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
865c58fb5c718cde61e92adbf510bf5427d547e3
9,324
py
Python
update_generated.py
xyx208/MacInfoPkg
de768cc31beff0632d186caddc2d2e735412988b
[ "BSD-3-Clause" ]
1
2019-08-22T04:37:45.000Z
2019-08-22T04:37:45.000Z
update_generated.py
xyx208/MacInfoPkg
de768cc31beff0632d186caddc2d2e735412988b
[ "BSD-3-Clause" ]
null
null
null
update_generated.py
xyx208/MacInfoPkg
de768cc31beff0632d186caddc2d2e735412988b
[ "BSD-3-Clause" ]
null
null
null
#!/usr/bin/env python """ Update autogenerated source files from yaml database. Copyright (c) 2019, vit9696 """ from __future__ import print_function import update_products import fnmatch import operator import os import unicodedata import sys import yaml def remove_accents(input_str): nfkd_form = unicodedata.n...
32.946996
121
0.601244
1,110
9,324
4.95045
0.209009
0.0404
0.054049
0.024022
0.305005
0.249318
0.206915
0.187079
0.171429
0.156142
0
0.009861
0.238631
9,324
282
122
33.06383
0.764192
0.043115
0
0.242857
1
0
0.355636
0.05664
0
0
0.001354
0.007092
0
1
0.028571
false
0
0.038095
0
0.080952
0.238095
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
865edce571df91122f044dfbdaee60f88d4b4640
1,791
py
Python
tombstones/models.py
skioo/django-tombstones
e629572244eead4653f113d7efc44b55b69531be
[ "MIT" ]
5
2017-10-07T04:42:20.000Z
2021-04-22T03:42:36.000Z
tombstones/models.py
skioo/django-tombstones
e629572244eead4653f113d7efc44b55b69531be
[ "MIT" ]
null
null
null
tombstones/models.py
skioo/django-tombstones
e629572244eead4653f113d7efc44b55b69531be
[ "MIT" ]
null
null
null
from django.contrib.contenttypes.fields import GenericForeignKey, GenericRelation from django.contrib.contenttypes.models import ContentType from django.db import models class Tombstone(models.Model): created = models.DateTimeField(auto_now_add=True) content_type = models.ForeignKey(ContentType, on_delete=mod...
31.982143
95
0.73981
222
1,791
5.738739
0.351351
0.094976
0.061224
0.059655
0.154631
0.124019
0.124019
0.065934
0.065934
0.065934
0
0
0.175879
1,791
55
96
32.563636
0.863144
0.107203
0
0.117647
0
0
0.0133
0
0
0
0
0
0
1
0.205882
false
0
0.088235
0.088235
0.735294
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
86658600e1b816c1713a1c028ec6777c0119d5fd
5,377
py
Python
Django-API/halls/views.py
arihant-jain-09/Django-youtube-api
e9d093427418eb86cec136cbe323b436ad39635f
[ "MIT" ]
2
2020-12-03T20:01:02.000Z
2020-12-04T06:25:25.000Z
Django-API/halls/views.py
arihant-jain-09/Django-youtube-api
e9d093427418eb86cec136cbe323b436ad39635f
[ "MIT" ]
null
null
null
Django-API/halls/views.py
arihant-jain-09/Django-youtube-api
e9d093427418eb86cec136cbe323b436ad39635f
[ "MIT" ]
null
null
null
from django.shortcuts import render,redirect from django.urls import reverse_lazy,reverse from django.contrib.auth.forms import UserCreationForm from django.views.generic import CreateView,DetailView,UpdateView,DeleteView,TemplateView from django.contrib.auth import authenticate,login from django.http import HttpRespon...
38.407143
158
0.69072
667
5,377
5.428786
0.227886
0.027617
0.028998
0.022093
0.296051
0.240817
0.183927
0.160729
0.160729
0.148025
0
0.006917
0.193416
5,377
139
159
38.683453
0.827992
0.090013
0
0.284483
0
0.017241
0.138963
0.018856
0
0
0
0
0
1
0.077586
false
0.017241
0.12069
0
0.534483
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
8668045370cc9e2b65ef1d64eac622a130f42572
577
py
Python
day2/placement/data/data_maker/7/dm.py
DiamondJack/CTSC2018
a3a6ed27d61915ce08bcce4160970a9aeea39a0c
[ "Apache-2.0" ]
2
2019-03-22T11:13:53.000Z
2020-08-28T03:05:02.000Z
day2/placement/data/data_maker/7/dm.py
DiamondJack/CTSC2018
a3a6ed27d61915ce08bcce4160970a9aeea39a0c
[ "Apache-2.0" ]
null
null
null
day2/placement/data/data_maker/7/dm.py
DiamondJack/CTSC2018
a3a6ed27d61915ce08bcce4160970a9aeea39a0c
[ "Apache-2.0" ]
null
null
null
from random import randint import numpy as np n = [ 500 ] m = [ n[i] * n[i + 1] for i in range(len(n) - 1) ] k, v1, v2 = 600, 10, 1000 print('%d %d %d 2' % (np.sum(n), np.sum(m), k)) b = 1 for i in range(len(n) - 1): for j in range(0, n[i]): for k in range(0, n[i + 1]): print('%d %d' % (b + j,...
26.227273
75
0.480069
122
577
2.270492
0.278689
0.202166
0.108303
0.158845
0.34296
0.122744
0.122744
0.122744
0
0
0
0.07196
0.30156
577
21
76
27.47619
0.615385
0
0
0
0
0
0.032986
0
0
0
0
0
0
1
0
false
0
0.111111
0
0.111111
0.222222
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
866ab9f140c30db40252b178f86986c7638bbd95
3,412
py
Python
TechAdoption/Predict_Model.py
Epeiffer1/TechAdoption
54dcdf95ba19699f6fc901e92551fb71557d2f23
[ "MIT" ]
null
null
null
TechAdoption/Predict_Model.py
Epeiffer1/TechAdoption
54dcdf95ba19699f6fc901e92551fb71557d2f23
[ "MIT" ]
null
null
null
TechAdoption/Predict_Model.py
Epeiffer1/TechAdoption
54dcdf95ba19699f6fc901e92551fb71557d2f23
[ "MIT" ]
1
2020-06-12T18:07:52.000Z
2020-06-12T18:07:52.000Z
""" Created by: Erin Peiffer, 12 May 2020 Code to predict rates of adoption using Top_Features identified """ from Build_Model import (format_magpi, format_dataset, split_train_test, create_random_forest, predict_test_data, evaluate_fit, list_top_features, plot_top_features, plot_predicted_actual, plot_tree) from ...
48.056338
204
0.763482
481
3,412
5.195426
0.330561
0.021609
0.040816
0.022809
0.202481
0.181673
0.181673
0.151261
0.122449
0.090436
0
0.012179
0.109613
3,412
70
205
48.742857
0.810402
0.065944
0
0.130435
0
0.043478
0.190971
0
0
0
0
0
0
1
0.021739
false
0
0.304348
0
0.326087
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
866b2332f4a15a442499fbae78997e2e712962ff
3,684
py
Python
contrib/cpp/src/python/pants/contrib/cpp/tasks/cpp_compile.py
StephanErb/pants
a368267b6b4cf50138ba567f582409ed31bf5db9
[ "Apache-2.0" ]
94
2015-01-15T21:24:20.000Z
2022-02-16T16:55:43.000Z
contrib/cpp/src/python/pants/contrib/cpp/tasks/cpp_compile.py
StephanErb/pants
a368267b6b4cf50138ba567f582409ed31bf5db9
[ "Apache-2.0" ]
5
2020-07-18T01:04:43.000Z
2021-05-10T08:40:56.000Z
contrib/cpp/src/python/pants/contrib/cpp/tasks/cpp_compile.py
StephanErb/pants
a368267b6b4cf50138ba567f582409ed31bf5db9
[ "Apache-2.0" ]
47
2015-02-25T02:20:07.000Z
2022-03-21T00:59:16.000Z
# coding=utf-8 # Copyright 2015 Pants project contributors (see CONTRIBUTORS.md). # Licensed under the Apache License, Version 2.0 (see LICENSE). from __future__ import absolute_import, division, print_function, unicode_literals import os from pants.base.build_environment import get_buildroot from pants.base.workuni...
38.778947
100
0.686211
497
3,684
4.929577
0.350101
0.019592
0.032653
0.021224
0.146939
0.099592
0.078367
0.078367
0.048163
0.048163
0
0.003061
0.201954
3,684
94
101
39.191489
0.830272
0.181325
0
0.066667
0
0
0.0779
0
0
0
0
0.010638
0
1
0.116667
false
0
0.1
0.033333
0.3
0.05
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
866fd78a91f992c6b4264ec0b760217934313993
4,196
py
Python
Pyext/test/data/python_includes/head.py
mpartio/ecflow
ea4b89399d1e7b897ff48c59b1e885e6d53cc8d6
[ "Apache-2.0" ]
null
null
null
Pyext/test/data/python_includes/head.py
mpartio/ecflow
ea4b89399d1e7b897ff48c59b1e885e6d53cc8d6
[ "Apache-2.0" ]
null
null
null
Pyext/test/data/python_includes/head.py
mpartio/ecflow
ea4b89399d1e7b897ff48c59b1e885e6d53cc8d6
[ "Apache-2.0" ]
null
null
null
#////////1/////////2/////////3/////////4/////////5/////////6/////////7/////////8 # Name : # Author : Avi # Revision : $Revision: #10 $ # # Copyright 2009- ECMWF. # This software is licensed under the terms of the Apache Licence version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE...
44.168421
117
0.628217
539
4,196
4.729128
0.359926
0.131816
0.098862
0.108278
0.274225
0.251471
0.078462
0.0408
0.034523
0
0
0.014316
0.200906
4,196
94
118
44.638298
0.745899
0
0
0.09375
0
0
0.200062
0.040759
0
0
0
0
0
0
null
null
0.015625
0.046875
null
null
0.21875
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
8670c61636ff4061b1b7eac662e7107300442d6c
15,027
py
Python
pretrain_G.py
SongANIC/SeqGanANIC
0ce4c0d03bc785a8c691ae1a35353b8744adcd26
[ "MIT" ]
null
null
null
pretrain_G.py
SongANIC/SeqGanANIC
0ce4c0d03bc785a8c691ae1a35353b8744adcd26
[ "MIT" ]
null
null
null
pretrain_G.py
SongANIC/SeqGanANIC
0ce4c0d03bc785a8c691ae1a35353b8744adcd26
[ "MIT" ]
null
null
null
from __future__ import division import os import time import tensorflow as tf import numpy as np from tqdm import tqdm import sys import pdb class G_pretrained(): def __init__(self, sess, dataset, conf=None): self.sess = sess self.batch_size = conf.batch_size self.max_iter = conf.max_iter ...
46.667702
126
0.626406
2,015
15,027
4.41737
0.133499
0.023481
0.018537
0.021346
0.481856
0.42939
0.391417
0.349174
0.308954
0.29008
0
0.01494
0.25168
15,027
321
127
46.813084
0.776612
0.10714
0
0.288618
0
0
0.047397
0
0
0
0
0
0
0
null
null
0
0.03252
null
null
0.02439
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
86778e5629e34c983d6cff6951808cc194541459
452
py
Python
Functions.py
Tanamo-Inc/Python
0b851990bba6710e39930f6ab15ec4f82a1c47b0
[ "Apache-2.0" ]
null
null
null
Functions.py
Tanamo-Inc/Python
0b851990bba6710e39930f6ab15ec4f82a1c47b0
[ "Apache-2.0" ]
null
null
null
Functions.py
Tanamo-Inc/Python
0b851990bba6710e39930f6ab15ec4f82a1c47b0
[ "Apache-2.0" ]
null
null
null
# A function is a block of organized, reusable code that is used to perform a single, related action. # Define a function. def fun(): print("What's a Funtion ?") # Functions with Arguments. def funArg(arg1,arg2): print(arg1," ",arg2) # return(arg1," ",arg2) #Functions that returns a value...
15.586207
101
0.626106
66
452
4.287879
0.530303
0.084806
0.070671
0.106007
0
0
0
0
0
0
0
0.047337
0.252212
452
28
102
16.142857
0.789941
0.484513
0
0
0
0
0.087558
0
0
0
0
0
0
1
0.3
false
0
0
0.1
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
1
0
0
0
0
0
0
0
1
8677c611a8a7e1f45182bb58aab891ebfbcc9187
3,683
py
Python
pygazebo/msg/image_pb2.py
CryptoCopter/pygazebo
f16704f3b59cb50a1390ef92fde283558fd71f8f
[ "Apache-2.0" ]
null
null
null
pygazebo/msg/image_pb2.py
CryptoCopter/pygazebo
f16704f3b59cb50a1390ef92fde283558fd71f8f
[ "Apache-2.0" ]
null
null
null
pygazebo/msg/image_pb2.py
CryptoCopter/pygazebo
f16704f3b59cb50a1390ef92fde283558fd71f8f
[ "Apache-2.0" ]
null
null
null
# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: image.proto """Generated protocol buffer code.""" from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf ...
37.20202
256
0.746131
490
3,683
5.310204
0.242857
0.049193
0.080323
0.072636
0.521138
0.459646
0.459646
0.428901
0.414297
0.414297
0
0.03375
0.131143
3,683
98
257
37.581633
0.779375
0.070595
0
0.435897
1
0.012821
0.141852
0.100821
0
0
0
0
0
1
0
false
0
0.051282
0
0.051282
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
867b544b152e620a468c6734dc30a21e128b27f3
3,293
py
Python
fid-judaica/freimann/scripts/Tn-GNDID-01.py
judaicalink/judaicalink-generators
845dbd6886fa82ec45adf16ba08fad9d26169419
[ "MIT" ]
1
2020-09-20T17:00:05.000Z
2020-09-20T17:00:05.000Z
fid-judaica/freimann/scripts/Tn-GNDID-01.py
wisslab/judaicalink-generators
845dbd6886fa82ec45adf16ba08fad9d26169419
[ "MIT" ]
null
null
null
fid-judaica/freimann/scripts/Tn-GNDID-01.py
wisslab/judaicalink-generators
845dbd6886fa82ec45adf16ba08fad9d26169419
[ "MIT" ]
null
null
null
# Maral Dadvar #This code looks for common authors in Tn authors at UB dataset and the authors extracted from GND with unique occurance and based on the specified occupations. #10.07.2017 #Ver. 01 import rdflib from rdflib import Namespace, URIRef, Graph , Literal from SPARQLWrapper import SPARQLWrapper2, XML , RDF , ...
29.401786
184
0.673854
481
3,293
4.588358
0.343035
0.05981
0.047576
0.029905
0.239239
0.20299
0.155868
0.094246
0
0
0
0.03709
0.156696
3,293
111
185
29.666667
0.757652
0.090799
0
0
0
0.029412
0.48994
0.047954
0
0
0
0
0
0
null
null
0
0.073529
null
null
0.014706
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
867e27f279495f0f2e3f24dd4c7685e302344ffe
15,600
py
Python
modules/TCP_generic.py
re4lity/XFLTReaT
e85a3d0babd82baa8ebc40873f1de480fcb5d3e6
[ "MIT" ]
1
2019-08-19T10:52:00.000Z
2019-08-19T10:52:00.000Z
modules/TCP_generic.py
re4lity/XFLTReaT
e85a3d0babd82baa8ebc40873f1de480fcb5d3e6
[ "MIT" ]
null
null
null
modules/TCP_generic.py
re4lity/XFLTReaT
e85a3d0babd82baa8ebc40873f1de480fcb5d3e6
[ "MIT" ]
null
null
null
# MIT License # Copyright (c) 2017 Balazs Bucsay # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, ...
33.333333
218
0.7125
2,158
15,600
4.999537
0.197405
0.026694
0.026508
0.018908
0.329039
0.262397
0.243118
0.216146
0.195848
0.188247
0
0.014465
0.184615
15,600
468
219
33.333333
0.833726
0.188141
0
0.4375
0
0
0.083419
0
0
0
0.000317
0
0
0
null
null
0.009375
0.046875
null
null
0.075
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
867f78d156d0f7b4e2dc986dcb1726b81073e73b
2,648
py
Python
webcam_scanner/plugins/api_passwdcheck.py
hobby1999/webcam_scanner
50a4473eb1e139b87f5a8ffed23d388448198b08
[ "Apache-2.0" ]
null
null
null
webcam_scanner/plugins/api_passwdcheck.py
hobby1999/webcam_scanner
50a4473eb1e139b87f5a8ffed23d388448198b08
[ "Apache-2.0" ]
null
null
null
webcam_scanner/plugins/api_passwdcheck.py
hobby1999/webcam_scanner
50a4473eb1e139b87f5a8ffed23d388448198b08
[ "Apache-2.0" ]
null
null
null
from api_common.api_router import router from func_common.get_currenttime import getcurrenttime from func_common.filepathforchecksec import get_filepaths import os ''' 弱口令检测API,不包含暴力枚举破解,只进行收集弱口令检测 ''' @router.get("/checkpasswd", name="账号密码检查", description="用于账号密码检查的api,查看是否有弱密码泄露,username为用户名参数,filename为文件参数") async...
