xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

5f82b5728f8bd34310fc6e8a05849f16ad49be97

48

py

Python

my_classes/Tuples/.history/coloruser_20210724211229.py

minefarmer/deep-Dive-1

b0675b853180c5b5781888266ea63a3793b8d855

[ "Unlicense" ]

null

my_classes/Tuples/.history/coloruser_20210724211229.py

minefarmer/deep-Dive-1

b0675b853180c5b5781888266ea63a3793b8d855

[ "Unlicense" ]

null

my_classes/Tuples/.history/coloruser_20210724211229.py

minefarmer/deep-Dive-1

b0675b853180c5b5781888266ea63a3793b8d855

[ "Unlicense" ]

null

import colorsfrom colors import random colorsys

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5f8c580b5f4b734e3f64352208635fddd9652d01

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py

Python

Functions/NameFunction.py

JaydenL33/ReLearningPython

60d54172eefb29f285ca8976350010829d312a16

[ "MIT" ]

null

Functions/NameFunction.py

JaydenL33/ReLearningPython

60d54172eefb29f285ca8976350010829d312a16

[ "MIT" ]

null

Functions/NameFunction.py

JaydenL33/ReLearningPython

60d54172eefb29f285ca8976350010829d312a16

[ "MIT" ]

null

def name_print(name): print('The name entered is ' + name + " and it is " + str(len(name)) + " chars long") name_print('alice')

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5fc5dbe4423f07acbd337dd7daace6ae81d0a1b2

394

py

Python

docproduct/__init__.py

lordofprograms/DocProduct

8c365404d2a0b717f506c2d32f0bb9a9a0a13220

[ "MIT" ]

null

docproduct/__init__.py

lordofprograms/DocProduct

8c365404d2a0b717f506c2d32f0bb9a9a0a13220

[ "MIT" ]

null

docproduct/__init__.py

lordofprograms/DocProduct

8c365404d2a0b717f506c2d32f0bb9a9a0a13220

[ "MIT" ]

null

from docproduct.train_data_to_embedding import train_data_to_embedding from docproduct.train_ffn import train_ffn from docproduct.train_bertffn import train_bertffn from docproduct import tokenization from docproduct import loss from docproduct import metrics from docproduct import dataset from docproduct import models from docproduct import predictor from docproduct import mqa_load_dataset

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395d7d256ed8fa4f0021c1a62b08969f3af10802

16

py

Python

coverage-3.7.1/tests/farm/html/src/m3.py

I-Valchev/UrPas

7babb5208fab6975891fba440e633cc9ad6e8718

[ "Apache-2.0" ]

1

2015-03-04T09:00:44.000Z

coverage-3.7.1/tests/farm/html/src/m3.py

I-Valchev/UrPas

7babb5208fab6975891fba440e633cc9ad6e8718

[ "Apache-2.0" ]

null

coverage-3.7.1/tests/farm/html/src/m3.py

I-Valchev/UrPas

7babb5208fab6975891fba440e633cc9ad6e8718

[ "Apache-2.0" ]

null

m3a = 1 m3b = 2

5.333333

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null

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5

3964d06fec8fe5f6090f4e43ab912005d1027471

145

py

Python

snippets/python/django/urls/csrf_view.py

c6401/Snippets

a88d97005658eeda99f1a2766e3d069a64e142cb

[ "MIT" ]

null

snippets/python/django/urls/csrf_view.py

c6401/Snippets

a88d97005658eeda99f1a2766e3d069a64e142cb

[ "MIT" ]

null

snippets/python/django/urls/csrf_view.py

c6401/Snippets

a88d97005658eeda99f1a2766e3d069a64e142cb

[ "MIT" ]

null

from django.middleware.csrf import get_token from django.http import JsonResponse url(r'^csrf', lambda r: JsonResponse({'csrf': get_token(r)})),

36.25

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5

3968a9d7cae1292ae8c65255f89a6b5a838b4b44

151

py

Python

problems/count_the_monkeys.py

stereoabuse/codewars

d6437afaef38c3601903891b8b9cb0f84c108c54

[ "MIT" ]

null

problems/count_the_monkeys.py

stereoabuse/codewars

d6437afaef38c3601903891b8b9cb0f84c108c54

[ "MIT" ]

null

problems/count_the_monkeys.py

stereoabuse/codewars

d6437afaef38c3601903891b8b9cb0f84c108c54

[ "MIT" ]

null

## Count the Monkeys! ## 8 kyu ## https://www.codewars.com//kata/56f69d9f9400f508fb000ba7 def monkey_count(n): return list(range(1,n+1))

21.571429

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3983e9a6b792a3c2ee1da1bc7231515f70ac5478

4,287

py

Python

tests/core/data_providers/test_ccxt_provider.py

investing-algorithms/investing-algorithm-framework

d579e142a3857e2e2dfb59b7d6e54202f7df5466

[ "Apache-2.0" ]

1

2019-12-23T21:23:45.000Z

tests/core/data_providers/test_ccxt_provider.py

investing-algorithms/investing-algorithm-framework

d579e142a3857e2e2dfb59b7d6e54202f7df5466

[ "Apache-2.0" ]

null

tests/core/data_providers/test_ccxt_provider.py

investing-algorithms/investing-algorithm-framework

d579e142a3857e2e2dfb59b7d6e54202f7df5466

[ "Apache-2.0" ]

1

2019-12-23T21:23:50.000Z

from investing_algorithm_framework import TradingTimeUnit, \ TradingDataTypes, Ticker, OrderBook, OperationalException from tests.resources import TestBase class Test(TestBase): def setUp(self): super(Test, self).setUp() self.start_algorithm() def test_provide_ohlcv(self) -> None: data = self.algo_app.algorithm.get_data( trading_data_type=TradingDataTypes.OHLCV, target_symbol="BTC", trading_symbol="USDT", trading_time_unit=TradingTimeUnit.ONE_DAY, limit=5, market="binance" ) self.assertEqual(5, len(data["ohlcv"].get_data())) data = self.algo_app.algorithm.get_data( trading_data_type=TradingDataTypes.OHLCV, target_symbol="BTC", trading_symbol="USDT", trading_time_unit=TradingTimeUnit.ONE_MINUTE, limit=7200, market="binance" ) self.assert_almost_equal(7200, len(data["ohlcv"].get_data()), 200) data = self.algo_app.algorithm.get_data( trading_data_type=TradingDataTypes.OHLCV, target_symbol="BTC", trading_symbol="USDT", trading_time_unit=TradingTimeUnit.ONE_DAY, limit=100, market="binance" ) self.assertEqual(100, len(data["ohlcv"].get_data())) def test_provide_ohlcvs(self): data = self.algo_app.algorithm.get_data( trading_data_type=TradingDataTypes.OHLCV, target_symbols=["BTC", "DOT"], trading_symbol="USDT", trading_time_unit=TradingTimeUnit.ONE_DAY, limit=5, market="binance" ) for ohlcv_data in data["ohlcvs"]: self.assertEqual(5, len(ohlcv_data.get_data())) data = self.algo_app.algorithm.get_data( trading_data_type=TradingDataTypes.OHLCV, target_symbols=["BTC", "DOT"], trading_symbol="USDT", trading_time_unit=TradingTimeUnit.ONE_MINUTE, limit=7200, market="binance" ) for ohlcv_data in data["ohlcvs"]: self.assert_almost_equal(7200, len(ohlcv_data.get_data()), 200) data = self.algo_app.algorithm.get_data( trading_data_type=TradingDataTypes.OHLCV, target_symbols=["BTC", "DOT"], trading_symbol="USDT", trading_time_unit=TradingTimeUnit.ONE_DAY, limit=100, market="binance" ) for ohlcv_data in data["ohlcvs"]: self.assertEqual(100, len(ohlcv_data.get_data())) def test_ticker(self): data = self.algo_app.algorithm.get_data( trading_data_type=TradingDataTypes.TICKER, target_symbol="BTC", trading_symbol="USDT", market="binance" ) self.assertTrue(isinstance(data["ticker"], Ticker)) def test_tickers(self): data = self.algo_app.algorithm.get_data( trading_data_type=TradingDataTypes.TICKER, target_symbols=["BTC", "DOT"], trading_symbol="USDT", market="binance" ) for ticker in data["tickers"]: self.assertTrue(isinstance(ticker, Ticker)) def test_order_book(self): data = self.algo_app.algorithm.get_data( trading_data_type=TradingDataTypes.ORDER_BOOK, target_symbol="BTC", trading_symbol="USDT", market="binance" ) self.assertTrue(isinstance(data["order_book"], OrderBook)) def test_order_books(self): data = self.algo_app.algorithm.get_data( trading_data_type=TradingDataTypes.ORDER_BOOK, target_symbols=["BTC", "DOT"], trading_symbol="USDT", market="binance" ) for order_book in data["order_books"]: self.assertTrue(isinstance(order_book, OrderBook)) def test_raw(self): with self.assertRaises(OperationalException): self.algo_app.algorithm.get_data( trading_data_type=TradingDataTypes.RAW, target_symbols=["BTC", "DOT"], trading_symbol="USDT", market="binance" )

31.755556

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0.595521

448

4,287

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0.048911

0.049733

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0.792848

0.739416

0.718044

0.686395

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0.012646

0.299044

4,287

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0.101852

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null

0

1

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null

0

5

3988272d8844e11c36e17f72ddf97775f1df2323

101

py

Python

Session-3/Strings/S3SS3.py

saianuragpeddu/python-assignemts

a6bb192f2c0ef8ea86531c1a98f1b76150fa474b

[ "MIT" ]

null

Session-3/Strings/S3SS3.py

saianuragpeddu/python-assignemts

a6bb192f2c0ef8ea86531c1a98f1b76150fa474b

[ "MIT" ]

null

Session-3/Strings/S3SS3.py

saianuragpeddu/python-assignemts

a6bb192f2c0ef8ea86531c1a98f1b76150fa474b

[ "MIT" ]

1

2019-07-06T02:37:58.000Z

def removeLetter(word, letter): return word.replace(letter, "") print(removeLetter("ban", "a"))

20.2

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101

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101

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5

399b1d093da90e426334f51abac70479a8790685

12,624

py

Python

opencv_demos/radix_sort.py

perfectbullet/albumy

6e0fa1bef31f470c19fd6bcf6751d0be6510d864

[ "MIT" ]

null

opencv_demos/radix_sort.py

perfectbullet/albumy

6e0fa1bef31f470c19fd6bcf6751d0be6510d864

[ "MIT" ]

null

opencv_demos/radix_sort.py

perfectbullet/albumy

6e0fa1bef31f470c19fd6bcf6751d0be6510d864

[ "MIT" ]

null

#!/usr/bin/env python #encoding=utf-8 import math def radix_sort(a, radix): """a为整数列表， radix为基数, 这里用一个质数作为底数""" log_mx = math.log(max(a)+1, radix) print('a = {}'.format(a)) K = int(math.ceil(log_mx)) # 用K位数可表示任意整数 bucket = None for i in range(1, K+1): # K次循环 bucket = [[] for j in range(radix)] # 不能用 [[]]*radix，否则相当于开了radix个完全相同的list对象 for val in a: bucket[val % (radix**i)//(radix**(i-1))].append(val) # 獲得整數第K位數字（從低到高） del a[:] for each in bucket: a.extend(each) # 桶合并 if i == K: bucket = [b for b in bucket if b != []] grup_num = len(bucket) if grup_num != radix: bucket = radix_sort(a, grup_num) return bucket def radix_sort2(a, radix=7): """a为整数列表， radix为基数, 这里用一个质数作为底数""" log_mx = math.log(max(a)+1, radix) # 求得最大指数 print('a = {}'.format(a)) K = int(math.ceil(log_mx)) # 用K位数可表示任意整数 bucket = None for i in range(1, K+1): # K次循环 bucket = [[] for j in range(radix)] # 不能用 [[]]*radix，否则相当于开了radix个完全相同的list对象 for val in a: # 获取整数在低K位的数字, val % (radix**i)//(radix**(i-1)) bucket[val % (radix**i)//(radix**(i-1))].append(val) del a[:] for each in bucket: a.extend(each) # 桶合并 if i == K: bucket = [b for b in bucket if b != []] print('bucket = {}'.format(bucket)) return bucket if __name__ == '__main__': tt = [[33, 33, 36, 58, 122, 127, 136, 138, 138], [0, 0, 30, 32, 37, 53, 54, 54, 132, 134, 138, 138, 139, 140, 140], [0, 0, 0, 1, 3, 20, 22, 23, 24, 31, 31, 31, 32, 32, 35, 35, 35, 46, 53, 68, 68, 69, 72, 75, 77, 144, 148, 149], [0, 0, 69, 69, 146, 147, 147, 157, 157], [22, 22, 54, 146, 147], [0, 0, 21, 22, 55, 56, 144, 154], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 21, 22, 25, 25, 43, 56, 57, 157, 157], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 17, 21, 22, 27, 43, 54, 56, 141, 144, 150, 156, 156, 157, 157], [32, 32, 60, 66, 69, 147, 151, 153, 154], [46, 46, 48, 49, 59, 60, 60, 61, 63, 63, 64, 64, 64, 65, 65, 65, 66, 66, 67, 67, 67, 67, 67, 67, 67, 67, 68, 69, 69, 69, 78, 78, 141, 141, 143], [53, 70, 71, 71, 71, 71, 72, 72, 72, 107, 109], [0, 0, 53, 64, 65, 65, 65, 67, 67, 67, 68, 68, 68, 68, 69, 69, 69, 69, 72, 73, 130, 157, 157, 157, 157], [52, 53, 54, 54, 54, 55, 55, 55, 55, 56, 56, 56, 56, 57, 58, 58, 59, 61, 62, 144, 144], [39, 39, 42, 43, 43, 143, 144, 144, 150], [36, 38, 39, 40, 40, 40, 40, 40, 42, 42, 42, 43, 43], [16, 18, 19, 147, 147], [47, 47, 48, 48, 48, 48, 50, 51, 51, 51, 142, 143, 143, 143, 144], [38, 47, 47, 48, 48, 48, 48, 48, 48, 48, 48, 48, 49, 49, 49, 50, 50, 50, 50, 50, 52, 60, 60, 61, 66, 76, 78, 78, 81, 97, 110, 128, 139, 140, 143], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 45, 46, 49, 50, 52, 52, 69, 76, 78, 82, 85, 89, 132, 132, 135, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157], [0, 0, 0, 0, 0, 1, 46, 47, 47, 48, 53, 134, 136, 136, 154, 157, 157, 157, 157, 157, 157], [43, 48, 49, 57, 58, 59, 60, 61, 62], [0, 0, 48, 49, 49, 49, 56, 57, 58, 58, 61, 65, 66, 78, 137, 137, 138], [53, 55, 58, 58, 58, 61, 62, 143, 144, 144, 147], [45, 53, 53, 55, 144, 145, 145, 146], [0, 0, 0, 0, 0, 0, 1, 1, 1, 45, 49, 51, 51, 157, 157, 157, 157], [30, 58, 58, 58, 58, 59, 144, 150], [40, 61, 62, 63, 63, 64, 64, 64, 64, 64, 64, 65, 65], [41, 41, 68, 68, 69, 70, 71, 72], [54, 55, 59, 60, 147]] tt2 = [[338, 339, 361, 584, 1226, 1270, 1361, 1385, 1386], [0, 0, 305, 321, 375, 539, 541, 547, 1328, 1340, 1382, 1389, 1390, 1404, 1405], [0, 8, 8, 10, 36, 203, 224, 235, 244, 311, 314, 315, 321, 321, 356, 356, 357, 461, 533, 680, 682, 697, 725, 753, 770, 1447, 1484, 1491], [236, 237, 343, 345, 346, 445, 530, 531, 532, 661, 698, 727, 741, 1459], [220, 224, 542, 1463, 1479], [0, 0, 223, 223, 233, 559, 565, 1454, 1546], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 8, 8, 8, 8, 10, 215, 219, 225, 226, 249, 287, 363, 541, 550, 558, 1570, 1570], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 10, 14, 14, 16, 16, 16, 17, 27, 27, 42, 43, 50, 215, 223, 235, 251, 265, 288, 557, 565, 626, 626, 626, 630, 1570, 1570, 1570, 1570, 1570, 1570], [320, 323, 607, 664, 691, 1474, 1519, 1537, 1544], [461, 461, 489, 490, 594, 605, 609, 618, 630, 635, 641, 644, 646, 654, 654, 654, 663, 664, 670, 671, 671, 672, 672, 673, 673, 679, 681, 696, 698, 698, 785, 785, 1413, 1413, 1432], [532, 707, 715, 715, 716, 716, 724, 724, 725, 1072, 1091], [0, 0, 523, 523, 653, 655, 663, 664, 668, 670, 670, 680, 681, 689, 689, 689, 694, 696, 713, 723, 724, 1309, 1570, 1570, 1570, 1570], [522, 539, 540, 548, 548, 550, 551, 556, 557, 565, 566, 567, 568, 575, 580, 583, 595, 616, 621, 1447, 1449], [390, 392, 424, 430, 430, 1438, 1441, 1442, 1502], [365, 385, 399, 400, 400, 401, 402, 404, 425, 425, 428, 435, 436], [168, 182, 198, 1473, 1475], [476, 479, 480, 481, 481, 481, 506, 512, 513, 515, 1429, 1437, 1438, 1439, 1444], [385, 475, 479, 480, 480, 480, 480, 480, 486, 488, 488, 489, 495, 497, 497, 504, 504, 504, 505, 507, 522, 601, 602, 619, 661, 768, 785, 785, 819, 977, 1101, 1282, 1395, 1405, 1434], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 454, 461, 495, 505, 522, 522, 698, 767, 785, 829, 854, 898, 1325, 1327, 1350, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570], [0, 0, 8, 10, 471, 473, 474, 496, 521, 529, 1346, 1347, 1356, 1361, 1362, 1370, 1373, 1374, 1570, 1570], [437, 487, 496, 576, 582, 590, 600, 618, 622], [0, 0, 488, 496, 496, 498, 568, 575, 584, 585, 611, 655, 668, 785, 1371, 1374, 1380], [530, 558, 583, 583, 584, 610, 628, 1433, 1447, 1447, 1474], [452, 532, 532, 558, 1448, 1451, 1456, 1467], [0, 0, 0, 0, 0, 0, 0, 0, 6, 8, 8, 476, 486, 513, 515, 1570, 1570], [306, 583, 583, 584, 584, 592, 1443, 1501], [408, 619, 627, 636, 637, 644, 644, 645, 646, 646, 647, 653, 653], [416, 417, 687, 687, 698, 709, 714, 723], [546, 550, 593, 601, 1474]] tt3 = [[132, 132, 141, 228, 479, 496, 531, 541, 541], [0, 0, 117, 124, 145, 208, 209, 211, 512, 517, 533, 536, 537, 542, 542], [0, 2, 2, 3, 11, 66, 73, 77, 80, 102, 103, 103, 105, 105, 116, 117, 117, 151, 174, 223, 223, 228, 237, 247, 252, 474, 487, 489], [0, 0, 248, 254, 530, 535, 536, 542, 570, 570], [64, 65, 158, 427, 432], [0, 0, 72, 72, 75, 181, 183, 471, 501], [0, 0, 0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 2, 3, 3, 9, 55, 72, 74, 79, 84, 85, 94, 187, 190, 518, 518], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 5, 5, 5, 7, 14, 76, 76, 76, 76, 81, 95, 101, 104, 109, 196, 203, 218, 218, 221, 549, 549, 553, 553, 553, 553], [130, 131, 246, 269, 280, 598, 616, 624, 627], [221, 222, 235, 236, 286, 291, 293, 297, 303, 305, 308, 309, 311, 314, 314, 314, 319, 319, 322, 322, 322, 323, 323, 323, 323, 326, 327, 335, 335, 336, 377, 377, 680, 680, 689], [197, 263, 266, 266, 266, 266, 269, 269, 269, 398, 405], [0, 0, 305, 306, 381, 383, 387, 388, 390, 391, 391, 397, 398, 402, 402, 402, 405, 406, 416, 422, 423, 764, 917, 917, 917, 917], [250, 258, 259, 263, 263, 264, 264, 267, 267, 271, 271, 272, 272, 276, 278, 280, 285, 295, 298, 694, 695], [137, 138, 149, 151, 151, 506, 507, 507, 529], [124, 130, 135, 135, 136, 136, 136, 137, 144, 144, 145, 147, 148], [66, 72, 78, 585, 586], [191, 192, 193, 193, 193, 193, 203, 206, 206, 207, 574, 577, 578, 578, 580], [145, 178, 180, 180, 180, 180, 180, 180, 182, 183, 183, 184, 186, 186, 186, 189, 189, 189, 189, 190, 196, 226, 226, 232, 248, 288, 295, 295, 308, 367, 414, 481, 524, 528, 539], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 199, 202, 216, 221, 228, 228, 305, 335, 343, 363, 373, 393, 580, 581, 591, 687, 687, 687, 687, 687, 687, 687, 687, 687, 687, 687, 687, 687, 687, 687, 687, 687, 687, 687, 687, 687, 687, 687, 687, 687, 687, 687, 687, 687, 687, 687], [0, 0, 2, 2, 193, 193, 194, 203, 211, 214, 554, 558, 558, 643, 643], [251, 280, 285, 331, 334, 339, 345, 355, 358], [0, 0, 191, 194, 194, 195, 222, 224, 228, 229, 256, 261, 307, 536, 537, 539], [255, 268, 280, 281, 281, 293, 302, 689, 696, 696, 709], [189, 222, 222, 233, 605, 606, 608, 613], [0, 0, 0, 0, 3, 3, 3, 3, 4, 6, 7, 198, 198, 205, 211, 639, 639], [96, 183, 183, 183, 184, 186, 454, 472], [119, 181, 184, 186, 187, 189, 189, 189, 189, 189, 189, 191, 191], [146, 146, 241, 241, 244, 248, 250, 253], [173, 175, 188, 191, 469]] # bucket = [[1, 3, 20, 22, 23, 24, 31, 31, 31, 32, 32, 35, 35, 35, 46, 53, 68, 68, 69, 72, 75, 77], [144, 148, 149]] # bucket1 = [[69, 69], [146, 147, 147, 157, 157]] # bucket2 = [[7, 21, 22, 25, 25, 43, 56, 57], [157, 157]] # bucket3 = [[1, 17, 21, 22, 27, 43, 54, 56], [141, 144, 150, 156, 156, 157, 157]] # bucket4 = [[32, 32, 60, 66, 69], [147, 151, 153, 154]] # bucket5 = [[46, 46, 48, 49, 59, 60, 60, 61, 63, 63, 64, 64, 64, 65, 65, 65, 66, 66, 67, 67, 67, 67, 67, 67, 67, 67, 68, 69, 69, 69, 78, 78], [141, 141, 143]] # bucket6 = [[53, 64, 65, 65, 65, 67, 67, 67, 68, 68, 68, 68, 69, 69, 69, 69, 72, 73], [130, 157, 157, 157, 157]] # bucket7 = [[45, 46, 49, 50, 52, 52, 69, 76, 78, 82, 85, 89], # [132, 132, 135, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, # 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157, 157]] # bucket8 = [[1, 46, 47, 47, 48, 53], [134, 136, 136, 154, 157, 157, 157, 157, 157, 157]] for t in tt: # print(b) # bucket1 = radix_sort(t, len(t))[[338, 339, 361, 584, 1226, 1270, 1361, 1385, 1386], [0, 0, 305, 321, 375, 539, 541, 547, 1328, 1340, 1382, 1389, 1390, 1404, 1405], [0, 8, 8, 10, 36, 203, 224, 235, 244, 311, 314, 315, 321, 321, 356, 356, 357, 461, 533, 680, 682, 697, 725, 753, 770, 1447, 1484, 1491], [236, 237, 343, 345, 346, 445, 530, 531, 532, 661, 698, 727, 741, 1459], [220, 224, 542, 1463, 1479], [0, 0, 223, 223, 233, 559, 565, 1454, 1546], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 8, 8, 8, 8, 10, 215, 219, 225, 226, 249, 287, 363, 541, 550, 558, 1570, 1570], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 10, 14, 14, 16, 16, 16, 17, 27, 27, 42, 43, 50, 215, 223, 235, 251, 265, 288, 557, 565, 626, 626, 626, 630, 1570, 1570, 1570, 1570, 1570, 1570], [320, 323, 607, 664, 691, 1474, 1519, 1537, 1544], [461, 461, 489, 490, 594, 605, 609, 618, 630, 635, 641, 644, 646, 654, 654, 654, 663, 664, 670, 671, 671, 672, 672, 673, 673, 679, 681, 696, 698, 698, 785, 785, 1413, 1413, 1432], [532, 707, 715, 715, 716, 716, 724, 724, 725, 1072, 1091], [0, 0, 523, 523, 653, 655, 663, 664, 668, 670, 670, 680, 681, 689, 689, 689, 694, 696, 713, 723, 724, 1309, 1570, 1570, 1570, 1570], [522, 539, 540, 548, 548, 550, 551, 556, 557, 565, 566, 567, 568, 575, 580, 583, 595, 616, 621, 1447, 1449], [390, 392, 424, 430, 430, 1438, 1441, 1442, 1502], [365, 385, 399, 400, 400, 401, 402, 404, 425, 425, 428, 435, 436], [168, 182, 198, 1473, 1475], [476, 479, 480, 481, 481, 481, 506, 512, 513, 515, 1429, 1437, 1438, 1439, 1444], [385, 475, 479, 480, 480, 480, 480, 480, 486, 488, 488, 489, 495, 497, 497, 504, 504, 504, 505, 507, 522, 601, 602, 619, 661, 768, 785, 785, 819, 977, 1101, 1282, 1395, 1405, 1434], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 454, 461, 495, 505, 522, 522, 698, 767, 785, 829, 854, 898, 1325, 1327, 1350, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570, 1570], [0, 0, 8, 10, 471, 473, 474, 496, 521, 529, 1346, 1347, 1356, 1361, 1362, 1370, 1373, 1374, 1570, 1570], [437, 487, 496, 576, 582, 590, 600, 618, 622], [0, 0, 488, 496, 496, 498, 568, 575, 584, 585, 611, 655, 668, 785, 1371, 1374, 1380], [530, 558, 583, 583, 584, 610, 628, 1433, 1447, 1447, 1474], [452, 532, 532, 558, 1448, 1451, 1456, 1467], [0, 0, 0, 0, 0, 0, 0, 0, 6, 8, 8, 476, 486, 513, 515, 1570, 1570], [306, 583, 583, 584, 584, 592, 1443, 1501], [408, 619, 627, 636, 637, 644, 644, 645, 646, 646, 647, 653, 653], [416, 417, 687, 687, 698, 709, 714, 723], [546, 550, 593, 601, 1474]] # print('bucket1: {}\n'.format(bucket1)) # print(b) # t = [5, 0, 0, 219, 224, 224, 190, 53, 200] # t = [n for n in t if n > 0] bucket2 = radix_sort2(t) print('bucket2: {} \n\n\n\n'.format(bucket2))

168.32

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170.594595

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1

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1

0

1

0

null

0

5

39c142ad7d617a051d8fc6f235834e1dfcf98146

8,274

py

Python

aion/proto/status_pb2_grpc.py

latonaio/aion-related-python-library

837e885e3368e3fc34ae41b07565a845c78970fd

[ "MIT" ]

10

2021-09-22T07:15:14.000Z

2021-11-04T10:21:13.000Z

aion/proto/status_pb2_grpc.py

latonaio/aion-related-python-library

837e885e3368e3fc34ae41b07565a845c78970fd

[ "MIT" ]

null

aion/proto/status_pb2_grpc.py

latonaio/aion-related-python-library

837e885e3368e3fc34ae41b07565a845c78970fd

[ "MIT" ]

null

# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! """Client and server classes corresponding to protobuf-defined services.""" import grpc from aion.proto import status_pb2 as proto_dot_kanbanpb_dot_status__pb2 class KanbanStub(object): """Missing associated documentation comment in .proto file.""" def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.ReceiveKanban = channel.unary_stream( '/kanbanpb.Kanban/ReceiveKanban', request_serializer=proto_dot_kanbanpb_dot_status__pb2.InitializeService.SerializeToString, response_deserializer=proto_dot_kanbanpb_dot_status__pb2.StatusKanban.FromString, ) self.SendKanban = channel.unary_unary( '/kanbanpb.Kanban/SendKanban', request_serializer=proto_dot_kanbanpb_dot_status__pb2.Request.SerializeToString, response_deserializer=proto_dot_kanbanpb_dot_status__pb2.Response.FromString, ) class KanbanServicer(object): """Missing associated documentation comment in .proto file.""" def ReceiveKanban(self, request, context): """最新のCカンバンを取得する """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def SendKanban(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_KanbanServicer_to_server(servicer, server): rpc_method_handlers = { 'ReceiveKanban': grpc.unary_stream_rpc_method_handler( servicer.ReceiveKanban, request_deserializer=proto_dot_kanbanpb_dot_status__pb2.InitializeService.FromString, response_serializer=proto_dot_kanbanpb_dot_status__pb2.StatusKanban.SerializeToString, ), 'SendKanban': grpc.unary_unary_rpc_method_handler( servicer.SendKanban, request_deserializer=proto_dot_kanbanpb_dot_status__pb2.Request.FromString, response_serializer=proto_dot_kanbanpb_dot_status__pb2.Response.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'kanbanpb.Kanban', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class Kanban(object): """Missing associated documentation comment in .proto file.""" @staticmethod def ReceiveKanban(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_stream(request, target, '/kanbanpb.Kanban/ReceiveKanban', proto_dot_kanbanpb_dot_status__pb2.InitializeService.SerializeToString, proto_dot_kanbanpb_dot_status__pb2.StatusKanban.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def SendKanban(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/kanbanpb.Kanban/SendKanban', proto_dot_kanbanpb_dot_status__pb2.Request.SerializeToString, proto_dot_kanbanpb_dot_status__pb2.Response.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) class SendAnythingStub(object): """Missing associated documentation comment in .proto file.""" def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.ServiceBrokerConn = channel.stream_stream( '/kanbanpb.SendAnything/ServiceBrokerConn', request_serializer=proto_dot_kanbanpb_dot_status__pb2.SendKanban.SerializeToString, response_deserializer=proto_dot_kanbanpb_dot_status__pb2.SendKanban.FromString, ) self.SendToOtherDevices = channel.stream_unary( '/kanbanpb.SendAnything/SendToOtherDevices', request_serializer=proto_dot_kanbanpb_dot_status__pb2.SendContext.SerializeToString, response_deserializer=proto_dot_kanbanpb_dot_status__pb2.UploadStatus.FromString, ) class SendAnythingServicer(object): """Missing associated documentation comment in .proto file.""" def ServiceBrokerConn(self, request_iterator, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def SendToOtherDevices(self, request_iterator, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_SendAnythingServicer_to_server(servicer, server): rpc_method_handlers = { 'ServiceBrokerConn': grpc.stream_stream_rpc_method_handler( servicer.ServiceBrokerConn, request_deserializer=proto_dot_kanbanpb_dot_status__pb2.SendKanban.FromString, response_serializer=proto_dot_kanbanpb_dot_status__pb2.SendKanban.SerializeToString, ), 'SendToOtherDevices': grpc.stream_unary_rpc_method_handler( servicer.SendToOtherDevices, request_deserializer=proto_dot_kanbanpb_dot_status__pb2.SendContext.FromString, response_serializer=proto_dot_kanbanpb_dot_status__pb2.UploadStatus.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'kanbanpb.SendAnything', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class SendAnything(object): """Missing associated documentation comment in .proto file.""" @staticmethod def ServiceBrokerConn(request_iterator, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.stream_stream(request_iterator, target, '/kanbanpb.SendAnything/ServiceBrokerConn', proto_dot_kanbanpb_dot_status__pb2.SendKanban.SerializeToString, proto_dot_kanbanpb_dot_status__pb2.SendKanban.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def SendToOtherDevices(request_iterator, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.stream_unary(request_iterator, target, '/kanbanpb.SendAnything/SendToOtherDevices', proto_dot_kanbanpb_dot_status__pb2.SendContext.SerializeToString, proto_dot_kanbanpb_dot_status__pb2.UploadStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

42.430769

116

0.682137

781

8,274

6.87452

0.135723

0.043584

0.074502

0.088471

0.807785

0.770535

0.765319

0.738313

0.595642

0.430806

0

0.004161

0.244863

8,274

194

117

42.649485

0.855154

0.103698

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0

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0

0.014085

0.028169

0.169014

0

null

0

1

0

1

0

null

0

5

39c3058f2ea320f74efffc5032327994f0ac314e

1,048

py

Python

api/client/src/test/test_build_image_response_content.py

enrico-usai/cfncluster

acf083776c301d4f2a03ce5cd6fc79f9b88c74e0

[ "Apache-2.0" ]

415

2018-11-13T15:02:15.000Z

2022-03-31T15:26:06.000Z

api/client/src/test/test_build_image_response_content.py

enrico-usai/cfncluster

acf083776c301d4f2a03ce5cd6fc79f9b88c74e0

[ "Apache-2.0" ]

2,522

2018-11-13T16:16:27.000Z

2022-03-31T13:57:10.000Z

api/client/src/test/test_build_image_response_content.py

yuleiwan/aws-parallelcluster

aad2a3019ef4ad08d702f5acf41b152b3f7a0b46

[ "Apache-2.0" ]

164

2018-11-14T22:47:46.000Z

2022-03-22T11:33:22.000Z

""" ParallelCluster ParallelCluster API # noqa: E501 The version of the OpenAPI document: 3.0.0 Generated by: https://openapi-generator.tech """ import sys import unittest import pcluster.client from pcluster.client.model.config_validation_message import ConfigValidationMessage from pcluster.client.model.image_info_summary import ImageInfoSummary globals()['ConfigValidationMessage'] = ConfigValidationMessage globals()['ImageInfoSummary'] = ImageInfoSummary from pcluster.client.model.build_image_response_content import BuildImageResponseContent class TestBuildImageResponseContent(unittest.TestCase): """BuildImageResponseContent unit test stubs""" def setUp(self): pass def tearDown(self): pass def testBuildImageResponseContent(self): """Test BuildImageResponseContent""" # FIXME: construct object with mandatory attributes with example values # model = BuildImageResponseContent() # noqa: E501 pass if __name__ == '__main__': unittest.main()

26.2

88

0.750954

101

1,048

7.643564

0.574257

0.072539

0.069948

0.089378

0

0.010357

0.170802

1,048

39

89

26.871795

0.878021

0.316794

0

0.176471

1

0

0.069118

0.033824

0

0.025641

0

1

0.176471

false

0.176471

0.352941

0

0.588235

0

null

0

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0

null

0

1

0

1

0

1

0

5

39f239d7911f9a6c407df9b0608cdc0a0d741343

217

py

Python

src/hio/core/http/__init__.py

pfeairheller/hio

44669adb62c81357491f9f6157312bc1313b56cf

[ "Apache-2.0" ]

1

2021-04-07T19:10:28.000Z

src/hio/core/http/__init__.py

pfeairheller/hio

44669adb62c81357491f9f6157312bc1313b56cf

[ "Apache-2.0" ]

4

2021-03-30T20:50:19.000Z

2022-01-06T17:16:18.000Z

src/hio/core/http/__init__.py

pfeairheller/hio

44669adb62c81357491f9f6157312bc1313b56cf

[ "Apache-2.0" ]

3

2021-04-08T19:35:36.000Z

2021-06-03T13:39:05.000Z

# -*- encoding: utf-8 -*- """ hio.core.http Package """ from .httping import HTTPError from .clienting import Client, openClient, ClientDoer from .serving import BareServer, Server, WsgiServer, openServer, ServerDoer

27.125

75

0.75576

25

217

6.56

0.84

0

0.005263

0.124424

217

7

76

31

0.857895

0.211982

0

1

0

true

0

1

0

1

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1

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null

0

1

0

null

0

1

0

1

0

1

0

5

840075eb24a49ca4de083d64f242b8fae612155c

179

py

Python

autorch/__init__.py

skywalker0803r/autorch

b71adb2c010556d4e7895304e46a1545a347ffa6

[ "MIT" ]

null

autorch/__init__.py

skywalker0803r/autorch

b71adb2c010556d4e7895304e46a1545a347ffa6

[ "MIT" ]

null

autorch/__init__.py

skywalker0803r/autorch

b71adb2c010556d4e7895304e46a1545a347ffa6

[ "MIT" ]

null

import os try: import robust_loss_pytorch except: os.system("pip install git+https://github.com/jonbarron/robust_loss_pytorch") from . import utils,function,transferlearning

22.375

79

0.804469

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179

5.6

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0

0.100559

179

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0

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1

0

1

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null

0

1

0

1

0

5

841d285ec49fcdd77209b6c1f26d54645a43bb0c

164

py

Python

dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/numba/unittest_support.py

jeikabu/lumberyard

07228c605ce16cbf5aaa209a94a3cb9d6c1a4115

[ "AML" ]

1,738

2017-09-21T10:59:12.000Z

2022-03-31T21:05:46.000Z

dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/numba/unittest_support.py

jeikabu/lumberyard

07228c605ce16cbf5aaa209a94a3cb9d6c1a4115

[ "AML" ]

427

2017-09-29T22:54:36.000Z

2022-02-15T19:26:50.000Z

dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/numba/unittest_support.py

jeikabu/lumberyard

07228c605ce16cbf5aaa209a94a3cb9d6c1a4115

[ "AML" ]

671

2017-09-21T08:04:01.000Z

2022-03-29T14:30:07.000Z

""" This file fixes portability issues for unittest """ import sys import warnings from . import config from numba.config import PYVERSION from unittest import *

14.909091

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0.780488

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164

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8427f5220633de90baeea5a657556cb13a79f79c

271

py

Python

kara/common/__init__.py

genvia/kara

0b3f8975fc816e64100cd845c36998ac77eace6c

[ "BSD-2-Clause" ]

null

kara/common/__init__.py

genvia/kara

0b3f8975fc816e64100cd845c36998ac77eace6c

[ "BSD-2-Clause" ]

1

2021-03-31T19:03:57.000Z

kara/common/__init__.py

genvia/kara

0b3f8975fc816e64100cd845c36998ac77eace6c

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- # only for setup.py's findpackages from .karaerror import KaraBaseError from .karaerror import KaraExecutorError from .karaerror import KaraDatabaseError from .karaerror import KaraValidatorError # vim: set ft=python ai nu et ts=4 sw=4 tw=120:

24.636364

47

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271

5.5

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0

0.025862

0.143911

271

10

48

27.1

0.875

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0

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1

0

null

0

1

0

1

0

1

0

5

843756e9db4aaa007a306fc8fdfd8d11cf079e1f

326

py

Python

tests/elementals/atoms/test_radio.py

IAmTheBlurr/Automancy

0c52916cd01dda6bd34ef8d048c37e478dfabbb5

[ "MIT" ]

null

tests/elementals/atoms/test_radio.py

IAmTheBlurr/Automancy

0c52916cd01dda6bd34ef8d048c37e478dfabbb5

[ "MIT" ]

null

tests/elementals/atoms/test_radio.py

IAmTheBlurr/Automancy

0c52916cd01dda6bd34ef8d048c37e478dfabbb5

[ "MIT" ]

null

from automancy import Radio class TestRadio(object): def test_radio_object_can_be_instantiated(self): test_object = Radio('//div', 'Test Object', 'test_object') assert test_object.locator == '//div' assert test_object.name == 'Test Object' assert test_object.system_name == 'test_object'

32.6

66

0.690184

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326

5.195122

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0.375587

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0

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326

9

67

36.222222

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0

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0

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false

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0

null

1

0

1

0

null

0

1

0

5

84588f1c7f30cc0297fe7d1468ab41df3f762917

151

py

Python

lightcycle-frontend/tournament/base_bot.py

Onapsis/pytron

2ed0622ae13f010bcd8fdbbd2f1e9cba3d2e3d58

[ "MIT" ]

1

2015-11-04T12:04:42.000Z

lightcycle-frontend/tournament/base_bot.py

Onapsis/pytron

2ed0622ae13f010bcd8fdbbd2f1e9cba3d2e3d58

[ "MIT" ]

null

lightcycle-frontend/tournament/base_bot.py

Onapsis/pytron

2ed0622ae13f010bcd8fdbbd2f1e9cba3d2e3d58

[ "MIT" ]

null

class MyLightCycleBot(LightCycleBaseBot): def get_next_step(self, arena, x, y): # Should return north, south, east or west return

25.166667

50

0.675497

19

151

5.263158

0.947368

0

0.245033

151

5

51

30.2

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null

0

1

0

1

0

5

f2291a7abd65e8de8a8213c02057f363f1b82bcd

73

py

Python

waitlist/utility/outgate/__init__.py

kimnnmadsen/eve-inc-waitlist

c3e4853c5563a95edbf105c11e73d481595fb3ab

[ "MIT" ]

null

waitlist/utility/outgate/__init__.py

kimnnmadsen/eve-inc-waitlist

c3e4853c5563a95edbf105c11e73d481595fb3ab

[ "MIT" ]

1

2020-02-18T05:11:20.000Z

2020-02-18T05:29:10.000Z

waitlist/utility/outgate/__init__.py

kimnnmadsen/eve-inc-waitlist

c3e4853c5563a95edbf105c11e73d481595fb3ab

[ "MIT" ]

null

from . import character from . import alliance from . import corporation

18.25

25

0.794521

9

73

6.444444

0.555556

0.517241

0

0.164384

73

3

26

24.333333

0.95082

0

1

0

true

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1

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null

1

0

1

0

null

0

1

0

1

0

5

f27702f396ae69455b31f727219b43de27912c88

50

py

Python

behavioral/strategy/logic/__init__.py

Kozak24/Patterns

351d5c11f7c64ce5d58db37b6715fc8f7d31945a

[ "MIT" ]

null

behavioral/strategy/logic/__init__.py

Kozak24/Patterns

351d5c11f7c64ce5d58db37b6715fc8f7d31945a

[ "MIT" ]

null

behavioral/strategy/logic/__init__.py

Kozak24/Patterns

351d5c11f7c64ce5d58db37b6715fc8f7d31945a

[ "MIT" ]

null

from .person_representer import PersonRepresenter

25

49

0.9

5

50

8.8

1

0

0.08

50

1

50

0.956522

0

1

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true

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1

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1

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null

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1

0

null

0

1

0

1

0

1

0

5

f2a33ae4033bc4de28f09169a7bab269459e9b56

213

py

Python

acestream/ACEStream/Core/CacheDB/cachedb.py

GrandPaRPi/p2ptv-pi

6f79c00f9055a3763ddfe1dc41e14d2cb533f4c3

[ "MIT" ]

null

acestream/ACEStream/Core/CacheDB/cachedb.py

GrandPaRPi/p2ptv-pi

6f79c00f9055a3763ddfe1dc41e14d2cb533f4c3

[ "MIT" ]

null

acestream/ACEStream/Core/CacheDB/cachedb.py

GrandPaRPi/p2ptv-pi

6f79c00f9055a3763ddfe1dc41e14d2cb533f4c3

[ "MIT" ]

2

2018-04-17T17:34:39.000Z

2020-07-26T03:43:33.000Z

#Embedded file name: ACEStream\Core\CacheDB\cachedb.pyo from sqlitecachedb import * from SqliteSeedingStatsCacheDB import * from SqliteFriendshipStatsCacheDB import * from SqliteVideoPlaybackStatsCacheDB import *

35.5

55

0.859155

20

213

9.15

0.65

0.163934

0

0.093897

213

5

56

42.6

0.948187

0.253521

0

1

0

true

0

1

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1

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

5

f2b1e65a4ee4df342e9bb9d7f6f20c9dd1954a94

158

py

Python

utils/__init__.py

bweck/cssbot

2f3b5a6e0600f92ae0803ad3df44948dd5408444

[ "MIT" ]

1

2017-04-04T06:06:16.000Z

utils/__init__.py

bweck/cssbot

2f3b5a6e0600f92ae0803ad3df44948dd5408444

[ "MIT" ]

null

utils/__init__.py

bweck/cssbot

2f3b5a6e0600f92ae0803ad3df44948dd5408444

[ "MIT" ]

null

from sysy import usage, argv from dirs import switch_cwd_to_script_loc from formatting import format_json from filelock import FileLock, FileLockException

19.75

48

0.85443

23

158

5.652174

0.695652

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0.132911

158

7

49

22.571429

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true

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null

0

1

0

null

0

1

0

1

0

1

0

5

4b3bb113ab847ce9883dee90dae151f653df297c

231

py

Python

otscrape/core/loader/__init__.py

SSripilaipong/otscrape

73ad2ea3d20841cf5d81b37180a1f21c48e87480

[ "MIT" ]

null

otscrape/core/loader/__init__.py

SSripilaipong/otscrape

73ad2ea3d20841cf5d81b37180a1f21c48e87480

[ "MIT" ]

null

otscrape/core/loader/__init__.py

SSripilaipong/otscrape

73ad2ea3d20841cf5d81b37180a1f21c48e87480

[ "MIT" ]

null

from .dummy import DummyLoader from .request import SimpleRequestLoader from .file import LineLoader, JSONFileLoader, CSVFileLoader __all__ = ['DummyLoader', 'SimpleRequestLoader', 'LineLoader', 'JSONFileLoader', 'CSVFileLoader']

38.5

97

0.809524

20

231

9.15

0.55

0.262295

0.404372

0

0.095238

231

5

98

46.2

0.875598

0

0.290043

0

1

0

false

0

0.75

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

5

4b4189891cfa98e3db7fa9a1557e24b1796d6327

135

py

Python

recommends/tests/admin.py

coagulant/django-recommends

412b741c3a0aa5204b70f869cc893ef9fbccbe51

[ "MIT" ]

142

2015-02-09T20:32:34.000Z

2021-12-17T09:13:57.000Z

recommends/tests/admin.py

coagulant/django-recommends

412b741c3a0aa5204b70f869cc893ef9fbccbe51

[ "MIT" ]

20

2015-03-12T15:43:51.000Z

2021-02-16T19:38:56.000Z

recommends/tests/admin.py

coagulant/django-recommends

412b741c3a0aa5204b70f869cc893ef9fbccbe51

[ "MIT" ]

40

2015-05-11T19:35:31.000Z

2021-12-02T17:03:06.000Z

from django.contrib import admin from .models import RecProduct, RecVote admin.site.register(RecProduct) admin.site.register(RecVote)

22.5

39

0.82963

18

135

6.222222

0.555556

0.160714

0.303571

0

0.088889

135

5

40

27

0.910569

0

1

0

true

0

0.5

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0.5

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null

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1

0

null

0

1

0

1

0

5

4b6b9c0beaf0de98d4aca0342cd40f5f91611086

345

py

Python

corvid/table_filter/table_filter.py

cmkumar87/corvid

164113c5e0f0f9c7463f43213f38aeeeb6d5b05e

[ "Apache-2.0" ]

2

2019-03-05T20:55:24.000Z

2019-03-05T22:25:27.000Z

corvid/table_filter/table_filter.py

cmkumar87/corvid

164113c5e0f0f9c7463f43213f38aeeeb6d5b05e

[ "Apache-2.0" ]

null

corvid/table_filter/table_filter.py

cmkumar87/corvid

164113c5e0f0f9c7463f43213f38aeeeb6d5b05e

[ "Apache-2.0" ]

null

""" """ from typing import List from corvid.table.table import Table # TODO def predict_table_relevance(table: Table) -> float: return float('inf') # TODO def filter_tables(tables: List[Table], min_relevance: float) -> List[Table]: return [table for table in tables if predict_table_relevance(table) > min_relevance]

17.25

76

0.701449

46

345

5.108696

0.413043

0.085106

0.178723

0.221277

0

0.191304

345

19

77

18.157895

0.842294

0.026087

0

0.009259

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0.052632

0

1

0.285714

false

0

0.285714

0.857143

0

null

0

1

0

null

0

1

0

1

0

1

0

5

4ba1a3fb25cfef3179fb2f1fb68ed2229517ab99

96

py

Python

round_robin/admin.py

popara/jonny-api

29d90c2c7bb6ac70e91bbaa7aad026d5d9229c55

[ "MIT" ]

null

round_robin/admin.py

popara/jonny-api

29d90c2c7bb6ac70e91bbaa7aad026d5d9229c55

[ "MIT" ]

null

round_robin/admin.py

popara/jonny-api

29d90c2c7bb6ac70e91bbaa7aad026d5d9229c55

[ "MIT" ]

null

from django.contrib import admin from models import RoundRobin admin.site.register(RoundRobin)

19.2

32

0.84375

13

96

6.230769

0.692308

0

0.104167

96

4

33

24

0.94186

0

1

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true

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0

null

0

1

0

null

0

1

0

1

0

1

0

5

4bbb95ac65086ed273ac44303abbff13239286ff

12,655

py

Python

me_group/supervisor_api/works.py

Eng-Mohanad-Alkrunz/me_group

8311f034a79c1b75c03a4b6be0b1a726b07a9d95

[ "MIT" ]

null

me_group/supervisor_api/works.py

Eng-Mohanad-Alkrunz/me_group

8311f034a79c1b75c03a4b6be0b1a726b07a9d95

[ "MIT" ]

null

me_group/supervisor_api/works.py

Eng-Mohanad-Alkrunz/me_group

8311f034a79c1b75c03a4b6be0b1a726b07a9d95

[ "MIT" ]

null

from __future__ import unicode_literals import time import frappe import frappe.client import frappe.handler import jwt from frappe import _ import base64 from passlib.context import CryptContext from mimetypes import guess_type from frappe.utils import add_days, cint @frappe.whitelist(allow_guest=True) def create_work(**kwards): lang = "ar" if frappe.get_request_header("Language"): lang = frappe.get_request_header("Language") frappe.local.lang = lang data = kwards check = check_token() user1 = None work_name = None contract = None date = None if check and "user" in check: user1 = check['user'] if not user1: frappe.local.response['http_status_code'] = 403 frappe.local.response['status'] = {"message": _("Not Authorized"), "success": False, "code": 403} frappe.local.response['data'] = None return if "work_name" in data: work_name = data['work_name'] else: frappe.local.response['status'] = {"message": _("Work name required"), "success": False, "code": 403} frappe.local.response['data'] = None return if "contract" in data: contract = data['contract'] else: frappe.local.response['status'] = {"message": _("contract id required"), "success": False, "code": 403} frappe.local.response['data'] = None return if "date" in data: date = data['date'] new_work = frappe.new_doc("Work Application") new_work.set("work_name",work_name) new_work.set("supervisor", user1.name) if date is not None: new_work.set("date", date) new_work.set("contract", contract) new_work.set("images", updatefile(data)) new_work.save(ignore_permissions=True) frappe.db.commit() frappe.local.response['status'] = {"message": _("Work created successfully"), "success": True, "code": 200} frappe.local.response['data'] = None @frappe.whitelist(allow_guest=True) def create_work_management(**kwards): lang = "ar" if frappe.get_request_header("Language"): lang = frappe.get_request_header("Language") frappe.local.lang = lang data = kwards check = check_token() user1 = None contract = None date = None work_name = None if check and "user" in check: user1 = check['user'] if not user1: frappe.local.response['http_status_code'] = 403 frappe.local.response['status'] = {"message": _("Not Authorized"), "success": False, "code": 403} frappe.local.response['data'] = None return work_name = data['work_name'] if "contract" in data: contract = data['contract'] else: frappe.local.response['status'] = {"message": _("contract id required"), "success": False, "code": 403} frappe.local.response['data'] = None return if "date" in data: date = data['date'] email = data['email'] new_work = frappe.new_doc("Work Management Application") work = frappe.get_all("Work Application",filters={"work_name":work_name}) if len(work) == 1 : new_work.set("work", work[0].name) new_work.set("supervisor", user1.name) if date is not None: new_work.set("date", date) new_work.set("contract", contract) new_work.set("email", email) new_work.save(ignore_permissions=True) frappe.db.commit() frappe.local.response['status'] = {"message": _("Work created successfully"), "success": True, "code": 200} frappe.local.response['data'] = None @frappe.whitelist(allow_guest=True) def get_management_works(**kwards): lang = "ar" if frappe.get_request_header("Language"): lang = frappe.get_request_header("Language") frappe.local.lang = lang data = kwards check = check_token() user1 = None contract = None if check and "user" in check: user1 = check['user'] if 'contract' in data: contract = data['contract'] if not user1: frappe.local.response['http_status_code'] = 403 frappe.local.response['status'] = {"message": _("Not Authorized"), "success": False, "code": 403} frappe.local.response['data'] = None return result = [] works =None if contract is not None and contract != "": works = frappe.get_all("Work Management Application", fields=["*"], filters={"supervisor": user1.name,"contract":['like',"%"+contract+"%"]}) else: works = frappe.get_all("Work Management Application", fields=["*"], filters={"supervisor": user1.name}) # works = frappe.get_all("Work Management Application",fields =["*"],filters= {"supervisor":user1.name}) for work in works: work_doc = frappe.get_doc("Work Management Application",work.name) result.append({ "id":work.name, "contract":work.contract, "date":work.date, "customer" :work.customer, "work": work.work, "email": work.email, }) frappe.local.response['status'] = {"message": _("Works list "), "success": True, "code": 200} frappe.local.response['data'] = result @frappe.whitelist(allow_guest=True) def get_works(**kwards): lang = "ar" if frappe.get_request_header("Language"): lang = frappe.get_request_header("Language") frappe.local.lang = lang data = kwards check = check_token() user1 = None contract = None if check and "user" in check: user1 = check['user'] if not user1: frappe.local.response['http_status_code'] = 403 frappe.local.response['status'] = {"message": _("Not Authorized"), "success": False, "code": 403} frappe.local.response['data'] = None return if "contract" in data: contract = data['contract'] else: frappe.local.response['status'] = {"message": _("contract id required"), "success": False, "code": 403} frappe.local.response['data'] = None return result = [] works = frappe.get_all("Work Application",fields =["*"],filters= {"contract":contract}) for work in works: work_doc = frappe.get_doc("Work Application",work.name) images = [] if work_doc.images is not None: for image in work_doc.images: images.append({ "image" : image.images }) result.append({ "id":work.name, "contract":work.contract, "date":work.date, "status" :_(work.status), "images" : images }) frappe.local.response['status'] = {"message": _("Works list "), "success": True, "code": 200} frappe.local.response['data'] = result @frappe.whitelist(allow_guest=True) def get_done_works(**kwards): lang = "ar" if frappe.get_request_header("Language"): lang = frappe.get_request_header("Language") frappe.local.lang = lang data = kwards check = check_token() user1 = None contract = None if check and "user" in check: user1 = check['user'] if not user1: frappe.local.response['http_status_code'] = 403 frappe.local.response['status'] = {"message": _("Not Authorized"), "success": False, "code": 403} frappe.local.response['data'] = None return if "contract" in data: contract = data['contract'] else: frappe.local.response['status'] = {"message": _("contract id required"), "success": False, "code": 403} frappe.local.response['data'] = None return contract_doc = frappe.get_doc("Contract Application",contract) if contract_doc.contract_status == "end of the contract": result = [] works = frappe.get_all("Work Application",fields =["*"],filters= {"contract":contract}) for work in works : images = [] for image in work.images: images.append({ "image" : image.images }) result.append({ "id":work.name, "contract":work.contract, "date":work.date, "status" :_(work.status), "images" : images }) frappe.local.response['status'] = {"message": _("Work created successfully"), "success": True, "code": 200} frappe.local.response['data'] = result else : frappe.local.response['status'] = {"message": _("Contract Not completed yet "), "success": True, "code": 200} frappe.local.response['data'] = None @frappe.whitelist(allow_guest=True) def check_token(): request = frappe.request secret_key = "Me System" frappe.local.lang = "ar" log = frappe.get_doc({"doctype": "Api Log"}) lang = "ar" if frappe.get_request_header("Language"): lang = frappe.get_request_header("Language") frappe.local.lang = lang if frappe.get_request_header("Authorization"): authorization_header = frappe.get_request_header("Authorization").split(" ") if authorization_header[0] != "Bearer" and len(authorization_header) != 2: log.response = _("Not Authorized") log.flags.ignore_permissions = True log.insert() frappe.db.commit() frappe.local.response['status'] = {"message": _("Not Authorized"), "success": False, "code": 403} frappe.local.response['data'] = None return token = frappe.get_request_header("Authorization").replace('Bearer ', '') log.token = token user_devices = frappe.get_all("User Device", ['name'], filters={"access_token": token, "docstatus": ['<', 2]}) if not user_devices: frappe.local.response['http_status_code'] = 403 log.response = _("Not Authorized") log.flags.ignore_permissions = True log.insert() frappe.db.commit(); frappe.local.response['status'] = {"message": _("Not Authorized"), "success": False, "code": 403} frappe.local.response['data'] = None return try: token = jwt.decode(token, secret_key, algorithms="HS256") except Exception: frappe.local.response['http_status_code'] = 401 log.response = _("Not Authorized") log.flags.ignore_permissions = True log.insert() frappe.db.commit(); frappe.local.response['status'] = {"message": _("Not Authorized"), "success": False, "code": 403} frappe.local.response['data'] = None return user_device = frappe.get_doc("User Device", user_devices[0].name) if not user_device.user: frappe.local.response['http_status_code'] = 403 log.response = _("Not Authorized") log.flags.ignore_permissions = True log.insert() frappe.db.commit() frappe.local.response['status'] = {"message": _("Not Authorized"), "success": False, "code": 403} frappe.local.response['data'] = None return supervisor = frappe.get_doc("Supervisor", user_device.user) log.response = "success login" log.flags.ignore_permissions = True log.insert() frappe.db.commit() return {"user": supervisor} else: frappe.local.response['http_status_code'] = 403 log.response = _("Not Authorized") log.flags.ignore_permissions = True log.insert() frappe.db.commit() frappe.local.response['status'] = {"message": _("Not Authorized"), "success": False, "code": 403} frappe.local.response['data'] = None return @frappe.whitelist(allow_guest=True) def updatefile(data): gallery =[] user = frappe.get_doc("User", frappe.session.user) i = 0 for i in range(len(frappe.request.files)): file = frappe.request.files['image['+str(i)+']'] is_private = 0 fieldname = "" folder = 'Home' filename = "" content = None content = file.stream.read() filename = file.filename content_type = guess_type(filename)[0] frappe.local.uploaded_file = content frappe.local.uploaded_filename = filename ret = frappe.new_doc("File") ret.folder = folder ret.file_name = filename ret.content = content ret.is_private = cint(is_private) ret.save(ignore_permissions=True) frappe.db.commit() gallery.append({ 'images':ret.file_url, }) return gallery

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0

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1

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null

0

5

299e5e261ce152883e331debcfb7f10cfc114866

13,480

py

Python

tests/test_cli.py

ads-ad-itcenter/qunomon-lite

9171026426ce69becbb55029e7e0bc24a8c7de28

[ "Apache-2.0" ]

3

2021-12-14T02:00:53.000Z

2022-03-28T01:47:11.000Z

tests/test_cli.py

ads-ad-itcenter/qunomon-lite

9171026426ce69becbb55029e7e0bc24a8c7de28

[ "Apache-2.0" ]

