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
3254729c0575b8bd980f42074c2cb939b0ad6cf0
1,382
py
Python
problems/p012.py
10jmellott/ProjectEuler
eb84d129bbc37ba10ad7814ad2138d81568e0085
[ "Unlicense" ]
null
null
null
problems/p012.py
10jmellott/ProjectEuler
eb84d129bbc37ba10ad7814ad2138d81568e0085
[ "Unlicense" ]
null
null
null
problems/p012.py
10jmellott/ProjectEuler
eb84d129bbc37ba10ad7814ad2138d81568e0085
[ "Unlicense" ]
null
null
null
"""<a href="https://projecteuler.net/problem=12" class="title-custom-link">Highly divisible triangular number</a> The sequence of triangle numbers is generated by adding the natural numbers. So the 7th triangle number would be 1 + 2 + 3 + 4 + 5 + 6 + 7 = 28. The first ten terms would be: 1, 3, 6, 10, 15, 21, 28, 36,...
32.139535
113
0.664978
223
1,382
4.06278
0.457399
0.011038
0.01766
0.048565
0.07947
0.07947
0.07947
0.07947
0
0
0
0.088656
0.240955
1,382
42
114
32.904762
0.775024
0.59479
0
0
1
0
0
0
0
0
0
0
0
1
0.066667
false
0
0.2
0
0.333333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
3255418e552bf21eec558aa0897845fa6583a29c
4,984
py
Python
u3s2m1ass1-pt6/code/rpg_queries.py
LambdaTheda/lambdata-Unit3
b44b20f2f3e28d2b17613660ddb562afe4825686
[ "MIT" ]
null
null
null
u3s2m1ass1-pt6/code/rpg_queries.py
LambdaTheda/lambdata-Unit3
b44b20f2f3e28d2b17613660ddb562afe4825686
[ "MIT" ]
null
null
null
u3s2m1ass1-pt6/code/rpg_queries.py
LambdaTheda/lambdata-Unit3
b44b20f2f3e28d2b17613660ddb562afe4825686
[ "MIT" ]
1
2020-05-11T04:33:24.000Z
2020-05-11T04:33:24.000Z
import sqlite3 import os #DB_FILEPATH = "data/chinook.db" DB_FILEPATH = os.path.join(os.path.dirname(__file__), "..", "data", "rpg_db.sqlite3") conn = sqlite3.connect(DB_FILEPATH) conn.row_factory = sqlite3.Row print(type(conn)) #> <class 'sqlite3.Connection'> curs = conn.cursor() print(type(curs)) #> <class 'sqlite3....
30.576687
85
0.731742
672
4,984
5.197917
0.165179
0.068709
0.026052
0.036645
0.354996
0.208131
0.149442
0.149442
0.149442
0.149442
0
0.018266
0.132223
4,984
163
86
30.576687
0.789364
0.254013
0
0.135922
0
0
0.685396
0.099349
0
0
0
0
0
1
0
false
0
0.019417
0
0.019417
0.213592
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
3256173ee4e9a424745cf36c9f1ac6cf9bf2bc08
7,872
py
Python
tools/table.py
asterick/minimon.js
4876544525eb1bfef1b81a12807e7ba37cdd4949
[ "0BSD" ]
5
2019-04-25T00:19:56.000Z
2020-09-02T01:24:40.000Z
tools/table.py
asterick/minimon.js
4876544525eb1bfef1b81a12807e7ba37cdd4949
[ "0BSD" ]
6
2020-05-23T23:17:59.000Z
2022-02-17T21:50:46.000Z
tools/table.py
asterick/minimon.js
4876544525eb1bfef1b81a12807e7ba37cdd4949
[ "0BSD" ]
null
null
null
#!/usr/bin/env python3 # ISC License # # Copyright (c) 2019, Bryon Vandiver # # Permission to use, copy, modify, and/or distribute this software for any # purpose with or without fee is hereby granted, provided that the above # copyright notice and this permission notice appear in all copies. # # THE SOFT...
32.528926
123
0.506225
1,067
7,872
3.689784
0.268978
0.042672
0.06604
0.016764
0.178054
0.137668
0.084836
0.062484
0.035052
0.035052
0
0.03328
0.282393
7,872
241
124
32.6639
0.663657
0.102769
0
0.086957
0
0.01087
0.264001
0.007644
0
0
0.003381
0
0
1
0.021739
false
0
0.016304
0.005435
0.065217
0.163043
0
0
0
null
0
0
0
0
0
0
0
0
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
325927f14aed5b03fe28e7161da22ac9db1b0f2b
15,364
py
Python
test_log.py
erkooi/desp_tools
2bea2e44591ceeeb62cbfe163b4635a3157f6582
[ "Apache-2.0" ]
null
null
null
test_log.py
erkooi/desp_tools
2bea2e44591ceeeb62cbfe163b4635a3157f6582
[ "Apache-2.0" ]
null
null
null
test_log.py
erkooi/desp_tools
2bea2e44591ceeeb62cbfe163b4635a3157f6582
[ "Apache-2.0" ]
null
null
null
############################################################################### # # Copyright (C) 2012 # ASTRON (Netherlands Institute for Radio Astronomy) <http://www.astron.nl/> # P.O.Box 2, 7990 AA Dwingeloo, The Netherlands # # This program is free software: you can redistribute it and/or modify # it under the term...
48.466877
164
0.570034
1,894
15,364
4.536431
0.187434
0.036662
0.028748
0.039804
0.42237
0.385242
0.342877
0.329842
0.304353
0.261639
0
0.010481
0.329341
15,364
316
165
48.620253
0.82337
0.402044
0
0.309942
0
0.005848
0.041408
0
0
0
0
0
0
1
0.070175
false
0
0.017544
0.005848
0.157895
0.011696
0
0
0
null
0
0
0
0
0
0
0
0
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
325b56ca169aa22d3b3e5e502acb535b1e7a8a46
868
py
Python
subaudible/subparse.py
RobbieClarken/subaudible
f22bdec90693727b36eff426e96d6960387fb94d
[ "MIT" ]
null
null
null
subaudible/subparse.py
RobbieClarken/subaudible
f22bdec90693727b36eff426e96d6960387fb94d
[ "MIT" ]
null
null
null
subaudible/subparse.py
RobbieClarken/subaudible
f22bdec90693727b36eff426e96d6960387fb94d
[ "MIT" ]
null
null
null
import re def parse_srt(line_iter): """ Parses SubRip text into caption dicts. Args: line_iter: An iterator that yields lines of a SubRip file. Yields: dict: Caption dicts with `start`, `end` and `text` keys. """ line_iter = iter(line.rstrip('\r\n') for line in line_iter) ...
27.125
67
0.59447
136
868
3.617647
0.426471
0.03252
0.042683
0.04878
0.018293
0.018293
0.018293
0.018293
0
0
0
0.01214
0.240783
868
31
68
28
0.734446
0.221198
0
0
0
0
0.080871
0.045101
0
0
0
0
0
1
0.2
false
0
0.066667
0.066667
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
325b89ab7374be326978f10a334f001191bd3ead
1,971
py
Python
application/models/basemodel.py
ahmedsadman/festive
e0e739f126de2e8368014398f5c928c410098da5
[ "MIT" ]
2
2020-10-19T23:26:23.000Z
2020-10-20T02:14:10.000Z
application/models/basemodel.py
ahmedsadman/fest-management-api
e0e739f126de2e8368014398f5c928c410098da5
[ "MIT" ]
null
null
null
application/models/basemodel.py
ahmedsadman/fest-management-api
e0e739f126de2e8368014398f5c928c410098da5
[ "MIT" ]
1
2021-08-04T15:45:29.000Z
2021-08-04T15:45:29.000Z
from sqlalchemy import func from application import db from application.helpers.error_handlers import ServerError class BaseModel(db.Model): __abstract__ = True def save(self): """save the item to database""" try: db.session.add(self) db.session.commit() except...
33.982759
78
0.597666
247
1,971
4.672065
0.437247
0.031196
0.046794
0.034662
0.169844
0.169844
0.169844
0.169844
0.169844
0.103986
0
0
0.316591
1,971
57
79
34.578947
0.856719
0.281583
0
0.243243
0
0
0.027656
0
0
0
0
0
0
1
0.135135
false
0
0.081081
0.027027
0.351351
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
325ca5543e9808ec6039d4cf69192bb2bde47b8f
522
py
Python
tests/core/resource_test_base.py
alteia-ai/alteia-python-sdk
27ec7458334334ed6a1edae52cb25d5ce8734177
[ "MIT" ]
11
2020-12-22T14:39:21.000Z
2022-02-18T16:34:34.000Z
tests/core/resource_test_base.py
alteia-ai/alteia-python-sdk
27ec7458334334ed6a1edae52cb25d5ce8734177
[ "MIT" ]
1
2021-08-05T14:21:12.000Z
2021-08-09T13:22:55.000Z
tests/core/resource_test_base.py
alteia-ai/alteia-python-sdk
27ec7458334334ed6a1edae52cb25d5ce8734177
[ "MIT" ]
null
null
null
import os from unittest.mock import patch import alteia from tests.alteiatest import AlteiaTestBase class ResourcesTestBase(AlteiaTestBase): @classmethod def setUpClass(cls): with patch('alteia.core.connection.token.TokenManager.renew_token') as mock: mock.return_value = None ...
27.473684
89
0.726054
66
522
5.545455
0.560606
0.060109
0.081967
0
0
0
0
0
0
0
0
0
0.180077
522
18
90
29
0.85514
0
0
0
0
0
0.136015
0.101533
0
0
0
0
0
1
0.153846
false
0
0.307692
0.076923
0.615385
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
1
0
0
2
325dd1dcfd3afeca98237f91ac72ec8dacd09a26
137
py
Python
scripts/viterbi.py
Tereshchenkolab/digitize-ecg-cli
fa5a17c5390a11ce07e39e6a8eecb56ed38b16a1
[ "MIT" ]
6
2021-06-12T08:20:33.000Z
2022-03-01T15:32:35.000Z
scripts/viterbi.py
Tereshchenkolab/ecg-digitize
fa5a17c5390a11ce07e39e6a8eecb56ed38b16a1
[ "MIT" ]
null
null
null
scripts/viterbi.py
Tereshchenkolab/ecg-digitize
fa5a17c5390a11ce07e39e6a8eecb56ed38b16a1
[ "MIT" ]
null
null
null
from ecgdigitize.signal.extraction.viterbi import * if __name__ == "__main__": print(list(interpolate(Point(0,0), Point(5,5))))
27.4
56
0.70073
18
137
4.888889
0.833333
0
0
0
0
0
0
0
0
0
0
0.033898
0.138686
137
5
56
27.4
0.711864
0
0
0
0
0
0.057971
0
0
0
0
0
0
1
0
true
0
0.333333
0
0.333333
0.333333
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
4
325fc49ee449fcf77d594c853f23436486f7b300
2,711
py
Python
tests/io/s3/test_s3_fetcher.py
ToucanToco/PeaKina
afaeec65d9b136d42331f140c3048d27bcddb6b1
[ "BSD-3-Clause" ]
null
null
null
tests/io/s3/test_s3_fetcher.py
ToucanToco/PeaKina
afaeec65d9b136d42331f140c3048d27bcddb6b1
[ "BSD-3-Clause" ]
null
null
null
tests/io/s3/test_s3_fetcher.py
ToucanToco/PeaKina
afaeec65d9b136d42331f140c3048d27bcddb6b1
[ "BSD-3-Clause" ]
null
null
null
from typing import Any, Dict import boto3 import pytest from s3fs import S3FileSystem from peakina.io.s3.s3_fetcher import S3Fetcher @pytest.fixture def s3_fetcher(s3_endpoint_url): return S3Fetcher(client_kwargs={"endpoint_url": s3_endpoint_url}) def test_s3_fetcher_open(s3_fetcher): dirpath = "s3://acce...
33.8875
94
0.693471
375
2,711
4.741333
0.266667
0.086052
0.025309
0.028121
0.431384
0.3009
0.245782
0.134421
0.102362
0.102362
0
0.040326
0.185909
2,711
79
95
34.316456
0.765292
0.020288
0
0.175439
0
0
0.220882
0.141726
0
0
0
0
0.140351
1
0.140351
false
0
0.087719
0.017544
0.280702
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
3262d7cd59e5780cbf71323fcb7c77c193d6904e
324
py
Python
testemunhoweb/consulta/migrations/0002_auto_20191202_0219.py
danielcamilo13/testemunhoWEB
46825e31123058fa6ee21e4e71e9e0bedde32bb4
[ "bzip2-1.0.6" ]
1
2019-12-03T01:37:13.000Z
2019-12-03T01:37:13.000Z
testemunhoweb/consulta/migrations/0002_auto_20191202_0219.py
danielcamilo13/testemunhoWEB
46825e31123058fa6ee21e4e71e9e0bedde32bb4
[ "bzip2-1.0.6" ]
11
2020-06-06T01:28:35.000Z
2022-03-12T00:16:34.000Z
testemunhoweb/consulta/migrations/0002_auto_20191202_0219.py
danielcamilo13/testemunhoWEB
46825e31123058fa6ee21e4e71e9e0bedde32bb4
[ "bzip2-1.0.6" ]
null
null
null
# Generated by Django 2.2.7 on 2019-12-02 05:19 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('consulta', '0001_initial'), ] operations = [ migrations.RenameModel( old_name='generate', new_name='consulta', ), ...
18
47
0.58642
34
324
5.5
0.794118
0
0
0
0
0
0
0
0
0
0
0.0837
0.299383
324
17
48
19.058824
0.740088
0.138889
0
0
1
0
0.129964
0
0
0
0
0
0
1
0
false
0
0.090909
0
0.363636
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
32638416d54a115fde42bba19086c99e40948e61
802
py
Python
backend/events/tests/test_views.py
trfoss/parrot
2f120ee1ab82368f85b2b5a7f1c45afc26aa8963
[ "BSD-2-Clause" ]
5
2019-02-25T02:24:51.000Z
2019-04-21T00:56:43.000Z
backend/events/tests/test_views.py
trfoss/parrot
2f120ee1ab82368f85b2b5a7f1c45afc26aa8963
[ "BSD-2-Clause" ]
51
2019-02-06T03:36:27.000Z
2021-06-10T21:11:24.000Z
backend/events/tests/test_views.py
trfoss/parrot
2f120ee1ab82368f85b2b5a7f1c45afc26aa8963
[ "BSD-2-Clause" ]
7
2019-02-06T04:37:10.000Z
2019-03-28T07:52:26.000Z
""" backend/events/tests/test_views.py Tests for the events page views. We use the test client. Read more at https://docs.djangoproject.com/en/2.1/topics/testing/tools/ """ import json from django.test import TestCase class EventsPageViewTests(TestCase): """Events page view tests for route /events/data ""...
26.733333
69
0.63591
102
802
4.960784
0.588235
0.079051
0.059289
0
0
0
0
0
0
0
0
0.014851
0.244389
802
29
70
27.655172
0.820132
0.377805
0
0
0
0
0.100877
0
0
0
0
0
0.214286
1
0.071429
false
0
0.142857
0
0.357143
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
32649f15ad311acc51f598d331270d3f4fb588d6
497
py
Python
instructors/lessons/practical_utils/examples/os-path-walk.py
mgadagin/PythonClass
70b370362d75720b3fb0e1d6cc8158f9445e9708
[ "MIT" ]
46
2017-09-27T20:19:36.000Z
2020-12-08T10:07:19.000Z
instructors/lessons/practical_utils/examples/os-path-walk.py
mgadagin/PythonClass
70b370362d75720b3fb0e1d6cc8158f9445e9708
[ "MIT" ]
6
2018-01-09T08:07:37.000Z
2020-09-07T12:25:13.000Z
instructors/lessons/practical_utils/examples/os-path-walk.py
mgadagin/PythonClass
70b370362d75720b3fb0e1d6cc8158f9445e9708
[ "MIT" ]
18
2017-10-10T02:06:51.000Z
2019-12-01T10:18:13.000Z
import os import os.path def visit(arg, dirname, names): print dirname, arg for name in names: subname = os.path.join(dirname, name) if os.path.isdir(subname): print ' %s/' % name else: print ' %s' % name print os.mkdir('example') os.mkdir('example/one') f...
