_UNDOCK self.undockSprites.append(s) self.undockLabel = EveLabelMedium(parent=self.undockCont, align=uiconst.CENTERTOP, top=8 + height, width=100) self.UpdateUndockButton() self.undockCont.height = self.undockLabel.height + height + 6 self.undockSpriteCont.OnClick = self.OnUndockClicked self.undockSpriteCont.OnMouseEnter = self.OnUndockMouseEnter self.undockSpriteCont.OnMouseExit = self.OnUndockMouseExit if self.undock_button_is_locked: self._DisableUndockButton() def OnUndockClicked(self, *args): if sm.GetService('station').PastUndockPointOfNoReturn(): return uthread.new(self.AttemptToUndock).context = 'UndockButtonThread' def LockCQButton(self): self.cqCont.opacity = 0.5 self.cqCont.state = uiconst.UI_DISABLED def UnlockCQButton(self): self.cqCont.opacity = 1.0 self.cqCont.state = uiconst.UI_NORMAL def _DisableUndockButton(self): if self.undockCont is not None: self.undockCont.opacity = 0.5 self.undockCont.state = uiconst.UI_DISABLED def _EnableUndockButton(self): if self.undockCont is not None: self.undockCont.opacity = 1.0 self.undockCont.state = uiconst.UI_NORMAL def LockUndockButton(self): self.undock_button_is_locked = True self._DisableUndockButton() def UnlockUndockButton(self): self.undock_button_is_locked = False self._EnableUndockButton() def AttemptToUndock(self): exiting = sm.GetService('station').Exit() if exiting: self.LockCQButton() def OnUndockMouseEnter(self, *args): self.AnimateUndockSprites((1, 1, 0.8)) def OnUndockMouseExit(self, *args): self.AnimateUndockSprites(COLOR_UNDOCK[:3]) def AnimateUndockSprites(self, endColor): if sm.GetService('station').PastUndockPointOfNoReturn(): return for i, s in enumerate(self.undockSprites): uicore.animations.SpColorMorphTo(s, startColor=(s.color.r, s.color.g, s.color.b), endColor=endColor, duration=0.1) def SetUndockProgress(self, undockProgress): if undockProgress is None: self.UpdateUndockButton() return i = int(undockProgress * 3) if i < 3: self.UpdateUndockButton() uicore.animations.SpGlowFadeIn(self.undockSprites[i], glowColor=(1.0, 1.0, 0.8, 0.2), glowExpand=1, loops=1, duration=0.2) else: self.undockLabel.text = '<center>' + localization.GetByLabel('UI/Station/UndockingConfirmed') + '</center>' for i, s in enumerate(self.undockSprites): uicore.animations.StopAllAnimations(s) s.glowColor = (0, 0, 0, 0) uicore.animations.SpColorMorphTo(s, startColor=(1, 0.8, 0), endColor=(1, 0, 0), loops=1000, duration=1, curveType=uiconst.ANIM_WAVE, timeOffset=i * 0.1 - 0.5, includeAlpha=False) uicore.animations.SpGlowFadeIn(s, glowColor=(1.0, 1.0, 0.8, 0.2), glowExpand=1, loops=1000, duration=1, curveType=uiconst.ANIM_WAVE, timeOffset=i * 0.1) def UpdateUndockButton(self): if self.stationSvc.exitingstation: self.undockLabel.text = '<center>' + localization.GetByLabel('UI/Station/AbortUndock') + '</center>' self.LockCQButton() else: self.undockLabel.text = '<center>' + localization.GetByLabel('UI/Neocom/UndockBtn') + '</center>' self.UnlockCQButton() def EnterCQ(self, *args): if self.viewState.HasActiveTransition(): return sm.GetService('cmd').CmdEnterCQ() def EnterHangar(self, *args): if self.viewState.HasActiveTransition(): return sm.GetService('cmd').CmdEnterHangar() def OnScale_(self, *args): return height = 0 for each in self.sr.main.children: if each.align in (uiconst.TOTOP, uiconst.TOBOTTOM): height += each.padTop + each.height + each.padBottom height += 160 self.SetMinSize([self.minsize[0], height]) def LayoutShipsAndItems(self): self.sr.itemsContainer.Flush() itemsContainer = invCont.StationItems(name='stationItems', parent=self.sr.itemsContainer, showControls=True, state=uiconst.UI_NORMAL) self.sr.shipsContainer.Flush() shipsContainer = invCont.StationShips(name='stationShips', parent=self.sr.shipsContainer, showControls=True, state=uiconst.UI_NORMAL) self.invButton.OnDropData = itemsContainer.OnDropData self.sr.itemsContainer.OnDropData = itemsContainer.OnDropData self.sr.shipsContainer.OnDropData = shipsContainer.OnDropData def OnProcessStationServiceItemChange(self, stationID, solarSystemID, serviceID, stationServiceItemID, isEnabled): if self.destroyed or stationID != eve.session.stationid: return for icon in self.serviceButtons.children: if hasattr(icon, 'stationServiceIDs') and serviceID in icon.stationServiceIDs: self.SetServiceButtonState(icon, [serviceID]) def OnAgentMissionChange(self, actionID, agentID, tutorialID = None): if self.selectedGroupButtonID == AGENTSPANEL: self.ShowAgents() def OnCorporationChanged(self, corpID, change): blue.pyos.synchro.Yield() self.LoadButtons() def OnStandingSet(self, fromID, toID, rank): if self.selectedGroupButtonID == AGENTSPANEL: self.ShowAgents() def SetServiceButtonState(self, button, serviceIDs): for serviceID in serviceIDs: currentstate = sm.GetService('station').GetServiceState(serviceID) if currentstate is not None: if self.sr.serviceAccessCache.has_key(serviceID): del self.sr.serviceAccessCache[serviceID] if not currentstate.isEnabled: button.Disable() button.serviceStatus = localization.GetByLabel('UI/Station/Lobby/Disabled') button.serviceEnabled = False else: button.Enable() button.serviceStatus = localization.GetByLabel('UI/Station/Lobby/Enabled') button.serviceEnabled = True def LoadServiceButtons(self): parent = self.serviceButtons parent.Flush() icon = None stationservicebtns = settings.user.ui.Get('stationservicebtns', 1) btnsize = BIGBUTTONSIZE if stationservicebtns: btnsize = SMALLBUTTONSIZE haveServices = self.GetCurrentStationServices() for service in reversed(haveServices): button = BigButton(parent=parent, width=btnsize, height=btnsize, name=service.name, align=uiconst.NOALIGN) button.Startup(btnsize, btnsize, iconOpacity=0.75) button.cmdStr = service.command button.stationServiceIDs = service.maskServiceIDs button.displayName = service.label button.OnClick = (self.OnSvcBtnClick, button) button.serviceStatus = localization.GetByLabel('UI/Station/Lobby/Enabled') button.serviceEnabled = True if hasattr(service, 'iconID'): button.SetTexturePath(service.iconID) else: button.SetTexturePath(service.texturePath) self.SetServiceButtonState(button, service.maskServiceIDs) button.LoadTooltipPanel = self.LoadServiceButtonTooltipPanel def GetCurrentStationServices(self): serviceMask = eve.stationItem.serviceMask haveServices = [] for serviceData in stationServiceConst.serviceData: if stationServiceConst.serviceIDAlwaysPresent in serviceData.maskServiceIDs: haveServices.append(serviceData) continue elif serviceMask & sum(serviceData.maskServiceIDs) > 0: if serviceData.name == 'navyoffices': if not sm.GetService('facwar').CheckStationElegibleForMilitia(): continue elif serviceData.name == 'securityoffice': if not sm.GetService('securityOfficeSvc').CanAccessServiceInStation(session.stationid2): continue haveServices.append(serviceData) return haveServices def LoadServiceButtonTooltipPanel(self, tooltipPanel, tooltipOwner, *args): tooltipPanel.LoadGeneric3ColumnTemplate() command = uicore.cmd.commandMap.GetCommandByName(tooltipOwner.cmdStr) tooltipPanel.AddCommandTooltip(command) if not tooltipOwner.serviceEnabled: tooltipPanel.AddLabelMedium(text=localization.GetByLabel('UI/Station/Lobby/Disabled'), color=(1, 0, 0, 1), bold=True, colSpan=tooltipPanel.columns) def OnSvcBtnClick(self, btn, *args): self.CheckCanAccessService(btn.name) sm.GetService('station').LoadSvc(btn.name) def CheckCanAccessService(self, serviceName): for serviceData in stationServiceConst.serviceData: if serviceData.name == serviceName: corpStationMgr = None now = blue.os.GetWallclockTime() for stationServiceID in serviceData.maskServiceIDs: doCheck = 1 time, result = (None, None) if self.sr.serviceAccessCache.has_key(stationServiceID): time, result = self.sr.serviceAccessCache[stationServiceID] if time + const.MIN * 5 > now: doCheck = 0 if doCheck: if corpStationMgr is None: corpStationMgr = sm.GetService('corp').GetCorpStationManager() try: corpStationMgr.DoStandingCheckForStationService(stationServiceID) self.sr.serviceAccessCache[stationServiceID] = (now, None) except Exception as e: self.sr.serviceAccessCache[stationServiceID] = (now, e) sys.exc_clear() time, result = self.sr.serviceAccessCache[stationServiceID] if result is not None: raise result def LoadButtons(self): if