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
2346b7d4b689aedf70be90e22366c7d461f0ff5d
1,479
py
Python
mupub/tests/test_utils.py
MutopiaProject/mupub
8c59ae15ea13af14139570fcccfef850e1363548
[ "MIT" ]
null
null
null
mupub/tests/test_utils.py
MutopiaProject/mupub
8c59ae15ea13af14139570fcccfef850e1363548
[ "MIT" ]
1
2017-02-22T17:33:23.000Z
2017-02-23T10:02:48.000Z
mupub/tests/test_utils.py
MutopiaProject/mupub
8c59ae15ea13af14139570fcccfef850e1363548
[ "MIT" ]
null
null
null
"""Util module tests """ import os.path from unittest import TestCase import mupub from clint.textui.validators import ValidationError from .tutils import PREFIX _SIMPLE_PATH = os.path.join(PREFIX, 'SorF', 'O77', 'sorf-o77-01',) _LYS_PATH = os.path.join(PREFIX, 'PaganiniN', 'O1', 'Caprice_1',) class UtilsTest(TestCa...
30.183673
67
0.593644
176
1,479
4.869318
0.4375
0.028005
0.023337
0.032672
0.105018
0.058343
0
0
0
0
0
0.008419
0.277214
1,479
48
68
30.8125
0.793265
0.058147
0
0.228571
0
0
0.077316
0
0
0
0
0
0.228571
1
0.085714
false
0
0.142857
0
0.257143
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
0
0
1
0
23479c6aeea396d6cdcce0a007d798ea7a728144
2,736
py
Python
routemaster/cli.py
thread/routemaster
1fd997a3bcee5e6760e9f7a60cb54323c3dfdc41
[ "MIT" ]
13
2018-01-16T14:26:27.000Z
2022-03-19T12:43:17.000Z
routemaster/cli.py
thread/routemaster
1fd997a3bcee5e6760e9f7a60cb54323c3dfdc41
[ "MIT" ]
86
2018-01-03T17:00:56.000Z
2021-12-06T12:58:06.000Z
routemaster/cli.py
thread/routemaster
1fd997a3bcee5e6760e9f7a60cb54323c3dfdc41
[ "MIT" ]
3
2018-02-21T23:13:45.000Z
2022-03-19T12:43:23.000Z
"""CLI handling for `routemaster`.""" import logging import yaml import click import layer_loader from routemaster.app import App from routemaster.cron import CronThread from routemaster.config import ConfigError, load_config from routemaster.server import server from routemaster.middleware import wrap_application fr...
23.186441
76
0.665205
327
2,736
5.446483
0.391437
0.058956
0.026951
0.032004
0.03032
0.03032
0
0
0
0
0
0.003775
0.225512
2,736
117
77
23.384615
0.836715
0.120614
0
0.157303
0
0
0.100972
0
0
0
0
0
0
1
0.05618
false
0.044944
0.123596
0
0.179775
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
0
0
1
0
2348e1dd77f2ba0e869197de55900d212aa3c556
965
py
Python
grid_sticky_example_3.py
crazcalm/learn_tkinter_canvas
b798a6f2217a478e9222bb6eaa2afec3d28a2758
[ "MIT" ]
null
null
null
grid_sticky_example_3.py
crazcalm/learn_tkinter_canvas
b798a6f2217a478e9222bb6eaa2afec3d28a2758
[ "MIT" ]
2
2020-02-14T02:14:26.000Z
2020-02-14T02:15:58.000Z
grid_sticky_example_3.py
crazcalm/learn_tkinter_canvas
b798a6f2217a478e9222bb6eaa2afec3d28a2758
[ "MIT" ]
1
2021-11-24T13:00:34.000Z
2021-11-24T13:00:34.000Z
""" When a widget is positioned with sticky, the size of the widget itself is just big enough to contain any text and other contents inside of it. It won’t fill the entire grid cell. In order to fill the grid, you can specify "ns" to force the widget to fill the cell in the vertical direction, or "ew" to fill the cell ...
30.15625
51
0.71399
172
965
4.005814
0.430233
0.050798
0.05225
0.081277
0.101597
0.101597
0.101597
0.101597
0
0
0
0.034982
0.140933
965
32
52
30.15625
0.79614
0.462176
0
0
0
0
0.101563
0
0
0
0
0
0
1
0
false
0
0.076923
0
0.076923
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
0
0
1
0
234e920fdc139ffec693a188e6071590ea84ef74
20,151
py
Python
praatio/pitch_and_intensity.py
timmahrt/praatIO
000d0477fffb033b63d54311fac5c913157a59a6
[ "MIT" ]
208
2016-04-20T12:42:05.000Z
2022-03-25T13:44:03.000Z
praatio/pitch_and_intensity.py
timmahrt/praatIO
000d0477fffb033b63d54311fac5c913157a59a6
[ "MIT" ]
37
2017-10-31T15:22:59.000Z
2022-01-02T02:55:46.000Z
praatio/pitch_and_intensity.py
timmahrt/praatIO
000d0477fffb033b63d54311fac5c913157a59a6
[ "MIT" ]
33
2016-05-09T07:34:22.000Z
2022-03-30T09:00:58.000Z
# coding: utf-8 """ Functions for working with pitch data This file depends on the praat script get_pitch_and_intensity.praat (which depends on praat) to extract pitch and intensity values from audio data. Once the data is extracted, there are functions for data normalization and calculating various measures from the...
31.193498
97
0.626966
2,151
20,151
5.83682
0.194793
0.01147
0.013381
0.011947
0.472003
0.430346
0.41362
0.396734
0.39315
0.387893
0
0.012397
0.29145
20,151
645
98
31.24186
0.866928
0.234182
0
0.516432
0
0
0.043626
0.003325
0
0
0
0
0
1
0.023474
false
0
0.028169
0
0.075117
0.004695
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
0
1
0
234efbd93d84cd1c579cc2b9b03be2e426d9604e
1,488
py
Python
keras_classifier.py
03pie/SMPCUP2017
956f97fce8620b3b0c35e6b3757347ede30c64ba
[ "MIT" ]
25
2017-11-08T08:56:45.000Z
2021-11-24T20:24:37.000Z
keras_classifier.py
03pie/SMPCUP2017
956f97fce8620b3b0c35e6b3757347ede30c64ba
[ "MIT" ]
null
null
null
keras_classifier.py
03pie/SMPCUP2017
956f97fce8620b3b0c35e6b3757347ede30c64ba
[ "MIT" ]
13
2017-12-11T05:47:52.000Z
2021-03-04T13:53:41.000Z
import pandas as pd from keras.models import Sequential from keras.layers import Dense, Dropout from keras.wrappers.scikit_learn import KerasClassifier from keras.utils import np_utils # return the best three results def top_n(matrix_prob, label_map): ans = [] for line in matrix_prob: rank = [label_map[item[0]] fo...
40.216216
126
0.755376
238
1,488
4.5
0.462185
0.051354
0.056022
0.078431
0.203548
0.124183
0.056022
0.056022
0
0
0
0.022405
0.100134
1,488
36
127
41.333333
0.777446
0.054435
0
0
0
0
0.158945
0.119031
0
0
0
0
0
1
0.068966
false
0
0.172414
0
0.310345
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
0
0
1
0
234f3d49dc75338604b163336e34c3247e009fb7
2,012
py
Python
greening/get_tiles_from_google_maps.py
uchr/Hackathon-Urbaton
83362fec9777054050c858eda87905c8b512372a
[ "MIT" ]
null
null
null
greening/get_tiles_from_google_maps.py
uchr/Hackathon-Urbaton
83362fec9777054050c858eda87905c8b512372a
[ "MIT" ]
null
null
null
greening/get_tiles_from_google_maps.py
uchr/Hackathon-Urbaton
83362fec9777054050c858eda87905c8b512372a
[ "MIT" ]
null
null
null
import numpy as np import cv2 import os import time import requests import shutil def get_route_tile(x, y, out_file): #http://mt1.google.com/vt/lyrs=y&x=5975&y=2598&z=13 url = 'http://mt1.google.com/vt/lyrs=y&x={}&y={}&z=13'.format(x, y) response = requests.get(url, stream=True) with open(out_file, 'wb') ...
30.029851
89
0.614811
331
2,012
3.507553
0.332326
0.055125
0.041344
0.048234
0.261843
0.172265
0.14298
0.14298
0.101637
0.101637
0
0.072869
0.236084
2,012
67
90
30.029851
0.682498
0.10835
0
0.040816
0
0.020408
0.050704
0
0
0
0
0
0
1
0.061224
false
0
0.122449
0
0.204082
0.081633
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
0
1
0
23549ec1228d9e42823643453e7b9895b370ca45
1,933
py
Python
reVX/utilities/cluster_methods.py
NREL/reVX
4d62eb2c003c3b53b959f7a58bdc342d18098884
[ "BSD-3-Clause" ]
7
2020-04-06T00:29:55.000Z
2022-01-23T20:00:14.000Z
reVX/utilities/cluster_methods.py
NREL/reVX
4d62eb2c003c3b53b959f7a58bdc342d18098884
[ "BSD-3-Clause" ]
67
2020-02-28T20:15:35.000Z
2022-03-31T21:34:52.000Z
reVX/utilities/cluster_methods.py
NREL/reVX
4d62eb2c003c3b53b959f7a58bdc342d18098884
[ "BSD-3-Clause" ]
null
null
null
# -*- coding: utf-8 -*- """ Clustering Methods """ import numpy as np from sklearn.cluster import KMeans from sklearn.preprocessing import normalize class ClusteringMethods: """ Base class of clustering methods """ @staticmethod def _normalize_values(arr, norm=None, axis=None): """ Normal...
27.225352
77
0.562338
224
1,933
4.745536
0.428571
0.030103
0.024459
0.031985
0.048918
0.048918
0
0
0
0
0
0.003172
0.347646
1,933
70
78
27.614286
0.83981
0.299534
0
0.0625
0
0
0
0
0
0
0
0
0
1
0.0625
false
0
0.09375
0
0.25
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
0
0
1
0
23585aa3fd91ad92d3f8755c7797b9e71281a6bc
918
py
Python
Unit3/Lesson7.py
szhua/PythonLearn
12eaf7cc74a0310bb23e21773f3c83deb91d0362
[ "Apache-2.0" ]
null
null
null
Unit3/Lesson7.py
szhua/PythonLearn
12eaf7cc74a0310bb23e21773f3c83deb91d0362
[ "Apache-2.0" ]
null
null
null
Unit3/Lesson7.py
szhua/PythonLearn
12eaf7cc74a0310bb23e21773f3c83deb91d0362
[ "Apache-2.0" ]
null
null
null
#Python的内建模块itertools提供了非常有用的用于操作迭代对象的函数。 import itertools #从10开始数自然数 naturals =itertools.count(10) from collections import Iterator #判断naturals的类型 print(isinstance(naturals,Iterator)) for x in naturals: if x>70: break print(x) #cycle()会把传入的一个序列无限重复下去: cycles =itertools.cycle("szhualeilei") pr...
14.123077
58
0.704793
118
918
5.483051
0.466102
0.02473
0.037094
0
0
0
0
0
0
0
0
0.032468
0.16122
918
64
59
14.34375
0.807792
0.224401
0
0.166667
0
0
0.081871
0
0
0
0
0
0
1
0
false
0
0.083333
0
0.083333
0.291667
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
0
1
0
23593360ab941b0e68d201d7be4b82afc1cc2f9c
8,536
py
Python
flaskr/databaseCURD.py
Ln-Yangzl/yukiyu-webpage
f9aaf71dca18067ecbe43faccb74a7f8d4cf56b7
[ "Apache-2.0" ]
null
null
null
flaskr/databaseCURD.py
Ln-Yangzl/yukiyu-webpage
f9aaf71dca18067ecbe43faccb74a7f8d4cf56b7
[ "Apache-2.0" ]
null
null
null
flaskr/databaseCURD.py
Ln-Yangzl/yukiyu-webpage
f9aaf71dca18067ecbe43faccb74a7f8d4cf56b7
[ "Apache-2.0" ]
2
2021-03-23T12:22:04.000Z
2021-05-24T13:56:26.000Z
# 该模块提供了一个数据库的通用CURD接口 # 通过该接口能够快速进行数据库的增删查改功能 # 该模块还提供了获取数据库所有表表名,各表表头的接口 import traceback import pymysql from userManage import commmitChangeToUserlist, privilegeOfUser, ifManage global db # TODO: improve the robustness def checkValibleTableName(targetTable, user): if user != None and targetTable == 'user_lis...
28.740741
115
0.600633
925
8,536
5.523243
0.214054
0.017616
0.021139
0.022314
0.386768
0.316305
0.27892
0.262478
0.213936
0.213936
0
0.013799
0.278351
8,536
297
116
28.740741
0.815584
0.102156
0
0.541322
0
0
0.153413
0.009695
0
0
0
0.003367
0
1
0.066116
false
0.016529
0.012397
0
0.165289
0.144628
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
0
1
0
236087aea9a609e4effde96065112e3417f806cd
3,864
py
Python
src/imreg_dft/show.py
GCBallesteros/imreg_dft
3eb7137403dd0689711ff1dae78200b0fbdcedfb
[ "BSD-3-Clause" ]
167
2015-02-28T19:14:52.000Z
2022-03-30T03:42:33.000Z
src/imreg_dft/show.py
GCBallesteros/imreg_dft
3eb7137403dd0689711ff1dae78200b0fbdcedfb
[ "BSD-3-Clause" ]
40
2015-01-18T23:58:41.000Z
2021-08-02T13:36:48.000Z
src/imreg_dft/show.py
GCBallesteros/imreg_dft
3eb7137403dd0689711ff1dae78200b0fbdcedfb
[ "BSD-3-Clause" ]
51
2015-02-27T21:19:55.000Z
2022-03-24T12:28:45.000Z
# -*- coding: utf-8 -*- # show.py # Copyright (c) 2016-?, Matěj Týč # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # * Redistributions of source code must retain the above copyright # notice...
35.449541
77
0.694358
503
3,864
5.256461
0.467197
0.023828
0.045008
0.017398
0.093041
0.074887
0.051437
0.051437
0.051437
0.051437
0
0.004864
0.201863
3,864
108
78
35.777778
0.852464
0.391822
0
0
0
0
0.233951
0
0
0
0
0
0
1
0.050847
false
0
0.067797
0
0.152542
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
0
0
1
0
236634d05aadb9d36762574305057814f7a3b99e
3,939
py
Python
tests/unit/transport/pecan/models/response/test_health.py
jqxin2006/poppy
10636e6255c7370172422afece4a5c3d95c1e937
[ "Apache-2.0" ]
null
null
null
tests/unit/transport/pecan/models/response/test_health.py
jqxin2006/poppy
10636e6255c7370172422afece4a5c3d95c1e937
[ "Apache-2.0" ]
null
null
null
tests/unit/transport/pecan/models/response/test_health.py
jqxin2006/poppy
10636e6255c7370172422afece4a5c3d95c1e937
[ "Apache-2.0" ]
null
null
null
# Copyright (c) 2014 Rackspace, 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 or agreed to in wr...
35.809091
75
0.68393
482
3,939
5.352697
0.242739
0.059302
0.044186
0.031008
0.502713
0.494961
0.24031
0.228682
0.228682
0.196899
0
0.002876
0.205636
3,939
109
76
36.137615
0.821668
0.140899
0
0.342857
0
0
0.11873
0.032057
0
0
0
0
0.171429
1
0.2
false
0
0.057143
0
0.314286
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
0
0
1
0
236931ea9461223fe34c99e295340ff93405cc67
229
py
Python
Src/Squar-root/squar-root.py
MadushikaPerera/Python
b7919b252c02b5e1017273a65dd022ac9d13f3e4
[ "MIT" ]
null
null
null
Src/Squar-root/squar-root.py
MadushikaPerera/Python
b7919b252c02b5e1017273a65dd022ac9d13f3e4
[ "MIT" ]
null
null
null
Src/Squar-root/squar-root.py
MadushikaPerera/Python
b7919b252c02b5e1017273a65dd022ac9d13f3e4
[ "MIT" ]
null
null
null
#1 number = int(input("Enter a number to find the square root : ")) #2 if number < 0 : print("Please enter a valid number.") else : #3 sq_root = number ** 0.5 #4 print("Square root of {} is {} ".format(number,sq_root))
20.818182
64
0.624454
39
229
3.615385
0.641026
0.085106
0
0
0
0
0
0
0
0
0
0.039106
0.218341
229
10
65
22.9
0.748603
0.017467
0
0
0
0
0.420814
0
0
0
0
0
0
1
0
false
0
0
0
0
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
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
2369a4c986708b3067b08b2725a7bdc63e4b378b
12,141
py
Python
Tools/resultsdbpy/resultsdbpy/model/mock_model_factory.py
jacadcaps/webkitty
9aebd2081349f9a7b5d168673c6f676a1450a66d
[ "BSD-2-Clause" ]
6
2021-07-05T16:09:39.000Z
2022-03-06T22:44:42.000Z
Tools/resultsdbpy/resultsdbpy/model/mock_model_factory.py
jacadcaps/webkitty
9aebd2081349f9a7b5d168673c6f676a1450a66d
[ "BSD-2-Clause" ]
7
2022-03-15T13:25:39.000Z
2022-03-15T13:25:44.000Z
Tools/resultsdbpy/resultsdbpy/model/mock_model_factory.py
jacadcaps/webkitty
9aebd2081349f9a7b5d168673c6f676a1450a66d
[ "BSD-2-Clause" ]
null
null
null
# Copyright (C) 2019 Apple Inc. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # 1. Redistributions of source code must retain the above copyright # notice, this list of conditions and the f...
