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
b74d8e9763f51be71d9332444a4477006848a8de
1,301
py
Python
main/urls.py
guinslym/django-Django-Code-Review-CodeEntrepreneurs
2ad9bd3d352f7eba46e16a7bf24e06b809049d62
[ "BSD-3-Clause" ]
2
2017-07-31T13:52:40.000Z
2017-09-19T15:07:09.000Z
main/urls.py
guinslym/Django-Code-Review-CodeEntrepreneurs
2ad9bd3d352f7eba46e16a7bf24e06b809049d62
[ "BSD-3-Clause" ]
null
null
null
main/urls.py
guinslym/Django-Code-Review-CodeEntrepreneurs
2ad9bd3d352f7eba46e16a7bf24e06b809049d62
[ "BSD-3-Clause" ]
null
null
null
# -*- coding: utf-8 -*- from django.conf import settings from django.contrib import admin from django.conf.urls.static import static from django.conf.urls.i18n import i18n_patterns from django.views.decorators.cache import cache_page from django.conf.urls import url, include, handler404, handler500 admin.autodiscover(...
27.104167
69
0.687164
151
1,301
5.807947
0.337748
0.031927
0.063854
0.061574
0.086659
0
0
0
0
0
0
0.021495
0.177556
1,301
48
70
27.104167
0.798131
0.152191
0
0.147059
0
0
0.193254
0.0866
0
0
0
0
0
1
0
false
0
0.235294
0
0.235294
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b751a3b9de29d209e3c48a06bc158c7966ca65b5
1,110
py
Python
basicts/archs/AGCRN_arch/AGCRNCell.py
zezhishao/GuanCang_BasicTS
bbf82b9d08e82db78d4e9e9b11f43a676b54ad7c
[ "Apache-2.0" ]
3
2022-02-22T12:50:08.000Z
2022-03-13T03:38:46.000Z
basicts/archs/AGCRN_arch/AGCRNCell.py
zezhishao/GuanCang_BasicTS
bbf82b9d08e82db78d4e9e9b11f43a676b54ad7c
[ "Apache-2.0" ]
null
null
null
basicts/archs/AGCRN_arch/AGCRNCell.py
zezhishao/GuanCang_BasicTS
bbf82b9d08e82db78d4e9e9b11f43a676b54ad7c
[ "Apache-2.0" ]
null
null
null
import torch import torch.nn as nn from basicts.archs.AGCRN_arch.AGCN import AVWGCN class AGCRNCell(nn.Module): def __init__(self, node_num, dim_in, dim_out, cheb_k, embed_dim): super(AGCRNCell, self).__init__() self.node_num = node_num self.hidden_dim = dim_out self.gate ...
42.692308
81
0.648649
172
1,110
3.906977
0.313953
0.080357
0.096726
0.049107
0.224702
0.15625
0
0
0
0
0
0.005889
0.235135
1,110
26
82
42.692308
0.78563
0.051351
0
0
0
0
0
0
0
0
0
0
0
1
0.142857
false
0
0.142857
0.047619
0.428571
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b7529f85e20a09a7d94f12902a504b82d6d2f333
1,763
py
Python
lib/python2.7/site-packages/openopt/kernel/iterPrint.py
wangyum/anaconda
6e5a0dbead3327661d73a61e85414cf92aa52be6
[ "Apache-2.0", "BSD-3-Clause" ]
null
null
null
lib/python2.7/site-packages/openopt/kernel/iterPrint.py
wangyum/anaconda
6e5a0dbead3327661d73a61e85414cf92aa52be6
[ "Apache-2.0", "BSD-3-Clause" ]
null
null
null
lib/python2.7/site-packages/openopt/kernel/iterPrint.py
wangyum/anaconda
6e5a0dbead3327661d73a61e85414cf92aa52be6
[ "Apache-2.0", "BSD-3-Clause" ]
null
null
null
from numpy import log10, isnan def signOfFeasible(p): r = '-' if p.isFeas(p.xk): r = '+' return r textOutputDict = {\ 'objFunVal': lambda p: p.iterObjFunTextFormat % (-p.Fk if p.invertObjFunc else p.Fk), 'log10(maxResidual)': lambda p: '%0.2f' % log10(p.rk+1e-100), 'log10(MaxResidual/ConTol)':lambda p: '...
37.510638
123
0.604651
241
1,763
4.327801
0.323651
0.067114
0.052733
0.034516
0.168744
0.084372
0.051774
0.051774
0
0
0
0.028868
0.233693
1,763
46
124
38.326087
0.743153
0.02439
0
0.051282
0
0
0.107746
0.01456
0
0
0
0
0
1
0.076923
false
0.025641
0.025641
0
0.179487
0.076923
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
b752f435d4eed268979210bf9a7cb3d5c6b5fde1
1,833
py
Python
src/cli.py
blu3r4y/ccc-linz-mar2019
a012a8e8d0cbf01c495385c62f2571bfb1b01962
[ "MIT" ]
null
null
null
src/cli.py
blu3r4y/ccc-linz-mar2019
a012a8e8d0cbf01c495385c62f2571bfb1b01962
[ "MIT" ]
null
null
null
src/cli.py
blu3r4y/ccc-linz-mar2019
a012a8e8d0cbf01c495385c62f2571bfb1b01962
[ "MIT" ]
null
null
null
import os from main import main from pprint import pprint def parse(lines): # world bounds wx = int(lines[0].split()[0]) wy = int(lines[0].split()[0]) # initial position x = int(lines[1].split()[0]) y = int(lines[1].split()[1]) cmds = [] # command / step pair it = iter(lines[2]....
24.118421
73
0.505728
238
1,833
3.836134
0.323529
0.070099
0.03943
0.036145
0.072289
0
0
0
0
0
0
0.028549
0.312057
1,833
75
74
24.44
0.69548
0.063284
0
0
0
0
0.07377
0.031616
0
0
0
0
0
1
0.019608
false
0
0.058824
0
0.098039
0.078431
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
b75565cf56b991351466f79c8a9946c1474351a6
5,749
py
Python
card_utils/games/gin/ricky/utils.py
cdrappi/card_utils
dd12d3be22774cf35d7a6ce6b5f05ff6ee527929
[ "MIT" ]
null
null
null
card_utils/games/gin/ricky/utils.py
cdrappi/card_utils
dd12d3be22774cf35d7a6ce6b5f05ff6ee527929
[ "MIT" ]
null
null
null
card_utils/games/gin/ricky/utils.py
cdrappi/card_utils
dd12d3be22774cf35d7a6ce6b5f05ff6ee527929
[ "MIT" ]
null
null
null
import itertools from typing import List, Tuple from card_utils import deck from card_utils.deck.utils import ( rank_partition, suit_partition, ranks_to_sorted_values ) from card_utils.games.gin.deal import new_game def deal_new_game(): """ shuffle up and deal each player 7 cards, put one car...
27.117925
83
0.584623
824
5,749
3.824029
0.192961
0.03491
0.026658
0.034275
0.23072
0.167883
0.071723
0.071723
0.057125
0.048873
0
0.020737
0.287006
5,749
211
84
27.246446
0.747987
0.227344
0
0.153846
0
0
0.034574
0.006963
0
0
0
0
0
1
0.105769
false
0
0.048077
0
0.317308
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
b7569ffd8bee128efc51f5bcf493cd00aa1b2d94
899
py
Python
evennia/contrib/rpg/dice/tests.py
davidrideout/evennia
879eea55acdf4fe5cdc96ba8fd0ab5ccca4ae84b
[ "BSD-3-Clause" ]
null
null
null
evennia/contrib/rpg/dice/tests.py
davidrideout/evennia
879eea55acdf4fe5cdc96ba8fd0ab5ccca4ae84b
[ "BSD-3-Clause" ]
null
null
null
evennia/contrib/rpg/dice/tests.py
davidrideout/evennia
879eea55acdf4fe5cdc96ba8fd0ab5ccca4ae84b
[ "BSD-3-Clause" ]
null
null
null
""" Testing of TestDice. """ from evennia.commands.default.tests import BaseEvenniaCommandTest from mock import patch from . import dice @patch("evennia.contrib.rpg.dice.dice.randint", return_value=5) class TestDice(BaseEvenniaCommandTest): def test_roll_dice(self, mocked_randint): self.assertEqual(dice...
37.458333
100
0.657397
121
899
4.801653
0.429752
0.055077
0.098107
0.118761
0.239243
0.239243
0.187608
0.137694
0
0
0
0.069767
0.186874
899
23
101
39.086957
0.725034
0.022247
0
0
0
0.066667
0.241379
0.042529
0
0
0
0
0.2
1
0.133333
false
0
0.2
0
0.4
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b75755658b51065a953a59f32b666762d1790a50
9,247
py
Python
ardour_tally_relay.py
Jajcus/ardour_tally_relay
aa69035a86bd282238f70ef17c427068249efd59
[ "BSD-2-Clause" ]
null
null
null
ardour_tally_relay.py
Jajcus/ardour_tally_relay
aa69035a86bd282238f70ef17c427068249efd59
[ "BSD-2-Clause" ]
null
null
null
ardour_tally_relay.py
Jajcus/ardour_tally_relay
aa69035a86bd282238f70ef17c427068249efd59
[ "BSD-2-Clause" ]
null
null
null
#!/usr/bin/python3 import argparse import logging import signal import time from logging import debug, error, info, warning import pythonosc.osc_server import pythonosc.udp_client from pythonosc.dispatcher import Dispatcher import hid LOG_FORMAT = '%(message)s' POLL_INTERVAL = 1 # Supported USB relay vendor-id and...
37.589431
106
0.54861
1,012
9,247
4.827075
0.216403
0.033777
0.019652
0.019652
0.21085
0.175026
0.161515
0.13654
0.112794
0.087001
0
0.015709
0.352871
9,247
245
107
37.742857
0.800635
0.010922
0
0.319249
0
0
0.125451
0.002297
0
0
0.009187
0
0
1
0.075117
false
0.00939
0.042254
0
0.140845
0.018779
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
b757a3fb8db3b96f5cc0d1f1dd19f7847059351f
1,408
py
Python
python second semester working scripts/electrode_fcn.py
pm2111/Heart-Defibrillation-Project
48ea3570c360aac7c3ff46354891998f4f364fab
[ "MIT" ]
null
null
null
python second semester working scripts/electrode_fcn.py
pm2111/Heart-Defibrillation-Project
48ea3570c360aac7c3ff46354891998f4f364fab
[ "MIT" ]
null
null
null
python second semester working scripts/electrode_fcn.py
pm2111/Heart-Defibrillation-Project
48ea3570c360aac7c3ff46354891998f4f364fab
[ "MIT" ]
null
null
null
import numpy as np import matplotlib.pyplot as plt import os path = "/Users/petermarinov/msci project/electrode data/test data/data/" filenames = [] for f in os.listdir(path): if not f.startswith('.'): filenames.append(f) i=-12 data = np.genfromtxt(path + filenames[i]) V = np.zeros((200,20...
31.288889
139
0.496449
269
1,408
2.598513
0.249071
0.042918
0.051502
0.034335
0.346209
0.253219
0.220315
0.220315
0.220315
0.220315
0
0.110057
0.25142
1,408
45
140
31.288889
0.553131
0.15696
0
0.055556
0
0
0.126205
0.021034
0
0
0
0
0
1
0
false
0
0.083333
0
0.083333
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
b75be5ebe9cb0ad6772b99405564c425be4f2dda
969
py
Python
examples/truss/truss_01.py
ofgod2/Analisis-matricial-nusa-python
7cea329ba00449b97711a0c67725053a0d194335
[ "MIT" ]
92
2016-11-14T01:39:55.000Z
2022-03-27T17:23:41.000Z
examples/truss/truss_01.py
ofgod2/Analisis-matricial-nusa-python
7cea329ba00449b97711a0c67725053a0d194335
[ "MIT" ]
1
2017-11-30T05:04:02.000Z
2018-08-29T04:31:39.000Z
examples/truss/truss_01.py
ofgod2/Analisis-matricial-nusa-python
7cea329ba00449b97711a0c67725053a0d194335
[ "MIT" ]
31
2017-05-17T18:50:18.000Z
2022-03-12T03:08:00.000Z
# -*- coding: utf-8 -*- # *********************************** # Author: Pedro Jorge De Los Santos # E-mail: delossantosmfq@gmail.com # Blog: numython.github.io # License: MIT License # *********************************** from nusa import * """ Logan, D. (2007). A first course in the finite element analysis. ...
21.065217
64
0.585139
171
969
3.263158
0.473684
0.043011
0.075269
0.032258
0.111111
0.111111
0.089606
0.089606
0
0
0
0.08508
0.163055
969
45
65
21.533333
0.602959
0.337461
0
0
0
0
0.020873
0
0
0
0
0
0
1
0
false
0
0.04
0
0.04
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b75dd73022d3840c6328953902299b38ebc5ba18
2,919
py
Python
Profiles/Mahmoud Higazy/logistic_regression.py
AhmedHani/FCIS-Machine-Learning-2017
f241d989fdccfabfe351cd9c01f5de4da8df6ef3
[ "Apache-2.0" ]
13
2017-07-02T06:45:46.000Z
2020-12-26T16:35:24.000Z
Profiles/Mahmoud Higazy/logistic_regression.py
AhmedHani/FCIS-Machine-Learning-2017
f241d989fdccfabfe351cd9c01f5de4da8df6ef3
[ "Apache-2.0" ]
4
2017-07-22T00:09:41.000Z
2017-12-15T15:54:33.000Z
Profiles/Mahmoud Higazy/logistic_regression.py
AhmedHani/FCIS-Machine-Learning-2017
f241d989fdccfabfe351cd9c01f5de4da8df6ef3
[ "Apache-2.0" ]
25
2017-07-01T23:07:08.000Z
2019-01-24T09:45:08.000Z
from data_reader.reader import CsvReader from util import * import numpy as np import matplotlib.pyplot as plt class LogisticRegression(object): def __init__(self, learning_rate=0.01, epochs=50): self.__epochs= epochs self.__learning_rate = learning_rate def fit(self, X, y): self.w_ =...
34.341176
148
0.656732
464
2,919
3.885776
0.25431
0.072102
0.035496
0.036606
0.13533
0.13533
0.110926
0.098724
0.043261
0.043261
0
0.02384
0.209661
2,919
84
149
34.75
0.757694
0.100719
0
0.072727
0
0
0.035919
0
0
0
0
0
0
1
0.127273
false
0
0.072727
0.054545
0.309091
0.054545
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
b76161b7b67049e769a1af4d2aa06f728082679c
2,695
py
Python
run.py
Galaxy-SynBioCAD/extractTaxonomy
da3a1da443909dbefe143a3b7de66905c43eaf82
[ "MIT" ]
null
null
null
run.py
Galaxy-SynBioCAD/extractTaxonomy
da3a1da443909dbefe143a3b7de66905c43eaf82
[ "MIT" ]
null
null
null
run.py
Galaxy-SynBioCAD/extractTaxonomy
da3a1da443909dbefe143a3b7de66905c43eaf82
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 """ Created on March 18 2020 @author: Melchior du Lac @description: Extract the taxonomy ID from an SBML file """ import argparse import tempfile import os import logging import shutil import docker def main(inputfile, output): """Call the extractTaxonomy docker to return the JSON file ...
35
127
0.565121
289
2,695
5.15917
0.384083
0.037559
0.036217
0.016097
0.122066
0.122066
0.096579
0.096579
0.096579
0.096579
0
0.005549
0.331354
2,695
76
128
35.460526
0.821865
0.12987
0
0.226415
0
0
0.162771
0.050216
0
0
0
0
0
1
0.018868
false
0
0.113208
0
0.132075
0.056604
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
b76571e31217da708c1ce0ba259ecc1d18b070d9
1,878
py
Python
tests/dataio_tests/test_import_data_filter_empty_directories.py
cdeitrick/Lolipop
5b87b00a2c7ccbeeb3876bddb32e54aedf6bdf6d
[ "MIT" ]
6
2020-04-18T15:43:19.000Z
2022-02-19T18:43:23.000Z
tests/dataio_tests/test_import_data_filter_empty_directories.py
cdeitrick/Lolipop
5b87b00a2c7ccbeeb3876bddb32e54aedf6bdf6d
[ "MIT" ]
5
2020-05-04T16:09:03.000Z
2020-10-13T03:52:56.000Z
tests/dataio_tests/test_import_data_filter_empty_directories.py
cdeitrick/muller_diagrams
5b87b00a2c7ccbeeb3876bddb32e54aedf6bdf6d
[ "MIT" ]
3
2020-03-23T17:12:56.000Z
2020-07-24T22:22:12.000Z
from pathlib import Path import pandas from muller.dataio import import_tables from loguru import logger DATA_FOLDER = Path(__file__).parent.parent / "data" def test_filter_empty_trajectories(): input_column_0 = ['genotype-1', 'genotype-2', 'genotype-3', 'genotype-4', 'genotype-5', 'genotype-6'] input_column_1 = [...
