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
ab004fc32da2c054a27da448be678a4c97fe4366
1,306
py
Python
lib/utils/fp16_utils.py
transcendentsky/ssd_pytorch
f1e20318d37b11f99c207d5e19f49ec662bf80f9
[ "MIT" ]
10
2018-06-26T04:08:12.000Z
2021-08-02T03:57:56.000Z
lib/utils/fp16_utils.py
AtriSaxena/ssd-detection-app
2662d93c8daf0ed2226c4d956037ce14e092d94f
[ "MIT" ]
1
2019-02-25T08:55:25.000Z
2019-02-25T08:55:25.000Z
lib/utils/fp16_utils.py
AtriSaxena/ssd-detection-app
2662d93c8daf0ed2226c4d956037ce14e092d94f
[ "MIT" ]
8
2018-07-29T02:08:18.000Z
2021-08-02T03:57:55.000Z
import torch import torch.nn as nn class tofp16(nn.Module): def __init__(self): super(tofp16, self).__init__() def forward(self, input): return input.half() def copy_in_params(net, params): net_params = list(net.parameters()) for i in range(len(params)): net_p...
29.681818
90
0.667688
188
1,306
4.462766
0.430851
0.02503
0.053635
0.047676
0
0
0
0
0
0
0
0.005988
0.232772
1,306
43
91
30.372093
0.831337
0.227412
0
0
0
0
0
0
0
0
0
0
0
1
0.25
false
0
0.083333
0.083333
0.5
0
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
ab016a212a9ffef638ff8fac1ceb90b8400825ce
2,186
py
Python
irc/unimatrix/unimatrix/unimatrix/views/confs.py
Xe/code
d970038329f7c4e4f0ee9dcd1b345741dd0fcc51
[ "Zlib" ]
7
2015-03-26T07:35:06.000Z
2021-12-09T00:03:33.000Z
irc/unimatrix/unimatrix/unimatrix/views/confs.py
Xe/code
d970038329f7c4e4f0ee9dcd1b345741dd0fcc51
[ "Zlib" ]
null
null
null
irc/unimatrix/unimatrix/unimatrix/views/confs.py
Xe/code
d970038329f7c4e4f0ee9dcd1b345741dd0fcc51
[ "Zlib" ]
1
2020-11-03T22:59:31.000Z
2020-11-03T22:59:31.000Z
# Copyright (C) 2014 Christine Dodrill <xena@yolo-swag.com> All rights reserved. # # This software is provided 'as-is', without any express or implied # warranty. In no event will the authors be held liable for any damages # arising from the use of this software. # # Permission is granted to anyone to use this software...
28.025641
80
0.655078
289
2,186
4.878893
0.50173
0.042553
0.019858
0.032624
0
0
0
0
0
0
0
0.008547
0.250686
2,186
77
81
28.38961
0.852259
0.410339
0
0.051282
0
0
0.076619
0
0
0
0
0
0
1
0.051282
false
0.051282
0.051282
0
0.179487
0.051282
0
0
0
null
0
0
0
0
0
0
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
0
1
0
0
0
0
0
1
ab0233e49f8fac7d86efb0827bdbe82ee4d7dca6
9,664
py
Python
importance_features.py
khoaiha12/multidoc_summarization
5cb3e978a14cf85ffab281e35e264be99b4726e1
[ "BSD-3-Clause" ]
null
null
null
importance_features.py
khoaiha12/multidoc_summarization
5cb3e978a14cf85ffab281e35e264be99b4726e1
[ "BSD-3-Clause" ]
null
null
null
importance_features.py
khoaiha12/multidoc_summarization
5cb3e978a14cf85ffab281e35e264be99b4726e1
[ "BSD-3-Clause" ]
null
null
null
import numpy as np import itertools import util, data from sklearn.metrics.pairwise import cosine_similarity import batcher from absl import flags from sklearn import svm import glob from tqdm import tqdm import cPickle FLAGS = flags.FLAGS class SentRep: def __init__(self, abs_sent_indices, rel_sent_indices_0_to_...
39.933884
167
0.684499
1,347
9,664
4.584261
0.172235
0.067692
0.048097
0.032065
0.263158
0.226073
0.157247
0.113198
0.103482
0.103482
0
0.008462
0.229615
9,664
242
168
39.933884
0.820954
0.045944
0
0.102804
0
0.004673
0.045759
0.008559
0
0
0
0
0.014019
0
null
null
0
0.074766
null
null
0.023364
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
ab0574da499364a6746bc1b1be1199e54ce2920c
989
py
Python
code/partial_rank_markov_chain/carname2id.py
aburnap/DS2016_DesignFreedom_and_BrandRecognition
a2cdf9d39d795d3f0a4361210d0249cb35f0350a
[ "Apache-1.1" ]
null
null
null
code/partial_rank_markov_chain/carname2id.py
aburnap/DS2016_DesignFreedom_and_BrandRecognition
a2cdf9d39d795d3f0a4361210d0249cb35f0350a
[ "Apache-1.1" ]
null
null
null
code/partial_rank_markov_chain/carname2id.py
aburnap/DS2016_DesignFreedom_and_BrandRecognition
a2cdf9d39d795d3f0a4361210d0249cb35f0350a
[ "Apache-1.1" ]
null
null
null
import numpy as np attr_list = ['Active', 'Aggressive','Distinctive','Expressive','Innovative','Luxurious','Powerful','Sporty','Well Proportioned','Youthful'] DESIGNS = [elm+str(num) for elm in ['a','b','c','l'] for num in range(0,5)] morphed_DESIGNS = [elm+str(num) for elm in ['A','B','C','L'] for num in range(0,8)]...
44.954545
139
0.714863
153
989
4.30719
0.392157
0.121396
0.075873
0.048558
0.264036
0.264036
0.264036
0.264036
0.127466
0.127466
0
0.004667
0.133468
989
22
140
44.954545
0.764294
0
0
0
0
0
0.277778
0.153535
0
0
0
0
0
0
null
null
0
0.066667
null
null
0.066667
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
ab0c32392ac74f9ace3cc285d78c2894f230265c
535
py
Python
Python/Mundo 2/ex43 - indice de massa corporal.py
Breno-Andrade/Curso-em-Video
ccaf4d7cbdebfcdaed7f9b4421c40911ba935139
[ "MIT" ]
null
null
null
Python/Mundo 2/ex43 - indice de massa corporal.py
Breno-Andrade/Curso-em-Video
ccaf4d7cbdebfcdaed7f9b4421c40911ba935139
[ "MIT" ]
null
null
null
Python/Mundo 2/ex43 - indice de massa corporal.py
Breno-Andrade/Curso-em-Video
ccaf4d7cbdebfcdaed7f9b4421c40911ba935139
[ "MIT" ]
null
null
null
# Calcula o IMC. print(' ====== Exercicio 43 ====== ') peso = float(input('Digite seu peso em quilos: ')) altura = float(input('digite sua altura em metros: ')) # Calculo do IMC. imc = peso / (altura ** 2) # verificando o IMC e exibindo o indice do usuário. print('\nSeu IMC: {:.1f}'.format(imc)) print('Voce está em ...
23.26087
54
0.611215
77
535
4.246753
0.558442
0.06422
0.097859
0
0
0
0
0
0
0
0
0.030023
0.190654
535
22
55
24.318182
0.725173
0.149533
0
0
0
0
0.383592
0
0
0
0
0
0
1
0
false
0
0
0
0
0.5
0
0
0
null
0
0
0
0
0
0
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
0
0
0
0
0
1
0
1
ab0f43abf8fc9f949a0f54dcac620f53805fc615
258
py
Python
my-python-lab/appstatement.py
baizoukou/my-python-lab
510fa2c23a272cb5b9e9a2dca2967797b2a1195b
[ "MIT" ]
null
null
null
my-python-lab/appstatement.py
baizoukou/my-python-lab
510fa2c23a272cb5b9e9a2dca2967797b2a1195b
[ "MIT" ]
null
null
null
my-python-lab/appstatement.py
baizoukou/my-python-lab
510fa2c23a272cb5b9e9a2dca2967797b2a1195b
[ "MIT" ]
null
null
null
## using the return statement in python ## execute fct and give the respond back def cube(num): ## expectin one num return num*num*num ## allows to return value to the caller print(cube(3)) ## return none result = cube(4) print(result)
19.846154
63
0.670543
40
258
4.325
0.65
0.069364
0
0
0
0
0
0
0
0
0
0.010152
0.236434
258
12
64
21.5
0.86802
0.542636
0
0
0
0
0
0
0
0
0
0
0
1
0.2
false
0
0
0.2
0.4
0.4
0
0
0
null
0
0
0
0
0
0
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
0
0
0
1
0
0
0
1
ab0f9701efc596bb4cb92d1420133e361d4127e1
7,066
py
Python
imagepy/menus/Image/Color/splitandmerge_plgs.py
BioinfoTongLI/imagepy
b86f33f20e872ee8b86471a9ddfbd5ad064fd64d
[ "BSD-4-Clause" ]
2
2019-08-15T06:19:18.000Z
2021-10-09T15:51:57.000Z
imagepy/menus/Image/Color/splitandmerge_plgs.py
BioinfoTongLI/imagepy
b86f33f20e872ee8b86471a9ddfbd5ad064fd64d
[ "BSD-4-Clause" ]
null
null
null
imagepy/menus/Image/Color/splitandmerge_plgs.py
BioinfoTongLI/imagepy
b86f33f20e872ee8b86471a9ddfbd5ad064fd64d
[ "BSD-4-Clause" ]
null
null
null
# -*- coding: utf-8 -*- """ Created on Sat Dec 17 10:49:15 2016 @author: yxl """ from imagepy import IPy import numpy as np from imagepy.ui.canvasframe import CanvasFrame from imagepy.core.manager import ImageManager, WindowsManager from imagepy.core.engine import Simple from skimage import color class SplitRGB(Simple...
29.198347
157
0.518823
947
7,066
3.862724
0.19113
0.029524
0.042646
0.062329
0.42947
0.395571
0.298797
0.17988
0.173866
0.156643
0
0.040157
0.281064
7,066
242
157
29.198347
0.679921
0.060572
0
0.32948
0
0
0.101633
0
0
0
0
0
0
1
0.16763
false
0
0.034682
0.080925
0.554913
0.028902
0
0
0
null
0
0
0
0
0
0
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
0
0
0
0
1
0
0
1
ab0fc222921c40fb0d44ad1d0f0584c5f0ae079e
1,939
py
Python
interlagos/utils/base.py
intellihr/interlagos
f09651b460f7f6030fcb9299be45eb83d199f136
[ "MIT" ]
null
null
null
interlagos/utils/base.py
intellihr/interlagos
f09651b460f7f6030fcb9299be45eb83d199f136
[ "MIT" ]
null
null
null
interlagos/utils/base.py
intellihr/interlagos
f09651b460f7f6030fcb9299be45eb83d199f136
[ "MIT" ]
null
null
null
def flatten(x): """Flatten a two-dimensional list into one-dimension. Todo: * Support flattening n-dimension list into one-dimension. Args: x (list of list of any): A two-dimension list. Returns: list of any: An one-dimension list. """ return [a for i in x for a in i...
26.202703
68
0.58329
226
1,939
4.977876
0.30531
0.08
0.048
0.053333
0.206222
0.151111
0.151111
0.140444
0.094222
0.094222
0
0.003037
0.320784
1,939
73
69
26.561644
0.851177
0.497679
0
0
0
0
0.002381
0
0
0
0
0.013699
0
1
0.136364
false
0
0
0
0.272727
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
1
ab10b22631b9685f62c4ee7a472bb88381cf695f
12,820
py
Python
lib/pymodules/cmd_admin.py
LimpingNinja/ngenmud
b9005f92ae9e3b12e8db7381264826865c918e3d
[ "MIT" ]
4
2020-04-30T00:26:57.000Z
2021-12-30T19:15:25.000Z
lib/pymodules/cmd_admin.py
LimpingNinja/ngenmud
b9005f92ae9e3b12e8db7381264826865c918e3d
[ "MIT" ]
null
null
null
lib/pymodules/cmd_admin.py
LimpingNinja/ngenmud
b9005f92ae9e3b12e8db7381264826865c918e3d
[ "MIT" ]
1
2020-08-30T07:05:27.000Z
2020-08-30T07:05:27.000Z
''' cmd_admin.py commands available only to admins. ''' import mudsys, inform, string, mudsock, mud, hooks, display import room as mudroom import char as mudchar import obj as mudobj ################################################################################ # local variables #################################...
34.005305
115
0.568097
1,680
12,820
4.266071
0.204167
0.025952
0.018976
0.037952
0.210269
0.133529
0.105902
0.105902
0.083159
0.074508
0
0.003563
0.277457
12,820
376
116
34.095745
0.770161
0.044852
0
0.240175
0
0
0.196924
0.005162
0
0
0
0
0
0
null
null
0
0.017467
null
null
0
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
ab11b8f1a65b18cae1c528b6a93d26f52d36c6d8
1,308
py
Python
Behavioural/ChainOfResponsibility.py
kgrewal2/design-patterns-python
4f03e8ee76eba7af0b3773d43a12aa583e2b3060
[ "MIT" ]
null
null
null
Behavioural/ChainOfResponsibility.py
kgrewal2/design-patterns-python
4f03e8ee76eba7af0b3773d43a12aa583e2b3060
[ "MIT" ]
null
null
null
Behavioural/ChainOfResponsibility.py
kgrewal2/design-patterns-python
4f03e8ee76eba7af0b3773d43a12aa583e2b3060
[ "MIT" ]
null
null
null
# Used when we want to process an array of requests through a chain of handlers. Respective handler processes the request depending on the value, and send the request to the successor handler if not handled at that handler. class Handler: def __init__(self, successor): self.successor = successor def ...
26.16
223
0.64526
159
1,308
5.226415
0.402516
0.054152
0.078219
0.120337
0.102286
0.069795
0
0
0
0
0
0.012487
0.265291
1,308
49
224
26.693878
0.852237
0.16896
0
0.212121
0
0
0.081106
0
0
0
0
0
0
1
0.242424
false
0
0
0
0.484848
0.121212
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
ab15de3844fc79b171a2ed4d31c6efc5cade326e
1,324
py
Python
unet/model.py
sdll/protodune-unet
a3d8be349c1a0ae83eac0cfd1ef0817de1a4b2d3
[ "MIT" ]
null
null
null
unet/model.py
sdll/protodune-unet
a3d8be349c1a0ae83eac0cfd1ef0817de1a4b2d3
[ "MIT" ]
null
null
null
unet/model.py
sdll/protodune-unet
a3d8be349c1a0ae83eac0cfd1ef0817de1a4b2d3
[ "MIT" ]
null
null
null
""" Full assembly of the parts to form the complete network """ import torch.nn as nn from .fragments import DoubleConv, Up, Down, OutConv class UNet(nn.Module): def __init__(self, n_channels, n_classes, feature_dim=64, is_bilinear=False): super().__init__() self.n_channels = n_channels s...
35.783784
81
0.612538
196
1,324
3.928571
0.295918
0.246753
0.090909
0.103896
0.345455
0.153247
0.088312
0
0
0
0
0.047867
0.274169
1,324
36
82
36.777778
0.753382
0.041541
0
0
0
0
0
0
0
0
0
0
0
1
0.066667
false
0
0.066667
0
0.2
0
0
0
0
null
1
0
0
0
0
0
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
0
0
0
0
0
0
0
1
ab1a55b8db8dc8c41cc60675c09ab99f7e0fec4b
396
py
Python
tpmp_db/dbms/migrations/0021_location_description.py
tpmp-inra/tpmp_bd
e50e9afe9e338d62e527082db2579fa0c63d7c28
[ "MIT" ]
null
null
null
tpmp_db/dbms/migrations/0021_location_description.py
tpmp-inra/tpmp_bd
e50e9afe9e338d62e527082db2579fa0c63d7c28
[ "MIT" ]
null
null
null
tpmp_db/dbms/migrations/0021_location_description.py
tpmp-inra/tpmp_bd
e50e9afe9e338d62e527082db2579fa0c63d7c28
[ "MIT" ]
null
null
null
# Generated by Django 3.2.7 on 2021-09-14 08:15 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('dbms', '0020_auto_20210914_1011'), ] operations = [ migrations.AddField( model_name='location', name='description', ...
20.842105
58
0.60101
43
396
5.44186
0.837209
0
0
0
0
0
0
0
0
0
0
0.109155
0.282828
396
18
59
22
0.714789
0.113636
0
0
1
0
0.131805
0.065903
0
0
0
0
0
1
0
false
0
0.083333
0
0.333333
0
0
0
0
null
0
0
0
0
0
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
0
0
0
0
0
0
0
1
ab1a89efa4104521b2733a531177c2749813e361
2,779
py
Python
fruitsales/views.py
khajime/fruit-sales-management-console
4f802578cd9ddcdbbc3259263d0d19df11432a0c
[ "MIT" ]
null
null
null
fruitsales/views.py
khajime/fruit-sales-management-console
4f802578cd9ddcdbbc3259263d0d19df11432a0c
[ "MIT" ]
16
2019-02-21T14:12:01.000Z
2019-03-11T08:00:15.000Z
fruitsales/views.py
khajime/fruit-sales-management-console
4f802578cd9ddcdbbc3259263d0d19df11432a0c
[ "MIT" ]
null
null
null
import logging from django.shortcuts import render from django.views.generic import ListView, CreateView, DetailView, UpdateView, DeleteView from django.urls import reverse_lazy from django.core.exceptions import ValidationError from django.http import Http404 from django.contrib.auth.mixins import LoginRequiredMixin...
