hexsha
string
size
int64
ext
string
lang
string
max_stars_repo_path
string
max_stars_repo_name
string
max_stars_repo_head_hexsha
string
max_stars_repo_licenses
list
max_stars_count
int64
max_stars_repo_stars_event_min_datetime
string
max_stars_repo_stars_event_max_datetime
string
max_issues_repo_path
string
max_issues_repo_name
string
max_issues_repo_head_hexsha
string
max_issues_repo_licenses
list
max_issues_count
int64
max_issues_repo_issues_event_min_datetime
string
max_issues_repo_issues_event_max_datetime
string
max_forks_repo_path
string
max_forks_repo_name
string
max_forks_repo_head_hexsha
string
max_forks_repo_licenses
list
max_forks_count
int64
max_forks_repo_forks_event_min_datetime
string
max_forks_repo_forks_event_max_datetime
string
content
string
avg_line_length
float64
max_line_length
int64
alphanum_fraction
float64
qsc_code_num_words_quality_signal
int64
qsc_code_num_chars_quality_signal
float64
qsc_code_mean_word_length_quality_signal
float64
qsc_code_frac_words_unique_quality_signal
float64
qsc_code_frac_chars_top_2grams_quality_signal
float64
qsc_code_frac_chars_top_3grams_quality_signal
float64
qsc_code_frac_chars_top_4grams_quality_signal
float64
qsc_code_frac_chars_dupe_5grams_quality_signal
float64
qsc_code_frac_chars_dupe_6grams_quality_signal
float64
qsc_code_frac_chars_dupe_7grams_quality_signal
float64
qsc_code_frac_chars_dupe_8grams_quality_signal
float64
qsc_code_frac_chars_dupe_9grams_quality_signal
float64
qsc_code_frac_chars_dupe_10grams_quality_signal
float64
qsc_code_frac_chars_replacement_symbols_quality_signal
float64
qsc_code_frac_chars_digital_quality_signal
float64
qsc_code_frac_chars_whitespace_quality_signal
float64
qsc_code_size_file_byte_quality_signal
float64
qsc_code_num_lines_quality_signal
float64
qsc_code_num_chars_line_max_quality_signal
float64
qsc_code_num_chars_line_mean_quality_signal
float64
qsc_code_frac_chars_alphabet_quality_signal
float64
qsc_code_frac_chars_comments_quality_signal
float64
qsc_code_cate_xml_start_quality_signal
float64
qsc_code_frac_lines_dupe_lines_quality_signal
float64
qsc_code_cate_autogen_quality_signal
float64
qsc_code_frac_lines_long_string_quality_signal
float64
qsc_code_frac_chars_string_length_quality_signal
float64
qsc_code_frac_chars_long_word_length_quality_signal
float64
qsc_code_frac_lines_string_concat_quality_signal
float64
qsc_code_cate_encoded_data_quality_signal
float64
qsc_code_frac_chars_hex_words_quality_signal
float64
qsc_code_frac_lines_prompt_comments_quality_signal
float64
qsc_code_frac_lines_assert_quality_signal
float64
qsc_codepython_cate_ast_quality_signal
float64
qsc_codepython_frac_lines_func_ratio_quality_signal
float64
qsc_codepython_cate_var_zero_quality_signal
bool
qsc_codepython_frac_lines_pass_quality_signal
float64
qsc_codepython_frac_lines_import_quality_signal
float64
qsc_codepython_frac_lines_simplefunc_quality_signal
float64
qsc_codepython_score_lines_no_logic_quality_signal
float64
qsc_codepython_frac_lines_print_quality_signal
float64
qsc_code_num_words
int64
qsc_code_num_chars
int64
qsc_code_mean_word_length
int64
qsc_code_frac_words_unique
null
qsc_code_frac_chars_top_2grams
int64
qsc_code_frac_chars_top_3grams
int64
qsc_code_frac_chars_top_4grams
int64
qsc_code_frac_chars_dupe_5grams
int64
qsc_code_frac_chars_dupe_6grams
int64
qsc_code_frac_chars_dupe_7grams
int64
qsc_code_frac_chars_dupe_8grams
int64
qsc_code_frac_chars_dupe_9grams
int64
qsc_code_frac_chars_dupe_10grams
int64
qsc_code_frac_chars_replacement_symbols
int64
qsc_code_frac_chars_digital
int64
qsc_code_frac_chars_whitespace
int64
qsc_code_size_file_byte
int64
qsc_code_num_lines
int64
qsc_code_num_chars_line_max
int64
qsc_code_num_chars_line_mean
int64
qsc_code_frac_chars_alphabet
int64
qsc_code_frac_chars_comments
int64
qsc_code_cate_xml_start
int64
qsc_code_frac_lines_dupe_lines
int64
qsc_code_cate_autogen
int64
qsc_code_frac_lines_long_string
int64
qsc_code_frac_chars_string_length
int64
qsc_code_frac_chars_long_word_length
int64
qsc_code_frac_lines_string_concat
null
qsc_code_cate_encoded_data
int64
qsc_code_frac_chars_hex_words
int64
qsc_code_frac_lines_prompt_comments
int64
qsc_code_frac_lines_assert
int64
qsc_codepython_cate_ast
int64
qsc_codepython_frac_lines_func_ratio
int64
qsc_codepython_cate_var_zero
int64
qsc_codepython_frac_lines_pass
int64
qsc_codepython_frac_lines_import
int64
qsc_codepython_frac_lines_simplefunc
int64
qsc_codepython_score_lines_no_logic
int64
qsc_codepython_frac_lines_print
int64
effective
string
hits
int64
ce754f8ccaef370d5bccd15d3b5a3617a6bc907e
7,773
py
Python
science_animations/square_cube.py
dhruvbhatia00/manim
ad2eb05bcc806a5c947d8e79797f133b0b0b0153
[ "MIT" ]
null
null
null
science_animations/square_cube.py
dhruvbhatia00/manim
ad2eb05bcc806a5c947d8e79797f133b0b0b0153
[ "MIT" ]
null
null
null
science_animations/square_cube.py
dhruvbhatia00/manim
ad2eb05bcc806a5c947d8e79797f133b0b0b0153
[ "MIT" ]
null
null
null
from manimlib.imports import * class SquareScale(Scene): CONFIG = { "camera_config": {"background_color": WHITE}, "text_config": {"stroke_color": WHITE, "fill_color": BLACK}, } def construct(self): s1 = VGroup() for i in range(2): line = VGroup() fo...
31.726531
97
0.509456
984
7,773
3.925813
0.09248
0.047631
0.041419
0.037018
0.933989
0.922858
0.922858
0.908879
0.907585
0.896454
0
0.045564
0.359063
7,773
245
98
31.726531
0.729827
0.016982
0
0.887755
0
0
0.029974
0
0
0
0
0
0
1
0.015306
false
0
0.005102
0
0.05102
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
ce821a035385e45f39286ff29aadc6d17b8aded6
5,035
py
Python
turtle222.py
shyed2001/Python_Programming
93ef958e3d8aa77f9191b550972235ce4fe4a6cb
[ "bzip2-1.0.6" ]
2
2019-05-01T04:32:14.000Z
2019-05-04T11:28:18.000Z
turtle222.py
shyed2001/python-learning-basics
93ef958e3d8aa77f9191b550972235ce4fe4a6cb
[ "bzip2-1.0.6" ]
null
null
null
turtle222.py
shyed2001/python-learning-basics
93ef958e3d8aa77f9191b550972235ce4fe4a6cb
[ "bzip2-1.0.6" ]
null
null
null
print(""" import turtle wn = turtle.Screen() print("#Creates a playground for turtle. Not must?") tess=turtle.Turtle() alex=turtle.Turtle() alex.pen() alex.backward(30) alex.penup() alex.right(-60) alex.forward(-45) alex.pendown() alex.left(-30) alex.backward(-20) alex.penup() alex.forward(-45) ...
18.928571
53
0.599801
759
5,035
3.97892
0.093544
0.123841
0.077483
0.059603
0.920199
0.906954
0.878808
0.878808
0.878808
0.877483
0
0.070779
0.2143
5,035
265
54
19
0.692619
0.01569
0
0.938017
0
0
0.510993
0
0
0
0
0
0
1
0
false
0
0.008264
0
0.008264
0.012397
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
0ca1e403e1186f18da54e6b778ca849ea222b9ef
16,924
py
Python
dataset.py
elientumba2019/Learning-Exposure-Correction-via-consistency-Modeling-Pytorch-Implementation-
eba44073a8dc699de880e5d6b9977db3dd80ace2
[ "MIT" ]
8
2021-10-18T10:59:49.000Z
2022-03-30T08:08:11.000Z
dataset.py
elientumba2019/Learning-Exposure-Correction-via-consistency-Modeling-Pytorch-Implementation-
eba44073a8dc699de880e5d6b9977db3dd80ace2
[ "MIT" ]
1
2022-02-22T03:10:12.000Z
2022-02-22T03:10:12.000Z
dataset.py
elientumba2019/Learning-Exposure-Correction-via-consistency-Modeling-Pytorch-Implementation-
eba44073a8dc699de880e5d6b9977db3dd80ace2
[ "MIT" ]
1
2022-01-21T02:55:19.000Z
2022-01-21T02:55:19.000Z
import os import cv2 import numpy as np import torch import torchvision.transforms.functional as TF from torch.utils.data import Dataset import imageio import matplotlib.pyplot as plt from PIL import Image from torchvision import transforms import glob import random class ExposureCorrectionTrain(Dataset): def _...
30.493694
99
0.580773
2,194
16,924
4.25433
0.084777
0.049282
0.030534
0.023998
0.813585
0.801907
0.788301
0.783801
0.783801
0.779944
0
0.022791
0.287048
16,924
554
100
30.548736
0.750787
0.082841
0
0.723343
0
0.008646
0.039361
0.009824
0
0
0
0
0.008646
1
0.086455
false
0
0.034582
0.008646
0.216138
0.014409
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
0cb197028295bcd2c4f2c607e98011d3afafb86c
9,194
py
Python
webserver/python2.7/site-packages/mpmath/tests/test_calculus.py
maxr1876/Radix
bf9a5470908ea0823c8398565086b1e6b960c73b
[ "BSD-2-Clause" ]
4
2018-06-03T02:11:46.000Z
2021-08-18T19:55:15.000Z
mpmath/tests/test_calculus.py
asmeurer/mpmath
157a7091b80c3ac12c4d3c1886a892bd8b29d8bc
[ "BSD-3-Clause" ]
null
null
null
mpmath/tests/test_calculus.py
asmeurer/mpmath
157a7091b80c3ac12c4d3c1886a892bd8b29d8bc
[ "BSD-3-Clause" ]
3
2019-12-23T19:12:51.000Z
2021-04-30T14:00:31.000Z
from mpmath import * def test_approximation(): mp.dps = 15 f = lambda x: cos(2-2*x)/x p, err = chebyfit(f, [2, 4], 8, error=True) assert err < 1e-5 for i in range(10): x = 2 + i/5. assert abs(polyval(p, x) - f(x)) < err def test_limits(): mp.dps = 15 assert limit(lambda x: ...
41.414414
79
0.586252
1,045
9,194
5.133014
0.180861
0.042506
0.04698
0.049217
0.777778
0.769202
0.752983
0.74739
0.74739
0.726883
0
0.462449
0.255601
9,194
221
80
41.60181
0.321303
0.015119
0
0.519608
0
0
0.094575
0
0
0
0
0
0.196078
1
0.04902
false
0.014706
0.004902
0
0.053922
0
0
0
0
null
0
0
0
0
1
1
1
1
1
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
0ccc977d12c6fcc42b4325fe08d236a749047f56
13,068
py
Python
fixture/session.py
SazonovPavel/lims-tst-web-portal
75f6538d7e16ce1fc0c96ea6f499b95a7eab1cfd
[ "Apache-2.0" ]
null
null
null
fixture/session.py
SazonovPavel/lims-tst-web-portal
75f6538d7e16ce1fc0c96ea6f499b95a7eab1cfd
[ "Apache-2.0" ]
null
null
null
fixture/session.py
SazonovPavel/lims-tst-web-portal
75f6538d7e16ce1fc0c96ea6f499b95a7eab1cfd
[ "Apache-2.0" ]
1
2019-08-11T18:53:18.000Z
2019-08-11T18:53:18.000Z
import time class SessionHelper: def __init__(self, app): self.app = app def login(self, password, path_to_key): wd = self.app.wd self.app.open_home_page() # 1 нажимаем кнопку "Войти на портал" wd.find_element_by_xpath("//div[@id='content-wrapper']/div/a/div").click()...
48.761194
139
0.647153
1,728
13,068
4.718171
0.084491
0.052251
0.11321
0.130627
0.952901
0.943088
0.943088
0.938918
0.938918
0.938918
0
0.01454
0.205311
13,068
267
140
48.94382
0.770534
0.209137
0
0.874214
0
0.062893
0.382935
0.319454
0
0
0
0
0.044025
1
0.069182
false
0.100629
0.006289
0
0.081761
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
8
49034a9982344167bc6fe3456e6ee488cab3dd4e
2,124
py
Python
RSA-encryption/Attack-Retrieve-Modulus/extractmod.py
amoniaka-knabino/Crypton
91a91698050a384e7623eddc871dba1acecd585c
[ "MIT" ]
1,175
2018-06-13T07:05:56.000Z
2022-03-28T05:51:38.000Z
RSA-encryption/Attack-Retrieve-Modulus/extractmod.py
amoniaka-knabino/Crypton
91a91698050a384e7623eddc871dba1acecd585c
[ "MIT" ]
5
2019-10-12T15:43:52.000Z
2020-08-03T05:52:08.000Z
RSA-encryption/Attack-Retrieve-Modulus/extractmod.py
amoniaka-knabino/Crypton
91a91698050a384e7623eddc871dba1acecd585c
[ "MIT" ]
211
2018-02-13T11:06:08.000Z
2022-03-28T22:36:59.000Z
from Crypto.Util.number import * def extractmod_eknown(_encrypt, e, limit=4): """ Reference: https://crypto.stackexchange.com/questions/43583/deduce-modulus-n-from-public-exponent-and-encrypted-data Function to extract the value of modulus, given value of public key exponent :input parameters: _...
36.62069
120
0.615819
294
2,124
4.289116
0.265306
0.023791
0.028549
0.043616
0.820777
0.808089
0.79778
0.781126
0.781126
0.781126
0
0.020672
0.271186
2,124
57
121
37.263158
0.793928
0
0
0.542857
0
0
0.053528
0
0
0
0
0
0.142857
0
null
null
0
0.028571
null
null
0.114286
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
7
0b462016526368e9856f7c9debabb066a9fb9311
89
py
Python
catsup/parser/__init__.py
whtsky/catsup-docs-zh
91b5ebcf77e0df5de736bd5f3f03deb9145699f5
[ "MIT" ]
62
2015-01-12T03:15:54.000Z
2021-09-11T03:30:57.000Z
catsup/parser/__init__.py
whtsky/catsup-docs-zh
91b5ebcf77e0df5de736bd5f3f03deb9145699f5
[ "MIT" ]
52
2015-04-18T19:21:00.000Z
2020-05-25T00:49:34.000Z
catsup/parser/__init__.py
whtsky/catsup-docs-zh
91b5ebcf77e0df5de736bd5f3f03deb9145699f5
[ "MIT" ]
14
2015-01-11T12:55:02.000Z
2019-02-28T06:36:56.000Z
from .config import load def config(*args, **kwargs): return load(*args, **kwargs)
14.833333
32
0.662921
12
89
4.916667
0.666667
0.338983
0
0
0
0
0
0
0
0
0
0
0.179775
89
5
33
17.8
0.808219
0
0
0
0
0
0
0
0
0
0
0
0
1
0.333333
true
0
0.333333
0.333333
1
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
1
0
1
1
1
0
0
8
0ba2e719b28ebb14b29967fe8197686a3b944c0e
9,679
py
Python
tests/evaluation_setting/test_evaluation_setting.py
zhaoyone/RecBole
a620a96cc58535462b468d2ca799ac52d31fcf0a
[ "MIT" ]
4
2021-04-23T07:47:53.000Z
2022-02-01T13:48:33.000Z
tests/evaluation_setting/test_evaluation_setting.py
zhaoyone/RecBole
a620a96cc58535462b468d2ca799ac52d31fcf0a
[ "MIT" ]
null
null
null
tests/evaluation_setting/test_evaluation_setting.py
zhaoyone/RecBole
a620a96cc58535462b468d2ca799ac52d31fcf0a
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- # @Time : 2020/10/27 # @Author : Shanlei Mu # @Email : slmu@ruc.edu.cn # UPDATE: # @Time : 2020/11/17 # @Author : Xingyu Pan # @Email : panxy@ruc.edu.cn import os import unittest from recbole.quick_start import objective_function current_path = os.path.dirname(os.path.realpath(__file__)...
