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
b615798ba86de33143bd8b83d54e8c2cb5fd5d97
1,992
py
Python
src/licma/tests/test_pyrules_m2crypto_oop.py
stg-tud/licma
b899e6e682f7716d19e79d6ce7b73c28c6efd4cf
[ "MIT" ]
5
2021-09-13T11:24:13.000Z
2022-03-18T21:56:58.000Z
src/licma/tests/test_pyrules_m2crypto_oop.py
stg-tud/licma
b899e6e682f7716d19e79d6ce7b73c28c6efd4cf
[ "MIT" ]
null
null
null
src/licma/tests/test_pyrules_m2crypto_oop.py
stg-tud/licma
b899e6e682f7716d19e79d6ce7b73c28c6efd4cf
[ "MIT" ]
1
2021-09-13T06:02:20.000Z
2021-09-13T06:02:20.000Z
import unittest from licma.babel_fish.babel_fish import BabelFish from licma.rules.python.pyrules_m2crypto.pyrule1_m2crypto import PyRule1M2Crypto from licma.rules.python.pyrules_m2crypto.pyrule2_m2crypto import PyRule2M2Crypto from licma.rules.python.pyrules_m2crypto.pyrule3_m2crypto import PyRule3M2Crypto from licma...
46.325581
98
0.703313
198
1,992
6.813131
0.242424
0.096368
0.133432
0.17791
0.485545
0.366938
0
0
0
0
0
0.041536
0.202309
1,992
42
99
47.428571
0.807426
0
0
0
0
0
0.310241
0.306225
0
0
0
0
0
1
0.15625
false
0
0.25
0
0.46875
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
b616788026b220ba10bb555db6739d8f4ae8230d
5,161
py
Python
sparkdq/models/dbscan/DBSCAN.py
PasaLab/SparkDQ
16d50210747ef7de03cf36d689ce26ff7445f63a
[ "Apache-2.0" ]
1
2021-02-08T07:49:54.000Z
2021-02-08T07:49:54.000Z
sparkdq/models/dbscan/DBSCAN.py
PasaLab/SparkDQ
16d50210747ef7de03cf36d689ce26ff7445f63a
[ "Apache-2.0" ]
null
null
null
sparkdq/models/dbscan/DBSCAN.py
PasaLab/SparkDQ
16d50210747ef7de03cf36d689ce26ff7445f63a
[ "Apache-2.0" ]
null
null
null
from operator import add import numpy as np from pyspark.sql.types import StructField, StructType, IntegerType from scipy.spatial.distance import euclidean import sklearn.cluster as skc from sparkdq.conf.Context import Context from sparkdq.models.CommonUtils import DEFAULT_CLUSTER_COL, DEFAULT_INDEX_COL from sparkdq....
35.840278
120
0.606665
664
5,161
4.51506
0.268072
0.039026
0.010007
0.013342
0.167445
0.136758
0.124083
0.124083
0.124083
0.124083
0
0.0367
0.255571
5,161
143
121
36.090909
0.743623
0.200543
0
0.144578
0
0
0.021156
0
0
0
0
0
0
1
0.060241
false
0.012048
0.108434
0
0.216867
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
b6176beeb32ae6064f09171a1d1d0db9edfa1f3a
1,160
py
Python
leflow/easy_example.py
santacml/Malware-as-Video
12dc3954f2237cb34857a44eadbb5ca76f8e97b5
[ "MIT" ]
1
2019-05-26T22:40:00.000Z
2019-05-26T22:40:00.000Z
leflow/easy_example.py
santacml/Malware-as-Video
12dc3954f2237cb34857a44eadbb5ca76f8e97b5
[ "MIT" ]
null
null
null
leflow/easy_example.py
santacml/Malware-as-Video
12dc3954f2237cb34857a44eadbb5ca76f8e97b5
[ "MIT" ]
1
2019-06-27T20:21:49.000Z
2019-06-27T20:21:49.000Z
import tensorflow as tf import numpy as np import sys sys.path.append('../LeFlow/src') import processMif as mif # This creates a random 32-bit floating point input for your variables def rand(dim): #return np.random.random(dim).astype(np.float32) return np.ones(dim).astype(np.float32) nodes = 1 X = tf.place...