61.318182
205
0.730335
980
12,141
8.883673
0.312245
0.041006
0.014473
0.012405
0.247645
0.215369
0.205261
0.188146
0.175052
0.165403
0
0.041006
0.210609
12,141
197
206
61.629442
0.867383
0.105757
0
0.298701
0
0
0.357545
0.325427
0
0
0
0
0
1
0.038961
false
0.006494
0.051948
0
0.123377
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
0
0
1
0
236f461f8b6d07d3beef17a23e616ee5fd033b61
3,488
py
Python
02_Flask_REST/04_MongoDB_REST/app/main.py
CrispenGari/python-flask
3e7896f401920b8dd045d807212ec24b8353a75a
[ "Apache-2.0" ]
2
2021-11-08T07:37:18.000Z
2021-11-13T09:23:46.000Z
02_Flask_REST/04_MongoDB_REST/app/main.py
CrispenGari/Flask
3e7896f401920b8dd045d807212ec24b8353a75a
[ "Apache-2.0" ]
null
null
null
02_Flask_REST/04_MongoDB_REST/app/main.py
CrispenGari/Flask
3e7896f401920b8dd045d807212ec24b8353a75a
[ "Apache-2.0" ]
null
null
null
from keys.keys import pwd import pymongo from flask import Flask, request, abort from flask_restful import Resource, Api, reqparse, marshal_with, fields """ DATABASE CONFIGURATION """ databaseName = "students" connection_url = f'mongodb+srv://crispen:{pwd}@cluster0.3zay8.mongodb.net/{databaseName}?retryWrites=true&w=...
33.219048
117
0.641628
424
3,488
5.099057
0.245283
0.120259
0.06938
0.058279
0.457909
0.419056
0.36309
0.342738
0.265957
0.236355
0
0.009934
0.220757
3,488
105
118
33.219048
0.785504
0
0
0.24
0
0.013333
0.226253
0.029819
0
0
0
0
0
1
0.053333
false
0
0.053333
0
0.186667
0.013333
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
0
1
0
236fe878b484e34a105ad050281a3bd06899f1d7
4,703
py
Python
data/validate_possession.py
lpraat/scep2019
f120ee20397648e708cce41a7949c70b523b6e56
[ "MIT" ]
1
2021-11-02T20:34:22.000Z
2021-11-02T20:34:22.000Z
data/validate_possession.py
lpraat/scep2019
f120ee20397648e708cce41a7949c70b523b6e56
[ "MIT" ]
null
null
null
data/validate_possession.py
lpraat/scep2019
f120ee20397648e708cce41a7949c70b523b6e56
[ "MIT" ]
1
2021-11-02T20:34:29.000Z
2021-11-02T20:34:29.000Z
import csv import math import datetime def build_target_possession(player_file, till): possessions = [] to_skip = 1 # first line with open(player_file) as csv_file: reader = csv.reader(csv_file, delimiter=';') for row in reader: if to_skip: to_skip -= 1 ...
26.874286
119
0.584095
506
4,703
5.278656
0.256917
0.011981
0.032946
0.019468
0.718832
0.694122
0.632722
0.593036
0.556346
0.519656
0
0.056089
0.313842
4,703
174
120
27.028736
0.771615
0.056772
0
0.691057
0
0
0.152179
0.024159
0
0
0
0
0
1
0.04065
false
0
0.02439
0
0.105691
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
0
0
1
0
2370cb70aa4ccbe33c76c9f8fc510ffbcf707f15
6,065
py
Python
directory_components/context_processors.py
uktrade/directory-components
f5f52ceeecd2975bff07d1bd3afa7a84046fdd50
[ "MIT" ]
2
2019-06-24T20:22:23.000Z
2019-07-26T12:51:31.000Z
directory_components/context_processors.py
uktrade/directory-components
f5f52ceeecd2975bff07d1bd3afa7a84046fdd50
[ "MIT" ]
278
2018-02-21T11:49:46.000Z
2021-09-16T08:27:54.000Z
directory_components/context_processors.py
uktrade/directory-components
f5f52ceeecd2975bff07d1bd3afa7a84046fdd50
[ "MIT" ]
3
2019-05-02T15:26:26.000Z
2020-02-18T17:47:57.000Z
from directory_constants import urls from django.conf import settings from django.utils import translation from directory_components import helpers def ga360(request): user = helpers.get_user(request) is_logged_in = helpers.get_is_authenticated(request) context = {'ga360': {'site_language': translation...
41.541096
120
0.711459
713
6,065
5.628331
0.207574
0.098679
0.040369
0.012709
0.227012
0.142786
0.085971
0.061301
0.022427
0
0
0.004876
0.188458
6,065
145
121
41.827586
0.810443
0
0
0.081301
0
0
0.224732
0.10404
0
0
0
0
0
1
0.065041
false
0
0.03252
0.03252
0.162602
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
0
0
1
0
237138c111b7235bbb0b60fb326edee46f57fa80
1,962
py
Python
src/leetcodepython/string/remove_duplicate_letters_316.py
zhangyu345293721/leetcode
1aa5bcb984fd250b54dcfe6da4be3c1c67d14162
[ "MIT" ]
90
2018-12-25T06:01:30.000Z
2022-01-03T14:01:26.000Z
src/leetcodepython/string/remove_duplicate_letters_316.py
zhangyu345293721/leetcode
1aa5bcb984fd250b54dcfe6da4be3c1c67d14162
[ "MIT" ]
1
2020-08-27T09:53:49.000Z
2020-08-28T08:57:49.000Z
src/leetcodepython/string/remove_duplicate_letters_316.py
zhangyu345293721/leetcode
1aa5bcb984fd250b54dcfe6da4be3c1c67d14162
[ "MIT" ]
27
2019-01-02T01:41:32.000Z
2022-01-03T14:01:30.000Z
# encoding='utf-8' ''' /** * This is the solution of No.316 problem in the LeetCode, * the website of the problem is as follow: * https://leetcode-cn.com/problems/smallest-subsequence-of-distinct-characters * <p> * The description of problem is as follow: * =======================================================...
25.480519
109
0.469929
217
1,962
4.092166
0.40553
0.047297
0.056306
0.038288
0.146396
0.146396
0.146396
0.146396
0.146396
0.146396
0
0.011826
0.310398
1,962
76
110
25.815789
0.644494
0.463303
0
0.071429
0
0
0.021482
0
0
0
0
0
0.035714
1
0.071429
false
0
0
0
0.178571
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
0
0
1
0
23723b37428721d547ab23434d036479e7a2836c
1,055
py
Python
setup.py
julienvaslet/interactive-shell
9ae800f2d9bb3365b5e68b2beef577fb39264f10
[ "MIT" ]
null
null
null
setup.py
julienvaslet/interactive-shell
9ae800f2d9bb3365b5e68b2beef577fb39264f10
[ "MIT" ]
null
null
null
setup.py
julienvaslet/interactive-shell
9ae800f2d9bb3365b5e68b2beef577fb39264f10
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- import os from setuptools import setup current_directory = os.path.abspath(os.path.dirname(__file__)) with open(os.path.join(current_directory, "VERSION"), "r", encoding="utf-8") as f: version = f.read() with open(os.path.join(current_directory, "README.rst"), "r", encoding="utf-8") as f:...
31.029412
91
0.660664
122
1,055
5.606557
0.581967
0.035088
0.02924
0.040936
0.146199
0.146199
0.099415
0
0
0
0
0.007026
0.190521
1,055
33
92
31.969697
0.793911
0.019905
0
0
0
0
0.396318
0.022287
0
0
0
0
0
1
0
false
0
0.071429
0
0.071429
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
0
0
1
0
2381759676c1a13a9190cbf2cbe7006518dd9448
1,093
py
Python
behaviour/models.py
red-and-black/friendly
f453344ad1e9173ad3545e4ea0c825b65190b3c5
[ "Apache-2.0" ]
2
2020-01-28T12:56:56.000Z
2021-07-02T03:07:39.000Z
behaviour/models.py
red-and-black/friendly
f453344ad1e9173ad3545e4ea0c825b65190b3c5
[ "Apache-2.0" ]
5
2021-03-18T23:02:11.000Z
2021-09-17T11:02:08.000Z
behaviour/models.py
red-and-black/goodchat
1a391a04d4edfbcefaf87663f08308dd58578634
[ "Apache-2.0" ]
null
null
null
from django.db import models class BehaviourReport(models.Model): NOT_REVIEWED = 'not_reviewed' UNDER_REVIEW = 'under_review' COMPLETED = 'completed' STATUS_CHOICES = ( (NOT_REVIEWED, 'Not reviewed'), (UNDER_REVIEW, 'Under review'), (COMPLETED, 'Completed') ) # Automa...
25.418605
66
0.651418
114
1,093
6.052632
0.447368
0.07971
0.078261
0.104348
0.466667
0.466667
0.466667
0.466667
0.342029
0.342029
0
0.014563
0.246112
1,093
42
67
26.02381
0.822816
0.049405
0
0.125
0
0
0.105314
0
0
0
0
0
0
1
0
false
0
0.03125
0
0.46875
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
0
0
1
0
88bb3f59329f873d5176f1525a62f453fd0b978d
2,879
py
Python
dockermap/map/runner/cmd.py
merll/docker-map
54e325595fc0b6b9d154dacc790a222f957895da
[ "MIT" ]
85
2015-01-02T01:05:14.000Z
2022-03-23T22:23:12.000Z
dockermap/map/runner/cmd.py
merll/docker-map
54e325595fc0b6b9d154dacc790a222f957895da
[ "MIT" ]
21
2015-02-10T18:25:03.000Z
2020-10-28T08:38:39.000Z
dockermap/map/runner/cmd.py
merll/docker-map
54e325595fc0b6b9d154dacc790a222f957895da
[ "MIT" ]
15
2015-02-27T12:19:35.000Z
2021-09-29T06:20:14.000Z
# -*- coding: utf-8 -*- from __future__ import unicode_literals import logging from ..action import ContainerUtilAction from ..input import ItemType log = logging.getLogger(__name__) class ExecMixin(object): """ Utility mixin for executing configured commands inside containers. """ action_method_na...
40.549296
115
0.64571
364
2,879
4.92033
0.288462
0.027917
0.030709
0.044668
0.346734
0.307091
0.307091
0.307091
0.307091
0.307091
0
0.000477
0.271969
2,879
70
116
41.128571
0.854008
0.359847
0
0.057143
0
0
0.128252
0.013914
0
0
0
0
0
1
0.057143
false
0
0.114286
0
0.342857
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
0
0
1
0
88bc403d25f54bbc912895c21b6786cdfc90a30c
3,678
py
Python
main.py
PWN0N/Working-Time-lapse
1ebe4cb1a669a1b77528b4f2583e27fdd4e5953b
[ "MIT" ]
null
null
null
main.py
PWN0N/Working-Time-lapse
1ebe4cb1a669a1b77528b4f2583e27fdd4e5953b
[ "MIT" ]
null
null
null
main.py
PWN0N/Working-Time-lapse
1ebe4cb1a669a1b77528b4f2583e27fdd4e5953b
[ "MIT" ]
null
null
null
import signal import numpy as np from PIL import ImageGrab import cv2 import time import sys import os flips_time_mins = 30 interval = 5 # seconds num_frames = flips_time_mins*60/interval num_frames = int(num_frames) year = -1 month = -1 day = -1 out_fps = 24 cammode = 0 shutdown_msg = False def signal_handler(sign...
27.244444
83
0.637575
504
3,678
4.535714
0.337302
0.047244
0.022747
0.022747
0.207349
0.207349
0.2021
0.08224
0.056868
0.056868
0
0.039387
0.219957
3,678
134
84
27.447761
0.757407
0.115552
0
0.163265
0
0
0.074383
0
0
0
0
0
0
1
0.020408
false
0
0.071429
0
0.102041
0.071429
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
0
1
0
88bd61d6346e9f097545fab6de60f3909f62dcdf
1,823
py
Python
tests/test_tokenizers.py
BMarcin/MordinezNLP
884f6c2ccade8ac796d40d3081560021e96765ca
[ "MIT" ]
1
2021-02-03T19:38:05.000Z
2021-02-03T19:38:05.000Z
tests/test_tokenizers.py
BMarcin/MordinezNLP
884f6c2ccade8ac796d40d3081560021e96765ca
[ "MIT" ]
13
2020-11-30T21:01:56.000Z
2021-03-12T21:23:45.000Z
tests/test_tokenizers.py
BMarcin/MordinezNLP
884f6c2ccade8ac796d40d3081560021e96765ca
[ "MIT" ]
null
null
null
import unittest import spacy from spacy.language import Language try: from src.MordinezNLP.tokenizers import spacy_tokenizer except: from MordinezNLP.tokenizers import spacy_tokenizer class TestTokenizers(unittest.TestCase): nlp: Language = spacy.load("en_core_web_sm") nlp.tokenizer = spacy_tokenizer...
26.808824
126
0.397696
143
1,823
4.902098
0.440559
0.099857
0.077033
0.091298
0.616262
0.379458
0.379458
0.28816
0.28816
0.156919
0
0.002174
0.495337
1,823
67
127
27.208955
0.759783
0
0
0.166667
0
0.016667
0.170049
0
0
0
0
0
0.033333
1
0.033333
false
0
0.083333
0
0.15
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
0
0
1
0
88bdb402bf1da07ef8a27f4a47f88d7c557aae53
3,905
py
Python
scripts/autopost/image_maker.py
sahawaee/quotes-indonesia
ef6f0dc5afa460d8da6266f5df89d2a350cc9835
[ "MIT" ]
6
2019-11-02T06:04:37.000Z
2022-03-27T14:41:45.000Z
scripts/autopost/image_maker.py
sahawaee/quotes-indonesia
ef6f0dc5afa460d8da6266f5df89d2a350cc9835
[ "MIT" ]
1
2021-09-29T08:33:14.000Z
2021-11-06T02:10:38.000Z
scripts/autopost/image_maker.py
sahawaee/quotes-indonesia
ef6f0dc5afa460d8da6266f5df89d2a350cc9835
[ "MIT" ]
8
2020-03-21T20:09:38.000Z
2022-03-11T19:14:24.000Z
import random import requests import tempfile from io import BytesIO from PIL import Image, ImageDraw, ImageFont FONTS = [ 'https://cdn.statically.io/gh/google/fonts/main/ofl/neucha/Neucha.ttf', # 'https://cdn.statically.io/gh/google/fonts/main/ofl/catamaran/Catamaran%5Bwght%5D.ttf', # font_base_url + 'lob...
33.956522
93
0.560051
534
3,905
3.938202
0.346442
0.036614
0.057537
0.073229
0.138374
0.08369
0.038041
0.038041
0.038041
0
0
0.095238
0.26863
3,905
114
94
34.254386
0.641106
0.410755
0
0.135593
0
0.016949
0.04646
0
0
0
0
0
0
1
0.033898
false
0
0.084746
0
0.152542
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
0
0
1
0
88beff2251e1c3db657b53d33c4f8b3982f9a861
5,093
py
Python
metashade/hlsl/sm5/profile.py
ppenenko/metashade
7148e808e47bace59e61e1483da9ddf3f9daa1cc
[ "Apache-2.0" ]
3
2020-04-02T13:29:06.000Z
2020-09-07T17:43:09.000Z
metashade/hlsl/sm5/profile.py
ppenenko/metashade
7148e808e47bace59e61e1483da9ddf3f9daa1cc
[ "Apache-2.0" ]
null
null
null
metashade/hlsl/sm5/profile.py
ppenenko/metashade
7148e808e47bace59e61e1483da9ddf3f9daa1cc
[ "Apache-2.0" ]
null
null
null
# Copyright 2017 Pavlo Penenko # # 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...
34.181208
79
0.634204
582
5,093
5.24055
0.293814
0.028852
0.016393
0.032459
0.118033
0.090492
0.051148
0.051148
0.030164
0
0
0.003009
0.282152
5,093
148
80
34.412162
0.831236
0.128608
0
0.082569
0
0
0.080751
0.006107
0
0
0
0.006757
0
1
0.110092
false
0
0.045872
0.027523
0.238532
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
0
0
1
0
88c000e9e02c415df05d77f3582eae21f519869a
8,256
py
Python
backend/views.py
johnzhang1999/Pop
284cc1c5195efdc676759d8494965b2dfb44cf78
[ "MIT" ]
1
2019-02-10T06:50:25.000Z
2019-02-10T06:50:25.000Z
backend/views.py
johnzhang1999/Pop
284cc1c5195efdc676759d8494965b2dfb44cf78
[ "MIT" ]
null
null
null
backend/views.py
johnzhang1999/Pop
284cc1c5195efdc676759d8494965b2dfb44cf78
[ "MIT" ]
null
null
null
from django.http import JsonResponse, Http404 from django.views.decorators.csrf import csrf_exempt from exponent_server_sdk import PushClient, PushMessage, DeviceNotRegisteredError from .models import Group, User, Event import hashlib, uuid def getParams(request, tags): print(request.POST) return [request.POST...
38.222222
128
0.56468
969
8,256
4.773994
0.177503
0.049719
0.050584
0.029399
0.428448
0.358193
0.320363
0.270212
0.226762
0.172503
0
0.008311
0.285853
8,256
216
129
38.222222
0.776289
0.02798
0
0.426316
0
0
0.085051
0
0
0
0
0
0
1
0.105263
false
0
0.026316
0.005263
0.236842
0.015789
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
0
1
0
88c03f34e857962f5d9b4b18e80b0b7a54e0e36b
3,572
py
Python
SDFConv/code/utils/vis/unet_vis.py
zshyang/FieldConvolution
ca88df568a6f2143dcb85d22c005fce4562a7523
[ "MIT" ]
1
2021-01-03T18:53:06.000Z
2021-01-03T18:53:06.000Z
SDFConv/code/utils/vis/unet_vis.py
zshyang/FieldConvolution
ca88df568a6f2143dcb85d22c005fce4562a7523
[ "MIT" ]
null
null
null
SDFConv/code/utils/vis/unet_vis.py
zshyang/FieldConvolution
ca88df568a6f2143dcb85d22c005fce4562a7523
[ "MIT" ]
null
null
null
"""Implement this function across different project. ----ZY.2020.Oct. """ import os from easydict import EasyDict from torchvision.utils import save_image from logging import Logger from subprocess import call def create_save_folders(root_folder, folder_list: list): """Create folders to save visualization image. ...