36.115672
76
0.53363
952
9,679
5.006303
0.086134
0.226605
0.214436
0.158624
0.890684
0.890684
0.889845
0.87222
0.842845
0.842845
0
0.015205
0.354479
9,679
267
77
36.250936
0.747599
0.428143
0
0.520548
0
0
0.077408
0.006051
0
0
0
0
0
1
0.123288
false
0
0.041096
0
0.205479
0
0
0
0
null
1
1
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
f06728207656423e01d53423b7a572d541a728a8
96
py
Python
vision_kf/other/ekf/main.py
vortexntnu/Vortex-CV
eb5e4836eeb750551807760a2eef3a0fb7daf7ff
[ "MIT" ]
2
2022-01-26T11:13:38.000Z
2022-02-22T21:18:30.000Z
vision_kf/other/ekf/main.py
vortexntnu/Vortex-CV
eb5e4836eeb750551807760a2eef3a0fb7daf7ff
[ "MIT" ]
42
2022-01-25T17:10:43.000Z
2022-03-29T18:41:34.000Z
vision_kf/other/ekf/main.py
vortexntnu/Vortex_CV
eb5e4836eeb750551807760a2eef3a0fb7daf7ff
[ "MIT" ]
null
null
null
import sample_simulations.basic_sim if __name__ == "__main__": sample_simulations.basic_sim
24
35
0.8125
12
96
5.5
0.666667
0.515152
0.666667
0.757576
0
0
0
0
0
0
0
0
0.114583
96
4
36
24
0.776471
0
0
0
0
0
0.082474
0
0
0
0
0
0
1
0
true
0
0.333333
0
0.333333
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
7
b2b1bf59df3724ab4ea576f88dbbc19751e9e9a7
4,877
py
Python
tests/test_engine/test_queries/test_queryop_comparsion_eq.py
jqueguiner/montydb
55bb3099fe110dbcd1ee24a71479fb0861d993a4
[ "BSD-3-Clause" ]
null
null
null
tests/test_engine/test_queries/test_queryop_comparsion_eq.py
jqueguiner/montydb
55bb3099fe110dbcd1ee24a71479fb0861d993a4
[ "BSD-3-Clause" ]
null
null
null
tests/test_engine/test_queries/test_queryop_comparsion_eq.py
jqueguiner/montydb
55bb3099fe110dbcd1ee24a71479fb0861d993a4
[ "BSD-3-Clause" ]
null
null
null
from montydb.types import PY3, bson_ as bson from ...conftest import skip_if_no_bson def count_documents(cursor, spec=None): return cursor.collection.count_documents(spec or {}) def test_qop_eq_1(monty_find, mongo_find): docs = [ {"a": 1}, {"a": 0} ] spec = {"a": 1} monty_c = ...
25.139175
75
0.602009
734
4,877
3.701635
0.084469
0.097166
0.114833
0.176665
0.883327
0.853147
0.83364
0.806404
0.768127
0.748988
0
0.02305
0.234981
4,877
193
76
25.26943
0.705173
0
0
0.617021
0
0
0.025636
0
0
0
0
0
0.219858
1
0.092199
false
0
0.014184
0.007092
0.113475
0
0
0
0
null
0
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
3317f80ea1bd997f501f0d55beec7442b87e67b1
33,446
py
Python
eeauditor/auditors/aws/Amazon_ELB_Auditor.py
kbhagi/ElectricEye
31960e1e1cfb75c5d354844ea9e07d5295442823
[ "Apache-2.0" ]
442
2020-03-15T20:56:36.000Z
2022-03-31T22:13:07.000Z
eeauditor/auditors/aws/Amazon_ELB_Auditor.py
kbhagi/ElectricEye
31960e1e1cfb75c5d354844ea9e07d5295442823
[ "Apache-2.0" ]
57
2020-03-15T22:09:56.000Z
2022-03-31T13:17:06.000Z
eeauditor/auditors/aws/Amazon_ELB_Auditor.py
kbhagi/ElectricEye
31960e1e1cfb75c5d354844ea9e07d5295442823
[ "Apache-2.0" ]
59
2020-03-15T21:19:10.000Z
2022-03-31T15:01:31.000Z
#This file is part of ElectricEye. #SPDX-License-Identifier: Apache-2.0 #Licensed to the Apache Software Foundation (ASF) under one #or more contributor license agreements. See the NOTICE file #distributed with this work for additional information #regarding copyright ownership. The ASF licenses this file #to you un...
52.753943
225
0.474795
2,735
33,446
5.789762
0.107495
0.037512
0.033344
0.036123
0.911778
0.902494
0.896116
0.893653
0.891127
0.886833
0
0.059586
0.418944
33,446
634
226
52.753943
0.755223
0.041021
0
0.825796
0
0.033501
0.408861
0.062008
0
0
0
0
0
1
0.008375
false
0.011725
0.005025
0
0.0134
0.001675
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
33314d11fe613ecbffce19b3743d2155cd43a2f3
59,208
py
Python
textnn/utils/encoding/test/test_text.py
tongr/TextNN
a0294a197d3be284177214e8f019e9fed13dff1a
[ "Apache-2.0" ]
1
2019-03-08T12:12:45.000Z
2019-03-08T12:12:45.000Z
textnn/utils/encoding/test/test_text.py
tongr/TextNN
a0294a197d3be284177214e8f019e9fed13dff1a
[ "Apache-2.0" ]
16
2019-02-14T11:51:30.000Z
2019-06-11T08:25:53.000Z
textnn/utils/encoding/test/test_text.py
tongr/TextNN
a0294a197d3be284177214e8f019e9fed13dff1a
[ "Apache-2.0" ]
null
null
null
from textnn.utils.encoding.text import * from pytest import approx, raises # texts from https://en.wikipedia.org/wiki/Python_(programming_language) corpus = [ "Python is an interpreted, high-level, general-purpose programming language.", "Created by Guido van Rossum and first released in 1991, Python has a d...
45.826625
127
0.673085
8,385
59,208
4.574478
0.039117
0.082592
0.150168
0.125401
0.947128
0.938733
0.93146
0.927393
0.923665
0.916156
0
0.034642
0.196528
59,208
1,291
128
45.862122
0.771651
0.31972
0
0.701563
0
0
0.081501
0
0
0
0
0.000775
0.421875
1
0.042188
false
0
0.003125
0
0.048438
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
1
0
0
0
0
0
0
0
0
0
8
681c5ebeef339e47245f467c0228ce49d5ce6971
6,916
py
Python
models/official/detection/modeling/architecture/nn_blocks.py
eduagarcia/tpu
e6fb353f5d61b02c140a8b8a2a50c58b557c2f91
[ "Apache-2.0" ]
4
2020-01-23T16:17:37.000Z
2022-01-18T22:02:22.000Z
models/official/detection/modeling/architecture/nn_blocks.py
eduagarcia/tpu
e6fb353f5d61b02c140a8b8a2a50c58b557c2f91
[ "Apache-2.0" ]
null
null
null
models/official/detection/modeling/architecture/nn_blocks.py
eduagarcia/tpu
e6fb353f5d61b02c140a8b8a2a50c58b557c2f91
[ "Apache-2.0" ]
1
2020-02-16T12:09:49.000Z
2020-02-16T12:09:49.000Z
# Lint as: python2, python3 # Copyright 2019 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # ...
38.209945
80
0.688404
903
6,916
5.10299
0.204873
0.073785
0.036458
0.060764
0.81467
0.81467
0.789497
0.789497
0.789497
0.789497
0
0.00621
0.231637
6,916
180
81
38.422222
0.860933
0.468623
0
0.863158
0
0
0.025338
0
0
0
0
0
0
1
0.021053
false
0
0.063158
0
0.105263
0.010526
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
68343224fe17a55d8db2c799bf413ec4efc51bd4
1,396
py
Python
output/my_ASCII_drawings_functions.py
MicheleMorelli/ASCII_art_tool_for_terminal
8d60738252434d4d0185a023715f24e93c752513
[ "MIT" ]
3
2018-02-09T17:24:22.000Z
2018-02-12T21:44:30.000Z
output/my_ASCII_drawings_functions.py
MicheleMorelli/ASCII_art_tool_for_terminal
8d60738252434d4d0185a023715f24e93c752513
[ "MIT" ]
2
2018-02-10T18:15:25.000Z
2018-02-16T16:31:48.000Z
output/my_ASCII_drawings_functions.py
MicheleMorelli/ASCII_art_tool_for_terminal
8d60738252434d4d0185a023715f24e93c752513
[ "MIT" ]
null
null
null
#Created with the Terminal ASCII Paint app by Michele Morelli - https://github.com/MicheleMorelli def draw_house(): print(" "*64+"\n"+" "*64+"\n"+" "*5+"_"*33+" "*26+"\n"+" "*4+"|"+"/"*4+"|"+"#"*28+" "*26+"\n"+" "*4+"|"+"/"*4+"|"+"#"*28+" "*26+"\n"+" "*4+"|"+"/"*4+"|"+"#"*2+" "*2+"|"+"/"+"|"+"#"*2+" "*3+"|"+"/"+"|...
155.111111
1,042
0.222779
169
1,396
1.810651
0.195266
0.176471
0.261438
0.313725
0.601307
0.545752
0.545752
0.53268
0.53268
0.53268
0
0.116065
0.068052
1,396
8
1,043
174.5
0.119139
0.068768
0
0
0
0
0.20339
0
0
0
0
0
0
1
0.4
true
0
0
0
0.4
0.4
0
0
1
null
0
1
1
0
0
0
0
0
0
0
0
0
0
1
1
1
1
0
0
0
0
0
0
0
null
0
0
0
0
0
1
1
0
0
0
0
0
0
9
684504b3b0dfe97aa6dde7500a7330073d9cfc7a
142
py
Python
EEG_Lightning/dassl/config/__init__.py
mcd4874/NeurIPS_competition
4df1f222929e9824a55c9c4ae6634743391b0fe9
[ "MIT" ]
23
2021-10-14T02:31:06.000Z
2022-01-25T16:26:44.000Z
EEG_Lightning/dassl/config/__init__.py
mcd4874/NeurIPS_competition
4df1f222929e9824a55c9c4ae6634743391b0fe9
[ "MIT" ]
null
null
null
EEG_Lightning/dassl/config/__init__.py
mcd4874/NeurIPS_competition
4df1f222929e9824a55c9c4ae6634743391b0fe9
[ "MIT" ]
1
2022-03-05T06:54:11.000Z
2022-03-05T06:54:11.000Z
# from .defaults import _C as cfg_default from .defaults_new import _C as cfg_default def get_cfg_default(): return cfg_default.clone()
20.285714
43
0.774648
23
142
4.434783
0.521739
0.392157
0.176471
0.235294
0.372549
0
0
0
0
0
0
0
0.161972
142
6
44
23.666667
0.857143
0.274648
0
0
0
0
0
0
0
0
0
0
0
1
0.333333
true
0
0.333333
0.333333
1
0
1
0
0
null
1
0
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
1
0
1
1
1
0
0
9
d7ac82c4bf58877230764c65e4a1152e6f4b8703
22,997
py
Python
sm2/genmod/tests/test_irls.py
jbrockmendel/sm2
c02a3f9a4fcba35ffc8c852ca5ad8b9d7620f4cf
[ "BSD-3-Clause" ]
1
2021-08-02T13:48:59.000Z
2021-08-02T13:48:59.000Z
sm2/genmod/tests/test_irls.py
jbrockmendel/sm2
c02a3f9a4fcba35ffc8c852ca5ad8b9d7620f4cf
[ "BSD-3-Clause" ]
24
2018-03-26T00:44:58.000Z
2018-10-09T17:06:07.000Z
sm2/genmod/tests/test_irls.py
jbrockmendel/sm2
c02a3f9a4fcba35ffc8c852ca5ad8b9d7620f4cf
[ "BSD-3-Clause" ]
null
null
null
""" Tests for iteratively weighted least squares Upstream this is part of test_glm """ import warnings import pytest import numpy as np from numpy.testing import assert_allclose import sm2.api as sm from sm2.genmod.families import links from sm2.tools.numdiff import approx_fprime, approx_hess @pytest.mark.not_vett...
48.313025
79
0.485933
2,371
22,997
4.564319
0.10291
0.066069
0.067917
0.063205
0.820366
0.790335
0.768619
0.74672
0.724358
0.702273
0
0.021985
0.424447
22,997
475
80
48.414737
0.795633
0.100883
0
0.710811
0
0
0.004123
0
0
0
0
0.002105
0.043243
1
0.013514
false
0
0.024324
0
0.040541
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
d7c0c5d036761a235af172c3a181ee57c3a31c1e
51,281
py
Python
misc/baxter/src_py_/Jos.py
YoshimitsuMatsutaIe/rmp_test
a7c94ff68b518ef51821484795c308c2c8519c4c
[ "MIT" ]
null
null
null
misc/baxter/src_py_/Jos.py
YoshimitsuMatsutaIe/rmp_test
a7c94ff68b518ef51821484795c308c2c8519c4c
[ "MIT" ]
null
null
null
misc/baxter/src_py_/Jos.py
YoshimitsuMatsutaIe/rmp_test
a7c94ff68b518ef51821484795c308c2c8519c4c
[ "MIT" ]
null
null
null
import numpy as np from math import cos as c from math import sin as s from math import tan as ta from math import sqrt as sq def jo_W0(q): return numpy.array([[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0]]) def jo_BR(q): return numpy.array([[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0], [0...
1,972.346154
22,155
0.629434
10,801
51,281
2.987501
0.003518
0.103322
0.240145
0.148134
0.996405
0.994825
0.994608
0.994453
0.994205
0.993864
0
0.346143
0.068368
51,281
25
22,156
2,051.24
0.329273
0
0
0.2
0
0
0
0
0
0
0
0
0
1
0.4
false
0
0.2
0.4
1
0
0
0
0
null
0
1
0
1
1
1
1
1
1
0
1
0
0
0
1
1
1
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
0
0
0
13
d7c3d65be25a07ed197194379f9ba747b3b6336a
3,103
py
Python
mailman2/mailmanapi.py
edinburghhacklab/hackdb
3ec7d66039705aa511dd6559196fa51a53b3a110
[ "MIT" ]
null
null
null
mailman2/mailmanapi.py
edinburghhacklab/hackdb
3ec7d66039705aa511dd6559196fa51a53b3a110
[ "MIT" ]
null
null
null
mailman2/mailmanapi.py
edinburghhacklab/hackdb
3ec7d66039705aa511dd6559196fa51a53b3a110
[ "MIT" ]
null
null
null
# SPDX-FileCopyrightText: 2022 Tim Hawes <me@timhawes.com> # # SPDX-License-Identifier: MIT import requests from django.conf import settings def get_list(list_name): return requests.get( f"{settings.MAILMAN_API_URL}/lists/{list_name}", auth=(settings.MAILMAN_API_USERNAME, settings.MAILMAN_API_PAS...
27.954955
78
0.680309
378
3,103
5.320106
0.150794
0.223769
0.268523
0.09448
0.856788
0.835903
0.793635
0.793635
0.762805
0.694182
0
0.006539
0.211408
3,103
110
79
28.209091
0.815284
0.027393
0
0.639535
0
0
0.184804
0.178832
0
0
0
0
0
1
0.116279
false
0.116279
0.023256
0.023256
0.348837
0
0
0
0
null
1
1
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
9
d7d2bf124a31fe521ab6732f67afc6b1daa7633f
1,716
py
Python
server/commands/build.py
ivan0313/Facial-Recognition-Database-Management-System
0e3693ed7308733b4b2f9155ae86bb35d67299af
[ "MIT" ]
6
2021-09-13T13:45:49.000Z
2021-12-20T15:36:10.000Z
server/commands/build.py
ivan-ngchakming/Facial-Recognition-Database-Management-System
5b5409822db482d5c9f7d7f71538cfa614633843
[ "MIT" ]
31
2021-09-11T05:52:56.000Z
2021-11-07T14:35:41.000Z
server/commands/build.py
ivan-ngchakming/Facial-Recognition-Database-Management-System
5b5409822db482d5c9f7d7f71538cfa614633843
[ "MIT" ]
2
2021-09-13T04:08:05.000Z
2021-09-26T04:06:53.000Z
import os import timeit from flask.cli import AppGroup import click cli = AppGroup("build", short_help="Building the application") def create_build_dir(): path = "pyinstaller_build" if not os.path.isdir(path): os.mkdir(path) @cli.command() @click.option("-r", "--build-react", is_flag=True, defaul...
22.88
67
0.655012
230
1,716
4.708696
0.282609
0.055402
0.036934
0.062789
0.829178
0.829178
0.829178
0.829178
0.829178
0.829178
0
0.004354
0.19697
1,716
74
68
23.189189
0.781567
0.079837
0
0.711111
0
0
0.186785
0.044473
0
0
0
0
0
1
0.066667
false
0
0.133333
0
0.2
0.044444
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
d7d747736127584c691afa077e404aa531e2c0b7
863
py
Python
tests/unit/format/test_format.py
matthewgdv/pathmagic
fe5788e02cfa7397cc0ef45ea7a0c5549ca4f261
[ "MIT" ]
null
null
null
tests/unit/format/test_format.py
matthewgdv/pathmagic
fe5788e02cfa7397cc0ef45ea7a0c5549ca4f261
[ "MIT" ]
1
2021-02-08T10:48:05.000Z
2021-02-08T10:48:05.000Z
tests/unit/format/test_format.py
matthewgdv/pathmagic
fe5788e02cfa7397cc0ef45ea7a0c5549ca4f261
[ "MIT" ]
null
null
null
# import pytest class TestFormatHandler: def test_read(self): # synced assert True def test_write(self): # synced assert True def test_append(self): # synced assert True def test_read_help(self): # synced assert True def test_write_help(self): # synced ...
18.361702
44
0.61993
105
863
4.866667
0.2
0.178082
0.407045
0.508806
0.804305
0.682975
0.630137
0.577299
0.577299
0.534247
0
0
0.31518
863
46
45
18.76087
0.864636
0.12051
0
0.724138
0
0
0
0
0
0
0
0
0.448276
1
0.448276
false
0
0
0
0.551724
0
0
0
0
null
0
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
1
0
1
0
0
0
0
1
0
0
7
cc0be2f3533641a0121542ea7b30cb61571efd9c
10,260
py
Python
alembic/versions/50979d8ef680_add_aadp_purchase_steps.py
albertwo1978/atst
60d0c688b328bf3385b07885ff33d215e42ac395
[ "MIT" ]
1
2020-01-16T16:15:52.000Z
2020-01-16T16:15:52.000Z
alembic/versions/50979d8ef680_add_aadp_purchase_steps.py
albertwo1978/atst
60d0c688b328bf3385b07885ff33d215e42ac395
[ "MIT" ]
null
null
null
alembic/versions/50979d8ef680_add_aadp_purchase_steps.py
albertwo1978/atst
60d0c688b328bf3385b07885ff33d215e42ac395
[ "MIT" ]
null
null
null
"""Add AADP Purchase Steps Revision ID: 50979d8ef680 Revises: cd7e3f9a5d64 Create Date: 2020-01-30 17:00:27.916639 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = "50979d8ef680" # pragma: allowlist secret down_revision = "cd7e3f9a5d64" # pragma: allowlist secr...