28.947917
110
0.690896
294
2,779
6.360544
0.380952
0.037433
0.040107
0.082888
0.202139
0.202139
0.202139
0.054545
0.054545
0.054545
0
0.004117
0.213386
2,779
95
111
29.252632
0.851327
0.118028
0
0.181818
0
0
0.142976
0.086286
0
0
0
0
0
1
0.054545
false
0
0.218182
0.018182
0.727273
0
0
0
0
null
0
0
0
0
0
0
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
0
0
0
0
1
0
0
1
ab1d65f11b2a0c1d1af1e58d5b6b6b266c6970c0
3,430
py
Python
plaso/parsers/winreg_plugins/outlook.py
nflexfo/plaso
5da7aa51c39b593773687fdf20a93ba35fc492b4
[ "Apache-2.0" ]
1
2020-12-04T10:26:34.000Z
2020-12-04T10:26:34.000Z
plaso/parsers/winreg_plugins/outlook.py
nflexfo/plaso
5da7aa51c39b593773687fdf20a93ba35fc492b4
[ "Apache-2.0" ]
null
null
null
plaso/parsers/winreg_plugins/outlook.py
nflexfo/plaso
5da7aa51c39b593773687fdf20a93ba35fc492b4
[ "Apache-2.0" ]
null
null
null
# -*- coding: utf-8 -*- """This file contains an Outlook search MRU Registry parser.""" from __future__ import unicode_literals from plaso.containers import events from plaso.containers import time_events from plaso.lib import definitions from plaso.parsers import winreg from plaso.parsers.winreg_plugins import inter...
36.105263
77
0.723615
405
3,430
5.97284
0.387654
0.048367
0.033072
0.04754
0.151716
0.151716
0.151716
0.151716
0.089293
0.089293
0
0.01787
0.184257
3,430
94
78
36.489362
0.846676
0.420117
0
0.1
0
0
0.132115
0.095039
0
0
0
0.021277
0
1
0.05
false
0
0.15
0
0.35
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
1
ab21a161e33d78d9206e6841eae5ad158414b0e9
499
py
Python
aiosfstream/_metadata.py
hakidehari/aiosfstream
6d0ab3a0bfece3270cfd7ba23ad350290de2e6b1
[ "MIT" ]
42
2018-10-31T20:08:09.000Z
2022-03-24T11:41:01.000Z
aiosfstream/_metadata.py
hakidehari/aiosfstream
6d0ab3a0bfece3270cfd7ba23ad350290de2e6b1
[ "MIT" ]
18
2018-09-18T15:10:05.000Z
2022-03-10T19:09:41.000Z
aiosfstream/_metadata.py
hakidehari/aiosfstream
6d0ab3a0bfece3270cfd7ba23ad350290de2e6b1
[ "MIT" ]
18
2019-02-01T02:46:01.000Z
2022-03-16T19:09:31.000Z
"""Package metadata""" TITLE = "aiosfstream" DESCRIPTION = "Salesforce Streaming API client for asyncio" KEYWORDS = "salesforce asyncio aiohttp comet cometd bayeux push streaming" URL = "https://github.com/robertmrk/aiosfstream" PROJECT_URLS = { "CI": "https://travis-ci.org/robertmrk/aiosfstream", "Coverage": "...
35.642857
74
0.729459
59
499
6.135593
0.711864
0.165746
0
0
0
0
0
0
0
0
0
0.006803
0.116232
499
13
75
38.384615
0.814059
0.032064
0
0
0
0
0.687631
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
ab2274935497dc55e0e9964a31aeefb1cc208773
1,312
py
Python
iris-predictor/views.py
s18k/iris-predictor
44ff07175d05dcaba2110b11238e6a9a06c15f07
[ "MIT" ]
null
null
null
iris-predictor/views.py
s18k/iris-predictor
44ff07175d05dcaba2110b11238e6a9a06c15f07
[ "MIT" ]
null
null
null
iris-predictor/views.py
s18k/iris-predictor
44ff07175d05dcaba2110b11238e6a9a06c15f07
[ "MIT" ]
null
null
null
from iris-predictor import app from flask import Flask,render_template,request from sklearn.datasets import load_iris from sklearn.neighbors import KNeighborsClassifier from sklearn.model_selection import train_test_split import pickle import numpy as np @app.route("/") def home(): iris = load_iris() model = KN...
35.459459
80
0.706555
176
1,312
5.090909
0.352273
0.049107
0.03125
0.046875
0
0
0
0
0
0
0
0.003663
0.167683
1,312
36
81
36.444444
0.81685
0
0
0
0
0
0.147866
0
0
0
0
0
0
0
null
null
0
0.205882
null
null
0
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
ab2626cd2c6b2fe17afde44bec0e814d50da61b7
2,862
py
Python
resources/file-level/buildscripts/comp_test_NET-525.py
d-fact/CSlicer
809a2799fa0979bedec9c575609c0d5ec270fbac
[ "Apache-2.0" ]
2
2021-06-03T14:27:27.000Z
2021-06-03T20:15:02.000Z
resources/file-level/buildscripts/comp_test_NET-525.py
d-fact/CSlicer
809a2799fa0979bedec9c575609c0d5ec270fbac
[ "Apache-2.0" ]
null
null
null
resources/file-level/buildscripts/comp_test_NET-525.py
d-fact/CSlicer
809a2799fa0979bedec9c575609c0d5ec270fbac
[ "Apache-2.0" ]
3
2021-06-03T20:14:29.000Z
2021-11-23T07:51:19.000Z
import os import os.path import sys import csv import shutil import subprocess as sub SCRIPT_DIR = os.path.dirname(os.path.realpath(__file__)) # Dir of this script CONFIG_FILE = SCRIPT_DIR + '/../definer-configs/NET-525.properties' TEST_CLASSES_BACKUP_DIR = SCRIPT_DIR + '/../_test_classes_backup' def isexec (fpath): ...
35.333333
126
0.588749
366
2,862
4.483607
0.300546
0.036563
0.048751
0.039001
0.271786
0.244973
0.244973
0.244973
0.244973
0.177331
0
0.013731
0.262055
2,862
80
127
35.775
0.763258
0.021314
0
0.219178
0
0
0.177984
0.093638
0
0
0
0
0
0
null
null
0
0.082192
null
null
0.054795
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
ab27fa1da5e8215b686ba725c3f440a5082b58bb
2,824
py
Python
train_pytorch.py
olavosamp/kaggle-real-or-not
fffd0716301362af8da403e86cae6b0d54cf5955
[ "MIT" ]
null
null
null
train_pytorch.py
olavosamp/kaggle-real-or-not
fffd0716301362af8da403e86cae6b0d54cf5955
[ "MIT" ]
13
2020-10-25T23:00:23.000Z
2021-02-26T21:42:45.000Z
train_pytorch.py
olavosamp/kaggle-real-or-not
fffd0716301362af8da403e86cae6b0d54cf5955
[ "MIT" ]
null
null
null
from pathlib import Path import nltk import torch import libs.models as models import libs.train as train import libs.commons as commons from libs.dataset import TextDataset if __name__ == "__main__": nltk.download('stopwords') train_processed_path = Path(commons.dataset_path) / "train_processed.csv" ...
41.529412
115
0.672096
329
2,824
5.510638
0.355623
0.030336
0.019857
0.026475
0.212907
0.180916
0.142306
0.142306
0.142306
0.08053
0
0.020267
0.231232
2,824
67
116
42.149254
0.814832
0.221317
0
0
0
0
0.139918
0.056699
0
0
0
0.014925
0
1
0
false
0
0.155556
0
0.155556
0.111111
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
1
ab2a8a587b0adb269394761ae4bb665d169ebb43
8,144
py
Python
lth_reproduction/src/pruning.py
grantgasser/reproduce-lottery-ticket
d30af02827428307ba12af4cbc396eb1d72c51bb
[ "MIT" ]
1
2020-05-07T08:59:03.000Z
2020-05-07T08:59:03.000Z
lth_reproduction/src/pruning.py
grantgasser/reproduce-lottery-ticket-hypothesis
d30af02827428307ba12af4cbc396eb1d72c51bb
[ "MIT" ]
3
2020-04-29T23:18:55.000Z
2022-03-12T00:26:24.000Z
lth_reproduction/src/pruning.py
grantgasser/reproduce-lottery-ticket-hypothesis
d30af02827428307ba12af4cbc396eb1d72c51bb
[ "MIT" ]
null
null
null
import torch import torch.nn.utils.prune as prune import numpy as np from copy import deepcopy import sys sys.path.append('../src') from train import train from evaluate import test class PruneModel: def __init__(self, network, batch_size, train_loader, val_loader, test_loader, optimizer, epochs, scheduler, devi...
40.72
139
0.597127
950
8,144
4.927368
0.231579
0.039949
0.035249
0.046144
0.278146
0.185217
0.133091
0.059389
0.059389
0.059389
0
0.010589
0.315815
8,144
199
140
40.924623
0.829505
0.309553
0
0.145631
0
0
0.015339
0
0
0
0
0.01005
0.019417
1
0.067961
false
0
0.067961
0
0.174757
0.07767
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
1
ab2bc6a388f0a9dae058aa5fe31b66c9c195223d
7,035
py
Python
Code/binaryheap.py
MondaleFelix/CS-2.1-Trees-Sorting
ad6da0898a171ec90d65f02864f0e865cd52a712
[ "MIT" ]
7
2019-01-25T18:48:31.000Z
2019-09-11T00:43:01.000Z
Code/binaryheap.py
MondaleFelix/CS-2.1-Trees-Sorting
ad6da0898a171ec90d65f02864f0e865cd52a712
[ "MIT" ]
2
2019-11-11T01:21:55.000Z
2019-12-17T00:41:48.000Z
Code/binaryheap.py
MondaleFelix/CS-2.1-Trees-Sorting
ad6da0898a171ec90d65f02864f0e865cd52a712
[ "MIT" ]
19
2019-10-24T22:56:51.000Z
2022-02-16T18:01:19.000Z
#!python class BinaryMinHeap(object): """BinaryMinHeap: a partially ordered collection with efficient methods to insert new items in partial order and to access and remove its minimum item. Items are stored in a dynamic array that implicitly represents a complete binary tree with root node at index 0 ...
40.901163
80
0.611514
1,003
7,035
4.200399
0.174477
0.036316
0.039164
0.028483
0.478756
0.444814
0.419179
0.377166
0.355566
0.300024
0
0.010034
0.291684
7,035
171
81
41.140351
0.835441
0.44307
0
0.32967
0
0
0.088901
0
0
0
0
0.052632
0.032967
1
0.164835
false
0
0
0
0.307692
0.10989
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
1
ab2bdb370ded1209a0d8481356739507da439170
1,784
py
Python
text_normalizer/library/punctuation.py
Yoctol/text-normalizer
3609c10cd229c08b4623531e82d2292fc370734c
[ "MIT" ]
16
2018-04-16T08:59:34.000Z
2021-01-21T06:05:45.000Z
text_normalizer/library/punctuation.py
Yoctol/text-normalizer
3609c10cd229c08b4623531e82d2292fc370734c
[ "MIT" ]
12
2018-04-16T06:54:07.000Z
2020-04-03T19:36:07.000Z
text_normalizer/library/punctuation.py
Yoctol/text-normalizer
3609c10cd229c08b4623531e82d2292fc370734c
[ "MIT" ]
3
2019-06-03T02:21:46.000Z
2021-09-16T11:57:03.000Z
from ..factory import ReplacePatternWithToken CHINESE_PUNCTUATIONS = r"。「」﹁﹂『 』、‧( )《》〈〉 ﹏﹏﹏……—~,?;:[]【 】!" ENGLISH_PUNCTUATIONS = \ r"\!\#\$\%\&\(\)\*\+\,\-\.\/\:\;\?\@\[\]\{\}\|\~\`\_\^\<\>\=\'\"\\" ENGLISH_PUNCTUATIONS_WITHOUT_ENDPOINT = ENGLISH_PUNCTUATIONS.replace("\.", "") ENGLISH_PUNCTUATIONS_WITHOUT_UNDERS...
31.298246
80
0.710762
163
1,784
7.472393
0.196319
0.090312
0.151888
0.168309
0.752874
0.667488
0.631363
0.488506
0.456486
0.299672
0
0
0.13565
1,784
56
81
31.857143
0.778859
0
0
0.48
0
0
0.139574
0.071188
0
0
0
0
0
1
0
false
0
0.02
0
0.02
0
0
0
0
null
0
0
1
0
0
0
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
0
0
0
0
0
0
0
1
ab3f7931c9b6cb5d460628f39cd67963d4772e6b
345
py
Python
onlinecourse/migrations/0008_remove_instructor_total_learners.py
Trivikram-Sharma/django_assessment1
3d7788ef3ad3de6e7f8a906feaec719491f027ed
[ "Apache-2.0" ]
null
null
null
onlinecourse/migrations/0008_remove_instructor_total_learners.py
Trivikram-Sharma/django_assessment1
3d7788ef3ad3de6e7f8a906feaec719491f027ed
[ "Apache-2.0" ]
null
null
null
onlinecourse/migrations/0008_remove_instructor_total_learners.py
Trivikram-Sharma/django_assessment1
3d7788ef3ad3de6e7f8a906feaec719491f027ed
[ "Apache-2.0" ]
null
null
null
# Generated by Django 3.1.3 on 2022-04-04 10:33 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('onlinecourse', '0007_auto_20220216_1913'), ] operations = [ migrations.RemoveField( model_name='instructor', name='total_lea...
19.166667
52
0.611594
36
345
5.722222
0.805556
0
0
0
0
0
0
0
0
0
0
0.125
0.281159
345
17
53
20.294118
0.705645
0.130435
0
0
1
0
0.197987
0.077181
0
0
0
0
0
1
0
false
0
0.090909
0
0.363636
0
0
0
0
null
0
0
0
0
0
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
0
0
0
0
0
0
0
1
ab40d905a1c77cd98adcba1e64210cee6f95d8e2
572
py
Python
lfs/supplier/models.py
naro/django-lfs
312404370e497d00aa0f7221dc55a70a20490fb5
[ "BSD-3-Clause" ]
null
null
null
lfs/supplier/models.py
naro/django-lfs
312404370e497d00aa0f7221dc55a70a20490fb5
[ "BSD-3-Clause" ]
null
null
null
lfs/supplier/models.py
naro/django-lfs
312404370e497d00aa0f7221dc55a70a20490fb5
[ "BSD-3-Clause" ]
null
null
null
# django imports from django.contrib.auth.models import User from django.db import models from django.utils.translation import ugettext_lazy as _ class Supplier(models.Model): """ * A supplier holds all shop supplier related information * A Supplier is only created by the system administrator """ ...
30.105263
67
0.716783
75
572
5.346667
0.666667
0.074813
0
0
0
0
0
0
0
0
0
0.010753
0.187063
572
18
68
31.777778
0.851613
0.225524
0
0
0
0
0.014184
0
0
0
0
0
0
1
0.1
false
0
0.3
0.1
1
0
0
0
0
null
0
0
0
0
0
0
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
0
0
0
0
1
0
0
1
ab41279e52d1c7490b8a00addbab8e7f44970e0f
471
py
Python
leetcode/jumpGame.py
kokuraxc/play-ground
48b5291f3cca117e0cd0a17bf9255ec4dc1a5cdd
[ "MIT" ]
null
null
null
leetcode/jumpGame.py
kokuraxc/play-ground
48b5291f3cca117e0cd0a17bf9255ec4dc1a5cdd
[ "MIT" ]
null
null
null
leetcode/jumpGame.py
kokuraxc/play-ground
48b5291f3cca117e0cd0a17bf9255ec4dc1a5cdd
[ "MIT" ]
null
null
null
# https://leetcode.com/problems/jump-game/ class Solution: def canJump(self, nums: list[int]) -> bool: last = 0 for index in range(len(nums)): if index > last: return False last = max(last, index + nums[index]) if last >= len(nums) - 1: ...
23.55
49
0.526539
63
471
3.936508
0.507937
0.056452
0.112903
0.169355
0.201613
0
0
0
0
0
0
0.037975
0.329087
471
20
50
23.55
0.746835
0.084926
0
0.285714
0
0
0
0
0
0
0
0
0
1
0.071429
false
0
0
0
0.357143
0.142857
0
0
0
null
0
0
1
0
0
0
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
0
0
0
0
0
0
0
1
ab427ac1c0707eb99bb629131a70f51d5a890793
5,029
py
Python
pds_pipelines/RedisLock.py
eabovre/PDS-Pipelines
4a7a82fa3c309485154e632946c7c95008def228
[ "Unlicense" ]
null
null
null
pds_pipelines/RedisLock.py
eabovre/PDS-Pipelines
4a7a82fa3c309485154e632946c7c95008def228
[ "Unlicense" ]
null
null
null
pds_pipelines/RedisLock.py
eabovre/PDS-Pipelines
4a7a82fa3c309485154e632946c7c95008def228
[ "Unlicense" ]
null
null
null
#!/usr/bin/env python import redis from pds_pipelines.config import redis_info as ri class RedisLock(object): """A single-point of access 'lock' for Redis Queues """ def __init__(self, name): """ Parameters ---------- name : str The name of the RedisLock object ...
21.309322
83
0.460131
541
5,029
4.229205
0.236599
0.036713
0.048077
0.058129
0.403409
0.29764
0.198864
0.176136
0.176136
0.176136
0
0.002058
0.420362
5,029
235
84
21.4
0.782847
0.444422
0
0.155556
0
0
0.016374
0
0
0
0
0
0
1
0.333333
false
0
0.044444
0
0.511111
0
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
ab42f258a8dafe09033ae23809b6f917452e832b
1,305
py
Python
dfs/datanode.py
largescale-dfss/distributed-file-system
5e985bf80debb6057fbd5ea457c8f91613591e69
[ "MIT" ]
1
2015-12-19T01:58:12.000Z
2015-12-19T01:58:12.000Z
datanode.py
largescale-dfss/manager
cd360a7d201160781e7a154dddb5a27fa20252ca
[ "MIT" ]
null
null
null
datanode.py
largescale-dfss/manager
cd360a7d201160781e7a154dddb5a27fa20252ca
[ "MIT" ]
null
null
null
import os class Datanode: root = "/var/dfs_dn" def __init__(self, datanode_id): self.root = self.root + datanode_id if not (os.path.isdir(self.root) and os.path.exists(self.root)): try: os.makedirs(self.root) except OSError as exception: ...