22.590909
45
0.591549
73
497
4.027397
0.452055
0.081633
0.068027
0.07483
0.170068
0.170068
0.170068
0
0
0
0
0
0.229376
497
22
46
22.590909
0.767624
0
0
0.2
0
0
0.200803
0
0
0
0
0
0
0
null
null
0
0.1
null
null
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
1
0
0
0
0
0
0
0
0
1
326587ea3dd2af6a3849b34225b40c151ddc17b4
532
py
Python
tikplay/provider/tests/retriever_test.py
tietokilta-saato/tikplay
8061451c21f06bd07129a8a42543ea86b7518d4a
[ "MIT" ]
2
2015-01-15T14:14:50.000Z
2015-10-23T05:37:34.000Z
tikplay/provider/tests/retriever_test.py
tietokilta-saato/tikplay
8061451c21f06bd07129a8a42543ea86b7518d4a
[ "MIT" ]
8
2015-01-12T10:27:27.000Z
2015-05-11T12:05:03.000Z
tikplay/provider/tests/retriever_test.py
tietokilta-saato/tikplay
8061451c21f06bd07129a8a42543ea86b7518d4a
[ "MIT" ]
null
null
null
#!/usr/bin/env python # Part of tikplay # Yes, this is a bit of a non-test. from nose.tools import * from tikplay.provider.retriever import Retriever class TestRetriever(object): def __init__(self): self.retriever = Retriever({}) @raises(NotImplementedError) def test_handles(self): self.r...
25.333333
73
0.682331
66
532
5.378788
0.515152
0.146479
0.143662
0.180282
0
0
0
0
0
0
0
0
0.201128
532
21
73
25.333333
0.835294
0.131579
0
0.153846
0
0
0.071739
0
0
0
0
0
0.076923
1
0.307692
false
0
0.153846
0
0.538462
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
3
3265c12d40cc56aa2b76c483dff904dc52c43391
11,333
py
Python
myfunds/web/views/crypto/views.py
anzodev/myfunds
9f6cda99f443cec064d15d7ff7780f297cbdfe10
[ "MIT" ]
null
null
null
myfunds/web/views/crypto/views.py
anzodev/myfunds
9f6cda99f443cec064d15d7ff7780f297cbdfe10
[ "MIT" ]
null
null
null
myfunds/web/views/crypto/views.py
anzodev/myfunds
9f6cda99f443cec064d15d7ff7780f297cbdfe10
[ "MIT" ]
null
null
null
import csv import io from datetime import datetime import peewee as pw from flask import Blueprint from flask import g from flask import make_response from flask import redirect from flask import render_template from flask import request from flask import url_for from wtforms import Form from wtforms import IntegerFie...
29.667539
88
0.682344
1,292
11,333
5.81192
0.157121
0.030763
0.03356
0.046611
0.557464
0.513118
0.471434
0.459449
0.395659
0.395659
0
0.001349
0.215212
11,333
381
89
29.745407
0.842928
0
0
0.432432
0
0
0.096532
0.019677
0
0
0
0
0
1
0.030405
false
0
0.101351
0
0.192568
0.006757
0
0
0
null
0
0
0
0
0
0
0
0
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
32664ad5a10d717905dcb559f04579027da2c523
268
py
Python
Python/InvertTree.py
lywc20/daily-programming
78529e535aea5bda409e5a2a009274dca7011e29
[ "MIT" ]
null
null
null
Python/InvertTree.py
lywc20/daily-programming
78529e535aea5bda409e5a2a009274dca7011e29
[ "MIT" ]
null
null
null
Python/InvertTree.py
lywc20/daily-programming
78529e535aea5bda409e5a2a009274dca7011e29
[ "MIT" ]
null
null
null
class TreeNode: def __init__(self,val): self.left = None self.right = None self.val = None def invertTree(self,root): if root: root.left, root.right = self.invertTree(root.right), self.invertTree(root.left) return root
24.363636
87
0.619403
35
268
4.628571
0.371429
0.08642
0.160494
0.283951
0.308642
0
0
0
0
0
0
0
0.272388
268
10
88
26.8
0.830769
0
0
0
0
0
0
0
0
0
0
0
0
1
0.222222
false
0
0
0
0.444444
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
0
0
0
2
32665f5e99814a1ca419ee599a7bb327ba8ffbf0
9,115
py
Python
src/modeci_mdf/interfaces/pytorch/mod_torch_builtins.py
29riyasaxena/MDF
476e6950d0f14f29463eb4f6e3be518dfb2160a5
[ "Apache-2.0" ]
12
2021-01-18T20:38:21.000Z
2022-03-29T15:01:10.000Z
src/modeci_mdf/interfaces/pytorch/mod_torch_builtins.py
29riyasaxena/MDF
476e6950d0f14f29463eb4f6e3be518dfb2160a5
[ "Apache-2.0" ]
101
2020-12-14T15:23:07.000Z
2022-03-31T17:06:19.000Z
src/modeci_mdf/interfaces/pytorch/mod_torch_builtins.py
29riyasaxena/MDF
476e6950d0f14f29463eb4f6e3be518dfb2160a5
[ "Apache-2.0" ]
15
2020-12-04T22:37:14.000Z
2022-03-31T09:48:03.000Z
""" Wrap commonly-used torch builtins in nn.Module subclass for easier automatic construction of script """ import torch import torch.nn as nn import torch.nn.functional as F class argmax(torch.nn.Module): def __init__(self): super().__init__() def forward(self, A): return torch.argmax(A) c...
23.798956
88
0.501042
1,139
9,115
3.763828
0.115891
0.055983
0.072778
0.089573
0.595055
0.524843
0.503149
0.470725
0.461628
0.446699
0
0.037545
0.360066
9,115
382
89
23.861257
0.697411
0.032913
0
0.458182
0
0
0.017837
0
0
0
0
0.002618
0
1
0.174545
false
0
0.010909
0.072727
0.367273
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
326698864c4df87b158debf66bd86b994c325aa0
8,068
py
Python
taf/testlib/snmphelpers.py
stepanandr/taf
75cb85861f8e9703bab7dc6195f3926b8394e3d0
[ "Apache-2.0" ]
10
2016-12-16T00:05:58.000Z
2018-10-30T17:48:25.000Z
taf/testlib/snmphelpers.py
stepanandr/taf
75cb85861f8e9703bab7dc6195f3926b8394e3d0
[ "Apache-2.0" ]
40
2017-01-04T23:07:05.000Z
2018-04-16T19:52:02.000Z
taf/testlib/snmphelpers.py
stepanandr/taf
75cb85861f8e9703bab7dc6195f3926b8394e3d0
[ "Apache-2.0" ]
23
2016-12-30T05:03:53.000Z
2020-04-01T08:40:24.000Z
# Copyright (c) 2011 - 2017, 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 agre...
29.992565
104
0.649603
1,145
8,068
4.375546
0.20786
0.026347
0.01996
0.015569
0.244711
0.199601
0.162475
0.125349
0.079441
0.061876
0
0.004763
0.24529
8,068
268
105
30.104478
0.818033
0.318295
0
0.10084
0
0
0.081055
0
0
0
0
0
0
1
0.058824
false
0.042017
0.084034
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
3266f7d31cc045815dafabe76a68d2f3cebde4da
6,843
py
Python
cadence/apps/backend/views.py
BitLooter/Cadence
3adbe51f042120f7154711a58a614ce0e8b3664b
[ "BSD-2-Clause" ]
null
null
null
cadence/apps/backend/views.py
BitLooter/Cadence
3adbe51f042120f7154711a58a614ce0e8b3664b
[ "BSD-2-Clause" ]
null
null
null
cadence/apps/backend/views.py
BitLooter/Cadence
3adbe51f042120f7154711a58a614ce0e8b3664b
[ "BSD-2-Clause" ]
null
null
null
import json import logging from django.http import HttpResponse, HttpResponseBadRequest, HttpResponseNotFound from django.core.exceptions import ObjectDoesNotExist from django.views.decorators.csrf import csrf_exempt # See note below on saveplaylist import models # Set up logging logger = logging.getLogger("apps")...
34.736041
153
0.672366
900
6,843
5.013333
0.282222
0.015957
0.025931
0.037234
0.217642
0.187278
0.106826
0.054078
0.054078
0.032358
0
0.007874
0.220517
6,843
196
154
34.913265
0.83802
0.064153
0
0.306818
0
0
0.152094
0.006368
0
0
0
0.010204
0
0
null
null
0.011364
0.068182
null
null
0.011364
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
1
0
1
0
0
0
0
0
0
0
0
2
32675e661c420861aca3a72ce984ac5043cdeab4
2,868
py
Python
elexon_api/utils.py
GiorgioBalestrieri/elexon_api_tool
5b271e9d4a52dec5585a232833a699b8392ee6b0
[ "MIT" ]
4
2019-06-07T11:14:46.000Z
2021-04-01T14:15:14.000Z
elexon_api/utils.py
GiorgioBalestrieri/elexon_api_tool
5b271e9d4a52dec5585a232833a699b8392ee6b0
[ "MIT" ]
null
null
null
elexon_api/utils.py
GiorgioBalestrieri/elexon_api_tool
5b271e9d4a52dec5585a232833a699b8392ee6b0
[ "MIT" ]
6
2019-02-28T20:24:26.000Z
2021-03-30T18:08:23.000Z
import os from pathlib import Path import pandas as pd from collections import defaultdict from typing import Dict, List from .config import REQUIRED_D, API_KEY_FILENAME import logging logger = logging.getLogger(__name__) logger.addHandler(logging.NullHandler()) def get_required_parameters(service_code: str) -> Lis...
25.380531
81
0.540098
328
2,868
4.509146
0.335366
0.027045
0.02975
0.032454
0.183908
0.151454
0.093306
0.093306
0.051386
0.051386
0
0.006871
0.340307
2,868
113
82
25.380531
0.774841
0.360181
0
0.1
0
0
0.074442
0
0
0
0
0
0
1
0.15
false
0.025
0.175
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
326881582afe0e7d4f36578fa52df6c3b487641d
1,608
py
Python
relative_connectivity_of_subgraphs.py
doberse/RRI
e2fdc085d8040efc230a25eec670dd6839cbf1f7
[ "MIT" ]
null
null
null
relative_connectivity_of_subgraphs.py
doberse/RRI
e2fdc085d8040efc230a25eec670dd6839cbf1f7
[ "MIT" ]
null
null
null
relative_connectivity_of_subgraphs.py
doberse/RRI
e2fdc085d8040efc230a25eec670dd6839cbf1f7
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- import networkx as nx import pandas as pd #Other nodes connected by one node r=open('input_data/BC-related_RRI_network.txt') ll=r.readlines() r.close() rna_pairs=[] node_to_nodes={} for l in ll: ws=l.strip().split('\t') qx=sorted(ws[0:2]) rna_pairs.append((qx[0],qx[1]...
26.360656
99
0.625622
276
1,608
3.485507
0.32971
0.043659
0.080042
0.046778
0.060291
0
0
0
0
0
0
0.014937
0.208955
1,608
60
100
26.8
0.741352
0.121891
0
0.08
0
0
0.107887
0.068452
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
326bc9a28ede548053a0104238484ec204f3ccb0
1,518
py
Python
macdaily/cmd/install.py
JarryShaw/MacDaily
853b841dd1f1f7e6aae7bf2c305ff008bc76055c
[ "BSD-3-Clause" ]
10
2018-09-20T19:57:56.000Z
2021-11-14T18:28:10.000Z
macdaily/cmd/install.py
JarryShaw/jsdaily
3ca7aa7c75a12dc08ab44f78af2b089e1ed41d3d
[ "BSD-3-Clause" ]
2
2020-05-31T08:49:47.000Z
2021-12-28T16:57:42.000Z
macdaily/cmd/install.py
JarryShaw/jsdaily
3ca7aa7c75a12dc08ab44f78af2b089e1ed41d3d
[ "BSD-3-Clause" ]
null
null
null
# -*- coding: utf-8 -*- import abc from macdaily.cls.command import Command from macdaily.util.tools.print import print_info class InstallCommand(Command): @property def cmd(self): return 'install' @property def act(self): return ('install', 'installed', 'installed') @property...
25.3
99
0.607378
174
1,518
5.091954
0.442529
0.062077
0.038375
0.036117
0.182844
0.182844
0.128668
0.128668
0.128668
0.128668
0
0.001847
0.286561
1,518
59
100
25.728814
0.816251
0.075099
0
0.309524
0
0
0.103794
0
0
0
0
0
0
1
0.190476
false
0.02381
0.071429
0.119048
0.428571
0.071429
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
1
0
0
0
1
326dd27e7ff223645c2d0bf5d397fdea5ed20af2
2,632
py
Python
src/piotr/cmdline/fs.py
orangecms/piotr
f892ce6eaaa08ea81eb01943a388b64fbf3ccc44
[ "MIT" ]
47
2021-07-02T08:39:02.000Z
2021-11-08T22:21:39.000Z
src/piotr/cmdline/fs.py
orangecms/piotr
f892ce6eaaa08ea81eb01943a388b64fbf3ccc44
[ "MIT" ]
2
2021-07-08T09:25:30.000Z
2021-07-12T10:06:51.000Z
src/piotr/cmdline/fs.py
orangecms/piotr
f892ce6eaaa08ea81eb01943a388b64fbf3ccc44
[ "MIT" ]
5
2021-07-08T08:29:17.000Z
2021-10-18T13:35:11.000Z
""" FS commandline module. Allows to: - list host filesystems - remove a specific host filesystem - add a specific host filesystem """ from os.path import basename from piotr.cmdline import CmdlineModule, module, command from piotr.user import UserDirectory as ud from piotr.util import confirm @module('fs', 'List, ...
32.9
112
0.549392
287
2,632
5.003484
0.341463
0.068245
0.027159
0.04805
0.14624
0.110028
0.110028
0.064067
0.064067
0
0
0.00681
0.330547
2,632
79
113
33.316456
0.808173
0.1269
0
0.183673
0
0.020408
0.307414
0
0
0
0
0
0
1
0.081633
false
0
0.142857
0
0.244898
0.142857
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
32717c3bd131867ffad78e96d71e4ee21ce9b1c6
61
py
Python
mct_logging/src/mct_logging/__init__.py
iorodeo/mct
fa8b85f36533c9b1486ca4f6b0c40c3daa6f4e11
[ "Apache-2.0" ]
null
null
null
mct_logging/src/mct_logging/__init__.py
iorodeo/mct
fa8b85f36533c9b1486ca4f6b0c40c3daa6f4e11
[ "Apache-2.0" ]
null
null
null
mct_logging/src/mct_logging/__init__.py
iorodeo/mct
fa8b85f36533c9b1486ca4f6b0c40c3daa6f4e11
[ "Apache-2.0" ]
null
null
null
import tracking_pts_logger_master import tracking_pts_logger
20.333333
33
0.934426
9
61
5.777778
0.555556
0.538462
0.653846
0.884615
0
0
0
0
0
0
0
0
0.065574
61
2
34
30.5
0.912281
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
7
32723b5595559318393e20a40362e1d61e41c415
3,133
py
Python
singlecellmultiomics/modularDemultiplexer/demultiplexModules/scartrace.py
zztin/SingleCellMultiOmics
d3035c33eb1375f0703cc49537417b755ad8a693
[ "MIT" ]
17
2019-05-21T09:12:16.000Z
2022-02-14T19:26:58.000Z
singlecellmultiomics/modularDemultiplexer/demultiplexModules/scartrace.py
zztin/SingleCellMultiOmics
d3035c33eb1375f0703cc49537417b755ad8a693
[ "MIT" ]
70
2019-05-20T08:08:45.000Z
2021-06-22T15:58:01.000Z
singlecellmultiomics/modularDemultiplexer/demultiplexModules/scartrace.py
zztin/SingleCellMultiOmics
d3035c33eb1375f0703cc49537417b755ad8a693
[ "MIT" ]
7
2020-04-09T15:11:12.000Z
2022-02-14T15:23:31.000Z
from singlecellmultiomics.modularDemultiplexer.baseDemultiplexMethods import UmiBarcodeDemuxMethod, NonMultiplexable # ScarTrace class ScartraceR1(UmiBarcodeDemuxMethod): def __init__(self, barcodeFileParser, **kwargs): self.barcodeFileAlias = 'scartrace' UmiBarcodeDemuxMethod.__init__( ...
34.054348
125
0.605171
252
3,133
7.404762
0.277778
0.025723
0.072347
0.060021
0.815113
0.801179
0.801179
0.801179
0.801179
0.801179
0
0.024367
0.318864
3,133
91
126
34.428571
0.850047
0.002873
0
0.763889
0
0
0.140548
0
0
0
0
0
0
1
0.069444
false
0
0.013889
0
0.152778
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
3272a27a8fc6fa3c964e19b20bd692f8755a0dee
6,151
py
Python
tests/models.py
intellineers/django-bridger
ed097984a99df7da40a4d01bd00c56e3c6083056
[ "BSD-3-Clause" ]
2
2020-03-17T00:53:23.000Z
2020-07-16T07:00:33.000Z
tests/models.py
intellineers/django-bridger
ed097984a99df7da40a4d01bd00c56e3c6083056
[ "BSD-3-Clause" ]
76
2019-12-05T01:15:57.000Z
2021-09-07T16:47:27.000Z
tests/models.py
intellineers/django-bridger
ed097984a99df7da40a4d01bd00c56e3c6083056
[ "BSD-3-Clause" ]
1
2020-02-05T15:09:47.000Z
2020-02-05T15:09:47.000Z
from datetime import date, time from django.contrib.postgres.fields import ArrayField from django.db import models from django.utils import timezone from django_fsm import FSMField, transition from rest_framework.reverse import reverse from simple_history.models import HistoricalRecords from bridger.buttons import Ac...