33.535714
102
0.746006
300
1,878
4.406667
0.19
0.066566
0.060514
0.054463
0.406959
0.344932
0.228442
0.030257
0.030257
0.030257
0
0.129207
0.113951
1,878
56
103
33.535714
0.665264
0.044196
0
0
0
0
0.081428
0
0
0
0
0
0.073171
1
0.02439
false
0
0.121951
0
0.146341
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b765d8a9e197945a8d8e649b5d2aab25a4ba41c1
1,548
py
Python
posthog/apps.py
adamb70/posthog
54ae8f0e70092f86b4aefbd93b56680dbd28b1c5
[ "MIT" ]
null
null
null
posthog/apps.py
adamb70/posthog
54ae8f0e70092f86b4aefbd93b56680dbd28b1c5
[ "MIT" ]
null
null
null
posthog/apps.py
adamb70/posthog
54ae8f0e70092f86b4aefbd93b56680dbd28b1c5
[ "MIT" ]
null
null
null
import os import sys import posthoganalytics from django.apps import AppConfig from django.conf import settings from posthog.utils import get_git_branch, get_git_commit, get_machine_id from posthog.version import VERSION class PostHogConfig(AppConfig): name = "posthog" verbose_name = "PostHog" def read...
34.4
111
0.628553
180
1,548
5.244444
0.444444
0.025424
0.028602
0.041314
0.03178
0
0
0
0
0
0
0.001825
0.29199
1,548
44
112
35.181818
0.859489
0.131137
0
0.0625
0
0
0.129851
0.01791
0
0
0
0
0
1
0.03125
false
0
0.25
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
b765edd3d7064dd1a82224294d673c2cee6bca1a
836
py
Python
src/task_timer.py
dlb-rl/pulse-rl
ebe78d2286b2199d18b86941fbc9990e0d5c354a
[ "MIT" ]
4
2021-12-06T09:19:14.000Z
2022-01-31T13:58:06.000Z
src/task_timer.py
dlb-rl/pulse-rl
ebe78d2286b2199d18b86941fbc9990e0d5c354a
[ "MIT" ]
null
null
null
src/task_timer.py
dlb-rl/pulse-rl
ebe78d2286b2199d18b86941fbc9990e0d5c354a
[ "MIT" ]
null
null
null
import os import json import time from datetime import timedelta class TaskTimer: def __init__(self): self.time_performance = {} self.start_times = {} def start(self, task): self.start_times[task] = time.time() print('--- [{}] Start "{}"'.format(time.ctime(self.start_times[ta...
26.967742
85
0.574163
98
836
4.734694
0.346939
0.161638
0.163793
0.116379
0
0
0
0
0
0
0
0
0.279904
836
30
86
27.866667
0.770764
0
0
0
0
0
0.086124
0.02512
0
0
0
0
0
1
0.166667
false
0
0.166667
0
0.375
0.083333
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
b769a2ddbb714e86c922fd616f0acb57b564206d
5,192
py
Python
db_query.py
UiOHive/FinseDashboard
14184fbc425e87a4b9a13b3a9b31159b181cf357
[ "MIT" ]
null
null
null
db_query.py
UiOHive/FinseDashboard
14184fbc425e87a4b9a13b3a9b31159b181cf357
[ "MIT" ]
null
null
null
db_query.py
UiOHive/FinseDashboard
14184fbc425e87a4b9a13b3a9b31159b181cf357
[ "MIT" ]
null
null
null
import datetime import os, sys import pprint import requests from pandas.io.json import json_normalize import pandas as pd URL = 'https://wsn.latice.eu/api/query/v2/' #URL = 'http://localhost:8000/wsn/api/query/v2/' #TOKEN = os.getenv('WSN_TOKEN') TOKEN = os.getenv('WSN_TOKEN') path = os.getcwd() def query( limi...
28.217391
125
0.573575
620
5,192
4.674194
0.295161
0.031401
0.030366
0.028986
0.557971
0.511387
0.493444
0.493444
0.493444
0.493444
0
0.023685
0.300655
5,192
183
126
28.371585
0.774442
0.222843
0
0.661538
0
0
0.136671
0.050814
0
0
0.013517
0
0
1
0.030769
false
0
0.046154
0
0.107692
0.092308
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
b76bc1e49faa136f8b812dcedd6dc878d0d8aa05
4,716
py
Python
src/olympia/reviews/tests/test_models.py
leplatrem/addons-server
8b5ebda6f33194aa9fce12c0453574e7f850e6ad
[ "BSD-3-Clause" ]
null
null
null
src/olympia/reviews/tests/test_models.py
leplatrem/addons-server
8b5ebda6f33194aa9fce12c0453574e7f850e6ad
[ "BSD-3-Clause" ]
null
null
null
src/olympia/reviews/tests/test_models.py
leplatrem/addons-server
8b5ebda6f33194aa9fce12c0453574e7f850e6ad
[ "BSD-3-Clause" ]
null
null
null
from django.utils import translation from olympia import amo from olympia.amo.tests import TestCase, ESTestCase from olympia.addons.models import Addon from olympia.reviews import tasks from olympia.reviews.models import ( check_spam, GroupedRating, Review, ReviewFlag, Spam) from olympia.users.models import UserPr...
31.44
78
0.636556
621
4,716
4.719807
0.207729
0.06653
0.038212
0.042989
0.461617
0.421017
0.387581
0.296486
0.296486
0.269191
0
0.028827
0.242366
4,716
149
79
31.651007
0.791492
0.085878
0
0.376238
0
0
0.043468
0.005346
0
0
0
0
0.237624
1
0.148515
false
0
0.069307
0
0.316832
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
b76e06eb55845d82a11e8d62864a8001b125af43
703
py
Python
halo_app/infra/cache.py
halo-framework/halo-app
98e057b2f433d97d903589ac75a6c2544174bac8
[ "MIT" ]
null
null
null
halo_app/infra/cache.py
halo-framework/halo-app
98e057b2f433d97d903589ac75a6c2544174bac8
[ "MIT" ]
null
null
null
halo_app/infra/cache.py
halo-framework/halo-app
98e057b2f433d97d903589ac75a6c2544174bac8
[ "MIT" ]
null
null
null
from __future__ import annotations import elasticache_auto_discovery from pymemcache.client.hash import HashClient # elasticache settings elasticache_config_endpoint = "your-elasticache-cluster-endpoint:port" nodes = elasticache_auto_discovery.discover(elasticache_config_endpoint) nodes = map(lambda x: (x[1], int(x[2...
25.107143
72
0.752489
91
703
5.648352
0.516484
0.081712
0.093385
0
0
0
0
0
0
0
0
0.003401
0.163585
703
27
73
26.037037
0.870748
0.237553
0
0
0
0
0.07393
0.07393
0
0
0
0
0
1
0.166667
false
0
0.25
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
b771162a3330c2472592fd5f42c757bebf6eb7a4
12,046
py
Python
ext/ANTsPyNet/antspynet/utilities/mixture_density_utilities.py
tsmonteiro/fmri_proc
ee740cfa3c3a7ef8e1ee1ebd3b286a66712e0ec1
[ "MIT" ]
2
2021-11-16T10:00:33.000Z
2021-12-13T02:57:40.000Z
ext/ANTsPyNet/antspynet/utilities/mixture_density_utilities.py
tsmonteiro/fmri_proc
ee740cfa3c3a7ef8e1ee1ebd3b286a66712e0ec1
[ "MIT" ]
null
null
null
ext/ANTsPyNet/antspynet/utilities/mixture_density_utilities.py
tsmonteiro/fmri_proc
ee740cfa3c3a7ef8e1ee1ebd3b286a66712e0ec1
[ "MIT" ]
1
2021-12-13T02:57:27.000Z
2021-12-13T02:57:27.000Z
import keras.backend as K from keras.engine import Layer, InputSpec from keras.layers import Concatenate from keras import initializers import numpy as np import tensorflow as tf import tensorflow_probability as tfp class MixtureDensityLayer(Layer): """ Layer for modeling arbitrary functions using neural ne...
30.651399
94
0.628341
1,347
12,046
5.374165
0.139569
0.044205
0.075149
0.072524
0.664318
0.588617
0.550352
0.537781
0.502556
0.459179
0
0.005899
0.282251
12,046
392
95
30.729592
0.831367
0.20953
0
0.398734
0
0
0.043204
0.006961
0
0
0
0
0
1
0.094937
false
0
0.044304
0
0.151899
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
b7712de7485aecf34c54bcaa9134a8c65cfc7aa6
1,481
py
Python
test.py
pnawalramka/cowin
f8ce6286d38fc0616a385ac0a971c8947f71348c
[ "MIT" ]
null
null
null
test.py
pnawalramka/cowin
f8ce6286d38fc0616a385ac0a971c8947f71348c
[ "MIT" ]
null
null
null
test.py
pnawalramka/cowin
f8ce6286d38fc0616a385ac0a971c8947f71348c
[ "MIT" ]
null
null
null
import json from unittest import mock, TestCase import check_availability json_data = \ """ { "centers": [ { "center_id": 1234, "name": "District General Hostpital", "name_l": "", "address": "45 M G Road", "address_l": "", "state_name": "Maharashtra", "state_name_l": ""...
21.779412
63
0.532073
160
1,481
4.7
0.56875
0.026596
0
0
0
0
0
0
0
0
0
0.079808
0.297772
1,481
67
64
22.104478
0.643269
0
0
0
0
0
0.05298
0
0
0
0
0
0.142857
1
0.142857
false
0
0.214286
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
b7720c668afa28b45e212a7ec9a950d7f27725bb
12,805
py
Python
cemc/mcmc/cov_reaction_crd.py
davidkleiven/WangLandau
0b253dd98033c53560fe95c76f5e38257834bdf6
[ "MIT" ]
2
2022-02-10T00:38:53.000Z
2022-03-17T22:08:40.000Z
cemc/mcmc/cov_reaction_crd.py
davidkleiven/CEMC
0b253dd98033c53560fe95c76f5e38257834bdf6
[ "MIT" ]
30
2018-05-21T14:52:00.000Z
2021-02-24T07:45:09.000Z
cemc/mcmc/cov_reaction_crd.py
davidkleiven/WangLandau
0b253dd98033c53560fe95c76f5e38257834bdf6
[ "MIT" ]
3
2018-10-09T14:03:32.000Z
2022-02-09T05:36:05.000Z
import sys from cemc.mcmc import ReactionCrdInitializer, ReactionCrdRangeConstraint import numpy as np from itertools import product import time from numpy.linalg import inv class CouldNotFindValidStateError(Exception): pass class CovarianceCrdInitializer(ReactionCrdInitializer): """Initializer for various ...
38.338323
109
0.617415
1,565
12,805
4.844728
0.202556
0.044579
0.034819
0.041546
0.181351
0.13598
0.095357
0.075046
0.064495
0.04669
0
0.009039
0.308786
12,805
334
110
38.338323
0.847588
0.266771
0
0.144385
0
0
0.048854
0.005503
0
0
0
0
0.026738
1
0.074866
false
0.005348
0.042781
0
0.197861
0.032086
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
b77285d78a57f47f11411ca9d0f97da9f2e1f31c
3,810
py
Python
mysql/main.py
migachevalexey/BigQuery-integrations
d44546fbd3ff116e35ef90800ade2399e7266d9e
[ "MIT" ]
null
null
null
mysql/main.py
migachevalexey/BigQuery-integrations
d44546fbd3ff116e35ef90800ade2399e7266d9e
[ "MIT" ]
null
null
null
mysql/main.py
migachevalexey/BigQuery-integrations
d44546fbd3ff116e35ef90800ade2399e7266d9e
[ "MIT" ]
null
null
null
from google.cloud import bigquery from mysql.connector import connect import os # writeable part of the filesystem for Cloud Functions instance gc_write_dir = "/tmp" def get_file_mysql(mysql_configuration): """ Querying data using Connector/Python via *host* MySQL server. The function return the f...
39.6875
193
0.664829
460
3,810
5.304348
0.295652
0.110656
0.012295
0.027049
0.15
0.067623
0.067623
0.067623
0.05082
0.05082
0
0.001378
0.238058
3,810
96
194
39.6875
0.839132
0.165617
0
0.203125
0
0
0.164198
0.007083
0
0
0
0
0
1
0.046875
false
0.015625
0.046875
0
0.109375
0.140625
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
b7728a4f2303e9918fa06fb3ec419829f1f73d23
2,413
py
Python
arthur.carvalho/snakepro/game.py
LUDUSLab/stem-games
347afa8b1511d76f8070fa69f27a49b57e551376
[ "MIT" ]
2
2021-01-24T01:04:34.000Z
2021-05-06T16:25:53.000Z
arthur.carvalho/snakepro/game.py
LUDUSLab/stem-games
347afa8b1511d76f8070fa69f27a49b57e551376
[ "MIT" ]
null
null
null
arthur.carvalho/snakepro/game.py
LUDUSLab/stem-games
347afa8b1511d76f8070fa69f27a49b57e551376
[ "MIT" ]
3
2021-01-26T21:35:43.000Z
2021-05-06T16:06:47.000Z
from config import * from fruit import * from snakebody import * from wall import * def scoring(sp, ap): global score background_score = pygame.Surface(rectangle) background_score.fill(color_gray) score_text = score_font.render(f'Score: {score}', True, color_black, color_gray) screen.blit(backg...
25.135417
110
0.574803
302
2,413
4.380795
0.278146
0.116402
0.063492
0.048375
0.241119
0.14059
0.14059
0.081633
0.081633
0.081633
0
0.062006
0.318276
2,413
95
111
25.4
0.742249
0.006216
0
0.065574
0
0
0.034656
0.019207
0
0
0
0
0
1
0.04918
false
0
0.065574
0
0.114754
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
b7728d4f3bcf2508223268aec9d55c9c7919b6a4
821
py
Python
preprocessing_pipeline/so/util/log.py
sotorrent/preprocessing-pipeline
d407a56760fa5ab975dc2043c89f478bd7c89e99
[ "Apache-2.0" ]
null
null
null
preprocessing_pipeline/so/util/log.py
sotorrent/preprocessing-pipeline
d407a56760fa5ab975dc2043c89f478bd7c89e99
[ "Apache-2.0" ]
null
null
null
preprocessing_pipeline/so/util/log.py
sotorrent/preprocessing-pipeline
d407a56760fa5ab975dc2043c89f478bd7c89e99
[ "Apache-2.0" ]
1
2021-09-22T16:07:18.000Z
2021-09-22T16:07:18.000Z
import logging from preprocessing_pipeline.so.util.config import LOG_LEVEL def initialize_logger(logger_name): """ Configure a named logger (see https://stackoverflow.com/a/43794480). """ # create logger for module module_logger = logging.getLogger(logger_name) # set lowest log level the log...
30.407407
96
0.742996
102
821
5.803922
0.54902
0.101351
0.054054
0
0
0
0
0
0
0
0
0.011713
0.168088
821
26
97
31.576923
0.855051
0.282582
0
0
0
0
0.089474
0
0
0
0
0
0
1
0.083333
false
0
0.166667
0
0.333333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b7734741f7d6376de18287d5b5965809361df47f
995
py
Python
utilityFunction/CommandFunc.py
The-Fragment/FragmentFembot
bca0027b423753eb162590e8fd440a2c1e65d133
[ "MIT" ]
null
null
null
utilityFunction/CommandFunc.py
The-Fragment/FragmentFembot
bca0027b423753eb162590e8fd440a2c1e65d133
[ "MIT" ]
3
2021-03-23T04:58:47.000Z
2021-04-02T02:40:54.000Z
utilityFunction/CommandFunc.py
The-Fragment/FragmentFembot
bca0027b423753eb162590e8fd440a2c1e65d133
[ "MIT" ]
null
null
null
import random # Ex. takes in 2d20 and outputs the string Rolling 2 d20 def roll_str(rolls): numDice = rolls.split('d')[0] diceVal = rolls.split('d')[1] if numDice == '': numDice = int(1) return "Rolling %s d%s" % (numDice, diceVal) # Ex. takes in 2d20 and outputs resultString = 11, 19 result...
27.638889
78
0.582915
128
995
4.523438
0.4375
0.069085
0.075993
0.044905
0.145078
0.079447
0
0
0
0
0
0.035663
0.295477
995
35
79
28.428571
0.7903
0.186935
0
0.071429
0
0
0.047205
0
0
0
0
0
0
1
0.071429
false
0
0.035714
0
0.214286
0.035714
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b773ef3748302d9fb0e80bd06beb0fda6a677835
12,339
py
Python
src/reviews/tests/test_forms.py
Talengi/phase
60ff6f37778971ae356c5b2b20e0d174a8288bfe
[ "MIT" ]
8
2016-01-29T11:53:40.000Z
2020-03-02T22:42:02.000Z
src/reviews/tests/test_forms.py
Talengi/phase
60ff6f37778971ae356c5b2b20e0d174a8288bfe
[ "MIT" ]
289
2015-03-23T07:42:52.000Z
2022-03-11T23:26:10.000Z
src/reviews/tests/test_forms.py
Talengi/phase
60ff6f37778971ae356c5b2b20e0d174a8288bfe
[ "MIT" ]
7
2015-12-08T09:03:20.000Z
2020-05-11T15:36:51.000Z
# -*- coding: utf-8 -*- import datetime from django.test import TestCase from django.contrib.contenttypes.models import ContentType from accounts.factories import UserFactory from categories.factories import CategoryFactory from documents.factories import DocumentFactory from default_documents.models import Contrac...
