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
2b12f3629401ad872cdd3dca5b9f368a29efe45c
222
py
Python
django_dapp/serializers.py
phonkee/django-desktopapp
bd89434470c9d80074e8911d24059f962934c52a
[ "MIT" ]
null
null
null
django_dapp/serializers.py
phonkee/django-desktopapp
bd89434470c9d80074e8911d24059f962934c52a
[ "MIT" ]
null
null
null
django_dapp/serializers.py
phonkee/django-desktopapp
bd89434470c9d80074e8911d24059f962934c52a
[ "MIT" ]
null
null
null
from rest_framework import serializers from .models import Release class ReleaseSerializer(serializers.ModelSerializer): class Meta: model = Release fields = ('version', 'release_notes', 'checksum')
22.2
57
0.725225
22
222
7.227273
0.727273
0
0
0
0
0
0
0
0
0
0
0
0.193694
222
9
58
24.666667
0.888268
0
0
0
0
0
0.126126
0
0
0
0
0
0
1
0
false
0
0.333333
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
0
0
1
0
0
0
0
3
2b1ef78f66442d8dc660d5d2714f8d96338d95ef
793
py
Python
testing/utilities/client.py
boidolr/git-code-debt
63b153571ca7a172f9a2d68732215ea4f72702c8
[ "MIT" ]
213
2017-05-27T10:49:05.000Z
2022-03-30T14:57:07.000Z
testing/utilities/client.py
boidolr/git-code-debt
63b153571ca7a172f9a2d68732215ea4f72702c8
[ "MIT" ]
22
2017-08-15T02:15:11.000Z
2021-06-28T09:04:39.000Z
testing/utilities/client.py
Smirenost/git-code-debt
b31fd5332c58964782a7c0e4e8abf27d2163a611
[ "MIT" ]
17
2017-05-29T06:17:58.000Z
2022-03-17T11:55:45.000Z
import json from typing import TYPE_CHECKING import flask.testing import pyquery class Response: """A Response wraps a response from a testing Client.""" def __init__(self, response): self.response = response @property def text(self): return self.response.data.decode(self.response.c...
20.868421
74
0.680958
99
793
5.393939
0.40404
0.089888
0.082397
0.123596
0
0
0
0
0
0
0
0
0.216898
793
37
75
21.432432
0.859903
0.145019
0
0.130435
0
0
0
0
0
0
0
0
0
1
0.217391
false
0
0.173913
0.173913
0.652174
0
0
0
0
null
0
0
0
0
0
0
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
1
1
0
0
3
2b2c9ca5d08ef4a436eeb72deb567609be45e3e7
590
py
Python
scripts/python/misc/imports.py
ScottLongmore/MIRS_TC
51c3964b8192f71716f075fbe3fd2ffbdb656fb5
[ "BSD-3-Clause" ]
1
2020-04-03T05:26:32.000Z
2020-04-03T05:26:32.000Z
scripts/python/misc/imports.py
ScottLongmore/MIRS_TC
51c3964b8192f71716f075fbe3fd2ffbdb656fb5
[ "BSD-3-Clause" ]
null
null
null
scripts/python/misc/imports.py
ScottLongmore/MIRS_TC
51c3964b8192f71716f075fbe3fd2ffbdb656fb5
[ "BSD-3-Clause" ]
null
null
null
import os import sys import re import shutil import copy import glob import datetime import operator import collections from itertools import izip import math import imp #import importlib import subprocess import tarfile import StringIO import pickle import gzip import optparse import ConfigParser import json impor...
14.047619
41
0.840678
81
590
6.098765
0.530864
0.097166
0
0
0
0
0
0
0
0
0
0.005941
0.144068
590
41
42
14.390244
0.972277
0.230508
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
3
2b331ccd8b969f3162012f784d6b59e92e7100b7
106
py
Python
brandeis_classes/__init__.py
9999years/brandeis-classes
e43d0227bafb4562d533565f3e94cd799ce636b8
[ "MIT" ]
null
null
null
brandeis_classes/__init__.py
9999years/brandeis-classes
e43d0227bafb4562d533565f3e94cd799ce636b8
[ "MIT" ]
null
null
null
brandeis_classes/__init__.py
9999years/brandeis-classes
e43d0227bafb4562d533565f3e94cd799ce636b8
[ "MIT" ]
null
null
null
"""Scrapes Brandeis University course data. """ from . import brandeis, constants __version__ = "1.0.0"
15.142857
43
0.716981
13
106
5.538462
0.846154
0
0
0
0
0
0
0
0
0
0
0.033333
0.150943
106
6
44
17.666667
0.766667
0.377358
0
0
0
0
0.084746
0
0
0
0
0
0
1
0
false
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
0
0
1
0
0
0
0
3
2b3ad5e9328c32887674f7a40dd5687665fd82c7
394
py
Python
ComRISB/pyglib/pyglib/estructure/test/test_kpath.py
comscope/comsuite
d51c43cad0d15dc3b4d1f45e7df777cdddaa9d6c
[ "BSD-3-Clause" ]
18
2019-06-15T18:08:21.000Z
2022-01-30T05:01:29.000Z
ComRISB/pyglib/pyglib/estructure/test/test_kpath.py
comscope/Comsuite
b80ca9f34c519757d337487c489fb655f7598cc2
[ "BSD-3-Clause" ]
null
null
null
ComRISB/pyglib/pyglib/estructure/test/test_kpath.py
comscope/Comsuite
b80ca9f34c519757d337487c489fb655f7598cc2
[ "BSD-3-Clause" ]
11
2019-06-05T02:57:55.000Z
2021-12-29T02:54:25.000Z
from __future__ import print_function import numpy from pyglib.estructure.gwannier import get_symkpath kpath = get_symkpath() print("lattice") print(kpath._structure.lattice.matrix) print(kpath._prim.lattice.matrix) print("reciprocal lattice") print(kpath._structure.lattice.reciprocal_lattice.matrix) print(kpath._pr...
23.176471
57
0.827411
52
394
6
0.365385
0.160256
0.230769
0.166667
0.528846
0.217949
0
0
0
0
0
0
0.06599
394
16
58
24.625
0.847826
0
0
0
0
0
0.07868
0
0
0
0
0
0
1
0
false
0
0.25
0
0.25
0.75
0
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
3
2b4d185ba85be9654b430893d1fc39a7d86da158
359
py
Python
kedro/extras/datasets/tracking/__init__.py
daniel-falk/kedro
19187199339ddc4a757aaaa328f319ec4c1e452a
[ "Apache-2.0" ]
2,047
2022-01-10T15:22:12.000Z
2022-03-31T13:38:56.000Z
kedro/extras/datasets/tracking/__init__.py
daniel-falk/kedro
19187199339ddc4a757aaaa328f319ec4c1e452a
[ "Apache-2.0" ]
170
2022-01-10T12:44:31.000Z
2022-03-31T17:01:24.000Z
kedro/extras/datasets/tracking/__init__.py
daniel-falk/kedro
19187199339ddc4a757aaaa328f319ec4c1e452a
[ "Apache-2.0" ]
112
2022-01-10T19:15:24.000Z
2022-03-30T11:20:52.000Z
"""Dataset implementations to save data for Kedro Experiment Tracking""" __all__ = ["MetricsDataSet", "JSONDataSet"] from contextlib import suppress with suppress(ImportError): from kedro.extras.datasets.tracking.metrics_dataset import MetricsDataSet with suppress(ImportError): from kedro.extras.datasets.tr...
29.916667
77
0.807799
40
359
7.1
0.55
0.084507
0.161972
0.190141
0.380282
0.380282
0.380282
0.380282
0
0
0
0
0.114206
359
11
78
32.636364
0.893082
0.183844
0
0.333333
0
0
0.087108
0
0
0
0
0
0
1
0
false
0
0.833333
0
0.833333
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
1
0
0
3
2b4f933ade3f1a0a5e05e53be02f4770686eec16
308
py
Python
Executor/Tasks/Run/dummy.py
EVOLVED-5G/ELCM
07d07a114b667e8c6915ee3ef125dd4864dd2247
[ "Apache-2.0" ]
1
2020-04-16T17:07:46.000Z
2020-04-16T17:07:46.000Z
Executor/Tasks/Run/dummy.py
EVOLVED-5G/ELCM
07d07a114b667e8c6915ee3ef125dd4864dd2247
[ "Apache-2.0" ]
3
2020-03-06T11:22:09.000Z
2020-03-06T11:22:10.000Z
Executor/Tasks/Run/dummy.py
EVOLVED-5G/ELCM
07d07a114b667e8c6915ee3ef125dd4864dd2247
[ "Apache-2.0" ]
1
2022-02-01T07:56:44.000Z
2022-02-01T07:56:44.000Z
from Task import Task from Helper import Level from time import sleep class Dummy(Task): def __init__(self, logMethod, parent, params): super().__init__("Dummy", parent, params, logMethod, None) def Run(self): self.Log(Level.INFO, f'Running Dummy task with params: {self.params}')
25.666667
78
0.694805
43
308
4.790698
0.534884
0.087379
0
0
0
0
0
0
0
0
0
0
0.194805
308
11
79
28
0.830645
0
0
0
0
0
0.162338
0
0
0
0
0
0
1
0.25
false
0
0.375
0
0.75
0
0
0
0
null
0
0
0
0
0
0
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
1
0
1
0
0
3
2b625b290fbf9f683ffa6827d4ea9f7e7d41b210
275
py
Python
mathThinkingInCoSci/queens02_backtracking.py
raydot/coursera
2d9a8ae76c06e082bdc11bf288e8c202c1e45d9c
[ "Unlicense" ]
null
null
null
mathThinkingInCoSci/queens02_backtracking.py
raydot/coursera
2d9a8ae76c06e082bdc11bf288e8c202c1e45d9c
[ "Unlicense" ]
7
2020-04-13T01:46:37.000Z
2022-01-05T20:24:50.000Z
mathThinkingInCoSci/queens02_backtracking.py
raydot/coursera
2d9a8ae76c06e082bdc11bf288e8c202c1e45d9c
[ "Unlicense" ]
null
null
null
def generate_permutations(perm, n): if len(perm) == n: print(perm) return for k in range(n): if k not in perm: perm.append(k) generate_permutations(perm, n) perm.pop() generate_permutations(perm=[], n=4)
19.642857
42
0.541818
36
275
4.055556
0.472222
0.136986
0.493151
0.513699
0
0
0
0
0
0
0
0.005556
0.345455
275
13
43
21.153846
0.805556
0
0
0
1
0
0
0
0
0
0
0
0
1
0.1
false
0
0
0
0.2
0.1
0
0
0
null
0
1
1
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
3
2b70c49d2a7669be6d3f10230ca992e457e509c9
624
py
Python
test/runner.py
JLLeitschuh/JiraTestResultReporter
207f8c0be769d02469f6a7d64bedf59080dc1bea
[ "MIT" ]
2
2019-03-26T03:32:09.000Z
2021-08-16T16:03:44.000Z
test/runner.py
JLLeitschuh/JiraTestResultReporter
207f8c0be769d02469f6a7d64bedf59080dc1bea
[ "MIT" ]
4
2015-06-30T05:36:45.000Z
2020-04-20T15:29:30.000Z
test/runner.py
JLLeitschuh/JiraTestResultReporter
207f8c0be769d02469f6a7d64bedf59080dc1bea
[ "MIT" ]
3
2016-08-23T12:53:52.000Z
2020-02-11T06:13:14.000Z
#!/usr/bin/python import sys, unittest, xmlrunner from SeleniumTest import SeleniumTest import testLogin, testConfigSyntaxChecks, testConfigChanges, testPluginLinks if __name__ == '__main__': suite = unittest.TestLoader().loadTestsFromModule(testLogin) suite.addTests(unittest.TestLoader().loadTestsFromModule(...
41.6
85
0.802885
55
624
8.963636
0.509091
0.146045
0.300203
0.188641
0.30426
0
0
0
0
0
0
0.001761
0.089744
624
14
86
44.571429
0.866197
0.112179
0
0
0
0
0.036232
0
0
0
0
0
0
1
0
false
0
0.333333
0
0.333333
0
0
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
3
991287d9cb504a003155ca828430c40f5035c979
58
py
Python
febonaci.py
sanxy/hacktoberfest-1
913582b310688d496602e8b1bc9166cb64866e38
[ "MIT" ]
null
null
null
febonaci.py
sanxy/hacktoberfest-1
913582b310688d496602e8b1bc9166cb64866e38
[ "MIT" ]
null
null
null
febonaci.py
sanxy/hacktoberfest-1
913582b310688d496602e8b1bc9166cb64866e38
[ "MIT" ]
1
2020-09-30T18:53:05.000Z
2020-09-30T18:53:05.000Z
a=0 b=1 while a<10: print(a) a,b=b,a+b
8.285714
14
0.396552
14
58
1.642857
0.5
0.173913
0
0
0
0
0
0
0
0
0
0.121212
0.431034
58
6
15
9.666667
0.575758
0
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0
0
0
0.2
1
0
1
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
9916d4604fa1e456afe4295e8494d0aecae32d21
31,450
py
Python
test.py
rayanf/AI-play-snake
257d23c6c4140cf93f393f9fcc96b378ca80a9da
[ "MIT" ]
4
2021-09-07T16:09:57.000Z
2021-11-18T11:00:41.000Z
test.py
rayanf/AI-play-snake
257d23c6c4140cf93f393f9fcc96b378ca80a9da
[ "MIT" ]
null
null
null
test.py
rayanf/AI-play-snake
257d23c6c4140cf93f393f9fcc96b378ca80a9da
[ "MIT" ]
1
2021-11-21T17:36:34.000Z
2021-11-21T17:36:34.000Z
from game import snake_game from game import Tail import pygame import networkx as nx edges = [(1010, 3010), (3010, 5010), (5010, 7010), (7010, 9010), (9010, 11010), (11010, 13010), (13010, 15010), (15010, 17010), (17010, 19010), (19010, 21010), (21010, 23010), (23010, 25010), (25010, 27010), (27010, 29010), (29010, ...
324.226804
520
0.642862
3,588
31,450
5.630435
0.261984
0.00401
0.003465
0.00495
0.006831
0.006831
0.002772
0
0
0
0
0.724596
0.131669
31,450
96
521
327.604167
0.01516
0.016025
0
0
0
0
0.000259
0
0
0
0
0
0
1
0
false
0.015152
0.060606
0
0.060606
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
1
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
3
99252a3b84247a6adcf4e46ec82782312956f53b
973
py
Python
engine/backends/AbstractBackend.py
gabrii/TrendsEngine
afe141704421aaac999cda8c3292fb418fb86cfa
[ "MIT" ]
null
null
null
engine/backends/AbstractBackend.py
gabrii/TrendsEngine
afe141704421aaac999cda8c3292fb418fb86cfa
[ "MIT" ]
null
null
null
engine/backends/AbstractBackend.py
gabrii/TrendsEngine
afe141704421aaac999cda8c3292fb418fb86cfa
[ "MIT" ]
null
null
null
import abc from collections import Counter from typing import Union, Iterable, Dict class AbstractBackend(abc.ABC): @abc.abstractmethod def incr(self, key: str, value: Union[int, None] = 1) -> Union[int, None]: """Increments a given key by a value. If it doesn't exist, start at 0. The fin...
29.484848
90
0.612539
136
973
4.367647
0.433824
0.030303
0.06734
0
0
0
0
0
0
0
0
0.004298
0.282631
973
32
91
30.40625
0.846705
0.316547
0
0.25
0
0
0
0
0
0
0
0
0
1
0.25
false
0.125
0.1875
0.0625
0.5625
0
0
0
0
null
0
0
0
0
0
0
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
992765b1e22d4787821c6fd173522aea8be0c7e3
441
py
Python
xicsrt/optics/_XicsrtOpticPlanarMirror.py
PrincetonUniversity/xicsrt
15dfe5e3cd8ac6a326e8f0e502c8b739bd09d3fd
[ "MIT" ]
1
2021-07-21T17:07:31.000Z
2021-07-21T17:07:31.000Z
xicsrt/optics/_XicsrtOpticPlanarMirror.py
PrincetonUniversity/xicsrt
15dfe5e3cd8ac6a326e8f0e502c8b739bd09d3fd
[ "MIT" ]
null
null
null
xicsrt/optics/_XicsrtOpticPlanarMirror.py
PrincetonUniversity/xicsrt
15dfe5e3cd8ac6a326e8f0e502c8b739bd09d3fd
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """ .. Authors: Novimir Pablant <npablant@pppl.gov> Define the :class:`XicsrtOpticPlanarMirror` class. """ import numpy as np from xicsrt.tools.xicsrt_doc import dochelper from xicsrt.optics._InteractMirror import InteractMirror from xicsrt.optics._ShapePlane import ShapePlane @dochelper...
