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
4e96757c37df00a4561207275579e02e7d774aeb
3,836
py
Python
molly/routing/providers/cyclestreets.py
mollyproject/mollyproject
3247c6bac3f39ce8d275d19aa410b30c6284b8a7
[ "Apache-2.0" ]
7
2015-05-16T13:27:21.000Z
2019-08-06T11:09:24.000Z
molly/routing/providers/cyclestreets.py
mollyproject/mollyproject
3247c6bac3f39ce8d275d19aa410b30c6284b8a7
[ "Apache-2.0" ]
null
null
null
molly/routing/providers/cyclestreets.py
mollyproject/mollyproject
3247c6bac3f39ce8d275d19aa410b30c6284b8a7
[ "Apache-2.0" ]
4
2015-11-27T13:36:36.000Z
2021-03-09T17:55:53.000Z
from urllib import urlencode from urllib2 import urlopen import simplejson from django.conf import settings from django.contrib.gis.geos import Point, LineString from django.utils.text import capfirst from django.utils.translation import ugettext as _ from molly.apps.places.models import bearing_to_compass from molly...
40.808511
116
0.569343
420
3,836
5.145238
0.414286
0.01851
0.011106
0.024988
0.058306
0.058306
0.041647
0.041647
0.041647
0.041647
0
0.003037
0.313347
3,836
94
117
40.808511
0.817388
0.25365
0
0.068966
0
0
0.217564
0
0
0
0
0
0
1
0.017241
false
0.034483
0.172414
0
0.224138
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4e9c35d7a10e21f257f971c50e260fb397455462
5,829
py
Python
web/impact/impact/tests/api_test_case.py
masschallenge/impact-api
81075ced8fcc95de9390dd83c15e523e67fc48c0
[ "MIT" ]
5
2017-10-19T15:11:52.000Z
2020-03-08T07:16:21.000Z
web/impact/impact/tests/api_test_case.py
masschallenge/impact-api
81075ced8fcc95de9390dd83c15e523e67fc48c0
[ "MIT" ]
182
2017-06-21T19:32:13.000Z
2021-03-22T13:38:16.000Z
web/impact/impact/tests/api_test_case.py
masschallenge/impact-api
81075ced8fcc95de9390dd83c15e523e67fc48c0
[ "MIT" ]
1
2018-06-23T11:53:18.000Z
2018-06-23T11:53:18.000Z
# MIT License # Copyright (c) 2017 MassChallenge, Inc. import json from oauth2_provider.models import get_application_model from rest_framework.test import APIClient from test_plus.test import TestCase from django.core import mail from django.conf import settings from django.contrib.auth.models import Group from djan...
36.892405
79
0.621891
660
5,829
5.315152
0.293939
0.020525
0.019954
0.018244
0.116591
0.083808
0.083808
0.058153
0.058153
0.058153
0
0.004312
0.283925
5,829
157
80
37.127389
0.836128
0.055584
0
0.078125
0
0
0.086399
0.02819
0
0
0
0
0.125
1
0.09375
false
0.03125
0.078125
0.007813
0.25
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4e9d488202a407ec4de3fade6bfb2e435ba6bb6b
607
py
Python
pydis_site/apps/api/models/bot/aoc_link.py
Robin5605/site
81aa42aa748cb228d7a09e6cf6b211484b654496
[ "MIT" ]
13
2018-02-03T22:57:41.000Z
2018-05-17T07:38:36.000Z
pydis_site/apps/api/models/bot/aoc_link.py
Robin5605/site
81aa42aa748cb228d7a09e6cf6b211484b654496
[ "MIT" ]
61
2018-02-07T21:34:39.000Z
2018-06-05T16:15:28.000Z
pydis_site/apps/api/models/bot/aoc_link.py
Robin5605/site
81aa42aa748cb228d7a09e6cf6b211484b654496
[ "MIT" ]
16
2018-02-03T12:37:48.000Z
2018-06-02T17:14:55.000Z
from django.db import models from pydis_site.apps.api.models.bot.user import User from pydis_site.apps.api.models.mixins import ModelReprMixin class AocAccountLink(ModelReprMixin, models.Model): """An AoC account link for a Discord User.""" user = models.OneToOneField( User, on_delete=models...
27.590909
85
0.698517
80
607
5.2
0.6
0.043269
0.0625
0.081731
0.125
0.125
0
0
0
0
0
0.006369
0.224053
607
21
86
28.904762
0.876858
0.06425
0
0
0
0
0.202847
0
0
0
0
0
0
1
0
false
0
0.2
0
0.4
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4e9e7a69ae46de63cdefe46d785a1f6e94dac1e1
624
py
Python
parse.py
Mimori256/kdb-parse
45f7aca85fea9a7db612da86e9c31daaec52a580
[ "MIT" ]
3
2021-06-20T04:35:05.000Z
2021-10-05T06:30:09.000Z
parse.py
Mimori256/kdb-parse
45f7aca85fea9a7db612da86e9c31daaec52a580
[ "MIT" ]
2
2021-06-13T01:19:12.000Z
2022-03-23T04:27:05.000Z
parse.py
Mimori256/kdb-parse
45f7aca85fea9a7db612da86e9c31daaec52a580
[ "MIT" ]
null
null
null
import json #Parse csv to kdb.json with open("kdb.csv", "r", encoding="utf_8") as f: l=[] lines = f.readlines() # remove the header lines.pop(0) for line in lines: tmp1 = line.split('"') if tmp1[15] == "": tmp1[15] = " " if not "" in set([tmp1[1], tmp1[3], tmp...
20.8
85
0.540064
104
624
3.192308
0.461538
0.072289
0.090361
0.060241
0.204819
0.204819
0.204819
0.204819
0.204819
0.204819
0
0.094421
0.253205
624
29
86
21.517241
0.618026
0.0625
0
0
0
0
0.054889
0
0
0
0
0
0
1
0
false
0
0.052632
0
0.052632
0.052632
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4e9e92e9363d4d32c2609f2f36539abe9b27e294
2,600
py
Python
DLFrameWork/dataset/CIFAR_10.py
Mostafa-ashraf19/TourchPIP
a5090a0ec9cc81a91fe1fd6af41d77841361cec1
[ "MIT" ]
null
null
null
DLFrameWork/dataset/CIFAR_10.py
Mostafa-ashraf19/TourchPIP
a5090a0ec9cc81a91fe1fd6af41d77841361cec1
[ "MIT" ]
null
null
null
DLFrameWork/dataset/CIFAR_10.py
Mostafa-ashraf19/TourchPIP
a5090a0ec9cc81a91fe1fd6af41d77841361cec1
[ "MIT" ]
null
null
null
import os import shutil import tarfile import urllib.request import pandas as pd CIFAR10_URL = 'https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz' class CIFAR_10: def __init__(self, path, download=True, train=True): self.path = path self.download = download self.train = train ...
40.625
115
0.575385
350
2,600
4.117143
0.277143
0.099931
0.081194
0.093685
0.336572
0.299792
0.283137
0.244275
0.189452
0.129077
0
0.018848
0.265385
2,600
63
116
41.269841
0.735602
0
0
0
0
0.020408
0.166346
0.053523
0
0
0
0
0
1
0.102041
false
0
0.122449
0.020408
0.285714
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4ea10581f2a6479a2145424512ce3b01dbcd78d5
367
py
Python
Python_Codes_for_BJ/stage12 큐 사용하기/프린터 큐.py
ch96an/BaekJoonSolution
25594fda5ba1c0c4d26ff0828ec8dcf2f6572d33
[ "MIT" ]
null
null
null
Python_Codes_for_BJ/stage12 큐 사용하기/프린터 큐.py
ch96an/BaekJoonSolution
25594fda5ba1c0c4d26ff0828ec8dcf2f6572d33
[ "MIT" ]
null
null
null
Python_Codes_for_BJ/stage12 큐 사용하기/프린터 큐.py
ch96an/BaekJoonSolution
25594fda5ba1c0c4d26ff0828ec8dcf2f6572d33
[ "MIT" ]
null
null
null
def printer(n,k,order): lst = [(order[x],False if x==k else True) for x in range(len(order))] flag, i = True, 0 while flag: if lst[0][0] == max(lst,key=lambda x:x[0])[0]: flag = lst.pop(0)[1] i +=1 else: lst.append(lst.pop(0)) print(i) for _ in range(int(input())): n,k=map(int,input().split()) lst=l...
24.466667
70
0.59673
74
367
2.945946
0.418919
0.027523
0.082569
0.146789
0
0
0
0
0
0
0
0.029316
0.163488
367
15
71
24.466667
0.680782
0
0
0
0
0
0
0
0
0
0
0
0
1
0.071429
false
0
0
0
0.071429
0.214286
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4ea47fc79c5dcbec42ef206e57f938c9dff9b024
2,101
py
Python
zhang.py
AndrewQuijano/Treespace_REU_2017
e1aff2224ad5152d82f529675444146a70623bca
[ "MIT" ]
2
2021-06-07T12:22:46.000Z
2021-09-14T00:19:03.000Z
zhang.py
AndrewQuijano/Treespace_REU_2017
e1aff2224ad5152d82f529675444146a70623bca
[ "MIT" ]
null
null
null
zhang.py
AndrewQuijano/Treespace_REU_2017
e1aff2224ad5152d82f529675444146a70623bca
[ "MIT" ]
null
null
null
import networkx as nx from misc import maximum_matching_all from networkx import get_node_attributes def is_tree_based(graph): if is_binary(graph): # print("Graph is not binary! Zhang's won't work!") return None unmatched_reticulation = zhang_graph(graph) if len(unmatched_reticulation) == ...
32.828125
86
0.595907
272
2,101
4.466912
0.316176
0.023045
0.046091
0.037037
0.097942
0.039506
0
0
0
0
0
0.01115
0.316992
2,101
63
87
33.349206
0.83554
0.10614
0
0.170213
0
0
0.008547
0
0
0
0
0
0
1
0.085106
false
0
0.06383
0
0.319149
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4eaa0630211dc9678f367337b57ebf1618235962
3,765
py
Python
sme_financing/main/apis/document_api.py
BuildForSDG/team-214-backend
f1aff9c27d7b7588b4bbb2bc68956b35051d4506
[ "MIT" ]
1
2020-05-20T16:32:33.000Z
2020-05-20T16:32:33.000Z
sme_financing/main/apis/document_api.py
BuildForSDG/team-214-backend
f1aff9c27d7b7588b4bbb2bc68956b35051d4506
[ "MIT" ]
23
2020-05-19T07:12:53.000Z
2020-06-21T03:57:54.000Z
sme_financing/main/apis/document_api.py
BuildForSDG/team-214-backend
f1aff9c27d7b7588b4bbb2bc68956b35051d4506
[ "MIT" ]
1
2020-05-18T14:18:12.000Z
2020-05-18T14:18:12.000Z
"""RESTful API Document resource.""" from flask_restx import Resource, reqparse from flask_restx._http import HTTPStatus from werkzeug.datastructures import FileStorage from ..service.document_service import ( delete_document, edit_document, get_all_documents, get_document, save_document, ) from ....
35.186916
86
0.657371
474
3,765
5.048523
0.219409
0.046803
0.07898
0.050146
0.40326
0.334308
0.265775
0.265775
0.248642
0.248642
0
0.001028
0.224967
3,765
106
87
35.518868
0.819054
0.154847
0
0.266667
0
0
0.159873
0
0
0
0
0
0
1
0.066667
false
0
0.066667
0
0.226667
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4eaadef4bc857f47d228828cdfd23ca47dfe5099
1,405
py
Python
column_name_renaming.py
strathclyde-rse/strathclyde-software-survey
1dd3805a416f1da6cbfa27958ae96a5ad685fe19
[ "CC-BY-4.0", "BSD-3-Clause" ]
null
null
null
column_name_renaming.py
strathclyde-rse/strathclyde-software-survey
1dd3805a416f1da6cbfa27958ae96a5ad685fe19
[ "CC-BY-4.0", "BSD-3-Clause" ]
null
null
null
column_name_renaming.py
strathclyde-rse/strathclyde-software-survey
1dd3805a416f1da6cbfa27958ae96a5ad685fe19
[ "CC-BY-4.0", "BSD-3-Clause" ]
null
null
null
#!/usr/bin/env python # encoding: utf-8 col_shortener = { 'Q1':'confirm', 'Q2':'faculty', 'Q3':'department', 'Q4':'funders', 'Q5':'position', 'Q6':'use_software', 'Q7':'importance_software', 'Q8':'develop_own_code', 'Q9':'development_expertise', 'Q10':'sufficient_training', ...
19.788732
39
0.635587
151
1,405
5.483444
0.582781
0.065217
0.033816
0.050725
0
0
0
0
0
0
0
0.045053
0.194306
1,405
70
40
20.071429
0.686396
0.025623
0
0.101695
0
0
0.554499
0.162399
0
0
0
0
0
1
0
false
0
0.033898
0
0.033898
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4eae8bae94764d3c5a64b90797dd929834fa6067
1,974
py
Python
scanpy/tests/test_scaling.py
alexcwsmith/scanpy
b69015e9e7007193c9ac461d5c6fbf845b3d6962
[ "BSD-3-Clause" ]
1,171
2017-01-17T14:01:02.000Z
2022-03-31T23:02:57.000Z
scanpy/tests/test_scaling.py
alexcwsmith/scanpy
b69015e9e7007193c9ac461d5c6fbf845b3d6962
[ "BSD-3-Clause" ]
1,946
2017-01-22T10:19:04.000Z
2022-03-31T17:13:03.000Z
scanpy/tests/test_scaling.py
alexcwsmith/scanpy
b69015e9e7007193c9ac461d5c6fbf845b3d6962
[ "BSD-3-Clause" ]
499
2017-01-21T11:39:29.000Z
2022-03-23T13:57:35.000Z
import pytest import numpy as np from anndata import AnnData from scipy.sparse import csr_matrix import scanpy as sc # test "data" for 3 cells * 4 genes X = [ [-1, 2, 0, 0], [1, 2, 4, 0], [0, 2, 2, 0], ] # with gene std 1,0,2,0 and center 0,2,2,0 X_scaled = [ [-1, 2, 0, 0], [1, 2, 2, 0], [0, ...
35.890909
81
0.662614
322
1,974
3.965839
0.21118
0.017228
0.070478
0.065779
0.512921
0.463587
0.414252
0.280345
0.209867
0.209867
0
0.054648
0.193516
1,974
54
82
36.555556
0.747487
0.269504
0
0.04878
0
0
0.013996
0
0
0
0
0
0.146341
1
0.02439
false
0
0.121951
0
0.146341
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4eae8be82d67b6164b7865425e58eaf76d1e1eba
7,810
py
Python
wsireg/tmpSaves/demo_self6_complete unit.py
luweishuang/wsireg
344af8585932e3e0f5df3ce40a7dc75846a0214b
[ "MIT" ]
null
null
null
wsireg/tmpSaves/demo_self6_complete unit.py
luweishuang/wsireg
344af8585932e3e0f5df3ce40a7dc75846a0214b
[ "MIT" ]
null
null
null
wsireg/tmpSaves/demo_self6_complete unit.py
luweishuang/wsireg
344af8585932e3e0f5df3ce40a7dc75846a0214b
[ "MIT" ]
null
null
null
import cv2 import numpy as np import bilinear import patchreg from skimage.util import view_as_windows def bilinear_interpolation_of_patch_registration(master_srcdata, target_srcdata): print("Beginning bilinear_interpolation_of_patch_registration...") w_shape = (1000, 1000, 4) # window_size w_step = (5...
43.631285
131
0.705634
1,112
7,810
4.706835
0.220324
0.022927
0.024073
0.019488
0.232709
0.164501
0.128009
0.112151
0.080054
0.064578
0
0.070953
0.173496
7,810
179
132
43.631285
0.739892
0.108963
0
0
0
0
0.031904
0.006785
0
0
0
0
0.02439
1
0.04065
false
0
0.04065
0
0.113821
0.01626
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4eaf9ec2243bbc0b3558c08de925bc43b8365f96
1,253
py
Python
src/sprites/weapon_vfx.py
mgear2/undervoid
6c91a5786d29d766223831190952fd90ddc6a1e8
[ "MIT" ]
1
2020-08-29T06:41:03.000Z
2020-08-29T06:41:03.000Z
src/sprites/weapon_vfx.py
mgear2/undervoid
6c91a5786d29d766223831190952fd90ddc6a1e8
[ "MIT" ]
10
2019-07-15T05:15:38.000Z
2020-11-25T03:14:03.000Z
src/sprites/weapon_vfx.py
mgear2/undervoid
6c91a5786d29d766223831190952fd90ddc6a1e8
[ "MIT" ]
1
2020-11-22T08:25:26.000Z
2020-11-22T08:25:26.000Z
# Copyright (c) 2020 # [This program is licensed under the "MIT License"] # Please see the file LICENSE in the source # distribution of this software for license terms. import pygame as pg import ruamel.yaml from random import choice vec = pg.math.Vector2 class Weapon_VFX(pg.sprite.Sprite): """ Weapon_VFX a...