25.777778
97
0.671552
183
1,160
4.191257
0.480874
0.027379
0.028683
0.046936
0
0
0
0
0
0
0
0.042328
0.185345
1,160
44
98
26.363636
0.769312
0.347414
0
0
0
0
0.064343
0
0
0
0
0
0
0
null
null
0
0.181818
null
null
0.045455
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
1
b618335f706022104fc8e982cca8ccd5f542436e
1,894
py
Python
123.py
zhirihuixin/wzh_private
b090a1f68093b180b83b4f3146e56d264f63d5bd
[ "MIT" ]
1
2017-03-21T09:07:30.000Z
2017-03-21T09:07:30.000Z
123.py
zhirihuixin/wzh_private
b090a1f68093b180b83b4f3146e56d264f63d5bd
[ "MIT" ]
null
null
null
123.py
zhirihuixin/wzh_private
b090a1f68093b180b83b4f3146e56d264f63d5bd
[ "MIT" ]
null
null
null
import pickle import numpy as np pkl_file = open('D:\wangzhihui\\123\wzh\ResNext101_32_4d_faster_rcnn_merge_bn_scale_iter_60000\\detections.pkl', 'rb') data1 = pickle.load(pkl_file) def py_cpu_nms(dets, thresh): """Pure Python NMS baseline.""" x1 = dets[:, 0] y1 = dets[:, 1] x2 = dets[:, 2] y2 = d...
23.675
118
0.534319
332
1,894
2.990964
0.286145
0.024169
0.050352
0.048338
0.125881
0.11279
0.09567
0.062437
0.062437
0.062437
0
0.086986
0.229145
1,894
79
119
23.974684
0.593151
0
0
0.153846
0
0
0.053311
0.052189
0
0
0
0
0
0
null
null
0
0.046154
null
null
0.261538
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
1
b618d3e757516d28daaaf4e251eeb45623d8f192
1,398
py
Python
hycu-demo/hycu-centos-8.py
halsayed/calm
46c93ac2b02227663f0184d149f62d142b2638cc
[ "MIT" ]
null
null
null
hycu-demo/hycu-centos-8.py
halsayed/calm
46c93ac2b02227663f0184d149f62d142b2638cc
[ "MIT" ]
null
null
null
hycu-demo/hycu-centos-8.py
halsayed/calm
46c93ac2b02227663f0184d149f62d142b2638cc
[ "MIT" ]
1
2021-11-16T10:28:42.000Z
2021-11-16T10:28:42.000Z
from calm.dsl.builtins import basic_cred, CalmTask, action from calm.dsl.builtins import SimpleDeployment, SimpleBlueprint from calm.dsl.builtins import read_provider_spec from calm.dsl.builtins import CalmVariable from calm.dsl.store import Secret CENTOS = basic_cred('nutanix', 'nutanix/4u', name='CENTOS', default=Tr...
36.789474
90
0.73176
185
1,398
5.313514
0.443243
0.040692
0.055951
0.077314
0.225839
0.07528
0.07528
0
0
0
0
0.017544
0.143777
1,398
38
91
36.789474
0.803676
0.097997
0
0.076923
0
0
0.139793
0.019857
0
0
0
0
0
1
0.115385
false
0
0.192308
0
0.653846
0.115385
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b619e86dde26d288681bc5bbb637fb6786e9878f
2,695
py
Python
lc/0101_SymmetricTree.py
xiangshiyin/coding-challenge
a75a644b96dec1b6c7146b952ca4333263f0a461
[ "Apache-2.0" ]
null
null
null
lc/0101_SymmetricTree.py
xiangshiyin/coding-challenge
a75a644b96dec1b6c7146b952ca4333263f0a461
[ "Apache-2.0" ]
null
null
null
lc/0101_SymmetricTree.py
xiangshiyin/coding-challenge
a75a644b96dec1b6c7146b952ca4333263f0a461
[ "Apache-2.0" ]
null
null
null
# Definition for a binary tree node. # class TreeNode: # def __init__(self, val=0, left=None, right=None): # self.val = val # self.left = left # self.right = right # class Solution: # def isSymmetric(self, root: TreeNode) -> bool: # ''' # long, iterative solution # ...