self.destroyed: return btns = [] officeExists = sm.GetService('corp').GetOffice() is not None canRent = session.corprole & const.corpRoleCanRentOffice == const.corpRoleCanRentOffice canMove = session.corprole & const.corpRoleDirector == const.corpRoleDirector if canRent and not officeExists: rentLabel = localization.GetByLabel('UI/Station/Lobby/RentOffice') btns.append([rentLabel, self.RentOffice, None]) if canMove and officeExists: btns.append([localization.GetByLabel('UI/Station/Hangar/UnrentOffice'), self.UnrentOffice, None]) if canMove: isHQHere = sm.GetService('corp').GetCorporation().stationID == session.stationid2 if not isHQHere: hqLabel = localization.GetByLabel('UI/Station/Lobby/MoveHeadquartersHere') btns.append([hqLabel, self.SetHQ, None]) if not officeExists and sm.GetService('corp').HasCorpImpoundedItemsAtStation(): btns.append([localization.GetByLabel('UI/Inventory/ReleaseItems'), self.ReleaseImpoundedItems, None]) if sm.GetService('corp').DoesCharactersCorpOwnThisStation(): mgmtLabel = localization.GetByLabel('UI/Station/Lobby/StationManagement') btns.append([mgmtLabel, self.OpenStationManagement, None]) if self.destroyed: return self.officesButtons.Flush() for label, func, args in btns: Button(parent=self.officesButtons, label=label, func=func, args=args, align=uiconst.NOALIGN) def ReleaseImpoundedItems(self, *args): corpStationMgr = sm.GetService('corp').GetCorpStationManager() cost = corpStationMgr.GetQuoteForGettingCorpJunkBack() if eve.Message('CrpJunkAcceptCost', {'cost': FmtAmt(cost)}, uiconst.YESNO) != uiconst.ID_YES: return corpStationMgr.PayForReturnOfCorpJunk(cost) sm.GetService('corp').hasImpoundedItemsCacheTime = None self.LoadButtons() def UnrentOffice(self, *args): items = invCtrl.StationCorpHangar(divisionID=None).GetItems() asked = False if len([ item for item in items if item.ownerID == session.corpid ]): asked = True if eve.Message('crpUnrentOfficeWithContent', {}, uiconst.YESNO) != uiconst.ID_YES: return if not asked: if eve.Message('crpUnrentOffice', {}, uiconst.YESNO) != uiconst.ID_YES: return corpStationMgr = sm.GetService('corp').GetCorpStationManager() sm.GetService('corp').hasImpoundedItemsCacheTime = None corpStationMgr.CancelRentOfOffice() def OpenStationManagement(self, *args): uthread.new(uicore.cmd.OpenStationManagement) def LoadOwnerInfo(self): parent = self.corpLogoParent parent.Flush() corpID = eve.stationItem.ownerID size = 128 if CheckCorpID(corpID) else 64 logo = GetLogoIcon(itemID=corpID, parent=parent, acceptNone=False, state=uiconst.UI_DISABLED, pos=(0, 8, size, size), align=uiconst.CENTERTOP) InfoIcon(typeID=const.typeCorporation, itemID=corpID, left=const.defaultPadding, top=20, align=uiconst.TOPRIGHT, parent=parent, idx=0) self.corpLogoParent.height = logo.top + logo.height if not CheckCorpID(corpID): self.corpName.text = '<center>' + cfg.eveowners.Get(corpID).name self.corpName.display = True else: self.corpName.display = False def ImVisible(self): return bool(self.state != uiconst.UI_HIDDEN and not self.IsCollapsed() and not self.IsMinimized()) def Load(self, key): pass @telemetry.ZONE_METHOD def OnCharNowInStation(self, rec): if self.destroyed or not session.stationid2: return self.UpdateGuestTabText() if self.selectedGroupButtonID == GUESTSPANEL: charID, corpID, allianceID, warFactionID = rec cfg.eveowners.Prime([charID]) if self.destroyed: return newcharinfo = cfg.eveowners.Get(charID) idx = 0 for each in self.guestScroll.GetNodes(): if each.charID == charID: return if CaseFoldCompare(each.info.name, newcharinfo.name) > 0: break idx += 1 filteredGuest = None guestFilter = self.quickFilter.GetValue() if len(guestFilter): filteredGuest = NiceFilter(self.quickFilter.QuickFilter, newcharinfo.name) if filteredGuest or len(guestFilter) == 0: entry = GetListEntry(self.userEntry, {'charID': charID, 'info': newcharinfo, 'label': newcharinfo.name, 'corpID': corpID, 'allianceID': allianceID, 'warFactionID': warFactionID}) self.guestScroll.AddNodes(idx, [entry]) @telemetry.ZONE_METHOD def OnCharNoLongerInStation(self, rec): if self.destroyed or not session.stationid2: return