20.045455
58
0.741497
48
441
6.75
0.645833
0.092593
0.098765
0
0
0
0
0
0
0
0
0.002688
0.156463
441
21
59
21
0.86828
0.356009
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0.142857
0.571429
0
0.714286
0
0
0
0
null
0
0
0
0
0
0
0
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
1
1
0
0
0
0
3
992c4a8bef4f323b55048b502906e78697d12be4
3,022
py
Python
ihub/utils/random_supports.py
iqDF/ihub-duty-app
1ba73037d3c995cae4389cd790bdbb0b11a4313d
[ "MIT" ]
1
2019-06-10T04:55:38.000Z
2019-06-10T04:55:38.000Z
ihub/utils/random_supports.py
iqDF/ihub-duty-app
1ba73037d3c995cae4389cd790bdbb0b11a4313d
[ "MIT" ]
1
2019-06-12T02:36:34.000Z
2019-06-12T02:36:34.000Z
ihub/utils/random_supports.py
iqDF/ihub-duty-app
1ba73037d3c995cae4389cd790bdbb0b11a4313d
[ "MIT" ]
null
null
null
import random import string from random import randint class RandomSupport(object): """Simple random data helpers. """ @classmethod def generate_number(cls): """Generate a random number. Returns: int: the number """ return randint(0, 99999999999999) @classmethod def generate_number_between(cls, min...
21.585714
96
0.696559
397
3,022
5.206549
0.24937
0.074504
0.117078
0.034833
0.500242
0.500242
0.391388
0.32656
0.32656
0.32656
0
0.027721
0.188286
3,022
140
97
21.585714
0.814921
0.466909
0
0.387755
1
0
0.029672
0
0
0
0
0
0
1
0.22449
false
0
0.061224
0
0.571429
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
3
993f6465a91d1d7f1b8a5ae48bb18e69869368f0
470
py
Python
interactivity/commands/factories.py
danpoland/slacktools-interactivity
d9f28652cf5aa18e90468a5d22487fa261c2e117
[ "MIT" ]
null
null
null
interactivity/commands/factories.py
danpoland/slacktools-interactivity
d9f28652cf5aa18e90468a5d22487fa261c2e117
[ "MIT" ]
2
2020-03-31T11:28:08.000Z
2021-02-02T22:53:59.000Z
interactivity/commands/factories.py
danpoland/slacktools-interactivity
d9f28652cf5aa18e90468a5d22487fa261c2e117
[ "MIT" ]
null
null
null
from typing import Union from interactivity.generics import HandlerFactory, Payload from .handlers import ActionCommandHandler, CommandHandler __all__ = ("CommandFactory",) HandlerT = Union[CommandHandler, ActionCommandHandler] class CommandFactory(HandlerFactory[HandlerT]): """Factory that initializes a `Co...
24.736842
86
0.77234
46
470
7.782609
0.673913
0
0
0
0
0
0
0
0
0
0
0
0.148936
470
18
87
26.111111
0.895
0.161702
0
0
0
0
0.036082
0
0
0
0
0
0
1
0.111111
false
0
0.333333
0.111111
0.666667
0
0
0
0
null
0
0
0
0
0
0
0
0
0
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
1
1
0
0
3
995208ee7c67d74667b532aea121a1711fdf98dc
9,913
py
Python
source/device_manager/scheduler.py
ElsevierSoftwareX/SOFTX-D-21-00051
7ae5ad60971129286e2ee452a797c26810a9cb0f
[ "MIT" ]
null
null
null
source/device_manager/scheduler.py
ElsevierSoftwareX/SOFTX-D-21-00051
7ae5ad60971129286e2ee452a797c26810a9cb0f
[ "MIT" ]
null
null
null
source/device_manager/scheduler.py
ElsevierSoftwareX/SOFTX-D-21-00051
7ae5ad60971129286e2ee452a797c26810a9cb0f
[ "MIT" ]
null
null
null
from dataclasses import dataclass from typing import List, Optional from datetime import datetime from uuid import UUID from source.device_manager.database import get_database_connection, release_database_connection import psycopg2 @dataclass class BookingInfo: id: int name: str start: int end: int ...
37.549242
130
0.573792
1,150
9,913
4.837391
0.086087
0.071185
0.0302
0.034514
0.775661
0.75355
0.728564
0.639044
0.615855
0.615855
0
0.009037
0.307879
9,913
263
131
37.692015
0.801778
0
0
0.611872
0
0.009132
0.25053
0.113078
0
0
0
0
0
1
0.063927
false
0
0.027397
0
0.251142
0
0
0
0
null
0
0
0
0
1
1
0
0
1
0
0
0
0
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
3
995db7a4fae3e62440655183868de6f310ae5d63
1,542
py
Python
poli/python/poli/policies.py
Humhu/percepto
4a45cce7dd294a8ce0b962bb68cae5c2b48c3b7f
[ "AFL-3.0" ]
1
2021-06-15T09:34:24.000Z
2021-06-15T09:34:24.000Z
poli/python/poli/policies.py
Humhu/percepto
4a45cce7dd294a8ce0b962bb68cae5c2b48c3b7f
[ "AFL-3.0" ]
null
null
null
poli/python/poli/policies.py
Humhu/percepto
4a45cce7dd294a8ce0b962bb68cae5c2b48c3b7f
[ "AFL-3.0" ]
null
null
null
"""This module contains common stochastic policy classes. """ import abc import math class StochasticPolicy(object): """Base class for all stochastic policies. """ __metaclass__ = abc.ABCMeta def __init__(self, indim, outdim): self._input_dim = indim self._output_dim = outdim @abc...
23.363636
81
0.59144
177
1,542
5.033898
0.384181
0.056117
0.06734
0.077441
0.296296
0.089787
0.089787
0.089787
0
0
0
0
0.305447
1,542
65
82
23.723077
0.831933
0.351492
0
0.310345
0
0
0.03337
0
0
0
0
0.015385
0
1
0.310345
false
0
0.068966
0.068966
0.689655
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
1
0
0
1
0
0
0
0
1
0
0
3
996ad7a6611e88d70d7d8448386c7ad68b38c4be
83
py
Python
bit/__init__.py
DimitrisJim/BIT
bab9e8a8037ac9c25d9b2782a13a561b69dd90ce
[ "Unlicense" ]
null
null
null
bit/__init__.py
DimitrisJim/BIT
bab9e8a8037ac9c25d9b2782a13a561b69dd90ce
[ "Unlicense" ]
null
null
null
bit/__init__.py
DimitrisJim/BIT
bab9e8a8037ac9c25d9b2782a13a561b69dd90ce
[ "Unlicense" ]
null
null
null
""" Init file, export relevant names. """ from .bit import BIT __all__ = ['BIT']
13.833333
41
0.638554
11
83
4.454545
0.818182
0
0
0
0
0
0
0
0
0
0
0
0.192771
83
5
42
16.6
0.731343
0.39759
0
0
0
0
0.071429
0
0
0
0
0
0
1
0
false
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
0
0
1
0
0
0
0
3
9986d593663467abe676ab11576537c2532260dd
179
py
Python
backend/volunteers_notifications/apps.py
patrick91/pycon
9d7e15f540adcf0eaceb61fdbf67206d6aef73ec
[ "MIT" ]
2
2017-07-18T21:51:25.000Z
2017-12-23T11:08:39.000Z
backend/volunteers_notifications/apps.py
patrick91/pycon
9d7e15f540adcf0eaceb61fdbf67206d6aef73ec
[ "MIT" ]
23
2017-07-18T20:22:38.000Z
2018-01-05T05:45:15.000Z
backend/volunteers_notifications/apps.py
patrick91/pycon
9d7e15f540adcf0eaceb61fdbf67206d6aef73ec
[ "MIT" ]
2
2017-07-18T21:27:33.000Z
2017-07-18T22:07:03.000Z
from django.apps import AppConfig class VolunteersNotificationsConfig(AppConfig): default_auto_field = "django.db.models.BigAutoField" name = "volunteers_notifications"
25.571429
56
0.804469
18
179
7.833333
0.888889
0
0
0
0
0
0
0
0
0
0
0
0.122905
179
6
57
29.833333
0.898089
0
0
0
0
0
0.296089
0.296089
0
0
0
0
0
1
0
false
0
0.25
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
0
0
0
0
1
0
0
3
998f95bcf399b87bafe2f631c5ad4d529da33fec
1,292
py
Python
django_loose_fk/query_list.py
maykinmedia/django-loose-fk
bbd37f789bd459d9a7eb661ffb0597d84567c1ab
[ "MIT" ]
3
2021-03-17T12:37:36.000Z
2021-03-17T21:49:11.000Z
django_loose_fk/query_list.py
maykinmedia/django-loose-fk
bbd37f789bd459d9a7eb661ffb0597d84567c1ab
[ "MIT" ]
21
2019-08-07T11:04:53.000Z
2022-03-10T21:46:24.000Z
django_loose_fk/query_list.py
maykinmedia/django-loose-fk
bbd37f789bd459d9a7eb661ffb0597d84567c1ab
[ "MIT" ]
1
2019-10-28T11:23:06.000Z
2019-10-28T11:23:06.000Z
from typing import Any from django.core.exceptions import ValidationError from django.core.validators import URLValidator def is_url(value: Any) -> bool: if not isinstance(value, str): return False validator = URLValidator(schemes=["http", "https"]) try: validator(value) except Valid...
23.071429
72
0.632353
159
1,292
4.993711
0.415094
0.124685
0.04534
0.037783
0.138539
0.138539
0
0
0
0
0
0.003175
0.268576
1,292
55
73
23.490909
0.837037
0.030186
0
0.108108
0
0
0.052758
0.019984
0
0
0
0
0.027027
1
0.297297
false
0
0.081081
0.135135
0.702703
0
0
0
0
null
0
0
0
0
0
0
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
1
1
0
0
3
5125e8a5f41e126df19ef975a4599c8610ff1f3b
105
py
Python
scripts/quest/q5519e.py
G00dBye/YYMS
1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb
[ "MIT" ]
54
2019-04-16T23:24:48.000Z
2021-12-18T11:41:50.000Z
scripts/quest/q5519e.py
G00dBye/YYMS
1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb
[ "MIT" ]
3
2019-05-19T15:19:41.000Z
2020-04-27T16:29:16.000Z
scripts/quest/q5519e.py
G00dBye/YYMS
1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb
[ "MIT" ]
49
2020-11-25T23:29:16.000Z
2022-03-26T16:20:24.000Z
# Tot's reward lv 20 sm.completeQuest(5519) # Lv. 20 Equipment box sm.giveItem(2431876, 1) sm.dispose()
15
23
0.72381
18
105
4.222222
0.777778
0.105263
0
0
0
0
0
0
0
0
0
0.177778
0.142857
105
6
24
17.5
0.666667
0.371429
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0
0
0
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
0
0
0
0
0
3
51367ab48bf20c0766dc523d2098368f584c112e
279
py
Python
weather.py
bmarkowitz/weather-api-cli
ce6d9a57615ffe29db1b4fc41ea2f7ba16c40c3c
[ "MIT" ]
null
null
null
weather.py
bmarkowitz/weather-api-cli
ce6d9a57615ffe29db1b4fc41ea2f7ba16c40c3c
[ "MIT" ]
null
null
null
weather.py
bmarkowitz/weather-api-cli
ce6d9a57615ffe29db1b4fc41ea2f7ba16c40c3c
[ "MIT" ]
null
null
null
""" This is the main entry point for the weather API command line interface. Displays the main menu to allow access to all functionality.""" try: import requests except ImportError: print('Import error') def weather(): pass if __name__ == '__main__': weather()
23.25
140
0.709677
38
279
5
0.789474
0.073684
0
0
0
0
0
0
0
0
0
0
0.204301
279
12
141
23.25
0.855856
0.476703
0
0
0
0
0.142857
0
0
0
0
0
0
1
0.125
true
0.125
0.375
0
0.5
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
1
1
1
0
0
0
0
3
514a226717ba13e83ded8a42f26b5aa9bc6f7463
3,317
py
Python
Contests/Hour-of-Code-2017/Rob-the-bank.py
Justin-Teng/HackerRank
bb501715d4fb0322ccffa70b75c4d6df1463a334
[ "MIT" ]
null
null
null
Contests/Hour-of-Code-2017/Rob-the-bank.py
Justin-Teng/HackerRank
bb501715d4fb0322ccffa70b75c4d6df1463a334
[ "MIT" ]
null
null
null
Contests/Hour-of-Code-2017/Rob-the-bank.py
Justin-Teng/HackerRank
bb501715d4fb0322ccffa70b75c4d6df1463a334
[ "MIT" ]
null
null
null
N, M = list(map(int, input().split())) grid = [['@' for x in range(M)] for y in range(N)] for i in range(N): line = input() for j in range(M): grid[i][j] = line[j] alreadySeen = False jr = jc = -1 for i in range(N): if alreadySeen: break for j in range(M): if (alreadySeen): ...
28.594828
50
0.348206
393
3,317
2.938931
0.109415
0.138528
0.051948
0.166234
0.774026
0.729004
0.683983
0.683983
0.683983
0.683983
0
0.018933
0.474525
3,317
115
51
28.843478
0.643718
0
0
0.477064
0
0
0.014772
0
0
0
0
0
0
1
0
false
0
0
0
0
0.018349
0
0
0
null
0
0
1
0
1
0
0
0
1
0
0
0
0
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
3
5aa7273f1029c5afd7a4433218d03a84233899fe
1,142
py
Python
System_Employees_Managment/employee_class.py
bilakos26/Python-Test-Projects
54f79bac08dd6a7f49485444c1944ba8de6376e2
[ "Apache-2.0" ]
null
null
null
System_Employees_Managment/employee_class.py
bilakos26/Python-Test-Projects
54f79bac08dd6a7f49485444c1944ba8de6376e2
[ "Apache-2.0" ]
null
null
null
System_Employees_Managment/employee_class.py
bilakos26/Python-Test-Projects
54f79bac08dd6a7f49485444c1944ba8de6376e2
[ "Apache-2.0" ]
null
null
null
class Employee: def __init__(self, name, ID, department, job_title): self.__name = name self.__id = ID self.__department = department self.__job_title = job_title def set_name(self, name): self.__name = name def set_id(self, ID): self.__id = ID def ...
20.392857
93
0.541156
130
1,142
4.238462
0.146154
0.188748
0.130672
0.08167
0.15608
0.083485
0
0
0
0
0
0
0.360771
1,142
56
94
20.392857
0.754795
0.105079
0
0.266667
0
0
0
0
0
0
0
0
0
1
0.333333
false
0
0
0.166667
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
1
1
0
0
3
5abdbf3b9ed70d5c4b79f07eeacfb030b2983e9b
354
py
Python
simulation/executables/run_web_proc_anim.py
fladdimir/csa-simulation-based-sc-forecast
80f176a783496f8859609f63b56c6199a73d9909
[ "MIT" ]
2
2020-11-04T17:34:38.000Z
2021-08-13T07:55:23.000Z
simulation/executables/run_web_proc_anim.py
fladdimir/csa-simulation-based-sc-forecast
80f176a783496f8859609f63b56c6199a73d9909
[ "MIT" ]
null
null
null
simulation/executables/run_web_proc_anim.py
fladdimir/csa-simulation-based-sc-forecast
80f176a783496f8859609f63b56c6199a73d9909
[ "MIT" ]
2
2021-05-28T02:55:44.000Z
2021-08-03T13:56:10.000Z
import sys sys.path.append(".") import logging from emulation import order_event_reporter from model.blocks import order from model.runnables.proc_anim import run_animation_with_interface_configuration logging.getLogger().setLevel("INFO") order.update = order_event_reporter.update run_animation_with_interface_conf...
23.6
80
0.855932
47
354
6.148936
0.553191
0.076125
0.124567
0.17301
0.262976
0
0
0
0
0
0
0
0.076271
354
14
81
25.285714
0.883792
0
0
0
0
0
0.014124
0
0
0
0
0
0
1
0
true
0
0.555556
0
0.555556
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
3
5ae49c2b5e44f8d24ab482f3049eedffde5520a4
877
py
Python
graditudelib/histograms_of_fractions.py
foerstner-lab/GRADitude
02251b3e204bf4702bf189d9bec375068a6fc0d7
[ "0BSD" ]
1
2018-04-13T17:54:38.000Z
2018-04-13T17:54:38.000Z
graditudelib/histograms_of_fractions.py
konrad/GRADitude
07a92b14bbad4383e5f146387530556e751389f3
[ "MIT" ]
8
2020-02-27T11:58:42.000Z
2020-11-25T07:30:52.000Z
graditudelib/histograms_of_fractions.py
konrad/GRADitude
07a92b14bbad4383e5f146387530556e751389f3
[ "MIT" ]
1
2019-01-25T10:10:56.000Z
2019-01-25T10:10:56.000Z
import matplotlib.pyplot as plt import pandas as pd def plot_histograms(feature_count_table, feature_count_start_column): feature_count_table_df = pd.read_table(feature_count_table) feature_count_table_df_value = _extract_value_matrix(feature_count_table_df, ...