27.23913
59
0.60016
148
1,253
4.925676
0.533784
0.098765
0.030178
0.046639
0.068587
0
0
0
0
0
0
0.005624
0.290503
1,253
45
60
27.844444
0.814398
0.217877
0
0.133333
0
0
0.052466
0
0
0
0
0
0
1
0.066667
false
0
0.1
0
0.2
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4eafa55a23b75bd6783941216b9d9087a84c8b15
9,860
py
Python
game/blenderpanda/pman.py
Moguri/prototype-nitrogen
607f78219fcfbd55dfcd1611684107a2922f635d
[ "Apache-2.0" ]
1
2017-05-29T23:03:13.000Z
2017-05-29T23:03:13.000Z
game/blenderpanda/pman.py
Moguri/prototype-nitrogen
607f78219fcfbd55dfcd1611684107a2922f635d
[ "Apache-2.0" ]
null
null
null
game/blenderpanda/pman.py
Moguri/prototype-nitrogen
607f78219fcfbd55dfcd1611684107a2922f635d
[ "Apache-2.0" ]
null
null
null
import fnmatch import os import shutil import subprocess import sys import time from collections import OrderedDict try: import configparser except ImportError: import ConfigParser as configparser class PManException(Exception): pass class NoConfigError(PManException): pass class CouldNotFindPytho...
27.853107
131
0.600406
1,146
9,860
5.017452
0.219023
0.034435
0.027826
0.028174
0.17287
0.126087
0.101217
0.043478
0.043478
0.026435
0
0.001945
0.26998
9,860
353
132
27.932011
0.796888
0.034483
0
0.189189
0
0
0.16183
0
0
0
0
0
0
1
0.057915
false
0.023166
0.042471
0.015444
0.150579
0.088803
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4eb07bf2ab74b26ed4d8db65e2b44e12fd9bf220
1,326
py
Python
src/createGraph.py
AJMFactsheets/NetworkSpeedGrapher
86e755e8831ab22394719520713d4949ed3d018e
[ "Apache-2.0" ]
null
null
null
src/createGraph.py
AJMFactsheets/NetworkSpeedGrapher
86e755e8831ab22394719520713d4949ed3d018e
[ "Apache-2.0" ]
null
null
null
src/createGraph.py
AJMFactsheets/NetworkSpeedGrapher
86e755e8831ab22394719520713d4949ed3d018e
[ "Apache-2.0" ]
null
null
null
import sys import plotly import plotly.plotly as py import plotly.graph_objs as go #Argument 1 must be your plotly username, argument 2 is your api key. Get those by registering for a plotly account. #Argument 3 is the name of the input file to input data from. Must be in the form: Date \n Download \n Upload \n plotl...
17
116
0.6727
217
1,326
4.092166
0.37788
0.022523
0.027027
0.036036
0.295045
0.231982
0.231982
0.148649
0.148649
0.148649
0
0.036832
0.180995
1,326
77
117
17.220779
0.780847
0.381599
0
0.1
0
0
0.087282
0
0
0
0
0
0
1
0
false
0
0.1
0
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
0
0
0
0
0
0
1
0
4eb77f4c11a2d3ec08d7055fbeacf7a5223e4aad
630
py
Python
src/spellbot/migrations/versions/6e982c9318a6_adds_voice_category_per_channel.py
lexicalunit/spellbot
17a4999d5e1def06246727ac5481230aa4a4557d
[ "MIT" ]
13
2020-07-03T01:20:54.000Z
2021-11-22T06:06:21.000Z
src/spellbot/migrations/versions/6e982c9318a6_adds_voice_category_per_channel.py
lexicalunit/spellbot
17a4999d5e1def06246727ac5481230aa4a4557d
[ "MIT" ]
660
2020-06-26T02:52:18.000Z
2022-03-31T14:14:02.000Z
src/spellbot/migrations/versions/6e982c9318a6_adds_voice_category_per_channel.py
lexicalunit/spellbot
17a4999d5e1def06246727ac5481230aa4a4557d
[ "MIT" ]
3
2020-07-12T06:18:39.000Z
2021-06-22T06:54:47.000Z
"""Adds voice category per channel Revision ID: 6e982c9318a6 Revises: ef54f035a75c Create Date: 2021-12-03 13:18:57.468342 """ import sqlalchemy as sa from alembic import op # revision identifiers, used by Alembic. revision = "6e982c9318a6" down_revision = "ef54f035a75c" branch_labels = None depends_on = None def ...
19.6875
64
0.655556
74
630
5.472973
0.689189
0.096296
0
0
0
0
0
0
0
0
0
0.112266
0.236508
630
31
65
20.322581
0.72973
0.253968
0
0
0
0
0.201299
0
0
0
0
0
0
1
0.111111
false
0
0.111111
0
0.222222
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4eb9e46990415a6b4e9b33a746cb5c6ea0b09797
7,576
py
Python
main.py
jarchv/capsnet-tensorflow
e4a69124060ac946cf21861b3ef3870e956325b6
[ "MIT" ]
null
null
null
main.py
jarchv/capsnet-tensorflow
e4a69124060ac946cf21861b3ef3870e956325b6
[ "MIT" ]
null
null
null
main.py
jarchv/capsnet-tensorflow
e4a69124060ac946cf21861b3ef3870e956325b6
[ "MIT" ]
null
null
null
#!/usr/bin/env python #title :main.py #description :Tensorflow implementation of CapsNet. #author :Jose Chavez #date :2019/04/30 #version :1.0 #usage :python3 main.py #python_version :3.6.7 #============================================================================...
35.905213
161
0.574314
984
7,576
4.115854
0.183943
0.044444
0.024444
0.020741
0.438765
0.35358
0.298272
0.204198
0.161728
0.137284
0
0.025943
0.292767
7,576
210
162
36.07619
0.729937
0.098205
0
0.166667
0
0.007246
0.06463
0
0
0
0
0
0
1
0.028986
false
0
0.050725
0
0.07971
0.057971
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4ebb360ae9b11a1457dfb35575d9b1a3c0b33203
6,240
py
Python
platforms_handlers/dialogflow/request.py
Robinson04/inoft_vocal_framework
9659e0852604bc628b01e0440535add0ae5fc5d1
[ "MIT" ]
11
2020-04-15T07:47:34.000Z
2022-03-30T21:47:36.000Z
platforms_handlers/dialogflow/request.py
Robinson04/inoft_vocal_framework
9659e0852604bc628b01e0440535add0ae5fc5d1
[ "MIT" ]
20
2020-08-09T00:11:49.000Z
2021-09-11T11:34:02.000Z
platforms_handlers/dialogflow/request.py
Robinson04/inoft_vocal_framework
9659e0852604bc628b01e0440535add0ae5fc5d1
[ "MIT" ]
6
2020-02-21T04:45:19.000Z
2021-07-18T22:13:55.000Z
from typing import Optional, List from pydantic import Field from pydantic.main import BaseModel from inoft_vocal_framework.utils.formatters import normalize_intent_name class Intent(BaseModel): name: str displayName: str class User(BaseModel): _VERIFICATION_NAME_GUEST = "GUEST" _VERIFICATION_NAME_...
37.365269
149
0.680769
679
6,240
6.039764
0.215022
0.029261
0.032431
0.016825
0.204097
0.119971
0.108754
0.063399
0.063399
0.063399
0
0
0.244551
6,240
166
150
37.590361
0.869962
0.02516
0
0.165354
0
0
0.039809
0.011515
0
0
0
0.006024
0
1
0.110236
false
0
0.031496
0.03937
0.653543
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4ebf96b0cd05bc2eb3a4a7d33d2460323ab21921
1,073
py
Python
scraping_data.py
WeiTaKuan/TPEX_StockBot
e8a7d694dd08efdc66989a827518a629e380de16
[ "MIT" ]
null
null
null
scraping_data.py
WeiTaKuan/TPEX_StockBot
e8a7d694dd08efdc66989a827518a629e380de16
[ "MIT" ]
null
null
null
scraping_data.py
WeiTaKuan/TPEX_StockBot
e8a7d694dd08efdc66989a827518a629e380de16
[ "MIT" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- #--------------------------------# """ File name: TPEX_STOCKBOT/main.py Author: WEI-TA KUAN Date created: 12/9/2021 Date last modified: 9/10/2021 Version: 1.0 Python Version: 3.8.8 Status: Developing """ #--------------------------------# from scraping_data import stock_da...
29
90
0.649581
151
1,073
4.536424
0.529801
0.075912
0.091971
0.084672
0.213139
0.125547
0.125547
0.125547
0.125547
0
0
0.029508
0.147251
1,073
37
91
29
0.719126
0.37931
0
0.133333
0
0
0.164363
0.070661
0
0
0
0
0
1
0
false
0
0.2
0
0.2
0.133333
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4ec073c949edac61a57ee7d6306e6b0a094db09d
3,959
py
Python
l1t_cli/commands/list/twikis/__init__.py
kreczko/l1t-cli
f708f001b6f434d4245da6631a068a7eeb9edf30
[ "Apache-2.0" ]
null
null
null
l1t_cli/commands/list/twikis/__init__.py
kreczko/l1t-cli
f708f001b6f434d4245da6631a068a7eeb9edf30
[ "Apache-2.0" ]
null
null
null
l1t_cli/commands/list/twikis/__init__.py
kreczko/l1t-cli
f708f001b6f434d4245da6631a068a7eeb9edf30
[ "Apache-2.0" ]
null
null
null
""" list twikis: List all L1 Trigger Offline Twikis Usage: list twikis [check=1] Parameters: check: force a check of the twiki URL before printing. Useful when adding new entries. Default: 0 """ import logging import urllib import hepshell LOG = log...
32.186992
97
0.605961
475
3,959
4.873684
0.332632
0.036285
0.054428
0.062203
0.234557
0.206911
0.190497
0.142117
0.142117
0
0
0.010559
0.258399
3,959
122
98
32.45082
0.777929
0.090174
0
0.022989
0
0
0.36315
0
0
0
0
0
0
1
0.057471
false
0
0.034483
0
0.149425
0.011494
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4ec139a98dfaa140655178c0f7864e5e8a59aecf
1,528
py
Python
examples/surrogates/corrnoise.py
manu-mannattil/nolitsa
40befcb1ce5535703f90ffe87209181bcdb5eb5c
[ "BSD-3-Clause" ]
118
2017-06-21T08:38:07.000Z
2022-03-29T05:39:44.000Z
examples/surrogates/corrnoise.py
tanmaymaloo/nolitsa
40befcb1ce5535703f90ffe87209181bcdb5eb5c
[ "BSD-3-Clause" ]
2
2018-06-17T03:49:53.000Z
2019-10-21T14:45:01.000Z
examples/surrogates/corrnoise.py
tanmaymaloo/nolitsa
40befcb1ce5535703f90ffe87209181bcdb5eb5c
[ "BSD-3-Clause" ]
35
2018-06-16T22:41:24.000Z
2022-02-19T19:42:45.000Z
#!/usr/bin/env python # -*- coding: utf-8 -*- """IAAFT surrogates for correlated noise. The properties of linearly correlated noise can be captured quite accurately by IAAFT surrogates. Thus, they cannot easily fool a dimension estimator (here we use Takens's maximum likelihood estimator for the correlation dimensio...
26.807018
72
0.685864
272
1,528
3.805147
0.411765
0.011594
0.052174
0.054106
0.289855
0.13913
0.13913
0.13913
0.13913
0.13913
0
0.04099
0.153796
1,528
56
73
27.285714
0.759474
0.309555
0
0
0
0
0.103448
0
0
0
0
0
0
1
0
false
0
0.096774
0
0.096774
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4ec177a61c4b2700cdcadf9e2506e37171a32c85
1,853
py
Python
test/pubmed/test_entrez.py
aaronnorrish/PubMedConnections
dc17e141d94afe6d26a9b49b2183c06f3630e561
[ "CC-BY-4.0" ]
4
2022-03-09T05:20:46.000Z
2022-03-13T11:18:58.000Z
test/pubmed/test_entrez.py
aaronnorrish/PubMedConnections
dc17e141d94afe6d26a9b49b2183c06f3630e561
[ "CC-BY-4.0" ]
null
null
null
test/pubmed/test_entrez.py
aaronnorrish/PubMedConnections
dc17e141d94afe6d26a9b49b2183c06f3630e561
[ "CC-BY-4.0" ]
1
2022-03-09T05:21:53.000Z
2022-03-09T05:21:53.000Z
import time from unittest import TestCase from app.pubmed.source_entrez import * class TestEntrez(TestCase): def test_do_rate_limit(self): # Serial Test start = time.time() do_rate_limit() do_rate_limit() do_rate_limit() do_rate_limit() elapsed = time.time()...
36.333333
115
0.636805
230
1,853
4.908696
0.286957
0.077945
0.068202
0.06023
0.654562
0.618246
0.618246
0.618246
0.571302
0.474756
0
0.028798
0.250405
1,853
50
116
37.06
0.784017
0.076093
0
0.486486
0
0
0.079719
0
0
0
0
0
0.297297
1
0.108108
false
0.027027
0.081081
0
0.216216
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4ec4dd9e5afd36d15c0c2a204aed4c3badf824b1
1,799
py
Python
bankapi.py
robinstauntoncollins/bank-api
b19cadf5a65f5e66ca14688af8774f400d4fb0f8
[ "Unlicense" ]
null
null
null
bankapi.py
robinstauntoncollins/bank-api
b19cadf5a65f5e66ca14688af8774f400d4fb0f8
[ "Unlicense" ]
null
null
null
bankapi.py
robinstauntoncollins/bank-api
b19cadf5a65f5e66ca14688af8774f400d4fb0f8
[ "Unlicense" ]
null
null
null
#!/usr/bin/env python3 import os import click from bank_api import create_app, db, models, utils app = create_app(os.getenv('FLASK_CONFIG') or 'default') @app.shell_context_processor def make_shell_context(): return { 'db': db, 'Account': models.Account, 'Customer': models.Customer, ...
32.125
105
0.612007
210
1,799
5.004762
0.4
0.074215
0.05138
0.074215
0.201713
0.147479
0.147479
0.104662
0.104662
0
0
0.015251
0.234575
1,799
55
106
32.709091
0.748003
0.011673
0
0
0
0
0.203151
0
0
0
0
0
0
1
0.047619
false
0
0.142857
0.02381
0.214286
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4ecc15d4ccded89291e34497472b06937ec1df8b
18,554
py
Python
WS_CNN.py
Aks-Dmv/WSDDN
71fe1ccb17d5e779c8dac94a84227c871bd3aa73
[ "MIT" ]
null
null
null
WS_CNN.py
Aks-Dmv/WSDDN
71fe1ccb17d5e779c8dac94a84227c871bd3aa73
[ "MIT" ]
null
null
null
WS_CNN.py
Aks-Dmv/WSDDN
71fe1ccb17d5e779c8dac94a84227c871bd3aa73
[ "MIT" ]
null
null
null
import argparse import os import shutil import time import sys import sklearn import sklearn.metrics import torch torch.cuda.init() import torch.nn as nn import torch.nn.parallel import torch.nn.functional as F import torch.backends.cudnn as cudnn import torch.distributed as dist import torch.optim import torch.utils....
32.955595
129
0.579929
2,289
18,554
4.543906
0.169506
0.037496
0.027786
0.01846
0.474858
0.43765
0.415441
0.365349
0.357658
0.340833
0
0.028642
0.298103
18,554
562
130
33.014235
0.770022
0.122453
0
0.422785
0
0
0.118358
0.015596
0
0
0
0.001779
0
1
0.025316
false
0
0.058228
0.002532
0.101266
0.055696
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4ecd621ab56bfd508e9835987ea7537a72ff3b56
1,093
py
Python
fuc/cli/vcf_index.py
sbslee/fuc
f4eb5f6b95b533252ee877920278cd4e4c964bb8
[ "MIT" ]
17
2021-06-09T23:23:56.000Z
2022-03-10T11:58:46.000Z
fuc/cli/vcf_index.py
sbslee/fuc
f4eb5f6b95b533252ee877920278cd4e4c964bb8
[ "MIT" ]
27
2021-04-21T06:25:22.000Z
2022-03-30T23:25:36.000Z
fuc/cli/vcf_index.py
sbslee/fuc
f4eb5f6b95b533252ee877920278cd4e4c964bb8
[ "MIT" ]
null
null
null
import sys from .. import api import pysam description = """ Index a VCF file. This command will create an index file (.tbi) for the input VCF. """ epilog = f""" [Example] Index a compressed VCF file: $ fuc {api.common._script_name()} in.vcf.gz [Example] Index an uncompressed VCF file (will create a compressed ...
25.418605
78
0.643184
148
1,093
4.662162
0.425676
0.050725
0.065217
0.082609
0.078261
0.078261
0.078261
0
0
0
0
0
0.247027
1,093
42
79
26.02381
0.838396
0
0
0.117647
0
0
0.510522
0.049405
0
0
0
0
0
1
0.058824
false
0
0.088235
0
0.147059
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4ecec912c81fe613d6387ded4c0e5121003a14a5
640
py
Python
main.py
sergioyahni/captcha
f8235a4c3b64fadf71c00d9932fae7f1bf1962f5
[ "MIT" ]
null
null
null
main.py
sergioyahni/captcha
f8235a4c3b64fadf71c00d9932fae7f1bf1962f5
[ "MIT" ]
null
null
null
main.py
sergioyahni/captcha
f8235a4c3b64fadf71c00d9932fae7f1bf1962f5
[ "MIT" ]
null
null
null
from captcha.image import ImageCaptcha import random def create_captcha(): captcha_text = str(hex(random.randint(3000, 5999) * random.randint(100, 199))) image = ImageCaptcha(width=280, height=90) data = image.generate(captcha_text) image.write(captcha_text, 'cImg.png') return captcha_tex...