34.275
86
0.630359
1,313
12,339
5.766946
0.132521
0.049921
0.06075
0.057052
0.707607
0.675251
0.644216
0.634046
0.61252
0.59588
0
0.006292
0.265824
12,339
359
87
34.370474
0.829562
0.073993
0
0.697761
0
0
0.045855
0
0
0
0
0
0.160448
1
0.070896
false
0.014925
0.037313
0
0.119403
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
b77448adc21f21e754acd95d28d79c117e90042e
2,814
py
Python
WWW/pycopia/WWW/HTML5simple.py
kdart/pycopia
1446fabaedf8c6bdd4ab1fc3f0ea731e0ef8da9d
[ "Apache-2.0" ]
89
2015-03-26T11:25:20.000Z
2022-01-12T06:25:14.000Z
WWW/pycopia/WWW/HTML5simple.py
kdart/pycopia
1446fabaedf8c6bdd4ab1fc3f0ea731e0ef8da9d
[ "Apache-2.0" ]
1
2015-07-05T03:27:43.000Z
2015-07-11T06:21:20.000Z
WWW/pycopia/WWW/HTML5simple.py
kdart/pycopia
1446fabaedf8c6bdd4ab1fc3f0ea731e0ef8da9d
[ "Apache-2.0" ]
30
2015-04-30T01:35:54.000Z
2022-01-12T06:19:49.000Z
#!/usr/bin/python2.7 # -*- coding: utf-8 -*- # vim:ts=4:sw=4:softtabstop=4:smarttab:expandtab # 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 ...
35.620253
90
0.678749
354
2,814
5.279661
0.567797
0.032103
0.034243
0.025682
0.058855
0.044944
0.044944
0.044944
0.044944
0
0
0.012288
0.161336
2,814
78
91
36.076923
0.779661
0.281095
0
0
0
0.090909
0.569138
0.157816
0.022727
0
0
0
0
1
0.022727
false
0
0.090909
0.022727
0.136364
0.045455
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
b777765b36345a7cbdc249bcc3d7922fbe5e7398
2,198
py
Python
tests/backend/configobj.py
edyan/python-anyconfig
d237909a6e4848737539b80951b710238c72052f
[ "MIT" ]
null
null
null
tests/backend/configobj.py
edyan/python-anyconfig
d237909a6e4848737539b80951b710238c72052f
[ "MIT" ]
null
null
null
tests/backend/configobj.py
edyan/python-anyconfig
d237909a6e4848737539b80951b710238c72052f
[ "MIT" ]
null
null
null
# # Copyright (C) 2013 - 2017 Satoru SATOH <ssato @ redhat.com> # License: MIT # # pylint: disable=missing-docstring,invalid-name,too-few-public-methods # pylint: disable=ungrouped-imports from __future__ import absolute_import import anyconfig.backend.configobj as TT import tests.backend.common as TBC from anyconfig...
27.135802
76
0.589172
284
2,198
4.447183
0.401408
0.055424
0.035629
0.02692
0.424386
0.378464
0.308789
0.251781
0.194774
0.194774
0
0.04457
0.27525
2,198
80
77
27.475
0.748274
0.088262
0
0.037736
0
0
0.522044
0
0
0
0
0
0
1
0
false
0.018868
0.075472
0
0.226415
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
b778baead541bab3544aa4b5bfec40bbfb0e7118
1,794
py
Python
tests/test_spider.py
aezhov/sw_downloader
325f6fe98579dda4f98613e4513fc46c7bd962c7
[ "MIT" ]
1
2020-01-23T06:56:34.000Z
2020-01-23T06:56:34.000Z
tests/test_spider.py
aezhov/sw_downloader
325f6fe98579dda4f98613e4513fc46c7bd962c7
[ "MIT" ]
null
null
null
tests/test_spider.py
aezhov/sw_downloader
325f6fe98579dda4f98613e4513fc46c7bd962c7
[ "MIT" ]
2
2020-01-23T06:56:36.000Z
2020-01-24T05:34:25.000Z
import requests from scrapy.http import HtmlResponse from sw_downloader.sw_downloader.spiders.smashing_magazine \ import SmashingMagazineSpider class TestSmashingMagazineSpider: def test_ruleset(self): url = ('https://www.smashingmagazine.com/category/wallpapers') response = requests.get(url...
39.866667
70
0.628763
188
1,794
5.840426
0.361702
0.076503
0.032787
0.040984
0.495446
0.430783
0.399818
0.399818
0.165756
0.165756
0
0.050575
0.272575
1,794
44
71
40.772727
0.790805
0
0
0.351351
0
0
0.141026
0.027871
0
0
0
0
0.108108
1
0.081081
false
0
0.081081
0
0.189189
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
b7794cab91544e360a3b3517961177ee512565ea
4,289
py
Python
rio/tasks.py
soasme/rio
e6b89634db8d3ad75ac7f7b25ddec5b19d4f66e2
[ "MIT" ]
null
null
null
rio/tasks.py
soasme/rio
e6b89634db8d3ad75ac7f7b25ddec5b19d4f66e2
[ "MIT" ]
14
2016-04-14T04:18:41.000Z
2016-05-12T03:46:37.000Z
rio/tasks.py
soasme/rio
e6b89634db8d3ad75ac7f7b25ddec5b19d4f66e2
[ "MIT" ]
1
2016-04-06T08:54:20.000Z
2016-04-06T08:54:20.000Z
# -*- coding: utf-8 -*- """ rio.tasks ~~~~~~~~~~ Implement of rio tasks based on celery. """ from time import time from celery import chord from requests import ConnectionError from celery.utils.log import get_task_logger from rio.core import celery from rio.core import sentry from rio.utils.http import dispatch_w...
26.312883
77
0.55211
463
4,289
4.971922
0.272138
0.031277
0.031277
0.020851
0.213293
0.172459
0.133797
0.08775
0.046047
0.046047
0
0.00164
0.289345
4,289
162
78
26.475309
0.753609
0.201212
0
0.231579
0
0
0.106562
0.008429
0
0
0
0
0
1
0.042105
false
0
0.115789
0
0.2
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
b77a241d42c4accce70a300b51e344bbc1b51e81
2,932
py
Python
security_app/createuserpoolgroup.py
jagalembu/chalice_cognito_multi_tenancy
b1a6569e716848adfd5b443239fca1ae883d4f4b
[ "MIT" ]
null
null
null
security_app/createuserpoolgroup.py
jagalembu/chalice_cognito_multi_tenancy
b1a6569e716848adfd5b443239fca1ae883d4f4b
[ "MIT" ]
null
null
null
security_app/createuserpoolgroup.py
jagalembu/chalice_cognito_multi_tenancy
b1a6569e716848adfd5b443239fca1ae883d4f4b
[ "MIT" ]
null
null
null
import os import uuid import json import argparse import boto3 USERPOOL = { 'env_var_poolid': 'APPUSERPOOLID', 'env_var_cognito_url': 'COGNITOJWKSURL', 'env_var_pool_client': 'APPCLIENTID', } def create_user_pool(pool_name, region, stage): client = boto3.client('cognito-idp') resp = client.creat...
30.863158
104
0.645634
358
2,932
5.013966
0.304469
0.062396
0.038997
0.053482
0.342618
0.296936
0.256825
0.210028
0.187187
0.187187
0
0.002628
0.221351
2,932
95
105
30.863158
0.783618
0.022169
0
0.175676
0
0.013514
0.196721
0.014649
0
0
0
0
0
1
0.094595
false
0
0.067568
0
0.175676
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
b7800aafff5c8094f397d2e3b7573a73689dfdba
560
py
Python
src/while_exit.py
Alex9808/py101
18c585c1433e8ec6f5e4962e556a781e0c3c3cd5
[ "MIT" ]
25
2018-08-14T22:13:13.000Z
2021-07-23T04:14:06.000Z
src/while_exit.py
Alex9808/py101
18c585c1433e8ec6f5e4962e556a781e0c3c3cd5
[ "MIT" ]
1
2021-05-21T23:46:42.000Z
2021-05-21T23:46:42.000Z
src/while_exit.py
Alex9808/py101
18c585c1433e8ec6f5e4962e556a781e0c3c3cd5
[ "MIT" ]
34
2018-07-30T20:48:17.000Z
2022-02-04T19:01:27.000Z
#!/usr/bin/env python ''' Este programa se repetirá 3 veces o hasta que se ingrese la palabra "despedida" y desplegará sólo el número de intentos fallidos hasta que cualquiera de los eventos ocurentradara. Al ingresar la palabra "termina" el programa se detendrá.''' entrada = "" suma = 0 while su...
29.473684
67
0.630357
73
560
4.835616
0.671233
0.056657
0
0
0
0
0
0
0
0
0
0.009732
0.266071
560
18
68
31.111111
0.849148
0.460714
0
0
0
0
0.249057
0
0
0
0
0
0
1
0
false
0
0
0
0
0.181818
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b7828d9ca80482a07e76866d18c12b99668834d3
2,582
py
Python
selenium_wrapper/factory.py
dfeeley/selenium-wrapper
f69576802e7847d120a051a2902da5750b9c6203
[ "MIT" ]
1
2022-01-14T20:21:19.000Z
2022-01-14T20:21:19.000Z
selenium_wrapper/factory.py
dfeeley/selenium-wrapper
f69576802e7847d120a051a2902da5750b9c6203
[ "MIT" ]
null
null
null
selenium_wrapper/factory.py
dfeeley/selenium-wrapper
f69576802e7847d120a051a2902da5750b9c6203
[ "MIT" ]
null
null
null
import os from selenium import webdriver from selenium.webdriver.common.desired_capabilities import DesiredCapabilities from selenium.webdriver.chrome.options import Options from .driver import Driver def remote(url, browser="chrome", **kwargs): if browser != "chrome": raise ValueError(f"Browser {browser...
39.723077
84
0.703718
300
2,582
5.903333
0.36
0.056465
0.071146
0.042914
0.212309
0.118577
0.080181
0.080181
0.080181
0.080181
0
0.021296
0.163439
2,582
64
85
40.34375
0.798611
0
0
0.107143
0
0.017857
0.326491
0.166925
0
0
0
0
0
1
0.053571
false
0
0.089286
0
0.196429
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
b782afffa41a32debaad33cd5a697c066dc182f8
14,153
py
Python
networking_cisco/tests/unit/saf/agent/vdp/test_lldpad.py
arvindsharma16/networking-cisco
2f38c25742296f07ab80479c152504353da0a1d4
[ "Apache-2.0" ]
null
null
null
networking_cisco/tests/unit/saf/agent/vdp/test_lldpad.py
arvindsharma16/networking-cisco
2f38c25742296f07ab80479c152504353da0a1d4
[ "Apache-2.0" ]
null
null
null
networking_cisco/tests/unit/saf/agent/vdp/test_lldpad.py
arvindsharma16/networking-cisco
2f38c25742296f07ab80479c152504353da0a1d4
[ "Apache-2.0" ]
1
2020-08-31T22:53:38.000Z
2020-08-31T22:53:38.000Z
# Copyrigh 2015 Cisco Systems. # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by...
50.366548
79
0.466191
1,391
14,153
4.550683
0.19051
0.030016
0.020221
0.025276
0.581675
0.523065
0.498578
0.465403
0.441706
0.40158
0
0.069091
0.438564
14,153
280
80
50.546429
0.727536
0.084434
0
0.436123
0
0
0.115971
0.058842
0
0
0
0
0.088106
1
0.057269
false
0.004405
0.030837
0
0.092511
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
b7836e4485ed6acdd7e26cba6a9e54fccf62bd20
15,656
py
Python
py/prospect/viewer/cds.py
segasai/prospect
0237fad5b04f5a982ba4178320e1ca5bb5fa408f
[ "BSD-3-Clause" ]
4
2018-10-22T21:12:43.000Z
2019-07-11T20:08:12.000Z
py/prospect/viewer/cds.py
segasai/prospect
0237fad5b04f5a982ba4178320e1ca5bb5fa408f
[ "BSD-3-Clause" ]
54
2019-12-07T08:24:53.000Z
2022-02-25T10:17:59.000Z
py/prospect/viewer/cds.py
segasai/prospect
0237fad5b04f5a982ba4178320e1ca5bb5fa408f
[ "BSD-3-Clause" ]
5
2019-12-20T21:47:40.000Z
2021-01-20T23:54:43.000Z
# Licensed under a 3-clause BSD style license - see LICENSE.rst # -*- coding: utf-8 -*- """ =================== prospect.viewer.cds =================== Class containing all bokeh's ColumnDataSource objects needed in viewer.py """ import numpy as np from pkg_resources import resource_filename import bokeh.plotting a...
45.37971
135
0.551993
1,809
15,656
4.614151
0.212825
0.031868
0.034144
0.03019
0.183539
0.12795
0.094645
0.085061
0.062777
0.062777
0
0.016928
0.324604
15,656
344
136
45.511628
0.772461
0.129918
0
0.152893
0
0
0.087838
0
0
0
0
0.002907
0.004132
1
0.03719
false
0
0.049587
0
0.099174
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
b785c28b83b4fcf0dd190a336d9e93908aec9ec2
4,865
py
Python
tests/test_32_read_registration.py
jschlyter/oidcendpoint
3192e6043f00b22809f63329893c50bedbdeafbc
[ "Apache-2.0" ]
null
null
null
tests/test_32_read_registration.py
jschlyter/oidcendpoint
3192e6043f00b22809f63329893c50bedbdeafbc
[ "Apache-2.0" ]
null
null
null
tests/test_32_read_registration.py
jschlyter/oidcendpoint
3192e6043f00b22809f63329893c50bedbdeafbc
[ "Apache-2.0" ]
null
null
null
# -*- coding: latin-1 -*- import json import pytest from oidcendpoint.endpoint_context import EndpointContext from oidcendpoint.oidc.authorization import Authorization from oidcendpoint.oidc.read_registration import RegistrationRead from oidcendpoint.oidc.registration import Registration from oidcendpoint.oidc.token i...
35.510949
87
0.567523
454
4,865
5.790749
0.328194
0.048688
0.038037
0.039939
0.077976
0.019779
0
0
0
0
0
0.007797
0.288181
4,865
136
88
35.772059
0.751372
0.004728
0
0.03252
0
0
0.321281
0.055992
0
0
0
0
0.056911
1
0.01626
false
0.00813
0.073171
0
0.097561
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
b786e3a7dfda3169fee4e233a099bad862bcb4ab
621
py
Python
2013.6/2015.6.py
luisalvaradoar/olimpiada.ct
aea479116036abe1c9cca3b482fed61f275ed319
[ "Apache-2.0" ]
null
null
null
2013.6/2015.6.py
luisalvaradoar/olimpiada.ct
aea479116036abe1c9cca3b482fed61f275ed319
[ "Apache-2.0" ]
null
null
null
2013.6/2015.6.py
luisalvaradoar/olimpiada.ct
aea479116036abe1c9cca3b482fed61f275ed319
[ "Apache-2.0" ]
null
null
null
def transaccion(retiro, saldo): if retiro % 5 != 0: return(saldo) elif (saldo - retiro) < 0: return(saldo) elif saldo == retiro: return(saldo) else: return(saldo - retiro - 0.5) def main(): entrada = open("input.txt","r") salida = open("output.txt","w") T = ...
19.40625
58
0.516908
79
621
4.063291
0.506329
0.137072
0.074766
0.099688
0.168224
0.168224
0
0
0
0
0
0.023364
0.310789
621
32
59
19.40625
0.726636
0.009662
0
0.136364
0
0
0.060163
0
0
0
0
0
0
1
0.090909
false
0
0
0
0.090909
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
b78725b75722098cca7515b9adddc2dea857de17
538
py
Python
hash.py
STR-Coding-Club/blockchain-demo
fae29a52d97c7595fa1e9d99527c4b034b721b8f
[ "MIT" ]
null
null
null
hash.py
STR-Coding-Club/blockchain-demo
fae29a52d97c7595fa1e9d99527c4b034b721b8f
[ "MIT" ]
null
null
null
hash.py
STR-Coding-Club/blockchain-demo
fae29a52d97c7595fa1e9d99527c4b034b721b8f
[ "MIT" ]
null
null
null
import hashlib, json # def hash(to_hash): # h = hashlib.md5() # h.update(bytes(str(to_hash), 'utf-8')) # return h.hexdigest() def hash(to_hash, proof_of_work): s = ''.join(str(_) for _ in (to_hash[:2])) #Add block number and previous hash to string s += ''.join(str(_) for _ in (to_hash[2])) #Add l...
24.454545
92
0.60223
89
538
3.47191
0.449438
0.097087
0.142395
0.084142
0.148867
0.148867
0.148867
0.148867
0.148867
0
0
0.02267
0.262082
538
21
93
25.619048
0.755668
0.418216
0
0
0
0
0
0
0
0
0
0
0
1
0.1
false
0
0.1
0
0.3
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b78782c19f15096aec39ba8d508066aa4591ae37
1,008
py
Python
covid-modeling-master/generate_ma_csv.py
rdkap42/caedus-covid
f64a833bdf386708fcb9394f94026c48f8d474ee
[ "MIT" ]
10
2020-03-17T21:21:50.000Z
2020-04-30T02:30:47.000Z
covid-modeling-master/generate_ma_csv.py
rdkap42/caedus-covid
f64a833bdf386708fcb9394f94026c48f8d474ee
[ "MIT" ]
5
2020-03-17T04:39:03.000Z
2021-04-30T21:11:14.000Z
covid-modeling-master/generate_ma_csv.py
rdkap42/caedus-covid
f64a833bdf386708fcb9394f94026c48f8d474ee
[ "MIT" ]
null
null
null
import logging import time import numpy as np from eda import ma_data, tx_data from sir_fitting_us import seir_experiment, make_csv_from_tx_traj logger = logging.getLogger(__name__) logger.setLevel(logging.INFO) logger.info("Fitting model.") # initial values taken from previous fit, used to seed MH sampler efficie...