31.22335
123
0.677451
691
6,151
5.833575
0.253256
0.04639
0.037956
0.046142
0.484495
0.434135
0.358224
0.293724
0.293724
0.242124
0
0.011139
0.211835
6,151
196
124
31.382653
0.820338
0.023736
0
0.340136
0
0
0.129426
0.025217
0
0
0
0
0
1
0.129252
false
0.013605
0.081633
0.115646
0.557823
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
1
1
0
0
2
327639bba2a2aa36c47d30fbf67b64ee714db74b
2,975
py
Python
RNAstructure_Source/RNAstructure_python_interface/Error_handling.py
mayc2/PseudoKnot_research
33e94b84435d87aff3d89dbad970c438ac173331
[ "MIT" ]
null
null
null
RNAstructure_Source/RNAstructure_python_interface/Error_handling.py
mayc2/PseudoKnot_research
33e94b84435d87aff3d89dbad970c438ac173331
[ "MIT" ]
null
null
null
RNAstructure_Source/RNAstructure_python_interface/Error_handling.py
mayc2/PseudoKnot_research
33e94b84435d87aff3d89dbad970c438ac173331
[ "MIT" ]
null
null
null
#automated error checking for RNAstructure python interface from __future__ import print_function import inspect from functools import wraps from collections import defaultdict debug = False class StructureError(Exception): pass class RNAstructureInternalError(Exception):pass lookup_exceptions = defaultdict(lambda:Runt...
35.416667
110
0.621176
299
2,975
5.913043
0.347826
0.039593
0.054299
0.033937
0.263575
0.263575
0.263575
0.218326
0.218326
0.218326
0
0.022482
0.282353
2,975
83
111
35.843373
0.805621
0.019496
0
0.233766
0
0
0.095336
0.007202
0
0
0
0
0
1
0.103896
false
0.038961
0.051948
0
0.285714
0.064935
0
0
0
null
0
0
0
0
0
0
0
0
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
3276b79a61cf27161c545de376944d5851538c10
52,691
py
Python
Src/si_figs.py
jomimc/FoldAsymCode
1896e5768e738bb5d1921a3f4c8eaf7f66c06be9
[ "MIT" ]
1
2020-10-07T14:24:06.000Z
2020-10-07T14:24:06.000Z
Src/si_figs.py
jomimc/FoldAsymCode
1896e5768e738bb5d1921a3f4c8eaf7f66c06be9
[ "MIT" ]
null
null
null
Src/si_figs.py
jomimc/FoldAsymCode
1896e5768e738bb5d1921a3f4c8eaf7f66c06be9
[ "MIT" ]
null
null
null
from collections import defaultdict, Counter from itertools import product, permutations from glob import glob import json import os from pathlib import Path import pickle import sqlite3 import string import sys import time import matplotlib as mpl from matplotlib import colors from matplotlib import pyplot as plt fro...
42.085463
162
0.557723
8,901
52,691
3.21065
0.073475
0.008713
0.007768
0.012492
0.698194
0.622227
0.570929
0.537756
0.493317
0.460004
0
0.055077
0.209523
52,691
1,251
163
42.119105
0.631053
0.042721
0
0.397089
0
0.006237
0.103354
0.014935
0
0
0
0
0
1
0.030146
false
0
0.034304
0.00104
0.066528
0.02183
0
0
0
null
0
0
0
0
0
0
0
0
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
327808782f63cb50deaafbd843fb0446afafa40c
81
py
Python
release_ce.py
BTW-Community/BTW-MCP
4422e153525265029754dec222fc0c0064e03962
[ "MIT" ]
2
2021-12-12T17:14:53.000Z
2021-12-25T04:03:18.000Z
release_ce.py
BTW-Community/BTW-MCP
4422e153525265029754dec222fc0c0064e03962
[ "MIT" ]
null
null
null
release_ce.py
BTW-Community/BTW-MCP
4422e153525265029754dec222fc0c0064e03962
[ "MIT" ]
null
null
null
from btw_mcp import * package_release("vanilla", "main", directory="ce_release")
27
58
0.765432
11
81
5.363636
0.909091
0
0
0
0
0
0
0
0
0
0
0
0.08642
81
3
58
27
0.797297
0
0
0
0
0
0.256098
0
0
0
0
0
0
1
0
true
0
0.5
0
0.5
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
4
327857254668f20b13612c825f93043e95b1c5c9
3,449
py
Python
test_beam_search.py
slegroux/slgBeam
733049ad4a97f582bc169623941cfbdf3efea207
[ "Apache-2.0" ]
null
null
null
test_beam_search.py
slegroux/slgBeam
733049ad4a97f582bc169623941cfbdf3efea207
[ "Apache-2.0" ]
null
null
null
test_beam_search.py
slegroux/slgBeam
733049ad4a97f582bc169623941cfbdf3efea207
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python # (c) 2020 Sylvain Le Groux <slegroux@ccrma.stanford.edu> import pytest from pytest import approx import numpy as np import torch from IPython import embed from beam_search import Tokenizer, Score, BeamSearch @pytest.fixture(scope='module') def data(): mat = torch.Tensor(np.genfromtxt('data/...
33.813725
98
0.632647
573
3,449
3.544503
0.162304
0.039389
0.044313
0.054161
0.464796
0.402757
0.373215
0.351059
0.339242
0.339242
0
0.034446
0.19194
3,449
101
99
34.148515
0.694295
0.057988
0
0.37037
0
0
0.056121
0
0
0
0
0
0.197531
1
0.123457
false
0
0.074074
0
0.197531
0.135802
0
0
0
null
0
0
0
0
0
0
0
0
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
327872875221fcfb18f1db81613c4a83884de390
3,404
py
Python
src/main/python/hydra/kafkatest/maxrate_test.py
bopopescu/hydra
ec0793f8c1f49ceb93bf1f1a9789085b68d55f08
[ "Apache-2.0" ]
10
2016-05-28T15:56:43.000Z
2018-01-03T21:30:58.000Z
src/main/python/hydra/kafkatest/maxrate_test.py
bopopescu/hydra
ec0793f8c1f49ceb93bf1f1a9789085b68d55f08
[ "Apache-2.0" ]
17
2016-06-06T22:15:28.000Z
2020-07-22T20:28:12.000Z
src/main/python/hydra/kafkatest/maxrate_test.py
bopopescu/hydra
ec0793f8c1f49ceb93bf1f1a9789085b68d55f08
[ "Apache-2.0" ]
5
2016-06-01T22:01:44.000Z
2020-07-22T20:12:49.000Z
__author__ = 'annyz' from pprint import pprint, pformat # NOQA import logging import os import sys from datetime import datetime from hydra.lib import util from hydra.kafkatest.runtest import RunTestKAFKA from hydra.lib.boundary import Scanner from optparse import OptionParser l = util.createlogger('runSuitMaxRate',...
38.247191
94
0.595476
414
3,404
4.73913
0.413043
0.057085
0.033129
0.035168
0.044852
0.044852
0.044852
0.044852
0.044852
0.044852
0
0.033638
0.292597
3,404
88
95
38.681818
0.781146
0.050235
0
0.042857
0
0
0.177985
0.013953
0
0
0
0
0
1
0.028571
false
0
0.128571
0
0.185714
0.014286
0
0
0
null
0
0
0
0
0
0
0
0
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
327a37a67a58b314caa95c02379bd85e44d7216f
722
py
Python
src/api/v1/villains/serializers.py
reiniervdwindt/power-ranger-api
13ce639a7f5e9d4b106ce5f094c076db0aad398e
[ "MIT" ]
null
null
null
src/api/v1/villains/serializers.py
reiniervdwindt/power-ranger-api
13ce639a7f5e9d4b106ce5f094c076db0aad398e
[ "MIT" ]
null
null
null
src/api/v1/villains/serializers.py
reiniervdwindt/power-ranger-api
13ce639a7f5e9d4b106ce5f094c076db0aad398e
[ "MIT" ]
null
null
null
from rest_framework import serializers from series.models import Series from villains.models import Villain class VillainSeriesSerializer(serializers.ModelSerializer): name = serializers.CharField() class Meta(object): fields = ('id', 'name',) model = Series class VillainDetailSerializer(s...
26.740741
88
0.688366
67
722
7.402985
0.402985
0.157258
0.090726
0.127016
0.284274
0.284274
0.229839
0.229839
0.229839
0.229839
0
0
0.189751
722
26
89
27.769231
0.847863
0
0
0.294118
0
0
0.116343
0
0
0
0
0
0
1
0
false
0
0.176471
0
0.647059
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
1
327a4fc033970cf2fec138ab6d2ea6fa9e580d97
1,574
py
Python
map_report.py
porcpine1967/aoe2stats
52965e437b8471753186ba1fc34cb773807eb496
[ "MIT" ]
null
null
null
map_report.py
porcpine1967/aoe2stats
52965e437b8471753186ba1fc34cb773807eb496
[ "MIT" ]
null
null
null
map_report.py
porcpine1967/aoe2stats
52965e437b8471753186ba1fc34cb773807eb496
[ "MIT" ]
null
null
null
#!/usr/bin/env python """ Writes out map popularity of last two pools.""" from datetime import datetime, timedelta from utils.map_pools import map_type_filter, pools from utils.tools import execute_sql, last_time_breakpoint, map_name_lookup SQL = """SELECT map_type, COUNT(*) as cnt FROM matches WHERE started BETWEEN ...
32.122449
85
0.560991
209
1,574
4.043062
0.401914
0.049704
0.042604
0
0
0
0
0
0
0
0
0.028907
0.296696
1,574
48
86
32.791667
0.734417
0.051461
0
0
0
0
0.136486
0
0
0
0
0
0
1
0.025641
false
0
0.076923
0
0.102564
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
327c981e0a47fcedcb62aea60362f8adb3c7ccec
5,277
py
Python
common/xrd-ui-tests-qautomate/pagemodel/ss_keys_and_cert_dlg_subject_dname.py
ria-ee/XTM
6103f3f5bbba387b8b59b050c0c4f1fb2180fc37
[ "MIT" ]
3
2018-03-15T14:22:50.000Z
2021-11-08T10:30:35.000Z
common/xrd-ui-tests-qautomate/pagemodel/ss_keys_and_cert_dlg_subject_dname.py
ria-ee/XTM
6103f3f5bbba387b8b59b050c0c4f1fb2180fc37
[ "MIT" ]
11
2017-04-06T09:25:41.000Z
2018-06-04T09:08:48.000Z
common/xrd-ui-tests-qautomate/pagemodel/ss_keys_and_cert_dlg_subject_dname.py
ria-ee/XTM
6103f3f5bbba387b8b59b050c0c4f1fb2180fc37
[ "MIT" ]
20
2017-03-14T07:21:58.000Z
2019-05-21T09:26:30.000Z
# -*- coding: utf-8 -*- # Example for using WebDriver object: driver = get_driver() e.g driver.current_url from webframework import TESTDATA from variables import strings from selenium.webdriver.common.by import By from webframework.extension.util.common_utils import * from webframework.extension.util.webtimings import...
53.30303
250
0.675005
736
5,277
4.668478
0.298913
0.048894
0.023283
0.041909
0.5617
0.514261
0.486903
0.444703
0.444703
0.341967
0
0.044529
0.199924
5,277
98
251
53.846939
0.769304
0.556756
0
0.193548
0
0
0.132409
0.097992
0
0
0
0
0
1
0.096774
false
0
0.290323
0
0.677419
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
1
327cb6d4121abb0fa5a0265759fdf829da140dce
6,303
py
Python
tempdb/postgres.py
runfalk/tempdb
a19f7568db1795025c9ec8adfd84a9544f9a6966
[ "MIT" ]
2
2021-01-17T00:01:14.000Z
2021-01-18T09:26:56.000Z
tempdb/postgres.py
runfalk/tempdb
a19f7568db1795025c9ec8adfd84a9544f9a6966
[ "MIT" ]
null
null
null
tempdb/postgres.py
runfalk/tempdb
a19f7568db1795025c9ec8adfd84a9544f9a6966
[ "MIT" ]
null
null
null
import getpass import os import platform import psycopg2 import sys import tempfile from glob import glob from psycopg2.extensions import ISOLATION_LEVEL_AUTOCOMMIT, quote_ident from subprocess import check_output, PIPE, Popen from time import sleep from ._compat import ustr from .utils import is_executable, Uri, Ver...
30.597087
79
0.58369
750
6,303
4.778667
0.3
0.023438
0.011161
0.01423
0.122489
0.095703
0.055246
0.055246
0.055246
0
0
0.001645
0.324766
6,303
205
80
30.746341
0.840461
0.137712
0
0.075342
0
0
0.11287
0.004656
0
0
0
0
0
1
0.089041
false
0.013699
0.082192
0.006849
0.246575
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
327ee9780e46ebbfd9024596b22934ad7011175f
426
py
Python
nymph/modules/tool.py
smilelight/nymph
c8da2211f7a8f58d1c6d327b243e419ed9e64ead
[ "Apache-2.0" ]
1
2020-08-10T00:58:14.000Z
2020-08-10T00:58:14.000Z
nymph/modules/tool.py
smilelight/nymph
c8da2211f7a8f58d1c6d327b243e419ed9e64ead
[ "Apache-2.0" ]
null
null
null
nymph/modules/tool.py
smilelight/nymph
c8da2211f7a8f58d1c6d327b243e419ed9e64ead
[ "Apache-2.0" ]
1
2021-07-03T07:06:41.000Z
2021-07-03T07:06:41.000Z
# -*- coding: utf-8 -*- import pandas as pd def save_dict_to_csv(dict_data: dict, csv_path: str): indexes = list(dict_data.keys()) columns = list(list(dict_data.values())[0].keys()) data = [] for row in dict_data: data.append([item for item in dict_data[row].values()]) pd_data = pd.DataFra...
30.428571
64
0.666667
67
426
4.029851
0.462687
0.148148
0.088889
0
0
0
0
0
0
0
0
0.008646
0.185446
426
13
65
32.769231
0.769452
0.049296
0
0
0
0
0.009926
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
327fa5382ee48b811835bb16249bdcc124edd278
1,187
py
Python
apps/core/serializers.py
jfterpstra/onepercentclub-site
43e8e01ac4d3d1ffdd5959ebd048ce95bb2dba0e
[ "BSD-3-Clause" ]
7
2015-01-02T19:31:14.000Z
2021-03-22T17:30:23.000Z
apps/core/serializers.py
jfterpstra/onepercentclub-site
43e8e01ac4d3d1ffdd5959ebd048ce95bb2dba0e
[ "BSD-3-Clause" ]
1
2015-03-06T08:34:59.000Z
2015-03-06T08:34:59.000Z
apps/core/serializers.py
jfterpstra/onepercentclub-site
43e8e01ac4d3d1ffdd5959ebd048ce95bb2dba0e
[ "BSD-3-Clause" ]
null
null
null
from rest_framework import serializers from bluebottle.utils.model_dispatcher import get_donation_model from bluebottle.bb_projects.serializers import ProjectPreviewSerializer as BaseProjectPreviewSerializer from bluebottle.bb_accounts.serializers import UserPreviewSerializer DONATION_MODEL = get_donation_model() c...
42.392857
125
0.754844
109
1,187
8.036697
0.495413
0.059361
0.03653
0
0
0
0
0
0
0
0
0
0.138163
1,187
27
126
43.962963
0.856305
0
0
0
0
0
0.182814
0
0
0
0
0
0
1
0
false
0
0.210526
0
0.684211
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
1
328065cc7a0c80c52a732c0213b03b1281db7d57
1,035
py
Python
Python/rockpaperscissors/rockpaperscissors.py
rvrheenen/OpenKattis
7fd59fcb54e86cdf10f56c580c218c62e584f391
[ "MIT" ]
12
2016-10-03T20:43:43.000Z
2021-06-12T17:18:42.000Z
Python/rockpaperscissors/rockpaperscissors.py
rvrheenen/OpenKattis
7fd59fcb54e86cdf10f56c580c218c62e584f391
[ "MIT" ]
null
null
null
Python/rockpaperscissors/rockpaperscissors.py
rvrheenen/OpenKattis
7fd59fcb54e86cdf10f56c580c218c62e584f391
[ "MIT" ]
10
2017-11-14T19:56:37.000Z
2021-02-02T07:39:57.000Z
# WORKS BUT ISN'T FAST ENOUGH first_run = True while(True): inp = input().split() if len(inp) == 1: break if first_run: first_run = False else: print() nPlayers, nGames = [int(x) for x in inp] resultsW = [0] * nPlayers resultsL = [0] * nPlayers for i in range( int...