29.615385
95
0.440074
294
2,695
4.020408
0.187075
0.055838
0.05753
0.064298
0.357868
0.334179
0.273266
0.273266
0.111675
0
0
0.057355
0.450093
2,695
91
96
29.615385
0.740216
0.696475
0
0.2
0
0
0
0
0
0
0
0
0
1
0.05
false
0
0.05
0
0.3
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b61b1f4f777fb497c659daccaa184cb2e2a702f6
920
py
Python
checkboxes2.py
PiyushKumar186/programming
4dc17488a2d197ccdb6acd6f80732da81147bb1b
[ "MIT" ]
null
null
null
checkboxes2.py
PiyushKumar186/programming
4dc17488a2d197ccdb6acd6f80732da81147bb1b
[ "MIT" ]
null
null
null
checkboxes2.py
PiyushKumar186/programming
4dc17488a2d197ccdb6acd6f80732da81147bb1b
[ "MIT" ]
null
null
null
#!/usr/bin/python2 from Tkinter import * class Checkbar(Frame): def __init__(self,parent=None,picks=[],side=LEFT,anchor=W): Frame.__init__(self,parent) self.vars = [] for pick in picks: var = IntVar() chk = Checkbutton(self,text=pick,variable=var) chk.pac...
34.074074
64
0.615217
124
920
4.435484
0.548387
0.072727
0.050909
0
0
0
0
0
0
0
0
0.00274
0.206522
920
27
65
34.074074
0.750685
0.018478
0
0
0
0
0.050941
0
0
0
0
0
0
1
0.125
false
0
0.041667
0.041667
0.25
0.041667
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b61b86ab032b9a24da2c37b62cc30d9b56165a99
1,447
py
Python
autodraft/draftHost/importers/positions.py
gnmerritt/autodraft
b4071f9cc5eaf57beb19ba1aec99377afdbfb09a
[ "MIT" ]
null
null
null
autodraft/draftHost/importers/positions.py
gnmerritt/autodraft
b4071f9cc5eaf57beb19ba1aec99377afdbfb09a
[ "MIT" ]
null
null
null
autodraft/draftHost/importers/positions.py
gnmerritt/autodraft
b4071f9cc5eaf57beb19ba1aec99377afdbfb09a
[ "MIT" ]
null
null
null
from draftHost.models import NflPosition, FantasyPosition # path relative to manage.py NFL_DATA_FILE = "draftHost/data/nfl_positions.txt" FANTASY_DATA_FILE = "draftHost/data/fantasy_positions.txt" class PositionImporter(object): def add_positions(self): try: data = open(NFL_DATA_FILE, 'r') ...
33.651163
73
0.54112
150
1,447
5.093333
0.406667
0.041885
0.028796
0.054974
0.246073
0.183246
0.183246
0.125654
0.125654
0.125654
0
0.004292
0.355909
1,447
42
74
34.452381
0.815451
0.017968
0
0.342857
0
0
0.10007
0.047921
0
0
0
0
0
0
null
null
0
0.057143
null
null
0.114286
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
1
b61c54672fad12557646d3ef16c482952b01520a
2,572
py
Python
code/Experiments/Lasagne_examples/modelzoo/cifar10_nin.py
matthijsvk/convNets
7e65db7857a4e6abfbcab264953eb7741319de6c
[ "Apache-2.0" ]
1,034
2015-05-21T12:47:50.000Z
2022-03-17T19:27:29.000Z
modelzoo/cifar10_nin.py
nestyme/Recipes
553f5cf671f164da71152e33253cd7ed737dd2ac
[ "MIT" ]
111
2015-07-04T11:38:59.000Z
2022-03-04T01:12:11.000Z
modelzoo/cifar10_nin.py
nestyme/Recipes
553f5cf671f164da71152e33253cd7ed737dd2ac
[ "MIT" ]
528
2015-07-03T22:15:02.000Z
2022-03-27T10:01:21.000Z
# Network in Network CIFAR10 Model # Original source: https://gist.github.com/mavenlin/e56253735ef32c3c296d # License: unknown # Download pretrained weights from: # https://s3.amazonaws.com/lasagne/recipes/pretrained/cifar10/model.pkl from lasagne.layers import InputLayer, DropoutLayer, FlattenLayer from lasagne.laye...