23.703704
83
0.6
76
640
4.894737
0.578947
0.11828
0
0
0
0
0
0
0
0
0
0.04955
0.30625
640
26
84
24.615385
0.788288
0
0
0
0
0
0.037459
0
0
0
0
0
0
1
0.095238
false
0
0.095238
0
0.285714
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4ed15e1a4c599c5f5acf73a58c9805ac84372eae
4,045
py
Python
openstates/openstates-master/openstates/mi/events.py
Jgorsick/Advocacy_Angular
8906af3ba729b2303880f319d52bce0d6595764c
[ "CC-BY-4.0" ]
null
null
null
openstates/openstates-master/openstates/mi/events.py
Jgorsick/Advocacy_Angular
8906af3ba729b2303880f319d52bce0d6595764c
[ "CC-BY-4.0" ]
null
null
null
openstates/openstates-master/openstates/mi/events.py
Jgorsick/Advocacy_Angular
8906af3ba729b2303880f319d52bce0d6595764c
[ "CC-BY-4.0" ]
null
null
null
from openstates.utils import LXMLMixin import datetime as dt import re from billy.scrape.events import Event, EventScraper import lxml.html import pytz mi_events = "http://legislature.mi.gov/doc.aspx?CommitteeMeetings" class MIEventScraper(EventScraper, LXMLMixin): jurisdiction = 'mi' _tz = pytz.timezone('...
32.36
85
0.528307
424
4,045
4.95283
0.375
0.02619
0.032857
0.032857
0.074286
0.033333
0.033333
0
0
0
0
0.006006
0.341409
4,045
124
86
32.620968
0.782282
0.0267
0
0.07
0
0
0.203459
0.053662
0
0
0
0
0
1
0.02
false
0
0.06
0
0.14
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4ed2ebd3e68752d3caa55e15dd92ce5cc345106b
418
py
Python
code/0190-reverseBits.py
RRRoger/LeetCodeExercise
0019a048fcfac9ac9e6f37651b17d01407c92c7d
[ "MIT" ]
null
null
null
code/0190-reverseBits.py
RRRoger/LeetCodeExercise
0019a048fcfac9ac9e6f37651b17d01407c92c7d
[ "MIT" ]
null
null
null
code/0190-reverseBits.py
RRRoger/LeetCodeExercise
0019a048fcfac9ac9e6f37651b17d01407c92c7d
[ "MIT" ]
null
null
null
class Solution: # @param n, an integer # @return an integer def reverseBits(self, n): ret, power = 0, 31 while n: ret += (n & 1) << power # n & 1 means: 末位是1则是1, 0则是0 向右移位 n = n >> 1 # n 左移移位 power -= 1 # 位数-1 return ret if "__main__...
19.904762
69
0.5
51
418
3.941176
0.54902
0.029851
0
0
0
0
0
0
0
0
0
0.078125
0.38756
418
20
70
20.9
0.707031
0.198565
0
0
0
0
0.024316
0
0
0
0
0
0
1
0.083333
false
0
0
0
0.25
0.083333
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4ed342ee0815f43f923a49b70459817dc28094de
1,018
py
Python
muria/db/preload.py
xakiy/muria
0d16ae02f65d2a4b8cfe31419a4d9343ccbe6905
[ "MIT" ]
1
2020-02-10T00:12:27.000Z
2020-02-10T00:12:27.000Z
muria/db/preload.py
xakiy/muria
0d16ae02f65d2a4b8cfe31419a4d9343ccbe6905
[ "MIT" ]
8
2019-12-07T16:48:08.000Z
2021-08-31T06:31:34.000Z
muria/db/preload.py
xakiy/muria
0d16ae02f65d2a4b8cfe31419a4d9343ccbe6905
[ "MIT" ]
null
null
null
"""Some preloads of database content.""" tables = list() roles = list() roles.append({"id": 1, "name": "administrator"}) roles.append({"id": 2, "name": "contributor"}) roles.append({"id": 3, "name": "staff"}) roles.append({"id": 4, "name": "parent"}) roles.append({"id": 5, "name": "caretaker"}) roles.append...
22.130435
69
0.52554
114
1,018
4.675439
0.298246
0.135084
0.146341
0.04878
0
0
0
0
0
0
0
0.039642
0.231827
1,018
45
70
22.622222
0.641944
0.033399
0
0
0
0
0.217578
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4ed3a96b67e22aff964a1489de5d4c55aa41991d
6,689
py
Python
src/meeting_timer/settings.py
andrewjrobinson/meeting_timer
cad3303f6925d2e8961b262c6cfbecf4a30a1ce5
[ "MIT" ]
null
null
null
src/meeting_timer/settings.py
andrewjrobinson/meeting_timer
cad3303f6925d2e8961b262c6cfbecf4a30a1ce5
[ "MIT" ]
null
null
null
src/meeting_timer/settings.py
andrewjrobinson/meeting_timer
cad3303f6925d2e8961b262c6cfbecf4a30a1ce5
[ "MIT" ]
null
null
null
# # MIT License # # Copyright (c) 2020 Andrew Robinson # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify,...
32.470874
87
0.575123
752
6,689
5.019947
0.303191
0.043709
0.063576
0.02649
0.270199
0.179338
0.148079
0.13457
0.111788
0.111788
0
0.005081
0.323217
6,689
205
88
32.629268
0.828805
0.276274
0
0.29
0
0
0.081254
0
0
0
0
0
0
1
0.11
false
0
0.04
0
0.23
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4ed623c2f06e37c570057cd2950ac913943aac09
651
py
Python
python/191122.py
Xanonymous-GitHub/main
53120110bd8dc9ab33424fa26d1a8ca5b9256ebe
[ "Apache-2.0" ]
1
2019-09-27T17:46:41.000Z
2019-09-27T17:46:41.000Z
python/191122.py
Xanonymous-GitHub/main
53120110bd8dc9ab33424fa26d1a8ca5b9256ebe
[ "Apache-2.0" ]
null
null
null
python/191122.py
Xanonymous-GitHub/main
53120110bd8dc9ab33424fa26d1a8ca5b9256ebe
[ "Apache-2.0" ]
5
2019-09-30T16:41:14.000Z
2019-10-25T11:13:39.000Z
from os import getcwd def rdfile(): data = list() # 顯示這個程式碼檔案是在哪裡被執行 print(getcwd()) with open("pm25.txt", 'r') as fd: for line in fd: try: data.append(float(line.replace('\n', ''))) except: pass print('Max =', max(data)) print('M...
21.7
78
0.533026
86
651
3.837209
0.546512
0.121212
0.145455
0.145455
0.109091
0
0
0
0
0
0
0.029213
0.316436
651
29
79
22.448276
0.71236
0.024578
0
0
0
0
0.123223
0
0
0
0
0
0
1
0.090909
false
0.045455
0.045455
0
0.136364
0.227273
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4ed6b577e511cc21f5108b75969a300169a86b9c
5,534
py
Python
treeplotter/plotter.py
Luke-Poeppel/treeplotter
940e08b02d30f69972b0df1a5668f3b2ade02027
[ "MIT" ]
7
2021-06-12T17:48:17.000Z
2022-01-27T09:47:12.000Z
treeplotter/plotter.py
Luke-Poeppel/treeplotter
940e08b02d30f69972b0df1a5668f3b2ade02027
[ "MIT" ]
36
2021-06-09T18:31:44.000Z
2022-03-17T12:06:59.000Z
treeplotter/plotter.py
Luke-Poeppel/treeplotter
940e08b02d30f69972b0df1a5668f3b2ade02027
[ "MIT" ]
2
2021-12-07T18:41:53.000Z
2022-03-09T10:46:52.000Z
#################################################################################################### # File: plotter.py # Purpose: Plotting module. # # Author: Luke Poeppel # # Location: Kent, 2021 #################################################################################################### import logging...
28.091371
100
0.696061
732
5,534
5.02459
0.285519
0.032898
0.028276
0.014682
0.057096
0.034802
0.02012
0.02012
0
0
0
0.002324
0.144742
5,534
197
101
28.091371
0.77435
0.15721
0
0.082759
0
0
0.145707
0.005604
0
0
0
0
0
1
0.034483
false
0
0.055172
0
0.124138
0.027586
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4ed70f9df4c3c063308c836d1a779ff6d33f1046
3,814
py
Python
filewriter.py
FrederikBjorne/python-serial-logging
e553bc2421699a2bb38f21abffbb08ee70c81a21
[ "MIT" ]
null
null
null
filewriter.py
FrederikBjorne/python-serial-logging
e553bc2421699a2bb38f21abffbb08ee70c81a21
[ "MIT" ]
null
null
null
filewriter.py
FrederikBjorne/python-serial-logging
e553bc2421699a2bb38f21abffbb08ee70c81a21
[ "MIT" ]
null
null
null
#!/usr/bin/env python import logging from threading import Thread, Event from Queue import Queue, Empty as QueueEmpty import codecs class FileWriter(Thread): """ This thread reads log lines from a queue and writes these to a file passed as log_file_path. The log line queue is filled with new log lines b...
40.574468
113
0.588621
473
3,814
4.515856
0.321353
0.032772
0.036049
0.02809
0.045412
0.029026
0.029026
0
0
0
0
0.001169
0.327216
3,814
93
114
41.010753
0.831255
0.299423
0
0.036364
0
0
0.07177
0
0
0
0
0
0
1
0.109091
false
0
0.072727
0.018182
0.254545
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4ed8c0b61feb32ca367f3590a99a8b047fcbbc95
610
py
Python
adv/pipple.py
XenoXilus/dl
cdfce03835cd67aac553140d6d88bc4c5c5d60ff
[ "Apache-2.0" ]
null
null
null
adv/pipple.py
XenoXilus/dl
cdfce03835cd67aac553140d6d88bc4c5c5d60ff
[ "Apache-2.0" ]
null
null
null
adv/pipple.py
XenoXilus/dl
cdfce03835cd67aac553140d6d88bc4c5c5d60ff
[ "Apache-2.0" ]
null
null
null
from core.advbase import * def module(): return Pipple class Pipple(Adv): conf = {} conf['slots.a'] = ['Proper_Maintenance', 'Brothers_in_Arms'] conf['slots.frostbite.a'] = conf['slots.a'] conf['slots.d'] = 'Gaibhne_and_Creidhne' conf['acl'] = """ `dragon(c3-s-end),x=5 `s2, (x=...
25.416667
64
0.568852
82
610
4.012195
0.682927
0.109422
0.06079
0
0
0
0
0
0
0
0
0.019481
0.242623
610
24
65
25.416667
0.692641
0
0
0
0
0
0.451718
0.03437
0
0
0
0
0
1
0.05
false
0
0.1
0.05
0.3
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
4edad0b70551d7b3c45fcd8cf2f69ef8cc0ea351
3,799
py
Python
test/testFactorMethods.py
turkeydonkey/nzmath3
a48ae9efcf0d9ad1485c2e9863c948a7f1b20311
[ "BSD-3-Clause" ]
1
2021-05-26T19:22:17.000Z
2021-05-26T19:22:17.000Z
test/testFactorMethods.py
turkeydonkey/nzmath3
a48ae9efcf0d9ad1485c2e9863c948a7f1b20311
[ "BSD-3-Clause" ]
null
null
null
test/testFactorMethods.py
turkeydonkey/nzmath3
a48ae9efcf0d9ad1485c2e9863c948a7f1b20311
[ "BSD-3-Clause" ]
null
null
null
import unittest import logging import nzmath.factor.methods as mthd try: _log = logging.getLogger('test.testFactorMethod') except: try: _log = logging.getLogger('nzmath.test.testFactorMethod') except: _log = logging.getLogger('testFactorMethod') _log.setLevel(logging.INFO) class FactorTest...
39.164948
84
0.609108
476
3,799
4.796218
0.254202
0.144547
0.049058
0.018397
0.427946
0.426194
0.367061
0.346036
0.263688
0.263688
0
0.138597
0.223217
3,799
96
85
39.572917
0.635039
0.064491
0
0.16
0
0
0.034979
0.013822
0
0
0
0
0.333333
1
0.133333
false
0
0.04
0
0.213333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14c1c00575d1e7a958fc95661cce6a81b4fbbd6f
2,057
py
Python
LeetCode/0151-reverse-words-in-a-string/solution.py
RyouMon/road-of-master
02e18c2e524db9c7df4e6f8db56b3c8408a9fc6b
[ "Apache-2.0" ]
null
null
null
LeetCode/0151-reverse-words-in-a-string/solution.py
RyouMon/road-of-master
02e18c2e524db9c7df4e6f8db56b3c8408a9fc6b
[ "Apache-2.0" ]
null
null
null
LeetCode/0151-reverse-words-in-a-string/solution.py
RyouMon/road-of-master
02e18c2e524db9c7df4e6f8db56b3c8408a9fc6b
[ "Apache-2.0" ]
null
null
null
import collections class Solution01: """ 使用内置API """ def reverseWords(self, s: str) -> str: return ' '.join(reversed(s.split())) class Solution02: """ 自己实现对应的功能 """ def trim_space(self, s: str) -> list: left, right = 0, len(s) - 1 # 去除首尾空格 while s[le...
22.855556
62
0.427807
224
2,057
3.901786
0.241071
0.045767
0.036613
0.06865
0.244851
0.244851
0.073227
0.073227
0.073227
0.073227
0
0.022165
0.429752
2,057
89
63
23.11236
0.722933
0.056393
0
0.462963
0
0
0.005832
0
0
0
0
0
0
1
0.111111
false
0
0.018519
0.018519
0.259259
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14c1f4a62cb93b24d14dc7d0ea4f4f2eb0f1a413
3,154
py
Python
setup.py
Tiksagol/hype
1485b80fe16a7678605afe209b2494a2a875df3f
[ "MIT" ]
13
2021-07-31T12:07:06.000Z
2022-03-24T15:00:50.000Z
setup.py
Tiksagol/hype
1485b80fe16a7678605afe209b2494a2a875df3f
[ "MIT" ]
2
2021-08-02T14:04:58.000Z
2021-09-06T09:35:20.000Z
setup.py
Tiksagol/hype
1485b80fe16a7678605afe209b2494a2a875df3f
[ "MIT" ]
3
2021-08-07T13:23:54.000Z
2022-01-24T13:23:08.000Z
# Copyright (c) 2021, Serum Studio # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, mer...
38.938272
91
0.679138
383
3,154
5.462141
0.506527
0.042065
0.071702
0.062141
0
0
0
0
0
0
0
0.010891
0.214014
3,154
81
92
38.938272
0.832997
0.366519
0
0
0
0
0.480347
0.026544
0
0
0
0
0
1
0.02
false
0
0.04
0
0.08
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14c57c94bb76c89fd6223c07cfaec40385ecbc9c
1,133
py
Python
setup.py
travisliu/data-spec-validator
7ee0944ca9899d565ad04ed82ca26bb402970958
[ "MIT" ]
23
2021-08-11T08:53:15.000Z
2022-02-14T04:44:13.000Z
setup.py
travisliu/data-spec-validator
7ee0944ca9899d565ad04ed82ca26bb402970958
[ "MIT" ]
2
2021-09-11T08:59:12.000Z
2022-03-29T00:40:42.000Z
setup.py
travisliu/data-spec-validator
7ee0944ca9899d565ad04ed82ca26bb402970958
[ "MIT" ]
1
2022-01-04T07:45:22.000Z
2022-01-04T07:45:22.000Z
import os import setuptools CUR_DIR = os.path.abspath(os.path.dirname(__file__)) about = {} with open(os.path.join(CUR_DIR, "data_spec_validator", "__version__.py"), "r") as f: exec(f.read(), about) with open("README.md", "r", encoding="utf-8") as fh: long_description = fh.read() setuptools.setup( name...
29.815789
84
0.672551
130
1,133
5.615385
0.615385
0.054795
0.116438
0.054795
0
0
0
0
0
0
0
0.004283
0.17564
1,133
37
85
30.621622
0.777302
0
0
0.0625
0
0
0.390997
0
0
0
0
0
0
1
0
false
0
0.0625
0
0.0625
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14c7234590ee0036166bb3c285dac3557145714c
9,204
py
Python
prisms_influxdb.py
VDL-PRISM/home-assistant-components
2041d2a257aede70613ddf8fe1e76bcc1877ef2e
[ "Apache-2.0" ]
null
null
null
prisms_influxdb.py
VDL-PRISM/home-assistant-components
2041d2a257aede70613ddf8fe1e76bcc1877ef2e
[ "Apache-2.0" ]
null
null
null
prisms_influxdb.py
VDL-PRISM/home-assistant-components
2041d2a257aede70613ddf8fe1e76bcc1877ef2e
[ "Apache-2.0" ]
null
null
null
""" A component which allows you to send data to an Influx database. For more details about this component, please refer to the documentation at https://home-assistant.io/components/influxdb/ """ from datetime import timedelta import functools import logging import itertools import json from persistent_queue import P...