33.461538
76
0.609962
177
1,305
4.293785
0.265537
0.105263
0.111842
0.055263
0.357895
0.315789
0.315789
0.242105
0.242105
0.242105
0
0.002139
0.283525
1,305
38
77
34.342105
0.810695
0
0
0.193548
0
0
0.027586
0
0
0
0
0
0
0
null
null
0
0.032258
null
null
0.032258
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
ab48cff309f9e54eadb23cc98268c2f8c9a29aac
706
py
Python
mmseg/models/losses/__init__.py
SeHwanJoo/mmsegmentation_body
31c4bf27c3dc0a84bfbb06a0c017c5908c17f0ac
[ "Apache-2.0" ]
null
null
null
mmseg/models/losses/__init__.py
SeHwanJoo/mmsegmentation_body
31c4bf27c3dc0a84bfbb06a0c017c5908c17f0ac
[ "Apache-2.0" ]
null
null
null
mmseg/models/losses/__init__.py
SeHwanJoo/mmsegmentation_body
31c4bf27c3dc0a84bfbb06a0c017c5908c17f0ac
[ "Apache-2.0" ]
null
null
null
# Copyright (c) OpenMMLab. All rights reserved. from .accuracy import Accuracy, accuracy from .cross_entropy_loss import (CrossEntropyLoss, binary_cross_entropy, cross_entropy, mask_cross_entropy) from .dice_loss import DiceLoss from .lovasz_loss import LovaszLoss from .utils import red...
41.529412
72
0.749292
79
706
6.35443
0.35443
0.167331
0.071713
0.083665
0.262948
0.151394
0.151394
0
0
0
0
0
0.155807
706
16
73
44.125
0.842282
0.063739
0
0
0
0
0.267071
0
0
0
0
0
0
1
0
false
0
0.5
0
0.5
0
0
0
0
null
0
0
0
0
0
0
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
0
0
1
0
0
0
0
1
ab4df2cba4d5cfd9a770749488e2fbe636249c03
320
py
Python
2019/1.py
bucsi/aoc
01c342486370d27f5a16d8944e043710502ae1e6
[ "Unlicense" ]
2
2019-12-02T15:37:09.000Z
2019-12-04T12:01:29.000Z
2019/1.py
bucsi/aoc
01c342486370d27f5a16d8944e043710502ae1e6
[ "Unlicense" ]
null
null
null
2019/1.py
bucsi/aoc
01c342486370d27f5a16d8944e043710502ae1e6
[ "Unlicense" ]
1
2019-12-05T19:37:12.000Z
2019-12-05T19:37:12.000Z
def calculate(mass): if mass < 6: return 0 return int(mass/3-2) + calculate(int(mass/3-2)) with open("1.txt", "r") as infile: print("First part solution: ", sum([int(int(x)/3)-2 for x in infile.readlines()])) print("Second part solution: ", sum([calculate(int(x)) for x in infile.readlines()]))
35.555556
89
0.621875
53
320
3.754717
0.509434
0.030151
0.080402
0.090452
0.211055
0
0
0
0
0
0
0.034615
0.1875
320
8
90
40
0.730769
0
0
0
0
0
0.153125
0
0
0
0
0
0
1
0.142857
false
0
0
0
0.428571
0.285714
0
0
0
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
0
0
0
0
0
0
0
1
ab5150fb1c36863e54cbfd177db88d8a4bfe1261
24,755
py
Python
libs/cocos/cocosnode.py
HieuLsw/blobjob.editor
c33473ffb7836a70ba3a1b2a9dd9452a9d3a1b81
[ "Naumen", "Condor-1.1", "MS-PL" ]
null
null
null
libs/cocos/cocosnode.py
HieuLsw/blobjob.editor
c33473ffb7836a70ba3a1b2a9dd9452a9d3a1b81
[ "Naumen", "Condor-1.1", "MS-PL" ]
null
null
null
libs/cocos/cocosnode.py
HieuLsw/blobjob.editor
c33473ffb7836a70ba3a1b2a9dd9452a9d3a1b81
[ "Naumen", "Condor-1.1", "MS-PL" ]
null
null
null
# ---------------------------------------------------------------------------- # cocos2d # Copyright (c) 2008 Daniel Moisset, Ricardo Quesada, Rayentray Tappa, Lucio Torre # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the follow...
31.65601
110
0.590628
3,031
24,755
4.718905
0.168261
0.010487
0.014612
0.011186
0.337342
0.291407
0.248409
0.204433
0.150947
0.128015
0
0.004667
0.324823
24,755
781
111
31.696543
0.851083
0.177015
0
0.282353
0
0
0.03994
0.001645
0
0
0
0
0
0
null
null
0.002941
0.023529
null
null
0
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
ab54eb2ff4d0bad7493cde6b117ddc915b58f573
7,101
py
Python
tests/test_wsgi_spec.py
skrytebane/meinheld
87a05b1fdd3e359454dc907343d63592590d07e5
[ "BSD-3-Clause" ]
1,186
2015-01-05T05:52:40.000Z
2022-03-31T09:44:46.000Z
tests/test_wsgi_spec.py
skrytebane/meinheld
87a05b1fdd3e359454dc907343d63592590d07e5
[ "BSD-3-Clause" ]
65
2015-03-22T07:30:43.000Z
2021-12-31T06:45:26.000Z
tests/test_wsgi_spec.py
skrytebane/meinheld
87a05b1fdd3e359454dc907343d63592590d07e5
[ "BSD-3-Clause" ]
84
2015-06-02T06:26:49.000Z
2022-02-01T09:58:23.000Z
# -*- coding: utf-8 -*- from collections import OrderedDict import os import sys from base import * import requests ASSERT_RESPONSE = b"Hello world!" RESPONSE = [b"Hello ", b"world!"] class App(BaseApp): environ = None def __call__(self, environ, start_response): status = '200 OK' response_...
28.983673
75
0.63484
877
7,101
4.989738
0.1813
0.04319
0.052102
0.047989
0.640082
0.577468
0.547303
0.508912
0.443556
0.430759
0
0.029338
0.212787
7,101
244
76
29.102459
0.753488
0.059569
0
0.540698
0
0
0.168823
0.010382
0
0
0
0
0.273256
1
0.203488
false
0
0.02907
0.063953
0.389535
0.023256
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
ab567413c7ffab37af4913c9434718eeb4a28119
435
py
Python
lfd/utils/reproduction.py
Syhen/learn-from-datasets
18b5104f1ea9f6b4e950e03958f27d7a12fdadbd
[ "MIT" ]
null
null
null
lfd/utils/reproduction.py
Syhen/learn-from-datasets
18b5104f1ea9f6b4e950e03958f27d7a12fdadbd
[ "MIT" ]
null
null
null
lfd/utils/reproduction.py
Syhen/learn-from-datasets
18b5104f1ea9f6b4e950e03958f27d7a12fdadbd
[ "MIT" ]
null
null
null
""" @created by: heyao @created at: 2021-12-09 13:30:09 """ import random import os import numpy as np import torch def seed_everything(seed=42): random.seed(seed) os.environ['PYTHONASSEED'] = str(seed) np.random.seed(seed) torch.manual_seed(seed) if torch.cuda.is_available(): torch.cuda....
20.714286
49
0.687356
62
435
4.758065
0.548387
0.108475
0.094915
0
0
0
0
0
0
0
0
0.045455
0.190805
435
20
50
21.75
0.792614
0.117241
0
0
0
0
0.031915
0
0
0
0
0
0
1
0.076923
false
0
0.307692
0
0.384615
0
0
0
0
null
0
0
0
0
0
0
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
0
0
1
0
0
0
0
1
ab5bb38dd9081444bd7c5c12e04e0fec2f2f913c
2,646
py
Python
reports/speedup.py
Lessica/StatusHub
2771f74a51a71316a435a352ef8675d3d7f16a97
[ "MIT" ]
null
null
null
reports/speedup.py
Lessica/StatusHub
2771f74a51a71316a435a352ef8675d3d7f16a97
[ "MIT" ]
null
null
null
reports/speedup.py
Lessica/StatusHub
2771f74a51a71316a435a352ef8675d3d7f16a97
[ "MIT" ]
null
null
null
#!/usr/bin/python import requests import platform if platform.system() != 'Windows': from termcolor import colored else: def colored(string, color): return string import json print colored('Jiangsu Telecom Service Speed Up Script 1.0', 'yellow') print colored('Author: i_82 <i.82@me.com>', 'yellow'...
35.28
141
0.639456
386
2,646
4.326425
0.352332
0.129341
0.032335
0.046707
0.430539
0.346707
0.346707
0.346707
0.346707
0.317365
0
0.044631
0.144747
2,646
74
142
35.756757
0.693327
0.111111
0
0.234375
0
0.015625
0.410836
0
0
0
0
0
0
0
null
null
0
0.0625
null
null
0.25
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
ab5bc636f5e94fa1e520e672cae77296b0045842
2,636
py
Python
src/generate.py
averasko/gtfs-metropoliten-by
6466f9340572a25a77a3e94d187e9c0ec506c160
[ "MIT" ]
null
null
null
src/generate.py
averasko/gtfs-metropoliten-by
6466f9340572a25a77a3e94d187e9c0ec506c160
[ "MIT" ]
null
null
null
src/generate.py
averasko/gtfs-metropoliten-by
6466f9340572a25a77a3e94d187e9c0ec506c160
[ "MIT" ]
null
null
null
# - *- coding: utf- 8 - *- import urllib import re TEST_URL = "file:input/schedule.html" URL = "http://metropoliten.by/information/schedule/" # loading STOPS data with open('./data/stops.txt', 'r') as file_stops: STOP_HEADERS = file_stops.readline().split(',') STOPS = map(lambda l: l.rstrip('\r\n').split(','), f...
27.747368
87
0.654021
433
2,636
3.755196
0.26097
0.02091
0.071956
0.01968
0.299508
0.223247
0.156212
0.082411
0.082411
0
0
0.032389
0.156677
2,636
94
88
28.042553
0.699055
0.137329
0
0.047619
0
0
0.106938
0.064074
0
0
0
0.010638
0
1
0.142857
false
0
0.031746
0.063492
0.333333
0.015873
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
1
ab5d967805da6ee543e7f7add65c8c639e2fe238
412
py
Python
app/jobs/migrations/0003_listing_currency.py
LeanidHreska/artistify-backend
4b3b4c5072dc9c676d2e98fe4c569b66c32bff0b
[ "MIT" ]
null
null
null
app/jobs/migrations/0003_listing_currency.py
LeanidHreska/artistify-backend
4b3b4c5072dc9c676d2e98fe4c569b66c32bff0b
[ "MIT" ]
null
null
null
app/jobs/migrations/0003_listing_currency.py
LeanidHreska/artistify-backend
4b3b4c5072dc9c676d2e98fe4c569b66c32bff0b
[ "MIT" ]
null
null
null
# Generated by Django 3.2 on 2021-04-25 13:36 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ("jobs", "0002_auto_20210425_1615"), ] operations = [ migrations.AddField( model_name="listing", name="cur...
21.684211
63
0.567961
42
412
5.452381
0.857143
0
0
0
0
0
0
0
0
0
0
0.109929
0.315534
412
18
64
22.888889
0.702128
0.104369
0
0
1
0
0.123209
0.065903
0
0
0
0
0
1
0
false
0
0.083333
0
0.333333
0
0
0
0
null
0
0
0
0
0
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
0
0
0
0
0
0
0
1
ab63f8fddfb06968157546c25dbdd0dbc4dee8d2
213
py
Python
languages/python/problem-xn.py
sergev/vak-opensource
e1912b83dabdbfab2baee5e7a9a40c3077349381
[ "Apache-2.0" ]
34
2016-10-29T19:50:34.000Z
2022-02-12T21:27:43.000Z
languages/python/problem-xn.py
sergev/vak-opensource
e1912b83dabdbfab2baee5e7a9a40c3077349381
[ "Apache-2.0" ]
null
null
null
languages/python/problem-xn.py
sergev/vak-opensource
e1912b83dabdbfab2baee5e7a9a40c3077349381
[ "Apache-2.0" ]
19
2017-06-19T23:04:00.000Z
2021-11-13T15:00:41.000Z
#!/usr/bin/python # -*- encoding: utf-8 -*- for n in range(2,10): for k in range(1,100): x = n * (10**k - n) if x % (10*n - 1) == 0: v = 10 * x / (10*n - 1) + n print "Для", n, "решение =", v break
19.363636
33
0.460094
42
213
2.333333
0.547619
0.142857
0.081633
0.102041
0
0
0
0
0
0
0
0.125828
0.29108
213
10
34
21.3
0.523179
0.187793
0
0
0
0
0.070175
0
0
0
0
0
0
0
null
null
0
0
null
null
0.142857
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
db3c050ccc2504b2af020fc11c4627e742becdee
1,323
py
Python
src/cbutils/cbutils.py
snarasim123/cbutils
5c00c83ccd5e731dc53bd4b4dde401bcefec7df7
[ "MIT" ]
null
null
null
src/cbutils/cbutils.py
snarasim123/cbutils
5c00c83ccd5e731dc53bd4b4dde401bcefec7df7
[ "MIT" ]
null
null
null
src/cbutils/cbutils.py
snarasim123/cbutils
5c00c83ccd5e731dc53bd4b4dde401bcefec7df7
[ "MIT" ]
null
null
null
import glob import shutil import os from pdf2image import convert_from_path, convert_from_bytes # main entry def run_help(): print("Hello !") pass def run_compress(): print("Hello !") pass def run_folder_pdfs_2_cbz(dir_name): full_name = dir_name + "/" + "*.pdf" full_list = glob.glob(full_...
23.625
88
0.657596
194
1,323
4.128866
0.345361
0.069913
0.049938
0.042447
0.088639
0
0
0
0
0
0
0.013474
0.214664
1,323
55
89
24.054545
0.757459
0.007559
0
0.219512
0
0
0.080092
0
0
0
0
0
0
1
0.121951
false
0.146341
0.097561
0
0.219512
0.097561
0
0
0
null
0
0
0
0
0
0
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
0
1
0
0
0
0
0
1
db4126c7940239d91a775f8e4fb48aca638a6b0b
1,279
py
Python
courseware/tasks_test.py
mitodl/mit-xpro
981d6c87d963837f0b9ccdd996067fe81394dba4
[ "BSD-3-Clause" ]
10
2019-02-20T18:41:32.000Z
2021-07-26T10:39:58.000Z
courseware/tasks_test.py
mitodl/mit-xpro
981d6c87d963837f0b9ccdd996067fe81394dba4
[ "BSD-3-Clause" ]
2,226
2019-02-20T20:03:57.000Z
2022-03-31T11:18:56.000Z
courseware/tasks_test.py
mitodl/mit-xpro
981d6c87d963837f0b9ccdd996067fe81394dba4
[ "BSD-3-Clause" ]
4
2020-08-26T19:26:02.000Z
2021-03-09T17:46:47.000Z
"""Courseware tasks""" import pytest from users.factories import UserFactory from courseware import tasks @pytest.mark.django_db def test_create_edx_user_from_id(mocker): """Test that create_edx_user_from_id loads a user and calls the API method to create an edX user""" patch_create_user = mocker.patch("cour...
38.757576
111
0.791243
204
1,279
4.617647
0.191176
0.104034
0.058386
0.072187
0.769639
0.701699
0.640127
0.557325
0.557325
0.523355
0
0
0.12588
1,279
32
112
39.96875
0.842576
0.239249
0
0.380952
0
0
0.120798
0.120798
0
0
0
0
0.142857
1
0.142857
false
0
0.142857
0
0.285714
0
0
0
0
null
0
0
0
0
1
0
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
0
0
0
0
0
0
0
1
db414c81a5d51f604e4d2fb5cc8c7382fec2bf71
1,964
py
Python
stage/7/D.py
srirambandi/CODE_IIT
c2d6ba7acfdf776df4ab2026af6cd74480a055b4
[ "MIT" ]
null
null
null
stage/7/D.py
srirambandi/CODE_IIT
c2d6ba7acfdf776df4ab2026af6cd74480a055b4
[ "MIT" ]
null
null
null
stage/7/D.py
srirambandi/CODE_IIT
c2d6ba7acfdf776df4ab2026af6cd74480a055b4
[ "MIT" ]
null
null
null
#!/usr/bin/env python2.5 import math, sys, os, re DEBUG = False deltas = [(-1, -1), (-1, 0), (-1, 1), (0, -1), (0, 1), (1, -1), (1, 0), (1, 1)] def getline(file, types): parts = file.readline().strip().split() got = [] for i in xrange(len(parts)): got.append(types[i](parts[i])) return got def...
28.057143
79
0.534114
281
1,964
3.686833
0.295374
0.013514
0.011583
0.011583
0.092664
0.011583
0
0
0
0
0
0.023038
0.29277
1,964
69
80
28.463768
0.722822
0.026477
0
0.036364
0
0
0.023037
0
0
0
0
0
0.018182
0
null
null
0
0.036364
null
null
0.036364
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
db42a08843cd16c251f604bd3906d89799b78cb0
1,221
py
Python
dijkstra.py
sekharkaredla/cnlab
8e1ef9a904dea5260f6b6cf968508a2847f9f15c
[ "MIT" ]
null
null
null
dijkstra.py
sekharkaredla/cnlab
8e1ef9a904dea5260f6b6cf968508a2847f9f15c
[ "MIT" ]
null
null
null
dijkstra.py
sekharkaredla/cnlab
8e1ef9a904dea5260f6b6cf968508a2847f9f15c
[ "MIT" ]
2
2018-04-16T13:25:12.000Z
2018-04-16T14:49:38.000Z
print 'shortest path algorithm using djikstras algorithm \n--------------------------------------------' inf=99999 n=input("enter number of nodes : ") def djikstra(cost,source,target): global n global inf dist=[] prev=[] selected=[] for k in range(0,n): selected.append(0) path=[] for k in range(0,n): dist....