32.34375
147
0.510145
142
1,035
3.65493
0.338028
0.023121
0.028902
0.030829
0.013487
0.013487
0
0
0
0
0
0.044733
0.330435
1,035
32
148
32.34375
0.704185
0.026087
0
0.1
0
0
0.052632
0
0
0
0
0
0
1
0
false
0
0
0
0
0.166667
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3280c700cb467b6fd44a96a8f003a083cb2e0a5f
9,460
py
Python
monitorcontrol/monitor_control.py
klwlau/monitorcontrol
92d07c7a93585de14551ba1f1dd8bb3a009c4842
[ "MIT" ]
null
null
null
monitorcontrol/monitor_control.py
klwlau/monitorcontrol
92d07c7a93585de14551ba1f1dd8bb3a009c4842
[ "MIT" ]
null
null
null
monitorcontrol/monitor_control.py
klwlau/monitorcontrol
92d07c7a93585de14551ba1f1dd8bb3a009c4842
[ "MIT" ]
null
null
null
############################################################################### # Copyright 2019 Alex M. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including witho...
30.031746
79
0.595455
1,137
9,460
4.85752
0.226913
0.015209
0.034764
0.014123
0.380952
0.319392
0.266341
0.227413
0.151729
0.091979
0
0.005852
0.313531
9,460
314
80
30.127389
0.844626
0.502537
0
0.186813
0
0
0.111233
0
0
0
0.005479
0
0
1
0.186813
false
0
0.032967
0
0.340659
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
328135201e01cdb2208c77c5703c4b619db0d327
6,201
py
Python
algorithms/vae.py
ENSP-AI-Mentoring/machine-learning-algorithms
d53d5342f79d08066e158228cab6240872f61f72
[ "Apache-2.0" ]
1
2021-11-14T19:46:46.000Z
2021-11-14T19:46:46.000Z
algorithms/vae.py
ENSP-AI-Mentoring/machine-learning-algorithms
d53d5342f79d08066e158228cab6240872f61f72
[ "Apache-2.0" ]
null
null
null
algorithms/vae.py
ENSP-AI-Mentoring/machine-learning-algorithms
d53d5342f79d08066e158228cab6240872f61f72
[ "Apache-2.0" ]
null
null
null
import numpy as np import torch from torch.optim import Adam from torch.utils.data import DataLoader from tqdm import tqdm class VAE: def __init__( self, train_data, test_data, in_dim, encoder_width, decoder_width, latent_dim, device=None, ): ...
31.8
94
0.588776
777
6,201
4.442728
0.185328
0.028679
0.040556
0.021727
0.348204
0.275492
0.237833
0.182213
0.110371
0.110371
0
0.008555
0.302532
6,201
194
95
31.963918
0.789595
0.067247
0
0.161972
0
0
0.055401
0
0
0
0
0
0
1
0.070423
false
0
0.035211
0
0.176056
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
32837c01862960b0796752083e66eefb2afb0c24
1,244
py
Python
qfig.py
mth1haha/BlockchainQueueingNetwork
611dc84b857efbec22edfe5f3a1bb8f7052a39aa
[ "Apache-2.0" ]
1
2021-11-30T08:22:43.000Z
2021-11-30T08:22:43.000Z
qfig.py
mth1haha/BlockchainQueueingNetwork
611dc84b857efbec22edfe5f3a1bb8f7052a39aa
[ "Apache-2.0" ]
null
null
null
qfig.py
mth1haha/BlockchainQueueingNetwork
611dc84b857efbec22edfe5f3a1bb8f7052a39aa
[ "Apache-2.0" ]
1
2020-11-25T08:48:25.000Z
2020-11-25T08:48:25.000Z
import simpy as sp import numpy as np import seaborn as sns import matplotlib.pyplot as plt from scipy import stats, integrate def client(env, lamda, q, tic): meant = 1/lamda while True: t = np.random.exponential(meant) yield env.timeout(t) q.put('job') tic.append(env.now) def ...
20.393443
52
0.619775
203
1,244
3.788177
0.458128
0.041612
0.035111
0.078023
0.109233
0.062419
0.062419
0
0
0
0
0.053236
0.229904
1,244
60
53
20.733333
0.749478
0.07717
0
0.086957
0
0
0.031607
0
0
0
0
0
0
1
0.043478
false
0
0.108696
0
0.152174
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
328382e2d62ec49094cab44e02a8b760c1f9a700
4,756
py
Python
all_words.py
secureterminal/100-Days-of-Code
04383ae541938d8a551b5aac9a0dad3348a6ef23
[ "MIT" ]
1
2022-01-28T13:55:39.000Z
2022-01-28T13:55:39.000Z
Day 7/all_words.py
secureterminal/100-Days-of-Code
04383ae541938d8a551b5aac9a0dad3348a6ef23
[ "MIT" ]
1
2022-02-02T00:13:18.000Z
2022-02-03T11:32:53.000Z
Day 7/all_words.py
secureterminal/100-Days-of-Code
04383ae541938d8a551b5aac9a0dad3348a6ef23
[ "MIT" ]
2
2022-02-07T20:49:36.000Z
2022-02-19T21:22:15.000Z
word_list = ['pseudolamellibranchiate', 'microcolorimetrically', 'pancreaticoduodenostomy', 'theologicoastronomical', 'pancreatoduodenectomy', 'tetraiodophenolphthalein', 'choledocholithotripsy', 'hematospectrophotometer', 'deintellectualization', 'pharyngoepiglottidean', 'psychophysiologically', 'pathologic...
21.716895
47
0.676409
155
4,756
20.380645
0.967742
0.003166
0.003799
0.003799
0.001899
0
0
0
0
0
0
0
0.171152
4,756
219
48
21.716895
0.80137
0
0
0.170616
0
0.014218
0.826571
0.659029
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
3
32839d586b1955e1c6b167959e736b233c1def5e
363
py
Python
vandal/objects/__init__.py
vandal-dev/vandal
1981c86f4de6632776a4132ecbc206fac5188f32
[ "Apache-2.0" ]
1
2022-02-22T18:39:57.000Z
2022-02-22T18:39:57.000Z
vandal/objects/__init__.py
vandal-dev/vandal
1981c86f4de6632776a4132ecbc206fac5188f32
[ "Apache-2.0" ]
null
null
null
vandal/objects/__init__.py
vandal-dev/vandal
1981c86f4de6632776a4132ecbc206fac5188f32
[ "Apache-2.0" ]
null
null
null
# import all relevant contents from the associated module. from vandal.objects.montecarlo import ( MonteCarlo, MCapp, ) from vandal.objects.eoq import( EOQ, EOQapp, ) from vandal.objects.dijkstra import Dijkstra # all relevant contents. __all__ = [ 'MonteCarlo', 'EOQ', 'D...
16.5
59
0.628099
37
363
6.054054
0.405405
0.133929
0.227679
0
0
0
0
0
0
0
0
0
0.272727
363
21
60
17.285714
0.848485
0.217631
0
0
0
0
0.123077
0
0
0
0
0
0
1
0
false
0
0.1875
0
0.1875
0
0
0
0
null
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
3283d11b9d4cf8bd45f4150291dcecd926809bd7
124
py
Python
authentication/admin.py
jatingupta14/cruzz
9a00f1555cdd5c76c9ef250d7037d72d725de367
[ "MIT" ]
7
2018-11-09T14:40:54.000Z
2019-12-20T08:10:17.000Z
authentication/admin.py
jatingupta14/cruzz
9a00f1555cdd5c76c9ef250d7037d72d725de367
[ "MIT" ]
25
2018-11-30T17:38:36.000Z
2018-12-27T17:21:09.000Z
authentication/admin.py
jatingupta14/cruzz
9a00f1555cdd5c76c9ef250d7037d72d725de367
[ "MIT" ]
6
2018-12-03T14:44:29.000Z
2018-12-26T11:49:43.000Z
# Django from django.contrib import admin # local Django from authentication.models import User admin.site.register(User)
15.5
38
0.806452
17
124
5.882353
0.647059
0.2
0
0
0
0
0
0
0
0
0
0
0.129032
124
7
39
17.714286
0.925926
0.153226
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.666667
0
0.666667
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
5
328414bd2a696253fdce02e567455456707be002
480
py
Python
src/dlkp/datasets/__init__.py
midas-research/dlkp
5f47a780a6b05a71f799287d8ad612542a897047
[ "MIT" ]
2
2022-03-12T15:08:55.000Z
2022-03-14T09:11:43.000Z
src/dlkp/datasets/__init__.py
midas-research/dlkp
5f47a780a6b05a71f799287d8ad612542a897047
[ "MIT" ]
14
2022-02-19T07:42:09.000Z
2022-03-20T21:43:42.000Z
src/dlkp/datasets/__init__.py
midas-research/dlkp
5f47a780a6b05a71f799287d8ad612542a897047
[ "MIT" ]
null
null
null
class KPDatasets: def __init__(self) -> None: pass def get_train_dataset(self): if "train" not in self.datasets: return None return self.datasets["train"] def get_eval_dataset(self): if "validation" not in self.datasets: return None return se...
25.263158
45
0.597917
58
480
4.775862
0.310345
0.259928
0.140794
0.184116
0.487365
0.487365
0.487365
0.487365
0.487365
0
0
0
0.314583
480
18
46
26.666667
0.841945
0
0
0.2
0
0
0.079167
0
0
0
0
0
0
1
0.266667
false
0.066667
0
0
0.733333
0
0
0
0
null
1
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
1
0
0
1
0
0
5
3287cec655cdef3ec14897e557822dfcd28c5019
84
py
Python
nv/__init__.py
3stack-software/nv
7b00fb857aea238ed060a9eb017e351aac19258e
[ "Apache-2.0" ]
null
null
null
nv/__init__.py
3stack-software/nv
7b00fb857aea238ed060a9eb017e351aac19258e
[ "Apache-2.0" ]
1
2017-06-19T00:52:37.000Z
2017-06-19T00:52:37.000Z
nv/__init__.py
3stack-software/nv
7b00fb857aea238ed060a9eb017e351aac19258e
[ "Apache-2.0" ]
null
null
null
from .__version__ import __version__ from .core import create, remove, launch_shell
28
46
0.833333
11
84
5.545455
0.727273
0
0
0
0
0
0
0
0
0
0
0
0.119048
84
2
47
42
0.824324
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
5
32885105782d33bbebe4c4cc904fbc2149735713
784
py
Python
app/live/tests.py
B-ROY/TESTGIT
40221cf254c90d37d21afb981635740aebf11949
[ "Apache-2.0" ]
2
2017-12-02T13:58:30.000Z
2018-08-02T17:07:59.000Z
app/live/tests.py
B-ROY/TESTGIT
40221cf254c90d37d21afb981635740aebf11949
[ "Apache-2.0" ]
null
null
null
app/live/tests.py
B-ROY/TESTGIT
40221cf254c90d37d21afb981635740aebf11949
[ "Apache-2.0" ]
null
null
null
import os from django.conf import settings from django.contrib.auth.models import User from django.contrib.auth.tests.utils import skipIfCustomUser from django.contrib.flatpages.models import FlatPage from django.test import TestCase from django.test.utils import override_settings class HeyDoAppTest(unittest.TestCase)...
27.034483
60
0.632653
86
784
5.604651
0.569767
0.124481
0.105809
0.087137
0
0
0
0
0
0
0
0.02109
0.274235
784
28
61
28
0.826011
0.059949
0
0
0
0
0.035326
0
0
0
0
0
0
1
0.043478
false
0
0.304348
0
0.434783
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
1
328b211073d9f2b0d84385aebf512b9639d8569d
1,133
py
Python
application/utils/data_transfer_objects.py
charles-crawford/sentiment
38cfd6af1cc81ad1858621a182cd76dc3e5f04db
[ "MIT" ]
null
null
null
application/utils/data_transfer_objects.py
charles-crawford/sentiment
38cfd6af1cc81ad1858621a182cd76dc3e5f04db
[ "MIT" ]
null
null
null
application/utils/data_transfer_objects.py
charles-crawford/sentiment
38cfd6af1cc81ad1858621a182cd76dc3e5f04db
[ "MIT" ]
null
null
null
from flask_restx.fields import String, Boolean, Raw, List, Float, Nested class DataTransferObjects: def __init__(self, ns): self.ns = ns self.general_responses = {200: 'OK', 404: "Resource not found", 400: "Bad Request", ...
33.323529
112
0.529568
116
1,133
5.068966
0.448276
0.071429
0.093537
0.071429
0.105442
0.105442
0
0
0
0
0
0.017241
0.33451
1,133
33
113
34.333333
0.762599
0
0
0.2
0
0
0.218005
0
0
0
0
0
0
1
0.04
false
0
0.04
0
0.12
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
328faff3ddad6381d560dd2330552d383362af7f
91
py
Python
utils.py
Spratiher9/newsnuggets
1147e55a9a0c8a483384711840462b1526cf7681
[ "MIT" ]
1
2021-11-17T19:18:42.000Z
2021-11-17T19:18:42.000Z
utils.py
Spratiher9/newsnuggets
1147e55a9a0c8a483384711840462b1526cf7681
[ "MIT" ]
null
null
null
utils.py
Spratiher9/newsnuggets
1147e55a9a0c8a483384711840462b1526cf7681
[ "MIT" ]
null
null
null
from gnews import GNews def get_client(): news_client = GNews() return news_client
18.2
25
0.725275
13
91
4.846154
0.615385
0.31746
0
0
0
0
0
0
0
0
0
0
0.208791
91
5
26
18.2
0.875
0
0
0
0
0
0
0
0
0
0
0
0
1
0.25
false
0
0.25
0
0.75
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
5
329003760fc6877a5fb340f8c2de344d9c2c4d3e
13,284
py
Python
grover.py
raulillo82/TFG-Fisica-2021
8acfd748c7f49ea294606a9c185227927ec2e256
[ "MIT" ]
null
null
null
grover.py
raulillo82/TFG-Fisica-2021
8acfd748c7f49ea294606a9c185227927ec2e256
[ "MIT" ]
null
null
null
grover.py
raulillo82/TFG-Fisica-2021
8acfd748c7f49ea294606a9c185227927ec2e256
[ "MIT" ]
null
null
null
#!/usr/bin/python3 ''' * Copyright (C) 2021 Raúl Osuna Sánchez-Infante * * This software may be modified and distributed under the terms * of the MIT license. See the LICENSE.txt file for details. ''' ################## #Needed libraries# ################## import matplotlib as mpl mpl.use('TkAgg') import matpl...
29.851685
187
0.546522
2,078
13,284
3.464389
0.179981
0.029449
0.025698
0.033616
0.373246
0.317405
0.301014
0.247118
0.217947
0.211557
0
0.054229
0.300361
13,284
444
188
29.918919
0.720034
0.141448
0
0.577703
0
0.010135
0.089647
0
0
0
0
0
0
1
0.043919
false
0
0.023649
0
0.084459
0.033784
0
0
0
null
0
0
0
0
0
0
0
0
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
3291b0fa03bb75af83a902f66fc3f91285f8e9a3
9,147
py
Python
TM1py/Services/GitService.py
adscheevel/tm1py
8a53c7a63e3c0e2c6198c2cd0c2f57d10a7cfe43
[ "MIT" ]
113
2019-03-12T19:42:39.000Z
2022-03-31T22:40:05.000Z
TM1py/Services/GitService.py
adscheevel/tm1py
8a53c7a63e3c0e2c6198c2cd0c2f57d10a7cfe43
[ "MIT" ]
459
2019-01-25T09:32:18.000Z
2022-03-24T21:57:16.000Z
TM1py/Services/GitService.py
adscheevel/tm1py
8a53c7a63e3c0e2c6198c2cd0c2f57d10a7cfe43
[ "MIT" ]
107
2019-01-31T15:08:34.000Z
2022-03-16T14:58:38.000Z
# -*- coding: utf-8 -*- import json from typing import List from TM1py.Objects.Git import Git from TM1py.Objects.GitCommit import GitCommit from TM1py.Objects.GitPlan import GitPushPlan, GitPullPlan, GitPlan from TM1py.Services.ObjectService import ObjectService from TM1py.Services.RestService import RestService, Resp...