self.UpdateGuestTabText() charID, corpID, allianceID, warFactionID = rec if self.selectedGroupButtonID == GUESTSPANEL: for entry in self.guestScroll.GetNodes(): if entry.charID == charID: self.guestScroll.RemoveNodes([entry]) return def ShowGuests(self, condensed = None, *args): if self.selectedGroupButtonID != GUESTSPANEL: return if condensed is not None: settings.user.ui.Set('guestCondensedUserList', condensed) self.SetGuestEntryType() guests = sm.GetService('station').GetGuests() ownerIDs = guests.keys() cfg.eveowners.Prime(ownerIDs) guestFilter = self.quickFilter.GetValue() if len(guestFilter): filterData = [ KeyVal(name=cfg.eveowners.Get(charID).name, charID=charID) for charID in ownerIDs ] filterGuests = NiceFilter(self.quickFilter.QuickFilter, filterData) ownerIDs = [ each.charID for each in filterGuests ] if self.destroyed: return scrolllist = [] for charID in ownerIDs: if charID not in guests: continue corpID, allianceID, warFactionID = guests[charID] charinfo = cfg.eveowners.Get(charID) scrolllist.append((charinfo.name.lower(), GetListEntry(self.userEntry, {'charID': charID, 'info': charinfo, 'label': charinfo.name, 'corpID': corpID, 'allianceID': allianceID, 'warFactionID': warFactionID}))) scrolllist = SortListOfTuples(scrolllist) self.guestScroll.Clear() self.guestScroll.AddNodes(0, scrolllist) self.UpdateGuestTabText() def UpdateGuestTabText(self): numGuests = len(sm.GetService('station').GetGuests()) self.guestsButton.counter.text = numGuests def SetGuestEntryType(self): if settings.user.ui.Get('guestCondensedUserList', False): self.userEntry = 'ChatUserSimple' else: self.userEntry = 'User' def ShowAgents(self): try: agentsSvc = sm.GetService('agents') journalSvc = sm.GetService('journal') facWarSvc = sm.StartService('facwar') standingSvc = sm.StartService('standing') epicArcStatusSvc = sm.RemoteSvc('epicArcStatus') if self.selectedGroupButtonID != AGENTSPANEL: return agentMissions = journalSvc.GetMyAgentJournalDetails()[:1][0] agentsInStation = agentsSvc.GetAgentsByStationID()[session.stationid2] relevantAgents = [] missionStateDict = {} for each in agentMissions: missionState, importantMission, missionType, missionName, agentID, expirationTime, bookmarks, remoteOfferable, remoteCompletable, contentID = each agent = agentsSvc.GetAgentByID(agentID) missionStateDict[agentID] = missionState if missionState not in (const.agentMissionStateAllocated, const.agentMissionStateOffered) or agent.agentTypeID in (const.agentTypeGenericStorylineMissionAgent, const.agentTypeStorylineMissionAgent, const.agentTypeEventMissionAgent, const.agentTypeCareerAgent, const.agentTypeEpicArcAgent): relevantAgents.append(agentID) localRelevantAgents = [] for agent in agentsInStation: if agent.agentID in relevantAgents: localRelevantAgents.append(agent.agentID) if self.destroyed: return scrolllist = [] sortlist = [] for agentID in relevantAgents: if not eve.rookieState or agentID in const.rookieAgentList: if agentID not in localRelevantAgents: missionState = missionStateDict.get(agentID) sortlist.append((cfg.eveowners.Get(agentID).name, GetListEntry('AgentEntry', {'charID': agentID, 'missionState': missionState}))) if sortlist: agentLabel = localization.GetByLabel('UI/Station/Lobby/AgentsOfInterest') scrolllist.append(GetListEntry('Header', {'label': agentLabel})) scrolllist += SortListOfTuples(sortlist) unavailableAgents = [] availableAgents = [] for agent in agentsInStation: if agent.agentID in const.rookieAgentList: continue if not eve.rookieState or agent.agentID in const.rookieAgentList: isLimitedToFacWar = False if agent.agentTypeID == const.agentTypeFactionalWarfareAgent and facWarSvc.GetCorporationWarFactionID(agent.corporationID) != session.warfactionid: isLimitedToFacWar = True if agent.agentTypeID in (const.agentTypeResearchAgent, const.agentTypeBasicAgent, const.agentTypeEventMissionAgent, const.agentTypeCareerAgent, const.agentTypeFactionalWarfareAgent): standingIsValid = standingSvc.CanUseAgent(agent.factionID, agent.corporationID, agent.agentID, agent.level, agent.agentTypeID) haveMissionFromAgent = agent.agentID in relevantAgents if