44.133333
104
0.591012
290
2,648
5.217241
0.3
0.052875
0.0423
0.044944
0.235294
0.196299
0.196299
0.136814
0.136814
0.101785
0
0.01506
0.247734
2,648
59
105
44.881356
0.744478
0
0
0.037736
0
0
0.118728
0.053236
0
0
0
0
0
1
0
false
0.396226
0.075472
0
0.132075
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
868379bce23dd55d48c838f5eb98d6c1a8573395
1,677
py
Python
tmp/crstest.py
tuvokki/console
418efb7743348210e878d397ab56fec9557e8cfb
[ "MIT" ]
null
null
null
tmp/crstest.py
tuvokki/console
418efb7743348210e878d397ab56fec9557e8cfb
[ "MIT" ]
null
null
null
tmp/crstest.py
tuvokki/console
418efb7743348210e878d397ab56fec9557e8cfb
[ "MIT" ]
null
null
null
#!/usr/bin/python # crstest.py import curses stdscr = curses.initscr() # Usually curses applications turn off automatic echoing of keys to the screen, in order to be able to read keys and only display # them under certain circumstances. This requires calling the noecho() function. curses.noecho() # Applications wil...
39
131
0.735838
279
1,677
4.405018
0.53405
0.014646
0.016273
0.017901
0
0
0
0
0
0
0
0.023512
0.188432
1,677
43
132
39
0.8795
0.689326
0
0
0
0
0.001972
0
0
0
0
0
0
1
0
false
0.055556
0.055556
0
0.055556
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
86853a191230ba254849bbce0681d8fce63dc0a5
3,172
py
Python
tools/utils/rerun.py
HelixOS/cts
1956c3f1525d6b7bf668f1671e7c29cb6fbb9c9a
[ "Apache-2.0" ]
null
null
null
tools/utils/rerun.py
HelixOS/cts
1956c3f1525d6b7bf668f1671e7c29cb6fbb9c9a
[ "Apache-2.0" ]
null
null
null
tools/utils/rerun.py
HelixOS/cts
1956c3f1525d6b7bf668f1671e7c29cb6fbb9c9a
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python # # Copyright (C) 2012 The Android Open Source Project # # 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 req...
35.244444
82
0.649117
354
3,172
5.782486
0.420904
0.029311
0.014656
0.015633
0
0
0
0
0
0
0
0.007101
0.245271
3,172
89
83
35.640449
0.847953
0.232976
0
0.096774
0
0
0.102362
0
0
0
0
0
0
0
null
null
0.016129
0.064516
null
null
0.080645
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
86858e14cef0d41afd7edc14e8622fa7736176fa
2,257
py
Python
aiida/orm/nodes/data/base.py
louisponet/aiida-core
3214236df66a3792ee57fe38a06c0c3bb65861ab
[ "MIT", "BSD-3-Clause" ]
1
2016-09-12T10:51:00.000Z
2016-09-12T10:51:00.000Z
aiida/orm/nodes/data/base.py
louisponet/aiida-core
3214236df66a3792ee57fe38a06c0c3bb65861ab
[ "MIT", "BSD-3-Clause" ]
17
2020-03-11T17:04:05.000Z
2020-05-01T09:34:45.000Z
aiida/orm/nodes/data/base.py
unkcpz/aiida_core
bb92dd56cc1bba142df2c48f1a73ca6b809568dc
[ "MIT", "BSD-3-Clause" ]
null
null
null
# -*- coding: utf-8 -*- ########################################################################### # Copyright (c), The AiiDA team. All rights reserved. # # This file is part of the AiiDA code. # # ...
34.723077
106
0.560035
256
2,257
4.773438
0.402344
0.05892
0.0491
0.065466
0.258592
0.258592
0.258592
0.258592
0.258592
0.258592
0
0.001222
0.275144
2,257
64
107
35.265625
0.745721
0.350465
0
0.111111
0
0
0.141524
0
0
0
0
0
0
1
0.222222
false
0
0.055556
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
8687fdc91dc84b4091ba10cdba6f001674e95060
412
py
Python
tor/ip2as.py
akashlevy/CDN-Measurement
9d862a9b8de62ebdcfc18daf04bc39b02952f413
[ "MIT" ]
null
null
null
tor/ip2as.py
akashlevy/CDN-Measurement
9d862a9b8de62ebdcfc18daf04bc39b02952f413
[ "MIT" ]
9
2018-05-07T07:25:43.000Z
2018-05-07T07:46:37.000Z
tor/ip2as.py
akashlevy/CDN-Measurement
9d862a9b8de62ebdcfc18daf04bc39b02952f413
[ "MIT" ]
null
null
null
import pyasn # Initialize module and load IP to ASN database # the sample database can be downloaded or built - see below asndb = pyasn.pyasn('ip2asn') ips = set([line.strip() for line in open('torlist-2017-12-20.txt')]) with open('ip2as.txt','w') as outfile: for ip in ips: try: asn = asndb.lookup(ip) ...
24.235294
68
0.63835
67
412
3.925373
0.716418
0
0
0
0
0
0
0
0
0
0
0.034483
0.225728
412
16
69
25.75
0.789969
0.252427
0
0
0
0
0.147541
0.072131
0
0
0
0
0
0
null
null
0
0.1
null
null
0.1
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
868b71b87544229b0e17967c221631444d089997
1,257
py
Python
model/registration_model.py
berpress/woman_shop_ui_tests
f442f88b247b02f23d775e96c5447859ccfec8b8
[ "Apache-2.0" ]
null
null
null
model/registration_model.py
berpress/woman_shop_ui_tests
f442f88b247b02f23d775e96c5447859ccfec8b8
[ "Apache-2.0" ]
9
2020-07-05T11:26:17.000Z
2020-07-26T08:49:13.000Z
model/registration_model.py
berpress/woman_shop_ui_tests
f442f88b247b02f23d775e96c5447859ccfec8b8
[ "Apache-2.0" ]
1
2020-07-05T09:59:55.000Z
2020-07-05T09:59:55.000Z
from faker import Faker class RegistrationUserData: def __init__( self, email=None, first_name=None, last_name=None, password=None, address=None, city=None, state=None, postal_code=None, country=None, mobile_phone=None, ...
26.744681
54
0.564041
131
1,257
5.19084
0.259542
0.066176
0.035294
0
0
0
0
0
0
0
0
0.012151
0.345267
1,257
46
55
27.326087
0.814095
0
0
0
0
0
0
0
0
0
0
0
0
1
0.046512
false
0.069767
0.023256
0
0.116279
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
869376a90a41983e6f0ee9ff24ef4a1fd994e116
1,103
py
Python
authentik/events/migrations/0002_auto_20200918_2116.py
BeryJu/passbook
350f0d836580f4411524614f361a76c4f27b8a2d
[ "MIT" ]
15
2020-01-05T09:09:57.000Z
2020-11-28T05:27:39.000Z
authentik/events/migrations/0002_auto_20200918_2116.py
BeryJu/passbook
350f0d836580f4411524614f361a76c4f27b8a2d
[ "MIT" ]
302
2020-01-21T08:03:59.000Z
2020-12-04T05:04:57.000Z
authentik/events/migrations/0002_auto_20200918_2116.py
BeryJu/passbook
350f0d836580f4411524614f361a76c4f27b8a2d
[ "MIT" ]
3
2020-03-04T08:21:59.000Z
2020-08-01T20:37:18.000Z
# Generated by Django 3.1.1 on 2020-09-18 21:16 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ("authentik_events", "0001_initial"), ] operations = [ migrations.AlterField( model_name="event", name="action", ...
32.441176
71
0.488667
81
1,103
6.395062
0.62963
0.03861
0.127413
0
0
0
0
0
0
0
0
0.0279
0.382593
1,103
33
72
33.424242
0.732746
0.040798
0
0.074074
1
0
0.336174
0.079545
0
0
0
0
0
1
0
false
0.037037
0.037037
0
0.148148
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
86943db28ce973d07e85c23c8f4e53e12bea92a9
9,563
py
Python
View/UserSubscribeWindow.py
drkying/ruanshe3
a357298402571e65d16004bed69da68a09ccabdd
[ "MIT" ]
null
null
null
View/UserSubscribeWindow.py
drkying/ruanshe3
a357298402571e65d16004bed69da68a09ccabdd
[ "MIT" ]
null
null
null
View/UserSubscribeWindow.py
drkying/ruanshe3
a357298402571e65d16004bed69da68a09ccabdd
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'UserSubscribeWindow.ui' # # Created by: PyQt5 UI code generator 5.15.4 # # WARNING: Any manual changes made to this file will be lost when pyuic5 is # run again. Do not edit this file unless you know what you are doing. from PyQt5 import ...
58.668712
123
0.729164
942
9,563
7.267516
0.187898
0.089833
0.080631
0.057844
0.465673
0.357289
0.201285
0.182296
0.057844
0.021911
0
0.017097
0.162083
9,563
162
124
59.030864
0.837264
0.029698
0
0.094595
1
0
0.084888
0.0192
0
0
0
0
0
1
0.013514
false
0
0.013514
0
0.033784
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
86957aa993b3ba3b9af605f1bf955988ff3a0991
4,893
py
Python
code/image_recognition/just_cam.py
fogitnerd/Adaptive-Optics-Modell
f568f8d14466b9c428373113f068bb304bc2f799
[ "Apache-2.0" ]
5
2016-06-11T11:36:15.000Z
2022-03-17T12:46:40.000Z
code/image_recognition/just_cam.py
fogitnerd/Adaptive-Optics-Modell
f568f8d14466b9c428373113f068bb304bc2f799
[ "Apache-2.0" ]
null
null
null
code/image_recognition/just_cam.py
fogitnerd/Adaptive-Optics-Modell
f568f8d14466b9c428373113f068bb304bc2f799
[ "Apache-2.0" ]
1
2019-03-10T09:57:40.000Z
2019-03-10T09:57:40.000Z
__author__ = 'Fabian Gebhart' # This file "just_cam.py" simply displays the image captured by # the camera to the user. It will also display the reference # lines and the number of the found laser points. For more info # see: https://github.com/fgebhart/adaptive-optics-model # import the necessary packages ...
33.513699
65
0.633763
677
4,893
4.468242
0.379616
0.036364
0.007934
0.009256
0.171901
0.158678
0.101818
0.101818
0.101818
0.098512
0
0.051162
0.260985
4,893
146
66
33.513699
0.785398
0.233599
0
0.083333
0
0
0.034429
0
0
0
0.001252
0
0
0
null
null
0.011905
0.071429
null
null
0.011905
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
869861484749e7717a87e341a59a53064f8537e5
9,278
py
Python
mimic3models/length_of_stay/networks/lstm.py
aureus5/mimiciII
0ce15bb67a90b88dbe96e842dbe05d84b6b8ab59
[ "MIT" ]
11
2019-10-16T15:34:19.000Z
2022-03-31T10:50:44.000Z
mimic3models/length_of_stay/networks/lstm.py
aureus5/mimiciII
0ce15bb67a90b88dbe96e842dbe05d84b6b8ab59
[ "MIT" ]
null
null
null
mimic3models/length_of_stay/networks/lstm.py
aureus5/mimiciII
0ce15bb67a90b88dbe96e842dbe05d84b6b8ab59
[ "MIT" ]
4
2019-05-24T11:50:35.000Z
2021-02-23T07:01:14.000Z
import random import numpy as np import theano import theano.tensor as T import lasagne from lasagne import layers from lasagne import nonlinearities from lasagne.nonlinearities import softmax, rectify from lasagne.objectives import squared_error from lasagne.init import Orthogonal, Normal from mimic3models import n...
39.819742
96
0.508838
1,050
9,278
4.310476
0.201905
0.033584
0.03734
0.016571
0.28745
0.24061
0.223597
0.197525
0.178524
0.178524
0
0.017045
0.392973
9,278
233
97
39.819742
0.786577
0.070597
0
0.154286
0
0
0.038574
0
0
0
0
0
0.028571
0
null
null
0
0.062857
null
null
0.028571
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
86987c2d4467a774f660c0712e66331b65e097a6
5,063
py
Python
Week2/driver.py
bashmohandes/AI-Course
ad48748023c5606ab774aa049f3a726caa555cc4
[ "MIT" ]
2
2018-02-22T10:40:32.000Z
2018-03-18T16:18:13.000Z
Week2/driver.py
bashmohandes/AI-Course
ad48748023c5606ab774aa049f3a726caa555cc4
[ "MIT" ]
null
null
null
Week2/driver.py
bashmohandes/AI-Course
ad48748023c5606ab774aa049f3a726caa555cc4
[ "MIT" ]
1
2018-06-19T03:12:37.000Z
2018-06-19T03:12:37.000Z
import sys from collections import deque from heapq import heapify, heappush, heappop class Board: def __init__(self, board=None, l=None, e=None, move=None, parent=None): if board is not None: parts = board.split(',') b = [] for i in range(3): b.append([...
24.458937
78
0.523998
667
5,063
3.845577
0.169415
0.063158
0.031189
0.015595
0.361793
0.325536
0.303704
0.267836
0.259259
0.244444
0
0.01721
0.345842
5,063
206
79
24.57767
0.757246
0
0
0.237179
0
0
0.010863
0
0
0
0
0
0
0
null
null
0
0.019231
null
null
0.00641
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
8699c6db2d9be310e0dd7aca467e3a815b0fa2e5
8,255
py
Python
LDA.py
saifuddin778/LDA
adaef9287593dce8b44399d11c15496e1421e84a
[ "MIT" ]
2
2019-02-23T16:04:48.000Z
2021-06-08T07:47:13.000Z
LDA.py
kk7nc/LDA
adaef9287593dce8b44399d11c15496e1421e84a
[ "MIT" ]
null
null
null
LDA.py
kk7nc/LDA
adaef9287593dce8b44399d11c15496e1421e84a
[ "MIT" ]
3
2017-02-15T09:37:20.000Z
2020-11-08T15:33:21.000Z
from __future__ import division import sys import math import copy from time import time sys.dont_write_bytecode = True __author__ = "Saifuddin Abdullah" #local imports from tools import fmin, Functions funcs_ = Functions() """ Implementation of linear discriminant analysis for binary classification tasks. Any improv...
36.526549
253
0.59576
1,116
8,255
4.267921
0.212366
0.026454
0.006299
0.008818
0.229687
0.156204
0.107495
0.101617
0.074323
0.061306
0
0.003805
0.299576
8,255
225
254
36.688889
0.819958
0.173471
0
0.222222
0
0
0.021771
0.003387
0
0
0
0
0
0
null
null
0
0.045752
null
null
0.019608
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
8699f3ad2db2c0db3156024f75f3b75dd0cc6e46
362
py
Python
src/worker/celery.py
Curt-Park/fastapi-celery-triton
df02fc4869a26f79461a01d843c0ab3eb2ed21ab
[ "MIT" ]
14
2022-03-01T18:08:03.000Z
2022-03-23T06:26:51.000Z
src/worker/celery.py
Curt-Park/fastapi-celery-triton
df02fc4869a26f79461a01d843c0ab3eb2ed21ab
[ "MIT" ]
null
null
null
src/worker/celery.py
Curt-Park/fastapi-celery-triton
df02fc4869a26f79461a01d843c0ab3eb2ed21ab
[ "MIT" ]
1
2022-03-04T01:32:58.000Z
2022-03-04T01:32:58.000Z
# -*- coding: utf-8 -*- """Celery configurations.""" import os from celery import Celery broker = os.environ.get("BROKER_URL", "redis://localhost:6379") backend = os.environ.get("BACKEND_URL", "redis://localhost:6379") app = Celery( __name__, broker=broker, backend=backend, include=["worker.tasks"],...