37.208333
114
0.645017
501
3,572
4.423154
0.275449
0.024368
0.031588
0.036101
0.130866
0.092058
0.092058
0.070397
0.044224
0.044224
0
0.006268
0.240761
3,572
95
115
37.6
0.810841
0.240482
0
0.155172
0
0
0.094046
0.010239
0
0
0
0
0
1
0.034483
false
0
0.086207
0
0.12069
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
0
0
1
0
88c151ffa4679f358142c0fae2020059a35ad3a9
1,465
py
Python
tests/test_models/test_metric_report.py
wikimedia/analytics-wikimetrics
1d2036657b06ccd16ecfc76edd3f9a6119ff75f4
[ "MIT" ]
6
2015-01-28T05:59:08.000Z
2018-01-09T07:48:57.000Z
tests/test_models/test_metric_report.py
wikimedia/analytics-wikimetrics
1d2036657b06ccd16ecfc76edd3f9a6119ff75f4
[ "MIT" ]
2
2020-05-09T16:36:43.000Z
2020-05-09T16:52:35.000Z
tests/test_models/test_metric_report.py
wikimedia/analytics-wikimetrics
1d2036657b06ccd16ecfc76edd3f9a6119ff75f4
[ "MIT" ]
1
2016-01-13T07:19:44.000Z
2016-01-13T07:19:44.000Z
from nose.tools import assert_equals, assert_true from wikimetrics.metrics import metric_classes from wikimetrics.models import ( MetricReport ) from ..fixtures import DatabaseTest class MetricReportTest(DatabaseTest): def setUp(self): DatabaseTest.setUp(self) self.common_cohort_1() d...
28.173077
57
0.524915
159
1,465
4.698113
0.327044
0.042838
0.104418
0.091031
0.524766
0.524766
0.524766
0.473896
0.473896
0.473896
0
0.076433
0.356997
1,465
51
58
28.72549
0.716561
0
0
0.444444
0
0
0.107167
0
0
0
0
0
0.066667
1
0.066667
false
0
0.088889
0
0.177778
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
0
0
1
0
88c3e3d167bb3169d56f9fd93e05df1be55709b1
1,903
py
Python
xugrid/data/synthetic.py
Deltares/xugrid
41881977e5e49d0f87a90dd995960283b812b921
[ "MIT" ]
15
2021-10-04T15:18:33.000Z
2022-03-14T13:58:27.000Z
xugrid/data/synthetic.py
Deltares/xugrid
41881977e5e49d0f87a90dd995960283b812b921
[ "MIT" ]
10
2021-11-10T15:12:02.000Z
2022-02-10T14:35:57.000Z
xugrid/data/synthetic.py
Deltares/xugrid
41881977e5e49d0f87a90dd995960283b812b921
[ "MIT" ]
null
null
null
import meshzoo import numpy as np import xarray as xr import xugrid def transform(vertices, minx, maxx, miny): """ Transform vertices to fit within minx to maxx. Maintains x:y aspect ratio. """ x, y = vertices.T xmin = x.min() xmax = x.max() ymin = y.min() ymax = y.max() dx = ...
27.985294
105
0.527063
280
1,903
3.478571
0.317857
0.008214
0.036961
0.049281
0.113963
0.113963
0.113963
0
0
0
0
0.053071
0.306884
1,903
67
106
28.402985
0.685368
0.090384
0
0
0
0
0.010664
0
0
0
0
0
0
1
0.056604
false
0
0.075472
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
0
0
0
0
0
0
0
0
0
0
1
0
88c4cf9f6f8d805d5af7d3c164350e7934f1fcde
2,492
py
Python
ckanext/tess/group.py
ElixirUK/ckanext-tess
01725ff81b74f31d906875cb0cf493e7d3533615
[ "BSD-3-Clause" ]
1
2015-05-18T08:31:28.000Z
2015-05-18T08:31:28.000Z
ckanext/tess/group.py
ElixirUK/ckanext-tess
01725ff81b74f31d906875cb0cf493e7d3533615
[ "BSD-3-Clause" ]
null
null
null
ckanext/tess/group.py
ElixirUK/ckanext-tess
01725ff81b74f31d906875cb0cf493e7d3533615
[ "BSD-3-Clause" ]
null
null
null
import ckan.plugins as plugins import ckan.model as model import ckan.logic as logic import ckan.plugins.toolkit as toolkit import ckan.lib.plugins as plugs from pylons import c NotFound = logic.NotFound get_action = logic.get_action class GroupPlugin(plugins.SingletonPlugin, plugs.DefaultGroupForm): plugins.imp...
33.675676
123
0.656902
292
2,492
5.35274
0.273973
0.038388
0.048624
0.026871
0.332694
0.269994
0.269994
0.269994
0.204734
0.204734
0
0.002088
0.23114
2,492
73
124
34.136986
0.813674
0.014848
0
0.303571
0
0
0.106036
0
0
0
0
0
0
1
0.125
false
0
0.107143
0.035714
0.392857
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
0
0
1
0
88c6dfcf5b1c5b830035587feb18704990928ca6
2,087
py
Python
package/spack-discovardenovo/package.py
ctuning/ck-spack
307934efce1be2d4f104251275c82fbc70127105
[ "BSD-3-Clause" ]
1
2018-07-17T07:45:09.000Z
2018-07-17T07:45:09.000Z
package/spack-discovardenovo/package.py
ctuning/ck-spack
307934efce1be2d4f104251275c82fbc70127105
[ "BSD-3-Clause" ]
null
null
null
package/spack-discovardenovo/package.py
ctuning/ck-spack
307934efce1be2d4f104251275c82fbc70127105
[ "BSD-3-Clause" ]
null
null
null
############################################################################## # Copyright (c) 2013-2018, Lawrence Livermore National Security, LLC. # Produced at the Lawrence Livermore National Laboratory. # # This file is part of Spack. # Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved. # LLNL-CODE-64...
45.369565
115
0.689506
290
2,087
4.948276
0.617241
0.022997
0.016725
0.029268
0.07108
0.07108
0.07108
0
0
0
0
0.045195
0.162434
2,087
45
116
46.377778
0.775744
0.679444
0
0
0
0.111111
0.492441
0.280778
0
0
0
0
0
1
0
false
0
0.111111
0
0.444444
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
0
0
1
0
88c7e5dd6da0bf02bd4f18142f4b9f76bc68b52c
10,379
py
Python
s2_convert.py
uscensusbureau/SABLE
883d449e4e6b75636d2589f540e86a5401e09932
[ "CC0-1.0" ]
27
2017-11-06T22:55:24.000Z
2021-06-11T12:56:03.000Z
s2_convert.py
uscensusbureau/SABLE
883d449e4e6b75636d2589f540e86a5401e09932
[ "CC0-1.0" ]
1
2018-01-31T18:26:23.000Z
2018-01-31T18:26:23.000Z
s2_convert.py
uscensusbureau/SABLE
883d449e4e6b75636d2589f540e86a5401e09932
[ "CC0-1.0" ]
8
2017-10-05T19:17:05.000Z
2020-10-21T23:08:34.000Z
#Name: s2_convert.py #Purpose: Convert PDFs to TXT format #Invocation: python3 s2_convert.py <projName> <lng> <clss> import codecs import os import re import sys #Name: valid_arguments #Purpose: Check whether the command-line arguments are valid #Parameters: sys.argv (globally defin...
34.946128
169
0.544561
1,244
10,379
4.500804
0.264469
0.003572
0.004286
0.005715
0.177353
0.131988
0.107162
0.092874
0.092874
0.092874
0
0.032161
0.328933
10,379
296
170
35.064189
0.771716
0.299547
0
0.190476
0
0
0.061449
0.006377
0
0
0
0
0
1
0.063492
false
0
0.021164
0.021164
0.153439
0.026455
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
0
1
0
88cc892509c73d91def940743039ba5fd8a12e2f
5,818
py
Python
copy-net3_main0_1_2_20-01-10_14-12-14_epoch600_lr0-3_decay0-0_decay20-0_decay39e-05_seed0/main0.py
ninfueng/nsn
a214eafbcf5cf6dedb57131bc6eb1d307797f2ab
[ "MIT" ]
null
null
null
copy-net3_main0_1_2_20-01-10_14-12-14_epoch600_lr0-3_decay0-0_decay20-0_decay39e-05_seed0/main0.py
ninfueng/nsn
a214eafbcf5cf6dedb57131bc6eb1d307797f2ab
[ "MIT" ]
null
null
null
copy-net3_main0_1_2_20-01-10_14-12-14_epoch600_lr0-3_decay0-0_decay20-0_decay39e-05_seed0/main0.py
ninfueng/nsn
a214eafbcf5cf6dedb57131bc6eb1d307797f2ab
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """The code implementation of SharedGradNet. main0.py is for neural networks without hidden layer. Some part from: https://jhui.github.io/2018/02/09/PyTorch-Variables-functionals-and-Autograd/ 2019/06/17: Update with hyper-parameter tuning script. 2019/06/25: Committed mai...
46.174603
117
0.653489
775
5,818
4.682581
0.27871
0.033343
0.04216
0.016533
0.117112
0.08625
0.054836
0.020391
0.020391
0
0
0.024908
0.206428
5,818
125
118
46.544
0.7611
0.067377
0
0
0
0
0.224151
0.061115
0
0
0
0
0
1
0
false
0
0.12381
0
0.12381
0.009524
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
0
1
0
88cfb3f12d8dd1b1dd5417858d82ba8a891b227e
7,694
py
Python
etc/dbus-serialbattery/battery.py
Carstijn/dbus-serialbattery
23afec33c2fd87fd4d4c53516f0a25f290643c82
[ "MIT" ]
null
null
null
etc/dbus-serialbattery/battery.py
Carstijn/dbus-serialbattery
23afec33c2fd87fd4d4c53516f0a25f290643c82
[ "MIT" ]
null
null
null
etc/dbus-serialbattery/battery.py
Carstijn/dbus-serialbattery
23afec33c2fd87fd4d4c53516f0a25f290643c82
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- from __future__ import absolute_import, division, print_function, unicode_literals import utils class Protection(object): # 2 = Alarm, 1 = Warning, 0 = Normal def __init__(self): self.voltage_high = None self.voltage_low = None self.voltage_cell_low = None ...
35.786047
101
0.618144
1,049
7,694
4.35367
0.154433
0.061309
0.033501
0.044668
0.497482
0.463981
0.456098
0.437048
0.408583
0.335231
0
0.021005
0.306992
7,694
215
102
35.786047
0.835521
0.13712
0
0.289157
0
0
0.010574
0
0
0
0
0
0
1
0.108434
false
0
0.012048
0.018072
0.325301
0.006024
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
0
1
0
88d2d07a327a91f5956c30f18f5820061fc0b593
16,227
py
Python
lumicks/pylake/kymotracker/detail/binding_times.py
lumicks/pylake
b5875d156d6416793a371198f3f2590fca2be4cd
[ "Apache-2.0" ]
8
2019-02-18T07:56:39.000Z
2022-03-19T01:14:48.000Z
lumicks/pylake/kymotracker/detail/binding_times.py
lumicks/pylake
b5875d156d6416793a371198f3f2590fca2be4cd
[ "Apache-2.0" ]
42
2018-11-30T14:40:35.000Z
2022-03-29T11:43:45.000Z
lumicks/pylake/kymotracker/detail/binding_times.py
lumicks/pylake
b5875d156d6416793a371198f3f2590fca2be4cd
[ "Apache-2.0" ]
4
2019-01-09T13:45:53.000Z
2021-07-06T14:06:52.000Z
import numpy as np from scipy.special import logsumexp from scipy.optimize import minimize from functools import partial from dataclasses import dataclass, field import matplotlib.pyplot as plt @dataclass class BindingDwelltimesBootstrap: """Bootstrap distributions for a binding dwelltime model. This class i...
38.913669
101
0.638442
1,947
16,227
5.178737
0.176168
0.052068
0.024993
0.013191
0.325102
0.278588
0.249727
0.231578
0.200932
0.179907
0
0.009721
0.264621
16,227
416
102
39.007212
0.835247
0.378443
0
0.121827
0
0.005076
0.082972
0.013124
0
0
0
0
0
1
0.091371
false
0
0.030457
0
0.233503
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
0
0
1
0
88d788b313f88688621166e29c634f6bf47ff41a
508
py
Python
GUI/crab.py
31337H4X0R/crab-tracker
c822a40010d172ba797b5de8c340931d0feea6e4
[ "MIT" ]
1
2019-07-31T01:32:17.000Z
2019-07-31T01:32:17.000Z
GUI/crab.py
31337H4X0R/crab-tracker
c822a40010d172ba797b5de8c340931d0feea6e4
[ "MIT" ]
47
2017-11-04T02:04:42.000Z
2018-06-16T01:00:48.000Z
GUI/crab.py
31337H4X0R/crab-tracker
c822a40010d172ba797b5de8c340931d0feea6e4
[ "MIT" ]
2
2018-06-10T21:58:49.000Z
2019-06-18T17:21:03.000Z
class Crab: def __init__(self, crab_id, sex, species, color, damage, carapace, mass, epibiont, molt): self.id = crab_id self.sex = sex self.species = species self.color = color self.damage = damage self.carapace = carapace self.mass = mass self.epibion...
33.866667
123
0.622047
66
508
4.681818
0.257576
0.038835
0.058252
0
0
0
0
0
0
0
0
0
0.277559
508
14
124
36.285714
0.841962
0
0
0
0
0
0
0
0
0
0
0
0
1
0.153846
false
0
0
0.076923
0.307692
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
0
0
1
0
88da52cb71a753a4cfdc782a27d2b76618927365
2,821
py
Python
build/fbcode_builder_config.py
YangKian/LogDevice
e5c2168c11e9de867a1bcf519f95016e1c879b5c
[ "BSD-3-Clause" ]
1,831
2018-09-12T15:41:52.000Z
2022-01-05T02:38:03.000Z
build/fbcode_builder_config.py
YangKian/LogDevice
e5c2168c11e9de867a1bcf519f95016e1c879b5c
[ "BSD-3-Clause" ]
183
2018-09-12T16:14:59.000Z
2021-12-07T15:49:43.000Z
build/fbcode_builder_config.py
YangKian/LogDevice
e5c2168c11e9de867a1bcf519f95016e1c879b5c
[ "BSD-3-Clause" ]
228
2018-09-12T15:41:51.000Z
2022-01-05T08:12:09.000Z
#!/usr/bin/env python # Copyright (c) Facebook, Inc. and its affiliates. # All rights reserved. # # This source code is licensed under the BSD-style license found in the # LICENSE file in the root directory of this source tree. from __future__ import absolute_import, division, print_function, unicode_literals import...
31.344444
87
0.684864
367
2,821
5.111717
0.493188
0.048507
0.036247
0.033582
0.084222
0
0
0
0
0
0
0.009046
0.216235
2,821
89
88
31.696629
0.839439
0.197093
0
0.23913
0
0
0.269529
0.084675
0
0
0
0
0
1
0.043478
false
0
0.173913
0.021739
0.282609
0.021739
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
0
1
0
88dac5f28a975211597a7acd699981246fdfddd1
1,883
py
Python
Python-Programs/Discord-bot-Motivation Bot/main.py
adityaverma121/Simple-Programs
8450560b97f89e0fa3da16a623ad35c0b26409c9
[ "MIT" ]
71
2021-09-30T11:25:12.000Z
2021-10-03T11:33:22.000Z
Python-Programs/Discord-bot-Motivation Bot/main.py
adityaverma121/Simple-Programs
8450560b97f89e0fa3da16a623ad35c0b26409c9
[ "MIT" ]
186
2021-09-30T12:25:16.000Z
2021-10-03T13:45:04.000Z
Python-Programs/Discord-bot-Motivation Bot/main.py
adityaverma121/Simple-Programs
8450560b97f89e0fa3da16a623ad35c0b26409c9
[ "MIT" ]
385
2021-09-30T11:34:23.000Z
2021-10-03T13:41:00.000Z
import json import os import random import string import requests from keep_alive import keep_alive from nltk.sentiment.vader import SentimentIntensityAnalyzer import discord client = discord.Client() starter_motivator = [ "Cheer Up!", "Always remember, I am here for you!", "You are a great person. Reme...
25.445946
153
0.630377
238
1,883
4.92437
0.483193
0.055461
0.064846
0.078498
0.035836
0
0
0
0
0
0
0.002068
0.229421
1,883
73
154
25.794521
0.805651
0
0
0.090909
0
0.018182
0.305895
0.030271
0
0
0
0
0
1
0.018182
false
0
0.145455
0
0.2
0.018182
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
0
1
0
88df26756f4d2511b8925b4ee5ec1ed8cec09d0b
1,234
py
Python
utils.py
wangke0809/learn-statistical-learning-method
10772659ff52ef64e7ff36dd3b701615e58de335
[ "MIT" ]
null
null
null
utils.py
wangke0809/learn-statistical-learning-method
10772659ff52ef64e7ff36dd3b701615e58de335
[ "MIT" ]
null
null
null
utils.py
wangke0809/learn-statistical-learning-method
10772659ff52ef64e7ff36dd3b701615e58de335
[ "MIT" ]
null
null
null
import os import numpy as np def load_mnist(path='mnist'): data_dir = os.path.join("./data", path) fd = open(os.path.join(data_dir,'train-images-idx3-ubyte')) loaded = np.fromfile(file=fd,dtype=np.uint8) trX = loaded[16:].reshape((60000,28,28,1)).astype(np.float) fd = open(os.path.join(data_dir,'...