44.619512
117
0.608396
1,149
9,147
4.742385
0.181027
0.028262
0.014682
0.027895
0.49789
0.467058
0.445036
0.440264
0.430354
0.403927
0
0.007804
0.285558
9,147
204
118
44.838235
0.826014
0.282278
0
0.292453
0
0
0.101576
0.018365
0
0
0
0
0
1
0.075472
false
0.084906
0.075472
0
0.235849
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
1
3294741b0f8e1bf0eeabf4019d19a68a63e99c23
1,419
py
Python
tests/bind_tests/diagram_tests/strategies.py
lycantropos/voronoi
977e0b3e5eff2dd294e2e6ce1a8030c763e86233
[ "MIT" ]
null
null
null
tests/bind_tests/diagram_tests/strategies.py
lycantropos/voronoi
977e0b3e5eff2dd294e2e6ce1a8030c763e86233
[ "MIT" ]
null
null
null
tests/bind_tests/diagram_tests/strategies.py
lycantropos/voronoi
977e0b3e5eff2dd294e2e6ce1a8030c763e86233
[ "MIT" ]
null
null
null
from hypothesis import strategies from hypothesis_geometry import planar from tests.bind_tests.hints import (BoundCell, BoundDiagram, BoundEdge, BoundVertex) from tests.bind_tests.utils import (bound_source_cate...
44.34375
76
0.653982
132
1,419
6.80303
0.287879
0.089087
0.066815
0.040089
0.044543
0
0
0
0
0
0
0.005911
0.284708
1,419
31
77
45.774194
0.878818
0
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0.206897
0
0.206897
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
32955f3ecdc5ec46e6e7127a3ed57f1411af2c54
2,381
py
Python
apps/blog/serializers.py
yc19890920/dble_fastapi_blog
dd9b8984d849df893d4fea270e8b75ac12d01241
[ "Apache-2.0" ]
null
null
null
apps/blog/serializers.py
yc19890920/dble_fastapi_blog
dd9b8984d849df893d4fea270e8b75ac12d01241
[ "Apache-2.0" ]
2
2021-03-31T19:56:46.000Z
2021-04-30T21:19:15.000Z
apps/blog/serializers.py
yc19890920/dble_fastapi_blog
dd9b8984d849df893d4fea270e8b75ac12d01241
[ "Apache-2.0" ]
null
null
null
""" @Author: YangCheng @contact: 1248644045@qq.com @Software: Y.C @Time: 2020/7/21 15:22 """ from typing import List from pydantic import BaseModel, Field from tortoise import Tortoise from tortoise.contrib.pydantic import pydantic_model_creator, pydantic_queryset_creator from lib.tortoise.pydantic import json_...
25.063158
87
0.761025
237
2,381
7.506329
0.320675
0.047218
0.067454
0.047218
0.104553
0
0
0
0
0
0
0.01015
0.131037
2,381
94
88
25.329787
0.849686
0.099118
0
0
0
0
0.121653
0.050258
0
0
0
0
0
1
0
false
0
0.111111
0
0.481481
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
329a1a34027b83c6621340af222a98c0d43067e0
1,102
py
Python
Python/image_analysis_centerlines/analysis_example.py
fromenlab/guides
ac9831265f8219d5b5a8ee3a441fc77c7ae4fe3b
[ "MIT" ]
null
null
null
Python/image_analysis_centerlines/analysis_example.py
fromenlab/guides
ac9831265f8219d5b5a8ee3a441fc77c7ae4fe3b
[ "MIT" ]
null
null
null
Python/image_analysis_centerlines/analysis_example.py
fromenlab/guides
ac9831265f8219d5b5a8ee3a441fc77c7ae4fe3b
[ "MIT" ]
null
null
null
from skimage import img_as_bool, io, color, morphology import matplotlib.pyplot as plt import numpy as np import pandas as pd # Testing process # Import images one = img_as_bool(color.rgb2gray(io.imread('1.jpg'))) cross = img_as_bool(color.rgb2gray(io.imread('cross.jpg'))) grid = img_as_bool(color.rgb2gray(io.imread('...
34.4375
83
0.791289
170
1,102
4.864706
0.3
0.067715
0.043531
0.050786
0.221282
0.108827
0.108827
0
0
0
0
0.006036
0.098004
1,102
32
84
34.4375
0.825956
0.098004
0
0
0
0
0.024292
0
0
0
0
0
0
1
0
false
0
0.210526
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
329a5ba2f15a3280c3c7c2b2a6a0114abcec0cf9
485
py
Python
resources/settings.py
Miriel-py/Room-Wizard
83d86fe8e8fed8bb073b38465cd0e97b1a6113b8
[ "MIT" ]
null
null
null
resources/settings.py
Miriel-py/Room-Wizard
83d86fe8e8fed8bb073b38465cd0e97b1a6113b8
[ "MIT" ]
null
null
null
resources/settings.py
Miriel-py/Room-Wizard
83d86fe8e8fed8bb073b38465cd0e97b1a6113b8
[ "MIT" ]
null
null
null
# global_data.py import os from dotenv import load_dotenv # Read the bot token from the .env file load_dotenv() TOKEN = os.getenv('DISCORD_TOKEN') DEBUG_MODE = os.getenv('DEBUG_MODE') BOT_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) DB_FILE = os.path.join(BOT_DIR, 'database/room_wizard_db.db') ...
24.25
69
0.764948
78
485
4.5
0.512821
0.08547
0.074074
0.08547
0.205128
0.11396
0
0
0
0
0
0.053364
0.11134
485
20
70
24.25
0.761021
0.131959
0
0
0
0
0.203349
0.062201
0
0
0.019139
0
0
1
0
false
0
0.181818
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
329e532aeccbe51ed3829d6a07920bf7c69171ef
602
py
Python
Python OOP/Exams/23 August 2021/1, 2/project/astronaut/astronaut_repository.py
a-shiro/SoftUni-Courses
7d0ca6401017a28b5ff7e7fa3e5df8bba8ddbe77
[ "MIT" ]
null
null
null
Python OOP/Exams/23 August 2021/1, 2/project/astronaut/astronaut_repository.py
a-shiro/SoftUni-Courses
7d0ca6401017a28b5ff7e7fa3e5df8bba8ddbe77
[ "MIT" ]
null
null
null
Python OOP/Exams/23 August 2021/1, 2/project/astronaut/astronaut_repository.py
a-shiro/SoftUni-Courses
7d0ca6401017a28b5ff7e7fa3e5df8bba8ddbe77
[ "MIT" ]
null
null
null
class AstronautRepository: def __init__(self): self.astronauts = [] def add(self, astronaut): self.astronauts.append(astronaut) def remove(self, astronaut): self.astronauts.remove(astronaut) def find_by_name(self, name: str): for astronaut in self.astronauts: ...
30.1
92
0.609635
67
602
5.358209
0.432836
0.194986
0.094708
0.150418
0.21727
0.21727
0.21727
0
0
0
0
0.009501
0.300664
602
19
93
31.684211
0.84323
0
0
0
0
0
0
0
0
0
0
0
0
1
0.333333
false
0
0
0.066667
0.533333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
2
329eec6934c9b0ff2824d0ffd01a1902dae80850
1,767
py
Python
detection_algorithms/temporal_anomaly_detection/model_def.py
hanahs-deepfake-detection/detection-algorithms
6d7ec53eaf333adb10a1aba448f80fceaf7722be
[ "MIT" ]
null
null
null
detection_algorithms/temporal_anomaly_detection/model_def.py
hanahs-deepfake-detection/detection-algorithms
6d7ec53eaf333adb10a1aba448f80fceaf7722be
[ "MIT" ]
null
null
null
detection_algorithms/temporal_anomaly_detection/model_def.py
hanahs-deepfake-detection/detection-algorithms
6d7ec53eaf333adb10a1aba448f80fceaf7722be
[ "MIT" ]
null
null
null
""" Model Definition """ from tensorflow import keras from tensorflow.keras.applications import ResNet101V2 from tensorflow.keras.layers import ( BatchNormalization, Conv2D, Dense, Dropout, Flatten, LSTM, MaxPool2D, TimeDistributed, Lambda ) import tensorflow as tf from .spatial_transformer.bilinear_sampler i...
42.071429
84
0.654782
220
1,767
5.163636
0.322727
0.022887
0.104754
0.035211
0.242077
0.178697
0.088028
0.088028
0.088028
0.088028
0
0.04745
0.200905
1,767
41
85
43.097561
0.757082
0.009055
0
0.114286
0
0
0.021228
0
0
0
0
0
0
1
0.028571
false
0
0.142857
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
329f38947acdd5b4c36b6e62995a1a5be5206f16
1,515
py
Python
scripts/lwtnn-build-dummy-inputs.py
aghoshpub/lwtnn
979069b372f8c3d001d08fb0c756ff98954db644
[ "MIT" ]
98
2016-11-27T04:05:56.000Z
2022-02-28T17:14:19.000Z
scripts/lwtnn-build-dummy-inputs.py
aghoshpub/lwtnn
979069b372f8c3d001d08fb0c756ff98954db644
[ "MIT" ]
90
2016-11-24T15:13:31.000Z
2021-11-29T14:09:34.000Z
scripts/lwtnn-build-dummy-inputs.py
aghoshpub/lwtnn
979069b372f8c3d001d08fb0c756ff98954db644
[ "MIT" ]
46
2016-12-15T17:21:43.000Z
2022-01-27T22:45:42.000Z
#!/usr/bin/env python3 """Generate fake serialized NNs to test the lightweight classes""" import argparse import json import h5py import numpy as np def _run(): args = _get_args() _build_keras_arch("arch.json") _build_keras_inputs_file("variable_spec.json") _build_keras_weights("weights.h5", verbose=...
27.545455
72
0.634323
219
1,515
4.105023
0.410959
0.066741
0.043382
0.044494
0.171301
0.126808
0.126808
0.095662
0.095662
0.095662
0
0.027661
0.212541
1,515
54
73
28.055556
0.725901
0.054125
0
0.046512
1
0
0.112824
0
0
0
0
0
0
1
0.139535
false
0
0.093023
0.023256
0.27907
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
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
329f8f1e2538fb2f56b719613eee2ed54216347d
4,884
py
Python
osspeak/platforms/windows.py
OSSpeak/OSSpeak
327c38a37684165f87bf8d76ab2ca135b43b8ab7
[ "MIT" ]
1
2020-03-17T10:24:41.000Z
2020-03-17T10:24:41.000Z
osspeak/platforms/windows.py
OSSpeak/OSSpeak
327c38a37684165f87bf8d76ab2ca135b43b8ab7
[ "MIT" ]
12
2016-09-28T05:16:00.000Z
2020-11-27T22:32:40.000Z
osspeak/platforms/windows.py
OSSpeak/OSSpeak
327c38a37684165f87bf8d76ab2ca135b43b8ab7
[ "MIT" ]
null
null
null
''' Collection of Windows-specific I/O functions ''' import msvcrt import time import ctypes from platforms import winconstants, winclipboard EnumWindows = ctypes.windll.user32.EnumWindows EnumWindowsProc = ctypes.WINFUNCTYPE(ctypes.c_bool, ctypes.POINTER(ctypes.c_int), ctypes.POINTER(ctypes.c_int)) GetWindowText = c...
37.282443
123
0.719287
559
4,884
6.159213
0.255814
0.080163
0.120244
0.053732
0.250363
0.118211
0.069997
0.069997
0.069997
0.069997
0
0.020025
0.182023
4,884
131
124
37.282443
0.841802
0.019656
0
0.148148
0
0
0.010667
0
0
0
0
0
0
1
0.138889
false
0
0.037037
0.018519
0.296296
0.009259
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
32a0d30f56c4a1916c5ad0aef5a7b50495e1860b
715
py
Python
sudokusolver/common/messenger.py
Blondberg/SudokuSolver
4a6f1f927d41f7a39a953b9784b28d570edf1f09
[ "MIT" ]
null
null
null
sudokusolver/common/messenger.py
Blondberg/SudokuSolver
4a6f1f927d41f7a39a953b9784b28d570edf1f09
[ "MIT" ]
null
null
null
sudokusolver/common/messenger.py
Blondberg/SudokuSolver
4a6f1f927d41f7a39a953b9784b28d570edf1f09
[ "MIT" ]
null
null
null
# messenger.py - contains functions to create different kinds of messages like info or error # color the text, usage: print bcolors.WARNING + "Warning: No active frommets remain. Continue?" + bcolors.ENDC BCOLORS = { 'HEADER': '\033[95m', 'OKBLUE': '\033[94m', 'OKGREEN': '\033[92m', 'WARNING': '\033[9...
23.833333
111
0.633566
87
715
5.206897
0.528736
0.10596
0.125828
0
0
0
0
0
0
0
0
0.063574
0.186014
715
29
112
24.655172
0.714777
0.348252
0
0
0
0
0.297826
0
0
0
0
0
0
1
0.1875
false
0
0
0
0.1875
0.1875
0
0
0
null
0
0
0
0
0
0
0
0
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
32a23291b7486cbc9a87ce5a914dd735071b20e4
554
py
Python
test.py
w0w/miniPFC
63b1bf608de03efada2a1b57c0370b6a7c2bf1ad
[ "MIT" ]
null
null
null
test.py
w0w/miniPFC
63b1bf608de03efada2a1b57c0370b6a7c2bf1ad
[ "MIT" ]
null
null
null
test.py
w0w/miniPFC
63b1bf608de03efada2a1b57c0370b6a7c2bf1ad
[ "MIT" ]
null
null
null
import json import RPi.GPIO as GPIO from modules.sensor import getTempC, getHumidity def loadConfig(): with open('./config/pin.json') as data_file: data = json.load(data_file) return data currentPins = loadConfig().values() def bootActuators(): '''Assumes that pi is booting and set off al...
25.181818
63
0.66426
76
554
4.815789
0.644737
0.040984
0
0
0
0
0
0
0
0
0
0
0.220217
554
22
64
25.181818
0.847222
0.095668
0
0
0
0
0.074597
0
0
0
0
0
0
1
0.125
false
0
0.1875
0
0.375
0.125
0
0
0
null
0
0
0
0
0
0
0
0
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
32a426fd1c9efac97183a6c708ae91ac77c14062
1,170
py
Python
example.py
clagraff/habu
28d05c2fa2204b26177bbaed969648b92b89c735
[ "MIT" ]
null
null
null
example.py
clagraff/habu
28d05c2fa2204b26177bbaed969648b92b89c735
[ "MIT" ]
null
null
null
example.py
clagraff/habu
28d05c2fa2204b26177bbaed969648b92b89c735
[ "MIT" ]
null
null
null
import json import habu def do_req(uri, *args, **kwargs): route_data = { "/": { "_links": { "people": { "href": "/people" }, "animals": { "href": "/animals" } } }, "/people": { "_links": { "self": { "href":...
23.4
105
0.417949
105
1,170
4.47619
0.438095
0.119149
0.082979
0.080851
0.178723
0.178723
0.178723
0.178723
0.178723
0
0
0.007194
0.405983
1,170
49
106
23.877551
0.669065
0
0
0.073171
0
0
0.232479
0
0
0
0
0
0
1
0.04878
false
0
0.04878
0
0.121951
0.073171
0
0
0
null
0
0
0
0
0
0
0
0
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
32a62b611ae086d7c010dc8106960f0f8f3738b2
1,162
py
Python
notify_tweet.py
mkaraki/WatchTweets
9b0a4ef66e38311453fff99d02091758b1bd0df5
[ "MIT" ]
null
null
null
notify_tweet.py
mkaraki/WatchTweets
9b0a4ef66e38311453fff99d02091758b1bd0df5
[ "MIT" ]
1
2022-01-26T18:03:15.000Z
2022-01-26T18:03:35.000Z
notify_tweet.py
mkaraki/WatchTweets
9b0a4ef66e38311453fff99d02091758b1bd0df5
[ "MIT" ]
null
null
null
import json import os import requests from dotenv import load_dotenv # You have to configure in this file to notify other services def notifyHandler(tweet): notifyDiscord(tweet) return def notifyDiscord(tweet, find_user_info=False): msg = tweet['text'] if ('entities' in tweet and 'urls' in tweet[...