33.730769
84
0.695553
115
877
4.765217
0.304348
0.328467
0.341241
0.312044
0.583942
0.412409
0.364964
0.364964
0.218978
0.218978
0
0.00303
0.247434
877
25
85
35.08
0.827273
0.011403
0
0.111111
0
0
0
0
0
0
0
0
0
1
0.166667
false
0
0.111111
0.055556
0.333333
0
0
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
3
5af1e2bf90153689932ba757aa95c0e4f6d27eac
5,218
py
Python
aliyun-python-sdk-gdb/aliyunsdkgdb/request/v20190903/CreateDBInstanceRequest.py
yndu13/aliyun-openapi-python-sdk
12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5
[ "Apache-2.0" ]
1,001
2015-07-24T01:32:41.000Z
2022-03-25T01:28:18.000Z
aliyun-python-sdk-gdb/aliyunsdkgdb/request/v20190903/CreateDBInstanceRequest.py
yndu13/aliyun-openapi-python-sdk
12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5
[ "Apache-2.0" ]
363
2015-10-20T03:15:00.000Z
2022-03-08T12:26:19.000Z
aliyun-python-sdk-gdb/aliyunsdkgdb/request/v20190903/CreateDBInstanceRequest.py
yndu13/aliyun-openapi-python-sdk
12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5
[ "Apache-2.0" ]
682
2015-09-22T07:19:02.000Z
2022-03-22T09:51:46.000Z
# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not u...
33.025316
75
0.77501
636
5,218
6.13522
0.201258
0.032291
0.075346
0.091492
0.166838
0.166838
0.166838
0
0
0
0
0.002614
0.120161
5,218
158
76
33.025316
0.84731
0.1445
0
0
0
0
0.144941
0.019449
0
0
0
0
0
1
0.457447
false
0
0.021277
0.223404
0.712766
0
0
0
0
null
0
0
0
0
0
0
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
1
1
0
0
3
8500f0d9301e5ce4442bc682885a43ad00d7a78b
675
py
Python
articles/templatetags/article_tags.py
yar-kik/konfetka
3457ba7921ffe60299958f336599ecee4901bd04
[ "MIT" ]
1
2021-02-19T09:15:21.000Z
2021-02-19T09:15:21.000Z
articles/templatetags/article_tags.py
yar-kik/konfetka
3457ba7921ffe60299958f336599ecee4901bd04
[ "MIT" ]
7
2021-06-05T15:02:37.000Z
2022-03-12T00:58:19.000Z
articles/templatetags/article_tags.py
yar-kik/django_blog
3457ba7921ffe60299958f336599ecee4901bd04
[ "MIT" ]
null
null
null
from django import template from django.db.models import Count from ..models import Article register = template.Library() @register.simple_tag def total_articles(): return Article.objects.count() @register.inclusion_tag('articles/post/latest_articles.html') def show_latest_articles(count=5): latest_articl...
23.275862
71
0.755556
87
675
5.655172
0.413793
0.142276
0.069106
0.081301
0
0
0
0
0
0
0
0.003396
0.127407
675
28
72
24.107143
0.831919
0
0
0.111111
0
0
0.125926
0.05037
0
0
0
0
0
1
0.222222
false
0
0.166667
0.166667
0.611111
0
0
0
0
null
0
0
0
0
0
0
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
1
1
0
0
3
8504a23ff966700fa9fe36cf0ab080b569b8d9e0
100
py
Python
Week 1/grok/samples/2a/23.calculating the median stack.py
anandprabhakar0507/Assignments-Data-Driven-Astronomy-from-University-of-sydney-on-coursera-
58fab1c413d7ad5693b1d63f14be05b0f5ec448c
[ "MIT" ]
4
2021-07-02T02:57:31.000Z
2022-02-01T17:31:14.000Z
Week 1/grok/samples/2a/23.calculating the median stack.py
anandprabhakar0507/Assignments-Data-Driven-Astronomy-from-University-of-sydney-on-coursera-
58fab1c413d7ad5693b1d63f14be05b0f5ec448c
[ "MIT" ]
null
null
null
Week 1/grok/samples/2a/23.calculating the median stack.py
anandprabhakar0507/Assignments-Data-Driven-Astronomy-from-University-of-sydney-on-coursera-
58fab1c413d7ad5693b1d63f14be05b0f5ec448c
[ "MIT" ]
3
2021-07-12T21:54:43.000Z
2022-02-01T17:31:42.000Z
from statistics import median fluxes = [17.3, 70.1, 22.3, 16.2, 20.7] m = median(fluxes) print(m)
25
40
0.66
20
100
3.3
0.8
0.363636
0
0
0
0
0
0
0
0
0
0.180723
0.17
100
4
41
25
0.614458
0
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0.25
0
0.25
0.25
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
85111469a14775b517e89054c05bdbe4eb9dc0f0
160
py
Python
setup.py
levi97/gym-navigate2D
2ea958c403ff5973a178c9ee88df237e15f1c650
[ "MIT" ]
1
2019-08-12T21:19:19.000Z
2019-08-12T21:19:19.000Z
setup.py
levi97/gym-navigate2D
2ea958c403ff5973a178c9ee88df237e15f1c650
[ "MIT" ]
null
null
null
setup.py
levi97/gym-navigate2D
2ea958c403ff5973a178c9ee88df237e15f1c650
[ "MIT" ]
null
null
null
from setuptools import setup setup(name='gym_navigate2D', version='0.0.1', install_requires=['gym', 'numpy', 'matplotlib', 'ipython', 'pandas'] )
20
74
0.65625
19
160
5.421053
0.842105
0
0
0
0
0
0
0
0
0
0
0.029851
0.1625
160
7
75
22.857143
0.738806
0
0
0
0
0
0.314465
0
0
0
0
0
0
1
0
true
0
0.2
0
0.2
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
0
0
0
0
0
3
516f5c1ce15854255cd9f506f1701f4be29e5dd7
723
py
Python
all_cnn_96/kl_regularizer.py
ganow/keras-information-dropout
ec75ebec5c7305a7c6d20d754c789f4d6273ff65
[ "BSD-3-Clause" ]
16
2017-01-09T03:17:53.000Z
2019-08-02T10:54:58.000Z
all_cnn_96/kl_regularizer.py
ganow/keras-information-dropout
ec75ebec5c7305a7c6d20d754c789f4d6273ff65
[ "BSD-3-Clause" ]
null
null
null
all_cnn_96/kl_regularizer.py
ganow/keras-information-dropout
ec75ebec5c7305a7c6d20d754c789f4d6273ff65
[ "BSD-3-Clause" ]
4
2017-03-19T15:16:40.000Z
2019-06-19T19:33:31.000Z
#!/usr/bin/env python #-*- coding: utf-8 -*- import numpy as np from keras.regularizers import Regularizer from keras import backend as K from keras.utils.generic_utils import get_from_module class KLRegularizer(Regularizer): def __init__(self, beta=0.0): self.beta = K.cast_to_floatx(beta) def __call__(sel...
26.777778
71
0.692946
94
723
5.074468
0.5
0.067086
0.054507
0
0
0
0
0
0
0
0
0.008562
0.192255
723
26
72
27.807692
0.808219
0.056708
0
0
0
0
0.027941
0
0
0
0
0
0
1
0.235294
false
0
0.235294
0.117647
0.705882
0
0
0
0
null
0
0
0
0
0
0
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
1
1
0
0
3
51788d681322c42952f21ff6170b8d31a49d05e2
402
py
Python
script.py
Moviesbizzv2yt/Unlimited-Filter-Bot
2c69c0bcdf4fa56da2a7ddaad0522244f1ee8c71
[ "MIT" ]
null
null
null
script.py
Moviesbizzv2yt/Unlimited-Filter-Bot
2c69c0bcdf4fa56da2a7ddaad0522244f1ee8c71
[ "MIT" ]
null
null
null
script.py
Moviesbizzv2yt/Unlimited-Filter-Bot
2c69c0bcdf4fa56da2a7ddaad0522244f1ee8c71
[ "MIT" ]
null
null
null
class Script(object): START_MSG = """<b>👋Hy {}, ഈ ബോട്ട് Moviesbizzv2.0 ഗ്രൂപ്പിലേക്ക് ഉള്ളത് എന്ന് ഇനി വീണ്ടും വീണ്ടും പറയണോ?? അപ്പോ പിന്നെ എന്തിനാ വീണ്ടും വീണ്ടും സ്റ്റാർട്ട് കുത്തി കളിക്കാൻ വരുന്നേ... ആ സൈഡിലോട്ട് എങ്ങാനും മാറി ഇരിക്ക്‌ ഇനി🤭🤭 """ HELP_MSG = """ <i>നീ ഏതാ..... ഒന്ന് പോടെയ് അവൻ help ചോയ...
25.125
117
0.487562
194
402
1.474227
0.360825
0.048951
0.041958
0.055944
0.132867
0.097902
0.097902
0.097902
0.097902
0.097902
0
0.005935
0.161692
402
15
118
26.8
0.566766
0
0
0.222222
0
0.333333
0.825871
0.054726
0
0
0
0
0
1
0
false
0
0
0
0.333333
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
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
3
5184d758a6ebf75622fa02b4404f69da176844ce
289
py
Python
lib/utils/emails.py
rpa-tomorrow/substorm-nlp
0c9f6ab2e27338efe1aa5bd7283a1671dc02ae1c
[ "MIT" ]
1
2021-03-15T16:08:50.000Z
2021-03-15T16:08:50.000Z
lib/utils/emails.py
rpa-tomorrow/substorm-nlp
0c9f6ab2e27338efe1aa5bd7283a1671dc02ae1c
[ "MIT" ]
144
2020-09-17T09:01:21.000Z
2020-12-12T08:21:29.000Z
lib/utils/emails.py
widforss/substorm-nlp
0c9f6ab2e27338efe1aa5bd7283a1671dc02ae1c
[ "MIT" ]
2
2020-12-16T09:46:34.000Z
2021-03-17T05:56:48.000Z
""" Module with util functions connected to email addresses """ import re def is_email(email: str) -> bool: """ Uses regex to check if a incoming string is an email address""" regex = "^([a-zA-Z0-9]+[\\._-]?[a-zA-Z0-9]+)[@](\\w+[.])+\\w{2,3}$" return re.search(regex, email)
26.272727
71
0.602076
46
289
3.73913
0.673913
0.034884
0.05814
0.069767
0
0
0
0
0
0
0
0.025105
0.17301
289
10
72
28.9
0.694561
0.401384
0
0
0
0.25
0.358491
0.358491
0
0
0
0
0
1
0.25
false
0
0.25
0
0.75
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
3
51a3991fb1d8b6a07022f84774a9554f4ad41e31
1,632
py
Python
test_modified_func.py
sid7954/NIPS-2017-Learning-to-Run-Challenge
8b98cc1480ae6ea40dc346bd76ddba79b0af53f7
[ "MIT" ]
5
2018-10-04T19:55:53.000Z
2018-10-05T13:39:22.000Z
test_modified_func.py
TheShadow29/nips-challenge-learning-to-run
83429d6cd62a21e338e1cc722f86f23054e59926
[ "MIT" ]
null
null
null
test_modified_func.py
TheShadow29/nips-challenge-learning-to-run
83429d6cd62a21e338e1cc722f86f23054e59926
[ "MIT" ]
null
null
null
import opensim as osim from osim.env import RunEnv import sys from osim.http.client import Client import types def modified_init(self, visualize = True, max_obstacles = 3): self.max_obstacles = max_obstacles super(RunEnv, self).__init__(visualize = False, noutput = self.noutput) self.osim_model.model.set...
48
780
0.769608
190
1,632
6.521053
0.452632
0.029056
0.031477
0.043584
0.056497
0
0
0
0
0
0
0.456067
0.121324
1,632
33
781
49.454545
0.40795
0
0
0
0
0
0.007971
0
0
0
0
0
0
0
null
null
0
0.208333
null
null
0.083333
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
3
51c1b401bd58ffd7c9be835db2921db59f346227
220
py
Python
tests/input_files/example_func.py
nickderobertis/pyfileconf-datacode
cb9b8cdaca7cc680c9c75d748a024efc13b4a308
[ "MIT" ]
null
null
null
tests/input_files/example_func.py
nickderobertis/pyfileconf-datacode
cb9b8cdaca7cc680c9c75d748a024efc13b4a308
[ "MIT" ]
2
2021-12-20T00:10:31.000Z
2021-12-20T00:10:32.000Z
tests/input_files/example_func.py
nickderobertis/pyfileconf-datacode
cb9b8cdaca7cc680c9c75d748a024efc13b4a308
[ "MIT" ]
null
null
null
from pyfileconf import Selector from tests.input_files.example_config import ConfigExample def a_function(a: str) -> str: s = Selector() config: ConfigExample = s.dcpm.confs.ConfigExample() return a + 'd'
22
58
0.727273
29
220
5.413793
0.655172
0
0
0
0
0
0
0
0
0
0
0
0.177273
220
10
59
22
0.867403
0
0
0
0
0
0.004525
0
0
0
0
0
0
1
0.166667
false
0
0.333333
0
0.666667
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
1
0
0
3
51d18a2858f4df87c2e619dbc2b4cd94e8a61c83
408
py
Python
dit_helpdesk/countries/tests/test_config.py
uktrade/dit-helpdesk
f5127daa46e920d33ec3f0b982136b65bba0353a
[ "MIT" ]
3
2019-10-24T10:39:38.000Z
2021-07-13T11:46:18.000Z
dit_helpdesk/countries/tests/test_config.py
uktrade/dit-helpdesk
f5127daa46e920d33ec3f0b982136b65bba0353a
[ "MIT" ]
20
2020-01-22T11:16:24.000Z
2022-02-02T10:38:54.000Z
dit_helpdesk/countries/tests/test_config.py
uktrade/dit-helpdesk
f5127daa46e920d33ec3f0b982136b65bba0353a
[ "MIT" ]
null
null
null
from django.test import TestCase from django.apps import apps from countries.apps import CountriesConfig class CountriesConfigTestCase(TestCase): """ Config tests """ def test_config_name_is_countries(self): self.assertEqual(CountriesConfig.name, "countries") def test_app_name_is_countr...
24
76
0.745098
48
408
6.125
0.395833
0.068027
0.102041
0.129252
0.231293
0.231293
0
0
0
0
0
0
0.164216
408
16
77
25.5
0.86217
0.029412
0
0
0
0
0.071053
0
0
0
0
0
0.25
1
0.25
false
0
0.375
0
0.75
0
0
0
0
null
0
0
0
0
0
0
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
1
0
1
0
0
3
51d3878e39cd1b290a0eaeb08e3f64757d4ea419
108
py
Python
.config/autokey/data/chromium/text-editing/c-e-move-end-of-line.py
tonyaldon/uconfig
e2966389dc4bdaf10ef86f1625faf1b2caf687c6
[ "MIT" ]
1
2021-01-14T19:10:38.000Z
2021-01-14T19:10:38.000Z
.config/autokey/data/chromium/text-editing/c-e-move-end-of-line.py
tonyaldon/uconfig
e2966389dc4bdaf10ef86f1625faf1b2caf687c6
[ "MIT" ]
null
null
null
.config/autokey/data/chromium/text-editing/c-e-move-end-of-line.py
tonyaldon/uconfig
e2966389dc4bdaf10ef86f1625faf1b2caf687c6
[ "MIT" ]
1
2021-01-14T19:10:40.000Z
2021-01-14T19:10:40.000Z
store.set_global_value('hotkey', '<ctrl>+e') engine.set_return_value('<end>') engine.run_script('chromium')
27
44
0.75
16
108
4.75
0.8125
0
0
0
0
0
0
0
0
0
0
0
0.037037
108
3
45
36
0.730769
0
0
0
0
0
0.25
0
0
0
0
0
0
1
0
true
0
0
0
0
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
0
0
0
0
0
3
51dacf3eac703ca8fd547cf66916e33bde7d41b1
2,642
py
Python
03.baiduTranslateSpider.py
a904919863/Spiders_Collection
970aef563971eba5c9dca5dfe1cd8790561941be
[ "MIT" ]
3
2022-02-23T02:44:47.000Z
2022-02-28T06:41:26.000Z
03.baiduTranslateSpider.py
a904919863/Spiders_Collection
970aef563971eba5c9dca5dfe1cd8790561941be
[ "MIT" ]
null
null
null
03.baiduTranslateSpider.py
a904919863/Spiders_Collection
970aef563971eba5c9dca5dfe1cd8790561941be
[ "MIT" ]
null
null
null
import requests import json import execjs import re # baseurl = r"https://fanyi.baidu.com/sug" # baseurl = "https://fanyi.baidu.com/basetrans" baseurl = "https://fanyi.baidu.com/v2transapi?from=en&to=zh" headers = { "User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chr...