34.215613
94
0.624402
1,111
9,204
4.976598
0.229523
0.022789
0.029843
0.008682
0.197504
0.1465
0.105987
0.093688
0.093688
0.093688
0
0.004412
0.285854
9,204
268
95
34.343284
0.836756
0.092243
0
0.158163
0
0
0.128831
0.006129
0
0
0
0
0
1
0.040816
false
0.015306
0.081633
0.005102
0.183673
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14c9c1f833fdc6508d89df41045c267b53031119
587
py
Python
utils/callbacks/callbacks_weather.py
Chris1nexus/carla-data-collector
333019622cb07dc53bbe8f1c07cfb12fbfaae60c
[ "MIT" ]
null
null
null
utils/callbacks/callbacks_weather.py
Chris1nexus/carla-data-collector
333019622cb07dc53bbe8f1c07cfb12fbfaae60c
[ "MIT" ]
null
null
null
utils/callbacks/callbacks_weather.py
Chris1nexus/carla-data-collector
333019622cb07dc53bbe8f1c07cfb12fbfaae60c
[ "MIT" ]
null
null
null
import numpy as np import os from ..helpers import save_json def callback_weather_fn(sensor_data, custom_args): ## note that in this function, sensor data comes from the ## 'weather' custom arg ## the sensor is used just to trigger the callback at the correct timestamp weather = custom_args['weather']...
29.35
79
0.722317
89
587
4.516854
0.494382
0.079602
0.069652
0
0
0
0
0
0
0
0
0
0.194208
587
20
80
29.35
0.849894
0.253833
0
0
0
0
0.039352
0
0
0
0
0
0
1
0.181818
false
0
0.272727
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
0
0
0
0
0
0
0
1
0
14cbaa1dbf623ab97aaa48323072de223e8374d1
1,393
py
Python
exp2.py
advaithca/CG_LAB
07c4424be2f37d21ed7af804361f0a992a8124ac
[ "MIT" ]
null
null
null
exp2.py
advaithca/CG_LAB
07c4424be2f37d21ed7af804361f0a992a8124ac
[ "MIT" ]
null
null
null
exp2.py
advaithca/CG_LAB
07c4424be2f37d21ed7af804361f0a992a8124ac
[ "MIT" ]
null
null
null
#drawing a line using DDA from OpenGL.GL import * from OpenGL.GLU import * from OpenGL.GLUT import * import sys import math def init(): glClearColor(1.0,2.0,1.0,1.0) gluOrtho2D(-100.0,100.0,-100.0,100.0) x1 = 0 x2 = 0 y1 = 0 y2 = 0 def plotpoints(): global x1, y1, x2, y2 glClear(G...
21.106061
52
0.557789
196
1,393
3.887755
0.397959
0.010499
0.027559
0.031496
0.215223
0.104987
0.08399
0
0
0
0
0.080713
0.315147
1,393
66
53
21.106061
0.718029
0.017229
0
0.111111
0
0
0.118098
0
0
0
0
0
0
1
0.055556
false
0
0.092593
0
0.148148
0.018519
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14cc76852586183e306354dd7443e72f19468e4e
4,884
py
Python
landlab/io/netcdf/dump.py
clebouteiller/landlab
e6f47db76ea0814c4c5a24e695bbafb74c722ff7
[ "MIT" ]
1
2022-01-07T02:36:07.000Z
2022-01-07T02:36:07.000Z
landlab/io/netcdf/dump.py
clebouteiller/landlab
e6f47db76ea0814c4c5a24e695bbafb74c722ff7
[ "MIT" ]
1
2021-11-11T21:23:46.000Z
2021-11-11T21:23:46.000Z
landlab/io/netcdf/dump.py
clebouteiller/landlab
e6f47db76ea0814c4c5a24e695bbafb74c722ff7
[ "MIT" ]
2
2019-08-19T08:58:10.000Z
2022-01-07T02:36:01.000Z
import pathlib import numpy as np import xarray as xr def to_netcdf( grid, path, include="*", exclude=None, time=None, format="NETCDF4", mode="w" ): """Write landlab a grid to a netcdf file. Write the data and grid information for *grid* to *path* as NetCDF. If the *append* keyword argument in True,...
33.682759
84
0.600328
650
4,884
4.383077
0.287692
0.046332
0.016848
0.022464
0.089856
0.03861
0
0
0
0
0
0.015267
0.275799
4,884
144
85
33.916667
0.790218
0.551392
0
0
0
0
0.059655
0
0
0
0
0
0
1
0.042553
false
0
0.06383
0
0.106383
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14cccb90d3e5e893e8714d97f092815310280afd
4,053
py
Python
app.py
ethylomat/MathPhysTheoTS
76144c3990d9511817cfaa007a75ec55bc8e7310
[ "MIT" ]
1
2019-04-29T22:23:22.000Z
2019-04-29T22:23:22.000Z
app.py
ethylomat/MathPhysTheoTS
76144c3990d9511817cfaa007a75ec55bc8e7310
[ "MIT" ]
2
2016-08-11T14:26:47.000Z
2016-08-11T14:29:44.000Z
app.py
ethylomat/MathPhysTheoTS
76144c3990d9511817cfaa007a75ec55bc8e7310
[ "MIT" ]
null
null
null
from flask import request, url_for, g from flask_api import FlaskAPI, status, exceptions from flask_sqlalchemy import SQLAlchemy import arrow from flask_admin import Admin from flask_admin.contrib.sqla import ModelView from flask_cors import CORS app = FlaskAPI(__name__) cors = CORS(app, resources={r"/*": {"origins...
29.583942
100
0.635085
479
4,053
5.164927
0.212944
0.07882
0.059418
0.076395
0.548504
0.498787
0.407842
0.381164
0.377526
0.377526
0
0.002588
0.237355
4,053
136
101
29.801471
0.7978
0.020725
0
0.346535
0
0
0.100605
0.005799
0
0
0
0
0
1
0.09901
false
0
0.069307
0.059406
0.356436
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14d5f7d082a22edb6ba40c486b8faa869556d8a1
2,649
py
Python
simsiam/engine/supervised.py
tillaczel/simsiam
d4d03aae625314ac2f24155fac3ca5bfc31502c7
[ "MIT" ]
null
null
null
simsiam/engine/supervised.py
tillaczel/simsiam
d4d03aae625314ac2f24155fac3ca5bfc31502c7
[ "MIT" ]
null
null
null
simsiam/engine/supervised.py
tillaczel/simsiam
d4d03aae625314ac2f24155fac3ca5bfc31502c7
[ "MIT" ]
null
null
null
from omegaconf import DictConfig import pytorch_lightning as pl import numpy as np import torch import wandb from simsiam.models import get_resnet from simsiam.metrics import get_accuracy from simsiam.optimizer import get_optimizer, get_scheduler class SupervisedEngine(pl.LightningModule): def __init__(self, co...
33.531646
123
0.645527
357
2,649
4.605042
0.296919
0.034063
0.012165
0.026764
0.19708
0.1691
0.1691
0.1691
0.135037
0.087591
0
0.003471
0.238581
2,649
78
124
33.961538
0.811601
0.02416
0
0.033898
0
0
0.024087
0.01049
0
0
0
0
0
1
0.152542
false
0
0.135593
0
0.40678
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14de21cf53b113f2413b7d529932853ff2790fae
2,420
py
Python
demo.py
allenjhuang/rsys_api
41bc05fbeda5b5c76232a548aa16d33d05bfa8e4
[ "Unlicense" ]
null
null
null
demo.py
allenjhuang/rsys_api
41bc05fbeda5b5c76232a548aa16d33d05bfa8e4
[ "Unlicense" ]
null
null
null
demo.py
allenjhuang/rsys_api
41bc05fbeda5b5c76232a548aa16d33d05bfa8e4
[ "Unlicense" ]
null
null
null
#!/usr/bin/env python3 import config import rsys_api import secrets import json import logging import sys def main(): logging.basicConfig( level=logging.DEBUG, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", datefmt="%Y/%m/%d %H:%M:%S", filename="demo.log" ) ...
30.632911
73
0.605372
304
2,420
4.615132
0.279605
0.085531
0.038489
0.055595
0.620813
0.620813
0.571632
0.565217
0.48325
0.431932
0
0.007576
0.290909
2,420
78
74
31.025641
0.810023
0.171488
0
0.349206
0
0
0.155311
0.071142
0
0
0
0
0
1
0.015873
false
0.031746
0.095238
0
0.111111
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14debfd1d4eddfbeadc1ea54fc7d19ccc2df866b
4,377
py
Python
algorithms/common/runner.py
Fluidy/twc2020
0c65ab3508675a81e3edc831e45d59729dab159d
[ "MIT" ]
1
2021-09-05T01:56:45.000Z
2021-09-05T01:56:45.000Z
algorithms/common/runner.py
Fluidy/twc2020
0c65ab3508675a81e3edc831e45d59729dab159d
[ "MIT" ]
null
null
null
algorithms/common/runner.py
Fluidy/twc2020
0c65ab3508675a81e3edc831e45d59729dab159d
[ "MIT" ]
null
null
null
from utils import save_params, load_params from importlib import import_module from environments.env import Env def run(algorithm_name, exp_name, env_name, agent_params, train_params, use_ray, use_gpu, is_train, num_runs=None, test_run_id=None, test_model_id=None): """ Runner for training or t...
39.432432
111
0.59767
527
4,377
4.679317
0.189753
0.06326
0.098135
0.087591
0.413625
0.230333
0.175182
0.150852
0.150852
0.150852
0
0.002998
0.314142
4,377
110
112
39.790909
0.818454
0.064656
0
0.293333
0
0
0.156045
0.062418
0
0
0
0
0
1
0.013333
false
0
0.226667
0
0.253333
0.04
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14e118dd6032aaabd75d35019107d6e409ebb6bc
875
py
Python
login/middleWare/auth.py
csk17k/WebPanel
fdb0ae1b2fd12d006fbca65c779369e2d3d62928
[ "Apache-2.0" ]
null
null
null
login/middleWare/auth.py
csk17k/WebPanel
fdb0ae1b2fd12d006fbca65c779369e2d3d62928
[ "Apache-2.0" ]
null
null
null
login/middleWare/auth.py
csk17k/WebPanel
fdb0ae1b2fd12d006fbca65c779369e2d3d62928
[ "Apache-2.0" ]
1
2021-06-24T13:38:23.000Z
2021-06-24T13:38:23.000Z
import re from django.conf import settings from django.shortcuts import redirect from django.http import HttpResponseRedirect EXEMPT_URLS=[] if hasattr(settings,'LOGIN_EXEMPT_URLS'): EXEMPT_URLS+=[re.compile(url) for url in settings.LOGIN_EXEMPT_URLS] class AuthenticationMiddleware(object): def __init__(self, get_...
31.25
69
0.76
119
875
5.386555
0.512605
0.078003
0.070203
0.071763
0
0
0
0
0
0
0
0
0.133714
875
27
70
32.407407
0.845646
0.148571
0
0
0
0
0.080972
0
0
0
0
0
0
1
0.1
false
0
0.2
0
0.45
0.1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14e28f82f57d04fe78acc078756343daa686d910
579
py
Python
tests/domain/entities/metadata_test.py
keigohtr/autify-web-scraper
007ed78c461b31007328b5560957278856908979
[ "Apache-2.0" ]
null
null
null
tests/domain/entities/metadata_test.py
keigohtr/autify-web-scraper
007ed78c461b31007328b5560957278856908979
[ "Apache-2.0" ]
null
null
null
tests/domain/entities/metadata_test.py
keigohtr/autify-web-scraper
007ed78c461b31007328b5560957278856908979
[ "Apache-2.0" ]
null
null
null
from datetime import datetime, timedelta, timezone import freezegun from autifycli.domain.entities.metadata import Metadata JST = timezone(timedelta(hours=+9), "JST") @freezegun.freeze_time("2021-08-12") def test_metadata(): site = "https://example.com" num_links = 0 num_images = 0 last_fetch = dat...
25.173913
55
0.716753
82
579
4.902439
0.426829
0.11194
0.074627
0.094527
0
0
0
0
0
0
0
0.023013
0.174439
579
22
56
26.318182
0.817992
0
0
0
0
0
0.055268
0
0
0
0
0
0.3125
1
0.0625
false
0
0.1875
0
0.25
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14e8b8ee0a1f85b70e2cc66661f3d254f3aee85e
3,720
py
Python
keepthis/KeepThis.py
puhoshville/keepthis
70447ec367b78caba03c302470f591df2dcc1e7e
[ "MIT" ]
4
2020-02-18T12:29:29.000Z
2020-11-12T10:19:37.000Z
keepthis/KeepThis.py
puhoshville/keepthis
70447ec367b78caba03c302470f591df2dcc1e7e
[ "MIT" ]
79
2019-12-26T14:00:11.000Z
2022-03-18T02:20:45.000Z
keepthis/KeepThis.py
puhoshville/keepthis
70447ec367b78caba03c302470f591df2dcc1e7e
[ "MIT" ]
3
2019-09-25T22:47:25.000Z
2019-10-03T15:07:36.000Z
import hashlib import json import numpy as np import pandas as pd from pymemcache import serde from pymemcache.client import base from keepthis.MemcachedConnection import MemcachedConnection from keepthis.exceptions import KeepThisValueError class KeepThis: def __init__( self, memcached_...
32.631579
92
0.608065
393
3,720
5.475827
0.272265
0.048327
0.031599
0.036245
0.201673
0.159851
0.104089
0.069703
0.069703
0.069703
0
0.003521
0.312903
3,720
113
93
32.920354
0.838419
0.049194
0
0.133333
0
0
0.040514
0
0
0
0
0
0
1
0.111111
false
0
0.088889
0.011111
0.333333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14ec81da7a7909c65783eff82c284b4266341daf
1,016
py
Python
sbx_bgsvc_starterpack/sbx_cfg.py
parkssie/sbx-bgsvc-starterpack
9f2cb80cc677b9ab73cbf085a910d30c40194449
[ "MIT" ]
null
null
null
sbx_bgsvc_starterpack/sbx_cfg.py
parkssie/sbx-bgsvc-starterpack
9f2cb80cc677b9ab73cbf085a910d30c40194449
[ "MIT" ]
null
null
null
sbx_bgsvc_starterpack/sbx_cfg.py
parkssie/sbx-bgsvc-starterpack
9f2cb80cc677b9ab73cbf085a910d30c40194449
[ "MIT" ]
null
null
null
import json from pathlib import Path from sbx_bgsvc_starterpack.sbx_json_default import json_default def load(default_cfg: dict = {}, file: str = './cfg/cfg.json', encoding: str = 'utf-8-sig') -> dict: # 1. 설정 파일이 없는경우 생성 cfg_file1 = Path(file) if not cfg_file1.is_file(): save(default_cfg, file, ...
31.75
100
0.662402
161
1,016
4.062112
0.490683
0.076453
0.027523
0.039755
0.174312
0.094801
0.094801
0.094801
0.094801
0
0
0.012438
0.208661
1,016
31
101
32.774194
0.800995
0.160433
0
0.117647
0
0
0.059172
0
0
0
0
0
0
1
0.117647
false
0
0.176471
0
0.352941
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14ededd86abda0dc6be68373dfe57be0e413a26e
10,880
py
Python
pyi_updater/client/patcher.py
rsumner31/PyUpdater1
d9658000472e57453267ee8fa174ae914dd8d33c
[ "BSD-2-Clause" ]
null
null
null
pyi_updater/client/patcher.py
rsumner31/PyUpdater1
d9658000472e57453267ee8fa174ae914dd8d33c
[ "BSD-2-Clause" ]
null
null
null
pyi_updater/client/patcher.py
rsumner31/PyUpdater1
d9658000472e57453267ee8fa174ae914dd8d33c
[ "BSD-2-Clause" ]
null
null
null
# -------------------------------------------------------------------------- # Copyright 2014 Digital Sapphire Development Team # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://...
36.881356
79
0.583732
1,286
10,880
4.763608
0.206843
0.027424
0.020568
0.013059
0.217107
0.125204
0.089781
0.080966
0.044727
0.031995
0
0.002309
0.323254
10,880
294
80
37.006803
0.829689
0.19614
0
0.261307
0
0
0.118379
0
0
0
0
0.003401
0
1
0.055276
false
0
0.070352
0
0.211055
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14eee5ee3d7b6b1d697c697b8f6b60cc9529087d
3,090
py
Python
tests/test_absort.py
MapleCCC/ABSort
fa020d7f2d6025603910c12fdfe775922d33afbc
[ "MIT" ]
null
null
null
tests/test_absort.py
MapleCCC/ABSort
fa020d7f2d6025603910c12fdfe775922d33afbc
[ "MIT" ]
null
null
null
tests/test_absort.py
MapleCCC/ABSort
fa020d7f2d6025603910c12fdfe775922d33afbc
[ "MIT" ]
null
null
null
from __future__ import annotations import ast import os import re import sys from itertools import product from pathlib import Path import attr from hypothesis import given, settings from hypothesis.strategies import sampled_from from absort.__main__ import ( CommentStrategy, FormatOption, NameRedefiniti...