26.409091
87
0.553356
129
1,162
4.883721
0.534884
0.031746
0.04127
0.057143
0.07619
0
0
0
0
0
0
0
0.288296
1,162
43
88
27.023256
0.76179
0.050775
0
0.0625
0
0
0.286104
0
0
0
0
0
0
1
0.0625
false
0
0.125
0
0.25
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
32aa7faedb604f995e124967e180cd9dc0c8087d
2,245
py
Python
credentials.py
Ken-mbira/Trust_Password_Protector
7d4d25e6d10582c21cc84ce0ffdffe45d45c0d63
[ "MIT" ]
null
null
null
credentials.py
Ken-mbira/Trust_Password_Protector
7d4d25e6d10582c21cc84ce0ffdffe45d45c0d63
[ "MIT" ]
null
null
null
credentials.py
Ken-mbira/Trust_Password_Protector
7d4d25e6d10582c21cc84ce0ffdffe45d45c0d63
[ "MIT" ]
1
2021-09-07T05:08:02.000Z
2021-09-07T05:08:02.000Z
import random import string class Cred: """ This is a class that makes the user credentials for their different accounts """ def __init__(self,account_name,user_name,email,password): """ This will construct an instance of the credentials class """ self.account_name ...
32.071429
128
0.632962
264
2,245
5.276515
0.314394
0.055276
0.038765
0.031587
0.116296
0.116296
0.116296
0.116296
0.116296
0.116296
0
0
0.304677
2,245
70
129
32.071429
0.892377
0.354566
0
0.258065
0
0
0
0
0
0
0
0
0
1
0.225806
false
0.096774
0.064516
0
0.516129
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
1
0
0
1
0
0
3
32ac15da27e5771cb19e9b355fd09244b1a2fee3
561
py
Python
misprogs/sensor_Luz_LCD.py
dacocube/CursoGalileo
1dac903031d9ff61174cb0c5e00e3f3795ea60de
[ "Apache-2.0" ]
null
null
null
misprogs/sensor_Luz_LCD.py
dacocube/CursoGalileo
1dac903031d9ff61174cb0c5e00e3f3795ea60de
[ "Apache-2.0" ]
null
null
null
misprogs/sensor_Luz_LCD.py
dacocube/CursoGalileo
1dac903031d9ff61174cb0c5e00e3f3795ea60de
[ "Apache-2.0" ]
null
null
null
import signal import sys import time import pyupm_grove as grove import pyupm_i2clcd as lcd def interruptHandler(signal, frame): sys.exit(0) if __name__=='__main__': signal.signal(signal.SIGINT, interruptHandler) myLcd = lcd.Jhd1313m1(0, 0x3E,0x62) sensorluz=grove.GroveLight(0) coloR=255 colorG=200 colorB=100...
20.777778
63
0.761141
82
561
5.085366
0.634146
0.052758
0
0
0
0
0
0
0
0
0
0.061856
0.135472
561
26
64
21.576923
0.797938
0.108734
0
0
0
0
0.022044
0
0
0
0.016032
0
0
1
0.047619
false
0
0.238095
0
0.285714
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
32b0d4c387e53daeda7939c3bdfe5d3e18cb6dbb
210
py
Python
setup.py
cogsy23/pyfsm
22236994f7455a39489d1438b7c8bbcd081352be
[ "MIT" ]
null
null
null
setup.py
cogsy23/pyfsm
22236994f7455a39489d1438b7c8bbcd081352be
[ "MIT" ]
null
null
null
setup.py
cogsy23/pyfsm
22236994f7455a39489d1438b7c8bbcd081352be
[ "MIT" ]
null
null
null
from setuptools import setup, find_packages setup( name='FSM', version='0.1', author='Ben Coughlan', author_email='ben@cgsy.com.au', packages=find_packages(), license_file='LICENSE', )
19.090909
43
0.666667
27
210
5.037037
0.740741
0.176471
0
0
0
0
0
0
0
0
0
0.011696
0.185714
210
10
44
21
0.783626
0
0
0
0
0
0.190476
0
0
0
0
0
0
1
0
true
0
0.111111
0
0.111111
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
2
32b26100558c8d0079fd4f055056d994cd62c099
9,553
py
Python
clustviz/clarans.py
barbarametzler/ClustViz
a460e1ffb5195dfe1e12bca106366901d169a690
[ "MIT" ]
6
2019-11-14T11:22:54.000Z
2020-03-01T09:14:21.000Z
clustviz/clarans.py
barbarametzler/ClustViz
a460e1ffb5195dfe1e12bca106366901d169a690
[ "MIT" ]
2
2020-07-21T07:49:07.000Z
2021-04-06T16:16:09.000Z
clustviz/clarans.py
barbarametzler/ClustViz
a460e1ffb5195dfe1e12bca106366901d169a690
[ "MIT" ]
5
2020-07-14T15:22:00.000Z
2022-03-19T19:45:32.000Z
import random from typing import Tuple, Dict, Any import scipy import itertools import graphviz import numpy as np import pandas as pd from clustviz.pam import plot_pam from pyclustering.utils import euclidean_distance_square from pyclustering.cluster.clarans import clarans as clarans_pyclustering class clarans(cla...
36.185606
114
0.539098
980
9,553
4.968367
0.234694
0.036147
0.040049
0.022592
0.240501
0.177449
0.121586
0.111316
0.104539
0.084822
0
0.006726
0.39307
9,553
263
115
36.323194
0.833046
0.185596
0
0.231707
0
0
0.038522
0
0
0
0
0
0
1
0.02439
false
0.006098
0.060976
0
0.109756
0.036585
0
0
0
null
0
0
0
0
0
0
0
0
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
32b489e63deb6a7323ecb9996f33d06edac172bd
1,507
py
Python
bin/demo_findit_backup_url.py
cariaso/metapub
bfa361dd6e5de8ee0859e596d490fb478f7dcfba
[ "Apache-2.0" ]
28
2019-09-09T08:12:31.000Z
2021-12-17T00:09:14.000Z
bin/demo_findit_backup_url.py
cariaso/metapub
bfa361dd6e5de8ee0859e596d490fb478f7dcfba
[ "Apache-2.0" ]
33
2019-11-07T05:36:04.000Z
2022-01-29T01:14:57.000Z
bin/demo_findit_backup_url.py
cariaso/metapub
bfa361dd6e5de8ee0859e596d490fb478f7dcfba
[ "Apache-2.0" ]
10
2019-09-09T10:04:05.000Z
2021-06-08T16:00:14.000Z
from __future__ import absolute_import, print_function, unicode_literals import os import requests from metapub.findit import FindIt from metapub.exceptions import * from requests.packages import urllib3 urllib3.disable_warnings() OUTPUT_DIR = 'findit' CURL_TIMEOUT = 4000 def try_request(url): # verify=False m...
28.433962
98
0.666224
205
1,507
4.717073
0.44878
0.055843
0.062048
0.074457
0.136505
0.136505
0.066184
0
0
0
0
0.020924
0.238885
1,507
52
99
28.980769
0.822145
0.028534
0
0.1
0
0
0.069178
0
0
0
0
0
0
1
0.05
false
0
0.175
0
0.3
0.175
0
0
0
null
0
0
0
0
0
0
0
0
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
32b5c206b4bd2dca61a6557018af529be9b8ba2f
3,939
py
Python
kgcnn/layers/conv/dmpnn_conv.py
the16thpythonist/gcnn_keras
27d794095b684333d93149c825d84b85df8c30ff
[ "MIT" ]
47
2021-03-10T10:15:42.000Z
2022-03-14T00:53:40.000Z
kgcnn/layers/conv/dmpnn_conv.py
the16thpythonist/gcnn_keras
27d794095b684333d93149c825d84b85df8c30ff
[ "MIT" ]
36
2021-05-06T15:06:51.000Z
2022-03-02T13:06:16.000Z
kgcnn/layers/conv/dmpnn_conv.py
the16thpythonist/gcnn_keras
27d794095b684333d93149c825d84b85df8c30ff
[ "MIT" ]
11
2021-04-05T02:14:27.000Z
2022-03-02T03:25:52.000Z
import tensorflow as tf from kgcnn.layers.base import GraphBaseLayer from kgcnn.layers.gather import GatherNodesOutgoing, GatherNodesIngoing from kgcnn.layers.pooling import PoolingLocalEdges from kgcnn.layers.modules import LazySubtract @tf.keras.utils.register_keras_serializable(package='kgcnn', name='DMPNNGatherE...
43.766667
117
0.67276
477
3,939
5.381551
0.289308
0.049085
0.032723
0.030386
0.354889
0.340475
0.293728
0.201792
0.172965
0.131671
0
0.010081
0.219345
3,939
89
118
44.258427
0.824715
0.369383
0
0.15
0
0
0.026258
0.020569
0
0
0
0
0.025
1
0.15
false
0
0.125
0
0.375
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
32b80da9076a6963ab2a24a72478920a41611e59
181
py
Python
src/keys_management/secret_key/types.py
nielsen-oss/keys-management
ddeeceb19dae68516272fe13dfc6521dcbe295f2
[ "Apache-2.0" ]
6
2021-06-25T17:21:18.000Z
2021-07-13T17:31:28.000Z
src/keys_management/secret_key/types.py
nielsen-oss/keys-management
ddeeceb19dae68516272fe13dfc6521dcbe295f2
[ "Apache-2.0" ]
null
null
null
src/keys_management/secret_key/types.py
nielsen-oss/keys-management
ddeeceb19dae68516272fe13dfc6521dcbe295f2
[ "Apache-2.0" ]
null
null
null
from typing import Callable, Tuple, Union StrOrBytes = Union[str, bytes] StrOrBytesPair = Tuple[StrOrBytes, StrOrBytes] KeysStore = Callable[[], Union[StrOrBytes, StrOrBytesPair]]
30.166667
59
0.78453
19
181
7.473684
0.578947
0.211268
0
0
0
0
0
0
0
0
0
0
0.110497
181
5
60
36.2
0.881988
0
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0.25
0
0.25
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
3
32b877d4916dd5d40bd6976997b7ef7d01823785
349
py
Python
api/admin.py
jchmura/suchary-django
af2e8a62d222fd6eb18f29af95c23ab098ccc2a6
[ "MIT" ]
null
null
null
api/admin.py
jchmura/suchary-django
af2e8a62d222fd6eb18f29af95c23ab098ccc2a6
[ "MIT" ]
2
2021-03-19T21:54:17.000Z
2021-06-10T19:20:12.000Z
api/admin.py
jchmura/suchary-django
af2e8a62d222fd6eb18f29af95c23ab098ccc2a6
[ "MIT" ]
null
null
null
from django.contrib import admin from api.models import Device class DeviceAdmin(admin.ModelAdmin): list_display = ['android_id', 'alias', 'model', 'os_version', 'version', 'created', 'last_seen', 'active'] list_filter = ['active'] search_fields = ['registration_id', 'android_id', 'alias'] admin.site.r...
26.846154
110
0.713467
42
349
5.738095
0.690476
0.074689
0.116183
0
0
0
0
0
0
0
0
0
0.13467
349
12
111
29.083333
0.798013
0
0
0
0
0
0.272206
0
0
0
0
0
0
1
0
false
0
0.285714
0
0.857143
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
32b93fe289994ee8aa84e901e1536e526ce09b82
169
py
Python
project/help/urls.py
samuraii/otus_python_backend
1bc7c8953a03008c94dd4b0ca89a7c830772f79a
[ "MIT" ]
null
null
null
project/help/urls.py
samuraii/otus_python_backend
1bc7c8953a03008c94dd4b0ca89a7c830772f79a
[ "MIT" ]
null
null
null
project/help/urls.py
samuraii/otus_python_backend
1bc7c8953a03008c94dd4b0ca89a7c830772f79a
[ "MIT" ]
null
null
null
# from django.contrib import admin # from django.urls import path from django.conf.urls import url from help import views urlpatterns = [ url(r'^$', views.index) ]
18.777778
34
0.727811
25
169
4.92
0.56
0.243902
0
0
0
0
0
0
0
0
0
0
0.171598
169
8
35
21.125
0.878571
0.360947
0
0
0
0
0.019048
0
0
0
0
0
0
1
0
false
0
0.4
0
0.4
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
4
32b9a1053b526032d5d6c19f20fe7c9cbc1b1859
5,299
py
Python
social_network/utils.py
diana-gv/django-social-network
48bafca81f28874ceead59e263ce5b7e3853dbfb
[ "BSD-3-Clause" ]
3
2015-01-13T05:45:04.000Z
2020-01-10T19:05:35.000Z
social_network/utils.py
diana-gv/django-social-network
48bafca81f28874ceead59e263ce5b7e3853dbfb
[ "BSD-3-Clause" ]
null
null
null
social_network/utils.py
diana-gv/django-social-network
48bafca81f28874ceead59e263ce5b7e3853dbfb
[ "BSD-3-Clause" ]
6
2015-01-13T04:40:53.000Z
2021-08-13T01:07:40.000Z
# coding=utf-8 import random from django.core.cache import cache from django.core.exceptions import ObjectDoesNotExist from django.utils.translation import ugettext as _ from notifications.models import EventType from social_graph import EdgeType try: from hashlib import sha1 as sha_constructor, md5 as md5_constru...
31.35503
93
0.670881
671
5,299
4.988078
0.196721
0.072602
0.052584
0.035853
0.35375
0.291903
0.18046
0.113833
0.088139
0.047804
0
0.00534
0.222495
5,299
169
94
31.35503
0.807039
0.13663
0
0.380165
0
0
0.111406
0.073533
0
0
0
0.005917
0
1
0.082645
false
0.07438
0.090909
0
0.347107
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
1
32ba91d9753d50c77b106fbc0d73eade94889fbb
219
py
Python
datavis/urls.py
poulomihore/iot-hackathon
4f90c12c164f3ee09341fc1381b1f7898a5d3055
[ "MIT" ]
null
null
null
datavis/urls.py
poulomihore/iot-hackathon
4f90c12c164f3ee09341fc1381b1f7898a5d3055
[ "MIT" ]
null
null
null
datavis/urls.py
poulomihore/iot-hackathon
4f90c12c164f3ee09341fc1381b1f7898a5d3055
[ "MIT" ]
null
null
null
from django.urls import path from . import views urlpatterns = [ path('', views.get_percentage, name='get_percentage'), path('get_percentage_value', views.get_percentage_value, name='get_percentage_value'), ]
24.333333
90
0.748858
28
219
5.571429
0.392857
0.416667
0.346154
0
0
0
0
0
0
0
0
0
0.127854
219
8
91
27.375
0.816754
0
0
0
0
0
0.246575
0
0
0
0
0
0
1
0
false
0
0.333333
0
0.333333
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
5
32bb0cd05fa6989d453a40177c162d1a6d206545
10,866
py
Python
datafiles/migrations/0001_initial.py
ChalkLab/SciFlow
5bf021007d6184402ebfe6cefc2111d99160cb69
[ "MIT" ]
1
2021-04-26T20:03:11.000Z
2021-04-26T20:03:11.000Z
datafiles/migrations/0001_initial.py
ChalkLab/SciFlow
5bf021007d6184402ebfe6cefc2111d99160cb69
[ "MIT" ]
17
2021-04-23T16:51:59.000Z
2021-12-13T21:17:41.000Z
datafiles/migrations/0001_initial.py
ChalkLab/SciFlow
5bf021007d6184402ebfe6cefc2111d99160cb69
[ "MIT" ]
null
null
null
# Generated by Django 3.2.8 on 2021-10-12 15:54 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='AspectActlog', fields=[ ('id', models.AutoF...
43.119048
117
0.510307
921
10,866
5.87405
0.137894
0.130314
0.073198
0.097597
0.83512
0.786691
0.594455
0.577819
0.577819
0.537708
0
0.019457
0.342536
10,866
251
118
43.290837
0.737822
0.004141
0
0.639344
1
0
0.113874
0
0
0
0
0
0
1
0
false
0
0.004098
0
0.020492
0
0
0
0
null
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
3
32bd83533b8a10d702670e0618e12d21f2714992
712
py
Python
f8a_jobs/handlers/flow.py
sawood14012/fabric8-analytics-jobs
a7d850dfef5785144676b9a3b4e29942161e5347
[ "Apache-2.0" ]
5
2017-05-04T11:22:31.000Z
2018-08-24T16:12:30.000Z
f8a_jobs/handlers/flow.py
sawood14012/fabric8-analytics-jobs
a7d850dfef5785144676b9a3b4e29942161e5347
[ "Apache-2.0" ]
325
2017-05-03T08:44:03.000Z
2021-12-13T21:03:49.000Z
f8a_jobs/handlers/flow.py
sawood14012/fabric8-analytics-jobs
a7d850dfef5785144676b9a3b4e29942161e5347
[ "Apache-2.0" ]
28
2017-05-02T05:09:32.000Z
2021-03-11T09:42:34.000Z
"""Schedule multiple flows of a type.""" from .base import BaseHandler class FlowScheduling(BaseHandler): """Schedule multiple flows of a type.""" def execute(self, flow_name, flow_arguments): """Schedule multiple flows of a type, do filter expansion if needed. :param flow_name: flow name t...