18.1
65
0.679558
45
362
5.311111
0.577778
0.075314
0.100418
0.175732
0
0
0
0
0
0
0
0.041935
0.143646
362
19
66
19.052632
0.729032
0.124309
0
0
0
0
0.247588
0.141479
0
0
0
0
0
1
0
false
0
0.181818
0
0.181818
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
869a078414d6dbd31bf1ebed4770b1dc81433e2c
399
py
Python
setup.py
kazistan/alexa-goingson
e74c49bf283d0d75f41ee16636143d34598b49f8
[ "MIT" ]
null
null
null
setup.py
kazistan/alexa-goingson
e74c49bf283d0d75f41ee16636143d34598b49f8
[ "MIT" ]
null
null
null
setup.py
kazistan/alexa-goingson
e74c49bf283d0d75f41ee16636143d34598b49f8
[ "MIT" ]
null
null
null
from setuptools import setup setup(name='alexa-goingson', version='0.1', description='San Francisco Event Recommendations for Amazon Echo', url='http://github.com/kazistan/alexa-goingson', author='Kazdin, Joshua', author_email='joshuakazdin@gmail.com', license='MIT', packages=['baydata'], install_requires=[ '...
21
67
0.709273
49
399
5.714286
0.897959
0.092857
0
0
0
0
0
0
0
0
0
0.008475
0.112782
399
19
68
21
0.782486
0
0
0
0
0
0.4625
0.055
0
0
0
0
0
1
0
true
0
0.055556
0
0.055556
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
869b67e29e815bd2efe780f501c0203b53b4e7c3
528
py
Python
code/week11/70.py
tensorbytes/coding
62168eaf1b451c514be5418dc5ebd3aa9dd263f5
[ "MIT" ]
2
2021-04-13T09:48:35.000Z
2021-04-13T09:48:44.000Z
code/week11/70.py
tensorbytes/coding
62168eaf1b451c514be5418dc5ebd3aa9dd263f5
[ "MIT" ]
null
null
null
code/week11/70.py
tensorbytes/coding
62168eaf1b451c514be5418dc5ebd3aa9dd263f5
[ "MIT" ]
null
null
null
""" 回溯算法,会提示超时因为时间复杂度为2的N次方 class Solution: def climbStairs(self, n: int) -> int: return self.go(n,0) def go(self,n,cur) -> int: if cur == n: return 1 if cur > n: return 0 return self.go(n,cur + 1) + self.go(n,cur + 2) """ """ 从起点递推到终点 """ class Solu...
16
54
0.467803
73
528
3.369863
0.315068
0.060976
0.085366
0.219512
0.308943
0.308943
0.308943
0.308943
0
0
0
0.0347
0.399621
528
32
55
16.5
0.741325
0.535985
0
0
0
0
0
0
0
0
0
0
0
1
0.111111
false
0
0
0
0.444444
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
869bc399bcf740420c3202a48ce8fc67d194b5bb
2,363
py
Python
public/utils.py
vepakom/SplitLearning_Inference
0916d409b8f70b5e2b0c4de5c1da4369137b633f
[ "Apache-2.0" ]
11
2021-07-06T17:45:32.000Z
2022-03-30T02:31:13.000Z
public/utils.py
vepakom/SplitLearning_Inference
0916d409b8f70b5e2b0c4de5c1da4369137b633f
[ "Apache-2.0" ]
23
2021-06-15T07:55:45.000Z
2022-03-31T18:03:33.000Z
public/utils.py
vepakom/SplitLearning_Inference
0916d409b8f70b5e2b0c4de5c1da4369137b633f
[ "Apache-2.0" ]
5
2021-08-20T13:11:06.000Z
2022-01-10T12:35:20.000Z
import os from shutil import copytree, copy2 from glob import glob import torchvision import torch from tensorboardX import SummaryWriter from sklearn import metrics def copy_source_code(path): if not os.path.isdir(path): os.makedirs(path) denylist = ["./__pycache__/"] folders = glo...
34.246377
116
0.641134
308
2,363
4.701299
0.311688
0.020718
0.055249
0.075967
0.228591
0.228591
0.111878
0.111878
0.111878
0.111878
0
0.007813
0.241642
2,363
68
117
34.75
0.800223
0.261109
0
0.093023
0
0
0.039039
0
0
0
0
0
0
1
0.209302
false
0.046512
0.162791
0
0.395349
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
869d280699fa8d0a7c15aff8750e17a2472f50ca
558
py
Python
web/settings/base/apps.py
vitaliyharchenko/django_template
41fa00cb0b8be6c5cf67b7a334d4340163255160
[ "MIT" ]
null
null
null
web/settings/base/apps.py
vitaliyharchenko/django_template
41fa00cb0b8be6c5cf67b7a334d4340163255160
[ "MIT" ]
1
2018-02-02T20:25:41.000Z
2018-02-02T20:25:41.000Z
web/settings/base/apps.py
vitaliyharchenko/django_template
41fa00cb0b8be6c5cf67b7a334d4340163255160
[ "MIT" ]
null
null
null
INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', # External libraries # Markdown 'markdownx', # Bootstrap 'bootstrap4', # Our apps '...
18.6
34
0.580645
55
558
5.854545
0.545455
0.242236
0
0
0
0
0
0
0
0
0
0.002387
0.249104
558
29
35
19.241379
0.76611
0.086022
0
0
0
0
0.582178
0.19604
0
0
0
0
0
1
0
false
0
0
0
0
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
869dd9ba6ee073b8e6379ed87ab26611c05050ad
3,472
py
Python
src/wi/utils/decorators.py
cc1-cloud/cc1
8113673fa13b6fe195cea99dedab9616aeca3ae8
[ "Apache-2.0" ]
11
2015-05-06T14:16:54.000Z
2022-02-08T23:21:31.000Z
src/wi/utils/decorators.py
fortress-shell/cc1
8113673fa13b6fe195cea99dedab9616aeca3ae8
[ "Apache-2.0" ]
1
2015-10-30T21:08:11.000Z
2015-10-30T21:08:11.000Z
src/wi/utils/decorators.py
fortress-shell/cc1
8113673fa13b6fe195cea99dedab9616aeca3ae8
[ "Apache-2.0" ]
5
2016-02-12T22:01:38.000Z
2021-12-06T16:56:54.000Z
# -*- coding: utf-8 -*- # @COPYRIGHT_begin # # Copyright [2010-2014] Institute of Nuclear Physics PAN, Krakow, Poland # # 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.apac...
30.45614
84
0.659562
439
3,472
5.029613
0.350797
0.027174
0.040761
0.025815
0.446105
0.446105
0.446105
0.431159
0.431159
0.368659
0
0.009466
0.239343
3,472
113
85
30.725664
0.826581
0.190092
0
0.384615
0
0
0.040798
0
0
0
0
0
0
0
null
null
0
0.134615
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
86a1845c52dbd118419a490c602bb85cf890f3f1
3,798
py
Python
tests/test_pypi.py
ronnathaniel/python-semantic-release
7f372a464f07525d243b141128cab7f7c6bf8c0a
[ "MIT" ]
1
2021-08-02T06:47:06.000Z
2021-08-02T06:47:06.000Z
tests/test_pypi.py
Toilal/python-semantic-release
da0ab0c62c4ce2fa0d815e5558aeec1a1e23bc89
[ "MIT" ]
null
null
null
tests/test_pypi.py
Toilal/python-semantic-release
da0ab0c62c4ce2fa0d815e5558aeec1a1e23bc89
[ "MIT" ]
null
null
null
import os import tempfile from unittest import TestCase from semantic_release import ImproperConfigurationError from semantic_release.pypi import upload_to_pypi from . import mock, wrapped_config_get class PypiTests(TestCase): @mock.patch("semantic_release.pypi.run") @mock.patch.dict( "os.environ", ...
33.910714
94
0.593207
443
3,798
4.794582
0.167043
0.072034
0.056497
0.063559
0.740113
0.687382
0.652542
0.637947
0.579567
0.579567
0
0.004261
0.258557
3,798
111
95
34.216216
0.75
0
0
0.484848
0
0
0.23644
0.054502
0
0
0
0
0.090909
1
0.090909
false
0.070707
0.060606
0
0.161616
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
86abcabf054d19c4ac5ca72027d4789b5cd77d83
4,153
py
Python
tempest/api/compute/v3/admin/test_quotas_negative.py
queria/my-tempest
a9cdee0201bb956c7502fd372dab467b056ba67f
[ "Apache-2.0" ]
null
null
null
tempest/api/compute/v3/admin/test_quotas_negative.py
queria/my-tempest
a9cdee0201bb956c7502fd372dab467b056ba67f
[ "Apache-2.0" ]
null
null
null
tempest/api/compute/v3/admin/test_quotas_negative.py
queria/my-tempest
a9cdee0201bb956c7502fd372dab467b056ba67f
[ "Apache-2.0" ]
1
2018-10-09T06:32:04.000Z
2018-10-09T06:32:04.000Z
# Copyright 2013 OpenStack Foundation # Copyright 2014 NEC Corporation # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licens...
46.144444
79
0.653744
514
4,153
5.050584
0.317121
0.052388
0.064715
0.061633
0.459553
0.459553
0.454931
0.454931
0.454931
0.438752
0
0.006331
0.27739
4,153
89
80
46.662921
0.858714
0.285577
0
0.396226
0
0
0.022101
0
0
0
0
0.011236
0.075472
1
0.09434
false
0
0.056604
0
0.188679
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
86af37b110a685c560f1a52e3d80cb0b6f9a74ca
1,045
py
Python
asteroids/bullet.py
lxndrdagreat/game-dev-with-python
18ae7a4879ab1e3cce933cbdef17b2f8ce2a9c28
[ "MIT" ]
2
2019-05-15T16:11:28.000Z
2019-06-06T13:01:51.000Z
asteroids/bullet.py
lxndrdagreat/game-dev-with-python
18ae7a4879ab1e3cce933cbdef17b2f8ce2a9c28
[ "MIT" ]
null
null
null
asteroids/bullet.py
lxndrdagreat/game-dev-with-python
18ae7a4879ab1e3cce933cbdef17b2f8ce2a9c28
[ "MIT" ]
null
null
null
import arcade from utils import ThemeColors from typing import Tuple import math class Bullet: def __init__(self, position: Tuple[int, int], angle: float): self.x = position[0] self.y = position[1] self.angle_radians = round(math.radians(angle), 2) self.alive = True ...
29.027778
74
0.626794
140
1,045
4.564286
0.45
0.075117
0.075117
0
0
0
0
0
0
0
0
0.013387
0.285167
1,045
35
75
29.857143
0.842035
0.142584
0
0
0
0
0
0
0
0
0
0.028571
0
1
0.130435
false
0
0.173913
0
0.391304
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
86b1cc8a28971de04640c656e378d3e605caf525
1,226
py
Python
src/c3nav/mapdata/migrations/0024_oneway.py
bate/c3nav
9a86dd3eaeb3a10af3c5fa869575ed1e9300465a
[ "Apache-2.0" ]
1
2021-07-07T06:16:40.000Z
2021-07-07T06:16:40.000Z
src/c3nav/mapdata/migrations/0024_oneway.py
0ki/c3nav
18fdb34b3fbcf7eb4617794750494cfa16428c54
[ "Apache-2.0" ]
null
null
null
src/c3nav/mapdata/migrations/0024_oneway.py
0ki/c3nav
18fdb34b3fbcf7eb4617794750494cfa16428c54
[ "Apache-2.0" ]
null
null
null
# -*- coding: utf-8 -*- # Generated by Django 1.10.4 on 2016-12-18 00:17 from __future__ import unicode_literals import c3nav.mapdata.fields from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('mapdata', '0023_escalatorslope'...
37.151515
166
0.611746
127
1,226
5.740157
0.488189
0.090535
0.057613
0.090535
0.219479
0.219479
0.219479
0.219479
0.219479
0.219479
0
0.024973
0.248777
1,226
32
167
38.3125
0.766558
0.055465
0
0
1
0
0.1671
0
0
0
0
0
0
1
0
false
0
0.16
0
0.28
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
86b67d1dfbf50175ceb38b54bccb023be36579a8
3,079
py
Python
integration_tests/test_indicators.py
lucienve/callattendant
2155ff97011c01b941364e1134f285c037de0803
[ "MIT" ]
null
null
null
integration_tests/test_indicators.py
lucienve/callattendant
2155ff97011c01b941364e1134f285c037de0803
[ "MIT" ]
null
null
null
integration_tests/test_indicators.py
lucienve/callattendant
2155ff97011c01b941364e1134f285c037de0803
[ "MIT" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- # # test_indicators.py # # Copyright 2020 Bruce Schubert <bruce@emxsys.com> # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restr...
32.410526
101
0.71874
402
3,079
5.39801
0.410448
0.040553
0.035945
0.02765
0.106912
0.083871
0.023963
0
0
0
0
0.011943
0.184151
3,079
94
102
32.755319
0.851911
0.432283
0
0.102041
0
0
0.152503
0.04482
0
0
0
0
0
0
null
null
0
0.102041
null
null
0.102041
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
86ba6e55e626f96aa5685c2d51d5f7dec7b4ecec
4,341
py
Python
snapmerge/home/models.py
R4356th/smerge
2f2a6a4acfe3903ed4f71d90537f7277248e8b59
[ "MIT" ]
13
2018-07-16T09:59:55.000Z
2022-01-27T19:07:17.000Z
snapmerge/home/models.py
R4356th/smerge
2f2a6a4acfe3903ed4f71d90537f7277248e8b59
[ "MIT" ]
55
2018-07-16T12:17:58.000Z
2022-03-17T16:10:30.000Z
snapmerge/home/models.py
R4356th/smerge
2f2a6a4acfe3903ed4f71d90537f7277248e8b59
[ "MIT" ]
4
2019-10-10T20:16:49.000Z
2021-03-12T07:15:50.000Z
from django.db import models from django.forms import ModelForm from django.utils.translation import ugettext_lazy as _ from django.conf import settings from django.core.validators import FileExtensionValidator from .xmltools import analyze_file, include_sync_button import uuid def default_color(): return '#076AA...
34.181102
107
0.627044
473
4,341
5.572939
0.298097
0.039833
0.02959
0.038695
0.096358
0.096358
0.075873
0.050076
0.050076
0.050076
0
0.007047
0.2481
4,341
126
108
34.452381
0.800551
0.055748
0
0.154639
0
0
0.105057
0
0
0
0
0
0
1
0.072165
false
0.061856
0.072165
0.030928
0.474227
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
86bc2f0b3e9f874045096df1eb02b51a06da9ce5
1,022
py
Python
Example/feature-3.1.0/tools/bin/normalize.py
MukundhMurthy/NucleicNet
fca09d38b9a70d2c402414df7cc06b9dd2824449
[ "BSD-3-Clause" ]
1
2021-01-30T18:41:53.000Z
2021-01-30T18:41:53.000Z
Example/feature-3.1.0/tools/bin/normalize.py
MukundhMurthy/NucleicNet
fca09d38b9a70d2c402414df7cc06b9dd2824449
[ "BSD-3-Clause" ]
null
null
null
Example/feature-3.1.0/tools/bin/normalize.py
MukundhMurthy/NucleicNet
fca09d38b9a70d2c402414df7cc06b9dd2824449
[ "BSD-3-Clause" ]
null
null
null
#! /usr/bin/env python # $Id: normalize.py,v 1.1 2004/11/17 09:33:01 mliang Exp $ # normalizes values to 1.0 import sys,os import getopt import fileinput from Numeric import * from MLab import * def eusage(): print "Usage: %s [OPTIONS] [FILENAME...]" % os.path.basename(sys.argv[0]) sys.exit() def myfmt(obj):...
22.217391
77
0.62818
154
1,022
4.168831
0.538961
0.021807
0
0
0
0
0
0
0
0
0
0.029448
0.202544
1,022
45
78
22.711111
0.758282
0.100783
0
0.055556
0
0
0.054585
0
0
0
0
0
0
0
null
null
0
0.138889
null
null
0.055556
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
86bc32ca82c2e10b377b9d9f5431c4544dfae88d
943
py
Python
setup.py
Lookyloo/PyLookyloo
ea9f099894284f84fb4bc9e0ef80b0ea99b3274d
[ "BSD-3-Clause" ]
3
2020-09-14T05:20:19.000Z
2021-04-07T17:15:55.000Z
setup.py
Lookyloo/PyLookyloo
ea9f099894284f84fb4bc9e0ef80b0ea99b3274d
[ "BSD-3-Clause" ]
7
2020-11-24T16:17:52.000Z
2022-01-22T00:34:57.000Z
setup.py
Lookyloo/PyLookyloo
ea9f099894284f84fb4bc9e0ef80b0ea99b3274d
[ "BSD-3-Clause" ]
2
2020-11-24T14:36:55.000Z
2021-04-12T13:29:04.000Z
# -*- coding: utf-8 -*- from setuptools import setup # type: ignore setup( name='pylookyloo', version='1.11-dev', author='Raphaël Vinot', author_email='raphael.vinot@circl.lu', maintainer='Raphaël Vinot', url='https://github.com/Lookyloo/lookyloo/client', description='Python client for Lo...