42.612903
1,135
0.741105
265
2,642
7.207547
0.550943
0.018325
0.02356
0.028272
0.026178
0
0
0
0
0
0
0.161758
0.13891
2,642
62
1,136
42.612903
0.677802
0.133611
0
0
0
0.052632
0.636324
0.479771
0
0
0
0
0
1
0.105263
false
0
0.105263
0
0.236842
0.026316
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
3
51dd1ce4cc2912680c3661de014d7633f01bd189
315
py
Python
forloop2.py
Datagatherer2357/Gareth-Duffy-GMIT-Problem-sets-Python-scripts
f14f62e5b76dc27c04a616d3fe73abfb5052fc3f
[ "Apache-2.0" ]
2
2018-02-25T16:17:26.000Z
2018-02-25T16:17:36.000Z
forloop2.py
Datagatherer2357/Gareth-Duffy-GMIT-Problem-sets-Python-scripts
f14f62e5b76dc27c04a616d3fe73abfb5052fc3f
[ "Apache-2.0" ]
null
null
null
forloop2.py
Datagatherer2357/Gareth-Duffy-GMIT-Problem-sets-Python-scripts
f14f62e5b76dc27c04a616d3fe73abfb5052fc3f
[ "Apache-2.0" ]
null
null
null
# Gareth Duffy 2-3-2018 # example of for loop using range function as iterator # for loops are definite iterators compared to e.g. while loops (indefinite) for i in range(1, 99, 2): # change range to experiment (third value is the 'step') print(i, end=' ') # end prints all on one line instead of separate lines
45
82
0.730159
55
315
4.181818
0.818182
0
0
0
0
0
0
0
0
0
0
0.039063
0.187302
315
6
83
52.5
0.859375
0.815873
0
0
0
0
0.019231
0
0
0
0
0
0
1
0
false
0
0
0
0
0.5
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
1
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
3
51fa71c73a8530f043adf138b5e0eb252f63c11a
71
py
Python
picamutils/aws/__init__.py
joniturunen/picam
138523653d27342d550f2dffba8036bea67a7ff6
[ "MIT" ]
null
null
null
picamutils/aws/__init__.py
joniturunen/picam
138523653d27342d550f2dffba8036bea67a7ff6
[ "MIT" ]
null
null
null
picamutils/aws/__init__.py
joniturunen/picam
138523653d27342d550f2dffba8036bea67a7ff6
[ "MIT" ]
null
null
null
__author__ = 'joniturunen' from .s3fileuploader import S3FileUploader
17.75
42
0.830986
6
71
9.166667
0.833333
0
0
0
0
0
0
0
0
0
0
0.031746
0.112676
71
3
43
23.666667
0.84127
0
0
0
0
0
0.15493
0
0
0
0
0
0
1
0
false
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
0
0
1
0
0
0
0
3
cf9862532b6705f1f549da1263633888c09e4609
1,429
py
Python
tests/test_public_api.py
k8iechen/vcfpy
89f7097cb5bc7bfec198d8c02fe031b44786b14b
[ "MIT" ]
48
2016-09-25T16:07:53.000Z
2022-01-19T17:44:46.000Z
tests/test_public_api.py
k8iechen/vcfpy
89f7097cb5bc7bfec198d8c02fe031b44786b14b
[ "MIT" ]
83
2016-09-16T12:20:02.000Z
2021-05-12T09:12:10.000Z
tests/test_public_api.py
k8iechen/vcfpy
89f7097cb5bc7bfec198d8c02fe031b44786b14b
[ "MIT" ]
9
2016-10-04T15:10:06.000Z
2022-02-08T21:10:51.000Z
# -*- coding: utf-8 -*- """Test that the public API classes are available from the ``vcfpy`` package """ import vcfpy def test_from_exceptions(): assert vcfpy.VCFPyException assert vcfpy.InvalidHeaderException assert vcfpy.InvalidRecordException assert vcfpy.IncorrectVCFFormat assert vcfpy.Header...
21.984615
76
0.743877
166
1,429
6.319277
0.373494
0.419447
0.052431
0.036225
0.045758
0
0
0
0
0
0
0.000877
0.202239
1,429
64
77
22.328125
0.919298
0.06718
0
0.042553
0
0
0
0
0
0
0
0
0.851064
1
0.12766
true
0
0.021277
0
0.148936
0
0
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
1
0
0
1
0
0
0
0
0
0
3
cfad0731c31b7ce6b6374d737e2519c07d3af05d
1,178
py
Python
EmoPy/EmoPy/src/dataset.py
Rahmatullina/FinalYearProject
326f521b9f600dbbc7ace2223bd5aafc79b2267c
[ "Apache-2.0" ]
null
null
null
EmoPy/EmoPy/src/dataset.py
Rahmatullina/FinalYearProject
326f521b9f600dbbc7ace2223bd5aafc79b2267c
[ "Apache-2.0" ]
9
2020-09-26T01:09:35.000Z
2022-02-10T01:32:30.000Z
EmoPy/EmoPy/src/dataset.py
Rahmatullina/FinalYearProject
326f521b9f600dbbc7ace2223bd5aafc79b2267c
[ "Apache-2.0" ]
null
null
null
class Dataset(): def __init__(self, train_images, test_images, train_labels, test_labels, emotion_index_map, time_delay=None): self._train_images = train_images self._test_images = test_images self._train_labels = train_labels self._test_labels = test_labels self._emotion_i...
31.837838
113
0.690153
160
1,178
4.625
0.175
0.118919
0.101351
0.056757
0.062162
0
0
0
0
0
0
0
0.220713
1,178
37
114
31.837838
0.8061
0
0
0
0
0
0.058574
0
0
0
0
0
0
1
0.333333
false
0
0
0.259259
0.62963
0.185185
0
0
0
null
0
0
0
0
0
0
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
1
1
0
0
3
cfbaccab75c280aeb221944936afaa4504995322
328
py
Python
output/models/nist_data/atomic/non_positive_integer/schema_instance/nistschema_sv_iv_atomic_non_positive_integer_total_digits_3_xsd/__init__.py
tefra/xsdata-w3c-tests
b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f
[ "MIT" ]
1
2021-08-14T17:59:21.000Z
2021-08-14T17:59:21.000Z
output/models/nist_data/atomic/non_positive_integer/schema_instance/nistschema_sv_iv_atomic_non_positive_integer_total_digits_3_xsd/__init__.py
tefra/xsdata-w3c-tests
b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f
[ "MIT" ]
4
2020-02-12T21:30:44.000Z
2020-04-15T20:06:46.000Z
output/models/nist_data/atomic/non_positive_integer/schema_instance/nistschema_sv_iv_atomic_non_positive_integer_total_digits_3_xsd/__init__.py
tefra/xsdata-w3c-tests
b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f
[ "MIT" ]
null
null
null
from output.models.nist_data.atomic.non_positive_integer.schema_instance.nistschema_sv_iv_atomic_non_positive_integer_total_digits_3_xsd.nistschema_sv_iv_atomic_non_positive_integer_total_digits_3 import NistschemaSvIvAtomicNonPositiveIntegerTotalDigits3 __all__ = [ "NistschemaSvIvAtomicNonPositiveIntegerTotalDigi...
54.666667
254
0.917683
36
328
7.611111
0.583333
0.09854
0.186131
0.262774
0.364964
0.364964
0.364964
0.364964
0.364964
0.364964
0
0.012739
0.042683
328
5
255
65.6
0.859873
0
0
0
0
0
0.152439
0.152439
0
0
0
0
0
1
0
false
0
0.25
0
0.25
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
0
0
0
3
cfc20ee268eb99e19f88b131c3d45fe59c5152e8
2,864
py
Python
openiPrototype/appUI/apiURLs.py
OPENi-ict/ntua_demo
104118fbe1f54db35386ca96286317ceb64cb658
[ "Apache-2.0" ]
null
null
null
openiPrototype/appUI/apiURLs.py
OPENi-ict/ntua_demo
104118fbe1f54db35386ca96286317ceb64cb658
[ "Apache-2.0" ]
null
null
null
openiPrototype/appUI/apiURLs.py
OPENi-ict/ntua_demo
104118fbe1f54db35386ca96286317ceb64cb658
[ "Apache-2.0" ]
null
null
null
__author__ = 'alvertisjo' recommenderSE='http://snf-561492.vm.okeanos.grnet.gr:8080/recommender-se/rest/recommender/' recommnederProductCategories=['Home Appliances', 'Electrical Supplies', 'Kitchen Merchandise', 'Pet Care - Food', 'Clothing', 'Sports Equipment', 'Healthcare', 'Communications', 'Lubricants', 'Audio Vi...
77.405405
835
0.817388
256
2,864
9.0625
0.65625
0.021552
0.032328
0.038793
0.083621
0.075
0.075
0.075
0
0
0
0.097714
0.053073
2,864
36
836
79.555556
0.757743
0.376746
0
0
0
0.222222
0.745076
0.054024
0
0
0
0
0
1
0
false
0.111111
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
3
cfc5d8e6035bd9cc3f94564e2c6d784835cdc876
98
py
Python
setup.py
ethz-asl/modular_semantic_segmentation
7c950f24df11540a7ddae4ff806d5b31934a3210
[ "BSD-3-Clause" ]
20
2018-08-01T15:02:59.000Z
2021-04-19T07:22:17.000Z
setup.py
davesean/modular_semantic_segmentation
5f9e34243915b862e8fef5e6195f1e29f4cebf50
[ "BSD-3-Clause" ]
null
null
null
setup.py
davesean/modular_semantic_segmentation
5f9e34243915b862e8fef5e6195f1e29f4cebf50
[ "BSD-3-Clause" ]
9
2018-08-01T15:03:03.000Z
2019-12-17T05:12:48.000Z
from setuptools import setup setup(name='xview', version="0.0", packages=['xview'])
14
28
0.622449
12
98
5.083333
0.75
0
0
0
0
0
0
0
0
0
0
0.025974
0.214286
98
6
29
16.333333
0.766234
0
0
0
0
0
0.132653
0
0
0
0
0
0
1
0
true
0
0.25
0
0.25
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
0
0
0
0
0
3
cfc6702c287687b9de8c9d6c6ab448ffb657e15d
83
py
Python
full_cost/chem/apps.py
CEMES-CNRS/full_cost_git
600409b49db123db82e7f66462395294dde320ce
[ "CECILL-B" ]
null
null
null
full_cost/chem/apps.py
CEMES-CNRS/full_cost_git
600409b49db123db82e7f66462395294dde320ce
[ "CECILL-B" ]
null
null
null
full_cost/chem/apps.py
CEMES-CNRS/full_cost_git
600409b49db123db82e7f66462395294dde320ce
[ "CECILL-B" ]
null
null
null
from django.apps import AppConfig class ChemConfig(AppConfig): name = 'chem'
13.833333
33
0.73494
10
83
6.1
0.9
0
0
0
0
0
0
0
0
0
0
0
0.180723
83
5
34
16.6
0.897059
0
0
0
0
0
0.048193
0
0
0
0
0
0
1
0
false
0
0.333333
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
0
0
1
0
0
0
0
3
cfcc1a760328248140ae2123d36bd0bc7bbe50ed
109
py
Python
tests/perf/test-string-plain-concat.py
jacobmarshall-etc/duktape
62ef74d0dd64edcd518c588dd88780ea4312144a
[ "MIT" ]
null
null
null
tests/perf/test-string-plain-concat.py
jacobmarshall-etc/duktape
62ef74d0dd64edcd518c588dd88780ea4312144a
[ "MIT" ]
null
null
null
tests/perf/test-string-plain-concat.py
jacobmarshall-etc/duktape
62ef74d0dd64edcd518c588dd88780ea4312144a
[ "MIT" ]
null
null
null
def test(): for i in xrange(1): t = '' for j in xrange(int(1e5)): t += 'x' #print(len(t)) test()
12.111111
28
0.495413
20
109
2.7
0.7
0.296296
0
0
0
0
0
0
0
0
0
0.037975
0.275229
109
8
29
13.625
0.64557
0.119266
0
0
0
0
0.010526
0
0
0
0
0
0
1
0.166667
false
0
0
0
0.166667
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
cfce23bac13c8bdf66f8798f7af1096d6bfc99d7
330
py
Python
flask_project/campaign_manager/insights_functions/__init__.py
hotosm/MapCampaigner
32f6b6af2ce81f84fffe33ab864c4ead23bb55b2
[ "BSD-3-Clause" ]
24
2018-10-05T06:39:11.000Z
2022-02-22T08:54:37.000Z
flask_project/campaign_manager/insights_functions/__init__.py
hotosm/field-campaigner
32f6b6af2ce81f84fffe33ab864c4ead23bb55b2
[ "BSD-3-Clause" ]
384
2017-05-17T07:50:02.000Z
2018-09-20T08:18:56.000Z
flask_project/campaign_manager/insights_functions/__init__.py
hotosm/field-campaigner
32f6b6af2ce81f84fffe33ab864c4ead23bb55b2
[ "BSD-3-Clause" ]
16
2017-05-11T08:52:19.000Z
2018-06-08T06:55:43.000Z
__author__ = 'Irwan Fathurrahman <irwan@kartoza.com>' __date__ = '17/05/17' from .count_feature import CountFeature from .feature_attribute_completeness import FeatureAttributeCompleteness from .mapper_engagement import MapperEngagement from .osmcha_changesets import OsmchaChangesets from .osmcha_features import Osmch...
36.666667
72
0.860606
36
330
7.5
0.666667
0.074074
0
0
0
0
0
0
0
0
0
0.019934
0.087879
330
8
73
41.25
0.877076
0
0
0
0
0
0.139394
0
0
0
0
0
0
1
0
false
0
0.714286
0
0.714286
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
1
0
0
3
cfd0d9ec39ed2e38315be582cb1708340c79df0f
7,512
py
Python
kubernetes/client/models/com_coreos_monitoring_v1_prometheus_rule_spec_rules.py
mariusgheorghies/python
68ac7e168963d8b5a81dc493b1973d29e903a15b
[ "Apache-2.0" ]
null
null
null
kubernetes/client/models/com_coreos_monitoring_v1_prometheus_rule_spec_rules.py
mariusgheorghies/python
68ac7e168963d8b5a81dc493b1973d29e903a15b
[ "Apache-2.0" ]
null
null
null
kubernetes/client/models/com_coreos_monitoring_v1_prometheus_rule_spec_rules.py
mariusgheorghies/python
68ac7e168963d8b5a81dc493b1973d29e903a15b
[ "Apache-2.0" ]
null
null
null
# coding: utf-8 """ Kubernetes No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501 The version of the OpenAPI document: v1.20.7 Generated by: https://openapi-generator.tech """ import pprint import re # noqa: F401 import six fr...
29.809524
146
0.617146
750
7,512
6.065333
0.164
0.031655
0.263794
0.213673
0.467355
0.389756
0.387778
0.198066
0.136733
0.086612
0
0.02037
0.294196
7,512
251
147
29.928287
0.837608
0.387913
0
0.088496
1
0
0.055185
0
0
0
0
0
0
1
0.159292
false
0
0.035398
0
0.336283
0.017699
0
0
0
null
0
1
1
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
3
cfe249110bd435cb948f56bb98099a3d5f5d5c2b
890
py
Python
backend/users/models.py
VladislavOkolzin/Vladislav
09228a344ab3a6b51373eb12959b729275979442
[ "MIT" ]
9
2021-04-30T02:45:44.000Z
2021-09-30T13:41:15.000Z
backend/users/models.py
KangDo96/Vladislav
09228a344ab3a6b51373eb12959b729275979442
[ "MIT" ]
1
2020-10-13T03:17:39.000Z
2020-10-13T03:17:39.000Z
backend/users/models.py
KangDo96/Vladislav
09228a344ab3a6b51373eb12959b729275979442
[ "MIT" ]
4
2021-05-07T05:13:15.000Z
2021-05-08T19:32:02.000Z
from django.contrib.auth.models import AbstractUser from django.db import models from common.models import BaseModel class User(AbstractUser): user_type = models.CharField(null=True, max_length=255) email = models.CharField(blank=True, max_length=255, unique=True) username = models.CharField(null=True, ma...