40.714286
65
0.639961
908
10,260
6.569383
0.092511
0.100587
0.064376
0.067058
0.949874
0.949874
0.949874
0.949874
0.949874
0.949874
0
0.00685
0.288596
10,260
251
66
40.876494
0.810385
0.0346
0
0.957265
0
0
0.603689
0.562538
0
0
0
0
0
1
0.008547
false
0
0.008547
0
0.017094
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
9
cc237477fe9f6f14cc35347d43bfe82e1cc6f0e5
27
py
Python
pcep/prac_15.py
gliverm/devnet-study-group
28aecef8207cfeb8f10dc375c22e5ec953d6762b
[ "MIT" ]
1
2020-07-30T15:23:55.000Z
2020-07-30T15:23:55.000Z
pcep/prac_15.py
gliverm/devnet-study-group
28aecef8207cfeb8f10dc375c22e5ec953d6762b
[ "MIT" ]
null
null
null
pcep/prac_15.py
gliverm/devnet-study-group
28aecef8207cfeb8f10dc375c22e5ec953d6762b
[ "MIT" ]
null
null
null
x = 1 // 5 + 1 / 5 print(x)
13.5
18
0.407407
7
27
1.571429
0.571429
0.363636
0
0
0
0
0
0
0
0
0
0.222222
0.333333
27
2
19
13.5
0.388889
0
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0
0
0
0.5
1
1
1
null
1
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
8
0bcf303aa7be7aa06c7ec27ca17cca503d137b38
637
py
Python
src/real_world/__init__.py
yotaro-shimose/cprl-solver
c50a9c101340a0629b6f09015b8dc33318ce081b
[ "MIT" ]
null
null
null
src/real_world/__init__.py
yotaro-shimose/cprl-solver
c50a9c101340a0629b6f09015b8dc33318ce081b
[ "MIT" ]
null
null
null
src/real_world/__init__.py
yotaro-shimose/cprl-solver
c50a9c101340a0629b6f09015b8dc33318ce081b
[ "MIT" ]
null
null
null
from src.real_world.conversion import REAL_X_RANGE from src.real_world.conversion import REAL_Y_RANGE from src.real_world.conversion import VEHICLE_SPEED from src.real_world.conversion import EIGHT_HOURS from src.real_world.conversion import calc_xy from src.real_world.conversion import calc_lat_lon from src.real_world...
45.5
61
0.8854
105
637
5.057143
0.247619
0.158192
0.248588
0.361582
0.911488
0.896422
0.836158
0.485876
0
0
0
0
0.076923
637
13
62
49
0.903061
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
0
0
0
null
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
8
f0a8a862eeeaf5cf264884fa309aeb26f589d352
1,096
py
Python
foolbox/tests/test_attacks_saliency.py
schoyc/foolbox
e0f400be8fa393467d3db598576e985727edb310
[ "MIT" ]
4
2021-01-07T12:33:36.000Z
2022-03-12T07:16:43.000Z
foolbox/tests/test_attacks_saliency.py
alvarorobledo/foolbox
25d995b1a50f4926e07bc51877d385c0518982f8
[ "MIT" ]
null
null
null
foolbox/tests/test_attacks_saliency.py
alvarorobledo/foolbox
25d995b1a50f4926e07bc51877d385c0518982f8
[ "MIT" ]
1
2021-02-26T10:04:20.000Z
2021-02-26T10:04:20.000Z
import numpy as np from foolbox.attacks import SaliencyMapAttack as Attack def test_attack(bn_adversarial): adv = bn_adversarial attack = Attack() attack(adv) assert adv.image is not None assert adv.distance.value < np.inf def test_attack_random_targets(bn_adversarial): adv = bn_adversarial...
24.909091
55
0.734489
155
1,096
4.980645
0.225806
0.15544
0.163212
0.187824
0.800518
0.800518
0.800518
0.800518
0.800518
0.712435
0
0.002268
0.195255
1,096
43
56
25.488372
0.873016
0
0
0.6875
0
0
0
0
0
0
0
0
0.3125
1
0.15625
false
0
0.0625
0
0.21875
0
0
0
0
null
0
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
f0d83df0bf59b9566c6542856507188d452c5f20
16,222
py
Python
microtvm_device/microDevice_pb2_grpc.py
mehrdadh/microtvm-device
50c0ea616184e6fda2bf0266443555124f509415
[ "Apache-2.0" ]
1
2022-01-20T23:10:03.000Z
2022-01-20T23:10:03.000Z
microtvm_device/microDevice_pb2_grpc.py
mehrdadh/microtvm-device
50c0ea616184e6fda2bf0266443555124f509415
[ "Apache-2.0" ]
null
null
null
microtvm_device/microDevice_pb2_grpc.py
mehrdadh/microtvm-device
50c0ea616184e6fda2bf0266443555124f509415
[ "Apache-2.0" ]
null
null
null
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! """Client and server classes corresponding to protobuf-defined services.""" import grpc from microtvm_device import microDevice_pb2 as microtvm__device_dot_microDevice__pb2 class RPCRequestStub(object): """The device request service. """ ...
48.423881
112
0.685612
1,377
16,222
7.691358
0.078431
0.074025
0.088283
0.145406
0.839581
0.801624
0.795581
0.757813
0.747427
0.747427
0
0.004584
0.246949
16,222
334
113
48.568862
0.862394
0.05024
0
0.691489
1
0
0.089027
0.054148
0
0
0
0
0
1
0.070922
false
0
0.007092
0.031915
0.120567
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
f0dfbab4d38fe0fb18143dc099ce0698fb6d59a6
15,638
py
Python
src/stats/mle.py
valevo/thesis
6671fa7ed8aefd3e89fd29ee97fa31a3c4315868
[ "MIT" ]
1
2018-07-07T11:40:49.000Z
2018-07-07T11:40:49.000Z
src/stats/mle.py
valevo/Thesis
6671fa7ed8aefd3e89fd29ee97fa31a3c4315868
[ "MIT" ]
null
null
null
src/stats/mle.py
valevo/Thesis
6671fa7ed8aefd3e89fd29ee97fa31a3c4315868
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- import statsmodels.api as sm from statsmodels.base.model import GenericLikelihoodModel,\ GenericLikelihoodModelResults from statsmodels.nonparametric.smoothers_lowess import lowess from scipy.special import zeta from scipy.stats import binom import pickle import numpy as np lg = np....
29.957854
94
0.542844
1,893
15,638
4.330692
0.098785
0.059283
0.047573
0.019761
0.846304
0.836546
0.820444
0.820444
0.820444
0.814711
0
0.009995
0.347423
15,638
521
95
30.015355
0.793337
0.027881
0
0.81672
0
0
0.085001
0
0.057878
0
0
0
0
1
0.109325
false
0
0.022508
0.025723
0.257235
0.019293
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
0b1ae7f35ecd7f6d7d518a57d1b89adf09a51d7b
12,580
py
Python
mvpa_itab/script/carlo/mdm/supplementary_analysis.py
robbisg/mvpa_itab_wu
e3cdb198a21349672f601cd34381e0895fa6484c
[ "MIT" ]
1
2022-01-12T08:59:22.000Z
2022-01-12T08:59:22.000Z
mvpa_itab/script/carlo/mdm/supplementary_analysis.py
robbisg/mvpa_itab_wu
e3cdb198a21349672f601cd34381e0895fa6484c
[ "MIT" ]
46
2016-08-04T14:49:37.000Z
2022-03-09T08:47:48.000Z
mvpa_itab/script/carlo/mdm/supplementary_analysis.py
robbisg/mvpa_itab_wu
e3cdb198a21349672f601cd34381e0895fa6484c
[ "MIT" ]
null
null
null
_default_options = [ { 'target_transformer__attr': "image_type", 'sample_slicer__attr': {'image_type':["I", "O"]}, 'balancer__balancer': RandomUnderSampler(sampling_strategy={"I": 40, "O": 40}, return_indices=True), ...
47.651515
137
0.392925
857
12,580
5.389732
0.150525
0.044815
0.048712
0.109115
0.861658
0.854081
0.820957
0.80407
0.790864
0.781338
0
0.023653
0.445469
12,580
264
138
47.651515
0.638475
0
0
0.578947
0
0
0.243152
0.04874
0
0
0
0
0
0
null
null
0
0.010526
null
null
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
7
9be6338f37cf8637471dd7c68fb4d9579fd3d4f0
29,423
py
Python
chordToFinger.py
highmore9501/fretDance
6a1ec2e378bc9d510030209f6218f7bc7e1bbf0a
[ "WTFPL" ]
1
2021-12-03T04:11:50.000Z
2021-12-03T04:11:50.000Z
chordToFinger.py
highmore9501/fretDance
6a1ec2e378bc9d510030209f6218f7bc7e1bbf0a
[ "WTFPL" ]
null
null
null
chordToFinger.py
highmore9501/fretDance
6a1ec2e378bc9d510030209f6218f7bc7e1bbf0a
[ "WTFPL" ]
null
null
null
from calculate import arrangeNotesInChord def copyNewDancer(dancer): """ 复制原来的dancer,并且把手指都抬起来 :param dancer: :return: """ import copy newDancer = copy.deepcopy(dancer) newDancer.releaseFingers() return newDancer def getChordList(chordPosition): """ 处理和弦音符位置chordPosition,...
38.612861
117
0.652925
3,134
29,423
6.129866
0.05903
0.027328
0.074332
0.033314
0.833169
0.789131
0.769351
0.747853
0.734111
0.705013
0
0.056402
0.221459
29,423
761
118
38.663601
0.78225
0.088332
0
0.804388
0
0
0.004308
0
0
0
0
0
0
1
0.063985
false
0
0.007313
0
0.135283
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
5063878c38951547f1732f5eb79c268a5506d85d
374
py
Python
skpalm/multivariate_methods.py
jameschapman19/scikit-palm
7bd7add33181ccd27c79a604957d48fd0576e1bc
[ "BSD-3-Clause" ]
4
2022-03-03T16:20:06.000Z
2022-03-03T16:20:19.000Z
skpalm/multivariate_methods.py
jameschapman19/scikit-palm
7bd7add33181ccd27c79a604957d48fd0576e1bc
[ "BSD-3-Clause" ]
null
null
null
skpalm/multivariate_methods.py
jameschapman19/scikit-palm
7bd7add33181ccd27c79a604957d48fd0576e1bc
[ "BSD-3-Clause" ]
null
null
null
def fasttsq(M,psi,Y,y,m,c,o,plm): #TODO raise NotImplementedError def fasttsq3d(M,psi,Y,y,m,c,o,plm): #TODO raise NotImplementedError def fasttsqp(M,psi,Y,y,m,c,o,plm): #TODO raise NotImplementedError def fastq(M,psi,Y,y,m,c,o,plm): #TODO raise NotImplementedError def fastq3d(M,psi,Y...
19.684211
35
0.671123
65
374
3.861538
0.230769
0.079681
0.099602
0.119522
0.844622
0.844622
0.844622
0.844622
0.844622
0.844622
0
0.006536
0.181818
374
19
36
19.684211
0.813725
0.053476
0
0.5
0
0
0
0
0
0
0
0.052632
0
1
0.5
false
0
0
0
0.5
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
1
0
0
1
0
0
0
0
0
0
0
8
ac97e373e0555ac7ac85cfc3dffb17e36dc98181
209
py
Python
django_shopping_cart/context_processors.py
arcanemachine/django-shopping-cart
99e464f856c6605077d77f13e692bfba40f09e6c
[ "MIT" ]
null
null
null
django_shopping_cart/context_processors.py
arcanemachine/django-shopping-cart
99e464f856c6605077d77f13e692bfba40f09e6c
[ "MIT" ]
null
null
null
django_shopping_cart/context_processors.py
arcanemachine/django-shopping-cart
99e464f856c6605077d77f13e692bfba40f09e6c
[ "MIT" ]
null
null
null
from django_shopping_cart import server_config def constants(request): return {'PROJECT_NAME': server_config.PROJECT_NAME, 'FRONTEND_SERVER_LOCATION': server_config.FRONTEND_SERVER_LOCATION}
29.857143
79
0.794258
25
209
6.2
0.6
0.232258
0.283871
0
0
0
0
0
0
0
0
0
0.138756
209
6
80
34.833333
0.861111
0
0
0
0
0
0.172249
0.114833
0
0
0
0
0
1
0.25
false
0
0.25
0.25
0.75
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
7
acd891e26d6d8044a7b68d2ef8d6b58e4949b206
4,129
py
Python
pronunciation.py
radomd92/botjagwar
1dc96600c40041057a9f9afde38c31ca34b8db38
[ "MIT" ]
7
2015-01-23T17:24:04.000Z
2022-01-12T16:54:24.000Z
pronunciation.py
radomd92/botjagwar
1dc96600c40041057a9f9afde38c31ca34b8db38
[ "MIT" ]
18
2017-12-09T01:11:23.000Z
2021-09-22T13:26:24.000Z
pronunciation.py
radomd92/botjagwar
1dc96600c40041057a9f9afde38c31ca34b8db38
[ "MIT" ]
1
2015-06-22T02:17:55.000Z
2015-06-22T02:17:55.000Z
import re import sys import pywikibot from page_lister import get_pages_from_category def replace_pronunciation_template(language, language_name): for mg_page in get_pages_from_category('mg', language_name): old_content = mg_content = mg_page.get() print('>>>>', mg_page.title(), '<<<<') ...
35.290598
77
0.503027
424
4,129
4.646226
0.15566
0.091371
0.08934
0.063959
0.875635
0.875635
0.875635
0.845178
0.845178
0.845178
0
0.002663
0.363284
4,129
116
78
35.594828
0.746672
0
0
0.861386
0
0
0.13829
0.0155
0
0
0
0
0
1
0.029703
false
0
0.039604
0
0.069307
0.138614
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
acff644ffa6634f204877086a03c7e8b4d2271b4
3,032
py
Python
tests/applications/test_forms.py
crydotsnake/djangogirls
0e764294085d6d7d3c4f61a7fe36f91640abedcd
[ "BSD-3-Clause" ]
446
2015-01-04T20:58:26.000Z
2022-03-30T23:08:26.000Z
tests/applications/test_forms.py
serenasensini/TheRedCode_Docker-per-Django-e-Postgres
78a2ca1f09ab956a6936d14a5fd99336ff39f472
[ "BSD-3-Clause" ]
649
2015-01-09T23:42:14.000Z
2022-03-31T17:27:19.000Z
tests/applications/test_forms.py
serenasensini/TheRedCode_Docker-per-Django-e-Postgres
78a2ca1f09ab956a6936d14a5fd99336ff39f472
[ "BSD-3-Clause" ]
319
2015-01-06T20:58:42.000Z
2022-03-30T06:29:04.000Z
import pytest import vcr from applications.forms import ApplicationForm from applications.models import Application, Form, Question from core.models import Event @pytest.mark.django_db @vcr.use_cassette('tests/applications/vcr/application_form_prevent_duplicate_emails.yaml') def test_application_form_prevent_duplica...
30.32
90
0.697559
372
3,032
5.489247
0.198925
0.124878
0.058766
0.071009
0.904995
0.894221
0.894221
0.894221
0.868756
0.868756
0
0.002836
0.186016
3,032
99
91
30.626263
0.824554
0.051121
0
0.716216
0
0
0.176471
0.087365
0
0
0
0
0.148649
1
0.040541
false
0.040541
0.067568
0
0.108108
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
4a23886a570384a4d6bea6cd8d18e1ef0b7eb705
66,657
py
Python
src/instructions.py
hansbonini/pynes-dev
aa5d04de0a1beb6afb93219ffc9f63e83b3907a0
[ "MIT" ]
null
null
null
src/instructions.py
hansbonini/pynes-dev
aa5d04de0a1beb6afb93219ffc9f63e83b3907a0
[ "MIT" ]
null
null
null
src/instructions.py
hansbonini/pynes-dev
aa5d04de0a1beb6afb93219ffc9f63e83b3907a0
[ "MIT" ]
null
null
null
import addrmodes # TODO: Verificar se nao existem enderecamentos maiores que 1 byte def rel_addr(value): if value & 0b10000000: value &= 0b1111111 value -= 128 return value def advancePC(cpu, size): cpu.registers['PC'] += size def setN(cpu, value): if value & (1 << 7) == 1 << 7: ...
21.578828
72
0.599052
8,763
66,657
4.510328
0.018144
0.0735
0.096701
0.071729
0.983909
0.979405
0.968804
0.959619
0.950739
0.940391
0
0.026326
0.260888
66,657
3,088
73
21.585816
0.775915
0.002955
0
0.893021
0
0
0.00781
0
0
0
0.016403
0.000324
0
1
0.089428
false
0
0.000418
0
0.177183
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
c5cd8e4a73d0e99731d3ac0698cf3b746e2a517f
3,887
py
Python
graphtheory/independentsets/isetus.py
gitter-badger/graphs-dict
2be1a5b140feb050eec799d6cadf6de5eef01745
[ "BSD-3-Clause" ]
36
2015-09-20T20:55:39.000Z
2021-09-20T05:49:03.000Z
graphtheory/independentsets/isetus.py
gitter-badger/graphs-dict
2be1a5b140feb050eec799d6cadf6de5eef01745
[ "BSD-3-Clause" ]
6
2016-03-25T21:41:46.000Z
2020-02-12T03:18:59.000Z
graphtheory/independentsets/isetus.py
gitter-badger/graphs-dict
2be1a5b140feb050eec799d6cadf6de5eef01745
[ "BSD-3-Clause" ]
9
2016-09-12T07:57:27.000Z
2022-03-21T16:15:39.000Z
#!/usr/bin/python # Tutaj _used i independent_set jest typu set. class UnorderedSequentialIndependentSet1: """Find a maximal independent set.""" def __init__(self, graph): """The algorithm initialization.""" if graph.is_directed(): raise ValueError("the graph is directed") ...