18.784615
104
0.624079
209
1,221
3.645933
0.239234
0.064304
0.031496
0.057743
0.145669
0.098425
0
0
0
0
0
0.027641
0.170352
1,221
64
105
19.078125
0.72458
0
0
0.127273
0
0
0.182637
0.037674
0
0
0
0
0
0
null
null
0
0
null
null
0.090909
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
db4687c80e88e096829898c05624fbd4ede8a5b1
2,862
py
Python
dashboard/views.py
joshuaspring9/iot-web-platform
658ef42001dbb918c91e4d3332f43fad4f4a4aa4
[ "MIT" ]
null
null
null
dashboard/views.py
joshuaspring9/iot-web-platform
658ef42001dbb918c91e4d3332f43fad4f4a4aa4
[ "MIT" ]
null
null
null
dashboard/views.py
joshuaspring9/iot-web-platform
658ef42001dbb918c91e4d3332f43fad4f4a4aa4
[ "MIT" ]
null
null
null
from django.shortcuts import render # Create your views here. from django.urls import reverse_lazy from django.views import generic from django.utils.decorators import method_decorator from django.contrib.auth.decorators import login_required from django.contrib.auth.mixins import LoginRequiredMixin from django.contr...
32.157303
76
0.695318
333
2,862
5.825826
0.342342
0.037113
0.035052
0.025773
0.07732
0.07732
0.07732
0.07732
0.07732
0.07732
0
0.002658
0.211391
2,862
89
77
32.157303
0.85689
0.067435
0
0.095238
0
0
0.083871
0.037571
0
0
0
0
0
1
0.111111
false
0
0.174603
0.031746
0.587302
0
0
0
0
null
0
0
0
0
0
0
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
0
0
0
0
1
0
0
1
db4f62bee70baa6dc9418422d536aa23f5d2c71f
1,662
py
Python
data_collection/gazette/spiders/pb_joao_pessoa.py
Jefersonalves/diario-oficial
9a4bdfe2e31414c993d88831a67160c49a5ee657
[ "MIT" ]
1
2020-11-22T23:46:35.000Z
2020-11-22T23:46:35.000Z
data_collection/gazette/spiders/pb_joao_pessoa.py
Jefersonalves/diario-oficial
9a4bdfe2e31414c993d88831a67160c49a5ee657
[ "MIT" ]
3
2021-03-31T20:28:25.000Z
2022-03-02T14:57:15.000Z
data_collection/gazette/spiders/pb_joao_pessoa.py
Jefersonalves/diario-oficial
9a4bdfe2e31414c993d88831a67160c49a5ee657
[ "MIT" ]
null
null
null
import dateparser from gazette.items import Gazette from gazette.spiders.base import BaseGazetteSpider class PbJoaoPessoaSpider(BaseGazetteSpider): TERRITORY_ID = "2507507" EXTRA_EDITION_CSS = "td:first-child" GAZETTE_ROW_CSS = ".table-semanarios table tbody tr" GAZETTE_URL_CSS = "td:last-child a::a...
36.130435
88
0.643201
226
1,662
4.588496
0.495575
0.033751
0.040501
0.007715
0.007715
0
0
0
0
0
0
0.032643
0.244284
1,662
45
89
36.933333
0.792994
0.202768
0
0
0
0
0.203937
0.05748
0
0
0
0
0
1
0.037037
false
0
0.111111
0
0.518519
0
0
0
0
null
0
0
0
0
0
0
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
0
0
0
0
1
0
0
1
db5385f1ffb6f77546f15e9c5192932b42f8a55d
2,374
py
Python
tornadmin/utils/template.py
bhch/tornadmin
63793ebe2a084dd307ef3c8e62ccd8bda583c629
[ "BSD-3-Clause" ]
null
null
null
tornadmin/utils/template.py
bhch/tornadmin
63793ebe2a084dd307ef3c8e62ccd8bda583c629
[ "BSD-3-Clause" ]
24
2021-09-27T11:20:44.000Z
2022-01-09T18:19:34.000Z
tornadmin/utils/template.py
bhch/tornadmin
63793ebe2a084dd307ef3c8e62ccd8bda583c629
[ "BSD-3-Clause" ]
null
null
null
"""Useful functions for using in templates""" from functools import reduce def get_value(variable): """If the variable is a callable, it will be called. :TODO: If the variable is a date or datetime object, it will return formatted result. This is useful in templates to avoid having to check w...
30.435897
82
0.629739
314
2,374
4.652866
0.350318
0.071184
0.04449
0.01232
0.167009
0.102669
0.058864
0.058864
0.058864
0
0
0
0.296546
2,374
77
83
30.831169
0.87485
0.426706
0
0.147059
0
0
0.119679
0
0
0
0
0.012987
0
1
0.088235
false
0.029412
0.029412
0
0.235294
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
1
db5ad6c28db4dd65e975f3628b60b24bd58c2cff
356
py
Python
smart_imports/constants.py
Tiendil/smart-imports
c0d4b17394d3250520f0554c1f0164487a0a7971
[ "BSD-3-Clause" ]
32
2019-07-15T19:50:38.000Z
2021-09-04T07:56:19.000Z
smart_imports/constants.py
Tiendil/smart-imports
c0d4b17394d3250520f0554c1f0164487a0a7971
[ "BSD-3-Clause" ]
18
2018-06-12T17:41:08.000Z
2021-11-08T21:42:48.000Z
smart_imports/constants.py
Tiendil/smart-imports
c0d4b17394d3250520f0554c1f0164487a0a7971
[ "BSD-3-Clause" ]
8
2019-03-18T16:51:24.000Z
2021-02-24T00:44:04.000Z
import enum class SCOPE_TYPE(enum.Enum): NORMAL = 0 CLASS = 1 COMPREHENSION = 2 class VARIABLE_STATE(enum.Enum): INITIALIZED = 0 UNINITIALIZED = 1 class VARIABLE_USAGE_TYPE(enum.Enum): FULLY_DEFINED = 0 PARTIALY_DEFINED = 1 FULLY_UNDEFINED = 2 CONFIG_FILE_NAME = 'smart_imports.j...
13.692308
39
0.696629
47
356
5.021277
0.595745
0.101695
0.101695
0
0
0
0
0
0
0
0
0.032727
0.227528
356
25
40
14.24
0.825455
0
0
0
0
0
0.053521
0
0
0
0
0
0
1
0
false
0
0.142857
0
0.928571
0
0
0
0
null
0
0
0
0
0
0
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
0
0
0
0
1
0
0
1
db5d612493a251d87e38251426e08865c57a85c3
1,200
py
Python
tutorials/2_tensorflow_old/theanoTUT/theano11_classification_nn/for_you_to_practice.py
wull566/tensorflow_demo
c2c45050867cb056b8193eb53466d26b80b0ec13
[ "MIT" ]
2
2019-03-24T12:58:17.000Z
2021-05-18T06:21:21.000Z
tutorials/2_tensorflow_old/theanoTUT/theano11_classification_nn/for_you_to_practice.py
wull566/tensorflow_demo
c2c45050867cb056b8193eb53466d26b80b0ec13
[ "MIT" ]
null
null
null
tutorials/2_tensorflow_old/theanoTUT/theano11_classification_nn/for_you_to_practice.py
wull566/tensorflow_demo
c2c45050867cb056b8193eb53466d26b80b0ec13
[ "MIT" ]
null
null
null
# View more 3_python 2_tensorflow_old on my Youtube and Youku channel!!! # Youtube video tutorial: https://www.youtube.com/channel/UCdyjiB5H8Pu7aDTNVXTTpcg # Youku video tutorial: http://i.youku.com/pythontutorial # 11 - classification example """ Please note, this code is only for 3_python 3+. If you are using 3_pyt...
23.529412
113
0.694167
168
1,200
4.839286
0.595238
0.02583
0.01968
0
0
0
0
0
0
0
0
0.026511
0.214167
1,200
50
114
24
0.835631
0.474167
0
0.2
0
0
0.05892
0
0
0
0
0
0
1
0.05
false
0.1
0.2
0
0.3
0.25
0
0
0
null
0
0
0
0
0
0
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
0
1
0
0
0
0
0
1
db5e6f7c9705243c6b73c88bca63bba6b8c2a448
3,847
py
Python
Src/StdLib/Lib/test/test_setcomps.py
cwensley/ironpython2
f854444e1e08afc8850cb7c1a739a7dd2d10d32a
[ "Apache-2.0" ]
2,209
2016-11-20T10:32:58.000Z
2022-03-31T20:51:27.000Z
Src/StdLib/Lib/test/test_setcomps.py
cwensley/ironpython2
f854444e1e08afc8850cb7c1a739a7dd2d10d32a
[ "Apache-2.0" ]
1,074
2016-12-07T05:02:48.000Z
2022-03-22T02:09:11.000Z
Src/StdLib/Lib/test/test_setcomps.py
cwensley/ironpython2
f854444e1e08afc8850cb7c1a739a7dd2d10d32a
[ "Apache-2.0" ]
338
2020-04-18T08:03:10.000Z
2022-03-29T12:33:22.000Z
doctests = """ ########### Tests mostly copied from test_listcomps.py ############ Test simple loop with conditional >>> sum({i*i for i in range(100) if i&1 == 1}) 166650 Test simple case >>> {2*y + x + 1 for x in (0,) for y in (1,)} set([3]) Test simple nesting >>> list(sorted({(i,j) for i in...
25.309211
100
0.54536
594
3,847
3.473064
0.249158
0.064469
0.049443
0.090645
0.405235
0.402811
0.383907
0.336888
0.268541
0.254484
0
0.047481
0.282818
3,847
151
101
25.476821
0.700254
0.006499
0
0.358491
0
0.066038
0.857853
0.031152
0
0
0
0
0
1
0.009434
false
0
0.037736
0
0.04717
0.009434
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
db6113efe3d557d3f81fdba3f8e2f5337067ee4a
430
py
Python
docker/site/wsgi.py
timgates42/django-leonardo
c155f97fee9e2be1e0f508d47a1c205028253ecc
[ "BSD-3-Clause" ]
102
2015-04-30T12:27:14.000Z
2021-10-31T18:21:16.000Z
docker/site/wsgi.py
timgates42/django-leonardo
c155f97fee9e2be1e0f508d47a1c205028253ecc
[ "BSD-3-Clause" ]
158
2015-04-30T22:42:34.000Z
2019-09-07T15:37:22.000Z
docker/site/wsgi.py
timgates42/django-leonardo
c155f97fee9e2be1e0f508d47a1c205028253ecc
[ "BSD-3-Clause" ]
64
2015-05-10T12:00:39.000Z
2021-07-29T19:47:27.000Z
#!/usr/bin/env python import os import sys from os.path import abspath, dirname, join, normpath import django import django.core.handlers.wsgi from django.core.management import execute_from_command_line sys.path.append('/app/site') sys.path.append('/app/module') sys.path.append('/app/settings') os.environ['DJANGO_...
22.631579
60
0.783721
62
430
5.354839
0.5
0.090361
0.11747
0.144578
0
0
0
0
0
0
0
0
0.083721
430
18
61
23.888889
0.84264
0.046512
0
0
0
0
0.176039
0.05379
0
0
0
0
0
1
0
false
0
0.5
0
0.5
0
0
0
0
null
0
0
0
0
0
0
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
0
0
1
0
0
0
0
1
db62750dd56bfe140eb4972da0c859893b8d3084
9,645
py
Python
lib-other/deterministiclib/svd.py
endolith/Truthcoin
448b35fb94f27e61f5989ead7ef87e03da2e9237
[ "MIT" ]
161
2015-01-11T20:52:37.000Z
2022-02-14T04:44:13.000Z
lib-other/deterministiclib/svd.py
endolith/Truthcoin
448b35fb94f27e61f5989ead7ef87e03da2e9237
[ "MIT" ]
3
2016-04-21T10:17:06.000Z
2022-01-09T14:38:06.000Z
lib-other/deterministiclib/svd.py
endolith/Truthcoin
448b35fb94f27e61f5989ead7ef87e03da2e9237
[ "MIT" ]
40
2015-01-19T16:44:14.000Z
2022-01-09T14:09:49.000Z
# Almost exact translation of the ALGOL SVD algorithm published in # Numer. Math. 14, 403-420 (1970) by G. H. Golub and C. Reinsch # # by Thomas R. Metcalf, helicity314-stitch <at> yahoo <dot> com # # Pure Python SVD algorithm. # Input: 2-D list (m by n) with m >= n # Output: U,W V so that A = U*W*VT # Note this pr...
30.330189
100
0.410368
1,510
9,645
2.601325
0.159603
0.071283
0.027495
0.050407
0.30499
0.264002
0.235234
0.200102
0.180754
0.162169
0
0.068739
0.432867
9,645
317
101
30.425868
0.64936
0.228616
0
0.310345
0
0
0.018821
0
0
0
0
0
0.008621
0
null
null
0
0.008621
null
null
0.017241
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
db655e24bc75ac2c2fa1e645c2498e1da09d1947
709
py
Python
src/passthrough/extensions/pt/context.py
ExoMars-PanCam/passthrough
7ff9f82e4c85c40a4f2dab20bbee1c46d79d61a5
[ "MIT" ]
2
2021-05-04T04:30:37.000Z
2021-05-04T12:17:22.000Z
src/passthrough/extensions/pt/context.py
ExoMars-PanCam/passthrough
7ff9f82e4c85c40a4f2dab20bbee1c46d79d61a5
[ "MIT" ]
4
2021-05-04T16:56:49.000Z
2021-05-12T17:00:07.000Z
src/passthrough/extensions/pt/context.py
ExoMars-PanCam/passthrough
7ff9f82e4c85c40a4f2dab20bbee1c46d79d61a5
[ "MIT" ]
null
null
null
from typing import Union from lxml import etree from ...exc import PTEvalError _context_map: dict = {} def set_context_map(map_: dict): global _context_map _context_map = map_ def context_get(ctx, key): global _context_map key = _unpack(key) try: return _context_map[key] except Ke...
20.257143
87
0.684062
96
709
4.770833
0.447917
0.174672
0.113537
0.082969
0.122271
0.122271
0
0
0
0
0
0.001815
0.222849
709
34
88
20.852941
0.829401
0.205924
0
0.111111
0
0
0.08079
0
0
0
0
0.029412
0
1
0.166667
false
0
0.166667
0
0.5
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
1
db71089e2c331b4fc4d01c56cbb6ee06c6825cfa
8,141
py
Python
avi/heat/resources/clustering.py
itlinux/avi-heat
551adc130f651e1a52dcff0afc01cfa6b29a87f0
[ "Apache-2.0" ]
2
2016-08-09T21:06:52.000Z
2016-08-18T21:34:11.000Z
avi/heat/resources/clustering.py
itlinux/avi-heat
551adc130f651e1a52dcff0afc01cfa6b29a87f0
[ "Apache-2.0" ]
10
2016-08-03T00:07:51.000Z
2018-10-30T19:00:38.000Z
avi/heat/resources/clustering.py
itlinux/avi-heat
551adc130f651e1a52dcff0afc01cfa6b29a87f0
[ "Apache-2.0" ]
10
2016-06-13T20:17:19.000Z
2020-12-21T11:46:59.000Z
# GENERATED FILE - DO NOT EDIT THIS FILE UNLESS YOU ARE A WIZZARD #pylint: skip-file from heat.engine import properties from heat.engine import constraints from heat.engine import attributes from heat.common.i18n import _ from avi.heat.avi_resource import AviResource from avi.heat.avi_resource import AviNestedResource...
29.711679
167
0.640462
896
8,141
5.574777
0.162946
0.156957
0.176176
0.128128
0.645045
0.58959
0.49009
0.43003
0.36997
0.314715
0
0.007664
0.262744
8,141
273
168
29.820513
0.824558
0.067436
0
0.464286
1
0.03125
0.260565
0.027073
0
0
0
0
0
1
0.004464
false
0
0.040179
0.004464
0.232143
0
0
0
0
null
0
0
0
0
0
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
0
0
0
0
0
0
0
1
db77642eb1e40edb27b05085ebaa7bafbc750134
1,841
py
Python
cajas/movement/migrations/0005_auto_20190424_2055.py
dmontoya1/cajas
5eb3d5835250d5dafae398082200b79c1ca8063b
[ "MIT" ]
null
null
null
cajas/movement/migrations/0005_auto_20190424_2055.py
dmontoya1/cajas
5eb3d5835250d5dafae398082200b79c1ca8063b
[ "MIT" ]
null
null
null
cajas/movement/migrations/0005_auto_20190424_2055.py
dmontoya1/cajas
5eb3d5835250d5dafae398082200b79c1ca8063b
[ "MIT" ]
null
null
null
# Generated by Django 2.0.9 on 2019-04-24 20:55 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('movement', '0004_auto_20190423_1633'), ] operations = [ migrations.AlterField( model_name='move...
46.025
199
0.68604
190
1,841
6.510526
0.289474
0.045271
0.067906
0.10671
0.696847
0.651576
0.651576
0.603072
0.485044
0.485044
0
0.021132
0.20315
1,841
39
200
47.205128
0.822086
0.024443
0
0.454545
1
0
0.27592
0.09476
0
0
0
0
0
1
0
false
0
0.060606
0
0.151515
0
0
0
0
null
0
0
0
0
0
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
0
0
0
0
0
0
0
1
db7cb1debad0df6da00a2f761e20361ce78bcb2a
2,210
py
Python
tests/test_accessors.py
lpilz/xwrf
03dd271b6e591d7f601258a25ab5d6810abc6af3
[ "Apache-2.0" ]
18
2021-10-17T01:28:39.000Z
2022-01-03T16:56:37.000Z
tests/test_accessors.py
lpilz/xwrf
03dd271b6e591d7f601258a25ab5d6810abc6af3
[ "Apache-2.0" ]
33
2022-01-24T16:15:13.000Z
2022-03-18T16:36:32.000Z
tests/test_accessors.py
lpilz/xwrf
03dd271b6e591d7f601258a25ab5d6810abc6af3
[ "Apache-2.0" ]
4
2021-10-20T13:56:50.000Z
2022-01-17T13:26:12.000Z
import pandas as pd import pytest import xwrf from . import importorskip @importorskip('cf_xarray') @pytest.mark.parametrize( 'name, cf_grid_mapping_name', [('lambert_conformal', 'lambert_conformal_conic')] ) def test_postprocess(name, cf_grid_mapping_name): # Verify initial/raw state raw_ds = xwrf.tut...