not isLimitedToFacWar and (standingIsValid or haveMissionFromAgent): availableAgents.append(agent.agentID) else: unavailableAgents.append(agent.agentID) elif agent.agentTypeID == const.agentTypeEpicArcAgent: standingIsValid = standingSvc.CanUseAgent(agent.factionID, agent.corporationID, agent.agentID, agent.level, agent.agentTypeID) haveMissionFromAgent = agent.agentID in relevantAgents epicAgentAvailable = False if haveMissionFromAgent: epicAgentAvailable = True elif standingIsValid: if agent.agentID in relevantAgents or epicArcStatusSvc.AgentHasEpicMissionsForCharacter(agent.agentID): epicAgentAvailable = True if epicAgentAvailable: availableAgents.append(agent.agentID) else: unavailableAgents.append(agent.agentID) if agent.agentTypeID == const.agentTypeAura: if sm.GetService('experimentClientSvc').IsTutorialEnabled(): availableAgents.append(agent.agentID) elif agent.agentTypeID in (const.agentTypeGenericStorylineMissionAgent, const.agentTypeStorylineMissionAgent): if agent.agentID in localRelevantAgents: availableAgents.append(agent.agentID) else: unavailableAgents.append(agent.agentID) if availableAgents: availableLabel = localization.GetByLabel('UI/Station/Lobby/AvailableToYou') scrolllist.append(GetListEntry('Header', {'label': availableLabel})) sortlist = [] for agentID in availableAgents: missionState = missionStateDict.get(agentID) sortlist.append((cfg.eveowners.Get(agentID).name, GetListEntry('AgentEntry', {'charID': agentID, 'missionState': missionState}))) scrolllist += SortListOfTuples(sortlist) if unavailableAgents: unavailableLabel = localization.GetByLabel('UI/Station/Lobby/NotAvailableToYou') scrolllist.append(GetListEntry('Header', {'label': unavailableLabel})) sortlist = [] for agentID in unavailableAgents: missionState = missionStateDict.get(agentID) sortlist.append((cfg.eveowners.Get(agentID).name, GetListEntry('AgentEntry', {'charID': agentID, 'missionState': missionState}))) scrolllist += SortListOfTuples(sortlist) if self.destroyed: return self.agentScroll.Load(fixedEntryHeight=40, contentList=scrolllist) except: log.LogException() sys.exc_clear() def InteractWithAgent(self, agentID, *args): sm.StartService('agents').InteractWith(agentID) def SetHQ(self, *args): if sm.GetService('godma').GetType(eve.stationItem.stationTypeID).isPlayerOwnable == 1: raise UserError('CanNotSetHQAtPlayerOwnedStation') if eve.Message('MoveHQHere', {}, uiconst.YESNO) == uiconst.ID_YES: sm.GetService('corp').GetCorpStationManager().MoveCorpHQHere() def RentOffice(self, *args): if not self.sr.Get('isRentOfficeOpening') or not self.sr.isRentOfficeOpening: self.sr.isRentOfficeOpening = 1 try: cost = sm.GetService('corp').GetCorpStationManager().GetQuoteForRentingAnOffice() if eve.Message('AskPayOfficeRentalFee', {'cost': cost, 'duration': const.rentalPeriodOffice * const.DAY}, uiconst.YESNO) == uiconst.ID_YES: officeID = sm.GetService('corp').GetCorpStationManager().RentOffice(cost) if officeID: office = sm.GetService('corp').GetOffice() invCache = sm.GetService('invCache') invCache.InvalidateLocationCache(officeID) if office is not None: folder = invCache.GetInventoryFromId(office.officeFolderID, locationID=session.stationid2) folder.List() wnd = InventoryWindow.GetIfOpen() if not wnd: InventoryWindow.OpenOrShow() uthread.new(self.LoadButtons) if self.selectedGroupButtonID == OFFICESPANEL: self.ShowOffices() finally: self.sr.isRentOfficeOpening = 0 def ShowShips(self): if self.sr.shipsContainer is None: return self.mainButtonGroup.SelectByID(INVENTORYPANEL) self.inventoryTabs.ShowPanel(self.sr.shipsContainer) def ShowItems(self): if self.sr.itemsContainer is None: return self.mainButtonGroup.SelectByID(INVENTORYPANEL) self.inventoryTabs.ShowPanel(self.sr.itemsContainer) def ReloadOfficesIfVisible(self): if self.selectedGroupButtonID == OFFICESPANEL: self.ShowOffices() def ShowOffices(self): if self.selectedGroupButtonID != OFFICESPANEL: return self.LoadButtons() corpsWithOffices = sm.GetService('corp').GetCorporationsWithOfficesAtStation() cfg.corptickernames.Prime([ c.corporationID for c in corpsWithOffices ]) scrolllist = [] for