xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

404b7dbee2461d1b57e4fc3525a23a690d0a3335

1,297

py

Python

blocksim/models/permissoned_transaction_queue.py

Jiali-Xing/Talaria

a6777ade8db8a5c4897a881a97a1513ad625de66

[ "MIT" ]

5

2021-04-06T03:06:26.000Z

2022-03-29T04:11:03.000Z

blocksim/models/permissoned_transaction_queue.py

Jiali-Xing/Talaria

a6777ade8db8a5c4897a881a97a1513ad625de66

[ "MIT" ]

null

blocksim/models/permissoned_transaction_queue.py

Jiali-Xing/Talaria

a6777ade8db8a5c4897a881a97a1513ad625de66

[ "MIT" ]

2

2021-08-03T19:06:30.000Z

2022-01-17T18:55:24.000Z

from collections import OrderedDict # from collections import deque # from blocksim.utils import time class TransactionQueue(): def __init__(self, env, node, consensus): self._env = env self._node = node self._consensus = consensus self._transaction_queue = OrderedDict() key = f'{node.address}_number_of_transactions_queue' self._env.data[key] = 0 def put(self, tx): key = f'{self._node.address}_number_of_transactions_queue' self._env.data[key] += 1 self._transaction_queue[tx.signature] = tx def get(self): # TODO: A delay to retrieve a transaction from the Queue # Jiali: FIFO popitem is achieved with the OrderedDict() here return self._transaction_queue.popitem(last=False)[1] def remove(self, tx): # None is the default value for pop, so no exception is raised if given key doesn't exist return self._transaction_queue.pop(tx.signature, None) def remove_txs(self, txs): [self._transaction_queue.pop(tx.signature) for tx in txs] def add_txs(self, txs): for tx in txs: self.put(tx) def is_empty(self): return len(self._transaction_queue) == 0 def size(self): return len(self._transaction_queue)

31.634146

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408660cef1d6a7c0f50b2bd48a78daa85aa03c30

320

py

Python

tests/test_spam/test_envio_para_base_de_usuarios.py

guyrux/PyTools-API-GitHub

39c638c130c44ce80e854b969694104c6688368e

[ "MIT" ]

null

tests/test_spam/test_envio_para_base_de_usuarios.py

guyrux/PyTools-API-GitHub

39c638c130c44ce80e854b969694104c6688368e

[ "MIT" ]

14

2021-02-20T21:26:41.000Z

2021-03-30T03:43:39.000Z

tests/test_spam/test_envio_para_base_de_usuarios.py

guyrux/PyTools-API-GitHub

39c638c130c44ce80e854b969694104c6688368e

[ "MIT" ]

null

from libpythonpro_github.spam.enviador_de_email import Enviador from libpythonpro_github.spam.main import EnviadorDeSpam def test_envio_de_spam(sessao): enviador_de_spam = EnviadorDeSpam(sessao, Enviador()) enviador_de_spam.envia_emails('guyrux@gmail.com', 'Curso Python Pro', 'Testando essa parte do codigo')

40

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0.613636

0.120482

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320

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null

0

1

0

1

0

4

40ccad18ad316ca4fbe39a342d0091ef05f86ad7

90

py

Python

quizmake/blank.py

jnguyen1098/quizmake

760f59b06b3c574ac176305deeaa13d077080e64

[ "0BSD" ]

1

2021-06-21T21:51:44.000Z

quizmake/blank.py

jnguyen1098/quizmake

760f59b06b3c574ac176305deeaa13d077080e64

[ "0BSD" ]

8

2020-06-19T13:30:57.000Z

2021-04-15T20:07:33.000Z

quizmake/blank.py

jnguyen1098/quizmake

760f59b06b3c574ac176305deeaa13d077080e64

[ "0BSD" ]

null

# !/usr/bin/env python3 # -*- coding: utf-8 -*- """ Name this module. This is blank """

10

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0.923077

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0.2

90

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1

0

1

0

null

0

1

0

4

dc0f258c3e142fc9e3b7a389b161a00a8564b8e3

120

py

Python

desafio01.py

bruno-victor32/Curso-de-Python---Mundo-1-Fundamentos

4ff929a5e0137ee9d1bcbc36636a4c9b143a77fa

[ "MIT" ]

null

desafio01.py

bruno-victor32/Curso-de-Python---Mundo-1-Fundamentos

4ff929a5e0137ee9d1bcbc36636a4c9b143a77fa

[ "MIT" ]

null

desafio01.py

bruno-victor32/Curso-de-Python---Mundo-1-Fundamentos

4ff929a5e0137ee9d1bcbc36636a4c9b143a77fa

[ "MIT" ]

null

nome = input ('Digite o seu nome, por favor!') print('======== DESAFIO 01 ========') print(nome , 'seja bem-vindo!!!')

30

46

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120

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120

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null

0

1

0

4

dc13d8a32d17f452c0ee9d3e128d3cd82b17e7e0

607

py

Python

foundations/paths.py

chenw23/open_lth

2ce732fe48abd5a80c10a153c45d397b048e980c

[ "MIT" ]

509

2020-05-07T16:45:46.000Z

2022-03-28T13:41:36.000Z

foundations/paths.py

chenw23/open_lth

2ce732fe48abd5a80c10a153c45d397b048e980c

[ "MIT" ]

12

2020-06-10T10:07:09.000Z

2022-02-03T01:57:32.000Z

foundations/paths.py

chenw23/open_lth

2ce732fe48abd5a80c10a153c45d397b048e980c

[ "MIT" ]

103

2020-05-07T21:40:06.000Z

2022-03-11T19:07:55.000Z

# Copyright (c) Facebook, Inc. and its affiliates. # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. import os def checkpoint(root): return os.path.join(root, 'checkpoint.pth') def logger(root): return os.path.join(root, 'logger') def mask(root): return os.path.join(root, 'mask.pth') def sparsity_report(root): return os.path.join(root, 'sparsity_report.json') def model(root, step): return os.path.join(root, 'model_ep{}_it{}.pth'.format(step.ep, step.it)) def hparams(root): return os.path.join(root, 'hparams.log')

24.28

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100

607

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0.219178

0.319635

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0.131796

607

24

97

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0.857143

false

0

0.142857

0.857143

1

0

null

0

1

0

null

0

1

0

1

0

4

dc192a2f8597515973d310e3d1083d381081a3f4

37,480

py

Python

TreesSegmentTests.py

LeoUfimtsev/PythonStudy

80ab01686648085fd500cb96e54584b9d3dcdbba

[ "Apache-2.0" ]

null

TreesSegmentTests.py

LeoUfimtsev/PythonStudy

80ab01686648085fd500cb96e54584b9d3dcdbba

[ "Apache-2.0" ]

null

TreesSegmentTests.py

LeoUfimtsev/PythonStudy

80ab01686648085fd500cb96e54584b9d3dcdbba

[ "Apache-2.0" ]

null

from unittest import TestCase from unittest import skip, skipIf from TreesSegment import * from itertools import combinations import random class stTest(TestCase): ####### # Tests cases for correctness of Solution ####### T0 = [2, 5, 1, 4, 9, 3] T1 = [26, 5, 20, 23, 44, 17, 17, 4, 50, 9] # i=0 j=7 ###### # Tests to benchmark solutions. Turn on if benchmarking: T_large_skip = True # # All in all: # - naive solution is faster for small arrays (len<1000) or if j-i is very small. # - Segment Tree solution works exponentially faster (e.5 30x) for large data sets (n=90000) and j-i is large (e.g 5000+) # - Implementing Segment Tree via array or dynammically linked Nodes doesn't seem to have any performance difference. # Every i,j test (combinatorial) # This test can take 3 + 3 + 6 minutes to execute. # [random.randint(0,200) for i in xrange(5000)] # -> 12497500 combinations. # naive: 7m 11s # mst: 3m 28s # starr: 3m 31s #T_large = 5 * [108, 87, 140, 113, 112, 31, 23, 10, 181, 44, 30, 137, 188, 17, 4, 26, 65, 153, 152, 148, 68, 89, 147, 87, 118, 3, 42, 166, 12, 188, 159, 99, 17, 74, 33, 24, 70, 73, 65, 23, 25, 144, 179, 73, 14, 194, 120, 14, 98, 161, 46, 45, 106, 33, 113, 90, 85, 188, 197, 101, 94, 174, 137, 93, 100, 141, 96, 182, 86, 169, 176, 58, 178, 100, 112, 71, 101, 159, 171, 105, 157, 146, 40, 101, 1, 193, 32, 185, 88, 120, 139, 151, 42, 84, 32, 147, 136, 170, 47, 123, 44, 132, 77, 79, 41, 183, 2, 113, 14, 159, 7, 81, 24, 102, 43, 105, 168, 55, 95, 77, 105, 178, 149, 5, 85, 198, 70, 122, 152, 133, 131, 79, 107, 50, 20, 134, 94, 175, 23, 145, 131, 120, 101, 74, 90, 85, 125, 28, 67, 40, 83, 123, 64, 137, 172, 62, 161, 133, 115, 173, 31, 120, 126, 191, 143, 121, 184, 174, 33, 21, 81, 5, 111, 54, 103, 49, 128, 133, 49, 68, 157, 135, 153, 97, 88, 176, 156, 100, 131, 51, 84, 15, 21, 78, 47, 0, 155, 162, 60, 110, 125, 127, 21, 9, 164, 48, 153, 177, 122, 87, 2, 162, 28, 112, 9, 193, 78, 23, 102, 60, 122, 192, 27, 161, 14, 151, 119, 145, 71, 114, 125, 119, 12, 39, 157, 71, 151, 132, 14, 108, 181, 175, 20, 171, 19, 9, 167, 47, 5, 16, 59, 81, 144, 80, 146, 126, 173, 72, 114, 95, 75, 58, 73, 58, 123, 33, 189, 13, 31, 182, 77, 168, 120, 159, 186, 196, 168, 182, 144, 130, 171, 23, 174, 27, 122, 184, 19, 32, 136, 84, 19, 44, 157, 72, 27, 181, 170, 18, 160, 188, 109, 106, 163, 112, 169, 132, 91, 198, 46, 25, 13, 68, 46, 62, 117, 127, 47, 31, 131, 60, 179, 147, 49, 91, 153, 102, 151, 98, 125, 88, 52, 185, 25, 105, 68, 138, 164, 17, 176, 23, 47, 15, 84, 145, 85, 162, 50, 128, 41, 105, 66, 162, 57, 145, 199, 19, 35, 18, 148, 178, 86, 13, 175, 180, 9, 58, 164, 12, 174, 14, 79, 41, 15, 81, 36, 181, 185, 111, 100, 193, 26, 21, 88, 94, 113, 19, 70, 137, 154, 181, 157, 37, 115, 93, 141, 156, 10, 18, 187, 148, 147, 45, 92, 181, 150, 111, 62, 52, 142, 185, 85, 84, 122, 34, 55, 48, 200, 127, 113, 69, 25, 111, 163, 28, 44, 70, 36, 70, 95, 195, 0, 38, 46, 14, 95, 72, 184, 163, 150, 6, 43, 72, 76, 9, 157, 70, 188, 92, 169, 0, 109, 7, 167, 4, 6, 179, 93, 91, 38, 50, 95, 114, 42, 169, 124, 195, 177, 111, 117, 197, 195, 158, 54, 93, 85, 60, 22, 15, 195, 163, 135, 38, 138, 15, 71, 151, 135, 116, 82, 152, 167, 165, 134, 77, 198, 56, 17, 2, 61, 66, 20, 187, 118, 9, 180, 22, 120, 35, 11, 184, 129, 166, 153, 65, 125, 33, 182, 98, 42, 77, 141, 5, 143, 93, 138, 51, 26, 131, 99, 159, 76, 38, 137, 173, 17, 30, 39, 137, 150, 112, 150, 172, 124, 172, 13, 43, 64, 96, 96, 58, 63, 35, 82, 29, 28, 163, 170, 142, 188, 81, 56, 19, 39, 91, 103, 158, 58, 138, 79, 77, 11, 112, 142, 89, 188, 138, 25, 29, 82, 126, 23, 15, 14, 157, 62, 139, 148, 90, 196, 65, 111, 131, 73, 187, 104, 193, 156, 156, 66, 5, 40, 25, 86, 67, 49, 96, 53, 20, 110, 49, 115, 193, 41, 97, 126, 100, 6, 150, 57, 16, 17, 12, 119, 158, 19, 55, 165, 79, 22, 132, 13, 162, 125, 143, 143, 122, 25, 157, 60, 72, 99, 57, 150, 176, 62, 179, 0, 85, 17, 60, 125, 100, 42, 62, 132, 193, 131, 197, 190, 62, 75, 39, 165, 24, 37, 55, 15, 51, 167, 100, 61, 174, 6, 80, 132, 135, 99, 182, 46, 38, 45, 80, 158, 126, 117, 174, 3, 120, 151, 117, 48, 191, 138, 129, 174, 80, 54, 99, 19, 36, 44, 134, 191, 96, 97, 102, 19, 155, 179, 26, 157, 34, 44, 175, 116, 87, 8, 59, 162, 75, 130, 168, 195, 113, 1, 103, 86, 60, 198, 141, 33, 136, 159, 117, 160, 114, 98, 101, 197, 172, 199, 118, 76, 154, 21, 4, 66, 160, 93, 42, 200, 178, 62, 189, 114, 186, 93, 5, 77, 111, 110, 64, 133, 82, 90, 146, 122, 120, 111, 40, 6, 46, 37, 23, 131, 146, 112, 55, 108, 80, 68, 82, 88, 199, 27, 143, 33, 110, 98, 142, 108, 111, 71, 129, 27, 148, 5, 105, 72, 37, 68, 149, 72, 32, 63, 68, 67, 156, 145, 116, 52, 133, 176, 198, 155, 130, 18, 149, 5, 101, 110, 9, 10, 130, 43, 60, 116, 145, 57, 59, 184, 40, 68, 183, 51, 89, 166, 115, 87, 162, 127, 76, 35, 186, 52, 163, 152, 30, 142, 37, 62, 116, 91, 126, 193, 156, 154, 87, 4, 16, 57, 134, 150, 84, 71, 41, 60, 179, 9, 127, 23, 191, 149, 11, 150, 187, 41, 19, 187, 42, 114, 158, 25, 12, 18, 118, 191, 149, 117, 30, 124, 88, 90, 53, 104, 18, 190, 44, 1, 72, 162, 164, 103, 39, 54, 141, 35, 60, 4, 104, 96, 157, 9, 11, 199, 118, 170, 22, 96, 187, 185, 144, 10, 62, 190, 114, 82, 182, 18, 140, 182, 8, 22, 9, 20, 82, 58, 190, 96, 98, 78, 64, 87, 88, 116, 193, 162, 108, 158, 123, 27, 77, 61, 170, 172, 31, 145, 94, 17, 22, 103, 88, 27, 89, 168, 198, 131, 170, 96, 180, 149, 4, 17, 124, 3, 112, 34, 160, 80, 171, 47, 1, 0, 19, 39, 80, 49, 43, 5, 114, 185, 123, 85, 63, 68, 32, 128, 18, 161, 153, 163] # naive method better than mst for smaller lists where we often have to traverse small i,j ranges. # [random.randint(0,200) for i in xrange(1000)] # -> 499500 combinations. # naive: 4s # mst: 6s # mst starr: 7s T_large = [73, 153, 117, 18, 105, 140, 162, 92, 131, 102, 104, 65, 187, 198, 20, 55, 39, 99, 119, 107, 158, 119, 13, 79, 32, 115, 78, 57, 129, 100, 131, 10, 142, 107, 142, 91, 165, 83, 184, 41, 107, 172, 3, 29, 93, 82, 45, 54, 198, 189, 196, 111, 30, 101, 94, 23, 92, 34, 174, 41, 56, 173, 2, 151, 193, 145, 164, 68, 58, 147, 111, 75, 144, 106, 139, 93, 22, 192, 126, 81, 196, 97, 72, 13, 52, 48, 127, 129, 171, 19, 13, 183, 190, 33, 161, 55, 70, 126, 42, 1, 71, 28, 26, 40, 8, 164, 154, 188, 103, 34, 143, 92, 88, 85, 97, 33, 190, 76, 103, 8, 11, 160, 154, 79, 44, 51, 196, 59, 51, 72, 121, 155, 77, 158, 171, 130, 120, 141, 139, 150, 50, 191, 162, 89, 68, 28, 163, 1, 3, 54, 67, 164, 11, 94, 53, 133, 86, 111, 151, 22, 41, 4, 145, 131, 24, 151, 188, 78, 23, 6, 9, 82, 58, 20, 142, 0, 179, 68, 164, 146, 62, 181, 168, 101, 49, 48, 30, 33, 197, 111, 72, 178, 72, 196, 183, 150, 167, 157, 191, 38, 98, 198, 122, 199, 137, 105, 18, 76, 176, 68, 23, 84, 98, 84, 133, 198, 153, 196, 149, 22, 182, 192, 111, 172, 76, 198, 92, 103, 93, 80, 9, 34, 177, 127, 59, 128, 5, 23, 186, 68, 131, 142, 23, 39, 22, 128, 114, 89, 171, 86, 148, 70, 113, 115, 137, 62, 125, 61, 194, 129, 33, 161, 115, 87, 92, 128, 105, 164, 115, 65, 74, 82, 110, 87, 105, 39, 125, 175, 160, 4, 139, 174, 82, 166, 117, 146, 110, 110, 179, 148, 137, 87, 7, 38, 171, 74, 30, 12, 30, 118, 56, 122, 123, 128, 77, 133, 108, 178, 32, 37, 188, 2, 181, 36, 110, 159, 110, 54, 175, 156, 23, 1, 133, 25, 24, 67, 133, 156, 110, 21, 51, 115, 116, 109, 48, 190, 17, 196, 4, 44, 16, 59, 127, 16, 7, 195, 13, 94, 86, 28, 22, 197, 134, 178, 89, 159, 198, 192, 162, 23, 168, 107, 191, 198, 100, 45, 52, 13, 47, 41, 79, 129, 148, 141, 176, 115, 144, 108, 189, 177, 91, 196, 178, 164, 170, 24, 74, 98, 79, 64, 194, 19, 60, 28, 138, 89, 142, 143, 40, 130, 22, 130, 58, 134, 21, 103, 17, 172, 66, 153, 86, 53, 31, 7, 40, 1, 94, 140, 95, 137, 15, 40, 95, 103, 5, 169, 155, 98, 69, 87, 188, 89, 157, 178, 108, 186, 92, 57, 79, 40, 55, 77, 180, 184, 83, 46, 5, 50, 116, 198, 3, 71, 31, 160, 29, 94, 12, 186, 188, 76, 1, 51, 35, 94, 82, 52, 92, 56, 186, 3, 144, 135, 15, 129, 32, 199, 94, 105, 102, 147, 52, 192, 148, 32, 142, 128, 140, 180, 87, 106, 68, 169, 55, 177, 150, 46, 100, 119, 38, 192, 171, 3, 120, 41, 149, 170, 28, 29, 178, 145, 94, 195, 33, 124, 102, 90, 16, 92, 88, 198, 60, 152, 188, 126, 186, 73, 32, 1, 88, 161, 168, 35, 68, 136, 108, 184, 196, 59, 118, 96, 25, 25, 172, 181, 87, 22, 5, 68, 23, 94, 31, 27, 54, 118, 38, 96, 19, 13, 1, 114, 20, 26, 116, 23, 62, 3, 184, 185, 52, 109, 35, 86, 113, 58, 14, 103, 24, 87, 29, 105, 158, 106, 21, 52, 34, 106, 92, 109, 185, 67, 78, 152, 196, 29, 174, 156, 142, 151, 103, 23, 74, 152, 126, 85, 155, 153, 29, 117, 34, 56, 167, 88, 149, 111, 186, 98, 131, 183, 119, 59, 13, 164, 162, 37, 200, 68, 142, 22, 25, 159, 166, 146, 20, 146, 149, 130, 34, 162, 176, 72, 63, 26, 56, 179, 75, 153, 126, 18, 178, 181, 131, 69, 99, 13, 78, 89, 127, 70, 82, 197, 141, 102, 6, 90, 79, 144, 133, 13, 176, 57, 193, 68, 8, 135, 160, 142, 11, 180, 196, 157, 11, 182, 45, 135, 1, 69, 123, 26, 199, 194, 156, 158, 147, 28, 17, 166, 184, 47, 89, 188, 49, 37, 73, 194, 105, 133, 50, 104, 140, 10, 30, 110, 6, 114, 8, 166, 84, 35, 148, 32, 200, 99, 106, 75, 83, 41, 31, 125, 32, 34, 108, 99, 7, 22, 137, 129, 15, 114, 40, 182, 36, 95, 99, 19, 117, 66, 110, 192, 196, 86, 182, 186, 27, 194, 12, 106, 74, 45, 125, 33, 145, 53, 179, 30, 1, 133, 119, 110, 24, 34, 173, 87, 66, 3, 7, 127, 25, 70, 163, 116, 195, 185, 145, 86, 188, 92, 89, 70, 152, 94, 136, 15, 66, 170, 52, 130, 133, 5, 153, 62, 55, 110, 45, 46, 5, 56, 160, 30, 78, 169, 182, 53, 49, 143, 62, 128, 45, 37, 160, 74, 189, 198, 13, 13, 160, 140, 80, 59, 31, 124, 27, 6, 134, 162, 134, 13, 29, 63, 64, 13, 84, 143, 35, 27, 125, 108, 88, 160, 122, 136, 140, 3, 34, 100, 79, 17, 54, 11, 34, 60, 33, 94, 101, 198, 58, 112, 60, 37, 72, 135, 11, 33, 181, 163, 1, 49, 191, 47, 79, 29, 81, 130, 73, 187, 70, 87, 155, 37, 84, 18, 189, 49, 190, 153, 132, 52, 86, 111, 119, 13, 105, 150, 4, 79, 188, 6, 136, 24, 165, 191, 117, 191, 101, 181, 69, 195, 50, 183, 78, 138, 49, 47, 36, 4, 34, 147, 7, 55, 7, 180, 7, 175, 37, 137, 195, 137, 105, 184, 154, 111, 43, 185, 163, 66, 62, 22, 51, 115, 41, 74, 21, 103, 97, 126, 76, 162, 98, 176, 23, 142, 100, 179, 52, 21, 95, 180, 5, 141, 97, 69, 105, 144, 16, 0, 56, 58, 41, 93, 132, 30, 141, 139, 65, 90, 191, 137, 16, 70, 46, 25, 83, 123, 148, 127, 85, 118, 130, 78, 88, 175] # Emulating long lists and queries with large-enough distance shows mst is better. # [random.randint(0, 200) for i in xrange(10000)] # naive: 729ms # Naive method is 4 times slower. # mst: 280ms # mst strarr: 258ms T_large2 = 10 * [165, 124, 20, 17, 128, 176, 119, 71, 185, 60, 93, 168, 10, 180, 152, 162, 21, 90, 28, 163, 51, 130, 178, 175, 90, 34, 187, 145, 3, 71, 162, 121, 62, 127, 56, 92, 96, 74, 37, 48, 30, 12, 134, 33, 59, 183, 108, 87, 20, 97, 134, 38, 49, 111, 74, 139, 48, 9, 19, 70, 96, 81, 39, 142, 58, 146, 73, 125, 186, 15, 136, 157, 102, 17, 87, 66, 155, 161, 152, 76, 153, 120, 59, 69, 21, 13, 113, 164, 149, 150, 180, 22, 134, 20, 71, 61, 139, 100, 106, 70, 34, 165, 174, 98, 191, 2, 104, 133, 66, 158, 39, 106, 103, 76, 121, 134, 145, 51, 167, 63, 143, 68, 81, 139, 126, 66, 174, 166, 0, 134, 134, 135, 113, 99, 84, 112, 154, 105, 128, 157, 41, 119, 122, 177, 193, 167, 143, 48, 183, 169, 68, 76, 3, 76, 15, 34, 189, 132, 70, 15, 15, 118, 194, 146, 30, 131, 131, 154, 124, 145, 140, 37, 101, 121, 70, 74, 56, 3, 196, 105, 93, 8, 101, 189, 7, 74, 56, 59, 76, 194, 54, 106, 79, 70, 110, 158, 51, 191, 18, 70, 188, 53, 194, 104, 181, 179, 98, 44, 12, 84, 173, 71, 161, 102, 81, 162, 181, 165, 95, 84, 37, 52, 14, 8, 11, 194, 49, 100, 1, 149, 40, 23, 156, 94, 181, 93, 123, 113, 39, 130, 137, 16, 90, 195, 134, 12, 49, 95, 73, 163, 30, 125, 168, 177, 105, 70, 28, 39, 91, 185, 19, 56, 172, 187, 178, 161, 141, 192, 86, 92, 108, 49, 81, 76, 141, 19, 116, 83, 179, 133, 94, 148, 182, 85, 6, 26, 154, 129, 20, 22, 8, 124, 68, 65, 84, 10, 134, 146, 27, 59, 173, 158, 26, 162, 7, 165, 11, 64, 196, 119, 17, 79, 51, 6, 31, 94, 96, 14, 32, 43, 104, 87, 30, 65, 73, 191, 185, 0, 149, 107, 181, 47, 53, 149, 35, 175, 50, 153, 130, 41, 80, 116, 122, 140, 150, 55, 94, 139, 70, 78, 27, 89, 128, 51, 193, 68, 135, 104, 130, 97, 128, 159, 124, 145, 185, 164, 145, 193, 46, 89, 81, 122, 92, 184, 161, 97, 26, 176, 73, 180, 105, 154, 121, 81, 64, 107, 84, 199, 59, 3, 150, 37, 130, 129, 200, 19, 194, 200, 170, 134, 167, 47, 116, 173, 197, 10, 16, 10, 126, 58, 93, 118, 74, 12, 40, 181, 19, 92, 150, 85, 131, 3, 28, 94, 96, 86, 77, 99, 50, 147, 140, 198, 89, 120, 127, 60, 124, 92, 155, 62, 83, 95, 65, 121, 183, 153, 118, 177, 44, 167, 149, 21, 112, 49, 115, 42, 116, 26, 107, 3, 94, 25, 117, 50, 198, 169, 160, 172, 84, 177, 185, 196, 113, 6, 195, 111, 12, 15, 97, 25, 49, 48, 83, 66, 120, 86, 127, 112, 74, 125, 27, 164, 186, 57, 99, 122, 181, 21, 9, 15, 135, 43, 85, 182, 200, 29, 15, 54, 62, 88, 53, 66, 18, 132, 98, 3, 183, 130, 153, 121, 15, 106, 54, 44, 60, 109, 39, 116, 53, 74, 197, 67, 5, 62, 108, 33, 112, 151, 168, 145, 199, 13, 115, 38, 99, 114, 123, 5, 5, 150, 193, 175, 121, 197, 76, 76, 69, 179, 152, 80, 172, 84, 76, 63, 131, 139, 63, 199, 151, 34, 57, 128, 17, 44, 96, 107, 95, 142, 77, 40, 59, 169, 17, 8, 143, 190, 172, 31, 126, 118, 136, 63, 37, 99, 118, 47, 164, 148, 129, 92, 184, 152, 55, 199, 19, 22, 69, 161, 122, 188, 50, 10, 157, 186, 155, 16, 148, 73, 111, 114, 46, 188, 16, 6, 34, 87, 139, 175, 96, 42, 133, 58, 30, 48, 34, 180, 90, 182, 169, 52, 30, 75, 142, 93, 13, 81, 60, 108, 118, 168, 0, 142, 36, 60, 39, 180, 52, 53, 97, 171, 63, 12, 53, 100, 113, 194, 14, 58, 182, 87, 112, 61, 36, 40, 84, 25, 37, 36, 195, 190, 115, 7, 154, 31, 175, 51, 2, 121, 109, 101, 113, 159, 21, 14, 46, 125, 81, 182, 28, 59, 197, 170, 0, 111, 80, 187, 186, 141, 163, 76, 165, 94, 113, 129, 86, 10, 191, 133, 41, 146, 161, 191, 63, 187, 136, 139, 28, 52, 120, 131, 82, 163, 46, 122, 10, 166, 26, 114, 119, 158, 148, 79, 104, 69, 75, 146, 27, 197, 4, 98, 78, 144, 151, 129, 36, 159, 154, 8, 52, 48, 155, 164, 140, 57, 76, 7, 155, 141, 66, 173, 125, 48, 194, 1, 111, 41, 200, 150, 157, 154, 199, 108, 54, 52, 28, 131, 183, 166, 58, 169, 157, 166, 64, 28, 179, 77, 44, 70, 154, 34, 75, 11, 190, 21, 68, 24, 31, 128, 9, 164, 58, 176, 140, 106, 121, 168, 36, 180, 181, 179, 49, 30, 182, 119, 191, 57, 21, 87, 147, 19, 147, 34, 32, 129, 1, 26, 48, 6, 156, 18, 178, 22, 0, 37, 159, 78, 10, 131, 159, 49, 141, 69, 73, 44, 41, 108, 103, 9, 143, 59, 197, 65, 157, 87, 163, 163, 35, 18, 110, 86, 91, 13, 82, 132, 183, 138, 187, 31, 65, 117, 37, 188, 185, 162, 179, 121, 104, 149, 1, 155, 52, 109, 133, 91, 98, 24, 198, 47, 121, 132, 78, 36, 97, 189, 110, 126, 191, 187, 14, 14, 127, 198, 174, 146, 29, 197, 0, 76, 130, 56, 193, 12, 193, 52, 91, 51, 99, 82, 31, 112, 118, 11, 52, 54, 113, 20, 164, 118, 157, 181, 191, 175, 131, 155, 107, 83, 0, 47, 47, 74, 103, 117, 7, 8, 174, 160, 145, 47, 126, 43, 21, 56, 199, 183, 30, 36, 68, 61, 57, 163, 174, 135, 13, 26, 24, 155, 26, 196, 23, 94, 96, 99, 41, 135, 189, 67, 81, 181, 93, 197, 58, 99, 16, 185, 172, 10, 112, 35, 132, 49, 115] # while len(Q) < 9000: # a, b = random.randint(0, 9999), random.randint(0, 9999) # i = min(a,b) # j = max(a,b) # if j - i < 500: # continue # else: # Q.append((i,j)) ## Leo: 500 * 18 = 9000. (9000 items slow down IDE) T_large2_queries = 18 * [(1200, 9494), (4518, 9975), (4763, 8122), (260, 8007), (291, 1060), (1447, 6072), (481, 8564), (4168, 5797), (3920, 7735), (1511, 5159), (4208, 5871), (3276, 4029), (5596, 7196), (6284, 7317), (2964, 5036), (7233, 9127), (1667, 6361), (2160, 7478), (3030, 9440), (1342, 3582), (2463, 8848), (7007, 7984), (5896, 8539), (7164, 9781), (4665, 8121), (597, 5626), (6278, 7665), (5001, 7584), (2919, 7412), (1502, 2704), (233, 7539), (6561, 9547), (508, 4188), (3667, 7925), (3512, 4419), (6140, 9667), (385, 5772), (52, 7759), (2551, 9448), (166, 9642), (2368, 5485), (552, 5688), (7458, 9609), (1772, 9398), (589, 6235), (1321, 5514), (5733, 9692), (2027, 2993), (4641, 6646), (1971, 3900), (812, 5086), (1636, 3494), (3164, 8752), (4591, 7393), (2987, 8597), (3939, 6460), (4193, 5953), (663, 4470), (5067, 5701), (445, 5419), (1771, 7474), (6411, 8204), (871, 4591), (4205, 9384), (781, 8143), (242, 2045), (4263, 8963), (7343, 9313), (3462, 8739), (6117, 9402), (2688, 5120), (5007, 8227), (3973, 5731), (463, 3819), (1315, 6353), (8060, 8658), (2731, 9499), (3950, 5110), (5472, 6674), (4970, 8600), (1353, 2419), (13, 1383), (4677, 8670), (7376, 9964), (138, 2562), (1129, 7793), (2287, 2996), (5141, 9583), (1119, 7729), (50, 7921), (2440, 8582), (5058, 8758), (7356, 9962), (971, 9150), (667, 3834), (6970, 8216), (1131, 7463), (5272, 6542), (2856, 5679), (8566, 9275), (2263, 7898), (4625, 5898), (765, 7346), (1210, 8468), (3517, 7850), (1780, 5523), (5446, 8393), (391, 5240), (1201, 5899), (3414, 9006), (1577, 4670), (7280, 8124), (3238, 7853), (2928, 4905), (617, 3183), (4042, 8604), (597, 3978), (978, 1508), (2182, 7668), (1792, 5764), (1906, 7602), (3718, 8579), (4718, 6586), (1910, 2621), (4389, 8246), (5347, 6520), (1346, 6406), (2337, 6196), (6325, 9302), (1081, 9951), (689, 5009), (174, 9695), (5191, 9509), (4094, 7334), (109, 6991), (1391, 3797), (932, 4799), (2300, 6764), (97, 9299), (1837, 9507), (2494, 3720), (436, 3703), (4387, 6132), (5593, 6780), (3451, 8411), (4685, 7237), (2566, 3982), (33, 8302), (5071, 6694), (5038, 5600), (3692, 5008), (4485, 9428), (2114, 8919), (2961, 3840), (115, 6191), (765, 4171), (1891, 5010), (5559, 8046), (4260, 8764), (825, 7600), (3350, 4738), (3153, 5926), (4224, 5405), (5721, 7381), (4547, 5144), (2531, 7683), (4970, 9306), (3231, 4401), (5853, 9287), (1667, 4570), (131, 1464), (2388, 7755), (60, 4828), (5456, 9241), (1151, 6629), (557, 1824), (3084, 9717), (3151, 4491), (4403, 7424), (1061, 4258), (4911, 6427), (3854, 5989), (2700, 7475), (1156, 9090), (1418, 8281), (67, 653), (4324, 9599), (6918, 9763), (6601, 8926), (348, 4445), (3459, 7425), (2010, 5846), (4200, 5579), (3200, 7834), (3333, 6946), (806, 7194), (1289, 4717), (1472, 4781), (7469, 9790), (1405, 7301), (5748, 6556), (6553, 9592), (503, 3015), (2042, 9382), (1618, 4027), (26, 588), (733, 2080), (8102, 9267), (1144, 6078), (3958, 8223), (979, 3344), (4860, 9745), (4252, 5578), (2374, 7507), (2044, 9837), (1299, 8735), (8862, 9981), (3394, 3961), (3377, 7655), (6353, 8365), (5742, 7469), (862, 3257), (2129, 4106), (913, 7611), (2084, 4997), (1620, 8871), (94, 5479), (818, 1382), (529, 5466), (1360, 6245), (961, 7374), (1577, 5590), (6635, 9355), (1461, 2182), (6012, 6894), (3410, 8935), (6535, 8289), (1591, 7666), (7912, 8692), (1743, 3559), (7633, 9961), (3615, 5074), (1951, 5369), (507, 5868), (3131, 5520), (2542, 6971), (3055, 8603), (8041, 8596), (1655, 3848), (4249, 5680), (325, 3686), (415, 1287), (794, 5283), (4367, 6955), (7107, 8219), (931, 5214), (3974, 8319), (4646, 8460), (4346, 7825), (6787, 8831), (4335, 6590), (2599, 7408), (4555, 6903), (1797, 5946), (2173, 8404), (2784, 8441), (1654, 5863), (6828, 8523), (668, 8022), (7305, 9554), (4900, 8698), (2629, 4575), (2307, 8227), (1740, 5540), (7368, 9283), (413, 8141), (1893, 5610), (4013, 5475), (533, 3064), (1635, 2428), (2414, 4375), (1064, 3434), (502, 8162), (3973, 8786), (6939, 8219), (161, 4427), (1481, 5599), (526, 5480), (1213, 5707), (3496, 7799), (3049, 9418), (3106, 7532), (2261, 5768), (3240, 7678), (968, 8273), (3306, 7006), (3836, 8794), (5882, 6614), (2483, 5024), (645, 4459), (3084, 8525), (5507, 7291), (3921, 8922), (4713, 6753), (3138, 9169), (793, 9258), (6521, 9609), (5831, 8849), (432, 7585), (4146, 8378), (1436, 3367), (2821, 6657), (3391, 4792), (443, 4414), (6076, 9558), (6053, 9344), (95, 9236), (92, 4122), (4280, 5901), (2479, 3005), (7065, 7795), (2529, 4075), (5044, 5730), (6481, 8683), (5335, 8954), (2125, 6754), (5856, 9039), (5549, 6118), (2505, 9798), (1240, 5322), (120, 4952), (5435, 8267), (3279, 9969), (5946, 7521), (8254, 8956), (3010, 8364), (8406, 9391), (3513, 5403), (5291, 6779), (5505, 9657), (521, 2581), (2426, 3589), (2727, 5600), (4763, 9970), (2010, 5313), (1729, 2524), (1984, 3145), (3224, 4008), (1399, 7564), (2240, 6231), (620, 9156), (3408, 9762), (294, 9539), (1479, 6467), (1555, 9870), (3324, 5728), (6293, 8053), (2820, 4756), (3531, 8026), (4338, 5137), (1997, 7827), (2552, 8594), (7059, 8718), (692, 9736), (4688, 5488), (5359, 8868), (5343, 9171), (1249, 9998), (801, 6662), (8299, 9456), (6268, 7803), (451, 1506), (2893, 6432), (861, 7778), (3496, 9869), (563, 3359), (4227, 7751), (655, 2603), (1240, 8465), (758, 8991), (965, 8716), (575, 4004), (635, 1577), (5448, 6129), (4688, 6749), (809, 8043), (5147, 6903), (2887, 5069), (1088, 6546), (5578, 7285), (1165, 6266), (4169, 5219), (634, 2361), (1465, 4863), (6024, 6855), (1411, 3563), (5460, 9910), (1980, 5785), (2223, 6539), (180, 3443), (137, 3548), (8231, 9513), (5103, 8025), (2442, 8526), (2252, 8868), (3733, 7613), (946, 4399), (6938, 9844), (5088, 9945), (1844, 6051), (4208, 9243), (3966, 6298), (6117, 9357), (1250, 8902), (1303, 4553), (3522, 6054), (888, 4337), (4165, 9671), (4795, 6305), (3302, 5677), (5752, 7753), (3847, 5583), (908, 4994), (3177, 6223), (3925, 9079), (87, 791), (7630, 9837), (6185, 7168), (3510, 6469), (1312, 8629), (622, 4348), (174, 4104), (5465, 7427), (468, 9170), (3380, 7437), (1733, 4968), (6403, 9220), (2613, 5229), (3269, 5464), (2893, 5876), (6757, 7602), (4294, 5106), (7690, 8490), (1177, 2867), (2147, 6901), (1541, 3447), (258, 4175), (5427, 6135), (1076, 3714), (3907, 8756), (729, 2579), (2309, 8115), (1831, 5020), (48, 7369), (4755, 5727), (4161, 8734), (2551, 7433), (1289, 3036), (3343, 8782), (7239, 8763), (3000, 7423), (1955, 3405), (3740, 5262), (1891, 9189), (6598, 9640), (5168, 6886), (8119, 9527), (408, 2319), (3971, 6225), (1309, 3622), (1797, 8728), (2883, 3712), (7210, 9869), (1776, 6370), (4415, 9336), (129, 5662), (3132, 8500), (5052, 9002), (2710, 8501), (4902, 6320), (8339, 9755), (262, 2986), (1723, 6890), (4973, 6769), (8850, 9836), (1842, 8072), (8170, 9307), (2040, 7727), (2620, 4427), (968, 8159), (3182, 9492), (6561, 9376), (3105, 9646), (6326, 6913), (1693, 8588), (5668, 8987), (406, 3041), (4974, 6787), (2065, 5768), (7639, 9472)] # [random.randint(0, 50000-1) for i in xrange(50000)] # Leo[edit]: Took a 1000 sample and clone it 50 times instead. 50k items in IDE slow it down a lot. T_large3 = 50 * [11651, 14335, 48737, 3875, 48119, 39323, 35173, 8035, 40762, 23107, 9276, 36426, 44535, 45365, 45436, 14894, 45997, 34049, 38728, 26361, 35900, 35590, 32072, 9406, 6204, 2413, 5255, 34093, 8613, 29305, 22635, 12623, 8398, 44636, 4718, 12512, 12596, 8468, 32882, 4976, 14342, 13382, 45034, 52, 20830, 37388, 35122, 19803, 12607, 12555, 31166, 12830, 17346, 2728, 41299, 32646, 16022, 17114, 35998, 24347, 26668, 1945, 33368, 49468, 3920, 43438, 23811, 5129, 2811, 20389, 18593, 12024, 43581, 14994, 23741, 3237, 20015, 30227, 42759, 12983, 3158, 11513, 35829, 5665, 6464, 45283, 25710, 6210, 9781, 20723, 4355, 16008, 6685, 38684, 17447, 4495, 8438, 36259, 17309, 49652, 35158, 34261, 17172, 894, 45492, 10090, 27441, 6453, 5002, 40399, 20146, 44783, 1126, 22388, 33932, 42228, 34625, 43678, 13970, 32866, 4935, 15367, 2809, 23044, 10018, 33451, 34436, 13254, 16078, 16106, 49182, 12377, 24269, 36996, 38219, 27784, 43844, 41805, 14429, 11926, 4912, 46158, 41193, 38448, 8876, 33078, 23006, 49042, 12596, 47563, 3130, 17659, 29020, 7358, 33544, 6200, 43307, 34209, 37430, 28867, 40862, 44775, 2432, 27037, 20742, 3919, 44277, 22230, 7715, 4843, 21472, 46393, 19391, 48, 13505, 4306, 42742, 23980, 834, 11981, 20812, 20798, 1725, 42968, 16357, 10422, 9981, 25602, 45316, 10373, 41090, 4767, 2997, 23490, 43740, 33331, 13418, 31537, 3729, 2749, 28238, 31829, 18807, 37276, 39985, 42523, 49313, 11856, 14760, 14671, 5951, 41120, 29268, 32173, 37227, 29426, 40613, 9405, 35261, 8666, 9861, 40166, 20640, 42362, 15947, 48405, 18516, 39490, 22871, 29418, 108, 8505, 28906, 30330, 25897, 488, 186, 47803, 20469, 27462, 26019, 39275, 8435, 15592, 26677, 42146, 23487, 44604, 10663, 5584, 28382, 12023, 3288, 9596, 15619, 30718, 39710, 39831, 19552, 38279, 28185, 34166, 38225, 32747, 26656, 33435, 27908, 27931, 8446, 30466, 13874, 14858, 10529, 30674, 3814, 13381, 44669, 48642, 5342, 28602, 15872, 4466, 47185, 38543, 25013, 20099, 14307, 23744, 40503, 2267, 6916, 29865, 31323, 49324, 48209, 20700, 49450, 43258, 8457, 24609, 29954, 40523, 9632, 14531, 39220, 343, 1900, 23253, 47996, 10018, 28299, 4465, 27839, 47390, 16041, 26928, 39537, 30759, 3174, 40038, 42689, 41923, 23192, 16020, 36394, 49377, 25682, 2490, 19652, 37754, 26786, 35999, 5066, 36599, 26015, 17133, 26706, 44245, 7354, 38202, 15674, 26179, 21350, 22819, 43577, 10221, 27303, 33311, 25450, 49837, 4547, 4208, 605, 15666, 33141, 37894, 35055, 24797, 23343, 18034, 39512, 35665, 19869, 44076, 34023, 21217, 9974, 26056, 25573, 31946, 2909, 34085, 40914, 22796, 44276, 10318, 36457, 18060, 20033, 20777, 19344, 38825, 42761, 12397, 4001, 24040, 25088, 12857, 49090, 16415, 6421, 33036, 13500, 5255, 16177, 36225, 44847, 30300, 40886, 48170, 41895, 44777, 36254, 13929, 49465, 43689, 39783, 223, 29032, 49733, 36786, 21197, 13659, 13212, 12850, 18594, 706, 46663, 23006, 48719, 43929, 4989, 45282, 24381, 44048, 4431, 9689, 32616, 39417, 30494, 21357, 33081, 43056, 8509, 27669, 8070, 7883, 12321, 40455, 35417, 3543, 17824, 44835, 9768, 10408, 5232, 4247, 46121, 14915, 20182, 26585, 35553, 15974, 5301, 39452, 45930, 24203, 3686, 20015, 2704, 38316, 28271, 47238, 9296, 6439, 174, 17318, 22454, 41759, 3331, 21281, 8077, 41235, 41312, 42417, 27293, 20638, 47724, 22423, 6891, 12624, 41641, 35100, 47166, 41619, 36434, 42506, 17952, 13604, 49005, 28458, 5845, 17455, 39762, 35949, 45509, 43093, 21142, 37398, 45910, 1689, 18270, 32978, 9980, 19164, 45513, 24997, 43685, 943, 14455, 48535, 14861, 11705, 9636, 12907, 28294, 23591, 34774, 41856, 36041, 38483, 23893, 15034, 13495, 47709, 25510, 24474, 754, 30193, 48302, 27344, 28442, 31390, 12401, 45127, 42511, 49966, 9431, 21378, 49342, 6082, 8052, 7889, 10325, 16050, 18645, 34925, 44914, 40772, 15762, 22083, 37390, 49042, 31693, 40877, 17483, 49932, 49398, 49344, 45925, 25161, 21077, 26108, 3505, 42347, 35895, 35267, 17877, 25394, 8438, 34858, 19549, 44102, 40661, 20226, 27602, 48735, 49343, 29455, 34782, 12753, 48181, 17198, 8547, 6385, 3725, 13602, 49446, 40240, 24163, 38411, 15636, 41457, 340, 384, 23553, 3068, 37465, 39828, 3152, 45647, 12245, 32265, 13218, 1167, 41600, 34798, 14551, 29759, 24578, 15849, 16051, 27678, 10830, 28599, 17957, 20795, 22226, 32367, 26127, 30895, 25448, 47988, 49967, 976, 24404, 24405, 18561, 49584, 46509, 31308, 11037, 40763, 37816, 39286, 15489, 10305, 48431, 5445, 8480, 22595, 20945, 20003, 7424, 24241, 21391, 20832, 5066, 40406, 30911, 13293, 11388, 24681, 49754, 8236, 31808, 15875, 33437, 28854, 8390, 44254, 13777, 13603, 36713, 28021, 3398, 40385, 38517, 35623, 5108, 16104, 25124, 7985, 26415, 10997, 43446, 9905, 36857, 42062, 30287, 183, 14503, 30708, 42563, 25776, 10337, 33067, 13746, 19953, 21654, 11054, 4887, 29792, 43612, 24238, 49749, 22706, 13637, 24140, 49090, 13877, 48312, 9270, 49640, 28593, 42109, 34053, 4367, 19441, 17269, 6177, 446, 4, 18765, 22480, 49645, 17849, 23110, 37666, 39699, 1064, 1338, 12196, 41166, 8139, 49866, 19815, 11928, 19662, 14156, 20068, 14141, 16957, 8573, 9228, 11502, 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16654, 35442, 30863, 46052, 45754, 46, 33149, 34675, 14944, 8241, 43736, 6830, 11597, 21464, 11456, 41483, 25929, 22446, 4933, 4232, 2595, 35205, 979, 20546, 49612, 48896, 2503, 21773, 35490, 21287, 45892, 38632, 7993, 18491, 3081, 38698, 4624, 2282, 43912, 17753, 12560, 2345, 32517, 19347, 35090, 3385, 8883, 42275, 48383, 10679, 41481, 38661, 37846, 14866, 9882, 18625, 3910, 9533, 23427, 5308, 47620, 1855, 43161, 47645, 14423, 41211, 25614, 17252, 10451, 13947, 29606, 39994, 26443, 24547, 9942, 4685, 38499, 33442, 24521, 38060, 47814, 2364, 36087, 44479, 46124, 38264, 23949, 8004, 861, 39340, 33346, 36256, 45753, 48982, 47975, 43930, 27803, 32656, 34418, 49125, 16990, 44512, 38081, 12887, 4343, 4655, 24785, 522, 20043, 46195, 48887, 48063, 7119, 10078, 46715, 11914, 47520, 44422] # Q = [] # while len(Q) < 90000: # a, b = random.randint(0, 50000-1), random.randint(0, 50000-1) # i = min(a, b) # j = max(a, b) # if j - i < 10000: # continue # else: # Q.append((i, j)) # # Leo note: List with 90,000 elements is rather large and slows down IDE. Workaround: take the first 63 elements and duplicate it 1587 times. # mst: 2s, 862ms # mst starr: 2s 887ms <<< Interestingly enough, Tree array implementation doesn't give us much of a benifit. # naive: 56s! <<< Exponential growth observed here. T_large3_queries = 1587 * [(17459, 41445), (2867, 46776), (21890, 35494), (10413, 37391), (18814, 36558), (8717, 36794), (6054, 16332), (10237, 36801), (16380, 41365), (28254, 43939), (5944, 25342), (17449, 28410), (10297, 22554), (6017, 30209), (2800, 18339), (19153, 29603), (22948, 35368), (14412, 26648), (25779, 39097), (15089, 36888), (11275, 34909), (6383, 17036), (29806, 45000), (2252, 47316), (186, 39834), (7924, 37000), (4889, 35693), (14743, 45818), (24355, 36795), (16800, 37588), (23197, 44021), (20748, 46662), (21562, 35182), (4709, 41310), (20088, 42635), (391, 27711), (19533, 29721), (7015, 19397), (1781, 33282), (1711, 32460), (17994, 41199), (11159, 31606), (9453, 21142), (7966, 30053), (17933, 43031), (10475, 29688), (14370, 44780), (9907, 49181), (7055, 44731), (902, 26383), (14419, 49013), (4811, 17793), (3153, 36058), (1552, 15861), (21007, 45243), (1804, 40105), (31506, 49651), (5327, 30121), (8314, 19925), (15033, 27091), (23777, 49241), (5407, 24078), (10769, 30332)] @skipIf(T_large_skip, "T_large_skip is True") def test_performance2_naive(self): t_count = 0 for i, j in self.T_large2_queries: min_val = min(self.T_large2[i:j+1]) t_count += 1 print("test_performance2_naive completed tests:", t_count) @skipIf(T_large_skip, "T_large_skip is True") def test_performance2_mst(self): mst = SegmentTree(self.T_large2_queries, min) t_count = 0 for i, j in self.T_large2_queries: min_val = mst.query(i,j) t_count += 1 print("test_performance2_mst completed tests:", t_count) @skipIf(T_large_skip, "T_large_skip is True") def test_performance2_mst_starr(self): mst = SegmentTreeArr(self.T_large2_queries, min) t_count = 0 for i, j in self.T_large2_queries: min_val = mst.query(i,j) t_count += 1 print("test_performance2_mst_starr completed tests:", t_count) # This one is very slow. ~1 minute. Very good showcase of performance difference. @skipIf(T_large_skip, "T_large_skip is True") def test_performance3_naive(self): t_count = 0 for i, j in self.T_large3_queries: min_val = min(self.T_large3[i:j+1]) t_count += 1 print("test_performance3_naive completed tests:", t_count) @skipIf(T_large_skip, "T_large_skip is True") def test_performance3_mst(self): mst = SegmentTree(self.T_large3, min) t_count = 0 for i, j in self.T_large3_queries: min_val = mst.query(i,j) t_count += 1 print("test_performance3_mst completed tests:", t_count) @skipIf(T_large_skip, "T_large_skip is True") def test_performance3_mst_starr(self): mst = SegmentTreeArr(self.T_large3, min) t_count = 0 for i, j in self.T_large3_queries: min_val = mst.query(i,j) t_count += 1 print("test_performance3_mst_starr completed tests:", t_count) def test_min_queries_T0(self): min_segment_tree = SegmentTree(self.T0, min) # print "Min for 1,3 = ", min_segment_tree.query(1,3), " (expecting 1)" for i, j in combinations(list(range(len(self.T0))), 2): self.assertEqual(min(self.T0[i:j+1]), min_segment_tree.query(i, j)) def test_min_queries_T1(self): mst = SegmentTree(self.T1, min) mst_min = mst.query(0, 7) min_min = min(self.T1[0:7+1]) self.assertEqual(mst_min, min_min, "{} {}".format(mst_min, min_min)) def test_max_queries_T0(self): max_segment_tree = SegmentTree(self.T0, max) # print "Min for 1,3 = ", min_segment_tree.query(1,3), " (expecting 1)" for i, j in combinations(list(range(len(self.T0))), 2): self.assertEqual(max(self.T0[i:j+1]), max_segment_tree.query(i, j)) def test_max_queries_T1(self): mst = SegmentTree(self.T1, max) mst_max = mst.query(0, 7) max_max = max(self.T1[0:7+1]) self.assertEqual(mst_max, max_max, "{} {}".format(mst_max, max_max)) def test_starr_min_queries_T0(self): min_segment_tree = SegmentTreeArr(self.T0, min) # print "Min for 1,3 = ", min_segment_tree.query(1,3), " (expecting 1)" for i, j in combinations(list(range(len(self.T0))), 2): self.assertEqual(min(self.T0[i:j+1]), min_segment_tree.query(i, j)) def test_starr_min_queries_T1(self): mst = SegmentTreeArr(self.T1, min) mst_min = mst.query(0, 7) min_min = min(self.T1[0:7+1]) self.assertEqual(mst_min, min_min, "{} {}".format(mst_min, min_min)) def test_min_queries_T_Rand(self): """Test with randomly generated lists. Test every possible index combination. I caught a few subtle bugs with this method. Random testing is good! """ for t in range(1, 70): L = [random.randint(0, 50) for _ in range(t)] # print "L: ", L # Debug # print "List with len: ", len(L) min_segment_tree = SegmentTree(L, min) for i, j in combinations(list(range(len(L))), 2): m = min(L[i:j+1]) mq = min_segment_tree.query(i,j) # print m == mq, i, j, L[i:j+1], m, mq # Debug self.assertEqual(m, mq) def test_max_queries_T_Rand(self): """Test with randomly generated lists. Test every possible index combination. I caught a few subtle bugs with this method. Random testing is good! """ for t in range(1, 70): L = [random.randint(0, 50) for _ in range(t)] # print "L: ", L # Debug # print "List with len: ", len(L) min_segment_tree = SegmentTree(L, max) for i, j in combinations(list(range(len(L))), 2): m = max(L[i:j+1]) mq = min_segment_tree.query(i,j) # print m == mq, i, j, L[i:j+1], m, mq # Debug self.assertEqual(m, mq) def test_min_queries_T_Rand_starr(self): """As above except for SegmentTreeArr""" for t in range(1, 70): L = [random.randint(0, 50) for _ in range(t)] min_segment_tree = SegmentTreeArr(L, min) for i, j in combinations(list(range(len(L))), 2): m = min(L[i:j+1]) mq = min_segment_tree.query(i,j) self.assertEqual(m, mq) @skipIf(T_large_skip, "T_large_skip is True") def test_performance_naive(self): t_count = 0 for i, j in combinations(list(range(len(self.T_large))), 2): min_val = min(self.T_large[i:j+1]) t_count += 1 print("naive implemented did ", t_count, "tests") pass @skipIf(T_large_skip, "T_large_skip is True") def test_performance_mst_generation(self): mst = SegmentTree(self.T_large, min) @skipIf(T_large_skip, "T_large_skip is True") def test_performance_mst_generation_starr(self): mst = SegmentTreeArr(self.T_large, min) @skipIf(T_large_skip, "T_large_skip is True") def test_performance_mst_query(self): mst = SegmentTree(self.T_large, min) t_count = 0 for i, j in combinations(list(range(len(self.T_large))), 2): min_val = mst.query(i, j) t_count += 1 print("mst implementation did ", t_count, "tests") pass @skipIf(T_large_skip, "T_large_skip is True") def test_performance_mst_query_starr(self): mst = SegmentTreeArr(self.T_large, min) t_count = 0 for i, j in combinations(list(range(len(self.T_large))), 2): min_val = mst.query(i, j) t_count += 1 print("mst implementation did ", t_count, "tests") pass # todo - max segment tree # todo - sum_segment tree