41.483871
73
0.515552
264
2,572
4.878788
0.310606
0.074534
0.111801
0.132764
0.361801
0.328416
0.300466
0.23059
0.173137
0.173137
0
0.061162
0.364308
2,572
61
74
42.163934
0.726606
0.087092
0
0.372549
0
0
0.0807
0
0
0
0
0
0
1
0.019608
false
0
0.058824
0
0.098039
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
b61d0a638f24888cb68e4936a01c7b39a707cb01
2,969
py
Python
src/backend/models/placeModel.py
oasis-art-project/oasis-server
63e8093ebafa76c90393eec7828221e255100252
[ "Artistic-2.0" ]
3
2022-03-07T23:40:29.000Z
2022-03-07T23:40:35.000Z
src/backend/models/placeModel.py
oasis-art-project/oasis-server
63e8093ebafa76c90393eec7828221e255100252
[ "Artistic-2.0" ]
null
null
null
src/backend/models/placeModel.py
oasis-art-project/oasis-server
63e8093ebafa76c90393eec7828221e255100252
[ "Artistic-2.0" ]
null
null
null
# -*- coding: utf-8 -*- """ Part of the OASIS ART PROJECT - https://github.com/orgs/oasis-art-project Copyright (c) 2019-22 TEAM OASIS License Artistic-2.0 """ from marshmallow import fields, validate, post_dump from sqlalchemy.types import ARRAY from src.backend.extensions import db from src.backend.models.model im...
43.661765
175
0.689795
393
2,969
5.127226
0.363868
0.043672
0.054591
0.063524
0.26799
0.26799
0.204467
0.17469
0.095285
0.048635
0
0.020698
0.170091
2,969
67
176
44.313433
0.797078
0.117885
0
0
0
0
0.064825
0
0
0
0
0
0
1
0.042553
false
0
0.12766
0
0.744681
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
b61ebeb23f8d54ceaf64080f94bfcc879df1a83f
8,509
py
Python
torcharc/module/perceiver_io/preprocessor.py
kengz/torcharc
e17043391c718a161956b4da98f9a7810efe62a2
[ "MIT" ]
1
2020-06-12T09:55:25.000Z
2020-06-12T09:55:25.000Z
torcharc/module/perceiver_io/preprocessor.py
kengz/torcharc
e17043391c718a161956b4da98f9a7810efe62a2
[ "MIT" ]
5
2021-06-26T18:25:39.000Z
2021-12-31T22:43:22.000Z
torcharc/module/perceiver_io/preprocessor.py
kengz/torcharc
e17043391c718a161956b4da98f9a7810efe62a2
[ "MIT" ]
null
null
null
from einops import repeat, rearrange from torch import nn from torcharc import net_util import math import pydash as ps import sys import torch def build_learned_pos_encoding(max_seq_len: int, embed_dim: int): '''Build learned positional encoding with Deepmind's init''' # learned position encoding pos_enc...
54.197452
269
0.678106
1,276
8,509
4.323668
0.198276
0.059815
0.026101
0.008157
0.12253
0.085735
0.039514
0.027914
0.027914
0.0087
0
0.009245
0.211893
8,509
156
270
54.544872
0.813451
0.401222
0
0.091954
0
0.011494
0.052859
0.004319
0
0
0
0
0.022989
1
0.137931
false
0
0.08046
0.011494
0.356322
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
b61f00da589e3e40dcc6ece3e1151abf782ac6ad
3,027
py
Python
utils/datafields.py
edgeless634/bilibili_spider
589bbd029d3db3e9382d2e825250fe21b12edc39
[ "MIT" ]
null
null
null
utils/datafields.py
edgeless634/bilibili_spider
589bbd029d3db3e9382d2e825250fe21b12edc39
[ "MIT" ]
null
null
null
utils/datafields.py
edgeless634/bilibili_spider
589bbd029d3db3e9382d2e825250fe21b12edc39
[ "MIT" ]
null
null
null
import os import random import logging import threading base_path = os.path.dirname(os.path.dirname(__file__)) base_path = os.path.join(base_path, "datafield") if not os.path.exists(base_path): os.mkdir(base_path) def get_path(fieldname): return os.path.join(base_path, fieldname) class DataField: ''' ...