31.5
82
0.727183
161
1,008
4.31677
0.490683
0.060432
0.031655
0.03741
0.11223
0.063309
0.063309
0.063309
0.063309
0
0
0.046512
0.146825
1,008
31
83
32.516129
0.761628
0.178571
0
0
0
0
0.120219
0.028689
0
0
0
0
0.052632
1
0
false
0
0.263158
0
0.263158
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
b78d491f7594796538d954c219bf7266a1779707
1,096
py
Python
tests/init.py
touqir14/Emergent
0782e1304702f3c95092953ce5da1d8ed69bbe6f
[ "MIT" ]
null
null
null
tests/init.py
touqir14/Emergent
0782e1304702f3c95092953ce5da1d8ed69bbe6f
[ "MIT" ]
null
null
null
tests/init.py
touqir14/Emergent
0782e1304702f3c95092953ce5da1d8ed69bbe6f
[ "MIT" ]
null
null
null
import pathlib import os import sys from multiprocessing import resource_tracker def modify_resource_tracker(): # See discussion: https://bugs.python.org/issue39959 # See source code: https://github.com/python/cpython/blob/master/Lib/multiprocessing/resource_tracker.py rt = resource_tracker._resource_tracker def...
27.4
106
0.718978
136
1,096
5.558824
0.389706
0.15873
0.047619
0.042328
0.261905
0.261905
0.193122
0.193122
0.193122
0.193122
0
0.005537
0.176095
1,096
39
107
28.102564
0.831672
0.209854
0
0.230769
0
0
0.066279
0
0
0
0
0
0
1
0.153846
false
0
0.153846
0
0.384615
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b78f243f121a8fb7c7eb83f7fd3d5745810817b9
12,586
py
Python
data-processor/modules/wikia_handler.py
stephanietuerk/art-history-jobs
d10718ce7c8eb591cea9808945d01a2273425a58
[ "MIT" ]
null
null
null
data-processor/modules/wikia_handler.py
stephanietuerk/art-history-jobs
d10718ce7c8eb591cea9808945d01a2273425a58
[ "MIT" ]
null
null
null
data-processor/modules/wikia_handler.py
stephanietuerk/art-history-jobs
d10718ce7c8eb591cea9808945d01a2273425a58
[ "MIT" ]
null
null
null
import csv import re import unicodedata import bs4 import wikia from modules import utils from modules.config import Config class WikiaHandler(): def __init__(self): config = Config() self.scraping_config = config.get_scraping_config() self.parsing_config = config.get_parsing_config() ...
44.161404
245
0.571667
1,543
12,586
4.400518
0.123785
0.038881
0.035346
0.025037
0.332842
0.266716
0.226951
0.213255
0.194698
0.113549
0
0.011799
0.326633
12,586
284
246
44.316901
0.789381
0.01017
0
0.206478
0
0
0.087047
0.008994
0
0
0
0
0
1
0.11336
false
0
0.02834
0.008097
0.263158
0.024292
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
b78f91bde4f8867fdadaaee058845f1ee62f598c
3,949
py
Python
ucsmsdk/mometa/cimcvmedia/CimcvmediaExtMgmtRuleEntry.py
anoop1984/python_sdk
c4a226bad5e10ad233eda62bc8f6d66a5a82b651
[ "Apache-2.0" ]
null
null
null
ucsmsdk/mometa/cimcvmedia/CimcvmediaExtMgmtRuleEntry.py
anoop1984/python_sdk
c4a226bad5e10ad233eda62bc8f6d66a5a82b651
[ "Apache-2.0" ]
null
null
null
ucsmsdk/mometa/cimcvmedia/CimcvmediaExtMgmtRuleEntry.py
anoop1984/python_sdk
c4a226bad5e10ad233eda62bc8f6d66a5a82b651
[ "Apache-2.0" ]
null
null
null
"""This module contains the general information for CimcvmediaExtMgmtRuleEntry ManagedObject.""" import sys, os from ...ucsmo import ManagedObject from ...ucscoremeta import UcsVersion, MoPropertyMeta, MoMeta from ...ucsmeta import VersionMeta class CimcvmediaExtMgmtRuleEntryConsts(): MOUNT_PROTOCOL_CIFS = "cifs...
58.940299
248
0.66042
436
3,949
5.772936
0.254587
0.028605
0.143027
0.150179
0.24712
0.205006
0.131108
0.128725
0.128725
0.081049
0
0.03522
0.158774
3,949
66
249
59.833333
0.722456
0.033426
0
0
0
0.076923
0.303548
0.130092
0
0
0.005519
0
0
1
0.019231
false
0
0.076923
0
0.326923
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
b791735533ee827f9ea58cc60b007fcd8bb18dbd
2,295
py
Python
LungCancer.py
SpiroGanas/Lung-Cancer-Machine-Learning
4e38b3df9b560194f67ab03e9aaefad6c84216db
[ "MIT" ]
1
2019-04-28T02:25:32.000Z
2019-04-28T02:25:32.000Z
LungCancer.py
SpiroGanas/Lung-Cancer-Machine-Learning
4e38b3df9b560194f67ab03e9aaefad6c84216db
[ "MIT" ]
null
null
null
LungCancer.py
SpiroGanas/Lung-Cancer-Machine-Learning
4e38b3df9b560194f67ab03e9aaefad6c84216db
[ "MIT" ]
null
null
null
# Spiro Ganas # 9/27/17 # # Python 3 script to ######### NOTES ######################################## # 1. Each "slice" is a 512x512 image, stored in a single .dcm file. # 2. A 3-dimensional CT Scan consists of between 94 and 541 slices (according to the Stage 1 data). # 3. We need to rescale all the CT scans so...
27.650602
127
0.662309
337
2,295
4.412463
0.504451
0.0269
0.047075
0.020175
0.092804
0.03228
0
0
0
0
0
0.022164
0.174292
2,295
82
128
27.987805
0.762533
0.461002
0
0
0
0
0.126815
0.025169
0
0
0
0
0
1
0
false
0.033333
0.2
0
0.2
0.2
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
b791ac3d3021c73d2b06aeec225eba82f7ecf599
852
py
Python
setup.py
LEGO-Robotics/aistorms
abfb6b978215507d331d9ade764310ee9d8c9448
[ "MIT" ]
1
2020-06-06T22:47:09.000Z
2020-06-06T22:47:09.000Z
setup.py
AntoniLuongPham/LEGO-Mindstorms-AI
abfb6b978215507d331d9ade764310ee9d8c9448
[ "MIT" ]
null
null
null
setup.py
AntoniLuongPham/LEGO-Mindstorms-AI
abfb6b978215507d331d9ade764310ee9d8c9448
[ "MIT" ]
1
2020-06-08T15:53:42.000Z
2020-06-08T15:53:42.000Z
import json import os from setuptools import find_packages, setup PACKAGE_NAMESPACE_NAME = 'aistorms' METADATA_FILE_NAME = 'metadata.json' REQUIREMENTS_FILE_NAME = 'requirements.txt' _metadata = \ json.load( open(os.path.join( os.path.dirname(__file__), PACKAGE_NAMESPAC...
24.342857
60
0.676056
91
852
5.967033
0.43956
0.058932
0.073665
0
0
0
0
0
0
0
0
0
0.207746
852
34
61
25.058824
0.804444
0
0
0
0
0
0.124413
0
0
0
0
0
0
1
0
false
0
0.115385
0
0.115385
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
b7936727533c1b6e64a5988a2f89fc499bcee832
23,430
py
Python
tests/torch/pruning/test_model_pruning_analysis.py
sarthakpati/nncf
29ad62c664c1dd53b3c8c50fc001a1b36bd1e8ac
[ "Apache-2.0" ]
null
null
null
tests/torch/pruning/test_model_pruning_analysis.py
sarthakpati/nncf
29ad62c664c1dd53b3c8c50fc001a1b36bd1e8ac
[ "Apache-2.0" ]
1
2021-07-23T07:46:52.000Z
2021-07-23T07:46:52.000Z
tests/torch/pruning/test_model_pruning_analysis.py
sarthakpati/nncf
29ad62c664c1dd53b3c8c50fc001a1b36bd1e8ac
[ "Apache-2.0" ]
null
null
null
""" Copyright (c) 2020 Intel Corporation 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 writin...
51.721854
119
0.660606
2,415
23,430
6.068737
0.103934
0.032001
0.01426
0.023199
0.558474
0.465748
0.384348
0.310931
0.258938
0.253616
0
0.023491
0.260521
23,430
452
120
51.836283
0.822406
0.040077
0
0.28771
0
0
0.183579
0.163453
0
0
0
0
0.067039
1
0.047486
false
0
0.106145
0.011173
0.181564
0.002793
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
b794d1e8ea63cc3bf3146f5e45ab36528d92826b
22,826
py
Python
cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_wanphy_ui_oper.py
tkamata-test/ydk-py
b637e7853a8edbbd31fbc05afa3aa4110b31c5f9
[ "ECL-2.0", "Apache-2.0" ]
null
null
null
cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_wanphy_ui_oper.py
tkamata-test/ydk-py
b637e7853a8edbbd31fbc05afa3aa4110b31c5f9
[ "ECL-2.0", "Apache-2.0" ]
null
null
null
cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_wanphy_ui_oper.py
tkamata-test/ydk-py
b637e7853a8edbbd31fbc05afa3aa4110b31c5f9
[ "ECL-2.0", "Apache-2.0" ]
null
null
null
""" Cisco_IOS_XR_wanphy_ui_oper This module contains a collection of YANG definitions for Cisco IOS\-XR wanphy\-ui package operational data. This module contains definitions for the following management objects\: wanphy\: WANPHY operational data Copyright (c) 2013\-2016 by Cisco Systems, Inc. All rights reserved....
30.434667
293
0.423596
2,019
22,826
4.575037
0.090144
0.033128
0.047743
0.0747
0.675327
0.657248
0.628018
0.536646
0.38021
0.283425
0
0.05715
0.49943
22,826
749
294
30.4753
0.751269
0.32095
0
0.461538
0
0.008097
0.058898
0.035104
0
0
0
0
0
1
0.089069
false
0
0.044534
0.008097
0.469636
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
b79500b1906f3f8e77f736bcb5d3e403aa5d9a7d
773
py
Python
test/unit/solver/test_lamb.py
megvii-research/basecls
6b395a0a888370b4523764afb78a5a7634a3f6cd
[ "Apache-2.0" ]
23
2021-12-08T02:35:01.000Z
2022-03-16T02:23:19.000Z
test/unit/solver/test_lamb.py
megvii-research/basecls
6b395a0a888370b4523764afb78a5a7634a3f6cd
[ "Apache-2.0" ]
4
2021-12-23T11:31:17.000Z
2022-02-28T01:35:31.000Z
test/unit/solver/test_lamb.py
megvii-research/basecls
6b395a0a888370b4523764afb78a5a7634a3f6cd
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python3 # Copyright (c) 2014-2021 Megvii Inc. All rights reserved. import megengine as mge import numpy as np import pytest from megengine.autodiff import GradManager from basecls.solver.optimizer import LAMB @pytest.mark.parametrize("weight_decay", [0.0, 0.001]) @pytest.mark.parametrize("betas", [(0....
26.655172
67
0.633894
119
773
4.058824
0.546218
0.091097
0.086957
0
0
0
0
0
0
0
0
0.052632
0.213454
773
28
68
27.607143
0.741776
0.100906
0
0
0
0
0.044733
0
0
0
0
0
0
1
0.045455
false
0
0.227273
0
0.272727
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b7961cc47beaac8f9cce44564f475f951b32b24b
2,180
py
Python
onenote-dump/__main__.py
genericmoniker/onenote-dump
78b2ee2dcf854f6bc989d3081f42c97f245e49cc
[ "MIT" ]
39
2019-07-17T06:08:56.000Z
2022-03-22T09:48:58.000Z
onenote-dump/__main__.py
nicknickel/onenote-dump
84607f89f8c14c51796ab660dc0e741af3ccf55c
[ "MIT" ]
5
2020-07-02T02:44:38.000Z
2021-11-11T18:16:13.000Z
onenote-dump/__main__.py
nicknickel/onenote-dump
84607f89f8c14c51796ab660dc0e741af3ccf55c
[ "MIT" ]
6
2020-11-01T12:46:56.000Z
2022-01-12T22:24:50.000Z
import argparse import logging import os import pathlib import time import log import onenote_auth import onenote import pipeline logger = logging.getLogger() def main(): args = parse_args() if args.verbose: log.setup_logging(logging.DEBUG) else: log.setup_logging(logging.INFO) # Al...
27.25
76
0.624771
283
2,180
4.650177
0.388693
0.041033
0.077508
0.034195
0.052432
0
0
0
0
0
0
0.003086
0.256881
2,180
79
77
27.594937
0.809259
0.029817
0
0.09375
0
0
0.166193
0.012784
0
0
0
0
0
1
0.03125
false
0
0.140625
0
0.1875
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
b7971aac602f7d60f9d06ecc4d523b5988cef546
10,391
py
Python
venv/lib/python3.8/site-packages/ansible_collections/community/aws/tests/unit/plugins/modules/test_data_pipeline.py
saeedya/docker-ansible
6fb0cfc6bc4a5925b21380952a5a4502ec02119a
[ "Apache-2.0" ]
7
2021-11-16T04:05:42.000Z
2022-02-19T21:14:29.000Z
venv/lib/python3.8/site-packages/ansible_collections/community/aws/tests/unit/plugins/modules/test_data_pipeline.py
saeedya/docker-ansible
6fb0cfc6bc4a5925b21380952a5a4502ec02119a
[ "Apache-2.0" ]
1
2022-03-12T02:25:26.000Z
2022-03-12T02:25:26.000Z
venv/lib/python3.8/site-packages/ansible_collections/community/aws/tests/unit/plugins/modules/test_data_pipeline.py
saeedya/docker-ansible
6fb0cfc6bc4a5925b21380952a5a4502ec02119a
[ "Apache-2.0" ]
1
2022-03-01T05:43:07.000Z
2022-03-01T05:43:07.000Z
# (c) 2017 Red Hat Inc. # # This file is part of Ansible # GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) # Make coding more python3-ish from __future__ import (absolute_import, division, print_function) __metaclass__ = type import collections import os import json import p...
40.909449
128
0.698008
1,212
10,391
5.767327
0.188944
0.096137
0.042918
0.081545
0.623891
0.567525
0.525179
0.475393
0.444921
0.390987
0
0.010429
0.187951
10,391
253
129
41.071146
0.817966
0.091425
0
0.39548
0
0
0.189008
0.060912
0
0
0
0
0.129944
1
0.135593
false
0
0.056497
0
0.19774
0.00565
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
b7977b33c0e4a7ba789fa84d50fd2df4ed4339db
3,433
py
Python
Janela/Cadastro_clientes/Clientes.py
marcosj046/Treinando-Python-Tkinter
7b88a6b6afba46e6c013b65b952723047c173901
[ "MIT" ]
null
null
null
Janela/Cadastro_clientes/Clientes.py
marcosj046/Treinando-Python-Tkinter
7b88a6b6afba46e6c013b65b952723047c173901
[ "MIT" ]
null
null
null
Janela/Cadastro_clientes/Clientes.py
marcosj046/Treinando-Python-Tkinter
7b88a6b6afba46e6c013b65b952723047c173901
[ "MIT" ]
null
null
null
import sqlite3 import tkinter as tk import pandas as pd #---------------------------------------------- #Para criação do banco de dados retira o comentário (#) da linha 9 à 23 somente a primeira vez que rodar o cód, #depois, basta comentar novamente. #Criando o Banco de Dados # conexao = sqlite3.connect('Clientes.db'...
33.990099
171
0.669677
469
3,433
4.818763
0.287846
0.044248
0.044248
0.053097
0.269469
0.189823
0.166814
0.103097
0.076549
0.076549
0
0.029713
0.147102
3,433
101
172
33.990099
0.742145
0.312263
0
0.153846
0
0
0.132359
0.015041
0
0
0
0.009901
0
1
0.038462
false
0
0.057692
0
0.096154
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
b79823a97f320a9bd4990bfd614e964f079da76e
14,382
py
Python
pygitbucket/client.py
SimiCode/pygitbucket
46a22fcc0292231905eb4e0e2da47f8a85743bbd
[ "MIT" ]
1
2021-07-04T19:45:05.000Z
2021-07-04T19:45:05.000Z
pygitbucket/client.py
SimiCode/pygitbucket
46a22fcc0292231905eb4e0e2da47f8a85743bbd
[ "MIT" ]
null
null
null
pygitbucket/client.py
SimiCode/pygitbucket
46a22fcc0292231905eb4e0e2da47f8a85743bbd
[ "MIT" ]
null
null
null
import math import requests from pygitbucket.exceptions import ( UnknownError, InvalidIDError, NotFoundIDError, NotAuthenticatedError, PermissionError, ) class Client: BASE_URL = "https://api.bitbucket.org/" def __init__(self, user: str, password: str, owner=None): """Initial ses...