37.083333
69
0.750562
116
890
5.586207
0.413793
0.111111
0.12037
0.177469
0.290123
0.290123
0.240741
0.132716
0
0
0
0.023778
0.149438
890
23
70
38.695652
0.832233
0
0
0
0
0
0.005618
0
0
0
0
0
0
1
0.052632
false
0.157895
0.157895
0.052632
1
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
1
0
0
1
0
0
3
320b32c4ed7db3f2b9887cb15c88c0c981f3f53b
333
py
Python
titan/react_view_pkg/pkg/create_component_router_config.py
mnieber/gen
65f8aa4fb671c4f90d5cbcb1a0e10290647a31d9
[ "MIT" ]
null
null
null
titan/react_view_pkg/pkg/create_component_router_config.py
mnieber/gen
65f8aa4fb671c4f90d5cbcb1a0e10290647a31d9
[ "MIT" ]
null
null
null
titan/react_view_pkg/pkg/create_component_router_config.py
mnieber/gen
65f8aa4fb671c4f90d5cbcb1a0e10290647a31d9
[ "MIT" ]
null
null
null
from slugify import slugify from titan.react_view_pkg.router.resources import RouterConfig def create_component_router_config(component, named_component, url=None, wraps=False): slug = slugify(component.name) return RouterConfig( component=named_component, url=f"{slug if url is None else url}", wraps...
30.272727
86
0.768769
45
333
5.533333
0.577778
0.11245
0.184739
0.208835
0
0
0
0
0
0
0
0
0.153153
333
10
87
33.3
0.882979
0
0
0
0
0
0.09009
0
0
0
0
0
0
1
0.142857
false
0
0.285714
0
0.571429
0
0
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
3
321818664993be63ba4229e7dbe7a876d48b7e9b
10,879
py
Python
contrib/sprledgerxfr/ecdsa-generate.py
AGBarrett/helium
6f8b1219326db915624d5309de30e8f81729971b
[ "MIT" ]
19
2018-07-05T17:01:57.000Z
2021-05-01T15:08:05.000Z
contrib/sprledgerxfr/ecdsa-generate.py
ortchi42/xsecurus
5735e743cc3fb0535eeec0ffbb9952b905c1fa8b
[ "MIT" ]
23
2018-06-27T18:18:16.000Z
2020-04-24T00:49:23.000Z
contrib/sprledgerxfr/ecdsa-generate.py
ortchi42/xsecurus
5735e743cc3fb0535eeec0ffbb9952b905c1fa8b
[ "MIT" ]
51
2018-06-26T18:10:13.000Z
2020-10-29T16:25:22.000Z
#!/usr/bin/env python """ Generate an ECDSA keypair and Bitcoin-compatible payment address. Requires Brian Warner's excellent python-ecdsa library. http://github.com/aristus/bitcoin-printer """ from ecdsa.ecdsa import Public_key, int_to_string from ecdsa.ellipticcurve import CurveFp, Point import binascii import hash...
46.097458
574
0.764317
827
10,879
9.92503
0.28295
0.011696
0.00731
0.02193
0.318226
0.311404
0.307018
0.288012
0.288012
0.282651
0
0.277159
0.142017
10,879
236
575
46.097458
0.602207
0.285137
0
0.389831
1
0
0.06485
0.04317
0
0
0
0
0
0
null
null
0
0.042373
null
null
0.050847
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
3
5c99bce78a60b1c0e6a49d77e34cacb810232caf
142
py
Python
House/House/tst.py
birdflyinhigh/house
614946c04e0a76a5a3fd5283098ed065e6c7d77b
[ "MIT" ]
null
null
null
House/House/tst.py
birdflyinhigh/house
614946c04e0a76a5a3fd5283098ed065e6c7d77b
[ "MIT" ]
null
null
null
House/House/tst.py
birdflyinhigh/house
614946c04e0a76a5a3fd5283098ed065e6c7d77b
[ "MIT" ]
null
null
null
base_url_bj = 'http://esf.house.163.com/bj/search/{}-0-0-0-1.html' for i in range(1, 19): bj_url = base_url_bj.format(i) print(bj_url)
35.5
66
0.661972
31
142
2.83871
0.612903
0.159091
0.204545
0
0
0
0
0
0
0
0
0.081301
0.133803
142
4
67
35.5
0.634146
0
0
0
0
0.25
0.34965
0
0
0
0
0
0
1
0
false
0
0
0
0
0.25
0
0
0
null
0
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
3
5cd11fbb7b3ca09656290b9bbe8f93a91759c0b8
536
py
Python
dockwrkr/command/login.py
turbulent/dockwrkr
6872208da0b41d1abcddfdf496d450fbcd3947f8
[ "Apache-2.0" ]
4
2017-06-13T13:45:44.000Z
2020-06-09T19:04:53.000Z
dockwrkr/command/login.py
turbulent/dockwrkr
6872208da0b41d1abcddfdf496d450fbcd3947f8
[ "Apache-2.0" ]
3
2017-08-04T18:03:06.000Z
2019-01-11T19:09:43.000Z
dockwrkr/command/login.py
turbulent/dockwrkr
6872208da0b41d1abcddfdf496d450fbcd3947f8
[ "Apache-2.0" ]
5
2017-10-26T15:16:56.000Z
2020-09-29T17:36:00.000Z
from dockwrkr import (Command) from dockwrkr.monads import (Try) class Login(Command): def getUsage(self): return "dockwrkr login [REGISTRY...]" def getHelpTitle(self): return "Perform docker login using credentials in dockwrkr.yml" def main(self): if self.args: regi...
26.8
72
0.652985
61
536
5.737705
0.52459
0.068571
0
0
0
0
0
0
0
0
0
0
0.251866
536
19
73
28.210526
0.872818
0
0
0
0
0
0.152985
0
0
0
0
0
0
1
0.214286
false
0
0.142857
0.142857
0.642857
0
0
0
0
null
0
0
0
0
0
0
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
1
1
0
0
3
5cd8d709965a6618b1556e9fb5695b0c9ef86264
528
py
Python
tests/losses/test_simsiam.py
fariasfc/solo-learn
f53ff40edbc7e96e06db5238d8c3a44f7b8965c1
[ "MIT" ]
3
2021-08-23T12:47:50.000Z
2022-01-16T02:06:34.000Z
tests/losses/test_simsiam.py
damilu1/solo-learn
b75ba6faf5269b0849120bfb89593f9bc23e09bc
[ "MIT" ]
null
null
null
tests/losses/test_simsiam.py
damilu1/solo-learn
b75ba6faf5269b0849120bfb89593f9bc23e09bc
[ "MIT" ]
null
null
null
import torch from solo.losses import simsiam_loss_func def test_simsiam_loss(): b, f = 32, 128 p = torch.randn(b, f).requires_grad_() z = torch.randn(b, f) loss = simsiam_loss_func(p, z) initial_loss = loss.item() assert loss != 0 for i in range(20): loss = simsiam_loss_func(p, z...
22
90
0.623106
85
528
3.670588
0.447059
0.211538
0.240385
0.205128
0.24359
0.134615
0
0
0
0
0
0.030534
0.255682
528
23
91
22.956522
0.763359
0
0
0.125
0
0
0
0
0
0
0
0
0.1875
1
0.0625
false
0
0.125
0
0.1875
0
0
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
3
7a266311863117547f2b54dba3addad98697adf2
2,910
py
Python
gocddash/dashboard/pipeline_status.py
peterrosell/gocddash
c1004135dc66b0d8394d6025750b94e12650ab36
[ "MIT" ]
4
2016-01-20T19:53:06.000Z
2019-09-16T11:49:13.000Z
gocddash/dashboard/pipeline_status.py
peterrosell/gocddash
c1004135dc66b0d8394d6025750b94e12650ab36
[ "MIT" ]
null
null
null
gocddash/dashboard/pipeline_status.py
peterrosell/gocddash
c1004135dc66b0d8394d6025750b94e12650ab36
[ "MIT" ]
5
2016-07-13T10:41:20.000Z
2018-04-10T07:41:18.000Z
from ..analysis.characterize_data_munging import get_failure_stage_signature from ..analysis.data_access import get_connection from ..console_parsers.determine_parser import get_log_parser from ..console_parsers.junit_report_parser import JunitConsoleParser from ..console_parsers.characterize_console_parser import Text...
33.837209
100
0.771821
347
2,910
6.0317
0.25072
0.097468
0.107023
0.054945
0.361204
0.282848
0.152891
0.114668
0.114668
0
0
0
0.161512
2,910
85
101
34.235294
0.857787
0.043986
0
0.266667
0
0
0.012959
0
0
0
0
0
0
1
0.25
false
0
0.1
0.166667
0.633333
0
0
0
0
null
0
0
0
0
0
0
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
1
1
0
0
3
7a3958089405dd37861d1831c41062307450e259
577
py
Python
afqueue/config_files/queue_defines.py
appfirst/distributed_queue_manager
733fd18a7c178e1163bac8ee6359156789641f7f
[ "MIT" ]
1
2021-05-24T17:09:50.000Z
2021-05-24T17:09:50.000Z
afqueue/config_files/queue_defines.py
appfirst/distributed_queue_manager
733fd18a7c178e1163bac8ee6359156789641f7f
[ "MIT" ]
null
null
null
afqueue/config_files/queue_defines.py
appfirst/distributed_queue_manager
733fd18a7c178e1163bac8ee6359156789641f7f
[ "MIT" ]
null
null
null
CLIENT_LOCK_QUEUE_REQUEST_TIME_OUT = 30000 CLIENT_UNLOCK_QUEUE_REQUEST_TIME_OUT = 30000 CLIENT_DEFAULT_DECLARE_QUEUES_REQUEST_TIME_OUT = 30000 CLIENT_DEFAULT_DECLARE_QUEUE_REQUEST_TIME_OUT = 30000 CLIENT_DEFAULT_DECLARE_EXCHANGES_REQUEST_TIME_OUT = 30000 CLIENT_DEFAULT_DECLARE_EXCHANGE_REQUEST_TIME_OUT = 30000 CLIENT_D...
44.384615
57
0.909879
83
577
5.638554
0.277108
0.211538
0.269231
0.365385
0.660256
0.487179
0.354701
0.188034
0
0
0
0.102041
0.065858
577
13
58
44.384615
0.766234
0.060659
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
3
7a537628a80e21a17a027713e082262d57927423
241
py
Python
090-e-dot.py
catherinedevlin/just-enough-python
3e272d37cbe68eed3e90fb472cfb4caf0a571881
[ "MIT" ]
5
2019-07-25T13:54:44.000Z
2021-02-05T12:16:53.000Z
090-e-dot.py
catherinedevlin/just-enough-python
3e272d37cbe68eed3e90fb472cfb4caf0a571881
[ "MIT" ]
null
null
null
090-e-dot.py
catherinedevlin/just-enough-python
3e272d37cbe68eed3e90fb472cfb4caf0a571881
[ "MIT" ]
null
null
null
# Sometimes methods take arguments. # Try changing the argument passed to lpad. # Then try some whole different methods... catcher = 'Joyce' print(third_batter.lpad(10)) print(third_batter.startswith('M')) print(third_batter.endswith(''))
26.777778
43
0.759336
33
241
5.454545
0.727273
0.166667
0.266667
0
0
0
0
0
0
0
0
0.00939
0.116183
241
8
44
30.125
0.835681
0.481328
0
0
0
0
0.05
0
0
0
0
0
0
1
0
false
0
0
0
0
0.75
0
0
0
null
0
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
0
0
0
1
0
3
7a87da0f8a64819f9e573aaac7bce13118d64c67
140
py
Python
BOJ/18000~18999/18100~18199/18198.py
shinkeonkim/today-ps
f3e5e38c5215f19579bb0422f303a9c18c626afa
[ "Apache-2.0" ]
2
2020-01-29T06:54:41.000Z
2021-11-07T13:23:27.000Z
BOJ/18000~18999/18100~18199/18198.py
shinkeonkim/Today_PS
bb0cda0ee1b9c57e1cfa38355e29d0f1c6167a44
[ "Apache-2.0" ]
null
null
null
BOJ/18000~18999/18100~18199/18198.py
shinkeonkim/Today_PS
bb0cda0ee1b9c57e1cfa38355e29d0f1c6167a44
[ "Apache-2.0" ]
null
null
null
a = input() d = {'A':0,'B':0} for i in range(0,len(a),2): d[a[i]] += int(a[i+1]) if d['A'] > d['B']: print("A") else: print("B")
17.5
27
0.421429
32
140
1.84375
0.5
0.101695
0
0
0
0
0
0
0
0
0
0.045872
0.221429
140
8
28
17.5
0.495413
0
0
0
0
0
0.042553
0
0
0
0
0
0
1
0
false
0
0
0
0
0.25
0
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
3
7a91a1e984be82eb95bdfee7db66d6c8337388c5
1,707
py
Python
app/util/schemas.py
EleutherAGI/eegi-backend
6e013a4928f1cdea4ef495e82fe641f917708cde
[ "MIT" ]
null
null
null
app/util/schemas.py
EleutherAGI/eegi-backend
6e013a4928f1cdea4ef495e82fe641f917708cde
[ "MIT" ]
2
2021-05-15T15:33:31.000Z
2021-05-28T15:55:21.000Z
app/util/schemas.py
EleutherAGI/eegi-backend
6e013a4928f1cdea4ef495e82fe641f917708cde
[ "MIT" ]
2
2021-05-15T15:08:25.000Z
2021-05-16T16:05:55.000Z
from pydantic import BaseModel from sqlalchemy.sql.expression import text # ---------------- login schemas -------------------- # class Token(BaseModel): access_token: str token_type: str class TokenData(BaseModel): email: str = None expire: str = None issue_time: str = None # ...
18.159574
56
0.625073
198
1,707
5.20202
0.333333
0.085437
0.092233
0.069903
0.3
0.3
0.269903
0.269903
0.269903
0.269903
0
0.004815
0.270064
1,707
94
57
18.159574
0.82183
0.100176
0
0.465517
0
0
0
0
0
0
0
0.010638
0
1
0
false
0.172414
0.034483
0
0.982759
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
1
0
0
0
0
1
0
0
1
0
0
3
7a96b09cccd6cafa6588cd4c648d37be78ac7b08
3,118
py
Python
tracking/models.py
Gikeda2016/django-correios
b865f8c25fe456146ea3c9183aa4b9bdac69c9c7
[ "MIT" ]
1
2021-09-22T12:14:22.000Z
2021-09-22T12:14:22.000Z
tracking/models.py
Gikeda2016/django-correios
b865f8c25fe456146ea3c9183aa4b9bdac69c9c7
[ "MIT" ]
null
null
null
tracking/models.py
Gikeda2016/django-correios
b865f8c25fe456146ea3c9183aa4b9bdac69c9c7
[ "MIT" ]
null
null
null
# This is an auto-generated Django model module. # You'll have to do the following manually to clean this up: # * Rearrange models' order # * Make sure each model has one field with primary_key=True # * Make sure each ForeignKey and OneToOneField has `on_delete` set to the desired behavior # * Remove `managed =...
41.573333
104
0.684734
421
3,118
4.988124
0.301663
0.09
0.13
0.17
0.480952
0.404286
0.320476
0.320476
0.276667
0.171429
0
0.016634
0.190186
3,118
74
105
42.135135
0.81505
0.220975
0
0.244898
1
0.040816
0.072765
0
0
0
0
0
0
1
0.040816
false
0
0.020408
0
0.816327
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
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
3
7a96fe41cda660975e605bf0643e0fb65e54b5e3
6,129
py
Python
tests/test_write_tiff.py
DigitalSlideArchive/tifftools
c2db6409e909fd27bc3746bf0abacda236c42a08
[ "Apache-2.0" ]
25
2020-09-15T19:33:15.000Z
2022-02-24T18:55:13.000Z
tests/test_write_tiff.py
DigitalSlideArchive/tifftools
c2db6409e909fd27bc3746bf0abacda236c42a08
[ "Apache-2.0" ]
6
2020-09-15T19:32:08.000Z
2022-02-28T17:34:41.000Z
tests/test_write_tiff.py
DigitalSlideArchive/tifftools
c2db6409e909fd27bc3746bf0abacda236c42a08
[ "Apache-2.0" ]
1
2021-12-06T21:36:13.000Z
2021-12-06T21:36:13.000Z
import copy import logging import os import pytest import tifftools from .datastore import datastore LOGGER = logging.getLogger('tifftools') def test_write_already_exists(tmp_path): path = datastore.fetch('d043-200.tif') info = tifftools.read_tiff(path) destpath = tmp_path / 'sample.tiff' tifftool...