35.336364
85
0.59326
423
3,887
5.375887
0.144208
0.083113
0.062885
0.07124
0.902375
0.902375
0.860598
0.843448
0.80387
0.78628
0
0.003358
0.310522
3,887
109
86
35.66055
0.845149
0.124003
0
0.91358
0
0
0.03222
0
0
0
0
0
0
1
0.074074
false
0
0
0
0.111111
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
c5ddd6ab107c7babde3d565d7d78a1ec5b21b427
5,211
py
Python
trainer/models/sisr/models.py
jason-zl190/sisr
2415d28333c94602c52be9c314a8044165d992cf
[ "Apache-2.0" ]
2
2019-12-15T17:12:46.000Z
2019-12-15T21:09:31.000Z
trainer/models/sisr/models.py
jason-zl190/sisr
2415d28333c94602c52be9c314a8044165d992cf
[ "Apache-2.0" ]
null
null
null
trainer/models/sisr/models.py
jason-zl190/sisr
2415d28333c94602c52be9c314a8044165d992cf
[ "Apache-2.0" ]
1
2020-12-15T15:30:12.000Z
2020-12-15T15:30:12.000Z
import tensorflow as tf class MySRResNet(): def __init__(self, shape=(None, None, 3)): self.shape = shape def __call__(self): input_tensor = tf.keras.layers.Input(shape=self.shape) x1 = tf.keras.layers.Conv2D(64, 9, padding='same')(input_tensor) x1 = tf.keras.layers.PReLU(alpha_initializer='z...
41.357143
85
0.545769
681
5,211
4.10279
0.116006
0.162849
0.293128
0.295634
0.873658
0.858626
0.849678
0.774517
0.76378
0.739442
0
0.07206
0.304932
5,211
125
86
41.688
0.699337
0.059298
0
0.658537
0
0
0.02846
0
0
0
0
0
0
1
0.04878
false
0
0.012195
0
0.109756
0
0
0
0
null
0
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
c5eb20117b1c3cd69cace5fcbb70f1689e81a753
3,369
py
Python
src/huobi/coin_swap/rest/trigger_order.py
hbdmapi/huobi_sdk_Python
a4ee876f947011fb5d66da32853cb3a21d852a4b
[ "MIT" ]
1
2022-03-13T16:55:34.000Z
2022-03-13T16:55:34.000Z
src/huobi/coin_swap/rest/trigger_order.py
hbdmapi/huobi_sdk_Python
a4ee876f947011fb5d66da32853cb3a21d852a4b
[ "MIT" ]
null
null
null
src/huobi/coin_swap/rest/trigger_order.py
hbdmapi/huobi_sdk_Python
a4ee876f947011fb5d66da32853cb3a21d852a4b
[ "MIT" ]
null
null
null
import json from huobi.utils.http import post from huobi.host import HOST_FUTURES class TriggerOrder: def __init__(self, access_key: str, secret_key: str, host: str = HOST_FUTURES): self.__access_key = access_key self.__secret_key = secret_key self.__host = host def order(self, data:...
44.328947
83
0.678836
487
3,369
4.271047
0.082136
0.082212
0.1125
0.155288
0.908173
0.897596
0.897596
0.897596
0.897596
0.897596
0
0.005946
0.201247
3,369
75
84
44.92
0.767001
0
0
0.285714
0
0
0.154052
0.154052
0
0
0
0
0
1
0.303571
false
0
0.053571
0
0.660714
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
8
6804b3cb6c9f1efa515626b9e2dcc1fb662edd9f
39,371
py
Python
python/dlxapi/api/projects_api.py
dlens/dlxapi
189a6519240ce625d7a9cdb89e305a335d2aa045
[ "MIT" ]
null
null
null
python/dlxapi/api/projects_api.py
dlens/dlxapi
189a6519240ce625d7a9cdb89e305a335d2aa045
[ "MIT" ]
1
2020-08-20T17:31:43.000Z
2020-08-20T17:31:43.000Z
python/dlxapi/api/projects_api.py
dlens/dlxapi
189a6519240ce625d7a9cdb89e305a335d2aa045
[ "MIT" ]
null
null
null
# coding: utf-8 """ Decision Lens API No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501 OpenAPI spec version: 1.0 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import impor...
41.884043
219
0.612126
4,530
39,371
5.071523
0.051656
0.048054
0.021938
0.028206
0.958127
0.943023
0.926003
0.908505
0.90067
0.890093
0
0.015631
0.299662
39,371
939
220
41.928648
0.817575
0.329684
0
0.772374
1
0
0.181551
0.044264
0
0
0
0
0
1
0.036965
false
0
0.007782
0
0.099222
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
6814a5a1d88be94a9967b39995dff7c2077e61e1
7,222
py
Python
tests/test_01_accept_negative_country_code_special.py
glushkovvv/test_2gis
2affff49411a3c7ff77e9d399ec86eb314aa3757
[ "MIT" ]
null
null
null
tests/test_01_accept_negative_country_code_special.py
glushkovvv/test_2gis
2affff49411a3c7ff77e9d399ec86eb314aa3757
[ "MIT" ]
1
2020-08-05T06:27:23.000Z
2020-08-05T06:27:42.000Z
tests/test_01_accept_negative_country_code_special.py
glushkovvv/test_2gis
2affff49411a3c7ff77e9d399ec86eb314aa3757
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """ test_01_accept_negative_country_code_special ~~~~~~~~~~~~~~ The 2GIS API Test Check negative country_code special character :author: Vadim Glushkov :copyright: Copyright 2019, The2GIS API Test" :license: MIT :version: 1.0.0 :maintainer: Vadim Glushkov :email: plussg@yandex.ru :status: Deve...
44.580247
119
0.692052
911
7,222
5.207464
0.170143
0.085793
0.043002
0.05312
0.839587
0.820405
0.813027
0.813027
0.813027
0.813027
0
0.011142
0.204652
7,222
161
120
44.857143
0.814763
0.163667
0
0.747475
0
0
0.338633
0.100812
0
0
0
0
0.080808
1
0.040404
false
0
0.080808
0
0.121212
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
a8521db91f2e1f2bef162abe392a5a5139dc8f51
6,407
py
Python
test/test_expected_results.py
ColemanTom/shellcov
d90bd9f0da89ef0b9e536140803fdce470d27479
[ "MIT" ]
null
null
null
test/test_expected_results.py
ColemanTom/shellcov
d90bd9f0da89ef0b9e536140803fdce470d27479
[ "MIT" ]
13
2020-07-12T09:34:41.000Z
2021-06-25T01:06:04.000Z
test/test_expected_results.py
ColemanTom/shellcov
d90bd9f0da89ef0b9e536140803fdce470d27479
[ "MIT" ]
null
null
null
from string import Template from shell_cov.shell_cov import FILLER ESCAPED_QUOTES = '\n'.join(s.strip() for s in r''' #!/bin/bash set -eux -o pipefail arg=$1 values=(1 2 3 4 5) echo "num values = ${#values[@]}" case "$arg" in 1|2|${#values[@]}) echo result!!! ;; 25) # do nothing here ;; *) ;; esa...
10.218501
62
0.520056
825
6,407
4.027879
0.088485
0.054168
0.035209
0.043334
0.931989
0.931989
0.931989
0.92266
0.917243
0.90009
0
0.020851
0.273919
6,407
626
63
10.234824
0.693465
0
0
0.829374
0
0
0.894803
0
0
0
0
0
0
1
0
false
0
0.00432
0
0.00432
0.012959
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
a895820b415560eabfdaafe75a0ecfddcddde49a
9,139
py
Python
applications/bestbukpl/controllers/read_coupon.py
lechu87/bbuk
34934040f70a6d3e6d15d7659411c6398732fb58
[ "BSD-3-Clause" ]
null
null
null
applications/bestbukpl/controllers/read_coupon.py
lechu87/bbuk
34934040f70a6d3e6d15d7659411c6398732fb58
[ "BSD-3-Clause" ]
null
null
null
applications/bestbukpl/controllers/read_coupon.py
lechu87/bbuk
34934040f70a6d3e6d15d7659411c6398732fb58
[ "BSD-3-Clause" ]
null
null
null
# -*- coding: utf-8 -*- # spróbój czegos takiego jak #read_coupon_fortuna_wo_sql=local_import('read_coupon_fortuna_wo_sql_27') #from read_coupon_fortuna_wo_sql local_import read_coupon import subprocess import re from collections import defaultdict def index(): return dict(message="hello from read_coupon.py") def test...
65.748201
1,581
0.636831
1,547
9,139
3.475113
0.108597
0.042411
0.030134
0.020461
0.932478
0.930246
0.919829
0.916667
0.910342
0.894345
0
0.045048
0.13043
9,139
138
1,582
66.224638
0.631433
0.259328
0
0.831461
0
0
0.241892
0.014281
0
0
0
0
0
1
0.033708
false
0
0.033708
0.011236
0.089888
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
1
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
a8c5c8070b1badb3f215de596de252e2fa11f159
160
py
Python
Models/Model_1/ResNet/__init__.py
akanimax/toxic-comment-identification-tensorflow
a1d065639d8b518c0ac1dc53e98e09642e258bb6
[ "MIT" ]
null
null
null
Models/Model_1/ResNet/__init__.py
akanimax/toxic-comment-identification-tensorflow
a1d065639d8b518c0ac1dc53e98e09642e258bb6
[ "MIT" ]
null
null
null
Models/Model_1/ResNet/__init__.py
akanimax/toxic-comment-identification-tensorflow
a1d065639d8b518c0ac1dc53e98e09642e258bb6
[ "MIT" ]
null
null
null
""" This package contains the code for the first model to be trained for this problem """ from __future__ import print_function from __future__ import division
32
85
0.80625
24
160
5
0.75
0.166667
0.266667
0
0
0
0
0
0
0
0
0
0.15625
160
5
86
32
0.888889
0.50625
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0.5
1
0
0
null
0
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
1
0
7
7656fe442f4b5448c8efa639987f559228291109
45
py
Python
projects/faces/landmark/landmark/__init__.py
Bingwen-Hu/hackaway
69727d76fd652390d9660e9ea4354ba5cc76dd5c
[ "BSD-2-Clause" ]
null
null
null
projects/faces/landmark/landmark/__init__.py
Bingwen-Hu/hackaway
69727d76fd652390d9660e9ea4354ba5cc76dd5c
[ "BSD-2-Clause" ]
null
null
null
projects/faces/landmark/landmark/__init__.py
Bingwen-Hu/hackaway
69727d76fd652390d9660e9ea4354ba5cc76dd5c
[ "BSD-2-Clause" ]
null
null
null
from .api import detect from .api import show
22.5
23
0.8
8
45
4.5
0.625
0.388889
0.722222
0
0
0
0
0
0
0
0
0
0.155556
45
2
24
22.5
0.947368
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
8
76746358001a7533446098f9eddc1122638f9f6f
163,522
py
Python
Aci_Cal_Toolkit.py
riccardo123github/ACI-Python-Scripts-Automation
b3bd986628c9c7753345acab2fdf48f13d6580fa
[ "Apache-2.0" ]
1
2021-08-02T09:00:25.000Z
2021-08-02T09:00:25.000Z
Aci_Cal_Toolkit.py
riccardo123github/ACI-Python-Scripts-Automation
b3bd986628c9c7753345acab2fdf48f13d6580fa
[ "Apache-2.0" ]
null
null
null
Aci_Cal_Toolkit.py
riccardo123github/ACI-Python-Scripts-Automation
b3bd986628c9c7753345acab2fdf48f13d6580fa
[ "Apache-2.0" ]
null
null
null
import requests import json import sys import collections import jinja2 import ipaddress import time import re import urllib3 urllib3.disable_warnings() # Global options for debugging PRINT_PAYLOAD = True # flag variable to avoid pushing anything to APIC PUSH_TO_APIC = False PRINT_RESPONSE_TEXT_ALWAYS = False PRINT_RE...
39.603294
113
0.571874
17,876
163,522
5.100694
0.045592
0.041193
0.021222
0.023031
0.845109
0.822724
0.802676
0.769829
0.752314
0.740009
0
0.005253
0.313199
163,522
4,128
114
39.612888
0.806628
0.208675
0
0.739591
0
0.000757
0.146601
0.026079
0
0
0
0
0
1
0.046177
false
0.001514
0.003407
0
0.10106
0.01022
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
76b0828bdb515a10a405cd66bbfdae971b8d70ff
11,381
py
Python
test/test_bit4id_pathgroup_tokens_api.py
signingtoday/signingtoday-sdk-python
ed267279622fb59f2ad8fa289157fc9cdf9d8a5b
[ "MIT" ]
null
null
null
test/test_bit4id_pathgroup_tokens_api.py
signingtoday/signingtoday-sdk-python
ed267279622fb59f2ad8fa289157fc9cdf9d8a5b
[ "MIT" ]
null
null
null
test/test_bit4id_pathgroup_tokens_api.py
signingtoday/signingtoday-sdk-python
ed267279622fb59f2ad8fa289157fc9cdf9d8a5b
[ "MIT" ]
null
null
null
# coding: utf-8 """ Signing Today API KlNpZ25pbmcgVG9kYXkqIGVuYWJsZXMgc2VhbWxlc3MgaW50ZWdyYXRpb24gb2YgZGlnaXRhbCBzaWduYXR1cmVzIGludG8gYW55CndlYnNpdGUgYnkgdGhlIHVzZSBvZiBlYXN5IHJlcXVlc3RzIHRvIG91ciBBUEkuIFRoaXMgaXMgdGhlIHNtYXJ0IHdheSBvZgphZGRpbmcgZGlnaXRhbCBzaWduYXR1cmUgc3VwcG9ydCB3aXRoIGEgZ3JlYXQgdXNlciBleHBl...
147.805195
9,710
0.947281
212
11,381
50.632075
0.353774
0.006708
0.006149
0.008385
0.040246
0.029253
0.008385
0.008385
0
0
0
0.092991
0.040945
11,381
76
9,711
149.75
0.890426
0.911431
0
0.291667
0
0
0.009512
0
0
1
0
0
0
1
0.333333
false
0.291667
0.208333
0
0.583333
0
0
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
0
1
0
0
0
0
0
0
null
1
0
0
0
0
1
0
1
0
0
0
0
0
7
76b4d0b34d7b28bd583415a7e40328035d0120e4
9,642
py
Python
src/rose-upset.py
MountainMan12/rose2018ng-notebook
2c907f0d599a50c23c487984e6a0fe0364d3651b
[ "MIT" ]
8
2019-09-20T15:47:54.000Z
2021-11-01T02:05:17.000Z
src/rose-upset.py
MountainMan12/rose2018ng-notebook
2c907f0d599a50c23c487984e6a0fe0364d3651b
[ "MIT" ]
9
2020-03-24T16:53:29.000Z
2022-01-13T01:07:07.000Z
src/rose-upset.py
MountainMan12/rose2018ng-notebook
2c907f0d599a50c23c487984e6a0fe0364d3651b
[ "MIT" ]
3
2020-07-18T20:42:43.000Z
2021-04-14T11:31:42.000Z
from matplotlib import pyplot as plt import pandas as pd import os, errno from upsetplot import plot __author__ = 'proccaserra (Philippe Rocca-Serra)' # author: philippe rocca-serra (philippe.rocca-serra@oerc.ox.ac.uk) # ontology: http://www.stato-ontology.org try: if not os.path.exists('../figures/denovo'): ...
143.910448
994
0.841423
1,386
9,642
5.407648
0.142857
0.008806
0.017078
0.019079
0.874049
0.86004
0.86004
0.86004
0.86004
0.851768
0
0.025865
0.025617
9,642
66
995
146.090909
0.7719
0.663866
0
0
0
0
0.573959
0.04941
0
0
0
0
0
1
0
false
0
0.148148
0
0.148148
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
8c2426a84797c502fcc929baad7471df602059cf
2,788
py
Python
musket_core/tests/decl_test.py
dreamflyer/musket_core
1bdf1b4715a3b5c63bf687799d7b977fdf49053f
[ "MIT" ]
1
2019-04-12T13:46:53.000Z
2019-04-12T13:46:53.000Z
musket_core/tests/decl_test.py
dreamflyer/musket_core
1bdf1b4715a3b5c63bf687799d7b977fdf49053f
[ "MIT" ]
5
2018-12-12T11:49:05.000Z
2019-04-30T14:23:54.000Z
musket_core/tests/decl_test.py
dreamflyer/musket_core
1bdf1b4715a3b5c63bf687799d7b977fdf49053f
[ "MIT" ]
null
null
null
import unittest from musket_core import net_declaration import keras import os fl=__file__ fl=os.path.dirname(fl) class TestStringMethods(unittest.TestCase): def testNetCreation(self): m1 = net_declaration.create_model(os.path.join(fl,"../examples/conditional.yaml"), keras.layers.Input((200,...