3

2021-12-07T11:50:00.000Z

2022-03-29T04:37:42.000Z

tests/test_cli.py

ads-ad-itcenter/qunomon-lite

9171026426ce69becbb55029e7e0bc24a8c7de28

[ "Apache-2.0" ]

null

import pathlib import re import sys import textwrap from typing import List import docker import pytest from pytest_mock import MockerFixture from rich.console import Console from qunomon_lite import ait, ait_core, cli def _dedent(heredoc: str) -> str: return textwrap.dedent(heredoc)[1:-1] class TestMainCommand: MESSAGE_FOR_USAGE = _dedent( """ usage: qunomon-lite [-h] {run,result-show} ... positional arguments: {run,result-show} run see `run -h` result-show see `run -h` optional arguments: -h, --help show this help message and exit """ ) if sys.version_info >= (3, 10): MESSAGE_FOR_USAGE = _dedent( """ usage: qunomon-lite [-h] {run,result-show} ... positional arguments: {run,result-show} run see `run -h` result-show see `run -h` options: -h, --help show this help message and exit """ ) def test_main( self, mocker: MockerFixture, capsys: pytest.CaptureFixture, ): mocker.patch.object( sys, "argv", ["qunomon-lite"], ) cli.main() cap = capsys.readouterr() assert cap.out == self.MESSAGE_FOR_USAGE assert cap.err == "" @pytest.mark.parametrize( "args", [ (["-h"]), (["--help"]), ], ) def test_main_help( self, mocker: MockerFixture, capsys: pytest.CaptureFixture, args: List[str], ): mocker.patch.object( sys, "argv", ["qunomon-lite", *args], ) with pytest.raises(SystemExit) as e: cli.main() assert e.value.code == 0 cap = capsys.readouterr() assert cap.out == self.MESSAGE_FOR_USAGE assert cap.err == "" @pytest.mark.parametrize( "args,err_msg", [ (["dummy"], "invalid choice: 'dummy' (choose from 'run', 'result-show')"), (["--dummy"], "unrecognized arguments: --dummy"), (["-d"], "unrecognized arguments: -d"), ], ) def test_main_invalid_args( self, mocker: MockerFixture, capsys: pytest.CaptureFixture, args: List[str], err_msg: str, ): mocker.patch.object( sys, "argv", ["qunomon-lite", *args], ) with pytest.raises(SystemExit) as e: cli.main() assert e.value.code == 2 cap = capsys.readouterr() assert cap.out == "" assert "usage: qunomon-lite [-h] {run,result-show} ..." in cap.err assert err_msg in cap.err class TestSubCommandForRun: MESSAGE_FOR_USAGE = _dedent( """ usage: qunomon-lite run [-h] [--inventories [INVENTORIES [INVENTORIES ...]]] [--params [PARAMS [PARAMS ...]]] ait positional arguments: ait optional arguments: -h, --help show this help message and exit --inventories [INVENTORIES [INVENTORIES ...]] --params [PARAMS [PARAMS ...]] """ ) if sys.version_info >= (3, 10): MESSAGE_FOR_USAGE = _dedent( """ usage: qunomon-lite run [-h] [--inventories [INVENTORIES ...]] [--params [PARAMS ...]] ait positional arguments: ait options: -h, --help show this help message and exit --inventories [INVENTORIES ...] --params [PARAMS ...] """ ) @pytest.mark.parametrize( "args", [ (["run", "-h"]), (["run", "--help"]), ], ) def test_main_help( self, mocker: MockerFixture, capsys: pytest.CaptureFixture, args: List[str], ): mocker.patch.object( sys, "argv", ["qunomon-lite", *args], ) with pytest.raises(SystemExit) as e: cli.main() assert e.value.code == 0 cap = capsys.readouterr() assert cap.out == self.MESSAGE_FOR_USAGE assert cap.err == "" @pytest.mark.parametrize( "args,err_msg", [ ( ["run", "--dummy"], "the following arguments are required: ait", ), ( ["run", "-d"], "the following arguments are required: ait", ), ], ) def test_main_invalid_args( self, mocker: MockerFixture, capsys: pytest.CaptureFixture, args: List[str], err_msg: str, ): mocker.patch.object( sys, "argv", ["qunomon-lite", *args], ) with pytest.raises(SystemExit) as e: cli.main() assert e.value.code == 2 cap = capsys.readouterr() assert cap.out == "" assert "usage: qunomon-lite run [-h] [--inventories [INVENTORIES " in cap.err assert "[--params [PARAMS " in cap.err assert err_msg in cap.err def test_main_run( self, mocker: MockerFixture, capsys: pytest.CaptureFixture, tmp_path: pathlib.Path, ait_stub: str, ): mocker.patch.object( sys, "argv", ["qunomon-lite", "run", ait_stub], ) mocker.patch.object(ait, "OUTPUT_ROOT_DIR_PATH", tmp_path) cli.main() cap = capsys.readouterr() assert ( "Running docker container (image: qunomon-lite/ait-stub:latest)" in cap.out ) assert "Finished! run-id: " in cap.out assert cap.err == "" def test_main_run_full_option( self, mocker: MockerFixture, capsys: pytest.CaptureFixture, tmp_path: pathlib.Path, shared_datadir: pathlib.Path, ait_stub: str, ): mocker.patch.object( sys, "argv", [ "qunomon-lite", "run", ait_stub, "--inventories", "inventory_sample=%s" % str(shared_datadir.resolve() / "sample.txt"), "--params", "p1=ppp1", ], ) mocker.patch.object(ait, "OUTPUT_ROOT_DIR_PATH", tmp_path) mocker.patch.object(ait, "_generate_run_id", return_value="run-id") cli.main() cap = capsys.readouterr() assert ( "Running docker container (image: qunomon-lite/ait-stub:latest)" in cap.out ) assert "Finished! run-id: %s" % "run-id" in cap.out assert ( "See output directory for results: \n%s" % str(tmp_path.resolve() / "run-id") in cap.out ) assert cap.err == "" ait_input_json_expected = { "testbed_mount_volume_path": "/usr/local/qai/mnt", "job_id": "-", "run_id": "-", "Inventories": [ { "Name": "inventory_sample", "Value": "/usr/local/qai/inventory/sample.txt", }, ], "MethodParams": [ {"Name": "p1", "Value": "ppp1"}, ], } assert ( ait_core._load_json_file(tmp_path / "run-id/ait.input.json") == ait_input_json_expected ) def test_main_run_execution_error( self, mocker: MockerFixture, capsys: pytest.CaptureFixture, tmp_path: pathlib.Path, ait_stub_for_err: str, ): mocker.patch.object( sys, "argv", ["qunomon-lite", "run", ait_stub_for_err], ) mocker.patch.object(ait, "OUTPUT_ROOT_DIR_PATH", tmp_path) with pytest.raises(SystemExit) as e: cli.main() assert e.value.code == 1 cap = capsys.readouterr() assert ( "Running docker container (image: qunomon-lite/ait-stub-for-err:latest)" in cap.out ) assert "Finished! run-id: " not in cap.out assert ( "AIT docker container running succeeded, " + "but AIT execution error occured. " + "Error Code: E901, Error Detail: Traceback (most recent call last):" in cap.err ) def test_main_run_docker_error( self, mocker: MockerFixture, capsys: pytest.CaptureFixture, tmp_path: pathlib.Path, ): mocker.patch.object( sys, "argv", ["qunomon-lite", "run", "repo/name:ver"], ) mocker.patch.object(ait, "OUTPUT_ROOT_DIR_PATH", tmp_path) mocker.patch.object( ait_core.Runner, "_docker_run", side_effect=docker.errors.APIError("dummy docker api error"), ) with pytest.raises(SystemExit) as e: cli.main() assert e.value.code == 1 cap = capsys.readouterr() assert "Running docker container (image: repo/name:ver)" in cap.out assert "Finished! run-id: " not in cap.out assert "dummy docker api error" in cap.err class TestSubCommandForResultShow: MESSAGE_FOR_USAGE = _dedent( """ usage: qunomon-lite result-show [-h] run_id positional arguments: run_id optional arguments: -h, --help show this help message and exit """ ) if sys.version_info >= (3, 10): MESSAGE_FOR_USAGE = _dedent( """ usage: qunomon-lite result-show [-h] run_id positional arguments: run_id options: -h, --help show this help message and exit """ ) @pytest.mark.parametrize( "args", [ (["result-show", "-h"]), (["result-show", "--help"]), ], ) def test_main_help( self, mocker: MockerFixture, capsys: pytest.CaptureFixture, args: List[str], ): mocker.patch.object( sys, "argv", ["qunomon-lite", *args], ) with pytest.raises(SystemExit) as e: cli.main() assert e.value.code == 0 cap = capsys.readouterr() assert cap.out == self.MESSAGE_FOR_USAGE assert cap.err == "" @pytest.mark.parametrize( "args,err_msg", [ ( ["result-show", "--dummy"], "the following arguments are required: run_id", ), ( ["result-show", "-d"], "the following arguments are required: run_id", ), ], ) def test_main_invalid_args( self, mocker: MockerFixture, capsys: pytest.CaptureFixture, args: List[str], err_msg: str, ): mocker.patch.object( sys, "argv", ["qunomon-lite", *args], ) with pytest.raises(SystemExit) as e: cli.main() assert e.value.code == 2 cap = capsys.readouterr() assert cap.out == "" assert cap.err == _dedent( """ usage: qunomon-lite result-show [-h] run_id qunomon-lite result-show: error: %s """ % err_msg ) def test_main_result_show( self, mocker: MockerFixture, capsys: pytest.CaptureFixture, shared_datadir: pathlib.Path, ): mocker.patch.object( sys, "argv", ["qunomon-lite", "result-show", "latest"], ) mocker.patch.object(ait, "console", Console(width=10000)) mocker.patch.object(ait, "OUTPUT_ROOT_DIR_PATH", shared_datadir / "output_dirs") cli.main() cap = capsys.readouterr() assert ( str(shared_datadir.resolve() / "output_dirs/output4/-/-/ait.output.json") in cap.out ) assert "Name: eval_mnist_acc_tf2.3" in cap.out assert "Version: 0.1" in cap.out assert re.search(r"Accuracy\s+0.81652", cap.out) assert cap.err == "" def test_main_result_show_full_option( self, mocker: MockerFixture, capsys: pytest.CaptureFixture, shared_datadir: pathlib.Path, ): mocker.patch.object( sys, "argv", ["qunomon-lite", "result-show", "output1"], ) mocker.patch.object(ait, "console", Console(width=10000)) mocker.patch.object(ait, "OUTPUT_ROOT_DIR_PATH", shared_datadir / "output_dirs") cli.main() cap = capsys.readouterr() assert ( str(shared_datadir.resolve() / "output_dirs/output1/-/-/ait.output.json") in cap.out ) assert "Name: eval_mnist_acc_tf2.3" in cap.out assert "Version: 0.1" in cap.out assert re.search(r"Accuracy\s+0.81651", cap.out) assert cap.err == ""

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null

0

1

0

null

0

5

29d336fa070ec95a846e24b00ba79fa4c8e57839

4,036

py

Python

home/models.py

AbdulBsit/alfred

c3e876c828a9c57b40249f9652812ca71b468508

[ "bzip2-1.0.6" ]

null

home/models.py

AbdulBsit/alfred

c3e876c828a9c57b40249f9652812ca71b468508

[ "bzip2-1.0.6" ]

5

2021-03-19T00:00:20.000Z

2021-09-22T18:37:38.000Z

home/models.py

AbdulBsit/alfred

c3e876c828a9c57b40249f9652812ca71b468508

[ "bzip2-1.0.6" ]

null

from django.db import models from datetime import datetime class Contact(models.Model): con_id = models.AutoField(primary_key = True) date = models.DateField(default=datetime.now) name = models.CharField(max_length=100,default="") phone = models.CharField(max_length=100,default="") email = models.CharField(max_length=100,default="") organization = models.CharField(max_length=100,default="") message = models.CharField(max_length=2000,default="") def __str__(self): return '%d %s %s' % (self.con_id, self.name, self.date) class Applying(models.Model): app_id = models.AutoField(primary_key = True) date = models.DateField(default=datetime.now) firstname = models.CharField(max_length=50, default="") lastname = models.CharField(max_length=50, default="") phone = models.CharField(max_length=15, default="") email = models.EmailField(max_length=50, default="") position = models.CharField(max_length=50, default="") linkedin = models.CharField(max_length=150, default="") github = models.CharField(max_length=150, default="") portfolio = models.CharField(max_length=150, default="") other = models.CharField(max_length=150, default="") twitter = models.CharField(max_length=150, default="") aspiration = models.CharField(max_length=500, default="") skills = models.CharField(max_length=500, default="") project = models.CharField(max_length=500, default="") techstack = models.CharField(max_length=500, default="") education = models.CharField(max_length=500, default="") availablity = models.CharField(max_length=500, default="") protfoliolink = models.CharField(max_length=500, default="") opensourcecommit = models.CharField(max_length=1000, default="") resume = models.CharField(max_length=1000, default="") def __str__(self): return '%d %s %s %s %s' % (self.app_id, self.firstname, self.lastname, self.date, self.position) class AdminUpdate(models.Model): admin_id = models.AutoField(primary_key = True) fullname = models.CharField(max_length=50) email = models.CharField(max_length=100) phone = models.CharField(max_length=15) position = models.CharField(max_length=100) def __str__(self): return '%s %s' % (self.fullname, self.position) class SelectIntern1(models.Model): app_id = models.IntegerField() task1name = models.CharField(max_length=500, default="") task1link = models.CharField(max_length=1000, default="") applicantEmail = models.CharField(max_length=100,default="") def __str__(self): return '%d %s' % (self.app_id, self.applicantEmail) class SelectIntern2(models.Model): app_id = models.IntegerField() task2name = models.CharField(max_length=500, default="") task2link = models.CharField(max_length=1000, default="") applicantEmail = models.CharField(max_length=100,default="") def __str__(self): return '%d %s' % (self.app_id, self.applicantEmail) class SelectIntern3(models.Model): app_id = models.IntegerField() task3name = models.CharField(max_length=500, default="") task3link = models.CharField(max_length=1000, default="") applicantEmail = models.CharField(max_length=100,default="") def __str__(self): return '%d %s' % (self.app_id, self.applicantEmail) class Solution1(models.Model): solution1 = models.CharField(max_length=500, default="") appid = models.CharField(max_length=10,default="") def __str__(self): return '%s' % (self.appid) class Solution2(models.Model): solution2 = models.CharField(max_length=500, default="") appid = models.CharField(max_length=10,default="") def __str__(self): return '%s' % (self.appid) class Solution3(models.Model): solution3 = models.CharField(max_length=500, default="") appid = models.CharField(max_length=10,default="") def __str__(self): return '%s' % (self.appid)

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null

0

1

0

5

29e6b0a219a389502ea8259582679b23beaee1eb

20

py

Python

checkov/version.py

shaneutt/checkov

cf792b74b87b767eb6ef35cbec7c3355bb9b2343

[ "Apache-2.0" ]

1

2020-07-26T17:56:20.000Z

checkov/version.py

shaneutt/checkov

cf792b74b87b767eb6ef35cbec7c3355bb9b2343

[ "Apache-2.0" ]

1

2021-06-02T03:40:50.000Z

checkov/version.py

shaneutt/checkov

cf792b74b87b767eb6ef35cbec7c3355bb9b2343

[ "Apache-2.0" ]

null

version = '1.0.412'

10

19

0.6

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null

0

1

0

1

0

1

0

null

0

5

d9b1a99e3dd3226ad088be36d147d376352bb33d

195

py

Python

python3.4Smartforest/lib/python3.4/site-packages/django/contrib/humanize/apps.py

letouriste001/SmartForest_2.0

109b78bf1e8c8404800f377ab969395ccbb617be

[ "MIT" ]

null

python3.4Smartforest/lib/python3.4/site-packages/django/contrib/humanize/apps.py

letouriste001/SmartForest_2.0

109b78bf1e8c8404800f377ab969395ccbb617be

[ "MIT" ]

null

python3.4Smartforest/lib/python3.4/site-packages/django/contrib/humanize/apps.py

letouriste001/SmartForest_2.0

109b78bf1e8c8404800f377ab969395ccbb617be

[ "MIT" ]

null

from django.apps import AppConfig from django.utils.translation import ugettext_lazy as _ class HumanizeConfig(AppConfig): name = 'django.contrib.humanize' verbose_name = _("Humanize")

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null

0

1

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1

0

5

d9cefdcc373048155e71173e179015d3e06cbb9a

30

py

Python

pynder/models/base.py

phbprogramming/HackTX2018

032d2cb0577c17907836f49a0e2dd7592ae0a1b2

[ "BSD-3-Clause" ]

null

pynder/models/base.py

phbprogramming/HackTX2018

032d2cb0577c17907836f49a0e2dd7592ae0a1b2

[ "BSD-3-Clause" ]

2

2017-10-12T05:59:39.000Z

2017-11-16T02:16:05.000Z

pynder/models/base.py

phbprogramming/HackTX2018

032d2cb0577c17907836f49a0e2dd7592ae0a1b2

[ "BSD-3-Clause" ]

1

2019-02-03T19:59:42.000Z

class Model(object): pass

10

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1

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null

0

1

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null

0

1

0

5

d9d771ca04cac4d28d28083b900b6f7311f89fae

87

py

Python

ontology/logistic_regression/sherlock/listify_circuits_k06_forward.py

ehbeam/neuro-knowledge-engine

9dc56ade0bbbd8d14f0660774f787c3f46d7e632

[ "MIT" ]

15

2020-07-17T07:10:26.000Z

2022-02-18T05:51:45.000Z

ontology/neural_network/sherlock/listify_circuits_k06_forward.py

YifeiCAO/neuro-knowledge-engine

9dc56ade0bbbd8d14f0660774f787c3f46d7e632

[ "MIT" ]

2

2022-01-14T09:10:12.000Z

2022-01-28T17:32:42.000Z

ontology/neural_network/sherlock/listify_circuits_k06_forward.py

YifeiCAO/neuro-knowledge-engine

9dc56ade0bbbd8d14f0660774f787c3f46d7e632

[ "MIT" ]

4

2021-12-22T13:27:32.000Z

2022-02-18T05:51:47.000Z

#!/bin/python import listify_circuits listify_circuits.optimize_circuits(6, 'forward')

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0.827586

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0.727273

0.434783

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87

4

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21.75

0.829268

0.137931

0

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d9e81225dd53e21ad12b133413fa1887ab1d8988

55

py

Python

tasks/crypto70/code/flag.py

internetwache/Internetwache-CTF-2016

a511b0ff2f48452a285f19d68a819ea81ecbf099

[ "MIT" ]

83

2016-02-21T12:28:17.000Z

2021-09-16T13:03:12.000Z

tasks/crypto70/code/flag.py

internetwache/Internetwache-CTF-2016

a511b0ff2f48452a285f19d68a819ea81ecbf099

[ "MIT" ]

1

2016-02-22T00:00:15.000Z

2016-02-22T00:09:57.000Z

tasks/crypto70/code/flag.py

internetwache/Internetwache-CTF-2016

a511b0ff2f48452a285f19d68a819ea81ecbf099

[ "MIT" ]

33

2016-02-22T04:51:24.000Z

2020-09-22T15:30:16.000Z

FLAG = "IW{FUCK_YOU_HASH_MY_ASS}" HASH = "00006800007d"

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8a09bbac2776b4e49d2259cf22e3ac249375fbc7

121,229

py

Python

Tools/python37/Lib/test/test_email/test__header_value_parser.py

xxroot/android_universal

af2d8627182f936383d792c1f775d87da50f2f6d

[ "MIT" ]

207

2018-10-01T08:53:01.000Z

2022-03-14T12:15:54.000Z

Tools/python37/Lib/test/test_email/test__header_value_parser.py

xxroot/android_universal

af2d8627182f936383d792c1f775d87da50f2f6d

[ "MIT" ]

8

2019-06-29T14:18:51.000Z

2022-02-19T07:30:27.000Z

Tools/python37/Lib/test/test_email/test__header_value_parser.py

xxroot/android_universal

af2d8627182f936383d792c1f775d87da50f2f6d

[ "MIT" ]