33.904762
76
0.651685
94
712
4.734043
0.425532
0.089888
0.141573
0.155056
0.305618
0.305618
0
0
0
0
0
0
0.273876
712
20
77
35.6
0.860735
0.345506
0
0
0
0
0
0
0
0
0
0
0
1
0.111111
false
0
0.111111
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
32bdf6c9f66952e90bfd46bcfa58f2ec034c3c0d
1,032
py
Python
mako/stats/notifier.py
zer0tonin/mako
12420056e13e1acd333e686537d5ebc909450620
[ "MIT" ]
null
null
null
mako/stats/notifier.py
zer0tonin/mako
12420056e13e1acd333e686537d5ebc909450620
[ "MIT" ]
1
2021-06-02T04:22:46.000Z
2021-06-02T04:22:46.000Z
mako/stats/notifier.py
zer0tonin/mako
12420056e13e1acd333e686537d5ebc909450620
[ "MIT" ]
null
null
null
import logging logger = logging.getLogger(__name__) class Notifier: def __init__(self, redis): self.redis = redis async def notify_guilds(self): guilds_set = "guilds" logger.debug("Scanning {}".format(guilds_set)) result = [] async for guild_id in self.redis.isscan(...
30.352941
86
0.631783
130
1,032
4.761538
0.323077
0.087237
0.067851
0.048465
0.109855
0.109855
0.109855
0.109855
0
0
0
0
0.255814
1,032
33
87
31.272727
0.80599
0
0
0.25
0
0
0.092054
0
0
0
0
0
0
1
0.041667
false
0
0.041667
0
0.208333
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
32be27b57feb5ea94289c2693437fff5fe254149
286
py
Python
app/models/users.py
muzzammilh/valid-voice
7e5f8211471cfeb1f404de6b0b715196e8276b41
[ "MIT" ]
null
null
null
app/models/users.py
muzzammilh/valid-voice
7e5f8211471cfeb1f404de6b0b715196e8276b41
[ "MIT" ]
null
null
null
app/models/users.py
muzzammilh/valid-voice
7e5f8211471cfeb1f404de6b0b715196e8276b41
[ "MIT" ]
null
null
null
from app.helpers.sqlalchemy import db class Role(db.Model): __tablename__ = 'tt' id = db.Column(db.Integer, primary_key=True) name = db.Column(db.String(64), unique=True) default = db.Column(db.Boolean, default=False, index=True) permissions = db.Column(db.Integer)
35.75
62
0.706294
42
286
4.690476
0.619048
0.162437
0.203046
0.172589
0
0
0
0
0
0
0
0.008299
0.157343
286
8
63
35.75
0.809129
0
0
0
0
0
0.006969
0
0
0
0
0
0
1
0
false
0
0.142857
0
1
0
0
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
4
32c012e2243ac30d8702a0e4c7e1a09c458c9ec8
12,819
py
Python
pysnmp/HUAWEI-CDP-COMPLIANCE-MIB.py
agustinhenze/mibs.snmplabs.com
1fc5c07860542b89212f4c8ab807057d9a9206c7
[ "Apache-2.0" ]
11
2021-02-02T16:27:16.000Z
2021-08-31T06:22:49.000Z
pysnmp/HUAWEI-CDP-COMPLIANCE-MIB.py
agustinhenze/mibs.snmplabs.com
1fc5c07860542b89212f4c8ab807057d9a9206c7
[ "Apache-2.0" ]
75
2021-02-24T17:30:31.000Z
2021-12-08T00:01:18.000Z
pysnmp/HUAWEI-CDP-COMPLIANCE-MIB.py
agustinhenze/mibs.snmplabs.com
1fc5c07860542b89212f4c8ab807057d9a9206c7
[ "Apache-2.0" ]
10
2019-04-30T05:51:36.000Z
2022-02-16T03:33:41.000Z
# # PySNMP MIB module HUAWEI-CDP-COMPLIANCE-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HUAWEI-CDP-COMPLIANCE-MIB # Produced by pysmi-0.3.4 at Mon Apr 29 19:31:50 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3....
140.868132
2,381
0.791715
1,244
12,819
8.156752
0.138264
0.010446
0.010939
0.014586
0.297625
0.230413
0.213758
0.187543
0.180447
0.180447
0
0.072977
0.075357
12,819
90
2,382
142.433333
0.783093
0.026835
0
0.060976
0
0
0.176961
0.10276
0
0
0
0
0
1
0
false
0
0.121951
0
0.121951
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
32c0b9c3ba62988df85d3108c0c4b36be8f563b9
1,223
py
Python
pybb/contrib/mentions/processors.py
thoas/pybbm
0e7ab7ef60f15951660015f2b9be0ff7192f1095
[ "BSD-2-Clause" ]
1
2015-05-18T09:19:30.000Z
2015-05-18T09:19:30.000Z
pybb/contrib/mentions/processors.py
ulule/pybbm
0e7ab7ef60f15951660015f2b9be0ff7192f1095
[ "BSD-2-Clause" ]
5
2017-06-13T16:25:34.000Z
2018-07-17T20:30:56.000Z
pybb/contrib/mentions/processors.py
ulule/pybbm
0e7ab7ef60f15951660015f2b9be0ff7192f1095
[ "BSD-2-Clause" ]
1
2018-10-29T13:12:59.000Z
2018-10-29T13:12:59.000Z
import re from pybb.processors import BaseProcessor from pybb.compat import get_user_model from . import settings class MentionProcessor(BaseProcessor): username_re = r'@([\w\-]+)' format = '@%(username)s' tag = '[mention=%(user_id)s]%(username)s[/mention]' model = get_user_model() def get_user...
25.479167
98
0.562551
138
1,223
4.797101
0.297101
0.036254
0.036254
0
0
0
0
0
0
0
0
0.001227
0.333606
1,223
47
99
26.021277
0.811043
0
0
0.125
0
0
0.080948
0.035159
0
0
0
0
0
1
0.125
false
0
0.125
0.0625
0.53125
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
1
32c304191982cf35da8aed8e53fd875c3bef3ba2
1,505
py
Python
PageObjectModel/Test/addAndEditionData.py
lblaszkowski/Arena
61f924bc7c3994ec7714fe68f60b02b35ccd286b
[ "Apache-2.0" ]
null
null
null
PageObjectModel/Test/addAndEditionData.py
lblaszkowski/Arena
61f924bc7c3994ec7714fe68f60b02b35ccd286b
[ "Apache-2.0" ]
null
null
null
PageObjectModel/Test/addAndEditionData.py
lblaszkowski/Arena
61f924bc7c3994ec7714fe68f60b02b35ccd286b
[ "Apache-2.0" ]
null
null
null
import unittest from selenium import webdriver from PageObjectModel.Pages.addAndEditionDataPage import AddAndEditionData_Page from time import sleep url = 'https://buggy-testingcup.pgs-soft.com/' class AddAndEditionDataPage(unittest.TestCase): def setUp(self, browser="mozilla", task="task_3"): if browse...
32.717391
106
0.67907
142
1,505
7.126761
0.528169
0.098814
0.037549
0.043478
0.092885
0.092885
0.092885
0.092885
0.092885
0.092885
0
0.013594
0.21794
1,505
45
107
33.444444
0.846219
0
0
0.121212
0
0
0.145333
0.056
0
0
0
0
0
1
0.090909
false
0
0.121212
0
0.272727
0.030303
0
0
0
null
0
0
0
0
0
0
0
0
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
32c40b429ba7f1090b72fd13e36b8055346940c3
827
py
Python
q2_api_client/clients/mobile_ws/calendar_client.py
jcook00/q2-api-client
4431af164eb4baf52e26e8842e017cad1609a279
[ "BSD-2-Clause" ]
null
null
null
q2_api_client/clients/mobile_ws/calendar_client.py
jcook00/q2-api-client
4431af164eb4baf52e26e8842e017cad1609a279
[ "BSD-2-Clause" ]
null
null
null
q2_api_client/clients/mobile_ws/calendar_client.py
jcook00/q2-api-client
4431af164eb4baf52e26e8842e017cad1609a279
[ "BSD-2-Clause" ]
null
null
null
from q2_api_client.clients.base_q2_client import BaseQ2Client from q2_api_client.endpoints.mobile_ws_endpoints import CalendarEndpoint class CalendarClient(BaseQ2Client): def get_calendar(self): """GET /mobilews/calendar :return: Response object :rtype: requests.Response """ ...
33.08
108
0.718259
90
827
6.344444
0.411111
0.105079
0.031524
0.052539
0.381786
0.381786
0.381786
0.381786
0.255692
0
0
0.007541
0.198307
827
24
109
34.458333
0.853695
0.255139
0
0.222222
0
0
0
0
0
0
0
0
0
1
0.222222
false
0
0.222222
0
0.777778
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
2
32c4baf38f537ef55e48bae1faabe6aee1fe7ca3
11,477
py
Python
cg_token.py
gmnicke2/GISolve-API-Util
74d10d2ae60c1f000ef151a394ef9276b284867a
[ "MIT" ]
null
null
null
cg_token.py
gmnicke2/GISolve-API-Util
74d10d2ae60c1f000ef151a394ef9276b284867a
[ "MIT" ]
null
null
null
cg_token.py
gmnicke2/GISolve-API-Util
74d10d2ae60c1f000ef151a394ef9276b284867a
[ "MIT" ]
null
null
null
#!/usr/bin/env python """ Set of utilities to issue/verify/revoke a CG token with REST calls Requires valid username and password either in bash environment or given at the command line. Issue Token: Token can be easily created (and stored to env) with the folloing: # create token using CG_USERNAME, ...
33.55848
81
0.611658
1,386
11,477
4.984127
0.227273
0.0152
0.024609
0.014765
0.1837
0.143167
0.091922
0.085263
0.066589
0.046902
0
0.008039
0.273852
11,477
341
82
33.656892
0.820854
0.01246
0
0.169811
0
0
0.199081
0.003982
0
0
0
0
0
0
null
null
0.08805
0.037736
null
null
0.012579
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
1
0
0
0
0
0
2
32c57ec480ef32335403cba14fba78c713f0eb97
741
py
Python
azext_script/compilers/az/handlers/HDInsight.py
yorek/adl
d9da1b7d46c71415e38a6efe5b1c8d45b02b3704
[ "MIT" ]
null
null
null
azext_script/compilers/az/handlers/HDInsight.py
yorek/adl
d9da1b7d46c71415e38a6efe5b1c8d45b02b3704
[ "MIT" ]
1
2018-10-15T05:51:38.000Z
2018-10-15T05:51:38.000Z
azext_script/compilers/az/handlers/HDInsight.py
yorek/adl
d9da1b7d46c71415e38a6efe5b1c8d45b02b3704
[ "MIT" ]
1
2018-10-18T18:41:02.000Z
2018-10-18T18:41:02.000Z
from .Generic import GenericHandler class HDInsightHandler(GenericHandler): azure_object = "hdinsight" def execute(self): fqn = self.get_full_resource_name() self.add_context_parameter("resource-group", "group") if fqn == "hdinsight" and self.action == "create": ...
30.875
70
0.618084
75
741
5.92
0.506667
0.189189
0.063063
0.103604
0
0
0
0
0
0
0
0
0.279352
741
23
71
32.217391
0.831461
0
0
0
0
0
0.17027
0.02973
0
0
0
0
0
1
0.066667
false
0
0.066667
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
32c59fc06a151e5b5740b23fbb1aff371ee1d8f2
30,841
py
Python
a2-py-beta/erd_converter.py
francisgerman70/CSC370
0682ea5abdfdbc87b76efd18f98e27a6c49d2b45
[ "MIT" ]
null
null
null
a2-py-beta/erd_converter.py
francisgerman70/CSC370
0682ea5abdfdbc87b76efd18f98e27a6c49d2b45
[ "MIT" ]
null
null
null
a2-py-beta/erd_converter.py
francisgerman70/CSC370
0682ea5abdfdbc87b76efd18f98e27a6c49d2b45
[ "MIT" ]
null
null
null
from audioop import add from erd import * from table import * # This function converts an ERD object into a Database object # The Database object should correspond to a fully correct implementation # of the ERD, including both data structure and constraints, such that the # CREATE TABLE statements generated by the Dat...
55.171735
303
0.642489
4,555
30,841
4.139846
0.02854
0.222411
0.318502
0.115077
0.914833
0.894946
0.878825
0.867158
0.861219
0.841703
0
0.024347
0.200934
30,841
559
304
55.171735
0.740829
0.13829
0
0.732984
0
0
0
0
0
0
0
0.001789
0
1
0.028796
false
0
0.007853
0
0.112565
0
0
0
0
null
1
1
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
9
32c6b6ee54440932d94dc43f2f2f342cc123a082
1,848
py
Python
ObitSystem/ObitSD/scripts/scriptResidCal.py
sarrvesh/Obit
e4ce6029e9beb2a8c0316ee81ea710b66b2b7986
[ "Linux-OpenIB" ]
5
2019-08-26T06:53:08.000Z
2020-10-20T01:08:59.000Z
ObitSystem/ObitSD/scripts/scriptResidCal.py
sarrvesh/Obit
e4ce6029e9beb2a8c0316ee81ea710b66b2b7986
[ "Linux-OpenIB" ]
null
null
null
ObitSystem/ObitSD/scripts/scriptResidCal.py
sarrvesh/Obit
e4ce6029e9beb2a8c0316ee81ea710b66b2b7986
[ "Linux-OpenIB" ]
8
2017-08-29T15:12:32.000Z
2022-03-31T12:16:08.000Z
# Program to self calibrate OTF data import Obit, OTF, Image, OSystem, OErr, OTFGetSoln, InfoList, Table # Init Obit err=OErr.OErr() ObitSys=OSystem.OSystem ("Python", 1, 103, 1, ["None"], 1, ["./"], 1, 0, err) OErr.printErrMsg(err, "Error with Obit startup") # Files disk = 1 # Dirty inFullFile = "OTFDirtyFull.fits"...
31.862069
77
0.715368
239
1,848
5.531381
0.380753
0.026475
0.039334
0.048412
0.113464
0.043873
0
0
0
0
0
0.027336
0.14881
1,848
57
78
32.421053
0.813096
0.200216
0
0.052632
0
0
0.136488
0
0
0
0
0
0
0
null
null
0
0.026316
null
null
0.105263
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
1
32c6c31592e8107e78ef2bb52771dcffacd50781
393
py
Python
html_mining/twitter.py
sourceperl/sandbox
bbe1be52c3e51906a8ec94411c4df6a95dcbb39c
[ "MIT" ]
null
null
null
html_mining/twitter.py
sourceperl/sandbox
bbe1be52c3e51906a8ec94411c4df6a95dcbb39c
[ "MIT" ]
null
null
null
html_mining/twitter.py
sourceperl/sandbox
bbe1be52c3e51906a8ec94411c4df6a95dcbb39c
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 # -*- coding: utf-8 -*- import requests from bs4 import BeautifulSoup r = requests.get("https://twitter.com/ThePSF", headers={"User-Agent": ""}) if r.status_code == 200: s = BeautifulSoup(r.content, "html.parser") # extract tweets l_tw = [] for p in s.find_all("p", attrs={"clas...
23.117647
74
0.62341
58
393
4.137931
0.775862
0.0375
0
0
0
0
0
0
0
0
0
0.018692
0.183206
393
16
75
24.5625
0.728972
0.147583
0
0
0
0
0.189759
0
0
0
0
0
0
1
0
false
0
0.222222
0
0.222222
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
32c80a80f478110db9183291633d248502cd65ad
590
py
Python
warehouse_labeling_machines/libs/utils.py
sdg97/warehouse_labeling_machines
3650b9fb2d3fef85ee01925acf0a9266dafe746a
[ "Apache-2.0" ]
null
null
null
warehouse_labeling_machines/libs/utils.py
sdg97/warehouse_labeling_machines
3650b9fb2d3fef85ee01925acf0a9266dafe746a
[ "Apache-2.0" ]
null
null
null
warehouse_labeling_machines/libs/utils.py
sdg97/warehouse_labeling_machines
3650b9fb2d3fef85ee01925acf0a9266dafe746a
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/python # -*- coding: utf-8 -*- import decimal import multiprocessing import random def roundDecimal(v): ''' Sembra che l'arrotondamento di un decimal sia più complicato del previsto ''' return v.quantize(decimal.Decimal('0.01'), rounding=decimal.ROUND_HALF_UP) def maybeStart(startCb, deb...