35.645161
84
0.714932
320
2,210
4.7125
0.309375
0.026525
0.047745
0.071618
0.262599
0.135279
0.039788
0
0
0
0
0.010881
0.168326
2,210
61
85
36.229508
0.809576
0.117195
0
0
0
0
0.19516
0.081359
0
0
0
0
0.682927
1
0.02439
false
0
0.121951
0
0.146341
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
1
0
0
0
0
0
0
0
0
0
1
db80827a007d777942f1b71b43dc9819ea563bfa
3,048
py
Python
firebirdsql/__init__.py
mariuz/pyfirebirdsql
d9e6ce84d8a4ba98858cf5513448b3a681ee624b
[ "BSD-2-Clause" ]
null
null
null
firebirdsql/__init__.py
mariuz/pyfirebirdsql
d9e6ce84d8a4ba98858cf5513448b3a681ee624b
[ "BSD-2-Clause" ]
null
null
null
firebirdsql/__init__.py
mariuz/pyfirebirdsql
d9e6ce84d8a4ba98858cf5513448b3a681ee624b
[ "BSD-2-Clause" ]
1
2017-06-24T11:52:34.000Z
2017-06-24T11:52:34.000Z
############################################################################## # Copyright (c) 2009-2016, Hajime Nakagami<nakagami@gmail.com> # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # * ...
30.787879
80
0.720801
357
3,048
5.994398
0.490196
0.029439
0.041122
0.036449
0.128037
0.105607
0.105607
0.063551
0.063551
0.063551
0
0.004314
0.163386
3,048
98
81
31.102041
0.834902
0.444554
0
0.25
0
0
0.026473
0
0
0
0
0
0
1
0.136364
false
0.159091
0.068182
0.045455
0.5
0
0
0
0
null
0
0
0
0
0
0
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
0
1
0
0
0
0
0
1
db8429368c5427a34cd1395e10af9e6932cdf02a
394
py
Python
jobs/migrations/0004_alter_job_video.py
bharatchanddandamudi/Bharatchand_Portfolio_V1.1-deploy-
21205ec9d3263463b43422b4679b9736142f7308
[ "MIT" ]
null
null
null
jobs/migrations/0004_alter_job_video.py
bharatchanddandamudi/Bharatchand_Portfolio_V1.1-deploy-
21205ec9d3263463b43422b4679b9736142f7308
[ "MIT" ]
null
null
null
jobs/migrations/0004_alter_job_video.py
bharatchanddandamudi/Bharatchand_Portfolio_V1.1-deploy-
21205ec9d3263463b43422b4679b9736142f7308
[ "MIT" ]
null
null
null
# Generated by Django 4.0 on 2021-12-15 18:18 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('jobs', '0003_alter_job_summary'), ] operations = [ migrations.AlterField( model_name='job', name='video', ...
20.736842
68
0.591371
44
394
5.181818
0.795455
0
0
0
0
0
0
0
0
0
0
0.06383
0.284264
394
18
69
21.888889
0.744681
0.109137
0
0
1
0
0.120344
0.063037
0
0
0
0
0
1
0
false
0
0.083333
0
0.333333
0
0
0
0
null
0
0
0
0
0
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
0
0
0
0
0
0
0
1
db851c15a57ad2bcdd87a103587639b28af1b9e5
387
py
Python
src/hca/hcat/mysite/hcat/urls.py
andypohl/kent
af7a004c8f3fa909cd8c2cfc2e5bea60e3421cd1
[ "MIT" ]
171
2015-04-22T15:16:02.000Z
2022-03-18T20:21:53.000Z
src/hca/hcat/mysite/hcat/urls.py
andypohl/kent
af7a004c8f3fa909cd8c2cfc2e5bea60e3421cd1
[ "MIT" ]
60
2016-10-03T15:15:06.000Z
2022-03-30T15:21:52.000Z
src/hca/hcat/mysite/hcat/urls.py
andypohl/kent
af7a004c8f3fa909cd8c2cfc2e5bea60e3421cd1
[ "MIT" ]
80
2015-04-16T10:39:48.000Z
2022-03-29T16:36:30.000Z
from django.urls import path from . import views from . import api app_name = 'hcat' urlpatterns = [ path('', views.index, name='index'), path('project/<int:pk>/', views.ProjectDetailView.as_view(), name='project_detail'), path('project', views.ProjectListView.as_view(), name='project_list'), path('pr...
27.642857
88
0.69509
49
387
5.346939
0.428571
0.125954
0.114504
0.194656
0.396947
0.396947
0.396947
0.396947
0.396947
0
0
0
0.129199
387
13
89
29.769231
0.777448
0
0
0
0
0
0.204663
0
0
0
0
0
0
1
0
false
0
0.3
0
0.3
0
0
0
0
null
0
0
1
0
0
0
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
0
0
0
0
0
0
0
1
db874b6d3972d1c63639e9ec3df8cfe443489951
1,178
py
Python
notes/notes5.py
sec-js/onlysnarf
c8c32abb5d6b22c08fc7e29b41211530fb583b85
[ "MIT" ]
41
2019-06-08T05:50:48.000Z
2022-03-03T11:50:04.000Z
notes/notes5.py
sec-js/onlysnarf
c8c32abb5d6b22c08fc7e29b41211530fb583b85
[ "MIT" ]
5
2020-06-28T10:57:04.000Z
2021-05-25T23:24:50.000Z
notes/notes5.py
sec-js/onlysnarf
c8c32abb5d6b22c08fc7e29b41211530fb583b85
[ "MIT" ]
9
2019-10-28T15:57:43.000Z
2022-03-21T22:06:57.000Z
pip install pytest-selenium pip install pytest-variables JSON config file (capabilities.json) { "capabilities": { "video": "True", "gridlasticUser": USERNAME, "gridlasticKey": ACCESS_KEY } } #file test_pytest_selenium.py import pytest from selenium.webdriver.common.keys import Keys from selenium.webdriver.co...
25.608696
78
0.758913
157
1,178
5.547771
0.452229
0.036739
0.055109
0.061998
0.282434
0.231917
0.096441
0.096441
0.096441
0.096441
0
0.001936
0.12309
1,178
46
79
25.608696
0.841239
0.023769
0
0.216216
0
0
0.153043
0
0
0
0
0
0.054054
0
null
null
0
0.108108
null
null
0
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
db8c3080330614a99827ca7f3df4327c63e5203a
4,813
py
Python
3way_junction.py
georgejopling/piglow
75a1891985c125d55861c34646f925137ebc1e8a
[ "MIT" ]
null
null
null
3way_junction.py
georgejopling/piglow
75a1891985c125d55861c34646f925137ebc1e8a
[ "MIT" ]
null
null
null
3way_junction.py
georgejopling/piglow
75a1891985c125d55861c34646f925137ebc1e8a
[ "MIT" ]
null
null
null
# # 3way_junction.py # A Python program to simulate a 3 way traffic light # controlled road junction using Pimoroni's PiGlow. # # The PiGlow is a small add on board for the Raspberry Pi that # provides 18 individually controllable LEDs. # # For full details including setup, documentation and examples see: # https://g...
34.378571
80
0.670476
728
4,813
4.423077
0.293956
0.100621
0.060559
0.020497
0.377019
0.343789
0.327019
0.309938
0.309938
0.251242
0
0.049363
0.23395
4,813
139
81
34.625899
0.823976
0.611053
0
0.765625
0
0
0
0
0
0
0
0
0
1
0
false
0
0.046875
0
0.046875
0
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
db8d182546bd4a14274d159f93c7d92110598234
3,831
py
Python
tests/stories_test.py
bpepple/marvelous
8fb18fb0c353b0e7f2adb57720b2b7cf6688d262
[ "MIT" ]
null
null
null
tests/stories_test.py
bpepple/marvelous
8fb18fb0c353b0e7f2adb57720b2b7cf6688d262
[ "MIT" ]
5
2021-11-01T04:03:50.000Z
2021-11-14T22:08:28.000Z
tests/stories_test.py
bpepple/esak
018f10bb15abcd467b5851dbaf7cd274e0e6d0b6
[ "MIT" ]
null
null
null
""" Test Stories module. This module contains tests for Stories objects. """ import pytest from esak import exceptions def test_known_story(talker): sm = talker.story(35505) assert sm.title == "Spider-Man!" assert sm.type == "story" assert sm.thumbnail is None assert sm.creators[0].name == "Ste...
29.697674
95
0.65492
542
3,831
4.546125
0.188192
0.084416
0.048701
0.071429
0.381088
0.326299
0.288961
0.245942
0.245942
0.169237
0
0.078965
0.203341
3,831
128
96
29.929688
0.728375
0.018011
0
0.142857
0
0
0.193127
0
0
0
0
0
0.642857
1
0.081633
false
0
0.020408
0
0.102041
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
1
0
0
0
0
0
0
0
0
0
1
db8f94389d347612a463b40850d595b85755fd0d
1,058
py
Python
basiclive/core/lims/migrations/0027_fix_cassette_coords.py
znarthur/basic-live
79c194311de05af2e1bb21d1bc8c6c14dda356d0
[ "BSD-3-Clause" ]
null
null
null
basiclive/core/lims/migrations/0027_fix_cassette_coords.py
znarthur/basic-live
79c194311de05af2e1bb21d1bc8c6c14dda356d0
[ "BSD-3-Clause" ]
1
2020-12-03T15:27:09.000Z
2020-12-03T15:27:09.000Z
basiclive/core/lims/migrations/0027_fix_cassette_coords.py
znarthur/basic-live
79c194311de05af2e1bb21d1bc8c6c14dda356d0
[ "BSD-3-Clause" ]
1
2021-09-28T21:06:09.000Z
2021-09-28T21:06:09.000Z
# Generated by Django 2.2.5 on 2019-11-10 18:29 from django.db import migrations, models def fix_cassette_coords(apps, schema_editor): """ Update Cassette location coordinates to be more centered since labels are now shown entirely within each sample location """ ContainerType = apps.get_model('l...
34.129032
88
0.678639
135
1,058
5.207407
0.555556
0.099573
0.048364
0.076814
0.091038
0
0
0
0
0
0
0.043124
0.189036
1,058
30
89
35.266667
0.776224
0.157845
0
0
1
0
0.073479
0.026406
0
0
0
0
0
1
0.055556
false
0
0.055556
0
0.277778
0
0
0
0
null
0
0
0
0
0
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
0
0
0
0
0
0
0
1
db9381ec6343608654d098fd9769d293774e943f
268
py
Python
panelapp/panels/migrations/0072_merge_20190522_1553.py
genomicsengland/panelapp
f72537ae1e5ddf13eda74dd91d8018aba1890d32
[ "Apache-2.0" ]
7
2019-04-03T12:57:17.000Z
2021-11-16T12:53:14.000Z
panelapp/panels/migrations/0072_merge_20190522_1553.py
genomicsengland/panelapp
f72537ae1e5ddf13eda74dd91d8018aba1890d32
[ "Apache-2.0" ]
6
2019-04-11T01:55:22.000Z
2019-08-19T10:50:11.000Z
panelapp/panels/migrations/0072_merge_20190522_1553.py
genomicsengland/panelapp
f72537ae1e5ddf13eda74dd91d8018aba1890d32
[ "Apache-2.0" ]
5
2019-04-11T00:28:26.000Z
2019-05-15T13:03:07.000Z
# Generated by Django 2.1.3 on 2019-05-22 15:53 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('panels', '0071_auto_20190424_1526'), ('panels', '0071_comment_version'), ] operations = [ ]
17.866667
47
0.641791
32
268
5.21875
0.84375
0.11976
0
0
0
0
0
0
0
0
0
0.170732
0.235075
268
14
48
19.142857
0.643902
0.16791
0
0
1
0
0.248869
0.104072
0
0
0
0
0
1
0
false
0
0.125
0
0.5
0
0
0
0
null
0
0
0
0
0
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
0
0
0
0
0
0
0
1
dba483fdb186b0e902dd337acbc97ab93c3bfc6e
352
py
Python
traitements_images/random_image.py
Saphielle-Akiyama/python-prepa
4f566df9a690520afc487f90caba0340703f00d0
[ "Unlicense" ]
null
null
null
traitements_images/random_image.py
Saphielle-Akiyama/python-prepa
4f566df9a690520afc487f90caba0340703f00d0
[ "Unlicense" ]
null
null
null
traitements_images/random_image.py
Saphielle-Akiyama/python-prepa
4f566df9a690520afc487f90caba0340703f00d0
[ "Unlicense" ]
null
null
null
from random import randint import numpy as np from matplotlib import pyplot as plt img = np.zeros((256, 256, 3), dtype=np.uint8) a, b, _ = img.shape x, y = a / 2, b / 2 for i in range(a): for j in range(b): img[i, j] = np.array([randint(0, 255), randint(0, 255), randint(0, 255)]) fig, ax = plt.subplo...
17.6
81
0.619318
66
352
3.287879
0.530303
0.110599
0.152074
0.165899
0.152074
0.152074
0
0
0
0
0
0.08
0.21875
352
19
82
18.526316
0.709091
0
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0.25
0
0.25
0
0
0
0
null
0
0
1
0
0
0
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
0
0
0
0
0
0
0
1
dba7d5e6964cdeabe94ee7ce71b3b71561b57105
1,131
py
Python
Algorithms/Conditioning_Stability/plots.py
lcbendall/numerical_computing
565cde92525ea44c55abe933c6419c1543f9800b
[ "CC-BY-3.0" ]
null
null
null
Algorithms/Conditioning_Stability/plots.py
lcbendall/numerical_computing
565cde92525ea44c55abe933c6419c1543f9800b
[ "CC-BY-3.0" ]
null
null
null
Algorithms/Conditioning_Stability/plots.py
lcbendall/numerical_computing
565cde92525ea44c55abe933c6419c1543f9800b
[ "CC-BY-3.0" ]
1
2020-12-08T01:19:23.000Z
2020-12-08T01:19:23.000Z
import matplotlib matplotlib.rcParams = matplotlib.rc_params_from_file('../../matplotlibrc') import numpy as np from matplotlib import pyplot as plt def wilkinson_poly(): """ Reproduce the Wilkinson Polynomial example shown in the lab. """ roots = np.arange(1, 21) cfs = np.array([1, -210, 20615, -1256850,...
43.5
78
0.664014
109
1,131
6.743119
0.669725
0.053061
0
0
0
0
0
0
0
0
0
0.338691
0.229885
1,131
26
79
43.5
0.505166
0.05305
0
0
0
0
0.050752
0.021617
0
0
0
0
0
1
0.045455
false
0
0.136364
0
0.181818
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
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
1
dba7f7cde085daefb93b32e43d5cd48f75c9a2a2
309
py
Python
gen.py
bioinfohk/dna_puller
545f676bc9cd71b2ade130e8848f887baef72708
[ "MIT" ]
null
null
null
gen.py
bioinfohk/dna_puller
545f676bc9cd71b2ade130e8848f887baef72708
[ "MIT" ]
null
null
null
gen.py
bioinfohk/dna_puller
545f676bc9cd71b2ade130e8848f887baef72708
[ "MIT" ]
null
null
null
class Gen: def __init__(self, type, sequence, data_object): self.type = type self.sequence = sequence self.data_object = data_object class GenType: CDNA = 'cdna' DNA = 'dna' CDS = 'cds' class DnaType: dna = '.dna.' dna_sm = '.dna_sm.' dna_rm = '.dna_rm.'
19.3125
52
0.576052
40
309
4.175
0.4
0.179641
0.095808
0
0
0
0
0
0
0
0
0
0.297735
309
15
53
20.6
0.769585
0
0
0
0
0
0.100324
0
0
0
0
0
0
1
0.076923
false
0
0
0
0.769231
0
0
0
0
null
0
0
0
0
0
0
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
0
0
0
0
1
0
0
1
dbac17d6446e3ded53661a527d0b415f16e90012
1,926
py
Python
snewpdag/plugins/gen/TimeSeries.py
WiktorJasniak/snewpdag
56d8cbf679ccacbd08c98c4edccf152a0783f441
[ "BSD-3-Clause" ]
null
null
null
snewpdag/plugins/gen/TimeSeries.py
WiktorJasniak/snewpdag
56d8cbf679ccacbd08c98c4edccf152a0783f441
[ "BSD-3-Clause" ]
null
null
null
snewpdag/plugins/gen/TimeSeries.py
WiktorJasniak/snewpdag
56d8cbf679ccacbd08c98c4edccf152a0783f441
[ "BSD-3-Clause" ]
null
null
null
""" TimeSeries: generates a time series on each alert, based on a histogram (Should we use a kernel density estimator instead?) configuration: sig_mean: mean number of events to be generated for each alert. output added to data: 'times': times of individual events based on histogram. Use uniform dis...
30.571429
89
0.649013
286
1,926
4.304196
0.454545
0.02437
0.029245
0.021121
0
0
0
0
0
0
0
0.004695
0.225857
1,926
62
90
31.064516
0.820926
0.478712
0
0
1
0
0.048008
0
0
0
0
0
0
1
0.071429
false
0
0.178571
0
0.321429
0
0
0
0
null
0
0
0
0
0
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
0
0
0
0
0
0
0
1
dbb46b3d9a76e04adfe3482df244ad1377fd36fc
10,731
py
Python
src/design.py
mrhheffernan/js-sims-bayes
7c32dcbbfaf00abce5bd6f6ce2937a85284de7a2
[ "MIT" ]
null
null
null
src/design.py
mrhheffernan/js-sims-bayes
7c32dcbbfaf00abce5bd6f6ce2937a85284de7a2
[ "MIT" ]
null
null
null
src/design.py
mrhheffernan/js-sims-bayes
7c32dcbbfaf00abce5bd6f6ce2937a85284de7a2
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 """ Generates Latin-hypercube parameter designs. Writes input files for use with the JETSCAPE framework Run ``python design.py --help`` for usage information. .. warning:: This module uses the R `lhs package <https://cran.r-project.org/package=lhs>`_ to generate maximin Latin-hyper...