28.821643
117
0.578779
1,531
14,382
5.30307
0.16917
0.105185
0.038798
0.035103
0.601675
0.546496
0.50351
0.466806
0.434536
0.410026
0
0.007302
0.333403
14,382
498
118
28.879518
0.839574
0.331456
0
0.335
0
0
0.173296
0.145147
0
0
0
0
0
1
0.145
false
0.03
0.015
0.01
0.315
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
b798b33e304086ef9c7efe2c716e2e87dfcb993a
3,594
py
Python
viroconcom/read_write.py
adrdrew/viroconcom
3eb748ba8e3e076eddd174a0fcdfee3917aa4045
[ "MIT" ]
null
null
null
viroconcom/read_write.py
adrdrew/viroconcom
3eb748ba8e3e076eddd174a0fcdfee3917aa4045
[ "MIT" ]
1
2020-05-18T11:06:28.000Z
2020-05-18T11:06:28.000Z
viroconcom/read_write.py
adrdrew/viroconcom
3eb748ba8e3e076eddd174a0fcdfee3917aa4045
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Reads datasets, reads and writes contour coordinates. """ import numpy as np import csv def read_ecbenchmark_dataset(path='datasets/1year_dataset_A.txt'): """ Reads a 2D dataset that uses a an ASCI format with ';' as a seperator. This format...
31.526316
107
0.574012
470
3,594
4.321277
0.261702
0.024618
0.047267
0.064008
0.56967
0.471689
0.39291
0.379124
0.350566
0.327917
0
0.011466
0.320534
3,594
113
108
31.80531
0.820229
0.502226
0
0.47619
0
0
0.046335
0.019364
0
0
0
0
0
1
0.071429
false
0
0.047619
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
b798e6d01b3ed050802b1fbfc6ef1f267c2dd36a
601
py
Python
check_python_install/check_numba.py
sdpython/_check_python_install
06a34e3b8559370c8c41b655ed2acc72c7f1bf34
[ "MIT" ]
null
null
null
check_python_install/check_numba.py
sdpython/_check_python_install
06a34e3b8559370c8c41b655ed2acc72c7f1bf34
[ "MIT" ]
2
2019-11-07T18:11:18.000Z
2021-01-02T11:49:38.000Z
check_python_install/check_numba.py
sdpython/_check_python_install
06a34e3b8559370c8c41b655ed2acc72c7f1bf34
[ "MIT" ]
null
null
null
""" @file @brief Test for :epkg:`cartopy`. """ import numpy import numba @numba.jit(nopython=True, parallel=True) def logistic_regression(Y, X, w, iterations): "Fits a logistic regression." for _ in range(iterations): w -= numpy.dot(((1.0 / (1.0 + numpy.exp(-Y * numpy.dot(X, w))) - 1.0) * Y), X) r...
24.04
86
0.62396
92
601
4.032609
0.423913
0.145553
0.121294
0.107817
0.113208
0
0
0
0
0
0
0.026971
0.198003
601
24
87
25.041667
0.742739
0.166389
0
0
0
0
0.05336
0
0
0
0
0
0
1
0.153846
false
0
0.153846
0
0.461538
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
b799b353c37ba22ae18a337e8553a686eb6d2908
793
py
Python
app/utils/to_file.py
MichelHanzenScheeren/SpectralClustering
be0a2645b965442d57c1fb016556d3003921f84a
[ "MIT" ]
null
null
null
app/utils/to_file.py
MichelHanzenScheeren/SpectralClustering
be0a2645b965442d57c1fb016556d3003921f84a
[ "MIT" ]
null
null
null
app/utils/to_file.py
MichelHanzenScheeren/SpectralClustering
be0a2645b965442d57c1fb016556d3003921f84a
[ "MIT" ]
null
null
null
class ToFile: """ Classe que recebe uma instância de dados e os salva em um arquivo de saída. """ def __init__(self, path, data): maxs = [len(x) + 4 for x in data.legend] with open(path, 'w') as file: file.write('id' + (' ' * 6)) for index, element in enumerate(data.legend): file.write(...
37.761905
85
0.538462
111
793
3.810811
0.45045
0.170213
0.070922
0.080378
0.141844
0.141844
0
0
0
0
0
0.010417
0.273644
793
20
86
39.65
0.723958
0.094578
0
0.111111
0
0
0.112676
0
0
0
0
0
0
1
0.055556
false
0
0
0
0.111111
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
b79c02ce02e6d31db2455c7ba97e981d1dda98d5
3,564
py
Python
sudoku/sudoku.py
Ostap2003/backtracking-team-project
2a6fb2fc80dcdd286c76dbc3b546baf452098d98
[ "MIT" ]
null
null
null
sudoku/sudoku.py
Ostap2003/backtracking-team-project
2a6fb2fc80dcdd286c76dbc3b546baf452098d98
[ "MIT" ]
null
null
null
sudoku/sudoku.py
Ostap2003/backtracking-team-project
2a6fb2fc80dcdd286c76dbc3b546baf452098d98
[ "MIT" ]
null
null
null
from pprint import pprint '''The module has class Grid for solving sudoku. Grid should be given as a list of integers or a path to a file. ''' class Grid(): '''Class for solving sudoku. ''' def __init__(self, path= None, grid= None) -> None: '''Initialize grid, columns, squares. ''' ...
28.741935
81
0.45679
501
3,564
3.165669
0.191617
0.037831
0.030265
0.030265
0.218159
0.127995
0.095839
0.046658
0.03657
0.03657
0
0.059235
0.398429
3,564
123
82
28.97561
0.680504
0.191077
0
0.136986
0
0
0.012123
0
0
0
0
0
0.027397
1
0.082192
false
0
0.013699
0
0.191781
0.013699
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
b7a3ac719d785e13f7265ad9a05f4b664dd99826
3,685
py
Python
MIssions_to_Mars/scrape_mars_mission.py
pwickliff1/web-scraping-challenge
56e2b5e6905c17fce762aeb2ae1ad8cb0f48f8d6
[ "ADSL" ]
null
null
null
MIssions_to_Mars/scrape_mars_mission.py
pwickliff1/web-scraping-challenge
56e2b5e6905c17fce762aeb2ae1ad8cb0f48f8d6
[ "ADSL" ]
null
null
null
MIssions_to_Mars/scrape_mars_mission.py
pwickliff1/web-scraping-challenge
56e2b5e6905c17fce762aeb2ae1ad8cb0f48f8d6
[ "ADSL" ]
null
null
null
# Dependencies from bs4 import BeautifulSoup import requests import re import pandas as pd def scrape(): mars_data = {} # Url of website to be scraped url = 'https://mars.nasa.gov/news/' response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') # get the lates...
35.095238
172
0.686567
498
3,685
4.929719
0.325301
0.040326
0.038697
0.039104
0.292057
0.235438
0.193075
0.175967
0.175967
0.175967
0
0.014676
0.186431
3,685
104
173
35.432692
0.804203
0.179104
0
0.132075
0
0.132075
0.432333
0.05
0
0
0
0
0
1
0.018868
false
0
0.075472
0
0.113208
0.018868
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
b7a9d3a60ea32292f1f1a315f0e465e4cf861159
236
py
Python
configs/semantic_guided/CE.py
hukkelas/full_body_anonymization
c61745b137c84ffb742ef6ab2f4721db4acf22b7
[ "MIT" ]
27
2022-01-06T20:15:24.000Z
2022-03-29T11:54:49.000Z
configs/semantic_guided/CE.py
hukkelas/full_body_anonymization
c61745b137c84ffb742ef6ab2f4721db4acf22b7
[ "MIT" ]
2
2022-03-17T06:04:23.000Z
2022-03-25T08:50:57.000Z
configs/semantic_guided/CE.py
hukkelas/full_body_anonymization
c61745b137c84ffb742ef6ab2f4721db4acf22b7
[ "MIT" ]
2
2022-01-07T13:16:59.000Z
2022-01-16T02:10:50.000Z
_base_config_ = ["base.py"] generator = dict( input_cse=True, use_cse=True ) discriminator=dict( pred_only_cse=False, pred_only_semantic=True ) loss = dict( gan_criterion=dict(type="segmentation", seg_weight=.1) )
15.733333
58
0.699153
32
236
4.8125
0.6875
0.090909
0
0
0
0
0
0
0
0
0
0.005128
0.173729
236
14
59
16.857143
0.784615
0
0
0
0
0
0.080508
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b7ac37d5a23a4e9b74f4c14b649516c082ec539d
676
py
Python
test/compiler/test-encode.py
xupingmao/minipy
5bce2f238925eb92fe9ff7d935f59ef68daa257a
[ "MIT" ]
52
2016-07-11T10:14:35.000Z
2021-12-09T09:10:43.000Z
test/compiler/test-encode.py
xupingmao/snake
c956f151ed1ebd2faeaf1565352b59ca5a8fa0b4
[ "MIT" ]
13
2016-07-24T13:50:37.000Z
2019-03-02T06:56:18.000Z
test/compiler/test-encode.py
xupingmao/snake
c956f151ed1ebd2faeaf1565352b59ca5a8fa0b4
[ "MIT" ]
9
2017-01-27T10:46:04.000Z
2021-12-09T09:10:46.000Z
# -*- coding:utf-8 -*- # @author xupingmao <578749341@qq.com> # @since 2020/10/20 00:19:47 # @modified 2020/10/20 00:42:52 import sys sys.path.append("src/python") from mp_encode import * def test_compile(fname): input_fname = "test/compiler/case/%s-input.py" % fname output_fname = "test/compiler/case/%s-o...
25.037037
67
0.668639
101
676
4.376238
0.554455
0.099548
0.036199
0.045249
0.099548
0
0
0
0
0
0
0.067496
0.16716
676
26
68
26
0.717584
0.168639
0
0
0
0
0.276481
0.111311
0
0
0
0
0.066667
1
0.066667
false
0
0.133333
0
0.2
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
b7ad32170df3a150ccda1de3243e006af407c590
3,719
py
Python
paragen/optim/__init__.py
godweiyang/ParaGen
9665d1244ea38a41fc06b4e0a7f6411985e2221f
[ "Apache-2.0" ]
null
null
null
paragen/optim/__init__.py
godweiyang/ParaGen
9665d1244ea38a41fc06b4e0a7f6411985e2221f
[ "Apache-2.0" ]
null
null
null
paragen/optim/__init__.py
godweiyang/ParaGen
9665d1244ea38a41fc06b4e0a7f6411985e2221f
[ "Apache-2.0" ]
null
null
null
from copy import deepcopy from inspect import getfullargspec import importlib import json import os import logging logger = logging.getLogger(__name__) from torch.optim.optimizer import Optimizer from paragen.optim.optimizer import Optimizer from paragen.utils.rate_schedulers import create_rate_scheduler from paragen...
35.419048
112
0.633235
440
3,719
5.154545
0.284091
0.05291
0.028219
0.02381
0.179894
0.121693
0.056437
0.056437
0.056437
0.029101
0
0.004795
0.271041
3,719
104
113
35.759615
0.831796
0
0
0.046512
0
0
0.070199
0.006455
0
0
0
0
0
1
0.011628
false
0.023256
0.186047
0
0.209302
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
b7adb4099781c23875a3639ae37c4e4a5bb88239
2,860
py
Python
joyvillage/joy/views.py
IreneMercy/Joy-Village-Backup
f038e33aa5c28337bc20c6fcd3273ef37d283564
[ "MIT" ]
null
null
null
joyvillage/joy/views.py
IreneMercy/Joy-Village-Backup
f038e33aa5c28337bc20c6fcd3273ef37d283564
[ "MIT" ]
9
2021-03-19T09:58:55.000Z
2022-03-12T00:22:50.000Z
joyvillage/joy/views.py
IreneMercy/Joy-Foundation
f038e33aa5c28337bc20c6fcd3273ef37d283564
[ "MIT" ]
null
null
null
from __future__ import unicode_literals from django.shortcuts import render, redirect from django.http import HttpResponse, HttpResponseRedirect from .models import Events, Gallery, News, Careers, Partners from django.core.mail import send_mail,BadHeaderError from django.conf import settings from.forms import ContactFo...
29.484536
103
0.640909
316
2,860
5.702532
0.243671
0.059933
0.094895
0.024417
0.369589
0.369589
0.369589
0.369589
0.369589
0.369589
0
0.000462
0.242657
2,860
96
104
29.791667
0.831487
0
0
0.425
0
0
0.11958
0
0
0
0
0
0
1
0.125
false
0
0.1
0.0375
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
b7aff83ef7243e9bfde2d005caee3accba55ac07
612
py
Python
dataprep/tests/data_connector/test_integration.py
dylanzxc/dataprep
21ef62936eeec28495763f35fcb3cb07f71de6f6
[ "MIT" ]
1
2020-12-18T13:16:38.000Z
2020-12-18T13:16:38.000Z
dataprep/tests/data_connector/test_integration.py
bexxmodd/dataprep
3aaa626bfaf9270cf56ffb70280cbcd8031f3ac3
[ "MIT" ]
null
null
null
dataprep/tests/data_connector/test_integration.py
bexxmodd/dataprep
3aaa626bfaf9270cf56ffb70280cbcd8031f3ac3
[ "MIT" ]
null
null
null
from ...data_connector import Connector from os import environ def test_data_connector() -> None: token = environ["DATAPREP_DATA_CONNECTOR_YELP_TOKEN"] dc = Connector("yelp", _auth={"access_token": token}) df = dc.query("businesses", term="ramen", location="vancouver") assert len(df) > 0 dc.info...
24.48
81
0.666667
79
612
5.012658
0.405063
0.090909
0.068182
0.143939
0.401515
0.280303
0.280303
0
0
0
0
0.033932
0.181373
612
24
82
25.5
0.756487
0
0
0
0
0
0.215686
0.055556
0
0
0
0
0.285714
1
0.071429
false
0
0.142857
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
b7b0446dcbe64c12f7cc04baa8e64d8c7155c9fb
6,294
py
Python
plot_helpers.py
aspuru-guzik-group/QNODE
1ec3767c7b574eaeb7b0ec05d1be54983f8972bd
[ "MIT" ]
14
2021-11-06T19:32:56.000Z
2022-02-08T19:53:28.000Z
plot_helpers.py
aspuru-guzik-group/QNODE
1ec3767c7b574eaeb7b0ec05d1be54983f8972bd
[ "MIT" ]
null
null
null
plot_helpers.py
aspuru-guzik-group/QNODE
1ec3767c7b574eaeb7b0ec05d1be54983f8972bd
[ "MIT" ]
null
null
null
import os import torch import numpy as np import math import matplotlib.pyplot as plt from matplotlib import cm from qutip import * import imageio plt.rcParams['axes.labelsize'] = 16 from matplotlib import rc rc('font', **{'family': 'serif', 'serif': ['Computer Modern']}) rc('text', usetex=True) def animate_recon(xt,...
35.965714
167
0.58659
910
6,294
3.978022
0.223077
0.024309
0.033425
0.038674
0.450829
0.398343
0.375138
0.343923
0.298343
0.274586
0
0.023561
0.2245
6,294
174
168
36.172414
0.718091
0.06959
0
0.306122
0
0
0.122123
0
0
0
0
0
0
1
0.095238
false
0
0.061224
0
0.210884
0.013605
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
b7b1005f9392e0dbc05eef28e9be52e84c7d4a58
17,348
py
Python
state.py
Lekensteyn/wgll
11ac7925687bfc1866d3702f821230233fe3a8de
[ "MIT" ]
1
2021-11-27T17:29:43.000Z
2021-11-27T17:29:43.000Z
state.py
Lekensteyn/wgll
11ac7925687bfc1866d3702f821230233fe3a8de
[ "MIT" ]
null
null
null
state.py
Lekensteyn/wgll
11ac7925687bfc1866d3702f821230233fe3a8de
[ "MIT" ]
null
null
null
# State tracking for WireGuard protocol operations. # Author: Peter Wu <peter@lekensteyn.nl> # Licensed under the MIT license <http://opensource.org/licenses/MIT>. import base64 import hashlib import inspect import socket import traceback from noise_wg import NoiseWG, crypto_scalarmult_base, aead_encrypt, aead_decryp...
34.557769
85
0.606006
2,213
17,348
4.591957
0.131496
0.024601
0.016237
0.008266
0.286263
0.176245
0.139933
0.103523
0.082661
0.058453
0
0.020823
0.274729
17,348
501
86
34.626747
0.786838
0.057528
0
0.167095
0
0.005141
0.070063
0.002145
0
0
0
0
0.025707
1
0.156812
false
0
0.015424
0.046272
0.336761
0.012853
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
b7b264987ed766841bcdbbf47f7266aa100f16c2
8,942
py
Python
corehq/ex-submodules/couchforms/tests/test_analytics.py
caktus/commcare-hq
fae9c0f792b4889b768252d3895d9d1884ce0d3b
[ "BSD-3-Clause" ]
null
null
null
corehq/ex-submodules/couchforms/tests/test_analytics.py
caktus/commcare-hq
fae9c0f792b4889b768252d3895d9d1884ce0d3b
[ "BSD-3-Clause" ]
40
2021-07-20T15:55:08.000Z
2022-03-25T17:21:36.000Z
corehq/ex-submodules/couchforms/tests/test_analytics.py
caktus/commcare-hq
fae9c0f792b4889b768252d3895d9d1884ce0d3b
[ "BSD-3-Clause" ]
null
null
null
import datetime import uuid from django.test import TestCase from mock import patch from requests import ConnectionError from couchforms.analytics import ( app_has_been_submitted_to_in_last_30_days, domain_has_submission_in_last_30_days, get_all_xmlns_app_id_pairs_submitted_to_in_domain, get_exports_b...