30
128
0.726537
419
3,090
5.145585
0.410501
0.025046
0.025046
0.033395
0.130334
0.130334
0.108071
0.092764
0.092764
0.048237
0
0.001166
0.167638
3,090
102
129
30.294118
0.837092
0.214887
0
0
0
0
0.08126
0.04063
0
0
0
0.009804
0.061538
1
0.030769
false
0.015385
0.215385
0.015385
0.323077
0.015385
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14ef95586e2cc40aadbf1094d06743d8533ef65a
4,593
py
Python
BrickBreaker/brick_breaker.py
Urosh91/BrickBreaker
527564eb7fbab31e215a60ca8d46843a5a13791b
[ "MIT" ]
null
null
null
BrickBreaker/brick_breaker.py
Urosh91/BrickBreaker
527564eb7fbab31e215a60ca8d46843a5a13791b
[ "MIT" ]
null
null
null
BrickBreaker/brick_breaker.py
Urosh91/BrickBreaker
527564eb7fbab31e215a60ca8d46843a5a13791b
[ "MIT" ]
null
null
null
import pygame from BrickBreaker import * from BrickBreaker.Scenes import * from BrickBreaker.Shared import * class BrickBreaker: def __init__(self): self._lives = 5 self._score = 0 self._bonus = 1 self._level = Level(self) self._level.load_random() self._pad = P...
28.886792
95
0.609188
526
4,593
4.998099
0.193916
0.034614
0.078737
0.077216
0.54089
0.527957
0.476987
0.429821
0.351845
0.351845
0
0.018683
0.289136
4,593
158
96
29.06962
0.786524
0
0
0.310345
0
0
0.004572
0
0
0
0
0
0
1
0.181034
false
0
0.034483
0.051724
0.275862
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14f0fe0a265ae04fc3df046e751c6650ca481d2f
2,188
py
Python
mow/strong/phase2/predict.py
tychen5/Audio_Tagging_Challenge
4602400433d37958d95ebf40a3c0798d17cc53c6
[ "MIT" ]
3
2019-01-22T03:14:32.000Z
2019-08-17T02:22:06.000Z
mow/strong/phase2/predict.py
tychen5/Audio_Tagging_Challenge
4602400433d37958d95ebf40a3c0798d17cc53c6
[ "MIT" ]
null
null
null
mow/strong/phase2/predict.py
tychen5/Audio_Tagging_Challenge
4602400433d37958d95ebf40a3c0798d17cc53c6
[ "MIT" ]
null
null
null
''' ################################### Modified from Mike's predict_acc.py ################################### ''' import os import sys import random import pickle import numpy as np import pandas as pd from keras.utils import to_categorical from keras.models import load_model from sklearn.metrics import accuracy_s...
25.741176
111
0.706581
375
2,188
3.904
0.272
0.032787
0.040984
0.051913
0.246585
0.121585
0.088798
0
0
0
0
0.038304
0.105119
2,188
84
112
26.047619
0.709397
0.048903
0
0
0
0
0.199807
0.144788
0
0
0
0
0
1
0
false
0
0.157895
0
0.157895
0.122807
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14f3c981162924e41ccbbaedac2e774e7979b26d
2,267
py
Python
environments/locomotion/scene_stadium.py
wx-b/unsup-3d-keypoints
8a2e687b802d19b750aeadffa9bb6970f5956d4d
[ "MIT" ]
28
2021-06-15T03:38:14.000Z
2022-03-15T04:12:41.000Z
environments/locomotion/scene_stadium.py
wx-b/unsup-3d-keypoints
8a2e687b802d19b750aeadffa9bb6970f5956d4d
[ "MIT" ]
3
2021-12-25T17:57:47.000Z
2022-03-24T09:52:43.000Z
environments/locomotion/scene_stadium.py
wx-b/unsup-3d-keypoints
8a2e687b802d19b750aeadffa9bb6970f5956d4d
[ "MIT" ]
5
2021-11-02T17:38:36.000Z
2021-12-11T02:57:39.000Z
import os import pybullet_data from environments.locomotion.scene_abstract import Scene import pybullet as p class StadiumScene(Scene): zero_at_running_strip_start_line = True # if False, center of coordinates (0,0,0) will be at the middle of the stadium stadium_halflen = 105 * 0.25 # FOOBALL_FIELD_HALFLEN ...
42.773585
123
0.666961
295
2,267
4.918644
0.444068
0.024121
0.028946
0.037216
0.209511
0.16816
0.114404
0.057891
0.057891
0
0
0.025656
0.243494
2,267
52
124
43.596154
0.820408
0.32554
0
0
0
0.030303
0.103768
0.01853
0
0
0
0
0
1
0.060606
false
0
0.121212
0
0.484848
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14f46540bddbc3d9b12cae1ca8aeeee6d852e367
522
py
Python
src/python/providers/movement/standard_move.py
daboross/dxnr
8f73e9d5f4473b97dcfe05804a40c9a0826e51b6
[ "MIT" ]
null
null
null
src/python/providers/movement/standard_move.py
daboross/dxnr
8f73e9d5f4473b97dcfe05804a40c9a0826e51b6
[ "MIT" ]
null
null
null
src/python/providers/movement/standard_move.py
daboross/dxnr
8f73e9d5f4473b97dcfe05804a40c9a0826e51b6
[ "MIT" ]
null
null
null
from defs import * from utilities import warnings def move_to(creep: Creep, target: RoomPosition) -> int: result = creep.moveTo(target, { 'ignoreCreeps': True, }) if result == ERR_NO_PATH: result = creep.moveTo(target, { 'ignoreCreeps': False, }) if result != OK an...
27.473684
89
0.603448
57
522
5.421053
0.561404
0.106796
0.110032
0.148867
0.226537
0
0
0
0
0
0
0
0.272031
522
18
90
29
0.813158
0
0
0.285714
0
0
0.132184
0
0
0
0
0
0
1
0.071429
false
0
0.142857
0
0.285714
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14f8101f9071baa5ade2230825bde845717654bf
4,817
py
Python
pyshop/helpers/timeseries.py
sintef-energy/pyshop
2991372f023e75c69ab83ece54a47fa9c3b73d60
[ "MIT" ]
1
2022-03-08T07:20:16.000Z
2022-03-08T07:20:16.000Z
pyshop/helpers/timeseries.py
sintef-energy/pyshop
2991372f023e75c69ab83ece54a47fa9c3b73d60
[ "MIT" ]
2
2022-02-09T13:53:16.000Z
2022-03-16T14:36:21.000Z
pyshop/helpers/timeseries.py
sintef-energy/pyshop
2991372f023e75c69ab83ece54a47fa9c3b73d60
[ "MIT" ]
null
null
null
from typing import Dict, Sequence, Union from .typing_annotations import DataFrameOrSeries import pandas as pd import numpy as np def create_constant_time_series(value:Union[int,float], start:pd.Timestamp) -> pd.Series: return pd.Series([value], index=[start]) def remove_consecutive_duplicates(df:DataFrameOrSeri...
44.192661
166
0.686734
651
4,817
4.940092
0.299539
0.041978
0.028296
0.022388
0.139614
0.107898
0.043532
0.029851
0.029851
0.029851
0
0.005606
0.222338
4,817
108
167
44.601852
0.85291
0.277143
0
0.104478
0
0
0.01196
0
0
0
0
0
0
1
0.059701
false
0
0.059701
0.014925
0.179104
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14fbebb9df421f915a2a0442fc7bcdd045fbbef0
2,787
py
Python
openweave/tlv/schema/tests/test_VENDOR.py
robszewczyk/openweave-tlv-schema
c0acbccce4fcaf213a09261f79d6a141ae94f7e8
[ "Apache-2.0" ]
1
2020-05-19T22:52:27.000Z
2020-05-19T22:52:27.000Z
openweave/tlv/schema/tests/test_VENDOR.py
robszewczyk/openweave-tlv-schema
c0acbccce4fcaf213a09261f79d6a141ae94f7e8
[ "Apache-2.0" ]
null
null
null
openweave/tlv/schema/tests/test_VENDOR.py
robszewczyk/openweave-tlv-schema
c0acbccce4fcaf213a09261f79d6a141ae94f7e8
[ "Apache-2.0" ]
1
2021-02-15T16:14:17.000Z
2021-02-15T16:14:17.000Z
#!/usr/bin/env python3 # # Copyright (c) 2020 Google LLC. # All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2....
34.8375
76
0.614281
315
2,787
5.384127
0.342857
0.100236
0.051887
0.080189
0.548349
0.53066
0.465802
0.40684
0.40684
0.40684
0
0.02887
0.279153
2,787
79
77
35.278481
0.815331
0.239684
0
0.533333
0
0
0.348904
0
0
0
0.00286
0
0.288889
1
0.088889
false
0
0.044444
0
0.155556
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14fc3caa752fb624866d5cfe60083c14dfb17ed9
336
py
Python
app/services/events.py
fufuok/FF.PyAdmin
031fcafe70ecb78488876d0c61e30ca4fb4290af
[ "MIT" ]
56
2019-11-26T15:42:29.000Z
2022-03-10T12:28:07.000Z
app/services/events.py
fufuok/FF.PyAdmin
031fcafe70ecb78488876d0c61e30ca4fb4290af
[ "MIT" ]
4
2020-03-20T01:51:47.000Z
2022-03-30T22:10:56.000Z
app/services/events.py
fufuok/FF.PyAdmin
031fcafe70ecb78488876d0c61e30ca4fb4290af
[ "MIT" ]
15
2019-11-26T15:42:33.000Z
2022-03-09T05:41:44.000Z
# -*- coding:utf-8 -*- """ events.py ~~~~~~~~ 自定义信号, 事件 :author: Fufu, 2019/12/20 """ from blinker import signal # 用户登录成功 event_user_logined = signal('event_user_logined') # 系统管理操作(用户授权/权限组管理等) event_sys_admin = signal('event_sys_admin') # app 上下文环境示例 event_async_with_app_demo = signal('event_async_...
17.684211
63
0.690476
47
336
4.595745
0.638298
0.152778
0.148148
0.157407
0.194444
0
0
0
0
0
0
0.031802
0.157738
336
18
64
18.666667
0.731449
0.345238
0
0
0
0
0.300518
0.129534
0
0
0
0
0
1
0
false
0
0.25
0
0.25
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14fe677b2376deed69fc96644a350773e0c985ca
1,635
py
Python
ai_finger_counting.py
dnovai/advancedCVProject
de3e75247c7b7ae617a578800c51c42fadbdc844
[ "MIT" ]
1
2022-02-25T02:36:02.000Z
2022-02-25T02:36:02.000Z
ai_finger_counting.py
dnovai/advancedCVProject
de3e75247c7b7ae617a578800c51c42fadbdc844
[ "MIT" ]
null
null
null
ai_finger_counting.py
dnovai/advancedCVProject
de3e75247c7b7ae617a578800c51c42fadbdc844
[ "MIT" ]
null
null
null
import cv2 import os import time import advancedcv.hand_tracking as htm import numpy as np import itertools patterns = np.array(list(itertools.product([0, 1], repeat=5))) p_time = 0 cap = cv2.VideoCapture(0) # w_cam, h_cam = 648, 480 # cap.set(3, w_cam) # cap.set(4, h_cam) folder_path = "finger_images" my_list = os...
24.044118
100
0.601223
260
1,635
3.6
0.373077
0.038462
0.038462
0.051282
0.215812
0.132479
0.068376
0
0
0
0
0.050654
0.251376
1,635
68
101
24.044118
0.714052
0.048318
0
0.130435
0
0
0.055448
0.029658
0
0
0
0
0
1
0
false
0
0.130435
0
0.130435
0.043478
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
14ff741d0e6a57229801a6e6be5e98e3344172dd
3,085
py
Python
convert.py
AndreiBaias/PAS
8905f86db15806647ab7879fd32c9057a9b93868
[ "MIT" ]
null
null
null
convert.py
AndreiBaias/PAS
8905f86db15806647ab7879fd32c9057a9b93868
[ "MIT" ]
3
2022-03-30T15:43:12.000Z
2022-03-30T15:43:41.000Z
convert.py
AndreiBaias/PAS
8905f86db15806647ab7879fd32c9057a9b93868
[ "MIT" ]
null
null
null
import numpy as np import collections, numpy import glob from PIL import Image from matplotlib.pyplot import cm nrImages = 1 imageSize = 449 finalImageSize = 449 ImageNumber = 0 sourceFolder = 'images' # sourceFolder = "testInput" destinationFolder = 'final_text_files_2' # destinationFolder = "testOutpu...
24.68
83
0.491086
373
3,085
4.048257
0.211796
0.019868
0.015894
0.037086
0.493377
0.417881
0.417881
0.377483
0.349669
0.349669
0
0.03443
0.359806
3,085
125
84
24.68
0.730127
0.23436
0
0.466667
0
0
0.0271
0
0
0
0
0
0
1
0.033333
false
0
0.055556
0
0.122222
0.022222
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
09003d15be83a3b390c12acd09219a14eb6cb09a
15,291
py
Python
kempnn/trainer.py
ttyhasebe/KEMPNN
d52ec0a82d758431120c0831738b104a535f2264
[ "BSD-3-Clause" ]
4
2022-01-14T08:43:52.000Z
2022-03-02T11:06:03.000Z
kempnn/trainer.py
ttyhasebe/KEMPNN
d52ec0a82d758431120c0831738b104a535f2264
[ "BSD-3-Clause" ]
null
null
null
kempnn/trainer.py
ttyhasebe/KEMPNN
d52ec0a82d758431120c0831738b104a535f2264
[ "BSD-3-Clause" ]
null
null
null
# # Copyright 2021 by Tatsuya Hasebe, Hitachi, Ltd. # All rights reserved. # # This file is part of the KEMPNN package, # and is released under the "BSD 3-Clause License". Please see the LICENSE # file that should have been included as part of this package. # import datetime import json import os import pickle import ...
33.459519
80
0.511804
1,737
15,291
4.219344
0.153138
0.020467
0.018556
0.011461
0.338109
0.27207
0.233183
0.203848
0.152408
0.145586
0
0.00828
0.391799
15,291
456
81
33.532895
0.779785
0.092538
0
0.221893
0
0
0.100355
0.021649
0
0
0
0
0.008876
1
0.02071
false
0.002959
0.029586
0.002959
0.076923
0.02071
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0903fb75c589ec651b3db5a68d90addf520bf4a1
696
py
Python
app.py
KaceyHirth/Library-DBMS-System
40b425ed5c7b46627b7c48724b2d20e7a64cf025
[ "MIT" ]
null
null
null
app.py
KaceyHirth/Library-DBMS-System
40b425ed5c7b46627b7c48724b2d20e7a64cf025
[ "MIT" ]
null
null
null
app.py
KaceyHirth/Library-DBMS-System
40b425ed5c7b46627b7c48724b2d20e7a64cf025
[ "MIT" ]
null
null
null
from flask import Flask from flask_sqlalchemy import SQLAlchemy from flask_bootstrap import Bootstrap from flask_login import LoginManager, UserMixin, login_user, login_required, logout_user, current_user import os basePath = os.path.abspath(os.path.dirname(__file__)) template_dir = os.path.join(basePath, 'templates')...
27.84
102
0.806034
93
696
5.698925
0.462366
0.067925
0.045283
0
0
0
0
0
0
0
0
0
0.093391
696
24
103
29
0.839937
0
0
0
0
0
0.165706
0.131124
0
0
0
0
0
1
0
false
0
0.294118
0
0.294118
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
09047cdff4106518ddb7312a4ad2e4fbacd7ac5f
6,167
py
Python
xdl/blueprints/chasm2.py
mcrav/xdl
c120a1cf50a9b668a79b118700930eb3d60a9298
[ "MIT" ]
null
null
null
xdl/blueprints/chasm2.py
mcrav/xdl
c120a1cf50a9b668a79b118700930eb3d60a9298
[ "MIT" ]
null
null
null
xdl/blueprints/chasm2.py
mcrav/xdl
c120a1cf50a9b668a79b118700930eb3d60a9298
[ "MIT" ]
null
null
null
from ..constants import JSON_PROP_TYPE from .base_blueprint import BaseProcedureBlueprint from ..steps import placeholders from ..reagents import Reagent DEFAULT_VESSEL: str = 'reactor' DEFAULT_SEPARATION_VESSEL: str = 'separator' DEFAULT_EVAPORATION_VESSEL: str = 'rotavap' class Chasm2(BaseProcedureBlueprint): ...