29.380952
63
0.638574
198
1,234
3.949495
0.262626
0.081841
0.063939
0.089514
0.612532
0.612532
0.612532
0.453964
0.411765
0.411765
0
0.054795
0.171799
1,234
42
64
29.380952
0.710372
0.15154
0
0.25
0
0
0.097115
0.086538
0
0
0
0
0
1
0.041667
false
0
0.083333
0
0.166667
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
0
0
1
0
88e15f87d60572f7354fdd0f31ccffeddc289a42
2,210
py
Python
src/analysis.py
aliFrancis/mars-crater-catalogue
5e6ac4e1f7967b1d37d95e436edaa31ef2f2ed55
[ "CC-BY-4.0" ]
null
null
null
src/analysis.py
aliFrancis/mars-crater-catalogue
5e6ac4e1f7967b1d37d95e436edaa31ef2f2ed55
[ "CC-BY-4.0" ]
null
null
null
src/analysis.py
aliFrancis/mars-crater-catalogue
5e6ac4e1f7967b1d37d95e436edaa31ef2f2ed55
[ "CC-BY-4.0" ]
null
null
null
import numpy as np import matplotlib.pyplot as plt import pandas as pd import seaborn as sn from utils import convert, iou def average_pairwise_IOU(IOU_mat): n = IOU_mat.shape[0] mean_IOU = (np.sum(IOU_mat)-n)/(np.size(IOU_mat)-n) return mean_IOU def group_IOU_matrices(paths): survey_names = [p.repl...
34.53125
97
0.608597
326
2,210
3.831288
0.251534
0.022418
0.044836
0.026421
0.261009
0.261009
0.261009
0.261009
0.179343
0.179343
0
0.01021
0.202262
2,210
63
98
35.079365
0.698242
0.022172
0
0.181818
0
0
0.128241
0.021759
0
0
0
0
0
1
0.036364
false
0
0.127273
0
0.2
0.345455
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
0
1
0
88e45fe24cb4ac33e12b90a494c738b76fd18630
3,033
py
Python
scripts/test_tensorflow_spectrogram.py
RichardLitt/Vesper
5360844f42a06942e7684121c650b08cf8616285
[ "MIT" ]
29
2017-07-10T14:49:15.000Z
2022-02-02T23:14:38.000Z
scripts/test_tensorflow_spectrogram.py
Tubbz-alt/Vesper
76e5931ca0c7fbe070c53b1362ec246ec9007beb
[ "MIT" ]
167
2015-03-17T14:45:22.000Z
2022-03-30T21:00:05.000Z
scripts/test_tensorflow_spectrogram.py
Tubbz-alt/Vesper
76e5931ca0c7fbe070c53b1362ec246ec9007beb
[ "MIT" ]
4
2015-02-06T03:30:27.000Z
2020-12-27T08:38:52.000Z
""" Compares spectrogram computations with TensorFlow and Vesper. As of 2018-11-09, Vesper is a little more than three times faster than TensorFlow at computing spectrograms with a DFT size of 128. """ import functools import time import numpy as np import tensorflow as tf import vesper.util.data_windows as data_w...
26.146552
78
0.672272
386
3,033
5.059585
0.300518
0.071685
0.046595
0.060932
0.287762
0.222222
0.203277
0.174091
0.064516
0.064516
0
0.019692
0.229805
3,033
115
79
26.373913
0.816353
0.081438
0
0.157143
0
0
0.099495
0
0
0
0
0
0
1
0.071429
false
0
0.085714
0
0.2
0.157143
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
0
1
0
88e644ee347cd6bc7d3ce925d9db807476d778e2
2,770
py
Python
Station A/Pooling M300/v1_station_a_S30_pooling.py
Opentrons/covid19-system-30
4db5980a93e87f9f607b727678b7ea6d528109ba
[ "Apache-2.0" ]
null
null
null
Station A/Pooling M300/v1_station_a_S30_pooling.py
Opentrons/covid19-system-30
4db5980a93e87f9f607b727678b7ea6d528109ba
[ "Apache-2.0" ]
null
null
null
Station A/Pooling M300/v1_station_a_S30_pooling.py
Opentrons/covid19-system-30
4db5980a93e87f9f607b727678b7ea6d528109ba
[ "Apache-2.0" ]
1
2020-07-29T14:52:28.000Z
2020-07-29T14:52:28.000Z
from opentrons import protocol_api import json import os import math # metadata metadata = { 'protocolName': 'V1 S14 Station A MagMax', 'author': 'Nick <protocols@opentrons.com>', 'source': 'Custom Protocol Request', 'apiLevel': '2.4' } NUM_SAMPLES = 64 SAMPLE_VOLUME = 100 TIP_TRACK = False def run(...
31.123596
78
0.574729
376
2,770
4.023936
0.345745
0.06345
0.065433
0.039656
0.179114
0.088566
0.035691
0
0
0
0
0.054592
0.292419
2,770
88
79
31.477273
0.717347
0.024549
0
0.042254
0
0
0.132047
0.030786
0
0
0
0
0
1
0.028169
false
0
0.056338
0
0.084507
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
0
0
1
0
88e9ebaa162edc8b9d8c063256bea5900e94971c
5,101
py
Python
Reuters/reuters.py
dheeraj7596/SCDV
e83fc81e1b59bebfa2fa1e334097caa44f9e7f48
[ "MIT" ]
60
2017-05-25T14:08:50.000Z
2022-02-04T19:29:44.000Z
Reuters/reuters.py
vgupta123/SCDV
329b13a413318262f1888d872d8e33b30217cbc7
[ "MIT" ]
2
2020-03-27T14:01:12.000Z
2020-07-16T14:33:31.000Z
Reuters/reuters.py
vgupta123/SCDV
329b13a413318262f1888d872d8e33b30217cbc7
[ "MIT" ]
19
2017-11-10T01:06:28.000Z
2021-09-25T19:31:25.000Z
# Reuters-21578 dataset downloader and parser # # Author: Eustache Diemert <eustache@diemert.fr> # http://scikit-learn.org/stable/auto_examples/applications/plot_out_of_core_classification.html # # Modified by @herrfz, get pandas DataFrame from the orig SGML # License: BSD 3 clause from __future__ import print_funct...
30.183432
96
0.556558
606
5,101
4.516502
0.325083
0.032883
0.039459
0.017537
0.078919
0.042382
0.02996
0.02996
0.02996
0
0
0.011338
0.308371
5,101
168
97
30.363095
0.764456
0.172123
0
0.19469
0
0
0.072482
0.008998
0
0
0
0
0
1
0.176991
false
0.017699
0.079646
0.00885
0.318584
0.053097
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
0
1
0
88ebd6984c24756abffb46e10ea57a9b5e6af63f
485
py
Python
ratemyprof_api/professor.py
nananananate/ratemyprof-api
c037e68e763154cc60812393538c7aa380fbb90e
[ "MIT" ]
7
2021-09-29T22:48:56.000Z
2022-02-23T16:54:10.000Z
ratemyprof_api/professor.py
nananananate/ratemyprof-api
c037e68e763154cc60812393538c7aa380fbb90e
[ "MIT" ]
null
null
null
ratemyprof_api/professor.py
nananananate/ratemyprof-api
c037e68e763154cc60812393538c7aa380fbb90e
[ "MIT" ]
1
2021-11-19T02:48:08.000Z
2021-11-19T02:48:08.000Z
class Professor: def __init__(self, ratemyprof_id: int, first_name: str, last_name: str, num_of_ratings: int, overall_rating): self.ratemyprof_id = ratemyprof_id self.name = f"{first_name} {last_name}" self.first_name = first_name self.last_name = last_name self.num_of_rati...
30.3125
113
0.65567
66
485
4.409091
0.348485
0.123711
0.164948
0.109966
0
0
0
0
0
0
0
0.005602
0.263918
485
15
114
32.333333
0.809524
0
0
0
0
0
0.049587
0
0
0
0
0
0
1
0.090909
false
0
0
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
0
0
0
0
0
0
0
0
0
1
0
88ec6c26cd7a2f727e00f467fdd178e22cb46386
810
py
Python
hello/hello_sqlite.py
East196/hello-py
a77c7a0c8e5e2b5e8cefaf0fda335ab0c3b1da21
[ "Apache-2.0" ]
1
2017-10-23T14:58:47.000Z
2017-10-23T14:58:47.000Z
hello/hello_sqlite.py
East196/hello-py
a77c7a0c8e5e2b5e8cefaf0fda335ab0c3b1da21
[ "Apache-2.0" ]
null
null
null
hello/hello_sqlite.py
East196/hello-py
a77c7a0c8e5e2b5e8cefaf0fda335ab0c3b1da21
[ "Apache-2.0" ]
1
2018-04-06T07:49:18.000Z
2018-04-06T07:49:18.000Z
#!/usr/bin/env python # -*- coding: utf-8 -*- # 导入SQLite驱动: import sqlite3 # 连接到SQLite数据库 # 数据库文件是test.db # 如果文件不存在,会自动在当前目录创建: conn = sqlite3.connect('hello.db') # 创建一个Cursor: cursor = conn.cursor() cursor.execute('drop table user') # 执行一条SQL语句,创建user表: cursor.execute('create table user (id varchar(20) primary key, n...
26.129032
82
0.707407
103
810
5.563107
0.553398
0.158813
0.094241
0.125654
0.303665
0.303665
0.136126
0.136126
0
0
0
0.013793
0.104938
810
31
83
26.129032
0.776552
0.253086
0
0
0
0
0.376689
0
0
0
0
0
0
1
0
false
0
0.071429
0
0.071429
0.285714
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
0
1
0
88edaae7baa65ef0737db43dff89261e7016c55e
1,324
py
Python
ig_data/InstaSearch.py
swapnanildutta/instagram-search
919a3383f0f7789671108f899d9ba9092a69009f
[ "MIT" ]
1
2022-01-04T16:51:50.000Z
2022-01-04T16:51:50.000Z
ig_data/InstaSearch.py
swapnanildutta/instagram-search
919a3383f0f7789671108f899d9ba9092a69009f
[ "MIT" ]
3
2020-10-26T13:31:05.000Z
2022-01-05T23:11:42.000Z
ig_data/InstaSearch.py
swapnanildutta/instagram-search
919a3383f0f7789671108f899d9ba9092a69009f
[ "MIT" ]
2
2020-04-07T09:24:07.000Z
2020-04-14T06:38:49.000Z
# imports import requests, json # beautifulsoup4 from bs4 import BeautifulSoup def searchDisplay(username): # base url for the data url = 'https://www.instagram.com/{}/'.format(username) try: req = requests.get(url).content soup=BeautifulSoup(req,"html.parser") row=soup.f...
33.948718
116
0.58006
135
1,324
5.674074
0.474074
0.093995
0.028721
0.052219
0.422977
0.422977
0.422977
0.422977
0.315927
0.315927
0
0.007202
0.265861
1,324
38
117
34.842105
0.780864
0.033233
0
0.625
0
0
0.272433
0
0
0
0
0
0
1
0.0625
false
0
0.0625
0
0.1875
0.09375
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
88ef1b2b45df53d3ae9e2451d75c76436af81011
2,369
py
Python
tests/jax_ops_test.py
ita9naiwa/fast-soft-sort
72cbd93ecc229736f9e05bfdfd0f48c09432904f
[ "Apache-2.0" ]
389
2020-06-08T22:30:18.000Z
2022-03-25T23:04:28.000Z
tests/jax_ops_test.py
ita9naiwa/fast-soft-sort
72cbd93ecc229736f9e05bfdfd0f48c09432904f
[ "Apache-2.0" ]
14
2020-06-21T13:21:51.000Z
2021-10-18T18:02:07.000Z
tests/jax_ops_test.py
ita9naiwa/fast-soft-sort
72cbd93ecc229736f9e05bfdfd0f48c09432904f
[ "Apache-2.0" ]
32
2020-06-20T17:25:10.000Z
2022-03-26T13:34:23.000Z
# Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
32.452055
80
0.71718
304
2,369
5.457237
0.4375
0.092827
0.112116
0.135624
0.229054
0.229054
0.206148
0.174804
0.174804
0.174804
0
0.016154
0.189954
2,369
72
81
32.902778
0.848359
0.24103
0
0.097561
0
0
0.024157
0
0
0
0
0
0.02439
1
0.097561
false
0
0.243902
0
0.390244
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
0
0
1
0
88f18a67e803424dde5d28eb3302913d647a3a2f
27,163
py
Python
src/pages/pe_cuencas.py
ValentinSilvestri/cammesa
33ff17ad4a0447fd4668b6adad1c4bbfd88aba8e
[ "MIT" ]
null
null
null
src/pages/pe_cuencas.py
ValentinSilvestri/cammesa
33ff17ad4a0447fd4668b6adad1c4bbfd88aba8e
[ "MIT" ]
null
null
null
src/pages/pe_cuencas.py
ValentinSilvestri/cammesa
33ff17ad4a0447fd4668b6adad1c4bbfd88aba8e
[ "MIT" ]
null
null
null
import os import re import pymongo import pandas as pd import numpy as np import streamlit as st from bokeh.plotting import figure from bokeh.palettes import Set1_9, Set3_12, Inferno256 @st.cache(suppress_st_warning=True, allow_output_mutation=True) def get_caudales(): """Function to obtain the rivers basin flows...
39.538574
130
0.555793
2,864
27,163
5.208101
0.085196
0.059265
0.025476
0.03218
0.758045
0.65661
0.60244
0.553366
0.506034
0.434902
0
0.009018
0.338622
27,163
686
131
39.59621
0.821208
0.045945
0
0.424191
0
0
0.438753
0.04614
0
0
0
0
0
1
0.015332
false
0
0.013629
0
0.042589
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
0
0
1
0
88f1cc3699cf5781999a9874993e5299f3224a9d
5,930
py
Python
utils/gen-vowel-constraints.py
ctrlcctrlv/fontFeatures
76d68586da2c1c42bb3cd79f92d583e63f52cf02
[ "BSD-3-Clause" ]
51
2020-01-15T09:28:51.000Z
2022-03-30T06:48:36.000Z
utils/gen-vowel-constraints.py
ctrlcctrlv/fontFeatures
76d68586da2c1c42bb3cd79f92d583e63f52cf02
[ "BSD-3-Clause" ]
51
2020-05-11T18:51:25.000Z
2021-12-20T12:55:08.000Z
utils/gen-vowel-constraints.py
ctrlcctrlv/fontFeatures
76d68586da2c1c42bb3cd79f92d583e63f52cf02
[ "BSD-3-Clause" ]
8
2020-08-28T20:03:14.000Z
2021-12-08T01:22:28.000Z
#!/usr/bin/env python3 """Generator of the function to prohibit certain vowel sequences. It creates ``_hb_preprocess_text_vowel_constraints``, which inserts dotted circles into sequences prohibited by the USE script development spec. This function should be used as the ``preprocess_text`` of an ``hb_ot_complex_shaper...
37.770701
130
0.579764
738
5,930
4.533875
0.257453
0.031381
0.026898
0.028392
0.187986
0.13688
0.063957
0.049014
0.049014
0.049014
0
0.014654
0.286509
5,930
156
131
38.012821
0.776176
0.143508
0
0.117117
0
0
0.208135
0.054762
0
0
0.00119
0
0.036036
1
0.054054
false
0
0.036036
0.009009
0.144144
0.09009
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
0
1
0
88f5b3a545f8379f5c6bd871ff166dd1442dd335
1,263
py
Python
solutions/validate-binary-search-tree.py
edab/-LC_StudyPlan_Python
e065f0ced68d23800d7b5001102c2e930ee35e23
[ "MIT" ]
null
null
null
solutions/validate-binary-search-tree.py
edab/-LC_StudyPlan_Python
e065f0ced68d23800d7b5001102c2e930ee35e23
[ "MIT" ]
1
2022-02-22T15:42:54.000Z
2022-02-25T00:10:04.000Z
solutions/validate-binary-search-tree.py
edab/-LC_StudyPlan_Python
e065f0ced68d23800d7b5001102c2e930ee35e23
[ "MIT" ]
null
null
null
# Leetcode 98. Validate Binary Search Tree # # Link: https://leetcode.com/problems/validate-binary-search-tree/ # Difficulty: Medium # Complexity: # O(N) time | where N represent the number of elements in the input tree # O(N) space | where N represent the number of elements in the input tree # Definition for a bi...
30.071429
104
0.63658
173
1,263
4.537572
0.364162
0.035669
0.042038
0.061147
0.170701
0.122293
0.122293
0.122293
0.122293
0.122293
0
0.003264
0.272367
1,263
41
105
30.804878
0.850925
0.366587
0
0.291667
0
0
0
0
0
0
0
0
0
1
0.125
false
0
0
0
0.458333
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
0
0
1
0
88f8317bf62d16d93d0f7dd37a85760c1a1014e1
763
py
Python
setup.py
stanford-ccb/ccb
ba75d490663958703f19e7a13f72001b050da229
[ "MIT" ]
3
2020-02-13T00:49:06.000Z
2020-06-24T23:53:25.000Z
setup.py
stanford-ccb/ccb
ba75d490663958703f19e7a13f72001b050da229
[ "MIT" ]
null
null
null
setup.py
stanford-ccb/ccb
ba75d490663958703f19e7a13f72001b050da229
[ "MIT" ]
4
2020-01-29T17:21:59.000Z
2021-01-27T01:53:05.000Z
from setuptools import setup version = open("ccb/__version__.py").read().strip('"\n') setup_args = { "name": "ccb", "version": version, "url": "https://github.com/earth-chris/ccb", "license": "MIT", "author": "Christopher Anderson", "author_email": "cbanders@stanford.edu", "description": "...