58.083333
149
0.656385
385
2,788
4.654545
0.14026
0.122768
0.178571
0.212054
0.835938
0.823103
0.823103
0.805804
0.805804
0.683036
0
0.075623
0.151004
2,788
47
150
59.319149
0.681453
0
0
0.238095
0
0
0.155053
0.155053
0
0
0
0
0.02381
1
0.02381
false
0
0.095238
0
0.142857
0.357143
0
0
0
null
0
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
8c25bd57ed3da7922c216569e07e63070966c580
64,374
py
Python
doajtest/unit/test_tasks_ingestDOAJarticles.py
DOAJ/doaj
b11f163c48f51f9e3ada2b02c617b50b847dcb4c
[ "Apache-2.0" ]
47
2015-04-24T13:13:39.000Z
2022-03-06T03:22:42.000Z
doajtest/unit/test_tasks_ingestDOAJarticles.py
DOAJ/doaj
b11f163c48f51f9e3ada2b02c617b50b847dcb4c
[ "Apache-2.0" ]
1,215
2015-01-02T14:29:38.000Z
2022-03-28T14:19:13.000Z
doajtest/unit/test_tasks_ingestDOAJarticles.py
DOAJ/doaj
b11f163c48f51f9e3ada2b02c617b50b847dcb4c
[ "Apache-2.0" ]
14
2015-11-27T13:01:23.000Z
2021-05-21T07:57:23.000Z
from doajtest.helpers import DoajTestCase from lxml import etree from doajtest.mocks.bll_article import BLLArticleMockFactory from doajtest.mocks.ftp import FTPMockFactory from doajtest.mocks.file import FileMockFactory from doajtest.mocks.response import ResponseMockFactory from doajtest.mocks.xwalk import XwalkMockF...
35.023939
184
0.646068
7,686
64,374
5.246032
0.052563
0.053322
0.012946
0.020337
0.879591
0.854344
0.834974
0.827683
0.817638
0.815084
0
0.023768
0.249045
64,374
1,838
184
35.023939
0.81031
0.07531
0
0.850863
0
0
0.080079
0.013562
0
0
0
0
0.240973
1
0.047881
false
0
0.025903
0.000785
0.075353
0.000785
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
8c2c1ec4b686fc5b8d49ee878e10b181b38634a5
2,460
py
Python
pcdet/models/backbones_3d/vfe/fusion_vfe.py
HenryLittle/OpenPCDet-HL
7dba01750e10d170849314723ec0665782236a70
[ "Apache-2.0" ]
null
null
null
pcdet/models/backbones_3d/vfe/fusion_vfe.py
HenryLittle/OpenPCDet-HL
7dba01750e10d170849314723ec0665782236a70
[ "Apache-2.0" ]
null
null
null
pcdet/models/backbones_3d/vfe/fusion_vfe.py
HenryLittle/OpenPCDet-HL
7dba01750e10d170849314723ec0665782236a70
[ "Apache-2.0" ]
null
null
null
import torch from .vfe_template import VFETemplate from .image_vfe import ImageVFE from .mean_vfe import MeanVFE from .image_vfe_modules.resnet import HookedResNet from .image_vfe_modules.maskrcnn import HookedMaskRCNN class ImageMaskRCNNVFE(VFETemplate): def __init__(self, model_cfg, point_cloud_range, num_point...
34.647887
83
0.671951
327
2,460
4.66055
0.198777
0.106299
0.104987
0.052493
0.828084
0.828084
0.828084
0.828084
0.828084
0.828084
0
0
0.231707
2,460
71
84
34.647887
0.806349
0.075203
0
0.791667
0
0
0.029062
0
0
0
0
0
0
1
0.125
false
0
0.125
0.041667
0.375
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
8c374c289c498d77021f4ba74421169e4595ab8b
201
py
Python
abmarl/pols/__init__.py
Leonardo767/Abmarl
9fada5447b09174c6a70b6032b4a8d08b66c4589
[ "Apache-2.0" ]
7
2020-11-13T01:33:44.000Z
2021-03-05T14:30:34.000Z
abmarl/pols/__init__.py
Leonardo767/Abmarl
9fada5447b09174c6a70b6032b4a8d08b66c4589
[ "Apache-2.0" ]
91
2020-11-04T23:34:30.000Z
2021-06-08T17:18:00.000Z
abmarl/pols/__init__.py
Leonardo767/Abmarl
9fada5447b09174c6a70b6032b4a8d08b66c4589
[ "Apache-2.0" ]
6
2021-07-12T19:28:51.000Z
2022-03-01T00:50:02.000Z
from .abstract_policy import HeuristicPolicy from .random_policy import RandomAction from .policy import GreedyPolicy from .policy import EpsilonSoftPolicy from .policy import RandomFirstActionPolicy
28.714286
44
0.870647
22
201
7.863636
0.454545
0.346821
0.277457
0
0
0
0
0
0
0
0
0
0.104478
201
6
45
33.5
0.961111
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
4feebec3c8e434a205b70e180501d0deac39326b
9,659
py
Python
tests/integration/test_kpi_smart_gap_mode.py
JLSteenwyk/ClipKIT
b2d6033e638a78acc36942f9f420d5d3bc0e09ad
[ "MIT" ]
28
2020-06-11T14:06:15.000Z
2022-03-14T04:32:12.000Z
tests/integration/test_kpi_smart_gap_mode.py
JLSteenwyk/ClipKIT
b2d6033e638a78acc36942f9f420d5d3bc0e09ad
[ "MIT" ]
10
2020-09-14T13:59:13.000Z
2022-02-25T17:17:01.000Z
tests/integration/test_kpi_smart_gap_mode.py
JLSteenwyk/ClipKIT
b2d6033e638a78acc36942f9f420d5d3bc0e09ad
[ "MIT" ]
1
2020-12-15T07:25:09.000Z
2020-12-15T07:25:09.000Z
import pytest from pathlib import Path from clipkit.clipkit import execute from clipkit.files import FileFormat from clipkit.modes import TrimmingMode here = Path(__file__) @pytest.mark.integration class TestKPISmartGapsMode(object): def test_simple_no_change(self): """ usage: clipkit simple.fa ...
32.96587
100
0.612693
1,145
9,659
4.844541
0.076856
0.081125
0.091942
0.023436
0.912025
0.900667
0.88967
0.8574
0.828376
0.815576
0
0.053392
0.298064
9,659
292
101
33.078767
0.764749
0.100735
0
0.728571
0
0
0.188852
0.166508
0
0
0
0
0.042857
1
0.042857
false
0
0.02381
0
0.071429
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
8b417e91638786abf14d781d658ff977d1a64c6c
170
py
Python
culturemesh/client/__init__.py
raydleemsc/flask_tests_workshop
4a90a4ac8a186874e63ae0dd531a331d2b9e4385
[ "CC-BY-4.0" ]
null
null
null
culturemesh/client/__init__.py
raydleemsc/flask_tests_workshop
4a90a4ac8a186874e63ae0dd531a331d2b9e4385
[ "CC-BY-4.0" ]
null
null
null
culturemesh/client/__init__.py
raydleemsc/flask_tests_workshop
4a90a4ac8a186874e63ae0dd531a331d2b9e4385
[ "CC-BY-4.0" ]
3
2021-09-20T20:14:42.000Z
2022-01-12T19:11:36.000Z
# # Import things to be discoverable at the package level. # """ Only the API Client should be discoverable """ from .client import Client from .client import Request
21.25
57
0.741176
24
170
5.25
0.625
0.222222
0.253968
0
0
0
0
0
0
0
0
0
0.188235
170
8
58
21.25
0.913043
0.588235
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
8c84d5b8991a0f487fe1c6aaaa1ea63c12b0c63e
85,841
py
Python
tests/parser/identifiers.6.test.py
veltri/DLV2
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
[ "Apache-2.0" ]
null
null
null
tests/parser/identifiers.6.test.py
veltri/DLV2
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
[ "Apache-2.0" ]
null
null
null
tests/parser/identifiers.6.test.py
veltri/DLV2
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
[ "Apache-2.0" ]
null
null
null
input = """ n(x4000). n(x3999). n(x3998). n(x3997). n(x3996). n(x3995). n(x3994). n(x3993). n(x3992). n(x3991). n(x3990). n(x3989). n(x3988). n(x3987). n(x3986). n(x3985). n(x3984). n(x3983). n(x3982). n(x3981). n(x3980). n(x3979). n(x3978). n(x3977). n(x3976). n(x3975). n(x3974). n(x3973). ...
10.720744
12
0.533649
16,006
85,841
2.861989
0.250156
0.000262
0.000306
0.000524
0.99976
0.99976
0.99976
0.99976
0.99976
0.99976
0
0.426671
0.186531
85,841
8,006
13
10.722083
0.229346
0
0
0.99975
0
0
0.999602
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
1
0
0
0
0
0
1
0
0
1
0
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
10
8c9d138dc32c21c945602b5eb99cf1c27e1b6119
124
py
Python
querio/service/exceptions/querio_file_error.py
Quer-io/Quer.io
381f4bf3fd505d35d0f10817322ff9072d453a18
[ "MIT" ]
null
null
null
querio/service/exceptions/querio_file_error.py
Quer-io/Quer.io
381f4bf3fd505d35d0f10817322ff9072d453a18
[ "MIT" ]
1
2018-10-31T18:29:36.000Z
2018-10-31T18:29:36.000Z
querio/service/exceptions/querio_file_error.py
Quer-io/Quer.io
381f4bf3fd505d35d0f10817322ff9072d453a18
[ "MIT" ]
1
2018-09-05T05:57:17.000Z
2018-09-05T05:57:17.000Z
class QuerioFileError(Exception): def __init__(self, *args, **kwargs): Exception.__init__(self, args, kwargs)
20.666667
46
0.685484
13
124
5.923077
0.615385
0.207792
0.311688
0.467532
0
0
0
0
0
0
0
0
0.185484
124
5
47
24.8
0.762376
0
0
0
0
0
0
0
0
0
0
0
0
1
0.333333
false
0
0
0
0.666667
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
7
8cc701e5a866060d94086eeff4f88f3b0cd515c6
11,146
py
Python
rb_tocase/rb_tocase.py
RickBarretto/toCase
13720f3bcef017951c76dc41ba0dbe0fb355b66a
[ "MIT" ]
3
2021-04-20T00:36:09.000Z
2022-01-10T06:34:59.000Z
rb_tocase/rb_tocase.py
RickBarretto/toCase
13720f3bcef017951c76dc41ba0dbe0fb355b66a
[ "MIT" ]
3
2022-01-10T07:27:25.000Z
2022-01-11T19:03:49.000Z
rb_tocase/rb_tocase.py
RickBarretto/toCase
13720f3bcef017951c76dc41ba0dbe0fb355b66a
[ "MIT" ]
null
null
null
import re class Case: def _CamelSep(string:str, sep:str): """ Don't use it!""" _list = string.split(sep) first = _list[0].lower() last = [] for i in _list[1:]: last.append(i.title()) last = "".join(last) result = str(first + last) return ...
33.074184
92
0.467701
1,204
11,146
4.280731
0.08804
0.034148
0.015134
0.037835
0.834692
0.805976
0.794335
0.790648
0.786962
0.715367
0
0.009997
0.398708
11,146
337
93
33.074184
0.759027
0.221784
0
0.775
0
0
0.05293
0
0
0
0
0
0
1
0.045
false
0
0.005
0
0.18
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
8cfdbb68d11cce80f3113cfdcf2bf122b322b8df
310
py
Python
src/__init__.py
davidkowalk/FunctionSynthesizer
8513ca8991679baf36c7edcbd4d5984ff2660bb9
[ "MIT" ]
3
2020-04-03T07:32:37.000Z
2020-09-18T15:02:48.000Z
src/__init__.py
davidkowalk/FunctionSynthesizer
8513ca8991679baf36c7edcbd4d5984ff2660bb9
[ "MIT" ]
null
null
null
src/__init__.py
davidkowalk/FunctionSynthesizer
8513ca8991679baf36c7edcbd4d5984ff2660bb9
[ "MIT" ]
null
null
null
from function_synthesizer.function_synthesizer import solve from function_synthesizer.function_synthesizer import solve_mixed from function_synthesizer.function_synthesizer import to_str from function_synthesizer.function_synthesizer import calculate from function_synthesizer.function_synthesizer import read
51.666667
65
0.919355
37
310
7.378378
0.27027
0.695971
0.421245
0.567766
0.915751
0.915751
0.388278
0
0
0
0
0
0.064516
310
5
66
62
0.941379
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
0
0
0
null
1
1
1
1
1
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
9
508be3617b2d7114b88649c6f8d40b1b5d603c02
29,344
py
Python
test/test_sampler_args.py
daikonradish/cmdstanpy
5645a6bad11edfecd28ede5e7798440b345f6994
[ "BSD-3-Clause" ]
null
null
null
test/test_sampler_args.py
daikonradish/cmdstanpy
5645a6bad11edfecd28ede5e7798440b345f6994
[ "BSD-3-Clause" ]
null
null
null
test/test_sampler_args.py
daikonradish/cmdstanpy
5645a6bad11edfecd28ede5e7798440b345f6994
[ "BSD-3-Clause" ]
null
null
null
import os import os.path import unittest from cmdstanpy import TMPDIR from cmdstanpy.lib import Model, SamplerArgs datafiles_path = os.path.join("test", "data") class SamplerArgsTest(unittest.TestCase): def test_args_min(self): stan = os.path.join(datafiles_path, 'bernoulli.stan') exe = os.path....
44.937213
142
0.550095
3,386
29,344
4.577377
0.037803
0.058068
0.096135
0.169172
0.932125
0.896832
0.867411
0.856765
0.828376
0.793729
0
0.022634
0.336014
29,344
652
143
45.006135
0.772839
0
0
0.717687
0
0.006803
0.116106
0.025082
0
0
0
0
0.117347
1
0.098639
false
0
0.008503
0
0.108844
0
0
0
0
null
0
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
50dd7cab01df657bc89561dbacb5af02edd08f0e
39
py
Python
src/lib/gettext.py
DTenore/skulpt
098d20acfb088d6db85535132c324b7ac2f2d212
[ "MIT" ]
2,671
2015-01-03T08:23:25.000Z
2022-03-31T06:15:48.000Z
src/lib/gettext.py
wakeupmuyunhe/skulpt
a8fb11a80fb6d7c016bab5dfe3712517a350b347
[ "MIT" ]
972
2015-01-05T08:11:00.000Z
2022-03-29T13:47:15.000Z
src/lib/gettext.py
wakeupmuyunhe/skulpt
a8fb11a80fb6d7c016bab5dfe3712517a350b347
[ "MIT" ]
845
2015-01-03T19:53:36.000Z
2022-03-29T18:34:22.000Z
import _sk_fail; _sk_fail._("gettext")
19.5
38
0.769231
6
39
4.166667
0.666667
0.48
0
0
0
0
0
0
0
0
0
0
0.076923
39
1
39
39
0.694444
0
0
0
0
0
0.179487
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
ba29544ad5b82cf4a7063da436df89f86b8bbe47
195
py
Python
v1.0.0.test/otp/uberdog/BanManager.py
TTOFFLINE-LEAK/ttoffline
bb0e91704a755d34983e94288d50288e46b68380
[ "MIT" ]
4
2019-07-01T15:46:43.000Z
2021-07-23T16:26:48.000Z
v1.0.0.test/otp/uberdog/BanManager.py
TTOFFLINE-LEAK/ttoffline
bb0e91704a755d34983e94288d50288e46b68380
[ "MIT" ]
1
2019-06-29T03:40:05.000Z
2021-06-13T01:15:16.000Z
v1.0.0.test/otp/uberdog/BanManager.py
TTOFFLINE-LEAK/ttoffline
bb0e91704a755d34983e94288d50288e46b68380
[ "MIT" ]
4
2019-07-28T21:18:46.000Z
2021-02-25T06:37:25.000Z
from direct.distributed.DistributedObjectGlobal import DistributedObjectGlobal from direct.directnotify.DirectNotifyGlobal import directNotify class BanManager(DistributedObjectGlobal): pass
39
78
0.887179
16
195
10.8125
0.625
0.115607
0
0
0
0
0
0
0
0
0
0
0.076923
195
5
79
39
0.961111
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0.25
0.5
0
0.75
0
1
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
1
1
0
1
0
0
7
e895c3d2f88572d8c5889ba28ad81aec2a42af4e
7,056
py
Python
train_exp.py
mk37972/SCAPE
01080e4159917546c76dd15ae5c74e092f4ae299
[ "MIT" ]
null
null
null
train_exp.py
mk37972/SCAPE
01080e4159917546c76dd15ae5c74e092f4ae299
[ "MIT" ]
null
null
null
train_exp.py
mk37972/SCAPE
01080e4159917546c76dd15ae5c74e092f4ae299
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Jul 14 15:36:15 2020 @author: mincheol """ from baselines import run import mpi4py ## Block (Position control approach) defaultargs = ['--alg=her','--env=Block-v1', '--num_timesteps=5e4'] for dim in [4]: for seed in [10,500,1000]: ...
41.751479
111
0.569728
767
7,056
5.076923
0.104302
0.061633
0.052388
0.061633
0.943503
0.939137
0.845917
0.777607
0.717257
0.674114
0
0.025796
0.247307
7,056
169
112
41.751479
0.7074
0.81661
0
0
0
0
0.191011
0.11236
0
0
0
0
0
1
0
false
0
0.166667
0
0.166667
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
e8ca6537b323322333c954356234837c4dd883e3
12,724
py
Python
comet_chaser_api/comet_utils/analyzer/entry_strategy.py
chung-ejy/comet_chaser_api
e18a4b65d606bcf5106cff5095b1a3134901abff
[ "MIT" ]
null
null
null
comet_chaser_api/comet_utils/analyzer/entry_strategy.py
chung-ejy/comet_chaser_api
e18a4b65d606bcf5106cff5095b1a3134901abff
[ "MIT" ]
null
null
null
comet_chaser_api/comet_utils/analyzer/entry_strategy.py
chung-ejy/comet_chaser_api
e18a4b65d606bcf5106cff5095b1a3134901abff
[ "MIT" ]
null
null
null
from cmath import nan import pandas as pd import pickle from database.comet_historian import CometHistorian import os from dotenv import load_dotenv load_dotenv() mongouser = os.getenv("MONGOUSER") mongokey = os.getenv("MONGOKEY") class EntryStrategy(object): @classmethod def entry_analysis(self,entry_strat,fi...