35.427746
88
0.67613
793
6,129
5.04918
0.155107
0.04021
0.093407
0.082418
0.779471
0.738012
0.717782
0.685065
0.685065
0.676324
0
0.019314
0.172132
6,129
172
89
35.633721
0.769807
0.0217
0
0.598592
0
0
0.124979
0
0
0
0
0
0.098592
1
0.084507
false
0
0.042254
0
0.126761
0
0
0
0
null
0
0
0
0
1
1
0
0
1
0
0
0
0
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
3
8f907c4887e6cbcdcd8fa85f040defb00a62c795
168
py
Python
example.py
Shoe-Pi/TMP102_Pi
fcc4e5730be8a19d420968f7b4b1464eabcd4cb1
[ "MIT" ]
null
null
null
example.py
Shoe-Pi/TMP102_Pi
fcc4e5730be8a19d420968f7b4b1464eabcd4cb1
[ "MIT" ]
null
null
null
example.py
Shoe-Pi/TMP102_Pi
fcc4e5730be8a19d420968f7b4b1464eabcd4cb1
[ "MIT" ]
null
null
null
import time import TMP102 try: while True: print("{:.2f}".format(TMP102.get_temp()) + "*C") time.sleep(0.5) except KeyboardInterrupt: print("Manually stopped.")
16.8
50
0.690476
23
168
5
0.826087
0
0
0
0
0
0
0
0
0
0
0.061644
0.130952
168
9
51
18.666667
0.726027
0
0
0
0
0
0.14881
0
0
0
0
0
0
1
0
true
0
0.25
0
0.25
0.25
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
0
0
0
0
0
3
8f94a99ec231e3bca8486b3fb2578924371d260d
33
py
Python
packages/amplify-e2e-tests/layerdata/python/testfunc.py
rosmu/amplify-cli
8dc238083c74e4eac6c3e96c31490f071cd1cb28
[ "Apache-2.0" ]
6
2021-03-19T00:19:29.000Z
2021-11-08T09:46:12.000Z
packages/amplify-e2e-tests/layerdata/python/testfunc.py
rosmu/amplify-cli
8dc238083c74e4eac6c3e96c31490f071cd1cb28
[ "Apache-2.0" ]
1
2020-06-08T11:59:37.000Z
2020-06-08T11:59:37.000Z
packages/amplify-e2e-tests/layerdata/python/testfunc.py
rosmu/amplify-cli
8dc238083c74e4eac6c3e96c31490f071cd1cb28
[ "Apache-2.0" ]
3
2020-07-17T01:14:56.000Z
2021-03-29T09:04:24.000Z
testString = "Hello from Lambda!"
33
33
0.757576
4
33
6.25
1
0
0
0
0
0
0
0
0
0
0
0
0.121212
33
1
33
33
0.862069
0
0
0
0
0
0.529412
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
8fc10cefba736e82d84774cc2485ea76910168fa
1,025
py
Python
pubnub/endpoints/objects_v2/uuid/get_uuid.py
natekspencer/pubnub-python
453ba34104b4067077546d5d9ba3b206559494d1
[ "MIT" ]
146
2015-01-05T03:14:53.000Z
2022-03-16T16:51:52.000Z
pubnub/endpoints/objects_v2/uuid/get_uuid.py
natekspencer/pubnub-python
453ba34104b4067077546d5d9ba3b206559494d1
[ "MIT" ]
48
2015-01-15T15:27:41.000Z
2022-03-21T14:17:05.000Z
pubnub/endpoints/objects_v2/uuid/get_uuid.py
natekspencer/pubnub-python
453ba34104b4067077546d5d9ba3b206559494d1
[ "MIT" ]
128
2015-01-05T03:40:59.000Z
2022-03-02T20:50:58.000Z
from pubnub.endpoints.objects_v2.objects_endpoint import ObjectsEndpoint, \ IncludeCustomEndpoint, UuidEndpoint from pubnub.enums import PNOperationType from pubnub.enums import HttpMethod from pubnub.models.consumer.objects_v2.uuid import PNGetUUIDMetadataResult class GetUuid(ObjectsEndpoint, UuidEndpoint, Inclu...
31.060606
96
0.748293
110
1,025
6.663636
0.409091
0.05457
0.040928
0.057299
0
0
0
0
0
0
0
0.003542
0.173659
1,025
32
97
32.03125
0.861865
0
0
0
0
0
0.030244
0.022439
0
0
0
0
0
1
0.304348
false
0
0.173913
0.217391
0.782609
0
0
0
0
null
0
0
0
0
0
0
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
1
1
0
0
3
8fc18acc9f596ae5f2af5db2617ccb341ce4b7b5
21
py
Python
ambient_api/__init__.py
czeizinger/ambient-to-cwop
49e929c5a467986cb75367fdeb02db914f1410bd
[ "MIT" ]
20
2018-12-24T15:40:49.000Z
2022-01-10T18:58:41.000Z
ambient_api/__init__.py
czeizinger/ambient-to-cwop
49e929c5a467986cb75367fdeb02db914f1410bd
[ "MIT" ]
10
2018-08-17T02:01:45.000Z
2021-01-08T23:34:59.000Z
ambient_api/__init__.py
czeizinger/ambient-to-cwop
49e929c5a467986cb75367fdeb02db914f1410bd
[ "MIT" ]
14
2018-06-13T23:40:12.000Z
2022-01-05T06:34:13.000Z
name = "ambient_api"
10.5
20
0.714286
3
21
4.666667
1
0
0
0
0
0
0
0
0
0
0
0
0.142857
21
1
21
21
0.777778
0
0
0
0
0
0.52381
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
8ffd21238aad23b534dce32c928ac77a8b3f6c6a
1,735
py
Python
dnd-stats.py
sovay/dnd-stats
a6fa4f1f7f4c03ea7440537c4cec7eb76f487b4b
[ "MIT" ]
1
2018-04-11T02:00:29.000Z
2018-04-11T02:00:29.000Z
dnd-stats.py
sovay/dnd-stats
a6fa4f1f7f4c03ea7440537c4cec7eb76f487b4b
[ "MIT" ]
null
null
null
dnd-stats.py
sovay/dnd-stats
a6fa4f1f7f4c03ea7440537c4cec7eb76f487b4b
[ "MIT" ]
null
null
null
from random import seed,randint from ctypes import * import sys def get_values(): stat = [] for i in xrange(4): stat.append(randint(1,6)) return sorted(stat) def sum_three(stats): return sum(stats[1:]) def rnd_seed(): while True: try: a = raw_input('Type a seed to determine randoms: ') if a == "": ...
22.828947
55
0.67781
245
1,735
4.702041
0.363265
0.145833
0.321181
0.329861
0.399306
0.329861
0.100694
0.100694
0.100694
0.100694
0
0.047051
0.179251
1,735
75
56
23.133333
0.761938
0
0
0.1875
0
0
0.070893
0
0
0
0.005764
0
0
0
null
null
0
0.046875
null
null
0.015625
0
0
0
null
0
1
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
1
0
0
0
0
0
0
0
0
3
890826936b6c46f205c74ea50bf046cd58eaf6e3
23
py
Python
dis_ds/__init__.py
ihuston/dis-datascience
121a5b3d64c2fff3dcc85134cd4592ab3a97d3ab
[ "Apache-2.0" ]
null
null
null
dis_ds/__init__.py
ihuston/dis-datascience
121a5b3d64c2fff3dcc85134cd4592ab3a97d3ab
[ "Apache-2.0" ]
null
null
null
dis_ds/__init__.py
ihuston/dis-datascience
121a5b3d64c2fff3dcc85134cd4592ab3a97d3ab
[ "Apache-2.0" ]
null
null
null
__author__ = 'pivotal'
11.5
22
0.73913
2
23
6.5
1
0
0
0
0
0
0
0
0
0
0
0
0.130435
23
1
23
23
0.65
0
0
0
0
0
0.304348
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
891a289b3ec199ad5e1400e0617a0e746b28eaaf
3,651
py
Python
test/functional/api/cas/core.py
mdziegie/open-cas-linux
a08e6fffefc8a293c40663dfe485a1558733ddcd
[ "BSD-3-Clause-Clear" ]
null
null
null
test/functional/api/cas/core.py
mdziegie/open-cas-linux
a08e6fffefc8a293c40663dfe485a1558733ddcd
[ "BSD-3-Clause-Clear" ]
null
null
null
test/functional/api/cas/core.py
mdziegie/open-cas-linux
a08e6fffefc8a293c40663dfe485a1558733ddcd
[ "BSD-3-Clause-Clear" ]
null
null
null
# # Copyright(c) 2019 Intel Corporation # SPDX-License-Identifier: BSD-3-Clause-Clear # from typing import List from api.cas.cli import * from api.cas.casadm_parser import * from api.cas.cache import Device from test_utils.os_utils import * class CoreStatus(Enum): empty = 0, active = 1, inactive = 2, ...
35.794118
91
0.62476
465
3,651
4.567742
0.260215
0.056497
0.051789
0.070621
0.280132
0.256121
0.201507
0.149718
0.149718
0.149718
0
0.011464
0.28321
3,651
101
92
36.148515
0.800153
0.02602
0
0.041096
0
0
0.031831
0
0
0
0
0
0.013699
1
0.219178
false
0
0.068493
0.178082
0.561644
0
0
0
0
null
0
0
0
0
0
0
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
1
1
0
0
3
64f645ed181ed0cfcfcfa88d3562c23f333159f7
1,162
py
Python
pyCrow/crowlib/features.py
tahesse/pyCrow
613a521e2a7627ea3b111f69503ca1cf387692a1
[ "Apache-2.0" ]
4
2017-10-09T07:12:33.000Z
2018-01-04T18:26:32.000Z
pyCrow/crowlib/features.py
tahesse/pyCrow
613a521e2a7627ea3b111f69503ca1cf387692a1
[ "Apache-2.0" ]
1
2017-12-29T12:40:38.000Z
2017-12-29T12:40:38.000Z
pyCrow/crowlib/features.py
tahesse/pyCrow
613a521e2a7627ea3b111f69503ca1cf387692a1
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/python # -*- coding: utf-8 -*- """This module provides distinct types of features given a pipeline module. """ # Python-native imports import logging.config # Third-party imports import pykka # App imports # prepare logging, i.e. load config and get the root L L = logging.getLogger(__name__) class Fea...
25.26087
87
0.672117
152
1,162
4.960526
0.572368
0.026525
0.037135
0.023873
0.095491
0
0
0
0
0
0
0.001098
0.216007
1,162
45
88
25.822222
0.826564
0.296902
0
0.1
0
0
0.210986
0
0
0
0
0.022222
0
1
0.3
false
0.1
0.1
0
0.5
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
1
0
0
1
0
1
0
0
0
0
0
3
8f2b70a28f83f55db026a8abb9e99a0228502cf4
2,431
py
Python
tests/test_template.py
denisvasilik/binalyzer-template-provider
a9973ade3999fefea0420dac916733365d1cd924
[ "MIT" ]
null
null
null
tests/test_template.py
denisvasilik/binalyzer-template-provider
a9973ade3999fefea0420dac916733365d1cd924
[ "MIT" ]
null
null
null
tests/test_template.py
denisvasilik/binalyzer-template-provider
a9973ade3999fefea0420dac916733365d1cd924
[ "MIT" ]
null
null
null
""" test_template ~~~~~~~~~~~~~ This module implements tests for the mapping of a XML description to a template tree. """ from binalyzer_core import Template from binalyzer_template_provider import XMLTemplateParser def test_template_mapping_root(): template = XMLTemplateParser( """ ...
32.413333
74
0.663513
278
2,431
5.708633
0.165468
0.192817
0.246377
0.289855
0.757404
0.689981
0.635791
0.445495
0.320731
0.151229
0
0.028228
0.213081
2,431
74
75
32.851351
0.801359
0.046894
0
0.136364
0
0
0
0
0
0
0
0
0.75
1
0.068182
false
0
0.045455
0
0.113636
0
0
0
0
null
0
1
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
1
0
0
0
0
0
0
0
0
0
3
8f443e80153d1ff54935ef6c165326b58679fa0b
13,471
py
Python
sacrerouge/tests/metrics/docker/rouge_test.py
jvamvas/sacrerouge
d3938d15d747707cb92067b1f711b775ddaf211e
[ "Apache-2.0" ]
81
2020-07-10T15:45:08.000Z
2022-03-30T12:19:11.000Z
sacrerouge/tests/metrics/docker/rouge_test.py
jvamvas/sacrerouge
d3938d15d747707cb92067b1f711b775ddaf211e
[ "Apache-2.0" ]
29
2020-08-03T21:50:45.000Z
2022-02-23T14:34:16.000Z
sacrerouge/tests/metrics/docker/rouge_test.py
jvamvas/sacrerouge
d3938d15d747707cb92067b1f711b775ddaf211e
[ "Apache-2.0" ]
7
2020-08-14T09:54:08.000Z
2022-03-30T12:19:25.000Z
import pytest from repro.common.docker import image_exists from repro.models.lin2004 import DEFAULT_IMAGE from sacrerouge.common.testing.metric_test_cases import ReferenceBasedMetricTestCase from sacrerouge.common.testing.util import sacrerouge_command_exists from sacrerouge.metrics.docker import DockerRouge @pytest...
32.93643
111
0.307178
902
13,471
4.562084
0.312639
0.017497
0.034994
0.009478
0
0
0
0
0
0
0
0.328863
0.573825
13,471
408
112
33.017157
0.387912
0.004825
0
0.18408
0
0
0.133766
0
0
0
0
0
0.007463
1
0.007463
false
0
0.014925
0
0.024876
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
3
8f466d2278884f58cdae38a6bfdbb91180215848
4,447
py
Python
exploit/pytoolkit/mini-crypto.py
5l1v3r1/saydog-framework
92d6d2a80958ecf5724c95d1d3c76d8ca95db8d6
[ "Xnet", "TCP-wrappers", "X11" ]
2
2020-09-26T16:43:11.000Z
2021-02-09T21:46:08.000Z
exploit/pytoolkit/mini-crypto.py
5l1v3r1/saydog-framework
92d6d2a80958ecf5724c95d1d3c76d8ca95db8d6
[ "Xnet", "TCP-wrappers", "X11" ]
null
null
null
exploit/pytoolkit/mini-crypto.py
5l1v3r1/saydog-framework
92d6d2a80958ecf5724c95d1d3c76d8ca95db8d6
[ "Xnet", "TCP-wrappers", "X11" ]
1
2022-03-19T06:40:56.000Z
2022-03-19T06:40:56.000Z
import os,sys import time import socket u='\033[4m' w='\x1b[00m' r='\x1b[91m' b='\x1b[36;1m' y='\x1b[33m' def infouser(): s =socket.socket(socket.AF_INET, socket.SOCK_DGRAM) s.connect(('8.8.8.8',80)) ipaddress=(s.getsockname()[(0)]) print('Your ip address: '+ipaddress) s.close...
48.868132
299
0.337531
370
4,447
4.045946
0.337838
0.021376
0.02338
0.034736
0.08016
0.032064
0.032064
0
0
0
0
0.018613
0.516753
4,447
91
300
48.868132
0.67799
0
0
0.105882
0
0
0.288444
0.01214
0
0
0
0
0
1
0.047059
false
0.094118
0.035294
0
0.082353
0.423529
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
1
0
3
8f6b6cc5387a404f72fe05b8f7a4094e32b9fa11
214
py
Python
uw_hrp/util/__init__.py
uw-it-aca/uw-restclients-hrp
460a2ad77263fd06451eb112795666fa0320544d
[ "Apache-2.0" ]
null
null
null
uw_hrp/util/__init__.py
uw-it-aca/uw-restclients-hrp
460a2ad77263fd06451eb112795666fa0320544d
[ "Apache-2.0" ]
10
2017-06-20T21:54:51.000Z
2021-05-25T15:34:32.000Z
uw_hrp/util/__init__.py
uw-it-aca/uw-restclients-hrp
460a2ad77263fd06451eb112795666fa0320544d
[ "Apache-2.0" ]
null
null
null
# Copyright 2021 UW-IT, University of Washington # SPDX-License-Identifier: Apache-2.0 from restclients_core.util.decorators import use_mock from uw_hrp.dao import HRP_DAO fdao_hrp_override = use_mock(HRP_DAO())
26.75
53
0.813084
35
214
4.742857
0.714286
0.108434
0
0
0
0
0
0
0
0
0
0.031414
0.107477
214
7
54
30.571429
0.837696
0.383178
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0.666667
0
0.666667
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
1
0
0
3
8f6c62dfd1c1271088f5aefc4f0a40278a1ba8f9
1,549
py
Python
sub3-set.py
netlabcode/upgit
0030d7b0355aa26cdc1bfb5414fca77d33245add
[ "MIT" ]
null
null
null
sub3-set.py
netlabcode/upgit
0030d7b0355aa26cdc1bfb5414fca77d33245add
[ "MIT" ]
null
null
null
sub3-set.py
netlabcode/upgit
0030d7b0355aa26cdc1bfb5414fca77d33245add
[ "MIT" ]
null
null
null
from opcua import Client from opcua import ua import time url = "opc.tcp://127.0.0.1:8899/freeopcua/server/" client = Client(url) client.connect() print("client connected") val0 = client.get_node("ns=2;i=2") val1 = client.get_node("ns=2;i=3") val2 = client.get_node("ns=2;i=4") val3 = client.get_node("...