34.681818
111
0.643512
87
763
5.528736
0.643678
0.056133
0.112266
0
0
0
0
0
0
0
0
0
0.142857
763
21
112
36.333333
0.735474
0
0
0
0
0
0.585845
0.169069
0
0
0
0
0
1
0
false
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
0
0
0
0
0
0
1
0
88f8e7ad2c848fa7633da12c05df70cdb4d3835a
1,576
py
Python
Unit4/Lesson8.py
szhua/PythonLearn
12eaf7cc74a0310bb23e21773f3c83deb91d0362
[ "Apache-2.0" ]
null
null
null
Unit4/Lesson8.py
szhua/PythonLearn
12eaf7cc74a0310bb23e21773f3c83deb91d0362
[ "Apache-2.0" ]
null
null
null
Unit4/Lesson8.py
szhua/PythonLearn
12eaf7cc74a0310bb23e21773f3c83deb91d0362
[ "Apache-2.0" ]
null
null
null
# import time # # def reader(): # """A generator that fakes a read from a file, socket, etc.""" # for i in range(101): # yield '<< %s' % i # # def consumer(): # r = '' # while True: # #但是Python的yield不但可以返回一个值,它还可以接收调用者发出的参数。 # #此处的n是接受参数 # n = yield from reader() # ...
17.909091
68
0.498096
198
1,576
3.954545
0.378788
0.03576
0.022989
0.042146
0.048531
0.048531
0
0
0
0
0
0.028155
0.346447
1,576
87
69
18.114943
0.732039
0.564721
0
0.2
0
0
0
0
0
0
0
0
0
1
0.1
false
0
0
0
0.133333
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
0
0
0
0
0
0
0
0
1
0
88fb6794a48a5fc109dca145fcd71d6498bacc28
1,288
py
Python
tools/transferComponentSelection.py
fsanges/glTools
8ff0899de43784a18bd4543285655e68e28fb5e5
[ "MIT" ]
165
2015-01-26T05:22:04.000Z
2022-03-22T02:50:41.000Z
tools/transferComponentSelection.py
qeeji/glTools
8ff0899de43784a18bd4543285655e68e28fb5e5
[ "MIT" ]
5
2015-12-02T02:39:44.000Z
2020-12-09T02:45:54.000Z
tools/transferComponentSelection.py
qeeji/glTools
8ff0899de43784a18bd4543285655e68e28fb5e5
[ "MIT" ]
83
2015-02-10T17:18:24.000Z
2022-02-10T07:16:47.000Z
import maya.cmds as mc import maya.OpenMaya as OpenMaya import glTools.utils.base def transferComponentSelection(sourceSelection,targetMesh,threshold=0.0001): ''' ''' # Check selection target mesh if not mc.objExists(targetMesh): raise Exception('Target mesh "'+targetMesh+'" does not exist!') # Flatten selec...
22.596491
76
0.699534
162
1,288
5.561728
0.450617
0.059933
0.08657
0.099889
0.119867
0
0
0
0
0
0
0.015504
0.198758
1,288
56
77
23
0.857558
0.274068
0
0
0
0
0.039474
0
0
0
0
0
0
1
0.038462
false
0
0.115385
0
0.192308
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
0
0
1
0
88fe054080de49b8785340e2f3ce23ac82e4a3fa
324
py
Python
the_office/test.py
zubyjaved/reddit-bots
9f15f5ee9eede5223c975c29527c9e58d68bb517
[ "MIT" ]
2
2019-09-07T09:40:23.000Z
2021-06-19T08:40:00.000Z
the_office/test.py
zubyjaved/reddit-bots
9f15f5ee9eede5223c975c29527c9e58d68bb517
[ "MIT" ]
2
2019-09-05T04:42:23.000Z
2019-09-05T04:44:37.000Z
the_office/test.py
zubyjaved/reddit-bots
9f15f5ee9eede5223c975c29527c9e58d68bb517
[ "MIT" ]
null
null
null
import json import praw reddit = praw.Reddit("dwight-schrute-bot") for submission in reddit.subreddit('all').rising(limit=15): submission.comments.replace_more(limit=None) print(submission.subreddit.display_name) if not submission.over_18: for comment in submission.comments.list(): pri...
29.454545
59
0.722222
42
324
5.5
0.666667
0.08658
0
0
0
0
0
0
0
0
0
0.014815
0.166667
324
11
60
29.454545
0.840741
0
0
0
0
0
0.064615
0
0
0
0
0
0
1
0
false
0
0.222222
0
0.222222
0.222222
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
0
1
0
88fe820e78b74b43c84647fdd224db13efd8f585
1,311
py
Python
Scripts/Client/ManualControlTest.py
Fzeak/sauvc-2019
573dcb351d0f87f9b7605667c570a5003bedb224
[ "MIT" ]
null
null
null
Scripts/Client/ManualControlTest.py
Fzeak/sauvc-2019
573dcb351d0f87f9b7605667c570a5003bedb224
[ "MIT" ]
null
null
null
Scripts/Client/ManualControlTest.py
Fzeak/sauvc-2019
573dcb351d0f87f9b7605667c570a5003bedb224
[ "MIT" ]
null
null
null
from pymavlink import mavutil import time # Create the connection master = mavutil.mavlink_connection('udpin:0.0.0.0:14550') # Wait a heartbeat before sending commands master.wait_heartbeat() # Send a positive x value, negative y, negative z, # positive rotation and no button. # http://mavlink.org/messages/common#MAN...
28.5
100
0.695652
200
1,311
4.465
0.54
0.013438
0.013438
0.073908
0.098544
0.098544
0.098544
0.098544
0
0
0
0.05698
0.196796
1,311
45
101
29.133333
0.791073
0.423341
0
0.333333
0
0
0.09825
0
0
0
0
0
0
1
0
false
0
0.066667
0
0.066667
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
0
0
0
0
0
0
0
0
1
0
00002c1133ee1a3e69c2c023cddb9b34c36440ca
1,634
py
Python
setup.py
DNA-and-Natural-Algorithms-Group/peppercompiler
effbcdedfb17534300fb3504a552e46c1ead41e4
[ "MIT" ]
3
2019-06-10T18:44:03.000Z
2021-11-17T10:57:09.000Z
setup.py
DNA-and-Natural-Algorithms-Group/peppercompiler
effbcdedfb17534300fb3504a552e46c1ead41e4
[ "MIT" ]
2
2017-12-15T01:09:49.000Z
2021-03-25T20:42:23.000Z
setup.py
DNA-and-Natural-Algorithms-Group/peppercompiler
effbcdedfb17534300fb3504a552e46c1ead41e4
[ "MIT" ]
4
2017-08-21T03:32:51.000Z
2019-10-18T04:09:38.000Z
#!/usr/bin/env python from setuptools import setup from distutils.command.build import build from setuptools.command.develop import develop class build_with_spurious(build): def run(self): import os if "CC" in os.environ: cc = os.environ['CC'] else: cc = "cc" ...
29.709091
106
0.641983
170
1,634
6.041176
0.452941
0.046738
0.075949
0.031159
0.179163
0.144109
0.144109
0.144109
0.144109
0.144109
0
0.004036
0.241738
1,634
54
107
30.259259
0.824859
0.01224
0
0.136364
0
0
0.405456
0.215127
0
0
0
0
0
1
0.045455
false
0
0.113636
0
0.204545
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
0
0
1
0
00004b28f6ae2b9a9b673b26fbf0fba70c90416d
1,126
py
Python
client/client.py
flavioribeiro/playmobil
d104b80fd666158e7ae3d1e28ce8d3ba68e93a68
[ "Apache-2.0" ]
1
2016-10-27T21:30:30.000Z
2016-10-27T21:30:30.000Z
client/client.py
flavioribeiro/playmobil
d104b80fd666158e7ae3d1e28ce8d3ba68e93a68
[ "Apache-2.0" ]
null
null
null
client/client.py
flavioribeiro/playmobil
d104b80fd666158e7ae3d1e28ce8d3ba68e93a68
[ "Apache-2.0" ]
null
null
null
import sys sys.path.append("/Library/Frameworks/GStreamer.framework/Versions/0.10/lib/python2.7/site-packages/") import gobject gobject.threads_init() import pygst pygst.require("0.10") import gst class Client(object): def __init__(self): self.pipeline = gst.Pipeline('client') self.videotestsrc = s...
34.121212
101
0.71492
139
1,126
5.661871
0.402878
0.082592
0.086404
0.071156
0.142313
0.142313
0.142313
0.142313
0
0
0
0.016736
0.150977
1,126
32
102
35.1875
0.806485
0
0
0
0
0.038462
0.154529
0.072824
0
0
0
0
0
1
0.115385
false
0
0.153846
0.038462
0.346154
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
0
0
1
0
00005f4a70c5144076952dbbb1c77de24a5e43d7
3,852
py
Python
InternetSemLimites/api/tests/test_edit_view.py
InternetSemLimites/PublicAPI
3dd0f17fe66688ef2895de540950f45d69bcd9d8
[ "MIT" ]
18
2016-04-14T17:03:29.000Z
2020-01-01T00:54:03.000Z
InternetSemLimites/api/tests/test_edit_view.py
InternetSemLimites/PublicAPI
3dd0f17fe66688ef2895de540950f45d69bcd9d8
[ "MIT" ]
48
2016-04-15T12:33:33.000Z
2018-01-25T16:01:45.000Z
InternetSemLimites/api/tests/test_edit_view.py
InternetSemLimites/PublicAPI
3dd0f17fe66688ef2895de540950f45d69bcd9d8
[ "MIT" ]
4
2016-04-15T07:57:04.000Z
2017-09-10T18:10:40.000Z
from django.contrib.auth.models import User from django.core import mail from django.shortcuts import resolve_url from django.test import TestCase from InternetSemLimites.core.forms import ProviderForm from InternetSemLimites.core.models import Provider, State class TestPostValid(TestCase): def setUp(self): ...
39.306122
98
0.637072
474
3,852
5.048523
0.236287
0.075219
0.067697
0.043878
0.550355
0.412035
0.412035
0.379858
0.34392
0.34392
0
0.004988
0.219367
3,852
97
99
39.71134
0.790821
0
0
0.363636
0
0
0.136552
0
0
0
0
0
0.194805
1
0.116883
false
0.025974
0.077922
0
0.220779
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
0
0
1
0
000069dbeffca39b13535cbec664af30b8b425d2
351
py
Python
algorithm-study/therory/selectionSort.py
Seongkyun-Yu/TIL
2be6a2a68246bc98996b1421e2cc20e025c876ed
[ "MIT" ]
1
2020-02-17T15:15:55.000Z
2020-02-17T15:15:55.000Z
algorithm-study/therory/selectionSort.py
Seongkyun-Yu/TIL
2be6a2a68246bc98996b1421e2cc20e025c876ed
[ "MIT" ]
6
2020-07-31T17:03:56.000Z
2022-02-27T04:17:57.000Z
algorithm-study/therory/selectionSort.py
Seongkyun-Yu/TIL
2be6a2a68246bc98996b1421e2cc20e025c876ed
[ "MIT" ]
null
null
null
import random data_list = random.sample(range(100), 50) def selectionSort(arr): for index1 in range(len(arr) - 1): lowestIndex = index1 for index2 in range(index1, len(arr)): if(arr[lowestIndex] > arr[index2]): lowestIndex = index2 arr[index1] = arr[lowestIndex] return arr print(sele...
18.473684
42
0.65812
45
351
5.088889
0.466667
0.069869
0
0
0
0
0
0
0
0
0
0.047794
0.225071
351
18
43
19.5
0.794118
0
0
0
0
0
0
0
0
0
0
0
0
1
0.090909
false
0
0.090909
0
0.272727
0.090909
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
00021f532b1a8ddd0a8c15783c8737edde030453
12,045
py
Python
platform/core/polyaxon/monitor_statuses/monitor.py
hackerwins/polyaxon
ff56a098283ca872abfbaae6ba8abba479ffa394
[ "Apache-2.0" ]
null
null
null
platform/core/polyaxon/monitor_statuses/monitor.py
hackerwins/polyaxon
ff56a098283ca872abfbaae6ba8abba479ffa394
[ "Apache-2.0" ]
null
null
null
platform/core/polyaxon/monitor_statuses/monitor.py
hackerwins/polyaxon
ff56a098283ca872abfbaae6ba8abba479ffa394
[ "Apache-2.0" ]
null
null
null
import logging from typing import Any, Mapping import redis import conf import ocular import workers from constants.experiment_jobs import get_experiment_job_uuid from db.redis.containers import RedisJobContainers from db.redis.statuses import RedisStatuses from lifecycles.jobs import JobLifeCycle from options.regi...
39.491803
94
0.594687
1,234
12,045
5.423825
0.120746
0.099059
0.031376
0.025549
0.514269
0.466906
0.37457
0.344091
0.314059
0.314059
0
0.003225
0.330677
12,045
304
95
39.621711
0.826966
0.026401
0
0.313492
0
0
0.080901
0.009985
0
0
0
0
0
1
0.027778
false
0.003968
0.055556
0.003968
0.126984
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
0
0
1
0
0003b8ab877e0ee926932cb4211e0799fd7d5511
14,636
py
Python
flow65/wing_tool.py
corygoates/Flow65
148eddaeeed8711eae37a16820215c89f93f01d5
[ "MIT" ]
null
null
null
flow65/wing_tool.py
corygoates/Flow65
148eddaeeed8711eae37a16820215c89f93f01d5
[ "MIT" ]
null
null
null
flow65/wing_tool.py
corygoates/Flow65
148eddaeeed8711eae37a16820215c89f93f01d5
[ "MIT" ]
null
null
null
import sys import json import numpy as np import matplotlib.pyplot as plt class Wing: """A class for modeling a finite wing using the sine-series solution to Prandtl's lifting-line equation. Parameters ---------- planform : str May be "elliptic" or "tapered". b : float Wingspan....
36.227723
197
0.583903
2,342
14,636
3.382579
0.125534
0.031558
0.018177
0.01641
0.29336
0.206766
0.163974
0.120172
0.094168
0.086342
0
0.030131
0.253963
14,636
404
198
36.227723
0.695393
0.185023
0
0.119658
0
0
0.102032
0.00198
0
0
0
0
0
1
0.029915
false
0.004274
0.017094
0
0.051282
0.205128
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
0
1
0
0005a7c39d8aea447086a691df1fb17b38ca23eb
927
py
Python
UAC.py
weareblahs/wsa-auto-install
0633d2b4e36ba50ddbe5b16505b8a09ff764df26
[ "MIT" ]
76
2021-10-29T23:41:26.000Z
2021-12-09T06:31:04.000Z
UAC.py
weareblahs/wsa-auto-install
0633d2b4e36ba50ddbe5b16505b8a09ff764df26
[ "MIT" ]
7
2021-11-10T19:05:26.000Z
2021-12-07T15:53:43.000Z
UAC.py
weareblahs/wsa-auto-install
0633d2b4e36ba50ddbe5b16505b8a09ff764df26
[ "MIT" ]
16
2021-11-06T06:17:58.000Z
2021-12-08T22:08:24.000Z
def elevate(): import ctypes, win32com, win32event, win32process, os, sys outpath = r'%s\%s.out' % (os.environ["TEMP"], os.path.basename(__file__)) if ctypes.windll.shell32.IsUserAnAdmin(): if os.path.isfile(outpath): sys.stderr = sys.stdout = open(outpath, 'w', 0) return wit...
38.625
91
0.593312
105
927
5.12381
0.590476
0.022305
0.05948
0.070632
0
0
0
0
0
0
0
0.036928
0.269687
927
24
92
38.625
0.757755
0
0
0.086957
0
0
0.040948
0
0
0
0.005388
0
0
1
0.043478
false
0
0.043478
0
0.130435
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
0
0
1
0
0006b94d0b62d69c3ab03500298cb1fb2775bd17
629
py
Python
etikihead/urls.py
hodeld/etiki-prototype1
bcae893423519f6ddfa4f67b980066e04062d9f3
[ "MIT" ]
1
2019-08-31T18:04:39.000Z
2019-08-31T18:04:39.000Z
etikihead/urls.py
hodeld/etiki-prototype1
bcae893423519f6ddfa4f67b980066e04062d9f3
[ "MIT" ]
19
2019-12-12T01:38:49.000Z
2022-03-12T00:26:14.000Z
etikihead/urls.py
hodeld/etiki-prototype1
bcae893423519f6ddfa4f67b980066e04062d9f3
[ "MIT" ]
null
null
null
from django.urls import path from django.conf import settings from django.conf.urls.static import static from . import views app_name = 'etikihead' urlpatterns = [ path('', views.entry_mask, name='entrymask'), path('contact/', views.contact, name='contact'), path('privacy/', views.privacy, name='privac...
26.208333
61
0.658188
78
629
5.282051
0.320513
0.072816
0.067961
0
0
0
0
0
0
0
0
0
0.151033
629
23
62
27.347826
0.771536
0
0
0
0
0
0.197452
0
0
0
0
0
0
1
0
false
0
0.25
0
0.25
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
0
0
1
0
0007473466f54c5bf5a586f0d058eba177c13018
1,070
py
Python
test_proj/test_tcA002.py
leeltib/vizsgamunka_ref
59dc64d499c32a548a6e83c251cf16e2787e8672
[ "MIT" ]
null
null
null
test_proj/test_tcA002.py
leeltib/vizsgamunka_ref
59dc64d499c32a548a6e83c251cf16e2787e8672
[ "MIT" ]
null
null
null
test_proj/test_tcA002.py
leeltib/vizsgamunka_ref
59dc64d499c32a548a6e83c251cf16e2787e8672
[ "MIT" ]
null
null
null
# TC002 test case - Login in with new user data - exit import data.data_tcA002 as da02 import func.func_01 as fu01 from selenium import webdriver from selenium.webdriver.common.by import By import time from selenium.webdriver.chrome.options import Options from webdriver_manager.chrome import ChromeDriverManager opti...