corp in corpsWithOffices: data = KeyVal() data.corpName = corp.corporationName data.corpID = corp.corporationID data.corporation = corp scrolllist.append((data.corpName.lower(), GetListEntry('OfficeEntry', data=data))) scrolllist = SortListOfTuples(scrolllist) numUnrentedOffices = self.GetNumberOfUnrentedOffices() availOfficesLabel = localization.GetByLabel('UI/Station/Lobby/NumAvailableOffices', numOffices=numUnrentedOffices) scrolllist.insert(0, GetListEntry('Header', {'label': availOfficesLabel})) if not self.destroyed: self.officesScroll.Load(contentList=scrolllist) def GetNumberOfUnrentedOffices(self): return sm.GetService('corp').GetCorpStationManager().GetNumberOfUnrentedOffices() def OnCorporationMemberChanged(self, corporationID, memberID, change): if memberID == session.charid: self.LoadButtons() def StopAllBlinkButtons(self): for each in self.serviceButtons.children: if hasattr(each, 'Blink'): each.Blink(0) def BlinkButton(self, whatBtn): for each in self.serviceButtons.children: if each.name.lower() == whatBtn.lower(): each.Blink(blinks=40) class OfficeEntry(SE_BaseClassCore): __guid__ = 'listentry.OfficeEntry' def Startup(self, *args): self.Flush() main = Container(parent=self, align=uiconst.TOTOP, height=30, state=uiconst.UI_PICKCHILDREN) left = Container(parent=main, align=uiconst.TOLEFT, width=50, state=uiconst.UI_PICKCHILDREN) icon = Container(parent=left, align=uiconst.TOPLEFT, width=32, height=32, left=3, top=3, state=uiconst.UI_PICKCHILDREN) par = Container(parent=main, align=uiconst.TOTOP, height=17, state=uiconst.UI_PICKCHILDREN) label = localization.GetByLabel('UI/Station/Lobby/CorpName') fieldName = 'corpName' l = EveLabelSmall(text=label, parent=par, left=5, top=2, state=uiconst.UI_DISABLED) t = EveLabelMedium(text='', parent=par, left=5, state=uiconst.UI_NORMAL) setattr(self.sr, fieldName + '_Label', l) setattr(self.sr, fieldName + '_Text', t) setattr(self.sr, fieldName, par) LineThemeColored(parent=self, align=uiconst.TOBOTTOM) self.sr.buttonCnt = Container(parent=self, align=uiconst.TOTOP, height=25, state=uiconst.UI_HIDDEN) self.sr.icon = icon self.sr.main = main self.sr.infoicon = InfoIcon(left=32, top=3, parent=left, idx=0) def Load(self, node): self.sr.node = node data = node self.sr.infoicon.UpdateInfoLink(const.typeCorporation, data.corpID) mainHeight = 0 fieldName = 'corpName' infofield = self.sr.Get(fieldName, None) fieldText = self.sr.Get(fieldName + '_Text', None) fieldLabel = self.sr.Get(fieldName + '_Label', None) fieldText.text = data.Get(fieldName, '') fieldText.top = fieldLabel.textheight infofield.height = fieldText.top + fieldText.textheight + 2 if infofield.state != uiconst.UI_HIDDEN: mainHeight += infofield.height self.sr.main.height = mainHeight + 10 self.sr.icon.Flush() def LogoThread(): if not self.destroyed: GetLogoIcon(itemID=data.corpID, parent=self.sr.icon, acceptNone=False, align=uiconst.TOALL) uthread.new(LogoThread) self.sr.buttonCnt.Flush() if not IsNPC(node.corpID): buttonEntries = [] if eve.session.corpid != node.corpID: if sm.GetService('corp').GetActiveApplication(node.corpID) is not None: applyLabel = localization.GetByLabel('UI/Corporations/CorpApplications/ViewApplication') else: applyLabel = localization.GetByLabel('UI/Corporations/CorporationWindow/Alliances/Rankings/ApplyToJoin') buttonEntries.append((applyLabel, sm.GetService('corp').ApplyForMembership, (node.corpID,), 80)) if len(buttonEntries) > 0: self.sr.buttonCnt.state = uiconst.UI_PICKCHILDREN self.sr.buttons = ButtonGroup(btns=buttonEntries, parent=self.sr.buttonCnt, unisize=0, line=0) self.sr.buttons.top -= 1 else: self.sr.buttonCnt.state = uiconst.UI_PICKCHILDREN else: self.sr.buttonCnt.state = uiconst.UI_HIDDEN def GetHeight(self, *args): node, width = args height = 2 lw, lh = EveLabelSmall.MeasureTextSize(text=localization.GetByLabel('UI/Station/Lobby/CorpName')) tw, th = EveLabelMedium.MeasureTextSize(text=node.corpName) multiplier = 1 height += (lh + th + 15) * multiplier height += 5 if not IsNPC(node.corpID) and eve.session.corpid != node.corpID: height += 30 node.height = height return node.height