53

2019-03-12T16:50:21.000Z

2022-03-15T23:16:18.000Z

import string import unittest from email import _header_value_parser as parser from email import errors from email import policy from test.test_email import TestEmailBase, parameterize class TestTokens(TestEmailBase): # EWWhiteSpaceTerminal def test_EWWhiteSpaceTerminal(self): x = parser.EWWhiteSpaceTerminal(' \t', 'fws') self.assertEqual(x, ' \t') self.assertEqual(str(x), '') self.assertEqual(x.value, '') self.assertEqual(x.token_type, 'fws') class TestParserMixin: def _assert_results(self, tl, rest, string, value, defects, remainder, comments=None): self.assertEqual(str(tl), string) self.assertEqual(tl.value, value) self.assertDefectsEqual(tl.all_defects, defects) self.assertEqual(rest, remainder) if comments is not None: self.assertEqual(tl.comments, comments) def _test_get_x(self, method, source, string, value, defects, remainder, comments=None): tl, rest = method(source) self._assert_results(tl, rest, string, value, defects, remainder, comments=None) return tl def _test_parse_x(self, method, input, string, value, defects, comments=None): tl = method(input) self._assert_results(tl, '', string, value, defects, '', comments) return tl class TestParser(TestParserMixin, TestEmailBase): # _wsp_splitter rfc_printable_ascii = bytes(range(33, 127)).decode('ascii') rfc_atext_chars = (string.ascii_letters + string.digits + "!#$%&\'*+-/=?^_`{}|~") rfc_dtext_chars = rfc_printable_ascii.translate(str.maketrans('','',r'\[]')) def test__wsp_splitter_one_word(self): self.assertEqual(parser._wsp_splitter('foo', 1), ['foo']) def test__wsp_splitter_two_words(self): self.assertEqual(parser._wsp_splitter('foo def', 1), ['foo', ' ', 'def']) def test__wsp_splitter_ws_runs(self): self.assertEqual(parser._wsp_splitter('foo \t def jik', 1), ['foo', ' \t ', 'def jik']) # get_fws def test_get_fws_only(self): fws = self._test_get_x(parser.get_fws, ' \t ', ' \t ', ' ', [], '') self.assertEqual(fws.token_type, 'fws') def test_get_fws_space(self): self._test_get_x(parser.get_fws, ' foo', ' ', ' ', [], 'foo') def test_get_fws_ws_run(self): self._test_get_x(parser.get_fws, ' \t foo ', ' \t ', ' ', [], 'foo ') # get_encoded_word def test_get_encoded_word_missing_start_raises(self): with self.assertRaises(errors.HeaderParseError): parser.get_encoded_word('abc') def test_get_encoded_word_missing_end_raises(self): with self.assertRaises(errors.HeaderParseError): parser.get_encoded_word('=?abc') def test_get_encoded_word_missing_middle_raises(self): with self.assertRaises(errors.HeaderParseError): parser.get_encoded_word('=?abc?=') def test_get_encoded_word_valid_ew(self): self._test_get_x(parser.get_encoded_word, '=?us-ascii?q?this_is_a_test?= bird', 'this is a test', 'this is a test', [], ' bird') def test_get_encoded_word_internal_spaces(self): self._test_get_x(parser.get_encoded_word, '=?us-ascii?q?this is a test?= bird', 'this is a test', 'this is a test', [errors.InvalidHeaderDefect], ' bird') def test_get_encoded_word_gets_first(self): self._test_get_x(parser.get_encoded_word, '=?us-ascii?q?first?= =?utf-8?q?second?=', 'first', 'first', [], ' =?utf-8?q?second?=') def test_get_encoded_word_gets_first_even_if_no_space(self): self._test_get_x(parser.get_encoded_word, '=?us-ascii?q?first?==?utf-8?q?second?=', 'first', 'first', [], '=?utf-8?q?second?=') def test_get_encoded_word_sets_extra_attributes(self): ew = self._test_get_x(parser.get_encoded_word, '=?us-ascii*jive?q?first_second?=', 'first second', 'first second', [], '') self.assertEqual(ew.charset, 'us-ascii') self.assertEqual(ew.lang, 'jive') def test_get_encoded_word_lang_default_is_blank(self): ew = self._test_get_x(parser.get_encoded_word, '=?us-ascii?q?first_second?=', 'first second', 'first second', [], '') self.assertEqual(ew.charset, 'us-ascii') self.assertEqual(ew.lang, '') def test_get_encoded_word_non_printable_defect(self): self._test_get_x(parser.get_encoded_word, '=?us-ascii?q?first\x02second?=', 'first\x02second', 'first\x02second', [errors.NonPrintableDefect], '') def test_get_encoded_word_leading_internal_space(self): self._test_get_x(parser.get_encoded_word, '=?us-ascii?q?=20foo?=', ' foo', ' foo', [], '') def test_get_encoded_word_quopri_utf_escape_follows_cte(self): # Issue 18044 self._test_get_x(parser.get_encoded_word, '=?utf-8?q?=C3=89ric?=', 'Éric', 'Éric', [], '') # get_unstructured def _get_unst(self, value): token = parser.get_unstructured(value) return token, '' def test_get_unstructured_null(self): self._test_get_x(self._get_unst, '', '', '', [], '') def test_get_unstructured_one_word(self): self._test_get_x(self._get_unst, 'foo', 'foo', 'foo', [], '') def test_get_unstructured_normal_phrase(self): self._test_get_x(self._get_unst, 'foo bar bird', 'foo bar bird', 'foo bar bird', [], '') def test_get_unstructured_normal_phrase_with_whitespace(self): self._test_get_x(self._get_unst, 'foo \t bar bird', 'foo \t bar bird', 'foo bar bird', [], '') def test_get_unstructured_leading_whitespace(self): self._test_get_x(self._get_unst, ' foo bar', ' foo bar', ' foo bar', [], '') def test_get_unstructured_trailing_whitespace(self): self._test_get_x(self._get_unst, 'foo bar ', 'foo bar ', 'foo bar ', [], '') def test_get_unstructured_leading_and_trailing_whitespace(self): self._test_get_x(self._get_unst, ' foo bar ', ' foo bar ', ' foo bar ', [], '') def test_get_unstructured_one_valid_ew_no_ws(self): self._test_get_x(self._get_unst, '=?us-ascii?q?bar?=', 'bar', 'bar', [], '') def test_get_unstructured_one_ew_trailing_ws(self): self._test_get_x(self._get_unst, '=?us-ascii?q?bar?= ', 'bar ', 'bar ', [], '') def test_get_unstructured_one_valid_ew_trailing_text(self): self._test_get_x(self._get_unst, '=?us-ascii?q?bar?= bird', 'bar bird', 'bar bird', [], '') def test_get_unstructured_phrase_with_ew_in_middle_of_text(self): self._test_get_x(self._get_unst, 'foo =?us-ascii?q?bar?= bird', 'foo bar bird', 'foo bar bird', [], '') def test_get_unstructured_phrase_with_two_ew(self): self._test_get_x(self._get_unst, 'foo =?us-ascii?q?bar?= =?us-ascii?q?bird?=', 'foo barbird', 'foo barbird', [], '') def test_get_unstructured_phrase_with_two_ew_trailing_ws(self): self._test_get_x(self._get_unst, 'foo =?us-ascii?q?bar?= =?us-ascii?q?bird?= ', 'foo barbird ', 'foo barbird ', [], '') def test_get_unstructured_phrase_with_ew_with_leading_ws(self): self._test_get_x(self._get_unst, ' =?us-ascii?q?bar?=', ' bar', ' bar', [], '') def test_get_unstructured_phrase_with_two_ew_extra_ws(self): self._test_get_x(self._get_unst, 'foo =?us-ascii?q?bar?= \t =?us-ascii?q?bird?=', 'foo barbird', 'foo barbird', [], '') def test_get_unstructured_two_ew_extra_ws_trailing_text(self): self._test_get_x(self._get_unst, '=?us-ascii?q?test?= =?us-ascii?q?foo?= val', 'testfoo val', 'testfoo val', [], '') def test_get_unstructured_ew_with_internal_ws(self): self._test_get_x(self._get_unst, '=?iso-8859-1?q?hello=20world?=', 'hello world', 'hello world', [], '') def test_get_unstructured_ew_with_internal_leading_ws(self): self._test_get_x(self._get_unst, ' =?us-ascii?q?=20test?= =?us-ascii?q?=20foo?= val', ' test foo val', ' test foo val', [], '') def test_get_unstructured_invaild_ew(self): self._test_get_x(self._get_unst, '=?test val', '=?test val', '=?test val', [], '') def test_get_unstructured_undecodable_bytes(self): self._test_get_x(self._get_unst, b'test \xACfoo val'.decode('ascii', 'surrogateescape'), 'test \uDCACfoo val', 'test \uDCACfoo val', [errors.UndecodableBytesDefect], '') def test_get_unstructured_undecodable_bytes_in_EW(self): self._test_get_x(self._get_unst, (b'=?us-ascii?q?=20test?= =?us-ascii?q?=20\xACfoo?=' b' val').decode('ascii', 'surrogateescape'), ' test \uDCACfoo val', ' test \uDCACfoo val', [errors.UndecodableBytesDefect]*2, '') def test_get_unstructured_missing_base64_padding(self): self._test_get_x(self._get_unst, '=?utf-8?b?dmk?=', 'vi', 'vi', [errors.InvalidBase64PaddingDefect], '') def test_get_unstructured_invalid_base64_character(self): self._test_get_x(self._get_unst, '=?utf-8?b?dm\x01k===?=', 'vi', 'vi', [errors.InvalidBase64CharactersDefect], '') def test_get_unstructured_invalid_base64_character_and_bad_padding(self): self._test_get_x(self._get_unst, '=?utf-8?b?dm\x01k?=', 'vi', 'vi', [errors.InvalidBase64CharactersDefect, errors.InvalidBase64PaddingDefect], '') def test_get_unstructured_invalid_base64_length(self): # bpo-27397: Return the encoded string since there's no way to decode. self._test_get_x(self._get_unst, '=?utf-8?b?abcde?=', 'abcde', 'abcde', [errors.InvalidBase64LengthDefect], '') def test_get_unstructured_no_whitespace_between_ews(self): self._test_get_x(self._get_unst, '=?utf-8?q?foo?==?utf-8?q?bar?=', 'foobar', 'foobar', [errors.InvalidHeaderDefect], '') # get_qp_ctext def test_get_qp_ctext_only(self): ptext = self._test_get_x(parser.get_qp_ctext, 'foobar', 'foobar', ' ', [], '') self.assertEqual(ptext.token_type, 'ptext') def test_get_qp_ctext_all_printables(self): with_qp = self.rfc_printable_ascii.replace('\\', '\\\\') with_qp = with_qp. replace('(', r'$') with_qp = with_qp.replace(')', r'$') ptext = self._test_get_x(parser.get_qp_ctext, with_qp, self.rfc_printable_ascii, ' ', [], '') def test_get_qp_ctext_two_words_gets_first(self): self._test_get_x(parser.get_qp_ctext, 'foo de', 'foo', ' ', [], ' de') def test_get_qp_ctext_following_wsp_preserved(self): self._test_get_x(parser.get_qp_ctext, 'foo \t\tde', 'foo', ' ', [], ' \t\tde') def test_get_qp_ctext_up_to_close_paren_only(self): self._test_get_x(parser.get_qp_ctext, 'foo)', 'foo', ' ', [], ')') def test_get_qp_ctext_wsp_before_close_paren_preserved(self): self._test_get_x(parser.get_qp_ctext, 'foo )', 'foo', ' ', [], ' )') def test_get_qp_ctext_close_paren_mid_word(self): self._test_get_x(parser.get_qp_ctext, 'foo)bar', 'foo', ' ', [], ')bar') def test_get_qp_ctext_up_to_open_paren_only(self): self._test_get_x(parser.get_qp_ctext, 'foo(', 'foo', ' ', [], '(') def test_get_qp_ctext_wsp_before_open_paren_preserved(self): self._test_get_x(parser.get_qp_ctext, 'foo (', 'foo', ' ', [], ' (') def test_get_qp_ctext_open_paren_mid_word(self): self._test_get_x(parser.get_qp_ctext, 'foo(bar', 'foo', ' ', [], '(bar') def test_get_qp_ctext_non_printables(self): ptext = self._test_get_x(parser.get_qp_ctext, 'foo\x00bar)', 'foo\x00bar', ' ', [errors.NonPrintableDefect], ')') self.assertEqual(ptext.defects[0].non_printables[0], '\x00') # get_qcontent def test_get_qcontent_only(self): ptext = self._test_get_x(parser.get_qcontent, 'foobar', 'foobar', 'foobar', [], '') self.assertEqual(ptext.token_type, 'ptext') def test_get_qcontent_all_printables(self): with_qp = self.rfc_printable_ascii.replace('\\', '\\\\') with_qp = with_qp. replace('"', r'\"') ptext = self._test_get_x(parser.get_qcontent, with_qp, self.rfc_printable_ascii, self.rfc_printable_ascii, [], '') def test_get_qcontent_two_words_gets_first(self): self._test_get_x(parser.get_qcontent, 'foo de', 'foo', 'foo', [], ' de') def test_get_qcontent_following_wsp_preserved(self): self._test_get_x(parser.get_qcontent, 'foo \t\tde', 'foo', 'foo', [], ' \t\tde') def test_get_qcontent_up_to_dquote_only(self): self._test_get_x(parser.get_qcontent, 'foo"', 'foo', 'foo', [], '"') def test_get_qcontent_wsp_before_close_paren_preserved(self): self._test_get_x(parser.get_qcontent, 'foo "', 'foo', 'foo', [], ' "') def test_get_qcontent_close_paren_mid_word(self): self._test_get_x(parser.get_qcontent, 'foo"bar', 'foo', 'foo', [], '"bar') def test_get_qcontent_non_printables(self): ptext = self._test_get_x(parser.get_qcontent, 'foo\x00fg"', 'foo\x00fg', 'foo\x00fg', [errors.NonPrintableDefect], '"') self.assertEqual(ptext.defects[0].non_printables[0], '\x00') # get_atext def test_get_atext_only(self): atext = self._test_get_x(parser.get_atext, 'foobar', 'foobar', 'foobar', [], '') self.assertEqual(atext.token_type, 'atext') def test_get_atext_all_atext(self): atext = self._test_get_x(parser.get_atext, self.rfc_atext_chars, self.rfc_atext_chars, self.rfc_atext_chars, [], '') def test_get_atext_two_words_gets_first(self): self._test_get_x(parser.get_atext, 'foo bar', 'foo', 'foo', [], ' bar') def test_get_atext_following_wsp_preserved(self): self._test_get_x(parser.get_atext, 'foo \t\tbar', 'foo', 'foo', [], ' \t\tbar') def test_get_atext_up_to_special(self): self._test_get_x(parser.get_atext, 'foo@bar', 'foo', 'foo', [], '@bar') def test_get_atext_non_printables(self): atext = self._test_get_x(parser.get_atext, 'foo\x00bar(', 'foo\x00bar', 'foo\x00bar', [errors.NonPrintableDefect], '(') self.assertEqual(atext.defects[0].non_printables[0], '\x00') # get_bare_quoted_string def test_get_bare_quoted_string_only(self): bqs = self._test_get_x(parser.get_bare_quoted_string, '"foo"', '"foo"', 'foo', [], '') self.assertEqual(bqs.token_type, 'bare-quoted-string') def test_get_bare_quoted_string_must_start_with_dquote(self): with self.assertRaises(errors.HeaderParseError): parser.get_bare_quoted_string('foo"') with self.assertRaises(errors.HeaderParseError): parser.get_bare_quoted_string(' "foo"') def test_get_bare_quoted_string_only_quotes(self): self._test_get_x(parser.get_bare_quoted_string, '""', '""', '', [], '') def test_get_bare_quoted_string_following_wsp_preserved(self): self._test_get_x(parser.get_bare_quoted_string, '"foo"\t bar', '"foo"', 'foo', [], '\t bar') def test_get_bare_quoted_string_multiple_words(self): self._test_get_x(parser.get_bare_quoted_string, '"foo bar moo"', '"foo bar moo"', 'foo bar moo', [], '') def test_get_bare_quoted_string_multiple_words_wsp_preserved(self): self._test_get_x(parser.get_bare_quoted_string, '" foo moo\t"', '" foo moo\t"', ' foo moo\t', [], '') def test_get_bare_quoted_string_end_dquote_mid_word(self): self._test_get_x(parser.get_bare_quoted_string, '"foo"bar', '"foo"', 'foo', [], 'bar') def test_get_bare_quoted_string_quoted_dquote(self): self._test_get_x(parser.get_bare_quoted_string, r'"foo\"in"a', r'"foo\"in"', 'foo"in', [], 'a') def test_get_bare_quoted_string_non_printables(self): self._test_get_x(parser.get_bare_quoted_string, '"a\x01a"', '"a\x01a"', 'a\x01a', [errors.NonPrintableDefect], '') def test_get_bare_quoted_string_no_end_dquote(self): self._test_get_x(parser.get_bare_quoted_string, '"foo', '"foo"', 'foo', [errors.InvalidHeaderDefect], '') self._test_get_x(parser.get_bare_quoted_string, '"foo ', '"foo "', 'foo ', [errors.InvalidHeaderDefect], '') def test_get_bare_quoted_string_empty_quotes(self): self._test_get_x(parser.get_bare_quoted_string, '""', '""', '', [], '') # Issue 16983: apply postel's law to some bad encoding. def test_encoded_word_inside_quotes(self): self._test_get_x(parser.get_bare_quoted_string, '"=?utf-8?Q?not_really_valid?="', '"not really valid"', 'not really valid', [errors.InvalidHeaderDefect], '') # get_comment def test_get_comment_only(self): comment = self._test_get_x(parser.get_comment, '(comment)', '(comment)', ' ', [], '', ['comment']) self.assertEqual(comment.token_type, 'comment') def test_get_comment_must_start_with_paren(self): with self.assertRaises(errors.HeaderParseError): parser.get_comment('foo"') with self.assertRaises(errors.HeaderParseError): parser.get_comment(' (foo"') def test_get_comment_following_wsp_preserved(self): self._test_get_x(parser.get_comment, '(comment) \t', '(comment)', ' ', [], ' \t', ['comment']) def test_get_comment_multiple_words(self): self._test_get_x(parser.get_comment, '(foo bar) \t', '(foo bar)', ' ', [], ' \t', ['foo bar']) def test_get_comment_multiple_words_wsp_preserved(self): self._test_get_x(parser.get_comment, '( foo bar\t ) \t', '( foo bar\t )', ' ', [], ' \t', [' foo bar\t ']) def test_get_comment_end_paren_mid_word(self): self._test_get_x(parser.get_comment, '(foo)bar', '(foo)', ' ', [], 'bar', ['foo']) def test_get_comment_quoted_parens(self): self._test_get_x(parser.get_comment, r'(foo\) bar)', r'(foo\) bar)', ' ', [], '', ['foo) ()bar']) def test_get_comment_non_printable(self): self._test_get_x(parser.get_comment, '(foo\x7Fbar)', '(foo\x7Fbar)', ' ', [errors.NonPrintableDefect], '', ['foo\x7Fbar']) def test_get_comment_no_end_paren(self): self._test_get_x(parser.get_comment, '(foo bar', '(foo bar)', ' ', [errors.InvalidHeaderDefect], '', ['foo bar']) self._test_get_x(parser.get_comment, '(foo bar ', '(foo bar )', ' ', [errors.InvalidHeaderDefect], '', ['foo bar ']) def test_get_comment_nested_comment(self): comment = self._test_get_x(parser.get_comment, '(foo(bar))', '(foo(bar))', ' ', [], '', ['foo(bar)']) self.assertEqual(comment[1].content, 'bar') def test_get_comment_nested_comment_wsp(self): comment = self._test_get_x(parser.get_comment, '(foo ( bar ) )', '(foo ( bar ) )', ' ', [], '', ['foo ( bar ) ']) self.assertEqual(comment[2].content, ' bar ') def test_get_comment_empty_comment(self): self._test_get_x(parser.get_comment, '()', '()', ' ', [], '', ['']) def test_get_comment_multiple_nesting(self): comment = self._test_get_x(parser.get_comment, '(((((foo)))))', '(((((foo)))))', ' ', [], '', ['((((foo))))']) for i in range(4, 0, -1): self.assertEqual(comment[0].content, '('*(i-1)+'foo'+')'*(i-1)) comment = comment[0] self.assertEqual(comment.content, 'foo') def test_get_comment_missing_end_of_nesting(self): self._test_get_x(parser.get_comment, '(((((foo)))', '(((((foo)))))', ' ', [errors.InvalidHeaderDefect]*2, '', ['((((foo))))']) def test_get_comment_qs_in_nested_comment(self): comment = self._test_get_x(parser.get_comment, r'(foo (b\)))', r'(foo (b\)))', ' ', [], '', [r'foo (b\))']) self.assertEqual(comment[2].content, 'b)') # get_cfws def test_get_cfws_only_ws(self): cfws = self._test_get_x(parser.get_cfws, ' \t \t', ' \t \t', ' ', [], '', []) self.assertEqual(cfws.token_type, 'cfws') def test_get_cfws_only_comment(self): cfws = self._test_get_x(parser.get_cfws, '(foo)', '(foo)', ' ', [], '', ['foo']) self.assertEqual(cfws[0].content, 'foo') def test_get_cfws_only_mixed(self): cfws = self._test_get_x(parser.get_cfws, ' (foo ) ( bar) ', ' (foo ) ( bar) ', ' ', [], '', ['foo ', ' bar']) self.assertEqual(cfws[1].content, 'foo ') self.assertEqual(cfws[3].content, ' bar') def test_get_cfws_ends_at_non_leader(self): cfws = self._test_get_x(parser.get_cfws, '(foo) bar', '(foo) ', ' ', [], 'bar', ['foo']) self.assertEqual(cfws[0].content, 'foo') def test_get_cfws_ends_at_non_printable(self): cfws = self._test_get_x(parser.get_cfws, '(foo) \x07', '(foo) ', ' ', [], '\x07', ['foo']) self.assertEqual(cfws[0].content, 'foo') def test_get_cfws_non_printable_in_comment(self): cfws = self._test_get_x(parser.get_cfws, '(foo \x07) "test"', '(foo \x07) ', ' ', [errors.NonPrintableDefect], '"test"', ['foo \x07']) self.assertEqual(cfws[0].content, 'foo \x07') def test_get_cfws_header_ends_in_comment(self): cfws = self._test_get_x(parser.get_cfws, ' (foo ', ' (foo )', ' ', [errors.InvalidHeaderDefect], '', ['foo ']) self.assertEqual(cfws[1].content, 'foo ') def test_get_cfws_multiple_nested_comments(self): cfws = self._test_get_x(parser.get_cfws, '(foo (bar)) ((a)(a))', '(foo (bar)) ((a)(a))', ' ', [], '', ['foo (bar)', '(a)(a)']) self.assertEqual(cfws[0].comments, ['foo (bar)']) self.assertEqual(cfws[2].comments, ['(a)(a)']) # get_quoted_string def test_get_quoted_string_only(self): qs = self._test_get_x(parser.get_quoted_string, '"bob"', '"bob"', 'bob', [], '') self.assertEqual(qs.token_type, 'quoted-string') self.assertEqual(qs.quoted_value, '"bob"') self.assertEqual(qs.content, 'bob') def test_get_quoted_string_with_wsp(self): qs = self._test_get_x(parser.get_quoted_string, '\t "bob" ', '\t "bob" ', ' bob ', [], '') self.assertEqual(qs.quoted_value, ' "bob" ') self.assertEqual(qs.content, 'bob') def test_get_quoted_string_with_comments_and_wsp(self): qs = self._test_get_x(parser.get_quoted_string, ' (foo) "bob"(bar)', ' (foo) "bob"(bar)', ' bob ', [], '') self.assertEqual(qs[0][1].content, 'foo') self.assertEqual(qs[2][0].content, 'bar') self.assertEqual(qs.content, 'bob') self.assertEqual(qs.quoted_value, ' "bob" ') def test_get_quoted_string_with_multiple_comments(self): qs = self._test_get_x(parser.get_quoted_string, ' (foo) (bar) "bob"(bird)', ' (foo) (bar) "bob"(bird)', ' bob ', [], '') self.assertEqual(qs[0].comments, ['foo', 'bar']) self.assertEqual(qs[2].comments, ['bird']) self.assertEqual(qs.content, 'bob') self.assertEqual(qs.quoted_value, ' "bob" ') def test_get_quoted_string_non_printable_in_comment(self): qs = self._test_get_x(parser.get_quoted_string, ' (\x0A) "bob"', ' (\x0A) "bob"', ' bob', [errors.NonPrintableDefect], '') self.assertEqual(qs[0].comments, ['\x0A']) self.assertEqual(qs.content, 'bob') self.assertEqual(qs.quoted_value, ' "bob"') def test_get_quoted_string_non_printable_in_qcontent(self): qs = self._test_get_x(parser.get_quoted_string, ' (a) "a\x0B"', ' (a) "a\x0B"', ' a\x0B', [errors.NonPrintableDefect], '') self.assertEqual(qs[0].comments, ['a']) self.assertEqual(qs.content, 'a\x0B') self.assertEqual(qs.quoted_value, ' "a\x0B"') def test_get_quoted_string_internal_ws(self): qs = self._test_get_x(parser.get_quoted_string, ' (a) "foo bar "', ' (a) "foo bar "', ' foo bar ', [], '') self.assertEqual(qs[0].comments, ['a']) self.assertEqual(qs.content, 'foo bar ') self.assertEqual(qs.quoted_value, ' "foo bar "') def test_get_quoted_string_header_ends_in_comment(self): qs = self._test_get_x(parser.get_quoted_string, ' (a) "bob" (a', ' (a) "bob" (a)', ' bob ', [errors.InvalidHeaderDefect], '') self.assertEqual(qs[0].comments, ['a']) self.assertEqual(qs[2].comments, ['a']) self.assertEqual(qs.content, 'bob') self.assertEqual(qs.quoted_value, ' "bob" ') def test_get_quoted_string_header_ends_in_qcontent(self): qs = self._test_get_x(parser.get_quoted_string, ' (a) "bob', ' (a) "bob"', ' bob', [errors.InvalidHeaderDefect], '') self.assertEqual(qs[0].comments, ['a']) self.assertEqual(qs.content, 'bob') self.assertEqual(qs.quoted_value, ' "bob"') def test_get_quoted_string_no_quoted_string(self): with self.assertRaises(errors.HeaderParseError): parser.get_quoted_string(' (ab) xyz') def test_get_quoted_string_qs_ends_at_noncfws(self): qs = self._test_get_x(parser.get_quoted_string, '\t "bob" fee', '\t "bob" ', ' bob ', [], 'fee') self.assertEqual(qs.content, 'bob') self.assertEqual(qs.quoted_value, ' "bob" ') # get_atom def test_get_atom_only(self): atom = self._test_get_x(parser.get_atom, 'bob', 'bob', 'bob', [], '') self.assertEqual(atom.token_type, 'atom') def test_get_atom_with_wsp(self): self._test_get_x(parser.get_atom, '\t bob ', '\t bob ', ' bob ', [], '') def test_get_atom_with_comments_and_wsp(self): atom = self._test_get_x(parser.get_atom, ' (foo) bob(bar)', ' (foo) bob(bar)', ' bob ', [], '') self.assertEqual(atom[0][1].content, 'foo') self.assertEqual(atom[2][0].content, 'bar') def test_get_atom_with_multiple_comments(self): atom = self._test_get_x(parser.get_atom, ' (foo) (bar) bob(bird)', ' (foo) (bar) bob(bird)', ' bob ', [], '') self.assertEqual(atom[0].comments, ['foo', 'bar']) self.assertEqual(atom[2].comments, ['bird']) def test_get_atom_non_printable_in_comment(self): atom = self._test_get_x(parser.get_atom, ' (\x0A) bob', ' (\x0A) bob', ' bob', [errors.NonPrintableDefect], '') self.assertEqual(atom[0].comments, ['\x0A']) def test_get_atom_non_printable_in_atext(self): atom = self._test_get_x(parser.get_atom, ' (a) a\x0B', ' (a) a\x0B', ' a\x0B', [errors.NonPrintableDefect], '') self.assertEqual(atom[0].comments, ['a']) def test_get_atom_header_ends_in_comment(self): atom = self._test_get_x(parser.get_atom, ' (a) bob (a', ' (a) bob (a)', ' bob ', [errors.InvalidHeaderDefect], '') self.assertEqual(atom[0].comments, ['a']) self.assertEqual(atom[2].comments, ['a']) def test_get_atom_no_atom(self): with self.assertRaises(errors.HeaderParseError): parser.get_atom(' (ab) ') def test_get_atom_no_atom_before_special(self): with self.assertRaises(errors.HeaderParseError): parser.get_atom(' (ab) @') def test_get_atom_atom_ends_at_special(self): atom = self._test_get_x(parser.get_atom, ' (foo) bob(bar) @bang', ' (foo) bob(bar) ', ' bob ', [], '@bang') self.assertEqual(atom[0].comments, ['foo']) self.assertEqual(atom[2].comments, ['bar']) def test_get_atom_atom_ends_at_noncfws(self): self._test_get_x(parser.get_atom, 'bob fred', 'bob ', 'bob ', [], 'fred') def test_get_atom_rfc2047_atom(self): self._test_get_x(parser.get_atom, '=?utf-8?q?=20bob?=', ' bob', ' bob', [], '') # get_dot_atom_text def test_get_dot_atom_text(self): dot_atom_text = self._test_get_x(parser.get_dot_atom_text, 'foo.bar.bang', 'foo.bar.bang', 'foo.bar.bang', [], '') self.assertEqual(dot_atom_text.token_type, 'dot-atom-text') self.assertEqual(len(dot_atom_text), 5) def test_get_dot_atom_text_lone_atom_is_valid(self): dot_atom_text = self._test_get_x(parser.get_dot_atom_text, 'foo', 'foo', 'foo', [], '') def test_get_dot_atom_text_raises_on_leading_dot(self): with self.assertRaises(errors.HeaderParseError): parser.get_dot_atom_text('.foo.bar') def test_get_dot_atom_text_raises_on_trailing_dot(self): with self.assertRaises(errors.HeaderParseError): parser.get_dot_atom_text('foo.bar.') def test_get_dot_atom_text_raises_on_leading_non_atext(self): with self.assertRaises(errors.HeaderParseError): parser.get_dot_atom_text(' foo.bar') with self.assertRaises(errors.HeaderParseError): parser.get_dot_atom_text('@foo.bar') with self.assertRaises(errors.HeaderParseError): parser.get_dot_atom_text('"foo.bar"') def test_get_dot_atom_text_trailing_text_preserved(self): dot_atom_text = self._test_get_x(parser.get_dot_atom_text, 'foo@bar', 'foo', 'foo', [], '@bar') def test_get_dot_atom_text_trailing_ws_preserved(self): dot_atom_text = self._test_get_x(parser.get_dot_atom_text, 'foo .bar', 'foo', 'foo', [], ' .bar') # get_dot_atom def test_get_dot_atom_only(self): dot_atom = self._test_get_x(parser.get_dot_atom, 'foo.bar.bing', 'foo.bar.bing', 'foo.bar.bing', [], '') self.assertEqual(dot_atom.token_type, 'dot-atom') self.assertEqual(len(dot_atom), 1) def test_get_dot_atom_with_wsp(self): self._test_get_x(parser.get_dot_atom, '\t foo.bar.bing ', '\t foo.bar.bing ', ' foo.bar.bing ', [], '') def test_get_dot_atom_with_comments_and_wsp(self): self._test_get_x(parser.get_dot_atom, ' (sing) foo.bar.bing (here) ', ' (sing) foo.bar.bing (here) ', ' foo.bar.bing ', [], '') def test_get_dot_atom_space_ends_dot_atom(self): self._test_get_x(parser.get_dot_atom, ' (sing) foo.bar .bing (here) ', ' (sing) foo.bar ', ' foo.bar ', [], '.bing (here) ') def test_get_dot_atom_no_atom_raises(self): with self.assertRaises(errors.HeaderParseError): parser.get_dot_atom(' (foo) ') def test_get_dot_atom_leading_dot_raises(self): with self.assertRaises(errors.HeaderParseError): parser.get_dot_atom(' (foo) .bar') def test_get_dot_atom_two_dots_raises(self): with self.assertRaises(errors.HeaderParseError): parser.get_dot_atom('bar..bang') def test_get_dot_atom_trailing_dot_raises(self): with self.assertRaises(errors.HeaderParseError): parser.get_dot_atom(' (foo) bar.bang. foo') def test_get_dot_atom_rfc2047_atom(self): self._test_get_x(parser.get_dot_atom, '=?utf-8?q?=20bob?=', ' bob', ' bob', [], '') # get_word (if this were black box we'd repeat all the qs/atom tests) def test_get_word_atom_yields_atom(self): word = self._test_get_x(parser.get_word, ' (foo) bar (bang) :ah', ' (foo) bar (bang) ', ' bar ', [], ':ah') self.assertEqual(word.token_type, 'atom') self.assertEqual(word[0].token_type, 'cfws') def test_get_word_qs_yields_qs(self): word = self._test_get_x(parser.get_word, '"bar " (bang) ah', '"bar " (bang) ', 'bar ', [], 'ah') self.assertEqual(word.token_type, 'quoted-string') self.assertEqual(word[0].token_type, 'bare-quoted-string') self.assertEqual(word[0].value, 'bar ') self.assertEqual(word.content, 'bar ') def test_get_word_ends_at_dot(self): self._test_get_x(parser.get_word, 'foo.', 'foo', 'foo', [], '.') # get_phrase def test_get_phrase_simple(self): phrase = self._test_get_x(parser.get_phrase, '"Fred A. Johnson" is his name, oh.', '"Fred A. Johnson" is his name', 'Fred A. Johnson is his name', [], ', oh.') self.assertEqual(phrase.token_type, 'phrase') def test_get_phrase_complex(self): phrase = self._test_get_x(parser.get_phrase, ' (A) bird (in (my|your)) "hand " is messy\t<>\t', ' (A) bird (in (my|your)) "hand " is messy\t', ' bird hand is messy ', [], '<>\t') self.assertEqual(phrase[0][0].comments, ['A']) self.assertEqual(phrase[0][2].comments, ['in (my|your)']) def test_get_phrase_obsolete(self): phrase = self._test_get_x(parser.get_phrase, 'Fred A.(weird).O Johnson', 'Fred A.(weird).O Johnson', 'Fred A. .O Johnson', [errors.ObsoleteHeaderDefect]*3, '') self.assertEqual(len(phrase), 7) self.assertEqual(phrase[3].comments, ['weird']) def test_get_phrase_pharse_must_start_with_word(self): phrase = self._test_get_x(parser.get_phrase, '(even weirder).name', '(even weirder).name', ' .name', [errors.InvalidHeaderDefect] + [errors.ObsoleteHeaderDefect]*2, '') self.assertEqual(len(phrase), 3) self.assertEqual(phrase[0].comments, ['even weirder']) def test_get_phrase_ending_with_obsolete(self): phrase = self._test_get_x(parser.get_phrase, 'simple phrase.(with trailing comment):boo', 'simple phrase.(with trailing comment)', 'simple phrase. ', [errors.ObsoleteHeaderDefect]*2, ':boo') self.assertEqual(len(phrase), 4) self.assertEqual(phrase[3].comments, ['with trailing comment']) def get_phrase_cfws_only_raises(self): with self.assertRaises(errors.HeaderParseError): parser.get_phrase(' (foo) ') # get_local_part def test_get_local_part_simple(self): local_part = self._test_get_x(parser.get_local_part, 'dinsdale@python.org', 'dinsdale', 'dinsdale', [], '@python.org') self.assertEqual(local_part.token_type, 'local-part') self.assertEqual(local_part.local_part, 'dinsdale') def test_get_local_part_with_dot(self): local_part = self._test_get_x(parser.get_local_part, 'Fred.A.Johnson@python.org', 'Fred.A.Johnson', 'Fred.A.Johnson', [], '@python.org') self.assertEqual(local_part.local_part, 'Fred.A.Johnson') def test_get_local_part_with_whitespace(self): local_part = self._test_get_x(parser.get_local_part, ' Fred.A.Johnson @python.org', ' Fred.A.Johnson ', ' Fred.A.Johnson ', [], '@python.org') self.assertEqual(local_part.local_part, 'Fred.A.Johnson') def test_get_local_part_with_cfws(self): local_part = self._test_get_x(parser.get_local_part, ' (foo) Fred.A.Johnson (bar (bird)) @python.org', ' (foo) Fred.A.Johnson (bar (bird)) ', ' Fred.A.Johnson ', [], '@python.org') self.assertEqual(local_part.local_part, 'Fred.A.Johnson') self.assertEqual(local_part[0][0].comments, ['foo']) self.assertEqual(local_part[0][2].comments, ['bar (bird)']) def test_get_local_part_simple_quoted(self): local_part = self._test_get_x(parser.get_local_part, '"dinsdale"@python.org', '"dinsdale"', '"dinsdale"', [], '@python.org') self.assertEqual(local_part.token_type, 'local-part') self.assertEqual(local_part.local_part, 'dinsdale') def test_get_local_part_with_quoted_dot(self): local_part = self._test_get_x(parser.get_local_part, '"Fred.A.Johnson"@python.org', '"Fred.A.Johnson"', '"Fred.A.Johnson"', [], '@python.org') self.assertEqual(local_part.local_part, 'Fred.A.Johnson') def test_get_local_part_quoted_with_whitespace(self): local_part = self._test_get_x(parser.get_local_part, ' "Fred A. Johnson" @python.org', ' "Fred A. Johnson" ', ' "Fred A. Johnson" ', [], '@python.org') self.assertEqual(local_part.local_part, 'Fred A. Johnson') def test_get_local_part_quoted_with_cfws(self): local_part = self._test_get_x(parser.get_local_part, ' (foo) " Fred A. Johnson " (bar (bird)) @python.org', ' (foo) " Fred A. Johnson " (bar (bird)) ', ' " Fred A. Johnson " ', [], '@python.org') self.assertEqual(local_part.local_part, ' Fred A. Johnson ') self.assertEqual(local_part[0][0].comments, ['foo']) self.assertEqual(local_part[0][2].comments, ['bar (bird)']) def test_get_local_part_simple_obsolete(self): local_part = self._test_get_x(parser.get_local_part, 'Fred. A.Johnson@python.org', 'Fred. A.Johnson', 'Fred. A.Johnson', [errors.ObsoleteHeaderDefect], '@python.org') self.assertEqual(local_part.local_part, 'Fred.A.Johnson') def test_get_local_part_complex_obsolete_1(self): local_part = self._test_get_x(parser.get_local_part, ' (foo )Fred (bar).(bird) A.(sheep)Johnson."and dogs "@python.org', ' (foo )Fred (bar).(bird) A.(sheep)Johnson."and dogs "', ' Fred . A. Johnson.and dogs ', [errors.ObsoleteHeaderDefect], '@python.org') self.assertEqual(local_part.local_part, 'Fred.A.Johnson.and dogs ') def test_get_local_part_complex_obsolete_invalid(self): local_part = self._test_get_x(parser.get_local_part, ' (foo )Fred (bar).(bird) A.(sheep)Johnson "and dogs"@python.org', ' (foo )Fred (bar).(bird) A.(sheep)Johnson "and dogs"', ' Fred . A. Johnson and dogs', [errors.InvalidHeaderDefect]*2, '@python.org') self.assertEqual(local_part.local_part, 'Fred.A.Johnson and dogs') def test_get_local_part_no_part_raises(self): with self.assertRaises(errors.HeaderParseError): parser.get_local_part(' (foo) ') def test_get_local_part_special_instead_raises(self): with self.assertRaises(errors.HeaderParseError): parser.get_local_part(' (foo) @python.org') def test_get_local_part_trailing_dot(self): local_part = self._test_get_x(parser.get_local_part, ' borris.@python.org', ' borris.', ' borris.', [errors.InvalidHeaderDefect]*2, '@python.org') self.assertEqual(local_part.local_part, 'borris.') def test_get_local_part_trailing_dot_with_ws(self): local_part = self._test_get_x(parser.get_local_part, ' borris. @python.org', ' borris. ', ' borris. ', [errors.InvalidHeaderDefect]*2, '@python.org') self.assertEqual(local_part.local_part, 'borris.') def test_get_local_part_leading_dot(self): local_part = self._test_get_x(parser.get_local_part, '.borris@python.org', '.borris', '.borris', [errors.InvalidHeaderDefect]*2, '@python.org') self.assertEqual(local_part.local_part, '.borris') def test_get_local_part_leading_dot_after_ws(self): local_part = self._test_get_x(parser.get_local_part, ' .borris@python.org', ' .borris', ' .borris', [errors.InvalidHeaderDefect]*2, '@python.org') self.assertEqual(local_part.local_part, '.borris') def test_get_local_part_double_dot_raises(self): local_part = self._test_get_x(parser.get_local_part, ' borris.(foo).natasha@python.org', ' borris.(foo).natasha', ' borris. .natasha', [errors.InvalidHeaderDefect]*2, '@python.org') self.assertEqual(local_part.local_part, 'borris..natasha') def test_get_local_part_quoted_strings_in_atom_list(self): local_part = self._test_get_x(parser.get_local_part, '""example" example"@example.com', '""example" example"', 'example example', [errors.InvalidHeaderDefect]*3, '@example.com') self.assertEqual(local_part.local_part, 'example example') def test_get_local_part_valid_and_invalid_qp_in_atom_list(self): local_part = self._test_get_x(parser.get_local_part, r'"\\"example\\" example"@example.com', r'"\\"example\\" example"', r'\example\\ example', [errors.InvalidHeaderDefect]*5, '@example.com') self.assertEqual(local_part.local_part, r'\example\\ example') def test_get_local_part_unicode_defect(self): # Currently this only happens when parsing unicode, not when parsing # stuff that was originally binary. local_part = self._test_get_x(parser.get_local_part, 'exámple@example.com', 'exámple', 'exámple', [errors.NonASCIILocalPartDefect], '@example.com') self.assertEqual(local_part.local_part, 'exámple') # get_dtext def test_get_dtext_only(self): dtext = self._test_get_x(parser.get_dtext, 'foobar', 'foobar', 'foobar', [], '') self.assertEqual(dtext.token_type, 'ptext') def test_get_dtext_all_dtext(self): dtext = self._test_get_x(parser.get_dtext, self.rfc_dtext_chars, self.rfc_dtext_chars, self.rfc_dtext_chars, [], '') def test_get_dtext_two_words_gets_first(self): self._test_get_x(parser.get_dtext, 'foo bar', 'foo', 'foo', [], ' bar') def test_get_dtext_following_wsp_preserved(self): self._test_get_x(parser.get_dtext, 'foo \t\tbar', 'foo', 'foo', [], ' \t\tbar') def test_get_dtext_non_printables(self): dtext = self._test_get_x(parser.get_dtext, 'foo\x00bar]', 'foo\x00bar', 'foo\x00bar', [errors.NonPrintableDefect], ']') self.assertEqual(dtext.defects[0].non_printables[0], '\x00') def test_get_dtext_with_qp(self): ptext = self._test_get_x(parser.get_dtext, r'foo\]\[\\bar\b\e\l\l', r'foo][\barbell', r'foo][\barbell', [errors.ObsoleteHeaderDefect], '') def test_get_dtext_up_to_close_bracket_only(self): self._test_get_x(parser.get_dtext, 'foo]', 'foo', 'foo', [], ']') def test_get_dtext_wsp_before_close_bracket_preserved(self): self._test_get_x(parser.get_dtext, 'foo ]', 'foo', 'foo', [], ' ]') def test_get_dtext_close_bracket_mid_word(self): self._test_get_x(parser.get_dtext, 'foo]bar', 'foo', 'foo', [], ']bar') def test_get_dtext_up_to_open_bracket_only(self): self._test_get_x(parser.get_dtext, 'foo[', 'foo', 'foo', [], '[') def test_get_dtext_wsp_before_open_bracket_preserved(self): self._test_get_x(parser.get_dtext, 'foo [', 'foo', 'foo', [], ' [') def test_get_dtext_open_bracket_mid_word(self): self._test_get_x(parser.get_dtext, 'foo[bar', 'foo', 'foo', [], '[bar') # get_domain_literal def test_get_domain_literal_only(self): domain_literal = domain_literal = self._test_get_x(parser.get_domain_literal, '[127.0.0.1]', '[127.0.0.1]', '[127.0.0.1]', [], '') self.assertEqual(domain_literal.token_type, 'domain-literal') self.assertEqual(domain_literal.domain, '[127.0.0.1]') self.assertEqual(domain_literal.ip, '127.0.0.1') def test_get_domain_literal_with_internal_ws(self): domain_literal = self._test_get_x(parser.get_domain_literal, '[ 127.0.0.1\t ]', '[ 127.0.0.1\t ]', '[ 127.0.0.1 ]', [], '') self.assertEqual(domain_literal.domain, '[127.0.0.1]') self.assertEqual(domain_literal.ip, '127.0.0.1') def test_get_domain_literal_with_surrounding_cfws(self): domain_literal = self._test_get_x(parser.get_domain_literal, '(foo)[ 127.0.0.1] (bar)', '(foo)[ 127.0.0.1] (bar)', ' [ 127.0.0.1] ', [], '') self.assertEqual(domain_literal.domain, '[127.0.0.1]') self.assertEqual(domain_literal.ip, '127.0.0.1') def test_get_domain_literal_no_start_char_raises(self): with self.assertRaises(errors.HeaderParseError): parser.get_domain_literal('(foo) ') def test_get_domain_literal_no_start_char_before_special_raises(self): with self.assertRaises(errors.HeaderParseError): parser.get_domain_literal('(foo) @') def test_get_domain_literal_bad_dtext_char_before_special_raises(self): with self.assertRaises(errors.HeaderParseError): parser.get_domain_literal('(foo) [abc[@') # get_domain def test_get_domain_regular_domain_only(self): domain = self._test_get_x(parser.get_domain, 'example.com', 'example.com', 'example.com', [], '') self.assertEqual(domain.token_type, 'domain') self.assertEqual(domain.domain, 'example.com') def test_get_domain_domain_literal_only(self): domain = self._test_get_x(parser.get_domain, '[127.0.0.1]', '[127.0.0.1]', '[127.0.0.1]', [], '') self.assertEqual(domain.token_type, 'domain') self.assertEqual(domain.domain, '[127.0.0.1]') def test_get_domain_with_cfws(self): domain = self._test_get_x(parser.get_domain, '(foo) example.com(bar)\t', '(foo) example.com(bar)\t', ' example.com ', [], '') self.assertEqual(domain.domain, 'example.com') def test_get_domain_domain_literal_with_cfws(self): domain = self._test_get_x(parser.get_domain, '(foo)[127.0.0.1]\t(bar)', '(foo)[127.0.0.1]\t(bar)', ' [127.0.0.1] ', [], '') self.assertEqual(domain.domain, '[127.0.0.1]') def test_get_domain_domain_with_cfws_ends_at_special(self): domain = self._test_get_x(parser.get_domain, '(foo)example.com\t(bar), next', '(foo)example.com\t(bar)', ' example.com ', [], ', next') self.assertEqual(domain.domain, 'example.com') def test_get_domain_domain_literal_with_cfws_ends_at_special(self): domain = self._test_get_x(parser.get_domain, '(foo)[127.0.0.1]\t(bar), next', '(foo)[127.0.0.1]\t(bar)', ' [127.0.0.1] ', [], ', next') self.assertEqual(domain.domain, '[127.0.0.1]') def test_get_domain_obsolete(self): domain = self._test_get_x(parser.get_domain, '(foo) example . (bird)com(bar)\t', '(foo) example . (bird)com(bar)\t', ' example . com ', [errors.ObsoleteHeaderDefect], '') self.assertEqual(domain.domain, 'example.com') def test_get_domain_no_non_cfws_raises(self): with self.assertRaises(errors.HeaderParseError): parser.get_domain(" (foo)\t") def test_get_domain_no_atom_raises(self): with self.assertRaises(errors.HeaderParseError): parser.get_domain(" (foo)\t, broken") # get_addr_spec def test_get_addr_spec_normal(self): addr_spec = self._test_get_x(parser.get_addr_spec, 'dinsdale@example.com', 'dinsdale@example.com', 'dinsdale@example.com', [], '') self.assertEqual(addr_spec.token_type, 'addr-spec') self.assertEqual(addr_spec.local_part, 'dinsdale') self.assertEqual(addr_spec.domain, 'example.com') self.assertEqual(addr_spec.addr_spec, 'dinsdale@example.com') def test_get_addr_spec_with_doamin_literal(self): addr_spec = self._test_get_x(parser.get_addr_spec, 'dinsdale@[127.0.0.1]', 'dinsdale@[127.0.0.1]', 'dinsdale@[127.0.0.1]', [], '') self.assertEqual(addr_spec.local_part, 'dinsdale') self.assertEqual(addr_spec.domain, '[127.0.0.1]') self.assertEqual(addr_spec.addr_spec, 'dinsdale@[127.0.0.1]') def test_get_addr_spec_with_cfws(self): addr_spec = self._test_get_x(parser.get_addr_spec, '(foo) dinsdale(bar)@ (bird) example.com (bog)', '(foo) dinsdale(bar)@ (bird) example.com (bog)', ' dinsdale@example.com ', [], '') self.assertEqual(addr_spec.local_part, 'dinsdale') self.assertEqual(addr_spec.domain, 'example.com') self.assertEqual(addr_spec.addr_spec, 'dinsdale@example.com') def test_get_addr_spec_with_qouoted_string_and_cfws(self): addr_spec = self._test_get_x(parser.get_addr_spec, '(foo) "roy a bug"(bar)@ (bird) example.com (bog)', '(foo) "roy a bug"(bar)@ (bird) example.com (bog)', ' "roy a bug"@example.com ', [], '') self.assertEqual(addr_spec.local_part, 'roy a bug') self.assertEqual(addr_spec.domain, 'example.com') self.assertEqual(addr_spec.addr_spec, '"roy a bug"@example.com') def test_get_addr_spec_ends_at_special(self): addr_spec = self._test_get_x(parser.get_addr_spec, '(foo) "roy a bug"(bar)@ (bird) example.com (bog) , next', '(foo) "roy a bug"(bar)@ (bird) example.com (bog) ', ' "roy a bug"@example.com ', [], ', next') self.assertEqual(addr_spec.local_part, 'roy a bug') self.assertEqual(addr_spec.domain, 'example.com') self.assertEqual(addr_spec.addr_spec, '"roy a bug"@example.com') def test_get_addr_spec_quoted_strings_in_atom_list(self): addr_spec = self._test_get_x(parser.get_addr_spec, '""example" example"@example.com', '""example" example"@example.com', 'example example@example.com', [errors.InvalidHeaderDefect]*3, '') self.assertEqual(addr_spec.local_part, 'example example') self.assertEqual(addr_spec.domain, 'example.com') self.assertEqual(addr_spec.addr_spec, '"example example"@example.com') def test_get_addr_spec_dot_atom(self): addr_spec = self._test_get_x(parser.get_addr_spec, 'star.a.star@example.com', 'star.a.star@example.com', 'star.a.star@example.com', [], '') self.assertEqual(addr_spec.local_part, 'star.a.star') self.assertEqual(addr_spec.domain, 'example.com') self.assertEqual(addr_spec.addr_spec, 'star.a.star@example.com') # get_obs_route def test_get_obs_route_simple(self): obs_route = self._test_get_x(parser.get_obs_route, '@example.com, @two.example.com:', '@example.com, @two.example.com:', '@example.com, @two.example.com:', [], '') self.assertEqual(obs_route.token_type, 'obs-route') self.assertEqual(obs_route.domains, ['example.com', 'two.example.com']) def test_get_obs_route_complex(self): obs_route = self._test_get_x(parser.get_obs_route, '(foo),, (blue)@example.com (bar),@two.(foo) example.com (bird):', '(foo),, (blue)@example.com (bar),@two.(foo) example.com (bird):', ' ,, @example.com ,@two. example.com :', [errors.ObsoleteHeaderDefect], # This is the obs-domain '') self.assertEqual(obs_route.token_type, 'obs-route') self.assertEqual(obs_route.domains, ['example.com', 'two.example.com']) def test_get_obs_route_no_route_before_end_raises(self): with self.assertRaises(errors.HeaderParseError): parser.get_obs_route('(foo) @example.com,') def test_get_obs_route_no_route_before_special_raises(self): with self.assertRaises(errors.HeaderParseError): parser.get_obs_route('(foo) [abc],') def test_get_obs_route_no_route_before_special_raises2(self): with self.assertRaises(errors.HeaderParseError): parser.get_obs_route('(foo) @example.com [abc],') # get_angle_addr def test_get_angle_addr_simple(self): angle_addr = self._test_get_x(parser.get_angle_addr, '<dinsdale@example.com>', '<dinsdale@example.com>', '<dinsdale@example.com>', [], '') self.assertEqual(angle_addr.token_type, 'angle-addr') self.assertEqual(angle_addr.local_part, 'dinsdale') self.assertEqual(angle_addr.domain, 'example.com') self.assertIsNone(angle_addr.route) self.assertEqual(angle_addr.addr_spec, 'dinsdale@example.com') def test_get_angle_addr_empty(self): angle_addr = self._test_get_x(parser.get_angle_addr, '<>', '<>', '<>', [errors.InvalidHeaderDefect], '') self.assertEqual(angle_addr.token_type, 'angle-addr') self.assertIsNone(angle_addr.local_part) self.assertIsNone(angle_addr.domain) self.assertIsNone(angle_addr.route) self.assertEqual(angle_addr.addr_spec, '<>') def test_get_angle_addr_qs_only_quotes(self): angle_addr = self._test_get_x(parser.get_angle_addr, '<""@example.com>', '<""@example.com>', '<""@example.com>', [], '') self.assertEqual(angle_addr.token_type, 'angle-addr') self.assertEqual(angle_addr.local_part, '') self.assertEqual(angle_addr.domain, 'example.com') self.assertIsNone(angle_addr.route) self.assertEqual(angle_addr.addr_spec, '""@example.com') def test_get_angle_addr_with_cfws(self): angle_addr = self._test_get_x(parser.get_angle_addr, ' (foo) <dinsdale@example.com>(bar)', ' (foo) <dinsdale@example.com>(bar)', ' <dinsdale@example.com> ', [], '') self.assertEqual(angle_addr.token_type, 'angle-addr') self.assertEqual(angle_addr.local_part, 'dinsdale') self.assertEqual(angle_addr.domain, 'example.com') self.assertIsNone(angle_addr.route) self.assertEqual(angle_addr.addr_spec, 'dinsdale@example.com') def test_get_angle_addr_qs_and_domain_literal(self): angle_addr = self._test_get_x(parser.get_angle_addr, '<"Fred Perfect"@[127.0.0.1]>', '<"Fred Perfect"@[127.0.0.1]>', '<"Fred Perfect"@[127.0.0.1]>', [], '') self.assertEqual(angle_addr.local_part, 'Fred Perfect') self.assertEqual(angle_addr.domain, '[127.0.0.1]') self.assertIsNone(angle_addr.route) self.assertEqual(angle_addr.addr_spec, '"Fred Perfect"@[127.0.0.1]') def test_get_angle_addr_internal_cfws(self): angle_addr = self._test_get_x(parser.get_angle_addr, '<(foo) dinsdale@example.com(bar)>', '<(foo) dinsdale@example.com(bar)>', '< dinsdale@example.com >', [], '') self.assertEqual(angle_addr.local_part, 'dinsdale') self.assertEqual(angle_addr.domain, 'example.com') self.assertIsNone(angle_addr.route) self.assertEqual(angle_addr.addr_spec, 'dinsdale@example.com') def test_get_angle_addr_obs_route(self): angle_addr = self._test_get_x(parser.get_angle_addr, '(foo)<@example.com, (bird) @two.example.com: dinsdale@example.com> (bar) ', '(foo)<@example.com, (bird) @two.example.com: dinsdale@example.com> (bar) ', ' <@example.com, @two.example.com: dinsdale@example.com> ', [errors.ObsoleteHeaderDefect], '') self.assertEqual(angle_addr.local_part, 'dinsdale') self.assertEqual(angle_addr.domain, 'example.com') self.assertEqual(angle_addr.route, ['example.com', 'two.example.com']) self.assertEqual(angle_addr.addr_spec, 'dinsdale@example.com') def test_get_angle_addr_missing_closing_angle(self): angle_addr = self._test_get_x(parser.get_angle_addr, '<dinsdale@example.com', '<dinsdale@example.com>', '<dinsdale@example.com>', [errors.InvalidHeaderDefect], '') self.assertEqual(angle_addr.local_part, 'dinsdale') self.assertEqual(angle_addr.domain, 'example.com') self.assertIsNone(angle_addr.route) self.assertEqual(angle_addr.addr_spec, 'dinsdale@example.com') def test_get_angle_addr_missing_closing_angle_with_cfws(self): angle_addr = self._test_get_x(parser.get_angle_addr, '<dinsdale@example.com (foo)', '<dinsdale@example.com (foo)>', '<dinsdale@example.com >', [errors.InvalidHeaderDefect], '') self.assertEqual(angle_addr.local_part, 'dinsdale') self.assertEqual(angle_addr.domain, 'example.com') self.assertIsNone(angle_addr.route) self.assertEqual(angle_addr.addr_spec, 'dinsdale@example.com') def test_get_angle_addr_ends_at_special(self): angle_addr = self._test_get_x(parser.get_angle_addr, '<dinsdale@example.com> (foo), next', '<dinsdale@example.com> (foo)', '<dinsdale@example.com> ', [], ', next') self.assertEqual(angle_addr.local_part, 'dinsdale') self.assertEqual(angle_addr.domain, 'example.com') self.assertIsNone(angle_addr.route) self.assertEqual(angle_addr.addr_spec, 'dinsdale@example.com') def test_get_angle_addr_no_angle_raise(self): with self.assertRaises(errors.HeaderParseError): parser.get_angle_addr('(foo) ') def test_get_angle_addr_no_angle_before_special_raises(self): with self.assertRaises(errors.HeaderParseError): parser.get_angle_addr('(foo) , next') def test_get_angle_addr_no_angle_raises(self): with self.assertRaises(errors.HeaderParseError): parser.get_angle_addr('bar') def test_get_angle_addr_special_after_angle_raises(self): with self.assertRaises(errors.HeaderParseError): parser.get_angle_addr('(foo) <, bar') # get_display_name This is phrase but with a different value. def test_get_display_name_simple(self): display_name = self._test_get_x(parser.get_display_name, 'Fred A Johnson', 'Fred A Johnson', 'Fred A Johnson', [], '') self.assertEqual(display_name.token_type, 'display-name') self.assertEqual(display_name.display_name, 'Fred A Johnson') def test_get_display_name_complex1(self): display_name = self._test_get_x(parser.get_display_name, '"Fred A. Johnson" is his name, oh.', '"Fred A. Johnson" is his name', '"Fred A. Johnson is his name"', [], ', oh.') self.assertEqual(display_name.token_type, 'display-name') self.assertEqual(display_name.display_name, 'Fred A. Johnson is his name') def test_get_display_name_complex2(self): display_name = self._test_get_x(parser.get_display_name, ' (A) bird (in (my|your)) "hand " is messy\t<>\t', ' (A) bird (in (my|your)) "hand " is messy\t', ' "bird hand is messy" ', [], '<>\t') self.assertEqual(display_name[0][0].comments, ['A']) self.assertEqual(display_name[0][2].comments, ['in (my|your)']) self.assertEqual(display_name.display_name, 'bird hand is messy') def test_get_display_name_obsolete(self): display_name = self._test_get_x(parser.get_display_name, 'Fred A.(weird).O Johnson', 'Fred A.(weird).O Johnson', '"Fred A. .O Johnson"', [errors.ObsoleteHeaderDefect]*3, '') self.assertEqual(len(display_name), 7) self.assertEqual(display_name[3].comments, ['weird']) self.assertEqual(display_name.display_name, 'Fred A. .O Johnson') def test_get_display_name_pharse_must_start_with_word(self): display_name = self._test_get_x(parser.get_display_name, '(even weirder).name', '(even weirder).name', ' ".name"', [errors.InvalidHeaderDefect] + [errors.ObsoleteHeaderDefect]*2, '') self.assertEqual(len(display_name), 3) self.assertEqual(display_name[0].comments, ['even weirder']) self.assertEqual(display_name.display_name, '.name') def test_get_display_name_ending_with_obsolete(self): display_name = self._test_get_x(parser.get_display_name, 'simple phrase.(with trailing comment):boo', 'simple phrase.(with trailing comment)', '"simple phrase." ', [errors.ObsoleteHeaderDefect]*2, ':boo') self.assertEqual(len(display_name), 4) self.assertEqual(display_name[3].comments, ['with trailing comment']) self.assertEqual(display_name.display_name, 'simple phrase.') # get_name_addr def test_get_name_addr_angle_addr_only(self): name_addr = self._test_get_x(parser.get_name_addr, '<dinsdale@example.com>', '<dinsdale@example.com>', '<dinsdale@example.com>', [], '') self.assertEqual(name_addr.token_type, 'name-addr') self.assertIsNone(name_addr.display_name) self.assertEqual(name_addr.local_part, 'dinsdale') self.assertEqual(name_addr.domain, 'example.com') self.assertIsNone(name_addr.route) self.assertEqual(name_addr.addr_spec, 'dinsdale@example.com') def test_get_name_addr_atom_name(self): name_addr = self._test_get_x(parser.get_name_addr, 'Dinsdale <dinsdale@example.com>', 'Dinsdale <dinsdale@example.com>', 'Dinsdale <dinsdale@example.com>', [], '') self.assertEqual(name_addr.token_type, 'name-addr') self.assertEqual(name_addr.display_name, 'Dinsdale') self.assertEqual(name_addr.local_part, 'dinsdale') self.assertEqual(name_addr.domain, 'example.com') self.assertIsNone(name_addr.route) self.assertEqual(name_addr.addr_spec, 'dinsdale@example.com') def test_get_name_addr_atom_name_with_cfws(self): name_addr = self._test_get_x(parser.get_name_addr, '(foo) Dinsdale (bar) <dinsdale@example.com> (bird)', '(foo) Dinsdale (bar) <dinsdale@example.com> (bird)', ' Dinsdale <dinsdale@example.com> ', [], '') self.assertEqual(name_addr.display_name, 'Dinsdale') self.assertEqual(name_addr.local_part, 'dinsdale') self.assertEqual(name_addr.domain, 'example.com') self.assertIsNone(name_addr.route) self.assertEqual(name_addr.addr_spec, 'dinsdale@example.com') def test_get_name_addr_name_with_cfws_and_dots(self): name_addr = self._test_get_x(parser.get_name_addr, '(foo) Roy.A.Bear (bar) <dinsdale@example.com> (bird)', '(foo) Roy.A.Bear (bar) <dinsdale@example.com> (bird)', ' "Roy.A.Bear" <dinsdale@example.com> ', [errors.ObsoleteHeaderDefect]*2, '') self.assertEqual(name_addr.display_name, 'Roy.A.Bear') self.assertEqual(name_addr.local_part, 'dinsdale') self.assertEqual(name_addr.domain, 'example.com') self.assertIsNone(name_addr.route) self.assertEqual(name_addr.addr_spec, 'dinsdale@example.com') def test_get_name_addr_qs_name(self): name_addr = self._test_get_x(parser.get_name_addr, '"Roy.A.Bear" <dinsdale@example.com>', '"Roy.A.Bear" <dinsdale@example.com>', '"Roy.A.Bear" <dinsdale@example.com>', [], '') self.assertEqual(name_addr.display_name, 'Roy.A.Bear') self.assertEqual(name_addr.local_part, 'dinsdale') self.assertEqual(name_addr.domain, 'example.com') self.assertIsNone(name_addr.route) self.assertEqual(name_addr.addr_spec, 'dinsdale@example.com') def test_get_name_addr_with_route(self): name_addr = self._test_get_x(parser.get_name_addr, '"Roy.A.Bear" <@two.example.com: dinsdale@example.com>', '"Roy.A.Bear" <@two.example.com: dinsdale@example.com>', '"Roy.A.Bear" <@two.example.com: dinsdale@example.com>', [errors.ObsoleteHeaderDefect], '') self.assertEqual(name_addr.display_name, 'Roy.A.Bear') self.assertEqual(name_addr.local_part, 'dinsdale') self.assertEqual(name_addr.domain, 'example.com') self.assertEqual(name_addr.route, ['two.example.com']) self.assertEqual(name_addr.addr_spec, 'dinsdale@example.com') def test_get_name_addr_ends_at_special(self): name_addr = self._test_get_x(parser.get_name_addr, '"Roy.A.Bear" <dinsdale@example.com>, next', '"Roy.A.Bear" <dinsdale@example.com>', '"Roy.A.Bear" <dinsdale@example.com>', [], ', next') self.assertEqual(name_addr.display_name, 'Roy.A.Bear') self.assertEqual(name_addr.local_part, 'dinsdale') self.assertEqual(name_addr.domain, 'example.com') self.assertIsNone(name_addr.route) self.assertEqual(name_addr.addr_spec, 'dinsdale@example.com') def test_get_name_addr_no_content_raises(self): with self.assertRaises(errors.HeaderParseError): parser.get_name_addr(' (foo) ') def test_get_name_addr_no_content_before_special_raises(self): with self.assertRaises(errors.HeaderParseError): parser.get_name_addr(' (foo) ,') def test_get_name_addr_no_angle_after_display_name_raises(self): with self.assertRaises(errors.HeaderParseError): parser.get_name_addr('foo bar') # get_mailbox def test_get_mailbox_addr_spec_only(self): mailbox = self._test_get_x(parser.get_mailbox, 'dinsdale@example.com', 'dinsdale@example.com', 'dinsdale@example.com', [], '') self.assertEqual(mailbox.token_type, 'mailbox') self.assertIsNone(mailbox.display_name) self.assertEqual(mailbox.local_part, 'dinsdale') self.assertEqual(mailbox.domain, 'example.com') self.assertIsNone(mailbox.route) self.assertEqual(mailbox.addr_spec, 'dinsdale@example.com') def test_get_mailbox_angle_addr_only(self): mailbox = self._test_get_x(parser.get_mailbox, '<dinsdale@example.com>', '<dinsdale@example.com>', '<dinsdale@example.com>', [], '') self.assertEqual(mailbox.token_type, 'mailbox') self.assertIsNone(mailbox.display_name) self.assertEqual(mailbox.local_part, 'dinsdale') self.assertEqual(mailbox.domain, 'example.com') self.assertIsNone(mailbox.route) self.assertEqual(mailbox.addr_spec, 'dinsdale@example.com') def test_get_mailbox_name_addr(self): mailbox = self._test_get_x(parser.get_mailbox, '"Roy A. Bear" <dinsdale@example.com>', '"Roy A. Bear" <dinsdale@example.com>', '"Roy A. Bear" <dinsdale@example.com>', [], '') self.assertEqual(mailbox.token_type, 'mailbox') self.assertEqual(mailbox.display_name, 'Roy A. Bear') self.assertEqual(mailbox.local_part, 'dinsdale') self.assertEqual(mailbox.domain, 'example.com') self.assertIsNone(mailbox.route) self.assertEqual(mailbox.addr_spec, 'dinsdale@example.com') def test_get_mailbox_ends_at_special(self): mailbox = self._test_get_x(parser.get_mailbox, '"Roy A. Bear" <dinsdale@example.com>, rest', '"Roy A. Bear" <dinsdale@example.com>', '"Roy A. Bear" <dinsdale@example.com>', [], ', rest') self.assertEqual(mailbox.token_type, 'mailbox') self.assertEqual(mailbox.display_name, 'Roy A. Bear') self.assertEqual(mailbox.local_part, 'dinsdale') self.assertEqual(mailbox.domain, 'example.com') self.assertIsNone(mailbox.route) self.assertEqual(mailbox.addr_spec, 'dinsdale@example.com') def test_get_mailbox_quoted_strings_in_atom_list(self): mailbox = self._test_get_x(parser.get_mailbox, '""example" example"@example.com', '""example" example"@example.com', 'example example@example.com', [errors.InvalidHeaderDefect]*3, '') self.assertEqual(mailbox.local_part, 'example example') self.assertEqual(mailbox.domain, 'example.com') self.assertEqual(mailbox.addr_spec, '"example example"@example.com') # get_mailbox_list def test_get_mailbox_list_single_addr(self): mailbox_list = self._test_get_x(parser.get_mailbox_list, 'dinsdale@example.com', 'dinsdale@example.com', 'dinsdale@example.com', [], '') self.assertEqual(mailbox_list.token_type, 'mailbox-list') self.assertEqual(len(mailbox_list.mailboxes), 1) mailbox = mailbox_list.mailboxes[0] self.assertIsNone(mailbox.display_name) self.assertEqual(mailbox.local_part, 'dinsdale') self.assertEqual(mailbox.domain, 'example.com') self.assertIsNone(mailbox.route) self.assertEqual(mailbox.addr_spec, 'dinsdale@example.com') self.assertEqual(mailbox_list.mailboxes, mailbox_list.all_mailboxes) def test_get_mailbox_list_two_simple_addr(self): mailbox_list = self._test_get_x(parser.get_mailbox_list, 'dinsdale@example.com, dinsdale@test.example.com', 'dinsdale@example.com, dinsdale@test.example.com', 'dinsdale@example.com, dinsdale@test.example.com', [], '') self.assertEqual(mailbox_list.token_type, 'mailbox-list') self.assertEqual(len(mailbox_list.mailboxes), 2) self.assertEqual(mailbox_list.mailboxes[0].addr_spec, 'dinsdale@example.com') self.assertEqual(mailbox_list.mailboxes[1].addr_spec, 'dinsdale@test.example.com') self.assertEqual(mailbox_list.mailboxes, mailbox_list.all_mailboxes) def test_get_mailbox_list_two_name_addr(self): mailbox_list = self._test_get_x(parser.get_mailbox_list, ('"Roy A. Bear" <dinsdale@example.com>,' ' "Fred Flintstone" <dinsdale@test.example.com>'), ('"Roy A. Bear" <dinsdale@example.com>,' ' "Fred Flintstone" <dinsdale@test.example.com>'), ('"Roy A. Bear" <dinsdale@example.com>,' ' "Fred Flintstone" <dinsdale@test.example.com>'), [], '') self.assertEqual(len(mailbox_list.mailboxes), 2) self.assertEqual(mailbox_list.mailboxes[0].addr_spec, 'dinsdale@example.com') self.assertEqual(mailbox_list.mailboxes[0].display_name, 'Roy A. Bear') self.assertEqual(mailbox_list.mailboxes[1].addr_spec, 'dinsdale@test.example.com') self.assertEqual(mailbox_list.mailboxes[1].display_name, 'Fred Flintstone') self.assertEqual(mailbox_list.mailboxes, mailbox_list.all_mailboxes) def test_get_mailbox_list_two_complex(self): mailbox_list = self._test_get_x(parser.get_mailbox_list, ('(foo) "Roy A. Bear" <dinsdale@example.com>(bar),' ' "Fred Flintstone" <dinsdale@test.(bird)example.com>'), ('(foo) "Roy A. Bear" <dinsdale@example.com>(bar),' ' "Fred Flintstone" <dinsdale@test.(bird)example.com>'), (' "Roy A. Bear" <dinsdale@example.com> ,' ' "Fred Flintstone" <dinsdale@test. example.com>'), [errors.ObsoleteHeaderDefect], '') self.assertEqual(len(mailbox_list.mailboxes), 2) self.assertEqual(mailbox_list.mailboxes[0].addr_spec, 'dinsdale@example.com') self.assertEqual(mailbox_list.mailboxes[0].display_name, 'Roy A. Bear') self.assertEqual(mailbox_list.mailboxes[1].addr_spec, 'dinsdale@test.example.com') self.assertEqual(mailbox_list.mailboxes[1].display_name, 'Fred Flintstone') self.assertEqual(mailbox_list.mailboxes, mailbox_list.all_mailboxes) def test_get_mailbox_list_unparseable_mailbox_null(self): mailbox_list = self._test_get_x(parser.get_mailbox_list, ('"Roy A. Bear"[] dinsdale@example.com,' ' "Fred Flintstone" <dinsdale@test.(bird)example.com>'), ('"Roy A. Bear"[] dinsdale@example.com,' ' "Fred Flintstone" <dinsdale@test.(bird)example.com>'), ('"Roy A. Bear"[] dinsdale@example.com,' ' "Fred Flintstone" <dinsdale@test. example.com>'), [errors.InvalidHeaderDefect, # the 'extra' text after the local part errors.InvalidHeaderDefect, # the local part with no angle-addr errors.ObsoleteHeaderDefect, # period in extra text (example.com) errors.ObsoleteHeaderDefect], # (bird) in valid address. '') self.assertEqual(len(mailbox_list.mailboxes), 1) self.assertEqual(len(mailbox_list.all_mailboxes), 2) self.assertEqual(mailbox_list.all_mailboxes[0].token_type, 'invalid-mailbox') self.assertIsNone(mailbox_list.all_mailboxes[0].display_name) self.assertEqual(mailbox_list.all_mailboxes[0].local_part, 'Roy A. Bear') self.assertIsNone(mailbox_list.all_mailboxes[0].domain) self.assertEqual(mailbox_list.all_mailboxes[0].addr_spec, '"Roy A. Bear"') self.assertIs(mailbox_list.all_mailboxes[1], mailbox_list.mailboxes[0]) self.assertEqual(mailbox_list.mailboxes[0].addr_spec, 'dinsdale@test.example.com') self.assertEqual(mailbox_list.mailboxes[0].display_name, 'Fred Flintstone') def test_get_mailbox_list_junk_after_valid_address(self): mailbox_list = self._test_get_x(parser.get_mailbox_list, ('"Roy A. Bear" <dinsdale@example.com>@@,' ' "Fred Flintstone" <dinsdale@test.example.com>'), ('"Roy A. Bear" <dinsdale@example.com>@@,' ' "Fred Flintstone" <dinsdale@test.example.com>'), ('"Roy A. Bear" <dinsdale@example.com>@@,' ' "Fred Flintstone" <dinsdale@test.example.com>'), [errors.InvalidHeaderDefect], '') self.assertEqual(len(mailbox_list.mailboxes), 1) self.assertEqual(len(mailbox_list.all_mailboxes), 2) self.assertEqual(mailbox_list.all_mailboxes[0].addr_spec, 'dinsdale@example.com') self.assertEqual(mailbox_list.all_mailboxes[0].display_name, 'Roy A. Bear') self.assertEqual(mailbox_list.all_mailboxes[0].token_type, 'invalid-mailbox') self.assertIs(mailbox_list.all_mailboxes[1], mailbox_list.mailboxes[0]) self.assertEqual(mailbox_list.mailboxes[0].addr_spec, 'dinsdale@test.example.com') self.assertEqual(mailbox_list.mailboxes[0].display_name, 'Fred Flintstone') def test_get_mailbox_list_empty_list_element(self): mailbox_list = self._test_get_x(parser.get_mailbox_list, ('"Roy A. Bear" <dinsdale@example.com>, (bird),,' ' "Fred Flintstone" <dinsdale@test.example.com>'), ('"Roy A. Bear" <dinsdale@example.com>, (bird),,' ' "Fred Flintstone" <dinsdale@test.example.com>'), ('"Roy A. Bear" <dinsdale@example.com>, ,,' ' "Fred Flintstone" <dinsdale@test.example.com>'), [errors.ObsoleteHeaderDefect]*2, '') self.assertEqual(len(mailbox_list.mailboxes), 2) self.assertEqual(mailbox_list.all_mailboxes, mailbox_list.mailboxes) self.assertEqual(mailbox_list.all_mailboxes[0].addr_spec, 'dinsdale@example.com') self.assertEqual(mailbox_list.all_mailboxes[0].display_name, 'Roy A. Bear') self.assertEqual(mailbox_list.mailboxes[1].addr_spec, 'dinsdale@test.example.com') self.assertEqual(mailbox_list.mailboxes[1].display_name, 'Fred Flintstone') def test_get_mailbox_list_only_empty_elements(self): mailbox_list = self._test_get_x(parser.get_mailbox_list, '(foo),, (bar)', '(foo),, (bar)', ' ,, ', [errors.ObsoleteHeaderDefect]*3, '') self.assertEqual(len(mailbox_list.mailboxes), 0) self.assertEqual(mailbox_list.all_mailboxes, mailbox_list.mailboxes) # get_group_list def test_get_group_list_cfws_only(self): group_list = self._test_get_x(parser.get_group_list, '(hidden);', '(hidden)', ' ', [], ';') self.assertEqual(group_list.token_type, 'group-list') self.assertEqual(len(group_list.mailboxes), 0) self.assertEqual(group_list.mailboxes, group_list.all_mailboxes) def test_get_group_list_mailbox_list(self): group_list = self._test_get_x(parser.get_group_list, 'dinsdale@example.org, "Fred A. Bear" <dinsdale@example.org>', 'dinsdale@example.org, "Fred A. Bear" <dinsdale@example.org>', 'dinsdale@example.org, "Fred A. Bear" <dinsdale@example.org>', [], '') self.assertEqual(group_list.token_type, 'group-list') self.assertEqual(len(group_list.mailboxes), 2) self.assertEqual(group_list.mailboxes, group_list.all_mailboxes) self.assertEqual(group_list.mailboxes[1].display_name, 'Fred A. Bear') def test_get_group_list_obs_group_list(self): group_list = self._test_get_x(parser.get_group_list, ', (foo),,(bar)', ', (foo),,(bar)', ', ,, ', [errors.ObsoleteHeaderDefect], '') self.assertEqual(group_list.token_type, 'group-list') self.assertEqual(len(group_list.mailboxes), 0) self.assertEqual(group_list.mailboxes, group_list.all_mailboxes) def test_get_group_list_comment_only_invalid(self): group_list = self._test_get_x(parser.get_group_list, '(bar)', '(bar)', ' ', [errors.InvalidHeaderDefect], '') self.assertEqual(group_list.token_type, 'group-list') self.assertEqual(len(group_list.mailboxes), 0) self.assertEqual(group_list.mailboxes, group_list.all_mailboxes) # get_group def test_get_group_empty(self): group = self._test_get_x(parser.get_group, 'Monty Python:;', 'Monty Python:;', 'Monty Python:;', [], '') self.assertEqual(group.token_type, 'group') self.assertEqual(group.display_name, 'Monty Python') self.assertEqual(len(group.mailboxes), 0) self.assertEqual(group.mailboxes, group.all_mailboxes) def test_get_group_null_addr_spec(self): group = self._test_get_x(parser.get_group, 'foo: <>;', 'foo: <>;', 'foo: <>;', [errors.InvalidHeaderDefect], '') self.assertEqual(group.display_name, 'foo') self.assertEqual(len(group.mailboxes), 0) self.assertEqual(len(group.all_mailboxes), 1) self.assertEqual(group.all_mailboxes[0].value, '<>') def test_get_group_cfws_only(self): group = self._test_get_x(parser.get_group, 'Monty Python: (hidden);', 'Monty Python: (hidden);', 'Monty Python: ;', [], '') self.assertEqual(group.token_type, 'group') self.assertEqual(group.display_name, 'Monty Python') self.assertEqual(len(group.mailboxes), 0) self.assertEqual(group.mailboxes, group.all_mailboxes) def test_get_group_single_mailbox(self): group = self._test_get_x(parser.get_group, 'Monty Python: "Fred A. Bear" <dinsdale@example.com>;', 'Monty Python: "Fred A. Bear" <dinsdale@example.com>;', 'Monty Python: "Fred A. Bear" <dinsdale@example.com>;', [], '') self.assertEqual(group.token_type, 'group') self.assertEqual(group.display_name, 'Monty Python') self.assertEqual(len(group.mailboxes), 1) self.assertEqual(group.mailboxes, group.all_mailboxes) self.assertEqual(group.mailboxes[0].addr_spec, 'dinsdale@example.com') def test_get_group_mixed_list(self): group = self._test_get_x(parser.get_group, ('Monty Python: "Fred A. Bear" <dinsdale@example.com>,' '(foo) Roger <ping@exampele.com>, x@test.example.com;'), ('Monty Python: "Fred A. Bear" <dinsdale@example.com>,' '(foo) Roger <ping@exampele.com>, x@test.example.com;'), ('Monty Python: "Fred A. Bear" <dinsdale@example.com>,' ' Roger <ping@exampele.com>, x@test.example.com;'), [], '') self.assertEqual(group.token_type, 'group') self.assertEqual(group.display_name, 'Monty Python') self.assertEqual(len(group.mailboxes), 3) self.assertEqual(group.mailboxes, group.all_mailboxes) self.assertEqual(group.mailboxes[0].display_name, 'Fred A. Bear') self.assertEqual(group.mailboxes[1].display_name, 'Roger') self.assertEqual(group.mailboxes[2].local_part, 'x') def test_get_group_one_invalid(self): group = self._test_get_x(parser.get_group, ('Monty Python: "Fred A. Bear" <dinsdale@example.com>,' '(foo) Roger ping@exampele.com, x@test.example.com;'), ('Monty Python: "Fred A. Bear" <dinsdale@example.com>,' '(foo) Roger ping@exampele.com, x@test.example.com;'), ('Monty Python: "Fred A. Bear" <dinsdale@example.com>,' ' Roger ping@exampele.com, x@test.example.com;'), [errors.InvalidHeaderDefect, # non-angle addr makes local part invalid errors.InvalidHeaderDefect], # and its not obs-local either: no dots. '') self.assertEqual(group.token_type, 'group') self.assertEqual(group.display_name, 'Monty Python') self.assertEqual(len(group.mailboxes), 2) self.assertEqual(len(group.all_mailboxes), 3) self.assertEqual(group.mailboxes[0].display_name, 'Fred A. Bear') self.assertEqual(group.mailboxes[1].local_part, 'x') self.assertIsNone(group.all_mailboxes[1].display_name) def test_get_group_missing_final_semicol(self): group = self._test_get_x(parser.get_group, ('Monty Python:"Fred A. Bear" <dinsdale@example.com>,' 'eric@where.test,John <jdoe@test>'), ('Monty Python:"Fred A. Bear" <dinsdale@example.com>,' 'eric@where.test,John <jdoe@test>;'), ('Monty Python:"Fred A. Bear" <dinsdale@example.com>,' 'eric@where.test,John <jdoe@test>;'), [errors.InvalidHeaderDefect], '') self.assertEqual(group.token_type, 'group') self.assertEqual(group.display_name, 'Monty Python') self.assertEqual(len(group.mailboxes), 3) self.assertEqual(group.mailboxes, group.all_mailboxes) self.assertEqual(group.mailboxes[0].addr_spec, 'dinsdale@example.com') self.assertEqual(group.mailboxes[0].display_name, 'Fred A. Bear') self.assertEqual(group.mailboxes[1].addr_spec, 'eric@where.test') self.assertEqual(group.mailboxes[2].display_name, 'John') self.assertEqual(group.mailboxes[2].addr_spec, 'jdoe@test') # get_address def test_get_address_simple(self): address = self._test_get_x(parser.get_address, 'dinsdale@example.com', 'dinsdale@example.com', 'dinsdale@example.com', [], '') self.assertEqual(address.token_type, 'address') self.assertEqual(len(address.mailboxes), 1) self.assertEqual(address.mailboxes, address.all_mailboxes) self.assertEqual(address.mailboxes[0].domain, 'example.com') self.assertEqual(address[0].token_type, 'mailbox') def test_get_address_complex(self): address = self._test_get_x(parser.get_address, '(foo) "Fred A. Bear" <(bird)dinsdale@example.com>', '(foo) "Fred A. Bear" <(bird)dinsdale@example.com>', ' "Fred A. Bear" < dinsdale@example.com>', [], '') self.assertEqual(address.token_type, 'address') self.assertEqual(len(address.mailboxes), 1) self.assertEqual(address.mailboxes, address.all_mailboxes) self.assertEqual(address.mailboxes[0].display_name, 'Fred A. Bear') self.assertEqual(address[0].token_type, 'mailbox') def test_get_address_rfc2047_display_name(self): address = self._test_get_x(parser.get_address, '=?utf-8?q?=C3=89ric?= <foo@example.com>', 'Éric <foo@example.com>', 'Éric <foo@example.com>', [], '') self.assertEqual(address.token_type, 'address') self.assertEqual(len(address.mailboxes), 1) self.assertEqual(address.mailboxes, address.all_mailboxes) self.assertEqual(address.mailboxes[0].display_name, 'Éric') self.assertEqual(address[0].token_type, 'mailbox') def test_get_address_empty_group(self): address = self._test_get_x(parser.get_address, 'Monty Python:;', 'Monty Python:;', 'Monty Python:;', [], '') self.assertEqual(address.token_type, 'address') self.assertEqual(len(address.mailboxes), 0) self.assertEqual(address.mailboxes, address.all_mailboxes) self.assertEqual(address[0].token_type, 'group') self.assertEqual(address[0].display_name, 'Monty Python') def test_get_address_group(self): address = self._test_get_x(parser.get_address, 'Monty Python: x@example.com, y@example.com;', 'Monty Python: x@example.com, y@example.com;', 'Monty Python: x@example.com, y@example.com;', [], '') self.assertEqual(address.token_type, 'address') self.assertEqual(len(address.mailboxes), 2) self.assertEqual(address.mailboxes, address.all_mailboxes) self.assertEqual(address[0].token_type, 'group') self.assertEqual(address[0].display_name, 'Monty Python') self.assertEqual(address.mailboxes[0].local_part, 'x') def test_get_address_quoted_local_part(self): address = self._test_get_x(parser.get_address, '"foo bar"@example.com', '"foo bar"@example.com', '"foo bar"@example.com', [], '') self.assertEqual(address.token_type, 'address') self.assertEqual(len(address.mailboxes), 1) self.assertEqual(address.mailboxes, address.all_mailboxes) self.assertEqual(address.mailboxes[0].domain, 'example.com') self.assertEqual(address.mailboxes[0].local_part, 'foo bar') self.assertEqual(address[0].token_type, 'mailbox') def test_get_address_ends_at_special(self): address = self._test_get_x(parser.get_address, 'dinsdale@example.com, next', 'dinsdale@example.com', 'dinsdale@example.com', [], ', next') self.assertEqual(address.token_type, 'address') self.assertEqual(len(address.mailboxes), 1) self.assertEqual(address.mailboxes, address.all_mailboxes) self.assertEqual(address.mailboxes[0].domain, 'example.com') self.assertEqual(address[0].token_type, 'mailbox') def test_get_address_invalid_mailbox_invalid(self): address = self._test_get_x(parser.get_address, 'ping example.com, next', 'ping example.com', 'ping example.com', [errors.InvalidHeaderDefect, # addr-spec with no domain errors.InvalidHeaderDefect, # invalid local-part errors.InvalidHeaderDefect, # missing .s in local-part ], ', next') self.assertEqual(address.token_type, 'address') self.assertEqual(len(address.mailboxes), 0) self.assertEqual(len(address.all_mailboxes), 1) self.assertIsNone(address.all_mailboxes[0].domain) self.assertEqual(address.all_mailboxes[0].local_part, 'ping example.com') self.assertEqual(address[0].token_type, 'invalid-mailbox') def test_get_address_quoted_strings_in_atom_list(self): address = self._test_get_x(parser.get_address, '""example" example"@example.com', '""example" example"@example.com', 'example example@example.com', [errors.InvalidHeaderDefect]*3, '') self.assertEqual(address.all_mailboxes[0].local_part, 'example example') self.assertEqual(address.all_mailboxes[0].domain, 'example.com') self.assertEqual(address.all_mailboxes[0].addr_spec, '"example example"@example.com') # get_address_list def test_get_address_list_mailboxes_simple(self): address_list = self._test_get_x(parser.get_address_list, 'dinsdale@example.com', 'dinsdale@example.com', 'dinsdale@example.com', [], '') self.assertEqual(address_list.token_type, 'address-list') self.assertEqual(len(address_list.mailboxes), 1) self.assertEqual(address_list.mailboxes, address_list.all_mailboxes) self.assertEqual([str(x) for x in address_list.mailboxes], [str(x) for x in address_list.addresses]) self.assertEqual(address_list.mailboxes[0].domain, 'example.com') self.assertEqual(address_list[0].token_type, 'address') self.assertIsNone(address_list[0].display_name) def test_get_address_list_mailboxes_two_simple(self): address_list = self._test_get_x(parser.get_address_list, 'foo@example.com, "Fred A. Bar" <bar@example.com>', 'foo@example.com, "Fred A. Bar" <bar@example.com>', 'foo@example.com, "Fred A. Bar" <bar@example.com>', [], '') self.assertEqual(address_list.token_type, 'address-list') self.assertEqual(len(address_list.mailboxes), 2) self.assertEqual(address_list.mailboxes, address_list.all_mailboxes) self.assertEqual([str(x) for x in address_list.mailboxes], [str(x) for x in address_list.addresses]) self.assertEqual(address_list.mailboxes[0].local_part, 'foo') self.assertEqual(address_list.mailboxes[1].display_name, "Fred A. Bar") def test_get_address_list_mailboxes_complex(self): address_list = self._test_get_x(parser.get_address_list, ('"Roy A. Bear" <dinsdale@example.com>, ' '(ping) Foo <x@example.com>,' 'Nobody Is. Special <y@(bird)example.(bad)com>'), ('"Roy A. Bear" <dinsdale@example.com>, ' '(ping) Foo <x@example.com>,' 'Nobody Is. Special <y@(bird)example.(bad)com>'), ('"Roy A. Bear" <dinsdale@example.com>, ' 'Foo <x@example.com>,' '"Nobody Is. Special" <y@example. com>'), [errors.ObsoleteHeaderDefect, # period in Is. errors.ObsoleteHeaderDefect], # cfws in domain '') self.assertEqual(address_list.token_type, 'address-list') self.assertEqual(len(address_list.mailboxes), 3) self.assertEqual(address_list.mailboxes, address_list.all_mailboxes) self.assertEqual([str(x) for x in address_list.mailboxes], [str(x) for x in address_list.addresses]) self.assertEqual(address_list.mailboxes[0].domain, 'example.com') self.assertEqual(address_list.mailboxes[0].token_type, 'mailbox') self.assertEqual(address_list.addresses[0].token_type, 'address') self.assertEqual(address_list.mailboxes[1].local_part, 'x') self.assertEqual(address_list.mailboxes[2].display_name, 'Nobody Is. Special') def test_get_address_list_mailboxes_invalid_addresses(self): address_list = self._test_get_x(parser.get_address_list, ('"Roy A. Bear" <dinsdale@example.com>, ' '(ping) Foo x@example.com[],' 'Nobody Is. Special <(bird)example.(bad)com>'), ('"Roy A. Bear" <dinsdale@example.com>, ' '(ping) Foo x@example.com[],' 'Nobody Is. Special <(bird)example.(bad)com>'), ('"Roy A. Bear" <dinsdale@example.com>, ' 'Foo x@example.com[],' '"Nobody Is. Special" < example. com>'), [errors.InvalidHeaderDefect, # invalid address in list errors.InvalidHeaderDefect, # 'Foo x' local part invalid. errors.InvalidHeaderDefect, # Missing . in 'Foo x' local part errors.ObsoleteHeaderDefect, # period in 'Is.' disp-name phrase errors.InvalidHeaderDefect, # no domain part in addr-spec errors.ObsoleteHeaderDefect], # addr-spec has comment in it '') self.assertEqual(address_list.token_type, 'address-list') self.assertEqual(len(address_list.mailboxes), 1) self.assertEqual(len(address_list.all_mailboxes), 3) self.assertEqual([str(x) for x in address_list.all_mailboxes], [str(x) for x in address_list.addresses]) self.assertEqual(address_list.mailboxes[0].domain, 'example.com') self.assertEqual(address_list.mailboxes[0].token_type, 'mailbox') self.assertEqual(address_list.addresses[0].token_type, 'address') self.assertEqual(address_list.addresses[1].token_type, 'address') self.assertEqual(len(address_list.addresses[0].mailboxes), 1) self.assertEqual(len(address_list.addresses[1].mailboxes), 0) self.assertEqual(len(address_list.addresses[1].mailboxes), 0) self.assertEqual( address_list.addresses[1].all_mailboxes[0].local_part, 'Foo x') self.assertEqual( address_list.addresses[2].all_mailboxes[0].display_name, "Nobody Is. Special") def test_get_address_list_group_empty(self): address_list = self._test_get_x(parser.get_address_list, 'Monty Python: ;', 'Monty Python: ;', 'Monty Python: ;', [], '') self.assertEqual(address_list.token_type, 'address-list') self.assertEqual(len(address_list.mailboxes), 0) self.assertEqual(address_list.mailboxes, address_list.all_mailboxes) self.assertEqual(len(address_list.addresses), 1) self.assertEqual(address_list.addresses[0].token_type, 'address') self.assertEqual(address_list.addresses[0].display_name, 'Monty Python') self.assertEqual(len(address_list.addresses[0].mailboxes), 0) def test_get_address_list_group_simple(self): address_list = self._test_get_x(parser.get_address_list, 'Monty Python: dinsdale@example.com;', 'Monty Python: dinsdale@example.com;', 'Monty Python: dinsdale@example.com;', [], '') self.assertEqual(address_list.token_type, 'address-list') self.assertEqual(len(address_list.mailboxes), 1) self.assertEqual(address_list.mailboxes, address_list.all_mailboxes) self.assertEqual(address_list.mailboxes[0].domain, 'example.com') self.assertEqual(address_list.addresses[0].display_name, 'Monty Python') self.assertEqual(address_list.addresses[0].mailboxes[0].domain, 'example.com') def test_get_address_list_group_and_mailboxes(self): address_list = self._test_get_x(parser.get_address_list, ('Monty Python: dinsdale@example.com, "Fred" <flint@example.com>;, ' 'Abe <x@example.com>, Bee <y@example.com>'), ('Monty Python: dinsdale@example.com, "Fred" <flint@example.com>;, ' 'Abe <x@example.com>, Bee <y@example.com>'), ('Monty Python: dinsdale@example.com, "Fred" <flint@example.com>;, ' 'Abe <x@example.com>, Bee <y@example.com>'), [], '') self.assertEqual(address_list.token_type, 'address-list') self.assertEqual(len(address_list.mailboxes), 4) self.assertEqual(address_list.mailboxes, address_list.all_mailboxes) self.assertEqual(len(address_list.addresses), 3) self.assertEqual(address_list.mailboxes[0].local_part, 'dinsdale') self.assertEqual(address_list.addresses[0].display_name, 'Monty Python') self.assertEqual(address_list.addresses[0].mailboxes[0].domain, 'example.com') self.assertEqual(address_list.addresses[0].mailboxes[1].local_part, 'flint') self.assertEqual(address_list.addresses[1].mailboxes[0].local_part, 'x') self.assertEqual(address_list.addresses[2].mailboxes[0].local_part, 'y') self.assertEqual(str(address_list.addresses[1]), str(address_list.mailboxes[2])) def test_invalid_content_disposition(self): content_disp = self._test_parse_x( parser.parse_content_disposition_header, ";attachment", "; attachment", ";attachment", [errors.InvalidHeaderDefect]*2 ) def test_invalid_content_transfer_encoding(self): cte = self._test_parse_x( parser.parse_content_transfer_encoding_header, ";foo", ";foo", ";foo", [errors.InvalidHeaderDefect]*3 ) @parameterize class Test_parse_mime_parameters(TestParserMixin, TestEmailBase): def mime_parameters_as_value(self, value, tl_str, tl_value, params, defects): mime_parameters = self._test_parse_x(parser.parse_mime_parameters, value, tl_str, tl_value, defects) self.assertEqual(mime_parameters.token_type, 'mime-parameters') self.assertEqual(list(mime_parameters.params), params) mime_parameters_params = { 'simple': ( 'filename="abc.py"', ' filename="abc.py"', 'filename=abc.py', [('filename', 'abc.py')], []), 'multiple_keys': ( 'filename="abc.py"; xyz=abc', ' filename="abc.py"; xyz="abc"', 'filename=abc.py; xyz=abc', [('filename', 'abc.py'), ('xyz', 'abc')], []), 'split_value': ( "filename*0*=iso-8859-1''%32%30%31%2E; filename*1*=%74%69%66", ' filename="201.tif"', "filename*0*=iso-8859-1''%32%30%31%2E; filename*1*=%74%69%66", [('filename', '201.tif')], []), # Note that it is undefined what we should do for error recovery when # there are duplicate parameter names or duplicate parts in a split # part. We choose to ignore all duplicate parameters after the first # and to take duplicate or missing rfc 2231 parts in appearance order. # This is backward compatible with get_param's behavior, but the # decisions are arbitrary. 'duplicate_key': ( 'filename=abc.gif; filename=def.tiff', ' filename="abc.gif"', "filename=abc.gif; filename=def.tiff", [('filename', 'abc.gif')], [errors.InvalidHeaderDefect]), 'duplicate_key_with_split_value': ( "filename*0*=iso-8859-1''%32%30%31%2E; filename*1*=%74%69%66;" " filename=abc.gif", ' filename="201.tif"', "filename*0*=iso-8859-1''%32%30%31%2E; filename*1*=%74%69%66;" " filename=abc.gif", [('filename', '201.tif')], [errors.InvalidHeaderDefect]), 'duplicate_key_with_split_value_other_order': ( "filename=abc.gif; " " filename*0*=iso-8859-1''%32%30%31%2E; filename*1*=%74%69%66", ' filename="abc.gif"', "filename=abc.gif;" " filename*0*=iso-8859-1''%32%30%31%2E; filename*1*=%74%69%66", [('filename', 'abc.gif')], [errors.InvalidHeaderDefect]), 'duplicate_in_split_value': ( "filename*0*=iso-8859-1''%32%30%31%2E; filename*1*=%74%69%66;" " filename*1*=abc.gif", ' filename="201.tifabc.gif"', "filename*0*=iso-8859-1''%32%30%31%2E; filename*1*=%74%69%66;" " filename*1*=abc.gif", [('filename', '201.tifabc.gif')], [errors.InvalidHeaderDefect]), 'missing_split_value': ( "filename*0*=iso-8859-1''%32%30%31%2E; filename*3*=%74%69%66;", ' filename="201.tif"', "filename*0*=iso-8859-1''%32%30%31%2E; filename*3*=%74%69%66;", [('filename', '201.tif')], [errors.InvalidHeaderDefect]), 'duplicate_and_missing_split_value': ( "filename*0*=iso-8859-1''%32%30%31%2E; filename*3*=%74%69%66;" " filename*3*=abc.gif", ' filename="201.tifabc.gif"', "filename*0*=iso-8859-1''%32%30%31%2E; filename*3*=%74%69%66;" " filename*3*=abc.gif", [('filename', '201.tifabc.gif')], [errors.InvalidHeaderDefect]*2), # Here we depart from get_param and assume the *0* was missing. 'duplicate_with_broken_split_value': ( "filename=abc.gif; " " filename*2*=iso-8859-1''%32%30%31%2E; filename*3*=%74%69%66", ' filename="abc.gif201.tif"', "filename=abc.gif;" " filename*2*=iso-8859-1''%32%30%31%2E; filename*3*=%74%69%66", [('filename', 'abc.gif201.tif')], # Defects are apparent missing *0*, and two 'out of sequence'. [errors.InvalidHeaderDefect]*3), } @parameterize class Test_parse_mime_version(TestParserMixin, TestEmailBase): def mime_version_as_value(self, value, tl_str, tl_value, major, minor, defects): mime_version = self._test_parse_x(parser.parse_mime_version, value, tl_str, tl_value, defects) self.assertEqual(mime_version.major, major) self.assertEqual(mime_version.minor, minor) mime_version_params = { 'rfc_2045_1': ( '1.0', '1.0', '1.0', 1, 0, []), 'RFC_2045_2': ( '1.0 (produced by MetaSend Vx.x)', '1.0 (produced by MetaSend Vx.x)', '1.0 ', 1, 0, []), 'RFC_2045_3': ( '(produced by MetaSend Vx.x) 1.0', '(produced by MetaSend Vx.x) 1.0', ' 1.0', 1, 0, []), 'RFC_2045_4': ( '1.(produced by MetaSend Vx.x)0', '1.(produced by MetaSend Vx.x)0', '1. 0', 1, 0, []), 'empty': ( '', '', '', None, None, [errors.HeaderMissingRequiredValue]), } class TestFolding(TestEmailBase): policy = policy.default def _test(self, tl, folded, policy=policy): self.assertEqual(tl.fold(policy=policy), folded, tl.ppstr()) def test_simple_unstructured_no_folds(self): self._test(parser.get_unstructured("This is a test"), "This is a test\n") def test_simple_unstructured_folded(self): self._test(parser.get_unstructured("This is also a test, but this " "time there are enough words (and even some " "symbols) to make it wrap; at least in theory."), "This is also a test, but this time there are enough " "words (and even some\n" " symbols) to make it wrap; at least in theory.\n") def test_unstructured_with_unicode_no_folds(self): self._test(parser.get_unstructured("hübsch kleiner beißt"), "=?utf-8?q?h=C3=BCbsch_kleiner_bei=C3=9Ft?=\n") def test_one_ew_on_each_of_two_wrapped_lines(self): self._test(parser.get_unstructured("Mein kleiner Kaktus ist sehr " "hübsch. Es hat viele Stacheln " "und oft beißt mich."), "Mein kleiner Kaktus ist sehr =?utf-8?q?h=C3=BCbsch=2E?= " "Es hat viele Stacheln\n" " und oft =?utf-8?q?bei=C3=9Ft?= mich.\n") def test_ews_combined_before_wrap(self): self._test(parser.get_unstructured("Mein Kaktus ist hübsch. " "Es beißt mich. " "And that's all I'm sayin."), "Mein Kaktus ist =?utf-8?q?h=C3=BCbsch=2E__Es_bei=C3=9Ft?= " "mich. And that's\n" " all I'm sayin.\n") # XXX Need test of an encoded word so long that it needs to be wrapped def test_simple_address(self): self._test(parser.get_address_list("abc <xyz@example.com>")[0], "abc <xyz@example.com>\n") def test_address_list_folding_at_commas(self): self._test(parser.get_address_list('abc <xyz@example.com>, ' '"Fred Blunt" <sharp@example.com>, ' '"J.P.Cool" <hot@example.com>, ' '"K<>y" <key@example.com>, ' 'Firesale <cheap@example.com>, ' '<end@example.com>')[0], 'abc <xyz@example.com>, "Fred Blunt" <sharp@example.com>,\n' ' "J.P.Cool" <hot@example.com>, "K<>y" <key@example.com>,\n' ' Firesale <cheap@example.com>, <end@example.com>\n') def test_address_list_with_unicode_names(self): self._test(parser.get_address_list( 'Hübsch Kaktus <beautiful@example.com>, ' 'beißt beißt <biter@example.com>')[0], '=?utf-8?q?H=C3=BCbsch?= Kaktus <beautiful@example.com>,\n' ' =?utf-8?q?bei=C3=9Ft_bei=C3=9Ft?= <biter@example.com>\n') def test_address_list_with_unicode_names_in_quotes(self): self._test(parser.get_address_list( '"Hübsch Kaktus" <beautiful@example.com>, ' '"beißt" beißt <biter@example.com>')[0], '=?utf-8?q?H=C3=BCbsch?= Kaktus <beautiful@example.com>,\n' ' =?utf-8?q?bei=C3=9Ft_bei=C3=9Ft?= <biter@example.com>\n') # XXX Need tests with comments on various sides of a unicode token, # and with unicode tokens in the comments. Spaces inside the quotes # currently don't do the right thing. def test_split_at_whitespace_after_header_before_long_token(self): body = parser.get_unstructured(' ' + 'x'*77) header = parser.Header([ parser.HeaderLabel([parser.ValueTerminal('test:', 'atext')]), parser.CFWSList([parser.WhiteSpaceTerminal(' ', 'fws')]), body]) self._test(header, 'test: \n ' + 'x'*77 + '\n') def test_split_at_whitespace_before_long_token(self): self._test(parser.get_unstructured('xxx ' + 'y'*77), 'xxx \n ' + 'y'*77 + '\n') def test_overlong_encodeable_is_wrapped(self): first_token_with_whitespace = 'xxx ' chrome_leader = '=?utf-8?q?' len_chrome = len(chrome_leader) + 2 len_non_y = len_chrome + len(first_token_with_whitespace) self._test(parser.get_unstructured(first_token_with_whitespace + 'y'*80), first_token_with_whitespace + chrome_leader + 'y'*(78-len_non_y) + '?=\n' + ' ' + chrome_leader + 'y'*(80-(78-len_non_y)) + '?=\n') def test_long_filename_attachment(self): self._test(parser.parse_content_disposition_header( 'attachment; filename="TEST_TEST_TEST_TEST' '_TEST_TEST_TEST_TEST_TEST_TEST_TEST_TEST_TES.txt"'), "attachment;\n" " filename*0*=us-ascii''TEST_TEST_TEST_TEST_TEST_TEST" "_TEST_TEST_TEST_TEST_TEST;\n" " filename*1*=_TEST_TES.txt\n", ) if __name__ == '__main__': unittest.main()

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8a41c523cf012e7f702148c0c18fb11cc4ebacee

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py

Python

theano/gpuarray/tests/test_multinomial.py

JimmyRetza/Theano

72d83bce0d547d54ab3513bcba35c166979f7a6f

[ "BSD-3-Clause" ]

9

2018-10-29T20:25:25.000Z

2021-11-17T11:03:17.000Z

theano/gpuarray/tests/test_multinomial.py

EnjoyLifeFund/Debian_py36_packages

1985d4c73fabd5f08f54b922e73a9306e09c77a5

[ "BSD-3-Clause", "BSD-2-Clause", "MIT" ]

null

theano/gpuarray/tests/test_multinomial.py

EnjoyLifeFund/Debian_py36_packages

1985d4c73fabd5f08f54b922e73a9306e09c77a5

[ "BSD-3-Clause", "BSD-2-Clause", "MIT" ]