23.26087
91
0.675701
134
1,070
5.216418
0.544776
0.051502
0.060086
0
0
0
0
0
0
0
0
0.046256
0.151402
1,070
45
92
23.777778
0.723568
0.171028
0
0
0
0
0.0876
0
0
0
0
0
0.04
1
0.04
false
0.04
0.28
0
0.36
0.08
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
000803fab8613a18bfb601cb4e0f3433d97e4dce
966
py
Python
lisc/tests/test_data_utils.py
jasongfleischer/lisc
ed30be957d7ce13ccbac51092990869840e6f176
[ "Apache-2.0" ]
1
2020-05-11T18:36:16.000Z
2020-05-11T18:36:16.000Z
lisc/tests/test_data_utils.py
jasongfleischer/lisc
ed30be957d7ce13ccbac51092990869840e6f176
[ "Apache-2.0" ]
null
null
null
lisc/tests/test_data_utils.py
jasongfleischer/lisc
ed30be957d7ce13ccbac51092990869840e6f176
[ "Apache-2.0" ]
null
null
null
"""Tests for the data utilities from lisc.""" from lisc.data.utils import * ################################################################################################### ################################################################################################### def test_count_elements(): tdat = ['...
23.560976
99
0.471014
105
966
4.161905
0.361905
0.064073
0.077803
0.064073
0
0
0
0
0
0
0
0.002541
0.1853
966
40
100
24.15
0.552732
0.040373
0
0.095238
0
0
0.113416
0
0
0
0
0
0.285714
1
0.190476
false
0
0.047619
0
0.238095
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
0
0
1
0
0008876f23a1dced29f967f65132c7d09b0756dc
2,316
py
Python
repos/system_upgrade/el8toel9/actors/firewalldcheckallowzonedrifting/actor.py
tmds/leapp-repository
7c9ea115a68530eb25f5c23d3fcadd60c501bf78
[ "Apache-2.0" ]
null
null
null
repos/system_upgrade/el8toel9/actors/firewalldcheckallowzonedrifting/actor.py
tmds/leapp-repository
7c9ea115a68530eb25f5c23d3fcadd60c501bf78
[ "Apache-2.0" ]
1
2022-03-07T15:34:11.000Z
2022-03-07T15:35:15.000Z
repos/system_upgrade/el8toel9/actors/firewalldcheckallowzonedrifting/actor.py
tmds/leapp-repository
7c9ea115a68530eb25f5c23d3fcadd60c501bf78
[ "Apache-2.0" ]
null
null
null
from leapp import reporting from leapp.actors import Actor from leapp.models import FirewalldGlobalConfig, FirewallsFacts from leapp.reporting import create_report, Report from leapp.tags import ChecksPhaseTag, IPUWorkflowTag class FirewalldCheckAllowZoneDrifting(Actor): """ This actor will check if AllowZone...
44.538462
91
0.642055
240
2,316
6.15
0.470833
0.030488
0.01897
0.02168
0.056911
0.028455
0
0
0
0
0
0.00538
0.277634
2,316
51
92
45.411765
0.876868
0.189983
0
0.058824
0
0
0.258798
0.075799
0
0
0
0
0
1
0.029412
false
0
0.147059
0
0.382353
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
0
0
1
0
0009620a33b624fda2004552df089e8ea26f0972
665
py
Python
eeve/eeve actions/list_dir.py
vMarcelino/eeve
7dcfa17d34480f5c120ce963680babffff8ab412
[ "Apache-2.0" ]
1
2019-10-11T18:42:48.000Z
2019-10-11T18:42:48.000Z
eeve/eeve actions/list_dir.py
vMarcelino/eeve
7dcfa17d34480f5c120ce963680babffff8ab412
[ "Apache-2.0" ]
null
null
null
eeve/eeve actions/list_dir.py
vMarcelino/eeve
7dcfa17d34480f5c120ce963680babffff8ab412
[ "Apache-2.0" ]
1
2019-10-11T18:42:49.000Z
2019-10-11T18:42:49.000Z
import os def run(path: str, return_full_path: bool = False): """Gets all files and folders from a path and stores them into $file_list Arguments: path {str} -- The path to get files and folders from Keyword Arguments: return_full_path {bool} -- True to return the full path of th...
27.708333
124
0.627068
98
665
4.163265
0.459184
0.078431
0.102941
0.088235
0
0
0
0
0
0
0
0
0.276692
665
23
125
28.913043
0.848233
0.518797
0
0
0
0
0.062271
0
0
0
0
0
0
1
0.125
false
0
0.125
0
0.375
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
0
0
1
0
0009cacc81bd5d1ceb8972e6ec2ff4235cfdb2ad
11,938
py
Python
tests/test_workspaces.py
jeokrohn/wxc_sdk
e28b7e0f870d17b7f9a79ad9a4b8af221e58f8e9
[ "MIT" ]
null
null
null
tests/test_workspaces.py
jeokrohn/wxc_sdk
e28b7e0f870d17b7f9a79ad9a4b8af221e58f8e9
[ "MIT" ]
null
null
null
tests/test_workspaces.py
jeokrohn/wxc_sdk
e28b7e0f870d17b7f9a79ad9a4b8af221e58f8e9
[ "MIT" ]
1
2022-03-29T18:56:59.000Z
2022-03-29T18:56:59.000Z
""" Test for workspaces API """ # TODO: tests for authorization codes import random from collections.abc import Generator from concurrent.futures import ThreadPoolExecutor from contextlib import contextmanager from wxc_sdk.rest import RestError from wxc_sdk.all_types import * from .base import TestCaseWithLog TEST_WO...
43.410909
116
0.627576
1,399
11,938
5.13867
0.149392
0.045625
0.050633
0.060787
0.594102
0.542774
0.501182
0.496453
0.475588
0.415774
0
0.017116
0.295276
11,938
274
117
43.569343
0.837395
0.128916
0
0.469945
0
0
0.059267
0.013875
0
0
0
0.00365
0.087432
1
0.076503
false
0
0.038251
0
0.147541
0.032787
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
0
1
0
000aa2371b1616577368d0ba5de43105bfebe942
1,935
py
Python
openpose/data/parse_tfrecord.py
calmisential/Pose_Estimation
f3546fcfdc81ef60708fbda5fc1eb499679fff2f
[ "MIT" ]
null
null
null
openpose/data/parse_tfrecord.py
calmisential/Pose_Estimation
f3546fcfdc81ef60708fbda5fc1eb499679fff2f
[ "MIT" ]
null
null
null
openpose/data/parse_tfrecord.py
calmisential/Pose_Estimation
f3546fcfdc81ef60708fbda5fc1eb499679fff2f
[ "MIT" ]
null
null
null
import tensorflow as tf import glob from configuration import OpenPoseCfg as cfg from openpose.data.augmentation import Transformer def get_tfrecord_filenames(path): print("从"+path+"中提取TFRecords文件:") tfrecord_files = glob.glob(path + "*") tfrecord_files.sort() if not tfrecord_files: raise Va...
34.553571
106
0.724548
242
1,935
5.533058
0.27686
0.083645
0.076176
0.0941
0.302465
0.278566
0.233757
0.171023
0.171023
0.134429
0
0
0.186047
1,935
56
107
34.553571
0.850159
0.013437
0
0.04878
0
0
0.023585
0
0
0
0
0
0
1
0.121951
false
0
0.097561
0
0.341463
0.04878
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
0
1
0
000df0f38e45fa3a6986ef9af7fbf9e539d0a092
689
py
Python
gbdxtools/images/quickbird.py
matthewhanson/gbdxtools
f07fed2ea2b8d62845f6cf83c3947d0c2a4c6daf
[ "MIT" ]
81
2016-04-05T23:32:46.000Z
2022-01-02T21:21:09.000Z
gbdxtools/images/quickbird.py
matthewhanson/gbdxtools
f07fed2ea2b8d62845f6cf83c3947d0c2a4c6daf
[ "MIT" ]
624
2016-04-06T22:22:01.000Z
2022-01-03T17:48:50.000Z
gbdxtools/images/quickbird.py
matthewhanson/gbdxtools
f07fed2ea2b8d62845f6cf83c3947d0c2a4c6daf
[ "MIT" ]
66
2016-04-13T22:45:37.000Z
2022-01-03T18:03:26.000Z
from gbdxtools.images.worldview import WorldViewImage from gbdxtools.images.geoeye01 import GeoEyeDriver from gbdxtools.images.util import vector_services_query band_types = { 'MS': 'BGRN', 'Panchromatic': 'PAN', 'Pan': 'PAN', 'pan': 'PAN' } class QB02Driver(GeoEyeDriver): pass class QB02(WorldVi...
25.518519
93
0.690856
78
689
5.858974
0.576923
0.052516
0.124726
0.052516
0
0
0
0
0
0
0
0.019964
0.20029
689
26
94
26.5
0.809437
0
0
0
0
0
0.172714
0.081277
0
0
0
0
0
1
0.095238
false
0.047619
0.142857
0.047619
0.47619
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
0
0
1
0
000f226aca878e3b01ee23b36d3e3744fe747d69
1,137
py
Python
fastISM/models/bpnet.py
kundajelab/fastISM
1573feccba1ad5d9f1cee508f5bb03c4aa09bb2b
[ "MIT" ]
12
2020-09-20T17:03:48.000Z
2022-03-16T06:51:52.000Z
fastISM/models/bpnet.py
kundajelab/fastISM
1573feccba1ad5d9f1cee508f5bb03c4aa09bb2b
[ "MIT" ]
5
2020-10-24T20:43:45.000Z
2022-02-25T19:40:47.000Z
fastISM/models/bpnet.py
kundajelab/fastISM
1573feccba1ad5d9f1cee508f5bb03c4aa09bb2b
[ "MIT" ]
2
2020-10-14T05:18:55.000Z
2022-02-21T07:34:14.000Z
import tensorflow as tf def bpnet_model(seqlen=1000, numchars=4, num_dilated_convs=9, num_tasks=1, name='bpnet_model'): # original as per https://www.biorxiv.org/content/10.1101/737981v1.full.pdf inp = tf.keras.layers.Input(shape=(seqlen, 4)) x = tf.keras.layers.Conv1D( 64, kernel_...
34.454545
88
0.62533
158
1,137
4.405063
0.455696
0.100575
0.168103
0.060345
0.166667
0.091954
0.091954
0.091954
0
0
0
0.047891
0.228672
1,137
32
89
35.53125
0.745724
0.102023
0
0
0
0
0.030512
0
0
0
0
0
0
1
0.047619
false
0
0.047619
0
0.142857
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
0
0
1
0
000fb685fc9f26f073890df0d180e999e12bb012
801
py
Python
leetcode/108-Convert-Sorted-Array-To-Binary-Search-Tree/answer.py
vaishali-bariwal/Practice-Coding-Questions
747bfcb1cb2be5340daa745f2b9938f0ee87c9ac
[ "Unlicense" ]
25
2018-05-22T15:18:50.000Z
2022-01-08T02:41:46.000Z
leetcode/108-Convert-Sorted-Array-To-Binary-Search-Tree/answer.py
vaishali-bariwal/Practice-Coding-Questions
747bfcb1cb2be5340daa745f2b9938f0ee87c9ac
[ "Unlicense" ]
1
2019-05-24T16:55:27.000Z
2019-05-24T16:55:27.000Z
leetcode/108-Convert-Sorted-Array-To-Binary-Search-Tree/answer.py
vaishali-bariwal/Practice-Coding-Questions
747bfcb1cb2be5340daa745f2b9938f0ee87c9ac
[ "Unlicense" ]
18
2018-09-20T15:39:26.000Z
2022-03-02T21:38:22.000Z
#!/usr/bin/env python3 #------------------------------------------------------------------------------- # Definition for a binary tree node. # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution: def sortedArrayToBST(self, nums)...
27.62069
80
0.400749
75
801
4.226667
0.493333
0.085174
0
0
0
0
0
0
0
0
0
0.010772
0.304619
801
28
81
28.607143
0.558348
0.469413
0
0
0
0
0
0
0
0
0
0
0
1
0.2
false
0
0
0
0.5
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0011bad4390288b5a901919fe11d0ebf83273af9
596
py
Python
tests/test_filter.py
rdemaria/xpart
35fe06eeb508991dfe1dd23685331f8347d0b603
[ "MIT" ]
1
2021-09-07T14:34:10.000Z
2021-09-07T14:34:10.000Z
tests/test_filter.py
rdemaria/xpart
35fe06eeb508991dfe1dd23685331f8347d0b603
[ "MIT" ]
null
null
null
tests/test_filter.py
rdemaria/xpart
35fe06eeb508991dfe1dd23685331f8347d0b603
[ "MIT" ]
5
2021-11-04T08:23:43.000Z
2022-03-16T10:34:23.000Z
import numpy as np import xobjects as xo import xpart as xp def test_basics(): for context in xo.context.get_test_contexts(): print(f"Test {context.__class__}") p1 = xp.Particles(x=[1,2,3], px=[10, 20, 30], mass0=xp.ELECTRON_MASS_EV, _context=co...
25.913043
56
0.552013
83
596
3.783133
0.53012
0.012739
0.095541
0.121019
0.133758
0
0
0
0
0
0
0.059113
0.318792
596
22
57
27.090909
0.714286
0
0
0
0
0
0.052013
0
0
0
0
0
0.25
1
0.0625
false
0
0.1875
0
0.25
0.0625
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
0
1
0
001513d4c6890aca681f0ade18ed556b34353f85
4,550
py
Python
main.py
NimaVahdat/Image-Categorization
4addce895b14c0c663e3ee317ffcd802b774452b
[ "MIT" ]
null
null
null
main.py
NimaVahdat/Image-Categorization
4addce895b14c0c663e3ee317ffcd802b774452b
[ "MIT" ]
null
null
null
main.py
NimaVahdat/Image-Categorization
4addce895b14c0c663e3ee317ffcd802b774452b
[ "MIT" ]
null
null
null
from utils.loader import Loader from utils.model import DeepSNN import torch import os def feature_extraction(prop): name = prop["name"] epochs_l1 = prop["epochs_l1"] epochs_l2 = prop["epochs_l2"] trainset, testset = Loader(name) model = DeepSNN(prop) # Training The First...
28.980892
86
0.575824
605
4,550
4.147107
0.247934
0.025907
0.043842
0.047828
0.479075
0.437625
0.392188
0.376246
0.274213
0.259864
0
0.042404
0.27956
4,550
157
87
28.980892
0.723002
0.112527
0
0.281553
0
0
0.118486
0
0
0
0
0
0
1
0.038835
false
0
0.067961
0
0.135922
0.116505
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
0
1
0
001659507468ba211846a086bb3af6d259d15e23
409
py
Python
1704-determine-if-string-halves-are-alike/1704-determine-if-string-halves-are-alike.py
hyeseonko/LeetCode
48dfc93f1638e13041d8ce1420517a886abbdc77
[ "MIT" ]
2
2021-12-05T14:29:06.000Z
2022-01-01T05:46:13.000Z
1704-determine-if-string-halves-are-alike/1704-determine-if-string-halves-are-alike.py
hyeseonko/LeetCode
48dfc93f1638e13041d8ce1420517a886abbdc77
[ "MIT" ]
null
null
null
1704-determine-if-string-halves-are-alike/1704-determine-if-string-halves-are-alike.py
hyeseonko/LeetCode
48dfc93f1638e13041d8ce1420517a886abbdc77
[ "MIT" ]
null
null
null
class Solution: def halvesAreAlike(self, s: str) -> bool: vowel = {'a', 'e', 'i', 'o', 'u', 'A', 'E', 'I', 'O', 'U'} first = s[:int(len(s)/2)] second = s[int(len(s)/2):] firstsum = sum([1 for f in first if f in vowel]) secondsum = sum([1 for s in second if s in vowel]) ...
37.181818
66
0.484108
61
409
3.245902
0.508197
0.020202
0.030303
0.040404
0.141414
0
0
0
0
0
0
0.014815
0.339853
409
11
67
37.181818
0.718519
0
0
0
0
0
0.02439
0
0
0
0
0
0
1
0.090909
false
0
0
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
0
0
0
0
1
0
00198cc9e3c841bb01a56c333dd3c279b3334a56
9,789
py
Python
honeycomb/worker_bee.py
agrc/honeycomb
a4227221759541b007c2d2a8dcfca5a40192eeff
[ "MIT" ]
1
2018-06-07T13:17:40.000Z
2018-06-07T13:17:40.000Z
honeycomb/worker_bee.py
agrc/honeycomb
a4227221759541b007c2d2a8dcfca5a40192eeff
[ "MIT" ]
24
2017-08-28T19:53:15.000Z
2022-03-28T21:36:37.000Z
honeycomb/worker_bee.py
agrc/honeycomb
a4227221759541b007c2d2a8dcfca5a40192eeff
[ "MIT" ]
null
null
null
#!/usr/bin/env python # * coding: utf8 * ''' worker_bee.py A module that contains logic for building traditional image-based caches. ''' import os import socket import time from os.path import join, dirname, realpath from shutil import rmtree import pygsheets from datetime import date import arcpy from . import con...