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90a3a7046dba696b500543344f552d5e48c95b09

183

py

Python

parsing/exceptions.py

davesque/parsing.py

ff8b20e53b94e79571971ef23f0e5091e2786566

[ "MIT" ]

1

2020-11-14T13:06:42.000Z

parsing/exceptions.py

davesque/parsing.py

ff8b20e53b94e79571971ef23f0e5091e2786566

[ "MIT" ]

null

parsing/exceptions.py

davesque/parsing.py

ff8b20e53b94e79571971ef23f0e5091e2786566

[ "MIT" ]

null

class ParseError(Exception): pass class NotEnoughInputError(ParseError): pass class ImproperInputError(ParseError): pass class PlaceholderError(Exception): pass

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90b4ef5432ba6667039b82c4d8cf114cdc1b742c

625

py

Python

Syclop_e-prop-rl/testop.py

eldadassa/eligibility_propagation

6ca02ab509785e40c01161f8aa23ef60c49887bb

[ "BSD-3-Clause" ]

null

Syclop_e-prop-rl/testop.py

eldadassa/eligibility_propagation

6ca02ab509785e40c01161f8aa23ef60c49887bb

[ "BSD-3-Clause" ]

null

Syclop_e-prop-rl/testop.py

eldadassa/eligibility_propagation

6ca02ab509785e40c01161f8aa23ef60c49887bb

[ "BSD-3-Clause" ]

null

from __future__ import absolute_import from __future__ import division from __future__ import print_function import os import tensorflow as tf dir_path = os.path.dirname(os.path.realpath(__file__)) _tst_module = tf.load_op_library(os.path.join(dir_path, 'tfoptest.so')) def _game_dir(): return os.path.join(os.path.abspath(os.path.dirname(__file__)), "roms") def get_game_path(game_name): return os.path.join(_game_dir(), game_name) + ".bin" def optest(action, reset, max_episode_length, game_name, **kwargs): return _tst_module.optest(action, reset, max_episode_length, get_game_path(game_name), **kwargs)

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90c75150f46f0c55fe5a2ff04097af88200c3d26

261

py

Python

thomas/magic_coins1.py

thomas-siwoo/python-edu

cf6dc09b98383e2b4117f33239155d94426a6200

[ "Apache-2.0" ]

null

thomas/magic_coins1.py

thomas-siwoo/python-edu

cf6dc09b98383e2b4117f33239155d94426a6200

[ "Apache-2.0" ]

null

thomas/magic_coins1.py

thomas-siwoo/python-edu

cf6dc09b98383e2b4117f33239155d94426a6200

[ "Apache-2.0" ]

null

found_coins = 20 magic_coins = 10 stolen_coins = 3 print(found_coins + magic_coins * 365 - stolen_coins * 52) stolen_coins = 2 print(found_coins + magic_coins * 365 - stolen_coins * 52) magic_coins = 13 print(found_coins + magic_coins * 365 - stolen_coins * 52)

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90e20145840b40d80ad3c66c76626873c3b4e478

92

py

Python

fechbase.py

h4ck3rm1k3/FEC-Field-Documentation

c2f1f36e14c67ac3656c09f801b9f595d3e9f92e

[ "Unlicense" ]

1

2016-06-13T23:54:31.000Z

fechbase.py

h4ck3rm1k3/FEC-Field-Documentation

c2f1f36e14c67ac3656c09f801b9f595d3e9f92e

[ "Unlicense" ]

null

fechbase.py

h4ck3rm1k3/FEC-Field-Documentation

c2f1f36e14c67ac3656c09f801b9f595d3e9f92e

[ "Unlicense" ]

1

2019-07-03T10:35:19.000Z

class RecordsBase: pass class VersionBase: pass class VersionsBase: pass

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90e418c67603c1501d61c49b20542048b638bc32

22

py

Python

amazon_dash/__init__.py

luke255/amazon-dash

c3642e6c0e6eba889772bab2e604bc245902532e

[ "MIT" ]

765

2016-11-17T03:13:10.000Z

2022-03-31T22:48:14.000Z

amazon_dash/__init__.py

luke255/amazon-dash

c3642e6c0e6eba889772bab2e604bc245902532e

[ "MIT" ]

171

2016-12-02T23:56:44.000Z

2022-03-09T23:46:09.000Z

amazon_dash/__init__.py

luke255/amazon-dash

c3642e6c0e6eba889772bab2e604bc245902532e

[ "MIT" ]

77

2016-11-17T12:02:30.000Z

2022-03-09T20:53:46.000Z

__version__ = '1.4.0'

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29151dccc58d4305ab4c36324410e059bfa62664

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py

Python

resources/dot_PyCharm/system/python_stubs/-762174762/PySide/QtGui/QMdiArea.py

basepipe/developer_onboarding

05b6a776f8974c89517868131b201f11c6c2a5ad

[ "MIT" ]

1

2020-04-20T02:27:20.000Z

resources/dot_PyCharm/system/python_stubs/cache/8cdc475d469a13122bc4bc6c3ac1c215d93d5f120f5cc1ef33a8f3088ee54d8e/PySide/QtGui/QMdiArea.py

basepipe/developer_onboarding

05b6a776f8974c89517868131b201f11c6c2a5ad

[ "MIT" ]

null

resources/dot_PyCharm/system/python_stubs/cache/8cdc475d469a13122bc4bc6c3ac1c215d93d5f120f5cc1ef33a8f3088ee54d8e/PySide/QtGui/QMdiArea.py

basepipe/developer_onboarding

05b6a776f8974c89517868131b201f11c6c2a5ad

[ "MIT" ]

null

# encoding: utf-8 # module PySide.QtGui # from C:\Python27\lib\site-packages\PySide\QtGui.pyd # by generator 1.147 # no doc # imports import PySide.QtCore as __PySide_QtCore import Shiboken as __Shiboken from QAbstractScrollArea import QAbstractScrollArea class QMdiArea(QAbstractScrollArea): # no doc def activateNextSubWindow(self, *args, **kwargs): # real signature unknown pass def activatePreviousSubWindow(self, *args, **kwargs): # real signature unknown pass def activationOrder(self, *args, **kwargs): # real signature unknown pass def activeSubWindow(self, *args, **kwargs): # real signature unknown pass def addSubWindow(self, *args, **kwargs): # real signature unknown pass def background(self, *args, **kwargs): # real signature unknown pass def cascadeSubWindows(self, *args, **kwargs): # real signature unknown pass def childEvent(self, *args, **kwargs): # real signature unknown pass def closeActiveSubWindow(self, *args, **kwargs): # real signature unknown pass def closeAllSubWindows(self, *args, **kwargs): # real signature unknown pass def currentSubWindow(self, *args, **kwargs): # real signature unknown pass def documentMode(self, *args, **kwargs): # real signature unknown pass def event(self, *args, **kwargs): # real signature unknown pass def eventFilter(self, *args, **kwargs): # real signature unknown pass def minimumSizeHint(self, *args, **kwargs): # real signature unknown pass def paintEvent(self, *args, **kwargs): # real signature unknown pass def removeSubWindow(self, *args, **kwargs): # real signature unknown pass def resizeEvent(self, *args, **kwargs): # real signature unknown pass def scrollContentsBy(self, *args, **kwargs): # real signature unknown pass def setActivationOrder(self, *args, **kwargs): # real signature unknown pass def setActiveSubWindow(self, *args, **kwargs): # real signature unknown pass def setBackground(self, *args, **kwargs): # real signature unknown pass def setDocumentMode(self, *args, **kwargs): # real signature unknown pass def setOption(self, *args, **kwargs): # real signature unknown pass def setTabPosition(self, *args, **kwargs): # real signature unknown pass def setTabsClosable(self, *args, **kwargs): # real signature unknown pass def setTabShape(self, *args, **kwargs): # real signature unknown pass def setTabsMovable(self, *args, **kwargs): # real signature unknown pass def setupViewport(self, *args, **kwargs): # real signature unknown pass def setViewMode(self, *args, **kwargs): # real signature unknown pass def showEvent(self, *args, **kwargs): # real signature unknown pass def sizeHint(self, *args, **kwargs): # real signature unknown pass def subWindowActivated(self, *args, **kwargs): # real signature unknown """ Signal """ pass def subWindowList(self, *args, **kwargs): # real signature unknown pass def tabPosition(self, *args, **kwargs): # real signature unknown pass def tabsClosable(self, *args, **kwargs): # real signature unknown pass def tabShape(self, *args, **kwargs): # real signature unknown pass def tabsMovable(self, *args, **kwargs): # real signature unknown pass def testOption(self, *args, **kwargs): # real signature unknown pass def tileSubWindows(self, *args, **kwargs): # real signature unknown pass def timerEvent(self, *args, **kwargs): # real signature unknown pass def viewMode(self, *args, **kwargs): # real signature unknown pass def viewportEvent(self, *args, **kwargs): # real signature unknown pass def __init__(self, *args, **kwargs): # real signature unknown pass @staticmethod # known case of __new__ def __new__(S, *more): # real signature unknown; restored from __doc__ """ T.__new__(S, ...) -> a new object with type S, a subtype of T """ pass ActivationHistoryOrder = PySide.QtGui.QMdiArea.WindowOrder.ActivationHistoryOrder AreaOption = None # (!) real value is "<type 'PySide.QtGui.QMdiArea.AreaOption'>" AreaOptions = None # (!) real value is "<type 'AreaOptions'>" CreationOrder = PySide.QtGui.QMdiArea.WindowOrder.CreationOrder DontMaximizeSubWindowOnActivation = PySide.QtGui.QMdiArea.AreaOption.DontMaximizeSubWindowOnActivation StackingOrder = PySide.QtGui.QMdiArea.WindowOrder.StackingOrder staticMetaObject = None # (!) real value is '<PySide.QtCore.QMetaObject object at 0x000000000407FB48>' SubWindowView = PySide.QtGui.QMdiArea.ViewMode.SubWindowView TabbedView = PySide.QtGui.QMdiArea.ViewMode.TabbedView ViewMode = None # (!) real value is "<type 'PySide.QtGui.QMdiArea.ViewMode'>" WindowOrder = None # (!) real value is "<type 'PySide.QtGui.QMdiArea.WindowOrder'>"