29.105769
126
0.561612
364
3,027
4.475275
0.255495
0.077348
0.077348
0.098834
0.309392
0.2345
0.162063
0.162063
0.058932
0.058932
0
0.001946
0.32078
3,027
104
127
29.105769
0.79037
0.045259
0
0.104478
0
0
0.026691
0.008044
0
0
0
0
0
1
0.104478
false
0
0.059701
0.014925
0.253731
0.059701
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b61f12f0a57f2ac17e29150643fd1a3a0801bb75
1,468
py
Python
0.mccntt/domain-wide/gmail_quickstart.py
mccntt/googleworkspace-python-samples
c1a24d4e06f2b14af4b494db55ebad04fbf6cf89
[ "Apache-2.0" ]
null
null
null
0.mccntt/domain-wide/gmail_quickstart.py
mccntt/googleworkspace-python-samples
c1a24d4e06f2b14af4b494db55ebad04fbf6cf89
[ "Apache-2.0" ]
null
null
null
0.mccntt/domain-wide/gmail_quickstart.py
mccntt/googleworkspace-python-samples
c1a24d4e06f2b14af4b494db55ebad04fbf6cf89
[ "Apache-2.0" ]
null
null
null
# https://docs.microsoft.com/en-us/windows/python/beginners # https://developers.google.com/identity/protocols/oauth2/service-account#python from __future__ import print_function from pathlib import Path from googleapiclient.discovery import build from google.oauth2 import service_account SCOPES = ['https://www.go...
28.784314
130
0.706403
180
1,468
5.605556
0.505556
0.111001
0.053518
0.035679
0.178394
0.075322
0.075322
0.075322
0.075322
0
0
0.009016
0.168937
1,468
50
131
29.36
0.818033
0.372616
0
0.111111
0
0
0.151885
0.079823
0
0
0
0
0
1
0.055556
false
0
0.222222
0
0.277778
0.166667
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b61fa6e0d30b3d5f87bf0ee960be776cf48333dc
5,575
py
Python
code/dpp/distributions/logistic_mixture.py
bsouhaib/qf-tpp
a5adf3f7203b920528c1c397329c4afd9039c3b4
[ "MIT" ]
null
null
null
code/dpp/distributions/logistic_mixture.py
bsouhaib/qf-tpp
a5adf3f7203b920528c1c397329c4afd9039c3b4
[ "MIT" ]
null
null
null
code/dpp/distributions/logistic_mixture.py
bsouhaib/qf-tpp
a5adf3f7203b920528c1c397329c4afd9039c3b4
[ "MIT" ]
null
null
null
import numpy as np import torch import torch.nn as nn import torch.nn.functional as F import torch.distributions as td from torch.distributions import constraints from dpp.nn import BaseModule, Hypernet from dpp.utils import clamp_preserve_gradients def inverse_sigmoid(x): # Clamp tiny values (<1e-38 for float3...
38.986014
103
0.636233
741
5,575
4.561404
0.240216
0.069231
0.049704
0.050592
0.277515
0.243787
0.230769
0.20355
0.17574
0.17574
0
0.008049
0.264574
5,575
142
104
39.260563
0.816341
0.210583
0
0.125
0
0
0.009161
0
0
0
0
0
0
1
0.125
false
0
0.090909
0
0.340909
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
b61fd88f4b3a01a3aa6ca746cfeb284296cf724d
15,173
py
Python
register/urls.py
LucasHiago/pede_ja
62609a32d045b167a96be79cc93113d32dcfe917
[ "MIT" ]
null
null
null
register/urls.py
LucasHiago/pede_ja
62609a32d045b167a96be79cc93113d32dcfe917
[ "MIT" ]
null
null
null
register/urls.py
LucasHiago/pede_ja
62609a32d045b167a96be79cc93113d32dcfe917
[ "MIT" ]
null
null
null
from django.urls import path from django.conf import settings from django.conf.urls.static import static from .views import * urlpatterns = [ # Urls for authentication on noruh web path('change_password/', RecoverPasswordByApi.as_view(), name='change_password'), path('reset_passowrd/complete/', Recove...