47.477612
130
0.478309
1,000
12,724
5.978
0.088
0.058883
0.092339
0.100368
0.846604
0.838742
0.836233
0.836233
0.833724
0.826865
0
0.005802
0.40404
12,724
268
131
47.477612
0.78254
0
0
0.773438
0
0
0.091238
0.004086
0
0
0
0
0
1
0.054688
false
0
0.023438
0
0.136719
0.003906
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
2cf2ff3d4fd1f56700dba8eeabbbb4b801afe191
37
py
Python
setka/__init__.py
RomanovMikeV/setka
cad6f17429a4bb3479c5557ad58c15fee568f410
[ "MIT" ]
11
2019-04-16T11:41:24.000Z
2021-05-28T15:01:17.000Z
setka/__init__.py
RomanovMikeV/cv_utilities
cad6f17429a4bb3479c5557ad58c15fee568f410
[ "MIT" ]
15
2019-12-05T22:25:37.000Z
2020-03-18T20:09:03.000Z
setka/__init__.py
RomanovMikeV/setka
cad6f17429a4bb3479c5557ad58c15fee568f410
[ "MIT" ]
6
2019-04-24T15:35:22.000Z
2021-08-10T07:48:39.000Z
import setka.base import setka.pipes
12.333333
18
0.837838
6
37
5.166667
0.666667
0.709677
0
0
0
0
0
0
0
0
0
0
0.108108
37
2
19
18.5
0.939394
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
fa4367eb975be64e534d7ddc18212c16a58d36eb
48,238
py
Python
models.py
subin2/LearningGroupStructure
c5af7880d7443f576ad3dbe4c1e0af7c34ddcbad
[ "MIT" ]
1
2018-12-04T06:29:59.000Z
2018-12-04T06:29:59.000Z
models.py
subin2/LearningGroupStructure
c5af7880d7443f576ad3dbe4c1e0af7c34ddcbad
[ "MIT" ]
null
null
null
models.py
subin2/LearningGroupStructure
c5af7880d7443f576ad3dbe4c1e0af7c34ddcbad
[ "MIT" ]
1
2018-12-04T06:48:54.000Z
2018-12-04T06:48:54.000Z
import numpy as np import tensorflow as tf class conv2d(object): def __init__(self, input, weight_size, strides=[1,1,1,1], padding='SAME', pool=None, pool_size=4, nonlinearity=None, use_dropout=True, keep_prob=1.0, use_batchnorm=True, std=0.01, offset=1e-10, scale=1, epsilon=1e-10, name='conv2d_de...
48.141717
217
0.580538
6,145
48,238
4.389422
0.05598
0.013495
0.017536
0.021429
0.862974
0.848997
0.827754
0.805324
0.799763
0.777778
0
0.023922
0.300655
48,238
1,001
218
48.18981
0.775634
0.050645
0
0.761379
0
0
0.025944
0.00181
0
0
0
0
0
0
null
null
0
0.002759
null
null
0.028966
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
8
d704b4bffb0a137f6aaca278fc2208f0b9542efc
6,635
py
Python
Plugins/UnrealEnginePython/Binaries/Win64/Lib/site-packages/tensorflow/_api/v1/keras/layers/__init__.py
JustinACoder/H22-GR3-UnrealAI
361eb9ef1147f8a2991e5f98c4118cd823184adf
[ "MIT" ]
6
2022-02-04T18:12:24.000Z
2022-03-21T23:57:12.000Z
Lib/site-packages/tensorflow/_api/v1/keras/layers/__init__.py
shfkdroal/Robot-Learning-in-Mixed-Adversarial-and-Collaborative-Settings
1fa4cd6a566c8745f455fc3d2273208f21f88ced
[ "bzip2-1.0.6" ]
null
null
null
Lib/site-packages/tensorflow/_api/v1/keras/layers/__init__.py
shfkdroal/Robot-Learning-in-Mixed-Adversarial-and-Collaborative-Settings
1fa4cd6a566c8745f455fc3d2273208f21f88ced
[ "bzip2-1.0.6" ]
1
2022-02-08T03:53:23.000Z
2022-02-08T03:53:23.000Z
# This file is MACHINE GENERATED! Do not edit. # Generated by: tensorflow/python/tools/api/generator/create_python_api.py script. """Keras layers API. """ from __future__ import print_function from tensorflow.python.keras import Input from tensorflow.python.keras.engine import InputLayer from tensorflow.pyth...
56.228814
85
0.855916
824
6,635
6.882282
0.154126
0.30753
0.380885
0.476107
0.810263
0.810263
0.484042
0.146711
0.146711
0.146711
0
0.012124
0.09254
6,635
117
86
56.709402
0.929746
0.021703
0
0
1
0
0
0
0
0
0
0
0
1
0
true
0
0.990909
0
0.990909
0.018182
0
0
0
null
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
9
d71475d8777bb43a98856cbe2fb897a258fe2575
13,604
py
Python
PhysicsTools/NanoAOD/countEvents.py
GonzalezFJR/cmssw
8f453e1b07c4a6d79b9e52190f6f68ec89959c03
[ "Apache-2.0" ]
null
null
null
PhysicsTools/NanoAOD/countEvents.py
GonzalezFJR/cmssw
8f453e1b07c4a6d79b9e52190f6f68ec89959c03
[ "Apache-2.0" ]
null
null
null
PhysicsTools/NanoAOD/countEvents.py
GonzalezFJR/cmssw
8f453e1b07c4a6d79b9e52190f6f68ec89959c03
[ "Apache-2.0" ]
null
null
null
from ROOT import * samples = [ 'root://deepthought.crc.nd.edu//store/user/kmohrman/FullProduction/Round6/Batch6/postLHE_step/v2/mAOD_step_ttllNuNuJetNoHiggs_HanV4ttXJetStartPtChecks_run2/HIG-RunIIFall17MiniAOD-00821ND_24549.root', 'root://deepthought.crc.nd.edu//store/user/kmohrman/FullProduction/Round6/Bat...
170.05
205
0.849309
1,591
13,604
7.01697
0.065368
0.087334
0.104801
0.116446
0.960319
0.960319
0.960319
0.960319
0.960319
0.960319
0
0.084505
0.03793
13,604
79
206
172.202532
0.76849
0
0
0
0
0.844156
0.939062
0.936489
0
0
0
0
0
1
0
false
0
0.012987
0
0.012987
0.038961
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
1
0
0
0
0
0
1
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
10
d71503b69bdb90744f030d4552e673e955764eaf
119
py
Python
lambda/lambda.py
Journera/glutil
aeb75974ae162456617334db4bd235c2101c8fd5
[ "BSD-3-Clause" ]
14
2019-06-19T20:14:38.000Z
2020-05-21T18:25:02.000Z
lambda/lambda.py
Journera/glutil
aeb75974ae162456617334db4bd235c2101c8fd5
[ "BSD-3-Clause" ]
2
2019-06-19T17:39:31.000Z
2019-10-29T18:24:20.000Z
lambda/lambda.py
Journera/glutil
aeb75974ae162456617334db4bd235c2101c8fd5
[ "BSD-3-Clause" ]
2
2019-10-04T04:33:06.000Z
2020-05-21T19:25:31.000Z
import glutil.serverless_function def handler(event, context): glutil.serverless_function.handle(event, context)
19.833333
53
0.806723
14
119
6.714286
0.642857
0.340426
0.510638
0
0
0
0
0
0
0
0
0
0.109244
119
5
54
23.8
0.886792
0
0
0
0
0
0
0
0
0
0
0
0
1
0.333333
false
0
0.333333
0
0.666667
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
1
0
1
0
0
7
d7687b433c69a27dec11e381c355fa3f31236be7
2,161
py
Python
TestDatabase.py
patrick310/flask-wtform-tutorial
b4b9581cdd457dfd54238e806bcabcd01c5bb9ab
[ "MIT" ]
null
null
null
TestDatabase.py
patrick310/flask-wtform-tutorial
b4b9581cdd457dfd54238e806bcabcd01c5bb9ab
[ "MIT" ]
null
null
null
TestDatabase.py
patrick310/flask-wtform-tutorial
b4b9581cdd457dfd54238e806bcabcd01c5bb9ab
[ "MIT" ]
1
2021-06-07T14:20:36.000Z
2021-06-07T14:20:36.000Z
import unittest from sqlalchemy import create_engine from sqlalchemy.ext.declarative import declarative_base from sqlalchemy import Column, Integer, String, Date class SimpleSqliteTest(unittest.TestCase): def setUp(self): print("Connecting DB") db_string = "sqlite://" self.db = create_engi...
31.779412
109
0.639056
257
2,161
5.29572
0.287938
0.061719
0.095518
0.035268
0.80529
0.80529
0.80529
0.80529
0.80529
0.80529
0
0.033951
0.250347
2,161
67
110
32.253731
0.806173
0.0236
0
0.714286
0
0.047619
0.376487
0.033317
0
0
0
0
0.047619
1
0.142857
false
0
0.095238
0
0.285714
0.095238
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
d76c33d94ab7040d71702816520dca8eeb47ee4f
15,133
py
Python
apem.py
DyningAida/apem
c90afc4cd06315f42f6300d5668909ec1e4e2eb0
[ "MIT" ]
null
null
null
apem.py
DyningAida/apem
c90afc4cd06315f42f6300d5668909ec1e4e2eb0
[ "MIT" ]
null
null
null
apem.py
DyningAida/apem
c90afc4cd06315f42f6300d5668909ec1e4e2eb0
[ "MIT" ]
null
null
null
import speech_recognition as sr from selenium import webdriver from selenium.webdriver.firefox.options import Options class Apem(object): def __init__(self, npm, paswd): self.npm = npm self.paswd = paswd def masuk(self): self.opsi = Options() self.opsi.headless = False ...
70.714953
164
0.660543
2,368
15,133
4.090794
0.054899
0.093218
0.108393
0.162589
0.901105
0.901105
0.901105
0.900898
0.853928
0.853515
0
0.029494
0.153109
15,133
214
165
70.714953
0.726358
0.000529
0
0.638498
0
0.201878
0.360595
0.272793
0
0
0
0
0
1
0.065728
false
0.051643
0.014085
0
0.084507
0.023474
0
0
0
null
0
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
9
ad82174840c8222cb56df871d7770383b4134a5a
4,817
py
Python
Support.records/Integrate.Validated.Results.for.NA12878.and.CHM1.py
mills-lab/svelter
d318b06d588483fe8a8ebcac8c8a6c7878f2c2b3
[ "MIT" ]
21
2015-11-02T06:31:52.000Z
2021-12-20T03:14:04.000Z
Support.records/Integrate.Validated.Results.for.NA12878.and.CHM1.py
mills-lab/svelter
d318b06d588483fe8a8ebcac8c8a6c7878f2c2b3
[ "MIT" ]
14
2016-03-02T21:12:53.000Z
2019-08-02T20:01:02.000Z
Support.records/Integrate.Validated.Results.for.NA12878.and.CHM1.py
mills-lab/svelter
d318b06d588483fe8a8ebcac8c8a6c7878f2c2b3
[ "MIT" ]
6
2015-08-19T18:33:02.000Z
2017-05-16T03:42:57.000Z
import os def path_modify(path): if not path[-1]=='/': path+='/' return path def Vali_files_readin(Vali_Folder): out=[] Vali_Folder=path_modify(Vali_Folder) for k1 in os.listdir(Vali_Folder): if k1.split('.')[-1]=='PacVal': out.append(Vali_Folder+k1) return out def Vali_file_read(filein,Vali_hash,score_c...
26.467033
124
0.652688
961
4,817
3.105099
0.084287
0.112601
0.080429
0.073727
0.790885
0.747989
0.742627
0.731233
0.700402
0.700402
0
0.067943
0.13224
4,817
181
125
26.61326
0.645933
0.013286
0
0.732394
0
0.007042
0.070571
0.046134
0
0
0
0
0
0
null
null
0
0.007042
null
null
0.084507
0
0
0
null
0
0
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
7
d175cc55f54c1a1970cccc69716dc57f93f8a4eb
52
py
Python
autorop/assertion/__init__.py
Tanson/autorop
0d2fc71cdcc9649a6006aee641a3808f884d7fc4
[ "MIT" ]
15
2020-10-03T05:20:31.000Z
2022-03-20T06:19:29.000Z
autorop/assertion/__init__.py
Tanson/autorop
0d2fc71cdcc9649a6006aee641a3808f884d7fc4
[ "MIT" ]
8
2020-10-02T09:51:39.000Z
2021-04-24T03:14:18.000Z
autorop/assertion/__init__.py
Tanson/autorop
0d2fc71cdcc9649a6006aee641a3808f884d7fc4
[ "MIT" ]
2
2021-04-16T06:33:49.000Z
2021-09-03T09:21:10.000Z
from autorop.assertion.have_shell import have_shell
26
51
0.884615
8
52
5.5
0.75
0.409091
0
0
0
0
0
0
0
0
0
0
0.076923
52
1
52
52
0.916667
0
0
0
0
0
0
0
0
0
0
0
1
1
0
true
0
1
0
1
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
1
0
0
1
0
1
0
1
0
0
7
0f63d6dc7658f08f613781cc2cf066a3af3ce801
175
py
Python
imports.py
Matt-cloud/Discord.py-Template
4b2ac9f0897bb44dfd799d821e536fc34ef3064e
[ "MIT" ]
null
null
null
imports.py
Matt-cloud/Discord.py-Template
4b2ac9f0897bb44dfd799d821e536fc34ef3064e
[ "MIT" ]
null
null
null
imports.py
Matt-cloud/Discord.py-Template
4b2ac9f0897bb44dfd799d821e536fc34ef3064e
[ "MIT" ]
null
null
null
from discord.ext import commands from lib.utils import checks from lib.utils import ui from lib.utils.globals import logger, db import time import importlib import discord
19.444444
40
0.817143
28
175
5.107143
0.5
0.146853
0.251748
0.251748
0
0
0
0
0
0
0
0
0.148571
175
8
41
21.875
0.959732
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
7e2923a1538496376fcd2704a51e98ca816cbcd2
19,484
py
Python
at_tmp/model/FUNC/REPORT_DATA.py
zuoleilei3253/zuoleilei
e188b15a0aa4a9fde00dba15e8300e4b87973e2d
[ "Apache-2.0" ]
null
null
null
at_tmp/model/FUNC/REPORT_DATA.py
zuoleilei3253/zuoleilei
e188b15a0aa4a9fde00dba15e8300e4b87973e2d
[ "Apache-2.0" ]
null
null
null
at_tmp/model/FUNC/REPORT_DATA.py
zuoleilei3253/zuoleilei
e188b15a0aa4a9fde00dba15e8300e4b87973e2d
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2018/8/8 16:59 # @Author : bxf # @File : REPORT_DATA.py # @Software: PyCharm ''' report_data:报告日期 data now report_er:报告人 report_env_type:环境类型 case_info report_exe_time:执行起止时间 case_result report_exe_counts:用例总数 report_exe_pass:通过数 report_exe_f...
142.218978
2,544
0.707658
3,797
19,484
3.377667
0.052673
0.047251
0.020585
0.016842
0.860741
0.828304
0.809201
0.806706
0.801326
0.801326
0
0.028053
0.160234
19,484
137
2,545
142.218978
0.755776
0.048553
0
0.116883
0
0.480519
0.751078
0.199804
0
0
0
0
0
1
0.025974
false
0.116883
0.038961
0
0.12987
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
1
1
0
0
0
0
0
1
1
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
11
7e2d8d14ae0ed60be6046776a3ba7e84091d36fb
160
py
Python
frappe_telegram/utils/bench.py
rafatali686/frappe_telegram
724ead04a531eddfe935acf35282684fef41cb67
[ "MIT" ]
16
2021-07-25T09:30:28.000Z
2022-03-24T04:56:57.000Z
frappe_telegram/utils/bench.py
rafatali686/frappe_telegram
724ead04a531eddfe935acf35282684fef41cb67
[ "MIT" ]
5
2021-08-24T18:07:13.000Z
2022-02-03T04:26:08.000Z
frappe_telegram/utils/bench.py
rafatali686/frappe_telegram
724ead04a531eddfe935acf35282684fef41cb67
[ "MIT" ]
10
2021-07-27T07:26:11.000Z
2022-03-24T11:16:38.000Z
import os from frappe.utils import get_bench_path, get_site_path # noqa def get_bench_name(): return os.path.basename(os.path.abspath(get_bench_path()))
22.857143
62
0.775
27
160
4.296296
0.555556
0.206897
0.206897
0
0
0
0
0
0
0
0
0
0.125
160
6
63
26.666667
0.828571
0.025
0
0
0
0
0
0
0
0
0
0
0
1
0.25
true
0
0.5
0.25
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
1
0
1
1
1
0
0
9
7e3d8bb50a7ba3ab857a94a8d537eb7d7a7559a5
911
py
Python
catalog/bindings/gmd/formula_type.py
NIVANorge/s-enda-playground
56ae0a8978f0ba8a5546330786c882c31e17757a
[ "Apache-2.0" ]
null
null
null
catalog/bindings/gmd/formula_type.py
NIVANorge/s-enda-playground
56ae0a8978f0ba8a5546330786c882c31e17757a
[ "Apache-2.0" ]
null
null
null
catalog/bindings/gmd/formula_type.py
NIVANorge/s-enda-playground
56ae0a8978f0ba8a5546330786c882c31e17757a
[ "Apache-2.0" ]
null
null
null
from dataclasses import dataclass, field from typing import Optional __NAMESPACE__ = "http://www.opengis.net/gml" @dataclass class FormulaType: a: Optional[float] = field( default=None, metadata={ "type": "Element", "namespace": "http://www.opengis.net/gml", }, ...