32.517241
69
0.625663
89
943
6.58427
0.786517
0.081911
0
0
0
0
0
0
0
0
0
0.008219
0.225875
943
28
70
33.678571
0.794521
0.036055
0
0
0
0
0.582781
0.024283
0
0
0
0
0
1
0
true
0
0.04
0
0.04
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
86bdb1bb06335e966a9a1c8147489d94e66acd28
6,000
py
Python
droidConvert.py
digital-preservation/droid-convert
c5aa01d6ff07c1146bae2d1b314e42107e926ae8
[ "BSD-3-Clause" ]
2
2019-07-09T16:11:49.000Z
2021-11-24T05:04:09.000Z
droidConvert.py
digital-preservation/droid-convert
c5aa01d6ff07c1146bae2d1b314e42107e926ae8
[ "BSD-3-Clause" ]
null
null
null
droidConvert.py
digital-preservation/droid-convert
c5aa01d6ff07c1146bae2d1b314e42107e926ae8
[ "BSD-3-Clause" ]
5
2018-01-19T12:04:00.000Z
2021-11-24T05:04:02.000Z
import pandas as pd import os #This script is to take a DROID csv export and transform it into the structure required for digital transfer to TNA, it will populate default fields where possible. It gives you the option to select whether your metadata has #descriptions or not and populate the standard columns as ...
63.829787
375
0.726333
909
6,000
4.645765
0.270627
0.056832
0.030784
0.025574
0.307601
0.286289
0.264504
0.249822
0.249822
0.214776
0
0.006701
0.179167
6,000
93
376
64.516129
0.850558
0.4835
0
0.537313
0
0
0.433613
0.036303
0
0
0
0
0.044776
0
null
null
0.014925
0.029851
null
null
0.029851
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
86c086c22b81705cd8565d65c301aa275e4dd673
489
py
Python
check_db_connection.py
ndo1989/pythoncourse2020
23c6842476c4b5c4e2b1c7a32f26171dfa7a5622
[ "Apache-2.0" ]
null
null
null
check_db_connection.py
ndo1989/pythoncourse2020
23c6842476c4b5c4e2b1c7a32f26171dfa7a5622
[ "Apache-2.0" ]
null
null
null
check_db_connection.py
ndo1989/pythoncourse2020
23c6842476c4b5c4e2b1c7a32f26171dfa7a5622
[ "Apache-2.0" ]
null
null
null
import pymysql.cursors from pythoncourse2020.fixture.db import DbFixture from pythoncourse2020.model.group import Group db = DbFixture(host="127.0.0.1", name="addressbook", user="root", password="") try: l = db.get_contact_in_group(Group(id="340")) for contact in l: print(item) print(len(l)) finall...
22.227273
78
0.664622
68
489
4.705882
0.514706
0.125
0
0
0
0
0
0
0
0
0
0.042929
0.190184
489
22
79
22.227273
0.765152
0.233129
0
0
0
0
0.07337
0
0
0
0
0
0
1
0
false
0.181818
0.272727
0
0.272727
0.181818
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
86c2bb5b1007a5837cb79c9ee505013d3c774a3d
674
py
Python
src/main/migrations/0034_activity_gallery.py
shashankmohabia/gymkhana-master
a0d399d781797a2f63fb81a1ae287714213d068b
[ "MIT" ]
1
2018-08-13T09:11:27.000Z
2018-08-13T09:11:27.000Z
src/main/migrations/0034_activity_gallery.py
shashankmohabia/gymkhana-master
a0d399d781797a2f63fb81a1ae287714213d068b
[ "MIT" ]
null
null
null
src/main/migrations/0034_activity_gallery.py
shashankmohabia/gymkhana-master
a0d399d781797a2f63fb81a1ae287714213d068b
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- # Generated by Django 1.11.2 on 2017-07-06 16:25 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('photologue', '0011_auto_20170625_1315'), ('main', '...
29.304348
186
0.666172
82
674
5.292683
0.670732
0.0553
0.064516
0.101382
0
0
0
0
0
0
0
0.06968
0.212166
674
22
187
30.636364
0.747646
0.10089
0
0
1
0
0.232172
0.084577
0
0
0
0
0
1
0
false
0
0.2
0
0.4
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
86c945cf784bbc33a3c9cc78fb8926b7d5f07dcc
1,117
py
Python
xp/tests/task_properties.py
druths/xp
a4f66ae3551fc0b5c66ece816a8276bd7b7e3ccf
[ "Apache-2.0" ]
46
2016-03-05T22:56:04.000Z
2021-12-27T22:25:08.000Z
xp/tests/task_properties.py
druths/xp
a4f66ae3551fc0b5c66ece816a8276bd7b7e3ccf
[ "Apache-2.0" ]
15
2016-03-05T04:19:00.000Z
2021-01-29T05:00:24.000Z
xp/tests/task_properties.py
druths/xp
a4f66ae3551fc0b5c66ece816a8276bd7b7e3ccf
[ "Apache-2.0" ]
11
2016-02-22T19:38:41.000Z
2021-11-06T00:55:01.000Z
""" Copyright 2016 Derek Ruths Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software di...
29.394737
88
0.783348
171
1,117
4.988304
0.578947
0.07034
0.030481
0.037515
0
0
0
0
0
0
0
0.011364
0.133393
1,117
37
89
30.189189
0.869835
0.493286
0
0
0
0
0.08079
0
0
0
0
0
0.142857
1
0.142857
false
0
0.285714
0.071429
0.571429
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
86cda08b49b22160123458fa84d75d6d8189bfb5
984
py
Python
userbot/plugins/alive.py
keshav12-36/user-bot
dd29f1d540a01036141ec0339c9f17b5304bc657
[ "MIT" ]
1
2021-12-06T06:21:28.000Z
2021-12-06T06:21:28.000Z
userbot/plugins/alive.py
keshav12-36/user-bot
dd29f1d540a01036141ec0339c9f17b5304bc657
[ "MIT" ]
null
null
null
userbot/plugins/alive.py
keshav12-36/user-bot
dd29f1d540a01036141ec0339c9f17b5304bc657
[ "MIT" ]
5
2020-04-23T12:02:55.000Z
2021-02-15T06:48:02.000Z
"""Check if userbot alive. If you change these, you become the gayest gay such that even the gay world will disown you.""" import asyncio from telethon import events from telethon.tl.types import ChannelParticipantsAdmins from platform import uname from userbot import ALIVE_NAME from userbot.utils import admin_cm...
51.789474
123
0.668699
133
984
4.917293
0.639098
0.041284
0
0
0
0
0
0
0
0
0
0.020699
0.214431
984
18
124
54.666667
0.825356
0.117886
0
0
0
0.142857
0.435832
0.050826
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
86cde1166ae972221b1b0647f5e430abd1cca56b
4,101
py
Python
Extended_Methods/Heuristic_2/2_generate_random_pair_from_bg_thresholding.py
heyuan7676/ts_eQTLs
62b04f5477183f5c0cb60f21264b3147fd8bd82a
[ "CC-BY-4.0" ]
19
2019-10-02T20:50:08.000Z
2021-07-21T16:49:21.000Z
Extended_Methods/Heuristic_2/2_generate_random_pair_from_bg_thresholding.py
heyuan7676/ts_eQTLs
62b04f5477183f5c0cb60f21264b3147fd8bd82a
[ "CC-BY-4.0" ]
2
2020-04-07T10:53:35.000Z
2021-05-15T15:35:51.000Z
Extended_Methods/Heuristic_2/2_generate_random_pair_from_bg_thresholding.py
heyuan7676/ts_eQTLs
62b04f5477183f5c0cb60f21264b3147fd8bd82a
[ "CC-BY-4.0" ]
1
2020-09-14T11:40:55.000Z
2020-09-14T11:40:55.000Z
import os import sys import pandas as pd import numpy as np from GLOBAL_VAR import * from collections import Counter def append_df_change_index(gi_dat, mm, nn, mm_l, nn_l): try: df_temp = gi_dat.loc[mm_l, nn_l] except: return gi_dat index_array = [[int(mm)] * len(df_temp), [int(nn)] * len(df_temp)...
31.790698
175
0.632285
652
4,101
3.705521
0.239264
0.039321
0.029801
0.039321
0.226407
0.226407
0.226407
0.226407
0.226407
0.189156
0
0.016078
0.22653
4,101
128
176
32.039063
0.745586
0.043648
0
0.186813
0
0
0.136643
0.103378
0
0
0
0
0.010989
0
null
null
0
0.065934
null
null
0.032967
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
86ceb66d619c1d2e9c7ee79c717a8ffe8bd519ae
401
py
Python
face_count/migrations/0010_auto_20200405_1450.py
reibomaru/face_counter
fcee6a6fd3e996a1fbc0bdc6bb8a881afb0284bf
[ "MIT" ]
3
2020-03-11T17:19:02.000Z
2020-04-29T04:35:35.000Z
face_count/migrations/0010_auto_20200405_1450.py
reibomaru/face_counter
fcee6a6fd3e996a1fbc0bdc6bb8a881afb0284bf
[ "MIT" ]
48
2020-03-12T02:54:35.000Z
2020-04-08T05:16:48.000Z
face_count/migrations/0010_auto_20200405_1450.py
reibomaru/face_counter
fcee6a6fd3e996a1fbc0bdc6bb8a881afb0284bf
[ "MIT" ]
null
null
null
# Generated by Django 2.1.1 on 2020-04-05 05:50 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('face_count', '0009_auto_20200405_1436'), ] operations = [ migrations.AlterField( model_name='usagelist', name='list_...
21.105263
57
0.605985
44
401
5.363636
0.818182
0
0
0
0
0
0
0
0
0
0
0.106897
0.276808
401
18
58
22.277778
0.706897
0.112219
0
0
1
0
0.161017
0.064972
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
86d4231671bb481d911bb7c8030fbaa655cd79d0
6,348
py
Python
Plugins/UnrealEnginePython/Binaries/Win64/Lib/site-packages/tensorflow/contrib/distribute/python/input_ops.py
JustinACoder/H22-GR3-UnrealAI
361eb9ef1147f8a2991e5f98c4118cd823184adf
[ "MIT" ]
6
2022-02-04T18:12:24.000Z
2022-03-21T23:57:12.000Z
Lib/site-packages/tensorflow/contrib/distribute/python/input_ops.py
shfkdroal/Robot-Learning-in-Mixed-Adversarial-and-Collaborative-Settings
1fa4cd6a566c8745f455fc3d2273208f21f88ced
[ "bzip2-1.0.6" ]
null
null
null
Lib/site-packages/tensorflow/contrib/distribute/python/input_ops.py
shfkdroal/Robot-Learning-in-Mixed-Adversarial-and-Collaborative-Settings
1fa4cd6a566c8745f455fc3d2273208f21f88ced
[ "bzip2-1.0.6" ]
1
2022-02-08T03:53:23.000Z
2022-02-08T03:53:23.000Z
# Copyright 2018 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by...
45.021277
81
0.684783
802
6,348
5.245636
0.314214
0.031376
0.037081
0.02377
0.195151
0.144996
0.117899
0.100309
0.082719
0.082719
0
0.002489
0.240391
6,348
140
82
45.342857
0.869971
0.451481
0
0.26087
0
0
0.102454
0.022393
0
0
0
0.014286
0
1
0.028986
false
0
0.130435
0
0.275362
0.014493
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
86dc569e4feaee5c6e72d657b5dd98dd5f50c69c
13,370
py
Python
sdk/python/pulumi_azure_native/storsimple/storage_account_credential.py
sebtelko/pulumi-azure-native
711ec021b5c73da05611c56c8a35adb0ce3244e4
[ "Apache-2.0" ]
null
null
null
sdk/python/pulumi_azure_native/storsimple/storage_account_credential.py
sebtelko/pulumi-azure-native
711ec021b5c73da05611c56c8a35adb0ce3244e4
[ "Apache-2.0" ]
null
null
null
sdk/python/pulumi_azure_native/storsimple/storage_account_credential.py
sebtelko/pulumi-azure-native
711ec021b5c73da05611c56c8a35adb0ce3244e4
[ "Apache-2.0" ]
null
null
null
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities from...
43.129032
456
0.6546
1,468
13,370
5.649183
0.114441
0.068974
0.050645
0.060774
0.673339
0.570602
0.511033
0.443989
0.395273
0.359339
0
0.006431
0.244054
13,370
309
457
43.268608
0.814089
0.207255
0
0.354167
1
0
0.160906
0.076746
0
0
0
0
0
1
0.140625
false
0.005208
0.041667
0
0.270833
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
86dfc16696edc8e34d65157e8799fc526c6d214d
308
py
Python
src/6/6974.py
youngdaLee/Baekjoon
7d858d557dbbde6603fe4e8af2891c2b0e1940c0
[ "MIT" ]
11
2020-09-20T15:17:11.000Z
2022-03-17T12:43:33.000Z
src/6/6974.py
youngdaLee/Baekjoon
7d858d557dbbde6603fe4e8af2891c2b0e1940c0
[ "MIT" ]
3
2021-10-30T07:51:36.000Z
2022-03-09T05:19:23.000Z
src/6/6974.py
youngdaLee/Baekjoon
7d858d557dbbde6603fe4e8af2891c2b0e1940c0
[ "MIT" ]
13
2021-01-21T03:19:08.000Z
2022-03-28T10:44:58.000Z
""" 6974. Long Division 작성자: xCrypt0r 언어: Python 3 사용 메모리: 29,088 KB 소요 시간: 72 ms 해결 날짜: 2020년 11월 26일 """ def main(): n = int(input()) for _ in range(n): a, b = map(int, [input(), input()]) print(a // b) print(a % b) print() if __name__ == '__main__': main()
14
43
0.512987
48
308
3.104167
0.75
0.040268
0.09396
0.161074
0
0
0
0
0
0
0
0.1
0.318182
308
22
44
14
0.609524
0.321429
0
0
0
0
0.039604
0
0
0
0
0
0
1
0.111111
false
0
0
0
0.111111
0.333333
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
86e1b0f0a24050060792964dcfc918a7a433c67a
1,841
py
Python
examples/run_simple_example_levy_walk.py
ComplexNetTSP/CooperativeNetworking
ce74982820ee25c0e68e321976dd03fcfd952d9a
[ "MIT" ]
12
2017-03-23T03:41:29.000Z
2021-05-29T03:20:52.000Z
examples/run_simple_example_levy_walk.py
ComplexNetTSP/CooperativeNetworking
ce74982820ee25c0e68e321976dd03fcfd952d9a
[ "MIT" ]
null
null
null
examples/run_simple_example_levy_walk.py
ComplexNetTSP/CooperativeNetworking
ce74982820ee25c0e68e321976dd03fcfd952d9a
[ "MIT" ]
10
2016-01-20T15:28:06.000Z
2021-06-25T13:52:46.000Z
#!/usr/bin/python # -*- coding: utf-8 -*- # ------------------------------------------------------------------------------- # Copyright (c) 2012 Vincent Gauthier. # # Permission is hereby granted, free of charge, to any person obtaining # a copy of this software and associated documentation files (the # "Software"), t...
37.571429
81
0.61271
244
1,841
4.540984
0.577869
0.079422
0.023466
0
0
0
0
0
0
0
0
0.027484
0.229223
1,841
49
82
37.571429
0.753347
0.682238
0
0
0
0
0.014235
0
0
0
0
0
0
0
null
null
0
0.05
null
null
0.05
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
86e51efbd46812b418d01ef123c825d6801b4707
7,164
py
Python
scripts/data_preparation.py
JaeminBest/melgan-neurips
924cf5c53543589356f90b1f07fc93f752a3108e
[ "MIT" ]
null
null
null
scripts/data_preparation.py
JaeminBest/melgan-neurips
924cf5c53543589356f90b1f07fc93f752a3108e
[ "MIT" ]
null
null
null
scripts/data_preparation.py
JaeminBest/melgan-neurips
924cf5c53543589356f90b1f07fc93f752a3108e
[ "MIT" ]
null
null
null
''' generate final_train.txt if custom(-c): download data from s3, fill folder(--folder) and then generate final_train.txt and final_val.txt else: load data from folder(--folder) and then generate final_train(val).txt ''' import os import sys sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(_...