40.645455
113
0.674122
1,142
8,942
4.921191
0.133975
0.030961
0.039858
0.029893
0.55605
0.467616
0.418861
0.345018
0.291281
0.285409
0
0.007594
0.219526
8,942
219
114
40.83105
0.797679
0
0
0.278947
0
0
0.129166
0.082756
0
0
0
0
0.052632
1
0.078947
false
0
0.105263
0
0.210526
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
b7b3ac20c4a0978bc24a666dd7cd9ac25c00bc3a
7,486
py
Python
amck/imat/download_data.py
aaronmckinstry706/imaterialist
ebed3f3bd9e231f0852aa30c7bbfafe94d5dbce1
[ "MIT" ]
null
null
null
amck/imat/download_data.py
aaronmckinstry706/imaterialist
ebed3f3bd9e231f0852aa30c7bbfafe94d5dbce1
[ "MIT" ]
null
null
null
amck/imat/download_data.py
aaronmckinstry706/imaterialist
ebed3f3bd9e231f0852aa30c7bbfafe94d5dbce1
[ "MIT" ]
null
null
null
# Parts of code taken from https://www.kaggle.com/aloisiodn/python-3-download-multi-proc-prog-bar-resume by Dourado. # Improvements on the original script: # * you can choose which dataset to download; # * uses threads instead of processes; # * unpacks data into .../label/id.jpg directory structure, which can be ...
41.821229
118
0.716137
1,024
7,486
5.017578
0.259766
0.045543
0.014013
0.023355
0.323667
0.264111
0.225963
0.199494
0.199494
0.183924
0
0.006487
0.176329
7,486
178
119
42.05618
0.826792
0.107534
0
0.251908
0
0.007634
0.191962
0.014997
0
0
0
0
0
1
0.022901
false
0.007634
0.091603
0
0.122137
0.007634
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
b7b56be6d7b0d5e174db26b106b5f7914f624c31
2,437
py
Python
tweet/common.py
skiwheelr/URS
45746c945af2ea62a5ddb675c6a8e4e2fe4b5a93
[ "MIT" ]
4
2021-02-15T02:02:38.000Z
2022-03-04T16:38:44.000Z
tweet/common.py
skiwheelr/URS
45746c945af2ea62a5ddb675c6a8e4e2fe4b5a93
[ "MIT" ]
null
null
null
tweet/common.py
skiwheelr/URS
45746c945af2ea62a5ddb675c6a8e4e2fe4b5a93
[ "MIT" ]
2
2021-02-11T01:10:27.000Z
2021-02-25T19:20:04.000Z
all import tweepy, config, users, re, groupy from tweepy import OAuthHandler from tweepy import API print(tweepy.__version__) auth = OAuthHandler(config.consumer_key, config.consumer_secret) auth.set_access_token(config.access_token,config.access_token_secret) api = tweepy.API(auth) from groupy.client import Client cli...
33.847222
120
0.636849
336
2,437
4.491071
0.235119
0.053678
0.071571
0.095427
0.616965
0.534129
0.493042
0.493042
0.493042
0.493042
0
0.012459
0.242511
2,437
71
121
34.323944
0.804984
0.116126
0
0.277778
0
0
0.082517
0
0
0
0
0
0
1
0.018519
false
0
0.074074
0
0.092593
0.111111
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b7b6119291ad7a11b8a2999460f70e3f10db60c8
8,486
py
Python
crystalpy/examples/PlotData1D.py
oasys-kit/crystalpy
4852851c622ef914844178577dea4075e92cd8dd
[ "MIT" ]
null
null
null
crystalpy/examples/PlotData1D.py
oasys-kit/crystalpy
4852851c622ef914844178577dea4075e92cd8dd
[ "MIT" ]
null
null
null
crystalpy/examples/PlotData1D.py
oasys-kit/crystalpy
4852851c622ef914844178577dea4075e92cd8dd
[ "MIT" ]
null
null
null
""" ---OK--- """ from collections import OrderedDict import copy import numpy as np from crystalpy.examples.Values import Interval class PlotData1D(object): """ Represents a 1D plot. The graph data together with related information. """ def __init__(self, title, title_x_axis, title_y_axis): ...
32.389313
111
0.582371
1,142
8,486
4.187391
0.165499
0.034504
0.013174
0.020075
0.375366
0.360937
0.28921
0.284609
0.254078
0.232748
0
0.005673
0.335258
8,486
261
112
32.51341
0.842049
0.363893
0
0.288288
0
0
0.067584
0.018773
0
0
0
0
0
1
0.126126
false
0
0.036036
0
0.243243
0.036036
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
b7b6cb22cdbe422b0a500a1606789a7d83af799b
38,534
py
Python
hs_file_types/models/geofeature.py
tommac7/hydroshare
87c4543a55f98103d2614bf4c47f7904c3f9c029
[ "BSD-3-Clause" ]
null
null
null
hs_file_types/models/geofeature.py
tommac7/hydroshare
87c4543a55f98103d2614bf4c47f7904c3f9c029
[ "BSD-3-Clause" ]
null
null
null
hs_file_types/models/geofeature.py
tommac7/hydroshare
87c4543a55f98103d2614bf4c47f7904c3f9c029
[ "BSD-3-Clause" ]
null
null
null
import os import logging import shutil import zipfile import xmltodict from lxml import etree from osgeo import ogr, osr from django.core.exceptions import ValidationError from django.db import models, transaction from django.utils.html import strip_tags from django.template import Template, Context from dominate.ta...
44.547977
100
0.61338
4,343
38,534
5.184204
0.12641
0.029314
0.027315
0.016789
0.284033
0.214524
0.138086
0.085321
0.047968
0.039129
0
0.004653
0.302849
38,534
864
101
44.599537
0.833457
0.175352
0
0.194444
0
0.001736
0.126272
0.015004
0
0
0
0
0
1
0.057292
false
0
0.032986
0.006944
0.166667
0.003472
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
b7b9397bbe8da7007b207fc6a20f4e6b29704b5a
1,313
py
Python
tests/test_node.py
mjholtkamp/py-iptree
97025f03247dbc91424898fd28f7be1448d5fce5
[ "Apache-2.0" ]
null
null
null
tests/test_node.py
mjholtkamp/py-iptree
97025f03247dbc91424898fd28f7be1448d5fce5
[ "Apache-2.0" ]
null
null
null
tests/test_node.py
mjholtkamp/py-iptree
97025f03247dbc91424898fd28f7be1448d5fce5
[ "Apache-2.0" ]
null
null
null
import unittest from iptree import IPNode class TestIPNode(unittest.TestCase): def test_node_ipv4(self): node = IPNode('0.0.0.0/0') node.add(IPNode('127.0.0.1/32')) assert '127.0.0.1/32' in node assert '192.0.2.1/32' not in node def test_node_ipv6(self): node = IPNode...
28.543478
62
0.552932
186
1,313
3.811828
0.268817
0.069111
0.062059
0.067701
0.239774
0.217207
0.090268
0.090268
0.090268
0.090268
0
0.095745
0.284082
1,313
45
63
29.177778
0.658511
0.039604
0
0.114286
0
0
0.146148
0
0
0
0
0
0.314286
1
0.142857
false
0
0.057143
0
0.228571
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
b7ba3cc002a49b7880bf396084b5e2214c7d5cdf
1,239
py
Python
locustfile_create_order.py
Ashutosh-Kaushik/ss-load-test-locust
286e3cecad39f5ce991717e117392332a9810d64
[ "Apache-2.0" ]
1
2022-03-31T05:34:33.000Z
2022-03-31T05:34:33.000Z
locustfile_create_order.py
Ashutosh-Kaushik/ss-load-test-locust
286e3cecad39f5ce991717e117392332a9810d64
[ "Apache-2.0" ]
null
null
null
locustfile_create_order.py
Ashutosh-Kaushik/ss-load-test-locust
286e3cecad39f5ce991717e117392332a9810d64
[ "Apache-2.0" ]
null
null
null
import csv import random import warnings import os from locust import HttpUser, task, between body = { "campaignid":"5kXk20gGDISJdM5el5IT", "walletamount":"0" } header = { "Host": "fkhapi.sastasundar.com", "Apptype": "N", "Appversion": "4.0.4", "Appversioncode": "109", "Deviceid": "81653d...
25.8125
88
0.637611
129
1,239
6.069767
0.775194
0.043423
0.051086
0
0
0
0
0
0
0
0
0.077612
0.188862
1,239
48
88
25.8125
0.701493
0
0
0
0
0
0.445161
0.064516
0
0
0
0
0
1
0.04878
false
0
0.121951
0
0.219512
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
b7bae45b9bc9f5897fbcca4960ef6f0a8e4b7699
1,358
py
Python
compy/plot/grid.py
tilleyd/compy
b63188341d0c66c0ecd810e29918e569c519b296
[ "MIT" ]
null
null
null
compy/plot/grid.py
tilleyd/compy
b63188341d0c66c0ecd810e29918e569c519b296
[ "MIT" ]
null
null
null
compy/plot/grid.py
tilleyd/compy
b63188341d0c66c0ecd810e29918e569c519b296
[ "MIT" ]
null
null
null
"""Contains the grid class to create multiple figures.""" from typing import Optional, Tuple from .figure import Figure import matplotlib.gridspec as gridspec import matplotlib.pyplot as plt class Grid: def __init__( self, rows: int, cols: int, size: Optional[Tuple[float, float]] = None ): ""...
29.521739
78
0.581001
172
1,358
4.552326
0.406977
0.038314
0.03576
0
0
0
0
0
0
0
0
0
0.310751
1,358
45
79
30.177778
0.836538
0.266568
0
0
0
0
0.005382
0
0
0
0
0
0
1
0.153846
false
0
0.153846
0
0.384615
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b7bb34b596fa5c54c79635a6e0d79f862d482ebf
30,005
py
Python
parallel_accel/shared/parallel_accel/shared/schemas/external.py
google/parallel_accel
b58fda1c3a22f2aaa9a97337d602cd72c49ee8be
[ "Apache-2.0" ]
1
2021-12-19T21:17:02.000Z
2021-12-19T21:17:02.000Z
parallel_accel/shared/parallel_accel/shared/schemas/external.py
google/parallel_accel
b58fda1c3a22f2aaa9a97337d602cd72c49ee8be
[ "Apache-2.0" ]
null
null
null
parallel_accel/shared/parallel_accel/shared/schemas/external.py
google/parallel_accel
b58fda1c3a22f2aaa9a97337d602cd72c49ee8be
[ "Apache-2.0" ]
null
null
null
# Copyright 2021 The ParallelAccel Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by ap...
28.549001
113
0.627629
3,021
30,005
6.139027
0.160212
0.028038
0.044484
0.020382
0.358244
0.305295
0.263507
0.238866
0.206406
0.162892
0
0.001882
0.256324
30,005
1,050
114
28.57619
0.829255
0.361673
0
0.241228
0
0
0.069854
0
0
0
0
0
0
1
0.048246
false
0
0.02193
0
0.337719
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
b7bb41a1d668770a899b52a1a2113000001bd07c
1,040
py
Python
godot-toolkit/godot_config_file.py
WiggleWizard/godot-toolkit
e17b7666ed80e3ab25ee65c43eb1ba9b13634070
[ "MIT" ]
null
null
null
godot-toolkit/godot_config_file.py
WiggleWizard/godot-toolkit
e17b7666ed80e3ab25ee65c43eb1ba9b13634070
[ "MIT" ]
null
null
null
godot-toolkit/godot_config_file.py
WiggleWizard/godot-toolkit
e17b7666ed80e3ab25ee65c43eb1ba9b13634070
[ "MIT" ]
null
null
null
try: from configparser import RawConfigParser except ImportError: from ConfigParser import RawConfigParser class GodotConfigFile(RawConfigParser): def write(self, fp): """Write an .ini-format representation of the configuration state.""" if self._defaults: fp.write("[%s]\n" % D...
41.6
79
0.5
116
1,040
4.405172
0.387931
0.09589
0.062622
0.052838
0.176125
0.109589
0.109589
0.109589
0.109589
0
0
0
0.325962
1,040
25
80
41.6
0.728959
0.060577
0
0.090909
0
0
0.063786
0
0
0
0
0
0
1
0.045455
false
0
0.136364
0
0.227273
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
b7bd5a3b425952bf3f2c75d16b604d8c223988c4
683
py
Python
DMOJ/CCC/escape room.py
eddiegz/Personal-C
f7869826216e5c665f8f646502141f0dc680e545
[ "MIT" ]
3
2021-05-15T08:18:09.000Z
2021-05-17T04:41:57.000Z
DMOJ/CCC/escape room.py
eddiegz/Personal-C
f7869826216e5c665f8f646502141f0dc680e545
[ "MIT" ]
null
null
null
DMOJ/CCC/escape room.py
eddiegz/Personal-C
f7869826216e5c665f8f646502141f0dc680e545
[ "MIT" ]
null
null
null
import collections def cal(num): i=1 f=factor[num] while i*i<=num: if num%i==0 and i<=max(n,m) and num//i<=max(n,m): f.append(i) i+=1 return num def dfs(i,j): if i==m-1 and j==n-1: return True if i>=m and j>=n or grid[i][j] in factor: ...
22.032258
58
0.513909
124
683
2.830645
0.314516
0.034188
0.02849
0.034188
0
0
0
0
0
0
0
0.023454
0.313324
683
30
59
22.766667
0.724947
0
0
0.148148
0
0
0.007657
0
0
0
0
0
0
1
0.074074
false
0
0.037037
0
0.296296
0.037037
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
b7bd809bb95458cc851905998de0d036112332ab
2,556
py
Python
volume_loader.py
xeTaiz/deep-volumetric-ambient-occlusion
8492ad957f1440d5bf93139f7cf9ee4c7997b0e2
[ "MIT" ]
9
2020-08-24T20:03:17.000Z
2022-02-17T07:38:55.000Z
volume_loader.py
xeTaiz/deep-volumetric-ambient-occlusion
8492ad957f1440d5bf93139f7cf9ee4c7997b0e2
[ "MIT" ]
null
null
null
volume_loader.py
xeTaiz/deep-volumetric-ambient-occlusion
8492ad957f1440d5bf93139f7cf9ee4c7997b0e2
[ "MIT" ]
1
2021-07-12T01:39:24.000Z
2021-07-12T01:39:24.000Z
import os import pydicom import numpy as np import dicom_numpy from utils import hidden_errors from tf_utils import * from pathlib import Path def read_dicom_folder(dicom_folder, rescale=None): ''' Reads all .dcm files in `dicom_folder` and merges them to one volume Returns: The volume and the affine...
44.068966
127
0.620892
349
2,556
4.358166
0.381089
0.050625
0.029586
0.018409
0.021039
0
0
0
0
0
0
0.007659
0.28482
2,556
57
128
44.842105
0.824398
0.214398
0
0
0
0
0.051829
0
0
0
0
0
0
1
0.116279
false
0
0.186047
0
0.372093
0.023256
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b7c03a0cfc79b571a75dfb907cc43fbd5d0b1bf0
5,056
py
Python
sudoku_solver/gui.py
andrewhalle/sudoku_solver
56b88c49a3637449507a9afa66ec3d617d2118a5
[ "MIT" ]
null
null
null
sudoku_solver/gui.py
andrewhalle/sudoku_solver
56b88c49a3637449507a9afa66ec3d617d2118a5
[ "MIT" ]
null
null
null
sudoku_solver/gui.py
andrewhalle/sudoku_solver
56b88c49a3637449507a9afa66ec3d617d2118a5
[ "MIT" ]
null
null
null
import sys from PyQt5.QtCore import Qt, QSize, QPoint from PyQt5.QtWidgets import QApplication, QDialog, QWidget, QLabel, QPushButton, QVBoxLayout, QHBoxLayout from PyQt5.QtGui import QPainter, QColor, QPen, QFont from .sudoku import Sudoku class SudokuWidget(QWidget): def __init__(self, parent=None): supe...
36.637681
135
0.585443
627
5,056
4.601276
0.23445
0.110572
0.103986
0.055459
0.295321
0.190988
0.139688
0.116464
0.112305
0.112305
0
0.035754
0.286392
5,056
137
136
36.905109
0.763858
0
0
0.193277
0
0
0.023932
0
0
0
0
0
0
1
0.07563
false
0
0.042017
0
0.168067
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
b7c06f515d7439b0a77375fbc6fb115fb4977fe1
1,042
py
Python
swarmlib/util/functions.py
nkoutsov/swarmlib
fa70a5d9de50de5dacd5d499eba3b6bb72c39c05
[ "BSD-3-Clause" ]
null
null
null
swarmlib/util/functions.py
nkoutsov/swarmlib
fa70a5d9de50de5dacd5d499eba3b6bb72c39c05
[ "BSD-3-Clause" ]
null
null
null
swarmlib/util/functions.py
nkoutsov/swarmlib
fa70a5d9de50de5dacd5d499eba3b6bb72c39c05
[ "BSD-3-Clause" ]
null
null
null
# ------------------------------------------------------------------------------------------------------ # Copyright (c) Leo Hanisch. All rights reserved. # Licensed under the BSD 3-Clause License. See LICENSE.txt in the project root for license information. # ---------------------------------------------------------...