1

2020-01-06T20:28:42.000Z

from __future__ import absolute_import, print_function, division import os import numpy as np import unittest import theano from theano import config, function, tensor from theano.compat import PY3 from theano.misc.pkl_utils import CompatUnpickler from theano.sandbox import multinomial from theano.sandbox.rng_mrg import MRG_RandomStreams as RandomStreams import theano.tests.unittest_tools as utt from .config import mode_with_gpu from ..multinomial import (GPUAMultinomialFromUniform, GPUAChoiceFromUniform) def test_multinomial_output_dtype(): # This tests the MultinomialFromUniform Op directly, not going through the # multinomial() call in GPU random generation. p = tensor.fmatrix() u = tensor.fvector() for dtype in ['int64', 'float32', 'float16', 'float64', 'int32', 'auto']: m = theano.sandbox.multinomial.MultinomialFromUniform(dtype)(p, u) # the m*2 allows the multinomial to reuse output f = function([p, u], m * 2, allow_input_downcast=True, mode=mode_with_gpu) assert any([type(node.op) is GPUAMultinomialFromUniform for node in f.maker.fgraph.toposort()]) # test that both first and second samples can be drawn utt.assert_allclose(f([[1, 0], [0, 1]], [.1, .1]), [[2, 0], [0, 2]]) # test that both second labels can be drawn r = f([[.2, .8], [.3, .7]], [.31, .31]) utt.assert_allclose(r, [[0, 2], [0, 2]]) # test that both first labels can be drawn r = f([[.2, .8], [.3, .7]], [.21, .21]) utt.assert_allclose(r, [[0, 2], [2, 0]]) # change the size to make sure output gets reallocated ok # and also make sure that the GPU version doesn't screw up the # transposed-ness r = f([[.2, .8]], [.25]) utt.assert_allclose(r, [[0, 2]]) def test_multinomial_input_dtype(): # This tests the MultinomialFromUniform Op directly, not going through the # multinomial() call in GPU random generation. for idtype in ['float32', 'float16', 'float64']: for odtype in ['float32', 'float16', 'float64', 'int32']: p = tensor.matrix('p', idtype) u = tensor.vector('u', idtype) # p = tensor.dmatrix('p') # u = tensor.dvector('u') m = theano.sandbox.multinomial.MultinomialFromUniform(odtype)(p, u) # the m*2 allows the multinomial to reuse output f = function([p, u], m * 2, allow_input_downcast=True, mode=mode_with_gpu) assert any([type(node.op) is GPUAMultinomialFromUniform for node in f.maker.fgraph.toposort()]) # test that both first and second samples can be drawn utt.assert_allclose(f([[1, 0], [0, 1]], [.1, .1]), [[2, 0], [0, 2]]) # test that both second labels can be drawn r = f([[.2, .8], [.3, .7]], [.31, .31]) utt.assert_allclose(r, [[0, 2], [0, 2]]) # test that both first labels can be drawn r = f([[.2, .8], [.3, .7]], [.21, .21]) utt.assert_allclose(r, [[0, 2], [2, 0]]) # change the size to make sure output gets reallocated ok # and also make sure that the GPU version doesn't screw up the # transposed-ness r = f([[.2, .8]], [.25]) utt.assert_allclose(r, [[0, 2]]) # TODO: check a bigger example (make sure blocking on GPU is handled correctly) def test_multinomial_large(): # DEBUG_MODE will test this on GPU p = tensor.fmatrix() u = tensor.fvector() m = theano.sandbox.multinomial.MultinomialFromUniform('auto')(p, u) f = function([p, u], m * 2, allow_input_downcast=True, mode=mode_with_gpu) assert any([type(node.op) is GPUAMultinomialFromUniform for node in f.maker.fgraph.toposort()]) pval = np.arange(10000 * 4, dtype='float32').reshape((10000, 4)) + 0.1 pval = pval / pval.sum(axis=1)[:, None] uval = np.ones_like(pval[:, 0]) * 0.5 mval = f(pval, uval) assert mval.shape == pval.shape if config.cast_policy == 'custom': assert mval.dtype == pval.dtype elif config.cast_policy == 'numpy+floatX': assert mval.dtype == config.floatX elif config.cast_policy == 'numpy': assert mval.dtype == 'float64' else: raise NotImplementedError(config.cast_policy) utt.assert_allclose(mval.sum(axis=1), 2) asdf = np.asarray([0, 0, 2, 0]) + 0 * pval utt.assert_allclose(mval, asdf) # broadcast over all rows def test_gpu_opt_dtypes(): # Test if the returned samples are of the datatype specified for dtype in ['uint32', 'float32', 'int64', 'float64']: p = tensor.fmatrix() u = tensor.fvector() m = theano.sandbox.multinomial.MultinomialFromUniform(dtype)(p, u) f = function([p, u], m, allow_input_downcast=True, mode=mode_with_gpu) assert any([type(node.op) is GPUAMultinomialFromUniform for node in f.maker.fgraph.toposort()]) pval = np.arange(10000 * 4, dtype='float32').reshape((10000, 4)) + 0.1 pval = pval / pval.sum(axis=1)[:, None] uval = np.ones_like(pval[:, 0]) * 0.5 samples = f(pval, uval) assert samples.dtype == dtype, "%s != %s" % (samples.dtype, dtype) def test_gpu_opt(): # Does have some overlap with test_multinomial_0 # We test the case where we put the op on the gpu when the output # is moved to the gpu. p = tensor.fmatrix() u = tensor.fvector() m = theano.sandbox.multinomial.MultinomialFromUniform('auto')(p, u) assert m.dtype == 'float32', m.dtype f = function([p, u], m, allow_input_downcast=True, mode=mode_with_gpu) assert any([type(node.op) is GPUAMultinomialFromUniform for node in f.maker.fgraph.toposort()]) pval = np.arange(10000 * 4, dtype='float32').reshape((10000, 4)) + 0.1 pval = pval / pval.sum(axis=1)[:, None] uval = np.ones_like(pval[:, 0]) * 0.5 f(pval, uval) # Test with a row, it was failing in the past. r = tensor.frow() m = theano.sandbox.multinomial.MultinomialFromUniform('auto')(r, u) assert m.dtype == 'float32', m.dtype f = function([r, u], m, allow_input_downcast=True, mode=mode_with_gpu) assert any([type(node.op) is GPUAMultinomialFromUniform for node in f.maker.fgraph.toposort()]) pval = np.arange(1 * 4, dtype='float32').reshape((1, 4)) + 0.1 pval = pval / pval.sum(axis=1)[:, None] uval = np.ones_like(pval[:, 0]) * 0.5 f(pval, uval) class test_OP_wor(unittest.TestCase): def test_select_distinct(self): # Tests that ChoiceFromUniform always selects distinct elements p = tensor.fmatrix() u = tensor.fvector() n = tensor.iscalar() m = multinomial.ChoiceFromUniform(odtype='auto')(p, u, n) f = function([p, u, n], m, allow_input_downcast=True) n_elements = 1000 all_indices = range(n_elements) np.random.seed(12345) for i in [5, 10, 50, 100, 500, n_elements]: uni = np.random.rand(i).astype(config.floatX) pvals = np.random.randint(1, 100, (1, n_elements)).astype(config.floatX) pvals /= pvals.sum(1) res = f(pvals, uni, i) res = np.squeeze(res) assert len(res) == i, res assert np.all(np.in1d(np.unique(res), all_indices)), res def test_fail_select_alot(self): # Tests that ChoiceFromUniform fails when asked to sample more # elements than the actual number of elements p = tensor.fmatrix() u = tensor.fvector() n = tensor.iscalar() m = multinomial.ChoiceFromUniform(odtype='auto')(p, u, n) f = function([p, u, n], m, allow_input_downcast=True) n_elements = 100 n_selected = 200 np.random.seed(12345) uni = np.random.rand(n_selected).astype(config.floatX) pvals = np.random.randint(1, 100, (1, n_elements)).astype(config.floatX) pvals /= pvals.sum(1) self.assertRaises(ValueError, f, pvals, uni, n_selected) def test_select_proportional_to_weight(self): # Tests that ChoiceFromUniform selects elements, on average, # proportional to the their probabilities p = tensor.fmatrix() u = tensor.fvector() n = tensor.iscalar() m = multinomial.ChoiceFromUniform(odtype='auto')(p, u, n) f = function([p, u, n], m, allow_input_downcast=True) n_elements = 100 n_selected = 10 mean_rtol = 0.0005 np.random.seed(12345) pvals = np.random.randint(1, 100, (1, n_elements)).astype(config.floatX) pvals /= pvals.sum(1) avg_pvals = np.zeros((n_elements,), dtype=config.floatX) for rep in range(10000): uni = np.random.rand(n_selected).astype(config.floatX) res = f(pvals, uni, n_selected) res = np.squeeze(res) avg_pvals[res] += 1 avg_pvals /= avg_pvals.sum() avg_diff = np.mean(abs(avg_pvals - pvals)) assert avg_diff < mean_rtol, avg_diff class test_function_wor(unittest.TestCase): def test_select_distinct(self): # Tests that multinomial_wo_replacement always selects distinct elements th_rng = RandomStreams(12345) p = tensor.fmatrix() n = tensor.iscalar() m = th_rng.multinomial_wo_replacement(pvals=p, n=n) f = function([p, n], m, allow_input_downcast=True) n_elements = 1000 all_indices = range(n_elements) np.random.seed(12345) for i in [5, 10, 50, 100, 500, n_elements]: pvals = np.random.randint(1, 100, (1, n_elements)).astype(config.floatX) pvals /= pvals.sum(1) res = f(pvals, i) res = np.squeeze(res) assert len(res) == i assert np.all(np.in1d(np.unique(res), all_indices)), res def test_fail_select_alot(self): # Tests that multinomial_wo_replacement fails when asked to sample more # elements than the actual number of elements th_rng = RandomStreams(12345) p = tensor.fmatrix() n = tensor.iscalar() m = th_rng.multinomial_wo_replacement(pvals=p, n=n) f = function([p, n], m, allow_input_downcast=True) n_elements = 100 n_selected = 200 np.random.seed(12345) pvals = np.random.randint(1, 100, (1, n_elements)).astype(config.floatX) pvals /= pvals.sum(1) self.assertRaises(ValueError, f, pvals, n_selected) def test_select_proportional_to_weight(self): # Tests that multinomial_wo_replacement selects elements, on average, # proportional to the their probabilities th_rng = RandomStreams(12345) p = tensor.fmatrix() n = tensor.iscalar() m = th_rng.multinomial_wo_replacement(pvals=p, n=n) f = function([p, n], m, allow_input_downcast=True) n_elements = 100 n_selected = 10 mean_rtol = 0.0005 np.random.seed(12345) pvals = np.random.randint(1, 100, (1, n_elements)).astype(config.floatX) pvals /= pvals.sum(1) avg_pvals = np.zeros((n_elements,), dtype=config.floatX) for rep in range(10000): res = f(pvals, n_selected) res = np.squeeze(res) avg_pvals[res] += 1 avg_pvals /= avg_pvals.sum() avg_diff = np.mean(abs(avg_pvals - pvals)) assert avg_diff < mean_rtol def test_gpu_opt_wor(): # We test the case where we put the op on the gpu when the output # is moved to the gpu. p = tensor.fmatrix() u = tensor.fvector() n = tensor.iscalar() for replace in [False, True]: m = multinomial.ChoiceFromUniform(odtype='auto', replace=replace)(p, u, n) assert m.dtype == 'int64', m.dtype f = function([p, u, n], m, allow_input_downcast=True, mode=mode_with_gpu) assert any([type(node.op) is GPUAChoiceFromUniform for node in f.maker.fgraph.toposort()]) n_samples = 3 pval = np.arange(10000 * 4, dtype='float32').reshape((10000, 4)) + 0.1 pval = pval / pval.sum(axis=1)[:, None] uval = np.ones(pval.shape[0] * n_samples) * 0.5 f(pval, uval, n_samples) # Test with a row, it was failing in the past. r = tensor.frow() m = multinomial.ChoiceFromUniform('auto', replace=replace)(r, u, n) assert m.dtype == 'int64', m.dtype f = function([r, u, n], m, allow_input_downcast=True, mode=mode_with_gpu) assert any([type(node.op) is GPUAChoiceFromUniform for node in f.maker.fgraph.toposort()]) pval = np.arange(1 * 4, dtype='float32').reshape((1, 4)) + 0.1 pval = pval / pval.sum(axis=1)[:, None] uval = np.ones_like(pval[:, 0]) * 0.5 f(pval, uval, 1) def test_unpickle_legacy_op(): testfile_dir = os.path.dirname(os.path.realpath(__file__)) fname = 'test_gpuarray_multinomial_wo_replacement.pkl' if not PY3: with open(os.path.join(testfile_dir, fname), 'r') as fp: u = CompatUnpickler(fp) m = u.load() assert isinstance(m, GPUAChoiceFromUniform)

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8a435353d0590ddc341920171468033fccbe60e5

137

py

Python

.history/URI/URI/intermediario/2936_quanta_mandioca_20210714121821.py

Aleff13/poo-ufsc

bc1574df26f840a3c0fd5b1e0c72e5d69f61493d

[ "MIT" ]

1

2021-11-28T18:49:21.000Z

URI/URI/intermediario/2936_quanta_mandioca.py

Aleff13/poo-ufsc

bc1574df26f840a3c0fd5b1e0c72e5d69f61493d

[ "MIT" ]

null

URI/URI/intermediario/2936_quanta_mandioca.py

Aleff13/poo-ufsc

bc1574df26f840a3c0fd5b1e0c72e5d69f61493d

[ "MIT" ]

null

n=int(input())*300 n1=int(input())*1500 n2=int(input())*600 n3=int(input())*1000 n4=int(input())*150 resp=(n+n1+n2+n3+n4)+225 print(resp)

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8a832e7d1dcd6330560f6ca15f344d845f14becc

23

py

Python

__init__.py

Plasmabot1/KiBuzzard

55a191cab66e9ab8ac5f3c0354d9d56eb75d1eca

[ "MIT" ]

22

2021-01-17T19:04:31.000Z

2021-04-10T01:52:57.000Z

__init__.py

arturo182/KiBuzzard

a963b413a0c89f7d7eb88bc15fc15186a19f5dfc

[ "MIT" ]

13

2021-01-17T17:45:49.000Z

2021-04-25T05:54:48.000Z

__init__.py

arturo182/KiBuzzard

a963b413a0c89f7d7eb88bc15fc15186a19f5dfc

[ "MIT" ]

6

2021-02-01T19:15:05.000Z

2021-03-18T15:19:49.000Z

from . import KiBuzzard

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8aa161f10c8973e8425c9f5ca6759a20cf174a67

81

py

Python

turbustat/statistics/dendrograms/__init__.py

CFD-UTSA/Turbulence-stars

354d02e38d15e3b0d1f751b43f430dbd3a14c250

[ "MIT" ]

42

2016-04-07T20:49:59.000Z

2022-03-28T12:54:13.000Z

turbustat/statistics/dendrograms/__init__.py

CFD-UTSA/Turbulence-stars

354d02e38d15e3b0d1f751b43f430dbd3a14c250

[ "MIT" ]

131

2015-03-05T21:42:27.000Z

2021-07-22T14:59:04.000Z

turbustat/statistics/dendrograms/__init__.py

CFD-UTSA/Turbulence-stars

354d02e38d15e3b0d1f751b43f430dbd3a14c250

[ "MIT" ]

21

2015-06-10T17:10:06.000Z

2022-02-28T15:59:42.000Z

from .dendro_stats import Dendrogram_Stats, Dendrogram_Distance, DendroDistance

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null

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5

8abb58dd67b19efedc646f390c315f80681e407b

52

py

Python

problem/10000~19999/17496/17496.pypy3.py

njw1204/BOJ-AC

1de41685725ae4657a7ff94e413febd97a888567

[ "MIT" ]

1

2019-04-19T16:37:44.000Z

problem/10000~19999/17496/17496.pypy3.py

njw1204/BOJ-AC

1de41685725ae4657a7ff94e413febd97a888567

[ "MIT" ]

1

2019-04-20T11:42:44.000Z

problem/10000~19999/17496/17496.pypy3.py

njw1204/BOJ-AC

1de41685725ae4657a7ff94e413febd97a888567

[ "MIT" ]

3

2019-04-19T16:37:47.000Z

2021-10-25T00:45:00.000Z

n,t,c,p=map(int,input().split());print((n-1)//t*c*p)

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null

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0

1

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5

8abf5364582a09ccd7cf1e9748f4403faf2ef9cc

9,976

py

Python

bamboo/tests/controllers/test_datasets_edit.py

pld/bamboo

a0fc77aebd6ff6b1087ba46896b0ce705fbb25a3

[ "BSD-3-Clause" ]

27

2015-01-14T15:57:54.000Z

2020-12-27T19:34:41.000Z

bamboo/tests/controllers/test_datasets_edit.py

biswapanda/bamboo

72fc260822a27ce52cbe65de178f8fa1b60311f3

[ "BSD-3-Clause" ]

2

2015-08-06T15:23:28.000Z

2016-01-28T00:05:25.000Z

bamboo/tests/controllers/test_datasets_edit.py

biswapanda/bamboo

72fc260822a27ce52cbe65de178f8fa1b60311f3

[ "BSD-3-Clause" ]

10

2015-08-07T01:50:39.000Z

2019-05-15T21:41:18.000Z

from pandas import Series import simplejson as json from bamboo.controllers.datasets import Datasets from bamboo.models.dataset import Dataset from bamboo.models.observation import Observation from bamboo.tests.controllers.test_abstract_datasets import\ TestAbstractDatasets class TestDatasetsEdit(TestAbstractDatasets): def setUp(self): TestAbstractDatasets.setUp(self) def test_show_row(self): dataset_id = self._post_file() result = json.loads(self.controller.row_show(dataset_id, 0)) self.assertTrue(isinstance(result, dict)) self.assertEqual(9.0, result['amount']) result = json.loads(self.controller.row_show(dataset_id, "0")) self.assertTrue(isinstance(result, dict)) self.assertEqual(9.0, result['amount']) def test_show_row_nonexistent_index(self): dataset_id = self._post_file() result = json.loads(self.controller.row_show(dataset_id, "90")) self.assertTrue(isinstance(result, dict)) self.assertTrue(Datasets.ERROR in result) def test_show_row_bad_index(self): dataset_id = self._post_file() result = json.loads(self.controller.row_show(dataset_id, "A")) self.assertTrue(isinstance(result, dict)) self.assertTrue(Datasets.ERROR in result) def test_delete_row(self): dataset_id = self._post_file() dataset = Dataset.find_one(dataset_id) index = 0 expected_dframe = Dataset.find_one( dataset_id).dframe()[index + 1:].reset_index() del expected_dframe['index'] results = json.loads(self.controller.row_delete(dataset_id, index)) self.assertTrue(Datasets.SUCCESS in results.keys()) dataset = Dataset.find_one(dataset_id) dframe = dataset.dframe() self.assertEqual(self.NUM_ROWS - 1, len(dframe)) self._check_dframes_are_equal(expected_dframe, dframe) # check info updated info = dataset.info() self.assertEqual(self.NUM_ROWS - 1, info[Dataset.NUM_ROWS]) # check that row is softly deleted all_observations = Observation.find(dataset, include_deleted=True) self.assertEqual(self.NUM_ROWS, len(all_observations)) def test_delete_row_with_agg(self): amount_sum = 2007.5 amount_sum_after = 1998.5 index = 0 self.dataset_id = self._post_file() self._post_calculations(formulae=['sum(amount)']) agg = self._test_aggregations()[0] self.assertEqual(agg['sum_amount_'], amount_sum) results = json.loads( self.controller.row_delete(self.dataset_id, index)) self.assertTrue(Datasets.SUCCESS in results.keys()) agg = self._test_aggregations()[0] self.assertEqual(agg['sum_amount_'], amount_sum_after) def test_delete_row_with_join(self): index = 0 left_dataset_id = self._post_file() right_dataset_id = self._post_file('good_eats_aux.csv') on = 'food_type' results = json.loads(self.controller.join( left_dataset_id, right_dataset_id, on=on)) joined_dataset_id = results[Dataset.ID] results = json.loads(self.controller.join( joined_dataset_id, right_dataset_id, on=on)) joined_dataset_id2 = results[Dataset.ID] results = json.loads( self.controller.row_delete(left_dataset_id, index)) self.assertTrue(Datasets.SUCCESS in results.keys()) dframe = Dataset.find_one(joined_dataset_id).dframe(index=True) self.assertFalse(index in dframe['index'].tolist()) dframe = Dataset.find_one(joined_dataset_id2).dframe(index=True) self.assertFalse(index in dframe['index'].tolist()) def test_delete_row_with_merge(self): index = 0 dataset_id1 = self._post_file() dataset_id2 = self._post_file() result = json.loads(self.controller.merge( dataset_ids=json.dumps([dataset_id1, dataset_id2]))) merged_id = result[Dataset.ID] results = json.loads( self.controller.row_delete(dataset_id2, index)) self.assertTrue(Datasets.SUCCESS in results.keys()) results = json.loads( self.controller.row_delete(dataset_id1, index)) self.assertTrue(Datasets.SUCCESS in results.keys()) dframe = Dataset.find_one(merged_id).dframe(index=True) self.assertFalse(index in dframe['index'].tolist()) self.assertFalse(index + self.NUM_ROWS in dframe['index'].tolist()) def test_edit_row(self): dataset_id = self._post_file() index = 0 update = {'amount': 10, 'food_type': 'breakfast'} expected_dframe = Dataset.find_one(dataset_id).dframe() expected_row = expected_dframe.ix[0].to_dict() expected_row.update(update) expected_dframe.ix[0] = Series(expected_row) results = json.loads(self.controller.row_update(dataset_id, index, json.dumps(update))) self.assertTrue(Datasets.SUCCESS in results.keys()) dataset = Dataset.find_one(dataset_id) dframe = dataset.dframe() self.assertEqual(self.NUM_ROWS, len(dframe)) self._check_dframes_are_equal(expected_dframe, dframe) # check that previous row exists all_observations = Observation.find(dataset, include_deleted=True) self.assertEqual(self.NUM_ROWS + 1, len(all_observations)) def test_edit_row_with_calculation(self): amount_before = 9 amount_after = 10 value = 5 index = 0 update = {'amount': amount_after, 'food_type': 'breakfast'} self.dataset_id = self._post_file() self._post_calculations(formulae=['amount + %s' % value]) result = json.loads(self.controller.row_show(self.dataset_id, index)) self.assertEqual(amount_before + value, result['amount___%s' % value]) results = json.loads(self.controller.row_update(self.dataset_id, index, json.dumps(update))) self.assertTrue(Datasets.SUCCESS in results.keys()) result = json.loads(self.controller.row_show(self.dataset_id, index)) self.assertEqual(amount_after + value, result['amount___%s' % value]) def test_edit_row_with_agg(self): amount_sum = 2007.5 amount_sum_after = 2008.5 self.dataset_id = self._post_file() self._post_calculations(formulae=['sum(amount)']) agg = self._test_aggregations()[0] self.assertEqual(agg['sum_amount_'], amount_sum) index = 0 update = {'amount': 10, 'food_type': 'breakfast'} results = json.loads(self.controller.row_update(self.dataset_id, index, json.dumps(update))) self.assertTrue(Datasets.SUCCESS in results.keys()) agg = self._test_aggregations()[0] self.assertEqual(agg['sum_amount_'], amount_sum_after) def test_edit_row_with_join(self): index = 0 value = 10 update = {'amount': value, 'food_type': 'breakfast'} left_dataset_id = self._post_file() right_dataset_id = self._post_file('good_eats_aux.csv') on = 'food_type' results = json.loads(self.controller.join( left_dataset_id, right_dataset_id, on=on)) joined_dataset_id = results[Dataset.ID] results = json.loads(self.controller.join( joined_dataset_id, right_dataset_id, on=on)) joined_dataset_id2 = results[Dataset.ID] results = json.loads(self.controller.row_update(left_dataset_id, index, json.dumps(update))) self.assertTrue(Datasets.SUCCESS in results.keys()) result = json.loads(self.controller.row_show(joined_dataset_id, 0)) self.assertEqual(value, result['amount']) result = json.loads(self.controller.row_show(joined_dataset_id2, 0)) self.assertEqual(value, result['amount']) def test_edit_row_with_join_invalid(self): index = 0 update = {'food_type': 'deserts'} left_dataset_id = self._post_file() right_dataset_id = self._post_file('good_eats_aux.csv') num_rows_before = Dataset.find_one(right_dataset_id).num_rows on = 'food_type' json.loads(self.controller.join( left_dataset_id, right_dataset_id, on=on)) results = json.loads(self.controller.row_update( right_dataset_id, index, json.dumps(update))) self.assertTrue(Datasets.SUCCESS in results.keys()) dataset = Dataset.find_one(right_dataset_id) self.assertEqual(num_rows_before, dataset.num_rows) self.assertEqual(dataset.pending_updates, []) def test_edit_row_with_merge(self): index = 0 value = 10 update = {'amount': value, 'food_type': 'breakfast'} dataset_id1 = self._post_file() dataset_id2 = self._post_file() result = json.loads(self.controller.merge( dataset_ids=json.dumps([dataset_id1, dataset_id2]))) merged_id = result[Dataset.ID] results = json.loads(self.controller.row_update(dataset_id1, index, json.dumps(update))) self.assertTrue(Datasets.SUCCESS in results.keys()) results = json.loads(self.controller.row_update(dataset_id2, index, json.dumps(update))) self.assertTrue(Datasets.SUCCESS in results.keys()) result = json.loads(self.controller.row_show(merged_id, index)) self.assertEqual(value, result['amount']) result = json.loads(self.controller.row_show(merged_id, index + self.NUM_ROWS)) self.assertEqual(value, result['amount'])

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1

0

1

0

null

0

5

8ad1a3dd1e6c3060924deb681ec12dc65a1f81b6

46

py

Python

mapreduce/__init__.py

File5/simple-mapreduce

3a37b880656f4f27010e77266be9f64ea5d181b5

[ "MIT" ]

9

2021-02-19T16:01:27.000Z

2021-03-11T20:51:59.000Z

mapreduce/__init__.py

File5/simple-mapreduce

3a37b880656f4f27010e77266be9f64ea5d181b5

[ "MIT" ]

null

mapreduce/__init__.py

File5/simple-mapreduce

3a37b880656f4f27010e77266be9f64ea5d181b5

[ "MIT" ]

2

2021-02-19T16:51:29.000Z

2021-02-27T01:00:20.000Z

from mapreduce.mapreduce import MapReduceTask

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45

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46

8.2

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null

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1

0

5

76eb0e33f03dbb9b75f15cdf429011e951159527

23

py

Python

samples/LuceneInAction/lia/analysis/queryparser/__init__.py

romanchyla/pylucene-trunk

990079ff0c76b972ce5ef2bac9b85334a0a1f27a

[ "Apache-2.0" ]

15

2015-05-21T09:28:01.000Z

2022-03-18T23:41:49.000Z

samples/LuceneInAction/lia/analysis/queryparser/__init__.py

fnp/pylucene

fb16ac375de5479dec3919a5559cda02c899e387

[ "Apache-2.0" ]

1

2021-09-30T03:59:43.000Z

samples/LuceneInAction/lia/analysis/queryparser/__init__.py

romanchyla/pylucene-trunk

990079ff0c76b972ce5ef2bac9b85334a0a1f27a

[ "Apache-2.0" ]

13

2015-04-18T23:05:11.000Z

2021-11-29T21:23:26.000Z

# queryparser package

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1

0

1

0

null

0

1

0

5

76ec066a24aa09bc82582b6147739306abcd2f42

88

py

Python

app/scheme/admin.py

aacsspkt/autodealerappliation

c7ab3ae8e57e91c797129e87a13bd00d41bc4753

[ "MIT" ]

null

app/scheme/admin.py

aacsspkt/autodealerappliation

c7ab3ae8e57e91c797129e87a13bd00d41bc4753

[ "MIT" ]

null

app/scheme/admin.py

aacsspkt/autodealerappliation

c7ab3ae8e57e91c797129e87a13bd00d41bc4753

[ "MIT" ]

null

from django.contrib import admin from .models import Scheme admin.site.register(Scheme)

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null

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1

0

1

0

1

0

5

0a1ec157b576869d590aacfa371ba6d8b9d0f63c

44

py

Python

src/__main__.py

transparent-bench/Hospital-management-system

42d0188432dbd229a7a8a3758386d8743c997f52

[ "MIT" ]

null

src/__main__.py

transparent-bench/Hospital-management-system

42d0188432dbd229a7a8a3758386d8743c997f52

[ "MIT" ]

8

2019-11-25T21:01:13.000Z

2019-11-28T19:34:52.000Z

src/__main__.py

transparent-bench/Hospital-management-system

42d0188432dbd229a7a8a3758386d8743c997f52

[ "MIT" ]

null

from src.utils.gui.view import main main()

11

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44

4.125

0.875

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0.136364

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14.666667

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null

0

1

0

null

0

1

0

1

0

5

0a54be450b305d74672d558e307553f99e2567a7

309

py

Python

common/mask_prune/__init__.py

jiahuei/tf-sparse-captioning

9d7b8ecdd44fb1541500ca4f920d6c94fd15bad1

[ "BSD-3-Clause" ]

null

common/mask_prune/__init__.py

jiahuei/tf-sparse-captioning

9d7b8ecdd44fb1541500ca4f920d6c94fd15bad1

[ "BSD-3-Clause" ]

null

common/mask_prune/__init__.py

jiahuei/tf-sparse-captioning

9d7b8ecdd44fb1541500ca4f920d6c94fd15bad1

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- """ Created on 14 Jun 2019 15:37:45 @author: jiahuei """ from common.mask_prune import masked_layer_v4 as masked_layer from common.mask_prune import sampler_v2 as sampler from common.mask_prune import prune_v1 as pruning from common.mask_prune import sparse_layer_v1 as sparse_layer

25.75

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0.240343

0.32618

0.429185

0

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309

11

62

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0

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null

0

1

0

1

0

1

0

5

6a52661c285d998966ba2810544de44cc5ad2d3f

36,828

py

Python

tests/graph_test.py

SeaOfOcean/EasyParallelLibrary

93baaa851f5ce078b1c55032a27398a588ca4107

[ "Apache-2.0" ]

100

2022-02-23T08:54:35.000Z

2022-03-31T04:02:38.000Z

tests/graph_test.py

SeaOfOcean/EasyParallelLibrary

93baaa851f5ce078b1c55032a27398a588ca4107

[ "Apache-2.0" ]

null

tests/graph_test.py

SeaOfOcean/EasyParallelLibrary

93baaa851f5ce078b1c55032a27398a588ca4107

[ "Apache-2.0" ]

22

2022-02-23T09:02:01.000Z

2022-03-18T03:24:00.000Z

# Copyright 2021 Alibaba Group Holding Limited. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================= """Test for graph.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import copy from distutils.version import LooseVersion as Version import warnings import numpy as np import tensorflow as tf from tensorflow.contrib.data.python.ops import threadpool from tensorflow.python.framework.versions import __version__ from tensorflow.python.platform import test import epl from epl.utils import constant from epl.config import Config from epl.env import Env from epl.ir.graph import Graph from epl.ir.graph import GraphKeys from epl.ir.phase import ModelPhase from epl.parallel.graph_editor import Custom warnings.simplefilter("always") # pylint: disable=missing-docstring,protected-access,unused-argument # pylint: disable=line-too-long,bad-continuation,unused-variable class GraphTest(test.TestCase): """Test import functions of parallelism transformation""" def _model_def(self): with epl.replicate(device_count=1, name="stage_0"): num_x = np.random.randint(0, 10, (500, 10)).astype(dtype=np.float32) num_y = np.random.randint(0, 10, 500).astype(dtype=np.int32) dataset = tf.data.Dataset.from_tensor_slices((num_x, num_y)) \ .batch(10).repeat(1) iterator = dataset.make_initializable_iterator() tf.add_to_collection(tf.GraphKeys.TABLE_INITIALIZERS, iterator.initializer) x, _ = iterator.get_next() dense1 = tf.layers.dense(inputs=x, units=16, activation=None) with epl.replicate(device_count=1, name="stage_1"): logits = tf.layers.dense(inputs=dense1, units=10, activation=None) return tf.reduce_mean(logits) def test_graph_with_clip(self): config = epl.Config() config.pipeline.num_micro_batch = 2 epl.init(config) with tf.Graph().as_default(): loss = self._model_def() epl.add_to_collection(loss, GraphKeys.GLOBAL_MEAN_OBJECTS) g = Graph.get() self.assertEqual(g._current_model_phase, ModelPhase.FORWARD) optimizer = tf.train.AdamOptimizer(learning_rate=0.01) tvars = tf.trainable_variables() grads = tf.gradients(loss, tvars) (grads, _) = tf.clip_by_global_norm(grads, clip_norm=1.0) optimizer.apply_gradients(list(zip(grads, tvars))) self.assertEqual(g._current_model_phase, ModelPhase.FORWARD) tf.train.MonitoredTrainingSession(config=tf.ConfigProto( log_device_placement=False)) # check first taskgraph. b_exit_op_list = list(g.taskgraphs[0].backward_exit_ops(0, 0)) for b_exit_op in b_exit_op_list: self.assertEqual(len(b_exit_op.outputs), 1) self.assertEqual(len(b_exit_op.outputs[0].consumers), 2) consumers_type = \ [b_exit_op.type for b_exit_op in \ list(b_exit_op.outputs[0].consumers)] self.assertTrue(("Add" in consumers_type) ^ ("AddV2" in consumers_type)) b_exit_op_list = [b_exit_op.name for b_exit_op in b_exit_op_list] list.sort(b_exit_op_list) self.assertEqual(b_exit_op_list, [ "clip_by_global_norm/clip_by_global_norm/_0", "clip_by_global_norm/clip_by_global_norm/_1" ]) # check second taskgraph. s_1_b_exit_0_0 = g.taskgraphs[1].backward_exit_ops(0, 0) for b_exit_op in s_1_b_exit_0_0: self.assertEqual(len(b_exit_op.outputs), 1) self.assertEqual(len(b_exit_op.outputs[0].consumers), 2) consumers_type = \ [b_exit_op.type for b_exit_op in \ list(b_exit_op.outputs[0].consumers)] self.assertTrue(("Add" in consumers_type) ^ ("AddV2" in consumers_type)) self.assertEqual(len(s_1_b_exit_0_0), 2) s_1_b_exit_0_0 = \ [b_exit_op.name for b_exit_op in s_1_b_exit_0_0] list.sort(s_1_b_exit_0_0) self.assertEqual(s_1_b_exit_0_0, [ "clip_by_global_norm/clip_by_global_norm/_2", "clip_by_global_norm/clip_by_global_norm/_3" ]) def test_graph_with_clip_and_scale(self): config = epl.Config() config.pipeline.num_micro_batch = 2 epl.init(config) with tf.Graph().as_default(): loss = self._model_def() g = Graph.get() epl.add_to_collection(loss, GraphKeys.GLOBAL_MEAN_OBJECTS) self.assertEqual(g._current_model_phase, ModelPhase.FORWARD) optimizer = tf.train.AdamOptimizer(learning_rate=0.01) tvars = tf.trainable_variables() grads = tf.gradients(loss, tvars) (grads, _) = tf.clip_by_global_norm(grads, clip_norm=1.0) # Scale gradients manually grads = [grad * float(1 / 2) for grad in grads] optimizer.apply_gradients(list(zip(grads, tvars))) self.assertEqual(g._current_model_phase, ModelPhase.FORWARD) tf.train.MonitoredTrainingSession(config=tf.ConfigProto( log_device_placement=False)) # check first taskgraph. b_exit_op_list = list(g.taskgraphs[0].backward_exit_ops(0, 0)) for b_exit_op in b_exit_op_list: self.assertEqual(len(b_exit_op.outputs), 1) self.assertEqual(len(b_exit_op.outputs[0].consumers), 2) consumers_type = \ [b_exit_op.type for b_exit_op in \ list(b_exit_op.outputs[0].consumers)] self.assertTrue(("Add" in consumers_type) ^ ("AddV2" in consumers_type)) b_exit_op_list = [b_exit_op.name for b_exit_op in b_exit_op_list] list.sort(b_exit_op_list) self.assertEqual(b_exit_op_list, ["mul", "mul_1"]) # check second taskgraph. s_1_b_exit_0_0 = g.taskgraphs[1].backward_exit_ops(0, 0) for b_exit_op in s_1_b_exit_0_0: self.assertEqual(len(b_exit_op.outputs), 1) self.assertEqual(len(b_exit_op.outputs[0].consumers), 2) consumers_type = \ [b_exit_op.type for b_exit_op in \ list(b_exit_op.outputs[0].consumers)] self.assertTrue(("Add" in consumers_type) ^ ("AddV2" in consumers_type)) self.assertEqual(len(s_1_b_exit_0_0), 2) s_1_b_exit_0_0 = \ [b_exit_op.name for b_exit_op in s_1_b_exit_0_0] list.sort(s_1_b_exit_0_0) self.assertEqual(s_1_b_exit_0_0, ["mul_2", "mul_3"]) def test_graph_with_clip_after_allreduce(self): conf = Config() # Clip gradients after allreduce conf.communication.clip_after_allreduce = True conf.pipeline.num_micro_batch = 2 epl.init(conf) with tf.Graph().as_default(): loss = self._model_def() g = Graph.get() epl.add_to_collection(loss, GraphKeys.GLOBAL_MEAN_OBJECTS) self.assertEqual(g._current_model_phase, ModelPhase.FORWARD) optimizer = tf.train.AdamOptimizer(learning_rate=0.01) tvars = tf.trainable_variables() grads = tf.gradients(loss, tvars) (grads, _) = tf.clip_by_global_norm(grads, clip_norm=1.0) optimizer.apply_gradients(list(zip(grads, tvars))) self.assertEqual(g._current_model_phase, ModelPhase.FORWARD) tf.train.MonitoredTrainingSession(config=tf.ConfigProto( log_device_placement=False)) # check first taskgraph. b_exit_op_list = list(g.taskgraphs[0].backward_exit_ops(0, 0)) b_exit_op_list = [b_exit_op.name for b_exit_op in b_exit_op_list] list.sort(b_exit_op_list) self.assertEqual(b_exit_op_list, [ "gradients/dense/BiasAdd_grad/BiasAddGrad", "gradients/dense/MatMul_grad/MatMul_1" ]) # check second taskgraph. s_1_b_exit_0_0 = g.taskgraphs[1].backward_exit_ops(0, 0) s_1_b_exit_0_0 = \ [b_exit_op.name for b_exit_op in s_1_b_exit_0_0] list.sort(s_1_b_exit_0_0) self.assertEqual(s_1_b_exit_0_0, [ "gradients/dense_1/BiasAdd_grad/BiasAddGrad", "gradients/dense_1/MatMul_grad/MatMul_1" ]) def test_outside_strategy_error(self): epl.init() with tf.Graph().as_default(): x1 = tf.constant(1.1, shape=[2, 2]) with epl.replicate(name="replica_0"): x2 = tf.constant(1.1, shape=[2, 2]) with epl.replicate(name="replica_1"): dense = tf.layers.dense(inputs=x2, units=2) with warnings.catch_warnings(record=True) as w: loss = tf.reduce_mean(dense) with warnings.catch_warnings(record=True) as w: optimizer = tf.train.AdamOptimizer(learning_rate=0.01) self.assertEqual(0, len(w)) with warnings.catch_warnings(record=True) as w: gvs = optimizer.compute_gradients(loss) self.assertEqual(0, len(w)) with warnings.catch_warnings(record=True) as w: optimizer.apply_gradients(gvs) self.assertEqual(0, len(w)) x3 = tf.constant(1.1, shape=[2, 2]) self.assertEqual(Graph.get()._user_default_taskgraph, None) self.assertNotEqual(Graph.get()._epl_default_taskgraph, None) self.assertEqual(Graph.get()._epl_default_taskgraph.index, 1) epl.set_default_strategy(epl.replicate(1, name="replica_2")) x4 = tf.constant(1.1, shape=[2, 2]) with epl.replicate(name="replica_3"): x5 = tf.constant(1.1, shape=[2, 2]) self.assertNotEqual(Graph.get()._epl_default_taskgraph, None) self.assertNotEqual(Graph.get()._user_default_taskgraph, None) self.assertEqual(Graph.get()._user_default_taskgraph.index, 2) self.assertEqual(Graph.get()._epl_default_taskgraph.index, 3) def test_graph(self): config = epl.Config() config.pipeline.num_micro_batch = 2 epl.init(config) with tf.Graph().as_default(): loss = self._model_def() epl.add_to_collection(loss, GraphKeys.GLOBAL_MEAN_OBJECTS) g = Graph.get() self.assertEqual(g._current_model_phase, ModelPhase.FORWARD) optimizer = tf.train.AdamOptimizer(learning_rate=0.01) gvs = optimizer.compute_gradients(loss) self.assertEqual(g._current_model_phase, ModelPhase.FORWARD) optimizer.apply_gradients(gvs) self.assertEqual(g._current_model_phase, ModelPhase.FORWARD) tf.train.MonitoredTrainingSession(config=tf.ConfigProto( log_device_placement=False)) self.assertEqual(len(g.taskgraphs), 2) # Test traverse_depend_ops. depend_ops = g.traverse_depend_ops("IteratorGetNext", consider_outputs=False) self.assertEqual(len(depend_ops), 1) self.assertEqual(depend_ops[0].name, "IteratorV2") dataset_depend_ops = g.get_dataset_related_ops() if Version(__version__) < Version("1.14.0"): self.assertEqual(len(dataset_depend_ops), 11) assert_depend_ops = [ "IteratorV2", "IteratorToStringHandle", "MakeIterator", "RepeatDataset", "BatchDatasetV2", "count", "TensorSliceDataset", "batch_size", "drop_remainder", "tensors/component_0", "tensors/component_1" ] elif Version(__version__) < Version("2.0"): assert_depend_ops = ([ "TensorSliceDataset", "IteratorToStringHandle", "RepeatDataset", "BatchDatasetV2", "count", "ModelDataset", "OptimizeDataset", "IteratorV2", "batch_size", "normalize_element/component_0", "normalize_element/component_1", "drop_remainder", "MakeIterator", "optimizations" ]) else: raise RuntimeError("Version of tensorflow is not supported for now." "Tenosrflow Version: %s." % __version__) for op in assert_depend_ops: self.assertTrue(g.get_operation_by_name(op) in dataset_depend_ops) # check get_local_replicas obj = g.get_operation_by_name("IteratorV2") self.assertEqual(g.get_local_replicas(obj), []) obj = g.get_operation_by_name("dense/BiasAdd") local_replicas = [x.name for x in g.get_local_replicas(obj)] self.assertEqual(local_replicas, ["EPL_REPLICA_1/dense/BiasAdd"]) obj = g.get_operation_by_name("EPL_REPLICA_1/dense/BiasAdd") local_replicas = [x.name for x in g.get_local_replicas(obj)] self.assertEqual(local_replicas, []) obj = g.get_operation_by_name("EPL_MICRO_BATCH_1/dense/BiasAdd") local_replicas = [x.name for x in g.get_local_replicas(obj)] self.assertEqual(local_replicas, ["EPL_REPLICA_1/EPL_MICRO_BATCH_1/dense/BiasAdd"]) # check get_local_micro_batches obj = g.get_operation_by_name("IteratorV2") self.assertEqual(g.get_local_micro_batches(obj), []) obj = g.get_operation_by_name("dense/BiasAdd") local_micro_batches = \ [x.name for x in g.get_local_micro_batches(obj)] self.assertEqual(local_micro_batches, ["EPL_MICRO_BATCH_1/dense/BiasAdd"]) obj = g.get_operation_by_name("EPL_REPLICA_1/dense/BiasAdd") local_micro_batches = \ [x.name for x in g.get_local_micro_batches(obj)] self.assertEqual(local_micro_batches, ["EPL_REPLICA_1/EPL_MICRO_BATCH_1/dense/BiasAdd"]) obj = g.get_operation_by_name("EPL_MICRO_BATCH_1/dense/BiasAdd") local_micro_batches = \ [x.name for x in g.get_local_micro_batches(obj)] self.assertEqual(local_micro_batches, []) # check first taskgraph. self.assertTrue(g.taskgraphs[0].is_first_stage) self.assertTrue(g.pipeline_enabled) self.assertEqual(g.taskgraphs[0].pipeline_config.num_micro_batch, 2) self.assertEqual(g.taskgraphs[0].num_replicas, 2) self.assertEqual(g.taskgraphs[0].local_num_replicas, 2) broadcast_tensors_0 = \ [tensor.name for tensor in g.taskgraphs[0].get_variables(0)] self.assertEqual(broadcast_tensors_0, [ "dense/kernel:0", "dense/bias:0", "beta1_power:0", "beta2_power:0", "dense/kernel/Adam:0", "dense/kernel/Adam_1:0", "dense/bias/Adam:0", "dense/bias/Adam_1:0" ]) broadcast_tensors_1 = \ [tensor.name for tensor in g.taskgraphs[0].get_variables(1)] self.assertEqual(broadcast_tensors_1, [ "EPL_REPLICA_1/dense/kernel:0", "EPL_REPLICA_1/dense/bias:0", "EPL_REPLICA_1/beta1_power:0", "EPL_REPLICA_1/beta2_power:0", "EPL_REPLICA_1/dense/kernel/Adam:0", "EPL_REPLICA_1/dense/kernel/Adam_1:0", "EPL_REPLICA_1/dense/bias/Adam:0", "EPL_REPLICA_1/dense/bias/Adam_1:0" ]) gradients = [grad.name for grad in g.taskgraphs[0].gradients] list.sort(gradients) self.assertEqual(gradients, [ "gradients/dense/BiasAdd_grad/tuple/control_dependency_1:0", "gradients/dense/MatMul_grad/tuple/control_dependency_1:0" ]) self.assertEqual([ f_ent_op.name for f_ent_op in list(g.taskgraphs[0].forward_entrance_ops(0, 0)) ], ["IteratorGetNext"]) self.assertEqual(len(g.taskgraphs[0].forward_exit_ops(0, 0)), 1) f_exit_ops = [f_exit_op.name for f_exit_op in \ list(g.taskgraphs[0].forward_exit_ops(0, 0))] list.sort(f_exit_ops) self.assertEqual(f_exit_ops, ["dense/BiasAdd"]) self.assertEqual(len(g.taskgraphs[0].backward_entrance_ops(0, 0)), 2) b_ent_op_list = [ b_ent_op.name for b_ent_op in g.taskgraphs[0].backward_entrance_ops(0, 0) ] list.sort(b_ent_op_list) self.assertEqual(b_ent_op_list, [ "gradients/dense/MatMul_grad/MatMul", "gradients/dense/MatMul_grad/MatMul_1" ]) b_exit_op_list = [ b_exit_op.name for b_exit_op in list(g.taskgraphs[0].backward_exit_ops(0, 0)) ] list.sort(b_exit_op_list) self.assertEqual(b_exit_op_list, [ "gradients/dense/BiasAdd_grad/tuple/control_dependency_1", "gradients/dense/MatMul_grad/tuple/control_dependency_1" ]) # check second taskgraph. self.assertFalse(g.taskgraphs[1].is_first_stage) self.assertTrue(g.pipeline_enabled) self.assertEqual(g.taskgraphs[1].pipeline_config.num_micro_batch, 2) self.assertEqual(g.taskgraphs[1].num_replicas, 2) self.assertEqual(g.taskgraphs[1].local_num_replicas, 2) broadcast_tensors_0 = \ [tensor.name for tensor in g.taskgraphs[1].get_variables(0)] self.assertEqual(broadcast_tensors_0, [ "dense_1/kernel:0", "dense_1/bias:0", "dense_1/kernel/Adam:0", "dense_1/kernel/Adam_1:0", "dense_1/bias/Adam:0", "dense_1/bias/Adam_1:0" ]) broadcast_tensors_1 = \ [tensor.name for tensor in g.taskgraphs[1].get_variables(1)] self.assertEqual(broadcast_tensors_1, [ "EPL_REPLICA_1/dense_1/kernel:0", "EPL_REPLICA_1/dense_1/bias:0", "EPL_REPLICA_1/dense_1/kernel/Adam:0", "EPL_REPLICA_1/dense_1/kernel/Adam_1:0", "EPL_REPLICA_1/dense_1/bias/Adam:0", "EPL_REPLICA_1/dense_1/bias/Adam_1:0" ]) gradients = [grad.name for grad in g.taskgraphs[1].gradients] list.sort(gradients) self.assertEqual(gradients, [ "gradients/dense_1/BiasAdd_grad/tuple/control_dependency_1:0", "gradients/dense_1/MatMul_grad/tuple/control_dependency_1:0" ]) f_ent_ops = [f_ent_op.name for f_ent_op in \ list(g.taskgraphs[1].forward_entrance_ops(0, 0))] list.sort(f_ent_ops) self.assertEqual(len(f_ent_ops), 1) self.assertEqual(f_ent_ops, ["dense_1/MatMul"]) f_exit_ops = [f_exit_op.name for f_exit_op in \ list(g.taskgraphs[1].forward_exit_ops(0, 0))] list.sort(f_exit_ops) self.assertEqual(len(f_exit_ops), 1) self.assertListEqual(f_exit_ops, ["Mean"]) b_ent_ops = [b_ent_op.name for b_ent_op in \ list(g.taskgraphs[1].backward_entrance_ops(0, 0))] list.sort(b_ent_ops) self.assertEqual(len(b_ent_ops), 1) self.assertEqual(b_ent_ops, ["gradients/dense_1/MatMul_grad/MatMul"]) self.assertEqual(len(g.taskgraphs[1].backward_exit_ops(0, 0)), 2) s_1_b_exit_0_0 = \ [b_exit_op.name for b_exit_op in \ list(g.taskgraphs[1].backward_exit_ops(0, 0))] list.sort(s_1_b_exit_0_0) self.assertEqual(s_1_b_exit_0_0, [ "gradients/dense_1/BiasAdd_grad/tuple/control_dependency_1", "gradients/dense_1/MatMul_grad/tuple/control_dependency_1" ]) # check forward_operation_placement cpu_device = Env.get().cluster.current_worker_cpu() for sub_idx in range(len(g.taskgraphs)): for op in g.taskgraphs[sub_idx].operations.forward_operations(0, 0): if op in dataset_depend_ops: self.assertEqual(op.device, cpu_device) else: self.assertEqual(op.device, g.taskgraphs[sub_idx].virtual_device.get_device(0, 0)) # check fetch_micro_batch_num self.assertEqual(g.get_pipeline_config().num_micro_batch, 2) # check num_constructors self.assertEqual(g.num_constructors, 1) # check if some op need clone self.assertEqual( g.vars_related_op_names, ["dense/kernel", "dense/bias", "dense_1/kernel", "dense_1/bias"]) # check graphkeys self.assertEqual(GraphKeys.ALL_COLLECTION_KEYS, [ GraphKeys.GLOBAL_CONCAT_OBJECTS, GraphKeys.GLOBAL_MEAN_OBJECTS, GraphKeys.GLOBAL_SUM_OBJECTS, GraphKeys.LOCAL_CONCAT_OBJECTS, GraphKeys.LOCAL_MEAN_OBJECTS, GraphKeys.LOCAL_SUM_OBJECTS ]) # check collection self.assertEqual(g.get_collection(GraphKeys.GLOBAL_CONCAT_OBJECTS), []) global_mean = [ obj.name for obj in g.get_collection(GraphKeys.GLOBAL_MEAN_OBJECTS) ] self.assertEqual(global_mean, ["Mean:0"]) self.assertEqual(g.get_collection(GraphKeys.GLOBAL_SUM_OBJECTS), []) self.assertEqual(g.get_collection(GraphKeys.LOCAL_CONCAT_OBJECTS), []) self.assertEqual(g.get_collection(GraphKeys.LOCAL_MEAN_OBJECTS), []) self.assertEqual(g.get_collection(GraphKeys.LOCAL_SUM_OBJECTS), []) # check node_clone_for_pipeline num_micro_batch = 2 dp_index = 0 for sub_idx in range(len(g.taskgraphs) - 1): op_list = g.taskgraphs[sub_idx].operations.forward_operations(0, 0) for op in op_list: for micro_batch_idx in range(1, num_micro_batch): prefix = constant.MICRO_BATCH_PREFIX_FORMAT.format(micro_batch_idx) node_def = copy.deepcopy(op.node_def) if op in dataset_depend_ops: continue if dp_index == 0 and not g.is_global_step_related(op) \ and not g.is_vars_related(op): op_cloned = g.get_operation_by_name(prefix + op.name) self.assertEqual(op_cloned.device, op.device) # check dep_ops of pipeline customs = [] for taskgraph in g.taskgraphs: customs.append(Custom(taskgraph, 0)) self.assertEqual([op.name for op in customs[0].forward_entrance_ops[0]], ["IteratorGetNext"]) f_exit_ops = [op.name for op in customs[0].forward_exit_ops[0]] list.sort(f_exit_ops) self.assertEqual(f_exit_ops, ["dense/BiasAdd"]) c_0_b_ent_ops = [op.name for op in customs[0].backward_entrance_ops[0]] list.sort(c_0_b_ent_ops) self.assertEqual(c_0_b_ent_ops, [ "gradients/dense/MatMul_grad/MatMul", "gradients/dense/MatMul_grad/MatMul_1" ]) c_0_b_exit_ops = [op.name for op in customs[0].backward_exit_ops[0]] list.sort(c_0_b_exit_ops) self.assertEqual(c_0_b_exit_ops, [ "gradients/dense/BiasAdd_grad/tuple/control_dependency_1", "gradients/dense/MatMul_grad/tuple/control_dependency_1" ]) f_ent_ops = [op.name for op in customs[1].forward_entrance_ops[0]] list.sort(f_ent_ops) f_exit_ops = [op.name for op in customs[1].forward_exit_ops[0]] list.sort(f_exit_ops) b_ent_ops = [op.name for op in customs[1].backward_entrance_ops[0]] list.sort(b_ent_ops) self.assertEqual(f_ent_ops, ["dense_1/MatMul"]) self.assertEqual(f_exit_ops, ["Mean"]) self.assertEqual(b_ent_ops, ["gradients/dense_1/MatMul_grad/MatMul"]) c_1_b_exit_ops_0 = [op.name for op in customs[1].backward_exit_ops[0]] list.sort(c_1_b_exit_ops_0) self.assertEqual(c_1_b_exit_ops_0, [ "gradients/dense_1/BiasAdd_grad/tuple/control_dependency_1", "gradients/dense_1/MatMul_grad/tuple/control_dependency_1" ]) f_ent_ops = [op.name for op in customs[0].forward_entrance_ops[1]] list.sort(f_ent_ops) f_exit_ops = [op.name for op in customs[0].forward_exit_ops[1]] list.sort(f_exit_ops) c_1_b_ent_ops = [op.name for op in customs[0].backward_entrance_ops[1]] list.sort(c_1_b_ent_ops) c_1_b_exit_ops = [op.name for op in customs[0].backward_exit_ops[1]] list.sort(c_1_b_exit_ops) self.assertEqual(f_ent_ops, ["EPL_MICRO_BATCH_1/IteratorGetNext"]) self.assertEqual(f_exit_ops, ["EPL_MICRO_BATCH_1/dense/BiasAdd"]) self.assertEqual(c_1_b_ent_ops, [ "EPL_MICRO_BATCH_1/gradients/dense/MatMul_grad/MatMul", "EPL_MICRO_BATCH_1/gradients/dense/MatMul_grad/MatMul_1" ]) self.assertEqual( c_1_b_exit_ops, ["EPL_MICRO_BATCH_1/gradients/dense/BiasAdd_grad/tuple/control_dependency_1", \ "EPL_MICRO_BATCH_1/gradients/dense/MatMul_grad/tuple/control_dependency_1"]) f_ent_ops = [op.name for op in customs[1].forward_entrance_ops[1]] list.sort(f_ent_ops) f_exit_ops = [op.name for op in customs[1].forward_exit_ops[1]] list.sort(f_exit_ops) c_1_b_ent_ops = [op.name for op in customs[1].backward_entrance_ops[1]] list.sort(c_1_b_ent_ops) c_1_b_exit_ops = [op.name for op in customs[1].backward_exit_ops[1]] list.sort(c_1_b_exit_ops) self.assertEqual(f_ent_ops, ["EPL_MICRO_BATCH_1/dense_1/MatMul"]) self.assertEqual(f_exit_ops, ["EPL_MICRO_BATCH_1/Mean"]) self.assertEqual( c_1_b_ent_ops, ["EPL_MICRO_BATCH_1/gradients/dense_1/MatMul_grad/MatMul"]) self.assertEqual(c_1_b_exit_ops, [ "EPL_MICRO_BATCH_1/gradients/dense_1/BiasAdd_grad/tuple/control_dependency_1", "EPL_MICRO_BATCH_1/gradients/dense_1/MatMul_grad/tuple/control_dependency_1" ]) def test_graph_format(self): config = epl.Config() config.pipeline.num_micro_batch = 2 epl.init(config) with tf.Graph().as_default(): loss = self._model_def() epl.add_to_collection(loss, GraphKeys.GLOBAL_MEAN_OBJECTS) optimizer = tf.train.AdamOptimizer(learning_rate=0.01) gvs = optimizer.compute_gradients(loss) optimizer.apply_gradients(gvs) is_version_valid = (Version(__version__) >= Version("1.12.0") and Version(__version__) < Version("1.14.0")) or \ (Version(__version__) < Version("2.0") and Version(__version__) >= Version("1.14.0")) self.assertTrue(is_version_valid) new_tf_version = Version(__version__) < Version("2.0") and Version( __version__) >= Version("1.14.0") format_str = "======= Begin Taskgraph 0 replica 0 [Device: /job:worker/replica:0/task:0/device:GPU:0] =======\n" \ + " TensorSliceDataset\n" \ + " BatchDatasetV2\n" \ + " RepeatDataset\n" \ + (" OptimizeDataset\n" if new_tf_version else "") \ + (" ModelDataset\n" if new_tf_version else "") \ + " MakeIterator\n" \ + " IteratorToStringHandle\n" \ + " IteratorGetNext\n" \ + " dense\n" \ + "======= End Taskgraph 0 replica 0 [Device: /job:worker/replica:0/task:0/device:GPU:0] =======\n" \ + "\n" \ + "======= Begin Taskgraph 0 replica 1 [Device: /job:worker/replica:0/task:0/device:GPU:2] =======\n" \ + " EPL_REPLICA_1\n" \ + " EPL_REPLICA_1/IteratorGetNext\n" \ + " EPL_REPLICA_1/dense\n" \ + "======= End Taskgraph 0 replica 1 [Device: /job:worker/replica:0/task:0/device:GPU:2] =======\n" \ + "\n" \ + "======= Begin Taskgraph 1 replica 0 [Device: /job:worker/replica:0/task:0/device:GPU:1] =======\n" \ + " dense_1\n" \ + " Mean\n" \ + "======= End Taskgraph 1 replica 0 [Device: /job:worker/replica:0/task:0/device:GPU:1] =======\n" \ + "\n" \ + "======= Begin Taskgraph 1 replica 1 [Device: /job:worker/replica:0/task:0/device:GPU:3] =======\n" \ + " EPL_REPLICA_1\n" \ + " EPL_REPLICA_1/dense_1\n" \ + " EPL_REPLICA_1/Mean\n" \ + "======= End Taskgraph 1 replica 1 [Device: /job:worker/replica:0/task:0/device:GPU:3] =======" format_str2 = "======= Begin Taskgraph 0 replica 0 [Device: /job:worker/replica:0/task:0/device:GPU:0] =======\n" \ + " dense\n" \ + "======= End Taskgraph 0 replica 0 [Device: /job:worker/replica:0/task:0/device:GPU:0] =======\n" \ + "\n" \ + "======= Begin Taskgraph 0 replica 1 [Device: /job:worker/replica:0/task:0/device:GPU:2] =======\n" \ + " EPL_REPLICA_1\n" \ + " EPL_REPLICA_1/dense\n" \ + "======= End Taskgraph 0 replica 1 [Device: /job:worker/replica:0/task:0/device:GPU:2] =======\n" \ + "\n" \ + "======= Begin Taskgraph 1 replica 0 [Device: /job:worker/replica:0/task:0/device:GPU:1] =======\n" \ + " dense_1\n" \ + "======= End Taskgraph 1 replica 0 [Device: /job:worker/replica:0/task:0/device:GPU:1] =======\n" \ + "\n" \ + "======= Begin Taskgraph 1 replica 1 [Device: /job:worker/replica:0/task:0/device:GPU:3] =======\n" \ + " EPL_REPLICA_1\n" \ + " EPL_REPLICA_1/dense_1\n" \ + "======= End Taskgraph 1 replica 1 [Device: /job:worker/replica:0/task:0/device:GPU:3] =======" with tf.train.MonitoredTrainingSession(config=tf.ConfigProto( log_device_placement=False)) as sess: assert Graph.get().format(max_depth=1).strip() == format_str.strip() assert Graph.get().format( max_depth=1, prefix_list=["dense"]).strip() == format_str2.strip() def _model(self): num_x = np.random.randint(0, 10, (500, 10)).astype(dtype=np.float32) num_y = np.random.randint(0, 10, 500).astype(dtype=np.int32) dataset = tf.data.Dataset.from_tensor_slices((num_x, num_y)) \ .batch(10).repeat(1) iterator = dataset.make_initializable_iterator() tf.add_to_collection(tf.GraphKeys.TABLE_INITIALIZERS, iterator.initializer) x, _ = iterator.get_next() x = tf.layers.dense(inputs=x, units=16, activation=None) x = tf.layers.dense(inputs=x, units=16, activation=None) dense1 = tf.layers.dense(inputs=x, units=16, activation=None) logits = tf.layers.dense(inputs=dense1, units=10, activation=None) loss = tf.reduce_mean(logits) global_step = tf.train.get_or_create_global_step() optimizer = tf.train.MomentumOptimizer(learning_rate=0.001, momentum=0.9) train_op = optimizer.minimize(loss, global_step=global_step) max_steps = 3 hooks = [tf.train.StopAtStepHook(last_step=max_steps)] return [loss, train_op, global_step], hooks def test_multiple_graph(self): epl.init() steps = [] with tf.Graph().as_default(): with epl.replicate(device_count=1): train_opts, hooks = self._model() with tf.train.MonitoredTrainingSession(hooks=hooks) as sess: graph = epl.Graph.get() self.assertEqual(graph.num_stages, 1) self.assertEqual(graph.taskgraphs[0].num_replicas, 4) for i in range(3): train_loss, _, step = sess.run(train_opts) steps.append(step) self.assertEqual(steps, [0, 1, 2]) with tf.Graph().as_default(): train_opts, hooks = self._model() with tf.train.MonitoredTrainingSession(hooks=hooks) as sess: graph = epl.Graph.get() self.assertEqual(graph.num_stages, 1) self.assertEqual(graph.taskgraphs[0].num_replicas, 4) steps = [] for i in range(3): train_loss, step = sess.run([train_opts[0], train_opts[2]]) steps.append(step) self.assertEqual(steps, [0, 0, 0]) def test_multiple_graph_broadcast(self): epl.init() steps = [] with tf.Graph().as_default(): with epl.replicate(device_count=1): train_opts, hooks = self._model() with tf.train.MonitoredTrainingSession(hooks=hooks) as sess: graph = epl.Graph.get() self.assertEqual(graph.num_stages, 1) self.assertEqual(graph.taskgraphs[0].num_replicas, 4) for i in range(3): train_loss, _, step = sess.run(train_opts) steps.append(step) self.assertEqual(steps, [0, 1, 2]) broadcast_ops = [o for o in epl.ir.graph.Graph.get().operations.values() if o.type == 'EplNcclCommunicatorBroadcast'] self.assertEqual(len(broadcast_ops), len(epl.Graph.get().gradients)) steps = [] with tf.Graph().as_default(): with epl.replicate(device_count=1): train_opts, hooks = self._model() with tf.train.MonitoredTrainingSession(hooks=hooks) as sess: graph = epl.Graph.get() self.assertEqual(graph.num_stages, 1) self.assertEqual(graph.taskgraphs[0].num_replicas, 4) for i in range(3): train_loss, _, step = sess.run(train_opts) steps.append(step) self.assertEqual(steps, [0, 1, 2]) broadcast_ops = [o for o in epl.ir.graph.Graph.get().operations.values() if o.type == 'EplNcclCommunicatorBroadcast'] self.assertEqual(len(broadcast_ops), len(epl.Graph.get().gradients)) def test_dp_define_op_without_taskgraph(self): steps = [] epl.init() with tf.Graph().as_default(): global_step = tf.train.get_or_create_global_step() with epl.replicate(device_count=1): train_opts, hooks = self._model() with tf.train.MonitoredTrainingSession(hooks=hooks) as sess: graph = epl.Graph.get() self.assertEqual(graph.num_stages, 1) self.assertEqual(graph.taskgraphs[0].num_replicas, 4) self.assertEqual(graph.operations[global_step.op.name].taskgraph.index, 0) for i in range(3): train_loss, _, step = sess.run(train_opts) steps.append(step) self.assertEqual(steps, [0, 1, 2]) def test_ga_define_op_without_taskgraph(self): steps = [] config = epl.Config() config.pipeline.num_micro_batch = 2 epl.init(config) with tf.Graph().as_default(): global_step = tf.train.get_or_create_global_step() with epl.replicate(device_count=1): train_opts, hooks = self._model() with tf.train.MonitoredTrainingSession(hooks=hooks) as sess: graph = epl.Graph.get() self.assertEqual(graph.num_stages, 1) self.assertEqual(graph.taskgraphs[0].num_replicas, 4) self.assertEqual(graph.operations[global_step.op.name].taskgraph.index, 0) for i in range(6): train_loss, _, step = sess.run(train_opts) steps.append(step) self.assertEqual(steps, [0, 0, 1, 1, 2, 2]) def test_multithread_prefetch(self): if Version(__version__) >= Version("1.15.0"): return epl.init() epl.set_default_strategy(epl.replicate(1)) num_x = np.random.randint(0, 10, (500, 10)).astype(dtype=np.float32) num_y = np.random.randint(0, 10, 500).astype(dtype=np.int32) dataset = tf.data.Dataset.from_tensor_slices((num_x, num_y)) \ .batch(2).repeat(1) dataset = threadpool.override_threadpool( dataset, threadpool.PrivateThreadPool(2, display_name='input_pipeline_thread_pool')) iterator = dataset.make_initializable_iterator() tf.add_to_collection(tf.GraphKeys.TABLE_INITIALIZERS, iterator.initializer) source, target = iterator.get_next() x = tf.layers.dense(inputs=source, units=16, activation=None) x = tf.layers.dense(inputs=x, units=16, activation=None) dense1 = tf.layers.dense(inputs=x, units=16, activation=None) logits = tf.layers.dense(inputs=dense1, units=10, activation=None) loss = tf.reduce_mean(logits) global_step = tf.train.get_or_create_global_step() optimizer = tf.train.MomentumOptimizer(learning_rate=0.001, momentum=0.9) train_op = optimizer.minimize(loss, global_step=global_step) steps = [] with tf.train.MonitoredTrainingSession() as sess: for i in range(3): train_loss, _, step = sess.run([loss, train_op, global_step]) steps.append(step) self.assertEqual(steps, [0, 1, 2]) def test_check_and_set_cloned_dataset_need_clone(self): epl.init() epl.set_default_strategy(epl.replicate(1)) num_x = np.random.randint(0, 10, (500, 10)).astype(dtype=np.float32) num_y = np.random.randint(0, 10, 500).astype(dtype=np.int32) dataset = tf.data.Dataset.from_tensor_slices((num_x, num_y)) \ .batch(2).repeat(1) iterator = dataset.make_initializable_iterator() tf.add_to_collection(tf.GraphKeys.TABLE_INITIALIZERS, iterator.initializer) source, target = iterator.get_next() x = tf.layers.dense(inputs=source, units=16, activation=None) x = tf.layers.dense(inputs=x, units=16, activation=None) dense1 = tf.layers.dense(inputs=x, units=16, activation=None) logits = tf.layers.dense(inputs=dense1, units=10, activation=None) loss = tf.reduce_mean(logits) global_step = tf.train.get_or_create_global_step() optimizer = tf.train.MomentumOptimizer(learning_rate=0.001, momentum=0.9) train_op = optimizer.minimize(loss, global_step=global_step) epl.Graph.get().check_and_set_cloned_dataset_need_clone() # pylint: enable=missing-docstring,protected-access,unused-argument, # pylint: enable=line-too-long,bad-continuation,unused-variable if __name__ == "__main__": test.main()