42.934211
227
0.635611
1,186
9,789
5.043845
0.250422
0.025744
0.027583
0.025744
0.194584
0.111668
0.071882
0.071882
0.051488
0.036443
0
0.014606
0.251609
9,789
227
228
43.123348
0.801938
0.053632
0
0.138554
0
0.006024
0.167856
0.022604
0
0
0
0
0
1
0.048193
false
0.006024
0.060241
0
0.144578
0.120482
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
0
1
0
00214dc954dea8b8ef76726b14c1872ccfd1e59a
799
py
Python
robotarm/armservice/app.py
AmidBidee/Robot-Arm
cfacfc779b2f025846e9748167bcfb15ce207923
[ "MIT" ]
1
2022-03-27T20:09:10.000Z
2022-03-27T20:09:10.000Z
robotarm/armservice/app.py
AmidBidee/Robot-Arm
cfacfc779b2f025846e9748167bcfb15ce207923
[ "MIT" ]
4
2022-03-25T03:45:10.000Z
2022-03-29T14:31:16.000Z
robotarm/armservice/app.py
AmidBidee/RobotArm
cfacfc779b2f025846e9748167bcfb15ce207923
[ "MIT" ]
null
null
null
#!/usr/bin/python3 """ RobotArm API service config file """ import pathlib from robotarm.armservice.views import api_views from flask import ( Flask, make_response, jsonify ) from robotarm.armservice import getenv # initialize flask app app = Flask(__name__) # register/mount blueprint app.register_bluepri...
17.755556
47
0.677096
104
799
4.971154
0.548077
0.011605
0.085106
0
0
0
0
0
0
0
0
0.023659
0.206508
799
44
48
18.159091
0.791798
0.254068
0
0
0
0
0.102888
0
0
0
0
0
0
1
0.047619
false
0
0.190476
0
0.285714
0.047619
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
0
1
0
0023e5b95c57b280f82e4d979d1eecb37cba4ae9
4,685
py
Python
xbrr/edinet/reader/element_schema.py
5laps2go/xbrr
4c0824b53bfe971111d60e6c1ff4e36f4f4845a3
[ "MIT" ]
null
null
null
xbrr/edinet/reader/element_schema.py
5laps2go/xbrr
4c0824b53bfe971111d60e6c1ff4e36f4f4845a3
[ "MIT" ]
null
null
null
xbrr/edinet/reader/element_schema.py
5laps2go/xbrr
4c0824b53bfe971111d60e6c1ff4e36f4f4845a3
[ "MIT" ]
null
null
null
from xbrr.base.reader.base_element_schema import BaseElementSchema from bs4.element import NavigableString, Tag import bs4 class ElementSchema(BaseElementSchema): def __init__(self, name="", reference="", label="", alias="", abstract="", data_type="", period_type...
41.096491
229
0.56841
517
4,685
4.998066
0.253385
0.03096
0.02322
0.017415
0.093653
0.020124
0.020124
0
0
0
0
0.024876
0.313554
4,685
113
230
41.460177
0.778607
0.127001
0
0.11236
0
0
0.104683
0
0
0
0
0
0.022472
1
0.089888
false
0
0.033708
0.011236
0.191011
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
0
0
1
0
0024cde788e4fc1c63bad501dddfdfc712994f43
817
py
Python
app/models.py
james-muriithi/news-hub
6f0fee2ab6be5bba86c4309050592e000859f8db
[ "Unlicense" ]
null
null
null
app/models.py
james-muriithi/news-hub
6f0fee2ab6be5bba86c4309050592e000859f8db
[ "Unlicense" ]
null
null
null
app/models.py
james-muriithi/news-hub
6f0fee2ab6be5bba86c4309050592e000859f8db
[ "Unlicense" ]
null
null
null
from datetime import datetime class Sources: """ Sources class to define sources object """ def __init__(self, id, name, description, url, category, country): self.id = id self.name = name self.description = description self.url = url self.category = category ...
27.233333
103
0.623011
99
817
4.969697
0.333333
0.042683
0.060976
0.069106
0.162602
0.162602
0.162602
0
0
0
0
0
0.274174
817
30
103
27.233333
0.82968
0.096695
0
0.222222
0
0
0.038136
0
0
0
0
0
0
1
0.111111
false
0
0.055556
0
0.277778
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
002d82da21503f07067ace5a4397c6b6011e7cc0
4,709
py
Python
pybps/preprocess/trnsys.py
dtavan/PyBPS
92bd063daed78a7fcff1af954d7d90d0cde8dcfc
[ "BSD-3-Clause" ]
9
2015-03-12T15:23:42.000Z
2021-12-21T13:01:42.000Z
pybps/preprocess/trnsys.py
dtavan/PyBPS
92bd063daed78a7fcff1af954d7d90d0cde8dcfc
[ "BSD-3-Clause" ]
3
2015-09-20T17:31:09.000Z
2018-02-26T13:11:53.000Z
pybps/preprocess/trnsys.py
dtavan/PyBPS
92bd063daed78a7fcff1af954d7d90d0cde8dcfc
[ "BSD-3-Clause" ]
3
2019-02-14T08:13:03.000Z
2020-12-10T07:04:41.000Z
""" A set of functions required to pre-process TRNSYS simulation input files """ # Common imports import os import sys import shutil import re # Custom imports from pybps import util # Handle Python 2/3 compatibility from six.moves import configparser import six if six.PY2: ConfigParser = configparser.SafeConfigP...
31.393333
86
0.601826
607
4,709
4.546952
0.288303
0.039855
0.025362
0.022826
0.213406
0.161594
0.142754
0.121014
0.121014
0.032609
0
0.010593
0.298365
4,709
149
87
31.604027
0.824758
0.346358
0
0.263889
0
0
0.082168
0.017047
0
0
0
0
0
1
0.041667
false
0
0.097222
0
0.152778
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
0
0
1
0
002fac18e96ba58a8fc58e5945a2e85038de81e9
1,650
py
Python
gof/console.py
jul/game_of_life
0ffb798679f50dea27b55f8a630c437b6ee4d8f9
[ "Python-2.0" ]
1
2015-01-13T13:42:32.000Z
2015-01-13T13:42:32.000Z
gof/console.py
jul/game_of_life
0ffb798679f50dea27b55f8a630c437b6ee4d8f9
[ "Python-2.0" ]
null
null
null
gof/console.py
jul/game_of_life
0ffb798679f50dea27b55f8a630c437b6ee4d8f9
[ "Python-2.0" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- """Game of Life console. small play ground for leanning python, or just having fun. To use the console with an empty grid: python -i -mgof.console or bpython -i -mgof.console To use the console with a pseudo animation: python -i -mgof.demo Avalailble varia...
28.448276
79
0.693939
254
1,650
4.405512
0.444882
0.013405
0.029491
0.02681
0.144772
0.064343
0
0
0
0
0
0.003765
0.195152
1,650
57
80
28.947368
0.838855
0.661818
0
0.111111
0
0
0.283122
0
0
0
0
0
0
1
0.055556
false
0
0.222222
0
0.277778
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
0
0
0
0
1
0
00316d362ddde2a4019229bccffbafd03e33e693
1,129
py
Python
covid19uk/data/tier_data_test.py
sdwfrost/covid19uk
ffd59342d9daee2d819d2f7211afbe9713880612
[ "MIT" ]
10
2020-03-21T22:36:24.000Z
2021-05-23T22:47:13.000Z
covid19uk/data/tier_data_test.py
sdwfrost/covid19uk
ffd59342d9daee2d819d2f7211afbe9713880612
[ "MIT" ]
14
2020-03-27T19:24:51.000Z
2021-07-21T12:41:23.000Z
covid19uk/data/tier_data_test.py
sdwfrost/covid19uk
ffd59342d9daee2d819d2f7211afbe9713880612
[ "MIT" ]
13
2020-03-21T17:17:20.000Z
2021-05-06T22:50:18.000Z
"""Tests Tier Data""" import numpy as np from covid.data import TierData def test_url_tier_data(): config = { "AreaCodeData": { "input": "json", "address": "https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/LAD_APR_2019_UK_NC/FeatureServer/0/query?where=1%3D1&out...
30.513514
258
0.560673
109
1,129
5.688073
0.761468
0.025806
0
0
0
0
0
0
0
0
0
0.055901
0.28698
1,129
36
259
31.361111
0.714286
0.013286
0
0
0
0.033333
0.440433
0.032491
0
0
0
0
0.033333
1
0.033333
false
0
0.066667
0
0.1
0.033333
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
0
1
0
00333d9d6b82d73d347ef774e208f7a11fd780ab
1,550
py
Python
Baixar um arquivo Excel e mandar o resultado para emails.py
GustavooBueno/Projetos-Python-Automacao
43ec53040cd543746d88e8523fcffbdb69112ab7
[ "MIT" ]
null
null
null
Baixar um arquivo Excel e mandar o resultado para emails.py
GustavooBueno/Projetos-Python-Automacao
43ec53040cd543746d88e8523fcffbdb69112ab7
[ "MIT" ]
null
null
null
Baixar um arquivo Excel e mandar o resultado para emails.py
GustavooBueno/Projetos-Python-Automacao
43ec53040cd543746d88e8523fcffbdb69112ab7
[ "MIT" ]
null
null
null
import pyautogui import time import pyperclip import pandas as pd #pyautogui.displayMousePosition() pyautogui.PAUSE = 1 #Passo 1 #Abrir uma nova aba time.sleep(2) pyautogui.hotkey('ctrl', 't') #Entrar no link do sistema link = "https://drive.google.com/drive/folders/149xknr9JvrlEnhNWO49zPcw0PW5icxga" py...
25
82
0.713548
221
1,550
4.99095
0.457014
0.095195
0.12058
0.072529
0.267452
0.24116
0.210335
0.210335
0.210335
0.210335
0
0.042411
0.132903
1,550
62
83
25
0.778274
0.126452
0
0.355556
0
0
0.325273
0.052262
0
0
0
0
0
1
0
false
0
0.088889
0
0.088889
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
0
0
1
0
00341cca0d8a5cb36317216f72b4964ad336e187
34,289
py
Python
brain_class.py
featureCreacle/Baka-battle
0588216ff08bec1f6d4e0679daa8ac70e7f3d83a
[ "MIT" ]
1
2017-12-23T11:16:35.000Z
2017-12-23T11:16:35.000Z
brain_class.py
featureCreacle/Baka-battle
0588216ff08bec1f6d4e0679daa8ac70e7f3d83a
[ "MIT" ]
null
null
null
brain_class.py
featureCreacle/Baka-battle
0588216ff08bec1f6d4e0679daa8ac70e7f3d83a
[ "MIT" ]
null
null
null
import tkinter import json from math import * from random import * from tkinter import * class brain_abstract(): ''' # один слой это лист туплов: колво нейронов в группе, # плюс(True) или минус(False) на выходе нейронов группы, # номер...
46.906977
143
0.495727
3,746
34,289
4.235718
0.094768
0.030251
0.042352
0.018529
0.496376
0.434172
0.381547
0.349783
0.320413
0.27283
0
0.030444
0.421389
34,289
730
144
46.971233
0.769304
0.08023
0
0.369565
0
0
0.004989
0
0
0
0
0
0
1
0.06689
false
0.005017
0.008361
0.01505
0.135452
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
0
0
1
0
0034f805a844662bdcbee5246fde715c74fdfb46
761
py
Python
xiamiu/urls.py
Vida42/xiamiu
9249a20746d1da050546e3fcdfafbc5ff49ab4d0
[ "Apache-2.0" ]
null
null
null
xiamiu/urls.py
Vida42/xiamiu
9249a20746d1da050546e3fcdfafbc5ff49ab4d0
[ "Apache-2.0" ]
null
null
null
xiamiu/urls.py
Vida42/xiamiu
9249a20746d1da050546e3fcdfafbc5ff49ab4d0
[ "Apache-2.0" ]
null
null
null
from django.urls import path from django.conf.urls import url from . import views urlpatterns = [ path('', views.index, name='home'), url(r'^artist/(?P<inputID>.*?)/$', views.showArtistPage, name='showArtistPage'), url(r'^album/(?P<inputID>.*?)/$', views.showAlbumPage, name='showAlbumPage'), url(r'^so...
44.764706
84
0.672799
87
761
5.885057
0.310345
0.0625
0.101563
0
0
0
0
0
0
0
0
0
0.106439
761
16
85
47.5625
0.752941
0
0
0
0
0
0.350854
0.131406
0
0
0
0
0
1
0
false
0
0.214286
0
0.214286
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
0
0
1
0
00350a7f72c371d77bedf708f8a55456f2d37c38
19,030
py
Python
lib/python/treadmill_aws/formatter.py
Morgan-Stanley/treadmill-aws
4c3d25c477422d83f0cd8dc6851fd02ffa48dcbb
[ "Apache-2.0" ]
6
2018-05-24T17:17:51.000Z
2020-06-06T02:21:59.000Z
lib/python/treadmill_aws/formatter.py
Morgan-Stanley/treadmill-aws
4c3d25c477422d83f0cd8dc6851fd02ffa48dcbb
[ "Apache-2.0" ]
93
2018-04-16T16:14:40.000Z
2019-09-17T22:10:28.000Z
lib/python/treadmill_aws/formatter.py
Morgan-Stanley/treadmill-aws
4c3d25c477422d83f0cd8dc6851fd02ffa48dcbb
[ "Apache-2.0" ]
17
2017-09-29T10:30:47.000Z
2019-01-28T21:52:03.000Z
"""Table CLI formatter. """ from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals import yaml from treadmill.formatter import tablefmt def _sort(unsorted): """Sort list.""" unsorted.sort() return '\n'.join(un...
31.094771
77
0.534314
1,724
19,030
5.692575
0.140951
0.039739
0.020175
0.030467
0.563685
0.525168
0.489097
0.485225
0.466884
0.443754
0
0.001402
0.325328
19,030
611
78
31.145663
0.762988
0.066369
0
0.58114
0
0
0.17641
0.00944
0
0
0
0.001637
0
1
0.065789
false
0
0.013158
0.002193
0.203947
0.002193
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
0
1
0
0035d39504b6fcd873cb06e3d139aa8135704401
10,156
py
Python
src/newt/db/updater.py
bmjjr/db
39d3833f4458fcd20d09f383711745842b5db4f2
[ "MIT" ]
153
2017-01-24T16:55:00.000Z
2022-03-21T08:24:13.000Z
src/newt/db/updater.py
bmjjr/db
39d3833f4458fcd20d09f383711745842b5db4f2
[ "MIT" ]
14
2017-01-25T17:04:49.000Z
2021-12-05T19:26:35.000Z
src/newt/db/updater.py
bmjjr/db
39d3833f4458fcd20d09f383711745842b5db4f2
[ "MIT" ]
16
2017-01-25T07:25:17.000Z
2022-03-21T08:24:16.000Z
from __future__ import print_function """Updates database json representation """ import argparse import itertools import logging import relstorage.adapters.postgresql import relstorage.options import sys from . import pg_connection from . import follow from .jsonpickle import Jsonifier from ._adapter import DELETE_T...
35.760563
79
0.581824
1,198
10,156
4.809683
0.265442
0.017182
0.032454
0.01319
0.21555
0.180493
0.171468
0.161055
0.147171
0.147171
0
0.008814
0.329756
10,156
283
80
35.886926
0.837667
0.026782
0
0.321888
0
0
0.298322
0.007117
0
0
0
0
0.004292
1
0.012876
false
0
0.072961
0
0.128755
0.038627
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
0
1
0
00372000fecac8f61456e1d5394b1e5bd0e18f9f
3,538
py
Python
medtype-trainer/neleval/scripts/merge_evaluations.py
vsocrates/medtype
16c6f39d38a73c4c44258bbdf78074a81e07b1c7
[ "Apache-2.0" ]
113
2015-01-07T14:12:25.000Z
2022-01-21T12:23:57.000Z
medtype-trainer/neleval/scripts/merge_evaluations.py
vsocrates/medtype
16c6f39d38a73c4c44258bbdf78074a81e07b1c7
[ "Apache-2.0" ]
27
2015-02-02T02:45:38.000Z
2018-09-08T10:33:25.000Z
medtype-trainer/neleval/scripts/merge_evaluations.py
vsocrates/medtype
16c6f39d38a73c4c44258bbdf78074a81e07b1c7
[ "Apache-2.0" ]
24
2015-02-16T18:26:48.000Z
2021-05-25T13:23:53.000Z
#!/usr/bin/env python """Merge multiple evaluation files into one with prefixed measure names If directories are given, and --out-dir, will group by filename. Example usage: ./scripts/merge_evaluations.py --label-re='[^/]+/?$' -x eval_merged -l =TEDL2015_neleval-no1331 --out-dir /tmp/foobar tac15data/TEDL2015_nel...
34.349515
218
0.623799
511
3,538
4.209393
0.328767
0.022315
0.036262
0.020921
0.097629
0.039981
0.039981
0
0
0
0
0.012182
0.234313
3,538
102
219
34.686275
0.781838
0.110232
0
0.036145
0
0.012048
0.117479
0
0
0
0
0
0
1
0.024096
false
0
0.084337
0
0.144578
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
0
0
0
0
0
0
0
0
1
0
00373487473f078500f863d310d10f7cf34f3397
11,276
py
Python
IQA_BIECON_release/models/BIECON_base.py
lionzhnn/IQA_BIECON_release
9b9452681460cbd3b670aff62f18c6661a724997
[ "MIT" ]
96
2017-07-25T07:54:59.000Z
2022-01-09T03:33:07.000Z
IQA_BIECON_release/models/BIECON_base.py
lionzhnn/IQA_BIECON_release
9b9452681460cbd3b670aff62f18c6661a724997
[ "MIT" ]
4
2018-04-25T09:46:05.000Z
2019-11-08T12:44:39.000Z
IQA_BIECON_release/models/BIECON_base.py
jongyookim/IQA_BIECON_release
9b9452681460cbd3b670aff62f18c6661a724997
[ "MIT" ]
35
2017-07-25T02:51:22.000Z
2022-02-05T03:05:40.000Z
from __future__ import absolute_import, division, print_function import os import numpy as np import theano.tensor as T from .model_basis import ModelBasis from .model_record import Record from ..layers import layers class Model(ModelBasis): def __init__(self, model_config, rng=None): super...