33.612903
104
0.600768
114
1,042
5.377193
0.561404
0.114193
0.163132
0.11093
0
0
0
0
0
0
0
0.006719
0.142994
1,042
30
105
34.733333
0.679731
0.514395
0
0
0
0
0.026157
0
0
0
0
0
0
1
0.125
false
0
0.25
0.0625
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
b7c3aa3be6cad1fc615356fe4a0db24f49f796d6
898
py
Python
source/_sample/scipy/interp_spline_interest.py
showa-yojyo/notebook
82c15074c24d64a1dfcb70a526bc1deb2ecffe68
[ "MIT" ]
14
2016-04-13T08:10:02.000Z
2021-04-19T09:42:51.000Z
source/_sample/scipy/interp_spline_interest.py
showa-yojyo/note
5f262ecda3df132cb66206c465d16e174061d6b9
[ "MIT" ]
88
2017-09-27T15:07:05.000Z
2019-10-02T04:05:03.000Z
source/_sample/scipy/interp_spline_interest.py
showa-yojyo/note
5f262ecda3df132cb66206c465d16e174061d6b9
[ "MIT" ]
null
null
null
#!/usr/bin/env python """interp_spline_interest.py: Demonstrate spline interpolation. """ from scipy.interpolate import splrep, splev import numpy as np import matplotlib.pyplot as plt # pylint: disable=invalid-name # Interest rates of Jan, Feb, Mar, Jun, Dec. x = np.array([1, 2, 3, 6, 12]) y = np.array([0.080, 0.100...
24.944444
63
0.679287
148
898
4.101351
0.581081
0.019769
0
0
0
0
0
0
0
0
0
0.055128
0.131403
898
35
64
25.657143
0.723077
0.2951
0
0
0
0
0.185484
0
0
0
0
0
0
1
0
false
0
0.157895
0
0.157895
0.263158
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
b7c3bf02cb16b87bf7d4abf283104f4f08eda387
1,351
py
Python
Pytorch/Scratch CNN and Pytorch/part1-convnet/tests/test_sgd.py
Kuga23/Deep-Learning
86980338208c702b6bfcbcfffdb18498e389a56b
[ "MIT" ]
3
2022-01-16T14:46:57.000Z
2022-02-20T22:40:16.000Z
Pytorch/Scratch CNN and Pytorch/part1-convnet/tests/test_sgd.py
Kuga23/Deep-Learning
86980338208c702b6bfcbcfffdb18498e389a56b
[ "MIT" ]
null
null
null
Pytorch/Scratch CNN and Pytorch/part1-convnet/tests/test_sgd.py
Kuga23/Deep-Learning
86980338208c702b6bfcbcfffdb18498e389a56b
[ "MIT" ]
6
2021-09-29T11:42:37.000Z
2022-02-02T02:33:51.000Z
import unittest import numpy as np from optimizer import SGD from modules import ConvNet from .utils import * class TestSGD(unittest.TestCase): """ The class containing all test cases for this assignment""" def setUp(self): """Define the functions to be tested here.""" pass def test_sgd(s...
28.744681
104
0.624722
180
1,351
4.627778
0.416667
0.076831
0.057623
0.038415
0.398559
0.348139
0.348139
0.252101
0.252101
0.177671
0
0.041584
0.252406
1,351
46
105
29.369565
0.783168
0.091044
0
0.451613
0
0
0.058581
0.037954
0
0
0
0
0.064516
1
0.064516
false
0.032258
0.16129
0
0.258065
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
b7c4849c094e9c707d5b2331ea5e37f6828cbb6d
1,583
py
Python
题源分类/LeetCode/LeetCode日刷/python/47.全排列-ii.py
ZhengyangXu/Algorithm-Daily-Practice
3017a3d476fc9a857026190ea4fae2911058df59
[ "MIT" ]
null
null
null
题源分类/LeetCode/LeetCode日刷/python/47.全排列-ii.py
ZhengyangXu/Algorithm-Daily-Practice
3017a3d476fc9a857026190ea4fae2911058df59
[ "MIT" ]
null
null
null
题源分类/LeetCode/LeetCode日刷/python/47.全排列-ii.py
ZhengyangXu/Algorithm-Daily-Practice
3017a3d476fc9a857026190ea4fae2911058df59
[ "MIT" ]
null
null
null
# # @lc app=leetcode.cn id=47 lang=python3 # # [47] 全排列 II # # https://leetcode-cn.com/problems/permutations-ii/description/ # # algorithms # Medium (59.58%) # Likes: 371 # Dislikes: 0 # Total Accepted: 78.7K # Total Submissions: 132.1K # Testcase Example: '[1,1,2]' # # 给定一个可包含重复数字的序列,返回所有不重复的全排列。 # # 示例: # # ...
21.986111
67
0.475679
193
1,583
3.917098
0.378238
0.039683
0.011905
0.099206
0.195767
0.166667
0.119048
0.119048
0.119048
0.119048
0
0.038961
0.367656
1,583
71
68
22.295775
0.713287
0.421984
0
0.090909
0
0
0
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
b7c83d7466393b727423c1185dc55c5006258a81
859
py
Python
anand.py
kyclark/py-grepper
ca7a17b1ffc2d666d62da6c80eb4cbc0bd2e547e
[ "MIT" ]
null
null
null
anand.py
kyclark/py-grepper
ca7a17b1ffc2d666d62da6c80eb4cbc0bd2e547e
[ "MIT" ]
null
null
null
anand.py
kyclark/py-grepper
ca7a17b1ffc2d666d62da6c80eb4cbc0bd2e547e
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 import os orderNumbers = open("orders.txt", "r") #Order numbers to match #Network path to a directory of files that has full details of the order directoryEntries = os.scandir("") outputFile = open("matchedData.dat", "w") for entry in directoryEntries: print("Currently parsing file ", en...
31.814815
76
0.696158
117
859
5.111111
0.538462
0.035117
0.026756
0
0
0
0
0
0
0
0
0.004451
0.215367
859
26
77
33.038462
0.882789
0.349243
0
0
0
0
0.099458
0
0
0
0
0
0
1
0
false
0
0.058824
0
0.058824
0.117647
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
b7c97b1397f5b96121b2b0909bc775d38cbcd523
2,968
py
Python
tests/test_manager.py
Vizzuality/cog_worker
ae12d2fc42945fedfea4a22394247db9a73d867e
[ "MIT" ]
24
2021-08-23T14:51:02.000Z
2021-12-20T09:45:10.000Z
tests/test_manager.py
Vizzuality/cog_worker
ae12d2fc42945fedfea4a22394247db9a73d867e
[ "MIT" ]
null
null
null
tests/test_manager.py
Vizzuality/cog_worker
ae12d2fc42945fedfea4a22394247db9a73d867e
[ "MIT" ]
1
2021-08-24T01:09:36.000Z
2021-08-24T01:09:36.000Z
import pytest import rasterio as rio from rasterio.io import DatasetWriter from cog_worker import Manager from rasterio import MemoryFile, crs TEST_COG = "tests/roads_cog.tif" @pytest.fixture def molleweide_manager(): return Manager( proj="+proj=moll", scale=50000, ) @pytest.fixture def sam...
31.913978
83
0.686995
380
2,968
5.165789
0.273684
0.190525
0.058584
0.078961
0.239429
0.147733
0.147733
0.147733
0.091696
0.056037
0
0.061966
0.21159
2,968
92
84
32.26087
0.776923
0
0
0.161765
0
0
0.075809
0
0
0
0
0
0.191176
1
0.176471
false
0
0.073529
0.029412
0.294118
0.014706
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b7c9f4fcfbbd13ff61698bd25e58c747a3f4a5c0
1,031
py
Python
CLIP/experiments/tagger/main_binary.py
ASAPP-H/clip2
e8ba2a3cf4be01ec26bde5107c5a2813bddf8a3b
[ "MIT" ]
null
null
null
CLIP/experiments/tagger/main_binary.py
ASAPP-H/clip2
e8ba2a3cf4be01ec26bde5107c5a2813bddf8a3b
[ "MIT" ]
3
2021-09-08T02:07:49.000Z
2022-03-12T00:33:51.000Z
CLIP/experiments/tagger/main_binary.py
ASAPP-H/clip2
e8ba2a3cf4be01ec26bde5107c5a2813bddf8a3b
[ "MIT" ]
null
null
null
from train import train_model from utils import * import os import sys pwd = os.environ.get('CLIP_DIR') DATA_DIR = "%s/data/processed/" % pwd exp_name = "non_multilabel" run_name = "sentence_structurel_with_crf" train_file_name = "MIMIC_train_binary.csv" dev_file_name = "MIMIC_val_binary.csv" test_file_name = "test_b...
25.775
72
0.696411
148
1,031
4.466216
0.439189
0.072617
0.09531
0.104387
0.172466
0.172466
0.172466
0.172466
0
0
0
0.007134
0.184287
1,031
39
73
26.435897
0.778835
0
0
0
0
0
0.198836
0.084384
0
0
0
0
0
1
0.030303
false
0
0.121212
0
0.151515
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b7cb98a29e28bbca96a3da9a3ddecb43eea2b232
2,918
py
Python
hytra/plugins/transition_feature_vector_construction/transition_feature_subtraction.py
m-novikov/hytra
0dc28deaa2571fa8bea63ca178f0e53cc1cd7508
[ "MIT" ]
null
null
null
hytra/plugins/transition_feature_vector_construction/transition_feature_subtraction.py
m-novikov/hytra
0dc28deaa2571fa8bea63ca178f0e53cc1cd7508
[ "MIT" ]
null
null
null
hytra/plugins/transition_feature_vector_construction/transition_feature_subtraction.py
m-novikov/hytra
0dc28deaa2571fa8bea63ca178f0e53cc1cd7508
[ "MIT" ]
null
null
null
from hytra.pluginsystem import transition_feature_vector_construction_plugin import numpy as np from compiler.ast import flatten class TransitionFeaturesSubtraction( transition_feature_vector_construction_plugin.TransitionFeatureVectorConstructionPlugin ): """ Computes the subtraction of features in the f...
35.585366
91
0.48732
208
2,918
6.798077
0.346154
0.127298
0.118812
0.114569
0.528996
0.471004
0.471004
0.471004
0.471004
0.471004
0
0.003683
0.441741
2,918
81
92
36.024691
0.864334
0.031186
0
0.454545
0
0
0.064034
0.009605
0
0
0
0
0.136364
1
0.030303
false
0
0.045455
0
0.121212
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
b7cbae55dbd90dfb87f2e9c515ec5098f54466ea
5,438
py
Python
sprites/player.py
hectorpadin1/FICGames
6d75c3ef74f0d6d2881021833fe06cd67e207ab1
[ "MIT" ]
null
null
null
sprites/player.py
hectorpadin1/FICGames
6d75c3ef74f0d6d2881021833fe06cd67e207ab1
[ "MIT" ]
null
null
null
sprites/player.py
hectorpadin1/FICGames
6d75c3ef74f0d6d2881021833fe06cd67e207ab1
[ "MIT" ]
1
2022-03-29T15:38:18.000Z
2022-03-29T15:38:18.000Z
from matplotlib.style import available import pygame as pg from sprites.character import Character from pygame.math import Vector2 from settings import * from math import cos, pi from control import Controler from sprites.gun import MachineGun, Pistol, Rifle from managers.resourcemanager import ResourceManager as GR fr...
36.743243
142
0.590291
645
5,438
4.891473
0.249612
0.055784
0.068463
0.10935
0.293185
0.247861
0.202536
0.184786
0.163233
0.139778
0
0.013955
0.301581
5,438
148
143
36.743243
0.816746
0.087164
0
0.290909
0
0
0.014742
0
0
0
0
0
0
1
0.045455
false
0
0.090909
0
0.172727
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
b7cc1da3745ec1958d532f60dd1185d8b2057b84
10,198
py
Python
mytardisbf/migrations/0001_initial_data.py
keithschulze/mytardisbf
cc15fc9af89cf96c4d860c41fe5b0f366d4ee0d6
[ "MIT" ]
2
2020-07-09T01:21:00.000Z
2022-02-06T17:33:57.000Z
mytardisbf/migrations/0001_initial_data.py
keithschulze/mytardisbf
cc15fc9af89cf96c4d860c41fe5b0f366d4ee0d6
[ "MIT" ]
14
2015-07-21T05:12:58.000Z
2017-11-16T10:46:30.000Z
mytardisbf/migrations/0001_initial_data.py
keithschulze/mytardisbf
cc15fc9af89cf96c4d860c41fe5b0f366d4ee0d6
[ "MIT" ]
4
2015-08-04T10:57:29.000Z
2017-11-28T10:50:33.000Z
# -*- coding: utf-8 -*- from django.db import migrations from tardis.tardis_portal.models import ( Schema, ParameterName, DatafileParameter, DatafileParameterSet ) from mytardisbf.apps import ( OMESCHEMA, BFSCHEMA ) def forward_func(apps, schema_editor): """Create mytardisbf schemas and pa...
24.995098
80
0.499314
886
10,198
5.507901
0.132054
0.044467
0.083197
0.11291
0.706352
0.7
0.7
0.650615
0.621721
0.557787
0
0.018942
0.39949
10,198
407
81
25.056511
0.777923
0.010983
0
0.650138
0
0
0.073052
0
0
0
0
0
0
1
0.008264
false
0
0.008264
0
0.024793
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
b7d02035de2ed671a7db2b55074f9e4dd487d817
9,616
py
Python
tests/scripts/thread-cert/border_router/MATN_05_ReregistrationToSameMulticastGroup.py
kkasperczyk-no/sdk-openthread
385e19da1ae15f27872c2543b97276a42f102ead
[ "BSD-3-Clause" ]
null
null
null
tests/scripts/thread-cert/border_router/MATN_05_ReregistrationToSameMulticastGroup.py
kkasperczyk-no/sdk-openthread
385e19da1ae15f27872c2543b97276a42f102ead
[ "BSD-3-Clause" ]
null
null
null
tests/scripts/thread-cert/border_router/MATN_05_ReregistrationToSameMulticastGroup.py
kkasperczyk-no/sdk-openthread
385e19da1ae15f27872c2543b97276a42f102ead
[ "BSD-3-Clause" ]
null
null
null
#!/usr/bin/env python3 # # Copyright (c) 2021, The OpenThread Authors. # 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 # ...
39.089431
119
0.629992
1,262
9,616
4.61252
0.250396
0.013915
0.042433
0.022848
0.469679
0.452843
0.449923
0.399244
0.379316
0.360763
0
0.030679
0.271215
9,616
245
120
39.24898
0.799943
0.419821
0
0.361538
0
0
0.067115
0.01255
0
0
0
0
0.053846
1
0.015385
false
0
0.053846
0
0.092308
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
b7d0fb3e2eab434c02f0ab81e51febbe5297c8ae
3,457
py
Python
senseye_cameras/input/camera_pylon.py
senseye-inc/senseye-cameras
9d9cdb95e64aaa8d08aa56bd9a79641263e65940
[ "BSD-3-Clause" ]
5
2020-03-20T17:07:35.000Z
2022-01-25T23:48:52.000Z
senseye_cameras/input/camera_pylon.py
senseye-inc/senseye-cameras
9d9cdb95e64aaa8d08aa56bd9a79641263e65940
[ "BSD-3-Clause" ]
5
2020-03-05T20:55:06.000Z
2022-03-24T22:41:56.000Z
senseye_cameras/input/camera_pylon.py
senseye-inc/senseye-cameras
9d9cdb95e64aaa8d08aa56bd9a79641263e65940
[ "BSD-3-Clause" ]
null
null
null
import time import logging try: from pypylon import pylon except: pylon = None from . input import Input log = logging.getLogger(__name__) # writes the framenumber to the 8-11 bytes of the image as a big-endian set of octets def encode_framenumber(np_image, n): for i in range(4): np_image[0][i+7]...
33.563107
102
0.60486
422
3,457
4.879147
0.362559
0.08305
0.043711
0.020398
0.112676
0.074794
0.045653
0.045653
0.045653
0.045653
0
0.010212
0.291872
3,457
102
103
33.892157
0.830882
0.203645
0
0.071429
0
0
0.06934
0
0
0
0.002999
0
0
1
0.1
false
0
0.071429
0
0.2
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
b7d28e8d5b3bd12fe72a9a971fff5626e0a64791
3,100
py
Python
vise/tests/util/phonopy/test_phonopy_input.py
kumagai-group/vise
8adfe61ad8f31767ec562f02f271e2495f357cd4
[ "MIT" ]
16
2020-07-14T13:14:05.000Z
2022-03-04T13:39:30.000Z
vise/tests/util/phonopy/test_phonopy_input.py
kumagai-group/vise
8adfe61ad8f31767ec562f02f271e2495f357cd4
[ "MIT" ]
10
2021-03-15T20:47:45.000Z
2021-08-19T00:47:12.000Z
vise/tests/util/phonopy/test_phonopy_input.py
kumagai-group/vise
8adfe61ad8f31767ec562f02f271e2495f357cd4
[ "MIT" ]
6
2020-03-03T00:42:39.000Z
2022-02-22T02:34:47.000Z
# -*- coding: utf-8 -*- # Copyright (c) 2021. Distributed under the terms of the MIT License. from phonopy.interface.calculator import read_crystal_structure from phonopy.structure.atoms import PhonopyAtoms from vise.util.phonopy.phonopy_input import structure_to_phonopy_atoms import numpy as np def assert_same_phon...