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py

Python

lio/utils/plot/__init__.py

YivanZhang/lio

07587a6d864e7876b2ae4cdc00e59ac1b82781bc

[ "MIT" ]

8

2021-04-16T14:33:42.000Z

2022-03-23T03:47:33.000Z

lio/utils/plot/__init__.py

YivanZhang/lio

07587a6d864e7876b2ae4cdc00e59ac1b82781bc

[ "MIT" ]

1

2021-08-20T18:33:24.000Z

2021-08-21T14:54:00.000Z

lio/utils/plot/__init__.py

YivanZhang/lio

07587a6d864e7876b2ae4cdc00e59ac1b82781bc

[ "MIT" ]

null

from .data import cov2d, gaussian_mixture from . import simplex

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py

Python

pep-dvm-updater/config.py

siddhantkhandelwal/pep-website

4d8b0fc7d2c7fe41c3497e64b8a3c34f02c13bf9

[ "MIT" ]

null

pep-dvm-updater/config.py

siddhantkhandelwal/pep-website

4d8b0fc7d2c7fe41c3497e64b8a3c34f02c13bf9

[ "MIT" ]

3

2021-02-08T20:28:24.000Z

2021-06-10T21:04:27.000Z

pep-dvm-updater/config.py

siddhantkhandelwal/pep-website

4d8b0fc7d2c7fe41c3497e64b8a3c34f02c13bf9

[ "MIT" ]

null

HOST = '139.59.3.240' PORT = 9999

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222

py

Python

API/resources/visitors.py

Slavkata/MAC

1ba8f830367b550922af87b1acf8d22caf93dc23

[ "MIT" ]

3

2019-02-19T11:53:39.000Z

2019-05-26T15:36:52.000Z

API/resources/visitors.py

Slavkata/MAC-website

1ba8f830367b550922af87b1acf8d22caf93dc23

[ "MIT" ]

24

2019-02-26T12:26:34.000Z

2022-03-11T23:49:43.000Z

API/resources/visitors.py

Slavkata/MAC

1ba8f830367b550922af87b1acf8d22caf93dc23

[ "MIT" ]

1

2019-02-19T08:04:48.000Z

from models.visitors_count import VisitorsCount from flask_restful import Resource, reqparse from flask import jsonify class VisitorResource(Resource): def get(self): return jsonify(VisitorsCount.get_count())

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234

py

Python

pioneer/das/api/samples/annotations/lane.py

leddartech/pioneer.das.api

35f2c541ea8d1768d5f4612ea8d29cb2ba8345b7

[ "BSD-3-Clause" ]

8

2021-02-19T16:24:18.000Z

2021-10-01T17:51:22.000Z

pioneer/das/api/samples/annotations/lane.py

leddartech/pioneer.das.api

35f2c541ea8d1768d5f4612ea8d29cb2ba8345b7

[ "BSD-3-Clause" ]

8

2021-02-25T08:56:37.000Z

2021-10-20T20:58:26.000Z

pioneer/das/api/samples/annotations/lane.py

leddartech/pioneer.das.api

35f2c541ea8d1768d5f4612ea8d29cb2ba8345b7

[ "BSD-3-Clause" ]

2

2021-03-01T07:47:31.000Z

2021-07-07T20:50:27.000Z

from pioneer.das.api.samples.sample import Sample class Lane(Sample): def __init__(self, index, datasource, virtual_raw = None, virtual_ts = None): super(Lane, self).__init__(index, datasource, virtual_raw, virtual_ts)

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py

Python

HacoWeb/haco/venv/bin/ogrmerge.py

DeanORourke1996/haco

fc04d763735ca376c51e82e1f1be20b092ce751c

[ "MIT" ]

null

HacoWeb/haco/venv/bin/ogrmerge.py

DeanORourke1996/haco

fc04d763735ca376c51e82e1f1be20b092ce751c

[ "MIT" ]

null

HacoWeb/haco/venv/bin/ogrmerge.py

DeanORourke1996/haco

fc04d763735ca376c51e82e1f1be20b092ce751c

[ "MIT" ]

null

#!/Users/dean/haco/HacoWeb/haco/venv/bin/python import sys # import osgeo_utils.ogrmerge as a convenience to use as a script from osgeo_utils.ogrmerge import * # noqa from osgeo_utils.ogrmerge import main from osgeo.gdal import deprecation_warn deprecation_warn('ogrmerge') sys.exit(main(sys.argv))

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py

Python

examples/academic/bakery/run.py

gijskant/mcrl2-pmc

9ea75755081b20623bc8fc7db27124d084e781fe

[ "BSL-1.0" ]

null

examples/academic/bakery/run.py

gijskant/mcrl2-pmc

9ea75755081b20623bc8fc7db27124d084e781fe

[ "BSL-1.0" ]

null

examples/academic/bakery/run.py

gijskant/mcrl2-pmc

9ea75755081b20623bc8fc7db27124d084e781fe

[ "BSL-1.0" ]

null

import os # Not all of the below terminate! os.system('mcrl22lps -v bakery.mcrl2 bakery.lps') os.system('lps2pbes -v -f nodeadlock.mcf bakery.lps bakery.nodeadlock.pbes') os.system('pbes2bool -v -rjittyc bakery.nodeadlock.pbes') os.system('lps2pbes -v -f request_can_eventually_enter.mcf bakery.lps bakery.request_can_eventually_enter.pbes') os.system('pbes2bool -v -rjittyc bakery.request_can_eventually_enter.pbes') os.system('lps2pbes -v -f request_must_eventually_enter.mcf bakery.lps bakery.request_must_eventually_enter.pbes') os.system('pbes2bool -v -rjittyc bakery.request_must_eventually_enter.pbes') os.system('lps2pbes -v -f mutual_exclusion.mcf bakery.lps bakery.mutual_exclusion.pbes') os.system('pbes2bool -v -rjittyc bakery.mutual_exclusion.pbes') os.system('lps2pbes -v -f always_can_get_number.mcf bakery.lps bakery.always_can_get_number.pbes') os.system('pbes2bool -v -rjittyc bakery.always_can_get_number.pbes') os.system('lps2pbes -v -f get_at_least_number_circulating.mcf bakery.lps bakery.get_at_least_number_circulating.pbes') os.system('pbes2bool -v -rjittyc bakery.get_at_least_number_circulating.pbes')

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0abdf3124a372f5e65596ee1d2beb296c633002b

189

py

Python

src/waldur_digitalocean/admin.py

geant-multicloud/MCMS-mastermind

81333180f5e56a0bc88d7dad448505448e01f24e

[ "MIT" ]

26

2017-10-18T13:49:58.000Z

2021-09-19T04:44:09.000Z

src/waldur_digitalocean/admin.py

geant-multicloud/MCMS-mastermind

81333180f5e56a0bc88d7dad448505448e01f24e

[ "MIT" ]

14

2018-12-10T14:14:51.000Z

2021-06-07T10:33:39.000Z

src/waldur_digitalocean/admin.py

geant-multicloud/MCMS-mastermind

81333180f5e56a0bc88d7dad448505448e01f24e

[ "MIT" ]

32

2017-09-24T03:10:45.000Z

2021-10-16T16:41:09.000Z

from django.contrib import admin from waldur_core.structure import admin as structure_admin from .models import Droplet admin.site.register(Droplet, structure_admin.VirtualMachineAdmin)

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py

Python

CodeWars/7 Kyu/Time Converter- hours, minutes, seconds and milliseconds.py

anubhab-code/Competitive-Programming

de28cb7d44044b9e7d8bdb475da61e37c018ac35

[ "MIT" ]

null

CodeWars/7 Kyu/Time Converter- hours, minutes, seconds and milliseconds.py

anubhab-code/Competitive-Programming

de28cb7d44044b9e7d8bdb475da61e37c018ac35

[ "MIT" ]

null

CodeWars/7 Kyu/Time Converter- hours, minutes, seconds and milliseconds.py

anubhab-code/Competitive-Programming

de28cb7d44044b9e7d8bdb475da61e37c018ac35

[ "MIT" ]

null

def convert(time): return time.time().strftime('%X,%f')[:-3]

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5

0ae905509dc24cee2e021439634a9d2d1000d046

96

py

Python

venv/lib/python3.8/site-packages/rope/base/evaluate.py

Retraces/UkraineBot

3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/rope/base/evaluate.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/rope/base/evaluate.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/16/29/c0/b7278e89bda1fc5d85d00e74581a7dc8dbda44dffc8edfc94822652b66

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98

py

Python

bardeen/npjson.py

mverleg/bardeen

5e91f5bad6b3d460c9afb5a41d2020dd91a27124

[ "BSD-3-Clause" ]

null

bardeen/npjson.py

mverleg/bardeen

5e91f5bad6b3d460c9afb5a41d2020dd91a27124

[ "BSD-3-Clause" ]

null

bardeen/npjson.py

mverleg/bardeen

5e91f5bad6b3d460c9afb5a41d2020dd91a27124

[ "BSD-3-Clause" ]

null

""" This has been split into a separate package: pyjson-tricks. """ from json_tricks import *

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24,104

py

Python

tests/unit/test_combiner.py

shashank-google/professional-services-data-validator

db9c63add4a3ab40b09113ca7ed1c03b7c12e6f2

[ "Apache-2.0" ]

1

2021-12-24T10:01:31.000Z

tests/unit/test_combiner.py

shashank-google/professional-services-data-validator

db9c63add4a3ab40b09113ca7ed1c03b7c12e6f2

[ "Apache-2.0" ]

null

tests/unit/test_combiner.py

shashank-google/professional-services-data-validator

db9c63add4a3ab40b09113ca7ed1c03b7c12e6f2

[ "Apache-2.0" ]

null

# Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import datetime import ibis.backends.pandas import pandas import pandas.testing import pytest from data_validation import metadata _NAN = float("nan") EXAMPLE_RUN_METADATA = metadata.RunMetadata( validations={ "count": metadata.ValidationMetadata( source_table_name="test_source", source_table_schema="bq-public.source_dataset", source_column_name="timecol", target_table_name="test_target", target_table_schema="bq-public.target_dataset", target_column_name="timecol", validation_type="Column", aggregation_type="count", threshold=0.0, ), }, start_time=datetime.datetime(1998, 9, 4, 7, 30, 1), end_time=datetime.datetime(1998, 9, 4, 7, 31, 42), labels=[("name", "test_label")], run_id="test-run", ) @pytest.fixture def module_under_test(): from data_validation import combiner return combiner def test_generate_report_with_different_columns(module_under_test): source = pandas.DataFrame({"count": [1], "sum": [3]}) target = pandas.DataFrame({"count": [2]}) pandas_client = ibis.backends.pandas.connect( { module_under_test.DEFAULT_SOURCE: source, module_under_test.DEFAULT_TARGET: target, } ) with pytest.raises( ValueError, match="Expected source and target to have same schema" ): module_under_test.generate_report( pandas_client, # Schema validation occurs before run_metadata is needed. None, source=pandas_client.table(module_under_test.DEFAULT_SOURCE), target=pandas_client.table(module_under_test.DEFAULT_TARGET), ) def test_generate_report_with_too_many_rows(module_under_test): source = pandas.DataFrame({"count": [1, 1]}) target = pandas.DataFrame({"count": [2, 2]}) pandas_client = ibis.backends.pandas.connect( { module_under_test.DEFAULT_SOURCE: source, module_under_test.DEFAULT_TARGET: target, } ) report = module_under_test.generate_report( pandas_client, # Validation occurs before run_metadata is needed. EXAMPLE_RUN_METADATA, source=pandas_client.table(module_under_test.DEFAULT_SOURCE), target=pandas_client.table(module_under_test.DEFAULT_TARGET), ) # TODO: how do we want to handle this going forward? assert len(report) == 16 @pytest.mark.parametrize( ("source_df", "target_df", "run_metadata", "expected"), ( ( pandas.DataFrame({"count": [1]}), pandas.DataFrame({"count": [2]}), metadata.RunMetadata( validations={ "count": metadata.ValidationMetadata( source_table_name="test_source", source_table_schema="bq-public.source_dataset", source_column_name=None, target_table_name="test_target", target_table_schema="bq-public.target_dataset", target_column_name=None, validation_type="Column", aggregation_type="count", threshold=0.0, ), }, start_time=datetime.datetime(1998, 9, 4, 7, 30, 1), end_time=datetime.datetime(1998, 9, 4, 7, 31, 42), labels=[("name", "test_label")], run_id="test-run", ), pandas.DataFrame( { "run_id": ["test-run"], "start_time": [datetime.datetime(1998, 9, 4, 7, 30, 1)], "end_time": [datetime.datetime(1998, 9, 4, 7, 31, 42)], "source_table_name": ["bq-public.source_dataset.test_source"], "source_column_name": [None], "target_table_name": ["bq-public.target_dataset.test_target"], "target_column_name": [None], "validation_type": ["Column"], "aggregation_type": ["count"], "validation_name": ["count"], "source_agg_value": ["1"], "target_agg_value": ["2"], "group_by_columns": [None], "difference": [1.0], "pct_difference": [100.0], "pct_threshold": [0.0], "status": ["fail"], "labels": [[("name", "test_label")]], } ), ), ( pandas.DataFrame( {"timecol__max": [pandas.Timestamp("2020-07-01T16:00:00Z")]} ), pandas.DataFrame( {"timecol__max": [pandas.Timestamp("2020-07-01T16:00:00Z")]} ), metadata.RunMetadata( validations={ "timecol__max": metadata.ValidationMetadata( source_table_name="test_source", source_table_schema="bq-public.source_dataset", source_column_name="timecol", target_table_name="test_target", target_table_schema="bq-public.target_dataset", target_column_name="timecol", validation_type="Column", aggregation_type="max", threshold=0.0, ), }, start_time=datetime.datetime(1998, 9, 4, 7, 30, 1), end_time=datetime.datetime(1998, 9, 4, 7, 31, 42), labels=[("name", "test_label")], run_id="test-run", ), pandas.DataFrame( { "run_id": ["test-run"], "start_time": [datetime.datetime(1998, 9, 4, 7, 30, 1)], "end_time": [datetime.datetime(1998, 9, 4, 7, 31, 42)], "source_table_name": ["bq-public.source_dataset.test_source"], "source_column_name": ["timecol"], "target_table_name": ["bq-public.target_dataset.test_target"], "target_column_name": ["timecol"], "validation_type": ["Column"], "aggregation_type": ["max"], "validation_name": ["timecol__max"], "source_agg_value": ["2020-07-01 16:00:00+00:00"], "target_agg_value": ["2020-07-01 16:00:00+00:00"], "group_by_columns": [None], "difference": [0.0], "pct_difference": [0.0], "pct_threshold": [0.0], "status": ["success"], "labels": [[("name", "test_label")]], } ), ), ( pandas.DataFrame( { "timecol__max": [ pandas.Timestamp(1600000000, unit="s", tz=datetime.timezone.utc) ] } ), pandas.DataFrame( { "timecol__max": [ pandas.Timestamp(2000000000, unit="s", tz=datetime.timezone.utc) ] } ), metadata.RunMetadata( validations={ "timecol__max": metadata.ValidationMetadata( source_column_name="timecol", source_table_name="test_source", source_table_schema="bq-public.source_dataset", target_column_name="timecol", target_table_name="test_target", target_table_schema="bq-public.target_dataset", validation_type="Column", aggregation_type="max", threshold=0.0, ), }, start_time=datetime.datetime(1998, 9, 4, 7, 30, 1), end_time=datetime.datetime(1998, 9, 4, 7, 31, 42), labels=[("name", "test_label")], run_id="test-run", ), pandas.DataFrame( { "run_id": ["test-run"], "start_time": [datetime.datetime(1998, 9, 4, 7, 30, 1)], "end_time": [datetime.datetime(1998, 9, 4, 7, 31, 42)], "source_table_name": ["bq-public.source_dataset.test_source"], "source_column_name": ["timecol"], "target_table_name": ["bq-public.target_dataset.test_target"], "target_column_name": ["timecol"], "validation_type": ["Column"], "aggregation_type": ["max"], "validation_name": ["timecol__max"], "source_agg_value": ["2020-09-13 12:26:40+00:00"], "target_agg_value": ["2033-05-18 03:33:20+00:00"], "group_by_columns": [None], "difference": [400000000.0], "pct_difference": [25.0], "pct_threshold": [0.0], "status": ["fail"], "labels": [[("name", "test_label")]], } ), ), ( pandas.DataFrame({"count": [8], "sum__ttteeesssttt": [-1]}), pandas.DataFrame({"count": [9], "sum__ttteeesssttt": [1]}), metadata.RunMetadata( validations={ "count": metadata.ValidationMetadata( source_table_name="test_source", source_table_schema="bq-public.source_dataset", source_column_name=None, target_table_name="test_target", target_table_schema="bq-public.target_dataset", target_column_name=None, validation_type="Column", aggregation_type="count", threshold=30.0, ), "sum__ttteeesssttt": metadata.ValidationMetadata( source_table_name="test_source", source_table_schema="bq-public.source_dataset", source_column_name="test_col", target_table_name="test_target", target_table_schema="bq-public.target_dataset", target_column_name="ttteeesssttt_col", validation_type="Column", aggregation_type="sum", threshold=0.0, ), }, start_time=datetime.datetime(1998, 9, 4, 7, 30, 1), end_time=datetime.datetime(1998, 9, 4, 7, 31, 42), labels=[("name", "test_label")], run_id="test-run", ), pandas.DataFrame( { "run_id": ["test-run"] * 2, "start_time": [datetime.datetime(1998, 9, 4, 7, 30, 1)] * 2, "end_time": [datetime.datetime(1998, 9, 4, 7, 31, 42)] * 2, "source_table_name": [ "bq-public.source_dataset.test_source", "bq-public.source_dataset.test_source", ], "source_column_name": [None, "test_col"], "target_table_name": [ "bq-public.target_dataset.test_target", "bq-public.target_dataset.test_target", ], "target_column_name": [None, "ttteeesssttt_col"], "validation_type": ["Column", "Column"], "aggregation_type": ["count", "sum"], "validation_name": ["count", "sum__ttteeesssttt"], "source_agg_value": ["8", "-1"], "target_agg_value": ["9", "1"], "group_by_columns": [None, None], "difference": [1.0, 2.0], "pct_difference": [12.5, -200.0], "pct_threshold": [30.0, 0.0], "status": ["success", "fail"], "labels": [[("name", "test_label")]] * 2, } ), ), ), ) def test_generate_report_without_group_by( module_under_test, source_df, target_df, run_metadata, expected ): pandas_client = ibis.backends.pandas.connect( {"test_source": source_df, "test_target": target_df} ) report = module_under_test.generate_report( pandas_client, run_metadata, source=pandas_client.table("test_source"), target=pandas_client.table("test_target"), ) # Sort columns by name to order in the comparison. # https://stackoverflow.com/a/11067072/101923 # Sort rows by name to order in the comparison. report = ( report.sort_values("validation_name") .reset_index(drop=True) .reindex(sorted(report.columns), axis=1) ) expected = ( expected.sort_values("validation_name") .reset_index(drop=True) .reindex(sorted(expected.columns), axis=1) ) pandas.testing.assert_frame_equal(report, expected) @pytest.mark.parametrize( ("source_df", "target_df", "join_on_fields", "run_metadata", "expected"), ( ( pandas.DataFrame( { "count": [2, 4, 8, 16], "grp_a": ["a", "a", "b", "b"], "grp_i": [0, 1, 0, 1], } ), pandas.DataFrame( { "count": [1, 3, 7, 17], "grp_a": ["a", "a", "b", "b"], "grp_i": [0, 1, 0, 1], } ), ("grp_a", "grp_i"), metadata.RunMetadata( validations={ "count": metadata.ValidationMetadata( source_table_name="test_source", source_table_schema="bq-public.source_dataset", source_column_name=None, target_table_name="test_target", target_table_schema="bq-public.target_dataset", target_column_name=None, validation_type="GroupedColumn", aggregation_type="count", threshold=7.0, ), }, start_time=datetime.datetime(1998, 9, 4, 7, 30, 1), end_time=datetime.datetime(1998, 9, 4, 7, 31, 42), labels=[("name", "group_label")], run_id="grouped-test", ), pandas.DataFrame( { "run_id": ["grouped-test"] * 4, "start_time": [datetime.datetime(1998, 9, 4, 7, 30, 1)] * 4, "end_time": [datetime.datetime(1998, 9, 4, 7, 31, 42)] * 4, "source_table_name": ["bq-public.source_dataset.test_source"] * 4, "source_column_name": [None] * 4, "target_table_name": ["bq-public.target_dataset.test_target"] * 4, "target_column_name": [None] * 4, "validation_type": ["GroupedColumn"] * 4, "aggregation_type": ["count"] * 4, "validation_name": ["count"] * 4, "source_agg_value": ["2", "4", "8", "16"], "target_agg_value": ["1", "3", "7", "17"], "group_by_columns": [ '{"grp_a": "a", "grp_i": "0"}', '{"grp_a": "a", "grp_i": "1"}', '{"grp_a": "b", "grp_i": "0"}', '{"grp_a": "b", "grp_i": "1"}', ], "difference": [-1.0, -1.0, -1.0, 1.0], "pct_difference": [-50.0, -25.0, -12.5, 6.25], "pct_threshold": [7.0, 7.0, 7.0, 7.0], "status": ["fail", "fail", "fail", "success"], "labels": [[("name", "group_label")]] * 4, } ), ), ( pandas.DataFrame({"count": [1, 2], "grp": ['"', "\\"]}), pandas.DataFrame({"count": [3, 4], "grp": ['"', "\\"]}), ("grp",), metadata.RunMetadata( validations={ "count": metadata.ValidationMetadata( source_table_name="test_source", source_table_schema="bq-public.source_dataset", source_column_name=None, target_table_name="test_target", target_table_schema="bq-public.target_dataset", target_column_name=None, validation_type="GroupedColumn", aggregation_type="count", threshold=100.0, ), }, start_time=datetime.datetime(1998, 9, 4, 7, 30, 1), end_time=datetime.datetime(1998, 9, 4, 7, 31, 42), labels=[("name", "group_label")], run_id="grouped-test", ), pandas.DataFrame( { "run_id": ["grouped-test"] * 2, "start_time": [datetime.datetime(1998, 9, 4, 7, 30, 1)] * 2, "end_time": [datetime.datetime(1998, 9, 4, 7, 31, 42)] * 2, "source_table_name": ["bq-public.source_dataset.test_source"] * 2, "source_column_name": [None] * 2, "target_table_name": ["bq-public.target_dataset.test_target"] * 2, "target_column_name": [None] * 2, "validation_type": ["GroupedColumn"] * 2, "aggregation_type": ["count"] * 2, "validation_name": ["count"] * 2, "source_agg_value": ["1", "2"], "target_agg_value": ["3", "4"], "group_by_columns": ['{"grp": "\\""}', '{"grp": "\\\\"}'], "difference": [2.0, 2.0], "pct_difference": [200.0, 100.0], "pct_threshold": [100.0, 100.0], "status": ["fail", "success"], "labels": [[("name", "group_label")]] * 2, } ), ), ( pandas.DataFrame( { "count": [2, 4, 6, 8], "grp_a": ["a", "a", "c", "c"], "grp_i": [0, 1, 0, 1], } ), pandas.DataFrame( { "count": [1, 3, 5, 7], "grp_a": ["a", "a", "b", "b"], "grp_i": [0, 1, 0, 1], } ), ("grp_a", "grp_i"), metadata.RunMetadata( validations={ "count": metadata.ValidationMetadata( source_table_name="test_source", source_table_schema="bq-public.source_dataset", source_column_name=None, target_table_name="test_target", target_table_schema="bq-public.target_dataset", target_column_name=None, validation_type="GroupedColumn", aggregation_type="count", threshold=25.0, ), }, start_time=datetime.datetime(1998, 9, 4, 7, 30, 1), end_time=datetime.datetime(1998, 9, 4, 7, 31, 42), labels=[("name", "group_label")], run_id="grouped-test", ), pandas.DataFrame( { "run_id": ["grouped-test"] * 6, "start_time": [datetime.datetime(1998, 9, 4, 7, 30, 1)] * 6, "end_time": [datetime.datetime(1998, 9, 4, 7, 31, 42)] * 6, "source_table_name": [ "bq-public.source_dataset.test_source", "bq-public.source_dataset.test_source", _NAN, _NAN, "bq-public.source_dataset.test_source", "bq-public.source_dataset.test_source", ], "source_column_name": [None] * 6, "target_table_name": [ "bq-public.target_dataset.test_target", "bq-public.target_dataset.test_target", "bq-public.target_dataset.test_target", "bq-public.target_dataset.test_target", _NAN, _NAN, ], "target_column_name": [None] * 6, "validation_type": ["GroupedColumn"] * 6, "aggregation_type": ["count"] * 6, "validation_name": ["count"] * 6, "source_agg_value": ["2", "4", _NAN, _NAN, "6", "8"], "target_agg_value": ["1", "3", "5", "7", _NAN, _NAN], "group_by_columns": [ '{"grp_a": "a", "grp_i": "0"}', '{"grp_a": "a", "grp_i": "1"}', '{"grp_a": "b", "grp_i": "0"}', '{"grp_a": "b", "grp_i": "1"}', '{"grp_a": "c", "grp_i": "0"}', '{"grp_a": "c", "grp_i": "1"}', ], "difference": [-1.0, -1.0, _NAN, _NAN, _NAN, _NAN], "pct_difference": [-50.0, -25.0, _NAN, _NAN, _NAN, _NAN], "pct_threshold": [25.0, 25.0, _NAN, _NAN, _NAN, _NAN], "status": ["fail", "success", _NAN, _NAN, _NAN, _NAN], "labels": [[("name", "group_label")]] * 6, } ), ), ), ) def test_generate_report_with_group_by( module_under_test, source_df, target_df, join_on_fields, run_metadata, expected ): pandas_client = ibis.backends.pandas.connect( {"test_source": source_df, "test_target": target_df} ) report = module_under_test.generate_report( pandas_client, run_metadata, join_on_fields=join_on_fields, source=pandas_client.table("test_source"), target=pandas_client.table("test_target"), ) # Sort columns by name to order in the comparison. # https://stackoverflow.com/a/11067072/101923 # Sort rows by name to order in the comparison. report = ( report.sort_values("validation_name") .sort_values("group_by_columns") .reset_index(drop=True) .reindex(sorted(report.columns), axis=1) ) expected = ( expected.sort_values("validation_name") .sort_values("group_by_columns") .reset_index(drop=True) .reindex(sorted(expected.columns), axis=1) ) pandas.testing.assert_frame_equal(report, expected)

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7c8c1f582bd42c8babc1b0a6d621a87e41f546f0

198

py

Python

data_hub_call/requestInfoList.py

AnnAnnFryingPan/data_hub_call

907a481bb2adfff86d311bdf5a4fa352fd7e90be

[ "MIT" ]

null

data_hub_call/requestInfoList.py

AnnAnnFryingPan/data_hub_call

907a481bb2adfff86d311bdf5a4fa352fd7e90be

[ "MIT" ]

null

data_hub_call/requestInfoList.py

AnnAnnFryingPan/data_hub_call

907a481bb2adfff86d311bdf5a4fa352fd7e90be

[ "MIT" ]

null

class RequestInfoList(object): """A data stream from any platform/hub: """ def __init__(self): self.requests = [] def __len__(self): return len(self.requests)

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7cb297f0bb1a1d529f316b10c30f72c94508768b

2,880

py

Python

tests/features/steps/bot.py

fbenkstein/gerritbot-rs

eaf0d1ec81c4998c40469026b218e5018507f63a

[ "Apache-2.0" ]

15

2017-05-17T18:19:00.000Z

2021-04-30T15:09:59.000Z

tests/features/steps/bot.py

fbenkstein/gerritbot-rs

eaf0d1ec81c4998c40469026b218e5018507f63a

[ "Apache-2.0" ]

48

2017-05-18T00:36:25.000Z

2021-02-23T08:31:40.000Z

tests/features/steps/bot.py

fbenkstein/gerritbot-rs

eaf0d1ec81c4998c40469026b218e5018507f63a

[ "Apache-2.0" ]

9

2017-06-14T13:43:13.000Z

2021-02-19T10:11:57.000Z

import itertools from hamcrest import * @when("we check for messages by the bot") def step_impl(context): context.bot.get_messages() @then("there are no messages") def step_impl(context): assert_that(context.bot.current_messages, empty()) @then('there is a message for {person} which includes the text "{text}"') def step_impl(context, person, text): context.execute_steps( f''' then there is a message for {person} which includes the following text: """ {text} """ ''' ) @then("there is a message for {person} which includes the following text") def step_impl(context, person): text = context.text person = context.accounts.get_person(person) messages_for_person = context.bot.get_messages_for_person(person) item_matcher = has_entry("text", contains_string(text)) assert_that(messages_for_person, has_item(item_matcher)) context.last_matched_message = next( (m for m in messages_for_person if item_matcher.matches(m)) ) @then("there is a message for {person} with the following text") def step_impl(context, person): text = context.text.format(context=context) person = context.accounts.get_person(person) messages_for_person = context.bot.get_messages_for_person(person) item_matcher = has_entry("text", equal_to(text)) assert_that(messages_for_person, has_item(item_matcher)) context.last_matched_message = next( (m for m in messages_for_person if item_matcher.matches(m)) ) @then('there is no message for {person} which includes the text "{text}"') def step_impl(context, person, text): context.execute_steps( f''' then there is no message for {person} which includes the following text: """ {text} """ ''' ) @then("there is no message for {person} which includes the following text") def step_impl(context, person): text = context.text person = context.accounts.get_person(person) messages_for_person = context.bot.get_messages_for_person(person) item_matcher = has_entry("text", contains_string(text)) assert_that(messages_for_person, is_not(has_item(item_matcher))) @then('this message includes the text "{text}"') def step_impl(context, text): assert_that(context.last_matched_message, has_entry("text", contains_string(text))) @then('this message does not include the text "{text}"') def step_impl(context, text): assert_that( context.last_matched_message, has_entry("text", is_not(contains_string(text))) ) @step("{sender} sends the {command} command to the bot") def step_impl(context, sender, command): if sender == "everybody": for person in context.accounts.all_persons(): context.bot.send_message(person, command) else: sender = context.accounts.get_person(sender) context.bot.send_message(sender, command)

30.967742

87

0.710069

400

2,880

4.905

0.165

0.087156

0.095311

0.091743

0.751784

0.718145

0.70948

0.705403

0

0.178125

2,880

92

88

31.304348

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0

0.521127

0

0.259375

0

0.084507

1

0.140845

false

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0.028169

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0.169014

0

null

0

1

0

null

0

5

7cbd84fa1dc7a116d2a631e93ab37a6c64914fa3

121

py

Python

posix_checkapi/TRACES/POT/ut_shims_testchunklib_smallchunk_bigmsg.py

JustinCappos/checkapi

2508c414869eda3479e1384b1bea65ec1e749d3b

[ "Apache-2.0" ]

null

posix_checkapi/TRACES/POT/ut_shims_testchunklib_smallchunk_bigmsg.py

JustinCappos/checkapi

2508c414869eda3479e1384b1bea65ec1e749d3b

[ "Apache-2.0" ]

null

posix_checkapi/TRACES/POT/ut_shims_testchunklib_smallchunk_bigmsg.py

JustinCappos/checkapi

2508c414869eda3479e1384b1bea65ec1e749d3b

[ "Apache-2.0" ]

null

#pragma out import dylink_portability dylink_portability.run_unrestricted_repy_code("testchunklib_smallchunk_bigmsg.py")

30.25

82

0.900826

15

121

6.8

0.866667

0.333333

0

0.041322

121

3

83

40.333333

0.87931

0.082645

0

0.3

0

1

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true

0

0.5

0

0.5

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null

1

0

1

0

null

0

1

0

1

0

5

7cf12b8c330d26c0881aacaddb0cce3f166ff92d

150

py

Python

main.py

NILL2021/floatey

adcd744e44cb3462f666f385a0fcfc977ddbf6f0

[ "MIT" ]

4

2021-07-12T13:31:12.000Z

2021-07-27T08:27:31.000Z

main.py

NILL2021/floatey

adcd744e44cb3462f666f385a0fcfc977ddbf6f0

[ "MIT" ]

null

main.py

NILL2021/floatey

adcd744e44cb3462f666f385a0fcfc977ddbf6f0

[ "MIT" ]

null

from __future__ import division def im_too_lazy_to_do_this_rn() print("Errrrrrrrrrrrrrrrrrrrrrrrrrrrrrr im too lazy") im_too_lazy_to_do_this_rn()

21.428571

55

0.846667

24

150

4.625

0.583333

0.135135

0.243243

0.198198

0.342342

0

0.1

150

6

56

25

0.822222

0

0.293333

0.213333

0

null

0

0.25

null

0.25

1

0

null

0

1

0

1

0

null

0

1

0

5

6b207b6e1c6efaee984544d2c164361feaa58d4b

51

py

Python

eutl_scraper/__init__.py

jabrell/eutl_scraper

ba1a9717ce3ea506bed8869af195b30b139a9980

[ "MIT" ]

null

eutl_scraper/__init__.py

jabrell/eutl_scraper

ba1a9717ce3ea506bed8869af195b30b139a9980

[ "MIT" ]

2

2022-02-11T19:01:25.000Z

2022-02-17T13:03:00.000Z

eutl_scraper/__init__.py

jabrell/eutl_scraper

ba1a9717ce3ea506bed8869af195b30b139a9980

[ "MIT" ]

1

2021-12-05T19:06:38.000Z

from .transactions import * from .mappings import *

25.5

27

0.784314

6

51

6.666667

0.666667

0

0.137255

51

2

28

25.5

0.909091

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

6b41bffb5fd0303c283514e124b1bc27f34067bd

140

py

Python

metabench/common/constraint/constraint.py

ComeBertrand/metabench

e5eaa32b94239b8fa475eda940b8086eec178cfe

[ "MIT" ]

null

metabench/common/constraint/constraint.py

ComeBertrand/metabench

e5eaa32b94239b8fa475eda940b8086eec178cfe

[ "MIT" ]

15

2018-03-07T21:47:56.000Z

2018-05-12T08:45:20.000Z

metabench/common/constraint/constraint.py

ComeBertrand/metabench

e5eaa32b94239b8fa475eda940b8086eec178cfe

[ "MIT" ]

null

""" File: constraint.py Author: Come Bertrand Email: bertrand.cosme@gmail.com Github: https://github.com/ComeBertrand Description: TODO """

17.5

39

0.764286

18

140

5.944444

0.833333

0

0.092857

140

7

40

20

0.84252

0.935714

0

null

0

null

0

null

0

0.142857

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

860ac4ae7c9b45f242d442d089cf5817198b03ed

2,298

py

Python

src/HartreeParticleDSL/backends/Cabana_backend/Cabana_IO_Mixin.py

stfc/HartreeParticleDSL

17990f1a85c9cbec3c4dfa0923e2c44cad6f381c

[ "MIT" ]

null

src/HartreeParticleDSL/backends/Cabana_backend/Cabana_IO_Mixin.py

stfc/HartreeParticleDSL

17990f1a85c9cbec3c4dfa0923e2c44cad6f381c

[ "MIT" ]

47

2021-09-16T10:28:05.000Z

2022-03-15T14:24:33.000Z

src/HartreeParticleDSL/backends/Cabana_backend/Cabana_IO_Mixin.py

stfc/HartreeParticleDSL

17990f1a85c9cbec3c4dfa0923e2c44cad6f381c

[ "MIT" ]

1

2021-09-27T15:20:01.000Z

from abc import ABCMeta, abstractmethod class Cabana_IO_Mixin(metaclass=ABCMeta): def gen_code_cabana(self, part_type): ''' Generates and returns the Cabana code required for this IO module. :raises NotImplementedError: Abstract method that must be overriden by children :returns: The code Cabana code required for this IO module. :rtype: str ''' raise NotImplementedError(f"{self.__class__.__name__} does not " "implement required function " "gen_code_cabana") def call_input_cabana(self, part_count, filename, current_indent=4): ''' Returns the call required to use this IO module for input. :raises NotImplementedError: Abstract method that must be overriden by children :returns: The code required to use this IO module for input. :rtype: str ''' raise NotImplementedError(f"{self.__class__.__name__} does not " "implement required function " "call_input_cabana") def call_output_cabana(self, part_count, filename): ''' Returns the call required to use this IO module for output. :raises NotImplementedError: Abstract method that must be overriden by children :returns: The code required to use this IO module for output. :rtype: str ''' raise NotImplementedError(f"{self.__class__.__name__} does not " "implement required function " "call_output_cabana") def get_includes_cabana(self): ''' Returns the includes required to use this IO module for Cabana. :raises NotImplementedError: Abstract method that must be overriden by children :returns: The includes for this IO module. :rtype: List of str ''' raise NotImplementedError(f"{self.__class__.__name__} does not " "implement required function " "get_includes_cabana")

38.3

74

0.563534

231

2,298

5.372294

0.246753

0.064464

0.077357

0.068493

0.780822

0.721193

0.645447

0.62772

0

0.000703

0.380766

2,298

59

75

38.949153

0.871398

0.424282

0

0.444444

1

0

0.291289

0.090744

0

1

0.222222

false

0

0.055556

0

0.333333

0

null

0

1

0

1

0

1

0

null

0

1

0

5

8625b1172e8d85c54132a3809a9b422e5dc5637f

119

py

Python

src/code_beatrix/algorithm/__init__.py

sdpython/code_beatrix

421101fb7460b3c23a5955e73395e6793d94e21a

[ "MIT" ]

1

2017-12-01T12:43:53.000Z

src/code_beatrix/algorithm/__init__.py

sdpython/code_beatrix

421101fb7460b3c23a5955e73395e6793d94e21a

[ "MIT" ]

8

2018-01-07T14:41:25.000Z

2020-02-01T18:29:51.000Z

src/code_beatrix/algorithm/__init__.py

sdpython/code_beatrix

421101fb7460b3c23a5955e73395e6793d94e21a

[ "MIT" ]

1

2019-10-27T20:40:04.000Z

""" @file @brief shortcuts to algorithm """ from .tsp import voyageur_commerce_simple, distance_circuit, plot_circuit

17

73

0.789916

15

119

6

0.933333

0

0.117647

119

6

74

19.833333

0.857143

0.294118

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

8678fcc920f0b008783982339a27a09c2714b598

2,775

py

Python

src/leetcode_378_kth_smallest_element_in_a_sorted_matrix.py

sungho-joo/leetcode2github

ce7730ef40f6051df23681dd3c0e1e657abba620

[ "MIT" ]

null

src/leetcode_378_kth_smallest_element_in_a_sorted_matrix.py

sungho-joo/leetcode2github

ce7730ef40f6051df23681dd3c0e1e657abba620

[ "MIT" ]

null

src/leetcode_378_kth_smallest_element_in_a_sorted_matrix.py

sungho-joo/leetcode2github

ce7730ef40f6051df23681dd3c0e1e657abba620

[ "MIT" ]

null

# @l2g 378 python3 # [378] Kth Smallest Element in a Sorted Matrix # Difficulty: Medium # https://leetcode.com/problems/kth-smallest-element-in-a-sorted-matrix # # Given an n x n matrix where each of the rows and columns are sorted in ascending order, # return the kth smallest element in the matrix. # Note that it is the kth smallest element in the sorted order, not the kth distinct element. # # Example 1: # # Input: matrix = [[1,5,9],[10,11,13],[12,13,15]], k = 8 # Output: 13 # Explanation: The elements in the matrix are [1,5,9,10,11,12,13,13,15], # and the 8th smallest number is 13 # # Example 2: # # Input: matrix = [[-5]], k = 1 # Output: -5 # # # Constraints: # # n == matrix.length # n == matrix[i].length # 1 <= n <= 300 # -10^9 <= matrix[i][j] <= 10^9 # All the rows and columns of matrix are guaranteed to be sorted in non-decreasing order. # 1 <= k <= n^2 # # # @l2g 378 python3 # [378] Kth Smallest Element in a Sorted Matrix # Difficulty: Medium # https://leetcode.com/problems/kth-smallest-element-in-a-sorted-matrix # # Given an n x n matrix where each of the rows and columns are sorted in ascending order, # return the kth smallest element in the matrix. # Note that it is the kth smallest element in the sorted order, not the kth distinct element. # # Example 1: # # Input: matrix = [[1,5,9],[10,11,13],[12,13,15]], k = 8 # Output: 13 # Explanation: The elements in the matrix are [1,5,9,10,11,12,13,13,15], # and the 8th smallest number is 13 # # Example 2: # # Input: matrix = [[-5]], k = 1 # Output: -5 # # # Constraints: # # n == matrix.length # n == matrix[i].length # 1 <= n <= 300 # -10^9 <= matrix[i][j] <= 10^9 # All the rows and columns of matrix are guaranteed to be sorted in non-decreasing order. # 1 <= k <= n^2 # # import heapq from typing import List class Solution: def kthSmallest(self, matrix: List[List[int]], k: int) -> int: min_heap = [(row[0], 0, i) for i, row in enumerate(matrix)] heapq.heapify(min_heap) for _ in range(k): elem, col, row = heapq.heappop(min_heap) if col + 1 < len(matrix): heapq.heappush(min_heap, (matrix[row][col + 1], col + 1, row)) return elem # low, high = matrix[0][0], matrix[-1][-1] # while low < high: # mid = low + (high - low)//2 # if sum([bisect.bisect(row,mid) for row in matrix]) >= k: # high = mid # else: # low = mid + 1 # return low # n = len(matrix) # flat = [] # for i in range(n): # flat.extend(matrix[i]) # flat.sort() # return flat[k-1] if __name__ == "__main__": import os import pytest pytest.main([os.path.join("tests", "test_378.py")])

25.694444

93

0.602523

441

2,775

3.759637

0.249433

0.053076

0.086852

0.096502

0.705669

0

0.065929

0.251171

2,775

107

94

25.934579

0.731954

0.699099

0

0.031746

0

1

0.066667

false

0

0.266667

0

0.466667

0

null

0

1

0

null

0

5

8689430bb8408f81fce5899669290d85a61b8874

73,246

py

Python

thermo/critical.py

tedhyu/thermo

1966c7cba5a603984b49f22c97ff00a144d90812

[ "MIT" ]

1

2021-03-05T23:39:47.000Z

thermo/critical.py

tedhyu/thermo

1966c7cba5a603984b49f22c97ff00a144d90812

[ "MIT" ]

1

2021-12-17T21:28:17.000Z

thermo/critical.py

tedhyu/thermo

1966c7cba5a603984b49f22c97ff00a144d90812

[ "MIT" ]