35.796825
80
0.55321
1,492
11,276
3.845845
0.134048
0.046009
0.054374
0.061345
0.641513
0.585396
0.537121
0.513768
0.500871
0.474033
0
0.01785
0.304452
11,276
314
81
35.910828
0.713757
0.094714
0
0.492891
0
0
0.049809
0
0
0
0
0
0
1
0.061611
false
0
0.033175
0.009479
0.14218
0.028436
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
0
1
0
00388d39e13165d5d68a97cebd954314afba1ff8
908
py
Python
pi4_software/Examples/WSClient.py
stuckatmarine/srauv-sim
30f4bae5d22a4529233ffa2705d7631d048a8130
[ "MIT" ]
1
2020-11-01T13:39:42.000Z
2020-11-01T13:39:42.000Z
pi4_software/Examples/WSClient.py
stuckatmarine/srauv-sim
30f4bae5d22a4529233ffa2705d7631d048a8130
[ "MIT" ]
null
null
null
pi4_software/Examples/WSClient.py
stuckatmarine/srauv-sim
30f4bae5d22a4529233ffa2705d7631d048a8130
[ "MIT" ]
null
null
null
#!/usr/bin/env python # WS client example to test server import asyncio import websockets import json import time async def hello(): uri = "ws://localhost:8001" async with websockets.connect(uri) as websocket: inp = input("Input msg number? ") obj = { "source" : "sim", ...
24.540541
61
0.480176
104
908
4.153846
0.692308
0.064815
0
0
0
0
0
0
0
0
0
0.050435
0.36674
908
37
62
24.540541
0.70087
0.05837
0
0
0
0
0.179157
0
0
0
0
0
0
1
0
false
0
0.137931
0
0.137931
0.068966
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
0
1
0
00389d2165f30aa4a1d559c1fcdd0bbb4c1ad957
1,834
py
Python
scripts/trends.py
iamDyeus/KnickAI
c17d808c949cb3467031498e7252bd2095c04699
[ "MIT" ]
31
2021-11-08T18:42:17.000Z
2022-03-25T07:45:46.000Z
scripts/trends.py
iamDyeus/KnickAI
c17d808c949cb3467031498e7252bd2095c04699
[ "MIT" ]
6
2021-12-20T14:15:44.000Z
2022-03-28T16:19:12.000Z
scripts/trends.py
iamDyeus/KnickAI
c17d808c949cb3467031498e7252bd2095c04699
[ "MIT" ]
3
2021-11-13T09:38:12.000Z
2022-03-25T07:44:17.000Z
#NOT YET WORKING PROPERLY #NOT INTEGRATED WITH THE ASSISTANT YET from pytrends.request import TrendReq # Only need to run this once, the rest of requests will use the same session. pytrend = TrendReq() def trending_searches(): # Get Google Hot Trends data trending_searches = pytrend.trending_...
35.960784
187
0.657034
232
1,834
5.064655
0.422414
0.061277
0.025532
0.030638
0
0
0
0
0
0
0
0.010737
0.238277
1,834
51
188
35.960784
0.830351
0.134678
0
0.060606
0
0.030303
0.278431
0
0
0
0
0
0
1
0.151515
false
0
0.030303
0
0.181818
0.212121
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
0
1
0
00394b6eff0f3c670ab13b288147b361f3297dc6
4,902
py
Python
Speedo/helpers/convert.py
aviskumar/speedo
758e8ac1fdeeb0b72c3a57742032ca5c79f0b2fa
[ "BSD-3-Clause" ]
null
null
null
Speedo/helpers/convert.py
aviskumar/speedo
758e8ac1fdeeb0b72c3a57742032ca5c79f0b2fa
[ "BSD-3-Clause" ]
null
null
null
Speedo/helpers/convert.py
aviskumar/speedo
758e8ac1fdeeb0b72c3a57742032ca5c79f0b2fa
[ "BSD-3-Clause" ]
3
2021-10-12T08:17:01.000Z
2021-12-21T01:17:54.000Z
import os import asyncio import re import requests import time import lottie import PIL.ImageOps from os.path import basename from PIL import Image from typing import Optional from .. import LOGS from ..config import Config from ..utils.extras import edit_or_reply as eor from .progress import * from .runner import r...
33.346939
101
0.625663
611
4,902
4.870704
0.346972
0.020161
0.054435
0.014785
0.130376
0.079301
0.079301
0.05914
0.031586
0.031586
0
0.047075
0.267646
4,902
146
102
33.575342
0.781894
0.077111
0
0.071429
0
0
0.172774
0.067066
0
0
0
0
0
1
0.015873
false
0
0.119048
0
0.206349
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
0
0
1
0
003c4c33a5e695c65aafeb6d426e17f7228d37ef
12,953
py
Python
assemblyline_service_server/api/v1/task.py
CybercentreCanada/assemblyline-service-server
f4fbc7dcab122fa63fcc598db1c23a770c10145f
[ "MIT" ]
6
2020-06-29T14:32:24.000Z
2022-01-03T19:40:39.000Z
assemblyline_service_server/api/v1/task.py
CybercentreCanada/assemblyline-service-server
f4fbc7dcab122fa63fcc598db1c23a770c10145f
[ "MIT" ]
null
null
null
assemblyline_service_server/api/v1/task.py
CybercentreCanada/assemblyline-service-server
f4fbc7dcab122fa63fcc598db1c23a770c10145f
[ "MIT" ]
2
2021-01-15T18:31:17.000Z
2021-05-29T15:57:08.000Z
import time from typing import cast, Dict, Any from flask import request from assemblyline.common import forge from assemblyline.common.constants import SERVICE_STATE_HASH, ServiceStatus from assemblyline.common.dict_utils import flatten, unflatten from assemblyline.common.forge import CachedObject from assemblyline....
42.608553
119
0.63576
1,583
12,953
4.968414
0.18446
0.032168
0.019072
0.024031
0.31583
0.275397
0.221742
0.188938
0.138843
0.114558
0
0.012787
0.263414
12,953
303
120
42.749175
0.81155
0.115649
0
0.211823
0
0
0.123366
0.019075
0
0
0
0
0
1
0.019704
false
0
0.108374
0
0.17734
0.009852
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
0
1
0
003c669ec9b5a285ed0283853c1db390654e252e
3,627
py
Python
install/app_store/tk-framework-qtwidgets/v2.6.5/python/search_completer/global_search_result_delegate.py
JoanAzpeitia/lp_sg
e0ee79555e419dd2ae3a5f31e5515b3f40b22a62
[ "MIT" ]
null
null
null
install/app_store/tk-framework-qtwidgets/v2.6.5/python/search_completer/global_search_result_delegate.py
JoanAzpeitia/lp_sg
e0ee79555e419dd2ae3a5f31e5515b3f40b22a62
[ "MIT" ]
null
null
null
install/app_store/tk-framework-qtwidgets/v2.6.5/python/search_completer/global_search_result_delegate.py
JoanAzpeitia/lp_sg
e0ee79555e419dd2ae3a5f31e5515b3f40b22a62
[ "MIT" ]
1
2020-02-15T10:42:56.000Z
2020-02-15T10:42:56.000Z
# Copyright (c) 2017 Shotgun Software Inc. # # CONFIDENTIAL AND PROPRIETARY # # This work is provided "AS IS" and subject to the Shotgun Pipeline Toolkit # Source Code License included in this distribution package. See LICENSE. # By accessing, using, copying or modifying this work you indicate your # agreement to the S...
38.585106
115
0.650675
441
3,627
5.156463
0.401361
0.036939
0.026385
0.01759
0.240985
0.220756
0.192612
0.159191
0.070361
0
0
0.015504
0.253102
3,627
93
116
39
0.82392
0.355942
0
0.135135
0
0.027027
0.109571
0.033095
0
0
0
0
0
1
0.027027
false
0
0.189189
0
0.243243
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
0
0
1
0
003e8e2269ee664c19971a3c8f0ad03c45a56847
2,485
py
Python
preprocessing/generate_diffs.py
windysavage/dfdc_deepfake_challenge
d10b54cf933282366157a031954b046d87d57009
[ "MIT" ]
null
null
null
preprocessing/generate_diffs.py
windysavage/dfdc_deepfake_challenge
d10b54cf933282366157a031954b046d87d57009
[ "MIT" ]
null
null
null
preprocessing/generate_diffs.py
windysavage/dfdc_deepfake_challenge
d10b54cf933282366157a031954b046d87d57009
[ "MIT" ]
null
null
null
import numpy as np import cv2 from preprocessing.utils import get_original_with_fakes from tqdm import tqdm from multiprocessing.pool import Pool from functools import partial # from skimage.measure import compare_ssim from skimage import metrics import argparse import os os.environ["MKL_NUM_THREADS"] = "1" os.environ...
31.858974
70
0.612475
337
2,485
4.299703
0.37092
0.043478
0.048309
0.026915
0.075914
0.048309
0.034507
0
0
0
0
0.017758
0.274849
2,485
77
71
32.272727
0.786349
0.027364
0
0
0
0
0.071665
0.011185
0
0
0
0
0
1
0.05
false
0
0.15
0
0.216667
0.016667
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
0
1
0
003fa9552b48b33e85beb33eaf261aef70d7ae40
18,905
py
Python
Model/model_v2.py
Insper-Data/data_bcg_news
49986db18095759adea00bb0dedc149acebb683b
[ "MIT" ]
null
null
null
Model/model_v2.py
Insper-Data/data_bcg_news
49986db18095759adea00bb0dedc149acebb683b
[ "MIT" ]
null
null
null
Model/model_v2.py
Insper-Data/data_bcg_news
49986db18095759adea00bb0dedc149acebb683b
[ "MIT" ]
null
null
null
import ast import community import datetime import lightgbm as lgb import math import matplotlib.pyplot as plt import networkx as nx import numpy as np import pandas as pd import pickle import plotly.express as px import os from sklearn.metrics import accuracy_score, confusion_matrix, roc_auc_score from tqdm import tqd...
41.187364
118
0.598678
2,394
18,905
4.477026
0.155806
0.03984
0.042545
0.020899
0.509237
0.474156
0.426759
0.391771
0.358649
0.334018
0
0.006843
0.288865
18,905
458
119
41.277293
0.790241
0.029992
0
0.256906
0
0.005525
0.087622
0.023428
0
0
0
0.00655
0
1
0.049724
false
0
0.041436
0
0.096685
0.046961
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
0
1
0
0044e564b42a943f2371101ac16d4cb0e1aee8d7
42,840
py
Python
roosterize/data/DataMiner.py
EngineeringSoftware/roosterize
2990f7bdef8889045a26f3e9aaaca96d9c92e0bc
[ "MIT" ]
16
2020-06-05T20:01:56.000Z
2022-02-09T16:10:09.000Z
roosterize/data/DataMiner.py
EngineeringSoftware/roosterize
2990f7bdef8889045a26f3e9aaaca96d9c92e0bc
[ "MIT" ]
6
2020-07-02T15:22:36.000Z
2020-12-16T13:04:16.000Z
roosterize/data/DataMiner.py
EngineeringSoftware/roosterize
2990f7bdef8889045a26f3e9aaaca96d9c92e0bc
[ "MIT" ]
3
2020-07-21T17:37:51.000Z
2020-12-10T05:36:32.000Z
from typing import * import collections import copy import hashlib import math import numpy as np from pathlib import Path import random import re from tqdm import tqdm import traceback import sys from seutil import LoggingUtils, IOUtils, BashUtils from seutil.project import Project from roosterize.data.CoqDocument ...
49.016018
259
0.639519
5,252
42,840
4.977342
0.091013
0.015799
0.012356
0.00964
0.568226
0.487778
0.442179
0.404078
0.368922
0.348992
0
0.008656
0.266527
42,840
873
260
49.072165
0.823277
0.086835
0
0.352313
0
0.021352
0.121117
0.027954
0
0
0
0
0.003559
1
0.030249
false
0
0.049822
0.001779
0.140569
0.001779
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
0
1
0
00464d29c3ee1cf1c9de61907d49f9253edbd2f3
965
py
Python
venv/Lib/site-packages/gensim/similarities/__init__.py
saritmaitra/nlp_ner_topic_modeling
70914b4ae4cd7d3b9cb10776161132216394883c
[ "MIT" ]
3
2021-03-29T19:21:08.000Z
2021-12-31T09:30:11.000Z
VisionAPI/lib/python3.8/site-packages/gensim/similarities/__init__.py
aniruddhakj/AnswerScriptEvaluation
7b039b84355ecda1d55dc037ccfc4a4d661ad5e3
[ "BSD-3-Clause" ]
1
2021-08-30T08:53:09.000Z
2021-08-30T08:53:09.000Z
venv/Lib/site-packages/gensim/similarities/__init__.py
saritmaitra/nlp_ner_topic_modeling
70914b4ae4cd7d3b9cb10776161132216394883c
[ "MIT" ]
1
2021-03-30T05:02:53.000Z
2021-03-30T05:02:53.000Z
""" This package contains implementations of pairwise similarity queries. """ # bring classes directly into package namespace, to save some typing import warnings try: import Levenshtein # noqa:F401 except ImportError: msg = ( "The gensim.similarities.levenshtein submodule is disabled, because the opt...
32.166667
95
0.741969
91
965
7.868132
0.681319
0.044693
0.039106
0
0
0
0
0
0
0
0
0.015287
0.186529
965
29
96
33.275862
0.896815
0.18342
0
0
0
0
0.319588
0.039948
0
0
0
0
0
1
0
false
0
0.25
0
0.25
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
0
0
1
0
004abcc62f87b11013e726a8b69a3c514744935d
1,858
py
Python
src/PIDController.py
methylDragon/momo-emotions
137161632cc45227884d1a7a46dbd75d261de371
[ "BSD-2-Clause" ]
11
2019-05-24T00:25:59.000Z
2021-05-17T07:08:58.000Z
src/PIDController.py
methylDragon/momo-emotions
137161632cc45227884d1a7a46dbd75d261de371
[ "BSD-2-Clause" ]
null
null
null
src/PIDController.py
methylDragon/momo-emotions
137161632cc45227884d1a7a46dbd75d261de371
[ "BSD-2-Clause" ]
10
2019-06-21T02:38:45.000Z
2021-07-07T04:50:39.000Z
import time class PIDController: def __init__(self, Kp=0.25, Ki=0.0, Kd=0.0, anti_windup=10.0, cmd_freq=0.0): self.Kp = Kp self.Ki = Ki self.Kd = Kd # Set max integral correction per timestep self.anti_windup = anti_windup # Set delay between updates (seconds) ...
27.731343
80
0.595264
248
1,858
4.229839
0.209677
0.104862
0.093422
0.114395
0.326978
0.188751
0.137274
0.13346
0.13346
0.13346
0
0.017336
0.317008
1,858
66
81
28.151515
0.809299
0.104413
0
0.142857
0
0
0
0
0
0
0
0
0
1
0.166667
false
0
0.02381
0
0.238095
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
0
0
1
0
004b29aa8664031730012b088eba2ecb4c151bb6
1,420
py
Python
tilty/emitters/sqlite.py
heresurpizza/tilty
758fc2513b5fb660ac11163941340e4c10f61081
[ "MIT" ]
13
2020-02-27T03:07:50.000Z
2022-01-02T20:01:57.000Z
tilty/emitters/sqlite.py
heresurpizza/tilty
758fc2513b5fb660ac11163941340e4c10f61081
[ "MIT" ]
10
2020-03-04T14:57:59.000Z
2021-07-23T03:54:17.000Z
tilty/emitters/sqlite.py
heresurpizza/tilty
758fc2513b5fb660ac11163941340e4c10f61081
[ "MIT" ]
8
2020-03-15T02:23:10.000Z
2020-11-25T12:42:37.000Z
# -*- coding: utf-8 -*- """ SQLite emitter """ import logging import sqlite3 LOGGER = logging.getLogger() def __type__() -> str: return 'SQLite' class SQLite: # pylint: disable=too-few-public-methods """ SQLite wrapper class """ def __init__(self, config: dict) -> None: """ Initializer ...
26.792453
73
0.527465
142
1,420
5.169014
0.542254
0.065395
0.051771
0.06267
0
0
0
0
0
0
0
0.007634
0.354225
1,420
52
74
27.307692
0.792803
0.229577
0
0
0
0
0.409852
0.023645
0
0
0
0
0
1
0.103448
false
0
0.068966
0.034483
0.241379
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
0
0
1
0
004de3fdbd877d9dca8c67922ef30d1cf30e4c3c
6,043
py
Python
IFishFarm.py
HussamElden/IFishFarm
c49acc997229b9ae0649d9e4765255cb2db02bfc
[ "CECILL-B" ]
1
2021-08-03T13:24:38.000Z
2021-08-03T13:24:38.000Z
IFishFarm.py
HussamElden/IFishFarm
c49acc997229b9ae0649d9e4765255cb2db02bfc
[ "CECILL-B" ]
null
null
null
IFishFarm.py
HussamElden/IFishFarm
c49acc997229b9ae0649d9e4765255cb2db02bfc
[ "CECILL-B" ]
2
2021-01-12T11:25:11.000Z
2022-03-11T21:25:53.000Z
import cv2 import numpy as np from numpy.linalg import norm import math import csv from operator import itemgetter from datetime import datetime import VideoEnhancement import fishpredictor import detector import kmeancluster import preproccesing import randomforst cluster = kmeancluster.kmeans() classifier = randomfo...
35.547059
133
0.529869
721
6,043
4.223301
0.273232
0.055172
0.076847
0.055172
0.197701
0.128736
0.120854
0.10312
0.10312
0.10312
0
0.02855
0.350819
6,043
170
134
35.547059
0.747642
0.032269
0
0.25
0
0
0.024144
0
0
0
0.000685
0
0
1
0
false
0
0.090278
0
0.090278
0.027778
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
0
1
0