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29440568b89336f9205b59959743ed4c1fc0a1b9

479

py

Python

setup.py

kbdancer/WIFIHTTPMonitor

a9bff2c0a19cc98d1187fe06ec3faffe74f6bb3b

[ "MIT" ]

30

2016-06-30T17:02:40.000Z

2021-09-01T13:56:36.000Z

setup.py

jiuge10235/WIFIHTTPMonitor-1

a9bff2c0a19cc98d1187fe06ec3faffe74f6bb3b

[ "MIT" ]

1

2018-05-05T01:05:27.000Z

setup.py

jiuge10235/WIFIHTTPMonitor-1

a9bff2c0a19cc98d1187fe06ec3faffe74f6bb3b

[ "MIT" ]

19

2016-10-15T14:55:19.000Z

2021-03-20T08:47:53.000Z

#!/usr/bin/env python # coding=utf-8 # code by 92ez.com import os os.system('apt-get update && apt-get dist-upgrade -y') os.system('apt-get install python-dev -y') os.system('apt-get install gcc -y') os.system('apt-get install rfkill -y') os.system('apt-get -y install isc-dhcp-server') os.system('wget https://bootstrap.pypa.io/get-pip.py') os.system('python get-pip.py') os.system('pip install -U web.py') os.system('pip install -U psutil') os.system('pip install -U scapy')

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py

Python

openstackclient/tests/unit/common/test_quota.py

BeyondTheClouds/python-openstackclient

45af14ca72b44c03f14189ac61a29253faf03bd7

[ "Apache-2.0" ]

5

2015-02-26T18:03:07.000Z

2017-05-01T20:17:20.000Z

openstackclient/tests/unit/common/test_quota.py

BeyondTheClouds/python-openstackclient

45af14ca72b44c03f14189ac61a29253faf03bd7

[ "Apache-2.0" ]

null

openstackclient/tests/unit/common/test_quota.py

BeyondTheClouds/python-openstackclient

45af14ca72b44c03f14189ac61a29253faf03bd7

[ "Apache-2.0" ]

1

2020-07-21T02:18:23.000Z

# 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 copy import mock from osc_lib import exceptions from openstackclient.common import quota from openstackclient.tests.unit.compute.v2 import fakes as compute_fakes from openstackclient.tests.unit import fakes from openstackclient.tests.unit.identity.v2_0 import fakes as identity_fakes from openstackclient.tests.unit.identity.v3 import fakes as identity_fakes_v3 from openstackclient.tests.unit.network.v2 import fakes as network_fakes from openstackclient.tests.unit.volume.v2 import fakes as volume_fakes class FakeQuotaResource(fakes.FakeResource): _keys = {'property': 'value'} def set_keys(self, args): self._keys.update(args) def unset_keys(self, keys): for key in keys: self._keys.pop(key, None) def get_keys(self): return self._keys class TestQuota(compute_fakes.TestComputev2): def setUp(self): super(TestQuota, self).setUp() # Set up common projects self.projects = identity_fakes_v3.FakeProject.create_projects(count=2) self.projects_mock = self.app.client_manager.identity.projects self.projects_mock.reset_mock() self.projects_mock.get.return_value = self.projects[0] self.compute_quotas_mock = self.app.client_manager.compute.quotas self.compute_quotas_mock.reset_mock() self.compute_quotas_class_mock = \ self.app.client_manager.compute.quota_classes self.compute_quotas_class_mock.reset_mock() self.volume_quotas_mock = self.app.client_manager.volume.quotas self.volume_quotas_mock.reset_mock() self.volume_quotas_class_mock = \ self.app.client_manager.volume.quota_classes self.volume_quotas_class_mock.reset_mock() self.app.client_manager.auth_ref = mock.Mock() self.app.client_manager.auth_ref.service_catalog = mock.Mock() self.service_catalog_mock = \ self.app.client_manager.auth_ref.service_catalog self.service_catalog_mock.reset_mock() self.app.client_manager.auth_ref.project_id = identity_fakes.project_id class TestQuotaList(TestQuota): """Test cases for quota list command""" compute_column_header = ( 'Project ID', 'Cores', 'Fixed IPs', 'Injected Files', 'Injected File Content Bytes', 'Injected File Path Bytes', 'Instances', 'Key Pairs', 'Metadata Items', 'Ram', 'Server Groups', 'Server Group Members', ) network_column_header = ( 'Project ID', 'Floating IPs', 'Networks', 'Ports', 'RBAC Policies', 'Routers', 'Security Groups', 'Security Group Rules', 'Subnets', 'Subnet Pools' ) volume_column_header = ( 'Project ID', 'Backups', 'Backup Gigabytes', 'Gigabytes', 'Per Volume Gigabytes', 'Snapshots', 'Volumes', ) def setUp(self): super(TestQuotaList, self).setUp() # Work with multiple projects in this class self.projects_mock.get.side_effect = self.projects self.projects_mock.list.return_value = self.projects self.compute_quotas = [ compute_fakes.FakeQuota.create_one_comp_quota(), compute_fakes.FakeQuota.create_one_comp_quota(), ] self.compute_default_quotas = [ compute_fakes.FakeQuota.create_one_default_comp_quota(), compute_fakes.FakeQuota.create_one_default_comp_quota(), ] self.compute = self.app.client_manager.compute self.compute.quotas.defaults = mock.Mock( side_effect=self.compute_default_quotas, ) self.compute_reference_data = ( self.projects[0].id, self.compute_quotas[0].cores, self.compute_quotas[0].fixed_ips, self.compute_quotas[0].injected_files, self.compute_quotas[0].injected_file_content_bytes, self.compute_quotas[0].injected_file_path_bytes, self.compute_quotas[0].instances, self.compute_quotas[0].key_pairs, self.compute_quotas[0].metadata_items, self.compute_quotas[0].ram, self.compute_quotas[0].server_groups, self.compute_quotas[0].server_group_members, ) self.network_quotas = [ network_fakes.FakeQuota.create_one_net_quota(), network_fakes.FakeQuota.create_one_net_quota(), ] self.network_default_quotas = [ network_fakes.FakeQuota.create_one_default_net_quota(), network_fakes.FakeQuota.create_one_default_net_quota(), ] self.network = self.app.client_manager.network self.network.get_quota_default = mock.Mock( side_effect=self.network_default_quotas, ) self.network_reference_data = ( self.projects[0].id, self.network_quotas[0].floating_ips, self.network_quotas[0].networks, self.network_quotas[0].ports, self.network_quotas[0].rbac_policies, self.network_quotas[0].routers, self.network_quotas[0].security_groups, self.network_quotas[0].security_group_rules, self.network_quotas[0].subnets, self.network_quotas[0].subnet_pools, ) self.volume_quotas = [ volume_fakes.FakeQuota.create_one_vol_quota(), volume_fakes.FakeQuota.create_one_vol_quota(), ] self.volume_default_quotas = [ volume_fakes.FakeQuota.create_one_default_vol_quota(), volume_fakes.FakeQuota.create_one_default_vol_quota(), ] self.volume = self.app.client_manager.volume self.volume.quotas.defaults = mock.Mock( side_effect=self.volume_default_quotas, ) self.volume_reference_data = ( self.projects[0].id, self.volume_quotas[0].backups, self.volume_quotas[0].backup_gigabytes, self.volume_quotas[0].gigabytes, self.volume_quotas[0].per_volume_gigabytes, self.volume_quotas[0].snapshots, self.volume_quotas[0].volumes, ) self.cmd = quota.ListQuota(self.app, None) @staticmethod def _get_detailed_reference_data(quota): reference_data = [] for name, values in quota.to_dict().items(): if type(values) is dict: if 'used' in values: # For network quota it's "used" key instead of "in_use" in_use = values['used'] else: in_use = values['in_use'] resource_values = [ in_use, values['reserved'], values['limit']] reference_data.append(tuple([name] + resource_values)) return reference_data def test_quota_list_details_compute(self): detailed_quota = ( compute_fakes.FakeQuota.create_one_comp_detailed_quota()) detailed_column_header = ( 'Resource', 'In Use', 'Reserved', 'Limit', ) detailed_reference_data = ( self._get_detailed_reference_data(detailed_quota)) self.compute.quotas.get = mock.Mock(return_value=detailed_quota) arglist = [ '--detail', '--compute', ] verifylist = [ ('detail', True), ('compute', True), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) columns, data = self.cmd.take_action(parsed_args) ret_quotas = list(data) self.assertEqual(detailed_column_header, columns) self.assertEqual( sorted(detailed_reference_data), sorted(ret_quotas)) def test_quota_list_details_network(self): detailed_quota = ( network_fakes.FakeQuota.create_one_net_detailed_quota()) detailed_column_header = ( 'Resource', 'In Use', 'Reserved', 'Limit', ) detailed_reference_data = ( self._get_detailed_reference_data(detailed_quota)) self.network.get_quota = mock.Mock(return_value=detailed_quota) arglist = [ '--detail', '--network', ] verifylist = [ ('detail', True), ('network', True), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) columns, data = self.cmd.take_action(parsed_args) ret_quotas = list(data) self.assertEqual(detailed_column_header, columns) self.assertEqual( sorted(detailed_reference_data), sorted(ret_quotas)) def test_quota_list_compute(self): # Two projects with non-default quotas self.compute.quotas.get = mock.Mock( side_effect=self.compute_quotas, ) arglist = [ '--compute', ] verifylist = [ ('compute', True), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) columns, data = self.cmd.take_action(parsed_args) ret_quotas = list(data) self.assertEqual(self.compute_column_header, columns) self.assertEqual(self.compute_reference_data, ret_quotas[0]) self.assertEqual(2, len(ret_quotas)) def test_quota_list_compute_default(self): # One of the projects is at defaults self.compute.quotas.get = mock.Mock( side_effect=[ self.compute_quotas[0], compute_fakes.FakeQuota.create_one_default_comp_quota(), ], ) arglist = [ '--compute', ] verifylist = [ ('compute', True), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) columns, data = self.cmd.take_action(parsed_args) ret_quotas = list(data) self.assertEqual(self.compute_column_header, columns) self.assertEqual(self.compute_reference_data, ret_quotas[0]) self.assertEqual(1, len(ret_quotas)) def test_quota_list_compute_no_project_not_found(self): # Make one of the projects disappear self.compute.quotas.get = mock.Mock( side_effect=[ self.compute_quotas[0], exceptions.NotFound("NotFound"), ], ) arglist = [ '--compute', ] verifylist = [ ('compute', True), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) columns, data = self.cmd.take_action(parsed_args) ret_quotas = list(data) self.assertEqual(self.compute_column_header, columns) self.assertEqual(self.compute_reference_data, ret_quotas[0]) self.assertEqual(1, len(ret_quotas)) def test_quota_list_compute_no_project_4xx(self): # Make one of the projects disappear self.compute.quotas.get = mock.Mock( side_effect=[ self.compute_quotas[0], exceptions.BadRequest("Bad request"), ], ) arglist = [ '--compute', ] verifylist = [ ('compute', True), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) columns, data = self.cmd.take_action(parsed_args) ret_quotas = list(data) self.assertEqual(self.compute_column_header, columns) self.assertEqual(self.compute_reference_data, ret_quotas[0]) self.assertEqual(1, len(ret_quotas)) def test_quota_list_compute_no_project_5xx(self): # Make one of the projects disappear self.compute.quotas.get = mock.Mock( side_effect=[ self.compute_quotas[0], exceptions.HTTPNotImplemented("Not implemented??"), ], ) arglist = [ '--compute', ] verifylist = [ ('compute', True), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) self.assertRaises( exceptions.HTTPNotImplemented, self.cmd.take_action, parsed_args, ) def test_quota_list_network(self): # Two projects with non-default quotas self.network.get_quota = mock.Mock( side_effect=self.network_quotas, ) arglist = [ '--network', ] verifylist = [ ('network', True), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) columns, data = self.cmd.take_action(parsed_args) ret_quotas = list(data) self.assertEqual(self.network_column_header, columns) self.assertEqual(self.network_reference_data, ret_quotas[0]) self.assertEqual(2, len(ret_quotas)) def test_quota_list_network_default(self): # Two projects with non-default quotas self.network.get_quota = mock.Mock( side_effect=[ self.network_quotas[0], network_fakes.FakeQuota.create_one_default_net_quota(), ], ) arglist = [ '--network', ] verifylist = [ ('network', True), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) columns, data = self.cmd.take_action(parsed_args) ret_quotas = list(data) self.assertEqual(self.network_column_header, columns) self.assertEqual(self.network_reference_data, ret_quotas[0]) self.assertEqual(1, len(ret_quotas)) def test_quota_list_network_no_project(self): # Two projects with non-default quotas self.network.get_quota = mock.Mock( side_effect=[ self.network_quotas[0], exceptions.NotFound("NotFound"), ], ) arglist = [ '--network', ] verifylist = [ ('network', True), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) columns, data = self.cmd.take_action(parsed_args) ret_quotas = list(data) self.assertEqual(self.network_column_header, columns) self.assertEqual(self.network_reference_data, ret_quotas[0]) self.assertEqual(1, len(ret_quotas)) def test_quota_list_volume(self): # Two projects with non-default quotas self.volume.quotas.get = mock.Mock( side_effect=self.volume_quotas, ) arglist = [ '--volume', ] verifylist = [ ('volume', True), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) columns, data = self.cmd.take_action(parsed_args) ret_quotas = list(data) self.assertEqual(self.volume_column_header, columns) self.assertEqual(self.volume_reference_data, ret_quotas[0]) self.assertEqual(2, len(ret_quotas)) def test_quota_list_volume_default(self): # Two projects with non-default quotas self.volume.quotas.get = mock.Mock( side_effect=[ self.volume_quotas[0], volume_fakes.FakeQuota.create_one_default_vol_quota(), ], ) arglist = [ '--volume', ] verifylist = [ ('volume', True), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) columns, data = self.cmd.take_action(parsed_args) ret_quotas = list(data) self.assertEqual(self.volume_column_header, columns) self.assertEqual(self.volume_reference_data, ret_quotas[0]) self.assertEqual(1, len(ret_quotas)) def test_quota_list_volume_no_project(self): # Two projects with non-default quotas self.volume.quotas.get = mock.Mock( side_effect=[ self.volume_quotas[0], volume_fakes.FakeQuota.create_one_default_vol_quota(), ], ) arglist = [ '--volume', ] verifylist = [ ('volume', True), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) columns, data = self.cmd.take_action(parsed_args) ret_quotas = list(data) self.assertEqual(self.volume_column_header, columns) self.assertEqual(self.volume_reference_data, ret_quotas[0]) self.assertEqual(1, len(ret_quotas)) class TestQuotaSet(TestQuota): def setUp(self): super(TestQuotaSet, self).setUp() self.compute_quotas_mock.update.return_value = FakeQuotaResource( None, copy.deepcopy(compute_fakes.QUOTA), loaded=True, ) self.compute_quotas_class_mock.update.return_value = FakeQuotaResource( None, copy.deepcopy(compute_fakes.QUOTA), loaded=True, ) self.volume_quotas_mock.update.return_value = FakeQuotaResource( None, copy.deepcopy(compute_fakes.QUOTA), loaded=True, ) self.volume_quotas_class_mock.update.return_value = FakeQuotaResource( None, copy.deepcopy(compute_fakes.QUOTA), loaded=True, ) self.network_mock = self.app.client_manager.network self.network_mock.update_quota = mock.Mock() self.cmd = quota.SetQuota(self.app, None) def test_quota_set(self): arglist = [ '--floating-ips', str(compute_fakes.floating_ip_num), '--fixed-ips', str(compute_fakes.fix_ip_num), '--injected-files', str(compute_fakes.injected_file_num), '--injected-file-size', str(compute_fakes.injected_file_size_num), '--injected-path-size', str(compute_fakes.injected_path_size_num), '--key-pairs', str(compute_fakes.key_pair_num), '--cores', str(compute_fakes.core_num), '--ram', str(compute_fakes.ram_num), '--instances', str(compute_fakes.instance_num), '--properties', str(compute_fakes.property_num), '--secgroup-rules', str(compute_fakes.secgroup_rule_num), '--secgroups', str(compute_fakes.secgroup_num), '--server-groups', str(compute_fakes.servgroup_num), '--server-group-members', str(compute_fakes.servgroup_members_num), self.projects[0].name, ] verifylist = [ ('floating_ips', compute_fakes.floating_ip_num), ('fixed_ips', compute_fakes.fix_ip_num), ('injected_files', compute_fakes.injected_file_num), ('injected_file_content_bytes', compute_fakes.injected_file_size_num), ('injected_file_path_bytes', compute_fakes.injected_path_size_num), ('key_pairs', compute_fakes.key_pair_num), ('cores', compute_fakes.core_num), ('ram', compute_fakes.ram_num), ('instances', compute_fakes.instance_num), ('metadata_items', compute_fakes.property_num), ('security_group_rules', compute_fakes.secgroup_rule_num), ('security_groups', compute_fakes.secgroup_num), ('server_groups', compute_fakes.servgroup_num), ('server_group_members', compute_fakes.servgroup_members_num), ('project', self.projects[0].name), ] self.app.client_manager.network_endpoint_enabled = False parsed_args = self.check_parser(self.cmd, arglist, verifylist) result = self.cmd.take_action(parsed_args) kwargs = { 'floating_ips': compute_fakes.floating_ip_num, 'fixed_ips': compute_fakes.fix_ip_num, 'injected_files': compute_fakes.injected_file_num, 'injected_file_content_bytes': compute_fakes.injected_file_size_num, 'injected_file_path_bytes': compute_fakes.injected_path_size_num, 'key_pairs': compute_fakes.key_pair_num, 'cores': compute_fakes.core_num, 'ram': compute_fakes.ram_num, 'instances': compute_fakes.instance_num, 'metadata_items': compute_fakes.property_num, 'security_group_rules': compute_fakes.secgroup_rule_num, 'security_groups': compute_fakes.secgroup_num, 'server_groups': compute_fakes.servgroup_num, 'server_group_members': compute_fakes.servgroup_members_num, } self.compute_quotas_mock.update.assert_called_once_with( self.projects[0].id, **kwargs ) self.assertIsNone(result) def test_quota_set_volume(self): arglist = [ '--gigabytes', str(volume_fakes.QUOTA['gigabytes']), '--snapshots', str(volume_fakes.QUOTA['snapshots']), '--volumes', str(volume_fakes.QUOTA['volumes']), '--backups', str(volume_fakes.QUOTA['backups']), '--backup-gigabytes', str(volume_fakes.QUOTA['backup_gigabytes']), '--per-volume-gigabytes', str(volume_fakes.QUOTA['per_volume_gigabytes']), self.projects[0].name, ] verifylist = [ ('gigabytes', volume_fakes.QUOTA['gigabytes']), ('snapshots', volume_fakes.QUOTA['snapshots']), ('volumes', volume_fakes.QUOTA['volumes']), ('backups', volume_fakes.QUOTA['backups']), ('backup_gigabytes', volume_fakes.QUOTA['backup_gigabytes']), ('per_volume_gigabytes', volume_fakes.QUOTA['per_volume_gigabytes']), ('project', self.projects[0].name), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) result = self.cmd.take_action(parsed_args) kwargs = { 'gigabytes': volume_fakes.QUOTA['gigabytes'], 'snapshots': volume_fakes.QUOTA['snapshots'], 'volumes': volume_fakes.QUOTA['volumes'], 'backups': volume_fakes.QUOTA['backups'], 'backup_gigabytes': volume_fakes.QUOTA['backup_gigabytes'], 'per_volume_gigabytes': volume_fakes.QUOTA['per_volume_gigabytes'] } self.volume_quotas_mock.update.assert_called_once_with( self.projects[0].id, **kwargs ) self.assertIsNone(result) def test_quota_set_volume_with_volume_type(self): arglist = [ '--gigabytes', str(volume_fakes.QUOTA['gigabytes']), '--snapshots', str(volume_fakes.QUOTA['snapshots']), '--volumes', str(volume_fakes.QUOTA['volumes']), '--backups', str(volume_fakes.QUOTA['backups']), '--backup-gigabytes', str(volume_fakes.QUOTA['backup_gigabytes']), '--per-volume-gigabytes', str(volume_fakes.QUOTA['per_volume_gigabytes']), '--volume-type', 'volume_type_backend', self.projects[0].name, ] verifylist = [ ('gigabytes', volume_fakes.QUOTA['gigabytes']), ('snapshots', volume_fakes.QUOTA['snapshots']), ('volumes', volume_fakes.QUOTA['volumes']), ('backups', volume_fakes.QUOTA['backups']), ('backup_gigabytes', volume_fakes.QUOTA['backup_gigabytes']), ('per_volume_gigabytes', volume_fakes.QUOTA['per_volume_gigabytes']), ('volume_type', 'volume_type_backend'), ('project', self.projects[0].name), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) result = self.cmd.take_action(parsed_args) kwargs = { 'gigabytes_volume_type_backend': volume_fakes.QUOTA['gigabytes'], 'snapshots_volume_type_backend': volume_fakes.QUOTA['snapshots'], 'volumes_volume_type_backend': volume_fakes.QUOTA['volumes'], 'backups': volume_fakes.QUOTA['backups'], 'backup_gigabytes': volume_fakes.QUOTA['backup_gigabytes'], 'per_volume_gigabytes': volume_fakes.QUOTA['per_volume_gigabytes'] } self.volume_quotas_mock.update.assert_called_once_with( self.projects[0].id, **kwargs ) self.assertIsNone(result) def test_quota_set_network(self): arglist = [ '--subnets', str(network_fakes.QUOTA['subnet']), '--networks', str(network_fakes.QUOTA['network']), '--floating-ips', str(network_fakes.QUOTA['floatingip']), '--subnetpools', str(network_fakes.QUOTA['subnetpool']), '--secgroup-rules', str(network_fakes.QUOTA['security_group_rule']), '--secgroups', str(network_fakes.QUOTA['security_group']), '--routers', str(network_fakes.QUOTA['router']), '--rbac-policies', str(network_fakes.QUOTA['rbac_policy']), '--ports', str(network_fakes.QUOTA['port']), self.projects[0].name, ] verifylist = [ ('subnet', network_fakes.QUOTA['subnet']), ('network', network_fakes.QUOTA['network']), ('floatingip', network_fakes.QUOTA['floatingip']), ('subnetpool', network_fakes.QUOTA['subnetpool']), ('security_group_rule', network_fakes.QUOTA['security_group_rule']), ('security_group', network_fakes.QUOTA['security_group']), ('router', network_fakes.QUOTA['router']), ('rbac_policy', network_fakes.QUOTA['rbac_policy']), ('port', network_fakes.QUOTA['port']), ('project', self.projects[0].name), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) result = self.cmd.take_action(parsed_args) kwargs = { 'subnet': network_fakes.QUOTA['subnet'], 'network': network_fakes.QUOTA['network'], 'floatingip': network_fakes.QUOTA['floatingip'], 'subnetpool': network_fakes.QUOTA['subnetpool'], 'security_group_rule': network_fakes.QUOTA['security_group_rule'], 'security_group': network_fakes.QUOTA['security_group'], 'router': network_fakes.QUOTA['router'], 'rbac_policy': network_fakes.QUOTA['rbac_policy'], 'port': network_fakes.QUOTA['port'], } self.network_mock.update_quota.assert_called_once_with( self.projects[0].id, **kwargs ) self.assertIsNone(result) def test_quota_set_with_class(self): arglist = [ '--injected-files', str(compute_fakes.injected_file_num), '--injected-file-size', str(compute_fakes.injected_file_size_num), '--injected-path-size', str(compute_fakes.injected_path_size_num), '--key-pairs', str(compute_fakes.key_pair_num), '--cores', str(compute_fakes.core_num), '--ram', str(compute_fakes.ram_num), '--instances', str(compute_fakes.instance_num), '--properties', str(compute_fakes.property_num), '--server-groups', str(compute_fakes.servgroup_num), '--server-group-members', str(compute_fakes.servgroup_members_num), '--gigabytes', str(compute_fakes.floating_ip_num), '--snapshots', str(compute_fakes.fix_ip_num), '--volumes', str(volume_fakes.QUOTA['volumes']), '--network', str(network_fakes.QUOTA['network']), '--class', self.projects[0].name, ] verifylist = [ ('injected_files', compute_fakes.injected_file_num), ('injected_file_content_bytes', compute_fakes.injected_file_size_num), ('injected_file_path_bytes', compute_fakes.injected_path_size_num), ('key_pairs', compute_fakes.key_pair_num), ('cores', compute_fakes.core_num), ('ram', compute_fakes.ram_num), ('instances', compute_fakes.instance_num), ('metadata_items', compute_fakes.property_num), ('server_groups', compute_fakes.servgroup_num), ('server_group_members', compute_fakes.servgroup_members_num), ('gigabytes', compute_fakes.floating_ip_num), ('snapshots', compute_fakes.fix_ip_num), ('volumes', volume_fakes.QUOTA['volumes']), ('network', network_fakes.QUOTA['network']), ('quota_class', True), ('project', self.projects[0].name), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) result = self.cmd.take_action(parsed_args) kwargs_compute = { 'injected_files': compute_fakes.injected_file_num, 'injected_file_content_bytes': compute_fakes.injected_file_size_num, 'injected_file_path_bytes': compute_fakes.injected_path_size_num, 'key_pairs': compute_fakes.key_pair_num, 'cores': compute_fakes.core_num, 'ram': compute_fakes.ram_num, 'instances': compute_fakes.instance_num, 'metadata_items': compute_fakes.property_num, 'server_groups': compute_fakes.servgroup_num, 'server_group_members': compute_fakes.servgroup_members_num, } kwargs_volume = { 'gigabytes': compute_fakes.floating_ip_num, 'snapshots': compute_fakes.fix_ip_num, 'volumes': volume_fakes.QUOTA['volumes'], } self.compute_quotas_class_mock.update.assert_called_with( self.projects[0].name, **kwargs_compute ) self.volume_quotas_class_mock.update.assert_called_with( self.projects[0].name, **kwargs_volume ) self.assertNotCalled(self.network_mock.update_quota) self.assertIsNone(result) class TestQuotaShow(TestQuota): def setUp(self): super(TestQuotaShow, self).setUp() self.compute_quota = compute_fakes.FakeQuota.create_one_comp_quota() self.compute_quotas_mock.get.return_value = self.compute_quota self.compute_default_quota = \ compute_fakes.FakeQuota.create_one_default_comp_quota() self.compute_quotas_mock.defaults.return_value = \ self.compute_default_quota self.compute_quotas_class_mock.get.return_value = FakeQuotaResource( None, copy.deepcopy(compute_fakes.QUOTA), loaded=True, ) self.volume_quota = volume_fakes.FakeQuota.create_one_vol_quota() self.volume_quotas_mock.get.return_value = self.volume_quota self.volume_default_quota = \ volume_fakes.FakeQuota.create_one_default_vol_quota() self.volume_quotas_mock.defaults.return_value = \ self.volume_default_quota self.volume_quotas_class_mock.get.return_value = FakeQuotaResource( None, copy.deepcopy(volume_fakes.QUOTA), loaded=True, ) fake_network_endpoint = fakes.FakeResource( None, copy.deepcopy(identity_fakes.ENDPOINT), loaded=True, ) self.service_catalog_mock.get_endpoints.return_value = { 'network': fake_network_endpoint } self.app.client_manager.network = network_fakes.FakeNetworkV2Client( endpoint=fakes.AUTH_URL, token=fakes.AUTH_TOKEN, ) self.network = self.app.client_manager.network self.network.get_quota = mock.Mock( return_value=network_fakes.QUOTA, ) self.network.get_quota_default = mock.Mock( return_value=network_fakes.QUOTA, ) self.cmd = quota.ShowQuota(self.app, None) def test_quota_show(self): arglist = [ self.projects[0].name, ] verifylist = [ ('project', self.projects[0].name), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) self.cmd.take_action(parsed_args) self.compute_quotas_mock.get.assert_called_once_with( self.projects[0].id, detail=False ) self.volume_quotas_mock.get.assert_called_once_with( self.projects[0].id, ) self.network.get_quota.assert_called_once_with( self.projects[0].id, details=False ) self.assertNotCalled(self.network.get_quota_default) def test_quota_show_with_default(self): arglist = [ '--default', self.projects[0].name, ] verifylist = [ ('default', True), ('project', self.projects[0].name), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) self.cmd.take_action(parsed_args) self.compute_quotas_mock.defaults.assert_called_once_with( self.projects[0].id, ) self.volume_quotas_mock.defaults.assert_called_once_with( self.projects[0].id, ) self.network.get_quota_default.assert_called_once_with( self.projects[0].id, ) self.assertNotCalled(self.network.get_quota) def test_quota_show_with_class(self): arglist = [ '--class', self.projects[0].name, ] verifylist = [ ('quota_class', True), ('project', self.projects[0].name), ] parsed_args = self.check_parser(self.cmd, arglist, verifylist) self.cmd.take_action(parsed_args) self.compute_quotas_class_mock.get.assert_called_once_with( self.projects[0].name, ) self.volume_quotas_class_mock.get.assert_called_once_with( self.projects[0].name, ) self.assertNotCalled(self.network.get_quota) self.assertNotCalled(self.network.get_quota_default) def test_quota_show_no_project(self): parsed_args = self.check_parser(self.cmd, [], []) self.cmd.take_action(parsed_args) self.compute_quotas_mock.get.assert_called_once_with( identity_fakes.project_id, detail=False ) self.volume_quotas_mock.get.assert_called_once_with( identity_fakes.project_id, ) self.network.get_quota.assert_called_once_with( identity_fakes.project_id, details=False ) self.assertNotCalled(self.network.get_quota_default)

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1

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1

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null

0

4

464bf9c2bd90d28c4a59f439cb93b4cbbca0ea68

93

py

Python

situs/jualtiket/apps.py

torikwer/django-penj-tiket

846ef20d74700f798922f2364df7736b5e41bb82

[ "MIT" ]

null

situs/jualtiket/apps.py

torikwer/django-penj-tiket

846ef20d74700f798922f2364df7736b5e41bb82

[ "MIT" ]

null

situs/jualtiket/apps.py

torikwer/django-penj-tiket

846ef20d74700f798922f2364df7736b5e41bb82

[ "MIT" ]

null

from django.apps import AppConfig class JualtiketConfig(AppConfig): name = 'jualtiket'

15.5

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null

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null

0

1

0

1

0

4

46597193ce6ad827ece1d139f1b90548a7405219

200

py

Python

bookmarks/common/utils.py

mp5maker/django

a2d38e2e9973e755afce1bd0ccb17e58f3db7e33

[ "MIT" ]

null

bookmarks/common/utils.py

mp5maker/django

a2d38e2e9973e755afce1bd0ccb17e58f3db7e33

[ "MIT" ]

13

2020-02-12T00:14:20.000Z

2022-02-10T08:46:42.000Z

bookmarks/common/utils.py

mp5maker/django

a2d38e2e9973e755afce1bd0ccb17e58f3db7e33

[ "MIT" ]

null

from django.conf import settings import redis def redis_cache(): return redis.StrictRedis( host=settings.REDIS_HOST, port=settings.REDIS_PORT, db=settings.REDIS_DB )

18.181818

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0.685

25

200

5.32

0.52

0.293233

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0.24

200

10

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20

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0.125

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null

1

0

null

0

1

0

1

0

4

46686e05640bc79046c5454375212624714448e4

125

bzl

Python

test/implementation_deps/aspect.bzl

Vertexwahn/depend_on_what_you_use

480732677a74fb7033848004d4d5015af0ad36c5

[ "MIT" ]