33.633803
135
0.628699
988
7,164
4.407895
0.181174
0.019288
0.026866
0.032147
0.473708
0.428932
0.411481
0.380253
0.364179
0.364179
0
0.007559
0.224456
7,164
212
136
33.792453
0.776278
0.075516
0
0.403727
1
0
0.104801
0.023323
0
0
0
0
0
1
0.031056
false
0
0.080745
0
0.136646
0.074534
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
86e92656eb5f31fb0364362f5762d553b679261d
17,690
py
Python
twilio/rest/trusthub/v1/trust_products/trust_products_channel_endpoint_assignment.py
BrimmingDev/twilio-python
3226b5fed92b3c2ce64f03e6b19fc4792ef7647f
[ "MIT" ]
1,362
2015-01-04T10:25:18.000Z
2022-03-24T10:07:08.000Z
twilio/rest/trusthub/v1/trust_products/trust_products_channel_endpoint_assignment.py
BrimmingDev/twilio-python
3226b5fed92b3c2ce64f03e6b19fc4792ef7647f
[ "MIT" ]
299
2015-01-30T09:52:39.000Z
2022-03-31T23:03:02.000Z
env/lib/python3.9/site-packages/twilio/rest/trusthub/v1/trust_products/trust_products_channel_endpoint_assignment.py
giannicrivello/AudioShack_BE
b50ba91b6904ac069fc37c98a691729932297b6a
[ "MIT" ]
622
2015-01-03T04:43:09.000Z
2022-03-29T14:11:00.000Z
# coding=utf-8 r""" This code was generated by \ / _ _ _| _ _ | (_)\/(_)(_|\/| |(/_ v1.0.0 / / """ from twilio.base import deserialize from twilio.base import values from twilio.base.instance_context import InstanceContext from twilio.base.instance_resource import InstanceResource from twilio.base...
41.820331
150
0.696552
1,724
17,690
6.917633
0.12239
0.085527
0.037733
0.036894
0.696545
0.687825
0.667701
0.644139
0.628543
0.591649
0
0.003826
0.231656
17,690
422
151
41.919431
0.873602
0.502544
0
0.366013
1
0
0.129877
0.060483
0
0
0
0
0
1
0.183007
false
0
0.039216
0
0.405229
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
86e97b2cb25cf24fdeabbdbd392ca0f2afdc651c
5,550
py
Python
code/models/CoreMetrics.py
ats0stv/Lisibilite
a2ef6141d52f739f7607c1b59e2c4b182388184d
[ "MIT" ]
4
2019-02-04T22:07:46.000Z
2020-05-17T20:21:14.000Z
code/models/CoreMetrics.py
ats0stv/Lisibilite
a2ef6141d52f739f7607c1b59e2c4b182388184d
[ "MIT" ]
34
2019-01-29T20:18:50.000Z
2020-07-04T11:25:11.000Z
code/models/CoreMetrics.py
ats0stv/Lisibilite
a2ef6141d52f739f7607c1b59e2c4b182388184d
[ "MIT" ]
2
2019-02-28T00:09:36.000Z
2020-03-30T05:41:43.000Z
import logging as LOG from typing import Dict from common.Constants import (CHARACTERS, COMPLEX_WORDS, EASY_WORDS, SENTENCES, SYLLABLES, WORDS) class CoreMetrics: def __init__(self): LOG.debug(f"{__name__} init") self.totalWords: int = 0 self.totalSentences: ...
36.038961
93
0.622703
565
5,550
6.081416
0.134513
0.041909
0.062864
0.062864
0.272992
0.250582
0.232829
0.185099
0.112631
0.079453
0
0.001527
0.292252
5,550
153
94
36.27451
0.873218
0.205946
0
0.064103
0
0
0.236327
0.068991
0
0
0
0
0
1
0.205128
false
0
0.038462
0.012821
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
1
0
0
0
0
0
0
0
1
86ed4d7505b7ee075497c5d1857e24d130d2df4e
1,112
py
Python
fastapi_sqlmodel_typer/routes/security.py
tzengwei/fastapi-sqlmodel-typer
83895ac87306ff0fae6487526c46918f1dff8c44
[ "Unlicense" ]
123
2021-09-13T18:39:36.000Z
2022-03-28T05:59:44.000Z
fastapi_sqlmodel_typer/routes/security.py
tzengwei/fastapi-sqlmodel-typer
83895ac87306ff0fae6487526c46918f1dff8c44
[ "Unlicense" ]
11
2021-09-15T09:47:35.000Z
2022-03-14T21:16:17.000Z
fastapi_sqlmodel_typer/routes/security.py
tzengwei/fastapi-sqlmodel-typer
83895ac87306ff0fae6487526c46918f1dff8c44
[ "Unlicense" ]
10
2021-09-15T11:07:36.000Z
2022-03-24T10:25:24.000Z
from datetime import timedelta from fastapi import APIRouter, Depends, HTTPException, status from fastapi.security import OAuth2PasswordRequestForm from ..config import settings from ..security import ( Token, User, authenticate_user, create_access_token, get_user, ) ACCESS_TOKEN_EXPIRE_MINUTES =...
28.512821
78
0.735612
127
1,112
6.15748
0.409449
0.154731
0.065217
0.092072
0
0
0
0
0
0
0
0.005476
0.178957
1,112
38
79
29.263158
0.851041
0
0
0
0
0
0.080036
0
0
0
0
0
0
1
0
false
0.137931
0.172414
0
0.206897
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
86ede3c4376ad78214490a4f0f9bf23d0ea04bd3
885
py
Python
utils/preprocessing.py
ashishthomaschempolil/Telco-customer-churn
d2a496a002bdeb85340c3c2dba59bb08004c644e
[ "MIT" ]
null
null
null
utils/preprocessing.py
ashishthomaschempolil/Telco-customer-churn
d2a496a002bdeb85340c3c2dba59bb08004c644e
[ "MIT" ]
null
null
null
utils/preprocessing.py
ashishthomaschempolil/Telco-customer-churn
d2a496a002bdeb85340c3c2dba59bb08004c644e
[ "MIT" ]
null
null
null
import pandas as pd import numpy as np import get_data as g class preprocess(): def __init__(self) -> None: self.col_to_remove = [] self.get_obj_vars = [] self.get_num_vars = [] def read_data(self, file_name:str)->pd.DataFrame: """ Method to read data from the ...
26.029412
64
0.550282
116
885
4.051724
0.37931
0.140426
0.046809
0.080851
0
0
0
0
0
0
0
0.007092
0.362712
885
34
65
26.029412
0.826241
0
0
0
0
0
0
0
0
0
0
0
0
0
null
null
0
0.214286
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
86ee212dc66427091e8175b1baf73d60cb1b5f5a
2,960
py
Python
examples/generic_associations/table_per_association.py
ContextLogic/sqlalchemy
b7adfe5e4d9baa61169ba79aa5ba8f64f0ff7645
[ "MIT" ]
8
2017-07-18T18:35:10.000Z
2022-02-01T19:52:57.000Z
examples/generic_associations/table_per_association.py
RetailArchitects/sqlalchemy
399a5c96b2fd0e0f2f0cdda7766b31e37454eb2e
[ "MIT" ]
null
null
null
examples/generic_associations/table_per_association.py
RetailArchitects/sqlalchemy
399a5c96b2fd0e0f2f0cdda7766b31e37454eb2e
[ "MIT" ]
6
2017-07-26T08:51:10.000Z
2021-03-04T10:16:37.000Z
"""table_per_association.py The HasAddresses mixin will provide a new "address_association" table for each parent class. The "address" table will be shared for all parents. This configuration has the advantage that all Address rows are in one table, so that the definition of "Address" can be maintained in one place...
27.924528
73
0.598649
320
2,960
5.365625
0.3625
0.041934
0.040186
0.025626
0.046593
0.046593
0.046593
0.046593
0
0
0
0.012231
0.309459
2,960
106
74
27.924528
0.827789
0.00473
0
0.166667
0
0
0.086582
0
0
0
0
0
0
0
null
null
0
0.045455
null
null
0.015152
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
86ee7f0b51b6361d9041f072a97198659466fe0e
3,561
py
Python
vdoxa/cli/arguments.py
xames3/vdoxa
8fa945449bb34447ded0c421214c0252ff523d4a
[ "Apache-2.0" ]
1
2020-02-04T08:18:54.000Z
2020-02-04T08:18:54.000Z
vdoxa/cli/arguments.py
xames3/vdoxa
8fa945449bb34447ded0c421214c0252ff523d4a
[ "Apache-2.0" ]
null
null
null
vdoxa/cli/arguments.py
xames3/vdoxa
8fa945449bb34447ded0c421214c0252ff523d4a
[ "Apache-2.0" ]
null
null
null
# Copyright 2020 XAMES3. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agree...
39.566667
78
0.570345
376
3,561
5.321809
0.420213
0.031484
0.05947
0.065967
0.26037
0.26037
0.215892
0.125937
0.125937
0.125937
0
0.004499
0.313395
3,561
89
79
40.011236
0.813906
0.338669
0
0.26087
0
0
0.148292
0
0
0
0
0
0
1
0.086957
false
0.065217
0.065217
0
0.152174
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
86ee8c1074014633f0b7f8a144bf4da15b8ba0c5
1,512
py
Python
Largest Permutation.py
Shaikh-Nabeel/HackerRankAlgorithms
3d11fd2c45bd045fa320691c8ac1c89acadc6d8a
[ "Apache-2.0" ]
null
null
null
Largest Permutation.py
Shaikh-Nabeel/HackerRankAlgorithms
3d11fd2c45bd045fa320691c8ac1c89acadc6d8a
[ "Apache-2.0" ]
null
null
null
Largest Permutation.py
Shaikh-Nabeel/HackerRankAlgorithms
3d11fd2c45bd045fa320691c8ac1c89acadc6d8a
[ "Apache-2.0" ]
null
null
null
# -*- coding: utf-8 -*- """ Problem Statement You are given an array of N integers which is a permuation of the first N natural numbers. You can swap any two elements of the array. You can make at most K swaps. What is the lexicographically largest permutation you can make? Input Format The first line of the input c...
28.528302
120
0.57209
217
1,512
3.930876
0.40553
0.03517
0.046893
0.025791
0.28136
0.229777
0.112544
0
0
0
0
0.005825
0.318783
1,512
52
121
29.076923
0.82233
0.027116
0
0
0
0
0.033877
0
0
0
0
0
0
0
null
null
0
0.04
null
null
0.04
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
86f13104d94fc91c54b01de06e3d5cdc06d42c51
11,236
py
Python
systrace/systrace/tracing_controller.py
tingshao/catapult
a8fe19e0c492472a8ed5710be9077e24cc517c5c
[ "BSD-3-Clause" ]
138
2020-12-09T07:08:43.000Z
2022-03-30T22:32:09.000Z
systrace/systrace/tracing_controller.py
tingshao/catapult
a8fe19e0c492472a8ed5710be9077e24cc517c5c
[ "BSD-3-Clause" ]
20
2020-04-08T13:50:39.000Z
2022-03-31T01:01:54.000Z
systrace/systrace/tracing_controller.py
tingshao/catapult
a8fe19e0c492472a8ed5710be9077e24cc517c5c
[ "BSD-3-Clause" ]
43
2020-12-11T09:43:14.000Z
2022-03-08T12:56:30.000Z
#!/usr/bin/env python # Copyright 2016 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. '''Tracing controller class. This class manages multiple tracing agents and collects data from all of them. It also manages the clock ...
36.245161
79
0.70639
1,408
11,236
5.463778
0.216619
0.042246
0.037177
0.025998
0.242428
0.193683
0.154686
0.102431
0.068634
0.046796
0
0.000692
0.228818
11,236
309
80
36.36246
0.887132
0.105198
0
0.162651
0
0
0.074833
0
0
0
0
0.003236
0.012048
0
null
null
0
0.054217
null
null
0.060241
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
86f27b4ee29820318155e11832fe5419632e7554
653
py
Python
app.py
ccolunga/flask_movie_api
e56ecfd2c482290221256fa3e4876090a5618b94
[ "MIT" ]
null
null
null
app.py
ccolunga/flask_movie_api
e56ecfd2c482290221256fa3e4876090a5618b94
[ "MIT" ]
null
null
null
app.py
ccolunga/flask_movie_api
e56ecfd2c482290221256fa3e4876090a5618b94
[ "MIT" ]
null
null
null
from flask import Flask from flask_bcrypt import Bcrypt from flask_jwt_extended import JWTManager from flask_mail import Mail from database.db import initialize_db #monkey patch because there are a issue in the flask-restful extension import flask.scaffold flask.helpers._endpoint_from_view_func = flask.scaffold._endpo...
25.115385
80
0.828484
100
653
5.17
0.41
0.087041
0.061896
0.077369
0
0
0
0
0
0
0
0
0.114855
653
25
81
26.12
0.894464
0.17611
0
0
0
0
0.031776
0
0
0
0
0
0
1
0
false
0
0.470588
0
0.470588
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
86f360b1c06a3f3e5d3accd0fdbde5e28f03c1dd
2,790
py
Python
quiz/migrations/0003_auto_20210109_0958.py
Muntasir-Mahmud/Django-GraphQL-Test
f72905ff078d152e460f0e81dbc075df023ee2aa
[ "MIT" ]
null
null
null
quiz/migrations/0003_auto_20210109_0958.py
Muntasir-Mahmud/Django-GraphQL-Test
f72905ff078d152e460f0e81dbc075df023ee2aa
[ "MIT" ]
null
null
null
quiz/migrations/0003_auto_20210109_0958.py
Muntasir-Mahmud/Django-GraphQL-Test
f72905ff078d152e460f0e81dbc075df023ee2aa
[ "MIT" ]
null
null
null
# Generated by Django 3.1.3 on 2021-01-09 03:58 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('quiz', '0002_auto_20210109_0939'), ] operations = [ migrations.CreateModel( name='Answer', ...
44.285714
190
0.586738
282
2,790
5.648936
0.304965
0.069052
0.05022
0.055242
0.43189
0.41494
0.41494
0.367232
0.287508
0.287508
0
0.025403
0.266308
2,790
62
191
45
0.752809
0.016129
0
0.446429
1
0
0.139628
0.008385
0
0
0
0
0
1
0
false
0
0.035714
0
0.089286
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
86f534399a338c03e9d84460d25a3da7d458f3e0
2,711
py
Python
app.py
rajan-blackboxes/dog-breed-classifier
d82b83e8bc20aad7110277253f2f5948b933c84a
[ "MIT" ]
null
null
null
app.py
rajan-blackboxes/dog-breed-classifier
d82b83e8bc20aad7110277253f2f5948b933c84a
[ "MIT" ]
null
null
null
app.py
rajan-blackboxes/dog-breed-classifier
d82b83e8bc20aad7110277253f2f5948b933c84a
[ "MIT" ]
null
null
null
import numpy as np import pandas as pd import matplotlib.pyplot as plt import cv2 import torch import torchvision from glob import glob from models import model_transfer, use_cuda from PIL import Image import torchvision.transforms as transforms,ToPILImage # list of class names by index, i.e. a name can be accessed li...
30.460674
87
0.702693
388
2,711
4.770619
0.430412
0.02269
0.018368
0.023771
0.023771
0
0
0
0
0
0
0.028455
0.183327
2,711
89
88
30.460674
0.807588
0
0
0
0
0
0.113873
0.030728
0
0
0
0
0
0
null
null
0
0.188679
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
86f56c1502add8d197e51a0e262d3b44a398d56a
1,012
py
Python
Problems/TwoSum/python/TwoSum.py
amolofos/kata
55efb173bbe9f38af724dc9d821f2d4cdc774482
[ "MIT" ]
null
null
null
Problems/TwoSum/python/TwoSum.py
amolofos/kata
55efb173bbe9f38af724dc9d821f2d4cdc774482
[ "MIT" ]
null
null
null
Problems/TwoSum/python/TwoSum.py
amolofos/kata
55efb173bbe9f38af724dc9d821f2d4cdc774482
[ "MIT" ]
null
null
null
#!/usr/bin/env python # ----------------------------------------------------------------------------- # This is based on https://leetcode.com/problems/maximum-subarray/discuss/581559/Python-Super-Easy-99.9-Speed # ----------------------------------------------------------------------------- from __future__ import prin...
30.666667
109
0.464427
111
1,012
4.171171
0.504505
0.025918
0.047516
0.056156
0.259179
0.259179
0.159827
0.159827
0
0
0
0.025641
0.267787
1,012
32
110
31.625
0.59919
0.371542
0
0.117647
0
0
0
0
0
0
0
0
0
1
0.117647
false
0
0.176471
0
0.588235
0.058824
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
86f85d37b9892e9e11aa9fa76a678e07b88874e3
2,669
py
Python
tests/unit/test_theme.py
mirecl/python-inquirer
dad24db0005698da3014d8224e7e4ca4fd22de02
[ "MIT" ]
null
null
null
tests/unit/test_theme.py
mirecl/python-inquirer
dad24db0005698da3014d8224e7e4ca4fd22de02
[ "MIT" ]
null
null
null
tests/unit/test_theme.py
mirecl/python-inquirer
dad24db0005698da3014d8224e7e4ca4fd22de02
[ "MIT" ]
null
null
null
import json import unittest from blessed import Terminal from inquirer import themes from inquirer import errors class ThemeTests(unittest.TestCase): def setUp(self): self.term = Terminal() self.theme_dict = { 'Question': { 'mark_color': 'red', 'bracke...