39.597786
110
0.563135
1,392
10,731
4.152299
0.25431
0.020761
0.016609
0.011419
0.17872
0.162457
0.114706
0.070415
0.041176
0.016609
0
0.040623
0.300345
10,731
270
111
39.744444
0.729222
0.278073
0
0.040268
1
0
0.184402
0.06649
0
0
0
0
0
1
0.033557
false
0
0.060403
0.006711
0.114094
0.026846
0
0
0
null
0
0
0
0
0
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
0
0
0
0
0
0
0
1
dbb55898dd8aa35483f79451273e66a64649d3e7
1,263
py
Python
zeromq/test/send_new_files.py
brettin/liquidhandling
7a96e2881ffaa0326514cf5d97ba49d65ad42a14
[ "MIT" ]
null
null
null
zeromq/test/send_new_files.py
brettin/liquidhandling
7a96e2881ffaa0326514cf5d97ba49d65ad42a14
[ "MIT" ]
null
null
null
zeromq/test/send_new_files.py
brettin/liquidhandling
7a96e2881ffaa0326514cf5d97ba49d65ad42a14
[ "MIT" ]
null
null
null
# Monitors a directory and if it sees a file or files newer that some time, # create a manifest and send a message to the message queue. from dirmon import checkDir from manifest import generateFileManifest import argparse import json import zmq context = zmq.Context() socket = context.socket(zmq.REQ) socket.connect("...
25.26
75
0.65479
172
1,263
4.75
0.47093
0.079559
0.041616
0
0
0
0
0
0
0
0
0.006079
0.218527
1,263
49
76
25.77551
0.821682
0.2019
0
0.0625
1
0
0.118236
0
0
0
0
0
0
1
0
false
0
0.15625
0
0.15625
0.09375
0
0
0
null
0
0
0
0
0
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
0
0
0
0
0
0
0
1
dbb5991400ae7517ca5c223e91541744f0352635
3,014
py
Python
tests/providers/apache/spark/operators/test_spark_sql.py
mebelousov/airflow
d99833c9b5be9eafc0c7851343ee86b6c20aed40
[ "Apache-2.0" ]
3
2019-12-11T15:54:13.000Z
2021-05-24T20:21:08.000Z
tests/providers/apache/spark/operators/test_spark_sql.py
mebelousov/airflow
d99833c9b5be9eafc0c7851343ee86b6c20aed40
[ "Apache-2.0" ]
8
2021-02-08T20:40:47.000Z
2022-03-29T22:27:53.000Z
tests/providers/apache/spark/operators/test_spark_sql.py
mebelousov/airflow
d99833c9b5be9eafc0c7851343ee86b6c20aed40
[ "Apache-2.0" ]
2
2021-01-11T13:53:03.000Z
2021-10-02T05:06:34.000Z
# # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not...
38.151899
94
0.689449
359
3,014
5.571031
0.373259
0.08
0.1425
0.1875
0.199
0.199
0.199
0.1695
0.1695
0.1695
0
0.007042
0.199071
3,014
78
95
38.641026
0.821458
0.253816
0
0.122449
0
0
0.196052
0.039928
0
0
0
0
0.306122
1
0.040816
false
0
0.081633
0
0.163265
0
0
0
0
null
0
0
1
0
0
0
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
0
0
0
0
0
0
0
1
dbb9d20c1fbe45885d785b3d24514239b1912f00
2,080
py
Python
ankify_roam/default_models.py
jacrify/ankify_roam
52e9de2170bf36e243da080fa38c4e4b6b219f98
[ "MIT" ]
null
null
null
ankify_roam/default_models.py
jacrify/ankify_roam
52e9de2170bf36e243da080fa38c4e4b6b219f98
[ "MIT" ]
null
null
null
ankify_roam/default_models.py
jacrify/ankify_roam
52e9de2170bf36e243da080fa38c4e4b6b219f98
[ "MIT" ]
null
null
null
_css_basic = """ .card { font-family: arial; font-size: 20px; text-align: center; color: black; background-color: white; } """ _css_cloze = """ .card { font-family: arial; font-size: 20px; text-align: center; color: black; background-color: white; } .cloze { font-weight: bold; color: blue; } .nightMode .c...
18.086957
74
0.569231
240
2,080
4.866667
0.379167
0.030822
0.05137
0.032534
0.284247
0.284247
0.284247
0.224315
0.224315
0.224315
0
0.040488
0.251923
2,080
115
75
18.086957
0.710154
0
0
0.284314
0
0
0.795771
0.096108
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
dbba913471ec4d94ded815f76e0698a37e0bbe9b
514
py
Python
provider/api/views.py
Unous1996/Pikachu-Housing
acd1f06ddc3b0e5b300ccd5b500e0c2bad5cd1af
[ "Apache-2.0" ]
1
2019-03-23T18:49:31.000Z
2019-03-23T18:49:31.000Z
provider/api/views.py
DeepinSC/Pikachu-Housing
453201e19812e356106c071bbf9a306931d14fa7
[ "Apache-2.0" ]
null
null
null
provider/api/views.py
DeepinSC/Pikachu-Housing
453201e19812e356106c071bbf9a306931d14fa7
[ "Apache-2.0" ]
1
2019-04-24T06:40:49.000Z
2019-04-24T06:40:49.000Z
from rest_framework import viewsets from provider.models import Provider from provider.api.paginations import ProviderPagination from serializers import ProviderSerializer from rest_framework.decorators import permission_classes from rest_framework.permissions import IsAuthenticatedOrReadOnly @permission_classes((IsA...
36.714286
64
0.859922
50
514
8.7
0.5
0.055172
0.117241
0
0
0
0
0
0
0
0
0
0.097276
514
13
65
39.538462
0.9375
0
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0.545455
0
0.909091
0
0
0
0
null
0
0
0
0
0
0
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
0
0
1
0
0
0
0
1
dbbfb83457c960a4d36570701d8e7e42063efb17
2,979
py
Python
labm8/py/decorators_test.py
ChrisCummins/labm8
913d67f4f454cedc61220a210113bbf0460bb4d5
[ "Apache-2.0" ]
3
2015-05-10T16:48:22.000Z
2021-06-03T16:50:31.000Z
labm8/py/decorators_test.py
ChrisCummins/labm8
913d67f4f454cedc61220a210113bbf0460bb4d5
[ "Apache-2.0" ]
21
2015-05-12T12:42:47.000Z
2020-08-16T12:31:08.000Z
labm8/py/decorators_test.py
ChrisCummins/labm8
913d67f4f454cedc61220a210113bbf0460bb4d5
[ "Apache-2.0" ]
2
2017-11-22T04:41:59.000Z
2020-05-31T23:13:25.000Z
# Copyright 2014-2020 Chris Cummins <chrisc.101@gmail.com>. # # 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...
22.740458
80
0.699228
421
2,979
4.788599
0.337292
0.095238
0.042163
0.062004
0.430556
0.393849
0.298611
0.273313
0.273313
0.251488
0
0.018977
0.186304
2,979
130
81
22.915385
0.812706
0.402148
0
0.46875
0
0
0.007643
0
0
0
0
0
0.140625
1
0.25
false
0
0.078125
0.015625
0.453125
0
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
dbc2316e158225ff27138f7f0fdb167a2596b067
524
py
Python
lazy_load/__init__.py
kutoga/lazy-load
0545c983c662d26c0783af462cfe3bdd7bfb1d0c
[ "MIT" ]
6
2019-05-17T08:18:05.000Z
2019-10-08T10:39:48.000Z
lazy_load/__init__.py
kutoga/lazy-load
0545c983c662d26c0783af462cfe3bdd7bfb1d0c
[ "MIT" ]
null
null
null
lazy_load/__init__.py
kutoga/lazy-load
0545c983c662d26c0783af462cfe3bdd7bfb1d0c
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """ ℒazy-ℒoad - A minimalistic interface that allows the lazy evaluation of expressions. Additional functions and wrappers allow it to easily use the lazy evaluation for functions and classes. """ from ._lazy_load import lazy, lz, lazy_func, lf, ℒ, lazy_class, lc, force_eval, fe __version__ = ...
34.933333
90
0.746183
80
524
4.6625
0.7625
0.037534
0.091153
0
0
0
0
0
0
0
0
0.013544
0.15458
524
14
91
37.428571
0.828442
0.64313
0
0
0
0
0.305085
0.158192
0
0
0
0
0
1
0
false
0
0.333333
0
0.333333
0
0
0
0
null
0
0
0
0
0
0
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
0
0
1
0
0
0
0
1
dbc58a6333712d36875d55ec7da658e8c88b6b27
1,250
py
Python
tests/test_utils.py
hille721/simple-photo-gallery-bulkcreation
0f7ff702669fee5deaca386e2e68f1c6edc68f5a
[ "MIT" ]
null
null
null
tests/test_utils.py
hille721/simple-photo-gallery-bulkcreation
0f7ff702669fee5deaca386e2e68f1c6edc68f5a
[ "MIT" ]
4
2021-03-06T09:48:01.000Z
2021-10-09T00:23:09.000Z
tests/test_utils.py
hille721/simple-photo-gallery-bulkcreation
0f7ff702669fee5deaca386e2e68f1c6edc68f5a
[ "MIT" ]
null
null
null
from pathlib import Path import platform import shutil from simplegallery_bulkcreation.utils import copytree, pltostr def test_pltostr(): if platform.system() != "Windows": assert ( str(Path("/just/an/example").absolute()) == pltostr(Path("/just/an/example")) == pltost...
30.487805
93
0.624
148
1,250
5.22973
0.405405
0.062016
0.134367
0.087855
0.529716
0.529716
0.44832
0.44832
0.44832
0.44832
0
0
0.2448
1,250
40
94
31.25
0.819915
0.1768
0
0.322581
0
0
0.3125
0.145508
0
0
0
0
0.16129
1
0.064516
true
0
0.129032
0
0.193548
0
0
0
0
null
0
0
0
0
0
0
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
0
0
0
0
0
1
dbca6267131d7fc9e7586478f6185aaf3733f947
277
py
Python
jetson/tests/saytest.py
lonerlin/SelfDrivingCVCar
8757e5eff62391e28d2fc530100b27fafafdc788
[ "Apache-2.0" ]
2
2021-07-03T02:37:58.000Z
2021-07-10T07:33:19.000Z
jetson/tests/saytest.py
lurending711/SelfDrivingCVCar
18aa6b120e05e478ac51e0311a2ebe8638129a04
[ "Apache-2.0" ]
null
null
null
jetson/tests/saytest.py
lurending711/SelfDrivingCVCar
18aa6b120e05e478ac51e0311a2ebe8638129a04
[ "Apache-2.0" ]
1
2021-07-10T07:33:21.000Z
2021-07-10T07:33:21.000Z
# _*_coding:utf-8 _*_ # @Time  :2020/8/28 0028 下午 11:07 # @Author  : Loner Lin # @File   :saytest.py # @Software :PyCharm import sys import time sys.path.append('..') from audio.say import Say s = Say() s.say(" 这里是中华人民共和国领土,请快速离开。") # time.sleep(2) s.say("佛山市南海区罗村高级中学欢迎您")
21.307692
35
0.66426
43
277
4.186047
0.72093
0.066667
0.077778
0
0
0
0
0
0
0
0
0.072961
0.158845
277
13
36
21.307692
0.699571
0.465704
0
0
0
0
0.260563
0
0
0
0
0
0
1
0
false
0
0.428571
0
0.428571
0
0
0
0
null
0
0
0
0
0
0
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
0
0
1
0
0
0
0
1
dbcd56095c3008f94677efac1badb19687de67ac
288
py
Python
06. Python-Fundamentals-Files-and-Errors/02 Line numbers.py
Bugzey/Softuni-Python-Fundamentals
6f66e143809988398896cfc771cce1db9220df27
[ "MIT" ]
1
2021-01-31T00:14:08.000Z
2021-01-31T00:14:08.000Z
06. Python-Fundamentals-Files-and-Errors/02 Line numbers.py
Bugzey/Softuni-Python-Fundamentals
6f66e143809988398896cfc771cce1db9220df27
[ "MIT" ]
null
null
null
06. Python-Fundamentals-Files-and-Errors/02 Line numbers.py
Bugzey/Softuni-Python-Fundamentals
6f66e143809988398896cfc771cce1db9220df27
[ "MIT" ]
null
null
null
# Insert line numbers in_file = open('Resources/02. Line Numbers/Input.txt', 'r').read().split('\n') result = [str(number + 1) + '. ' + item for number, item in enumerate(in_file)][:-1] print(*result, sep = '\n') out_str = '\n'.join(result) open('output/02.txt', 'w').write(out_str)
28.8
84
0.631944
46
288
3.869565
0.608696
0.123596
0
0
0
0
0
0
0
0
0
0.024096
0.135417
288
9
85
32
0.690763
0.065972
0
0
0
0
0.223485
0
0
0
0
0
0
1
0
false
0
0
0
0
0.2
0
0
0
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
0
0
0
0
0
0
0
1
dbd781c4e49b976114458433160e622316423e66
854
py
Python
src/onegov/town6/views/payment.py
politbuero-kampagnen/onegov-cloud
20148bf321b71f617b64376fe7249b2b9b9c4aa9
[ "MIT" ]
null
null
null
src/onegov/town6/views/payment.py
politbuero-kampagnen/onegov-cloud
20148bf321b71f617b64376fe7249b2b9b9c4aa9
[ "MIT" ]
null
null
null
src/onegov/town6/views/payment.py
politbuero-kampagnen/onegov-cloud
20148bf321b71f617b64376fe7249b2b9b9c4aa9
[ "MIT" ]
null
null
null
from onegov.core.security import Private from onegov.form import merge_forms from onegov.org.views.payment import view_payments, export_payments from onegov.town6 import TownApp from onegov.org.forms import DateRangeForm, ExportForm from onegov.pay import PaymentCollection from onegov.town6.layout import PaymentCollec...
30.5
79
0.784543
100
854
6.6
0.34
0.106061
0.115152
0.069697
0.087879
0
0
0
0
0
0
0.002699
0.132319
854
27
80
31.62963
0.887989
0
0
0.090909
0
0
0.028103
0
0
0
0
0
0
1
0.090909
false
0
0.318182
0.090909
0.5
0
0
0
0
null
0
0
0
0
0
0
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
0
0
1
0
0
0
0
1
dbd9f8c0ab0a6f84e8668ea9ffc03e758beffe04
1,252
py
Python
pycaption/__init__.py
vpaul-dev/pycaption-github-release-notes
d265389807f76330196093e5231d2bf5c699619d
[ "Apache-2.0" ]
183
2015-01-26T00:28:48.000Z
2022-03-29T19:51:55.000Z
pycaption/__init__.py
vpaul-dev/pycaption-github-release-notes
d265389807f76330196093e5231d2bf5c699619d
[ "Apache-2.0" ]
132
2015-01-06T08:11:11.000Z
2022-03-31T19:30:57.000Z
pycaption/__init__.py
vpaul-dev/pycaption-github-release-notes
d265389807f76330196093e5231d2bf5c699619d
[ "Apache-2.0" ]
150
2015-01-16T18:03:59.000Z
2022-03-16T01:11:10.000Z
from .base import ( CaptionConverter, CaptionNode, Caption, CaptionList, CaptionSet, ) from .dfxp import DFXPWriter, DFXPReader from .microdvd import MicroDVDReader, MicroDVDWriter from .sami import SAMIReader, SAMIWriter from .srt import SRTReader, SRTWriter from .scc import SCCReader, SCCWriter from .scc.translat...
31.3
79
0.739617
116
1,252
7.896552
0.448276
0.039301
0.063319
0.085153
0
0
0
0
0
0
0
0
0.160543
1,252
39
80
32.102564
0.871551
0.08147
0
0
0
0
0.237168
0.038053
0
0
0
0
0
1
0.035714
false
0
0.321429
0
0.428571
0
0
0
0
null
0
0
0
0
0
0
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
0
0
1
0
0
0
0
1
dbddba900443c74037c8991082aa6a82df0e876d
1,329
py
Python
cloudmesh_cmd3/plugins/cm_shell_debug.py
JulienPalard/cloudmesh
1759b88daef3a13917492d028fdabe08f03ca996
[ "Apache-2.0" ]
null
null
null
cloudmesh_cmd3/plugins/cm_shell_debug.py
JulienPalard/cloudmesh
1759b88daef3a13917492d028fdabe08f03ca996
[ "Apache-2.0" ]
4
2021-06-08T20:20:08.000Z
2022-03-11T23:30:22.000Z
cloudmesh_cmd3/plugins/cm_shell_debug.py
JulienPalard/cloudmesh
1759b88daef3a13917492d028fdabe08f03ca996
[ "Apache-2.0" ]
null
null
null
from __future__ import print_function from cmd3.shell import command from cloudmesh.config.cm_config import cm_config_server from cloudmesh_base.logger import LOGGER log = LOGGER(__file__) class cm_shell_debug: def activate_cm_shell_debug(self): self.register_command_topic('cloud', 'debug') @command...