8

2022-03-08T06:27:38.000Z

2022-03-20T21:21:43.000Z

test/implementation_deps/aspect.bzl

Vertexwahn/depend_on_what_you_use

480732677a74fb7033848004d4d5015af0ad36c5

[ "MIT" ]

11

2022-03-17T18:53:02.000Z

2022-03-28T21:15:02.000Z

test/implementation_deps/aspect.bzl

Vertexwahn/depend_on_what_you_use

480732677a74fb7033848004d4d5015af0ad36c5

[ "MIT" ]

1

2022-03-08T06:27:43.000Z

load("//:defs.bzl", "dwyu_aspect_factory") implementation_deps_aspect = dwyu_aspect_factory(use_implementation_deps = True)

31.25

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125

5.875

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125

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0

1

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null

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4

46758b805ec12e12c3e6e78a3d6027161ecc2756

199

py

Python

pixplot/__init__.py

invisiblearchitects/pix-plot

a3364810adf6a5c9cbd35bb35baca23707e61c70

[ "MIT" ]

405

2017-12-22T16:34:26.000Z

2022-03-17T08:02:52.000Z

pixplot/__init__.py

invisiblearchitects/pix-plot

a3364810adf6a5c9cbd35bb35baca23707e61c70

[ "MIT" ]

125

2017-12-13T20:10:51.000Z

2022-03-22T20:53:59.000Z

pixplot/__init__.py

invisiblearchitects/pix-plot

a3364810adf6a5c9cbd35bb35baca23707e61c70

[ "MIT" ]

120

2017-12-19T18:18:31.000Z

2022-03-29T20:42:51.000Z

from __future__ import absolute_import from pixplot.pixplot import process_images, parse # specify version number import pkg_resources __version__ = pkg_resources.get_distribution('pixplot').version

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null

0

1

0

null

0

1

0

1

0

4

4696983ee9d02319104bc75a60f9280643b60f20

359

py

Python

admin.py

SyntaxBlitz/bridie

e363bbf55038874f89fdea7f44b8ff790460ed85

[ "MIT" ]

null

admin.py

SyntaxBlitz/bridie

e363bbf55038874f89fdea7f44b8ff790460ed85

[ "MIT" ]

null

admin.py

SyntaxBlitz/bridie

e363bbf55038874f89fdea7f44b8ff790460ed85

[ "MIT" ]

null

from django.contrib import admin from mysite.bridie.models import User, Post, Comment # Register your models here. class UserAdmin(admin.ModelAdmin): pass class PostAdmin(admin.ModelAdmin): pass class CommentAdmin(admin.ModelAdmin): pass admin.site.register(User, UserAdmin) admin.site.register(Post, PostAdmin) admin.site.register(Comment, CommentAdmin)

25.642857

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359

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359

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true

0.272727

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0

null

0

1

0

null

0

1

0

4

469cf7055b3a2338d20b98e05b0bd3e9028c393b

1,246

py

Python

processing/dbconnfactory.py

paganellif/sctm-project-paganelli-2021

810d9a82c653db8ec9db117c57f35b64cc14aaaf

[ "MIT" ]

null

processing/dbconnfactory.py

paganellif/sctm-project-paganelli-2021

810d9a82c653db8ec9db117c57f35b64cc14aaaf

[ "MIT" ]

null

processing/dbconnfactory.py

paganellif/sctm-project-paganelli-2021

810d9a82c653db8ec9db117c57f35b64cc14aaaf

[ "MIT" ]

null

from processing.dbconnectorimpl import * class DBConnAbstractFactory(ABC): @abstractmethod def create_manager_db_connector(self) -> DBManagerConnector: """ :return: """ pass @abstractmethod def create_trigger_db_connector(self) -> DBTriggerConnector: """ :return: """ pass @abstractmethod def create_statistics_db_connector(self) -> DBStatisticsConnector: """ :return: """ pass @abstractmethod def create_front_end_db_connector(self) -> DBFrontEndConnector: """ :return: """ pass class DBConnFactory(DBConnAbstractFactory): def create_manager_db_connector(self) -> DBManagerConnector: return DBManagerConnectorImpl(cfg.database["dbmanager_url"]) def create_trigger_db_connector(self) -> DBTriggerConnector: return DBTriggerConnectorImpl(cfg.database["trigger_url"]) def create_statistics_db_connector(self) -> DBStatisticsConnector: return DBStatisticsConnectorImpl(cfg.database["statistics_url"]) def create_front_end_db_connector(self) -> DBFrontEndConnector: return DBFrontEndConnectorImpl(cfg.database["frontend_url"])

24.431373

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null

0

null

0

1

0

1

0

1

0

4

46a6dc0ba69e186f68a42a6a2049d2dc327b2695

163

py

Python

djangoProject/myapp/forms.py

logikonabstractions/django_tplt_dockerized

8f35d78f3c5bff0af2d9b8c3bfaba7dc60413cd3

[ "MIT" ]

null

djangoProject/myapp/forms.py

logikonabstractions/django_tplt_dockerized

8f35d78f3c5bff0af2d9b8c3bfaba7dc60413cd3

[ "MIT" ]

null

djangoProject/myapp/forms.py

logikonabstractions/django_tplt_dockerized

8f35d78f3c5bff0af2d9b8c3bfaba7dc60413cd3

[ "MIT" ]

null

from django import forms from .models import ImageModel class UploadForm(forms.ModelForm): class Meta: model = ImageModel fields = ('file',)

18.111111

34

0.674847

18

163

6.111111

0.722222

0

0.245399

163

8

35

20.375

0.894309

0

0.024691

0

1

0

false

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

d3bb1be867a978d871e1dc24d49e8afeb4de7708

599

py

Python

src/secWrap.py

fausecteam/faustctf-2017-tempsense

52ccf4654a8a430c976ded0ba9149b234e8f420a

[ "ISC" ]

null

src/secWrap.py

fausecteam/faustctf-2017-tempsense

52ccf4654a8a430c976ded0ba9149b234e8f420a

[ "ISC" ]

null

src/secWrap.py

fausecteam/faustctf-2017-tempsense

52ccf4654a8a430c976ded0ba9149b234e8f420a

[ "ISC" ]

1

2018-09-23T19:15:25.000Z

from subprocess import check_output ENCODING = 'utf-8' def generate_key_pair(): output = check_output(['./secure', '-g']).decode(ENCODING) public_key = output.split('-----END PUBLIC KEY-----')[0] + '-----END PUBLIC KEY-----' private_key = output.split('-----END PUBLIC KEY-----')[1].lstrip('\n') return private_key, public_key def encrypt(key, file): return check_output(['./secure -k "{}" -e "{}"'.format(key, file)], shell=True).decode(ENCODING) def decrypt(key, file): return check_output(['./secure -k "{}" -d "{}"'.format(key, file)], shell=True).decode(ENCODING)

33.277778

100

0.627713

79

599

4.632911

0.417722

0.122951

0.139344

0.092896

0.508197

0.36612

0

0.005803

0.136895

599

17

101

35.235294

0.702128

0

1

0

0.228715

0

1

0.272727

false

0

0.090909

0.181818

0.636364

0

null

0

1

0

null

0

1

0

1

0

4

d3ceecdba4e43dcf6b4429f7ae41b1e50e3813c2

79

py

Python

custom_errors.py

LincT/PythonExamples

a0b61e8c60cd0754f2406b6b72fcd562667c9bb0

[ "MIT" ]

null

custom_errors.py

LincT/PythonExamples

a0b61e8c60cd0754f2406b6b72fcd562667c9bb0

[ "MIT" ]

null

custom_errors.py

LincT/PythonExamples

a0b61e8c60cd0754f2406b6b72fcd562667c9bb0

[ "MIT" ]

null

class NameTooShortError(ValueError): pass raise NameTooShortError("foo")

13.166667

36

0.772152

7

79

8.714286

0.857143

0

0.139241

79

5

37

15.8

0.897059

0

0.037975

0

1

0

true

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

4

d3d3b2d097890f412754763758219e5ccb3d29f8

93

py

Python

python/491.increasing-subsequences.py

stavanmehta/leetcode

1224e43ce29430c840e65daae3b343182e24709c

[ "Apache-2.0" ]

null

python/491.increasing-subsequences.py

stavanmehta/leetcode

1224e43ce29430c840e65daae3b343182e24709c

[ "Apache-2.0" ]

null

python/491.increasing-subsequences.py

stavanmehta/leetcode

1224e43ce29430c840e65daae3b343182e24709c

[ "Apache-2.0" ]

null

class Solution: def findSubsequences(self, nums: List[int]) -> List[List[int]]:

23.25

67

0.623656

11

93

5.272727

0.727273

0.241379

0

0.225806

93

3

68

31

0.805556

0

null

0

null

0

1

0

null

1

0

1

0

null

0

1

0

4

3101b3084e66d4c8bf1b6330b295cf7b01c898db

19

py

Python

src/kalam/parsers/base.py

AnkCorp/kalam

6ba5b9dfcd20a8e57eaa1942f3d2650f3579dc0c

[ "MIT" ]

null

src/kalam/parsers/base.py

AnkCorp/kalam

6ba5b9dfcd20a8e57eaa1942f3d2650f3579dc0c

[ "MIT" ]

null

src/kalam/parsers/base.py

AnkCorp/kalam

6ba5b9dfcd20a8e57eaa1942f3d2650f3579dc0c

[ "MIT" ]

null

"""Base parser."""

9.5

18

0.526316

2

19

5

1

0

0.105263

19

1

19

0.588235

0.631579

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

3132f82fd8df9657acd829150df2d60b246de33a

228

py

Python

sorting/insertionSort.py

saketvikram/algorithms-ds-in-python

8b100182df8fcc4350b2458f2148481c7e0fb043

[ "MIT" ]

null

sorting/insertionSort.py

saketvikram/algorithms-ds-in-python

8b100182df8fcc4350b2458f2148481c7e0fb043

[ "MIT" ]

null

sorting/insertionSort.py

saketvikram/algorithms-ds-in-python

8b100182df8fcc4350b2458f2148481c7e0fb043

[ "MIT" ]

null

def insertionSort(array): for i in range(1, len(array)): j = i while j > 0 and array[j] < array[ j - 1]: swap(j, j - 1, array) j -= 1 return array def swap(i, j, array): array[i], array[j] = array[j], array[i]

22.8

43

0.565789

43

228

3

0.348837

0.27907

0.255814

0.186047

0

0.029412

0.254386

228

10

44

22.8

0.729412

0

null

0

null

0

null

1

0

null

0

1

0

4

31865532c16a9dde112b48976332e0db2af46371

402

py

Python

robot_stub/Bot.py

jernaumorat/IntelligentPantry

33d1ee867a5b6e0169fb44918069fbec5bfde259

[ "MIT" ]

null

robot_stub/Bot.py

jernaumorat/IntelligentPantry

33d1ee867a5b6e0169fb44918069fbec5bfde259

[ "MIT" ]

null

robot_stub/Bot.py

jernaumorat/IntelligentPantry

33d1ee867a5b6e0169fb44918069fbec5bfde259

[ "MIT" ]

1

2021-11-11T09:25:34.000Z

from abc import ABC, abstractmethod class Bot(ABC): @abstractmethod def moveTo(self , x , y): pass # get robot camera image of pantry @abstractmethod def getImage(self): pass # scan pantry @abstractmethod def scan(self): pass # system state scan /idle date and time @abstractmethod def updateStatus(self): pass

19.142857

43

0.597015

45

402

5.333333

0.6

0.283333

0.191667

0

0.338308

402

21

44

19.142857

0.902256

0.20398

0

0.571429

0

1

0.285714

false

0.285714

0.071429

0

0.428571

0

null

1

0

null

0

1

0

1

0

4

318f0188b22d3b4873dbabd32ffd6b1a50e8460e

88

py

Python

blog/admin.py

KaptanSingh2020/pyblog

5b0af8dce4b1c324f0384f27f7331c156e9ad51e

[ "MIT" ]

1

2016-04-04T11:49:26.000Z

blog/admin.py

KaptanSingh2020/pyblog

5b0af8dce4b1c324f0384f27f7331c156e9ad51e

[ "MIT" ]

null

blog/admin.py

KaptanSingh2020/pyblog

5b0af8dce4b1c324f0384f27f7331c156e9ad51e

[ "MIT" ]

3

2021-08-10T19:00:18.000Z

2021-08-11T00:53:09.000Z

from django.contrib import admin from blog.models import Post admin.site.register(Post)

22

32

0.829545

14

88

5.214286

0.714286

0

0.102273

88

4

33

22

0.924051

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

31a8a69f73306fdf3fb0a3453760dcdb363b3a65

1,941

py

Python

application/controller.py

THTatsuishi/finite-group-analyzer

fc8d4174849196ae81a3063eb67623857df01f58

[ "MIT" ]

2

2021-01-28T04:46:11.000Z

2021-09-18T19:35:18.000Z

application/controller.py

THTatsuishi/finite-group-analyzer

fc8d4174849196ae81a3063eb67623857df01f58

[ "MIT" ]

1

2021-02-13T13:06:45.000Z

2021-02-13T14:12:04.000Z

application/controller.py

THTatsuishi/finite-group-analyzer

fc8d4174849196ae81a3063eb67623857df01f58

[ "MIT" ]

null

""" アプリ制御用のモジュール。 """ from abc import ABCMeta from abc import abstractmethod class Controller(metaclass = ABCMeta): """ コントローラー。画面部分や計算部分をつなぐための抽象クラス。 """ @abstractmethod def message(self, text: str): """ メッセージを表示。 Parameters ---------- text : str DESCRIPTION. Returns ------- None. """ pass @abstractmethod def calc_start(self, text: str): """ 計算の開始を把握するためのメソッド。 Parameters ---------- text : str 計算開始を表す文章。 Returns ------- None. """ pass @abstractmethod def calc_progress(self, text: str): """ 主に時間のかかる計算の進捗を把握するためのメソッド。 Parameters ---------- text : str 計算の進捗を表す文章。 Returns ------- None. """ pass @abstractmethod def calc_end(self, text: str): """ 計算の終了を把握するためのメソッド。 Parameters ---------- text : str 計算終了を表す文章。 Returns ------- None. """ pass class NullController(Controller): """ コントローラーを指定しない場合に用いるダミーのコントローラー。何の機能も持たない。 """ def calc_start(self, text: str): pass def calc_progress(self, text: str): pass def calc_end(self, text: str): pass class ConsoleController(Controller): """ コンソール出力のみを扱うコントローラー。 """ def message(self, text: str): print(text) def calc_start(self, text: str): print(text) def calc_progress(self, text: str): print("\r"+text,end ="") def calc_end(self, text: str): print("\n"+text) class APPController(Controller): """ アプリケーションを制御するためのコントローラー。 """ def calc_progress(self, text: str): print(text)

16.310924

39

0.478104

150

1,941

6.12

0.28

0.122004

0.143791

0.087146

0.441176

0.40305

0.118736

0

0.396188

1,941

118

40

16.449153

0.783276

0.257599

0

0.764706

0

0.00391

0

1

0.352941

false

0.205882

0.058824

0

0.529412

0.147059

0

null

0

1

0

null

0

1

0

1

0

1

0

4

31ae318ab673e4a6f8c6ada9eed9e00dc2f89382

107

py

Python

__init__.py

arjun-namdeo/logIO

3bb06c0d7d0a45486bc2c82900fb116d8d75fb4c

[ "MIT" ]

null

__init__.py

arjun-namdeo/logIO

3bb06c0d7d0a45486bc2c82900fb116d8d75fb4c

[ "MIT" ]

null

__init__.py

arjun-namdeo/logIO

3bb06c0d7d0a45486bc2c82900fb116d8d75fb4c

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """ Custom Logging IO """ from logIO.setupLogging import *

11.888889

32

0.626168

14

107

4.785714

1

0

0.011236

0.168224

107

8

33

13.375

0.741573

0.560748

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

31cf7aca33008871bbf01f7814a2cf99f7be749f

214

py

Python

simple_discrete_game/simple_discrete_game/__init__.py

sen-pai/pygame2gym

1c8bc1422c1f3fb80054e77c03362e7eca2ef461

[ "MIT" ]

1

2020-11-04T18:02:13.000Z

simple_discrete_game/simple_discrete_game/__init__.py

sen-pai/pygame2gym

1c8bc1422c1f3fb80054e77c03362e7eca2ef461

[ "MIT" ]

null

simple_discrete_game/simple_discrete_game/__init__.py

sen-pai/pygame2gym

1c8bc1422c1f3fb80054e77c03362e7eca2ef461

[ "MIT" ]

null

from gym.envs.registration import register register(id="GoalGrid-v0", entry_point="simple_discrete_game.envs:GoalGridEnv") # register(id="BubbleShooter-v0", entry_point="gym_bubbleshooter.envs:BubbleShooterEnv")

35.666667

88

0.82243

27

214

6.333333

0.62963

0.116959

0.140351

0

0.009852

0.051402

214

5

89

42.8

0.832512

0.401869

0

0.380952

0.293651

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

31e4c30873b6505cec7ea8b9facb2088275994cd

252

py

Python

app/forms.py

natcowan/pairify

3855f1c91aee19b294faed4fe3f479804dda3067

[ "MIT" ]

null

app/forms.py

natcowan/pairify

3855f1c91aee19b294faed4fe3f479804dda3067

[ "MIT" ]

null

app/forms.py

natcowan/pairify

3855f1c91aee19b294faed4fe3f479804dda3067

[ "MIT" ]

null

from flask_wtf import FlaskForm from wtforms.fields import SelectMultipleField from wtforms.validators import DataRequired class SelectForm(FlaskForm): response = SelectMultipleField('Response', choices = [], \ validators=[DataRequired()])

36

59

0.781746

24

252

8.166667

0.583333

0.112245

0

0.134921

252

7

60

36

0.899083

0

0.031621

0

1

0

false

0

0.5

0

0.833333

0

1

0

null

0

1

0

null

0

1

0

1

0

4

31e586fb2e21d9cdce2086bbfab4a044567e07a4

248

py

Python

source/controllers/base_controller.py

iYasha/pyfinancebot

4357131fdc414dc5682d5e1761d7483603dce4a6

[ "MIT" ]

null

source/controllers/base_controller.py

iYasha/pyfinancebot

4357131fdc414dc5682d5e1761d7483603dce4a6

[ "MIT" ]

null

source/controllers/base_controller.py

iYasha/pyfinancebot

4357131fdc414dc5682d5e1761d7483603dce4a6

[ "MIT" ]

null

from abc import ABC, abstractmethod from telebot.types import InlineKeyboardButton class BaseController(ABC): @abstractmethod def callback_name(self) -> str: pass def get_menu_btn(self) -> InlineKeyboardButton: pass

19.076923

51

0.717742

27

248

6.481481

0.666667

0.194286

0

0.217742

248

12

52

20.666667

0.902062

0

0.25

0

1

0.25

false

0.25

0

0.625

0

1

0

null

0

null

0

1

0

1

0

1

0

4

9eddcee957d466ae169093d7c7a3108ed327c8c2

449

py

Python

kadot/utils.py

the-new-sky/Kadot

00fab7dae4cf3945d1f2000a8a39ad1ef6a641b1

[ "MIT" ]

131

2017-02-05T10:19:45.000Z

2022-03-04T07:19:15.000Z

kadot/utils.py

the-new-sky/Kadot

00fab7dae4cf3945d1f2000a8a39ad1ef6a641b1

[ "MIT" ]

4

2017-02-25T07:50:28.000Z

2017-10-15T15:20:52.000Z

kadot/utils.py

the-new-sky/Kadot

00fab7dae4cf3945d1f2000a8a39ad1ef6a641b1

[ "MIT" ]

11

2017-02-24T19:12:55.000Z

2020-06-02T04:11:43.000Z

import pickle def unique_words(words): # TODO: add list of list/ list of Tokens objects gestion return sorted(set(words)) class SavedObject(object): """ A class that can be saved in a file. """ def save(self, filename): with open(filename, 'wb') as save_file: pickle.dump(self, save_file) def load_object(filename): with open(filename, 'rb') as save_file: return pickle.load(save_file)

20.409091

60

0.648107

64

449

4.453125

0.546875

0.112281

0.168421

0

0.249443

449

21

61

21.380952

0.845697

0.2049

0

0.01173

0

0.047619

0

1

0.3

false

0

0.1

0.7

0

null

0

1

0

null

0

1

0

1

0

1

0

4

9eec2a4a6e8988452089c96d9fb1558f2b74fc65

109

py

Python

JapanToBook/write_box/settings.py

michael-act/JapanToBook

497cfb6c3148b560cdcaf6cce1a47c41c551defc

[ "MIT" ]

4

2020-09-30T14:55:12.000Z

2020-11-16T13:42:19.000Z

JapanToBook/write_box/settings.py

michael-act/JapanToBook

497cfb6c3148b560cdcaf6cce1a47c41c551defc

[ "MIT" ]

null

JapanToBook/write_box/settings.py

michael-act/JapanToBook

497cfb6c3148b560cdcaf6cce1a47c41c551defc

[ "MIT" ]

1

2021-03-16T03:03:19.000Z

IMAGES_PATH = 'write_box/images/' FONTS_PATH = 'write_box/fonts/' LOGFILE_PATH = 'log.txt' TOKEN = 'TOKEN'

27.25

34

0.715596

16

109

4.5625

0.5625

0.246575

0.328767

0

0.12844

109

4

35

27.25

0.768421

0

0.420561

0

1

0

false

0

1

0

null

1

0

1

0

null

0

4

7315259c38268a892ca8a87e8fc2aa34d90acd9b

61

py

Python

nautobot_device_onboarding/api/__init__.py

pszulczewski/nautobot-plugin-device-onboarding

9ddec52d7bcc751c4616bd7c1180ed2a1d31ff2c

[ "Apache-2.0" ]

13

2021-03-05T10:47:50.000Z

2022-03-18T19:07:09.000Z

nautobot_device_onboarding/api/__init__.py

pszulczewski/nautobot-plugin-device-onboarding

9ddec52d7bcc751c4616bd7c1180ed2a1d31ff2c

[ "Apache-2.0" ]

18

2021-03-05T10:29:13.000Z

2022-03-08T13:10:38.000Z

nautobot_device_onboarding/api/__init__.py

pszulczewski/nautobot-plugin-device-onboarding

9ddec52d7bcc751c4616bd7c1180ed2a1d31ff2c

[ "Apache-2.0" ]

14

2021-03-06T19:33:46.000Z

2022-03-28T16:31:38.000Z

"""REST API module for nautobot_device_onboarding plugin."""

30.5

60

0.786885

8

61

5.75

1

0

0.098361

61

1

61

0.836364

0.885246

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

7357915ede7ba8d06e997587bc5353a468133815

233

py

Python

13-protocol-abc/typing/randompickload.py

leorochael/example-code-2e

bbc664308a50e0c62d7e7b2f1715eb49d7061456

[ "MIT" ]

1

2021-03-03T13:28:37.000Z

13-protocol-abc/typing/randompickload.py

Turall/example-code-2e

1702717182cff9a48beb55b2a9f5618e9bd1da18

[ "MIT" ]

null

13-protocol-abc/typing/randompickload.py

Turall/example-code-2e

1702717182cff9a48beb55b2a9f5618e9bd1da18

[ "MIT" ]

null

from typing import Protocol, runtime_checkable, Any, Iterable from randompick import RandomPicker @runtime_checkable # <1> class LoadableRandomPicker(RandomPicker, Protocol): # <2> def load(self, Iterable) -> None: ... # <3>

33.285714

61

0.738197

26

233

6.538462

0.730769

0.188235

0

0.015152

0.150215

233

6

62

38.833333

0.843434

0.04721

0

1

0.2

false

0

0.4

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

4

735cf704d973c24a36127b942d51b1402db36470

73

py

Python

test_hello.py

troswell/pynet_terry

019068022fa7b59848aa07a39d2df6c12979b23f

[ "Apache-2.0" ]

null

test_hello.py

troswell/pynet_terry

019068022fa7b59848aa07a39d2df6c12979b23f

[ "Apache-2.0" ]

null

test_hello.py

troswell/pynet_terry

019068022fa7b59848aa07a39d2df6c12979b23f

[ "Apache-2.0" ]

null

print "hello world" print "something else" for i in range(7): print i

10.428571

22

0.69863

13

73

3.923077

0.769231

0

0.017241

0.205479

73

6

23

12.166667

0.862069

0

0.347222

0

null

0

null

0.75

1

0

null

0

1

0

null

0

1

0

1

0

4

b40e023db1eb5544d9786605001e6664097a504f

482

py

Python

django/currencies/serializers.py

AngelOnFira/megagame-controller

033fec84babf80ffd0868a0f7d946ac4c18b061c

[ "MIT" ]

null

django/currencies/serializers.py

AngelOnFira/megagame-controller

033fec84babf80ffd0868a0f7d946ac4c18b061c

[ "MIT" ]

1

2022-03-03T21:56:12.000Z

django/currencies/serializers.py

AngelOnFira/megagame-controller

033fec84babf80ffd0868a0f7d946ac4c18b061c

[ "MIT" ]

null

from rest_framework import serializers from .models import Currency, Transaction, Wallet class TransactionSerializer(serializers.ModelSerializer): class Meta: model = Transaction fields = "__all__" depth = 1 class WalletSerializer(serializers.ModelSerializer): class Meta: model = Wallet fields = ["id"] class CurrencySerializer(serializers.ModelSerializer): class Meta: model = Currency fields = "__all__"

20.956522

57

0.686722

43

482

7.488372

0.488372

0.242236

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482

22

58

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0

null

1

0

null

0

1

0

4

b41aebd6f7ee765f1a9f461189749e4314cf2d9d

94

py

Python

src/obfuscapk/obfuscators/advanced_reflection/__init__.py

AkshayJainG/Obfuscapk

6f2e791dbc06afc17d69393b3e5064cc4821a582

[ "MIT" ]

12

2020-02-24T13:40:41.000Z

2021-05-05T12:41:43.000Z

src/obfuscapk/obfuscators/advanced_reflection/__init__.py

z3r0Sec/Obfuscapk

3adbf7bfa84adf117326409c683e375ceb5a5df4

[ "MIT" ]

null

src/obfuscapk/obfuscators/advanced_reflection/__init__.py

z3r0Sec/Obfuscapk

3adbf7bfa84adf117326409c683e375ceb5a5df4

[ "MIT" ]

3

2020-05-15T16:44:43.000Z

2021-07-31T03:21:14.000Z

#!/usr/bin/env python3.7 # coding: utf-8 from .advanced_reflection import AdvancedReflection

18.8

51

0.787234

13

94

5.615385

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0

0.035714

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94

4

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1

0

null

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1

0

1

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4

b425559ba5fe163a1e49b2cd21bd343f983c6a1e

250

py

Python

pages/models/emitters/__init__.py

kevin-klein/101wiki

8647271c00e8e9d954df2e43ddbf12f5f3d062be

[ "MIT" ]

null

pages/models/emitters/__init__.py

kevin-klein/101wiki

8647271c00e8e9d954df2e43ddbf12f5f3d062be

[ "MIT" ]

1

2020-02-12T00:17:34.000Z

pages/models/emitters/__init__.py

kevin-klein/101wiki

8647271c00e8e9d954df2e43ddbf12f5f3d062be

[ "MIT" ]

null

from .linkemitter import LinkEmitter from .metadatacollector import MetadataCollector from .wikiemitter import WikiEmitter from .schemacollector import SchemaCollector __all__ = ['LinkEmitter', 'MetadataCollector', 'SchemaCollector', 'WikiEmitter']

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1

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false

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0

1

0

null

0

1

0

1

0

4

b4263f1905dbf6a4f434e55aa6b293eea559dd82

16,136

py

Python

python/topics/combinatorial-optimization/minimum-cut-solver.py

fossabot/a-grim-loth

a6c8d549289a39ec981c1e0d0c754bb2708dfff9

[ "MIT" ]

4

2021-06-26T17:18:47.000Z

2022-02-02T15:02:27.000Z

python/topics/combinatorial-optimization/minimum-cut-solver.py

fossabot/a-grim-loth

a6c8d549289a39ec981c1e0d0c754bb2708dfff9

[ "MIT" ]

8

2021-06-29T07:00:32.000Z

2021-12-01T11:26:22.000Z

python/topics/combinatorial-optimization/minimum-cut-solver.py

fossabot/a-grim-loth

a6c8d549289a39ec981c1e0d0c754bb2708dfff9

[ "MIT" ]