28.685185
51
0.656553
310
1,549
3.167742
0.309677
0.311609
0.450102
0.519348
0.588595
0.588595
0
0
0
0
0
0.123348
0.120723
1,549
53
52
29.226415
0.597651
0
0
0
0
0
0.239465
0.028094
0
0
0
0
0
1
0
false
0
0.068182
0
0.068182
0.045455
0
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
3
8f7dd5f6a86d2d56ee13ffb8e61ddc1b9c5cc41a
3,326
py
Python
tests/tests.py
pmla/best-subset-selection
1c96aad39ecfd4e4166a7a13a7561b743d469483
[ "MIT" ]
null
null
null
tests/tests.py
pmla/best-subset-selection
1c96aad39ecfd4e4166a7a13a7561b743d469483
[ "MIT" ]
null
null
null
tests/tests.py
pmla/best-subset-selection
1c96aad39ecfd4e4166a7a13a7561b743d469483
[ "MIT" ]
null
null
null
import pytest from numpy.testing import assert_allclose import numpy as np import bestsubset TOL = 1E-10 @pytest.mark.parametrize("k", range(1, 5)) def test_rmse_overdetermined(k): m, n = 20, 10 rng = np.random.RandomState(0) A = rng.uniform(size=(m, n)) b = rng.uniform(size=m) params = {'Output...
34.28866
77
0.610343
441
3,326
4.519274
0.174603
0.010035
0.070246
0.075263
0.704967
0.704967
0.704967
0.673859
0.673859
0.673859
0
0.02498
0.241732
3,326
96
78
34.645833
0.765266
0
0
0.594937
0
0
0.052315
0
0
0
0
0
0.101266
1
0.063291
false
0
0.050633
0
0.113924
0
0
0
0
null
0
0
0
0
1
1
0
0
1
0
0
0
0
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
3
56ab1612e3852600a2f1db2c5f37c09daf626ed1
84
py
Python
yc168/536.py
c-yan/yukicoder
cdbbd65402177225dd989df7fe01f67908484a69
[ "MIT" ]
null
null
null
yc168/536.py
c-yan/yukicoder
cdbbd65402177225dd989df7fe01f67908484a69
[ "MIT" ]
null
null
null
yc168/536.py
c-yan/yukicoder
cdbbd65402177225dd989df7fe01f67908484a69
[ "MIT" ]
null
null
null
S = input() if S[-2:] == 'ai': print(S[:-2] + 'AI') else: print(S + '-AI')
12
24
0.392857
14
84
2.357143
0.5
0.121212
0.242424
0
0
0
0
0
0
0
0
0.032787
0.27381
84
6
25
14
0.508197
0
0
0
0
0
0.083333
0
0
0
0
0
0
1
0
false
0
0
0
0
0.4
1
0
0
null
0
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
0
0
0
0
0
3
56c6c63b5744a48be637c135dd4830388e2c9be8
265
py
Python
pagetools/widgets/settings.py
theithec/pagetools
f5fba7213864555275bddcc1882122f3be843f19
[ "MIT" ]
null
null
null
pagetools/widgets/settings.py
theithec/pagetools
f5fba7213864555275bddcc1882122f3be843f19
[ "MIT" ]
14
2020-02-23T12:15:49.000Z
2022-02-13T14:07:27.000Z
pagetools/widgets/settings.py
theithec/django-pagetools
8fb73285acee8c8162329fc2895a3816fcb40165
[ "MIT" ]
null
null
null
from django.conf import settings def _(_x): return _x AREAS = getattr( settings, "PT_AREAS", ( ( "sidebar", _("Sidebar"), ), ), ) TEMPLATETAG_WIDGETS = getattr(settings, "PT_TEMPLATETAG_WIDGETS", {})
13.25
69
0.532075
23
265
5.782609
0.608696
0.225564
0.255639
0
0
0
0
0
0
0
0
0
0.339623
265
19
70
13.947368
0.76
0
0
0.142857
0
0
0.166038
0.083019
0
0
0
0
0
1
0.071429
false
0
0.071429
0.071429
0.214286
0
1
0
0
null
1
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
3
56f5c6f9069cf047331b14ee272a2a56fb4c5787
189
py
Python
Writingtextfiles.py
joaovitorle/AnotacoesCoursera2
b0b033feca28bf207e5edcaef5667c7e54b7bdb6
[ "MIT" ]
null
null
null
Writingtextfiles.py
joaovitorle/AnotacoesCoursera2
b0b033feca28bf207e5edcaef5667c7e54b7bdb6
[ "MIT" ]
null
null
null
Writingtextfiles.py
joaovitorle/AnotacoesCoursera2
b0b033feca28bf207e5edcaef5667c7e54b7bdb6
[ "MIT" ]
null
null
null
file_obj = open("squares.txt", "w") #Usar w de writing for number in range (13): square = number * number file_obj.write(str(square)) file_obj.write('\n') file_obj.close()
23.625
54
0.645503
30
189
3.933333
0.633333
0.237288
0.20339
0
0
0
0
0
0
0
0
0.013245
0.201058
189
7
55
27
0.768212
0.089947
0
0
0
0
0.081871
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
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
0
0
0
0
0
3
56f8088aa803256098f446c8ea0f2c3b398012b4
195
py
Python
Day-3-assign-1.py
aveline2703/aveline-letsupgrade-python
bfe77f094c4497579348dc4e601b8c0b80fb4f22
[ "MIT" ]
null
null
null
Day-3-assign-1.py
aveline2703/aveline-letsupgrade-python
bfe77f094c4497579348dc4e601b8c0b80fb4f22
[ "MIT" ]
null
null
null
Day-3-assign-1.py
aveline2703/aveline-letsupgrade-python
bfe77f094c4497579348dc4e601b8c0b80fb4f22
[ "MIT" ]
null
null
null
altitude = int(input("Enter Altitude in ft:")) if altitude<=1000: print("Safe to land") elif altitude< 5000: print("Bring down to 1000") else: print("Turn Around and Try Again")
27.857143
47
0.65641
29
195
4.413793
0.758621
0
0
0
0
0
0
0
0
0
0
0.077922
0.210256
195
7
48
27.857143
0.753247
0
0
0
0
0
0.4
0
0
0
0
0
0
1
0
false
0
0
0
0
0.428571
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
0
0
0
0
0
1
0
3
71121ee9f9545cfc64382bb5d9e90a224d490f80
23
py
Python
app/tasks/templatetags/__init__.py
rikkt0r/django-organiser
d7ce51eb2db82af01d3df9e3e019752e11d5eefc
[ "MIT" ]
null
null
null
app/tasks/templatetags/__init__.py
rikkt0r/django-organiser
d7ce51eb2db82af01d3df9e3e019752e11d5eefc
[ "MIT" ]
null
null
null
app/tasks/templatetags/__init__.py
rikkt0r/django-organiser
d7ce51eb2db82af01d3df9e3e019752e11d5eefc
[ "MIT" ]
null
null
null
__author__ = 'rikkt0r'
11.5
22
0.73913
2
23
6.5
1
0
0
0
0
0
0
0
0
0
0
0.05
0.130435
23
1
23
23
0.6
0
0
0
0
0
0.304348
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
714359fc2a99d1682177e281f66003456e01b272
1,165
py
Python
mason/util/yaml.py
kyprifog/mason
bf45672124ef841bc16216c293034f4ccc506621
[ "Apache-2.0" ]
4
2021-04-12T17:49:34.000Z
2022-01-23T19:54:29.000Z
mason/util/yaml.py
kyprifog/mason
bf45672124ef841bc16216c293034f4ccc506621
[ "Apache-2.0" ]
24
2021-04-30T18:40:25.000Z
2021-05-12T20:52:06.000Z
mason/util/yaml.py
kyprifog/mason
bf45672124ef841bc16216c293034f4ccc506621
[ "Apache-2.0" ]
3
2021-04-12T19:40:43.000Z
2021-09-07T21:56:36.000Z
from typing import Union import yaml from mason.util.logger import logger def parse_yaml(file: str): try: with open(file, 'r') as stream: try: yaml_load: dict = yaml.safe_load(stream) if type(yaml_load).__name__ == "dict": return yaml_load ...
34.264706
73
0.543348
143
1,165
4.27972
0.27972
0.104575
0.084967
0.111111
0.787582
0.767974
0.732026
0.643791
0.643791
0.643791
0
0
0.353648
1,165
33
74
35.30303
0.812749
0
0
0.62069
0
0
0.180412
0
0
0
0
0
0
1
0.068966
false
0
0.103448
0
0.344828
0
0
0
0
null
0
0
0
0
1
1
0
0
1
0
0
0
0
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
3
71443ab49f58e6a255a4ece9bab437a627123cba
86
py
Python
testbed.py
haydenhitt1094/SL
a4f5752a2a7b556d8b1be78ab12c0e85d8e87175
[ "MIT" ]
null
null
null
testbed.py
haydenhitt1094/SL
a4f5752a2a7b556d8b1be78ab12c0e85d8e87175
[ "MIT" ]
null
null
null
testbed.py
haydenhitt1094/SL
a4f5752a2a7b556d8b1be78ab12c0e85d8e87175
[ "MIT" ]
null
null
null
import Register sample = Register('read','01','sda12','sample.txt') sample.postStream
21.5
51
0.744186
11
86
5.818182
0.727273
0
0
0
0
0
0
0
0
0
0
0.05
0.069767
86
4
52
21.5
0.75
0
0
0
0
0
0.241379
0
0
0
0
0
0
1
0
false
0
0.333333
0
0.333333
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
0
0
1
0
0
0
0
3
8535e85eeac180ef0a0d9c588418cd5d4f41e614
201
py
Python
portal/database.py
ivan-c/truenth-portal
0b9d39ae43f42ea3413ed9634f295f5d856cbc77
[ "BSD-3-Clause" ]
1
2019-03-11T12:25:20.000Z
2019-03-11T12:25:20.000Z
portal/database.py
pep8speaks/true_nth_usa_portal
31ff755b0cfe61ab908e2a399e3c41ef17ca8c16
[ "BSD-3-Clause" ]
123
2019-04-04T06:59:59.000Z
2021-08-02T07:46:21.000Z
portal/database.py
pep8speaks/true_nth_usa_portal
31ff755b0cfe61ab908e2a399e3c41ef17ca8c16
[ "BSD-3-Clause" ]
null
null
null
"""Database inclusion hook - keep minimal to avoid cyclic dependencies""" # SQLAlchemy provides the database object relational mapping (ORM) from flask_sqlalchemy import SQLAlchemy db = SQLAlchemy()
28.714286
73
0.79602
24
201
6.625
0.833333
0
0
0
0
0
0
0
0
0
0
0
0.139303
201
6
74
33.5
0.919075
0.661692
0
0
0
0
0
0
0
0
0
0
0
1
0
false
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
0
0
1
0
0
0
0
3
853dfdfe445efd21ec9cd8b26b309f9305fd7630
331
py
Python
Exercices/Secao05/exercicio15.py
Guilt-tech/PythonExercices
e59bffae997a1974d3e3cdcfff7700afbed65e6e
[ "MIT" ]
null
null
null
Exercices/Secao05/exercicio15.py
Guilt-tech/PythonExercices
e59bffae997a1974d3e3cdcfff7700afbed65e6e
[ "MIT" ]
null
null
null
Exercices/Secao05/exercicio15.py
Guilt-tech/PythonExercices
e59bffae997a1974d3e3cdcfff7700afbed65e6e
[ "MIT" ]
null
null
null
print('Digite um número entre 1 e 7, para ver o dia da semana') diaSemana = ['1-Domingo', '2-Segunda-feira', '3-Terça-feira', '4-Quarta-feira', '5-Quinta-feira', '6-Sexta-feira', '7-Sábado'] dia = int(input('Número: ')) if 1 < dia < 7: print('Dia da semana inválido') else: print(f'O dia da semana é: {diaSemana[...
47.285714
126
0.643505
58
331
3.672414
0.603448
0.070423
0.15493
0.112676
0
0
0
0
0
0
0
0.043011
0.1571
331
7
127
47.285714
0.72043
0
0
0
0
0
0.629518
0
0
0
0
0
0
1
0
false
0
0
0
0
0.428571
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
3
85677602154da637c95a3169e8487ea800c11114
584
py
Python
Python/leetcode/PopulatingNextRightPointersInEachNodeIi.py
darrencheng0817/AlgorithmLearning
aec1ddd0c51b619c1bae1e05f940d9ed587aa82f
[ "MIT" ]
2
2015-12-02T06:44:01.000Z
2016-05-04T21:40:54.000Z
Python/leetcode/PopulatingNextRightPointersInEachNodeIi.py
darrencheng0817/AlgorithmLearning
aec1ddd0c51b619c1bae1e05f940d9ed587aa82f
[ "MIT" ]
null
null
null
Python/leetcode/PopulatingNextRightPointersInEachNodeIi.py
darrencheng0817/AlgorithmLearning
aec1ddd0c51b619c1bae1e05f940d9ed587aa82f
[ "MIT" ]
null
null
null
''' Created on 1.12.2016 @author: Darren '''''' Follow up for problem "Populating Next Right Pointers in Each Node". What if the given tree could be any binary tree? Would your previous solution still work? Note: You may only use constant extra space. For example, Given the following binary tre...
17.176471
91
0.506849
73
584
4.054795
0.753425
0.067568
0.02027
0
0
0
0
0
0
0
0
0.054913
0.407534
584
33
92
17.69697
0.800578
0.902397
0
0.3
0
0
0.986166
0
0
0
0
0
0
1
0
true
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
1
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
3
8592f2982e0a689c114f3d953dc1f5c6a66e5ad4
251
py
Python
py_grpc_profile/adapter/interfaces.py
fossabot/py-grpc-profile
c68540891efb06b3bb8d6beb54238bd9e03c40c8
[ "Apache-2.0" ]
null
null
null
py_grpc_profile/adapter/interfaces.py
fossabot/py-grpc-profile
c68540891efb06b3bb8d6beb54238bd9e03c40c8
[ "Apache-2.0" ]
2
2021-03-23T23:49:14.000Z
2022-02-11T03:38:44.000Z
py_grpc_profile/adapter/interfaces.py
fossabot/py-grpc-profile
c68540891efb06b3bb8d6beb54238bd9e03c40c8
[ "Apache-2.0" ]
1
2021-03-23T23:47:17.000Z
2021-03-23T23:47:17.000Z
from abc import ABCMeta, abstractmethod from typing import Callable, Dict class Adapter(metaclass=ABCMeta): @abstractmethod def run( self, behavior: Callable, request_or_iterator, servicer_context, metadata: Dict ): pass
22.818182
87
0.721116
28
251
6.357143
0.785714
0.235955
0
0
0
0
0
0
0
0
0
0
0.215139
251
10
88
25.1
0.903553
0
0
0
0
0
0
0
0
0
0
0
0
1
0.125
false
0.125
0.25
0
0.5
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
3
8593e1b548b8ac15c04a84dfed9e1bf82bb7a2ba
37,733
py
Python
5 - Computer Vision/image_detection_with_pretrained_model.py
danielgarm/FreeCodeCamp-Machine-Learning
c0f7e808dba5a87cada8af1f5623283ac77c96a3
[ "MIT" ]
null
null
null
5 - Computer Vision/image_detection_with_pretrained_model.py
danielgarm/FreeCodeCamp-Machine-Learning
c0f7e808dba5a87cada8af1f5623283ac77c96a3
[ "MIT" ]
null
null
null
5 - Computer Vision/image_detection_with_pretrained_model.py
danielgarm/FreeCodeCamp-Machine-Learning
c0f7e808dba5a87cada8af1f5623283ac77c96a3
[ "MIT" ]
null
null
null
# Based on https://www.tensorflow.org/tutorials/images/transfer_learning # Imports import os import numpy as np import matplotlib.pyplot as plt import tensorflow as tf keras = tf.keras import tensorflow_datasets as tfds tfds.disable_progress_bar() # Split the data manually into 80% training, 10% testing, 10% validat...