[ "[email protected]" ]

[email protected]

1fced1f8cce087c0bbfdd61d98a7820b2eeef5ec

419637376e445ec9faf04c877d5fb6c09d15903f

/steam/user/order/userCancelOrderActivityTest.py

76c1e3a715c556e511a7af0fd3bc03f9bc9ddcd7

[]

no_license

litaojun/steamOmTest

e4203df30acafaa5e282631d77429c0e4483fb88

86f84dbd802d947198823e02c2f1ba2695418a76

refs/heads/master

2020-04-02T21:48:55.115389

2019-07-11T06:08:27

154,812,217

0

null

UTF-8

Python

false

2,340

py

#!/usr/bin/env python # encoding: utf-8 """ @version: v1.0 @author: Lieb @license: Apache Licence @contact: [email protected] @site: http://blog.csdn.net/hqzxsc2006 @software: PyCharm @file: userCancelOrderActivityTest.py @time: 2018/7/11 10:09 """ from steam.util.steamLog import SteamTestCase from opg.bak.testcaseRunMgr import runTestOneCls from steam.user.member.memberAddressService import MemberAddressService from steam.user.order.userCancelOrderActivityService import UserCancelOrderActivityService from steam.user.order.userOrederActivityService import UserOrderActivityService from steam.user.weixin.userViewActivityService import UserViewActivityService from steam.user.search.weixinSearchService import WeixinSearchService from steam.util.testJsonFormat import initInputService class UserCancelOrderActivityTest(SteamTestCase): ''' 取消点赞 ''' __interfaceName__ = "/order-service/order/cancel" @initInputService( services = [ WeixinSearchService , UserViewActivityService , MemberAddressService , UserOrderActivityService ] , curser = UserCancelOrderActivityService ) def __init__(self, methodName='runTest', param=None): super(UserCancelOrderActivityTest,self).__init__(methodName,param) # def userCancelOrderActivity(self): # userCancelOrderRsp = self.myservice.userCancelOrderActivity() # retcode = self.myservice.getRetcodeByOrderRsp(response=userCancelOrderRsp) # self.assertTrue(retcode == self.expectdata["code"]) if __name__ == "__main__": kwarg = { "memberId": "09c1316f-b304-46b1-96ff-c9ebbd93a617" , "resourceTypeId":12 , "title":"早鸟价！呼伦贝尔｜私家牧场任你驰骋策马，原始森林徒步猎奇" , "skuName":"价格（成人）" , "skuId":1 , "resourceId":1 } runTestOneCls( casefilepath = "\\steamcase\\user\\order-serviceordercancels.yml", testclse = UserCancelOrderActivityTest )