23.358974
54
0.497256
82
911
5.47561
0.329268
0.144766
0.178174
0.256125
0.804009
0.804009
0.739421
0.739421
0.739421
0.739421
0
0
0.349067
911
38
55
23.973684
0.757167
0
0
0.514286
0
0
0.248079
0
0
0
0
0
0
1
0
false
0
0.057143
0
0.2
0
0
0
0
null
0
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
7e513f09fd9a9677a31a0df67992e43713456bc9
132
py
Python
class9/ex4/mytest/__init__.py
patrebert/pynet_cert
b82cce3ddb20d9e4abc89d74579ddeb3513bdf55
[ "Apache-2.0" ]
null
null
null
class9/ex4/mytest/__init__.py
patrebert/pynet_cert
b82cce3ddb20d9e4abc89d74579ddeb3513bdf55
[ "Apache-2.0" ]
null
null
null
class9/ex4/mytest/__init__.py
patrebert/pynet_cert
b82cce3ddb20d9e4abc89d74579ddeb3513bdf55
[ "Apache-2.0" ]
null
null
null
from mytest.simple import func1 from mytest.whatever import func2 from mytest.world import func3 from mytest.world import testclass
26.4
34
0.848485
20
132
5.6
0.5
0.357143
0.267857
0.375
0
0
0
0
0
0
0
0.025862
0.121212
132
4
35
33
0.939655
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
8
7e5e8daf10948a1d4e97654acba69b5147e985ae
6,229
py
Python
synthesizer/tests/test_tacotron_model.py
puppyapple/Real-Time-Voice-Cloning
d1e1481e18ee7d604372025f3b751663d8dda37b
[ "MIT" ]
null
null
null
synthesizer/tests/test_tacotron_model.py
puppyapple/Real-Time-Voice-Cloning
d1e1481e18ee7d604372025f3b751663d8dda37b
[ "MIT" ]
null
null
null
synthesizer/tests/test_tacotron_model.py
puppyapple/Real-Time-Voice-Cloning
d1e1481e18ee7d604372025f3b751663d8dda37b
[ "MIT" ]
null
null
null
import os import copy import torch import unittest from torch import optim from torch import nn from TTS.utils.generic_utils import load_config from TTS.layers.losses import L1LossMasked from TTS.models.tacotron import Tacotron #pylint: disable=unused-variable torch.manual_seed(1) use_cuda = torch.cuda.is_available(...
41.526667
77
0.577781
771
6,229
4.488975
0.206226
0.046229
0.037561
0.022537
0.825484
0.81017
0.81017
0.81017
0.807281
0.787056
0
0.028703
0.300851
6,229
149
78
41.805369
0.766016
0.058757
0
0.740157
0
0
0.044615
0
0
0
0
0.006711
0.031496
1
0.023622
false
0
0.070866
0
0.11811
0.023622
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
7ebe62e244f748435f7c53619821a5be51928d6c
21,759
py
Python
mayan/apps/user_management/tests/test_group_views.py
bonitobonita24/Mayan-EDMS
7845fe0e1e83c81f5d227a16116397a3d3883b85
[ "Apache-2.0" ]
343
2015-01-05T14:19:35.000Z
2018-12-10T19:07:48.000Z
mayan/apps/user_management/tests/test_group_views.py
bonitobonita24/Mayan-EDMS
7845fe0e1e83c81f5d227a16116397a3d3883b85
[ "Apache-2.0" ]
191
2015-01-03T00:48:19.000Z
2018-11-30T09:10:25.000Z
mayan/apps/user_management/tests/test_group_views.py
bonitobonita24/Mayan-EDMS
7845fe0e1e83c81f5d227a16116397a3d3883b85
[ "Apache-2.0" ]
114
2015-01-08T20:21:05.000Z
2018-12-10T19:07:53.000Z
from django.contrib.auth.models import Group from mayan.apps.documents.tests.base import GenericDocumentViewTestCase from mayan.apps.metadata.permissions import permission_document_metadata_edit from mayan.apps.metadata.tests.mixins import MetadataTypeTestMixin from mayan.apps.testing.tests.base import GenericViewTest...
30.178918
77
0.66492
2,594
21,759
5.180802
0.039322
0.098445
0.065779
0.0599
0.915544
0.905052
0.890915
0.884069
0.869484
0.86688
0
0.011162
0.246519
21,759
720
78
30.220833
0.808539
0
0
0.766284
0
0
0.003447
0.002022
0
0
0
0
0.226054
1
0.072797
false
0
0.015326
0
0.095785
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
7edb9cca4a7e8e7d010ed1b49b2eea660884d36c
2,279
py
Python
cdisutilstest/data/editAccount.py
uc-cdis/cdisutils-test
623fea1cc339c8623f99590c8603ed1368b8890d
[ "Apache-2.0" ]
null
null
null
cdisutilstest/data/editAccount.py
uc-cdis/cdisutils-test
623fea1cc339c8623f99590c8603ed1368b8890d
[ "Apache-2.0" ]
12
2017-05-22T18:31:50.000Z
2020-10-26T15:57:30.000Z
cdisutilstest/data/editAccount.py
uc-cdis/cdisutils-test
623fea1cc339c8623f99590c8603ed1368b8890d
[ "Apache-2.0" ]
1
2019-02-18T19:38:51.000Z
2019-02-18T19:38:51.000Z
values = { frozenset(("id=72", "vaultUserPermissions%5B2%5D=readOnly")): { "status_code": "200", "text": { "responseData": {}, "responseHeader": { "now": 1492630700324, "requestId": "WPe8rAoQgF4AADVcyb0AAAAv", "status": "ok", ...
30.386667
69
0.436156
127
2,279
7.779528
0.204724
0.060729
0.182186
0.200405
0.928138
0.928138
0.928138
0.928138
0.928138
0.928138
0
0.112
0.396665
2,279
74
70
30.797297
0.606545
0
0
0.635135
0
0
0.386134
0.162352
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
ada54bf7cfffee95e466585d20978488896e3bb5
147
bzl
Python
defs.bzl
codebyravi/angular-samples
356e691c12f61ec481df41b4bcf331828bc0f196
[ "MIT" ]
null
null
null
defs.bzl
codebyravi/angular-samples
356e691c12f61ec481df41b4bcf331828bc0f196
[ "MIT" ]
3
2021-05-11T23:23:53.000Z
2022-02-13T21:09:30.000Z
defs.bzl
codebyravi/angular-samples
356e691c12f61ec481df41b4bcf331828bc0f196
[ "MIT" ]
null
null
null
load("//:package.bzl", _angular_samples_dependencies = "angular_samples_dependencies") angular_samples_dependencies = _angular_samples_dependencies
73.5
86
0.870748
15
147
7.866667
0.4
0.474576
0.881356
0.838983
0.881356
0.881356
0.881356
0.881356
0.881356
0
0
0
0.040816
147
2
87
73.5
0.836879
0
0
0
0
0
0.283784
0.189189
0
0
0
0
0
1
0
false
0
0
0
0
0
1
0
0
null
1
1
1
1
1
1
1
1
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
10
adc746e3b1490a18bc4c21db310a434696b9a578
4,799
py
Python
Ex_3/km.py
coffeerr/Data_Mining
132c475b0cbc8be22b1a3100ed879acae6e7325c
[ "MIT" ]
null
null
null
Ex_3/km.py
coffeerr/Data_Mining
132c475b0cbc8be22b1a3100ed879acae6e7325c
[ "MIT" ]
null
null
null
Ex_3/km.py
coffeerr/Data_Mining
132c475b0cbc8be22b1a3100ed879acae6e7325c
[ "MIT" ]
null
null
null
from numpy import * import matplotlib.pyplot as plt # 加载本地数据 def loadDataSet(fileName): dataMat = [] fr = open(fileName) for line in fr.readlines(): temp = [] #这一行为我自己加的 curLine = line.strip().split('\n') #fltLine = map(float, curLine) #书上代码 temp.append(float(curLine[0])) ...
34.278571
95
0.611794
543
4,799
5.403315
0.235727
0.019087
0.02454
0.014997
0.931152
0.931152
0.931152
0.931152
0.931152
0.931152
0
0.015569
0.250469
4,799
139
96
34.52518
0.800111
0.172744
0
0.903846
0
0
0.006115
0
0
0
0
0
0
1
0.076923
false
0
0.038462
0.019231
0.192308
0.038462
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
adff7b9b05375b2d98eb56ac57e32d92947aa431
91
py
Python
good/functionNestedFunctionsAndScopes.py
Alberto42/Interpreter
a56c4d905672572734a8470ef607b66727489f15
[ "BSD-3-Clause" ]
null
null
null
good/functionNestedFunctionsAndScopes.py
Alberto42/Interpreter
a56c4d905672572734a8470ef607b66727489f15
[ "BSD-3-Clause" ]
null
null
null
good/functionNestedFunctionsAndScopes.py
Alberto42/Interpreter
a56c4d905672572734a8470ef607b66727489f15
[ "BSD-3-Clause" ]
null
null
null
def f(x) { y = 3 def f(x) { y = 2 } f(42) return y } y = f(42)
9.1
14
0.307692
17
91
1.647059
0.470588
0.285714
0.357143
0.428571
0
0
0
0
0
0
0
0.139535
0.527473
91
10
15
9.1
0.511628
0
0
0.222222
0
0
0
0
0
0
0
0
0
0
null
null
0
0
null
null
0
1
0
1
null
1
1
1
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
7
bc07d650c4957e9b50f4ffd5ce0427d549d1b66c
12,151
py
Python
nitorch/tools/registration/losses/robust.py
balbasty/nitorch
d30c3125a8a66ea1434f2b39ed03338afd9724b4
[ "MIT" ]
46
2020-07-31T10:14:05.000Z
2022-03-24T12:51:46.000Z
nitorch/tools/registration/losses/robust.py
balbasty/nitorch
d30c3125a8a66ea1434f2b39ed03338afd9724b4
[ "MIT" ]
36
2020-10-06T19:01:38.000Z
2022-02-03T18:07:35.000Z
nitorch/tools/registration/losses/robust.py
balbasty/nitorch
d30c3125a8a66ea1434f2b39ed03338afd9724b4
[ "MIT" ]
6
2021-01-05T14:59:05.000Z
2021-11-18T18:26:45.000Z
from nitorch.core import utils, py from .base import OptimizationLoss from .mse import weighted_precision, mse def irls_laplace_reweight(moving, fixed, lam=1, joint=False, eps=1e-5, dim=None, mask=None): """Update iteratively reweighted least-squares weights for l1 Parameters --...
32.489305
79
0.520369
1,489
12,151
4.186702
0.096038
0.031761
0.033205
0.055342
0.909849
0.89862
0.888354
0.880494
0.880494
0.880494
0
0.012542
0.34384
12,151
374
80
32.489305
0.769347
0.268208
0
0.882979
0
0
0.011765
0
0
0
0
0
0
1
0.053191
false
0
0.015957
0
0.132979
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
70ac2b857489fb779bac94e54882d819e1118bbd
1,482
py
Python
tests/components/checkboxes/test_checkboxes.py
quis/govuk-frontend-jinja
1aab34d77cebad91a3001cda654b3177cd0201fd
[ "MIT" ]
null
null
null
tests/components/checkboxes/test_checkboxes.py
quis/govuk-frontend-jinja
1aab34d77cebad91a3001cda654b3177cd0201fd
[ "MIT" ]
null
null
null
tests/components/checkboxes/test_checkboxes.py
quis/govuk-frontend-jinja
1aab34d77cebad91a3001cda654b3177cd0201fd
[ "MIT" ]
null
null
null
def test_checkboxes(env, similar, template, expected): template = env.from_string(template) assert similar(template.render(), expected) def test_checkboxes_with_id_and_name(env, similar, template, expected): template = env.from_string(template) assert similar(template.render(), expected) def test_ch...
33.681818
83
0.776653
182
1,482
6.065934
0.175824
0.244565
0.138587
0.211957
0.882246
0.882246
0.882246
0.882246
0.882246
0.882246
0
0
0.126181
1,482
43
84
34.465116
0.85251
0
0
0.666667
0
0
0
0
0
0
0
0
0.333333
1
0.333333
false
0
0
0
0.333333
0
0
0
0
null
1
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
0
0
0
9
70b4ac66fe3089f9c0089c2dd3651d24e0f3a5cd
21,916
py
Python
tests/test_indexer.py
mosuka/basilisk
abe2de265af234bd78053ccc974ca4218a25cad3
[ "Apache-2.0" ]
17
2018-10-19T02:36:41.000Z
2022-01-29T01:02:50.000Z
tests/test_indexer.py
mosuka/basilisk
abe2de265af234bd78053ccc974ca4218a25cad3
[ "Apache-2.0" ]
23
2018-10-28T16:54:00.000Z
2019-02-15T17:09:25.000Z
tests/test_indexer.py
mosuka/basilisk
abe2de265af234bd78053ccc974ca4218a25cad3
[ "Apache-2.0" ]
null
null
null
# -*- coding: utf-8 -*- # Copyright (c) 2019 Minoru Osuka # # 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 l...
40.811918
120
0.663032
2,897
21,916
4.769762
0.074905
0.067086
0.047619
0.046172
0.83109
0.82255
0.814662
0.814662
0.809813
0.805109
0
0.008571
0.228053
21,916
536
121
40.88806
0.808192
0.088565
0
0.75
0
0.003049
0.063745
0.00478
0
0
0
0
0.262195
1
0.051829
false
0
0.045732
0
0.10061
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
70bb29eaf37726c8604d6a6c316d0c701bbddd2a
319
py
Python
neuron_ml/core/public/__init__.py
fossabot/Neuron
ee8b328411bddb9c86675914b0e0b50250fb7ff9
[ "MIT" ]
9
2018-12-18T06:19:09.000Z
2021-11-22T19:46:13.000Z
neuron_ml/core/public/__init__.py
fossabot/Neuron
ee8b328411bddb9c86675914b0e0b50250fb7ff9
[ "MIT" ]
20
2018-11-23T16:09:04.000Z
2022-02-10T00:06:17.000Z
neuron_ml/core/public/__init__.py
fossabot/Neuron
ee8b328411bddb9c86675914b0e0b50250fb7ff9
[ "MIT" ]
1
2019-02-25T11:58:20.000Z
2019-02-25T11:58:20.000Z
import neuron_ml.core.public.load import neuron_ml.core.public.export import neuron_ml.core.public.train import neuron_ml.core.public.clean import neuron_ml.core.public.classify import neuron_ml.core.public.graph import neuron_ml.core.public.labels import neuron_ml.core.public.model import neuron_ml.core.public.image
31.9
37
0.858934
54
319
4.907407
0.259259
0.407547
0.475472
0.611321
0.815094
0
0
0
0
0
0
0
0.056426
319
9
38
35.444444
0.880399
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
0
0
0
null
1
1
1
1
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
8
70d82a31100f143270181754f5f20a72b4bca266
318
py
Python
PIP/Minor Assignment 9/A9Q10.py
ankitrajbiswal/SEM_5
db716e242e77149a4091e0e564356ddc724aeff0
[ "Apache-2.0" ]
null
null
null
PIP/Minor Assignment 9/A9Q10.py
ankitrajbiswal/SEM_5
db716e242e77149a4091e0e564356ddc724aeff0
[ "Apache-2.0" ]
null
null
null
PIP/Minor Assignment 9/A9Q10.py
ankitrajbiswal/SEM_5
db716e242e77149a4091e0e564356ddc724aeff0
[ "Apache-2.0" ]
1
2022-03-02T05:07:39.000Z
2022-03-02T05:07:39.000Z
''' try: f = open('file1.txt', 'r') except IOError: print('Problem with Input Output...\n') else: print('No Problem with Input Output...') ''' try: f = open('file1.txt', 'w') except IOError: print('Problem with Input Output...\n') else: print('No Problem with Input Output...')
19.875
45
0.572327
42
318
4.333333
0.404762
0.241758
0.351648
0.483516
0.989011
0.813187
0.813187
0.813187
0.813187
0.813187
0
0.008264
0.238994
318
15
46
21.2
0.743802
0.455975
0
0
0
0
0.47973
0
0
0
0
0
0
1
0
false
0
0
0
0
0.333333
0
0
0
null
1
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
9
70dcf593607dccac3e7a5ac83ed6915a273e2059
3,021
py
Python
wizer/tools/colors.py
pa3kDaWae/workoutizer
15501d0060711bbd8308642bc89b45c1442d4d0f
[ "MIT" ]
null
null
null
wizer/tools/colors.py
pa3kDaWae/workoutizer
15501d0060711bbd8308642bc89b45c1442d4d0f
[ "MIT" ]
null
null
null
wizer/tools/colors.py
pa3kDaWae/workoutizer
15501d0060711bbd8308642bc89b45c1442d4d0f
[ "MIT" ]
null
null
null
lines_colors = [ "Red", "DodgerBlue", "LimeGreen", "Gold", "MediumSlateBlue", "Brown", "Olive", "Orange", "DarkGoldenRod", "Salmon", "Fuchsia", "Aqua", "LightSlateGray", "MediumBlue", "GreenYellow", "DarkRed", "DarkMagenta", "Khaki", "MediumSp...