3

2021-07-14T14:42:08.000Z

2021-12-07T19:36:53.000Z

class FlowNetwork: """This class is copied from wiki for benchmark.""" def __init__(self): self.adj, self.flow, = ( {}, {}, ) self.src, self.sink = None, None def add_vertex(self, vertex): self.adj[vertex] = [] def add_vertices(self, vertices): map(self.add_vertex, vertices) def get_edges(self, v): return self.adj[v] def add_edge(self, u, v, w=0): self.adj[u].append((v, w)) self.adj[v].append((u, 0)) self.flow[(u, v)] = self.flow[(v, u)] = 0 def find_path(self, source, sink, path): if source == sink: return path for vertex, capacity in self.get_edges(source): residual = capacity - self.flow[(source, vertex)] edge = (source, vertex, residual) if residual > 0 and not edge in path: result = self.find_path(vertex, sink, path + [edge]) if result is not None: return result def max_flow(self, source, sink): path = self.find_path(source, sink, []) while path is not None: flow = min(r for u, v, r in path) for u, v, _ in path: self.flow[(u, v)] += flow self.flow[(v, u)] -= flow path = self.find_path(source, sink, []) return sum( self.flow[(source, vertex)] for vertex, capacity in self.get_edges(source) ) class UndirectedGraph: def __init__(self): self.vertices = [] self.edges = {} def add_vertex(self, v): self.vertices.append(v) self.edges[(v, v)] = 0 def add_vertices(self, v_s): self.vertices.extend(v_s) for v in v_s: self.edges[(v, v)] = 0 def add_edge(self, u, v, w=0): self.edges[(u, v)] = w self.edges[(v, u)] = w def adjacents(self, u): li = [] for v in self.vertices: w = self.edges.get((u, v), 0) if w: li.append((v, w)) return li def merge(self, u, v): """merge u to v, where v is in the graph""" u_adjs = self.adjacents(u) for z, w in u_adjs: self.edges.pop((u, z)) self.edges.pop((z, u)) self.vertices.remove(u) v_adjs = dict(self.adjacents(v)) for n, w in u_adjs: if n == v: continue v_adjs[n] = v_adjs.get(n, 0) + w for n, w in v_adjs.iteritems(): self.edges[(v, n)] = w self.edges[(n, v)] = w def w(g, A, y): if y in A: raise AssertionError return sum(w for v, w in g.adjacents(y) if v in A) def min_cut_phase(g, a): A = {a} V = set(g.vertices) order = [a] while A != V: w_candidates = [ (w(g, A, v), v) for v in V - A ] #: candidates for most tightly connected _, x = max(w_candidates) A.add(x) order.append(x) t, s = order[-1], order[-2] min_cut = sum(w for v, w in g.adjacents(t)) g.merge(t, s) return min_cut def minimum_cut(g, a): min_cut = sum(w for v, w in g.adjacents(a)) while len(g.vertices) > 1: min_cut_candidate = min_cut_phase(g, a) if min_cut_candidate < min_cut: min_cut = min_cut_candidate return min_cut class Reader: """A file reader: read the formated input data provided by Q2914: Minimum Cut""" def __init__(self, fd): """@param fd: an opened file-like object, and its contents are the input data.""" self.fd = fd def gen_graph(self): """a generator that yield graphs in order""" while True: try: line = self.fd.__next__ nVertices, nEdges = map(int, line.split()) if g_TryFlowNetwork: g = FlowNetwork() g.add_vertices(range(nVertices)) for i in range(nEdges): u, v, w = map(int, self.fd.next().split()) if u < v: g.add_edge(u, v, w) else: g.add_edge(v, u, w) g.src, g.sink = 0, nVertices - 1 else: g = UndirectedGraph() g.add_vertices(range(nVertices)) for i in range(nEdges): u, v, w = map(int, self.fd.next().split()) g.add_edge(u, v, w) yield g except StopIteration: break def __del__(self): self.fd.close() if __name__ == "__main__": import time from io import StringIO test_input = """3 3 0 1 1 1 2 1 2 0 1 4 3 0 1 1 1 2 1 2 3 1 8 14 0 1 1 0 2 1 0 3 1 1 2 1 1 3 1 2 3 1 4 5 1 4 6 1 4 7 1 5 6 1 5 7 1 6 7 1 4 0 1 7 3 1 8 12 0 1 2 0 4 3 1 4 2 4 5 3 1 2 3 1 5 2 5 6 1 2 6 2 2 3 4 3 6 2 3 7 2 6 7 3 5 10 0 1 1 0 2 1 0 3 1 0 4 1 1 2 1 1 3 1 1 4 1 2 3 1 2 4 1 3 4 1 20 190 0 1 1 0 2 1 0 3 1 0 4 1 0 5 1 0 6 1 0 7 1 0 8 1 0 9 1 0 10 1 0 11 1 0 12 1 0 13 1 0 14 1 0 15 1 0 16 1 0 17 1 0 18 1 0 19 1 1 2 1 1 3 1 1 4 1 1 5 1 1 6 1 1 7 1 1 8 1 1 9 1 1 10 1 1 11 1 1 12 1 1 13 1 1 14 1 1 15 1 1 16 1 1 17 1 1 18 1 1 19 1 2 3 1 2 4 1 2 5 1 2 6 1 2 7 1 2 8 1 2 9 1 2 10 1 2 11 1 2 12 1 2 13 1 2 14 1 2 15 1 2 16 1 2 17 1 2 18 1 2 19 1 3 4 1 3 5 1 3 6 1 3 7 1 3 8 1 3 9 1 3 10 1 3 11 1 3 12 1 3 13 1 3 14 1 3 15 1 3 16 1 3 17 1 3 18 1 3 19 1 4 5 1 4 6 1 4 7 1 4 8 1 4 9 1 4 10 1 4 11 1 4 12 1 4 13 1 4 14 1 4 15 1 4 16 1 4 17 1 4 18 1 4 19 1 5 6 1 5 7 1 5 8 1 5 9 1 5 10 1 5 11 1 5 12 1 5 13 1 5 14 1 5 15 1 5 16 1 5 17 1 5 18 1 5 19 1 6 7 1 6 8 1 6 9 1 6 10 1 6 11 1 6 12 1 6 13 1 6 14 1 6 15 1 6 16 1 6 17 1 6 18 1 6 19 1 7 8 1 7 9 1 7 10 1 7 11 1 7 12 1 7 13 1 7 14 1 7 15 1 7 16 1 7 17 1 7 18 1 7 19 1 8 9 1 8 10 1 8 11 1 8 12 1 8 13 1 8 14 1 8 15 1 8 16 1 8 17 1 8 18 1 8 19 1 9 10 1 9 11 1 9 12 1 9 13 1 9 14 1 9 15 1 9 16 1 9 17 1 9 18 1 9 19 1 10 11 1 10 12 1 10 13 1 10 14 1 10 15 1 10 16 1 10 17 1 10 18 1 10 19 1 11 12 1 11 13 1 11 14 1 11 15 1 11 16 1 11 17 1 11 18 1 11 19 1 12 13 1 12 14 1 12 15 1 12 16 1 12 17 1 12 18 1 12 19 1 13 14 1 13 15 1 13 16 1 13 17 1 13 18 1 13 19 1 14 15 1 14 16 1 14 17 1 14 18 1 14 19 1 15 16 1 15 17 1 15 18 1 15 19 1 16 17 1 16 18 1 16 19 1 17 18 1 17 19 1 18 19 1 50 1225 0 1 1 0 2 1 0 3 1 0 4 1 0 5 1 0 6 1 0 7 1 0 8 1 0 9 1 0 10 1 0 11 1 0 12 1 0 13 1 0 14 1 0 15 1 0 16 1 0 17 1 0 18 1 0 19 1 0 20 1 0 21 1 0 22 1 0 23 1 0 24 1 0 25 1 0 26 1 0 27 1 0 28 1 0 29 1 0 30 1 0 31 1 0 32 1 0 33 1 0 34 1 0 35 1 0 36 1 0 37 1 0 38 1 0 39 1 0 40 1 0 41 1 0 42 1 0 43 1 0 44 1 0 45 1 0 46 1 0 47 1 0 48 1 0 49 1 1 2 1 1 3 1 1 4 1 1 5 1 1 6 1 1 7 1 1 8 1 1 9 1 1 10 1 1 11 1 1 12 1 1 13 1 1 14 1 1 15 1 1 16 1 1 17 1 1 18 1 1 19 1 1 20 1 1 21 1 1 22 1 1 23 1 1 24 1 1 25 1 1 26 1 1 27 1 1 28 1 1 29 1 1 30 1 1 31 1 1 32 1 1 33 1 1 34 1 1 35 1 1 36 1 1 37 1 1 38 1 1 39 1 1 40 1 1 41 1 1 42 1 1 43 1 1 44 1 1 45 1 1 46 1 1 47 1 1 48 1 1 49 1 2 3 1 2 4 1 2 5 1 2 6 1 2 7 1 2 8 1 2 9 1 2 10 1 2 11 1 2 12 1 2 13 1 2 14 1 2 15 1 2 16 1 2 17 1 2 18 1 2 19 1 2 20 1 2 21 1 2 22 1 2 23 1 2 24 1 2 25 1 2 26 1 2 27 1 2 28 1 2 29 1 2 30 1 2 31 1 2 32 1 2 33 1 2 34 1 2 35 1 2 36 1 2 37 1 2 38 1 2 39 1 2 40 1 2 41 1 2 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30 1 16 31 1 16 32 1 16 33 1 16 34 1 16 35 1 16 36 1 16 37 1 16 38 1 16 39 1 16 40 1 16 41 1 16 42 1 16 43 1 16 44 1 16 45 1 16 46 1 16 47 1 16 48 1 16 49 1 17 18 1 17 19 1 17 20 1 17 21 1 17 22 1 17 23 1 17 24 1 17 25 1 17 26 1 17 27 1 17 28 1 17 29 1 17 30 1 17 31 1 17 32 1 17 33 1 17 34 1 17 35 1 17 36 1 17 37 1 17 38 1 17 39 1 17 40 1 17 41 1 17 42 1 17 43 1 17 44 1 17 45 1 17 46 1 17 47 1 17 48 1 17 49 1 18 19 1 18 20 1 18 21 1 18 22 1 18 23 1 18 24 1 18 25 1 18 26 1 18 27 1 18 28 1 18 29 1 18 30 1 18 31 1 18 32 1 18 33 1 18 34 1 18 35 1 18 36 1 18 37 1 18 38 1 18 39 1 18 40 1 18 41 1 18 42 1 18 43 1 18 44 1 18 45 1 18 46 1 18 47 1 18 48 1 18 49 1 19 20 1 19 21 1 19 22 1 19 23 1 19 24 1 19 25 1 19 26 1 19 27 1 19 28 1 19 29 1 19 30 1 19 31 1 19 32 1 19 33 1 19 34 1 19 35 1 19 36 1 19 37 1 19 38 1 19 39 1 19 40 1 19 41 1 19 42 1 19 43 1 19 44 1 19 45 1 19 46 1 19 47 1 19 48 1 19 49 1 20 21 1 20 22 1 20 23 1 20 24 1 20 25 1 20 26 1 20 27 1 20 28 1 20 29 1 20 30 1 20 31 1 20 32 1 20 33 1 20 34 1 20 35 1 20 36 1 20 37 1 20 38 1 20 39 1 20 40 1 20 41 1 20 42 1 20 43 1 20 44 1 20 45 1 20 46 1 20 47 1 20 48 1 20 49 1 21 22 1 21 23 1 21 24 1 21 25 1 21 26 1 21 27 1 21 28 1 21 29 1 21 30 1 21 31 1 21 32 1 21 33 1 21 34 1 21 35 1 21 36 1 21 37 1 21 38 1 21 39 1 21 40 1 21 41 1 21 42 1 21 43 1 21 44 1 21 45 1 21 46 1 21 47 1 21 48 1 21 49 1 22 23 1 22 24 1 22 25 1 22 26 1 22 27 1 22 28 1 22 29 1 22 30 1 22 31 1 22 32 1 22 33 1 22 34 1 22 35 1 22 36 1 22 37 1 22 38 1 22 39 1 22 40 1 22 41 1 22 42 1 22 43 1 22 44 1 22 45 1 22 46 1 22 47 1 22 48 1 22 49 1 23 24 1 23 25 1 23 26 1 23 27 1 23 28 1 23 29 1 23 30 1 23 31 1 23 32 1 23 33 1 23 34 1 23 35 1 23 36 1 23 37 1 23 38 1 23 39 1 23 40 1 23 41 1 23 42 1 23 43 1 23 44 1 23 45 1 23 46 1 23 47 1 23 48 1 23 49 1 24 25 1 24 26 1 24 27 1 24 28 1 24 29 1 24 30 1 24 31 1 24 32 1 24 33 1 24 34 1 24 35 1 24 36 1 24 37 1 24 38 1 24 39 1 24 40 1 24 41 1 24 42 1 24 43 1 24 44 1 24 45 1 24 46 1 24 47 1 24 48 1 24 49 1 25 26 1 25 27 1 25 28 1 25 29 1 25 30 1 25 31 1 25 32 1 25 33 1 25 34 1 25 35 1 25 36 1 25 37 1 25 38 1 25 39 1 25 40 1 25 41 1 25 42 1 25 43 1 25 44 1 25 45 1 25 46 1 25 47 1 25 48 1 25 49 1 26 27 1 26 28 1 26 29 1 26 30 1 26 31 1 26 32 1 26 33 1 26 34 1 26 35 1 26 36 1 26 37 1 26 38 1 26 39 1 26 40 1 26 41 1 26 42 1 26 43 1 26 44 1 26 45 1 26 46 1 26 47 1 26 48 1 26 49 1 27 28 1 27 29 1 27 30 1 27 31 1 27 32 1 27 33 1 27 34 1 27 35 1 27 36 1 27 37 1 27 38 1 27 39 1 27 40 1 27 41 1 27 42 1 27 43 1 27 44 1 27 45 1 27 46 1 27 47 1 27 48 1 27 49 1 28 29 1 28 30 1 28 31 1 28 32 1 28 33 1 28 34 1 28 35 1 28 36 1 28 37 1 28 38 1 28 39 1 28 40 1 28 41 1 28 42 1 28 43 1 28 44 1 28 45 1 28 46 1 28 47 1 28 48 1 28 49 1 29 30 1 29 31 1 29 32 1 29 33 1 29 34 1 29 35 1 29 36 1 29 37 1 29 38 1 29 39 1 29 40 1 29 41 1 29 42 1 29 43 1 29 44 1 29 45 1 29 46 1 29 47 1 29 48 1 29 49 1 30 31 1 30 32 1 30 33 1 30 34 1 30 35 1 30 36 1 30 37 1 30 38 1 30 39 1 30 40 1 30 41 1 30 42 1 30 43 1 30 44 1 30 45 1 30 46 1 30 47 1 30 48 1 30 49 1 31 32 1 31 33 1 31 34 1 31 35 1 31 36 1 31 37 1 31 38 1 31 39 1 31 40 1 31 41 1 31 42 1 31 43 1 31 44 1 31 45 1 31 46 1 31 47 1 31 48 1 31 49 1 32 33 1 32 34 1 32 35 1 32 36 1 32 37 1 32 38 1 32 39 1 32 40 1 32 41 1 32 42 1 32 43 1 32 44 1 32 45 1 32 46 1 32 47 1 32 48 1 32 49 1 33 34 1 33 35 1 33 36 1 33 37 1 33 38 1 33 39 1 33 40 1 33 41 1 33 42 1 33 43 1 33 44 1 33 45 1 33 46 1 33 47 1 33 48 1 33 49 1 34 35 1 34 36 1 34 37 1 34 38 1 34 39 1 34 40 1 34 41 1 34 42 1 34 43 1 34 44 1 34 45 1 34 46 1 34 47 1 34 48 1 34 49 1 35 36 1 35 37 1 35 38 1 35 39 1 35 40 1 35 41 1 35 42 1 35 43 1 35 44 1 35 45 1 35 46 1 35 47 1 35 48 1 35 49 1 36 37 1 36 38 1 36 39 1 36 40 1 36 41 1 36 42 1 36 43 1 36 44 1 36 45 1 36 46 1 36 47 1 36 48 1 36 49 1 37 38 1 37 39 1 37 40 1 37 41 1 37 42 1 37 43 1 37 44 1 37 45 1 37 46 1 37 47 1 37 48 1 37 49 1 38 39 1 38 40 1 38 41 1 38 42 1 38 43 1 38 44 1 38 45 1 38 46 1 38 47 1 38 48 1 38 49 1 39 40 1 39 41 1 39 42 1 39 43 1 39 44 1 39 45 1 39 46 1 39 47 1 39 48 1 39 49 1 40 41 1 40 42 1 40 43 1 40 44 1 40 45 1 40 46 1 40 47 1 40 48 1 40 49 1 41 42 1 41 43 1 41 44 1 41 45 1 41 46 1 41 47 1 41 48 1 41 49 1 42 43 1 42 44 1 42 45 1 42 46 1 42 47 1 42 48 1 42 49 1 43 44 1 43 45 1 43 46 1 43 47 1 43 48 1 43 49 1 44 45 1 44 46 1 44 47 1 44 48 1 44 49 1 45 46 1 45 47 1 45 48 1 45 49 1 46 47 1 46 48 1 46 49 1 47 48 1 47 49 1 48 49 1 """ g_TryFlowNetwork = ( #: when this variable is True, use FlowNetwork to find the min cut. False ) fd = StringIO() fd.write(test_input) fd.seek(0) r = Reader(fd) for g in r.gen_graph(): start_time = time.time() if g_TryFlowNetwork: print(g.max_flow(g.src, g.sink)) else: print(minimum_cut(g, 1)) print(time.time() - start_time)

9.803159

89

0.564948

5,099

16,136

1.770151

0.03687

0.017505

0.002327

0.002659

0.232772

0.225127

0.216929

0.209284

0.196986

0.191115

0

0.673057

0.395513

16,136

1,645

90

9.809119

0.252307

0.023488

0

0.268944

0

0.695359

0

0.000621

1

0.011801

false

0

0.001242

0.000621

0.019876

0.001863

0

1

null

0

1

0

1

0

1

0

null

0

4

b4373ff6d17a3b97be42cb4c08f94d13559443ff

829

py

Python

tests/test_sequnpack.py

keisukefukuda/msgpack-python-pure

a67e6a143059ae1504bcc08572d55cfe377855e7

[ "Apache-2.0" ]

2

2015-04-21T03:00:03.000Z

2021-05-10T16:41:39.000Z

tests/test_sequnpack.py

keisukefukuda/msgpack-python-pure

a67e6a143059ae1504bcc08572d55cfe377855e7

[ "Apache-2.0" ]

null

tests/test_sequnpack.py

keisukefukuda/msgpack-python-pure

a67e6a143059ae1504bcc08572d55cfe377855e7

[ "Apache-2.0" ]

null

#!/usr/bin/env python # coding: utf-8 from nose.tools import * from msgpack import Unpacker def test_foobar(): unpacker = Unpacker(read_size=3) unpacker.feed('foobar') assert_equal(unpacker.unpack(), ord('f')) assert_equal(unpacker.unpack(), ord('o')) assert_equal(unpacker.unpack(), ord('o')) assert_equal(unpacker.unpack(), ord('b')) assert_equal(unpacker.unpack(), ord('a')) assert_equal(unpacker.unpack(), ord('r')) try: o = unpacker.unpack() print "Oops!", o assert 0 except StopIteration: assert 1 else: assert 0 unpacker.feed('foo') unpacker.feed('bar') k = 0 for o, e in zip(unpacker, 'foobarbaz'): assert o == ord(e) k += 1 assert k == len('foobar') if __name__ == '__main__': test_foobar()

23.027778

45

0.598311

108

829

4.435185

0.453704

0.204593

0.237996

0.313152

0.354906

0.179541

0

0.011182

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b43ccd14028811d4d4444a0a8988c5696d19120f

499

py

Python

tests/emmet-core/test_mpid.py

wuxiaohua1011/emmet

49ae8f67fe42a00e1c3157667a23b4ce2d86a729

[ "BSD-3-Clause-LBNL" ]

null

tests/emmet-core/test_mpid.py

wuxiaohua1011/emmet

49ae8f67fe42a00e1c3157667a23b4ce2d86a729

[ "BSD-3-Clause-LBNL" ]

29

2021-05-31T07:05:46.000Z

2022-03-28T15:08:24.000Z

tests/emmet-core/test_mpid.py

wuxiaohua1011/emmet

49ae8f67fe42a00e1c3157667a23b4ce2d86a729

[ "BSD-3-Clause-LBNL" ]

null

from emmet.core.mpid import MPID def test_mpid(): assert MPID("mp-3") == MPID("mp-3") assert MPID("mp-3") < 3 assert MPID("mp-3") < MPID("np-3") assert MPID("mp-3") > MPID("mp-2") assert 3 > MPID("mp-3") assert min([MPID("mp-44545"), MPID("mp-33"), MPID("mp-2134234")]) == MPID("mp-33") assert ( len(set([MPID("mp-33"), MPID("mp-44545"), MPID("mp-33"), MPID("mp-2134234")])) == 3 ) def test_to_str(): assert str(MPID("mp-149")) == "mp-149"

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null

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b468c167ac77a3112e818d92b00408cc74cec6cc

147

py

Python

tests/test_zint_url.py

dionboles/cda-python

2e00d29931801bb977d20028cb4795195d550aa4

[ "Apache-2.0" ]

7

2021-02-24T15:30:13.000Z

2022-02-25T21:32:05.000Z

tests/test_zint_url.py

dionboles/cda-python

2e00d29931801bb977d20028cb4795195d550aa4

[ "Apache-2.0" ]

82

2021-02-26T14:53:18.000Z

2022-03-24T17:53:57.000Z

tests/test_zint_url.py

dionboles/cda-python

2e00d29931801bb977d20028cb4795195d550aa4

[ "Apache-2.0" ]

5

2021-03-11T15:19:47.000Z

2022-03-08T20:39:12.000Z

from cdapython import Q def test_url_change(): Q.set_host_url("http://34.71.0.127:8080") assert Q.get_host_url().split(":")[2] == "8080"

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null

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4

b47b8bf4add81cd76da099637c22bf34df61b483

825

py

Python

python/simple_calculator.py

YashKrSaini/basic-algorithms

114e24f1eb18548901b29f354184787d091eede5

[ "MIT" ]

null

python/simple_calculator.py

YashKrSaini/basic-algorithms

114e24f1eb18548901b29f354184787d091eede5

[ "MIT" ]

null

python/simple_calculator.py

YashKrSaini/basic-algorithms

114e24f1eb18548901b29f354184787d091eede5

[ "MIT" ]

null

def calculator(): print " List of the fuctions : " print " 1. Add " print " 2. Sub " print " 3. Mul " print " 4. Div " opt=input(" Enter your number => ") if opt==01: a=input(" Enter your first number : ") b=input(" Enter your second number: ") c=a+b print c elif opt==02: a=input(" Enter your first number : ") b=input(" Enter your second number: ") c=a-b print c elif opt==03: a=input(" Enter your first number : ") b=input(" Enter your second number: ") c=a*b print c elif opt==04: a=input(" Enter your first number : ") b=input(" Enter your second number: ") c=a/b print c else : print " wrong command : " calculator() calculator()

25.78125

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81f1e6cfc0e95de87dcad65f1a18552346063078

14,582

py

Python

pymatgen/analysis/tests/test_piezo_sensitivity.py

exenGT/pymatgen

a8ffb820ab8fc3f60251099e38c8888f45eae618

[ "MIT" ]

1

2021-11-02T21:10:11.000Z

pymatgen/analysis/tests/test_piezo_sensitivity.py

exenGT/pymatgen

a8ffb820ab8fc3f60251099e38c8888f45eae618

[ "MIT" ]

5

2018-08-07T23:00:23.000Z

2021-01-05T22:46:23.000Z

pymatgen/analysis/tests/test_piezo_sensitivity.py

exenGT/pymatgen

a8ffb820ab8fc3f60251099e38c8888f45eae618

[ "MIT" ]

6

2019-04-26T18:50:41.000Z

2020-03-29T17:58:34.000Z

# Copyright (c) Pymatgen Development Team. # Distributed under the terms of the MIT License. """ Test for the piezo tensor class """ __author__ = "Handong Ling" __version__ = "0.1" __maintainer__ = "Handong Ling" __email__ = "handongling@berkeley.edu" __status__ = "Development" __date__ = "4/23/19" import os import unittest import numpy as np import pymatgen from pymatgen.analysis.piezo import PiezoTensor from pymatgen.analysis.piezo_sensitivity import * from pymatgen.symmetry import site_symmetries as ss from pymatgen.symmetry.analyzer import SpacegroupAnalyzer as sga from pymatgen.util.testing import PymatgenTest try: from phonopy import Phonopy except ImportError: Phonopy = None test_dir = os.path.join(PymatgenTest.TEST_FILES_DIR, "piezo_sensitivity") class PiezoSensitivityTest(PymatgenTest): def setUp(self): self.piezo_struc = self.get_structure("Pb2TiZrO6") self.IST = np.load(os.path.join(test_dir, "pztist.npy"), allow_pickle=True) self.BEC = np.load(os.path.join(test_dir, "pztborn.npy"), allow_pickle=True) self.FCM = np.load(os.path.join(test_dir, "pztfcm.npy"), allow_pickle=True) self.pointops = np.load(os.path.join(test_dir, "pointops.npy"), allow_pickle=True) self.sharedops = np.load(os.path.join(test_dir, "sharedops.npy"), allow_pickle=True) self.BEC_operations = np.load(os.path.join(test_dir, "becops.npy"), allow_pickle=True) self.IST_operations = np.load(os.path.join(test_dir, "istops.npy"), allow_pickle=True) self.FCM_operations = np.load(os.path.join(test_dir, "fcmops.npy"), allow_pickle=True) self.piezo = np.array( [ [ [5.32649351e-03, -1.33404642e-14, -6.86958142e02], [-1.33404642e-14, 4.95526253e-03, -5.60353712e-13], [-6.86958142e02, -5.60353712e-13, 1.33209787e-02], ], [ [4.86622567e-03, 3.14840965e-13, -7.41608150e-13], [3.14840965e-13, 5.23745666e-03, -6.68536818e02], [-7.41608150e-13, -6.68536818e02, 1.35025755e-02], ], [ [-1.01086427e02, 3.20177004e-14, -3.68487214e-14], [3.20177004e-14, -1.01086427e02, 1.22012318e-14], [-3.68487214e-14, 1.22012318e-14, -5.32241086e02], ], ] ) def test_BornEffectiveChargeTensor(self): bec = BornEffectiveCharge(self.piezo_struc, self.BEC, self.pointops) self.assertArrayAlmostEqual(self.BEC, bec.bec) def test_InternalStrainTensor(self): ist = InternalStrainTensor(self.piezo_struc, self.IST, self.pointops) self.assertArrayAlmostEqual(ist.ist, self.IST) def test_ForceConstantMatrix(self): fcmt = ForceConstantMatrix(self.piezo_struc, self.FCM, self.pointops, self.sharedops) self.assertArrayAlmostEqual(fcmt.fcm, self.FCM) def test_get_BEC_operations(self): bec = BornEffectiveCharge(self.piezo_struc, self.BEC, self.pointops) bec.get_BEC_operations() self.assertTrue(np.all(self.BEC_operations == bec.BEC_operations)) def test_get_rand_BEC(self): bec = BornEffectiveCharge(self.piezo_struc, self.BEC, self.pointops) bec.get_BEC_operations() rand_BEC = bec.get_rand_BEC() for i in range(len(self.BEC_operations)): for j in range(len(self.BEC_operations[i][2])): self.assertTrue( np.allclose( rand_BEC[self.BEC_operations[i][0]], self.BEC_operations[i][2][j].transform_tensor(rand_BEC[self.BEC_operations[i][1]]), atol=1e-03, ) ) def test_get_rand_IST(self): ist = InternalStrainTensor(self.piezo_struc, self.IST, self.pointops) ist.get_IST_operations() rand_IST = ist.get_rand_IST() for i in range(len(self.IST_operations)): for j in range(len(self.IST_operations[i])): self.assertTrue( np.allclose( rand_IST[i], self.IST_operations[i][j][1].transform_tensor(rand_IST[self.IST_operations[i][j][0]]), atol=1e-03, ) ) def test_get_FCM_operations(self): fcm = ForceConstantMatrix(self.piezo_struc, self.FCM, self.pointops, self.sharedops) fcm.get_FCM_operations() self.assertTrue(np.all(fcm.FCM_operations == self.FCM_operations)) def test_get_unstable_FCM(self): fcm = ForceConstantMatrix(self.piezo_struc, self.FCM, self.pointops, self.sharedops) fcm.get_FCM_operations() rand_FCM = fcm.get_unstable_FCM() rand_FCM = np.reshape(rand_FCM, (10, 3, 10, 3)).swapaxes(1, 2) for i in range(len(self.FCM_operations)): for j in range(len(self.FCM_operations[i][4])): self.assertTrue( np.allclose( self.FCM_operations[i][4][j].transform_tensor( rand_FCM[self.FCM_operations[i][2]][self.FCM_operations[i][3]] ), rand_FCM[self.FCM_operations[i][0]][self.FCM_operations[i][1]], atol=1e-04, ) ) def test_get_FCM_symmetry(self): fcm = ForceConstantMatrix(self.piezo_struc, self.FCM, self.pointops, self.sharedops) fcm.get_FCM_operations() fcm = fcm.get_symmetrized_FCM(np.random.rand(30, 30)) fcm = np.reshape(fcm, (10, 3, 10, 3)).swapaxes(1, 2) for i in range(len(self.FCM_operations)): for j in range(len(self.FCM_operations[i][4])): self.assertTrue( np.allclose( self.FCM_operations[i][4][j].transform_tensor( fcm[self.FCM_operations[i][2]][self.FCM_operations[i][3]] ), fcm[self.FCM_operations[i][0]][self.FCM_operations[i][1]], atol=1e-04, ) ) def test_get_asum_FCM(self): fcm = ForceConstantMatrix(self.piezo_struc, self.FCM, self.pointops, self.sharedops) fcm.get_FCM_operations() rand_FCM = fcm.get_unstable_FCM() rand_FCM = fcm.get_asum_FCM(rand_FCM) rand_FCM = np.reshape(rand_FCM, (10, 3, 10, 3)).swapaxes(1, 2) for i in range(len(self.FCM_operations)): for j in range(len(self.FCM_operations[i][4])): self.assertTrue( np.allclose( self.FCM_operations[i][4][j].transform_tensor( rand_FCM[self.FCM_operations[i][2]][self.FCM_operations[i][3]] ), rand_FCM[self.FCM_operations[i][0]][self.FCM_operations[i][1]], atol=1e-04, ) ) for i in range(len(rand_FCM)): asum1 = np.zeros([3, 3]) asum2 = np.zeros([3, 3]) for j in range(len(rand_FCM[i])): asum1 += rand_FCM[i][j] asum2 += rand_FCM[j][i] self.assertTrue(np.allclose(asum1, np.zeros([3, 3]), atol=1e-05)) self.assertTrue(np.allclose(asum2, np.zeros([3, 3]), atol=1e-05)) def test_get_stable_FCM(self): fcm = ForceConstantMatrix(self.piezo_struc, self.FCM, self.pointops, self.sharedops) fcm.get_FCM_operations() rand_FCM = fcm.get_unstable_FCM() rand_FCM1 = fcm.get_stable_FCM(rand_FCM) eigs, vecs = np.linalg.eig(rand_FCM1) eigsort = np.argsort(np.abs(eigs)) for i in range(3, len(eigs)): self.assertTrue(eigs[eigsort[i]] < 1e-06) rand_FCM1 = np.reshape(rand_FCM1, (10, 3, 10, 3)).swapaxes(1, 2) for i in range(len(self.FCM_operations)): for j in range(len(self.FCM_operations[i][4])): self.assertTrue( np.allclose( self.FCM_operations[i][4][j].transform_tensor( rand_FCM1[self.FCM_operations[i][2]][self.FCM_operations[i][3]] ), rand_FCM1[self.FCM_operations[i][0]][self.FCM_operations[i][1]], atol=1e-04, ) ) for i in range(len(rand_FCM1)): asum1 = np.zeros([3, 3]) asum2 = np.zeros([3, 3]) for j in range(len(rand_FCM1[i])): asum1 += rand_FCM1[i][j] asum2 += rand_FCM1[j][i] self.assertTrue(np.allclose(asum1, np.zeros([3, 3]), atol=1e-05)) self.assertTrue(np.allclose(asum2, np.zeros([3, 3]), atol=1e-05)) @unittest.skipIf(Phonopy is None, "Phonopy not present") def test_rand_FCM(self): fcm = ForceConstantMatrix(self.piezo_struc, self.FCM, self.pointops, self.sharedops) fcm.get_FCM_operations() rand_FCM = fcm.get_rand_FCM() structure = pymatgen.io.phonopy.get_phonopy_structure(self.piezo_struc) pnstruc = Phonopy(structure, np.eye(3), np.eye(3)) pnstruc.set_force_constants(rand_FCM) dyn = pnstruc.get_dynamical_matrix_at_q([0, 0, 0]) dyn = np.reshape(dyn, (10, 3, 10, 3)).swapaxes(1, 2) dyn = np.real(dyn) numsites = len(self.piezo_struc) masses = [] for j in range(numsites): masses.append(self.piezo_struc.sites[j].specie.atomic_mass) dynmass = np.zeros([numsites, numsites, 3, 3]) for m in range(numsites): for n in range(numsites): dynmass[m][n] = dyn[m][n] / np.sqrt(masses[m]) / np.sqrt(masses[n]) dynmass = np.reshape(np.swapaxes(dynmass, 1, 2), (10 * 3, 10 * 3)) eigs, vecs = np.linalg.eig(dynmass) eigsort = np.argsort(np.abs(eigs)) for i in range(3, len(eigs)): self.assertTrue(eigs[eigsort[i]] < 1e-06) # rand_FCM1 = np.reshape(rand_FCM1, (10,3,10,3)).swapaxes(1,2) dynmass = np.reshape(dynmass, (10, 3, 10, 3)).swapaxes(1, 2) for i in range(len(self.FCM_operations)): for j in range(len(self.FCM_operations[i][4])): self.assertTrue( np.allclose( self.FCM_operations[i][4][j].transform_tensor( dynmass[self.FCM_operations[i][2]][self.FCM_operations[i][3]] ), dynmass[self.FCM_operations[i][0]][self.FCM_operations[i][1]], atol=1e-04, ) ) for i in range(len(dynmass)): asum1 = np.zeros([3, 3]) asum2 = np.zeros([3, 3]) for j in range(len(dynmass[i])): asum1 += dynmass[i][j] asum2 += dynmass[j][i] self.assertTrue(np.allclose(asum1, np.zeros([3, 3]), atol=1e-05)) self.assertTrue(np.allclose(asum2, np.zeros([3, 3]), atol=1e-05)) def test_get_piezo(self): piezo = get_piezo(self.BEC, self.IST, self.FCM) self.assertTrue(np.allclose(piezo, self.piezo, atol=1e-05)) @unittest.skipIf(Phonopy is None, "Phonopy not present") def test_rand_piezo(self): rand_BEC, rand_IST, rand_FCM, piezo = rand_piezo( self.piezo_struc, self.pointops, self.sharedops, self.BEC, self.IST, self.FCM, ) for i in range(len(self.BEC_operations)): for j in range(len(self.BEC_operations[i][2])): self.assertTrue( np.allclose( rand_BEC[self.BEC_operations[i][0]], self.BEC_operations[i][2][j].transform_tensor(rand_BEC[self.BEC_operations[i][1]]), atol=1e-03, ) ) for i in range(len(self.IST_operations)): for j in range(len(self.IST_operations[i])): self.assertTrue( np.allclose( rand_IST[i], self.IST_operations[i][j][1].transform_tensor(rand_IST[self.IST_operations[i][j][0]]), atol=1e-03, ) ) structure = pymatgen.io.phonopy.get_phonopy_structure(self.piezo_struc) pnstruc = Phonopy(structure, np.eye(3), np.eye(3)) pnstruc.set_force_constants(rand_FCM) dyn = pnstruc.get_dynamical_matrix_at_q([0, 0, 0]) dyn = np.reshape(dyn, (10, 3, 10, 3)).swapaxes(1, 2) dyn = np.real(dyn) numsites = len(self.piezo_struc) masses = [] for j in range(numsites): masses.append(self.piezo_struc.sites[j].specie.atomic_mass) dynmass = np.zeros([numsites, numsites, 3, 3]) for m in range(numsites): for n in range(numsites): dynmass[m][n] = dyn[m][n] / np.sqrt(masses[m]) / np.sqrt(masses[n]) dynmass = np.reshape(np.swapaxes(dynmass, 1, 2), (10 * 3, 10 * 3)) eigs, vecs = np.linalg.eig(dynmass) eigsort = np.argsort(np.abs(eigs)) for i in range(3, len(eigs)): self.assertTrue(eigs[eigsort[i]] < 1e-06) # rand_FCM1 = np.reshape(rand_FCM1, (10,3,10,3)).swapaxes(1,2) dynmass = np.reshape(dynmass, (10, 3, 10, 3)).swapaxes(1, 2) for i in range(len(self.FCM_operations)): for j in range(len(self.FCM_operations[i][4])): self.assertTrue( np.allclose( self.FCM_operations[i][4][j].transform_tensor( dynmass[self.FCM_operations[i][2]][self.FCM_operations[i][3]] ), dynmass[self.FCM_operations[i][0]][self.FCM_operations[i][1]], atol=1e-04, ) ) for i in range(len(dynmass)): asum1 = np.zeros([3, 3]) asum2 = np.zeros([3, 3]) for j in range(len(dynmass[i])): asum1 += dynmass[i][j] asum2 += dynmass[j][i] self.assertTrue(np.allclose(asum1, np.zeros([3, 3]), atol=1e-05)) self.assertTrue(np.allclose(asum2, np.zeros([3, 3]), atol=1e-05)) if __name__ == "__main__": unittest.main()