55.375912
126
0.701114
1,690
15,173
6.02426
0.149112
0.067184
0.111973
0.047441
0.254199
0.087418
0.049209
0.020332
0.009626
0
0
0
0.148685
15,173
273
127
55.578755
0.788186
0.037699
0
0
0
0
0.464815
0.394719
0
0
0
0
0
1
0
false
0.008811
0.017621
0
0.017621
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
b61fdd250445e3eab4d4df963d8cfba91ce0bd48
6,220
py
Python
model/utils/config_helper.py
aashiqmuhamed/transformer-gan
1ccc9f251c1b1d054c1acc8be36c1da7bf8cf11c
[ "Apache-2.0" ]
32
2021-06-11T02:03:03.000Z
2022-03-23T16:12:49.000Z
model/utils/config_helper.py
aashiqmuhamed/transformer-gan
1ccc9f251c1b1d054c1acc8be36c1da7bf8cf11c
[ "Apache-2.0" ]
3
2021-11-11T06:08:37.000Z
2022-02-20T14:09:30.000Z
model/utils/config_helper.py
aashiqmuhamed/transformer-gan
1ccc9f251c1b1d054c1acc8be36c1da7bf8cf11c
[ "Apache-2.0" ]
7
2021-06-11T01:19:56.000Z
2022-02-17T03:52:15.000Z
from yacs.config import CfgNode as CN def model(cfg): # For model cfg.MODEL = CN() cfg.MODEL.num_layers = 6 cfg.MODEL.num_heads = 10 cfg.MODEL.units = 500 cfg.MODEL.inner_size = 1000 cfg.MODEL.dropout = 0.1 cfg.MODEL.tie_embedding = True cfg.MODEL.tie_proj = False cfg.MODEL.atte...
37.926829
133
0.694855
906
6,220
4.625828
0.257174
0.190885
0.047721
0.00859
0.161059
0.093295
0.060129
0.043904
0.024338
0.024338
0
0.040677
0.201608
6,220
163
134
38.159509
0.803262
0.213826
0
0.044444
0
0
0.029703
0.010726
0
0
0
0.006135
0
1
0.044444
false
0
0.007407
0
0.096296
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
b62114fe26c6e23da2c727e699637285d222ecc8
832
py
Python
examples/yaml/main.py
pseeth/argbind
1b953e370065d9f3c91dee5c93cc6447b72e3744
[ "MIT" ]
19
2020-10-14T00:00:13.000Z
2022-02-20T23:21:18.000Z
examples/yaml/main.py
pseeth/argbind
1b953e370065d9f3c91dee5c93cc6447b72e3744
[ "MIT" ]
3
2021-03-30T15:56:55.000Z
2022-03-21T20:52:56.000Z
examples/yaml/main.py
pseeth/argbind
1b953e370065d9f3c91dee5c93cc6447b72e3744
[ "MIT" ]
1
2021-04-13T18:51:29.000Z
2021-04-13T18:51:29.000Z
import argbind import typing @argbind.bind() def func( arg1 : str = 'default', arg2 : str = 'default', arg3 : str = 'default', arg4 : str = 'default', arg5 : typing.List[str] = ['default'], ): """Dummy function for binding. Parameters ---------- arg1 : str, optional Argumen...
22.486486
42
0.550481
99
832
4.535354
0.373737
0.111359
0.169265
0
0
0
0
0
0
0
0
0.039792
0.305288
832
36
43
23.111111
0.737024
0.338942
0
0
0
0
0.282565
0
0
0
0
0
0
1
0.047619
false
0
0.095238
0
0.142857
0.047619
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b6215c1441983e96ac508f482bf4dc70d993cca3
2,585
py
Python
handlers/article.py
armaaar/Multi-Users-Blog
8b28b2816337d8f023bc6c1741e91c86d3127874
[ "MIT" ]
null
null
null
handlers/article.py
armaaar/Multi-Users-Blog
8b28b2816337d8f023bc6c1741e91c86d3127874
[ "MIT" ]
null
null
null
handlers/article.py
armaaar/Multi-Users-Blog
8b28b2816337d8f023bc6c1741e91c86d3127874
[ "MIT" ]
null
null
null
from handlers import tables, helper, Handler import time class ArticleHandler(Handler): def __init__(self, *args, **kwargs): super(ArticleHandler, self).__init__(*args, **kwargs) self.body_class = 'article-page' def get(self, article_id): if not article_id.isdigit(): self....