32.950617
72
0.632821
309
2,669
5.249191
0.18123
0.128237
0.138101
0.081998
0.64365
0.435265
0.338471
0.338471
0.324291
0.324291
0
0.008996
0.250281
2,669
80
73
33.3625
0.801599
0
0
0.181818
0
0
0.155114
0
0
0
0
0
0.424242
1
0.090909
false
0.030303
0.075758
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
0
0
0
0
null
0
0
0
1
0
0
0
0
0
0
0
0
0
1
86ff0cd609096b73727f554ac76e85e6299bebcf
9,295
py
Python
o3d/gypbuild.py
rwatson/chromium-capsicum
b03da8e897f897c6ad2cda03ceda217b760fd528
[ "BSD-3-Clause" ]
11
2015-03-20T04:08:08.000Z
2021-11-15T15:51:36.000Z
o3d/gypbuild.py
rwatson/chromium-capsicum
b03da8e897f897c6ad2cda03ceda217b760fd528
[ "BSD-3-Clause" ]
null
null
null
o3d/gypbuild.py
rwatson/chromium-capsicum
b03da8e897f897c6ad2cda03ceda217b760fd528
[ "BSD-3-Clause" ]
null
null
null
#! /usr/bin/env python # Copyright 2009 Google Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law o...
31.296296
75
0.605164
1,079
9,295
5.13531
0.269694
0.037899
0.032485
0.025988
0.302292
0.262949
0.257354
0.232449
0.223606
0.205198
0
0.01135
0.270145
9,295
296
76
31.402027
0.805425
0.16482
0
0.295699
0
0
0.178186
0.003208
0
0
0
0.003378
0
0
null
null
0
0.043011
null
null
0.080645
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
81013ef7ef131adfec131ac6f657a3856b7e9356
6,995
py
Python
generate_family_file.py
jkjkjkjkjk/pywikibot-core
f3748c95ea694083ae00534973d0d1dd018a5b43
[ "MIT" ]
null
null
null
generate_family_file.py
jkjkjkjkjk/pywikibot-core
f3748c95ea694083ae00534973d0d1dd018a5b43
[ "MIT" ]
null
null
null
generate_family_file.py
jkjkjkjkjk/pywikibot-core
f3748c95ea694083ae00534973d0d1dd018a5b43
[ "MIT" ]
1
2019-01-19T17:57:23.000Z
2019-01-19T17:57:23.000Z
#!/usr/bin/python # -*- coding: utf-8 -*- """ This script generates a family file from a given URL. Hackish, etc. Regexps, yes. Sorry, jwz. """ from __future__ import (absolute_import, division, print_function, unicode_literals) # # (C) Merlijn van Deen, 2010-2013 # (C) Pywikibot team, 2010-201...
33.151659
86
0.511365
835
6,995
4.197605
0.279042
0.032525
0.017974
0.015692
0.16234
0.125535
0.087019
0.087019
0.087019
0.073324
0
0.018427
0.332809
6,995
210
87
33.309524
0.732591
0.102788
0
0.230263
1
0
0.297106
0.062379
0
0
0
0
0
1
0.032895
false
0.013158
0.059211
0
0.098684
0.144737
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
8101a77f7f408c2d57ce906578cb2308124ed161
754
py
Python
basic/chapter5/cars.py
niyiwei/python-study
c7152306d5cd1d1b4813ce94778e81adce2aa14f
[ "Apache-2.0" ]
null
null
null
basic/chapter5/cars.py
niyiwei/python-study
c7152306d5cd1d1b4813ce94778e81adce2aa14f
[ "Apache-2.0" ]
null
null
null
basic/chapter5/cars.py
niyiwei/python-study
c7152306d5cd1d1b4813ce94778e81adce2aa14f
[ "Apache-2.0" ]
null
null
null
cars = ['audi', 'bmw', 'subaru', 'toyoto'] #使用if判断 for car in cars: if car == 'bmw': print(car.upper()) else: print(car) #多个判断条件 if xx ==xx and xx == xx #只有要一个满足使用 if xx ==xx or xx == xx #检查特定值是否包含在列表中 in 'xx' in xxList #检查特定值是否不包含在列表中 not in | if user not in bannedUsers car = 'subaru' print("Is car...
13.709091
53
0.574271
133
754
3.255639
0.300752
0.036952
0.036952
0.083141
0.191686
0.191686
0.166282
0.166282
0.166282
0.166282
0
0.060708
0.213528
754
55
54
13.709091
0.669477
0.286472
0
0.606061
0
0
0.226415
0
0
0
0
0
0
1
0
false
0
0
0
0
0.484848
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
810319968212348f254ecba3d415e54363de3935
17,436
py
Python
colour/colorimetry/tests/test_lightness.py
gutenzwerg/colour
299eceb57483213e2544d532a6d3727887e49426
[ "BSD-3-Clause" ]
6
2019-06-18T18:53:29.000Z
2021-09-10T21:02:45.000Z
colour/colorimetry/tests/test_lightness.py
jedypod/colour
24c98dc6e8ac041f8a823a9fce83857faaebc367
[ "BSD-3-Clause" ]
null
null
null
colour/colorimetry/tests/test_lightness.py
jedypod/colour
24c98dc6e8ac041f8a823a9fce83857faaebc367
[ "BSD-3-Clause" ]
null
null
null
# -*- coding: utf-8 -*- """ Defines unit tests for :mod:`colour.colorimetry.lightness` module. """ import numpy as np import unittest from colour.colorimetry import (lightness_Glasser1958, lightness_Wyszecki1963, intermediate_lightness_function_CIE1976, ...
32.898113
79
0.626118
1,911
17,436
5.4809
0.093668
0.056807
0.084399
0.091656
0.785469
0.781841
0.685125
0.59958
0.510025
0.480141
0
0.139931
0.269213
17,436
529
80
32.960302
0.682075
0.185478
0
0.505376
0
0
0.036928
0.013312
0
0
0
0
0.18638
1
0.089606
false
0
0.017921
0
0.132616
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
810348b57d411fad497bdd289d9492c73f7456cf
869
py
Python
pandora/models/bookmark.py
mspencer92/pydora
5794cad9ddcbb53a75fa996efc52bcedb1624896
[ "MIT" ]
56
2015-03-09T19:10:58.000Z
2022-01-26T20:30:16.000Z
pandora/models/bookmark.py
mspencer92/pydora
5794cad9ddcbb53a75fa996efc52bcedb1624896
[ "MIT" ]
65
2015-03-16T05:47:27.000Z
2022-02-01T21:07:52.000Z
pandora/models/bookmark.py
mspencer92/pydora
5794cad9ddcbb53a75fa996efc52bcedb1624896
[ "MIT" ]
27
2015-06-22T02:39:55.000Z
2021-03-19T21:49:19.000Z
from ._base import PandoraModel, Field, DateField class Bookmark(PandoraModel): music_token = Field("musicToken") artist_name = Field("artistName") art_url = Field("artUrl") bookmark_token = Field("bookmarkToken") date_created = DateField("dateCreated") # song only sample_url = Field("sa...
26.333333
72
0.689298
100
869
5.74
0.46
0.083624
0.083624
0.062718
0
0
0
0
0
0
0
0
0.207135
869
32
73
27.15625
0.833091
0.010357
0
0
0
0
0.114219
0
0
0
0
0
0
1
0.090909
false
0
0.045455
0.045455
0.772727
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
810456cee5f1bc7aaac4fc79ba7b03848a021875
443
py
Python
examples/GuessNumberUsingBreak.py
Ellis0817/Introduction-to-Programming-Using-Python
1882a2a846162d5ff56d4d56c3940b638ef408bd
[ "MIT" ]
null
null
null
examples/GuessNumberUsingBreak.py
Ellis0817/Introduction-to-Programming-Using-Python
1882a2a846162d5ff56d4d56c3940b638ef408bd
[ "MIT" ]
4
2019-11-07T12:32:19.000Z
2020-07-19T14:04:44.000Z
examples/GuessNumberUsingBreak.py
Ellis0817/Introduction-to-Programming-Using-Python
1882a2a846162d5ff56d4d56c3940b638ef408bd
[ "MIT" ]
5
2019-12-04T15:56:55.000Z
2022-01-14T06:19:18.000Z
import random #Generate a random number to be guessed number = random.randint(0, 100) print("Guess a magic number between 0 and 100") while True: #Prompt the user to guess the number guess = eval(input("Enter your guess: ")) if guess == number: print("Yes, the number is " + str(number)) ...
23.315789
50
0.629797
65
443
4.292308
0.538462
0.096774
0.114695
0.114695
0.136201
0
0
0
0
0
0
0.024922
0.275395
443
18
51
24.611111
0.844237
0.164786
0
0
1
0
0.320652
0
0
0
0
0
0
1
0
false
0
0.083333
0
0.083333
0.333333
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
8108091b9d67c97a1e542cde90447e314b7036cb
7,716
py
Python
housekeeper/housekeeper.py
tuenti/housekeeper
00ccc51ab29ffcbb1ff4ec2cdc948b4db9dea388
[ "MIT" ]
1
2015-05-18T23:03:47.000Z
2015-05-18T23:03:47.000Z
housekeeper/housekeeper.py
jsoriano/housekeeper
00ccc51ab29ffcbb1ff4ec2cdc948b4db9dea388
[ "MIT" ]
null
null
null
housekeeper/housekeeper.py
jsoriano/housekeeper
00ccc51ab29ffcbb1ff4ec2cdc948b4db9dea388
[ "MIT" ]
null
null
null
#!/usr/bin/python # Copyright (c) 2012 Tuenti Technologies # See LICENSE for details import os import os.path import signal import sys import daemon try: import daemon.pidlockfile as pidlockfile except: import daemon.pidfile as pidlockfile import threading import time import socket class MissingKeyException(E...
30.619048
106
0.573095
826
7,716
5.239709
0.231235
0.033272
0.024954
0.01756
0.112061
0.064233
0.039279
0.021719
0
0
0
0.005879
0.316615
7,716
251
107
30.741036
0.814906
0.027475
0
0.146341
0
0
0.085634
0.021342
0
0
0
0.003984
0
0
null
null
0.019512
0.053659
null
null
0.004878
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
81099c6d36dd969b314364aae44f58bc68c0ee99
1,228
py
Python
LRUCache.py
pflun/learningAlgorithms
3101e989488dfc8a56f1bf256a1c03a837fe7d97
[ "MIT" ]
null
null
null
LRUCache.py
pflun/learningAlgorithms
3101e989488dfc8a56f1bf256a1c03a837fe7d97
[ "MIT" ]
null
null
null
LRUCache.py
pflun/learningAlgorithms
3101e989488dfc8a56f1bf256a1c03a837fe7d97
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- # https://aaronice.gitbooks.io/lintcode/content/data_structure/lru_cache.html # https://www.youtube.com/watch?v=q1Njd3NWvlY # A solution not using OrderedDict: https://discuss.leetcode.com/topic/14591/python-dict-double-linkedlist # Heap, logn: https://discuss.leetcode.com/topic/45789/python-sol...
31.487179
106
0.629479
179
1,228
4.284916
0.480447
0.082138
0.052151
0.059974
0.073012
0
0
0
0
0
0
0.028939
0.240228
1,228
39
107
31.487179
0.79314
0.42671
0
0.074074
0
0
0
0
0
0
0
0
0
0
null
null
0
0.037037
null
null
0.074074
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
810ac3bcb36eef1008b9b0cabd8b036d97509ebe
2,028
py
Python
biblary/forms.py
sphuber/biblary
557b5a577a62e17983765e577d17a45bc72051b8
[ "MIT" ]
null
null
null
biblary/forms.py
sphuber/biblary
557b5a577a62e17983765e577d17a45bc72051b8
[ "MIT" ]
null
null
null
biblary/forms.py
sphuber/biblary
557b5a577a62e17983765e577d17a45bc72051b8
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """Module with form and form field definitions.""" from django import forms from .bibliography.storage import FileType __all__ = ('BibliographyUploadFileForm', 'BibliographyUploadEntryForm') class FileTypeField(forms.TypedChoiceField): """Form field that provides a choice of a :class:`bi...
40.56
120
0.696746
243
2,028
5.703704
0.411523
0.036075
0.069264
0.058442
0.088023
0.031746
0
0
0
0
0
0.000609
0.189842
2,028
49
121
41.387755
0.84297
0.480276
0
0
0
0
0.128866
0.054639
0
0
0
0
0
1
0.055556
false
0
0.111111
0
0.555556
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
8110789e40d94b5e52ab12f308d69321075a711b
669
py
Python
apps/alvo/models.py
dahn94/django_map
df0a292c954076fc45aa05d75c956e7e531d5d86
[ "MIT" ]
null
null
null
apps/alvo/models.py
dahn94/django_map
df0a292c954076fc45aa05d75c956e7e531d5d86
[ "MIT" ]
null
null
null
apps/alvo/models.py
dahn94/django_map
df0a292c954076fc45aa05d75c956e7e531d5d86
[ "MIT" ]
null
null
null
from django.db import models import uuid class Alvo(models.Model): identificador = models.UUIDField(verbose_name='UUID', default=uuid.uuid4, unique=True, primary_key=True) nome = models.CharField(max_length=30, verbose_name='Nome do Alvo') latitude = models.DecimalField(max_digits=10, decimal_places=6, v...
44.6
127
0.753363
93
669
5.215054
0.548387
0.113402
0.086598
0.11134
0.317526
0.22268
0.22268
0.22268
0.22268
0.22268
0
0.042589
0.122571
669
14
128
47.785714
0.783646
0
0
0
0
0
0.158445
0
0
0
0
0
0
1
0.1
false
0
0.2
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
8112fa382635ae7ef7ca641b08d31d857c41e55a
1,060
py
Python
setup.py
plivo/django-countries
ef2829236f25780f80162f6b67cec1fbf84d2a1f
[ "BSD-3-Clause" ]
null
null
null
setup.py
plivo/django-countries
ef2829236f25780f80162f6b67cec1fbf84d2a1f
[ "BSD-3-Clause" ]
null
null
null
setup.py
plivo/django-countries
ef2829236f25780f80162f6b67cec1fbf84d2a1f
[ "BSD-3-Clause" ]
2
2016-06-15T11:39:28.000Z
2020-11-12T10:19:54.000Z
from setuptools import setup, find_packages setup( name='django-countries', version=__import__('countries').__version__, description='Provides various Django utilities for a complete list of world countries.', long_description=open('docs/overview.txt').read(), # Get more strings from http://www.pyt...
37.857143
92
0.670755
116
1,060
5.974138
0.741379
0.034632
0
0
0
0
0
0
0
0
0
0.002361
0.200943
1,060
27
93
39.259259
0.815821
0.114151
0
0
0
0
0.497863
0
0
0
0
0
0
1
0
true
0
0.08
0
0.08
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
81158212b3107d0c09fb9b8bb1cd722626482dc8
1,769
py
Python
src/datahub/common/date_range.py
project-origin/datahub-service
0c3f27ee4fa0381ce3147f1fffef1108f13dc2c2
[ "MIT" ]
1
2021-04-23T08:19:49.000Z
2021-04-23T08:19:49.000Z
src/datahub/common/date_range.py
project-origin/datahub-service
0c3f27ee4fa0381ce3147f1fffef1108f13dc2c2
[ "MIT" ]
1
2021-02-10T02:28:52.000Z
2021-02-10T02:28:52.000Z
src/datahub/common/date_range.py
project-origin/datahub-service
0c3f27ee4fa0381ce3147f1fffef1108f13dc2c2
[ "MIT" ]
null
null
null
from datetime import datetime from dateutil.relativedelta import relativedelta from .models import SummaryResolution class LabelRange(object): """ Generates an ordered list of labels each corresponding to a period of time (defined by its begin, end, and the "resolution" parameter). For example, prov...