31.304569
78
0.592995
593
6,167
5.939292
0.175379
0.077513
0.059341
0.043725
0.22402
0.105338
0.0636
0.0636
0.037479
0.037479
0
0.024441
0.303389
6,167
196
79
31.464286
0.795391
0
0
0.273256
0
0
0.089995
0.00373
0
0
0
0
0
1
0.05814
false
0
0.023256
0.005814
0.162791
0.011628
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
09050f807c744801e59522d4a44d059ae276259e
570
py
Python
pandaharvester/harvestercore/plugin_base.py
tsulaiav/harvester
ca3f78348019dd616738f2da7d50e81700a8e6b9
[ "Apache-2.0" ]
11
2017-06-01T10:16:58.000Z
2019-11-22T08:41:36.000Z
pandaharvester/harvestercore/plugin_base.py
tsulaiav/harvester
ca3f78348019dd616738f2da7d50e81700a8e6b9
[ "Apache-2.0" ]
34
2016-10-25T19:15:24.000Z
2021-03-05T12:59:04.000Z
pandaharvester/harvestercore/plugin_base.py
tsulaiav/harvester
ca3f78348019dd616738f2da7d50e81700a8e6b9
[ "Apache-2.0" ]
17
2016-10-24T13:29:45.000Z
2021-03-23T17:35:27.000Z
from future.utils import iteritems from pandaharvester.harvestercore import core_utils class PluginBase(object): def __init__(self, **kwarg): for tmpKey, tmpVal in iteritems(kwarg): setattr(self, tmpKey, tmpVal) # make logger def make_logger(self, base_log, token=None, method_name=Non...
33.529412
96
0.685965
72
570
5.222222
0.527778
0.079787
0.06383
0
0
0
0
0
0
0
0
0
0.22807
570
16
97
35.625
0.854545
0.019298
0
0
0
0
0.019749
0
0
0
0
0
0
1
0.166667
false
0
0.166667
0
0.5
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0905ad16307a5af70bde741ea4817b4a93ef0e8a
1,762
py
Python
preprocessing/MEG/filtering.py
athiede13/neural_sources
3435f26a4b99b7f705c7ed6b43ab9c741fdd1502
[ "MIT" ]
null
null
null
preprocessing/MEG/filtering.py
athiede13/neural_sources
3435f26a4b99b7f705c7ed6b43ab9c741fdd1502
[ "MIT" ]
null
null
null
preprocessing/MEG/filtering.py
athiede13/neural_sources
3435f26a4b99b7f705c7ed6b43ab9c741fdd1502
[ "MIT" ]
null
null
null
""" Filtering of MEG data Created on 13.9.2017 @author: Anja Thiede <anja.thiede@helsinki.fi> """ import os from os import walk import datetime import numpy as np import mne now = datetime.datetime.now() def processedcount(file_list): n = 0 for item in file_list: if item[-8:-4] == 'filt': ...
27.53125
88
0.611805
249
1,762
4.184739
0.497992
0.03071
0.024952
0.023033
0.028791
0
0
0
0
0
0
0.020898
0.266742
1,762
63
89
27.968254
0.785604
0.238365
0
0
0
0
0.086298
0.031794
0
0
0
0
0
1
0.025
false
0
0.125
0
0.175
0.05
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
09098bec23281af47e835daa26b81dccca6d2e2c
22,972
py
Python
src/pds_doi_service/core/db/doi_database.py
NASA-PDS/pds-doi-service
b994381a5757700229865e8fe905553559684e0d
[ "Apache-2.0" ]
2
2020-11-03T19:29:11.000Z
2021-09-26T01:42:41.000Z
src/pds_doi_service/core/db/doi_database.py
NASA-PDS/pds-doi-service
b994381a5757700229865e8fe905553559684e0d
[ "Apache-2.0" ]
222
2020-05-07T21:05:23.000Z
2021-12-16T22:14:54.000Z
src/pds_doi_service/core/db/doi_database.py
NASA-PDS/pds-doi-service
b994381a5757700229865e8fe905553559684e0d
[ "Apache-2.0" ]
null
null
null
# # Copyright 2020–21, by the California Institute of Technology. ALL RIGHTS # RESERVED. United States Government Sponsorship acknowledged. Any commercial # use must be negotiated with the Office of Technology Transfer at the # California Institute of Technology. # """ =============== doi_database.py =============...
36.176378
119
0.632596
2,923
22,972
4.759152
0.138898
0.056933
0.01409
0.02135
0.400906
0.316081
0.276831
0.23715
0.188412
0.157717
0
0.00261
0.282779
22,972
634
120
36.233438
0.841648
0.292399
0
0.282895
0
0
0.147412
0.009331
0
0
0
0
0
1
0.092105
false
0
0.032895
0.026316
0.203947
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0909f5e66b19795a40b888634a2cf23b87f0cd63
786
py
Python
amnesia/modules/search/views/tag.py
silenius/amnesia
ba5e3ac79a89da599c22206ad1fd17541855f74c
[ "BSD-2-Clause" ]
4
2015-05-08T10:57:56.000Z
2021-05-17T04:32:11.000Z
amnesia/modules/search/views/tag.py
silenius/amnesia
ba5e3ac79a89da599c22206ad1fd17541855f74c
[ "BSD-2-Clause" ]
6
2019-12-26T16:43:41.000Z
2022-02-28T11:07:54.000Z
amnesia/modules/search/views/tag.py
silenius/amnesia
ba5e3ac79a89da599c22206ad1fd17541855f74c
[ "BSD-2-Clause" ]
1
2019-09-23T14:08:11.000Z
2019-09-23T14:08:11.000Z
# -*- coding: utf-8 -*- # pylint: disable=E1101 from pyramid.view import view_config from pyramid.httpexceptions import HTTPNotFound from amnesia.modules.tag import Tag from amnesia.modules.search import SearchResource def includeme(config): ''' Pyramid includeme func''' config.scan(__name__) @view_confi...
23.117647
70
0.683206
99
786
5.252525
0.444444
0.046154
0.069231
0
0
0
0
0
0
0
0
0.012618
0.193384
786
33
71
23.818182
0.807571
0.085242
0
0
0
0
0.076056
0.043662
0
0
0
0
0
1
0.105263
false
0
0.210526
0
0.368421
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
090a042fdb172133fc8a7549c6014b2194047447
12,410
py
Python
compute_mainmodes.py
mehrdad-bm/mobility_shift
242f12b60dc8e07e3da13b5f1199456fd0fd697e
[ "MIT" ]
1
2020-06-24T12:49:49.000Z
2020-06-24T12:49:49.000Z
compute_mainmodes.py
mehrdad-bm/mobility_shift
242f12b60dc8e07e3da13b5f1199456fd0fd697e
[ "MIT" ]
null
null
null
compute_mainmodes.py
mehrdad-bm/mobility_shift
242f12b60dc8e07e3da13b5f1199456fd0fd697e
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Thu Feb 27 00:17:55 2020 @author: mehrdad """ import json import numpy as np import pandas as pd import time import math #import blist import tslib.mining import tslib.common import tslib.trip_detection import tslib.trip STORE_RESULTS = False #output_fol...
40.032258
135
0.652458
1,641
12,410
4.606947
0.175503
0.053704
0.046032
0.035185
0.41918
0.363757
0.294577
0.246693
0.197355
0.187037
0
0.011665
0.21249
12,410
309
136
40.161812
0.761895
0.319581
0
0.167702
0
0
0.100156
0.022616
0
0
0
0.003236
0
1
0.068323
false
0.006211
0.055901
0
0.149068
0.062112
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
090a8d868906c9c97d5b54db58497792e9cd606d
24,054
py
Python
envs/env.py
CMU-Light-Curtains/SafetyEnvelopes
e2b32f99437ea36c8b22f97470c5a7f406d3ec78
[ "BSD-3-Clause" ]
null
null
null
envs/env.py
CMU-Light-Curtains/SafetyEnvelopes
e2b32f99437ea36c8b22f97470c5a7f406d3ec78
[ "BSD-3-Clause" ]
null
null
null
envs/env.py
CMU-Light-Curtains/SafetyEnvelopes
e2b32f99437ea36c8b22f97470c5a7f406d3ec78
[ "BSD-3-Clause" ]
null
null
null
from abc import ABC, abstractmethod import gym import matplotlib.pyplot as plt import numpy as np from pathlib import Path import time from setcpp import SmoothnessDPL1Cost, SmoothnessDPPairGridCost, SmoothnessGreedy import tqdm from typing import Optional, Tuple, NoReturn from data.synthia import Frame, append_xyz_to...
46.436293
130
0.547435
2,692
24,054
4.706538
0.180906
0.03899
0.016575
0.009945
0.23236
0.149961
0.115943
0.080189
0.059669
0.056196
0
0.009218
0.278374
24,054
517
131
46.526112
0.720705
0.326058
0
0.15748
0
0
0.034915
0
0
0
0
0
0.011811
1
0.102362
false
0.003937
0.055118
0.023622
0.216535
0.007874
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
090ac8191b92a41692dec58a6457de7f58261791
17,884
py
Python
pw_console/py/pw_console/plugins/clock_pane.py
octml/pigweed
e273d46024ef7b5a7c7ec584e4aaada41c541fc4
[ "Apache-2.0" ]
86
2021-03-09T23:49:40.000Z
2022-03-30T08:14:51.000Z
pw_console/py/pw_console/plugins/clock_pane.py
octml/pigweed
e273d46024ef7b5a7c7ec584e4aaada41c541fc4
[ "Apache-2.0" ]
4
2021-07-27T20:32:03.000Z
2022-03-08T10:39:07.000Z
pw_console/py/pw_console/plugins/clock_pane.py
octml/pigweed
e273d46024ef7b5a7c7ec584e4aaada41c541fc4
[ "Apache-2.0" ]
22
2021-03-11T15:15:47.000Z
2022-02-09T06:16:36.000Z
# Copyright 2021 The Pigweed Authors # # Licensed under the Apache License, Version 2.0 (the "License"); you may not # use this file except in compliance with the License. You may obtain a copy of # the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in ...
41.207373
132
0.597238
2,021
17,884
5.158832
0.213756
0.05563
0.036831
0.014579
0.181278
0.13217
0.118262
0.075005
0.05352
0.05352
0
0.001452
0.306755
17,884
433
133
41.30254
0.83949
0.364684
0
0.364706
0
0
0.209482
0.080991
0
0
0
0
0
1
0.043137
false
0
0.035294
0
0.117647
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
090c9c265a0fb2fb0dad7a18bd49965eaa38157a
3,816
py
Python
mono/model/mono_autoencoder/layers.py
Jenaer/FeatDepth
64128b03873b27ffa5e99a5cb1712dd8aa15cb0d
[ "MIT" ]
179
2020-08-21T08:57:22.000Z
2022-03-26T21:55:20.000Z
mono/model/mono_autoencoder/layers.py
sconlyshootery/feature_metric_depth
550420b3fb51a027549716b74c6fbce41651d3a5
[ "MIT" ]
84
2020-08-30T14:25:19.000Z
2022-03-08T12:29:37.000Z
mono/model/mono_autoencoder/layers.py
sconlyshootery/feature_metric_depth
550420b3fb51a027549716b74c6fbce41651d3a5
[ "MIT" ]
31
2020-10-01T12:12:19.000Z
2022-03-06T08:04:18.000Z
from __future__ import absolute_import, division, print_function import torch import torch.nn as nn import torch.nn.functional as F class SSIM(nn.Module): def __init__(self): super(SSIM, self).__init__() self.mu_x_pool = nn.AvgPool2d(3, 1) self.mu_y_pool = nn.AvgPool2d(3, 1) s...
33.473684
128
0.586478
577
3,816
3.637782
0.183709
0.034302
0.026679
0.042878
0.400667
0.335398
0.315388
0.292997
0.243449
0.16627
0
0.037024
0.270964
3,816
114
129
33.473684
0.717469
0
0
0.221053
0
0
0.00917
0
0
0
0
0
0
1
0.147368
false
0
0.042105
0.010526
0.336842
0.010526
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
090caec635d034601a9a45a30d2d0ee7c652da16
2,413
py
Python
pdnn/helpers/the_graveyard.py
alamorre/pdnn-experiment
b07b509e8610c324b11aa81204cfca06b8437f16
[ "BSD-2-Clause-FreeBSD" ]
17
2017-06-14T16:36:12.000Z
2021-01-31T18:16:10.000Z
pdnn/helpers/the_graveyard.py
alamorre/pdnn-experiment
b07b509e8610c324b11aa81204cfca06b8437f16
[ "BSD-2-Clause-FreeBSD" ]
1
2018-02-26T16:04:48.000Z
2018-03-01T06:42:57.000Z
pdnn/helpers/the_graveyard.py
alamorre/pdnn-experiment
b07b509e8610c324b11aa81204cfca06b8437f16
[ "BSD-2-Clause-FreeBSD" ]
5
2017-09-12T13:20:02.000Z
2019-02-06T08:41:58.000Z
import numpy as np from plato.core import as_floatx, create_shared_variable, symbolic, add_update from theano import tensor as tt class FutureWeightGradCalculator(object): def __init__(self, kp, kd, shapes): """ :param kp: :param kd: :param shapes: A tuple that specifies (minibatc...
29.426829
86
0.61293
427
2,413
3.199063
0.203747
0.061493
0.102489
0.096633
0.317716
0.259151
0.225476
0.225476
0.17716
0
0
0.006098
0.252383
2,413
82
87
29.426829
0.751109
0.123498
0
0.045455
0
0
0
0
0
0
0
0
0
1
0.068182
false
0
0.068182
0
0.204545
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
090cd84d945d6fe0adc3e503a0af7a8286c3e451
5,603
py
Python
shop/views/cart_views.py
cuescience/cuescience-shop
bf5ea159f9277d1d6ab7acfcad3f2517723a225c
[ "MIT" ]
null
null
null
shop/views/cart_views.py
cuescience/cuescience-shop
bf5ea159f9277d1d6ab7acfcad3f2517723a225c
[ "MIT" ]
null
null
null
shop/views/cart_views.py
cuescience/cuescience-shop
bf5ea159f9277d1d6ab7acfcad3f2517723a225c
[ "MIT" ]
null
null
null
import logging from cart import Cart from django.conf import settings from django.contrib.sites.models import get_current_site from django.utils import translation from mailtemplates.models import EMailTemplate from payment.models import PrePayment from payment.services.paypal import paypal from shop.checkout_wizard im...
35.916667
116
0.641442
621
5,603
5.624799
0.238325
0.022903
0.014887
0.014601
0.338391
0.308045
0.279702
0.223876
0.223876
0.223876
0
0.006023
0.259147
5,603
155
117
36.148387
0.835461
0.016955
0
0.3
0
0
0.091553
0.044323
0
0
0
0.006452
0
1
0.05
false
0
0.125
0.008333
0.291667
0.016667
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
090d1859bb4cd8c066260b4c5385d95d8db098d8
498
py
Python
solutions/python3/984.py
sm2774us/amazon_interview_prep_2021
f580080e4a6b712b0b295bb429bf676eb15668de
[ "MIT" ]
42
2020-08-02T07:03:49.000Z
2022-03-26T07:50:15.000Z
solutions/python3/984.py
ajayv13/leetcode
de02576a9503be6054816b7444ccadcc0c31c59d
[ "MIT" ]
null
null
null
solutions/python3/984.py
ajayv13/leetcode
de02576a9503be6054816b7444ccadcc0c31c59d
[ "MIT" ]
40
2020-02-08T02:50:24.000Z
2022-03-26T15:38:10.000Z
class Solution: def strWithout3a3b(self, A: int, B: int) -> str: if not A and not B: return '' if A >= B: a = 2 if A >= 2 else 1 b = 2 if A - a - B < 1 and B >= 2 else 1 if B else 0 return a * 'a' + b * 'b' + self.strWithout3a3b(A - a, B - b) else: ...
41.5
72
0.421687
89
498
2.359551
0.191011
0.047619
0.114286
0.057143
0.209524
0.209524
0
0
0
0
0
0.080586
0.451807
498
12
73
41.5
0.688645
0
0
0
0
0
0.008016
0
0
0
0
0
0
1
0.090909
false
0
0
0
0.363636
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
090e30708a609fe03c64ef91c96c83167bd3b51a
4,178
py
Python
niftypad/api/__init__.py
AMYPAD/NiftyPAD
80bc005ca409f503a8df3a13a071d2f3f413553f
[ "Apache-2.0" ]
null
null
null
niftypad/api/__init__.py
AMYPAD/NiftyPAD
80bc005ca409f503a8df3a13a071d2f3f413553f
[ "Apache-2.0" ]
2
2021-09-06T21:38:43.000Z
2021-10-05T11:07:08.000Z
niftypad/api/__init__.py
AMYPAD/NiftyPAD
80bc005ca409f503a8df3a13a071d2f3f413553f
[ "Apache-2.0" ]
null
null
null
"""Clean API""" import logging from pathlib import Path from . import readers log = logging.getLogger(__name__) def kinetic_model(src, dst=None, params=None, model='srtmb_basis', input_interp_method='linear', w=None, r1=1, k2p=0.000250, beta_lim=None, n_beta=40, linear_phase_start=500, ...
43.978947
99
0.66539
629
4,178
4.195548
0.284579
0.041682
0.025767
0.022736
0.200834
0.158393
0.158393
0.13111
0.089428
0.089428
0
0.020782
0.228339
4,178
94
100
44.446809
0.797767
0.4045
0
0.04
0
0.02
0.104044
0.032435
0
0
0
0
0.02
1
0.02
false
0
0.18
0
0.2
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
09112b983864e08dcf3260b85da5bc6f69581ccc
1,360
py
Python
cli/src/accretion_cli/_commands/raw/__init__.py
mattsb42/accretion
7cce5f4ed6d290bd9314b116be91417ded6b0f64
[ "Apache-2.0" ]
1
2019-10-19T11:18:17.000Z
2019-10-19T11:18:17.000Z
cli/src/accretion_cli/_commands/raw/__init__.py
mattsb42/accretion
7cce5f4ed6d290bd9314b116be91417ded6b0f64
[ "Apache-2.0" ]
13
2019-06-10T07:03:26.000Z
2019-11-06T01:09:38.000Z
cli/src/accretion_cli/_commands/raw/__init__.py
mattsb42/accretion
7cce5f4ed6d290bd9314b116be91417ded6b0f64
[ "Apache-2.0" ]
null
null
null
"""Raw CLI commands.""" from typing import IO import click from ..._templates import artifact_builder, replication_listener, source_region_core from ..._util.workers_zip import build_and_write_workers from .add import add_to_deployment from .init import init_project _TEMPLATES = {"builder": artifact_builder, "listen...