41.693548
74
0.56441
276
2,585
5.09058
0.177536
0.102491
0.079715
0.074733
0.464769
0.323843
0.276868
0.276868
0.22847
0
0
0
0.324565
2,585
61
75
42.377049
0.804696
0
0
0.288462
0
0
0.081238
0.024371
0
0
0
0
0
1
0.057692
false
0
0.038462
0
0.115385
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b621e93761f39072896a2d33479068491b0d86fd
428
py
Python
Alignment/MuonAlignmentAlgorithms/python/MuonAlignmentPreFilter_cfi.py
ckamtsikis/cmssw
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
[ "Apache-2.0" ]
852
2015-01-11T21:03:51.000Z
2022-03-25T21:14:00.000Z
Alignment/MuonAlignmentAlgorithms/python/MuonAlignmentPreFilter_cfi.py
ckamtsikis/cmssw
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
[ "Apache-2.0" ]
30,371
2015-01-02T00:14:40.000Z
2022-03-31T23:26:05.000Z
Alignment/MuonAlignmentAlgorithms/python/MuonAlignmentPreFilter_cfi.py
ckamtsikis/cmssw
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
[ "Apache-2.0" ]
3,240
2015-01-02T05:53:18.000Z
2022-03-31T17:24:21.000Z
import FWCore.ParameterSet.Config as cms MuonAlignmentPreFilter = cms.EDFilter("MuonAlignmentPreFilter", tracksTag = cms.InputTag("ALCARECOMuAlCalIsolatedMu:GlobalMuon"), minTrackPt = cms.double(20.), minTrackP = cms.double(0.), minTrackerHits = cms.int32(10), minDTHits = cms.int32(6), minCSCHits = cms.int...
28.533333
67
0.728972
49
428
6.367347
0.612245
0.115385
0.064103
0.070513
0
0
0
0
0
0
0
0.045576
0.128505
428
14
68
30.571429
0.790885
0
0
0
0
0
0.135831
0.135831
0
0
0
0
0
1
0
false
0
0.083333
0
0.083333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b6239675b28fbe08cb92d202a432a29c5c6dfd60
13,299
py
Python
widgets/KeyEvents.py
iubica/wx-portfolio
12101986db72bcaffd9b744d514d6f9f651ad5a1
[ "MIT" ]
3
2018-03-19T07:57:10.000Z
2021-07-05T08:55:14.000Z
widgets/KeyEvents.py
iubica/wx-portfolio
12101986db72bcaffd9b744d514d6f9f651ad5a1
[ "MIT" ]
6
2020-03-24T15:40:18.000Z
2021-12-13T19:46:09.000Z
widgets/KeyEvents.py
iubica/wx-portfolio
12101986db72bcaffd9b744d514d6f9f651ad5a1
[ "MIT" ]
4
2018-03-29T21:59:55.000Z
2019-12-16T14:56:38.000Z
#!/usr/bin/env python import wx import wx.lib.mixins.listctrl as listmix from six import unichr #---------------------------------------------------------------------- keyMap = { wx.WXK_BACK : "WXK_BACK", wx.WXK_TAB : "WXK_TAB", wx.WXK_RETURN : "WXK_RETURN", wx.WXK_ESCAPE : "WXK_ESCAPE", wx.WXK_S...
31
79
0.577788
1,672
13,299
4.356459
0.221292
0.08855
0.040774
0.023202
0.110242
0.086079
0.046266
0.035008
0.021691
0.021691
0
0.024121
0.264306
13,299
428
80
31.07243
0.72036
0.050756
0
0.075075
0
0
0.158775
0.005076
0
0
0
0
0
1
0.072072
false
0
0.015015
0
0.102102
0.003003
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b62433cd037f79979cfef4c3c7e8ba4b1fe36dc3
373
py
Python
learner/time_callback.py
remmyzen/nqs-tensorflow2
2af5d5ebb108eac4d2daa5082bdef11c8107bd1b
[ "MIT" ]
4
2021-07-29T17:52:54.000Z
2022-02-15T06:32:15.000Z
learner/time_callback.py
remmyzen/nqs-tensorflow2
2af5d5ebb108eac4d2daa5082bdef11c8107bd1b
[ "MIT" ]
null
null
null
learner/time_callback.py
remmyzen/nqs-tensorflow2
2af5d5ebb108eac4d2daa5082bdef11c8107bd1b
[ "MIT" ]
null
null
null
import time import tensorflow from tensorflow import keras class TimeCallback(keras.callbacks.Callback): def __init__ (self): super(TimeCallback, self).__init__() def on_epoch_begin(self, epoch, logs): self.epoch_time_start = time.time() def on_epoch_end(self, batch, logs): logs...