27.640625
72
0.619559
194
1,769
5.57732
0.386598
0.007394
0.02403
0
0
0
0
0
0
0
0
0.037209
0.270774
1,769
63
73
28.079365
0.80155
0.293386
0
0
1
0
0.024957
0
0
0
0
0
0
1
0.09375
false
0
0.09375
0.03125
0.34375
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
811b201f3f9603f6e79a2d1f4a3200d9c7e8042d
4,728
py
Python
Data Generation/multichannel_mixture_file_creation.py
furkanarius/Multichannel-Speech-Enhancement-with-Deep-Neural-Networks
8d6905e0a753af5ff522655810d6d1dac76a7dc1
[ "MIT" ]
4
2020-10-29T20:59:39.000Z
2021-09-13T02:32:00.000Z
Data Generation/multichannel_mixture_file_creation.py
furkanarius/Multichannel-Speech-Enhancement-with-Deep-Neural-Networks
8d6905e0a753af5ff522655810d6d1dac76a7dc1
[ "MIT" ]
null
null
null
Data Generation/multichannel_mixture_file_creation.py
furkanarius/Multichannel-Speech-Enhancement-with-Deep-Neural-Networks
8d6905e0a753af5ff522655810d6d1dac76a7dc1
[ "MIT" ]
null
null
null
''' This code generates wav files with 4 channels. It contains noise and audio with randomly selected locations for room, noise and speech source. ''' import time import numpy as np import pyroomacoustics as pra from scipy.io import wavfile import scipy import os, random import librosa import pyloudnorm from pathlib im...
37.52381
103
0.65736
732
4,728
4.002732
0.218579
0.015017
0.014334
0.060068
0.325597
0.27884
0.237201
0.182253
0.179181
0.169283
0
0.02818
0.211929
4,728
125
104
37.824
0.758186
0.157572
0
0.094118
1
0
0.027813
0
0
0
0
0
0
1
0.011765
false
0
0.117647
0.011765
0.141176
0.011765
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
8120e201eb91e81fdc78192ba6c8a643c641bf4d
1,310
py
Python
api/serializers.py
curioswati/e-library
6d045127759ed8128cda6a0ca6836d9dba84ffca
[ "MIT" ]
null
null
null
api/serializers.py
curioswati/e-library
6d045127759ed8128cda6a0ca6836d9dba84ffca
[ "MIT" ]
null
null
null
api/serializers.py
curioswati/e-library
6d045127759ed8128cda6a0ca6836d9dba84ffca
[ "MIT" ]
null
null
null
from flask_marshmallow import Marshmallow from marshmallow import Schema, post_load from api.models import Book, Transaction, User ma = Marshmallow() class ResponseSchema(Schema): class Meta: fields = ('url', ) class BookSchema(ma.SQLAlchemyAutoSchema): ''' Serializes book from and to DB. ...
20.793651
70
0.646565
150
1,310
5.526667
0.28
0.038601
0.115802
0.039807
0.332931
0.332931
0.177322
0.147165
0.147165
0.147165
0
0
0.237405
1,310
62
71
21.129032
0.82983
0.072519
0
0.285714
0
0
0.029085
0
0
0
0
0
0
1
0.085714
false
0
0.085714
0.085714
0.571429
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
81263e49867e73a153bcc9e179df245494344217
2,954
py
Python
portal/apps/cartelera/views.py
Artis-Physis/utopia-cms
5cb8d941d0b2df53fddc566a52e9d3baee4a007e
[ "BSD-3-Clause" ]
8
2020-12-15T17:11:08.000Z
2021-12-13T22:08:33.000Z
portal/apps/cartelera/views.py
Artis-Physis/utopia-cms
5cb8d941d0b2df53fddc566a52e9d3baee4a007e
[ "BSD-3-Clause" ]
28
2020-12-15T17:34:03.000Z
2022-02-01T04:09:10.000Z
portal/apps/cartelera/views.py
Artis-Physis/utopia-cms
5cb8d941d0b2df53fddc566a52e9d3baee4a007e
[ "BSD-3-Clause" ]
7
2020-12-15T19:59:17.000Z
2021-11-24T16:47:06.000Z
from django.conf import settings from django.http import HttpResponse from django.views.decorators.cache import never_cache from django.contrib.admin.views.decorators import staff_member_required from django.shortcuts import get_object_or_404, render from models import Pelicula, ObraTeatro, Evento, Cine, CategoriaEven...
36.02439
119
0.745091
375
2,954
5.656
0.312
0.042433
0.071664
0.105611
0.30363
0.235738
0.094295
0.094295
0.052805
0
0
0.00838
0.151659
2,954
81
120
36.469136
0.837989
0.109682
0
0.241379
0
0
0.177171
0.11299
0
0
0
0.012346
0
1
0.137931
false
0
0.103448
0
0.396552
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
812aadbe3b5314a31c397d5408c31f2ffeff619c
701
py
Python
v1/teams/migrations/0008_auto_20210219_0551.py
buckyroberts/Website-API
e74d202a41533c7622acbe12c793d047d44012ad
[ "MIT" ]
64
2020-10-02T02:58:06.000Z
2022-01-29T20:00:50.000Z
v1/teams/migrations/0008_auto_20210219_0551.py
buckyroberts/Website-API
e74d202a41533c7622acbe12c793d047d44012ad
[ "MIT" ]
93
2020-10-04T22:53:46.000Z
2022-03-05T18:17:46.000Z
v1/teams/migrations/0008_auto_20210219_0551.py
buckyroberts/Website-API
e74d202a41533c7622acbe12c793d047d44012ad
[ "MIT" ]
21
2020-10-11T14:16:13.000Z
2021-11-09T17:50:25.000Z
# Generated by Django 3.1.6 on 2021-02-19 05:51 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('teams', '0007_slackchannel'), ] operations = [ migrations.AlterModelOptions( name='slackchannel...
29.208333
152
0.633381
74
701
5.878378
0.621622
0.055172
0.064368
0.101149
0
0
0
0
0
0
0
0.035448
0.235378
701
23
153
30.478261
0.776119
0.064194
0
0.117647
1
0
0.201835
0
0
0
0
0
0
1
0
false
0
0.117647
0
0.294118
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
8130e751ac769cad6bac41fba9baca8e7c0f61aa
470
py
Python
bounties_api/std_bounties/migrations/0011_fulfillment_url.py
tenthirtyone/BountiesAPI
2bb449a947d987072be24633ba36fbd67c0ab29b
[ "MIT" ]
45
2018-03-24T21:37:59.000Z
2021-11-12T11:53:04.000Z
bounties_api/std_bounties/migrations/0011_fulfillment_url.py
tenthirtyone/BountiesAPI
2bb449a947d987072be24633ba36fbd67c0ab29b
[ "MIT" ]
192
2018-03-15T22:42:51.000Z
2022-02-12T11:42:20.000Z
bounties_api/std_bounties/migrations/0011_fulfillment_url.py
tenthirtyone/BountiesAPI
2bb449a947d987072be24633ba36fbd67c0ab29b
[ "MIT" ]
27
2018-03-23T17:12:27.000Z
2021-12-06T02:21:26.000Z
# -*- coding: utf-8 -*- # Generated by Django 1.11.14 on 2018-08-11 15:29 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('std_bounties', '0010_auto_20180803_0051'), ] operations = [ migrations.Add...
22.380952
63
0.625532
53
470
5.339623
0.830189
0
0
0
0
0
0
0
0
0
0
0.106017
0.257447
470
20
64
23.5
0.704871
0.146809
0
0
1
0
0.123116
0.057789
0
0
0
0
0
1
0
false
0
0.153846
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
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
813612dd9313d72e5a08f7b223bb8efc7d4ef331
254
py
Python
sms/apps/customers/admin.py
vyshakTs/STORE_MANAGEMENT_SYSTEM
b6b82a02c0b512083c35a8656e191436552569a9
[ "CC0-1.0" ]
null
null
null
sms/apps/customers/admin.py
vyshakTs/STORE_MANAGEMENT_SYSTEM
b6b82a02c0b512083c35a8656e191436552569a9
[ "CC0-1.0" ]
null
null
null
sms/apps/customers/admin.py
vyshakTs/STORE_MANAGEMENT_SYSTEM
b6b82a02c0b512083c35a8656e191436552569a9
[ "CC0-1.0" ]
null
null
null
from django.contrib import admin from .models import CustomerProfile # Register your models here. @admin.register(CustomerProfile) class CustomerProfileAdmin(admin.ModelAdmin): list_display = [ 'user', 'phone_no', 'dob', ]
19.538462
45
0.692913
26
254
6.692308
0.730769
0
0
0
0
0
0
0
0
0
0
0
0.212598
254
13
46
19.538462
0.87
0.102362
0
0
0
0
0.066079
0
0
0
0
0
0
1
0
false
0
0.222222
0
0.444444
0
1
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
0
0
1
81389e7df9104d38e47d903e67197304fc70a0f5
779
py
Python
utils/mean_values.py
SivagamiNambi/Pytorch3d
ca27d69bd53a89649490cee66164ba2e733835b5
[ "Apache-2.0" ]
162
2018-05-18T09:06:45.000Z
2022-03-02T10:11:55.000Z
utils/mean_values.py
SivagamiNambi/Pytorch3d
ca27d69bd53a89649490cee66164ba2e733835b5
[ "Apache-2.0" ]
9
2018-09-02T16:39:06.000Z
2021-11-01T19:18:35.000Z
utils/mean_values.py
SivagamiNambi/Pytorch3d
ca27d69bd53a89649490cee66164ba2e733835b5
[ "Apache-2.0" ]
30
2018-11-28T13:01:44.000Z
2022-03-07T14:23:02.000Z
# Source: https://github.com/kenshohara/3D-ResNets-PyTorch/blob/master/mean.py def get_mean(norm_value=255, dataset='activitynet'): # Below values are in RGB order assert dataset in ['activitynet', 'kinetics', 'ucf101'] if dataset == 'activitynet': return [114.7748/norm_value, 107.7354/norm_value...
43.277778
89
0.712452
111
779
4.855856
0.54955
0.233766
0.044527
0.074212
0.12616
0.12616
0.12616
0
0
0
0
0.191424
0.161746
779
18
90
43.277778
0.633997
0.228498
0
0
0
0
0.102178
0
0
0
0
0
0.1
1
0.2
false
0
0
0.1
0.6
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
813eb5785e7564f2575e726b025d14f3c515976a
3,921
py
Python
rgdsnatch.py
wcmckee/niketa
299daf5e7076e771a9db615d8d954c57a2855827
[ "MIT" ]
null
null
null
rgdsnatch.py
wcmckee/niketa
299daf5e7076e771a9db615d8d954c57a2855827
[ "MIT" ]
null
null
null
rgdsnatch.py
wcmckee/niketa
299daf5e7076e771a9db615d8d954c57a2855827
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- # <nbformat>3.0</nbformat> # <headingcell level=4> # rgdsnatch: script to get post data from RedditGetsDrawn and post to artcontroldrawsyou # <codecell> import os import random import requests import re import json import praw # <codecell> os.chdir('/home/pi/rgd') # <codecell> r = praw.R...
11.774775
88
0.6228
450
3,921
5.395556
0.3
0.025947
0.019769
0.019769
0.096376
0.061779
0.061779
0.061779
0.037068
0
0
0.004843
0.21015
3,921
332
89
11.810241
0.779141
0.459577
0
0.08
0
0
0.087456
0
0
0
0
0
0
0
null
null
0
0.106667
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
8143aa6b9bb7cb5532354e81e334316f35179c6b
427
py
Python
covid_19/users_app/urls.py
MikePolyakov/djanjo_project
4d80cac9142bacdaa91b5f7be0c7377a365c3db9
[ "MIT" ]
null
null
null
covid_19/users_app/urls.py
MikePolyakov/djanjo_project
4d80cac9142bacdaa91b5f7be0c7377a365c3db9
[ "MIT" ]
6
2021-06-04T23:11:44.000Z
2022-03-12T00:29:55.000Z
covid_19/users_app/urls.py
id2k1149/django_project
4d80cac9142bacdaa91b5f7be0c7377a365c3db9
[ "MIT" ]
null
null
null
from django.urls import path from users_app import views from django.contrib.auth.views import LogoutView app_name = 'users_app' urlpatterns = [ path('login/', views.UserLoginView.as_view(), name='login'), path('logout/', LogoutView.as_view(), name='logout'), path('register/', views.UserCreateView.as_view...
32.846154
82
0.723653
55
427
5.454545
0.418182
0.08
0.133333
0
0
0
0
0
0
0
0
0
0.114754
427
12
83
35.583333
0.793651
0
0
0
0
0
0.17096
0
0
0
0
0
0
1
0
false
0.1
0.3
0
0.3
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
d48dfccd70db8411fec0a456be3448d4557c406e
756
py
Python
report.py
w84death/temp-hum-reporter
b971011198e6208cfe4a669f91ff516e1eb9bd3f
[ "MIT" ]
null
null
null
report.py
w84death/temp-hum-reporter
b971011198e6208cfe4a669f91ff516e1eb9bd3f
[ "MIT" ]
null
null
null
report.py
w84death/temp-hum-reporter
b971011198e6208cfe4a669f91ff516e1eb9bd3f
[ "MIT" ]
null
null
null
import microdotphat as dot import Adafruit_DHT import time sensor = Adafruit_DHT.DHT11 pin = 23 dot.clear() dot.set_rotate180(False) dot.write_string('Hello_', kerning=False) dot.show() time.sleep(3) dot.write_string(' P1X ', kerning=False) dot.show() time.sleep(1) while True: dot.write_string('>LOAD<', kerning=F...
19.384615
61
0.691799
123
756
4.154472
0.373984
0.109589
0.164384
0.223092
0.277887
0.277887
0.113503
0
0
0
0
0.037559
0.154762
756
38
62
19.894737
0.762128
0
0
0.25
0
0
0.055556
0
0
0
0
0
0
1
0
false
0
0.09375
0
0.09375
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
d48ec33e9e87690a552461b6a90d6145aa4f8134
13,198
py
Python
dcn/dataset/pascal_voc_eval.py
necla-ml/Deformable-ConvNets-py3
15f14079aacb6e5ef042c5e3a079db1569294529
[ "MIT" ]
1
2022-03-20T13:58:58.000Z
2022-03-20T13:58:58.000Z
dcn/dataset/pascal_voc_eval.py
necla-ml/Deformable-ConvNets-py3
15f14079aacb6e5ef042c5e3a079db1569294529
[ "MIT" ]
null
null
null
dcn/dataset/pascal_voc_eval.py
necla-ml/Deformable-ConvNets-py3
15f14079aacb6e5ef042c5e3a079db1569294529
[ "MIT" ]
1
2022-03-20T13:59:25.000Z
2022-03-20T13:59:25.000Z
# -------------------------------------------------------- # Deformable Convolutional Networks # Copyright (c) 2017 Microsoft # Licensed under The Apache-2.0 License [see LICENSE for details] # Modified by Haozhi Qi, from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn) # ----------------------------------...
36.258242
124
0.583725
1,833
13,198
4.020185
0.18767
0.024427
0.007328
0.008685
0.150767
0.106663
0.073823
0.056181
0.046411
0.046411
0
0.018882
0.289741
13,198
363
125
36.358127
0.767229
0.093272
0
0.096774
0
0
0.041796
0
0
0
0
0
0.004032
0
null
null
0
0.028226
null
null
0.016129
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
d48fd940c8c24f307df47785e921d21df062cfa7
4,969
py
Python
spresso/controller/grant/authentication/core.py
lujung/python-spresso
32e0229abe9e18bbbe487184645d66ed1ed95a05
[ "MIT" ]
null
null
null
spresso/controller/grant/authentication/core.py
lujung/python-spresso
32e0229abe9e18bbbe487184645d66ed1ed95a05
[ "MIT" ]
1
2017-03-01T20:10:56.000Z
2017-03-01T20:10:56.000Z
spresso/controller/grant/authentication/core.py
lujung/python-spresso
32e0229abe9e18bbbe487184645d66ed1ed95a05
[ "MIT" ]
null
null
null
import spresso.controller.grant.authentication.forward import spresso.controller.grant.authentication.identity_provider import spresso.controller.grant.authentication.relying_party from spresso.controller.grant.authentication.config.forward import \ Forward from spresso.controller.grant.authentication.config.identi...