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1

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null

0

4

81fad5ae1abcbae616039774cab15ff0e81964d6

222

py

Python

tests/context.py

bartbroere/lir

041f1cea40366937d56c43bb15712873eb3e8a0a

[ "Apache-2.0" ]

6

2020-12-24T08:20:04.000Z

2022-02-03T15:31:20.000Z

tests/context.py

bartbroere/lir

041f1cea40366937d56c43bb15712873eb3e8a0a

[ "Apache-2.0" ]

23

2021-02-19T10:48:20.000Z

2022-03-20T12:58:11.000Z

tests/context.py

bartbroere/lir

041f1cea40366937d56c43bb15712873eb3e8a0a

[ "Apache-2.0" ]

2

2021-03-04T15:26:30.000Z

2021-03-08T13:39:45.000Z

from __future__ import absolute_import import os import sys # this is a hack https://github.com/pytest-dev/pytest/issues/2421 sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))) import lir

24.666667

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null

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1

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81febafbd825396029588603c05ad070cc6866e9

2,339

py

Python

recipe/run_test.py

regro-cf-autotick-bot/scipy-feedstock

666864e2ecbe5665b82d09ceb0bfd6f8bd61c94a

[ "BSD-3-Clause" ]

null

recipe/run_test.py

regro-cf-autotick-bot/scipy-feedstock

666864e2ecbe5665b82d09ceb0bfd6f8bd61c94a

[ "BSD-3-Clause" ]

null

recipe/run_test.py

regro-cf-autotick-bot/scipy-feedstock

666864e2ecbe5665b82d09ceb0bfd6f8bd61c94a

[ "BSD-3-Clause" ]

null

import sys import os # Use OpenBLAS with 1 thread only as it seems to be using too many # on the CIs apparently. os.environ["OPENBLAS_NUM_THREADS"] = "1" import scipy import scipy.cluster._hierarchy import scipy.cluster._vq import scipy.fftpack._fftpack import scipy.fftpack.convolve import scipy.integrate._dop import scipy.integrate._odepack import scipy.integrate._quadpack import scipy.integrate._test_multivariate import scipy.integrate._test_odeint_banded import scipy.integrate.lsoda import scipy.integrate.vode import scipy.interpolate._fitpack import scipy.interpolate._interpolate import scipy.interpolate._ppoly import scipy.interpolate.dfitpack import scipy.interpolate.interpnd import scipy.io.matlab.mio5_utils import scipy.io.matlab.mio_utils import scipy.io.matlab.streams import scipy.linalg._decomp_update import scipy.linalg._fblas import scipy.linalg._flapack import scipy.linalg._flinalg import scipy.linalg._interpolative import scipy.linalg._solve_toeplitz import scipy.linalg.cython_blas import scipy.linalg.cython_lapack import scipy.ndimage._nd_image import scipy.ndimage._ni_label import scipy.odr.__odrpack import scipy.optimize._cobyla import scipy.optimize._group_columns import scipy.optimize._lbfgsb import scipy.optimize._lsq.givens_elimination import scipy.optimize._minpack import scipy.optimize._nnls import scipy.optimize._slsqp import scipy.optimize._zeros import scipy.optimize.minpack2 import scipy.optimize.moduleTNC import scipy.signal._max_len_seq_inner import scipy.signal._spectral import scipy.signal.sigtools import scipy.signal.spline import scipy.sparse._csparsetools import scipy.sparse._sparsetools import scipy.sparse.csgraph._min_spanning_tree import scipy.sparse.csgraph._reordering import scipy.sparse.csgraph._shortest_path import scipy.sparse.csgraph._tools import scipy.sparse.csgraph._traversal import scipy.sparse.linalg.dsolve._superlu import scipy.sparse.linalg.eigen.arpack._arpack import scipy.sparse.linalg.isolve._iterative import scipy.spatial._distance_wrap import scipy.spatial.ckdtree import scipy.spatial.qhull import scipy.special._ellip_harm_2 import scipy.special._ufuncs import scipy.special._ufuncs_cxx import scipy.special.specfun import scipy.stats.mvn import scipy.stats.statlib import scipy.stats import scipy.special sys.exit(not scipy.test(verbose=2))

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c308bef88be33aa9dbdef14c29e2c276763b3565

95

py

Python

transformer/utils/__init__.py

ViktorStagge/transformer

39a331f41cafbfbe5fdf64ffdac5897b4d2aa319

[ "MIT" ]

null

transformer/utils/__init__.py

ViktorStagge/transformer

39a331f41cafbfbe5fdf64ffdac5897b4d2aa319

[ "MIT" ]

null

transformer/utils/__init__.py

ViktorStagge/transformer

39a331f41cafbfbe5fdf64ffdac5897b4d2aa319

[ "MIT" ]

null

from transformer.utils.utils import get_tqdm, \ get_logger

31.666667

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0.515789

9

95

5.222222

0.777778

0

0.442105

95

2

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47.5

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c30dcec0382001121669c3e0c0090d186fa177a6

78

py

Python

sdnify/platforms/__init__.py

ericrochow/sdnify

f84020ea846282a60b754583a574a9109bf73834

[ "Apache-2.0" ]

1

2019-08-18T11:21:40.000Z

sdnify/platforms/__init__.py

ericrochow/sdnify

f84020ea846282a60b754583a574a9109bf73834

[ "Apache-2.0" ]

93

2019-08-18T11:21:46.000Z

2020-10-03T04:13:25.000Z

sdnify/platforms/__init__.py

ericrochow/sdnify

f84020ea846282a60b754583a574a9109bf73834

[ "Apache-2.0" ]

null

#!/usr/bin/env python """ Contains modules for platform-specific methods. """

15.6

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4

48

19.5

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1

0

null

0

1

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c31ff3f9cc9855909f0bba3cd706795681370136

593

py

Python

parser_rabota/web/models.py

AndreyeuIvan/JobScrabber

fab960dde260fd2b94e846e95b46e97d313db235

[ "MIT" ]

null

parser_rabota/web/models.py

AndreyeuIvan/JobScrabber

fab960dde260fd2b94e846e95b46e97d313db235

[ "MIT" ]

null

parser_rabota/web/models.py

AndreyeuIvan/JobScrabber

fab960dde260fd2b94e846e95b46e97d313db235

[ "MIT" ]

null

from main import db class Keyword(db.Model): id = db.Column(db.Integer, primary_key = True) name = db.Column(db.String(100)) data = db.relationship('Data', backref='data') def __repr__(self): return f"Keyword is '{self.name}'" class Data(db.Model): id = db.Column(db.Integer, primary_key = True) company = db.Column(db.String(100)) title = db.Column(db.String(50)) link = db.Column(db.String(200)) location = db.Column(db.String(100)) keyword = db.Column(db.Integer, db.ForeignKey("keyword.id")) def __repr__(self): return f"Job in '{self.company}', as a '{self.title}'"

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593

4.189474

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0.160804

0.201005

0.434673

0.201005

0

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593

22

62

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1

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null

0

1

0

4

c356da6307ea4e397b6f3f98f4044a41a9825154

138

py

Python

lambdata_jbanks/banks.py

JenBanks8585/lambdata-JenBanks

7b4d01e9a8e3ad6d1c5a39ff5aa5cf01e99849ef

[ "MIT" ]

null

lambdata_jbanks/banks.py

JenBanks8585/lambdata-JenBanks

7b4d01e9a8e3ad6d1c5a39ff5aa5cf01e99849ef

[ "MIT" ]

null

lambdata_jbanks/banks.py

JenBanks8585/lambdata-JenBanks

7b4d01e9a8e3ad6d1c5a39ff5aa5cf01e99849ef

[ "MIT" ]

null

import pandas from pandas import DataFrame from lambdata_jbanks.mod import enlarge x= int(input("enter an integer")) print(enlarge(x))

15.333333

39

0.782609

21

138

5.095238

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0.149533

0

0.130435

138

9

40

15.333333

0.891667

0

0.116788

0

1

0

false

0

0.6

0

0.6

0.2

1

0

null

0

1

0

null

0

1

0

1

0

4

6f2fd25a34eeb278f9fe3cd36b601c79f812532e

33

py

Python

pay.py

BCshell/42_02

f8fdf76a6561524e15ba21a1aae158aec5e976df

[ "MIT" ]

null

pay.py

BCshell/42_02

f8fdf76a6561524e15ba21a1aae158aec5e976df

[ "MIT" ]

null

pay.py

BCshell/42_02

f8fdf76a6561524e15ba21a1aae158aec5e976df

[ "MIT" ]

null

pay = 1 pay = 2 pay = 3 over

3.666667

7

0.484848

7

33

2.285714

0.714286

0

0.157895

0.424242

33

8

4.125

0.684211

0

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0

false

0

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0

null

0

1

0

1

0

null

0

4

6f3e9cb43d9fa685466c4f1e9da3c56f0832e136

236

py

Python

gym_trader/__init__.py

jajimer/gym-trader

5ccb7bfbd280a1260ea56adbe1c6e2fdc66ac415

[ "MIT" ]

null

gym_trader/__init__.py

jajimer/gym-trader

5ccb7bfbd280a1260ea56adbe1c6e2fdc66ac415

[ "MIT" ]

null

gym_trader/__init__.py

jajimer/gym-trader

5ccb7bfbd280a1260ea56adbe1c6e2fdc66ac415

[ "MIT" ]

null

from gym.envs.registration import register register( id='single-discrete-v0', entry_point='gym_trader.envs:SingleDiscreteEnv', ) register( id='single-continuous-v0', entry_point='gym_trader.envs:SingleContinuousEnv', )

21.454545

54

0.75

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0

0.009662

0.122881

236

10

55

23.6

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0.449153

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true

0

0.111111

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0.111111

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1

0

null

0

1

0

null

0

1

0

4

6f43e606edba65d7d506b3ed9533b89cc35ea7de

192

py

Python

snowfall/bin/modes/cli_base.py

aarora8/snowfall

4484fb52a7a2d9a067f77dbbaee8dad7946db185

[ "Apache-2.0" ]

145

2020-11-12T07:12:31.000Z

2022-03-11T14:56:15.000Z

snowfall/bin/modes/cli_base.py

aarora8/snowfall

4484fb52a7a2d9a067f77dbbaee8dad7946db185

[ "Apache-2.0" ]

212

2020-11-12T07:47:39.000Z

2022-02-02T08:11:33.000Z

snowfall/bin/modes/cli_base.py

aarora8/snowfall

4484fb52a7a2d9a067f77dbbaee8dad7946db185

[ "Apache-2.0" ]

43

2020-11-12T07:30:37.000Z

2022-03-15T08:07:19.000Z

16

65

0.614583

24

192

4.916667

0.958333

0

0.028777

0.276042

192

11

66

17.454545

0.820144

0.619792

0

1

0.25

true

0.25

0

0.5

0

1

0

null

0

null

0

1

0

4

6f4b6a528b00bc6d9cb6b9444b8656b7b230eb3d

725

py

Python

app01/migrations/0008_auto_20211102_1151.py

aitomato123/hptest

842cf5f8c9f419c1a9395f43563d19213a1d531a

[ "Apache-2.0" ]

null

app01/migrations/0008_auto_20211102_1151.py

aitomato123/hptest

842cf5f8c9f419c1a9395f43563d19213a1d531a

[ "Apache-2.0" ]

null

app01/migrations/0008_auto_20211102_1151.py

aitomato123/hptest

842cf5f8c9f419c1a9395f43563d19213a1d531a

[ "Apache-2.0" ]

null

# Generated by Django 3.2.4 on 2021-11-02 03:51 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('app01', '0007_auto_20211102_1130'), ] operations = [ migrations.RenameField( model_name='samplehandover', old_name='samplehandover_to_project_id', new_name='sh_pid', ), migrations.RenameField( model_name='samplehandover', old_name='samplehandover_to_sample_type', new_name='sh_spt', ), migrations.RenameField( model_name='samplehandover', old_name='samplehandover_to_storage', new_name='sh_sto', ), ]

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0.192593

0.222222

0.496296

0

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725

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54

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0.154867

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false

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0

null

1

0

1

0

null

0

4

6f62df2d6250a39fcbbddc94e477b42a5bb88277

12,902

py

Python

openbb_terminal/common/quantitative_analysis/rolling_view.py

23errg/GamestonkTerminal

826cd8a723d8e2b810c51bf8266c09e8e55059c4

[ "MIT" ]

null

openbb_terminal/common/quantitative_analysis/rolling_view.py

23errg/GamestonkTerminal

826cd8a723d8e2b810c51bf8266c09e8e55059c4

[ "MIT" ]

null

openbb_terminal/common/quantitative_analysis/rolling_view.py

23errg/GamestonkTerminal

826cd8a723d8e2b810c51bf8266c09e8e55059c4

[ "MIT" ]

null

"""Rolling Statistics View""" __docformat__ = "numpy" import logging import os from typing import Optional, List import matplotlib.pyplot as plt import pandas as pd from openbb_terminal.config_terminal import theme from openbb_terminal.common.quantitative_analysis import rolling_model from openbb_terminal.config_plot import PLOT_DPI from openbb_terminal.decorators import log_start_end from openbb_terminal.helper_funcs import export_data, plot_autoscale, reindex_dates from openbb_terminal.rich_config import console logger = logging.getLogger(__name__) @log_start_end(log=logger) def display_mean_std( name: str, df: pd.DataFrame, target: str, window: int, export: str = "", external_axes: Optional[List[plt.Axes]] = None, ): """View rolling spread Parameters ---------- name : str Stock ticker df : pd.DataFrame Dataframe target : str Column in data to look at window : int Length of window export : str Format to export data external_axes : Optional[List[plt.Axes]], optional External axes (2 axes are expected in the list), by default None """ data = df[target] rolling_mean, rolling_std = rolling_model.get_rolling_avg(data, window) plot_data = pd.merge( data, rolling_mean, how="outer", left_index=True, right_index=True, suffixes=("", "_mean"), ) plot_data = pd.merge( plot_data, rolling_std, how="outer", left_index=True, right_index=True, suffixes=("", "_std"), ) plot_data = reindex_dates(plot_data) # This plot has 2 axes if external_axes is None: _, axes = plt.subplots( 2, 1, sharex=True, figsize=plot_autoscale(), dpi=PLOT_DPI, ) ax1, ax2 = axes else: if len(external_axes) != 2: logger.error("Expected list of two axis items.") console.print("[red]Expected list of 2 axis items./n[/red]") return (ax1, ax2) = external_axes ax1.plot( plot_data.index, plot_data[target].values, label=name, ) ax1.plot( plot_data.index, plot_data[target + "_mean"].values, ) ax1.set_ylabel( "Values", ) ax1.legend(["Real Values", "Rolling Mean"]) ax1.set_title(f"Rolling mean and std (window {str(window)}) of {name} {target}") ax1.set_xlim([plot_data.index[0], plot_data.index[-1]]) ax2.plot( plot_data.index, plot_data[target + "_std"].values, label="Rolling std", ) ax2.legend(["Rolling std"]) ax2.set_ylabel( f"{target} Std Deviation", ) theme.style_primary_axis( ax1, data_index=plot_data.index.to_list(), tick_labels=plot_data["date"].to_list(), ) theme.style_primary_axis( ax2, data_index=plot_data.index.to_list(), tick_labels=plot_data["date"].to_list(), ) if external_axes is None: theme.visualize_output() export_data( export, os.path.dirname(os.path.abspath(__file__)).replace("common", "stocks"), "rolling", rolling_mean.join(rolling_std, lsuffix="_mean", rsuffix="_std"), ) @log_start_end(log=logger) def display_spread( name: str, df: pd.DataFrame, target: str, window: int, export: str = "", external_axes: Optional[List[plt.Axes]] = None, ): """View rolling spread Parameters ---------- name : str Stock ticker df : pd.DataFrame Dataframe target: str Column in data to look at window : int Length of window export : str Format to export data external_axes : Optional[List[plt.Axes]], optional External axes (3 axes are expected in the list), by default None """ data = df[target] df_sd, df_var = rolling_model.get_spread(data, window) plot_data = pd.merge( data, df_sd, how="outer", left_index=True, right_index=True, suffixes=("", "_sd"), ) plot_data = pd.merge( plot_data, df_var, how="outer", left_index=True, right_index=True, suffixes=("", "_var"), ) plot_data = reindex_dates(plot_data) # This plot has 1 axis if external_axes is None: _, axes = plt.subplots( 3, 1, sharex=True, figsize=plot_autoscale(), dpi=PLOT_DPI, ) (ax1, ax2, ax3) = axes else: if len(external_axes) != 3: logger.error("Expected list of one axis item.") console.print("[red]Expected list of 1 axis items./n[/red]") return (ax1, ax2, ax3) = external_axes ax1.plot(plot_data.index, plot_data[target].values) ax1.set_xlim(plot_data.index[0], plot_data.index[-1]) ax1.set_ylabel("Value") ax1.set_title(f"Spread of {name} {target}") ax2.plot( plot_data[f"STDEV_{window}"].index, plot_data[f"STDEV_{window}"].values, label="Stdev", ) ax2.set_ylabel("Stdev") ax3.plot( plot_data[f"VAR_{window}"].index, plot_data[f"VAR_{window}"].values, label="Variance", ) ax3.set_ylabel("Variance") theme.style_primary_axis( ax1, data_index=plot_data.index.to_list(), tick_labels=plot_data["date"].to_list(), ) theme.style_primary_axis( ax2, data_index=plot_data.index.to_list(), tick_labels=plot_data["date"].to_list(), ) theme.style_primary_axis( ax3, data_index=plot_data.index.to_list(), tick_labels=plot_data["date"].to_list(), ) if external_axes is None: theme.visualize_output() export_data( export, os.path.dirname(os.path.abspath(__file__)).replace("common", "stocks"), "spread", df_sd.join(df_var, lsuffix="_sd", rsuffix="_var"), ) @log_start_end(log=logger) def display_quantile( name: str, df: pd.DataFrame, target: str, window: int, quantile: float, export: str = "", external_axes: Optional[List[plt.Axes]] = None, ): """View rolling quantile Parameters ---------- name : str Stock ticker df : pd.DataFrame Dataframe target : str Column in data to look at window : int Length of window quantile : float Quantile to get export : str Format to export data external_axes : Optional[List[plt.Axes]], optional External axes (1 axis is expected in the list), by default None """ data = df[target] df_med, df_quantile = rolling_model.get_quantile(data, window, quantile) plot_data = pd.merge( data, df_med, how="outer", left_index=True, right_index=True, suffixes=("", "_med"), ) plot_data = pd.merge( plot_data, df_quantile, how="outer", left_index=True, right_index=True, suffixes=("", "_quantile"), ) plot_data = reindex_dates(plot_data) # This plot has 1 axis if external_axes is None: _, ax = plt.subplots( figsize=plot_autoscale(), dpi=PLOT_DPI, ) else: if len(external_axes) != 1: logger.error("Expected list of one axis item.") console.print("[red]Expected list of 1 axis items./n[/red]") return (ax,) = external_axes ax.set_title(f"{name} {target} Median & Quantile") ax.plot(plot_data.index, plot_data[target].values, label=target) ax.plot( plot_data.index, plot_data[f"MEDIAN_{window}"].values, label=f"Median w={window}", ) ax.plot( plot_data.index, plot_data[f"QTL_{window}_{quantile}"].values, label=f"Quantile q={quantile}", linestyle="--", ) ax.set_xlim(plot_data.index[0], plot_data.index[-1]) ax.set_ylabel(f"{name} Value") ax.legend() theme.style_primary_axis( ax, data_index=plot_data.index.to_list(), tick_labels=plot_data["date"].to_list(), ) if external_axes is None: theme.visualize_output() export_data( export, os.path.dirname(os.path.abspath(__file__)).replace("common", "stocks"), "quantile", df_med.join(df_quantile), ) @log_start_end(log=logger) def display_skew( name: str, df: pd.DataFrame, target: str, window: int, export: str = "", external_axes: Optional[List[plt.Axes]] = None, ): """View rolling skew Parameters ---------- name : str Stock ticker df : pd.DataFrame Dataframe target : str Column in data to look at window : int Length of window export : str Format to export data external_axes : Optional[List[plt.Axes]], optional External axes (2 axes are expected in the list), by default None """ data = df[target] df_skew = rolling_model.get_skew(data, window) plot_data = pd.merge( data, df_skew, how="outer", left_index=True, right_index=True, ) plot_data = reindex_dates(plot_data) # This plot has 1 axis if external_axes is None: _, axes = plt.subplots( 2, 1, sharex=True, figsize=plot_autoscale(), dpi=PLOT_DPI, ) (ax1, ax2) = axes else: if len(external_axes) != 2: logger.error("Expected list of two axis items.") console.print("[red]Expected list of 2 axis items./n[/red]") return (ax1, ax2) = external_axes ax1.set_title(f"{name} Skewness Indicator") ax1.plot(plot_data.index, plot_data[target].values) ax1.set_xlim(plot_data.index[0], plot_data.index[-1]) ax1.set_ylabel(f"{target}") ax2.plot(plot_data.index, plot_data[f"SKEW_{window}"].values, label="Skew") ax2.set_ylabel("Indicator") theme.style_primary_axis( ax1, data_index=plot_data.index.to_list(), tick_labels=plot_data["date"].to_list(), ) theme.style_primary_axis( ax2, data_index=plot_data.index.to_list(), tick_labels=plot_data["date"].to_list(), ) if external_axes is None: theme.visualize_output() console.print("") export_data( export, os.path.dirname(os.path.abspath(__file__)).replace("common", "stocks"), "skew", df_skew, ) @log_start_end(log=logger) def display_kurtosis( name: str, df: pd.DataFrame, target: str, window: int, export: str = "", external_axes: Optional[List[plt.Axes]] = None, ): """View rolling kurtosis Parameters ---------- name : str Ticker df : pd.DataFrame Dataframe of stock prices window : int Length of window export : str Format to export data external_axes : Optional[List[plt.Axes]], optional External axes (2 axes are expected in the list), by default None """ data = df[target] df_kurt = rolling_model.get_kurtosis(data, window) plot_data = pd.merge( data, df_kurt, how="outer", left_index=True, right_index=True, ) plot_data = reindex_dates(plot_data) # This plot has 1 axis if external_axes is None: _, axes = plt.subplots( 2, 1, sharex=True, figsize=plot_autoscale(), dpi=PLOT_DPI, ) (ax1, ax2) = axes else: if len(external_axes) != 2: logger.error("Expected list of two axis items.") console.print("[red]Expected list of 2 axis items./n[/red]") return (ax1, ax2) = external_axes ax1.set_title(f"{name} {target} Kurtosis Indicator (window {str(window)})") ax1.plot(plot_data.index, plot_data[target].values) ax1.set_xlim(plot_data.index[0], plot_data.index[-1]) ax1.set_ylabel(f"{target}") ax2.plot( plot_data.index, plot_data[f"KURT_{window}"].values, ) ax2.set_ylabel("Indicator") theme.style_primary_axis( ax1, data_index=plot_data.index.to_list(), tick_labels=plot_data["date"].to_list(), ) theme.style_primary_axis( ax2, data_index=plot_data.index.to_list(), tick_labels=plot_data["date"].to_list(), ) if external_axes is None: theme.visualize_output() console.print("") export_data( export, os.path.dirname(os.path.abspath(__file__)).replace("common", "stocks"), "kurtosis", df_kurt, )

25.248532

84

0.586188

1,617

12,902

4.460111

0.097093

0.085413

0.055879

0.049501

0.781614

0.757626

0.743899

0.706323

0.680948

0.627981

0

0.010318

0.293908

12,902

510

85

25.298039

0.781339

0.141683

0

0.648649

0

0.104062

0.002143

0

1

0.013514

false

0

0.02973

0

0.056757

0.018919

0

null

0

1

0

1

0

null

0

4

489a77b5a707184b360e0634e711b01b15a25abd

136

py

Python

Python/Codeforces/1A.py

flmnv/Training

6070b8ddfb6e01c0f433c813265bf50d59a26ef4

[ "Unlicense" ]

null

Python/Codeforces/1A.py

flmnv/Training

6070b8ddfb6e01c0f433c813265bf50d59a26ef4

[ "Unlicense" ]

null

Python/Codeforces/1A.py

flmnv/Training

6070b8ddfb6e01c0f433c813265bf50d59a26ef4

[ "Unlicense" ]

null

from math import ceil nma = input().split(' ') result = ceil(int(nma[0]) / int(nma[2])) * ceil(int(nma[1]) / int(nma[2])) print(result)

27.2

74

0.617647

24

136

3.5

0.541667

0.285714

0.238095

0

0.033898

0.132353

136

5

75

27.2

0.677966

0

0.007299

0

1

0

false

0

0.25

0

0.25

1

0

null

1

0

1

0

null

0

4

48ae8c6f3922d6e7ec644846f97660711d6cfca0

277

py

Python

run_examples.py

bstellato/miosqp

ac672338b0593d865dd15b7a76434f25e24244a9

[ "Apache-2.0" ]

62

2017-11-23T09:57:47.000Z

2021-05-21T06:49:40.000Z

run_examples.py

bstellato/miosqp

ac672338b0593d865dd15b7a76434f25e24244a9

[ "Apache-2.0" ]

12

2017-08-31T17:28:14.000Z

2021-04-19T15:19:17.000Z

run_examples.py

bstellato/miosqp

ac672338b0593d865dd15b7a76434f25e24244a9

[ "Apache-2.0" ]

19

2019-01-23T14:10:37.000Z

2021-04-17T17:08:28.000Z

""" Run MIQP examples """ from __future__ import print_function import examples.power_converter.run_example as power_converter import examples.random_miqp.run_example as random_miqp if __name__ == "__main__": random_miqp.run_example() power_converter.run_example()

19.785714

62

0.797834

37

277

5.351351

0.432432

0.20202

0.171717

0.242424

0

0.126354

277

13

63

21.307692

0.818182

0.061372

0

0.031746

0

1

0

true

0

0.5

0

0.5

0.166667

0

null

1

0

1

0

null

0

1

0

1

0

4

48c7bf8eab29ebaf195b176af688e2d1694ca5d3

699

py

Python

backend_server/tests/test_pybackend_urilib.py

ismir-net/open-eval

ebb4612ff5a6c6f7b6fbc908d837857f8377d95a

[ "MIT" ]

6

2016-08-09T18:34:18.000Z

2016-08-12T01:58:05.000Z

backend_server/tests/test_pybackend_urilib.py

cosmir/openmic-annotator

ebb4612ff5a6c6f7b6fbc908d837857f8377d95a

[ "MIT" ]

4

2016-08-13T14:35:00.000Z

2016-08-13T14:37:25.000Z

backend_server/tests/test_pybackend_urilib.py

ismir-net/open-eval

ebb4612ff5a6c6f7b6fbc908d837857f8377d95a

[ "MIT" ]

null

import pytest import pybackend.urilib as U def test_validate(): U.validate("x:y") with pytest.raises(ValueError): U.validate(":x") with pytest.raises(ValueError): U.validate("y:") with pytest.raises(ValueError): U.validate(":") with pytest.raises(ValueError): U.validate("x:x:y") def test_split(): assert U.split("x:y") == ("x", "y") with pytest.raises(ValueError): U.split(":x") def test_join(): assert U.join("x", "y") == "x:y" with pytest.raises(ValueError): U.join("x") with pytest.raises(ValueError): U.join("x", "y", "z") with pytest.raises(ValueError): U.join(":x", "y")

18.394737

39

0.566524

94

699

4.180851

0.191489

0.040712

0.3257

0.529262

0.707379

0.618321

0.3257

0.157761

0

0.244635

699

37

40

18.891892

0.744318

0

0.333333

0

0.04578

0

0.083333

1

0.125

true

0

0.083333

0

0.208333

0

null

0

1

0

1

0

null

0

1

0

4

48cf42970538a19959fd912b200541cab893d500

1,661

py

Python

app/models.py

Koech-code/bookings

e164ba118de32e82dac9d9c69961df1eeb4d384c

[ "MIT" ]

null

app/models.py

Koech-code/bookings

e164ba118de32e82dac9d9c69961df1eeb4d384c

[ "MIT" ]

null

app/models.py

Koech-code/bookings

e164ba118de32e82dac9d9c69961df1eeb4d384c

[ "MIT" ]

null

from datetime import datetime from sqlalchemy.orm import backref from werkzeug.security import generate_password_hash, check_password_hash from flask_login import UserMixin from . import login_manager from . import db @login_manager.user_loader def load_user(user_id): return User.query.get(user_id) class User(UserMixin, db.Model): __tablename__='users' id = db.Column(db.Integer, primary_key=True) username = db.Column(db.String(255)) email = db.Column(db.String(255)) pass_secure = db.Column(db.String(255)) @property def password(self): raise AttributeError('You cannot read the password attribute') @password.setter def password(self, password): self.pass_secure = generate_password_hash(password) def verify_password(self,password): return check_password_hash(self.pass_secure,password) def __repr__(self): return f'User {self.username}' class Session(db.Model): __tablename__='sessions' id = db.Column(db.Integer, primary_key=True) tarehe = db.Column(db.Date()) email = db.Column(db.String(255)) service=db.Column(db.String(255)) status= db.Column(db.String(255)) class Cancel(db.Model): __tablename__='del' id = db.Column(db.Integer, primary_key=True) tarehe = db.Column(db.Date()) email = db.Column(db.String(255)) service=db.Column(db.String(255)) status= db.Column(db.String(255)) class Contact(db.Model): __tablename__='feedback' id = db.Column(db.Integer, primary_key=True) name= db.Column(db.String(255)) email = db.Column(db.String(255)) message=db.Column(db.String(255))

28.152542

73

0.701987

232

1,661

4.840517

0.280172

0.128228

0.160285

0.170971

0.406055

0.372217

0.313446

0

0.026297

0.175798

1,661

58

74

28.637931

0.79401

0

0.311111

1

0

0.049427

0

1

0.111111

false

0.2

0.133333

0.066667

0.888889

0

null

0

1

0

1

0

null

0

1

0

1

0

4

48d2f1512a3d93d8436cd8f13cc0b3a207c90588

64

py

Python

lib/galaxy/tool_util/linters/__init__.py

rikeshi/galaxy

c536a877e4a9b3d12aa0d00fd4d5e705109a0d0a

[ "CC-BY-3.0" ]

1,085

2015-02-18T16:14:38.000Z

2022-03-30T23:52:07.000Z

lib/galaxy/tool_util/linters/__init__.py

rikeshi/galaxy

c536a877e4a9b3d12aa0d00fd4d5e705109a0d0a

[ "CC-BY-3.0" ]

11,253

2015-02-18T17:47:32.000Z

2022-03-31T21:47:03.000Z

lib/galaxy/tool_util/linters/__init__.py

rikeshi/galaxy

c536a877e4a9b3d12aa0d00fd4d5e705109a0d0a

[ "CC-BY-3.0" ]

1,000

2015-02-18T16:18:10.000Z

2022-03-29T08:22:56.000Z

"""This package contains linting functions for Galaxy tools."""