1

2022-01-18T16:14:59.000Z

# -*- coding: utf-8 -*- '''Chemical Engineering Design Library (ChEDL). Utilities for process modeling. Copyright (C) 2016, Caleb Bell <Caleb.Andrew.Bell@gmail.com> Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.''' from __future__ import division __all__ = ['Tc', 'Pc', 'Vc', 'Zc', 'Mersmann_Kind_predictor', 'third_property', 'critical_surface', 'Ihmels', 'Meissner', 'Grigoras', 'Li', 'Chueh_Prausnitz_Tc', 'Grieves_Thodos', 'modified_Wilson_Tc', 'Tc_mixture', 'Pc_mixture', 'Chueh_Prausnitz_Vc', 'modified_Wilson_Vc', 'Vc_mixture'] __all__.extend(['Tc_methods', 'Pc_methods', 'Vc_methods', 'Zc_methods', 'critical_surface_methods', '_crit_IUPAC', '_crit_Matthews', '_crit_CRC', '_crit_PSRKR4', '_crit_PassutDanner', '_crit_Yaws']) import os import numpy as np import pandas as pd from thermo.utils import R, N_A from thermo.utils import log from thermo.utils import mixing_simple, none_and_length_check folder = os.path.join(os.path.dirname(__file__), 'Critical Properties') ### Read the various data files # IUPAC Organic data series # TODO: 12E of this data http://pubsdc3.acs.org/doi/10.1021/acs.jced.5b00571 _crit_IUPAC = pd.read_csv(os.path.join(folder, 'IUPACOrganicCriticalProps.tsv'), sep='\t', index_col=0) _crit_Matthews = pd.read_csv(os.path.join(folder, 'Mathews1972InorganicCriticalProps.tsv'), sep='\t', index_col=0) # CRC Handbook from TRC Organic data section (only in 2015) # No Inorganic table was taken, although it is already present; # data almost all from IUPAC _crit_CRC = pd.read_csv(os.path.join(folder, 'CRCCriticalOrganics.tsv'), sep='\t', index_col=0) _crit_CRC['Zc'] = pd.Series(_crit_CRC['Pc']*_crit_CRC['Vc']/_crit_CRC['Tc']/R, index=_crit_CRC.index) _crit_PSRKR4 = pd.read_csv(os.path.join(folder, 'Appendix to PSRK Revision 4.tsv'), sep='\t', index_col=0) _crit_PSRKR4['Zc'] = pd.Series(_crit_PSRKR4['Pc']*_crit_PSRKR4['Vc']/_crit_PSRKR4['Tc']/R, index=_crit_PSRKR4.index) _crit_PassutDanner = pd.read_csv(os.path.join(folder, 'PassutDanner1973.tsv'), sep='\t', index_col=0) _crit_Yaws = pd.read_csv(os.path.join(folder, 'Yaws Collection.tsv'), sep='\t', index_col=0) _crit_Yaws['Zc'] = pd.Series(_crit_Yaws['Pc']*_crit_Yaws['Vc']/_crit_Yaws['Tc']/R, index=_crit_Yaws.index) ### Strings defining each method IUPAC = 'IUPAC' MATTHEWS = 'MATTHEWS' CRC = 'CRC' PSRK = 'PSRK' PD = 'PD' YAWS = 'YAWS' SURF = 'SURF' NONE = 'NONE' Tc_methods = [IUPAC, MATTHEWS, CRC, PSRK, PD, YAWS, SURF] def Tc(CASRN, AvailableMethods=False, Method=None, IgnoreMethods=[SURF]): r'''This function handles the retrieval of a chemical's critical temperature. Lookup is based on CASRNs. Will automatically select a data source to use if no Method is provided; returns None if the data is not available. Prefered sources are 'IUPAC' for organic chemicals, and 'MATTHEWS' for inorganic chemicals. Function has data for approximately 1000 chemicals. Parameters ---------- CASRN : string CASRN [-] Returns ------- Tc : float Critical temperature, [K] methods : list, only returned if AvailableMethods == True List of methods which can be used to obtain Tc with the given inputs Other Parameters ---------------- Method : string, optional The method name to use. Accepted methods are 'IUPAC', 'MATTHEWS', 'CRC', 'PSRK', 'PD', 'YAWS', and 'SURF'. All valid values are also held in the list `Tc_methods`. AvailableMethods : bool, optional If True, function will determine which methods can be used to obtain Tc for the desired chemical, and will return methods instead of Tc IgnoreMethods : list, optional A list of methods to ignore in obtaining the full list of methods, useful for for performance reasons and ignoring inaccurate methods Notes ----- A total of seven sources are available for this function. They are: * 'IUPAC Organic Critical Properties', a series of critically evaluated experimental datum for organic compounds in [1]_, [2]_, [3]_, [4]_, [5]_, [6]_, [7]_, [8]_, [9]_, [10]_, [11]_, and [12]_. * 'Matthews Inorganic Critical Properties', a series of critically evaluated data for inorganic compounds in [13]_. * 'CRC Organic Critical Properties', a compillation of critically evaluated data by the TRC as published in [14]_. * 'PSRK Revision 4 Appendix', a compillation of experimental and estimated data published in [15]_. * 'Passut Danner 1973 Critical Properties', an older compillation of data published in [16]_ * 'Yaws Critical Properties', a large compillation of data from a variety of sources; no data points are sourced in the work of [17]_. * Critical Surface', an estimation method using a simple quadratic method for estimating Tc from Pc and Vc. This is ignored and not returned as a method by default, as no compounds have values of Pc and Vc but not Tc currently. Examples -------- >>> Tc(CASRN='64-17-5') 514.0 References ---------- .. [1] Ambrose, Douglas, and Colin L. Young. "Vapor-Liquid Critical Properties of Elements and Compounds. 1. An Introductory Survey." Journal of Chemical & Engineering Data 41, no. 1 (January 1, 1996): 154-154. doi:10.1021/je950378q. .. [2] Ambrose, Douglas, and Constantine Tsonopoulos. "Vapor-Liquid Critical Properties of Elements and Compounds. 2. Normal Alkanes." Journal of Chemical & Engineering Data 40, no. 3 (May 1, 1995): 531-46. doi:10.1021/je00019a001. .. [3] Tsonopoulos, Constantine, and Douglas Ambrose. "Vapor-Liquid Critical Properties of Elements and Compounds. 3. Aromatic Hydrocarbons." Journal of Chemical & Engineering Data 40, no. 3 (May 1, 1995): 547-58. doi:10.1021/je00019a002. .. [4] Gude, Michael, and Amyn S. Teja. "Vapor-Liquid Critical Properties of Elements and Compounds. 4. Aliphatic Alkanols." Journal of Chemical & Engineering Data 40, no. 5 (September 1, 1995): 1025-36. doi:10.1021/je00021a001. .. [5] Daubert, Thomas E. "Vapor-Liquid Critical Properties of Elements and Compounds. 5. Branched Alkanes and Cycloalkanes." Journal of Chemical & Engineering Data 41, no. 3 (January 1, 1996): 365-72. doi:10.1021/je9501548. .. [6] Tsonopoulos, Constantine, and Douglas Ambrose. "Vapor-Liquid Critical Properties of Elements and Compounds. 6. Unsaturated Aliphatic Hydrocarbons." Journal of Chemical & Engineering Data 41, no. 4 (January 1, 1996): 645-56. doi:10.1021/je9501999. .. [7] Kudchadker, Arvind P., Douglas Ambrose, and Constantine Tsonopoulos. "Vapor-Liquid Critical Properties of Elements and Compounds. 7. Oxygen Compounds Other Than Alkanols and Cycloalkanols." Journal of Chemical & Engineering Data 46, no. 3 (May 1, 2001): 457-79. doi:10.1021/je0001680. .. [8] Tsonopoulos, Constantine, and Douglas Ambrose. "Vapor-Liquid Critical Properties of Elements and Compounds. 8. Organic Sulfur, Silicon, and Tin Compounds (C + H + S, Si, and Sn)." Journal of Chemical & Engineering Data 46, no. 3 (May 1, 2001): 480-85. doi:10.1021/je000210r. .. [9] Marsh, Kenneth N., Colin L. Young, David W. Morton, Douglas Ambrose, and Constantine Tsonopoulos. "Vapor-Liquid Critical Properties of Elements and Compounds. 9. Organic Compounds Containing Nitrogen." Journal of Chemical & Engineering Data 51, no. 2 (March 1, 2006): 305-14. doi:10.1021/je050221q. .. [10] Marsh, Kenneth N., Alan Abramson, Douglas Ambrose, David W. Morton, Eugene Nikitin, Constantine Tsonopoulos, and Colin L. Young. "Vapor-Liquid Critical Properties of Elements and Compounds. 10. Organic Compounds Containing Halogens." Journal of Chemical & Engineering Data 52, no. 5 (September 1, 2007): 1509-38. doi:10.1021/je700336g. .. [11] Ambrose, Douglas, Constantine Tsonopoulos, and Eugene D. Nikitin. "Vapor-Liquid Critical Properties of Elements and Compounds. 11. Organic Compounds Containing B + O; Halogens + N, + O, + O + S, + S, + Si; N + O; and O + S, + Si." Journal of Chemical & Engineering Data 54, no. 3 (March 12, 2009): 669-89. doi:10.1021/je800580z. .. [12] Ambrose, Douglas, Constantine Tsonopoulos, Eugene D. Nikitin, David W. Morton, and Kenneth N. Marsh. "Vapor-Liquid Critical Properties of Elements and Compounds. 12. Review of Recent Data for Hydrocarbons and Non-Hydrocarbons." Journal of Chemical & Engineering Data, October 5, 2015, 151005081500002. doi:10.1021/acs.jced.5b00571. .. [13] Mathews, Joseph F. "Critical Constants of Inorganic Substances." Chemical Reviews 72, no. 1 (February 1, 1972): 71-100. doi:10.1021/cr60275a004. .. [14] Haynes, W.M., Thomas J. Bruno, and David R. Lide. CRC Handbook of Chemistry and Physics, 95E. Boca Raton, FL: CRC press, 2014. .. [15] Horstmann, Sven, Anna Jabłoniec, Jörg Krafczyk, Kai Fischer, and Jürgen Gmehling. "PSRK Group Contribution Equation of State: Comprehensive Revision and Extension IV, Including Critical Constants and Α-Function Parameters for 1000 Components." Fluid Phase Equilibria 227, no. 2 (January 25, 2005): 157-64. doi:10.1016/j.fluid.2004.11.002. .. [16] Passut, Charles A., and Ronald P. Danner. "Acentric Factor. A Valuable Correlating Parameter for the Properties of Hydrocarbons." Industrial & Engineering Chemistry Process Design and Development 12, no. 3 (July 1, 1973): 365–68. doi:10.1021/i260047a026. .. [17] Yaws, Carl L. Thermophysical Properties of Chemicals and Hydrocarbons, Second Edition. Amsterdam Boston: Gulf Professional Publishing, 2014. ''' def list_methods(): methods = [] if CASRN in _crit_IUPAC.index and not np.isnan(_crit_IUPAC.at[CASRN, 'Tc']): methods.append(IUPAC) if CASRN in _crit_Matthews.index and not np.isnan(_crit_Matthews.at[CASRN, 'Tc']): methods.append(MATTHEWS) if CASRN in _crit_CRC.index and not np.isnan(_crit_CRC.at[CASRN, 'Tc']): methods.append(CRC) if CASRN in _crit_PSRKR4.index and not np.isnan(_crit_PSRKR4.at[CASRN, 'Tc']): methods.append(PSRK) if CASRN in _crit_PassutDanner.index and not np.isnan(_crit_PassutDanner.at[CASRN, 'Tc']): methods.append(PD) if CASRN in _crit_Yaws.index and not np.isnan(_crit_Yaws.at[CASRN, 'Tc']): methods.append(YAWS) if CASRN: methods.append(SURF) if IgnoreMethods: for Method in IgnoreMethods: if Method in methods: methods.remove(Method) methods.append(NONE) return methods if AvailableMethods: return list_methods() if not Method: Method = list_methods()[0] if Method == IUPAC: _Tc = float(_crit_IUPAC.at[CASRN, 'Tc']) elif Method == MATTHEWS: _Tc = float(_crit_Matthews.at[CASRN, 'Tc']) elif Method == PSRK: _Tc = float(_crit_PSRKR4.at[CASRN, 'Tc']) elif Method == PD: _Tc = float(_crit_PassutDanner.at[CASRN, 'Tc']) elif Method == CRC: _Tc = float(_crit_CRC.at[CASRN, 'Tc']) elif Method == YAWS: _Tc = float(_crit_Yaws.at[CASRN, 'Tc']) elif Method == SURF: _Tc = third_property(CASRN=CASRN, T=True) elif Method == NONE: _Tc = None else: raise Exception('Failure in in function') return _Tc Pc_methods = [IUPAC, MATTHEWS, CRC, PSRK, PD, YAWS, SURF] def Pc(CASRN, AvailableMethods=False, Method=None, IgnoreMethods=[SURF]): r'''This function handles the retrieval of a chemical's critical pressure. Lookup is based on CASRNs. Will automatically select a data source to use if no Method is provided; returns None if the data is not available. Prefered sources are 'IUPAC' for organic chemicals, and 'MATTHEWS' for inorganic chemicals. Function has data for approximately 1000 chemicals. Examples -------- >>> Pc(CASRN='64-17-5') 6137000.0 Parameters ---------- CASRN : string CASRN [-] Returns ------- Pc : float Critical pressure, [Pa] methods : list, only returned if AvailableMethods == True List of methods which can be used to obtain Pc with the given inputs Other Parameters ---------------- Method : string, optional The method name to use. Accepted methods are 'IUPAC', 'MATTHEWS', 'CRC', 'PSRK', 'PD', 'YAWS', and 'SURF'. All valid values are also held in the list `Pc_methods`. AvailableMethods : bool, optional If True, function will determine which methods can be used to obtain Pc for the desired chemical, and will return methods instead of Pc IgnoreMethods : list, optional A list of methods to ignore in obtaining the full list of methods, useful for for performance reasons and ignoring inaccurate methods Notes ----- A total of seven sources are available for this function. They are: * 'IUPAC', a series of critically evaluated experimental datum for organic compounds in [1]_, [2]_, [3]_, [4]_, [5]_, [6]_, [7]_, [8]_, [9]_, [10]_, [11]_, and [12]_. * 'MATTHEWS', a series of critically evaluated data for inorganic compounds in [13]_. * 'CRC', a compillation of critically evaluated data by the TRC as published in [14]_. * 'PSRK', a compillation of experimental and estimated data published in [15]_. * 'PD', an older compillation of data published in [16]_ * 'YAWS', a large compillation of data from a variety of sources; no data points are sourced in the work of [17]_. * SURF', an estimation method using a simple quadratic method for estimating Pc from Tc and Vc. This is ignored and not returned as a method by default. References ---------- .. [1] Ambrose, Douglas, and Colin L. Young. "Vapor-Liquid Critical Properties of Elements and Compounds. 1. An Introductory Survey." Journal of Chemical & Engineering Data 41, no. 1 (January 1, 1996): 154-154. doi:10.1021/je950378q. .. [2] Ambrose, Douglas, and Constantine Tsonopoulos. "Vapor-Liquid Critical Properties of Elements and Compounds. 2. Normal Alkanes." Journal of Chemical & Engineering Data 40, no. 3 (May 1, 1995): 531-46. doi:10.1021/je00019a001. .. [3] Tsonopoulos, Constantine, and Douglas Ambrose. "Vapor-Liquid Critical Properties of Elements and Compounds. 3. Aromatic Hydrocarbons." Journal of Chemical & Engineering Data 40, no. 3 (May 1, 1995): 547-58. doi:10.1021/je00019a002. .. [4] Gude, Michael, and Amyn S. Teja. "Vapor-Liquid Critical Properties of Elements and Compounds. 4. Aliphatic Alkanols." Journal of Chemical & Engineering Data 40, no. 5 (September 1, 1995): 1025-36. doi:10.1021/je00021a001. .. [5] Daubert, Thomas E. "Vapor-Liquid Critical Properties of Elements and Compounds. 5. Branched Alkanes and Cycloalkanes." Journal of Chemical & Engineering Data 41, no. 3 (January 1, 1996): 365-72. doi:10.1021/je9501548. .. [6] Tsonopoulos, Constantine, and Douglas Ambrose. "Vapor-Liquid Critical Properties of Elements and Compounds. 6. Unsaturated Aliphatic Hydrocarbons." Journal of Chemical & Engineering Data 41, no. 4 (January 1, 1996): 645-56. doi:10.1021/je9501999. .. [7] Kudchadker, Arvind P., Douglas Ambrose, and Constantine Tsonopoulos. "Vapor-Liquid Critical Properties of Elements and Compounds. 7. Oxygen Compounds Other Than Alkanols and Cycloalkanols." Journal of Chemical & Engineering Data 46, no. 3 (May 1, 2001): 457-79. doi:10.1021/je0001680. .. [8] Tsonopoulos, Constantine, and Douglas Ambrose. "Vapor-Liquid Critical Properties of Elements and Compounds. 8. Organic Sulfur, Silicon, and Tin Compounds (C + H + S, Si, and Sn)." Journal of Chemical & Engineering Data 46, no. 3 (May 1, 2001): 480-85. doi:10.1021/je000210r. .. [9] Marsh, Kenneth N., Colin L. Young, David W. Morton, Douglas Ambrose, and Constantine Tsonopoulos. "Vapor-Liquid Critical Properties of Elements and Compounds. 9. Organic Compounds Containing Nitrogen." Journal of Chemical & Engineering Data 51, no. 2 (March 1, 2006): 305-14. doi:10.1021/je050221q. .. [10] Marsh, Kenneth N., Alan Abramson, Douglas Ambrose, David W. Morton, Eugene Nikitin, Constantine Tsonopoulos, and Colin L. Young. "Vapor-Liquid Critical Properties of Elements and Compounds. 10. Organic Compounds Containing Halogens." Journal of Chemical & Engineering Data 52, no. 5 (September 1, 2007): 1509-38. doi:10.1021/je700336g. .. [11] Ambrose, Douglas, Constantine Tsonopoulos, and Eugene D. Nikitin. "Vapor-Liquid Critical Properties of Elements and Compounds. 11. Organic Compounds Containing B + O; Halogens + N, + O, + O + S, + S, + Si; N + O; and O + S, + Si." Journal of Chemical & Engineering Data 54, no. 3 (March 12, 2009): 669-89. doi:10.1021/je800580z. .. [12] Ambrose, Douglas, Constantine Tsonopoulos, Eugene D. Nikitin, David W. Morton, and Kenneth N. Marsh. "Vapor-Liquid Critical Properties of Elements and Compounds. 12. Review of Recent Data for Hydrocarbons and Non-Hydrocarbons." Journal of Chemical & Engineering Data, October 5, 2015, 151005081500002. doi:10.1021/acs.jced.5b00571. .. [13] Mathews, Joseph F. "Critical Constants of Inorganic Substances." Chemical Reviews 72, no. 1 (February 1, 1972): 71-100. doi:10.1021/cr60275a004. .. [14] Haynes, W.M., Thomas J. Bruno, and David R. Lide. CRC Handbook of Chemistry and Physics, 95E. Boca Raton, FL: CRC press, 2014. .. [15] Horstmann, Sven, Anna Jabłoniec, Jörg Krafczyk, Kai Fischer, and Jürgen Gmehling. "PSRK Group Contribution Equation of State: Comprehensive Revision and Extension IV, Including Critical Constants and Α-Function Parameters for 1000 Components." Fluid Phase Equilibria 227, no. 2 (January 25, 2005): 157-64. doi:10.1016/j.fluid.2004.11.002. .. [16] Passut, Charles A., and Ronald P. Danner. "Acentric Factor. A Valuable Correlating Parameter for the Properties of Hydrocarbons." Industrial & Engineering Chemistry Process Design and Development 12, no. 3 (July 1, 1973): 365–68. doi:10.1021/i260047a026. .. [17] Yaws, Carl L. Thermophysical Properties of Chemicals and Hydrocarbons, Second Edition. Amsterdam Boston: Gulf Professional Publishing, 2014. ''' def list_methods(): methods = [] if CASRN in _crit_IUPAC.index and not np.isnan(_crit_IUPAC.at[CASRN, 'Pc']): methods.append(IUPAC) if CASRN in _crit_Matthews.index and not np.isnan(_crit_Matthews.at[CASRN, 'Pc']): methods.append(MATTHEWS) if CASRN in _crit_CRC.index and not np.isnan(_crit_CRC.at[CASRN, 'Pc']): methods.append(CRC) if CASRN in _crit_PSRKR4.index and not np.isnan(_crit_PSRKR4.at[CASRN, 'Pc']): methods.append(PSRK) if CASRN in _crit_PassutDanner.index and not np.isnan(_crit_PassutDanner.at[CASRN, 'Pc']): methods.append(PD) if CASRN in _crit_Yaws.index and not np.isnan(_crit_Yaws.at[CASRN, 'Pc']): methods.append(YAWS) if CASRN: methods.append(SURF) if IgnoreMethods: for Method in IgnoreMethods: if Method in methods: methods.remove(Method) methods.append(NONE) return methods if AvailableMethods: return list_methods() if not Method: Method = list_methods()[0] if Method == IUPAC: _Pc = float(_crit_IUPAC.at[CASRN, 'Pc']) elif Method == MATTHEWS: _Pc = float(_crit_Matthews.at[CASRN, 'Pc']) elif Method == CRC: _Pc = float(_crit_CRC.at[CASRN, 'Pc']) elif Method == PSRK: _Pc = float(_crit_PSRKR4.at[CASRN, 'Pc']) elif Method == PD: _Pc = float(_crit_PassutDanner.at[CASRN, 'Pc']) elif Method == YAWS: _Pc = float(_crit_Yaws.at[CASRN, 'Pc']) elif Method == SURF: _Pc = third_property(CASRN=CASRN, P=True) elif Method == NONE: return None else: raise Exception('Failure in in function') return _Pc Vc_methods = [IUPAC, MATTHEWS, CRC, PSRK, YAWS, SURF] def Vc(CASRN, AvailableMethods=False, Method=None, IgnoreMethods=[SURF]): r'''This function handles the retrieval of a chemical's critical volume. Lookup is based on CASRNs. Will automatically select a data source to use if no Method is provided; returns None if the data is not available. Prefered sources are 'IUPAC' for organic chemicals, and 'MATTHEWS' for inorganic chemicals. Function has data for approximately 1000 chemicals. Examples -------- >>> Vc(CASRN='64-17-5') 0.000168 Parameters ---------- CASRN : string CASRN [-] Returns ------- Vc : float Critical volume, [m^3/mol] methods : list, only returned if AvailableMethods == True List of methods which can be used to obtain Vc with the given inputs Other Parameters ---------------- Method : string, optional The method name to use. Accepted methods are 'IUPAC', 'MATTHEWS', 'CRC', 'PSRK', 'YAWS', and 'SURF'. All valid values are also held in the list `Vc_methods`. AvailableMethods : bool, optional If True, function will determine which methods can be used to obtain Vc for the desired chemical, and will return methods instead of Vc IgnoreMethods : list, optional A list of methods to ignore in obtaining the full list of methods, useful for for performance reasons and ignoring inaccurate methods Notes ----- A total of six sources are available for this function. They are: * 'IUPAC', a series of critically evaluated experimental datum for organic compounds in [1]_, [2]_, [3]_, [4]_, [5]_, [6]_, [7]_, [8]_, [9]_, [10]_, [11]_, and [12]_. * 'MATTHEWS', a series of critically evaluated data for inorganic compounds in [13]_. * 'CRC', a compillation of critically evaluated data by the TRC as published in [14]_. * 'PSRK', a compillation of experimental and estimated data published in [15]_. * 'YAWS', a large compillation of data from a variety of sources; no data points are sourced in the work of [16]_. * 'SURF', an estimation method using a simple quadratic method for estimating Pc from Tc and Vc. This is ignored and not returned as a method by default References ---------- .. [1] Ambrose, Douglas, and Colin L. Young. "Vapor-Liquid Critical Properties of Elements and Compounds. 1. An Introductory Survey." Journal of Chemical & Engineering Data 41, no. 1 (January 1, 1996): 154-154. doi:10.1021/je950378q. .. [2] Ambrose, Douglas, and Constantine Tsonopoulos. "Vapor-Liquid Critical Properties of Elements and Compounds. 2. Normal Alkanes." Journal of Chemical & Engineering Data 40, no. 3 (May 1, 1995): 531-46. doi:10.1021/je00019a001. .. [3] Tsonopoulos, Constantine, and Douglas Ambrose. "Vapor-Liquid Critical Properties of Elements and Compounds. 3. Aromatic Hydrocarbons." Journal of Chemical & Engineering Data 40, no. 3 (May 1, 1995): 547-58. doi:10.1021/je00019a002. .. [4] Gude, Michael, and Amyn S. Teja. "Vapor-Liquid Critical Properties of Elements and Compounds. 4. Aliphatic Alkanols." Journal of Chemical & Engineering Data 40, no. 5 (September 1, 1995): 1025-36. doi:10.1021/je00021a001. .. [5] Daubert, Thomas E. "Vapor-Liquid Critical Properties of Elements and Compounds. 5. Branched Alkanes and Cycloalkanes." Journal of Chemical & Engineering Data 41, no. 3 (January 1, 1996): 365-72. doi:10.1021/je9501548. .. [6] Tsonopoulos, Constantine, and Douglas Ambrose. "Vapor-Liquid Critical Properties of Elements and Compounds. 6. Unsaturated Aliphatic Hydrocarbons." Journal of Chemical & Engineering Data 41, no. 4 (January 1, 1996): 645-56. doi:10.1021/je9501999. .. [7] Kudchadker, Arvind P., Douglas Ambrose, and Constantine Tsonopoulos. "Vapor-Liquid Critical Properties of Elements and Compounds. 7. Oxygen Compounds Other Than Alkanols and Cycloalkanols." Journal of Chemical & Engineering Data 46, no. 3 (May 1, 2001): 457-79. doi:10.1021/je0001680. .. [8] Tsonopoulos, Constantine, and Douglas Ambrose. "Vapor-Liquid Critical Properties of Elements and Compounds. 8. Organic Sulfur, Silicon, and Tin Compounds (C + H + S, Si, and Sn)." Journal of Chemical & Engineering Data 46, no. 3 (May 1, 2001): 480-85. doi:10.1021/je000210r. .. [9] Marsh, Kenneth N., Colin L. Young, David W. Morton, Douglas Ambrose, and Constantine Tsonopoulos. "Vapor-Liquid Critical Properties of Elements and Compounds. 9. Organic Compounds Containing Nitrogen." Journal of Chemical & Engineering Data 51, no. 2 (March 1, 2006): 305-14. doi:10.1021/je050221q. .. [10] Marsh, Kenneth N., Alan Abramson, Douglas Ambrose, David W. Morton, Eugene Nikitin, Constantine Tsonopoulos, and Colin L. Young. "Vapor-Liquid Critical Properties of Elements and Compounds. 10. Organic Compounds Containing Halogens." Journal of Chemical & Engineering Data 52, no. 5 (September 1, 2007): 1509-38. doi:10.1021/je700336g. .. [11] Ambrose, Douglas, Constantine Tsonopoulos, and Eugene D. Nikitin. "Vapor-Liquid Critical Properties of Elements and Compounds. 11. Organic Compounds Containing B + O; Halogens + N, + O, + O + S, + S, + Si; N + O; and O + S, + Si." Journal of Chemical & Engineering Data 54, no. 3 (March 12, 2009): 669-89. doi:10.1021/je800580z. .. [12] Ambrose, Douglas, Constantine Tsonopoulos, Eugene D. Nikitin, David W. Morton, and Kenneth N. Marsh. "Vapor-Liquid Critical Properties of Elements and Compounds. 12. Review of Recent Data for Hydrocarbons and Non-Hydrocarbons." Journal of Chemical & Engineering Data, October 5, 2015, 151005081500002. doi:10.1021/acs.jced.5b00571. .. [13] Mathews, Joseph F. "Critical Constants of Inorganic Substances." Chemical Reviews 72, no. 1 (February 1, 1972): 71-100. doi:10.1021/cr60275a004. .. [14] Haynes, W.M., Thomas J. Bruno, and David R. Lide. CRC Handbook of Chemistry and Physics, 95E. Boca Raton, FL: CRC press, 2014. .. [15] Horstmann, Sven, Anna Jabłoniec, Jörg Krafczyk, Kai Fischer, and Jürgen Gmehling. "PSRK Group Contribution Equation of State: Comprehensive Revision and Extension IV, Including Critical Constants and Α-Function Parameters for 1000 Components." Fluid Phase Equilibria 227, no. 2 (January 25, 2005): 157-64. doi:10.1016/j.fluid.2004.11.002. .. [16] Yaws, Carl L. Thermophysical Properties of Chemicals and Hydrocarbons, Second Edition. Amsterdam Boston: Gulf Professional Publishing, 2014. ''' def list_methods(): methods = [] if CASRN in _crit_IUPAC.index and not np.isnan(_crit_IUPAC.at[CASRN, 'Vc']): methods.append(IUPAC) if CASRN in _crit_Matthews.index and not np.isnan(_crit_Matthews.at[CASRN, 'Vc']): methods.append(MATTHEWS) if CASRN in _crit_CRC.index and not np.isnan(_crit_CRC.at[CASRN, 'Vc']): methods.append(CRC) if CASRN in _crit_PSRKR4.index and not np.isnan(_crit_PSRKR4.at[CASRN, 'Vc']): methods.append(PSRK) if CASRN in _crit_Yaws.index and not np.isnan(_crit_Yaws.at[CASRN, 'Vc']): methods.append(YAWS) if CASRN: methods.append(SURF) if IgnoreMethods: for Method in IgnoreMethods: if Method in methods: methods.remove(Method) methods.append(NONE) return methods if AvailableMethods: return list_methods() if not Method: Method = list_methods()[0] if Method == IUPAC: _Vc = float(_crit_IUPAC.at[CASRN, 'Vc']) elif Method == PSRK: _Vc = float(_crit_PSRKR4.at[CASRN, 'Vc']) elif Method == MATTHEWS: _Vc = float(_crit_Matthews.at[CASRN, 'Vc']) elif Method == CRC: _Vc = float(_crit_CRC.at[CASRN, 'Vc']) elif Method == YAWS: _Vc = float(_crit_Yaws.at[CASRN, 'Vc']) elif Method == SURF: _Vc = third_property(CASRN=CASRN, V=True) elif Method == NONE: return None else: raise Exception('Failure in in function') return _Vc COMBINED = 'COMBINED' Zc_methods = [IUPAC, MATTHEWS, CRC, PSRK, YAWS, COMBINED] def Zc(CASRN, AvailableMethods=False, Method=None, IgnoreMethods=[COMBINED]): r'''This function handles the retrieval of a chemical's critical compressibility. Lookup is based on CASRNs. Will automatically select a data source to use if no Method is provided; returns None if the data is not available. Prefered sources are 'IUPAC' for organic chemicals, and 'MATTHEWS' for inorganic chemicals. Function has data for approximately 1000 chemicals. Examples -------- >>> Zc(CASRN='64-17-5') 0.24100000000000002 Parameters ---------- CASRN : string CASRN [-] Returns ------- Zc : float Critical compressibility, [-] methods : list, only returned if AvailableMethods == True List of methods which can be used to obtain Vc with the given inputs Other Parameters ---------------- Method : string, optional The method name to use. Accepted methods are 'IUPAC', 'MATTHEWS', 'CRC', 'PSRK', 'YAWS', and 'COMBINED'. All valid values are also held in `Zc_methods`. AvailableMethods : bool, optional If True, function will determine which methods can be used to obtain Zc for the desired chemical, and will return methods instead of Zc IgnoreMethods : list, optional A list of methods to ignore in obtaining the full list of methods, useful for for performance reasons and ignoring inaccurate methods Notes ----- A total of five sources are available for this function. They are: * 'IUPAC', a series of critically evaluated experimental datum for organic compounds in [1]_, [2]_, [3]_, [4]_, [5]_, [6]_, [7]_, [8]_, [9]_, [10]_, [11]_, and [12]_. * 'MATTHEWS', a series of critically evaluated data for inorganic compounds in [13]_. * 'CRC', a compillation of critically evaluated data by the TRC as published in [14]_. * 'PSRK', a compillation of experimental and estimated data published in [15]_. * 'YAWS', a large compillation of data from a variety of sources; no data points are sourced in the work of [16]_. References ---------- .. [1] Ambrose, Douglas, and Colin L. Young. "Vapor-Liquid Critical Properties of Elements and Compounds. 1. An Introductory Survey." Journal of Chemical & Engineering Data 41, no. 1 (January 1, 1996): 154-154. doi:10.1021/je950378q. .. [2] Ambrose, Douglas, and Constantine Tsonopoulos. "Vapor-Liquid Critical Properties of Elements and Compounds. 2. Normal Alkanes." Journal of Chemical & Engineering Data 40, no. 3 (May 1, 1995): 531-46. doi:10.1021/je00019a001. .. [3] Tsonopoulos, Constantine, and Douglas Ambrose. "Vapor-Liquid Critical Properties of Elements and Compounds. 3. Aromatic Hydrocarbons." Journal of Chemical & Engineering Data 40, no. 3 (May 1, 1995): 547-58. doi:10.1021/je00019a002. .. [4] Gude, Michael, and Amyn S. Teja. "Vapor-Liquid Critical Properties of Elements and Compounds. 4. Aliphatic Alkanols." Journal of Chemical & Engineering Data 40, no. 5 (September 1, 1995): 1025-36. doi:10.1021/je00021a001. .. [5] Daubert, Thomas E. "Vapor-Liquid Critical Properties of Elements and Compounds. 5. Branched Alkanes and Cycloalkanes." Journal of Chemical & Engineering Data 41, no. 3 (January 1, 1996): 365-72. doi:10.1021/je9501548. .. [6] Tsonopoulos, Constantine, and Douglas Ambrose. "Vapor-Liquid Critical Properties of Elements and Compounds. 6. Unsaturated Aliphatic Hydrocarbons." Journal of Chemical & Engineering Data 41, no. 4 (January 1, 1996): 645-56. doi:10.1021/je9501999. .. [7] Kudchadker, Arvind P., Douglas Ambrose, and Constantine Tsonopoulos. "Vapor-Liquid Critical Properties of Elements and Compounds. 7. Oxygen Compounds Other Than Alkanols and Cycloalkanols." Journal of Chemical & Engineering Data 46, no. 3 (May 1, 2001): 457-79. doi:10.1021/je0001680. .. [8] Tsonopoulos, Constantine, and Douglas Ambrose. "Vapor-Liquid Critical Properties of Elements and Compounds. 8. Organic Sulfur, Silicon, and Tin Compounds (C + H + S, Si, and Sn)." Journal of Chemical & Engineering Data 46, no. 3 (May 1, 2001): 480-85. doi:10.1021/je000210r. .. [9] Marsh, Kenneth N., Colin L. Young, David W. Morton, Douglas Ambrose, and Constantine Tsonopoulos. "Vapor-Liquid Critical Properties of Elements and Compounds. 9. Organic Compounds Containing Nitrogen." Journal of Chemical & Engineering Data 51, no. 2 (March 1, 2006): 305-14. doi:10.1021/je050221q. .. [10] Marsh, Kenneth N., Alan Abramson, Douglas Ambrose, David W. Morton, Eugene Nikitin, Constantine Tsonopoulos, and Colin L. Young. "Vapor-Liquid Critical Properties of Elements and Compounds. 10. Organic Compounds Containing Halogens." Journal of Chemical & Engineering Data 52, no. 5 (September 1, 2007): 1509-38. doi:10.1021/je700336g. .. [11] Ambrose, Douglas, Constantine Tsonopoulos, and Eugene D. Nikitin. "Vapor-Liquid Critical Properties of Elements and Compounds. 11. Organic Compounds Containing B + O; Halogens + N, + O, + O + S, + S, + Si; N + O; and O + S, + Si." Journal of Chemical & Engineering Data 54, no. 3 (March 12, 2009): 669-89. doi:10.1021/je800580z. .. [12] Ambrose, Douglas, Constantine Tsonopoulos, Eugene D. Nikitin, David W. Morton, and Kenneth N. Marsh. "Vapor-Liquid Critical Properties of Elements and Compounds. 12. Review of Recent Data for Hydrocarbons and Non-Hydrocarbons." Journal of Chemical & Engineering Data, October 5, 2015, 151005081500002. doi:10.1021/acs.jced.5b00571. .. [13] Mathews, Joseph F. "Critical Constants of Inorganic Substances." Chemical Reviews 72, no. 1 (February 1, 1972): 71-100. doi:10.1021/cr60275a004. .. [14] Haynes, W.M., Thomas J. Bruno, and David R. Lide. CRC Handbook of Chemistry and Physics, 95E. Boca Raton, FL: CRC press, 2014. .. [15] Horstmann, Sven, Anna Jabłoniec, Jörg Krafczyk, Kai Fischer, and Jürgen Gmehling. "PSRK Group Contribution Equation of State: Comprehensive Revision and Extension IV, Including Critical Constants and Α-Function Parameters for 1000 Components." Fluid Phase Equilibria 227, no. 2 (January 25, 2005): 157-64. doi:10.1016/j.fluid.2004.11.002. .. [16] Yaws, Carl L. Thermophysical Properties of Chemicals and Hydrocarbons, Second Edition. Amsterdam Boston: Gulf Professional Publishing, 2014. ''' def list_methods(): methods = [] if CASRN in _crit_IUPAC.index and not np.isnan(_crit_IUPAC.at[CASRN, 'Zc']): methods.append(IUPAC) if CASRN in _crit_Matthews.index and not np.isnan(_crit_Matthews.at[CASRN, 'Zc']): methods.append(MATTHEWS) if CASRN in _crit_CRC.index and not np.isnan(_crit_CRC.at[CASRN, 'Zc']): methods.append(CRC) if CASRN in _crit_PSRKR4.index and not np.isnan(_crit_PSRKR4.at[CASRN, 'Zc']): methods.append(PSRK) if CASRN in _crit_Yaws.index and not np.isnan(_crit_Yaws.at[CASRN, 'Zc']): methods.append(YAWS) if Tc(CASRN) and Vc(CASRN) and Pc(CASRN): methods.append(COMBINED) if IgnoreMethods: for Method in IgnoreMethods: if Method in methods: methods.remove(Method) methods.append(NONE) return methods if AvailableMethods: return list_methods() if not Method: Method = list_methods()[0] # This is the calculate, given the method section if Method == IUPAC: _Zc = float(_crit_IUPAC.at[CASRN, 'Zc']) elif Method == PSRK: _Zc = float(_crit_PSRKR4.at[CASRN, 'Zc']) elif Method == MATTHEWS: _Zc = float(_crit_Matthews.at[CASRN, 'Zc']) elif Method == CRC: _Zc = float(_crit_CRC.at[CASRN, 'Zc']) elif Method == YAWS: _Zc = float(_crit_Yaws.at[CASRN, 'Zc']) elif Method == COMBINED: _Zc = Vc(CASRN)*Pc(CASRN)/Tc(CASRN)/R elif Method == NONE: return None else: raise Exception('Failure in in function') return _Zc rcovs_Mersmann_Kind = {'C': 0.77, 'Cl': 0.99, 'I': 1.33, 'H': 0.37, 'F': 0.71, 'S': 1.04, 'O': 0.6, 'N': 0.71, 'Si': 1.17, 'Br': 1.14} rcovs_regressed = { u'Nb': 0.5139380605234125, u'Ne': 0.7708216694154189, u'Al': 1.004994775098707, u'Re': 1.1164444694484814, u'Rb': 2.9910506044828837, u'Rn': 1.9283158156480653, u'Xe': 1.694221043013319, u'Ta': 1.1185133195453156, u'Bi': 1.8436438207262267, u'Br': 1.3081458724155532, u'Hf': 0.8829545460486594, u'Mo': 0.740396259301556, u'He': 0.9808144122544257, u'C': 0.6068586007600608, u'B': 0.7039677272439753, u'F': 0.5409105884533288, u'I': 1.7262432419406561, u'H': 0.33296601702348533, u'K': 0.7384112258842432, u'O': 0.5883254088243008, u'N': 0.5467979701131293, u'P': 1.0444655158949694, u'Si': 1.4181434041348049, u'U': 1.5530287578073485, u'Sn': 1.3339487990207999, u'W': 0.8355335838735266, u'V': 0.6714619384794069, u'Sb': 0.8840680681215854, u'Se': 1.5747549515496795, u'Ge': 1.0730584829731715, u'Kr': 1.393999829252709, u'Cl': 1.0957835025011224, u'S': 1.0364452121761167, u'Hg': 0.6750818243474633, u'As': 0.6750687692915264, u'Ar': 1.2008872952022298, u'Cs': 3.433699060142929, u'Zr': 0.9346554283483623} def Mersmann_Kind_predictor(atoms, coeff=3.645, power=0.5, covalent_radii=rcovs_Mersmann_Kind): r'''Predicts the critical molar volume of a chemical based only on its atomic composition according to [1]_ and [2]_. This is a crude approach, but provides very reasonable estimates in practice. Optionally, the `coeff` used and the `power` in the fraction as well as the atomic contributions can be adjusted; this method is general and atomic contributions can be regressed to predict other properties with this routine. .. math:: \frac{\left(\frac{V_c}{n_a N_A}\right)^{1/3}}{d_a} = \frac{3.645}{\left(\frac{r_a}{r_H}\right)^{1/2}} r_a = d_a/2 d_a = 2 \frac{\sum_i (n_i r_i)}{n_a} In the above equations, :math:`n_i` is the number of atoms of species i in the molecule, :math:`r_i` is the covalent atomic radius of the atom, and :math:`n_a` is the total number of atoms in the molecule. Parameters ---------- atoms : dict Dictionary of atoms and their counts, [-] coeff : float, optional Coefficient used in the relationship, [m^2] power : float, optional Power applied to the relative atomic radius, [-] covalent_radii : dict or indexable, optional Object which can be indexed to atomic contrinbutions (by symbol), [-] Returns ------- Vc : float Predicted critical volume of the chemical, [m^3/mol] Notes ----- Using the :obj:`thermo.elements.periodic_table` covalent radii (from RDKit), the coefficient and power should be 4.261206523632586 and 0.5597281770786228 respectively for best results. Examples -------- Prediction of critical volume of decane: >>> Mersmann_Kind_predictor({'C': 10, 'H': 22}) 0.0005851859052024729 This is compared against the experimental value, 0.000624 (a 6.2% relative error) Using custom fitted coefficients we can do a bit better: >>> from thermo.critical import rcovs_regressed >>> Mersmann_Kind_predictor({'C': 10, 'H': 22}, coeff=4.261206523632586, ... power=0.5597281770786228, covalent_radii=rcovs_regressed) 0.0005956871011923075 The relative error is only 4.5% now. This is compared to an experimental uncertainty of 5.6%. Evaluating 1321 critical volumes in the database, the average relative error is 5.0%; standard deviation 6.8%; and worst value of 79% relative error for phosphorus. References ---------- .. [1] Mersmann, Alfons, and Matthias Kind. "Correlation for the Prediction of Critical Molar Volume." Industrial & Engineering Chemistry Research, October 16, 2017. https://doi.org/10.1021/acs.iecr.7b03171. .. [2] Mersmann, Alfons, and Matthias Kind. "Prediction of Mechanical and Thermal Properties of Pure Liquids, of Critical Data, and of Vapor Pressure." Industrial & Engineering Chemistry Research, January 31, 2017. https://doi.org/10.1021/acs.iecr.6b04323. ''' H_RADIUS_COV = covalent_radii['H'] tot = 0 atom_count = 0 for atom, count in atoms.items(): if atom not in covalent_radii: raise Exception('Atom %s is not supported by the supplied dictionary' %atom) tot += count*covalent_radii[atom] atom_count += count da = 2.*tot/atom_count ra = da/2. da_SI = da*1e-10 # Convert from angstrom to m return ((coeff/(ra/H_RADIUS_COV)**power)*da_SI)**3*N_A*atom_count ### Critical Property Relationships def Ihmels(Tc=None, Pc=None, Vc=None): r'''Most recent, and most recommended method of estimating critical properties from each other. Two of the three properties are required. This model uses the "critical surface", a general plot of Tc vs Pc vs Vc. The model used 421 organic compounds to derive equation. The general equation is in [1]_: .. math:: P_c = -0.025 + 2.215 \frac{T_c}{V_c} Parameters ---------- Tc : float Critical temperature of fluid (optional) [K] Pc : float Critical pressure of fluid (optional) [Pa] Vc : float Critical volume of fluid (optional) [m^3/mol] Returns ------- Tc, Pc or Vc : float Critical property of fluid [K], [Pa], or [m^3/mol] Notes ----- The prediction of Tc from Pc and Vc is not tested, as this is not necessary anywhere, but it is implemented. Internal units are MPa, cm^3/mol, and K. A slight error occurs when Pa, cm^3/mol and K are used instead, on the order of <0.2%. Their equation was also compared with 56 inorganic and elements. Devations of 20% for <200K or >1000K points. Examples --------a Succinic acid [110-15-6] >>> Ihmels(Tc=851.0, Vc=0.000308) 6095016.233766234 References ---------- .. [1] Ihmels, E. Christian. "The Critical Surface." Journal of Chemical & Engineering Data 55, no. 9 (September 9, 2010): 3474-80. doi:10.1021/je100167w. ''' if Tc and Vc: Vc = Vc*1E6 # m^3/mol to cm^3/mol Pc = -0.025+2.215*Tc/Vc Pc = Pc*1E6 # MPa to Pa return Pc elif Tc and Pc: Pc = Pc/1E6 # Pa to MPa Vc = 443*Tc/(200*Pc+5) Vc = Vc/1E6 # cm^3/mol to m^3/mol return Vc elif Pc and Vc: Pc = Pc/1E6 # Pa to MPa Vc = Vc*1E6 # m^3/mol to cm^3/mol Tc = 5.0/443*(40*Pc*Vc + Vc) return Tc else: raise Exception('Two of Tc, Pc, and Vc must be provided') def Meissner(Tc=None, Pc=None, Vc=None): r'''Old (1942) relationship for estimating critical properties from each other. Two of the three properties are required. This model uses the "critical surface", a general plot of Tc vs Pc vs Vc. The model used 42 organic and inorganic compounds to derive the equation. The general equation is in [1]_: .. math:: P_c = \frac{2.08 T_c}{V_c-8} Parameters ---------- Tc : float, optional Critical temperature of fluid [K] Pc : float, optional Critical pressure of fluid [Pa] Vc : float, optional Critical volume of fluid [m^3/mol] Returns ------- Tc, Pc or Vc : float Critical property of fluid [K], [Pa], or [m^3/mol] Notes ----- The prediction of Tc from Pc and Vc is not tested, as this is not necessary anywhere, but it is implemented. Internal units are atm, cm^3/mol, and K. A slight error occurs when Pa, cm^3/mol and K are used instead, on the order of <0.2%. This equation is less accurate than that of Ihmels, but surprisingly close. The author also proposed means of estimated properties independently. Examples -------- Succinic acid [110-15-6] >>> Meissner(Tc=851.0, Vc=0.000308) 5978445.199999999 References ---------- .. [1] Meissner, H. P., and E. M. Redding. "Prediction of Critical Constants." Industrial & Engineering Chemistry 34, no. 5 (May 1, 1942): 521-26. doi:10.1021/ie50389a003. ''' if Tc and Vc: Vc = Vc*1E6 Pc = 20.8*Tc/(Vc-8) Pc = 101325*Pc # atm to Pa return Pc elif Tc and Pc: Pc = Pc/101325. # Pa to atm Vc = 104/5.0*Tc/Pc+8 Vc = Vc/1E6 # cm^3/mol to m^3/mol return Vc elif Pc and Vc: Pc = Pc/101325. # Pa to atm Vc = Vc*1E6 # m^3/mol to cm^3/mol Tc = 5./104.0*Pc*(Vc-8) return Tc else: raise Exception('Two of Tc, Pc, and Vc must be provided') def Grigoras(Tc=None, Pc=None, Vc=None): r'''Relatively recent (1990) relationship for estimating critical properties from each other. Two of the three properties are required. This model uses the "critical surface", a general plot of Tc vs Pc vs Vc. The model used 137 organic and inorganic compounds to derive the equation. The general equation is in [1]_: .. math:: P_c = 2.9 + 20.2 \frac{T_c}{V_c} Parameters ---------- Tc : float Critical temperature of fluid (optional) [K] Pc : float Critical pressure of fluid (optional) [Pa] Vc : float Critical volume of fluid (optional) [m^3/mol] Returns ------- Tc, Pc or Vc : float Critical property of fluid [K], [Pa], or [m^3/mol] Notes ----- The prediction of Tc from Pc and Vc is not tested, as this is not necessary anywhere, but it is implemented. Internal units are bar, cm^3/mol, and K. A slight error occurs when Pa, cm^3/mol and K are used instead, on the order of <0.2%. This equation is less accurate than that of Ihmels, but surprisingly close. The author also investigated an early QSPR model. Examples -------- Succinic acid [110-15-6] >>> Grigoras(Tc=851.0, Vc=0.000308) 5871233.766233766 References ---------- .. [1] Grigoras, Stelian. "A Structural Approach to Calculate Physical Properties of Pure Organic Substances: The Critical Temperature, Critical Volume and Related Properties." Journal of Computational Chemistry 11, no. 4 (May 1, 1990): 493-510. doi:10.1002/jcc.540110408 ''' if Tc and Vc: Vc = Vc*1E6 # m^3/mol to cm^3/mol Pc = 2.9 + 20.2*Tc/Vc Pc = Pc*1E5 # bar to Pa return Pc elif Tc and Pc: Pc = Pc/1E5 # Pa to bar Vc = 202.0*Tc/(10*Pc-29.0) Vc = Vc/1E6 # cm^3/mol to m^3/mol return Vc elif Pc and Vc: Pc = Pc/1E5 # Pa to bar Vc = Vc*1E6 # m^3/mol to cm^3/mol Tc = 1.0/202*(10*Pc-29.0)*Vc return Tc else: raise Exception('Two of Tc, Pc, and Vc must be provided') IHMELS = 'IHMELS' MEISSNER = 'MEISSNER' GRIGORAS = 'GRIGORAS' critical_surface_methods = [IHMELS, MEISSNER, GRIGORAS] def critical_surface(Tc=None, Pc=None, Vc=None, AvailableMethods=False, Method=None): r'''Function for calculating a critical property of a substance from its other two critical properties. Calls functions Ihmels, Meissner, and Grigoras, each of which use a general 'Critical surface' type of equation. Limited accuracy is expected due to very limited theoretical backing. Parameters ---------- Tc : float Critical temperature of fluid (optional) [K] Pc : float Critical pressure of fluid (optional) [Pa] Vc : float Critical volume of fluid (optional) [m^3/mol] AvailableMethods : bool Request available methods for given parameters Method : string Request calculation uses the requested method Returns ------- Tc, Pc or Vc : float Critical property of fluid [K], [Pa], or [m^3/mol] Notes ----- Examples -------- Decamethyltetrasiloxane [141-62-8] >>> critical_surface(Tc=599.4, Pc=1.19E6, Method='IHMELS') 0.0010927333333333334 ''' def list_methods(): methods = [] if (Tc and Pc) or (Tc and Vc) or (Pc and Vc): methods.append(IHMELS) methods.append(MEISSNER) methods.append(GRIGORAS) methods.append(NONE) return methods if AvailableMethods: return list_methods() if not Method: Method = list_methods()[0] # This is the calculate, given the method section if Method == IHMELS: Third = Ihmels(Tc=Tc, Pc=Pc, Vc=Vc) elif Method == MEISSNER: Third = Meissner(Tc=Tc, Pc=Pc, Vc=Vc) elif Method == GRIGORAS: Third = Grigoras(Tc=Tc, Pc=Pc, Vc=Vc) elif Method == NONE: Third = None else: raise Exception('Failure in in function') return Third def third_property(CASRN=None, T=False, P=False, V=False): r'''Function for calculating a critical property of a substance from its other two critical properties, but retrieving the actual other critical values for convenient calculation. Calls functions Ihmels, Meissner, and Grigoras, each of which use a general 'Critical surface' type of equation. Limited accuracy is expected due to very limited theoretical backing. Parameters ---------- CASRN : string The CAS number of the desired chemical T : bool Estimate critical temperature P : bool Estimate critical pressure V : bool Estimate critical volume Returns ------- Tc, Pc or Vc : float Critical property of fluid [K], [Pa], or [m^3/mol] Notes ----- Avoids recursion only by eliminating the None and critical surface options for calculating each critical property. So long as it never calls itself. Note that when used by Tc, Pc or Vc, this function results in said function calling the other functions (to determine methods) and (with method specified) Examples -------- >>> # Decamethyltetrasiloxane [141-62-8] >>> third_property('141-62-8', V=True) 0.0010920041152263375 >>> # Succinic acid 110-15-6 >>> third_property('110-15-6', P=True) 6095016.233766234 ''' Third = None if V: Tc_methods = Tc(CASRN, AvailableMethods=True)[0:-2] Pc_methods = Pc(CASRN, AvailableMethods=True)[0:-2] if Tc_methods and Pc_methods: _Tc = Tc(CASRN=CASRN, Method=Tc_methods[0]) _Pc = Pc(CASRN=CASRN, Method=Pc_methods[0]) Third = critical_surface(Tc=_Tc, Pc=_Pc, Vc=None) elif P: Tc_methods = Tc(CASRN, AvailableMethods=True)[0:-2] Vc_methods = Vc(CASRN, AvailableMethods=True)[0:-2] if Tc_methods and Vc_methods: _Tc = Tc(CASRN=CASRN, Method=Tc_methods[0]) _Vc = Vc(CASRN=CASRN, Method=Vc_methods[0]) Third = critical_surface(Tc=_Tc, Vc=_Vc, Pc=None) elif T: Pc_methods = Pc(CASRN, AvailableMethods=True)[0:-2] Vc_methods = Vc(CASRN, AvailableMethods=True)[0:-2] if Pc_methods and Vc_methods: _Pc = Pc(CASRN=CASRN, Method=Pc_methods[0]) _Vc = Vc(CASRN=CASRN, Method=Vc_methods[0]) Third = critical_surface(Pc=_Pc, Vc=_Vc, Tc=None) else: raise Exception('Error in function') if not Third: return None return Third ### Critical Properties - Mixtures ### Crtical Temperature of Mixtures def Li(zs, Tcs, Vcs): r'''Calculates critical temperature of a mixture according to mixing rules in [1]_. Better than simple mixing rules. .. math:: T_{cm} = \sum_{i=1}^n \Phi_i T_{ci}\\ \Phi = \frac{x_i V_{ci}}{\sum_{j=1}^n x_j V_{cj}} Parameters ---------- zs : array-like Mole fractions of all components Tcs : array-like Critical temperatures of all components, [K] Vcs : array-like Critical volumes of all components, [m^3/mol] Returns ------- Tcm : float Critical temperatures of the mixture, [K] Notes ----- Reviewed in many papers on critical mixture temperature. Second example is from Najafi (2015), for ethylene, Benzene, ethylbenzene. This is similar to but not identical to the result from the article. The experimental point is 486.9 K. 2rd example is from Najafi (2015), for: butane/pentane/hexane 0.6449/0.2359/0.1192 mixture, exp: 450.22 K. Its result is identical to that calculated in the article. Examples -------- Nitrogen-Argon 50/50 mixture >>> Li([0.5, 0.5], [126.2, 150.8], [8.95e-05, 7.49e-05]) 137.40766423357667 butane/pentane/hexane 0.6449/0.2359/0.1192 mixture, exp: 450.22 K. >>> Li([0.6449, 0.2359, 0.1192], [425.12, 469.7, 507.6], ... [0.000255, 0.000313, 0.000371]) 449.68261498555444 References ---------- .. [1] Li, C. C. "Critical Temperature Estimation for Simple Mixtures." The Canadian Journal of Chemical Engineering 49, no. 5 (October 1, 1971): 709-10. doi:10.1002/cjce.5450490529. ''' if not none_and_length_check([zs, Tcs, Vcs]): raise Exception('Function inputs are incorrect format') denominator = sum(zs[i]*Vcs[i] for i in range(len(zs))) Tcm = 0 for i in range(len(zs)): Tcm += zs[i]*Vcs[i]*Tcs[i]/denominator return Tcm def Chueh_Prausnitz_Tc(zs, Tcs, Vcs, taus): r'''Calculates critical temperature of a mixture according to mixing rules in [1]_. .. math:: T_{cm} = \sum_i^n \theta_i Tc_i + \sum_i^n\sum_j^n(\theta_i \theta_j \tau_{ij})T_{ref} \theta = \frac{x_i V_{ci}^{2/3}}{\sum_{j=1}^n x_j V_{cj}^{2/3}} For a binary mxiture, this simplifies to: .. math:: T_{cm} = \theta_1T_{c1} + \theta_2T_{c2} + 2\theta_1\theta_2\tau_{12} Parameters ---------- zs : array-like Mole fractions of all components Tcs : array-like Critical temperatures of all components, [K] Vcs : array-like Critical volumes of all components, [m^3/mol] taus : array-like of shape `zs` by `zs` Interaction parameters Returns ------- Tcm : float Critical temperatures of the mixture, [K] Notes ----- All parameters, even if zero, must be given to this function. Examples -------- butane/pentane/hexane 0.6449/0.2359/0.1192 mixture, exp: 450.22 K. >>> Chueh_Prausnitz_Tc([0.6449, 0.2359, 0.1192], [425.12, 469.7, 507.6], ... [0.000255, 0.000313, 0.000371], [[0, 1.92681, 6.80358], ... [1.92681, 0, 1.89312], [ 6.80358, 1.89312, 0]]) 450.1225764723492 References ---------- .. [1] Chueh, P. L., and J. M. Prausnitz. "Vapor-Liquid Equilibria at High Pressures: Calculation of Critical Temperatures, Volumes, and Pressures of Nonpolar Mixtures." AIChE Journal 13, no. 6 (November 1, 1967): 1107-13. doi:10.1002/aic.690130613. .. [2] Najafi, Hamidreza, Babak Maghbooli, and Mohammad Amin Sobati. "Prediction of True Critical Temperature of Multi-Component Mixtures: Extending Fast Estimation Methods." Fluid Phase Equilibria 392 (April 25, 2015): 104-26. doi:10.1016/j.fluid.2015.02.001. ''' if not none_and_length_check([zs, Tcs, Vcs]): raise Exception('Function inputs are incorrect format') denominator = sum(zs[i]*Vcs[i]**(2/3.) for i in range(len(zs))) Tcm = 0 for i in range(len(zs)): Tcm += zs[i]*Vcs[i]**(2/3.)*Tcs[i]/denominator for j in range(len(zs)): Tcm += (zs[i]*Vcs[i]**(2/3.)/denominator)*(zs[j]*Vcs[j]**(2/3.)/denominator)*taus[i][j] return Tcm #print Chueh_Prausnitz_Tc([0.6449, 0.2359, 0.1192], [425.12, 469.7, 507.6], [0.000255, 0.000313, 0.000371], [[0, 1.92681, 6.80358], [1.92681, 0, 1.89312], [ 6.80358, 1.89312, 0]]) #butane/pentane/hexane 0.6449/0.2359/0.1192 mixture, exp: 450.22 K. # 450.12258 is expected # butane/pentane 1.92681 #butane/hexane 6.80358 # pentane/hexane 1.89312 ##print Chueh_Prausnitz_Tc([0.5, 0.5], [508.1, 425.12], [0.000213, 0.000255], [[0, -14.2619], [-14.2619, 0]]) #### ##print Li([0.5, 0.5], [508.1, 425.12], [0.000213, 0.000255]) # #print Chueh_Prausnitz_Tc([0.5, 0.447, .053], [282.34, 562.05, 617.15], [0.0001311, 0.000256, 0.000374], [[0, 37.9570, 0], [37.9570, 0, 4.2459], [0, 4.2459, 0]]) ## ethylene, Benzene, ethylbenzene ##ethylene 74-85-1 1-ALKENES 0.5 benzene 71-43-2 N-ALKYLBENZENES 0.447 ethylbenzene 100-41-4 N-ALKYLBENZENES 0.053 ##['74-85-1', '71-43-2', '100-41-4'] ##[[0, 37.9570, 0], [37.9570, 0, 4.2459], [0, 4.2459, 0]] # ##benzene ethylene 14 37.9570 ##benzene ethylbenzene 9 4.2459 def Grieves_Thodos(zs, Tcs, Aijs): r'''Calculates critical temperature of a mixture according to mixing rules in [1]_. .. math:: T_{cm} = \sum_{i} \frac{T_{ci}}{1 + (1/x_i)\sum_j A_{ij} x_j} For a binary mxiture, this simplifies to: .. math:: T_{cm} = \frac{T_{c1}}{1 + (x_2/x_1)A_{12}} + \frac{T_{c2}} {1 + (x_1/x_2)A_{21}} Parameters ---------- zs : array-like Mole fractions of all components Tcs : array-like Critical temperatures of all components, [K] Aijs : array-like of shape `zs` by `zs` Interaction parameters Returns ------- Tcm : float Critical temperatures of the mixture, [K] Notes ----- All parameters, even if zero, must be given to this function. Giving 0s gives really bad results however. Examples -------- butane/pentane/hexane 0.6449/0.2359/0.1192 mixture, exp: 450.22 K. >>> Grieves_Thodos([0.6449, 0.2359, 0.1192], [425.12, 469.7, 507.6], [[0, 1.2503, 1.516], [0.799807, 0, 1.23843], [0.659633, 0.807474, 0]]) 450.1839618758971 References ---------- .. [1] Grieves, Robert B., and George Thodos. "The Critical Temperatures of Multicomponent Hydrocarbon Systems." AIChE Journal 8, no. 4 (September 1, 1962): 550-53. doi:10.1002/aic.690080426. .. [2] Najafi, Hamidreza, Babak Maghbooli, and Mohammad Amin Sobati. "Prediction of True Critical Temperature of Multi-Component Mixtures: Extending Fast Estimation Methods." Fluid Phase Equilibria 392 (April 25, 2015): 104-26. doi:10.1016/j.fluid.2015.02.001. ''' if not none_and_length_check([zs, Tcs]): raise Exception('Function inputs are incorrect format') Tcm = 0 for i in range(len(zs)): Tcm += Tcs[i]/(1. + 1./zs[i]*sum(Aijs[i][j]*zs[j] for j in range(len(zs)))) return Tcm #print Grieves_Thodos([0.6449, 0.2359, 0.1192], [425.12, 469.7, 507.6], [[0, 1.2503, 1.516], [0.799807, 0, 1.23843], [0.659633, 0.807474, 0]]) #butane/pentane/hexane 0.6449/0.2359/0.1192 mixture, exp: 450.22 K. # 450.18396 is expected # butane/pentane 1.2503000 0.7998070 #butane/hexane 1.5160000 0.6596330 # pentane/hexane 1.238430 0.807474 #print Grieves_Thodos([0.5, 0.447, .053], [282.34, 562.05, 617.15], [[0, 0.8166850, 0], [0.7727120, 0, 1.5038], [0, 0.6650, 0]]) ## ethylene, Benzene, ethylbenzene ## Vcs=[0.0001311, 0.000256, 0.000374] # #1.5038 0.6650 # benzene to ethylbenzene # #0.7727120 0.8166850 # benzene to ethylene # Author claims result of 473.74. def modified_Wilson_Tc(zs, Tcs, Aijs): r'''Calculates critical temperature of a mixture according to mixing rules in [1]_. Equation .. math:: T_{cm} = \sum_i x_i T_{ci} + C\sum_i x_i \ln \left(x_i + \sum_j x_j A_{ij}\right)T_{ref} For a binary mxiture, this simplifies to: .. math:: T_{cm} = x_1 T_{c1} + x_2 T_{c2} + C[x_1 \ln(x_1 + x_2A_{12}) + x_2\ln(x_2 + x_1 A_{21})] Parameters ---------- zs : float Mole fractions of all components Tcs : float Critical temperatures of all components, [K] Aijs : matrix Interaction parameters Returns ------- Tcm : float Critical temperatures of the mixture, [K] Notes ----- The equation and original article has been reviewed. [1]_ has 75 binary systems, and additional multicomponent mixture parameters. All parameters, even if zero, must be given to this function. 2rd example is from [2]_, for: butane/pentane/hexane 0.6449/0.2359/0.1192 mixture, exp: 450.22 K. Its result is identical to that calculated in the article. Examples -------- >>> modified_Wilson_Tc([0.6449, 0.2359, 0.1192], [425.12, 469.7, 507.6], ... [[0, 1.174450, 1.274390], [0.835914, 0, 1.21038], ... [0.746878, 0.80677, 0]]) 450.0305966823031 References ---------- .. [1] Teja, Amyn S., Kul B. Garg, and Richard L. Smith. "A Method for the Calculation of Gas-Liquid Critical Temperatures and Pressures of Multicomponent Mixtures." Industrial & Engineering Chemistry Process Design and Development 22, no. 4 (1983): 672-76. .. [2] Najafi, Hamidreza, Babak Maghbooli, and Mohammad Amin Sobati. "Prediction of True Critical Temperature of Multi-Component Mixtures: Extending Fast Estimation Methods." Fluid Phase Equilibria 392 (April 25, 2015): 104-26. doi:10.1016/j.fluid.2015.02.001. ''' if not none_and_length_check([zs, Tcs]): raise Exception('Function inputs are incorrect format') C = -2500 Tcm = sum(zs[i]*Tcs[i] for i in range(len(zs))) for i in range(len(zs)): Tcm += C*zs[i]*log(zs[i] + sum(zs[j]*Aijs[i][j] for j in range(len(zs)))) return Tcm #print modified_Wilson_Tc([0.6449, 0.2359, 0.1192], [425.12, 469.7, 507.6], [[0, 1.174450, 1.274390], [0.835914, 0, 1.21038], [0.746878, 0.80677, 0]]) #butane/pentane/hexane 0.6449/0.2359/0.1192 mixture, exp: 450.22 K. # 450.0306 is expected # butane/pentane 1.174450 0.835914 #butane/hexane 1.274390 0.746878 # pentane/hexane 1.21038 0.80677 #print modified_Wilson_Tc([0.5, 0.5], [508.1, 425.12], [[0, 0.8359], [0, 1.1963]]) # Acetone/butane 50-50 #print modified_Wilson_Tc([0.5, 0.447, .053], [282.34, 562.05, 617.15], [[0,1.0853, 0 ], [0.8425, 0, 1.2514], [0, 0.7688, 0]]) #Tc exp: 486.90 # Author claims MW gives 471.49 ## ethylene, Benzene, ethylbenzene # Vcs=[0.0001311, 0.000256, 0.000374] #benzene-ethylene 0.8425 1.0853 #benzene ethylbenzene 1.2514 0.7688 # ethylene-ethylbenzene (26.166530797247095, 3.2152024634944754) CALCULATED #print Grieves_Thodos([0.5, 0.5], [508.1, 425.12], [[0, 0.7137], [1.6496, 0]]) #print Grieves_Thodos([0.5, 0.5], [508.1, 425.12], [[0, 0.1305], [0.09106, 0]]) def Tc_mixture(Tcs=None, zs=None, CASRNs=None, AvailableMethods=False, Method=None): # pragma: no cover '''This function handles the retrival of a mixture's critical temperature. This API is considered experimental, and is expected to be removed in a future release in favor of a more complete object-oriented interface. >>> Tc_mixture([400, 550], [0.3, 0.7]) 505.0 ''' def list_methods(): methods = [] if none_and_length_check([Tcs]): methods.append('Simple') methods.append('None') return methods if AvailableMethods: return list_methods() if not Method: Method = list_methods()[0] # This is the calculate, given the method section if Method == 'Simple': return mixing_simple(zs, Tcs) elif Method == 'None': return None else: raise Exception('Failure in in function') ### Crtical Pressure of Mixtures def Pc_mixture(Pcs=None, zs=None, CASRNs=None, AvailableMethods=False, Method=None): # pragma: no cover '''This function handles the retrival of a mixture's critical temperature. This API is considered experimental, and is expected to be removed in a future release in favor of a more complete object-oriented interface. >>> Pc_mixture([2.2E7, 1.1E7], [0.3, 0.7]) 14300000.0 ''' def list_methods(): methods = [] if none_and_length_check([Pcs]): methods.append('Simple') methods.append('None') return methods if AvailableMethods: return list_methods() if not Method: Method = list_methods()[0] # This is the calculate, given the method section if Method == 'Simple': return mixing_simple(zs, Pcs) elif Method == 'None': return None else: raise Exception('Failure in in function') ### Crtical Volume of Mixtures def Chueh_Prausnitz_Vc(zs, Vcs, nus): r'''Calculates critical volume of a mixture according to mixing rules in [1]_ with an interaction parameter. .. math:: V_{cm} = \sum_i^n \theta_i V_{ci} + \sum_i^n\sum_j^n(\theta_i \theta_j \nu_{ij})V_{ref} \theta = \frac{x_i V_{ci}^{2/3}}{\sum_{j=1}^n x_j V_{cj}^{2/3}} Parameters ---------- zs : float Mole fractions of all components Vcs : float Critical volumes of all components, [m^3/mol] nus : matrix Interaction parameters, [cm^3/mol] Returns ------- Vcm : float Critical volume of the mixture, [m^3/mol] Notes ----- All parameters, even if zero, must be given to this function. nu parameters are in cm^3/mol, but are converted to m^3/mol inside the function Examples -------- 1-butanol/benzene 0.4271/0.5729 mixture, Vcm = 268.096 mL/mol. >>> Chueh_Prausnitz_Vc([0.4271, 0.5729], [0.000273, 0.000256], [[0, 5.61847], [5.61847, 0]]) 0.00026620503424517445 References ---------- .. [1] Chueh, P. L., and J. M. Prausnitz. "Vapor-Liquid Equilibria at High Pressures: Calculation of Critical Temperatures, Volumes, and Pressures of Nonpolar Mixtures." AIChE Journal 13, no. 6 (November 1, 1967): 1107-13. doi:10.1002/aic.690130613. .. [2] Najafi, Hamidreza, Babak Maghbooli, and Mohammad Amin Sobati. "Prediction of True Critical Volume of Multi-Component Mixtures: Extending Fast Estimation Methods." Fluid Phase Equilibria 386 (January 25, 2015): 13-29. doi:10.1016/j.fluid.2014.11.008. ''' if not none_and_length_check([zs, Vcs]): # check same-length inputs raise Exception('Function inputs are incorrect format') denominator = sum(zs[i]*Vcs[i]**(2/3.) for i in range(len(zs))) Vcm = 0 for i in range(len(zs)): Vcm += zs[i]*Vcs[i]**(2/3.)*Vcs[i]/denominator for j in range(len(zs)): Vcm += (zs[i]*Vcs[i]**(2/3.)/denominator)*(zs[j]*Vcs[j]**(2/3.)/denominator)*nus[i][j]/1E6 return Vcm #print Chueh_Prausnitz_Vc([0.4271, 0.5729], [0.000273, 0.000256], [[0, 5.61847], [5.61847, 0]]) ## 1-butanol/benzene 0.4271/0.5729 mixture, Vcm = 268.096 mL/mol ## Expected result: 266.205034245174 def modified_Wilson_Vc(zs, Vcs, Aijs): r'''Calculates critical volume of a mixture according to mixing rules in [1]_ with parameters. Equation .. math:: V_{cm} = \sum_i x_i V_{ci} + C\sum_i x_i \ln \left(x_i + \sum_j x_j A_{ij}\right)V_{ref} For a binary mxiture, this simplifies to: .. math:: V_{cm} = x_1 V_{c1} + x_2 V_{c2} + C[x_1 \ln(x_1 + x_2A_{12}) + x_2\ln(x_2 + x_1 A_{21})] Parameters ---------- zs : float Mole fractions of all components Vcs : float Critical volumes of all components, [m^3/mol] Aijs : matrix Interaction parameters, [cm^3/mol] Returns ------- Vcm : float Critical volume of the mixture, [m^3/mol] Notes ----- The equation and original article has been reviewed. All parameters, even if zero, must be given to this function. C = -2500 All parameters, even if zero, must be given to this function. nu parameters are in cm^3/mol, but are converted to m^3/mol inside the function Examples -------- 1-butanol/benzene 0.4271/0.5729 mixture, Vcm = 268.096 mL/mol. >>> modified_Wilson_Vc([0.4271, 0.5729], [0.000273, 0.000256], ... [[0, 0.6671250], [1.3939900, 0]]) 0.0002664335032706881 References ---------- .. [1] Teja, Amyn S., Kul B. Garg, and Richard L. Smith. "A Method for the Calculation of Gas-Liquid Critical Temperatures and Pressures of Multicomponent Mixtures." Industrial & Engineering Chemistry Process Design and Development 22, no. 4 (1983): 672-76. .. [2] Najafi, Hamidreza, Babak Maghbooli, and Mohammad Amin Sobati. "Prediction of True Critical Temperature of Multi-Component Mixtures: Extending Fast Estimation Methods." Fluid Phase Equilibria 392 (April 25, 2015): 104-26. doi:10.1016/j.fluid.2015.02.001. ''' if not none_and_length_check([zs, Vcs]): # check same-length inputs raise Exception('Function inputs are incorrect format') C = -2500 Vcm = sum(zs[i]*Vcs[i] for i in range(len(zs))) for i in range(len(zs)): Vcm += C*zs[i]*log(zs[i] + sum(zs[j]*Aijs[i][j] for j in range(len(zs))))/1E6 return Vcm def Vc_mixture(Vcs=None, zs=None, CASRNs=None, AvailableMethods=False, Method=None): # pragma: no cover '''This function handles the retrival of a mixture's critical temperature. This API is considered experimental, and is expected to be removed in a future release in favor of a more complete object-oriented interface. >>> Vc_mixture([5.6E-5, 2E-4], [0.3, 0.7]) 0.0001568 ''' def list_methods(): methods = [] if none_and_length_check([Vcs]): methods.append('Simple') methods.append('None') return methods if AvailableMethods: return list_methods() if not Method: Method = list_methods()[0] # This is the calculate, given the method section if Method == 'Simple': return mixing_simple(zs, Vcs) elif Method == 'None': return None else: raise Exception('Failure in in function')

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869506c48d16003efcc6d19e7271b2da1cb6cd01

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py

Python

pytanga/components/Cisco/xe/ip/__init__.py

renatoalmeidaoliveira/Pytanga

aa02f1c0f2573da1330d1d246ab780fa3be336a5

[ "MIT" ]

null

pytanga/components/Cisco/xe/ip/__init__.py

renatoalmeidaoliveira/Pytanga

aa02f1c0f2573da1330d1d246ab780fa3be336a5

[ "MIT" ]

null

pytanga/components/Cisco/xe/ip/__init__.py

renatoalmeidaoliveira/Pytanga

aa02f1c0f2573da1330d1d246ab780fa3be336a5

[ "MIT" ]

null

from .ip import ipComponent from .prefix import prefixComponent from .prefixlist import prefixlistComponent from .prefixlists import prefixeslistsComponent from .routemap import routemapComponent from .routemapentry import routemapentryComponent

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0

5

86978b3f2b4acd165df150d78a31b2fb921a36f2

154

py

Python

defineClass.py

ramprakashmu/python

667657e46e748759006759dec5d95a172946f3a8

[ "Apache-2.0" ]

null

defineClass.py

ramprakashmu/python

667657e46e748759006759dec5d95a172946f3a8

[ "Apache-2.0" ]

null

defineClass.py

ramprakashmu/python

667657e46e748759006759dec5d95a172946f3a8

[ "Apache-2.0" ]

null

class Util(): def __init__(self,item): self.item=item def getUtil(self): return self.item u=Util("Ram") print(u.getUtil())

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1

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5

86ef90bc9314ebd48a90f3166b9d3612473e0efc

100

py

Python

codenode/cpp/nodes/__init__.py

0xf0f/codenode

fa36ba5e2eeb42e95c8fc33afd4f1bf131ba6d9b

[ "MIT" ]

3

2019-06-27T04:57:37.000Z

2019-06-27T11:29:33.000Z

codenode/cpp/nodes/__init__.py

0xf0f/codenode

fa36ba5e2eeb42e95c8fc33afd4f1bf131ba6d9b

[ "MIT" ]

null

codenode/cpp/nodes/__init__.py

0xf0f/codenode

fa36ba5e2eeb42e95c8fc33afd4f1bf131ba6d9b

[ "MIT" ]

null

from .block import Block from .function_definition import Function from .statement import Statement

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null

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0

1

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5

810af334c2799c5e879d9421ce009cbab46572f9

257

py

Python

django_peeringdb/models/__init__.py

steffann/django-peeringdb

7151c7807927dfb31f3a6d3b4dd6d8adc7d23363

[ "Apache-2.0" ]

null

django_peeringdb/models/__init__.py

steffann/django-peeringdb

7151c7807927dfb31f3a6d3b4dd6d8adc7d23363

[ "Apache-2.0" ]

null

django_peeringdb/models/__init__.py

steffann/django-peeringdb

7151c7807927dfb31f3a6d3b4dd6d8adc7d23363

[ "Apache-2.0" ]

null

from django.conf import settings as __settings # import to namespace from django_peeringdb.models.abstract import * # noqa if not __settings.ABSTRACT_ONLY: # import to namespace from django_peeringdb.models.concrete import * # noqa del __settings

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1

0

1

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5

812760c9f7ffc511b409f3b218b90103db27154d

381

py

Python

CS1410/Module5/WhatMethodGetsCalled.py

Davidjbennett/DavidBennett.github.io

09a2652b7ace8741bf23c6432abd58ee790b9f0c

[ "MIT" ]

3

2021-05-18T16:17:29.000Z

2022-01-20T15:46:59.000Z

CS1410/Module5/WhatMethodGetsCalled.py

Davidjbennett/DavidBennett

09a2652b7ace8741bf23c6432abd58ee790b9f0c

[ "MIT" ]

null

CS1410/Module5/WhatMethodGetsCalled.py

Davidjbennett/DavidBennett

09a2652b7ace8741bf23c6432abd58ee790b9f0c

[ "MIT" ]

null

class A(): def __init__(self): pass def f(self): return "A" class B(A): def __init__(self): pass def f(self): return "B" def g(self): return "B" class C(B): def __init__(self): pass def g(self): return "C" class D(C): def __init__(self): pass d = D() print(d.f()) print(d.g())

13.607143

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5

d4967a3ae245f85078fe22141e2fe0b16965f13e

428

py

Python

coils/test/testUserInput.py

vmlaker/coils

a3a613b3d661dec010e5879c86e62cbff2519dd0

[ "MIT" ]

3

2015-04-23T02:14:59.000Z

2017-09-27T17:33:37.000Z

coils/test/testUserInput.py

vmlaker/coils

a3a613b3d661dec010e5879c86e62cbff2519dd0

[ "MIT" ]

null

coils/test/testUserInput.py

vmlaker/coils

a3a613b3d661dec010e5879c86e62cbff2519dd0

[ "MIT" ]

null

def test1(): """Test UserInput.""" from coils.UserInput import user_input assert user_input('Name') == 'Bugs' assert user_input('Surname', default='Bunny') == 'Bunny' assert user_input('Bird', choices=('Tweety', 'Beaky')) == 'Tweety' assert user_input('Bird', choices=('Tweety', 'Beaky')) == 'Beaky' assert not user_input('empty input', empty_ok=True) assert user_input('last one') == 'The end.'