27.2
111
0.733088
191
1,360
5.015707
0.319372
0.037578
0.05428
0.075157
0.236952
0.174322
0.135699
0
0
0
0
0.00172
0.144853
1,360
49
112
27.755102
0.822012
0.264706
0
0.095238
0
0
0.066028
0
0
0
0
0
0
1
0.142857
false
0
0.285714
0
0.428571
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0914e1a28a157c416a8a2c605a43e0263d7aefd4
701
py
Python
distil/utils/config_helper.py
ansunsujoe/distil
cf6cae2b88ef129d09c159aae0569978190e9f98
[ "MIT" ]
83
2021-01-06T06:50:30.000Z
2022-03-31T05:16:32.000Z
distil/utils/config_helper.py
ansunsujoe/distil
cf6cae2b88ef129d09c159aae0569978190e9f98
[ "MIT" ]
30
2021-02-27T06:09:47.000Z
2021-12-23T11:03:36.000Z
distil/utils/config_helper.py
ansunsujoe/distil
cf6cae2b88ef129d09c159aae0569978190e9f98
[ "MIT" ]
13
2021-03-05T18:26:58.000Z
2022-03-12T01:53:17.000Z
import json import os def read_config_file(filename): """ Loads and returns a configuration from the supplied filename / path. Parameters ---------- filename: string The name/path of the config file to load. Returns ---------- config: object The resulting configura...
24.172414
72
0.600571
86
701
4.872093
0.569767
0.071599
0.066826
0
0
0
0
0
0
0
0
0.003953
0.278174
701
29
73
24.172414
0.824111
0.350927
0
0
0
0
0.165842
0
0
0
0
0
0
1
0.090909
false
0
0.181818
0
0.363636
0.090909
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0915536721dec4fcf77cccd8a1e6caa20567b01f
1,944
py
Python
Easy/26.py
Hellofafar/Leetcode
7a459e9742958e63be8886874904e5ab2489411a
[ "CNRI-Python" ]
6
2017-09-25T18:05:50.000Z
2019-03-27T00:23:15.000Z
Easy/26.py
Hellofafar/Leetcode
7a459e9742958e63be8886874904e5ab2489411a
[ "CNRI-Python" ]
1
2017-10-29T12:04:41.000Z
2018-08-16T18:00:37.000Z
Easy/26.py
Hellofafar/Leetcode
7a459e9742958e63be8886874904e5ab2489411a
[ "CNRI-Python" ]
null
null
null
# ------------------------------ # 26. Remove Duplicates from Sorted Array # # Description: # Given a sorted array, remove the duplicates in place such that each element appear only once and return the new length. # Do not allocate extra space for another array, you must do this in place with constant memory. # # For...
34.714286
161
0.587963
270
1,944
4.192593
0.492593
0.029152
0.031802
0.045936
0.132509
0.077739
0.077739
0.077739
0.077739
0.077739
0
0.023138
0.28858
1,944
56
162
34.714286
0.795372
0.640432
0
0.1
0
0
0.012422
0
0
0
0
0
0
1
0.05
false
0
0
0
0.2
0.05
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0919fdf2ce825bd818ddbc07ef5fd14d15e3d623
6,373
py
Python
ncpsort/cluster_synthetic_data/inference_plot_synthetic.py
yueqiw/ncp-sort
045361d93bc9d8ef2596cdda7c485b6ffd77dd81
[ "MIT" ]
2
2019-08-06T10:10:37.000Z
2020-09-30T12:11:28.000Z
ncpsort/cluster_synthetic_data/inference_plot_synthetic.py
yueqiw/ncp-sort
045361d93bc9d8ef2596cdda7c485b6ffd77dd81
[ "MIT" ]
1
2021-04-14T12:09:02.000Z
2021-07-19T04:06:05.000Z
ncpsort/cluster_synthetic_data/inference_plot_synthetic.py
yueqiw/ncp-sort
045361d93bc9d8ef2596cdda7c485b6ffd77dd81
[ "MIT" ]
null
null
null
"""Plot clustered spikes Usage: python ncpsort.cluster_synthetic_data.inference_plot_synthetic \ --inference_dir ./inference_synthetic_N-1000/cluster_S-150-beam_NCP-10000 \ --min_cls_size 50 --plot_type overlay or --inference_dir --min_cls_size 50 --plot_type tsne """ import numpy as np imp...
45.198582
132
0.661541
927
6,373
4.210356
0.197411
0.026134
0.03587
0.024596
0.415322
0.3464
0.287215
0.255957
0.207789
0.182168
0
0.024128
0.213086
6,373
140
133
45.521429
0.754138
0.102464
0
0.108911
0
0
0.102402
0.018587
0
0
0
0
0
1
0
false
0
0.108911
0
0.108911
0.039604
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
091cc72f8820abb4968972f3dd6375ff59862250
27,920
py
Python
src/loanpy/loanfinder.py
martino-vic/Framework-for-computer-aided-borrowing-detection
efce90390db14009fd27d96f32b1252a74aac1ef
[ "AFL-3.0" ]
4
2020-05-18T15:10:44.000Z
2020-10-10T05:06:26.000Z
src/loanpy/loanfinder.py
martino-vic/Soundchange
09a276e16daed2828b144227a21e53746cbb72e4
[ "AFL-3.0" ]
null
null
null
src/loanpy/loanfinder.py
martino-vic/Soundchange
09a276e16daed2828b144227a21e53746cbb72e4
[ "AFL-3.0" ]
null
null
null
""" Find (old) loanwords between two languages """ from ast import literal_eval from functools import partial from logging import getLogger from pandas import DataFrame, Series, concat, read_csv from tqdm import tqdm from panphon.distance import Distance from loanpy.helpers import gensim_multiword from loanpy.adrc ...
42.691131
79
0.641261
3,388
27,920
5.150826
0.178276
0.023838
0.015243
0.020686
0.354994
0.286746
0.263137
0.226348
0.206865
0.198384
0
0.012456
0.263861
27,920
653
80
42.756508
0.833212
0.624749
0
0.233333
0
0
0.087365
0.003365
0
0
0
0
0
1
0.06
false
0.006667
0.053333
0
0.18
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
091cd8c5724529a22ff674589812a3252e946388
1,172
py
Python
scripts/tmp.py
always-newbie161/pyprobml
eb70c84f9618d68235ef9ba7da147c009b2e4a80
[ "MIT" ]
2
2021-06-22T05:43:25.000Z
2021-06-22T08:40:16.000Z
scripts/tmp.py
always-newbie161/pyprobml
eb70c84f9618d68235ef9ba7da147c009b2e4a80
[ "MIT" ]
1
2021-04-19T12:25:26.000Z
2021-04-19T12:25:26.000Z
scripts/tmp.py
always-newbie161/pyprobml
eb70c84f9618d68235ef9ba7da147c009b2e4a80
[ "MIT" ]
1
2021-06-21T01:18:07.000Z
2021-06-21T01:18:07.000Z
import scipy from scipy.io import loadmat import random import numpy as np from sklearn.metrics import zero_one_loss from sklearn.naive_bayes import BernoulliNB,MultinomialNB,GaussianNB import matplotlib.pyplot as plt from sklearn.feature_selection import mutual_info_classif import os data = loadmat('../data/Xwindo...
25.478261
72
0.726962
180
1,172
4.6
0.461111
0.039855
0.039855
0.048309
0.10628
0
0
0
0
0
0
0.01462
0.124573
1,172
45
73
26.044444
0.792398
0
0
0
0
0
0.138343
0.023057
0
0
0
0
0
1
0
false
0
0.28125
0
0.28125
0.0625
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
091da9e65fdc6e81e6f673354f6d6d367b942a8d
5,961
py
Python
src/google/events/firebase/remoteconfig/v1/RemoteConfigEventData.py
eclipselu/google-cloudevents-python
aa7ae3a593f94bd5810f68ca9b7c36eb1e32192d
[ "Apache-2.0" ]
10
2020-09-19T10:43:34.000Z
2022-02-05T14:28:12.000Z
src/google/events/firebase/remoteconfig/v1/RemoteConfigEventData.py
eclipselu/google-cloudevents-python
aa7ae3a593f94bd5810f68ca9b7c36eb1e32192d
[ "Apache-2.0" ]
39
2020-07-15T22:58:46.000Z
2022-02-03T23:19:26.000Z
src/google/events/firebase/remoteconfig/v1/RemoteConfigEventData.py
eclipselu/google-cloudevents-python
aa7ae3a593f94bd5810f68ca9b7c36eb1e32192d
[ "Apache-2.0" ]
6
2020-06-30T12:58:02.000Z
2021-01-23T02:53:44.000Z
# Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
38.458065
264
0.694347
804
5,961
4.962687
0.217662
0.042105
0.055388
0.06015
0.284962
0.241604
0.186466
0.134336
0.072682
0.072682
0
0.001667
0.195101
5,961
154
265
38.707792
0.829929
0.153665
0
0.149425
0
0
0.051364
0.004773
0
0
0
0
0.08046
1
0.16092
false
0.011494
0.034483
0.034483
0.471264
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0925149b145bd29447f47950402ae72fc46058f2
18,374
py
Python
Converter_V09102021_gkernel_stop.py
SolaleT/KTMnet
ded379cceac560eccfc9a05e8e0c55292544f8b9
[ "MIT" ]
null
null
null
Converter_V09102021_gkernel_stop.py
SolaleT/KTMnet
ded379cceac560eccfc9a05e8e0c55292544f8b9
[ "MIT" ]
null
null
null
Converter_V09102021_gkernel_stop.py
SolaleT/KTMnet
ded379cceac560eccfc9a05e8e0c55292544f8b9
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """ Created on Wed May 8 12:43:42 2019 @author: solale In this version I will try to shrink the network and reduce the tensorization """ # Multilayer Perceptron import pandas import numpy # fix random seed for reproducibility seed = 7 numpy.random.seed(seed) # from tensorflow import set_rando...
39.770563
140
0.637967
2,584
18,374
4.301084
0.157895
0.008638
0.018805
0.020245
0.414252
0.317437
0.256163
0.185262
0.11688
0.107162
0
0.026424
0.136987
18,374
461
141
39.856833
0.674466
0.157886
0
0.086505
0
0
0.190125
0.04379
0
0
0
0
0
1
0.010381
false
0
0.083045
0
0.100346
0.214533
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
09252c654e5dd6c2c427adfbd63c5afde450b576
1,641
py
Python
sentiment_analysis.py
Submanifold/us-inauguration-speeches
d86221c47cc8b34363cc4ca9faaa4236436fc9c0
[ "MIT" ]
null
null
null
sentiment_analysis.py
Submanifold/us-inauguration-speeches
d86221c47cc8b34363cc4ca9faaa4236436fc9c0
[ "MIT" ]
null
null
null
sentiment_analysis.py
Submanifold/us-inauguration-speeches
d86221c47cc8b34363cc4ca9faaa4236436fc9c0
[ "MIT" ]
1
2019-08-12T11:40:28.000Z
2019-08-12T11:40:28.000Z
#!/usr/bin/env python3 # # Calculates sentiment polarity scores over the progression of a speech # and writes them to STDOUT. The output can be parsed by gnuplot. # # Original author: Bastian Rieck from textblob import TextBlob import os import sys """ Calculates sentiments over the progression of a given speech. Th...
22.791667
72
0.652651
228
1,641
4.592105
0.464912
0.025788
0.034384
0.038204
0.17001
0
0
0
0
0
0
0.009434
0.224863
1,641
71
73
23.112676
0.813679
0.1883
0
0.114286
0
0
0.032081
0
0
0
0
0
0
1
0.057143
false
0
0.085714
0
0.171429
0.2
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
092739ee8d9e52a0a47febefb10eeb7490145d9b
8,174
py
Python
EGEF_operation.py
zahraghh/Operation-Planning
dfa1fbbcce8d07544e96131f4e1f42c1846ce95b
[ "MIT" ]
null
null
null
EGEF_operation.py
zahraghh/Operation-Planning
dfa1fbbcce8d07544e96131f4e1f42c1846ce95b
[ "MIT" ]
null
null
null
EGEF_operation.py
zahraghh/Operation-Planning
dfa1fbbcce8d07544e96131f4e1f42c1846ce95b
[ "MIT" ]
null
null
null
import numpy as np import matplotlib.pyplot as plt import warnings import pandas as pd import scipy.stats as st import statsmodels as sm import seaborn as sns import math import collections from collections import Counter import statistics import matplotlib # By state level - Fuels emission factors - 1999 t...
57.160839
279
0.725104
1,218
8,174
4.6289
0.167488
0.081412
0.023413
0.023058
0.364314
0.280241
0.238737
0.217453
0.164597
0.159986
0
0.023535
0.152679
8,174
142
280
57.56338
0.7905
0.151456
0
0.047619
0
0
0.125129
0
0
0
0
0
0
1
0.031746
false
0
0.095238
0.007937
0.15873
0.015873
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
09292afd918a49c812addd31394b503bc8e8b012
16,757
py
Python
Core_Functions.py
CadellVDH/gardinette
e8200a0f8369e4a6d5a5a73c11d04282e98a927f
[ "MIT" ]
3
2020-10-31T23:19:37.000Z
2021-04-06T06:57:50.000Z
Core_Functions.py
CadellVDH/gardinette
e8200a0f8369e4a6d5a5a73c11d04282e98a927f
[ "MIT" ]
null
null
null
Core_Functions.py
CadellVDH/gardinette
e8200a0f8369e4a6d5a5a73c11d04282e98a927f
[ "MIT" ]
2
2020-11-01T01:10:16.000Z
2020-11-07T23:01:31.000Z
import os #tools for working with the CLI import logging #needed for logging import pigpio #needed for GPIO control import time #needed for function timing import threading #needed for OLED data continuous updating import csv #needed for temporary data logging import config as global_vars #import global variable initia...
50.933131
173
0.617652
2,196
16,757
4.604281
0.165756
0.037583
0.035308
0.019286
0.452972
0.406587
0.367521
0.342894
0.312531
0.280586
0
0.012909
0.306558
16,757
328
174
51.088415
0.857229
0.330429
0
0.454545
0
0
0.05205
0.001978
0
0
0
0
0
1
0.051948
false
0
0.04329
0
0.147186
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
092b8a66d28f45edb39d1f480fa99961ca8a29ee
257
py
Python
en/en.py
iremlaya/brainhack17
95e0374785dd7aa7856cac149e04c2949d3ee852
[ "MIT" ]
2
2017-06-04T10:01:49.000Z
2017-10-23T23:40:09.000Z
en/en.py
iremlaya/brainhack17
95e0374785dd7aa7856cac149e04c2949d3ee852
[ "MIT" ]
3
2017-10-23T22:54:43.000Z
2018-10-02T15:57:22.000Z
en/en.py
iremlaya/brainhack17
95e0374785dd7aa7856cac149e04c2949d3ee852
[ "MIT" ]
2
2018-10-02T16:00:23.000Z
2018-10-02T18:05:27.000Z
nums = list(map(int,input().split(" "))) list = [] for j in range(0,5): sum = 0 for i in range(0,4): sum += nums[i] list.append(sum) temp = nums[0] del nums[0] nums.append(temp) print("{} {}".format(min(list), max(list)))
17.133333
43
0.525292
42
257
3.214286
0.52381
0.103704
0.118519
0
0
0
0
0
0
0
0
0.036649
0.256809
257
14
44
18.357143
0.670157
0
0
0
0
0
0.023346
0
0
0
0
0
0
1
0
false
0
0
0
0
0.090909
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
092d7b160711ea95b44c682ad660b8ddb0e66742
352
py
Python
src/test_instrumenter/if_expr.py
joeldentici/python_stepper
ab32c62d0d0333ad901d7329fb198c7a23988007
[ "MIT" ]
1
2020-11-29T20:00:39.000Z
2020-11-29T20:00:39.000Z
src/test_instrumenter/if_expr.py
joeldentici/python_stepper
ab32c62d0d0333ad901d7329fb198c7a23988007
[ "MIT" ]
null
null
null
src/test_instrumenter/if_expr.py
joeldentici/python_stepper
ab32c62d0d0333ad901d7329fb198c7a23988007
[ "MIT" ]
null
null
null
import instrumenter import unittest class TestIfExpr(unittest.TestCase): def test_if_expr(self): src = """ 5 if x > 7 else 10 """.strip() expected = """ stepper_lib.if_expr(x > 7, 5, 10) """.strip() actual = instrumenter.instrument(src, "ifexpr").strip() self.assertEqual(actual, expected) if __name__...