41.333333
73
0.59
341
3,100
5.099707
0.231672
0.027602
0.029327
0.025302
0.522714
0.466935
0.414031
0.346751
0.346751
0.346751
0
0.029144
0.291613
3,100
74
74
41.891892
0.76275
0.557742
0
0
0
0
0.014286
0
0
0
0
0
0.222222
1
0.111111
false
0
0.148148
0
0.259259
0.111111
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b7d2c3d5b85f7571232ad665184ca7a2e111ef5a
1,419
py
Python
2020/day15.py
andypymont/adventofcode
912aa48fc5b31ec9202fb9654380991fc62afcd1
[ "MIT" ]
null
null
null
2020/day15.py
andypymont/adventofcode
912aa48fc5b31ec9202fb9654380991fc62afcd1
[ "MIT" ]
null
null
null
2020/day15.py
andypymont/adventofcode
912aa48fc5b31ec9202fb9654380991fc62afcd1
[ "MIT" ]
null
null
null
""" 2020 Day 15 https://adventofcode.com/2020/day/15 """ from collections import deque from typing import Dict, Iterable, Optional import aocd # type: ignore class ElfMemoryGame: def __init__(self, starting_numbers: Iterable[int]): self.appearances: Dict[int, deque[int]] = {} self.length = 0 ...
25.8
82
0.621564
181
1,419
4.745856
0.39779
0.093132
0.031432
0
0
0
0
0
0
0
0
0.034807
0.250881
1,419
54
83
26.277778
0.773283
0.090909
0
0
0
0
0.038674
0
0
0
0
0
0
1
0.176471
false
0
0.088235
0.029412
0.352941
0.058824
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b7d54fe8e9a77f05bf236b9a737834d1a8f3821a
5,719
py
Python
gqn_v2/gqn_predictor.py
goodmattg/tf-gqn
a2088761f11a9806500dcaf28edc28ecd7fc514e
[ "Apache-2.0" ]
null
null
null
gqn_v2/gqn_predictor.py
goodmattg/tf-gqn
a2088761f11a9806500dcaf28edc28ecd7fc514e
[ "Apache-2.0" ]
null
null
null
gqn_v2/gqn_predictor.py
goodmattg/tf-gqn
a2088761f11a9806500dcaf28edc28ecd7fc514e
[ "Apache-2.0" ]
null
null
null
""" Contains a canned predictor for a GQN. """ import os import json import numpy as np import tensorflow as tf from .gqn_graph import gqn_draw from .gqn_params import create_gqn_config def _normalize_pose(pose): """ Converts a camera pose into the GQN format. Args: pose: [x, y, z, yaw, pitch]; x, y, z i...
36.660256
110
0.652736
874
5,719
4.022883
0.21167
0.037827
0.03413
0.012514
0.338737
0.292093
0.254551
0.229807
0.214164
0.214164
0
0.01415
0.209127
5,719
155
111
36.896774
0.76321
0.228012
0
0.154639
0
0
0.093618
0
0
0
0
0
0.051546
1
0.072165
false
0
0.061856
0
0.185567
0.030928
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
b7d6284562e6fc98442dc3568881e4543f4597b6
6,054
py
Python
mamba/post_solve_handling.py
xhochy/mamba
249546a95abf358f116cc1b546bfb51e427001fd
[ "BSD-3-Clause" ]
null
null
null
mamba/post_solve_handling.py
xhochy/mamba
249546a95abf358f116cc1b546bfb51e427001fd
[ "BSD-3-Clause" ]
null
null
null
mamba/post_solve_handling.py
xhochy/mamba
249546a95abf358f116cc1b546bfb51e427001fd
[ "BSD-3-Clause" ]
null
null
null
# -*- coding: utf-8 -*- # Copyright (C) 2019, QuantStack # SPDX-License-Identifier: BSD-3-Clause from conda.base.constants import DepsModifier, UpdateModifier from conda._vendor.boltons.setutils import IndexedSet from conda.core.prefix_data import PrefixData from conda.models.prefix_graph import PrefixGraph from conda...
47.669291
96
0.652296
827
6,054
4.53688
0.258767
0.063433
0.066631
0.019989
0.216418
0.135128
0.120203
0.085821
0.060768
0.045842
0
0.001832
0.278824
6,054
126
97
48.047619
0.857536
0.518335
0
0.090909
0
0
0
0
0
0
0
0.007937
0
1
0.022727
false
0
0.136364
0
0.227273
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
b7d668041de4ae36e76a177a55158ac9e8eab418
264
py
Python
Young Physicist.py
techonair/Codeforces
1f854424e2de69ea4fdf7c6cde8ab04eddfb4566
[ "MIT" ]
null
null
null
Young Physicist.py
techonair/Codeforces
1f854424e2de69ea4fdf7c6cde8ab04eddfb4566
[ "MIT" ]
null
null
null
Young Physicist.py
techonair/Codeforces
1f854424e2de69ea4fdf7c6cde8ab04eddfb4566
[ "MIT" ]
null
null
null
num = input() lucky = 0 for i in num: if i == '4' or i == '7': lucky += 1 counter = 0 for c in str(lucky): if c == '4' or c == '7': counter += 1 if counter == len(str(lucky)): print("YES") else: print("NO")
11
30
0.431818
41
264
2.780488
0.487805
0.070175
0
0
0
0
0
0
0
0
0
0.049689
0.390152
264
23
31
11.478261
0.658385
0
0
0
0
0
0.034483
0
0
0
0
0
0
1
0
false
0
0
0
0
0.153846
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
b7d7bf07253855c146dc1edf490b5b90c54ec05e
477
py
Python
snakebids/utils/__init__.py
tkkuehn/snakebids
641026ea91c84c4403f0a654d2aaf2bfa50eaa19
[ "MIT" ]
null
null
null
snakebids/utils/__init__.py
tkkuehn/snakebids
641026ea91c84c4403f0a654d2aaf2bfa50eaa19
[ "MIT" ]
null
null
null
snakebids/utils/__init__.py
tkkuehn/snakebids
641026ea91c84c4403f0a654d2aaf2bfa50eaa19
[ "MIT" ]
null
null
null
from snakebids.utils.output import ( Mode, get_time_hash, prepare_output, retrofit_output, write_config_file, write_output_mode, ) from snakebids.utils.snakemake_io import ( glob_wildcards, regex, update_wildcard_constraints, ) __all__ = [ "Mode", "get_time_hash", "glob_...
18.346154
42
0.681342
52
477
5.730769
0.442308
0.087248
0.120805
0.100671
0.201342
0.201342
0
0
0
0
0
0
0.220126
477
25
43
19.08
0.801075
0
0
0
0
0
0.264151
0.056604
0
0
0
0
0
1
0
false
0
0.083333
0
0.083333
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
b7d83061ac773421e6029dc4c038d3f9bc4b0679
659
py
Python
examples/custom_renderer/custom_renderer.py
victorbenichoux/vizno
87ed98f66914a27e4b71d835734ca2a17a09412f
[ "MIT" ]
5
2020-12-02T08:46:06.000Z
2022-01-15T12:58:27.000Z
examples/custom_renderer/custom_renderer.py
victorbenichoux/vizno
87ed98f66914a27e4b71d835734ca2a17a09412f
[ "MIT" ]
null
null
null
examples/custom_renderer/custom_renderer.py
victorbenichoux/vizno
87ed98f66914a27e4b71d835734ca2a17a09412f
[ "MIT" ]
null
null
null
import pydantic from vizno.renderers import ContentConfiguration, render from vizno.report import Report class CustomObject(pydantic.BaseModel): parameter: int class CustomRenderConfiguration(ContentConfiguration): parameter: int @render.register def _(obj: CustomObject): return CustomRenderConfigura...
19.969697
56
0.728376
69
659
6.913043
0.521739
0.037736
0.079665
0.1174
0
0
0
0
0
0
0
0.01087
0.162367
659
32
57
20.59375
0.853261
0
0
0.173913
0
0
0.130501
0
0
0
0
0
0
1
0.043478
false
0
0.130435
0.043478
0.391304
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b7da270be2ee04de235dd0dfc5b966c52ba7cf65
35,831
py
Python
Wrangle OSM Dataset.py
Boykai/Project-3-Wrangle-OpenStreetMap-Dataset
493a4346ae12fb0fe853d4d07e4e8b03ef6a430f
[ "MIT" ]
1
2017-09-01T11:07:26.000Z
2017-09-01T11:07:26.000Z
Wrangle OSM Dataset.py
Boykai/Project-3-Wrangle-OpenStreetMap-Dataset
493a4346ae12fb0fe853d4d07e4e8b03ef6a430f
[ "MIT" ]
null
null
null
Wrangle OSM Dataset.py
Boykai/Project-3-Wrangle-OpenStreetMap-Dataset
493a4346ae12fb0fe853d4d07e4e8b03ef6a430f
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- ''' Created on Tue Jan 17 16:19:36 2017 @author: Boykai ''' #!/usr/bin/env python # -*- coding: utf-8 -*- import xml.etree.cElementTree as ET # Use cElementTree or lxml if too slow from collections import defaultdict import re import pprint import string import codecs import json import os f...
40.996568
127
0.471966
3,430
35,831
4.833236
0.177551
0.015683
0.013753
0.008686
0.31578
0.270298
0.231994
0.170708
0.160755
0.134033
0
0.016922
0.434317
35,831
874
128
40.996568
0.800977
0.252268
0
0.155419
0
0.006135
0.160587
0.010278
0
0
0
0
0
1
0.05317
false
0.006135
0.018405
0
0.114519
0.108384
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
b7defbba24700ce1dff5cfd0c991ccf13a0c39e0
1,857
py
Python
part-2/2-iterators/Example-consuming_iterators_manually.py
boconlonton/python-deep-dive
c01591a4943c7b77d4d2cd90a8b23423280367a3
[ "MIT" ]
null
null
null
part-2/2-iterators/Example-consuming_iterators_manually.py
boconlonton/python-deep-dive
c01591a4943c7b77d4d2cd90a8b23423280367a3
[ "MIT" ]
null
null
null
part-2/2-iterators/Example-consuming_iterators_manually.py
boconlonton/python-deep-dive
c01591a4943c7b77d4d2cd90a8b23423280367a3
[ "MIT" ]
null
null
null
""" Consuming Iterator manually """ from collections import namedtuple def cast(data_type, value): """Cast the value into a correct data type""" if data_type == 'DOUBLE': return float(value) elif data_type == 'STRING': return str(value) elif data_type == 'INT': return int(value...
27.308824
58
0.525579
228
1,857
4.135965
0.223684
0.057264
0.104984
0.079533
0.544008
0.544008
0.482503
0.446448
0.398727
0.398727
0
0.004688
0.310716
1,857
67
59
27.716418
0.732031
0.548196
0
0
0
0
0.044081
0
0
0
0
0
0
1
0.083333
false
0
0.041667
0.041667
0.291667
0.041667
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
b7dfa49c85bfb3c402f6a966ce46d040dfc275f6
1,675
py
Python
instance_server/services/startpage.py
Geierhaas/developer-observatory
f2e840ab9a283ea82353a8c5bbb6b1905567fbe4
[ "MIT" ]
4
2017-08-26T04:51:52.000Z
2022-01-02T23:07:48.000Z
instance_server/services/startpage.py
Geierhaas/developer-observatory
f2e840ab9a283ea82353a8c5bbb6b1905567fbe4
[ "MIT" ]
3
2020-11-04T11:13:55.000Z
2021-03-08T19:47:52.000Z
instance_server/services/startpage.py
Geierhaas/developer-observatory
f2e840ab9a283ea82353a8c5bbb6b1905567fbe4
[ "MIT" ]
6
2017-10-24T14:44:05.000Z
2022-01-13T14:26:05.000Z
#! Copyright (C) 2017 Christian Stransky #! #! This software may be modified and distributed under the terms #! of the MIT license. See the LICENSE file for details. from flask import Flask, redirect, request, make_response from shutil import copyfile import json import requests import os.path import uuid ...
34.183673
110
0.677612
238
1,675
4.596639
0.453782
0.058501
0.032907
0.031079
0.056673
0.056673
0.056673
0.056673
0
0
0
0.011538
0.223881
1,675
48
111
34.895833
0.83
0.30806
0
0
0
0
0.139873
0.090827
0
0
0
0
0
1
0.033333
false
0
0.233333
0
0.3
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b7e02aed4c2632acfe7ae12115128aac02a396d3
672
py
Python
utils/linalg.py
cimat-ris/TrajectoryInference
27d1d2d692df52b403cf6557ecba628f818cd380
[ "Apache-2.0" ]
6
2019-11-05T00:56:06.000Z
2021-12-05T21:11:14.000Z
utils/linalg.py
cimat-ris/TrajectoryInference
27d1d2d692df52b403cf6557ecba628f818cd380
[ "Apache-2.0" ]
2
2021-05-22T11:16:45.000Z
2021-05-31T00:42:07.000Z
utils/linalg.py
cimat-ris/TrajectoryInference
27d1d2d692df52b403cf6557ecba628f818cd380
[ "Apache-2.0" ]
1
2021-05-22T10:35:18.000Z
2021-05-22T10:35:18.000Z
import numpy as np import math import logging from termcolor import colored # Check a matrix for: negative eigenvalues, asymmetry and negative diagonal values def positive_definite(M,epsilon = 0.000001,verbose=False): # Symmetrization Mt = np.transpose(M) M = (M + Mt)/2 eigenvalues = np.linalg.eigvals(...
29.217391
82
0.616071
88
672
4.693182
0.5
0.09201
0.029056
0.053269
0.140436
0
0
0
0
0
0
0.027426
0.294643
672
22
83
30.545455
0.843882
0.141369
0
0.210526
0
0
0.080139
0
0
0
0
0
0
1
0.052632
false
0
0.210526
0
0.421053
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
b7e0fbad2360576b896a69e1a30c6d6156b68c38
282
py
Python
problemsets/Codeforces/Python/A1020.py
juarezpaulino/coderemite
a4649d3f3a89d234457032d14a6646b3af339ac1
[ "Apache-2.0" ]
null
null
null
problemsets/Codeforces/Python/A1020.py
juarezpaulino/coderemite
a4649d3f3a89d234457032d14a6646b3af339ac1
[ "Apache-2.0" ]
null
null
null
problemsets/Codeforces/Python/A1020.py
juarezpaulino/coderemite
a4649d3f3a89d234457032d14a6646b3af339ac1
[ "Apache-2.0" ]
null
null
null
""" * * Author: Juarez Paulino(coderemite) * Email: juarez.paulino@gmail.com * """ I=lambda:map(int,input().split()) f=abs n,_,a,b,k=I() while k: p,q,u,v=I() P=[a,b] if a<=q<=b:P+=[q] if a<=v<=b:P+=[v] print([min(f(q-x)+f(v-x)for x in P)+f(p-u),f(q-v)][p==u]) k-=1
17.625
59
0.521277
66
282
2.212121
0.469697
0.178082
0
0
0
0
0
0
0
0
0
0.004202
0.156028
282
16
60
17.625
0.609244
0.265957
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0
0
0
0.1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b7e377e1a140ad61d79142b999a2e7a703c9e2ef
1,284
py
Python
idact/detail/config/validation/validate_scratch.py
intdata-bsc/idact
54cb65a711c145351e205970c27c83e6393cccf5
[ "MIT" ]
5
2018-12-06T15:40:34.000Z
2019-06-19T11:22:58.000Z
idact/detail/config/validation/validate_scratch.py
garstka/idact
b9c8405c94db362c4a51d6bfdf418b14f06f0da1
[ "MIT" ]
9
2018-12-06T16:35:26.000Z
2019-04-28T19:01:40.000Z
idact/detail/config/validation/validate_scratch.py
intdata-bsc/idact
54cb65a711c145351e205970c27c83e6393cccf5
[ "MIT" ]
2
2019-04-28T19:18:58.000Z
2019-06-17T06:56:28.000Z
"""This module contains a function for validating a scratch config entry.""" import re from idact.detail.config.validation.validation_error_message import \ validation_error_message VALID_SCRATCH_DESCRIPTION = 'Non-empty absolute path, or environment' \ ' variable name.' VALID_SCRATC...
29.181818
96
0.660436
148
1,284
5.547297
0.52027
0.116931
0.107186
0.065773
0.241169
0.241169
0.241169
0.241169
0.241169
0.241169
0
0.002073
0.248442
1,284
43
97
29.860465
0.848705
0.273364
0
0.380952
0
0
0.114155
0.03653
0
0
0
0
0
1
0.047619
false
0
0.095238
0
0.190476
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