79.605485
118
0.740519
3,095
37,733
3.750889
0.108562
0.102334
0.091653
0.041089
0.626238
0.426221
0.367474
0.348264
0.213024
0.008269
0
0.077647
0.186654
37,733
473
119
79.773784
0.300619
0.913736
0
0.083333
0
0
0.045817
0
0
0
0
0
0
0
null
null
0.013889
0.069444
null
null
0.055556
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
3
85951ba36e09f88d31b1e1cc190d2d98830b2e80
3,673
py
Python
lmsapi/api_customer/migrations/0002_assignments_tariffs.py
orkasolutions-develop/lms-api-new
c9e5a2d98874a4a7415002397048258526a94644
[ "MIT" ]
null
null
null
lmsapi/api_customer/migrations/0002_assignments_tariffs.py
orkasolutions-develop/lms-api-new
c9e5a2d98874a4a7415002397048258526a94644
[ "MIT" ]
null
null
null
lmsapi/api_customer/migrations/0002_assignments_tariffs.py
orkasolutions-develop/lms-api-new
c9e5a2d98874a4a7415002397048258526a94644
[ "MIT" ]
null
null
null
# Generated by Django 3.0.7 on 2020-09-27 21:32 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('api_customer', '0001_initial'), ] operations = [ migrations.CreateModel( name='Assignments', fields=[ ...
48.328947
114
0.54397
327
3,673
5.990826
0.284404
0.321593
0.132721
0.173558
0.565595
0.53803
0.53803
0.36294
0.130679
0.080653
0
0.011328
0.303022
3,673
75
115
48.973333
0.753906
0.012252
0
0.202899
1
0
0.126862
0
0
0
0
0
0
1
0
false
0
0.014493
0
0.057971
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
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
3
85bdf1db16ddb60fd28da220ae8c5e1416e171ee
3,128
py
Python
Outcome 4 - Object-Oriented Programming/types_buildings.py
brotich/andela_bootcamp_X
19fc5bb66d3c930d4e6b9afeb45abc00bbc4c2ea
[ "MIT" ]
null
null
null
Outcome 4 - Object-Oriented Programming/types_buildings.py
brotich/andela_bootcamp_X
19fc5bb66d3c930d4e6b9afeb45abc00bbc4c2ea
[ "MIT" ]
null
null
null
Outcome 4 - Object-Oriented Programming/types_buildings.py
brotich/andela_bootcamp_X
19fc5bb66d3c930d4e6b9afeb45abc00bbc4c2ea
[ "MIT" ]
null
null
null
class BaseBuilding(object): """ boilder-plate class used to initiale the various building in municipality """ def __init__(self, location=None, land_rate=500): if not isinstance(location, str) and location is not None: raise TypeError("Location should be of type str") ...
29.233645
76
0.660806
405
3,128
4.767901
0.190123
0.09943
0.054376
0.043501
0.555153
0.381668
0.273433
0.199896
0.159503
0.159503
0
0.005184
0.25991
3,128
106
77
29.509434
0.828942
0.116688
0
0.413793
0
0
0.101208
0
0
0
0
0
0
1
0.310345
false
0
0
0.12069
0.517241
0
0
0
0
null
0
0
0
0
0
0
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
1
1
0
0
3
a42969277ce4907af7db6761da06e07ccca00763
150
py
Python
tests/conftest.py
Gerschtli/betting-game-backend
4fb38e5316ea6509b4468f8ca11de2f899366abb
[ "MIT" ]
null
null
null
tests/conftest.py
Gerschtli/betting-game-backend
4fb38e5316ea6509b4468f8ca11de2f899366abb
[ "MIT" ]
1
2021-11-04T16:42:26.000Z
2021-11-04T16:42:26.000Z
tests/conftest.py
Gerschtli/betting-game-backend
4fb38e5316ea6509b4468f8ca11de2f899366abb
[ "MIT" ]
null
null
null
import pytest from flask import Flask @pytest.fixture def app() -> Flask: app = Flask(__name__) app.config['TESTING'] = True return app
15
32
0.673333
20
150
4.85
0.6
0.164948
0
0
0
0
0
0
0
0
0
0
0.22
150
9
33
16.666667
0.82906
0
0
0
0
0
0.046667
0
0
0
0
0
0
1
0.142857
false
0
0.285714
0
0.571429
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
0
0
0
0
1
0
0
3
a430006d7b4ebe6847a59aaa448ca6d66c881c23
178
py
Python
src/__init__.py
nchabalier/picture-to-GPS
13b95dea9550bb7d80ff90ef36bdb449bbc9168a
[ "MIT" ]
null
null
null
src/__init__.py
nchabalier/picture-to-GPS
13b95dea9550bb7d80ff90ef36bdb449bbc9168a
[ "MIT" ]
null
null
null
src/__init__.py
nchabalier/picture-to-GPS
13b95dea9550bb7d80ff90ef36bdb449bbc9168a
[ "MIT" ]
1
2021-01-27T11:16:43.000Z
2021-01-27T11:16:43.000Z
""" Extract GPS points from a route map picture with python/OpenCV """ from .picture_to_gps import * gpx_extractor = GPXExtractor("example/visugpx.png") gpx_extractor.convert()
22.25
62
0.775281
25
178
5.36
0.8
0.179104
0
0
0
0
0
0
0
0
0
0
0.117978
178
7
63
25.428571
0.853503
0.348315
0
0
0
0
0.175926
0
0
0
0
0
0
1
0
false
0
0.333333
0
0.333333
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
0
0
1
0
0
0
0
3
a431aa38ee8a06207019b7518a1c3ca69913e615
113
py
Python
WHILE.py
hejeffery/Python-Basic-Demo
48a8b246dbdee33ab7f8dba9002f1367dd749b76
[ "MIT" ]
1
2017-02-27T09:24:03.000Z
2017-02-27T09:24:03.000Z
WHILE.py
hejeffery/Python-Basic-Demo
48a8b246dbdee33ab7f8dba9002f1367dd749b76
[ "MIT" ]
null
null
null
WHILE.py
hejeffery/Python-Basic-Demo
48a8b246dbdee33ab7f8dba9002f1367dd749b76
[ "MIT" ]
null
null
null
# coding=utf-8 # while循环语句 a = 0 while a < 10: print "a = %d" % a a += 1 else: print "a > 10了,循环结束"
11.3
24
0.495575
20
113
2.8
0.7
0.214286
0
0
0
0
0
0
0
0
0
0.093333
0.336283
113
10
24
11.3
0.653333
0.19469
0
0
0
0
0.202247
0
0
0
0
0
0
0
null
null
0
0
null
null
0.333333
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
3
a44dde873ff20e0cc48013074466ec24dbf8e5e6
4,589
py
Python
WBT/PRE/testing.py
Hornbydd/WhiteboxTools-ArcGIS
2d0de83fc915e54bc8c2f6ca0dd39ca28e578112
[ "MIT" ]
157
2019-02-12T16:24:27.000Z
2022-03-26T02:46:38.000Z
WBT/PRE/testing.py
Hornbydd/WhiteboxTools-ArcGIS
2d0de83fc915e54bc8c2f6ca0dd39ca28e578112
[ "MIT" ]
22
2019-02-13T15:03:59.000Z
2022-03-11T21:17:05.000Z
WBT/PRE/testing.py
Hornbydd/WhiteboxTools-ArcGIS
2d0de83fc915e54bc8c2f6ca0dd39ca28e578112
[ "MIT" ]
42
2019-02-12T20:22:48.000Z
2022-03-25T17:37:01.000Z
import whitebox import ast import json import os import sys wbt = whitebox.WhiteboxTools() # wbt.set_verbose_mode(True) # print(wbt.version()) # print(wbt.help()) # tools = wbt.list_tools(['dem']) # for index, tool in enumerate(tools): # print("{}. {}: {}".format(index, tool, tools[tool])) # def get_tool_para...
29.044304
193
0.628895
570
4,589
4.880702
0.226316
0.025881
0.026959
0.032351
0.22394
0.133717
0.081955
0.081955
0.081955
0.081955
0
0.005716
0.19939
4,589
158
194
29.044304
0.751497
0.922205
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0.833333
0
0.833333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
1
0
0
3
a47b663f38bf603be81cb2d99ccfdaa4d1a9a5d3
1,460
py
Python
packages/w3af/w3af/core/controllers/core_helpers/strategy_observers/strategy_observer.py
ZooAtmosphereGroup/HelloPackages
0ccffd33bf927b13d28c8f715ed35004c33465d9
[ "Apache-2.0" ]
3
2019-04-09T22:59:33.000Z
2019-06-14T09:23:24.000Z
tools/w3af/w3af/core/controllers/core_helpers/strategy_observers/strategy_observer.py
sravani-m/Web-Application-Security-Framework
d9f71538f5cba6fe1d8eabcb26c557565472f6a6
[ "MIT" ]
null
null
null
tools/w3af/w3af/core/controllers/core_helpers/strategy_observers/strategy_observer.py
sravani-m/Web-Application-Security-Framework
d9f71538f5cba6fe1d8eabcb26c557565472f6a6
[ "MIT" ]
null
null
null
""" strategy_observer.py Copyright 2015 Andres Riancho This file is part of w3af, http://w3af.org/ . w3af is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation version 2 of the License. w3af is distributed in the hop...
29.2
79
0.716438
211
1,460
4.914692
0.582938
0.027001
0.037608
0.054966
0.165863
0.054002
0
0
0
0
0
0.018634
0.228082
1,460
49
80
29.795918
0.901508
0.70137
0
0.454545
0
0
0
0
0
0
0
0
0
1
0.454545
false
0.454545
0
0
0.545455
0
0
0
0
null
0
0
0
0
0
0
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
a495b8c5d306dee775c3a4fd9a5788870df43159
304
py
Python
learnml/linear_model/__init__.py
Vipul97/learnml
e1ca5b58fc0118ab8a65e35c5bbf9aac2fb2bc17
[ "MIT" ]
3
2019-11-22T22:12:52.000Z
2021-04-02T19:40:20.000Z
learnml/linear_model/__init__.py
Vipul97/learnml
e1ca5b58fc0118ab8a65e35c5bbf9aac2fb2bc17
[ "MIT" ]
null
null
null
learnml/linear_model/__init__.py
Vipul97/learnml
e1ca5b58fc0118ab8a65e35c5bbf9aac2fb2bc17
[ "MIT" ]
1
2021-10-05T23:24:03.000Z
2021-10-05T23:24:03.000Z
from ._base import LinearRegression from ._stochastic_gradient import SGDClassifier, SGDRegressor from ._ridge import Ridge from ._perceptron import Perceptron __all__ = ['LinearRegression', 'Perceptron', 'Ridge', 'SGDClassifier', 'SGDRegressor' ]
25.333333
61
0.661184
24
304
8
0.458333
0.260417
0
0
0
0
0
0
0
0
0
0
0.266447
304
11
62
27.636364
0.860987
0
0
0
0
0
0.184211
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
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
3
8eff7acca7f49a1befe202633f83f69a24dff899
214
py
Python
Sandwich.py
lovexiaov/SandwichApp
f834f626ef087e0e1eaeed5be6c8740b65153308
[ "Apache-2.0" ]
3
2017-01-23T08:11:15.000Z
2019-12-31T04:06:45.000Z
Sandwich.py
lovexiaov/SandwichApp
f834f626ef087e0e1eaeed5be6c8740b65153308
[ "Apache-2.0" ]
null
null
null
Sandwich.py
lovexiaov/SandwichApp
f834f626ef087e0e1eaeed5be6c8740b65153308
[ "Apache-2.0" ]
3
2018-01-16T14:57:57.000Z
2021-12-14T16:06:27.000Z
import sys if sys.version_info < (3, 0): import Tkinter as tk else: import tkinter as tk root = tk.Tk() root.title("Sandwich") tk.Button(root, text='Make me a sandwich').pack() tk.mainloop()
16.461538
49
0.635514
34
214
3.970588
0.617647
0.192593
0.222222
0.251852
0
0
0
0
0
0
0
0.012121
0.228972
214
13
50
16.461538
0.806061
0
0
0
0
0
0.12093
0
0
0
0
0
0
1
0
false
0
0.333333
0
0.333333
0
0
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
3
f11170dbe73fc0163570a2adf101fd78764762ff
291
py
Python
str_format.py
Golubkin/2019-fall-polytech-cs
46632805874fee98f8e0b156332d252c32784c04
[ "MIT" ]
null
null
null
str_format.py
Golubkin/2019-fall-polytech-cs
46632805874fee98f8e0b156332d252c32784c04
[ "MIT" ]
null
null
null
str_format.py
Golubkin/2019-fall-polytech-cs
46632805874fee98f8e0b156332d252c32784c04
[ "MIT" ]
null
null
null
age = 17 name = 'Nicolay' print('Возраст {0} - - {1} лет.'.format(name, age)) print('Почему {0} забавляется с этим Python?'.format(name)) # второй способ age =100 name = 'Nicolay' print('Возраст {} - - {} лет.'.format(name,age)) print('Почему {} забавляется с этим Python?'.format(name))
22.384615
59
0.652921
41
291
4.634146
0.439024
0.210526
0.168421
0.242105
0.621053
0.621053
0
0
0
0
0
0.032129
0.14433
291
12
60
24.25
0.730924
0.044674
0
0.25
0
0
0.481884
0
0
0
0
0
0
1
0
false
0
0
0
0
0.5
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
0
0
0
0
0
0
1
0
3
f1639cc09de5718526df3c8641e5c5a33c9c283a
682
py
Python
brandi/test.py
TheSimonSays/Brandi
2512a9bb53c4a2d1d467fa83e0478d7ad7f61f72
[ "MIT" ]
1
2021-10-17T20:21:22.000Z
2021-10-17T20:21:22.000Z
brandi/test.py
TheSimonSays/Brandi
2512a9bb53c4a2d1d467fa83e0478d7ad7f61f72
[ "MIT" ]
null
null
null
brandi/test.py
TheSimonSays/Brandi
2512a9bb53c4a2d1d467fa83e0478d7ad7f61f72
[ "MIT" ]
null
null
null
import typing as t from gunicorn.app.wsgiapp import WSGIApplication from brandi.brandi import Brandi class TestBrandiApp(WSGIApplication): def __init__(self, app: Brandi, options: t.Optional[t.Dict[str, t.Any]] = None) -> None: self.app = app self.options = options or {} super().__init__()...
28.416667
92
0.611437
91
682
4.483516
0.43956
0.051471
0.053922
0.063725
0
0
0
0
0
0
0
0
0.280059
682
24
93
28.416667
0.830957
0
0
0
0
0
0
0
0
0
0
0
0
1
0.210526
false
0
0.157895
0.105263
0.526316
0
0
0
0
null
0
0
0
0
0
0
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
1
1
0
0
3
f165988f09b78bab875250327335879a337d6cf9
605
py
Python
stack/impleQueue.py
Crystal-girl/Algorithm-interview-lecture-40
a9619217656d207649788d8e7e24b1a5b2e28c7d
[ "MIT" ]
null
null
null
stack/impleQueue.py
Crystal-girl/Algorithm-interview-lecture-40
a9619217656d207649788d8e7e24b1a5b2e28c7d
[ "MIT" ]
null
null
null
stack/impleQueue.py
Crystal-girl/Algorithm-interview-lecture-40
a9619217656d207649788d8e7e24b1a5b2e28c7d
[ "MIT" ]
null
null
null
""" leetcode 232 Stack implementation Queue """ def __init__(self): self.instack = [] self.outstack = [] def push(self, x: int) -> None: self.instack.append(x) def pop(self) -> int: if not self.outstack: while self.instack: self.outstack.append(self.instack.pop()) return self....
20.862069
52
0.624793
80
605
4.675
0.3375
0.256684
0.120321
0.184492
0.481283
0.481283
0.481283
0.481283
0.481283
0.481283
0
0.008772
0.246281
605
28
53
21.607143
0.811404
0.064463
0
0.315789
0
0
0
0
0
0
0
0
0
1
0.263158
false
0
0
0
0.473684
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
0
0
0
0
0
0
3