17.6
57
0.676136
46
352
4.913043
0.586957
0.053097
0
0
0
0
0
0
0
0
0
0.027211
0.164773
352
20
58
17.6
0.741497
0
0
0.142857
0
0
0.206799
0.05949
0
0
0
0
0.071429
1
0.071429
false
0
0.142857
0
0.285714
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
092e872c851914a08cabf8af551b3897a9d46816
1,394
py
Python
Server/Python/src/dbs/dao/Oracle/Run/SummaryList.py
vkuznet/DBS
14df8bbe8ee8f874fe423399b18afef911fe78c7
[ "Apache-2.0" ]
8
2015-08-14T04:01:32.000Z
2021-06-03T00:56:42.000Z
Server/Python/src/dbs/dao/Oracle/Run/SummaryList.py
yuyiguo/DBS
14df8bbe8ee8f874fe423399b18afef911fe78c7
[ "Apache-2.0" ]
162
2015-01-07T21:34:47.000Z
2021-10-13T09:42:41.000Z
Server/Python/src/dbs/dao/Oracle/Run/SummaryList.py
yuyiguo/DBS
14df8bbe8ee8f874fe423399b18afef911fe78c7
[ "Apache-2.0" ]
16
2015-01-22T15:27:29.000Z
2021-04-28T09:23:28.000Z
""" This module provides Run.SummaryList data access object """ from WMCore.Database.DBFormatter import DBFormatter from dbs.utils.dbsExceptionHandler import dbsExceptionHandler class SummaryList(DBFormatter): def __init__(self, logger, dbi, owner=""): DBFormatter.__init__(self, logger, dbi) self...
39.828571
97
0.65208
173
1,394
5.109827
0.416185
0.033937
0.031674
0.038462
0.054299
0
0
0
0
0
0
0.003683
0.220947
1,394
34
98
41
0.810313
0.039455
0
0
0
0
0.220887
0.051841
0
0
0
0
0
1
0.083333
false
0
0.083333
0
0.25
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0933f309561e041149760fb500eeef98ca5f1483
4,650
py
Python
PyGame/racey.py
esserafael/PythonStuff
97900e48f989b64ccde02f5d676f7f823ec0eed7
[ "MIT" ]
1
2020-08-03T00:19:05.000Z
2020-08-03T00:19:05.000Z
PyGame/racey.py
esserafael/PythonStuff
97900e48f989b64ccde02f5d676f7f823ec0eed7
[ "MIT" ]
1
2021-08-23T20:43:21.000Z
2021-08-23T20:43:21.000Z
PyGame/racey.py
esserafael/python-learning-stuff
97900e48f989b64ccde02f5d676f7f823ec0eed7
[ "MIT" ]
null
null
null
import pygame import time import random pygame.init() # display display_width = 1024 display_height = 768 gameDisplay = pygame.display.set_mode((display_width,display_height)) pygame.display.set_caption('Relâmpago Marquinhos') # colors black = (0,0,0) white = (255,255,255) red = (255,0,0) # car ca...
30.392157
143
0.550108
583
4,650
4.090909
0.176672
0.04696
0.054507
0.050314
0.315304
0.232285
0.163522
0.163522
0.103145
0.066247
0
0.021396
0.346667
4,650
153
144
30.392157
0.76366
0.072903
0
0.11
0
0
0.013913
0
0
0
0
0
0
1
0.06
false
0
0.03
0
0.1
0.02
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0934154c75f6f3525bf51eb76b65fd596ded22e6
9,521
py
Python
src/tuco/base.py
eatfirst/python-tuco
47e58a3ebaf3f7e8ac3e2ba18dfaf9ce993f82db
[ "MIT" ]
8
2018-01-05T15:25:45.000Z
2018-02-19T02:41:43.000Z
src/tuco/base.py
eatfirst/python-tuco
47e58a3ebaf3f7e8ac3e2ba18dfaf9ce993f82db
[ "MIT" ]
7
2018-01-04T15:51:32.000Z
2021-04-28T21:54:57.000Z
src/tuco/base.py
eatfirst/python-tuco
47e58a3ebaf3f7e8ac3e2ba18dfaf9ce993f82db
[ "MIT" ]
null
null
null
"""Base classes to be used in FSM.""" import copy from datetime import datetime from typing import Dict, Iterator, List, Tuple, Type # noqa import pytz from tuco.exceptions import ( TucoAlreadyLockedError, TucoEventNotFoundError, TucoInvalidStateChangeError, TucoInvalidStateHolderError, ) from tuco.l...
34.496377
114
0.635648
1,135
9,521
5.10837
0.163877
0.078648
0.057951
0.031735
0.238875
0.160228
0.125905
0.106244
0.09417
0.065195
0
0
0.276967
9,521
275
115
34.621818
0.842243
0.160802
0
0.256983
0
0
0.034217
0
0
0
0
0
0
1
0.128492
false
0
0.055866
0
0.379888
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
093766ed7bbbb3c00312fb45947b1f3698212662
2,342
py
Python
rest_framework_apidoc/apidoc.py
jespino/django-rest-framework-apidoc
94e47811f96058bcfe33e37e433eda065096c053
[ "BSD-3-Clause" ]
3
2015-04-23T02:06:26.000Z
2017-12-06T12:52:04.000Z
rest_framework_apidoc/apidoc.py
jespino/django-rest-framework-apidoc
94e47811f96058bcfe33e37e433eda065096c053
[ "BSD-3-Clause" ]
null
null
null
rest_framework_apidoc/apidoc.py
jespino/django-rest-framework-apidoc
94e47811f96058bcfe33e37e433eda065096c053
[ "BSD-3-Clause" ]
null
null
null
from django.conf import settings from rest_framework.settings import import_from_string from .mixins import FileContentMixin, DocStringContentMixin, MarkupProcessMixin, NoProcessMixin, SafeProcessMixin APIDOC_DEFAULT_DOCUMENTER_CLASSES = getattr( settings, 'APIDOC_DEFAULT_DOCUMENTER_CLASSES', ['rest_fra...
28.560976
113
0.760034
210
2,342
8.304762
0.290476
0.028096
0.031537
0.051606
0.036697
0.036697
0.036697
0
0
0
0
0
0.163108
2,342
81
114
28.91358
0.889796
0
0
0.16
0
0
0.09351
0.049103
0
0
0
0
0
1
0.04
false
0.04
0.08
0
0.64
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
09382774afac9a4d300d0854f84c2849faef3aed
541
py
Python
malcolm/modules/ADAndor/parts/andordriverpart.py
MattTaylorDLS/pymalcolm
995a8e4729bd745f8f617969111cc5a34ce1ac14
[ "Apache-2.0" ]
null
null
null
malcolm/modules/ADAndor/parts/andordriverpart.py
MattTaylorDLS/pymalcolm
995a8e4729bd745f8f617969111cc5a34ce1ac14
[ "Apache-2.0" ]
null
null
null
malcolm/modules/ADAndor/parts/andordriverpart.py
MattTaylorDLS/pymalcolm
995a8e4729bd745f8f617969111cc5a34ce1ac14
[ "Apache-2.0" ]
null
null
null
from malcolm.modules.ADCore.parts import ExposureDetectorDriverPart class AndorDriverPart(ExposureDetectorDriverPart): def setup_detector(self, child, completed_steps, steps_to_do, params=None): fs = super(AndorDriverPart, self).setup_detector( child, completed_steps, steps_to_do, params) ...
41.615385
79
0.728281
64
541
5.953125
0.625
0.068241
0.099738
0.125984
0.178478
0.178478
0.178478
0
0
0
0
0
0.19963
541
12
80
45.083333
0.879908
0.09427
0
0
0
0
0
0
0
0
0
0
0
1
0.111111
false
0
0.111111
0
0.444444
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
093956eeb27c748398dcb88a46fcaaac217e34f7
2,674
py
Python
setup.py
addisonElliott/pyqt5AutoCompile
5945a85f6230a97f3467c79441d87f5f9cdb478d
[ "MIT" ]
8
2018-10-31T04:53:18.000Z
2020-11-18T18:47:48.000Z
setup.py
addisonElliott/pyqt5AutoCompile
5945a85f6230a97f3467c79441d87f5f9cdb478d
[ "MIT" ]
24
2020-03-27T11:38:39.000Z
2020-10-23T07:12:41.000Z
setup.py
addisonElliott/pyqt5AutoCompile
5945a85f6230a97f3467c79441d87f5f9cdb478d
[ "MIT" ]
3
2019-05-08T16:41:26.000Z
2021-08-23T12:37:55.000Z
import os import re from setuptools import setup currentPath = os.path.abspath(os.path.dirname(__file__)) def find_version(filename): with open(filename, 'r') as fh: # Read first 2048 bytes, __version__ string will be within that data = fh.read(2048) match = re.search(r'^__version__ = [...
30.735632
116
0.597233
295
2,674
5.325424
0.508475
0.072565
0.095481
0.08275
0.088479
0
0
0
0
0
0
0.016828
0.266642
2,674
86
117
31.093023
0.784294
0.118549
0
0.074627
0
0
0.370638
0.02
0
0
0
0
0
1
0.014925
false
0
0.044776
0
0.074627
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
093974a11fcf0bc9652927c15386f72ab4614908
8,738
py
Python
Progetto_dataset_adult/Utils/Analisi_variabili.py
pasqualefiore/Adult_dataset_analysis
c13b229e1f69df765fc2da5f0b64084816ad39c3
[ "Apache-2.0" ]
null
null
null
Progetto_dataset_adult/Utils/Analisi_variabili.py
pasqualefiore/Adult_dataset_analysis
c13b229e1f69df765fc2da5f0b64084816ad39c3
[ "Apache-2.0" ]
null
null
null
Progetto_dataset_adult/Utils/Analisi_variabili.py
pasqualefiore/Adult_dataset_analysis
c13b229e1f69df765fc2da5f0b64084816ad39c3
[ "Apache-2.0" ]
null
null
null
import matplotlib.pyplot as plt import seaborn as sns from scipy.stats import kendalltau,chi2_contingency, pearsonr import pandas as pd def plot_var_num(dataset,variabile): """ Plot delle variabili numeriche -------------- Parametri: dataset: dataset di riferimento variabile: variabile da plott...
42.009615
111
0.653353
1,015
8,738
5.529064
0.207882
0.027798
0.053457
0.048111
0.582145
0.484854
0.444761
0.428902
0.41536
0.396115
0
0.019029
0.23621
8,738
207
112
42.21256
0.821846
0.387961
0
0.456522
0
0
0.086807
0
0
0
0
0
0
1
0.065217
false
0
0.043478
0
0.152174
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
093ee142adce433cf7aaa24dd679b5d6c4fc05b5
638
py
Python
shares/urls.py
ab1cd2eefre3/stock-trading-website
f19b3ff11c5348ed9758816dab0ea0b44ec027a9
[ "MIT" ]
null
null
null
shares/urls.py
ab1cd2eefre3/stock-trading-website
f19b3ff11c5348ed9758816dab0ea0b44ec027a9
[ "MIT" ]
null
null
null
shares/urls.py
ab1cd2eefre3/stock-trading-website
f19b3ff11c5348ed9758816dab0ea0b44ec027a9
[ "MIT" ]
null
null
null
from django.urls import path from . import views urlpatterns = [ path("login", views.login_view, name="login"), path("logout", views.logout_view, name="logout"), path("register", views.register, name="register"), path("", views.index, name="index"), path("open", views.openPage, name="openPage"), ...
33.578947
67
0.647335
82
638
5.012195
0.292683
0.038929
0.043796
0
0
0
0
0
0
0
0
0.003663
0.144201
638
19
68
33.578947
0.749084
0
0
0
0
0
0.233542
0
0
0
0
0
0
1
0
false
0
0.133333
0
0.133333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
094372a474d52adb03ce58de44449d7f0c3ddd56
295
py
Python
Intermediate/collections_namedtuple.py
BjornChrisnach/Python_6hour_course
0949387c2e423ed0ba7914db7c58af2f913bda1c
[ "MIT" ]
null
null
null
Intermediate/collections_namedtuple.py
BjornChrisnach/Python_6hour_course
0949387c2e423ed0ba7914db7c58af2f913bda1c
[ "MIT" ]
null
null
null
Intermediate/collections_namedtuple.py
BjornChrisnach/Python_6hour_course
0949387c2e423ed0ba7914db7c58af2f913bda1c
[ "MIT" ]
null
null
null
# Collections namedTuple nr7 import collections from collections import namedtuple Point = namedtuple("Point", {"x": 0, "y": 0, "z": 0}) newP = Point(3, 4, 5) print(newP.x, newP.y, newP.z) print(newP._fields) newP = newP._replace(x=6) print(newP) p2 = Point._make(["a", "b", "c"]) print(p2)
18.4375
53
0.661017
48
295
4
0.479167
0.140625
0
0
0
0
0
0
0
0
0
0.039526
0.142373
295
15
54
19.666667
0.719368
0.088136
0
0
0
0
0.041199
0
0
0
0
0
0
1
0
false
0
0.2
0
0.2
0.4
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
09440d91afca8dc4e9e6734e9c8588fc67d05760
2,879
py
Python
bootstrap_ranks.py
baprice/Genewise-Cohort-Integration
d1a7434f2a461f572fd85ed8bdeebcda268ef29c
[ "MIT" ]
null
null
null
bootstrap_ranks.py
baprice/Genewise-Cohort-Integration
d1a7434f2a461f572fd85ed8bdeebcda268ef29c
[ "MIT" ]
null
null
null
bootstrap_ranks.py
baprice/Genewise-Cohort-Integration
d1a7434f2a461f572fd85ed8bdeebcda268ef29c
[ "MIT" ]
null
null
null
import os from pathlib import Path import argparse import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns from jive.AJIVE import AJIVE from jive.PCA import PCA import warnings import time, datetime from random import shuffle warnings.filterwarnings(action='once') def getVarianceE...
34.686747
140
0.740188
457
2,879
4.512035
0.299781
0.026188
0.041222
0.038797
0.238118
0.204656
0.125121
0.038797
0
0
0
0.010588
0.114276
2,879
82
141
35.109756
0.798039
0.046544
0
0
0
0
0.071585
0
0
0
0
0
0
1
0.032787
false
0
0.213115
0
0.278689
0.016393
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
094aa257693558a2208948c81f0f7751ce318d41
736
py
Python
annoying_dogbone/code.py
Tobi-Swali/pypy-Gamejam
a6e9455802ae0ea460fd7e2b497d58f94ee35228
[ "MIT" ]
1
2019-10-12T13:45:09.000Z
2019-10-12T13:45:09.000Z
annoying_dogbone/code.py
Tobi-Swali/pypy-Gamejam
a6e9455802ae0ea460fd7e2b497d58f94ee35228
[ "MIT" ]
2
2019-10-13T17:50:42.000Z
2019-10-13T17:53:18.000Z
annoying_dogbone/code.py
Tobi-Swali/pypy-Gamejam
a6e9455802ae0ea460fd7e2b497d58f94ee35228
[ "MIT" ]
3
2019-10-12T13:33:23.000Z
2019-10-12T17:15:45.000Z
# /bin/hacken GameJam 2019, f0wL """This example lights up the third NeoPixel while button A is being pressed, and lights up the eighth NeoPixel while button B is being pressed.""" from adafruit_circuitplayground.express import cpx import random import time import math cpx.pixels.brightness = 0.1 while True: ...
26.285714
95
0.618207
109
736
4.12844
0.449541
0.133333
0.106667
0.126667
0.284444
0.075556
0
0
0
0
0
0.069418
0.275815
736
27
96
27.259259
0.774859
0.235054
0
0.111111
0
0
0.025135
0
0
0
0
0
0
1
0
false
0
0.222222
0
0.222222
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
094d11be09267ae59e086160b2251d8815fde678
22,234
py
Python
lib/id3c/cli/command/manifest.py
UWIT-IAM/uw-redcap-client
38a1eb426fa80697446df7a466a41e0305382606
[ "MIT" ]
21
2019-04-19T22:45:22.000Z
2022-01-28T01:32:09.000Z
lib/id3c/cli/command/manifest.py
UWIT-IAM/uw-redcap-client
38a1eb426fa80697446df7a466a41e0305382606
[ "MIT" ]
219
2019-04-19T21:42:24.000Z
2022-03-29T21:41:04.000Z
lib/id3c/cli/command/manifest.py
UWIT-IAM/uw-redcap-client
38a1eb426fa80697446df7a466a41e0305382606
[ "MIT" ]
9
2020-03-11T20:07:26.000Z
2022-03-05T00:36:11.000Z
""" Parse, diff, and upload sample manifests. Manifests are listings of known samples with associated barcodes and other, minimal metadata. They are usually produced by the lab processing collection tubes and contain the link between encounter survey data and molecular biology results. The workflow for processing ne...
36.509031
225
0.655707
2,775
22,234
5.164685
0.187748
0.026375
0.017583
0.013676
0.303865
0.28691
0.264513
0.248395
0.221811
0.201716
0
0.0047
0.244041
22,234
608
226
36.569079
0.846561
0.453854
0
0.111111
0
0.00823
0.23385
0.01409
0
0
0
0
0.012346
1
0.049383
false
0.004115
0.078189
0
0.156379
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0