32

63

0.765625

8

64

6.125

1

0

0.125

64

1

64

0.875

0.890625

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

48eebc92ff0684d98295f1a379d39559fbd41024

178

py

Python

diventi/brave/apps.py

flavoi/diven

3173ca3ca3fbedc191b8eab3639a6bceb3c442c4

[ "Apache-2.0" ]

2

2019-06-27T16:00:17.000Z

2020-08-14T07:46:05.000Z

diventi/brave/apps.py

flavoi/diven

3173ca3ca3fbedc191b8eab3639a6bceb3c442c4

[ "Apache-2.0" ]

26

2020-02-15T22:39:35.000Z

2022-02-19T21:09:01.000Z

diventi/brave/apps.py

flavoi/diven

3173ca3ca3fbedc191b8eab3639a6bceb3c442c4

[ "Apache-2.0" ]

1

2021-11-12T22:30:15.000Z

from django.apps import AppConfig from django.utils.translation import gettext_lazy as _ class BraveConfig(AppConfig): name = 'diventi.brave' verbose_name = _('Brave')

22.25

54

0.758427

22

178

5.954545

0.727273

0.152672

0

0.157303

178

7

55

25.428571

0.873333

0

0.101124

0

1

0

false

0

0.4

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

5b050e90ac3f072754ac05656df3e41d25a3dbb8

676

py

Python

api/infrastructure/persistence/peewee/results_models.py

manisharmagarg/qymatix

0dc240970359429ae5105db79f9aebf1a99ba6fd

[ "Apache-2.0" ]

null

api/infrastructure/persistence/peewee/results_models.py

manisharmagarg/qymatix

0dc240970359429ae5105db79f9aebf1a99ba6fd

[ "Apache-2.0" ]

null

api/infrastructure/persistence/peewee/results_models.py

manisharmagarg/qymatix

0dc240970359429ae5105db79f9aebf1a99ba6fd

[ "Apache-2.0" ]

null

from peewee import * database = MySQLDatabase('results_qymatix_com', **{'charset': 'utf8', 'use_unicode': True, 'host': 'localhost', 'user': 'root', 'password': 'dev'}) class UnknownField(object): def __init__(self, *_, **__): pass class BaseModel(Model): class Meta: database = database class Critters(BaseModel): ccbm = TextField(null=True) margin = TextField(null=True) name = TextField(null=True) ppb = TextField(null=True) risk = TextField(null=True) row_names = TextField(null=True) sales = TextField(null=True) size = TextField(null=True) class Meta: table_name = 'critters' primary_key = False

26

147

0.655325

77

676

5.584416

0.584416

0.24186

0.316279

0

0.001862

0.205621

676

25

148

27.04

0.798883

0

0.105263

0

0.12

0

1

0.052632

false

0.105263

0.052632

0

0.789474

0

null

1

0

null

0

1

0

1

0

4

d2967bf07661e5d38488849f9f38933d29a1422f

67

py

Python

docker-gunicorn.conf.py

noampolak/ADL_LRS

86455e0cee1cfe8525143eb07d9ec86f2bda05c1

[ "Apache-2.0" ]

null

docker-gunicorn.conf.py

noampolak/ADL_LRS

86455e0cee1cfe8525143eb07d9ec86f2bda05c1

[ "Apache-2.0" ]

null

docker-gunicorn.conf.py

noampolak/ADL_LRS

86455e0cee1cfe8525143eb07d9ec86f2bda05c1

[ "Apache-2.0" ]

null

accesslog = "/var/log/lrs.log" errorlog = "/var/log/lrs-error.log"

22.333333

35

0.686567

11

67

4.181818

0.545455

0.26087

0.391304

0

0.089552

67

2

36

33.5

0.754098

0

0.567164

0.328358

0

1

0

false

0

1

0

null

1

0

1

0

null

0

4

d299f24fb0efddf88b71f453b95ee23cfaf5a6ff

704

py

Python

third_party/blink/web_tests/http/tests/websocket/workers/resources/binary-frames_wsh.py

zealoussnow/chromium

fd8a8914ca0183f0add65ae55f04e287543c7d4a

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

14,668

2015-01-01T01:57:10.000Z

2022-03-31T23:33:32.000Z

third_party/blink/web_tests/http/tests/websocket/workers/resources/binary-frames_wsh.py

zealoussnow/chromium

fd8a8914ca0183f0add65ae55f04e287543c7d4a

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

113

2015-05-04T09:58:14.000Z

2022-01-31T19:35:03.000Z

third_party/blink/web_tests/http/tests/websocket/workers/resources/binary-frames_wsh.py

zealoussnow/chromium

fd8a8914ca0183f0add65ae55f04e287543c7d4a

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

5,941

2015-01-02T11:32:21.000Z

2022-03-31T16:35:46.000Z

from six.moves import range from mod_pywebsocket import common from mod_pywebsocket import stream from mod_pywebsocket import util def web_socket_do_extra_handshake(request): pass def web_socket_transfer_data(request): messages_to_send = [b'Hello, world!', b'', all_distinct_bytes()] for message in messages_to_send: # FIXME: Should use better API to send binary messages when pywebsocket # supports it. header = stream.create_header(common.OPCODE_BINARY, len(message), 1, 0, 0, 0, 0) request.connection.write(header + message) def all_distinct_bytes(): return b''.join([util.pack_byte(i) for i in range(256)])

29.333333

79

0.691761

98

704

4.755102

0.561224

0.045064

0.11588

0.154506

0

0.014679

0.225852

704

23

80

30.608696

0.840367

0.116477

0

0.021002

0

0.043478

0

1

0.214286

false

0.071429

0.285714

0.071429

0.571429

0

null

0

null

0

1

0

1

0

1

0

1

0

4

d2baa34db83ba7f092bd6f1a54fecfa995304c91

50

py

Python

smartlearner/optimizers/__init__.py

havaeimo/smartlearner

9fa0d4e757310b185e5c0d2ff43279d21ab4cb17

[ "BSD-3-Clause" ]

null

smartlearner/optimizers/__init__.py

havaeimo/smartlearner

9fa0d4e757310b185e5c0d2ff43279d21ab4cb17

[ "BSD-3-Clause" ]

null

smartlearner/optimizers/__init__.py

havaeimo/smartlearner

9fa0d4e757310b185e5c0d2ff43279d21ab4cb17

[ "BSD-3-Clause" ]

null

from .sgd import SGD from .adagrad import AdaGrad

16.666667

28

0.8

8

50

5

0.5

0

0.16

50

2

29

25

0.952381

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

d2be9498bbeecc96596ecff52f12aba1308d2564

114

py

Python

App/RoletaRussa.py

Caiozxx/RoletaRussa

84eaef279eca96cf63aa7287f372e08d2beca278

[ "MIT" ]

null

App/RoletaRussa.py

Caiozxx/RoletaRussa

84eaef279eca96cf63aa7287f372e08d2beca278

[ "MIT" ]

null

App/RoletaRussa.py

Caiozxx/RoletaRussa

84eaef279eca96cf63aa7287f372e08d2beca278

[ "MIT" ]

null

import random import os if random.randint(0,6) == 1: os.remove("C:\Windows\System32") else: print("ufa")

14.25

36

0.649123

18

114

4.111111

0.833333

0

0.053191

0.175439

114

7

37

16.285714

0.734043

0

0.192982

0

1

0

true

0

0.333333

0

0.333333

0.166667

1

0

null

0

1

0

null

0

1

0

1

0

4

d2beb7f9d7bb512407ba66b5a808daf06dfb88c6

232

py

Python

tests/context.py

SportsDataDirect/sdd_python_api

bfd66a0398bb779abf7cfbc3c5e66ff67814f4a3

[ "MIT" ]

1

2021-01-09T04:37:39.000Z

tests/context.py

SportsDataDirect/sdd_python_api

bfd66a0398bb779abf7cfbc3c5e66ff67814f4a3

[ "MIT" ]

1

2017-12-01T20:59:06.000Z

2017-12-29T04:27:40.000Z

tests/context.py

SportsDataDirect/sdd_python_api

bfd66a0398bb779abf7cfbc3c5e66ff67814f4a3

[ "MIT" ]

1

2018-07-13T17:02:52.000Z

#created quickly without thought by using http://docs.python-guide.org/en/latest/writing/structure/ import os import sys sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))) import sdd_api import tests

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d2eaa5e3e3fb9d9edf5c12f8d9addf6a85c05a6e

93

py

Python

world/quests/apps.py

dvoraen/arxcode

a89f2004fca10e0b1f1995c2420dd3ffbf08774b

[ "MIT" ]

42

2018-08-12T00:55:24.000Z

2021-12-24T15:16:08.000Z

world/quests/apps.py

dvoraen/arxcode

a89f2004fca10e0b1f1995c2420dd3ffbf08774b

[ "MIT" ]

312

2018-10-22T23:03:27.000Z

2022-02-06T13:02:58.000Z

world/quests/apps.py

dvoraen/arxcode

a89f2004fca10e0b1f1995c2420dd3ffbf08774b

[ "MIT" ]

42

2018-08-12T00:41:48.000Z

2022-01-27T14:03:16.000Z

from django.apps import AppConfig class QuestsConfig(AppConfig): name = "world.quests"

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96002ad66e465ee28d9c76475af05cb77c779f24

202

py

Python

rcreator/repos/serializers.py

adrianmoo2/repo-simplifier

156aab7d4d2ad96ef6d53f0528f3c52bf7073859

[ "MIT" ]

null

rcreator/repos/serializers.py

adrianmoo2/repo-simplifier

156aab7d4d2ad96ef6d53f0528f3c52bf7073859

[ "MIT" ]

11

2019-12-04T23:33:01.000Z

2022-02-10T09:53:05.000Z

rcreator/repos/serializers.py

adrianmoo2/repo-simplifier

156aab7d4d2ad96ef6d53f0528f3c52bf7073859

[ "MIT" ]

null

from rest_framework import serializers from repos.models import Repo # Repo Serializer class RepoSerializer(serializers.ModelSerializer): class Meta: model = Repo fields = '__all__'

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0

1

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1

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4

8255d73e54de9220be22fbba5cf5e1372f9ce870

158

py

Python

docs/_ext/__init__.py

RichardScottOZ/geoapps

5b3c1d4fd11add45992e8b2497312ac014272b69

[ "MIT" ]

34

2020-07-14T10:26:08.000Z

2022-02-15T06:07:10.000Z

docs/_ext/__init__.py

sebhmg/geoapps

1463ba4ec3c914abdc7403e54eca0ee2bbc3f4f4

[ "MIT" ]

224

2020-09-07T19:02:33.000Z

2022-03-30T22:32:02.000Z

docs/_ext/__init__.py

sebhmg/geoapps

1463ba4ec3c914abdc7403e54eca0ee2bbc3f4f4

[ "MIT" ]

6

2021-03-24T03:16:34.000Z

2022-02-18T16:25:04.000Z

from Add2Build import copyImages from autodoc import make_lectures_page from edit_on_github import * from environmentSetup import supress_nonlocal_image_warn

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825bc84bdf7d2a07bf1517bcf14d4bd36b20e548

12

py

Python

adv_ant/retroNet/tests.py

ayushxx7/retroNet

d9a20c1c03059c0694b807d184a082310df67e9f

[ "MIT" ]

40

2020-08-02T07:38:22.000Z

2021-07-26T01:46:50.000Z

adv_ant/retroNet/tests.py

ayushxx7/retroNet

d9a20c1c03059c0694b807d184a082310df67e9f

[ "MIT" ]

134

2020-07-31T12:15:45.000Z

2020-12-13T04:42:19.000Z

adv_ant/retroNet/tests.py

ayushxx7/retroNet

d9a20c1c03059c0694b807d184a082310df67e9f

[ "MIT" ]

101

2020-07-31T12:00:47.000Z

2021-11-01T09:06:58.000Z

# No Tests.

6

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12

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null

0

1

0

null

0

1

0

4

827e831a2fe5eff641b321653a86aa4cb3b5399e

1,098

py

Python

ITMO_FS/utils/information_theory.py

18756/ITMO_FS

d0465c61b15264812b3455194e8b9eea93b3f550

[ "BSD-3-Clause" ]

null

ITMO_FS/utils/information_theory.py

18756/ITMO_FS

d0465c61b15264812b3455194e8b9eea93b3f550

[ "BSD-3-Clause" ]

null

ITMO_FS/utils/information_theory.py

18756/ITMO_FS

d0465c61b15264812b3455194e8b9eea93b3f550

[ "BSD-3-Clause" ]

null

from collections import Counter from itertools import groupby from math import log, fsum from operator import itemgetter import numpy as np def conditional_entropy(x_j, y): # H(Y|X) buf = [[e[1] for e in g] for _, g in groupby(sorted(zip(x_j, y)), itemgetter(0))] return fsum(entropy(group) * len(group) for group in buf) / len(x_j) def matrix_mutual_information(x, y): return np.apply_along_axis(mutual_information, 0, x, y) def mutual_information(x, y): return entropy(y) - conditional_entropy(x, y) def conditional_mutual_information(x, y, z): return entropy(list(zip(x, z))) + entropy(list(zip(y, z))) - entropy(list(zip(x, y, z))) - entropy(z) def joint_mutual_information(x, y, z): return mutual_information(x, z) + conditional_mutual_information(y, z, x) def interaction_information(x, y, z): return mutual_information(x, z) + mutual_information(y, z) - joint_mutual_information(x, y, z) def elog(x): return x * log(x) if 0. < x < 1. else 0. def entropy(x): return log(len(x)) - fsum(v * log(v) for v in Counter(x).values()) / len(x)

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1,098

40

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null

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0

null

0

1

0

1

0

4

828a62a02681af09aa630fc659bca96b93fc69f5

110

py

Python

billy2pupa/dc.py

backwardn/billy

07ac788d25a6c79d03dd0e3d55459bbb55e22439

[ "BSD-3-Clause" ]

33

2016-11-05T07:25:48.000Z

2022-01-31T03:40:43.000Z

billy2pupa/dc.py

backwardn/billy

07ac788d25a6c79d03dd0e3d55459bbb55e22439

[ "BSD-3-Clause" ]

16

2015-02-05T21:25:58.000Z

2015-09-18T20:27:06.000Z

billy2pupa/dc.py

backwardn/billy

07ac788d25a6c79d03dd0e3d55459bbb55e22439

[ "BSD-3-Clause" ]

22

2015-03-23T07:13:20.000Z

2016-06-10T04:41:06.000Z

from openstatesapi.jurisdiction import make_jurisdiction J = make_jurisdiction('dc') J.url = 'http://dc.gov'

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110

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0

1

0

null

0

1

0

4

82adfacb42f3a8131656a0f3295822084334dd3a

2,550

py

Python

tests/test_transform_upscale.py

mrstephenneal/pdfwatermarker

55934803efd91b6b456985be7df93c03d24747c7

[ "Apache-2.0" ]

9

2018-08-28T14:08:19.000Z

2019-08-22T07:33:14.000Z

tests/test_transform_upscale.py

mrstephenneal/pdfwatermarker

55934803efd91b6b456985be7df93c03d24747c7

[ "Apache-2.0" ]

15

2018-08-28T14:08:17.000Z

2019-07-08T01:29:34.000Z

tests/test_transform_upscale.py

mrstephenneal/pdfwatermarker

55934803efd91b6b456985be7df93c03d24747c7

[ "Apache-2.0" ]

1

2020-08-10T00:14:43.000Z

import os import unittest from tempfile import TemporaryDirectory from looptools import Timer from pdfconduit import Info, Upscale from tests import * class TestUpscale(unittest.TestCase): @classmethod def setUpClass(cls): cls.pdf_path = pdf_path cls.temp = TemporaryDirectory() @classmethod def tearDownClass(cls): cls.temp.cleanup() @Timer.decorator def test_upscale_pdfrw_20x(self): """Resize a PDF file to 2.0x times the original scale.""" s = 2.0 upscaled = Upscale(pdf_path, scale=s, suffix='upscaled_2.0_pdfrw', tempdir=self.temp.name, method='pdfrw').file # Assert upscaled file exists self.assertTrue(os.path.isfile(upscaled)) # Assert upscaled pdf file is the correct size self.assertEqual(Info(upscaled).size, tuple([i * s for i in Info(pdf_path).size])) return upscaled @Timer.decorator def test_upscale_pdfrw_15x(self): """Resize a PDF file to 1.5x times the original scale.""" s = 1.5 upscaled = Upscale(pdf_path, scale=s, suffix='upscaled_1.5_pdfrw', tempdir=self.temp.name, method='pdfrw').file # Assert upscaled file exists self.assertTrue(os.path.isfile(upscaled)) # Assert upscaled pdf file is the correct size self.assertEqual(Info(upscaled).size, tuple([i * s for i in Info(pdf_path).size])) return upscaled @Timer.decorator def test_upscale_pdfrw_30x(self): """Resize a PDF file to 3.0x times the original scale.""" s = 3.0 upscaled = Upscale(pdf_path, scale=s, suffix='upscaled_3.0_pdfrw', tempdir=self.temp.name, method='pdfrw').file # Assert upscaled file exists self.assertTrue(os.path.isfile(upscaled)) # Assert upscaled pdf file is the correct size self.assertEqual(Info(upscaled).size, tuple([i * s for i in Info(pdf_path).size])) return upscaled @Timer.decorator def test_downscale_pdfrw_20x(self): """Resize a PDF file to 3.0x times the original scale.""" s = 1 / 2 upscaled = Upscale(pdf_path, scale=s, suffix='downscaled_2.0_pdfrw', tempdir=self.temp.name, method='pdfrw').file # Assert upscaled file exists self.assertTrue(os.path.isfile(upscaled)) # Assert upscaled pdf file is the correct size self.assertEqual(Info(upscaled).size, tuple([i * s for i in Info(pdf_path).size])) return upscaled if __name__ == '__main__': unittest.main()

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82c5fb16da64f47c09383cdc448df902c7b8bd2d

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py

Python

gargantua/__init__.py

Laisky/laisky-blog

ebe7dadf8fce283ebab0539926ad1be1246e5156

[ "Apache-2.0" ]

18

2015-05-08T02:06:39.000Z

2022-03-05T21:36:48.000Z

gargantua/__init__.py

Laisky/laisky-blog

ebe7dadf8fce283ebab0539926ad1be1246e5156

[ "Apache-2.0" ]

131

2015-01-22T14:54:59.000Z

2022-02-16T15:14:10.000Z

gargantua/__init__.py

Laisky/laisky-blog

ebe7dadf8fce283ebab0539926ad1be1246e5156

[ "Apache-2.0" ]

3

2016-01-11T13:52:41.000Z

2019-06-12T08:54:15.000Z

__version__ = '2.9.5'

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null

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82c69683b7388110326bcc9239029c279a42b5da

96

py

Python

src/minterpy/schemes/barycentric/__init__.py

karanprime/minterpy

75d8976b2ddcf79ebaa29b4cb80691ca02a6d180

[ "MIT" ]

13

2021-11-30T17:52:45.000Z

2021-12-09T10:05:20.000Z

src/minterpy/schemes/barycentric/__init__.py

karanprime/minterpy

75d8976b2ddcf79ebaa29b4cb80691ca02a6d180

[ "MIT" ]

2

2021-11-30T18:31:22.000Z

2022-02-10T10:13:37.000Z

src/minterpy/schemes/barycentric/__init__.py

karanprime/minterpy

75d8976b2ddcf79ebaa29b4cb80691ca02a6d180

[ "MIT" ]

6

2021-11-30T18:17:26.000Z

2022-02-18T17:38:27.000Z

""" This 'barycentic' submodule is part of `minterpy` and the submodule `minterpy.schemes`. """

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null

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7d62e7d277335211a28b1b195998e9c544eeff4d

183

py

Python

exhibit/project/views.py

ddonco/django_blog

de353bafaf1d8044f2160070f92970bad3137215

[ "MIT" ]

null

exhibit/project/views.py

ddonco/django_blog

de353bafaf1d8044f2160070f92970bad3137215

[ "MIT" ]

null

exhibit/project/views.py

ddonco/django_blog

de353bafaf1d8044f2160070f92970bad3137215

[ "MIT" ]

null

from django.shortcuts import render from django.views import generic # Create your views here. class ProjectListView(generic.TemplateView): template_name = 'project/index.html'

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null

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1

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1

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4

7d638bc3999f69d2ecda00680c2ce1ac51704889

266

py

Python

trunk/swen610/toolshare/admin.py

leon486/toolshare

13f6ab1afb96a5f8294c121ff6916a1fcab5c2bc

[ "MIT" ]

null

trunk/swen610/toolshare/admin.py

leon486/toolshare

13f6ab1afb96a5f8294c121ff6916a1fcab5c2bc

[ "MIT" ]

null

trunk/swen610/toolshare/admin.py

leon486/toolshare

13f6ab1afb96a5f8294c121ff6916a1fcab5c2bc

[ "MIT" ]

null

from django.contrib import admin # Register your models here. from toolshare.models import * # Register your models here. admin.site.register(User) admin.site.register(Tool) admin.site.register(Shed) admin.site.register(ShareZone) admin.site.register(Reservation)

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null

1

0

null

0

1

0

4

7d640f2d850013bacf5016744c7adbf620dcaf19

89

py

Python

docs/conftest.py

concreted/prefect

dd732f5990ee2b0f3d816adb285168fd63b239e4

[ "Apache-2.0" ]

8,633

2019-03-23T17:51:03.000Z

2022-03-31T22:17:42.000Z

docs/conftest.py

concreted/prefect

dd732f5990ee2b0f3d816adb285168fd63b239e4

[ "Apache-2.0" ]

3,903

2019-03-23T19:11:21.000Z

2022-03-31T23:21:23.000Z

docs/conftest.py

ngriffiths13/prefect

7f5613abcb182494b7dc12159277c3bc5f3c9898

[ "Apache-2.0" ]

937

2019-03-23T18:49:44.000Z

2022-03-31T21:45:13.000Z

import sys if sys.version_info < (3, 6): collect_ignore = ["test_generate_docs.py"]

17.8

46

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4.142857

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0

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1

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null

0

1

0

4

7d849a1472c4febe43e684666ea18763528e0260

29

py

Python

SpoTwillio/lib/python3.6/keyword.py

Natfan/funlittlethings

80d5378b45b5c0ead725942ee50403bd057514a6

[ "MIT" ]

99

2019-10-09T16:14:46.000Z

2022-03-17T02:23:47.000Z

SpoTwillio/lib/python3.6/keyword.py

Natfan/funlittlethings

80d5378b45b5c0ead725942ee50403bd057514a6

[ "MIT" ]

43

2021-02-18T22:37:01.000Z

2021-05-05T19:37:51.000Z

SpoTwillio/lib/python3.6/keyword.py

Natfan/funlittlethings

80d5378b45b5c0ead725942ee50403bd057514a6

[ "MIT" ]

98

2019-10-17T14:48:28.000Z

2022-01-21T03:33:38.000Z

/usr/lib/python3.6/keyword.py

29

0.793103

6

29

3.833333

1

0

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0

29

1

29

0.724138

0

null

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0

null

0

1

0

null

0

1

0

4

7d86f11f77ab56049cb409cf748e384e6e0cf6fc

2,589

py

Python

Protheus_WebApp/Modules/SIGAGFE/GFEA013TESTCASE.py

98llm/tir-script-samples

0bff8393b79356aa562e9e6512c11ee6e039b177

[ "MIT" ]

17

2018-09-24T17:27:08.000Z

2021-09-16T19:09:46.000Z

Protheus_WebApp/Modules/SIGAGFE/GFEA013TESTCASE.py

98llm/tir-script-samples

0bff8393b79356aa562e9e6512c11ee6e039b177

[ "MIT" ]

4

2018-09-24T17:30:32.000Z

2022-01-03T11:39:30.000Z

Protheus_WebApp/Modules/SIGAGFE/GFEA013TESTCASE.py

98llm/tir-script-samples

0bff8393b79356aa562e9e6512c11ee6e039b177

[ "MIT" ]

18

2019-06-07T17:41:34.000Z

2022-01-31T18:17:31.000Z

from tir import Webapp import unittest class GFEA013(unittest.TestCase): @classmethod def setUpClass(inst): inst.oHelper = Webapp() inst.oHelper.Setup('SIGAGFE','03/11/2020','T1','D MG 01 ','78') inst.oHelper.Program('GFEA013') def test_GFEA013_CT001(self): self.oHelper.SetButton('Incluir') self.oHelper.SetValue('Unid Feder ', 'AC') self.oHelper.SetValue('Trib Est Ctb', '2') self.oHelper.SetValue('Trib Est NC ', '2') self.oHelper.SetValue('Trib Int Ctb', '2') self.oHelper.SetValue('Trib Int NC ', '2') self.oHelper.SetValue('Aliq Est Ctb', '4', check_value = False) self.oHelper.SetValue('Aliq Est NC ', '4', check_value = False) self.oHelper.SetValue('Aliq Int Ctb', '4', check_value = False) self.oHelper.SetValue('Aliq Int NC ', '4', check_value = False) self.oHelper.SetValue('% Cred ICMS ', '10', check_value = False) self.oHelper.SetButton('Confirmar') self.oHelper.SetButton('Fechar') self.oHelper.SearchBrowse(' AC') self.oHelper.SetButton('Alterar') self.oHelper.SetValue('Trib Est Ctb', '1') self.oHelper.SetValue('Trib Est NC ', '1') self.oHelper.SetValue('Trib Int Ctb', '1') self.oHelper.SetValue('Trib Int NC ', '1') self.oHelper.SetButton('Confirmar') self.oHelper.SetButton('Fechar') self.oHelper.SearchBrowse(' AC') self.oHelper.SetButton('Visualizar') self.oHelper.SetButton('Fechar') self.oHelper.SearchBrowse(' AC') self.oHelper.SetButton('Outras Ações','Copiar') self.oHelper.SetValue('Unid Feder ', 'GO') self.oHelper.SetValue('Trib Est Ctb', '1') self.oHelper.SetValue('Trib Est NC ', '1') self.oHelper.SetValue('Trib Int Ctb', '1') self.oHelper.SetValue('Trib Int NC ', '1') self.oHelper.SetValue('Aliq Est Ctb', '10', check_value = False) self.oHelper.SetValue('Aliq Est NC ', '10', check_value = False) self.oHelper.SetValue('Aliq Int Ctb', '10', check_value = False) self.oHelper.SetValue('Aliq Int NC ', '10', check_value = False) self.oHelper.SetValue('% Cred ICMS ', '10', check_value = False) self.oHelper.SetButton('Confirmar') self.oHelper.SetButton('Fechar') self.oHelper.SearchBrowse(' AC') self.oHelper.SetButton('Outras Ações','Excluir') self.oHelper.SetButton('Confirmar') self.oHelper.SetButton('Fechar') self.oHelper.SearchBrowse(' GO') self.oHelper.SetButton('Outras Ações','Excluir') self.oHelper.SetButton('Confirmar') self.oHelper.SetButton('Fechar') self.oHelper.AssertTrue() @classmethod def tearDownClass(inst): inst.oHelper.TearDown() if __name__ == '__main__': unittest.main()

35.465753

66

0.692159

341

2,589

5.196481

0.187683

0.291761

0.257336

0.155756

0.812641

0.780474

0.691309

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0.534424

0

0.023746

0.137891

2,589

72

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false

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0.098361

0

null

1

0

1

0

null

0

4

7d98666d50ca3cff6bb5890ba06ac1757c6e41d4

179

py

Python

launcher.py

cjuliani/opencv-edge-detection-multisource-control

e265a49f81d27cbb7e3289750b5336b9b117507a

[ "MIT" ]

null

launcher.py

cjuliani/opencv-edge-detection-multisource-control

e265a49f81d27cbb7e3289750b5336b9b117507a

[ "MIT" ]

null

launcher.py

cjuliani/opencv-edge-detection-multisource-control

e265a49f81d27cbb7e3289750b5336b9b117507a

[ "MIT" ]

null

import os os.chdir("C:/Users/cyrilj/Desktop/github-multi-edge-detector") import edge_detector model = edge_detector.detector() # Initiate the main function model.detect()

22.375

63

0.759777

25

179

5.36

0.68

0.268657

0

0.122905

179

8

64

22.375

0.853503

0.145251

0

0.344828

0

1

0

false

0

0.4

0

0.4

0

1

0

null

1

0

1

0

null

0

1

0

4

7dbea45feb7e04ff545e611a8dbec709a6a496a1

1,041

py

Python

src/Classes/MSDS400/Module 2/simplex_matrix.py

bmoretz/Python-Playground

a367ec7659b85c24363c21b5c0ac25db08ffa1f6

[ "MIT" ]

null

src/Classes/MSDS400/Module 2/simplex_matrix.py

bmoretz/Python-Playground

a367ec7659b85c24363c21b5c0ac25db08ffa1f6

[ "MIT" ]

null

src/Classes/MSDS400/Module 2/simplex_matrix.py

bmoretz/Python-Playground

a367ec7659b85c24363c21b5c0ac25db08ffa1f6

[ "MIT" ]

null

from sympy import Matrix, pprint M = Matrix( [ [ 1, 0, 1, 0, 0, 0, 0, 0, 3 ], [ 0, 1, 0, 1, 0, 0, 0, 0, 4 ], [ 2, 1, 0, 0, 1, 0, 0, 0, 7 ], [ 1, 1, 0, 0, 0, 1, 0, 0, 5 ], [ -1, 0, 0, 0, 0, 0, 1, 0, 0 ], [ 0, -1, 0, 0, 0, 0, 0, 1, 0 ], [-3000, -2000, 0, 0, 0, 0, 0, 0, 0 ] ] ) pprint( M ) # Pivot 1 [ M[i,8]/M[i,0] for i in range(0,4) ] M.row_op( 2, lambda v,j: v-2*M[ 0, j ] ) M.row_op( 3, lambda v,j: v-1*M[ 0, j ] ) M.row_op( 4, lambda v,j: v+1*M[ 0, j ] ) M.row_op( 6, lambda v,j: v+3000*M[ 0, j ] ) pprint( M ) # Pivot 2 [ M[i,8]/M[i,1] for i in range(0,4) ] M.row_op( 1, lambda v,j: v-1*M[2,j] ) M.row_op( 3, lambda v,j: v-1*M[2,j] ) M.row_op( 5, lambda v,j: v+1*M[2,j] ) M.row_op( 6, lambda v,j: v+2000*M[2,j ] ) pprint( M ) # Pivot 3 [ M[i,8]/M[i,2] for i in range(0,4) ] M.row_op(0, lambda v,j: v-1*M[3,j] ) M.row_op(1, lambda v,j: v-2*M[3,j] ) M.row_op(2, lambda v,j: v+2*M[3,j] ) M.row_op(4, lambda v,j: v-M[3,j] ) M.row_op(5, lambda v,j: v+2*M[3,j] ) M.row_op(6, lambda v,j: v+1000*M[3,j] ) pprint( M )

23.133333

43

0.487992

287

1,041

1.721254

0.097561

0.117409

0.115385

0.255061

0.755061

0.724696

0.665992

0.617409

0.568826

0.364372

0

0.168766

0.237272

1,041

45

44

23.133333

0.453401

0.022094

0

0.133333

0

1

0

false

0

0.033333

0

0.033333

0.166667

0

1

null

0

1

0

1

0

1

0

null

0

4

7dd429f8eaf1f9c45a881cdffdd6620e546c6d5c

118

py

Python

tronpy/providers/__init__.py

drodel/tronpy

9e869fb508c3f77b432948cc56cd66985375843d

[ "MIT" ]

87

2020-08-24T08:46:37.000Z

2022-03-28T02:50:56.000Z

tronpy/providers/__init__.py

drodel/tronpy

9e869fb508c3f77b432948cc56cd66985375843d

[ "MIT" ]

40

2020-07-17T11:15:46.000Z

2022-03-30T01:02:16.000Z

tronpy/providers/__init__.py

drodel/tronpy

9e869fb508c3f77b432948cc56cd66985375843d

[ "MIT" ]

50

2020-08-04T15:10:37.000Z

2022-03-29T02:03:38.000Z

from .http import HTTPProvider from .async_http import AsyncHTTPProvider __all__ = [HTTPProvider, AsyncHTTPProvider]

23.6

43

0.838983

12

118

7.833333

0.583333

0.212766

0

0.110169

118

4

44

29.5

0.895238

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

4

7ddd17c23d558b02e2531fc010ac8f46f5fc86c7

290

py

Python

test/node.py

TysonHeart/dynomite

6870eca86a1b1703e1b56edece57c9e564f071ab

[ "Apache-2.0" ]

3,380

2015-01-01T15:58:41.000Z

2022-03-31T10:29:23.000Z

test/node.py

TysonHeart/dynomite

6870eca86a1b1703e1b56edece57c9e564f071ab

[ "Apache-2.0" ]

468

2015-01-02T12:37:05.000Z

2022-03-11T19:20:15.000Z

test/node.py

TysonHeart/dynomite

6870eca86a1b1703e1b56edece57c9e564f071ab

[ "Apache-2.0" ]