[ "[email protected]" ]

[email protected]

aefe209940bc4b34c6bc1de86f72876bf4394890

4838552992476399d0452a92d0a38aa9b8b29c63

/books/serializers.py

9bcac01e22850c80eaea8102c4e89f7fa859d736

[]

no_license

sannycand/books

16cee4d0f8c1a1a4a52108fd0403c258620e146a

593d77ccd1f4b68be0a5ed44adb495c034bea2a1

refs/heads/develop

2020-04-05T13:31:09.296128

2017-06-20T01:59:53

94,852,739

0

null

2017-06-20T05:23:40

null

UTF-8

Python

false

412

py

from rest_framework import serializers from .models import Book, Review class BookSerializer(serializers.ModelSerializer): """ book serializer """ reviews = serializers.SerializerMethodField() class Meta: model = Book fields = ('__all__') def get_reviews(self, instance): return Review.objects.filter(book=instance) \ .values_list('id', flat=True)

[ "[email protected]" ]

[email protected]

3b4b6347e2535618b4e084f8032df2acc602fed0

e2de3f6fe4373f1d98b67af61dd558a813250d54

/Algorithm/baekjoon/11726_2xn타일링.py

b6bc38b1ab6cf1a8f42e411b2e97006abbff0e4d

[]

no_license

Hansung-Lee/TIL

3fd6d48427a8b24f7889116297143855d493535b

c24ebab8b631f5c1b835fdc8bd036acbebc8d187

refs/heads/master

2020-04-14T11:18:54.035863

2019-04-05T07:26:55

163,810,436

0

null

UTF-8

Python

false

105

py

N = int(input()) li = [0,1,2,3] for n in range(N-3): li.append(li[-1] + li[-2]) print(li[N]%10007)

[ "[email protected]" ]

[email protected]

7a74b09d2af23b609529ac816704e8a2d47f99c9

efae79bc4b6771191c612b121a420f898356ae77

/tests/_support/py_conf/fabfile.py

502c718f919618cab02d64fcbad3831bad9e585f

[ "BSD-2-Clause" ]

permissive

WinstonN/fabric

bd0d7c432d22501022495663a1ee3a385c9b045a

34edfe4a1cc9e3d72c3cc41490673db29afe7bbb

refs/heads/2.0

2020-12-22T17:03:27.644562

2020-01-10T21:20:58

236,866,877

0

BSD-2-Clause

2020-01-30T05:06:49

2020-01-28T23:40:23

null

UTF-8

Python

true

false

92

py

from invoke import task @task def expect_conf_value(c): assert c.it_came_from == "py"

[ "[email protected]" ]

[email protected]

d92958e24ff62b6981e69327f0d73818051e91d6

15f321878face2af9317363c5f6de1e5ddd9b749

/solutions_python/Problem_135/3035.py

cf3cfe0ebd3b61e847863f968039e9fe32db8586

[]

no_license

dr-dos-ok/Code_Jam_Webscraper

c06fd59870842664cd79c41eb460a09553e1c80a

26a35bf114a3aa30fc4c677ef069d95f41665cc0

refs/heads/master

2020-04-06T08:17:40.938460

2018-10-14T10:12:47

null

0

null

UTF-8

Python

false

656

py

#! /usr/bin/env python T = int(raw_input()) t = 1 while t <= T: a = int(raw_input()) i = 0 while i < a-1: raw_input() i += 1 r1 = set(raw_input().split(" ")) while i < 3: raw_input() i += 1 a = int(raw_input()) i = 0 while i < a-1: raw_input() i += 1 r2 = set(raw_input().split(" ")) c = r1.intersection(r2) lc = len(c) if lc == 1: print "Case #%s: %s"%(t, c.pop()) elif lc == 0: print "Case #%s: Volunteer cheated!" % t else: print "Case #%s: Bad magician!" % t while i < 3: raw_input() i += 1 t += 1

[ "[email protected]" ]

[email protected]