43.973451
78
0.659489
482
4,969
6.585062
0.122407
0.10397
0.110901
0.170132
0.760555
0.694077
0.534342
0.50063
0.316635
0.248582
0
0
0.258201
4,969
112
79
44.366071
0.861096
0
0
0.347368
0
0
0.020527
0
0
0
0
0
0
1
0.052632
false
0
0.073684
0
0.315789
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
d4908c8a96c609b3ec033130bbcd0271a30b7389
416
py
Python
tests/test_templatetags.py
siht/wagtail-resume
4992c301fbb8ceb8a71c34655ee24c457d3404df
[ "MIT" ]
44
2019-12-27T16:49:19.000Z
2022-03-23T08:09:57.000Z
tests/test_templatetags.py
siht/wagtail-resume
4992c301fbb8ceb8a71c34655ee24c457d3404df
[ "MIT" ]
44
2020-01-20T21:51:39.000Z
2022-02-11T21:58:53.000Z
tests/test_templatetags.py
siht/wagtail-resume
4992c301fbb8ceb8a71c34655ee24c457d3404df
[ "MIT" ]
12
2020-02-03T06:39:07.000Z
2021-07-02T08:57:18.000Z
from wagtail_resume.templatetags.wagtail_resume_extras import space_to_plus def test_space_to_plus(): font = space_to_plus("Open Sans") font_url = ( f"https://fonts.googleapis.com/css?family={font}|Roboto+Condensed&display=swap" ) assert ( font_url == "https://fonts.googleapis...
29.714286
125
0.699519
56
416
4.982143
0.571429
0.075269
0.11828
0.164875
0.229391
0.229391
0
0
0
0
0
0
0.173077
416
13
126
32
0.811047
0.069712
0
0
0
0.2
0.425974
0
0
0
0
0
0.1
1
0.1
false
0
0.1
0
0.2
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
d498f95da372086cbde8bb3ad1448a5d12ce9c1f
5,882
py
Python
db_engine.py
calcorum/paper-domo
16a661854983236b89865c427837168941ff581d
[ "MIT" ]
null
null
null
db_engine.py
calcorum/paper-domo
16a661854983236b89865c427837168941ff581d
[ "MIT" ]
null
null
null
db_engine.py
calcorum/paper-domo
16a661854983236b89865c427837168941ff581d
[ "MIT" ]
null
null
null
import random from peewee import * db = SqliteDatabase('pd_test.db') class Current(Model): season = IntegerField(default=1) week = IntegerField(default=1) packlimit = IntegerField(default=8) class Meta: database = db class Rarity(Model): value = IntegerField() name...
28.553398
116
0.621387
624
5,882
5.727564
0.216346
0.170118
0.042809
0.047846
0.175713
0.113039
0.062955
0.039731
0.023503
0
0
0.025888
0.277627
5,882
205
117
28.692683
0.815251
0
0
0.290909
0
0
0.04756
0
0
0
0
0
0
1
0.072727
false
0
0.012121
0.042424
0.806061
0.006061
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
d49ce357c507623309c86a579690d80a920a909b
2,334
py
Python
application/api/admin.py
MickeyPa/soen344
a9632dc36d23a4eba5bb9c943c9ae75ecc4811bd
[ "MIT" ]
null
null
null
application/api/admin.py
MickeyPa/soen344
a9632dc36d23a4eba5bb9c943c9ae75ecc4811bd
[ "MIT" ]
null
null
null
application/api/admin.py
MickeyPa/soen344
a9632dc36d23a4eba5bb9c943c9ae75ecc4811bd
[ "MIT" ]
2
2019-06-04T20:09:14.000Z
2019-06-04T20:15:32.000Z
''' This file documents the api routes for admin-related events. ''' from flask import Flask, Blueprint, redirect, render_template, url_for, session, request, logging from index import app from application.services import AdminService from application.util import * from passlib.hash import sha256_crypt from applicati...
30.311688
97
0.716367
301
2,334
5.531561
0.385382
0.021622
0.038438
0.043243
0.096697
0.078078
0.078078
0.078078
0.078078
0.078078
0
0.002024
0.153385
2,334
76
98
30.710526
0.840587
0.256213
0
0.217391
0
0
0.184364
0.014002
0
0
0
0
0
1
0.065217
false
0.065217
0.152174
0.021739
0.282609
0.065217
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
d4a932ffb641151df00b59bbe961483530d6a1e6
982
py
Python
icontract/__init__.py
dhollman/icontract
d26913369fd41fc4d439cd2226806e46e4fd27a5
[ "MIT" ]
null
null
null
icontract/__init__.py
dhollman/icontract
d26913369fd41fc4d439cd2226806e46e4fd27a5
[ "MIT" ]
null
null
null
icontract/__init__.py
dhollman/icontract
d26913369fd41fc4d439cd2226806e46e4fd27a5
[ "MIT" ]
null
null
null
"""Decorate functions with contracts.""" # pylint: disable=invalid-name # pylint: disable=protected-access # pylint: disable=wrong-import-position # We need to explicitly assign the aliases instead of using # ``from ... import ... as ...`` statements since mypy complains # that the module icontract lacks these import...
29.757576
87
0.806517
115
982
6.747826
0.53913
0.096649
0.06701
0
0
0
0
0
0
0
0
0.00905
0.099796
982
32
88
30.6875
0.868778
0.406314
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0.3125
0
0.3125
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
d4ab7af055f5fca380c83b7c8ed44c3f6a725ba3
2,851
py
Python
networkapi/grupo/resource/GroupUserGetByIdResource.py
brunodevel/GloboNetworkAPI
ea8eebc0337636f9250e628cc392514934db8edd
[ "Apache-2.0" ]
null
null
null
networkapi/grupo/resource/GroupUserGetByIdResource.py
brunodevel/GloboNetworkAPI
ea8eebc0337636f9250e628cc392514934db8edd
[ "Apache-2.0" ]
null
null
null
networkapi/grupo/resource/GroupUserGetByIdResource.py
brunodevel/GloboNetworkAPI
ea8eebc0337636f9250e628cc392514934db8edd
[ "Apache-2.0" ]
null
null
null
# -*- coding:utf-8 -*- # 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 "Lic...
37.513158
103
0.699754
361
2,851
5.407202
0.432133
0.040984
0.036885
0.029201
0.063525
0.026639
0
0
0
0
0
0.005489
0.233251
2,851
75
104
38.013333
0.887466
0.298843
0
0.057143
0
0
0.093122
0.012698
0
0
0
0
0
0
null
null
0
0.257143
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
d4ad9d51b03b2c5c7d2c2b01f01e3591b85bd406
5,079
py
Python
tests/conftest.py
rayrrr/vyper
444666a0a7f89ef97cd6793c7bb23a42bb42f306
[ "Apache-2.0" ]
1
2018-08-30T22:38:20.000Z
2018-08-30T22:38:20.000Z
tests/conftest.py
erdnaag/vyper
22bef3a4b4161db18c7831041e20b917984cff83
[ "Apache-2.0" ]
null
null
null
tests/conftest.py
erdnaag/vyper
22bef3a4b4161db18c7831041e20b917984cff83
[ "Apache-2.0" ]
1
2018-10-25T12:38:57.000Z
2018-10-25T12:38:57.000Z
import logging from functools import wraps import pytest from eth_tester import EthereumTester from web3 import Web3 from web3.providers.eth_tester import EthereumTesterProvider from vyper import compile_lll, compiler, optimizer from vyper.parser.parser import parse_to_lll from vyper.parser.parser_utils import LLLnod...
30.232143
98
0.706241
651
5,079
5.235023
0.253456
0.045188
0.032864
0.035211
0.269073
0.211268
0.170188
0.119425
0.077465
0.077465
0
0.008118
0.199646
5,079
167
99
30.413174
0.830258
0.075802
0
0.101852
0
0
0.05084
0
0
0
0
0
0.027778
1
0.203704
false
0
0.092593
0.037037
0.490741
0.009259
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
d4b187a0a4f8315fcbeb7a093589a49326a2c882
554
py
Python
src/runall-wines.py
mknapper1/Pycon2018RepoducibleTutorial
914f2d3f9f553f519aea906f95abdd7110c874aa
[ "BSD-3-Clause" ]
null
null
null
src/runall-wines.py
mknapper1/Pycon2018RepoducibleTutorial
914f2d3f9f553f519aea906f95abdd7110c874aa
[ "BSD-3-Clause" ]
null
null
null
src/runall-wines.py
mknapper1/Pycon2018RepoducibleTutorial
914f2d3f9f553f519aea906f95abdd7110c874aa
[ "BSD-3-Clause" ]
null
null
null
import importlib # import modules subset = importlib.import_module('.data.01_subset-data-GBP', 'src') plotwines = importlib.import_module('.visualization.02_visualize-wines', 'src') country_sub = importlib.import_module('.data.03_country-subset', 'src') raw_data = 'data/raw/winemag-data-130k-v2.csv' country = 'Chile...
30.777778
79
0.761733
75
554
5.253333
0.426667
0.152284
0.159898
0.126904
0
0
0
0
0
0
0
0.020284
0.110108
554
17
80
32.588235
0.778905
0.025271
0
0
0
0
0.250929
0.210037
0
0
0
0
0
1
0
false
0
0.333333
0
0.333333
0.166667
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
d4bd8ae1f35dda7197167376424059459541b779
6,326
py
Python
parameters_research/neuralNetworkMaster/mlp.py
neuronit/pfa
6483f23de3ac43ae1121760ab44a2cae1f2cc901
[ "MIT" ]
null
null
null
parameters_research/neuralNetworkMaster/mlp.py
neuronit/pfa
6483f23de3ac43ae1121760ab44a2cae1f2cc901
[ "MIT" ]
null
null
null
parameters_research/neuralNetworkMaster/mlp.py
neuronit/pfa
6483f23de3ac43ae1121760ab44a2cae1f2cc901
[ "MIT" ]
null
null
null
#!/usr/bin/env python # ----------------------------------------------------------------------------- # Multi-layer perceptron # Copyright (C) 2011 Nicolas P. Rougier # # Distributed under the terms of the BSD License. # ----------------------------------------------------------------------------- # This is an ...
33.294737
86
0.478027
739
6,326
4.05548
0.221922
0.05005
0.022022
0.040374
0.299299
0.190858
0.184852
0.164164
0.142809
0.100767
0
0.032747
0.280746
6,326
189
87
33.470899
0.625934
0.236484
0
0.188119
0
0
0.047653
0
0
0
0
0
0
0
null
null
0
0.039604
null
null
0.069307
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
d4bde7457fb071e5bdd7d79ce80c6384984f050d
875
py
Python
ylesanded/teema_8/yl02.py
h4n1virus/Python-3-esimesed-sammud
575a7170703180b6f556f85861bc4c4e0dec4932
[ "WTFPL" ]
null
null
null
ylesanded/teema_8/yl02.py
h4n1virus/Python-3-esimesed-sammud
575a7170703180b6f556f85861bc4c4e0dec4932
[ "WTFPL" ]
null
null
null
ylesanded/teema_8/yl02.py
h4n1virus/Python-3-esimesed-sammud
575a7170703180b6f556f85861bc4c4e0dec4932
[ "WTFPL" ]
null
null
null
# Sander Viirmaa # 19.12.2018 # Ülesanne 08 - 02 class auto: mark = ' ' aasta = 0 hind = 0 värv = ' ' kiirus = 0 def __init__(self, x, y, z, q, w): self.mark = x self.aasta = y self.hind = z self.kiirus = q self.varv = w def lisa...
20.348837
80
0.505143
114
875
3.842105
0.482456
0.057078
0.082192
0
0
0
0
0
0
0
0
0.075704
0.350857
875
42
81
20.833333
0.695423
0.048
0
0.071429
0
0.035714
0.128335
0
0
0
0
0
0
1
0.214286
false
0
0
0
0.428571
0.035714
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
d4d1c0d92a1329f6cf05e4e08d770be694d8407f
2,882
py
Python
tools/test.py
nanit/deep-high-resolution-net.pytorch
17226df8effda518c47355e85f4733638c20297a
[ "MIT" ]
null
null
null
tools/test.py
nanit/deep-high-resolution-net.pytorch
17226df8effda518c47355e85f4733638c20297a
[ "MIT" ]
2
2021-09-23T12:59:27.000Z
2021-11-01T12:21:51.000Z
tools/test.py
nanit/deep-high-resolution-net.pytorch
17226df8effda518c47355e85f4733638c20297a
[ "MIT" ]
null
null
null
# ------------------------------------------------------------------------------ # pose.pytorch # Copyright (c) 2018-present Microsoft # Licensed under The Apache-2.0 License [see LICENSE for details] # Written by Bin Xiao (Bin.Xiao@microsoft.com) # ----------------------------------------------------------------------...
29.111111
80
0.664122
365
2,882
5.041096
0.380822
0.03587
0.026087
0.026087
0.092391
0.092391
0.033696
0
0
0
0
0.012826
0.188411
2,882
98
81
29.408163
0.773835
0.149202
0
0
0
0
0.042605
0
0
0
0
0
0
1
0.014493
false
0
0.318841
0
0.333333
0.043478
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
d4d4f22fe6c3fda277e7cb20e225fc7cc689db23
395
py
Python
locations/migrations/0002_auto_20200601_2156.py
PatelKeviin/Locations-API-using-Django-REST-Framework
80c527722d875b859b5cb127967a58381594e058
[ "MIT" ]
null
null
null
locations/migrations/0002_auto_20200601_2156.py
PatelKeviin/Locations-API-using-Django-REST-Framework
80c527722d875b859b5cb127967a58381594e058
[ "MIT" ]
null
null
null
locations/migrations/0002_auto_20200601_2156.py
PatelKeviin/Locations-API-using-Django-REST-Framework
80c527722d875b859b5cb127967a58381594e058
[ "MIT" ]
null
null
null
# Generated by Django 3.0.6 on 2020-06-01 11:56 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('locations', '0001_initial'), ] operations = [ migrations.AlterField( model_name='location', name='id', f...
20.789474
70
0.6
42
395
5.571429
0.857143
0
0
0
0
0
0
0
0
0
0
0.067138
0.283544
395
18
71
21.944444
0.759717
0.113924
0
0
1
0
0.08908
0
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
d4d63eabbb3343ed7f606203150d6a948a2910cf
1,266
py
Python
class10/exercises/exercise3.py
twin-bridges/netmiko_course
31943e4f6f66dbfe523d62d5a2f03285802a8c56
[ "Apache-2.0" ]
11
2020-09-16T06:53:16.000Z
2021-08-24T21:27:37.000Z
class10/exercises/exercise3.py
twin-bridges/netmiko_course
31943e4f6f66dbfe523d62d5a2f03285802a8c56
[ "Apache-2.0" ]
null
null
null
class10/exercises/exercise3.py
twin-bridges/netmiko_course
31943e4f6f66dbfe523d62d5a2f03285802a8c56
[ "Apache-2.0" ]
5
2020-10-18T20:25:59.000Z
2021-10-20T16:27:00.000Z
import os import time from getpass import getpass from netmiko import ConnectHandler def read_device(net_connect, sleep=1): """Sleep and read channel.""" time.sleep(sleep) output = net_connect.read_channel() print(output) return output if __name__ == "__main__": # Code so automated tests wi...
25.32
85
0.627172
155
1,266
4.870968
0.393548
0.15894
0.086093
0.13245
0.275497
0.275497
0.161589
0.090066
0
0
0
0.015924
0.255924
1,266
49
86
25.836735
0.785563
0.052133
0
0.171429
0
0
0.148241
0
0
0
0
0
0
1
0.028571
false
0.142857
0.114286
0
0.171429
0.114286
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
d4dd1c209b04ca19eba2c07bd2174f15766a736d
490
py
Python
scrapy/apsnypress/scripts/create_hunalign_batch_apsnypress.py
Plkmoi/Multilingual-Parallel-Corpus
b42360e45459d4c9f3236bb19e372c4a4c2e2557
[ "CC0-1.0" ]
11
2020-08-07T19:08:13.000Z
2022-02-18T08:49:19.000Z
scrapy/apsnypress/scripts/create_hunalign_batch_apsnypress.py
Plkmoi/Multilingual-Parallel-Corpus
b42360e45459d4c9f3236bb19e372c4a4c2e2557
[ "CC0-1.0" ]
90
2020-07-09T09:07:20.000Z
2022-03-23T09:18:09.000Z
scrapy/apsnypress/scripts/create_hunalign_batch_apsnypress.py
Plkmoi/Multilingual-Parallel-Corpus
b42360e45459d4c9f3236bb19e372c4a4c2e2557
[ "CC0-1.0" ]
3
2020-08-07T19:04:55.000Z
2021-06-13T07:02:32.000Z
from os import listdir from os import path import io import json save_apsnypress = io.open('../hunalign_batch_apsnypress.txt','w+', encoding="utf-8") with open('../data_out.json', 'r') as f: data_j = json.load(f) for item in data_j: if len(item["possible match"]) != 0: for possible_item in item["possib...
37.692308
157
0.638776
75
490
4.026667
0.533333
0.119205
0.07947
0
0
0
0
0
0
0
0
0.004739
0.138776
490
12
158
40.833333
0.7109
0
0
0
0
0
0.267347
0.065306
0
0
0
0
0
1
0
false
0
0.363636
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
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
1