16.32973
27
0.520357
182
3,021
8.631868
0.203297
0.041375
0.070019
0.08275
0.992998
0.992998
0.992998
0.992998
0.992998
0.992998
0
0
0.299901
3,021
184
28
16.418478
0.74279
0
0
0.989011
0
0
0.516727
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
cb813e9db5f927fbf0d9d65663f7f01de865dd0d
112
py
Python
test/regression/features/operators/notin.py
bjpop/blip
3d9105a44d1afb7bd007da3742fb19dc69372e10
[ "BSD-3-Clause" ]
137
2015-02-13T21:03:23.000Z
2021-11-24T03:53:55.000Z
test/regression/features/operators/notin.py
bjpop/blip
3d9105a44d1afb7bd007da3742fb19dc69372e10
[ "BSD-3-Clause" ]
2
2015-03-07T14:08:33.000Z
2015-10-13T02:00:40.000Z
test/regression/features/operators/notin.py
bjpop/blip
3d9105a44d1afb7bd007da3742fb19dc69372e10
[ "BSD-3-Clause" ]
4
2015-05-03T22:07:27.000Z
2018-09-10T08:55:03.000Z
print(2 not in [1,2,3]) print(2 not in [4,5]) print(1 not in [1] not in [[1]]) print(3 not in [1] not in [[1]])
22.4
32
0.5625
29
112
2.172414
0.275862
0.47619
0.47619
0.333333
0.380952
0.380952
0
0
0
0
0
0.144444
0.196429
112
4
33
28
0.555556
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0
0
0
1
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
1
0
7
cb9fc7e193833a6fbe7b0ac8689a4523d2c836ca
1,350
py
Python
tests/test_1941.py
sungho-joo/leetcode2github
ce7730ef40f6051df23681dd3c0e1e657abba620
[ "MIT" ]
null
null
null
tests/test_1941.py
sungho-joo/leetcode2github
ce7730ef40f6051df23681dd3c0e1e657abba620
[ "MIT" ]
null
null
null
tests/test_1941.py
sungho-joo/leetcode2github
ce7730ef40f6051df23681dd3c0e1e657abba620
[ "MIT" ]
null
null
null
#!/usr/bin/env python import pytest """ Test 1941. Check if All Characters Have Equal Number of Occurrences """ @pytest.fixture(scope="session") def init_variables_1941(): from src.leetcode_1941_check_if_all_characters_have_equal_number_of_occurrences import ( Solution, ) solution = Solution() ...
22.131148
92
0.742222
166
1,350
5.674699
0.23494
0.193206
0.252654
0.059448
1
1
1
1
1
1
0
0.07554
0.176296
1,350
60
93
22.5
0.771583
0.02963
0
0.933333
0
0
0.031088
0
0
0
0
0
0.133333
1
0.266667
false
0
0.133333
0.066667
0.533333
0
0
0
0
null
0
1
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
10
cbd15281278905f7ba1a745c3aeaf19d8152c5c4
880
py
Python
atividade2/TarefasEmOrdemFila.py
mateus2810/atividadesIa
0ffc816c962889fb9e0b9635692d616e46a0d0c5
[ "Apache-2.0" ]
null
null
null
atividade2/TarefasEmOrdemFila.py
mateus2810/atividadesIa
0ffc816c962889fb9e0b9635692d616e46a0d0c5
[ "Apache-2.0" ]
null
null
null
atividade2/TarefasEmOrdemFila.py
mateus2810/atividadesIa
0ffc816c962889fb9e0b9635692d616e46a0d0c5
[ "Apache-2.0" ]
null
null
null
#Questao 9 fila = [] print("Fila: ", fila) fila.append("Tarefa E") print("Inserindo um elemento no final da fila: ", fila) fila.append("Tarefa I") print("Inserindo outro elemento no final da fila: ", fila) fila.append("Tarefa C") print("Inserindo outro elemento no final da fila: ", fila) fila.append("Tarefa F") pri...
25.882353
58
0.718182
136
880
4.647059
0.169118
0.265823
0.189873
0.28481
0.931962
0.893987
0.893987
0.893987
0.893987
0.759494
0
0.00133
0.145455
880
33
59
26.666667
0.839096
0.010227
0
0.409091
0
0
0.589655
0
0
0
0
0
0
1
0
false
0
0
0
0
0.5
0
0
0
null
1
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
10
cbe05834900beeba456d8a0e304e9986ce96a600
28
py
Python
cursoEmVideo/Python/Mundo 1/Aulas/teste.py
VictorDG00/Cursos
b1411f3179ef17f128c883b0f5a56c2478de45e8
[ "MIT" ]
2
2021-02-08T13:34:15.000Z
2021-02-08T19:43:42.000Z
cursoEmVideo/Python/Mundo 1/Aulas/teste.py
VictorDG00/Cursos
b1411f3179ef17f128c883b0f5a56c2478de45e8
[ "MIT" ]
null
null
null
cursoEmVideo/Python/Mundo 1/Aulas/teste.py
VictorDG00/Cursos
b1411f3179ef17f128c883b0f5a56c2478de45e8
[ "MIT" ]
null
null
null
x = 3 * 5 + 4 ** 2 print(x)
9.333333
18
0.392857
7
28
1.571429
0.857143
0
0
0
0
0
0
0
0
0
0
0.222222
0.357143
28
2
19
14
0.388889
0
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0
0
0
0.5
1
1
1
null
0
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
7
1df4b313c4cbbb0a5bdd17889019f3697d015d13
131
py
Python
simple_todo_list/views.py
1MahdiR/simple-todo-list
ef233da6daedd4971ce7ee8602f3fb7fdd1f7381
[ "MIT" ]
null
null
null
simple_todo_list/views.py
1MahdiR/simple-todo-list
ef233da6daedd4971ce7ee8602f3fb7fdd1f7381
[ "MIT" ]
null
null
null
simple_todo_list/views.py
1MahdiR/simple-todo-list
ef233da6daedd4971ce7ee8602f3fb7fdd1f7381
[ "MIT" ]
null
null
null
from django.shortcuts import render from django.http import HttpResponse def main(req): return render(req, 'main.html', {})
16.375
39
0.732824
18
131
5.333333
0.666667
0.208333
0
0
0
0
0
0
0
0
0
0
0.160305
131
7
40
18.714286
0.872727
0
0
0
0
0
0.069767
0
0
0
0
0
0
1
0.25
false
0
0.5
0.25
1
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
1
1
1
0
0
7
1df8277baf8fc297c4a4fb3ea08434409bfd14a6
34
py
Python
trips/float.py
dineshkumar2509/learning-python
e8af11ff0b396da4c3f2cfe21d14131bae4b2adb
[ "MIT" ]
86
2015-06-13T16:53:55.000Z
2022-03-24T20:56:42.000Z
trips/float.py
pei-zheng-yi/learning-python
55e350dfe44cf04f7d4408e76e72d2f467bd42ce
[ "MIT" ]
9
2015-05-27T07:52:44.000Z
2022-03-29T21:52:40.000Z
trips/float.py
pei-zheng-yi/learning-python
55e350dfe44cf04f7d4408e76e72d2f467bd42ce
[ "MIT" ]
124
2015-12-10T01:17:18.000Z
2021-11-08T04:03:38.000Z
print(0.1 + 0.2 == 0.3) // False
11.333333
32
0.470588
8
34
2
0.75
0
0
0
0
0
0
0
0
0
0
0.230769
0.235294
34
2
33
17
0.384615
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0
0
0
1
1
1
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
1
0
7
3817811ce3c77ef3f68bfd15dc8807ca09f10e9a
175
py
Python
epson_projector/timeout.py
markbergsma/epson_projector
73dbb92a9f123d33afce49f698f3f359ce17bc6b
[ "MIT" ]
null
null
null
epson_projector/timeout.py
markbergsma/epson_projector
73dbb92a9f123d33afce49f698f3f359ce17bc6b
[ "MIT" ]
null
null
null
epson_projector/timeout.py
markbergsma/epson_projector
73dbb92a9f123d33afce49f698f3f359ce17bc6b
[ "MIT" ]
null
null
null
from .const import TIMEOUT_TIMES, DEFAULT_TIMEOUT_TIME def get_timeout(command, timeout_scale=1): return TIMEOUT_TIMES.get(command, DEFAULT_TIMEOUT_TIME) * timeout_scale
35
75
0.828571
25
175
5.44
0.52
0.176471
0.264706
0
0
0
0
0
0
0
0
0.006369
0.102857
175
4
76
43.75
0.859873
0
0
0
0
0
0
0
0
0
0
0
0
1
0.333333
false
0
0.333333
0.333333
1
0
1
0
0
null
0
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
1
1
1
0
0
7
381cac2f13a63a973b62dc3a47e0cfa343433454
3,328
py
Python
cx_token_builders.py
jfitz/code-stat
dd2a13177f3ef03ab42123ef3cfcbbd062a2ae26
[ "MIT" ]
null
null
null
cx_token_builders.py
jfitz/code-stat
dd2a13177f3ef03ab42123ef3cfcbbd062a2ae26
[ "MIT" ]
null
null
null
cx_token_builders.py
jfitz/code-stat
dd2a13177f3ef03ab42123ef3cfcbbd062a2ae26
[ "MIT" ]
null
null
null
from codestat_token import Token from token_builders import TokenBuilder # token reader for // comment class SlashSlashCommentTokenBuilder(TokenBuilder): @staticmethod def __escape_z__(): Token.__escape_z__() return 'Escape ?Z' def __init__(self): self.text = '' def get_tokens(self): if sel...
17.515789
63
0.582031
413
3,328
4.508475
0.128329
0.116004
0.064447
0.051557
0.821697
0.787863
0.738453
0.738453
0.738453
0.718045
0
0.009636
0.282752
3,328
189
64
17.608466
0.770423
0.038462
0
0.788136
0
0
0.035994
0
0
0
0
0
0
1
0.169492
false
0
0.016949
0
0.576271
0.033898
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
8
38455e4f19d72e046db83faec26850f2ea125f26
3,688
py
Python
tests/test_library.py
hiousi/mopidy-radionet
7aa59f7fc954f0117bc6ae54f4a5e6c1b8c0da5d
[ "Apache-2.0" ]
null
null
null
tests/test_library.py
hiousi/mopidy-radionet
7aa59f7fc954f0117bc6ae54f4a5e6c1b8c0da5d
[ "Apache-2.0" ]
null
null
null
tests/test_library.py
hiousi/mopidy-radionet
7aa59f7fc954f0117bc6ae54f4a5e6c1b8c0da5d
[ "Apache-2.0" ]
null
null
null
from unittest import mock def test_browse_root(library): results = library.browse('radionet:root'); assert 8 == len(results) def test_browse_localstations(library): results = library.browse('radionet:localstations'); assert len(results) > 0 page_uri = results[0].uri if results is not None else ...
25.79021
62
0.695228
562
3,688
4.44484
0.060498
0.108887
0.115292
0.122498
0.908727
0.782626
0.782626
0.770616
0.770616
0.770616
0
0.014271
0.220987
3,688
142
63
25.971831
0.855204
0
0
0.771739
0
0
0.041757
0.005965
0
0
0
0
0.445652
1
0.097826
false
0
0.01087
0
0.108696
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
1
0
0
0
0
0
0
0
0
0
8
697f0ced5400feccd4266b758ac130bf69436319
221
py
Python
Examples/5.1.2 Message Publisher.py
wangyonghong/RabbitMQ-in-Depth
56a35c6359d500b7597daf1bb2185b4c451a572c
[ "BSD-3-Clause" ]
111
2015-01-06T20:26:31.000Z
2022-03-14T13:17:12.000Z
Examples/5.1.2 Message Publisher.py
wangyonghong/RabbitMQ-in-Depth
56a35c6359d500b7597daf1bb2185b4c451a572c
[ "BSD-3-Clause" ]
4
2018-06-15T20:35:36.000Z
2021-01-13T16:03:40.000Z
Examples/5.1.2 Message Publisher.py
wangyonghong/RabbitMQ-in-Depth
56a35c6359d500b7597daf1bb2185b4c451a572c
[ "BSD-3-Clause" ]
43
2015-04-18T13:44:01.000Z
2022-03-14T13:17:13.000Z
import rabbitpy for iteration in range(10): rabbitpy.publish('amqp://guest:guest@localhost:5672/%2f', '', 'test-messages', 'go') rabbitpy.publish('amqp://guest:guest@localhost:5672/%2f', '', 'test-messages', 'stop')
36.833333
88
0.692308
29
221
5.275862
0.586207
0.196078
0.248366
0.313725
0.732026
0.732026
0.732026
0.732026
0.732026
0.732026
0
0.059406
0.085973
221
5
89
44.2
0.69802
0
0
0
0
0
0.479638
0.334842
0
0
0
0
0
1
0
false
0
0.25
0
0.25
0
1
0
0
null
0
1
1
0
1
1
1
1
1
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
9
6992764fc4b851cf753983bafdd42e0564afce23
52
py
Python
appstoreconnect/__init__.py
Tuni/appstoreconnectapi
f0fbaf75d57aabfdd6f0f45b8b1119eebdaf6e6e
[ "MIT" ]
1
2019-10-02T13:13:08.000Z
2019-10-02T13:13:08.000Z
appstoreconnect/__init__.py
Tuni/appstoreconnectapi
f0fbaf75d57aabfdd6f0f45b8b1119eebdaf6e6e
[ "MIT" ]
null
null
null
appstoreconnect/__init__.py
Tuni/appstoreconnectapi
f0fbaf75d57aabfdd6f0f45b8b1119eebdaf6e6e
[ "MIT" ]
null
null
null
from .api import Api from .api import AppStoreState
17.333333
30
0.807692
8
52
5.25
0.5
0.333333
0.619048
0
0
0
0
0
0
0
0
0
0.153846
52
2
31
26
0.954545
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
69ae1ac59157145d4772b0ee39fbc6cacb579a7a
92
py
Python
pyBN/inference/map_exact/__init__.py
seuzmj/pyBN
ce7b6823f4e6c4f6f9b77e89f05de87ed486b349
[ "MIT" ]
126
2016-01-17T22:59:08.000Z
2021-12-19T15:35:22.000Z
pyBN/inference/map_exact/__init__.py
levilentz/pyBN
ce7b6823f4e6c4f6f9b77e89f05de87ed486b349
[ "MIT" ]
24
2016-01-21T20:11:03.000Z
2018-09-21T01:23:58.000Z
pyBN/inference/map_exact/__init__.py
levilentz/pyBN
ce7b6823f4e6c4f6f9b77e89f05de87ed486b349
[ "MIT" ]
55
2016-05-27T00:46:54.000Z
2022-03-24T11:43:57.000Z
from pyBN.inference.map_exact.ilp_map import * from pyBN.inference.map_exact.ve_map import *
46
46
0.836957
16
92
4.5625
0.5
0.219178
0.465753
0.547945
0.684932
0
0
0
0
0
0
0
0.076087
92
2
47
46
0.858824
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
8
69bad0f44e8574d974e60a05ca19f3f5cfca6c38
470
py
Python
src/files2.py
mpicbg-csbd/structured_N2V
82c2a0f98d354a1afeff2deab3b04fb7cfc4b21f
[ "BSD-3-Clause" ]
13
2020-11-03T12:38:20.000Z
2022-03-20T01:32:02.000Z
src/files2.py
mpicbg-csbd/structured_N2V
82c2a0f98d354a1afeff2deab3b04fb7cfc4b21f
[ "BSD-3-Clause" ]
1
2021-11-05T08:11:17.000Z
2022-01-21T22:17:59.000Z
src/files2.py
mpicbg-csbd/structured_N2V
82c2a0f98d354a1afeff2deab3b04fb7cfc4b21f
[ "BSD-3-Clause" ]
3
2021-01-13T04:51:31.000Z
2021-10-06T08:59:33.000Z
wildcards = dict() ## experiments x params x wildcards['/lustre/projects/project-broaddus/denoise_experiments/flower/e01/n2v2/'] = "mask_{n}_{m}/table.csv" wildcards['/lustre/projects/project-broaddus/denoise_experiments/flower/e01/n2gt/'] = "d{a}/table.csv" wildcards['/lustre/projects/project-broaddus/denoise_experi...
39.166667
110
0.759574
63
470
5.571429
0.365079
0.17094
0.262108
0.34188
0.820513
0.820513
0.820513
0.820513
0.820513
0.635328
0
0.027027
0.055319
470
11
111
42.727273
0.763514
0.046809
0
0
0
0
0.776018
0.680995
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
10
69e871e31621ab5577e578c068f3d77b10d4e44a
42,890
py
Python
Saliency-detection-in-360-video_TORCH/data.py
ustundag/2D-3D-Semantics
6f79be0082e2bfd6b7940c2314972a603e55f201
[ "Apache-2.0" ]
72
2018-09-09T02:11:58.000Z
2022-02-24T09:51:09.000Z
Saliency-detection-in-360-video_TORCH/data.py
ustundag/2D-3D-Semantics
6f79be0082e2bfd6b7940c2314972a603e55f201
[ "Apache-2.0" ]
8
2018-09-13T16:48:34.000Z
2021-12-21T18:13:16.000Z
Saliency-detection-in-360-video_TORCH/data.py
ustundag/2D-3D-Semantics
6f79be0082e2bfd6b7940c2314972a603e55f201
[ "Apache-2.0" ]
18
2018-11-29T07:11:59.000Z
2020-06-16T09:06:23.000Z
import numpy as np import torch as th import torch.utils.data as data from PIL import Image import os import pickle from scipy import signal from sconv.functional.sconv import spherical_conv from tqdm import tqdm import numbers import cv2 from functools import lru_cache from random import Random class VRSaliency(data...
37.821869
135
0.55675
5,645
42,890
4.047121
0.040213
0.056334
0.026263
0.024293
0.918848
0.907161
0.89311
0.883349
0.878184
0.869999
0
0.02088
0.312147
42,890
1,133
136
37.855252
0.753508
0.073024
0
0.878893
0
0
0.024032
0.000681
0
0
0
0
0.013841
1
0.064591
false
0.001153
0.033449
0.010381
0.17301
0.023068
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7