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0

5

d4ab90b9704c64a9733a176e80c0984bb00838bd

263

py

Python

mmocr/models/textrecog/recognizer/crnn.py

yangrisheng/mmocr

3ad4a8d3f8d2d22b7854b72ee68a7977a3f3631f

[ "Apache-2.0" ]

2

2022-01-02T13:33:10.000Z

2022-02-08T07:40:30.000Z

mmocr/models/textrecog/recognizer/crnn.py

yangrisheng/mmocr

3ad4a8d3f8d2d22b7854b72ee68a7977a3f3631f

[ "Apache-2.0" ]

null

mmocr/models/textrecog/recognizer/crnn.py

yangrisheng/mmocr

3ad4a8d3f8d2d22b7854b72ee68a7977a3f3631f

[ "Apache-2.0" ]

null

# Copyright (c) OpenMMLab. All rights reserved. from mmocr.models.builder import RECOGNIZERS from .encode_decode_recognizer import EncodeDecodeRecognizer @RECOGNIZERS.register_module() class CRNNNet(EncodeDecodeRecognizer): """CTC-loss based recognizer."""

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null

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1

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5

d4caceab0e3bdb2497fdc18f40c8ce8f6f07360a

225

py

Python

rasa_nlu_examples/featurizers/dense/__init__.py

imanearaf/rasa-nlu-examples

3e3cfc4e743715c9104d5771b14ecfab2a02da11

[ "Apache-2.0" ]

1

2021-05-16T11:53:53.000Z

rasa_nlu_examples/featurizers/dense/__init__.py

anuragshas/rasa-nlu-examples

c16a8e0693355dfe7ea6a865633553999de2fb31

[ "Apache-2.0" ]

null

rasa_nlu_examples/featurizers/dense/__init__.py

anuragshas/rasa-nlu-examples

c16a8e0693355dfe7ea6a865633553999de2fb31

[ "Apache-2.0" ]

null

from .fasttext_featurizer import FastTextFeaturizer from .bpemb_featurizer import BytePairFeaturizer from .gensim_featurizer import GensimFeaturizer __all__ = ["FastTextFeaturizer", "BytePairFeaturizer", "GensimFeaturizer"]

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1

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1

0

null

0

1

0

1

0

5

d4e5344352fe3cd604fcc6855db24bfd680ffdd8

160

py

Python

indico_chat_bot/notifiers/debug.py

pferreir/indico-chat-bot

0f961543d8e74c6951e24d63387a6b9903d7997c

[ "MIT" ]

null

indico_chat_bot/notifiers/debug.py

pferreir/indico-chat-bot

0f961543d8e74c6951e24d63387a6b9903d7997c

[ "MIT" ]

2

2016-09-05T14:08:43.000Z

2016-09-07T08:27:43.000Z

indico_chat_bot/notifiers/debug.py

pferreir/indico-chat-bot

0f961543d8e74c6951e24d63387a6b9903d7997c

[ "MIT" ]

2

2016-08-18T09:20:04.000Z

2016-08-18T09:22:28.000Z

from loguru import logger def notify(bot, channel, text): """Debug notification.""" logger.debug(f"Sending to channel {channel['hook_url']}: {text}")

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160

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1

0

null

0

1

0

1

0

1

0

5

d4f94f9f220309e53b16cc76105edace14d1eb29

72

py

Python

tools/stack.py

bionicles/neuromax

a53a17a1c033c11ac607a9e28f43b1f906e58aad

[ "MIT" ]

null

tools/stack.py

bionicles/neuromax

a53a17a1c033c11ac607a9e28f43b1f906e58aad

[ "MIT" ]

null

tools/stack.py

bionicles/neuromax

a53a17a1c033c11ac607a9e28f43b1f906e58aad

[ "MIT" ]

null

def stack(layer, repeats): return [layer() for _ in range(repeats)]

24

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72

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1

0

null

0

1

0

1

0

5

be154e44f6c20a878e938bb4a2c98cd18a351698

4,917

py

Python

bot/design_demo.py

abbenson/ballbot

44ea6abba026ec47c2dcd79450186d9ea43a9e7d

[ "BSD-2-Clause" ]

null

bot/design_demo.py

abbenson/ballbot

44ea6abba026ec47c2dcd79450186d9ea43a9e7d

[ "BSD-2-Clause" ]

null

bot/design_demo.py

abbenson/ballbot

44ea6abba026ec47c2dcd79450186d9ea43a9e7d

[ "BSD-2-Clause" ]

null

import Adafruit_BBIO.UART as UART import serial import re import pyDMCC # Autodetect DMCC capes dmccs = pyDMCC.autodetect() pitch_power = 0 roll_power = 0 UART.setup("UART1") # Open serial connection to IMU ser = serial.Serial(port="/dev/ttyO1", baudrate=57600) # Demo loop while 1: ser.open() # Take line of readings from IMU ser_str = ser.readline() while ser_str[0] != '#': ser_str = ser.readline() # Parse out float YPR values ser_str = re.findall(r"[+-]? *(?:\d+(?:\.\d*)?|\.\d+)(?:[eE][+-]?\d+)?", ser_str) # Set Pitch Motor # If pitch between -10 and 10 set motor off if -10 < float(ser_str[1]) < 10: if pitch_power != 0: print "Pitch Motor Off" pitch_power = 0 dmccs[0].motors[1].power = pitch_power # If pitch between 10 and 20 set motor 35% elif 10 <= float(ser_str[1]) < 20: if pitch_power != 35: print "Pitch Motor Forward 35%" pitch_power = 35 dmccs[0].motors[1].power = pitch_power # If pitch between 20 and 30 set motor 50% elif 20 <= float(ser_str[1]) < 30: if pitch_power != 50: print "Pitch Motor Forward 50%" pitch_power = 50 dmccs[0].motors[1].power = pitch_power # If pitch between 30 and 40 set motor 75% elif 30 <= float(ser_str[1]) < 40: if pitch_power != 75: print "Pitch Motor Forward 75%" pitch_power = 75 dmccs[0].motors[1].power = pitch_power # If pitch greater than 40 set motor 100% elif float(ser_str[1]) >= 40: if pitch_power != 100: print "Pitch Motor Forward 100%" pitch_power = 100 dmccs[0].motors[1].power = pitch_power # If pitch between -10 and -20 set motor -35% elif -20 < float(ser_str[1]) <= -10: if pitch_power != -35: print "Pitch Motor Reverse 35%" pitch_power = -35 dmccs[0].motors[1].power = pitch_power # If pitch between -20 and -30 set motor -50% elif -30 < float(ser_str[1]) <= -20: if pitch_power != -50: print "Pitch Motor Reverse 50%" pitch_power = -50 dmccs[0].motors[1].power = pitch_power # If pitch between -30 and -40 set motor -75% elif -40 < float(ser_str[1]) <= -30: if pitch_power != -75: print "Pitch Motor Reverse 75%" pitch_power = -75 dmccs[0].motors[1].power = pitch_power # If pitch less than -40 set motor -100% elif float(ser_str[1]) <= -40: if pitch_power != -100: print "Pitch Motor Reverse 100%" pitch_power = -100 dmccs[0].motors[1].power = pitch_power # Set Roll Motor # If roll between -10 and 10 set motor off if -10 < float(ser_str[2]) < 10: if roll_power != 0: print "Roll Motor Off" roll_power = 0 dmccs[0].motors[2].power = roll_power # If roll between 10 and 20 set motor 35% elif 10 <= float(ser_str[2]) < 20: if roll_power != 35: print "Roll Motor Forward 35%" roll_power = 35 dmccs[0].motors[2].power = roll_power # If roll between 20 and 30 set motor 50% elif 20 <= float(ser_str[2]) < 30: if roll_power != 50: print "Roll Motor Forward 50%" roll_power = 50 dmccs[0].motors[2].power = roll_power # If roll between 30 and 40 set motor 75% elif 30 <= float(ser_str[2]) < 40: if roll_power != 75: print "Roll Motor Forward 75%" roll_power = 75 dmccs[0].motors[2].power = roll_power # If roll greater than 40 set motor 100% elif float(ser_str[2]) >= 40: if roll_power != 100: print "Roll Motor Forward 100%" roll_power = 100 dmccs[0].motors[2].power = roll_power # If roll between -10 and -20 set motor -35% elif -20 < float(ser_str[2]) <= -10: if roll_power != -35: print "Roll Motor Reverse 35%" roll_power = -35 dmccs[0].motors[2].power = roll_power # If roll between -20 and -30 set motor -50% elif -30 < float(ser_str[2]) <= -20: if roll_power != -50: print "Roll Motor Reverse 50%" roll_power = -50 dmccs[0].motors[2].power = roll_power # If roll between -30 and -40 set motor -75% elif -40 < float(ser_str[2]) <= -30: if roll_power != -75: print "Roll Motor Reverse 75%" roll_power = -75 dmccs[0].motors[2].power = roll_power # If roll less than -40 set motor -100% elif float(ser_str[2]) <= -40: if roll_power != -100: print "Roll Motor Reverse 100%" roll_power = -100 dmccs[0].motors[2].power = roll_power ser.close()

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1

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null

0

1

0

5

be15f2ae4ee401ab1bc3ea2cf8d3d1c978e31d8c

95

py

Python

food/tag/ingredient.py

jojolebarjos/food-ontology

968e64c1bdbb57b91c2b71ec5360107247b385bb

[ "Unlicense" ]

null

food/tag/ingredient.py

jojolebarjos/food-ontology

968e64c1bdbb57b91c2b71ec5360107247b385bb

[ "Unlicense" ]

null

food/tag/ingredient.py

jojolebarjos/food-ontology

968e64c1bdbb57b91c2b71ec5360107247b385bb

[ "Unlicense" ]

null

# -*- coding: utf-8 -*- # TODO use PoS tags and entities to output ontology-like annotations

19

68

0.694737

14

95

4.714286

1

0

0.012987

0.189474

95

4

69

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0.844156

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0

null

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true

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1

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null

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1

0

1

0

5

0782551f2249c08b21d073c6960720866a9a3123

155

py

Python

fb_vd/scrapping/url_exception.py

vieirafrancisco/fb-vd

6e3ff0a508f8bbb2c07213073557cc466e2a0a28

[ "MIT" ]

1

2019-01-02T18:08:06.000Z

fb_vd/scrapping/url_exception.py

vieirafrancisco/fb-vd

6e3ff0a508f8bbb2c07213073557cc466e2a0a28

[ "MIT" ]

null

fb_vd/scrapping/url_exception.py

vieirafrancisco/fb-vd

6e3ff0a508f8bbb2c07213073557cc466e2a0a28

[ "MIT" ]

null

#-- Personalized Url Exception -- class URLException(Exception): def __init__(self, *args, **kwargs): Exception.__init__(self, *args, **kwargs)

38.75

49

0.683871

16

155

6.125

0.625

0.163265

0.244898

0.367347

0

0.16129

155

4

49

38.75

0.753846

0.206452

0

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null

0

1

0

1

0

null

0

1

0

5

07846110d89df41ca4b1e24be666d526e038e471

140

py

Python

airena/services/__init__.py

en0/ai-battle

3be98b23f06be7c78815643d5e24e8a9fab18f0d

[ "MIT" ]

null

airena/services/__init__.py

en0/ai-battle

3be98b23f06be7c78815643d5e24e8a9fab18f0d

[ "MIT" ]

null

airena/services/__init__.py

en0/ai-battle

3be98b23f06be7c78815643d5e24e8a9fab18f0d

[ "MIT" ]

null

from .object import ObjectService from .message import MessageService from .keyboard import KeyboardService from .clock import ClockService

28

37

0.857143

16

140

7.5

0.625

0

0.114286

140

4

38

35

0.967742

0

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0

true

0

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1

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null

0

1

0

null

0

1

0

1

0

1

0

5

078a9a3900c7b3cf2d79006a6ef394d889e536bb

121

py

Python

build_gpcr/management/commands/build_yaml_from_structure.py

pszgaspar/protwis

4989a67175ef3c95047d795c843cf6b9cf4141fa

[ "Apache-2.0" ]

21

2016-01-20T09:33:14.000Z

2021-12-20T19:19:45.000Z

build_gpcr/management/commands/build_yaml_from_structure.py

pszgaspar/protwis

4989a67175ef3c95047d795c843cf6b9cf4141fa

[ "Apache-2.0" ]

75

2016-02-26T16:29:58.000Z

2022-03-21T12:35:13.000Z

build_gpcr/management/commands/build_yaml_from_structure.py

pszgaspar/protwis

4989a67175ef3c95047d795c843cf6b9cf4141fa

[ "Apache-2.0" ]

77

2016-01-22T08:44:26.000Z

2022-02-01T15:54:56.000Z

from build.management.commands.build_yaml_from_structure import Command as BuildYaml class Command(BuildYaml): pass

24.2

84

0.834711

16

121

6.125

0.75

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0.115702

121

5

85

24.2

0.915888

0

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true

0.333333

0

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1

0

null

0

1

0

null

0

1

0

5

0793420d6b40c4369bb9083a162adf75c6324f68

121

py

Python

devops_backend/__init__.py

asenattime/devops_backend

687cb747339d414b974b8c140736314a84fbd77d

[ "MIT" ]

null

devops_backend/__init__.py

asenattime/devops_backend

687cb747339d414b974b8c140736314a84fbd77d

[ "MIT" ]

null

devops_backend/__init__.py

asenattime/devops_backend

687cb747339d414b974b8c140736314a84fbd77d

[ "MIT" ]

null

from __future__ import absolute_import import pymysql pymysql.install_as_MySQLdb() from .celery import app as celery_app

24.2

38

0.859504

18

121

5.333333

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0

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121

4

39

30.25

0.888889

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0

null

0

1

0

1

0

1

0

5

0799174d12e567f34fea9fba05b4f40ed9155976

139

py

Python

util/unfuck_pythonw.py

RikkaBlue/ArknightsAutoHelper

770d109403bae937efeb59bc6628bd43631e7d1a

[ "MIT" ]

1,035

2019-05-14T11:58:32.000Z

2022-03-16T15:09:53.000Z

util/unfuck_pythonw.py

RikkaBlue/ArknightsAutoHelper

770d109403bae937efeb59bc6628bd43631e7d1a

[ "MIT" ]

209

2019-05-11T13:19:57.000Z

2022-03-12T01:42:11.000Z

util/unfuck_pythonw.py

RikkaBlue/ArknightsAutoHelper

770d109403bae937efeb59bc6628bd43631e7d1a

[ "MIT" ]

254

2019-05-13T09:06:54.000Z

2022-03-16T09:47:44.000Z

import sys import os if sys.stdout is None: sys.stdout = open(os.devnull, 'r+') sys.stderr = sys.stdout sys.stdin = sys.stdout

19.857143

39

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23

139

4

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0

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139

6

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1

0

null

0

1

0

1

0

5

079d2379827a8bcd60e7ba7a39f2178386d4980e

12,810

py

Python

tests/python_client/base/collection_wrapper.py

binbinlv/milvus

8873be6a2b5ccea2d59eccc0c05362ffe673f41f

[ "Apache-2.0" ]

null

tests/python_client/base/collection_wrapper.py

binbinlv/milvus

8873be6a2b5ccea2d59eccc0c05362ffe673f41f

[ "Apache-2.0" ]

null

tests/python_client/base/collection_wrapper.py

binbinlv/milvus

8873be6a2b5ccea2d59eccc0c05362ffe673f41f

[ "Apache-2.0" ]

null

import sys import time from pymilvus import Collection sys.path.append("..") from check.func_check import ResponseChecker from utils.api_request import api_request from utils.util_log import test_log as log from pymilvus.grpc_gen.common_pb2 import ConsistencyLevel TIMEOUT = 20 # keep small timeout for stability tests # TIMEOUT = 5 class ApiCollectionWrapper: collection = None def init_collection(self, name, schema=None, using="default", shards_num=2, check_task=None, check_items=None, **kwargs): consistency_level = kwargs.get("consistency_level", ConsistencyLevel.Strong) kwargs.update({"consistency_level": consistency_level}) """ In order to distinguish the same name of collection """ func_name = sys._getframe().f_code.co_name res, is_succ = api_request([Collection, name, schema, using, shards_num], **kwargs) self.collection = res if is_succ else None check_result = ResponseChecker(res, func_name, check_task, check_items, is_succ, name=name, schema=schema, using=using, shards_num=shards_num, **kwargs).run() return res, check_result @property def schema(self): return self.collection.schema @property def description(self): return self.collection.description @property def name(self): return self.collection.name @property def is_empty(self): return self.collection.is_empty @property def num_entities(self): return self.collection.num_entities @property def primary_field(self): return self.collection.primary_field @property def _shards_num(self): return self.collection._shards_num def construct_from_dataframe(self, name, dataframe, check_task=None, check_items=None, **kwargs): func_name = sys._getframe().f_code.co_name res, is_succ = api_request([Collection.construct_from_dataframe, name, dataframe], **kwargs) self.collection = res[0] if is_succ else None check_result = ResponseChecker(res, func_name, check_task, check_items, is_succ, name=name, dataframe=dataframe, **kwargs).run() return res, check_result def drop(self, check_task=None, check_items=None, **kwargs): timeout = kwargs.get("timeout", TIMEOUT) kwargs.update({"timeout": timeout}) func_name = sys._getframe().f_code.co_name res, check = api_request([self.collection.drop], **kwargs) check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run() return res, check_result def load(self, partition_names=None, check_task=None, check_items=None, **kwargs): timeout = kwargs.get("timeout", TIMEOUT) kwargs.update({"timeout": timeout}) func_name = sys._getframe().f_code.co_name res, check = api_request([self.collection.load, partition_names], **kwargs) check_result = ResponseChecker(res, func_name, check_task, check_items, check, partition_names=partition_names, **kwargs).run() return res, check_result def release(self, check_task=None, check_items=None, **kwargs): timeout = kwargs.get("timeout", TIMEOUT) kwargs.update({"timeout": timeout}) func_name = sys._getframe().f_code.co_name res, check = api_request([self.collection.release], **kwargs) check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run() return res, check_result def insert(self, data, partition_name=None, check_task=None, check_items=None, **kwargs): timeout = kwargs.get("timeout", TIMEOUT) kwargs.update({"timeout": timeout}) func_name = sys._getframe().f_code.co_name res, check = api_request([self.collection.insert, data, partition_name], **kwargs) check_result = ResponseChecker(res, func_name, check_task, check_items, check, dat=data, partition_name=partition_name, **kwargs).run() return res, check_result def search(self, data, anns_field, param, limit, expr=None, partition_names=None, output_fields=None, timeout=None, round_decimal=-1, check_task=None, check_items=None, **kwargs): timeout = TIMEOUT if timeout is None else timeout func_name = sys._getframe().f_code.co_name res, check = api_request([self.collection.search, data, anns_field, param, limit, expr, partition_names, output_fields, timeout, round_decimal], **kwargs) check_result = ResponseChecker(res, func_name, check_task, check_items, check, data=data, anns_field=anns_field, param=param, limit=limit, expr=expr, partition_names=partition_names, output_fields=output_fields, timeout=timeout, **kwargs).run() return res, check_result def query(self, expr, output_fields=None, partition_names=None, timeout=None, check_task=None, check_items=None, **kwargs): # time.sleep(5) timeout = TIMEOUT if timeout is None else timeout func_name = sys._getframe().f_code.co_name res, check = api_request([self.collection.query, expr, output_fields, partition_names, timeout]) check_result = ResponseChecker(res, func_name, check_task, check_items, check, expression=expr, partition_names=partition_names, output_fields=output_fields, timeout=timeout, **kwargs).run() return res, check_result @property def partitions(self): return self.collection.partitions def partition(self, partition_name, check_task=None, check_items=None): func_name = sys._getframe().f_code.co_name res, succ = api_request([self.collection.partition, partition_name]) check_result = ResponseChecker(res, func_name, check_task, check_items, succ, partition_name=partition_name).run() return res, check_result def has_partition(self, partition_name, check_task=None, check_items=None): func_name = sys._getframe().f_code.co_name res, succ = api_request([self.collection.has_partition, partition_name]) check_result = ResponseChecker(res, func_name, check_task, check_items, succ, partition_name=partition_name).run() return res, check_result def drop_partition(self, partition_name, check_task=None, check_items=None, **kwargs): timeout = kwargs.get("timeout", TIMEOUT) kwargs.update({"timeout": timeout}) func_name = sys._getframe().f_code.co_name res, check = api_request([self.collection.drop_partition, partition_name], **kwargs) check_result = ResponseChecker(res, func_name, check_task, check_items, check, partition_name=partition_name, **kwargs).run() return res, check_result def create_partition(self, partition_name, check_task=None, check_items=None, description=""): func_name = sys._getframe().f_code.co_name res, check = api_request([self.collection.create_partition, partition_name, description]) check_result = ResponseChecker(res, func_name, check_task, check_items, check, partition_name=partition_name).run() return res, check_result @property def indexes(self): return self.collection.indexes def index(self, check_task=None, check_items=None): func_name = sys._getframe().f_code.co_name res, check = api_request([self.collection.index]) check_result = ResponseChecker(res, func_name, check_task, check_items, check).run() return res, check_result def create_index(self, field_name, index_params, check_task=None, check_items=None, **kwargs): timeout = kwargs.get("timeout", TIMEOUT * 2) kwargs.update({"timeout": timeout}) func_name = sys._getframe().f_code.co_name res, check = api_request([self.collection.create_index, field_name, index_params], **kwargs) check_result = ResponseChecker(res, func_name, check_task, check_items, check, field_name=field_name, index_params=index_params, **kwargs).run() return res, check_result def has_index(self, check_task=None, check_items=None): func_name = sys._getframe().f_code.co_name res, check = api_request([self.collection.has_index]) check_result = ResponseChecker(res, func_name, check_task, check_items, check).run() return res, check_result def drop_index(self, check_task=None, check_items=None, **kwargs): timeout = kwargs.get("timeout", TIMEOUT) kwargs.update({"timeout": timeout}) func_name = sys._getframe().f_code.co_name res, check = api_request([self.collection.drop_index], **kwargs) check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run() return res, check_result def create_alias(self, alias_name, check_task=None, check_items=None, **kwargs): timeout = kwargs.get("timeout", TIMEOUT) kwargs.update({"timeout": timeout}) func_name = sys._getframe().f_code.co_name res, check = api_request([self.collection.create_alias, alias_name], **kwargs) check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run() return res, check_result def drop_alias(self, alias_name, check_task=None, check_items=None, **kwargs): timeout = kwargs.get("timeout", TIMEOUT) kwargs.update({"timeout": timeout}) func_name = sys._getframe().f_code.co_name res, check = api_request([self.collection.drop_alias, alias_name], **kwargs) check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run() return res, check_result def alter_alias(self, alias_name, check_task=None, check_items=None, **kwargs): timeout = kwargs.get("timeout", TIMEOUT) kwargs.update({"timeout": timeout}) func_name = sys._getframe().f_code.co_name res, check = api_request([self.collection.alter_alias, alias_name], **kwargs) check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run() return res, check_result def delete(self, expr, partition_name=None, timeout=None, check_task=None, check_items=None, **kwargs): timeout = TIMEOUT if timeout is None else timeout func_name = sys._getframe().f_code.co_name res, check = api_request([self.collection.delete, expr, partition_name, timeout], **kwargs) check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run() return res, check_result def compact(self, timeout=None, check_task=None, check_items=None, **kwargs): timeout = TIMEOUT if timeout is None else timeout func_name = sys._getframe().f_code.co_name res, check = api_request([self.collection.compact, timeout], **kwargs) check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run() return res, check_result def get_compaction_state(self, timeout=None, check_task=None, check_items=None, **kwargs): timeout = TIMEOUT if timeout is None else timeout func_name = sys._getframe().f_code.co_name res, check = api_request([self.collection.get_compaction_state, timeout], **kwargs) check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run() return res, check_result def get_compaction_plans(self, timeout=None, check_task=None, check_items=None, **kwargs): timeout = TIMEOUT if timeout is None else timeout func_name = sys._getframe().f_code.co_name res, check = api_request([self.collection.get_compaction_plans, timeout], **kwargs) check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run() return res, check_result def wait_for_compaction_completed(self, timeout=None, **kwargs): timeout = TIMEOUT if timeout is None else timeout res = self.collection.wait_for_compaction_completed(timeout, **kwargs) log.debug(res) return res

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null

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07bbd5787ae12b2087bcb08b40434bb0efe7ca80

107

py

Python

gmailcopy/__main__.py

theSage21/gmailcopy

d3c63eb66a312fa27714b0f915525f6f788335bc

[ "BSD-3-Clause" ]

2

2020-10-21T20:25:13.000Z

2020-10-22T06:40:55.000Z

gmailcopy/__main__.py

theSage21/gmailcopy

d3c63eb66a312fa27714b0f915525f6f788335bc

[ "BSD-3-Clause" ]

null

gmailcopy/__main__.py

theSage21/gmailcopy

d3c63eb66a312fa27714b0f915525f6f788335bc

[ "BSD-3-Clause" ]

null

print( """ Please use one of the following: python -m gmailcopy.core python -m gmailcopy.server """ )

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07c9aaacbd4ad6cdacd28c218d1b2cb2accd332b

49

py

Python

backend/medtagger/api/core/__init__.py

kolszewska/MedTagger

c691c822dd23a9fb402d1314e7fe2e6bde898e9c

[ "Apache-2.0" ]

71

2019-01-31T19:50:31.000Z

2022-02-20T07:36:49.000Z

backend/medtagger/api/core/__init__.py

kolszewska/MedTagger

c691c822dd23a9fb402d1314e7fe2e6bde898e9c

[ "Apache-2.0" ]

379

2019-02-16T19:12:01.000Z

2022-03-11T23:12:24.000Z

backend/medtagger/api/core/__init__.py

kolszewska/MedTagger

c691c822dd23a9fb402d1314e7fe2e6bde898e9c

[ "Apache-2.0" ]

16

2019-01-31T16:44:39.000Z

2022-02-14T15:23:29.000Z

"""Module responsible for all Core endpoints."""

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null

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07dcbfad946e6041155d041ddd60d7dd3bde69c3

66

py

Python

vulcanai/__init__.py

rfratila/Vulcan

a8e0d76dcb487920ed5f0aef5c269b6c61cb41c4

[ "Apache-2.0" ]

13

2017-09-02T15:49:36.000Z

2018-05-18T19:51:52.000Z

vulcanai/__init__.py

priyatharsan/Vulcan

15a196f1b267ec1c9cc88304b93508ca68c94fc1

[ "Apache-2.0" ]

7

2017-09-01T02:09:36.000Z

2018-06-14T20:44:21.000Z

vulcanai/__init__.py

priyatharsan/Vulcan

15a196f1b267ec1c9cc88304b93508ca68c94fc1

[ "Apache-2.0" ]

4

2017-10-14T17:38:53.000Z

2018-05-20T17:41:02.000Z

import net import utils import selu import mnist_loader import ops

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1

0

5

ed0024ff0b9fbe9435bf5125eb690d56d1ecf5ea

21,174

py

Python

cynetworkx/algorithms/tree/mst.py

Viech/cynetworkx

01a37859c67b752392e9e783c949084964eef2cf

[ "BSD-3-Clause" ]

12

2019-07-23T08:07:53.000Z

2022-03-09T06:13:16.000Z

cynetworkx/algorithms/tree/mst.py

Viech/cynetworkx

01a37859c67b752392e9e783c949084964eef2cf

[ "BSD-3-Clause" ]

7

2019-08-30T07:00:00.000Z

2021-12-30T08:02:56.000Z

cynetworkx/algorithms/tree/mst.py

Viech/cynetworkx

01a37859c67b752392e9e783c949084964eef2cf

[ "BSD-3-Clause" ]

5

2020-10-10T03:40:32.000Z

2021-11-23T12:28:53.000Z

# -*- coding: utf-8 -*- # Copyright (C) 2017 NetworkX Developers # Aric Hagberg <hagberg@lanl.gov> # Dan Schult <dschult@colgate.edu> # Pieter Swart <swart@lanl.gov> # Loïc Séguin-C. <loicseguin@gmail.com> # All rights reserved. # BSD license. """ Algorithms for calculating min/max spanning trees/forests. """ from heapq import heappop, heappush from operator import itemgetter from itertools import count from math import isnan import cynetworkx as nx from cynetworkx.utils import UnionFind, not_implemented_for __all__ = [ 'minimum_spanning_edges', 'maximum_spanning_edges', 'minimum_spanning_tree', 'maximum_spanning_tree', ] # @not_implemented_for('multigraph') def boruvka_mst_edges(G, minimum=True, weight='weight', keys=False, data=True, ignore_nan=False): """Iterate over edges of a Borůvka's algorithm min/max spanning tree. Parameters ---------- G : NetworkX Graph The edges of `G` must have distinct weights, otherwise the edges may not form a tree. minimum : bool (default: True) Find the minimum (True) or maximum (False) spanning tree. weight : string (default: 'weight') The name of the edge attribute holding the edge weights. keys : bool (default: True) This argument is ignored since this function is not implemented for multigraphs; it exists only for consistency with the other minimum spanning tree functions. data : bool (default: True) Flag for whether to yield edge attribute dicts. If True, yield edges `(u, v, d)`, where `d` is the attribute dict. If False, yield edges `(u, v)`. ignore_nan : bool (default: False) If a NaN is found as an edge weight normally an exception is raised. If `ignore_nan is True` then that edge is ignored instead. """ # Initialize a forest, assuming initially that it is the discrete # partition of the nodes of the graph. forest = UnionFind(G) def best_edge(component): """Returns the optimum (minimum or maximum) edge on the edge boundary of the given set of nodes. A return value of ``None`` indicates an empty boundary. """ sign = 1 if minimum else -1 minwt = float('inf') boundary = None for e in nx.edge_boundary(G, component, data=True): wt = e[-1].get(weight, 1) * sign if isnan(wt): if ignore_nan: continue msg = "NaN found as an edge weight. Edge %s" raise ValueError(msg % (e,)) if wt < minwt: minwt = wt boundary = e return boundary # Determine the optimum edge in the edge boundary of each component # in the forest. best_edges = (best_edge(component) for component in forest.to_sets()) best_edges = [edge for edge in best_edges if edge is not None] # If each entry was ``None``, that means the graph was disconnected, # so we are done generating the forest. while best_edges: # Determine the optimum edge in the edge boundary of each # component in the forest. # # This must be a sequence, not an iterator. In this list, the # same edge may appear twice, in different orientations (but # that's okay, since a union operation will be called on the # endpoints the first time it is seen, but not the second time). # # Any ``None`` indicates that the edge boundary for that # component was empty, so that part of the forest has been # completed. # # TODO This can be parallelized, both in the outer loop over # each component in the forest and in the computation of the # minimum. (Same goes for the identical lines outside the loop.) best_edges = (best_edge(component) for component in forest.to_sets()) best_edges = [edge for edge in best_edges if edge is not None] # Join trees in the forest using the best edges, and yield that # edge, since it is part of the spanning tree. # # TODO This loop can be parallelized, to an extent (the union # operation must be atomic). for u, v, d in best_edges: if forest[u] != forest[v]: if data: yield u, v, d else: yield u, v forest.union(u, v) def kruskal_mst_edges(G, minimum, weight='weight', keys=True, data=True, ignore_nan=False): """Iterate over edges of a Kruskal's algorithm min/max spanning tree. Parameters ---------- G : NetworkX Graph The graph holding the tree of interest. minimum : bool (default: True) Find the minimum (True) or maximum (False) spanning tree. weight : string (default: 'weight') The name of the edge attribute holding the edge weights. keys : bool (default: True) If `G` is a multigraph, `keys` controls whether edge keys ar yielded. Otherwise `keys` is ignored. data : bool (default: True) Flag for whether to yield edge attribute dicts. If True, yield edges `(u, v, d)`, where `d` is the attribute dict. If False, yield edges `(u, v)`. ignore_nan : bool (default: False) If a NaN is found as an edge weight normally an exception is raised. If `ignore_nan is True` then that edge is ignored instead. """ subtrees = UnionFind() if G.is_multigraph(): edges = G.edges(keys=True, data=True) def filter_nan_edges(edges=edges, weight=weight): sign = 1 if minimum else -1 for u, v, k, d in edges: wt = d.get(weight, 1) * sign if isnan(wt): if ignore_nan: continue msg = "NaN found as an edge weight. Edge %s" raise ValueError(msg % ((u, v, k, d),)) yield wt, u, v, k, d else: edges = G.edges(data=True) def filter_nan_edges(edges=edges, weight=weight): sign = 1 if minimum else -1 for u, v, d in edges: wt = d.get(weight, 1) * sign if isnan(wt): if ignore_nan: continue msg = "NaN found as an edge weight. Edge %s" raise ValueError(msg % ((u, v, d),)) yield wt, u, v, d edges = sorted(filter_nan_edges(), key=itemgetter(0)) # Multigraphs need to handle edge keys in addition to edge data. if G.is_multigraph(): for wt, u, v, k, d in edges: if subtrees[u] != subtrees[v]: if keys: if data: yield u, v, k, d else: yield u, v, k else: if data: yield u, v, d else: yield u, v subtrees.union(u, v) else: for wt, u, v, d in edges: if subtrees[u] != subtrees[v]: if data: yield (u, v, d) else: yield (u, v) subtrees.union(u, v) def prim_mst_edges(G, minimum, weight='weight', keys=True, data=True, ignore_nan=False): """Iterate over edges of Prim's algorithm min/max spanning tree. Parameters ---------- G : NetworkX Graph The graph holding the tree of interest. minimum : bool (default: True) Find the minimum (True) or maximum (False) spanning tree. weight : string (default: 'weight') The name of the edge attribute holding the edge weights. keys : bool (default: True) If `G` is a multigraph, `keys` controls whether edge keys ar yielded. Otherwise `keys` is ignored. data : bool (default: True) Flag for whether to yield edge attribute dicts. If True, yield edges `(u, v, d)`, where `d` is the attribute dict. If False, yield edges `(u, v)`. ignore_nan : bool (default: False) If a NaN is found as an edge weight normally an exception is raised. If `ignore_nan is True` then that edge is ignored instead. """ is_multigraph = G.is_multigraph() push = heappush pop = heappop nodes = list(G) c = count() sign = 1 if minimum else -1 while nodes: u = nodes.pop(0) frontier = [] visited = [u] if is_multigraph: for v, keydict in G.adj[u].items(): for k, d in keydict.items(): wt = d.get(weight, 1) * sign if isnan(wt): if ignore_nan: continue msg = "NaN found as an edge weight. Edge %s" raise ValueError(msg % ((u, v, k, d),)) push(frontier, (wt, next(c), u, v, k, d)) else: for v, d in G.adj[u].items(): wt = d.get(weight, 1) * sign if isnan(wt): if ignore_nan: continue msg = "NaN found as an edge weight. Edge %s" raise ValueError(msg % ((u, v, d),)) push(frontier, (wt, next(c), u, v, d)) while frontier: if is_multigraph: W, _, u, v, k, d = pop(frontier) else: W, _, u, v, d = pop(frontier) if v in visited: continue # Multigraphs need to handle edge keys in addition to edge data. if is_multigraph and keys: if data: yield u, v, k, d else: yield u, v, k else: if data: yield u, v, d else: yield u, v # update frontier visited.append(v) nodes.remove(v) if is_multigraph: for w, keydict in G.adj[v].items(): if w in visited: continue for k2, d2 in keydict.items(): new_weight = d2.get(weight, 1) * sign push(frontier, (new_weight, next(c), v, w, k2, d2)) else: for w, d2 in G.adj[v].items(): if w in visited: continue new_weight = d2.get(weight, 1) * sign push(frontier, (new_weight, next(c), v, w, d2)) ALGORITHMS = { 'boruvka': boruvka_mst_edges, u'borůvka': boruvka_mst_edges, 'kruskal': kruskal_mst_edges, 'prim': prim_mst_edges } # @not_implemented_for('directed') def minimum_spanning_edges(G, algorithm='kruskal', weight='weight', keys=True, data=True, ignore_nan=False): """Generate edges in a minimum spanning forest of an undirected weighted graph. A minimum spanning tree is a subgraph of the graph (a tree) with the minimum sum of edge weights. A spanning forest is a union of the spanning trees for each connected component of the graph. Parameters ---------- G : undirected Graph An undirected graph. If `G` is connected, then the algorithm finds a spanning tree. Otherwise, a spanning forest is found. algorithm : string The algorithm to use when finding a minimum spanning tree. Valid choices are 'kruskal', 'prim', or 'boruvka'. The default is 'kruskal'. weight : string Edge data key to use for weight (default 'weight'). keys : bool Whether to yield edge key in multigraphs in addition to the edge. If `G` is not a multigraph, this is ignored. data : bool, optional If True yield the edge data along with the edge. ignore_nan : bool (default: False) If a NaN is found as an edge weight normally an exception is raised. If `ignore_nan is True` then that edge is ignored instead. Returns ------- edges : iterator An iterator over edges in a maximum spanning tree of `G`. Edges connecting nodes `u` and `v` are represented as tuples: `(u, v, k, d)` or `(u, v, k)` or `(u, v, d)` or `(u, v)` If `G` is a multigraph, `keys` indicates whether the edge key `k` will be reported in the third position in the edge tuple. `data` indicates whether the edge datadict `d` will appear at the end of the edge tuple. If `G` is not a multigraph, the tuples are `(u, v, d)` if `data` is True or `(u, v)` if `data` is False. Examples -------- >>> from cynetworkx.algorithms import tree Find minimum spanning edges by Kruskal's algorithm >>> G = nx.cycle_graph(4) >>> G.add_edge(0, 3, weight=2) >>> mst = tree.minimum_spanning_edges(G, algorithm='kruskal', data=False) >>> edgelist = list(mst) >>> sorted(edgelist) [(0, 1), (1, 2), (2, 3)] Find minimum spanning edges by Prim's algorithm >>> G = nx.cycle_graph(4) >>> G.add_edge(0, 3, weight=2) >>> mst = tree.minimum_spanning_edges(G, algorithm='prim', data=False) >>> edgelist = list(mst) >>> sorted(edgelist) [(0, 1), (1, 2), (2, 3)] Notes ----- For Borůvka's algorithm, each edge must have a weight attribute, and each edge weight must be distinct. For the other algorithms, if the graph edges do not have a weight attribute a default weight of 1 will be used. Modified code from David Eppstein, April 2006 http://www.ics.uci.edu/~eppstein/PADS/ """ try: algo = ALGORITHMS[algorithm] except KeyError: msg = '{} is not a valid choice for an algorithm.'.format(algorithm) raise ValueError(msg) return algo(G, minimum=True, weight=weight, keys=keys, data=data, ignore_nan=ignore_nan) # @not_implemented_for('directed') def maximum_spanning_edges(G, algorithm='kruskal', weight='weight', keys=True, data=True, ignore_nan=False): """Generate edges in a maximum spanning forest of an undirected weighted graph. A maximum spanning tree is a subgraph of the graph (a tree) with the maximum possible sum of edge weights. A spanning forest is a union of the spanning trees for each connected component of the graph. Parameters ---------- G : undirected Graph An undirected graph. If `G` is connected, then the algorithm finds a spanning tree. Otherwise, a spanning forest is found. algorithm : string The algorithm to use when finding a maximum spanning tree. Valid choices are 'kruskal', 'prim', or 'boruvka'. The default is 'kruskal'. weight : string Edge data key to use for weight (default 'weight'). keys : bool Whether to yield edge key in multigraphs in addition to the edge. If `G` is not a multigraph, this is ignored. data : bool, optional If True yield the edge data along with the edge. ignore_nan : bool (default: False) If a NaN is found as an edge weight normally an exception is raised. If `ignore_nan is True` then that edge is ignored instead. Returns ------- edges : iterator An iterator over edges in a maximum spanning tree of `G`. Edges connecting nodes `u` and `v` are represented as tuples: `(u, v, k, d)` or `(u, v, k)` or `(u, v, d)` or `(u, v)` If `G` is a multigraph, `keys` indicates whether the edge key `k` will be reported in the third position in the edge tuple. `data` indicates whether the edge datadict `d` will appear at the end of the edge tuple. If `G` is not a multigraph, the tuples are `(u, v, d)` if `data` is True or `(u, v)` if `data` is False. Examples -------- >>> from cynetworkx.algorithms import tree Find maximum spanning edges by Kruskal's algorithm >>> G = nx.cycle_graph(4) >>> G.add_edge(0, 3, weight=2) >>> mst = tree.maximum_spanning_edges(G, algorithm='kruskal', data=False) >>> edgelist = list(mst) >>> sorted(edgelist) [(0, 1), (0, 3), (1, 2)] Find maximum spanning edges by Prim's algorithm >>> G = nx.cycle_graph(4) >>> G.add_edge(0, 3, weight=2) # assign weight 2 to edge 0-3 >>> mst = tree.maximum_spanning_edges(G, algorithm='prim', data=False) >>> edgelist = list(mst) >>> sorted(edgelist) [(0, 1), (0, 3), (3, 2)] Notes ----- For Borůvka's algorithm, each edge must have a weight attribute, and each edge weight must be distinct. For the other algorithms, if the graph edges do not have a weight attribute a default weight of 1 will be used. Modified code from David Eppstein, April 2006 http://www.ics.uci.edu/~eppstein/PADS/ """ try: algo = ALGORITHMS[algorithm] except KeyError: msg = '{} is not a valid choice for an algorithm.'.format(algorithm) raise ValueError(msg) return algo(G, minimum=False, weight=weight, keys=keys, data=data, ignore_nan=ignore_nan) def minimum_spanning_tree(G, weight='weight', algorithm='kruskal', ignore_nan=False): """Returns a minimum spanning tree or forest on an undirected graph `G`. Parameters ---------- G : undirected graph An undirected graph. If `G` is connected, then the algorithm finds a spanning tree. Otherwise, a spanning forest is found. weight : str Data key to use for edge weights. algorithm : string The algorithm to use when finding a minimum spanning tree. Valid choices are 'kruskal', 'prim', or 'boruvka'. The default is 'kruskal'. ignore_nan : bool (default: False) If a NaN is found as an edge weight normally an exception is raised. If `ignore_nan is True` then that edge is ignored instead. Returns ------- G : NetworkX Graph A minimum spanning tree or forest. Examples -------- >>> G = nx.cycle_graph(4) >>> G.add_edge(0, 3, weight=2) >>> T = nx.minimum_spanning_tree(G) >>> sorted(T.edges(data=True)) [(0, 1, {}), (1, 2, {}), (2, 3, {})] Notes ----- For Borůvka's algorithm, each edge must have a weight attribute, and each edge weight must be distinct. For the other algorithms, if the graph edges do not have a weight attribute a default weight of 1 will be used. There may be more than one tree with the same minimum or maximum weight. See :mod:`cynetworkx.tree.recognition` for more detailed definitions. Isolated nodes with self-loops are in the tree as edgeless isolated nodes. """ edges = minimum_spanning_edges(G, algorithm, weight, keys=True, data=True, ignore_nan=ignore_nan) T = G.fresh_copy() # Same graph class as G T.graph.update(G.graph) T.add_nodes_from(G.nodes.items()) T.add_edges_from(edges) return T def maximum_spanning_tree(G, weight='weight', algorithm='kruskal', ignore_nan=False): """Returns a maximum spanning tree or forest on an undirected graph `G`. Parameters ---------- G : undirected graph An undirected graph. If `G` is connected, then the algorithm finds a spanning tree. Otherwise, a spanning forest is found. weight : str Data key to use for edge weights. algorithm : string The algorithm to use when finding a minimum spanning tree. Valid choices are 'kruskal', 'prim', or 'boruvka'. The default is 'kruskal'. ignore_nan : bool (default: False) If a NaN is found as an edge weight normally an exception is raised. If `ignore_nan is True` then that edge is ignored instead. Returns ------- G : NetworkX Graph A minimum spanning tree or forest. Examples -------- >>> G = nx.cycle_graph(4) >>> G.add_edge(0, 3, weight=2) >>> T = nx.maximum_spanning_tree(G) >>> sorted(T.edges(data=True)) [(0, 1, {}), (0, 3, {'weight': 2}), (1, 2, {})] Notes ----- For Borůvka's algorithm, each edge must have a weight attribute, and each edge weight must be distinct. For the other algorithms, if the graph edges do not have a weight attribute a default weight of 1 will be used. There may be more than one tree with the same minimum or maximum weight. See :mod:`cynetworkx.tree.recognition` for more detailed definitions. Isolated nodes with self-loops are in the tree as edgeless isolated nodes. """ edges = maximum_spanning_edges(G, algorithm, weight, keys=True, data=True, ignore_nan=ignore_nan) edges = list(edges) T = G.fresh_copy() # Same graph class as G T.graph.update(G.graph) T.add_nodes_from(G.nodes.items()) T.add_edges_from(edges) return T

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null

0

1

0

null

0

5

ed023faaba2a5a57a583c53dcfb298a374fdc8f8

1,131

py

Python

tests/test_requests_support.py

JFF-Bohdan/vrc_t70

cdc3cc7eeee1fc4f73f255fae7469ff57a6530ec

[ "MIT" ]

null

tests/test_requests_support.py

JFF-Bohdan/vrc_t70

cdc3cc7eeee1fc4f73f255fae7469ff57a6530ec

[ "MIT" ]

null

tests/test_requests_support.py

JFF-Bohdan/vrc_t70

cdc3cc7eeee1fc4f73f255fae7469ff57a6530ec

[ "MIT" ]

null

import binascii from vrc_t70.request import VrcT70Request def test_ping_request_to_01(): expected_result = "01012233000A" cmd = VrcT70Request(0x01, 0x01, 0x2233) cmd = cmd.to_bytearray() res = binascii.hexlify(cmd).decode("ascii") assert res.lower() == expected_result.lower() def test_ping_request_to_07(): expected_result = "070122330014" cmd = VrcT70Request(0x07, 0x01, 0x2233) cmd = cmd.to_bytearray() res = binascii.hexlify(cmd).decode("ascii") assert res.lower() == expected_result.lower() def test_ping_with_fake_payload(): expected_result = "07012233030102039A" cmd = VrcT70Request(0x07, 0x01, 0x2233) cmd.data = bytearray([0x01, 0x02, 0x03]) cmd = cmd.to_bytearray() res = binascii.hexlify(cmd).decode("ascii") assert res.lower() == expected_result.lower() def test_convert_to_bytes(): expected_result = "07012233030102039A" cmd = VrcT70Request(0x07, 0x01, 0x2233) cmd.data = bytearray([0x01, 0x02, 0x03]) cmd = bytes(cmd) res = binascii.hexlify(cmd).decode("ascii") assert res.lower() == expected_result.lower()

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0

5

ed04654767315d88ba87e44a4584b630457dae82

65,178

py

Python

test/test_pipeline.py

thimo72/haystack

85571cdd15f1c9592cf28121187ffef7d4827f83

[ "Apache-2.0" ]

null

test/test_pipeline.py

thimo72/haystack

85571cdd15f1c9592cf28121187ffef7d4827f83

[ "Apache-2.0" ]

null

test/test_pipeline.py

thimo72/haystack

85571cdd15f1c9592cf28121187ffef7d4827f83

[ "Apache-2.0" ]