21.851852
78
0.666102
75
590
5.2
0.72
0.020513
0
0
0
0
0
0
0
0
0
0.015317
0.225424
590
26
79
22.692308
0.838074
0.366102
0
0
0
0
0.011834
0
0
0
0
0
0
1
0.181818
false
0
0.272727
0
0.636364
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
32c8f25c548f019704dfb22f0db7ab07f62d2dd9
504
py
Python
projeto/main/migrations/0017_alter_user_room.py
neilom18/g5-chess
8998199b3432f0b83aa27e5c2126173ecc87f311
[ "MIT" ]
null
null
null
projeto/main/migrations/0017_alter_user_room.py
neilom18/g5-chess
8998199b3432f0b83aa27e5c2126173ecc87f311
[ "MIT" ]
1
2021-10-03T22:26:45.000Z
2021-10-03T22:26:45.000Z
projeto/main/migrations/0017_alter_user_room.py
neilom18/g5-chess
8998199b3432f0b83aa27e5c2126173ecc87f311
[ "MIT" ]
null
null
null
# Generated by Django 3.2.4 on 2021-09-24 15:29 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('main', '0016_alter_user_usercode'), ] operations = [ migrations.AlterField( model_name='user', ...
25.2
141
0.640873
61
504
5.196721
0.655738
0.07571
0.088328
0.138801
0
0
0
0
0
0
0
0.049096
0.232143
504
19
142
26.526316
0.770026
0.089286
0
0
1
0
0.107221
0.052516
0
0
0
0
0
1
0
false
0
0.153846
0
0.384615
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
08613adf55222eb81cf9aea8d6ff94d2cf2ab660
105
py
Python
groups/views.py
AliAkberAakash/learn-in-groups
850601ddd5520c850ebec12003c8337670762948
[ "MIT" ]
null
null
null
groups/views.py
AliAkberAakash/learn-in-groups
850601ddd5520c850ebec12003c8337670762948
[ "MIT" ]
null
null
null
groups/views.py
AliAkberAakash/learn-in-groups
850601ddd5520c850ebec12003c8337670762948
[ "MIT" ]
null
null
null
from django.shortcuts import render def group_list(request): return render(request, 'group_list.html')
21
42
0.8
15
105
5.466667
0.733333
0.219512
0
0
0
0
0
0
0
0
0
0
0.104762
105
4
43
26.25
0.87234
0
0
0
0
0
0.142857
0
0
0
0
0
0
1
0.333333
false
0
0.333333
0.333333
1
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
1
1
0
0
0
6
086749fe086bfe8b53982e2dc76e87c1e91b6cc7
1,596
py
Python
code/p3.py
OscarFlores-IFi/CDINP19
7fb0cb6ff36b9a10bcfa0772b172c5e49996df48
[ "MIT" ]
null
null
null
code/p3.py
OscarFlores-IFi/CDINP19
7fb0cb6ff36b9a10bcfa0772b172c5e49996df48
[ "MIT" ]
null
null
null
code/p3.py
OscarFlores-IFi/CDINP19
7fb0cb6ff36b9a10bcfa0772b172c5e49996df48
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """ Created on Mon Feb 11 09:18:37 2019 @author: if715029 """ import pandas as pd import numpy as np import sklearn.metrics as skm import scipy.spatial.distance as sc #%% Leer datos data = pd.read_excel('../data/Test de películas(1-16).xlsx', encoding='latin_1') #%% Seleccionar datos (a mi e...
21.863014
80
0.697368
260
1,596
4.184615
0.419231
0.051471
0.012868
0.03125
0.095588
0.071691
0
0
0
0
0
0.051338
0.133459
1,596
72
81
22.166667
0.735358
0.308271
0
0.057143
0
0
0.046468
0
0
0
0
0
0
1
0
false
0
0.114286
0
0.114286
0.028571
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0867a27f2b0a9d65b0fbacf348d77dfbc3427264
1,187
py
Python
itao/utils/qt_logger.py
MaxChangInnodisk/itao
b0745eb48bf67718ef00db566c4cc19896d903a7
[ "MIT" ]
null
null
null
itao/utils/qt_logger.py
MaxChangInnodisk/itao
b0745eb48bf67718ef00db566c4cc19896d903a7
[ "MIT" ]
null
null
null
itao/utils/qt_logger.py
MaxChangInnodisk/itao
b0745eb48bf67718ef00db566c4cc19896d903a7
[ "MIT" ]
null
null
null
import logging class CustomLogger: def __init__(self): pass """ Create logger which name is 'dev' """ def create_logger(self, name='dev', log_file='itao.log', write_mode='w'): logger = logging.getLogger(name) # setup LEVEL logger.setLevel(logging.DEBUG) # setup...
34.911765
97
0.615838
134
1,187
5.298507
0.380597
0.067606
0.039437
0.047887
0.188732
0.188732
0.188732
0.188732
0.188732
0.188732
0
0.002299
0.26706
1,187
34
97
34.911765
0.813793
0.077506
0
0.095238
0
0
0.096993
0
0
0
0
0
0
1
0.142857
false
0.047619
0.047619
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
0867ca55ebc85e21b29f1ca39ad6e18f1d0c662a
99
py
Python
pypupil/serializer.py
choisuyeon/pypupil
3fdb1f29c6b28613b6b39094c01e61560214daff
[ "MIT" ]
9
2018-08-07T11:00:54.000Z
2021-02-13T04:36:05.000Z
pypupil/serializer.py
choisuyeon/pypupil
3fdb1f29c6b28613b6b39094c01e61560214daff
[ "MIT" ]
null
null
null
pypupil/serializer.py
choisuyeon/pypupil
3fdb1f29c6b28613b6b39094c01e61560214daff
[ "MIT" ]
1
2020-12-03T00:44:29.000Z
2020-12-03T00:44:29.000Z
class Serializer: """ send data serially """ def __init__(self): return
14.142857
27
0.525253
9
99
5.333333
1
0
0
0
0
0
0
0
0
0
0
0
0.373737
99
6
28
16.5
0.774194
0.181818
0
0
0
0
0
0
0
0
0
0
0
1
0.333333
false
0
0
0.333333
1
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
5
08687783aacc944c351fc37618c9c87ef69b3d6b
2,296
py
Python
scripts/ndvi_diff.py
hkfrei/pythonRemoteSensing
c8681d859313ee5ad01e5b9753f8c43462268624
[ "MIT" ]
1
2019-12-18T21:54:22.000Z
2019-12-18T21:54:22.000Z
scripts/ndvi_diff.py
hkfrei/pythonRemoteSensing
c8681d859313ee5ad01e5b9753f8c43462268624
[ "MIT" ]
null
null
null
scripts/ndvi_diff.py
hkfrei/pythonRemoteSensing
c8681d859313ee5ad01e5b9753f8c43462268624
[ "MIT" ]
1
2020-07-01T16:44:21.000Z
2020-07-01T16:44:21.000Z
import numpy import rasterio import gdal print('all modules imported') # path to the folder with the ndvi rasters base_path = "/Users/hk/Downloads/gaga/" # shapefile with forest mask forest_mask = base_path + "waldmaske_wgs84.shp" # initialize the necessary rasters for the ndvi calculation. ndvi_2017 = rasterio.open...
41.745455
120
0.726916
339
2,296
4.731563
0.351032
0.069825
0.037406
0.049875
0.354738
0.308603
0.218204
0.143392
0.143392
0.143392
0
0.058547
0.166812
2,296
54
121
42.518519
0.779927
0.275261
0
0
0
0
0.153613
0.04068
0
0
0
0
0
1
0
false
0
0.125
0
0.125
0.28125
0
0
0
null
0
0
0
0
0
0
0
0
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
08691612fc229c4b74017cbf49ecddb0965a12ea
462
py
Python
helga_umb/signals/util.py
ktdreyer/helga-umb
f0c6858745d90205e74eec0eb5ebaafa655b2336
[ "MIT" ]
null
null
null
helga_umb/signals/util.py
ktdreyer/helga-umb
f0c6858745d90205e74eec0eb5ebaafa655b2336
[ "MIT" ]
2
2018-04-27T15:37:10.000Z
2018-08-22T21:00:40.000Z
helga_umb/signals/util.py
ktdreyer/helga-umb
f0c6858745d90205e74eec0eb5ebaafa655b2336
[ "MIT" ]
null
null
null
def product_from_branch(branch): """ Return a product name from this branch name. :param branch: eg. "ceph-3.0-rhel-7" :returns: eg. "ceph" """ if branch.startswith('private-'): # Let's just return the thing after "private-" and hope there's a # product string match somewhere in...
30.8
73
0.621212
64
462
4.453125
0.671875
0.05614
0
0
0
0
0
0
0
0
0
0.017442
0.255411
462
14
74
33
0.811047
0.558442
0
0
0
0
0.050562
0
0
0
0
0
0
1
0.2
false
0
0
0
0.6
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
1
08698150dd4c0d31ae984574dc2eb2d108201474
752
py
Python
work/2021/ne201076/src/cpu_notify.py
tora01/SkillLab
61ebfaf45c503b9e6f4a3d05a7edd4de2fcad93e
[ "CC0-1.0" ]
2
2020-09-09T02:40:23.000Z
2021-09-12T18:08:15.000Z
work/2021/ne201076/src/cpu_notify.py
tora01/SkillLab
61ebfaf45c503b9e6f4a3d05a7edd4de2fcad93e
[ "CC0-1.0" ]
1
2021-09-14T09:36:38.000Z
2021-09-14T09:36:38.000Z
work/2021/ne201076/src/cpu_notify.py
tora01/SkillLab
61ebfaf45c503b9e6f4a3d05a7edd4de2fcad93e
[ "CC0-1.0" ]
19
2021-09-07T06:11:29.000Z
2021-09-07T07:45:08.000Z
import requests url = 'https://notify-api.line.me/api/notify'#LINE NotifyのAPIのURL token = '2RNdAKwlaj69HK0KlEdMX1y575gDWNKrPpggFcLnh82' #自分のアクセストークン ms = "新たなソフトを開くと負担が過剰にかかってしまいます。"#送信する通知内容 def line(message,url,token): post_data = {'message': message} headers = {'Authorization': 'Bearer ' + token} #送信する...
31.333333
73
0.670213
78
752
6.384615
0.615385
0.032129
0
0
0
0
0
0
0
0
0
0.025338
0.212766
752
23
74
32.695652
0.815878
0.136968
0
0
0
0
0.23869
0.107644
0
0
0
0
0
0
null
null
0
0.052632
null
null
0.157895
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
1
0869ba6e18dfa77decb88cf8144acde0c451215e
49
py
Python
src/titiler/application/titiler/application/__init__.py
kalxas/titiler
5e4e497f1033eb64b65315068c094abe8259cd8c
[ "MIT" ]
null
null
null
src/titiler/application/titiler/application/__init__.py
kalxas/titiler
5e4e497f1033eb64b65315068c094abe8259cd8c
[ "MIT" ]
null
null
null
src/titiler/application/titiler/application/__init__.py
kalxas/titiler
5e4e497f1033eb64b65315068c094abe8259cd8c
[ "MIT" ]
null
null
null
"""titiler.application""" __version__ = "0.6.0"
12.25
25
0.653061
6
49
4.666667
0.833333
0
0
0
0
0
0
0
0
0
0
0.068182
0.102041
49
3
26
16.333333
0.568182
0.387755
0
0
0
0
0.208333
0
0
0
0
0
0
1
0
false
0
0
0
0
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
3
0869cc3c4f8fe0eb7c864da5eb1b5caf6b676944
550
py
Python
testScripts/getAllFiles.py
ryanemerson/JGroups-HiTab
8fd8c6c45219e4c04618630be7e2449ebb0578dc
[ "Apache-2.0" ]
null
null
null
testScripts/getAllFiles.py
ryanemerson/JGroups-HiTab
8fd8c6c45219e4c04618630be7e2449ebb0578dc
[ "Apache-2.0" ]
null
null
null
testScripts/getAllFiles.py
ryanemerson/JGroups-HiTab
8fd8c6c45219e4c04618630be7e2449ebb0578dc
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python import os from collections import defaultdict hosts = {'mill001', 'mill004', 'mill005'} user = 'a7109534' file_location = '/work/a7109534/' #file_location = '/home/ryan/workspace/JGroups' #file_location = '/home/pg/p11/a7109534/' file_wildcard = '*' extension = ".csv" get_file = file_location + f...
26.190476
77
0.681818
68
550
5.367647
0.602941
0.131507
0.109589
0
0
0
0
0
0
0
0
0.073593
0.16
550
20
78
27.5
0.71645
0.192727
0
0
0
0
0.138322
0
0
0
0
0
0
0
null
null
0
0.133333
null
null
0.066667
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
1
0869fc3b1af3273cc468fc0da2d162910f894bff
3,610
py
Python
studio/model.py
NunoEdgarGFlowHub/studio
42b221892a81535842ff25cbbcc434d6422a19e5
[ "Apache-2.0" ]
null
null
null
studio/model.py
NunoEdgarGFlowHub/studio
42b221892a81535842ff25cbbcc434d6422a19e5
[ "Apache-2.0" ]
null
null
null
studio/model.py
NunoEdgarGFlowHub/studio
42b221892a81535842ff25cbbcc434d6422a19e5
[ "Apache-2.0" ]
null
null
null
"""Data providers.""" import os try: # try-except statement needed because # pip module is not available in google app engine import pip except ImportError: pip = None import yaml import six from .artifact_store import get_artifact_store from .http_provider import HTTPProvider from .firebase_provider...
28.88
77
0.591967
396
3,610
5.217172
0.277778
0.058083
0.029042
0.046467
0.188771
0.135528
0.135528
0.135528
0.093901
0.061955
0
0.005645
0.313019
3,610
124
78
29.112903
0.827419
0.027978
0
0.145833
0
0
0.082524
0.006568
0
0
0
0
0.010417
1
0.041667
false
0
0.114583
0
0.25
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
086a788b83deae56a16772a629310d3b84a228a0
570
py
Python
Server/server/model_inference/predictor.py
thaiminhpv/Doctor-Cyclop-Hackathon-2021
afb943f7d00ceccb408c895077517ddd06d87fd7
[ "MIT" ]
6
2021-04-30T05:28:04.000Z
2022-03-21T14:50:43.000Z
Server/server/model_inference/predictor.py
thaiminhpv/Doctor-Cyclop-Hackathon-2021
afb943f7d00ceccb408c895077517ddd06d87fd7
[ "MIT" ]
null
null
null
Server/server/model_inference/predictor.py
thaiminhpv/Doctor-Cyclop-Hackathon-2021
afb943f7d00ceccb408c895077517ddd06d87fd7
[ "MIT" ]
1
2022-01-10T14:58:02.000Z
2022-01-10T14:58:02.000Z
import numpy as np import pandas as pd from server.model_inference.config import labels from server.model_inference.core_model import get_model_prediction from server.util.prediction_to_json import pandas_to_json def get_predictions(images): ids = list(images.keys()) out = np.hstack((np.asarray(ids)[np.newax...
31.666667
90
0.764912
84
570
4.952381
0.452381
0.072115
0.072115
0.115385
0
0
0
0
0
0
0
0
0.12807
570
17
91
33.529412
0.837022
0
0
0
0
0
0.02807
0
0
0
0
0
0
1
0.083333
false
0
0.416667
0
0.583333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
1
0
0
2
086b6939a15a14e2ba2c7a9bf78818444b385782
7,310
py
Python
extendPlugins/minecraft.py
f88af65a/XyzB0ts
21a557288877b24f337f16002d8bb72b155f2551
[ "MIT" ]
4
2021-10-17T11:54:07.000Z
2022-03-18T13:10:11.000Z
extendPlugins/minecraft.py
f88af65a/XyzB0ts
21a557288877b24f337f16002d8bb72b155f2551
[ "MIT" ]
null
null
null
extendPlugins/minecraft.py
f88af65a/XyzB0ts
21a557288877b24f337f16002d8bb72b155f2551
[ "MIT" ]
1
2021-10-16T09:51:25.000Z
2021-10-16T09:51:25.000Z
import asyncio import json import socket import time from botsdk.util.BotPlugin import BotPlugin from botsdk.util.Error import printTraceBack def getMcRequestData(ip, port): data = (b"\x00\xff\xff\xff\xff\x0f" + bytes([len(ip.encode("utf8"))]) + ip.encode("utf8") + int.to_byte...
36.733668
79
0.477291
687
7,310
5.056769
0.232897
0.072539
0.079447
0.046632
0.48129
0.467473
0.423719
0.415947
0.415947
0.39407
0
0.037037
0.409029
7,310
198
80
36.919192
0.76713
0.008071
0
0.466292
0
0
0.097742
0.027808
0
0
0
0
0
1
0.022472
false
0
0.033708
0.005618
0.134831
0.078652
0
0
0
null
0
0
0
0
0
0
0
0
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