27.122449
55
0.58766
153
1,329
4.836601
0.313725
0.108108
0.17027
0.17027
0.464865
0.381081
0.381081
0.381081
0.381081
0.381081
0
0.001109
0.321294
1,329
48
56
27.6875
0.81929
0.06471
0
0.344828
0
0
0.137405
0.079729
0
0
0
0
0
1
0.068966
false
0
0.137931
0
0.241379
0.103448
0
0
0
null
0
0
1
0
0
0
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
0
0
0
0
0
0
0
1
915686d5bdd661a3267da1bfd198871bb037c5d9
11,458
py
Python
h2o-py/h2o/backend/cluster.py
gkirok/h2o-3
b128be6644c685cb6059444a1dbd5106f76f2672
[ "Apache-2.0" ]
2
2018-09-20T03:28:46.000Z
2018-12-06T21:39:29.000Z
h2o-py/h2o/backend/cluster.py
gkirok/h2o-3
b128be6644c685cb6059444a1dbd5106f76f2672
[ "Apache-2.0" ]
2
2021-06-02T02:24:03.000Z
2021-11-15T17:51:49.000Z
h2o-py/h2o/backend/cluster.py
gkirok/h2o-3
b128be6644c685cb6059444a1dbd5106f76f2672
[ "Apache-2.0" ]
1
2019-04-15T10:08:42.000Z
2019-04-15T10:08:42.000Z
# -*- encoding: utf-8 -*- """Information about the backend H2O cluster.""" from __future__ import division, print_function, absolute_import, unicode_literals import sys import time import h2o from h2o.exceptions import H2OConnectionError, H2OServerError from h2o.display import H2ODisplay from h2o.utils.compatibility ...
35.583851
170
0.607523
1,393
11,458
4.818378
0.256281
0.034267
0.042461
0.048123
0.110697
0.047229
0.036502
0.027265
0.027265
0.027265
0
0.011018
0.271252
11,458
321
171
35.694704
0.792814
0.286525
0
0.132184
0
0
0.184352
0.018841
0
0
0
0.003115
0.017241
1
0.195402
false
0
0.057471
0.109195
0.431034
0.005747
0
0
0
null
0
0
0
0
0
0
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
0
0
0
1
0
0
0
1
915c415cd6e851966d9008411577896308c6267b
6,150
py
Python
tests/test_rules.py
OpenNewsLabs/open-project-linter
f91934775b524d994f3da091235e2a54c6827abe
[ "Apache-2.0" ]
10
2017-03-07T17:51:28.000Z
2021-02-28T12:23:29.000Z
tests/test_rules.py
OpenNewsLabs/open-project-linter
f91934775b524d994f3da091235e2a54c6827abe
[ "Apache-2.0" ]
32
2017-02-01T20:15:55.000Z
2018-01-08T20:16:23.000Z
tests/test_rules.py
OpenNewsLabs/open-project-linter
f91934775b524d994f3da091235e2a54c6827abe
[ "Apache-2.0" ]
4
2017-02-10T21:17:16.000Z
2020-05-10T05:44:51.000Z
#!/usr/bin/env python3 """ Automated tests for openlinter.rules using pytest. Run from the openlinter root directory with $ pytest tests/test_rules.py """ import pytest import git from openlinter.rules import * # Test fixtures @pytest.fixture() def setup_empty_repo(tmpdir): # tmpdir is a LocalPath, git chokes...
33.977901
95
0.773496
887
6,150
4.993236
0.130778
0.061413
0.062317
0.050802
0.694513
0.575751
0.457214
0.337322
0.287198
0.159178
0
0.00056
0.129268
6,150
180
96
34.166667
0.826517
0.136098
0
0.333333
0
0
0.12949
0.056333
0
0
0
0
0.2
1
0.304762
false
0
0.028571
0
0.333333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
91641db7bc9e5c42bb376cf870acf52357d1a86c
461
py
Python
Curso_Python/Secao2-Python-Basico-Logica-Programacao/22_operadores_logicos/22_operadores_logicos.py
pedrohd21/Cursos-Feitos
b223aad83867bfa45ad161d133e33c2c200d42bd
[ "MIT" ]
null
null
null
Curso_Python/Secao2-Python-Basico-Logica-Programacao/22_operadores_logicos/22_operadores_logicos.py
pedrohd21/Cursos-Feitos
b223aad83867bfa45ad161d133e33c2c200d42bd
[ "MIT" ]
null
null
null
Curso_Python/Secao2-Python-Basico-Logica-Programacao/22_operadores_logicos/22_operadores_logicos.py
pedrohd21/Cursos-Feitos
b223aad83867bfa45ad161d133e33c2c200d42bd
[ "MIT" ]
null
null
null
""" Operadores logicos - aula 4 and, or not in e not in """ # (verdadeiro e False) = Falso #comparação1 and comparação #verdadeiro OU Verdadeiro #comp1 or comp2 #Not inverter uma expressão #Comando in muito utilllll nome = 'Pedro' if 'Ped' in nome: #todo: Muito util print('Existe o texto.') else: print('N...
16.464286
43
0.672451
68
461
4.558824
0.573529
0.048387
0.116129
0.109677
0
0
0
0
0
0
0
0.016438
0.208243
461
27
44
17.074074
0.832877
0.498915
0
0.4
0
0
0.344186
0
0
0
0
0.037037
0
1
0
false
0
0
0
0
0.4
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
1
9165330ca5d4dd372f2d6114c45d9b55a150d3c6
7,418
py
Python
ML_venv/Lib/site-packages/jupyter_client/tests/utils.py
ashokjohn/ML_RealWorld
8508c8cd6a9fd0467ee68954850179ab2506bc04
[ "MIT" ]
null
null
null
ML_venv/Lib/site-packages/jupyter_client/tests/utils.py
ashokjohn/ML_RealWorld
8508c8cd6a9fd0467ee68954850179ab2506bc04
[ "MIT" ]
null
null
null
ML_venv/Lib/site-packages/jupyter_client/tests/utils.py
ashokjohn/ML_RealWorld
8508c8cd6a9fd0467ee68954850179ab2506bc04
[ "MIT" ]
null
null
null
"""Testing utils for jupyter_client tests """ import os import sys from tempfile import TemporaryDirectory from typing import Dict from unittest.mock import patch import pytest from jupyter_client import AsyncKernelManager from jupyter_client import AsyncMultiKernelManager from jupyter_client import KernelManager fr...
30.154472
97
0.681316
877
7,418
5.563284
0.220068
0.072146
0.081779
0.070096
0.477762
0.454601
0.420783
0.414224
0.393318
0.365854
0
0.001911
0.224184
7,418
245
98
30.277551
0.845873
0.21677
0
0.26087
0
0
0.06586
0.022072
0
0
0
0
0.014493
1
0.26087
false
0
0.07971
0.021739
0.507246
0
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
916b8466c5f7ef12de0fed0c35ccde5fce32037e
1,596
py
Python
train.py
wpwei/attention_to_route
022020cd44f4ae3c84b95c680a3c3b0cffffa1f5
[ "MIT" ]
5
2020-04-19T03:56:30.000Z
2021-09-10T11:52:27.000Z
train.py
wpwei/attention_to_route
022020cd44f4ae3c84b95c680a3c3b0cffffa1f5
[ "MIT" ]
null
null
null
train.py
wpwei/attention_to_route
022020cd44f4ae3c84b95c680a3c3b0cffffa1f5
[ "MIT" ]
1
2020-06-07T07:31:43.000Z
2020-06-07T07:31:43.000Z
from pytorch_lightning import Trainer from models import TSPAgent from argparse import ArgumentParser def main(args): model = TSPAgent(args) trainer = Trainer.from_argparse_args(args) trainer.fit(model) trainer.save_checkpoint(f'tsp{args.n_node}_ep{trainer.current_epoch}.ckpt') if __name__ == '__mai...
32.571429
79
0.702381
222
1,596
4.810811
0.355856
0.143258
0.270599
0.079588
0.132959
0.132959
0.132959
0.132959
0
0
0
0.025811
0.150376
1,596
48
80
33.25
0.761799
0.062657
0
0
0
0
0.159946
0.031586
0
0
0
0
0
1
0.034483
false
0
0.103448
0
0.137931
0
0
0
0
null
0
1
0
0
0
0
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
0
0
0
0
0
0
0
1
916d83a92b20ad7bf3725df8573c9b58dee7f035
1,139
py
Python
extract_features.py
KiLJ4EdeN/DeepCOVID
3df626f09658c4c0d8f91a00886d9ab04106154b
[ "MIT" ]
8
2020-06-24T13:48:27.000Z
2020-12-15T06:29:37.000Z
extract_features.py
KiLJ4EdeN/DeepCOVID
3df626f09658c4c0d8f91a00886d9ab04106154b
[ "MIT" ]
null
null
null
extract_features.py
KiLJ4EdeN/DeepCOVID
3df626f09658c4c0d8f91a00886d9ab04106154b
[ "MIT" ]
2
2020-06-24T13:49:07.000Z
2020-09-29T10:15:34.000Z
# this code performes a dimension reduction on the dataset, # using a DenseNet121 pretrained model. import tensorflow as tf from scipy.io import loadmat, savemat import numpy as np FV = loadmat('images.mat') data = FV['data'] labels = FV['labels'] print(data.shape) labels = labels.transpose() labels = labels.ravel()...
29.973684
80
0.699737
160
1,139
4.94375
0.5125
0.035398
0.03287
0.040455
0.042984
0
0
0
0
0
0
0.030884
0.175593
1,139
37
81
30.783784
0.811502
0.236172
0
0
0
0
0.060325
0
0
0
0
0.027027
0
1
0
false
0
0.12
0
0.12
0.08
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
1
916ee6d1ee86736f733c6a2f7e6680abb5cf4cae
3,271
py
Python
build/go/gen_library_metadata.py
wwjiang007/fuchsia-1
0db66b52b5bcd3e27c8b8c2163925309e8522f94
[ "BSD-2-Clause" ]
210
2019-02-05T12:45:09.000Z
2022-03-28T07:59:06.000Z
build/go/gen_library_metadata.py
wwjiang007/fuchsia-1
0db66b52b5bcd3e27c8b8c2163925309e8522f94
[ "BSD-2-Clause" ]
56
2021-06-03T03:16:25.000Z
2022-03-20T01:07:44.000Z
build/go/gen_library_metadata.py
wwjiang007/fuchsia-1
0db66b52b5bcd3e27c8b8c2163925309e8522f94
[ "BSD-2-Clause" ]
73
2019-03-06T18:55:23.000Z
2022-03-26T12:04:51.000Z
#!/usr/bin/env python3.8 # Copyright 2018 The Fuchsia Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import argparse import json import os import sys class Source(object): def __init__(self, name, path, file): self.name...
32.71
79
0.634668
438
3,271
4.568493
0.308219
0.038481
0.031984
0.028486
0.113943
0.047976
0.047976
0.047976
0
0
0
0.004896
0.250688
3,271
99
80
33.040404
0.811506
0.094161
0
0.065789
0
0
0.135656
0
0
0
0
0.010101
0
1
0.078947
false
0
0.052632
0.039474
0.197368
0.026316
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
1
9174b78ea12e7b8ca4b0bd879ec4680ea401d334
2,899
py
Python
pytest_splunk_addon/helmut/manager/indexes/__init__.py
monishshah18/pytest-splunk-addon
1600f2c7d30ec304e9855642e63511780556b406
[ "Apache-2.0" ]
null
null
null
pytest_splunk_addon/helmut/manager/indexes/__init__.py
monishshah18/pytest-splunk-addon
1600f2c7d30ec304e9855642e63511780556b406
[ "Apache-2.0" ]
null
null
null
pytest_splunk_addon/helmut/manager/indexes/__init__.py
monishshah18/pytest-splunk-addon
1600f2c7d30ec304e9855642e63511780556b406
[ "Apache-2.0" ]
null
null
null
""" @author: Nicklas Ansman-Giertz @contact: U{ngiertz@splunk.com<mailto:ngiertz@splunk.com>} @since: 2011-11-23 """ from abc import abstractmethod from pytest_splunk_addon.helmut.manager import Manager from pytest_splunk_addon.helmut.misc.collection import Collection from pytest_splunk_addon.helmut.misc.manager_utils...
28.99
79
0.706451
347
2,899
5.674352
0.380403
0.050279
0.056882
0.074657
0.257999
0.203149
0.117826
0.076181
0.076181
0.076181
0
0.004373
0.211107
2,899
99
80
29.282828
0.856581
0.303898
0
0.113636
0
0
0.106312
0.05814
0
0
0
0
0
1
0.136364
false
0.068182
0.181818
0
0.431818
0
0
0
0
null
0
0
0
0
0
0
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
0
1
0
0
0
0
0
1
917bfa64c071b3f1fc1180ce9f2ae1a496b82977
1,020
py
Python
205 Isomorphic Strings.py
ChiFire/legend_LeetCode
93fe97fef7e929fdbdc25fbb53955d44e14ecff8
[ "MIT" ]
872
2015-06-15T12:02:41.000Z
2022-03-30T08:44:35.000Z
205 Isomorphic Strings.py
ChiFire/legend_LeetCode
93fe97fef7e929fdbdc25fbb53955d44e14ecff8
[ "MIT" ]
8
2015-06-21T15:11:59.000Z
2022-02-01T11:22:34.000Z
205 Isomorphic Strings.py
ChiFire/legend_LeetCode
93fe97fef7e929fdbdc25fbb53955d44e14ecff8
[ "MIT" ]
328
2015-06-28T03:10:35.000Z
2022-03-29T11:05:28.000Z
""" Given two strings s and t, determine if they are isomorphic. Two strings are isomorphic if the characters in s can be replaced to get t. All occurrences of a character must be replaced with another character while preserving the order of characters. No two characters may map to the same character but a character ...
24.285714
119
0.570588
153
1,020
3.777778
0.496732
0.013841
0.017301
0.013841
0.017301
0
0
0
0
0
0
0
0.329412
1,020
41
120
24.878049
0.845029
0.55
0
0
0
0
0.014599
0
0
0
0
0
0
1
0.071429
false
0.071429
0
0
0.285714
0
0
0
0
null
0
0
0
0
0
0
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
0
1
0
0
0
0
0
1
917c8d27319a4a607db2d92171864b4d93ac86c0
2,726
py
Python
engine/config.py
ainterr/scoring_engine
d986eef08dcb819add20ed87d91239f887f62daa
[ "MIT" ]
null
null
null
engine/config.py
ainterr/scoring_engine
d986eef08dcb819add20ed87d91239f887f62daa
[ "MIT" ]
7
2016-02-24T21:01:22.000Z
2017-01-04T03:22:44.000Z
engine/config.py
ainterr/scoring_engine
d986eef08dcb819add20ed87d91239f887f62daa
[ "MIT" ]
2
2016-03-04T17:04:48.000Z
2020-01-30T21:03:49.000Z
# Searvice Check Config #### Global DOMAIN = 'TEAM' ### HTTP HTTP_PAGES = [ { 'url':'', 'expected':'index.html', 'tolerance': 0.05 }, ] ### HTTPS HTTPS_PAGES = [ { 'url':'', 'expected':'index.html', 'tolerance': 0.05 }, ] ### DNS DNS_QUERIES = [ { 'type':'A', 'query':'team.local', 'expected':'216.239.32...
31.697674
197
0.556126
305
2,726
4.891803
0.37377
0.080429
0.087131
0.113941
0.128686
0.128686
0.104558
0.104558
0.05496
0
0
0.082011
0.168012
2,726
85
198
32.070588
0.575838
0.046955
0
0.068966
0
0
0.50039
0.055035
0
0
0
0
0
1
0
false
0.068966
0
0
0
0
0
0
0
null
0
0
0
0
0
0
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
0
1
0
0
0
0
0
1
917cd30fb15106752a4b664cbe7c55d1119fa197
730
py
Python
quotes/migrations/0003_auto_20190730_2054.py
quattad/django-web-app
410e70140f912fd139ed75ad626615f977da0dba
[ "MIT" ]
null
null
null
quotes/migrations/0003_auto_20190730_2054.py
quattad/django-web-app
410e70140f912fd139ed75ad626615f977da0dba
[ "MIT" ]
26
2019-09-09T14:11:35.000Z
2022-03-21T22:17:27.000Z
quotes/migrations/0003_auto_20190730_2054.py
quattad/quote-buddy
410e70140f912fd139ed75ad626615f977da0dba
[ "MIT" ]
null
null
null
# Generated by Django 2.2.3 on 2019-07-30 12:54 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('quotes', '0002_auto_20190722_2143'), ] operations = [ migrations.AddField( model_name='quote', name='no_user_favouri...
25.172414
58
0.582192
72
730
5.722222
0.611111
0.065534
0.101942
0.131068
0.417476
0.417476
0.203884
0.203884
0
0
0
0.065347
0.308219
730
28
59
26.071429
0.750495
0.061644
0
0.454545
1
0
0.125915
0.033675
0
0
0
0
0
1
0
false
0
0.045455
0
0.181818
0
0
0
0
null
0
0
0
0
0
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
0
0
0
0
0
0
0
1
917d11732b626aa6f72349d47aa165b6317a2bf0
19,433
py
Python
Scripts/simulation/situations/bouncer/bouncer_request.py
velocist/TS4CheatsInfo
b59ea7e5f4bd01d3b3bd7603843d525a9c179867
[ "Apache-2.0" ]
null
null
null
Scripts/simulation/situations/bouncer/bouncer_request.py
velocist/TS4CheatsInfo
b59ea7e5f4bd01d3b3bd7603843d525a9c179867
[ "Apache-2.0" ]
null
null
null
Scripts/simulation/situations/bouncer/bouncer_request.py
velocist/TS4CheatsInfo
b59ea7e5f4bd01d3b3bd7603843d525a9c179867
[ "Apache-2.0" ]
null
null
null
# uncompyle6 version 3.7.4 # Python bytecode 3.7 (3394) # Decompiled from: Python 3.7.9 (tags/v3.7.9:13c94747c7, Aug 17 2020, 18:58:18) [MSC v.1900 64 bit (AMD64)] # Embedded file name: T:\InGame\Gameplay\Scripts\Server\situations\bouncer\bouncer_request.py # Compiled at: 2020-05-05 20:26:12 # Size of source mod 2**32:...