542

2015-01-04T09:54:21.000Z

2022-03-03T04:53:38.000Z

#!/usr/bin/env python3 class Node(object): def __init__(self, ip, port): self.ip = ip self.port=port self.name="Node: %s:%d" % (ip, port) def __name__(self): return self.name def start(self): return def stop(self): return

17.058824

44

0.537931

39

290

3.794872

0.461538

0.202703

0

0.005128

0.327586

290

16

45

18.125

0.753846

0.072414

0

0.181818

0

0.041045

0

1

0.363636

false

0

0.272727

0.727273

0

null

1

0

null

0

1

0

1

0

4

7df00ef943a4cd904dc0b9d3b7bba30aa3437c93

15,659

py

Python

test/unit/test_storage.py

jasonstrimpel/py2neo

051125cab0adfb769415898ecfadad02eb6a7965

[ "Apache-2.0" ]

1

2018-11-14T17:10:15.000Z

test/unit/test_storage.py

jasonstrimpel/py2neo

051125cab0adfb769415898ecfadad02eb6a7965

[ "Apache-2.0" ]

null

test/unit/test_storage.py

jasonstrimpel/py2neo

051125cab0adfb769415898ecfadad02eb6a7965

[ "Apache-2.0" ]

1

2020-10-07T05:48:13.000Z

#!/usr/bin/env python # -*- encoding: utf-8 -*- # Copyright 2011-2018, Nigel Small # # 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. from unittest import TestCase from py2neo.storage import FrozenGraphStore, MutableGraphStore class GraphStoreTestCase(TestCase): store = MutableGraphStore() a, b, c, d = store.add_nodes(( (["X"], {"name": "Alice"}), (["X", "Y"], {"name": "Bob"}), (["X", "Y"], {"name": "Carol"}), (["Y"], {"name": "Dave"}), )) (a_likes_b, b_likes_a, a_knows_b, a_knows_c, c_knows_b, c_married_to_d) = store.add_relationships(( ("LIKES", (a, b), {}), ("LIKES", (b, a), {}), ("KNOWS", (a, b), {"since": 1999}), ("KNOWS", (a, c), {"since": 2000}), ("KNOWS", (c, b), {"since": 2001}), ("MARRIED_TO", (c, d), {}), ) ) def test_should_reflect_self_in_store_magic_method(self): store = FrozenGraphStore(self.store) self.assertIs(store.__graph_store__(), store) def test_should_get_counts(self): store = FrozenGraphStore(self.store) self.assertEqual(store.node_count(), 4) self.assertEqual(store.node_count("X"), 3) self.assertEqual(store.relationship_count(), 6) self.assertEqual(store.relationship_count("KNOWS"), 3) self.assertEqual(store.node_labels(), {"X", "Y"}) self.assertEqual(store.relationship_types(), {"LIKES", "KNOWS", "MARRIED_TO"}) def test_should_get_node_degree(self): store = FrozenGraphStore(self.store) self.assertEqual(store.relationship_count(n_ids={self.a}), 4) self.assertEqual(store.relationship_count(r_type="LIKES", n_ids={self.a}), 2) self.assertEqual(store.relationship_count(n_ids={self.b}), 4) self.assertEqual(store.relationship_count(n_ids={self.c}), 3) self.assertEqual(store.relationship_count(n_ids={self.d}), 1) def test_should_get_nodes(self): store = FrozenGraphStore(self.store) self.assertEqual(set(store.nodes()), {self.a, self.b, self.c, self.d}) def test_should_get_nodes_with_a_label(self): store = FrozenGraphStore(self.store) self.assertEqual(set(store.nodes("X")), {self.a, self.b, self.c}) self.assertEqual(set(store.nodes("Y")), {self.b, self.c, self.d}) self.assertFalse(set(store.nodes("Z"))) def test_should_get_nodes_with_multiple_labels(self): store = FrozenGraphStore(self.store) self.assertEqual(set(store.nodes("X", "Y")), {self.b, self.c}) self.assertFalse(set(store.nodes("X", "Z"))) def test_should_get_node_labels(self): store = FrozenGraphStore(self.store) self.assertEqual(store.node_labels(), {"X", "Y"}) self.assertEqual(store.node_labels(self.a), {"X"}) self.assertEqual(store.node_labels(self.b), {"X", "Y"}) self.assertEqual(store.node_labels(self.c), {"X", "Y"}) self.assertEqual(store.node_labels(self.d), {"Y"}) self.assertIs(store.node_labels(object()), None) def test_should_get_node_properties(self): store = FrozenGraphStore(self.store) self.assertEqual(store.node_properties(self.a), {"name": "Alice"}) self.assertEqual(store.node_properties(self.b), {"name": "Bob"}) self.assertEqual(store.node_properties(self.c), {"name": "Carol"}) self.assertEqual(store.node_properties(self.d), {"name": "Dave"}) self.assertIs(store.node_properties(object()), None) def test_should_get_relationships(self): store = FrozenGraphStore(self.store) self.assertEqual(set(store.relationships()), {self.a_likes_b, self.b_likes_a, self.a_knows_b, self.a_knows_c, self.c_knows_b, self.c_married_to_d}) self.assertEqual(set(store.relationships("KNOWS")), {self.a_knows_b, self.a_knows_c, self.c_knows_b}) self.assertEqual(set(store.relationships("MARRIED_TO")), {self.c_married_to_d}) self.assertEqual(set(store.relationships(n_ids=(self.a, None))), {self.a_likes_b, self.a_knows_b, self.a_knows_c}) self.assertEqual(set(store.relationships("KNOWS", (self.a, None))), {self.a_knows_b, self.a_knows_c}) self.assertEqual(set(store.relationships(n_ids=(None, self.b))), {self.a_likes_b, self.a_knows_b, self.c_knows_b}) self.assertEqual(set(store.relationships("KNOWS", n_ids=(None, self.b))), {self.a_knows_b, self.c_knows_b}) self.assertEqual(set(store.relationships(n_ids=(self.a, self.b))), {self.a_likes_b, self.a_knows_b}) self.assertEqual(set(store.relationships("KNOWS", (self.a, self.b))), {self.a_knows_b}) self.assertEqual(set(store.relationships(n_ids={self.a})), {self.a_likes_b, self.b_likes_a, self.a_knows_b, self.a_knows_c}) self.assertEqual(set(store.relationships("KNOWS", {self.a})), {self.a_knows_b, self.a_knows_c}) self.assertEqual(set(store.relationships(n_ids={self.a, self.b})), {self.a_likes_b, self.b_likes_a, self.a_knows_b}) self.assertEqual(set(store.relationships("KNOWS", n_ids={self.a, self.b})), {self.a_knows_b}) def test_should_fail_on_bad_node_sequence(self): store = FrozenGraphStore(self.store) self.assertEqual(list(store.relationships(n_ids=(self.a, self.b, self.c))), []) def test_should_fail_on_bad_node_set(self): store = FrozenGraphStore(self.store) _ = store.relationships(n_ids={self.a, self.b, self.c}) def test_should_fail_on_bad_node_type(self): store = FrozenGraphStore(self.store) with self.assertRaises(TypeError): _ = store.relationships(n_ids=1) def test_should_get_relationship_nodes(self): store = FrozenGraphStore(self.store) self.assertEqual(store.relationship_nodes(self.a_likes_b), (self.a, self.b)) self.assertEqual(store.relationship_nodes(self.b_likes_a), (self.b, self.a)) self.assertEqual(store.relationship_nodes(self.a_knows_b), (self.a, self.b)) self.assertEqual(store.relationship_nodes(self.a_knows_c), (self.a, self.c)) self.assertEqual(store.relationship_nodes(self.c_knows_b), (self.c, self.b)) self.assertEqual(store.relationship_nodes(self.c_married_to_d), (self.c, self.d)) self.assertIs(store.relationship_nodes(object()), None) def test_should_get_relationship_properties(self): store = FrozenGraphStore(self.store) self.assertEqual(store.relationship_properties(self.a_knows_b), {"since": 1999}) self.assertEqual(store.relationship_properties(self.a_knows_c), {"since": 2000}) self.assertEqual(store.relationship_properties(self.c_knows_b), {"since": 2001}) self.assertIs(store.relationship_properties(object()), None) def test_should_get_relationship_type(self): store = FrozenGraphStore(self.store) self.assertEqual(store.relationship_type(self.a_likes_b), "LIKES") self.assertEqual(store.relationship_type(self.b_likes_a), "LIKES") self.assertEqual(store.relationship_type(self.a_knows_b), "KNOWS") self.assertEqual(store.relationship_type(self.a_knows_c), "KNOWS") self.assertEqual(store.relationship_type(self.c_knows_b), "KNOWS") self.assertEqual(store.relationship_type(self.c_married_to_d), "MARRIED_TO") self.assertIs(store.relationship_type(object()), None) class FrozenGraphStoreTestCase(TestCase): store = MutableGraphStore() a, b, c, d = store.add_nodes(( (["X"], {"name": "Alice"}), (["X", "Y"], {"name": "Bob"}), (["X", "Y"], {"name": "Carol"}), (["Y"], {"name": "Dave"}), )) store.add_relationships(( ("KNOWS", (a, b), {}), ("KNOWS", (a, c), {}), ("KNOWS", (b, c), {}), ("KNOWS", (c, d), {}), )) store = FrozenGraphStore(store) def test_should_create_empty_on_none(self): store = FrozenGraphStore() self.assertEqual(store.node_count(), 0) self.assertEqual(store.relationship_count(), 0) self.assertFalse(store.node_labels()) self.assertFalse(store.relationship_types()) def test_should_not_create_from_non_store(self): with self.assertRaises(TypeError): _ = FrozenGraphStore(object()) def test_should_create_copy_of_frozen_store(self): store = FrozenGraphStore(FrozenGraphStore(self.store)) self.assertEqual(store.node_count(), 4) self.assertEqual(store.relationship_count(), 4) self.assertEqual(store.node_labels(), {"X", "Y"}) self.assertEqual(store.relationship_types(), {"KNOWS"}) def test_should_create_copy_of_mutable_store(self): store = FrozenGraphStore(self.store) self.assertEqual(store.node_count(), 4) self.assertEqual(store.relationship_count(), 4) self.assertEqual(store.node_labels(), {"X", "Y"}) self.assertEqual(store.relationship_types(), {"KNOWS"}) def test_should_allow_construction_arguments(self): store = FrozenGraphStore.build({ "a": (["Person"], {"name": "Alice", "age": 33}), "b": (["Person"], {"name": "Bob", "age": 44}), }, { "ab": ("KNOWS", ("a", "b"), {"since": 1999}), }) self.assertIsInstance(store, FrozenGraphStore) self.assertEqual(store.node_count(), 2) self.assertEqual(store.relationship_count(), 1) self.assertEqual(store.node_labels(), {"Person"}) self.assertEqual(store.relationship_types(), {"KNOWS"}) self.assertEqual(set(store.nodes("Person")), {"a", "b"}) self.assertEqual(store.node_labels("a"), {"Person"}) self.assertEqual(store.node_labels("b"), {"Person"}) self.assertEqual(store.node_properties("a"), {"name": "Alice", "age": 33}) self.assertEqual(store.node_properties("b"), {"name": "Bob", "age": 44}) self.assertEqual(set(store.relationships("KNOWS")), {"ab"}) self.assertEqual(store.relationship_type("ab"), "KNOWS") self.assertEqual(store.relationship_properties("ab"), {"since": 1999}) class MutableGraphStoreTestCase(TestCase): store = MutableGraphStore() a, b, c, d = store.add_nodes(( (["X"], {"name": "Alice"}), (["X", "Y"], {"name": "Bob"}), (["X", "Y"], {"name": "Carol"}), (["Y"], {"name": "Dave"}), )) store.add_relationships(( ("KNOWS", (a, b), {}), ("KNOWS", (a, c), {}), ("KNOWS", (b, c), {}), ("KNOWS", (c, d), {}), )) def test_should_create_empty_on_none(self): store = MutableGraphStore() self.assertEqual(store.node_count(), 0) self.assertEqual(store.relationship_count(), 0) self.assertFalse(store.node_labels()) self.assertFalse(store.relationship_types()) def test_should_create_copy_of_frozen_store(self): store = MutableGraphStore(FrozenGraphStore(self.store)) self.assertEqual(store.node_count(), 4) self.assertEqual(store.relationship_count(), 4) self.assertEqual(store.node_labels(), {"X", "Y"}) self.assertEqual(store.relationship_types(), {"KNOWS"}) def test_should_create_copy_of_mutable_store(self): store = MutableGraphStore(self.store) self.assertEqual(store.node_count(), 4) self.assertEqual(store.relationship_count(), 4) self.assertEqual(store.node_labels(), {"X", "Y"}) self.assertEqual(store.relationship_types(), {"KNOWS"}) def test_can_add_new_label(self): store = MutableGraphStore(self.store) labels = store.node_labels(self.a) self.assertEqual(labels, {"X"}) labels.add("Z") self.assertEqual(store.node_labels(self.a), {"X", "Z"}) assert "Z" in set(store.node_labels()) def test_can_add_existing_label(self): store = MutableGraphStore(self.store) labels = store.node_labels(self.a) self.assertEqual(labels, {"X"}) labels.add("X") self.assertEqual(store.node_labels(self.a), {"X"}) def test_can_remove_label(self): store = MutableGraphStore(self.store) labels = store.node_labels(self.a) self.assertEqual(labels, {"X"}) labels.remove("X") self.assertFalse(store.node_labels(self.a)) def test_can_discard_label(self): store = MutableGraphStore(self.store) labels = store.node_labels(self.a) self.assertEqual(labels, {"X"}) labels.discard("Z") self.assertEqual(store.node_labels(self.a), {"X"}) def test_can_clear_labels(self): store = MutableGraphStore(self.store) labels = store.node_labels(self.b) self.assertEqual(labels, {"X", "Y"}) labels.clear() self.assertFalse(store.node_labels(self.b)) def test_can_add_properties(self): store = MutableGraphStore(self.store) properties = store.node_properties(self.a) self.assertEqual(properties, {"name": "Alice"}) properties["age"] = 33 self.assertEqual(store.node_properties(self.a), {"name": "Alice", "age": 33}) def test_can_update_properties(self): store = MutableGraphStore(self.store) properties = store.node_properties(self.a) self.assertEqual(properties, {"name": "Alice"}) properties["name"] = "Alistair" self.assertEqual(store.node_properties(self.a), {"name": "Alistair"}) def test_can_remove_properties(self): store = MutableGraphStore(self.store) properties = store.node_properties(self.a) self.assertEqual(properties, {"name": "Alice"}) del properties["name"] self.assertEqual(store.node_properties(self.a), {}) def test_should_allow_construction_arguments(self): store = MutableGraphStore.build({ "a": (["Person"], {"name": "Alice", "age": 33}), "b": (["Person"], {"name": "Bob", "age": 44}), }, { "ab": ("KNOWS", ("a", "b"), {"since": 1999}), }) self.assertIsInstance(store, MutableGraphStore) self.assertEqual(store.node_count(), 2) self.assertEqual(store.relationship_count(), 1) self.assertEqual(store.node_labels(), {"Person"}) self.assertEqual(store.relationship_types(), {"KNOWS"}) self.assertEqual(set(store.nodes("Person")), {"a", "b"}) self.assertEqual(store.node_labels("a"), {"Person"}) self.assertEqual(store.node_labels("b"), {"Person"}) self.assertEqual(store.node_properties("a"), {"name": "Alice", "age": 33}) self.assertEqual(store.node_properties("b"), {"name": "Bob", "age": 44}) self.assertEqual(set(store.relationships(r_type="KNOWS")), {"ab"}) self.assertEqual(store.relationship_type("ab"), "KNOWS") self.assertEqual(store.relationship_properties("ab"), {"since": 1999})

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null

0

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4

81691ed795893e79519ab37f6da9bbdc13f7231a

929

py

Python

test/test_validation_api.py

CiscoDevNet/python-msx-sdk

d7e0a08c656504b4f4551d263e67c671a2a04b3f

[ "MIT" ]

null

test/test_validation_api.py

CiscoDevNet/python-msx-sdk

d7e0a08c656504b4f4551d263e67c671a2a04b3f

[ "MIT" ]

null

test/test_validation_api.py

CiscoDevNet/python-msx-sdk

d7e0a08c656504b4f4551d263e67c671a2a04b3f

[ "MIT" ]

null

""" MSX SDK MSX SDK client. # noqa: E501 The version of the OpenAPI document: 1.0.9 Generated by: https://openapi-generator.tech """ import unittest import python_msx_sdk from python_msx_sdk.api.validation_api import ValidationApi # noqa: E501 class TestValidationApi(unittest.TestCase): """ValidationApi unit test stubs""" def setUp(self): self.api = ValidationApi() # noqa: E501 def tearDown(self): pass def test_get_validate_product_version_page(self): """Test case for get_validate_product_version_page Returns a filtered page of validations. # noqa: E501 """ pass def test_validate_product_version(self): """Test case for validate_product_version Validate registered product / verison combinations for vulnerabilities. # noqa: E501 """ pass if __name__ == '__main__': unittest.main()

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816c091cb7268b6fcb6927eb50aff517342e97fa

46

py

Python

clerk/__init__.py

mingaleg/yakubovich

95398c78eaffbd6ff69f8fdbedfc847531219d8a

[ "MIT" ]

5

2018-12-12T16:24:42.000Z

2020-02-29T18:45:30.000Z

clerk/__init__.py

mingaleg/yakubovich

95398c78eaffbd6ff69f8fdbedfc847531219d8a

[ "MIT" ]

3

2020-06-05T17:47:13.000Z

2022-02-11T03:39:54.000Z

clerk/__init__.py

mingaleg/yakubovich

95398c78eaffbd6ff69f8fdbedfc847531219d8a

[ "MIT" ]

null

default_app_config = "clerk.apps.ClerkConfig"

23

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46

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null

0

1

0

1

null

0

4

81772a4b3a6e01f84fb6bffa0654ddb84339bb37

4,529

py

Python

vis_imagine_static_voxels/lib/modules/Combine.py

mihirp1998/EmbLang

169b0468ccda554896973bcc226afb3e762a70e7

[ "Apache-2.0" ]

3

2020-07-12T02:15:27.000Z

2021-07-18T06:00:49.000Z

vis_imagine_static_voxels/lib/modules/Combine.py

mihirp1998/EmbLang

169b0468ccda554896973bcc226afb3e762a70e7

[ "Apache-2.0" ]

1

2021-07-18T06:00:10.000Z

2021-07-24T11:51:17.000Z

vis_imagine_static_voxels/lib/modules/Combine.py

mihirp1998/EmbLang

169b0468ccda554896973bcc226afb3e762a70e7

[ "Apache-2.0" ]

null

import tensorflow as tf from collections import OrderedDict from instance_norm import InstanceNormalization import time from tensorflow.python.platform import tf_logging tf_logging.set_verbosity(tf_logging.DEBUG) import ipdb st = ipdb.set_trace # tf.set_random_seed(1) class Combine_Vis(tf.keras.Model): def __init__(self, hiddim_v, hiddim_p=None, op='PROD'): super(Combine_Vis, self).__init__() self.op = op self.hiddim_v = hiddim_v if self.op == 'gPoE': self.gates_v = tf.keras.Sequential([tf.keras.layers.Conv3D(hiddim_v*4,3,1,padding="same"), InstanceNormalization(), tf.keras.layers.Activation('sigmoid'), tf.keras.layers.Conv3D(hiddim_v*4,3,1,padding="same"), InstanceNormalization()]) @tf.function def call(self, x1, x2): if self.op == 'PROD': return [x1[0] * x2[0], x1[1] * x2[1]] if self.op == 'gPoE': gates = tf.keras.layers.Activation('sigmoid')(self.gates_v(tf.concat([x1[0], x1[1], x2[0], x2[1]], -1))) x1_mu_g = gates[:,:,:,:,:self.hiddim_v] x1_var_g = gates[:,:,:,:,self.hiddim_v:2*self.hiddim_v] x2_mu_g = gates[:,:,:,:,2*self.hiddim_v:3*self.hiddim_v] x2_var_g = gates[:,:,:,:,3*self.hiddim_v:4*self.hiddim_v] x1_updated = [x1_mu_g*x1[0],tf.math.log(x1_var_g + 1e-5) + x1[1]] x2_updated = [x2_mu_g*x2[0], tf.math.log(x2_var_g + 1e-5) + x2[1]] mlogvar1 = -x1_updated[1] mlogvar2 = -x2_updated[1] mu1 = x1_updated[0] mu2 = x2_updated[0] logvar = -tf.math.log(tf.math.exp(mlogvar1) + tf.math.exp(mlogvar2)) mu = tf.math.exp(logvar)*(tf.math.exp(mlogvar1)*mu1 + tf.math.exp(mlogvar2)*mu2) return [mu, logvar] class Combine_Vis_Z(tf.keras.Model): def __init__(self, hiddim_v, hiddim_p=None, op='PROD'): super(Combine_Vis_Z, self).__init__() self.op = op self.hiddim_v = hiddim_v if self.op == 'gPoE': self.gates_v = tf.keras.Sequential([tf.keras.layers.Conv3D(hiddim_v*2,3,1,padding="same"), InstanceNormalization(), tf.keras.layers.Activation('sigmoid'), tf.keras.layers.Conv3D(hiddim_v*2,3,1,padding="same"), InstanceNormalization()]) @tf.function def call(self, x1, x2): if self.op == 'PROD': return [x1[0] * x2[0], x1[1] * x2[1]] if self.op == 'gPoE': gates = tf.keras.layers.Activation('sigmoid')(self.gates_v(tf.concat([x1, x2], -1))) x1_g = gates[:,:,:,:,:self.hiddim_v] x2_g = gates[:,:,:,:,self.hiddim_v:2*self.hiddim_v] x1_updated = x1_g*x1 x2_updated = x2_g*x2 x_final = x1_updated* x2_updated return x_final class Combine_Pos(tf.keras.Model): def __init__(self,hiddim_p, op='PROD'): super(Combine_Pos, self).__init__() self.op = op self.hiddim_p = hiddim_p if self.op == 'gPoE': self.gates_p = tf.keras.Sequential([tf.keras.layers.Conv3D(hiddim_p*4,3,1,padding="same"), InstanceNormalization(), tf.keras.layers.Activation('elu'), tf.keras.layers.Conv3D(hiddim_p*4,3,1,padding="same"), InstanceNormalization()]) @tf.function def call(self, x1, x2): if self.op == 'PROD': return [x1[0] * x2[0], x1[1] * x2[1]] if self.op == 'gPoE': gates = tf.keras.layers.Activation('sigmoid')(self.gates_p(tf.concat([x1[0], x1[1], x2[0], x2[1]], -1))) x1_mu_g = gates[:,:,:,:,:self.hiddim_p] x1_var_g = gates[:,:,:,:,self.hiddim_p:2*self.hiddim_p] x2_mu_g = gates[:,:,:,:,2*self.hiddim_p:3*self.hiddim_p] x2_var_g = gates[:,:,:,:,3*self.hiddim_p:4*self.hiddim_p] x1_updated = [x1_mu_g*x1[0],tf.math.log(x1_var_g + 1e-5) + x1[1]] x2_updated = [x2_mu_g*x2[0], tf.math.log(x2_var_g + 1e-5) + x2[1]] mlogvar1 = -x1_updated[1] mlogvar2 = -x2_updated[1] mu1 = x1_updated[0] mu2 = x2_updated[0] logvar = -tf.math.log(tf.math.exp(mlogvar1) + tf.math.exp(mlogvar2)) mu = tf.math.exp(logvar)*(tf.math.exp(mlogvar1)*mu1 + tf.math.exp(mlogvar2)*mu2) return [mu, logvar] def run(): x1 = [tf.random.normal([1,16,16,16,64]),tf.random.normal([1,16,16,16,64])] x2 = [tf.random.normal([1,16,16,16,64]),tf.random.normal([1,16,16,16,64])] import time s = time.time() cfunc(x1,x2,True) print(time.time() - s) if __name__ == "__main__": cfunc= Combine_Vis(64,"gPoE") for i in range(20): run() print(len(cfunc.trainable_variables))

35.661417

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null

0

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81924900cd5ad02c0fc2e7baa20bd83ae371c348

78

py

Python

nautobot_netbox_importer/diffsync/__init__.py

Thetacz/nautobot-plugin-netbox-importer

cbf95e3c471fc4b29aeea338fbeeea7476f1fa19

[ "Apache-2.0" ]

11

2021-02-24T17:54:54.000Z

2022-01-25T18:36:21.000Z

nautobot_netbox_importer/diffsync/__init__.py

Thetacz/nautobot-plugin-netbox-importer

cbf95e3c471fc4b29aeea338fbeeea7476f1fa19

[ "Apache-2.0" ]

44

2021-02-28T20:21:52.000Z

2022-02-10T21:40:35.000Z

nautobot_netbox_importer/diffsync/__init__.py

Thetacz/nautobot-plugin-netbox-importer

cbf95e3c471fc4b29aeea338fbeeea7476f1fa19

[ "Apache-2.0" ]

9

2021-02-28T17:05:53.000Z

2021-10-05T23:48:06.000Z

"""DiffSync adapter and model implementation for nautobot-netbox-importer."""

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null

0

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0

1

0

null

0

1

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4

81abd37a53f8dd72615ac2bd52785ea5b752ff75

255

py

Python

tea_django/models/vanilla.py

alefnula/django-tea

30c3fcb54828fe3d5f832cdd629ca53c78f8f930

[ "Apache-2.0" ]

1

2020-10-20T00:10:50.000Z

tea_django/models/vanilla.py

alefnula/tea-django

30c3fcb54828fe3d5f832cdd629ca53c78f8f930

[ "Apache-2.0" ]

null

tea_django/models/vanilla.py

alefnula/tea-django

30c3fcb54828fe3d5f832cdd629ca53c78f8f930

[ "Apache-2.0" ]

null

from tea_console.table import RichTableMixin from django.utils.functional import classproperty class VanillaModel(RichTableMixin): @classproperty def class_name(cls): return cls.__name__ def to_dict(self) -> dict: return {}

21.25

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255

11

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null

0

null

0

1

0

1

0

4

81d8016c8b2a73e578d8cce88377bed293d2f70a

374

py

Python

package_making_practice/facades/brightness.py

manthanchauhan/package_making_practice

22794423219486a80242883cf7299655ae0c39cc

[ "MIT" ]

1

2019-01-23T18:11:18.000Z

package_making_practice/facades/brightness.py

manthanchauhan/package_making_practice

22794423219486a80242883cf7299655ae0c39cc

[ "MIT" ]

null

package_making_practice/facades/brightness.py

manthanchauhan/package_making_practice

22794423219486a80242883cf7299655ae0c39cc

[ "MIT" ]

null

""" Brightness """ class Brightness(object): """ Brightness facade """ def current_level(self): return self._current_level() def set_level(self, level): return self._set_level(level) # private def _current_level(self): raise NotImplementedError() def _set_level(self, level): raise NotImplementedError()

16.26087

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null

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null

0

1

0

1

0

4

81df649f8c7613c60019b928c94c0cf65210ab10

1,047

py

Python

volunteer/models.py

witty-technologies-empowerment/codeupblood

a0aa1725e5776d80e083b6d4e9e67476bb97e983

[ "MIT" ]

null

volunteer/models.py

witty-technologies-empowerment/codeupblood

a0aa1725e5776d80e083b6d4e9e67476bb97e983

[ "MIT" ]

null

volunteer/models.py

witty-technologies-empowerment/codeupblood

a0aa1725e5776d80e083b6d4e9e67476bb97e983

[ "MIT" ]

1

2022-01-19T11:09:13.000Z

from django.db import models # Create your models here. class Volunteer(models.Model): telegram = models.CharField(max_length=100, blank=True) first_name = models.CharField(max_length=100, blank=False) last_name = models.CharField(max_length=100, blank=False) email = models.CharField(max_length=250, blank=False) phone = models.CharField(max_length=50, blank=False) city = models.CharField(max_length=50, blank=False) state = models.CharField(max_length=50, blank=False) tell_us = models.CharField(max_length=500, blank=False) where = models.CharField(max_length=50, blank=False) what = models.CharField(max_length=500, blank=False) why = models.CharField(max_length=500, blank=False) verified = models.BooleanField(default=False) created = models.DateTimeField(auto_now_add=True) class Meta: ordering = ['created'] def __str__(self): if self.verified: return self.first_name + " " + self.last_name + " is volunteering" else: return self.first_name + " " + self.last_name + " has submitted a volunteering form"

36.103448

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1

0

null

0

1

0

4

81e3b02ed34e17640e60f38b1f16c4743b8de174

408

py

Python

astoria/consumers/astctl/usercode/__init__.py

sedders123/astoria

d1e9603b10d765aed4c1237e79b5ab48a9af1d83

[ "MIT" ]

1

2021-02-03T02:54:54.000Z

astoria/consumers/astctl/usercode/__init__.py

sedders123/astoria

d1e9603b10d765aed4c1237e79b5ab48a9af1d83

[ "MIT" ]

72

2020-12-15T18:29:18.000Z

2022-03-08T09:42:53.000Z

astoria/astctl/usercode/__init__.py

trickeydan/astoria

ef08ed4be4d5997751846b0cadce9aa8261ae151

[ "MIT" ]

2

2022-02-05T23:00:51.000Z

2022-03-09T21:40:49.000Z

"""Commands to interact with usercode.""" import click from .kill import kill from .log import log from .restart import restart from .show import show from .trigger import trigger @click.group("usercode") def usercode() -> None: """Interact with Usercode.""" usercode.add_command(kill) usercode.add_command(log) usercode.add_command(restart) usercode.add_command(show) usercode.add_command(trigger)

19.428571

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1

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1

0

1

0

4

81e6012c210f1bff12325b5e62af9f61fa458356

364

py

Python

molecule/default/tests/test_default.py

osism/ansible-operator

bf5ff3635d8f29acabeaf8736d41a0d319c1d53f

[ "Apache-2.0" ]

null

molecule/default/tests/test_default.py

osism/ansible-operator

bf5ff3635d8f29acabeaf8736d41a0d319c1d53f

[ "Apache-2.0" ]

4

2019-11-20T21:10:53.000Z

2020-10-30T00:42:38.000Z

molecule/default/tests/test_default.py

osism/ansible-operator

bf5ff3635d8f29acabeaf8736d41a0d319c1d53f

[ "Apache-2.0" ]

1

2019-08-23T09:07:54.000Z

import pytest @pytest.fixture() def AnsibleDefaults(host): return host.ansible("include_vars", "defaults.yml")["ansible_facts"] def test_operator_user_and_group(host, AnsibleDefaults): user = host.user(AnsibleDefaults["operator_user"]) assert user.name == AnsibleDefaults["operator_user"] assert user.group == AnsibleDefaults["operator_group"]

28

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null

0

1

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1

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4

c4912930f60067aa4fae300fbbeb759c2bf798a6

479

py

Python

lib/log_utils/__init__.py

rainwangphy/AutoDL-Projects

1a40948255ac3c16ee529d94144a39bf26e89bfa

[ "MIT" ]

923

2020-01-11T06:36:53.000Z

2022-03-31T00:26:57.000Z

lib/log_utils/__init__.py

rainwangphy/AutoDL-Projects

1a40948255ac3c16ee529d94144a39bf26e89bfa

[ "MIT" ]

25

2020-02-27T08:35:46.000Z

2022-01-25T08:54:19.000Z

lib/log_utils/__init__.py

rainwangphy/AutoDL-Projects

1a40948255ac3c16ee529d94144a39bf26e89bfa

[ "MIT" ]

262

2020-01-02T02:19:40.000Z

2022-03-23T04:56:16.000Z

################################################## # Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2019 # ################################################## # every package does not rely on pytorch or tensorflow # I tried to list all dependency here: os, sys, time, numpy, (possibly) matplotlib from .logger import Logger, PrintLogger from .meter import AverageMeter from .time_utils import time_for_file, time_string, time_string_short, time_print, convert_secs2time

53.222222

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c4cdb7e054ca946b3bfe8f0eb5b3fb9348e7c785

70

py

Python

tarun.py

belonesox/casket_assembler

e6e4801cbb6942f465c3d0f38b3b068978e7806d

[ "MIT" ]

6

2021-05-31T05:38:59.000Z

2022-03-30T10:33:20.000Z

tarun.py

belonesox/casket_assembler

e6e4801cbb6942f465c3d0f38b3b068978e7806d

[ "MIT" ]

null

tarun.py

belonesox/casket_assembler

e6e4801cbb6942f465c3d0f38b3b068978e7806d

[ "MIT" ]

1

2020-12-05T19:12:45.000Z

#!/usr/bin/env python from terrarium_assembler.cli import main main()

17.5

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70

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