null

from pathlib import Path import os import json from typing import Tuple from unittest.mock import Mock import pandas as pd import pytest from requests import PreparedRequest import responses import yaml from haystack import __version__, Document, Answer, JoinAnswers from haystack.document_stores.base import BaseDocumentStore from haystack.document_stores.deepsetcloud import DeepsetCloudDocumentStore from haystack.document_stores.elasticsearch import ElasticsearchDocumentStore from haystack.nodes.other.join_docs import JoinDocuments from haystack.nodes.base import BaseComponent from haystack.nodes.retriever.base import BaseRetriever from haystack.nodes.retriever.sparse import ElasticsearchRetriever from haystack.pipelines import Pipeline, DocumentSearchPipeline, RootNode, ExtractiveQAPipeline from haystack.pipelines.config import _validate_user_input, validate_config from haystack.pipelines.utils import generate_code from haystack.nodes import DensePassageRetriever, EmbeddingRetriever, RouteDocuments, PreProcessor, TextConverter from conftest import MOCK_DC, DC_API_ENDPOINT, DC_API_KEY, DC_TEST_INDEX, SAMPLES_PATH, deepset_cloud_fixture from haystack.utils.deepsetcloud import DeepsetCloudError class ParentComponent(BaseComponent): outgoing_edges = 1 def __init__(self, dependent: BaseComponent) -> None: super().__init__() self.set_config(dependent=dependent) class ParentComponent2(BaseComponent): outgoing_edges = 1 def __init__(self, dependent: BaseComponent) -> None: super().__init__() self.set_config(dependent=dependent) class ChildComponent(BaseComponent): def __init__(self, some_key: str = None) -> None: super().__init__() self.set_config(some_key=some_key) @pytest.mark.elasticsearch @pytest.mark.parametrize("document_store", ["elasticsearch"], indirect=True) def test_load_and_save_yaml(document_store, tmp_path): # test correct load of indexing pipeline from yaml pipeline = Pipeline.load_from_yaml( SAMPLES_PATH / "pipeline" / "test_pipeline.yaml", pipeline_name="indexing_pipeline" ) pipeline.run(file_paths=SAMPLES_PATH / "pdf" / "sample_pdf_1.pdf") # test correct load of query pipeline from yaml pipeline = Pipeline.load_from_yaml(SAMPLES_PATH / "pipeline" / "test_pipeline.yaml", pipeline_name="query_pipeline") prediction = pipeline.run( query="Who made the PDF specification?", params={"ESRetriever": {"top_k": 10}, "Reader": {"top_k": 3}} ) assert prediction["query"] == "Who made the PDF specification?" assert prediction["answers"][0].answer == "Adobe Systems" assert "_debug" not in prediction.keys() # test invalid pipeline name with pytest.raises(Exception): Pipeline.load_from_yaml(path=SAMPLES_PATH / "pipeline" / "test_pipeline.yaml", pipeline_name="invalid") # test config export pipeline.save_to_yaml(tmp_path / "test.yaml") with open(tmp_path / "test.yaml", "r", encoding="utf-8") as stream: saved_yaml = stream.read() expected_yaml = f""" components: - name: ESRetriever params: document_store: ElasticsearchDocumentStore type: ElasticsearchRetriever - name: ElasticsearchDocumentStore params: index: haystack_test label_index: haystack_test_label type: ElasticsearchDocumentStore - name: Reader params: model_name_or_path: deepset/roberta-base-squad2 no_ans_boost: -10 num_processes: 0 type: FARMReader pipelines: - name: query nodes: - inputs: - Query name: ESRetriever - inputs: - ESRetriever name: Reader type: Pipeline version: {__version__} """ assert saved_yaml.replace(" ", "").replace("\n", "") == expected_yaml.replace(" ", "").replace("\n", "") @pytest.mark.elasticsearch @pytest.mark.parametrize("document_store", ["elasticsearch"], indirect=True) def test_load_and_save_yaml_prebuilt_pipelines(document_store, tmp_path): # populating index pipeline = Pipeline.load_from_yaml( SAMPLES_PATH / "pipeline" / "test_pipeline.yaml", pipeline_name="indexing_pipeline" ) pipeline.run(file_paths=SAMPLES_PATH / "pdf" / "sample_pdf_1.pdf") # test correct load of query pipeline from yaml pipeline = ExtractiveQAPipeline.load_from_yaml( SAMPLES_PATH / "pipeline" / "test_pipeline.yaml", pipeline_name="query_pipeline" ) prediction = pipeline.run( query="Who made the PDF specification?", params={"ESRetriever": {"top_k": 10}, "Reader": {"top_k": 3}} ) assert prediction["query"] == "Who made the PDF specification?" assert prediction["answers"][0].answer == "Adobe Systems" assert "_debug" not in prediction.keys() # test invalid pipeline name with pytest.raises(Exception): ExtractiveQAPipeline.load_from_yaml( path=SAMPLES_PATH / "pipeline" / "test_pipeline.yaml", pipeline_name="invalid" ) # test config export pipeline.save_to_yaml(tmp_path / "test.yaml") with open(tmp_path / "test.yaml", "r", encoding="utf-8") as stream: saved_yaml = stream.read() expected_yaml = f""" components: - name: ESRetriever params: document_store: ElasticsearchDocumentStore type: ElasticsearchRetriever - name: ElasticsearchDocumentStore params: index: haystack_test label_index: haystack_test_label type: ElasticsearchDocumentStore - name: Reader params: model_name_or_path: deepset/roberta-base-squad2 no_ans_boost: -10 num_processes: 0 type: FARMReader pipelines: - name: query nodes: - inputs: - Query name: ESRetriever - inputs: - ESRetriever name: Reader type: Pipeline version: {__version__} """ assert saved_yaml.replace(" ", "").replace("\n", "") == expected_yaml.replace(" ", "").replace("\n", "") def test_load_tfidfretriever_yaml(tmp_path): documents = [ { "content": "A Doc specifically talking about haystack. Haystack can be used to scale QA models to large document collections." } ] pipeline = Pipeline.load_from_yaml( SAMPLES_PATH / "pipeline" / "test_pipeline_tfidfretriever.yaml", pipeline_name="query_pipeline" ) with pytest.raises(Exception) as exc_info: pipeline.run( query="What can be used to scale QA models to large document collections?", params={"Retriever": {"top_k": 10}, "Reader": {"top_k": 3}}, ) exception_raised = str(exc_info.value) assert "Retrieval requires dataframe df and tf-idf matrix" in exception_raised pipeline.get_node(name="Retriever").document_store.write_documents(documents=documents) prediction = pipeline.run( query="What can be used to scale QA models to large document collections?", params={"Retriever": {"top_k": 10}, "Reader": {"top_k": 3}}, ) assert prediction["query"] == "What can be used to scale QA models to large document collections?" assert prediction["answers"][0].answer == "haystack" @pytest.mark.elasticsearch def test_to_code_creates_same_pipelines(): index_pipeline = Pipeline.load_from_yaml( SAMPLES_PATH / "pipeline" / "test_pipeline.yaml", pipeline_name="indexing_pipeline" ) query_pipeline = Pipeline.load_from_yaml( SAMPLES_PATH / "pipeline" / "test_pipeline.yaml", pipeline_name="query_pipeline" ) query_pipeline_code = query_pipeline.to_code(pipeline_variable_name="query_pipeline_from_code") index_pipeline_code = index_pipeline.to_code(pipeline_variable_name="index_pipeline_from_code") exec(query_pipeline_code) exec(index_pipeline_code) assert locals()["query_pipeline_from_code"] is not None assert locals()["index_pipeline_from_code"] is not None assert query_pipeline.get_config() == locals()["query_pipeline_from_code"].get_config() assert index_pipeline.get_config() == locals()["index_pipeline_from_code"].get_config() def test_get_config_creates_dependent_component(): child = ChildComponent() parent = ParentComponent(dependent=child) pipeline = Pipeline() pipeline.add_node(component=parent, name="parent", inputs=["Query"]) expected_pipelines = [{"name": "query", "type": "Pipeline", "nodes": [{"name": "parent", "inputs": ["Query"]}]}] expected_components = [ {"name": "parent", "type": "ParentComponent", "params": {"dependent": "ChildComponent"}}, {"name": "ChildComponent", "type": "ChildComponent", "params": {}}, ] config = pipeline.get_config() for expected_pipeline in expected_pipelines: assert expected_pipeline in config["pipelines"] for expected_component in expected_components: assert expected_component in config["components"] def test_get_config_creates_only_one_dependent_component_referenced_by_multiple_parents(): child = ChildComponent() parent = ParentComponent(dependent=child) parent2 = ParentComponent2(dependent=child) p_ensemble = Pipeline() p_ensemble.add_node(component=parent, name="Parent1", inputs=["Query"]) p_ensemble.add_node(component=parent2, name="Parent2", inputs=["Query"]) p_ensemble.add_node(component=JoinDocuments(join_mode="merge"), name="JoinResults", inputs=["Parent1", "Parent2"]) expected_components = [ {"name": "Parent1", "type": "ParentComponent", "params": {"dependent": "ChildComponent"}}, {"name": "ChildComponent", "type": "ChildComponent", "params": {}}, {"name": "Parent2", "type": "ParentComponent2", "params": {"dependent": "ChildComponent"}}, {"name": "JoinResults", "type": "JoinDocuments", "params": {"join_mode": "merge"}}, ] expected_pipelines = [ { "name": "query", "type": "Pipeline", "nodes": [ {"name": "Parent1", "inputs": ["Query"]}, {"name": "Parent2", "inputs": ["Query"]}, {"name": "JoinResults", "inputs": ["Parent1", "Parent2"]}, ], } ] config = p_ensemble.get_config() for expected_pipeline in expected_pipelines: assert expected_pipeline in config["pipelines"] for expected_component in expected_components: assert expected_component in config["components"] def test_get_config_creates_two_different_dependent_components_of_same_type(): child_a = ChildComponent(some_key="A") child_b = ChildComponent(some_key="B") parent = ParentComponent(dependent=child_a) parent2 = ParentComponent(dependent=child_b) p_ensemble = Pipeline() p_ensemble.add_node(component=parent, name="ParentA", inputs=["Query"]) p_ensemble.add_node(component=parent2, name="ParentB", inputs=["Query"]) p_ensemble.add_node(component=JoinDocuments(join_mode="merge"), name="JoinResults", inputs=["ParentA", "ParentB"]) expected_components = [ {"name": "ParentA", "type": "ParentComponent", "params": {"dependent": "ChildComponent"}}, {"name": "ChildComponent", "type": "ChildComponent", "params": {"some_key": "A"}}, {"name": "ParentB", "type": "ParentComponent", "params": {"dependent": "ChildComponent_2"}}, {"name": "ChildComponent_2", "type": "ChildComponent", "params": {"some_key": "B"}}, {"name": "JoinResults", "type": "JoinDocuments", "params": {"join_mode": "merge"}}, ] expected_pipelines = [ { "name": "query", "type": "Pipeline", "nodes": [ {"name": "ParentA", "inputs": ["Query"]}, {"name": "ParentB", "inputs": ["Query"]}, {"name": "JoinResults", "inputs": ["ParentA", "ParentB"]}, ], } ] config = p_ensemble.get_config() for expected_pipeline in expected_pipelines: assert expected_pipeline in config["pipelines"] for expected_component in expected_components: assert expected_component in config["components"] def test_generate_code_simple_pipeline(): config = { "components": [ { "name": "retri", "type": "ElasticsearchRetriever", "params": {"document_store": "ElasticsearchDocumentStore", "top_k": 20}, }, { "name": "ElasticsearchDocumentStore", "type": "ElasticsearchDocumentStore", "params": {"index": "my-index"}, }, ], "pipelines": [{"name": "query", "type": "Pipeline", "nodes": [{"name": "retri", "inputs": ["Query"]}]}], } code = generate_code(pipeline_config=config, pipeline_variable_name="p", generate_imports=False) assert code == ( 'elasticsearch_document_store = ElasticsearchDocumentStore(index="my-index")\n' "retri = ElasticsearchRetriever(document_store=elasticsearch_document_store, top_k=20)\n" "\n" "p = Pipeline()\n" 'p.add_node(component=retri, name="retri", inputs=["Query"])' ) def test_generate_code_imports(): pipeline_config = { "components": [ {"name": "DocumentStore", "type": "ElasticsearchDocumentStore"}, {"name": "retri", "type": "ElasticsearchRetriever", "params": {"document_store": "DocumentStore"}}, {"name": "retri2", "type": "EmbeddingRetriever", "params": {"document_store": "DocumentStore"}}, ], "pipelines": [ { "name": "Query", "type": "Pipeline", "nodes": [{"name": "retri", "inputs": ["Query"]}, {"name": "retri2", "inputs": ["Query"]}], } ], } code = generate_code(pipeline_config=pipeline_config, pipeline_variable_name="p", generate_imports=True) assert code == ( "from haystack.document_stores import ElasticsearchDocumentStore\n" "from haystack.nodes import ElasticsearchRetriever, EmbeddingRetriever\n" "from haystack.pipelines import Pipeline\n" "\n" "document_store = ElasticsearchDocumentStore()\n" "retri = ElasticsearchRetriever(document_store=document_store)\n" "retri_2 = EmbeddingRetriever(document_store=document_store)\n" "\n" "p = Pipeline()\n" 'p.add_node(component=retri, name="retri", inputs=["Query"])\n' 'p.add_node(component=retri_2, name="retri2", inputs=["Query"])' ) def test_generate_code_imports_no_pipeline_cls(): pipeline_config = { "components": [ {"name": "DocumentStore", "type": "ElasticsearchDocumentStore"}, {"name": "retri", "type": "ElasticsearchRetriever", "params": {"document_store": "DocumentStore"}}, ], "pipelines": [{"name": "Query", "type": "Pipeline", "nodes": [{"name": "retri", "inputs": ["Query"]}]}], } code = generate_code( pipeline_config=pipeline_config, pipeline_variable_name="p", generate_imports=True, add_pipeline_cls_import=False, ) assert code == ( "from haystack.document_stores import ElasticsearchDocumentStore\n" "from haystack.nodes import ElasticsearchRetriever\n" "\n" "document_store = ElasticsearchDocumentStore()\n" "retri = ElasticsearchRetriever(document_store=document_store)\n" "\n" "p = Pipeline()\n" 'p.add_node(component=retri, name="retri", inputs=["Query"])' ) def test_generate_code_comment(): pipeline_config = { "components": [ {"name": "DocumentStore", "type": "ElasticsearchDocumentStore"}, {"name": "retri", "type": "ElasticsearchRetriever", "params": {"document_store": "DocumentStore"}}, ], "pipelines": [{"name": "Query", "type": "Pipeline", "nodes": [{"name": "retri", "inputs": ["Query"]}]}], } comment = "This is my comment\n...and here is a new line" code = generate_code(pipeline_config=pipeline_config, pipeline_variable_name="p", comment=comment) assert code == ( "# This is my comment\n" "# ...and here is a new line\n" "from haystack.document_stores import ElasticsearchDocumentStore\n" "from haystack.nodes import ElasticsearchRetriever\n" "from haystack.pipelines import Pipeline\n" "\n" "document_store = ElasticsearchDocumentStore()\n" "retri = ElasticsearchRetriever(document_store=document_store)\n" "\n" "p = Pipeline()\n" 'p.add_node(component=retri, name="retri", inputs=["Query"])' ) def test_generate_code_is_component_order_invariant(): pipeline_config = { "pipelines": [ { "name": "Query", "type": "Pipeline", "nodes": [ {"name": "EsRetriever", "inputs": ["Query"]}, {"name": "EmbeddingRetriever", "inputs": ["Query"]}, {"name": "JoinResults", "inputs": ["EsRetriever", "EmbeddingRetriever"]}, ], } ] } doc_store = {"name": "ElasticsearchDocumentStore", "type": "ElasticsearchDocumentStore"} es_retriever = { "name": "EsRetriever", "type": "ElasticsearchRetriever", "params": {"document_store": "ElasticsearchDocumentStore"}, } emb_retriever = { "name": "EmbeddingRetriever", "type": "EmbeddingRetriever", "params": { "document_store": "ElasticsearchDocumentStore", "embedding_model": "sentence-transformers/all-MiniLM-L6-v2", }, } join_node = {"name": "JoinResults", "type": "JoinDocuments"} component_orders = [ [doc_store, es_retriever, emb_retriever, join_node], [es_retriever, emb_retriever, join_node, doc_store], [join_node, es_retriever, emb_retriever, doc_store], ] expected_code = ( "elasticsearch_document_store = ElasticsearchDocumentStore()\n" "es_retriever = ElasticsearchRetriever(document_store=elasticsearch_document_store)\n" 'embedding_retriever = EmbeddingRetriever(document_store=elasticsearch_document_store, embedding_model="sentence-transformers/all-MiniLM-L6-v2")\n' "join_results = JoinDocuments()\n" "\n" "p = Pipeline()\n" 'p.add_node(component=es_retriever, name="EsRetriever", inputs=["Query"])\n' 'p.add_node(component=embedding_retriever, name="EmbeddingRetriever", inputs=["Query"])\n' 'p.add_node(component=join_results, name="JoinResults", inputs=["EsRetriever", "EmbeddingRetriever"])' ) for components in component_orders: pipeline_config["components"] = components code = generate_code(pipeline_config=pipeline_config, pipeline_variable_name="p", generate_imports=False) assert code == expected_code @pytest.mark.parametrize("input", ["\btest", " test", "#test", "+test", "\ttest", "\ntest", "test()"]) def test_validate_user_input_invalid(input): with pytest.raises(ValueError, match="is not a valid config variable name"): _validate_user_input(input) @pytest.mark.parametrize( "input", ["test", "testName", "test_name", "test-name", "test-name1234", "http://localhost:8000/my-path"] ) def test_validate_user_input_valid(input): _validate_user_input(input) def test_validate_pipeline_config_invalid_component_name(): with pytest.raises(ValueError, match="is not a valid config variable name"): validate_config({"components": [{"name": "\btest"}]}) def test_validate_pipeline_config_invalid_component_type(): with pytest.raises(ValueError, match="is not a valid config variable name"): validate_config({"components": [{"name": "test", "type": "\btest"}]}) def test_validate_pipeline_config_invalid_component_param(): with pytest.raises(ValueError, match="is not a valid config variable name"): validate_config({"components": [{"name": "test", "type": "test", "params": {"key": "\btest"}}]}) def test_validate_pipeline_config_invalid_component_param_key(): with pytest.raises(ValueError, match="is not a valid config variable name"): validate_config({"components": [{"name": "test", "type": "test", "params": {"\btest": "test"}}]}) def test_validate_pipeline_config_invalid_pipeline_name(): with pytest.raises(ValueError, match="is not a valid config variable name"): validate_config({"components": [{"name": "test", "type": "test"}], "pipelines": [{"name": "\btest"}]}) def test_validate_pipeline_config_invalid_pipeline_type(): with pytest.raises(ValueError, match="is not a valid config variable name"): validate_config( {"components": [{"name": "test", "type": "test"}], "pipelines": [{"name": "test", "type": "\btest"}]} ) def test_validate_pipeline_config_invalid_pipeline_node_name(): with pytest.raises(ValueError, match="is not a valid config variable name"): validate_config( { "components": [{"name": "test", "type": "test"}], "pipelines": [{"name": "test", "type": "test", "nodes": [{"name": "\btest"}]}], } ) def test_validate_pipeline_config_invalid_pipeline_node_inputs(): with pytest.raises(ValueError, match="is not a valid config variable name"): validate_config( { "components": [{"name": "test", "type": "test"}], "pipelines": [{"name": "test", "type": "test", "nodes": [{"name": "test", "inputs": ["\btest"]}]}], } ) @pytest.mark.usefixtures(deepset_cloud_fixture.__name__) @responses.activate def test_load_from_deepset_cloud_query(): if MOCK_DC: with open(SAMPLES_PATH / "dc" / "pipeline_config.json", "r") as f: pipeline_config_yaml_response = json.load(f) responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/{DC_TEST_INDEX}/json", json=pipeline_config_yaml_response, status=200, ) responses.add( method=responses.POST, url=f"{DC_API_ENDPOINT}/workspaces/default/indexes/{DC_TEST_INDEX}/documents-query", json=[{"id": "test_doc", "content": "man on hores"}], status=200, ) query_pipeline = Pipeline.load_from_deepset_cloud( pipeline_config_name=DC_TEST_INDEX, api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY ) retriever = query_pipeline.get_node("Retriever") document_store = retriever.document_store assert isinstance(retriever, ElasticsearchRetriever) assert isinstance(document_store, DeepsetCloudDocumentStore) assert document_store == query_pipeline.get_document_store() prediction = query_pipeline.run(query="man on horse", params={}) assert prediction["query"] == "man on horse" assert len(prediction["documents"]) == 1 assert prediction["documents"][0].id == "test_doc" @pytest.mark.usefixtures(deepset_cloud_fixture.__name__) @responses.activate def test_load_from_deepset_cloud_indexing(): if MOCK_DC: with open(SAMPLES_PATH / "dc" / "pipeline_config.json", "r") as f: pipeline_config_yaml_response = json.load(f) responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/{DC_TEST_INDEX}/json", json=pipeline_config_yaml_response, status=200, ) indexing_pipeline = Pipeline.load_from_deepset_cloud( pipeline_config_name=DC_TEST_INDEX, api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY, pipeline_name="indexing" ) document_store = indexing_pipeline.get_node("DocumentStore") assert isinstance(document_store, DeepsetCloudDocumentStore) with pytest.raises( Exception, match=".*NotImplementedError.*DeepsetCloudDocumentStore currently does not support writing documents" ): indexing_pipeline.run(file_paths=[SAMPLES_PATH / "docs" / "doc_1.txt"]) @pytest.mark.usefixtures(deepset_cloud_fixture.__name__) @responses.activate def test_list_pipelines_on_deepset_cloud(): if MOCK_DC: responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines", json={ "data": [ { "name": "test_pipeline_config", "pipeline_id": "2184e0c1-c6ec-40a1-9b28-5d2768e5efa2", "status": "DEPLOYED", "created_at": "2022-02-01T09:57:03.803991+00:00", "deleted": False, "is_default": False, "indexing": {"status": "IN_PROGRESS", "pending_file_count": 4, "total_file_count": 33}, } ], "has_more": False, "total": 1, }, status=200, ) pipelines = Pipeline.list_pipelines_on_deepset_cloud(api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY) assert len(pipelines) == 1 assert pipelines[0]["name"] == "test_pipeline_config" @pytest.mark.usefixtures(deepset_cloud_fixture.__name__) @responses.activate def test_save_to_deepset_cloud(): if MOCK_DC: responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_pipeline_config", json={ "name": "test_pipeline_config", "pipeline_id": "2184e9c1-c6ec-40a1-9b28-5d2768e5efa2", "status": "UNDEPLOYED", "created_at": "2022-02-01T09:57:03.803991+00:00", "deleted": False, "is_default": False, "indexing": {"status": "IN_PROGRESS", "pending_file_count": 4, "total_file_count": 33}, }, status=200, ) responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_pipeline_config_deployed", json={ "name": "test_pipeline_config_deployed", "pipeline_id": "8184e0c1-c6ec-40a1-9b28-5d2768e5efa3", "status": "DEPLOYED", "created_at": "2022-02-09T09:57:03.803991+00:00", "deleted": False, "is_default": False, "indexing": {"status": "INDEXED", "pending_file_count": 0, "total_file_count": 33}, }, status=200, ) responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_pipeline_config_copy", json={"errors": ["Pipeline with the name test_pipeline_config_copy does not exists."]}, status=404, ) with open(SAMPLES_PATH / "dc" / "pipeline_config.json", "r") as f: pipeline_config_yaml_response = json.load(f) responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/{DC_TEST_INDEX}/json", json=pipeline_config_yaml_response, status=200, ) responses.add( method=responses.POST, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines", json={"name": "test_pipeline_config_copy"}, status=200, ) responses.add( method=responses.PUT, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_pipeline_config/yaml", json={"name": "test_pipeline_config"}, status=200, ) responses.add( method=responses.PUT, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_pipeline_config_deployed/yaml", json={"errors": ["Updating the pipeline yaml is not allowed for pipelines with status: 'DEPLOYED'"]}, status=406, ) query_pipeline = Pipeline.load_from_deepset_cloud( pipeline_config_name=DC_TEST_INDEX, api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY ) index_pipeline = Pipeline.load_from_deepset_cloud( pipeline_config_name=DC_TEST_INDEX, api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY, pipeline_name="indexing" ) Pipeline.save_to_deepset_cloud( query_pipeline=query_pipeline, index_pipeline=index_pipeline, pipeline_config_name="test_pipeline_config_copy", api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY, ) with pytest.raises( ValueError, match="Pipeline config 'test_pipeline_config' already exists. Set `overwrite=True` to overwrite pipeline config", ): Pipeline.save_to_deepset_cloud( query_pipeline=query_pipeline, index_pipeline=index_pipeline, pipeline_config_name="test_pipeline_config", api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY, ) Pipeline.save_to_deepset_cloud( query_pipeline=query_pipeline, index_pipeline=index_pipeline, pipeline_config_name="test_pipeline_config", api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY, overwrite=True, ) with pytest.raises( ValueError, match="Deployed pipeline configs are not allowed to be updated. Please undeploy pipeline config 'test_pipeline_config_deployed' first", ): Pipeline.save_to_deepset_cloud( query_pipeline=query_pipeline, index_pipeline=index_pipeline, pipeline_config_name="test_pipeline_config_deployed", api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY, overwrite=True, ) @pytest.mark.elasticsearch @pytest.mark.usefixtures(deepset_cloud_fixture.__name__) @responses.activate def test_save_nonexisting_pipeline_to_deepset_cloud(): if MOCK_DC: def dc_document_store_matcher(request: PreparedRequest) -> Tuple[bool, str]: matches = False reason = "No DeepsetCloudDocumentStore found." request_body = request.body or "" json_body = yaml.safe_load(request_body) components = json_body["components"] for component in components: if component["type"].endswith("DocumentStore"): if component["type"] == "DeepsetCloudDocumentStore": matches = True else: matches = False reason = f"Component {component['name']} is of type {component['type']} and not DeepsetCloudDocumentStore" break return matches, reason responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline", json={"errors": ["Pipeline with the name test_pipeline_config_copy does not exists."]}, status=404, ) responses.add( method=responses.POST, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines", json={"name": "test_new_non_existing_pipeline"}, status=201, match=[dc_document_store_matcher], ) es_document_store = ElasticsearchDocumentStore() es_retriever = ElasticsearchRetriever(document_store=es_document_store) file_converter = TextConverter() preprocessor = PreProcessor() query_pipeline = Pipeline() query_pipeline.add_node(component=es_retriever, name="Retriever", inputs=["Query"]) index_pipeline = Pipeline() index_pipeline.add_node(component=file_converter, name="FileConverter", inputs=["File"]) index_pipeline.add_node(component=preprocessor, name="Preprocessor", inputs=["FileConverter"]) index_pipeline.add_node(component=es_document_store, name="DocumentStore", inputs=["Preprocessor"]) Pipeline.save_to_deepset_cloud( query_pipeline=query_pipeline, index_pipeline=index_pipeline, pipeline_config_name="test_new_non_existing_pipeline", api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY, ) @pytest.mark.usefixtures(deepset_cloud_fixture.__name__) @responses.activate def test_deploy_on_deepset_cloud_non_existing_pipeline(): if MOCK_DC: responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline", json={"errors": ["Pipeline with the name test_pipeline_config_copy does not exists."]}, status=404, ) with pytest.raises(DeepsetCloudError, match="Pipeline config 'test_new_non_existing_pipeline' does not exist."): Pipeline.deploy_on_deepset_cloud( pipeline_config_name="test_new_non_existing_pipeline", api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY ) @pytest.mark.usefixtures(deepset_cloud_fixture.__name__) @responses.activate def test_undeploy_on_deepset_cloud_non_existing_pipeline(): if MOCK_DC: responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline", json={"errors": ["Pipeline with the name test_pipeline_config_copy does not exists."]}, status=404, ) with pytest.raises(DeepsetCloudError, match="Pipeline config 'test_new_non_existing_pipeline' does not exist."): Pipeline.undeploy_on_deepset_cloud( pipeline_config_name="test_new_non_existing_pipeline", api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY ) @pytest.mark.usefixtures(deepset_cloud_fixture.__name__) @responses.activate def test_deploy_on_deepset_cloud(): if MOCK_DC: responses.add( method=responses.POST, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline/deploy", json={"status": "DEPLOYMENT_SCHEDULED"}, status=200, ) # status will be first undeployed, after deploy() it's in progress twice and the third time deployed status_flow = ["UNDEPLOYED", "DEPLOYMENT_IN_PROGRESS", "DEPLOYMENT_IN_PROGRESS", "DEPLOYED"] for status in status_flow: responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline", json={"status": status}, status=200, ) Pipeline.deploy_on_deepset_cloud( pipeline_config_name="test_new_non_existing_pipeline", api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY ) @pytest.mark.usefixtures(deepset_cloud_fixture.__name__) @responses.activate def test_undeploy_on_deepset_cloud(): if MOCK_DC: responses.add( method=responses.POST, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline/undeploy", json={"status": "UNDEPLOYMENT_SCHEDULED"}, status=200, ) # status will be first undeployed, after deploy() it's in progress twice and the third time deployed status_flow = ["DEPLOYED", "UNDEPLOYMENT_IN_PROGRESS", "UNDEPLOYMENT_IN_PROGRESS", "UNDEPLOYED"] for status in status_flow: responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline", json={"status": status}, status=200, ) Pipeline.undeploy_on_deepset_cloud( pipeline_config_name="test_new_non_existing_pipeline", api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY ) @pytest.mark.usefixtures(deepset_cloud_fixture.__name__) @responses.activate def test_deploy_on_deepset_cloud_sate_already_satisfied(): if MOCK_DC: # status will be first undeployed, after deploy() it's in progress twice and the third time deployed status_flow = ["DEPLOYED"] for status in status_flow: responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline", json={"status": status}, status=200, ) Pipeline.deploy_on_deepset_cloud( pipeline_config_name="test_new_non_existing_pipeline", api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY ) @pytest.mark.usefixtures(deepset_cloud_fixture.__name__) @responses.activate def test_undeploy_on_deepset_cloud_sate_already_satisfied(): if MOCK_DC: # status will be first undeployed, after deploy() it's in progress twice and the third time deployed status_flow = ["UNDEPLOYED"] for status in status_flow: responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline", json={"status": status}, status=200, ) Pipeline.undeploy_on_deepset_cloud( pipeline_config_name="test_new_non_existing_pipeline", api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY ) @pytest.mark.usefixtures(deepset_cloud_fixture.__name__) @responses.activate def test_deploy_on_deepset_cloud_failed(): if MOCK_DC: responses.add( method=responses.POST, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline/deploy", json={"status": "DEPLOYMENT_SCHEDULED"}, status=200, ) # status will be first undeployed, after deploy() it's in progress and the third time undeployed status_flow = ["UNDEPLOYED", "DEPLOYMENT_IN_PROGRESS", "UNDEPLOYED"] for status in status_flow: responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline", json={"status": status}, status=200, ) with pytest.raises( DeepsetCloudError, match="Deployment of pipeline config 'test_new_non_existing_pipeline' failed." ): Pipeline.deploy_on_deepset_cloud( pipeline_config_name="test_new_non_existing_pipeline", api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY ) @pytest.mark.usefixtures(deepset_cloud_fixture.__name__) @responses.activate def test_undeploy_on_deepset_cloud_failed(): if MOCK_DC: responses.add( method=responses.POST, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline/undeploy", json={"status": "UNDEPLOYMENT_SCHEDULED"}, status=200, ) # status will be first undeployed, after deploy() it's in progress and the third time undeployed status_flow = ["DEPLOYED", "UNDEPLOYMENT_IN_PROGRESS", "DEPLOYED"] for status in status_flow: responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline", json={"status": status}, status=200, ) with pytest.raises( DeepsetCloudError, match="Undeployment of pipeline config 'test_new_non_existing_pipeline' failed." ): Pipeline.undeploy_on_deepset_cloud( pipeline_config_name="test_new_non_existing_pipeline", api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY ) @pytest.mark.usefixtures(deepset_cloud_fixture.__name__) @responses.activate def test_deploy_on_deepset_cloud_invalid_initial_state(): if MOCK_DC: status_flow = ["UNDEPLOYMENT_SCHEDULED"] for status in status_flow: responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline", json={"status": status}, status=200, ) with pytest.raises( DeepsetCloudError, match="Pipeline config 'test_new_non_existing_pipeline' is in invalid state 'UNDEPLOYMENT_SCHEDULED' to be transitioned to 'DEPLOYED'.", ): Pipeline.deploy_on_deepset_cloud( pipeline_config_name="test_new_non_existing_pipeline", api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY ) @pytest.mark.usefixtures(deepset_cloud_fixture.__name__) @responses.activate def test_undeploy_on_deepset_cloud_invalid_initial_state(): if MOCK_DC: status_flow = ["DEPLOYMENT_SCHEDULED"] for status in status_flow: responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline", json={"status": status}, status=200, ) with pytest.raises( DeepsetCloudError, match="Pipeline config 'test_new_non_existing_pipeline' is in invalid state 'DEPLOYMENT_SCHEDULED' to be transitioned to 'UNDEPLOYED'.", ): Pipeline.undeploy_on_deepset_cloud( pipeline_config_name="test_new_non_existing_pipeline", api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY ) @pytest.mark.usefixtures(deepset_cloud_fixture.__name__) @responses.activate def test_deploy_on_deepset_cloud_invalid_state_in_progress(): if MOCK_DC: responses.add( method=responses.POST, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline/deploy", json={"status": "DEPLOYMENT_SCHEDULED"}, status=200, ) # status will be first undeployed, after deploy() it's in progress twice and the third time deployed status_flow = ["UNDEPLOYED", "UNDEPLOYMENT_IN_PROGRESS"] for status in status_flow: responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline", json={"status": status}, status=200, ) with pytest.raises( DeepsetCloudError, match="Deployment of pipline config 'test_new_non_existing_pipeline' aborted. Undeployment was requested.", ): Pipeline.deploy_on_deepset_cloud( pipeline_config_name="test_new_non_existing_pipeline", api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY ) @pytest.mark.usefixtures(deepset_cloud_fixture.__name__) @responses.activate def test_undeploy_on_deepset_cloud_invalid_state_in_progress(): if MOCK_DC: responses.add( method=responses.POST, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline/undeploy", json={"status": "UNDEPLOYMENT_SCHEDULED"}, status=200, ) # status will be first undeployed, after deploy() it's in progress twice and the third time deployed status_flow = ["DEPLOYED", "DEPLOYMENT_IN_PROGRESS"] for status in status_flow: responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline", json={"status": status}, status=200, ) with pytest.raises( DeepsetCloudError, match="Undeployment of pipline config 'test_new_non_existing_pipeline' aborted. Deployment was requested.", ): Pipeline.undeploy_on_deepset_cloud( pipeline_config_name="test_new_non_existing_pipeline", api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY ) @pytest.mark.usefixtures(deepset_cloud_fixture.__name__) @responses.activate def test_deploy_on_deepset_cloud_unknown_state_in_progress(): if MOCK_DC: responses.add( method=responses.POST, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline/deploy", json={"status": "DEPLOYMENT_SCHEDULED"}, status=200, ) # status will be first undeployed, after deploy() it's in progress twice and the third time deployed status_flow = ["UNDEPLOYED", "ASKDHFASJDF"] for status in status_flow: responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline", json={"status": status}, status=200, ) with pytest.raises( DeepsetCloudError, match="Deployment of pipeline config 'test_new_non_existing_pipeline ended in unexpected status: UNKNOWN", ): Pipeline.deploy_on_deepset_cloud( pipeline_config_name="test_new_non_existing_pipeline", api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY ) @pytest.mark.usefixtures(deepset_cloud_fixture.__name__) @responses.activate def test_undeploy_on_deepset_cloud_unknown_state_in_progress(): if MOCK_DC: responses.add( method=responses.POST, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline/undeploy", json={"status": "UNDEPLOYMENT_SCHEDULED"}, status=200, ) # status will be first undeployed, after deploy() it's in progress twice and the third time deployed status_flow = ["DEPLOYED", "ASKDHFASJDF"] for status in status_flow: responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline", json={"status": status}, status=200, ) with pytest.raises( DeepsetCloudError, match="Undeployment of pipeline config 'test_new_non_existing_pipeline ended in unexpected status: UNKNOWN", ): Pipeline.undeploy_on_deepset_cloud( pipeline_config_name="test_new_non_existing_pipeline", api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY ) @pytest.mark.usefixtures(deepset_cloud_fixture.__name__) @responses.activate def test_deploy_on_deepset_cloud_timeout(): if MOCK_DC: responses.add( method=responses.POST, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline/deploy", json={"status": "DEPLOYMENT_SCHEDULED"}, status=200, ) # status will be first undeployed, after deploy() it's in progress twice and the third time deployed status_flow = ["UNDEPLOYED", "DEPLOYMENT_IN_PROGRESS", "DEPLOYMENT_IN_PROGRESS", "DEPLOYED"] for status in status_flow: responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline", json={"status": status}, status=200, ) with pytest.raises( TimeoutError, match="Transitioning of 'test_new_non_existing_pipeline' to state 'DEPLOYED' timed out." ): Pipeline.deploy_on_deepset_cloud( pipeline_config_name="test_new_non_existing_pipeline", api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY, timeout=5, ) @pytest.mark.usefixtures(deepset_cloud_fixture.__name__) @responses.activate def test_undeploy_on_deepset_cloud_timeout(): if MOCK_DC: responses.add( method=responses.POST, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline/undeploy", json={"status": "UNDEPLOYMENT_SCHEDULED"}, status=200, ) # status will be first undeployed, after deploy() it's in progress twice and the third time deployed status_flow = ["DEPLOYED", "UNDEPLOYMENT_IN_PROGRESS", "UNDEPLOYMENT_IN_PROGRESS", "UNDEPLOYED"] for status in status_flow: responses.add( method=responses.GET, url=f"{DC_API_ENDPOINT}/workspaces/default/pipelines/test_new_non_existing_pipeline", json={"status": status}, status=200, ) with pytest.raises( TimeoutError, match="Transitioning of 'test_new_non_existing_pipeline' to state 'UNDEPLOYED' timed out." ): Pipeline.undeploy_on_deepset_cloud( pipeline_config_name="test_new_non_existing_pipeline", api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY, timeout=5, ) # @pytest.mark.slow # @pytest.mark.elasticsearch # @pytest.mark.parametrize( # "retriever_with_docs, document_store_with_docs", # [("elasticsearch", "elasticsearch")], # indirect=True, # ) @pytest.mark.parametrize( "retriever_with_docs,document_store_with_docs", [ ("dpr", "elasticsearch"), ("dpr", "faiss"), ("dpr", "memory"), ("dpr", "milvus1"), ("embedding", "elasticsearch"), ("embedding", "faiss"), ("embedding", "memory"), ("embedding", "milvus1"), ("elasticsearch", "elasticsearch"), ("es_filter_only", "elasticsearch"), ("tfidf", "memory"), ], indirect=True, ) def test_graph_creation(retriever_with_docs, document_store_with_docs): pipeline = Pipeline() pipeline.add_node(name="ES", component=retriever_with_docs, inputs=["Query"]) with pytest.raises(AssertionError): pipeline.add_node(name="Reader", component=retriever_with_docs, inputs=["ES.output_2"]) with pytest.raises(AssertionError): pipeline.add_node(name="Reader", component=retriever_with_docs, inputs=["ES.wrong_edge_label"]) with pytest.raises(Exception): pipeline.add_node(name="Reader", component=retriever_with_docs, inputs=["InvalidNode"]) with pytest.raises(Exception): pipeline = Pipeline() pipeline.add_node(name="ES", component=retriever_with_docs, inputs=["InvalidNode"]) def test_parallel_paths_in_pipeline_graph(): class A(RootNode): def run(self): test = "A" return {"test": test}, "output_1" class B(RootNode): def run(self, test): test += "B" return {"test": test}, "output_1" class C(RootNode): def run(self, test): test += "C" return {"test": test}, "output_1" class D(RootNode): def run(self, test): test += "D" return {"test": test}, "output_1" class E(RootNode): def run(self, test): test += "E" return {"test": test}, "output_1" class JoinNode(RootNode): def run(self, inputs): test = inputs[0]["test"] + inputs[1]["test"] return {"test": test}, "output_1" pipeline = Pipeline() pipeline.add_node(name="A", component=A(), inputs=["Query"]) pipeline.add_node(name="B", component=B(), inputs=["A"]) pipeline.add_node(name="C", component=C(), inputs=["B"]) pipeline.add_node(name="E", component=E(), inputs=["C"]) pipeline.add_node(name="D", component=D(), inputs=["B"]) pipeline.add_node(name="F", component=JoinNode(), inputs=["D", "E"]) output = pipeline.run(query="test") assert output["test"] == "ABDABCE" pipeline = Pipeline() pipeline.add_node(name="A", component=A(), inputs=["Query"]) pipeline.add_node(name="B", component=B(), inputs=["A"]) pipeline.add_node(name="C", component=C(), inputs=["B"]) pipeline.add_node(name="D", component=D(), inputs=["B"]) pipeline.add_node(name="E", component=JoinNode(), inputs=["C", "D"]) output = pipeline.run(query="test") assert output["test"] == "ABCABD" def test_parallel_paths_in_pipeline_graph_with_branching(): class AWithOutput1(RootNode): outgoing_edges = 2 def run(self): output = "A" return {"output": output}, "output_1" class AWithOutput2(RootNode): outgoing_edges = 2 def run(self): output = "A" return {"output": output}, "output_2" class AWithOutputAll(RootNode): outgoing_edges = 2 def run(self): output = "A" return {"output": output}, "output_all" class B(RootNode): def run(self, output): output += "B" return {"output": output}, "output_1" class C(RootNode): def run(self, output): output += "C" return {"output": output}, "output_1" class D(RootNode): def run(self, output): output += "D" return {"output": output}, "output_1" class E(RootNode): def run(self, output): output += "E" return {"output": output}, "output_1" class JoinNode(RootNode): def run(self, output=None, inputs=None): if inputs: output = "" for input_dict in inputs: output += input_dict["output"] return {"output": output}, "output_1" pipeline = Pipeline() pipeline.add_node(name="A", component=AWithOutput1(), inputs=["Query"]) pipeline.add_node(name="B", component=B(), inputs=["A.output_1"]) pipeline.add_node(name="C", component=C(), inputs=["A.output_2"]) pipeline.add_node(name="D", component=E(), inputs=["B"]) pipeline.add_node(name="E", component=D(), inputs=["B"]) pipeline.add_node(name="F", component=JoinNode(), inputs=["D", "E", "C"]) output = pipeline.run(query="test") assert output["output"] == "ABEABD" pipeline = Pipeline() pipeline.add_node(name="A", component=AWithOutput2(), inputs=["Query"]) pipeline.add_node(name="B", component=B(), inputs=["A.output_1"]) pipeline.add_node(name="C", component=C(), inputs=["A.output_2"]) pipeline.add_node(name="D", component=E(), inputs=["B"]) pipeline.add_node(name="E", component=D(), inputs=["B"]) pipeline.add_node(name="F", component=JoinNode(), inputs=["D", "E", "C"]) output = pipeline.run(query="test") assert output["output"] == "AC" pipeline = Pipeline() pipeline.add_node(name="A", component=AWithOutputAll(), inputs=["Query"]) pipeline.add_node(name="B", component=B(), inputs=["A.output_1"]) pipeline.add_node(name="C", component=C(), inputs=["A.output_2"]) pipeline.add_node(name="D", component=E(), inputs=["B"]) pipeline.add_node(name="E", component=D(), inputs=["B"]) pipeline.add_node(name="F", component=JoinNode(), inputs=["D", "E", "C"]) output = pipeline.run(query="test") assert output["output"] == "ACABEABD" def test_pipeline_components(): class Node(BaseComponent): outgoing_edges = 1 def run(self): test = "test" return {"test": test}, "output_1" a = Node() b = Node() c = Node() d = Node() e = Node() pipeline = Pipeline() pipeline.add_node(name="A", component=a, inputs=["Query"]) pipeline.add_node(name="B", component=b, inputs=["A"]) pipeline.add_node(name="C", component=c, inputs=["B"]) pipeline.add_node(name="D", component=d, inputs=["C"]) pipeline.add_node(name="E", component=e, inputs=["D"]) assert len(pipeline.components) == 5 assert pipeline.components["A"] == a assert pipeline.components["B"] == b assert pipeline.components["C"] == c assert pipeline.components["D"] == d assert pipeline.components["E"] == e def test_pipeline_get_document_store_from_components(): class DummyDocumentStore(BaseDocumentStore): pass doc_store = DummyDocumentStore() pipeline = Pipeline() pipeline.add_node(name="A", component=doc_store, inputs=["File"]) assert doc_store == pipeline.get_document_store() def test_pipeline_get_document_store_from_components_multiple_doc_stores(): class DummyDocumentStore(BaseDocumentStore): pass doc_store_a = DummyDocumentStore() doc_store_b = DummyDocumentStore() pipeline = Pipeline() pipeline.add_node(name="A", component=doc_store_a, inputs=["File"]) pipeline.add_node(name="B", component=doc_store_b, inputs=["File"]) with pytest.raises(Exception, match="Multiple Document Stores found in Pipeline"): pipeline.get_document_store() def test_pipeline_get_document_store_from_retriever(): class DummyRetriever(BaseRetriever): def __init__(self, document_store): self.document_store = document_store def run(self): test = "test" return {"test": test}, "output_1" class DummyDocumentStore(BaseDocumentStore): pass doc_store = DummyDocumentStore() retriever = DummyRetriever(document_store=doc_store) pipeline = Pipeline() pipeline.add_node(name="A", component=retriever, inputs=["Query"]) assert doc_store == pipeline.get_document_store() def test_pipeline_get_document_store_from_dual_retriever(): class DummyRetriever(BaseRetriever): def __init__(self, document_store): self.document_store = document_store def run(self): test = "test" return {"test": test}, "output_1" class DummyDocumentStore(BaseDocumentStore): pass class JoinNode(RootNode): def run(self, output=None, inputs=None): if inputs: output = "" for input_dict in inputs: output += input_dict["output"] return {"output": output}, "output_1" doc_store = DummyDocumentStore() retriever_a = DummyRetriever(document_store=doc_store) retriever_b = DummyRetriever(document_store=doc_store) pipeline = Pipeline() pipeline.add_node(name="A", component=retriever_a, inputs=["Query"]) pipeline.add_node(name="B", component=retriever_b, inputs=["Query"]) pipeline.add_node(name="C", component=JoinNode(), inputs=["A", "B"]) assert doc_store == pipeline.get_document_store() def test_pipeline_get_document_store_multiple_doc_stores_from_dual_retriever(): class DummyRetriever(BaseRetriever): def __init__(self, document_store): self.document_store = document_store def run(self): test = "test" return {"test": test}, "output_1" class DummyDocumentStore(BaseDocumentStore): pass class JoinNode(RootNode): def run(self, output=None, inputs=None): if inputs: output = "" for input_dict in inputs: output += input_dict["output"] return {"output": output}, "output_1" doc_store_a = DummyDocumentStore() doc_store_b = DummyDocumentStore() retriever_a = DummyRetriever(document_store=doc_store_a) retriever_b = DummyRetriever(document_store=doc_store_b) pipeline = Pipeline() pipeline.add_node(name="A", component=retriever_a, inputs=["Query"]) pipeline.add_node(name="B", component=retriever_b, inputs=["Query"]) pipeline.add_node(name="C", component=JoinNode(), inputs=["A", "B"]) with pytest.raises(Exception, match="Multiple Document Stores found in Pipeline"): pipeline.get_document_store() def test_existing_faiss_document_store(): clean_faiss_document_store() pipeline = Pipeline.load_from_yaml( SAMPLES_PATH / "pipeline" / "test_pipeline_faiss_indexing.yaml", pipeline_name="indexing_pipeline" ) pipeline.run(file_paths=SAMPLES_PATH / "pdf" / "sample_pdf_1.pdf") new_document_store = pipeline.get_document_store() new_document_store.save("existing_faiss_document_store") # test correct load of query pipeline from yaml pipeline = Pipeline.load_from_yaml( SAMPLES_PATH / "pipeline" / "test_pipeline_faiss_retrieval.yaml", pipeline_name="query_pipeline" ) retriever = pipeline.get_node("DPRRetriever") existing_document_store = retriever.document_store faiss_index = existing_document_store.faiss_indexes["document"] assert faiss_index.ntotal == 2 prediction = pipeline.run(query="Who made the PDF specification?", params={"DPRRetriever": {"top_k": 10}}) assert prediction["query"] == "Who made the PDF specification?" assert len(prediction["documents"]) == 2 clean_faiss_document_store() @pytest.mark.slow @pytest.mark.parametrize("retriever_with_docs", ["elasticsearch", "dpr", "embedding"], indirect=True) @pytest.mark.parametrize("document_store_with_docs", ["elasticsearch"], indirect=True) def test_documentsearch_es_authentication(retriever_with_docs, document_store_with_docs: ElasticsearchDocumentStore): if isinstance(retriever_with_docs, (DensePassageRetriever, EmbeddingRetriever)): document_store_with_docs.update_embeddings(retriever=retriever_with_docs) mock_client = Mock(wraps=document_store_with_docs.client) document_store_with_docs.client = mock_client auth_headers = {"Authorization": "Basic YWRtaW46cm9vdA=="} pipeline = DocumentSearchPipeline(retriever=retriever_with_docs) prediction = pipeline.run( query="Who lives in Berlin?", params={"Retriever": {"top_k": 10, "headers": auth_headers}} ) assert prediction is not None assert len(prediction["documents"]) == 5 mock_client.search.assert_called_once() args, kwargs = mock_client.search.call_args assert "headers" in kwargs assert kwargs["headers"] == auth_headers @pytest.mark.slow @pytest.mark.parametrize("retriever_with_docs", ["tfidf"], indirect=True) def test_documentsearch_document_store_authentication(retriever_with_docs, document_store_with_docs): mock_client = None if isinstance(document_store_with_docs, ElasticsearchDocumentStore): es_document_store: ElasticsearchDocumentStore = document_store_with_docs mock_client = Mock(wraps=es_document_store.client) es_document_store.client = mock_client auth_headers = {"Authorization": "Basic YWRtaW46cm9vdA=="} pipeline = DocumentSearchPipeline(retriever=retriever_with_docs) if not mock_client: with pytest.raises(Exception): prediction = pipeline.run( query="Who lives in Berlin?", params={"Retriever": {"top_k": 10, "headers": auth_headers}} ) else: prediction = pipeline.run( query="Who lives in Berlin?", params={"Retriever": {"top_k": 10, "headers": auth_headers}} ) assert prediction is not None assert len(prediction["documents"]) == 5 mock_client.count.assert_called_once() args, kwargs = mock_client.count.call_args assert "headers" in kwargs assert kwargs["headers"] == auth_headers def test_route_documents_by_content_type(): # Test routing by content_type docs = [ Document(content="text document", content_type="text"), Document( content=pd.DataFrame(columns=["col 1", "col 2"], data=[["row 1", "row 1"], ["row 2", "row 2"]]), content_type="table", ), ] route_documents = RouteDocuments() result, _ = route_documents.run(documents=docs) assert len(result["output_1"]) == 1 assert len(result["output_2"]) == 1 assert result["output_1"][0].content_type == "text" assert result["output_2"][0].content_type == "table" def test_route_documents_by_metafield(test_docs_xs): # Test routing by metadata field docs = [Document.from_dict(doc) if isinstance(doc, dict) else doc for doc in test_docs_xs] route_documents = RouteDocuments(split_by="meta_field", metadata_values=["test1", "test3", "test5"]) result, _ = route_documents.run(docs) assert len(result["output_1"]) == 1 assert len(result["output_2"]) == 1 assert len(result["output_3"]) == 1 assert result["output_1"][0].meta["meta_field"] == "test1" assert result["output_2"][0].meta["meta_field"] == "test3" assert result["output_3"][0].meta["meta_field"] == "test5" @pytest.mark.parametrize("join_mode", ["concatenate", "merge"]) def test_join_answers(join_mode): inputs = [{"answers": [Answer(answer="answer 1", score=0.7)]}, {"answers": [Answer(answer="answer 2", score=0.8)]}] join_answers = JoinAnswers(join_mode=join_mode) result, _ = join_answers.run(inputs) assert len(result["answers"]) == 2 assert result["answers"] == sorted(result["answers"], reverse=True) result, _ = join_answers.run(inputs, top_k_join=1) assert len(result["answers"]) == 1 assert result["answers"][0].answer == "answer 2" def clean_faiss_document_store(): if Path("existing_faiss_document_store").exists(): os.remove("existing_faiss_document_store") if Path("existing_faiss_document_store.json").exists(): os.remove("existing_faiss_document_store.json") if Path("faiss_document_store.db").exists(): os.remove("faiss_document_store.db")

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0.021222

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0.756709

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0.70489

0.679957

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1

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null

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ed1588418af691630830b9dd5c84a8e85354e30d

4,618

py

Python

epytope/Data/pssms/arb/mat/A_2603_9.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

7

2021-02-01T18:11:28.000Z

2022-01-31T19:14:07.000Z

epytope/Data/pssms/arb/mat/A_2603_9.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

22

2021-01-02T15:25:23.000Z

2022-03-14T11:32:53.000Z

epytope/Data/pssms/arb/mat/A_2603_9.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

4

2021-05-28T08:50:38.000Z

2022-03-14T11:45:32.000Z

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api/migrations/versions/3d972cfa5be9_add_ta_for_and_professor_for_tables.py

Racheltrq/Anubis

20eabe5651cee4ca5dc2f2b9bb531724aad1cf37

[ "MIT" ]

87

2021-11-08T10:58:26.000Z

2022-03-31T19:02:47.000Z

api/migrations/versions/3d972cfa5be9_add_ta_for_and_professor_for_tables.py

Racheltrq/Anubis

20eabe5651cee4ca5dc2f2b9bb531724aad1cf37

[ "MIT" ]

114

2021-06-27T08:37:43.000Z

2021-10-24T00:51:01.000Z

api/migrations/versions/3d972cfa5be9_add_ta_for_and_professor_for_tables.py

Racheltrq/Anubis

20eabe5651cee4ca5dc2f2b9bb531724aad1cf37

[ "MIT" ]

15

2021-11-07T17:02:21.000Z

2022-03-28T02:04:16.000Z

"""ADD ta_for and professor_for tables Revision ID: 3d972cfa5be9 Revises: b99d63327de0 Create Date: 2021-04-27 14:47:30.881951 """ import sqlalchemy as sa from alembic import op from sqlalchemy.dialects import mysql # revision identifiers, used by Alembic. revision = "3d972cfa5be9" down_revision = "b99d63327de0" branch_labels = None depends_on = None def upgrade(): # ### commands auto generated by Alembic - please adjust! ### op.create_table( "professor_for_course", sa.Column("owner_id", sa.String(length=128), nullable=False), sa.Column("course_id", sa.String(length=128), nullable=False), sa.ForeignKeyConstraint( ["course_id"], ["course.id"], ), sa.ForeignKeyConstraint( ["owner_id"], ["user.id"], ), sa.PrimaryKeyConstraint("owner_id", "course_id"), mysql_charset="utf8mb4", mysql_collate="utf8mb4_general_ci", ) op.create_table( "ta_for_course", sa.Column("owner_id", sa.String(length=128), nullable=False), sa.Column("course_id", sa.String(length=128), nullable=False), sa.ForeignKeyConstraint( ["course_id"], ["course.id"], ), sa.ForeignKeyConstraint( ["owner_id"], ["user.id"], ), sa.PrimaryKeyConstraint("owner_id", "course_id"), mysql_charset="utf8mb4", mysql_collate="utf8mb4_general_ci", ) op.alter_column("assignment", "name", existing_type=mysql.MEDIUMTEXT(), nullable=False) op.alter_column( "assignment_repo", "github_username", existing_type=mysql.MEDIUMTEXT(), nullable=False, ) op.alter_column( "assignment_repo", "repo_url", existing_type=mysql.MEDIUMTEXT(), nullable=False, ) op.alter_column( "course", "course_code", existing_type=mysql.MEDIUMTEXT(), nullable=False, ) op.alter_column("course", "name", existing_type=mysql.MEDIUMTEXT(), nullable=False) op.alter_column("course", "professor", existing_type=mysql.MEDIUMTEXT(), nullable=False) op.drop_column("user", "is_admin") # ### end Alembic commands ### def downgrade(): # ### commands auto generated by Alembic - please adjust! ### op.add_column( "user", sa.Column( "is_admin", mysql.TINYINT(display_width=1), autoincrement=False, nullable=False, ), ) op.alter_column("course", "professor", existing_type=mysql.MEDIUMTEXT(), nullable=True) op.alter_column("course", "name", existing_type=mysql.MEDIUMTEXT(), nullable=True) op.alter_column( "course", "course_code", existing_type=mysql.MEDIUMTEXT(), nullable=True, ) op.alter_column( "assignment_repo", "repo_url", existing_type=mysql.MEDIUMTEXT(), nullable=True, ) op.alter_column( "assignment_repo", "github_username", existing_type=mysql.MEDIUMTEXT(), nullable=True, ) op.alter_column("assignment", "name", existing_type=mysql.MEDIUMTEXT(), nullable=True) op.drop_table("ta_for_course") op.drop_table("professor_for_course") # ### end Alembic commands ###

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5

ed70ed1c9ec8459e7544fd996ab6c7c4a33d1173

153

py

Python

tests/test_readme.py

manicmaniac/sqlalchemy-repr

cbeb823d5f1953aa4f59617e32c1eca4033ff0f2

[ "MIT" ]

26

2016-10-15T12:39:57.000Z

2022-02-16T19:15:18.000Z

tests/test_readme.py

manicmaniac/sqlalchemy-repr

cbeb823d5f1953aa4f59617e32c1eca4033ff0f2

[ "MIT" ]

3

2016-08-22T23:27:25.000Z

2020-05-20T01:11:37.000Z

tests/test_readme.py

manicmaniac/sqlalchemy-repr

cbeb823d5f1953aa4f59617e32c1eca4033ff0f2

[ "MIT" ]

3

2016-08-20T14:04:58.000Z

2020-03-18T13:54:41.000Z

import doctest import sys if sys.version_info >= (3,): def load_tests(loader, tests, ignore): return doctest.DocFileSuite('../README.rst')

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5

ed8c97a3b8cf3a33653c6b040d4f140475b87b6f

113

py

Python

total_ds.py

iaxat/data_structure_implementation

3eb47b16dea5c933936c64e8a88523ee582dcdf2

[ "MIT" ]

null

total_ds.py

iaxat/data_structure_implementation

3eb47b16dea5c933936c64e8a88523ee582dcdf2

[ "MIT" ]

null

total_ds.py

iaxat/data_structure_implementation

3eb47b16dea5c933936c64e8a88523ee582dcdf2

[ "MIT" ]

null

# # from array_ds import Array_ds # from trees_ds import # from string_ds # from set_ds # from linked_list_ds

14.125

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5

71e926e11927f0c71ae4848852c09689d47ca0a6

88

py

Python

idunn/geocoder/models/__init__.py

QwantResearch/idunn

88b6862f1036187855b5541bbb6758ddd4df33c1

[ "Apache-2.0" ]

26

2018-11-30T09:17:17.000Z

2020-11-07T01:53:07.000Z

idunn/geocoder/models/__init__.py

QwantResearch/idunn

88b6862f1036187855b5541bbb6758ddd4df33c1

[ "Apache-2.0" ]

38

2018-06-08T09:41:04.000Z

2020-12-07T17:39:12.000Z

idunn/geocoder/models/__init__.py

Qwant/idunn

65582dfed732093778bf7c2998db1e2cd78255b8

[ "Apache-2.0" ]

9

2018-05-18T13:07:00.000Z

2020-08-01T16:42:40.000Z

from .geocodejson import IdunnAutocomplete from .params import ExtraParams, QueryParams

29.333333

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5

9c1ff1df90605257a18d721e065e64327e9d69c2

100

py

Python

config.py

KonradLinkowski/VoiceManager

a84a604ad8057383414912cd8f9647c6e320bcdc

[ "MIT" ]

2

2020-01-27T16:45:54.000Z

2020-09-24T17:30:58.000Z

config.py

KonradLinkowski/VoiceManager

a84a604ad8057383414912cd8f9647c6e320bcdc

[ "MIT" ]

null

config.py

KonradLinkowski/VoiceManager

a84a604ad8057383414912cd8f9647c6e320bcdc

[ "MIT" ]

null

import json def parse(path): with open(path) as json_file: return json.load(json_file)

16.666667

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16

100

4.125

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null

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1

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5

9c4dc510986a359c1b584f299dd63ba9f25e1be1

147

py

Python

cpgames/modules/core/tankwar/modules/interfaces/__init__.py

Wasabii88/Games

33262ca1958207a24e57e3532feded7e275b1dd1

[ "MIT" ]

1

2022-02-27T10:33:41.000Z

cpgames/modules/core/tankwar/modules/interfaces/__init__.py

beiwei365/Games

f6499f378802d3212a08aeca761191b58714b7f0

[ "MIT" ]

null

cpgames/modules/core/tankwar/modules/interfaces/__init__.py

beiwei365/Games

f6499f378802d3212a08aeca761191b58714b7f0

[ "MIT" ]

null

'''初始化''' from .endinterface import GameEndIterface from .startinterface import GameStartInterface from .switchinterface import SwitchLevelIterface

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1

0

1

0

5

9c63316f7992abf3aa56fb7d8bef723304e6b0be

886

py

Python

django_boost/models/query.py

ChanTsune/Django-Boost

5141605132c1d46aee978ee3cdbc8db5e9d4b8c4

[ "MIT" ]

25

2019-05-23T11:19:18.000Z

2022-02-19T15:28:09.000Z

django_boost/models/query.py

ChanTsune/Django-Boost

5141605132c1d46aee978ee3cdbc8db5e9d4b8c4

[ "MIT" ]

49

2019-09-17T08:40:22.000Z

2022-03-02T14:08:27.000Z

django_boost/models/query.py

ChanTsune/Django-Boost

5141605132c1d46aee978ee3cdbc8db5e9d4b8c4

[ "MIT" ]

4

2019-09-17T08:16:55.000Z

2020-08-24T09:33:16.000Z

from django.db.models.query import QuerySet class LogicalDeletionQuerySet(QuerySet): delete_flag_field = "deleted_at" def get_delete_flag_field_name(self): return self.delete_flag_field def delete(self, hard=False): if hard: return super().delete() field_name = self.get_delete_flag_field_name() deleted_value = self.model.get_deleted_value() return super().update(**{field_name: deleted_value}) def alive(self): field_name = self.get_delete_flag_field_name() return self.filter(**{field_name: None}) def dead(self): field_name = self.get_delete_flag_field_name() return self.exclude(**{field_name: None}) def revive(self): """Revive logical delete items.""" field_name = self.get_delete_flag_field_name() return self.update(**{field_name: None})

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5

9c63faa5f3dcffd9de3ab425b54ef48d2dd61778

13,874

py

Python

src/cloudservice/azext_cloudservice/generated/_params.py

haroonf/azure-cli-extensions

61c044d34c224372f186934fa7c9313f1cd3a525

[ "MIT" ]

207

2017-11-29T06:59:41.000Z

2022-03-31T10:00:53.000Z

src/cloudservice/azext_cloudservice/generated/_params.py

haroonf/azure-cli-extensions

61c044d34c224372f186934fa7c9313f1cd3a525

[ "MIT" ]

4,061

2017-10-27T23:19:56.000Z

2022-03-31T23:18:30.000Z

src/cloudservice/azext_cloudservice/generated/_params.py

haroonf/azure-cli-extensions

61c044d34c224372f186934fa7c9313f1cd3a525

[ "MIT" ]

802

2017-10-11T17:36:26.000Z

2022-03-31T22:24:32.000Z

# -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- # pylint: disable=too-many-lines # pylint: disable=too-many-statements from azure.cli.core.commands.parameters import ( tags_type, get_three_state_flag, get_enum_type, resource_group_name_type, get_location_type ) from azure.cli.core.commands.validators import ( get_default_location_from_resource_group, validate_file_or_dict ) def load_arguments(self, _): # All "cloud_service_name" miss help with self.argument_context('cloud-service role-instance list') as c: c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', type=str, help='Cloud service name.') with self.argument_context('cloud-service role-instance show') as c: c.argument('role_instance_name', type=str, help='Name of the role instance.', id_part='child_name_1') c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', type=str, help='Cloud service name.', id_part='name') with self.argument_context('cloud-service role-instance delete') as c: c.argument('role_instance_name', type=str, help='Name of the role instance.', id_part='child_name_1') c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', type=str, help='Cloud service name.', id_part='name') with self.argument_context('cloud-service role-instance rebuild') as c: c.argument('role_instance_name', type=str, help='Name of the role instance.', id_part='child_name_1') c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', type=str, help='Cloud service name.', id_part='name') with self.argument_context('cloud-service role-instance reimage') as c: c.argument('role_instance_name', type=str, help='Name of the role instance.', id_part='child_name_1') c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', type=str, help='Cloud service name.', id_part='name') with self.argument_context('cloud-service role-instance restart') as c: c.argument('role_instance_name', type=str, help='Name of the role instance.', id_part='child_name_1') c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', type=str, help='Cloud service name.', id_part='name') with self.argument_context('cloud-service role-instance show-instance-view') as c: c.argument('role_instance_name', type=str, help='Name of the role instance.', id_part='child_name_1') c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', type=str, help='Cloud service name.', id_part='name') with self.argument_context('cloud-service role-instance show-remote-desktop-file') as c: c.argument('role_instance_name', type=str, help='Name of the role instance.', id_part='child_name_1') c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', type=str, help='Cloud service name.', id_part='name') with self.argument_context('cloud-service role-instance wait') as c: c.argument('role_instance_name', type=str, help='Name of the role instance.', id_part='child_name_1') c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', type=str, help='Cloud service name.', id_part='name') with self.argument_context('cloud-service role list') as c: c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', type=str, help='Cloud service name.') with self.argument_context('cloud-service role show') as c: c.argument('role_name', type=str, help='Name of the role.', id_part='child_name_1') c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', type=str, help='Cloud service name.', id_part='name') with self.argument_context('cloud-service list') as c: c.argument('resource_group_name', resource_group_name_type) with self.argument_context('cloud-service show') as c: c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', options_list=['--name', '-n', '--cloud-service-name'], type=str, help='Name ' 'of the cloud service.', id_part='name') with self.argument_context('cloud-service create') as c: c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', options_list=['--name', '-n', '--cloud-service-name'], type=str, help='Name ' 'of the cloud service.') c.argument('location', arg_type=get_location_type(self.cli_ctx), required=False, validator=get_default_location_from_resource_group) c.argument('tags', tags_type) c.argument('package_url', type=str, help='Specifies a URL that refers to the location of the service package ' 'in the Blob service. The service package URL can be Shared Access Signature (SAS) URI from any ' 'storage account. This is a write-only property and is not returned in GET calls.') c.argument('configuration', type=str, help='Specifies the XML service configuration (.cscfg) for the cloud ' 'service.') c.argument('configuration_url', type=str, help='Specifies a URL that refers to the location of the service ' 'configuration in the Blob service. The service package URL can be Shared Access Signature (SAS) ' 'URI from any storage account. This is a write-only property and is not returned in GET calls.') c.argument('start_cloud_service', arg_type=get_three_state_flag(), help='(Optional) Indicates whether to start ' 'the cloud service immediately after it is created. The default value is `true`. If false, the ' 'service model is still deployed, but the code is not run immediately. Instead, the service is ' 'PoweredOff until you call Start, at which time the service will be started. A deployed service ' 'still incurs charges, even if it is poweredoff.') c.argument('upgrade_mode', arg_type=get_enum_type(['Auto', 'Manual', 'Simultaneous']), help='Update mode for ' 'the cloud service. Role instances are allocated to update domains when the service is deployed. ' 'Updates can be initiated manually in each update domain or initiated automatically in all update ' 'domains. Possible Values are **Auto** **Manual** **Simultaneous** If not specified, the default value is Auto. If set to Manual, PUT ' 'UpdateDomain must be called to apply the update. If set to Auto, the update is automatically ' 'applied to each update domain in sequence.') c.argument('extensions', type=validate_file_or_dict, help='List of extensions for the cloud service. Expected ' 'value: json-string/@json-file.', arg_group='Extension Profile') c.argument('load_balancer_configurations', type=validate_file_or_dict, help='The list of load balancer ' 'configurations for the cloud service. Expected value: json-string/@json-file.', arg_group='Network ' 'Profile') c.argument('id_', options_list=['--id'], type=str, help='Resource Id', arg_group='Network Profile Swappable ' 'Cloud Service') c.argument('secrets', type=validate_file_or_dict, help='Specifies set of certificates that should be installed ' 'onto the role instances. Expected value: json-string/@json-file.', arg_group='Os Profile') c.argument('roles', type=validate_file_or_dict, help='List of roles for the cloud service. Expected value: ' 'json-string/@json-file.', arg_group='Role Profile') with self.argument_context('cloud-service update') as c: c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', options_list=['--name', '-n', '--cloud-service-name'], type=str, help='Name ' 'of the cloud service.', id_part='name') c.argument('tags', tags_type) with self.argument_context('cloud-service delete') as c: c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', options_list=['--name', '-n', '--cloud-service-name'], type=str, help='Name ' 'of the cloud service.', id_part='name') with self.argument_context('cloud-service delete-instance') as c: c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', options_list=['--name', '-n', '--cloud-service-name'], type=str, help='Name ' 'of the cloud service.', id_part='name') c.argument('role_instances', nargs='+', help='List of cloud service role instance names. Value of \'*\' will ' 'signify all role instances of the cloud service.') with self.argument_context('cloud-service power-off') as c: c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', options_list=['--name', '-n', '--cloud-service-name'], type=str, help='Name ' 'of the cloud service.', id_part='name') with self.argument_context('cloud-service rebuild') as c: c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', options_list=['--name', '-n', '--cloud-service-name'], type=str, help='Name ' 'of the cloud service.', id_part='name') c.argument('role_instances', nargs='+', help='List of cloud service role instance names. Value of \'*\' will ' 'signify all role instances of the cloud service.') with self.argument_context('cloud-service reimage') as c: c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', options_list=['--name', '-n', '--cloud-service-name'], type=str, help='Name ' 'of the cloud service.', id_part='name') c.argument('role_instances', nargs='+', help='List of cloud service role instance names. Value of \'*\' will ' 'signify all role instances of the cloud service.') with self.argument_context('cloud-service restart') as c: c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', options_list=['--name', '-n', '--cloud-service-name'], type=str, help='Name ' 'of the cloud service.', id_part='name') c.argument('role_instances', nargs='+', help='List of cloud service role instance names. Value of \'*\' will ' 'signify all role instances of the cloud service.') with self.argument_context('cloud-service show-instance-view') as c: c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', options_list=['--name', '-n', '--cloud-service-name'], type=str, help='Name ' 'of the cloud service.', id_part='name') with self.argument_context('cloud-service start') as c: c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', options_list=['--name', '-n', '--cloud-service-name'], type=str, help='Name ' 'of the cloud service.', id_part='name') with self.argument_context('cloud-service wait') as c: c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', options_list=['--name', '-n', '--cloud-service-name'], type=str, help='Name ' 'of the cloud service.', id_part='name') with self.argument_context('cloud-service update-domain list-update-domain') as c: c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', type=str, help='Name of the cloud service.') with self.argument_context('cloud-service update-domain show-update-domain') as c: c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', type=str, help='Name of the cloud service.', id_part='name') c.argument('update_domain', type=int, help='Specifies an integer value that identifies the update domain. ' 'Update domains are identified with a zero-based index: the first update domain has an ID of 0, the ' 'second has an ID of 1, and so on.', id_part='child_name_1') with self.argument_context('cloud-service update-domain walk-update-domain') as c: c.argument('resource_group_name', resource_group_name_type) c.argument('cloud_service_name', type=str, help='Name of the cloud service.', id_part='name') c.argument('update_domain', type=int, help='Specifies an integer value that identifies the update domain. ' 'Update domains are identified with a zero-based index: the first update domain has an ID of 0, the ' 'second has an ID of 1, and so on.', id_part='child_name_1')

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