38.253937
459
0.720681
2,260
19,433
5.778761
0.125664
0.039587
0.036447
0.027871
0.570444
0.457274
0.350383
0.299005
0.267688
0.238974
0
0.005993
0.210107
19,433
508
460
38.253937
0.844821
0.016467
0
0.482673
0
0
0.031245
0
0
0
0
0
0.004951
0
null
null
0.009901
0.037129
null
null
0
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
9182fcdb7c7529f0c6f6bc821ab2888cb71375a6
8,800
py
Python
DANE/handlers/base_handler.py
CLARIAH/DANE
c27b11d6fe6dc1da5097d90b32bcee64fdc27837
[ "Apache-2.0" ]
2
2020-11-24T11:03:14.000Z
2021-03-25T13:25:35.000Z
DANE/handlers/base_handler.py
CLARIAH/DANE
c27b11d6fe6dc1da5097d90b32bcee64fdc27837
[ "Apache-2.0" ]
null
null
null
DANE/handlers/base_handler.py
CLARIAH/DANE
c27b11d6fe6dc1da5097d90b32bcee64fdc27837
[ "Apache-2.0" ]
null
null
null
# Copyright 2020-present, Netherlands Institute for Sound and Vision (Nanne van Noord) # # 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 # #...
30.24055
86
0.608977
1,116
8,800
4.732079
0.210573
0.039765
0.082749
0.023859
0.323992
0.240485
0.224768
0.194092
0.194092
0.194092
0
0.005748
0.308068
8,800
290
87
30.344828
0.861554
0.605795
0
0.6
0
0
0
0
0
0
0
0
0
1
0.342857
false
0
0.014286
0
0.671429
0
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
9183331e0000e2a39e408f9f1e987c7ff2b44727
20,397
py
Python
causalnlp/core/causalinference.py
vishalbelsare/causalnlp
c21406f3ca40fd951e52e777d923c4331b2d46d1
[ "Apache-2.0" ]
66
2021-05-30T08:15:39.000Z
2022-02-03T11:29:50.000Z
causalnlp/core/causalinference.py
vishalbelsare/causalnlp
c21406f3ca40fd951e52e777d923c4331b2d46d1
[ "Apache-2.0" ]
1
2021-10-20T04:51:27.000Z
2021-10-20T04:51:27.000Z
causalnlp/core/causalinference.py
vishalbelsare/causalnlp
c21406f3ca40fd951e52e777d923c4331b2d46d1
[ "Apache-2.0" ]
4
2021-08-24T14:24:03.000Z
2022-01-23T03:41:40.000Z
# AUTOGENERATED! DO NOT EDIT! File to edit: nbs/00a_core.causalinference.ipynb (unless otherwise specified). __all__ = ['CausalInferenceModel', 'metalearner_cls_dict', 'metalearner_reg_dict'] # Cell import pandas as pd pd.set_option('display.max_columns', 500) import time from ..meta.tlearner import BaseTClassifier,...
45.226164
130
0.580527
2,271
20,397
5.036548
0.211801
0.010491
0.006819
0.007869
0.165588
0.11759
0.091187
0.075975
0.060762
0.043189
0
0.010291
0.328284
20,397
451
131
45.226164
0.824538
0.244693
0
0.086957
1
0
0.105024
0.006297
0
0
0
0
0
1
0.050725
false
0
0.108696
0.003623
0.210145
0.039855
0
0
0
null
0
0
0
0
0
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
0
0
0
0
0
0
0
1
918ca588d7488638d559d194870cb7e79f747e0b
5,195
py
Python
dog-agent-game/ml-agents-envs/mlagents/envs/communicator_objects/demonstration_meta_proto_pb2.py
antopraju/FiRescue
a67c8fa3ee3422f6c6979ed242d6d68309b4230f
[ "MIT" ]
58
2019-06-13T16:35:40.000Z
2021-12-30T03:16:45.000Z
dog-agent-game/ml-agents-envs/mlagents/envs/communicator_objects/demonstration_meta_proto_pb2.py
antopraju/FiRescue
a67c8fa3ee3422f6c6979ed242d6d68309b4230f
[ "MIT" ]
7
2020-01-28T23:08:10.000Z
2022-03-12T00:06:11.000Z
dog-agent-game/ml-agents-envs/mlagents/envs/communicator_objects/demonstration_meta_proto_pb2.py
antopraju/FiRescue
a67c8fa3ee3422f6c6979ed242d6d68309b4230f
[ "MIT" ]
23
2019-06-25T17:09:32.000Z
2021-03-18T06:44:17.000Z
# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: mlagents/envs/communicator_objects/demonstration_meta_proto.proto import sys _b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1")) from google.protobuf import descriptor as _descriptor from google.p...
33.301282
445
0.637536
521
5,195
6.069098
0.274472
0.040481
0.090765
0.051233
0.460468
0.398482
0.363694
0.33112
0.270398
0.270398
0
0.037985
0.27026
5,195
155
446
33.516129
0.796096
0.059095
0
0.518248
1
0.007299
0.227208
0.203647
0
0
0
0
0
1
0
false
0
0.036496
0
0.036496
0
0
0
0
null
0
0
0
0
0
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
0
0
0
0
0
0
0
1
91931a11e2dae6d3326e9b6dea96d321fbd54c7f
15,934
py
Python
front-end/testsuite-python-lib/Python-2.2/Lib/email/Message.py
MalloyPower/parsing-python
b2bca5eed07ea2af7a2001cd4f63becdfb0570be
[ "MIT" ]
1
2020-11-26T18:53:46.000Z
2020-11-26T18:53:46.000Z
front-end/testsuite-python-lib/Python-2.2/Lib/email/Message.py
MalloyPower/parsing-python
b2bca5eed07ea2af7a2001cd4f63becdfb0570be
[ "MIT" ]
null
null
null
front-end/testsuite-python-lib/Python-2.2/Lib/email/Message.py
MalloyPower/parsing-python
b2bca5eed07ea2af7a2001cd4f63becdfb0570be
[ "MIT" ]
1
2019-04-11T11:27:01.000Z
2019-04-11T11:27:01.000Z
# Copyright (C) 2001 Python Software Foundation # Author: barry@zope.com (Barry Warsaw) """Basic message object for the email package object model. """ from __future__ import generators import re import base64 import quopri from cStringIO import StringIO from types import ListType # Intrapackage imports import Erro...
35.252212
79
0.603615
2,038
15,934
4.655054
0.179097
0.030147
0.023295
0.007379
0.291135
0.220196
0.189733
0.135765
0.127332
0.127332
0
0.002936
0.315928
15,934
451
80
35.330377
0.867431
0.047069
0
0.277512
0
0
0.039256
0.003207
0
0
0
0
0
0
null
null
0
0.043062
null
null
0.004785
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
919bffc665ca163bc5714a607940265a62d30f8a
1,368
py
Python
setup.py
thruflo/pyramid_torque_engine
3797c11d4fcc85cdad126b4a11d505279a7345a1
[ "Unlicense" ]
1
2015-06-23T12:51:43.000Z
2015-06-23T12:51:43.000Z
setup.py
thruflo/pyramid_torque_engine
3797c11d4fcc85cdad126b4a11d505279a7345a1
[ "Unlicense" ]
3
2019-12-26T16:36:59.000Z
2022-03-21T22:16:06.000Z
setup.py
thruflo/pyramid_torque_engine
3797c11d4fcc85cdad126b4a11d505279a7345a1
[ "Unlicense" ]
3
2015-06-24T10:25:35.000Z
2015-12-19T18:28:44.000Z
#!/usr/bin/env python # -*- coding: utf-8 -*- from setuptools import setup, find_packages setup( name = 'pyramid_torque_engine', version = '0.5.4', description = 'Pyramid and nTorque based dual queue work engine system.', author = 'James Arthur', author_email = 'username: thruflo, domain: gmail.co...
28.5
89
0.581871
129
1,368
6
0.75969
0.050388
0.073643
0
0
0
0
0
0
0
0
0.007143
0.283626
1,368
47
90
29.106383
0.782653
0.038743
0
0.071429
0
0
0.498476
0.056402
0
0
0
0
0
1
0
true
0
0.02381
0
0.02381
0
0
0
0
null
0
0
0
0
0
0
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
0
0
0
0
0
1
919e9269259427651822c2dfbe68fdc72f560327
697
py
Python
offregister_redis/ubuntu.py
offscale/offregister-redis
6f2b84586c78ab7e96baa0064b7a1bbd28e086b5
[ "Apache-2.0", "CC0-1.0", "MIT" ]
null
null
null
offregister_redis/ubuntu.py
offscale/offregister-redis
6f2b84586c78ab7e96baa0064b7a1bbd28e086b5
[ "Apache-2.0", "CC0-1.0", "MIT" ]
null
null
null
offregister_redis/ubuntu.py
offscale/offregister-redis
6f2b84586c78ab7e96baa0064b7a1bbd28e086b5
[ "Apache-2.0", "CC0-1.0", "MIT" ]
null
null
null
from offregister_fab_utils.apt import apt_depends from offregister_fab_utils.ubuntu.systemd import restart_systemd from offregister_redis.base import dl_install_redis_server def dl_install0(*args, **kwargs): apt_depends("build-essential", "pkg-config", "libsystemd-dev") return dl_install_redis_server( ...
36.684211
85
0.756098
96
697
5.145833
0.447917
0.101215
0.072874
0.093117
0.129555
0.129555
0.129555
0
0
0
0
0.016474
0.129125
697
18
86
38.722222
0.797364
0
0
0
0
0
0.167862
0
0
0
0
0
0
1
0.153846
false
0
0.230769
0
0.538462
0
0
0
0
null
0
0
0
0
0
0
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
0
0
0
0
1
0
0
1
91a0ff0ad22a436ee289e2f2845b888c081b99d8
1,632
py
Python
uid3/_nbdev.py
AnetaKaczynska/uid3
3adcb9bf90abaa9f1eb6f656399cc8da6eb1873a
[ "Apache-2.0" ]
null
null
null
uid3/_nbdev.py
AnetaKaczynska/uid3
3adcb9bf90abaa9f1eb6f656399cc8da6eb1873a
[ "Apache-2.0" ]
null
null
null
uid3/_nbdev.py
AnetaKaczynska/uid3
3adcb9bf90abaa9f1eb6f656399cc8da6eb1873a
[ "Apache-2.0" ]
null
null
null
# AUTOGENERATED BY NBDEV! DO NOT EDIT! __all__ = ["index", "modules", "custom_doc_links", "git_url"] index = {"AttStats": "att_stats.ipynb", "Attribute": "attribute.ipynb", "Data": "data.ipynb", "DataScrambler": "data_scrambler.ipynb", "configuration": "data_scrambler.ipynb", ...
33.306122
74
0.575368
160
1,632
5.6375
0.36875
0.093126
0.079823
0
0
0
0
0
0
0
0
0.004181
0.267157
1,632
48
75
34
0.75
0.022059
0
0
1
0
0.562735
0.082811
0
0
0
0
0
1
0.02439
false
0
0
0.02439
0.02439
0
0
0
0
null
0
0
0
0
0
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
0
0
0
0
0
0
0
1
91a4c317e095ce2f04e1ca4f03cde4fa9eb17617
803
py
Python
spark_auto_mapper_fhir/value_sets/v2_0023.py
imranq2/SparkAutoMapper.FHIR
dd23b218fb0097d1edc2f3e688e8d6d4d7278bd2
[ "Apache-2.0" ]
1
2020-10-31T23:25:07.000Z
2020-10-31T23:25:07.000Z
spark_auto_mapper_fhir/value_sets/v2_0023.py
icanbwell/SparkAutoMapper.FHIR
98f368e781b46523142c7cb513c670d659a93c9b
[ "Apache-2.0" ]
null
null
null
spark_auto_mapper_fhir/value_sets/v2_0023.py
icanbwell/SparkAutoMapper.FHIR
98f368e781b46523142c7cb513c670d659a93c9b
[ "Apache-2.0" ]
null
null
null
from __future__ import annotations from spark_auto_mapper_fhir.fhir_types.uri import FhirUri from spark_auto_mapper_fhir.value_sets.generic_type import GenericTypeCode from spark_auto_mapper.type_definitions.defined_types import AutoMapperTextInputType # This file is auto-generated by generate_classes so do not edi...
32.12
84
0.759651
106
803
5.5
0.537736
0.051458
0.066895
0.09777
0.259005
0.180103
0.180103
0
0
0
0
0.052941
0.153176
803
24
85
33.458333
0.804412
0.315068
0
0
0
0
0.092275
0
0
0
0
0
0
1
0.125
false
0
0.5
0
0.875
0
0
0
0
null
0
0
0
0
0
0
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
0
0
1
0
0
0
0
1
91aa4ff55c1fc512f12f0fa40d06e9bb15c64346
6,845
py
Python
_build/jupyter_execute/ipynb/conteudo.py
gcpeixoto/FMECD
9bca72574c6630d1594396fffef31cfb8d58dec2
[ "CC0-1.0" ]
null
null
null
_build/jupyter_execute/ipynb/conteudo.py
gcpeixoto/FMECD
9bca72574c6630d1594396fffef31cfb8d58dec2
[ "CC0-1.0" ]
null
null
null
_build/jupyter_execute/ipynb/conteudo.py
gcpeixoto/FMECD
9bca72574c6630d1594396fffef31cfb8d58dec2
[ "CC0-1.0" ]
null
null
null
# FMECD - Fundamentos Matemáticos e Estatísticos para Ciência de Dados: Uma Abordagem Computacional com Python ## Conteúdo - [Apresentação do curso](ipynb/00-apresentacao.ipynb) ### Semana 1 - [1A - Introdução](ipynb/01a-introducao.ipynb) - [1B - Fundamentos de Python](ipynb/01b-fundamentos-python.ipynb) - [1C -...
46.25
370
0.73718
807
6,845
6.25031
0.467162
0.057098
0.045995
0.027756
0.299564
0.282316
0.282316
0.282316
0.190722
0.190722
0
0.01985
0.160993
6,845
148
371
46.25
0.858436
0.031556
0
0
0
0
0.001971
0
0
0
0
0
0
0
null
null
0
0.0125
null
null
0.0125
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
91ac4800fd723cec58f2c59d9019823a2797757c
4,527
py
Python
venv/Lib/site-packages/tensorboard_plugin_wit/_vendor/tensorflow_serving/config/logging_config_pb2.py
masterrey/SmartMachines
e48aff314b1171a13a39c3a41230d900bf090a1f
[ "Apache-2.0" ]
1
2021-12-01T15:21:54.000Z
2021-12-01T15:21:54.000Z
venv/Lib/site-packages/tensorboard_plugin_wit/_vendor/tensorflow_serving/config/logging_config_pb2.py
masterrey/SmartMachines
e48aff314b1171a13a39c3a41230d900bf090a1f
[ "Apache-2.0" ]
null
null
null
venv/Lib/site-packages/tensorboard_plugin_wit/_vendor/tensorflow_serving/config/logging_config_pb2.py
masterrey/SmartMachines
e48aff314b1171a13a39c3a41230d900bf090a1f
[ "Apache-2.0" ]
1
2020-06-28T11:47:47.000Z
2020-06-28T11:47:47.000Z
# Generated by the protocol buffer compiler. DO NOT EDIT! # source: tensorflow_serving/config/logging_config.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.pro...
37.413223
461
0.789044
539
4,527
6.25974
0.248609
0.095732
0.042679
0.044458
0.513041
0.454357
0.366924
0.366924
0.355661
0.340842
0
0.028557
0.102717
4,527
120
462
37.725
0.802068
0.072233
0
0.525773
1
0.020619
0.207966
0.152158
0
0
0
0
0
1
0
false
0
0.061856
0
0.061856
0
0
0
0
null
0
0
0
0
0
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
0
0
0
0
0
0
0
1
91aed68e9d6296921ca488a2ecece11207be53b4
754
py
Python
copy_memory/model.py
dnbaker/pytorch-dilated-rnn
4d7e04bf00d2f144c4435cb7ad78ecee7de81dd1
[ "MIT" ]
123
2018-03-02T14:52:56.000Z
2018-07-02T16:58:00.000Z
copy_memory/model.py
dnbaker/pytorch-dilated-rnn
4d7e04bf00d2f144c4435cb7ad78ecee7de81dd1
[ "MIT" ]
4
2018-03-02T14:36:31.000Z
2018-03-09T20:40:47.000Z
copy_memory/model.py
dnbaker/pytorch-dilated-rnn
4d7e04bf00d2f144c4435cb7ad78ecee7de81dd1
[ "MIT" ]
25
2018-08-29T19:11:47.000Z
2021-11-17T08:04:33.000Z
from torch import nn from drnn import DRNN class DRNN_Copy(nn.Module): def __init__(self, input_size, hidden_size, num_layers, dropout, output_size): super(DRNN_Copy, self).__init__() self.drnn = DRNN(cell_type='GRU', dropout=dropout, n_hidden=hidden_size, n_input=input_s...
35.904762
83
0.651194
107
754
4.28972
0.383178
0.087146
0.052288
0
0
0
0
0
0
0
0
0.012069
0.230769
754
21
84
35.904762
0.77931
0.151194
0
0
0
0
0.004724
0
0
0
0
0
0
1
0.214286
false
0
0.142857
0
0.5
0
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
91b2ac3e2e20861856a96f98995081ea8d4ed8dd
15,525
py
Python
examples/emptyServer.py
chanke/afspy
525e7b3b53e58be515f11b83cc59ddb0765ef8e5
[ "BSD-2-Clause" ]
null
null
null
examples/emptyServer.py
chanke/afspy
525e7b3b53e58be515f11b83cc59ddb0765ef8e5
[ "BSD-2-Clause" ]
null
null
null
examples/emptyServer.py
chanke/afspy
525e7b3b53e58be515f11b83cc59ddb0765ef8e5
[ "BSD-2-Clause" ]
null
null
null
#!/usr/bin/python import re import time,logging import argparse, string,datetime,sys import afs from afs.util.AfsConfig import parseDefaultConfig from afs.util.afsutil import parseHumanWriteableSize from afs.service.OSDVolService import OSDVolService from afs.service.OSDCellService import OSDCellService from afs.servi...
48.065015
153
0.576876
1,750
15,525
5.088571
0.169714
0.095227
0.018866
0.018866
0.553509
0.519933
0.50219
0.443459
0.435373
0.406401
0
0.004659
0.322512
15,525
322
154
48.214286
0.841985
0.066667
0
0.587591
0
0
0.163128
0
0
0
0
0
0
0
null
null
0
0.047445
null
null
0.054745
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1