21.941176
58
0.686327
48
373
5
0.416667
0.1125
0.083333
0.15
0
0
0
0
0
0
0
0
0.209115
373
16
59
23.3125
0.813559
0
0
0
0
0
0.010753
0
0
0
0
0
0
1
0.3
false
0
0.3
0
0.7
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
2
b624ed925fddaa73c150d0b98d5fda740868dd65
4,071
py
Python
app/movies/tests/test_view.py
NicolefAvella/ApiMovie
4860b312f62dee73de6015c3029e75a6045f79a1
[ "MIT" ]
null
null
null
app/movies/tests/test_view.py
NicolefAvella/ApiMovie
4860b312f62dee73de6015c3029e75a6045f79a1
[ "MIT" ]
null
null
null
app/movies/tests/test_view.py
NicolefAvella/ApiMovie
4860b312f62dee73de6015c3029e75a6045f79a1
[ "MIT" ]
null
null
null
from django.urls import reverse from rest_framework.test import APITestCase, APIClient from rest_framework.views import status from movies.models import Movies from movies.serializers import MoviesSerializer from user.models import User import json class BaseViewTest(APITestCase): client = APIClient() def c...
33.368852
123
0.590273
455
4,071
5.151648
0.287912
0.029863
0.058874
0.03413
0.325939
0.264505
0.226536
0.156997
0.156997
0.075939
0
0.011383
0.28789
4,071
121
124
33.644628
0.797171
0.07099
0
0.2
0
0
0.102695
0
0
0
0
0
0.077778
1
0.077778
false
0.022222
0.077778
0.022222
0.266667
0.011111
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b625420fbcf257af05779c352e7795a2abfb2733
5,426
py
Python
examples/ConsumptionSaving/example_TractableBufferStockModel.py
HsinYiHung/HARK_HY
086c46af5bd037fe1ced6906c6ea917ed58b134f
[ "Apache-2.0" ]
null
null
null
examples/ConsumptionSaving/example_TractableBufferStockModel.py
HsinYiHung/HARK_HY
086c46af5bd037fe1ced6906c6ea917ed58b134f
[ "Apache-2.0" ]
null
null
null
examples/ConsumptionSaving/example_TractableBufferStockModel.py
HsinYiHung/HARK_HY
086c46af5bd037fe1ced6906c6ea917ed58b134f
[ "Apache-2.0" ]
null
null
null
# %% import numpy as np # numeric Python from HARK.utilities import plotFuncs # basic plotting tools from HARK.ConsumptionSaving.ConsMarkovModel import ( MarkovConsumerType, ) # An alternative, much longer way to solve the TBS model from time import process_time # timing utility from HARK.ConsumptionSaving.Trac...
41.419847
116
0.71397
685
5,426
5.578102
0.354745
0.005758
0.031405
0.039257
0.200995
0.145512
0.132426
0.075373
0.075373
0.035069
0
0.021525
0.178032
5,426
130
117
41.738462
0.835202
0.441946
0
0.126214
0
0
0.181174
0
0
0
0
0
0
1
0
false
0
0.048544
0
0.048544
0.029126
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b625948601304a37edf120d20921eb82fe58c66b
3,299
py
Python
util/utils.py
tanghaotommy/Self-supervised-Fewshot-Medical-Image-Segmentation
9ff8cd2421ee2f7c038d8eec15b0296b365e0c46
[ "MIT" ]
176
2020-09-10T16:32:16.000Z
2022-03-30T12:06:02.000Z
util/utils.py
tanghaotommy/Self-supervised-Fewshot-Medical-Image-Segmentation
9ff8cd2421ee2f7c038d8eec15b0296b365e0c46
[ "MIT" ]
14
2020-09-18T02:56:53.000Z
2022-03-16T00:31:12.000Z
util/utils.py
tanghaotommy/Self-supervised-Fewshot-Medical-Image-Segmentation
9ff8cd2421ee2f7c038d8eec15b0296b365e0c46
[ "MIT" ]
29
2020-09-13T20:00:00.000Z
2022-02-11T00:40:00.000Z
"""Util functions Extended from original PANet code TODO: move part of dataset configurations to data_utils """ import random import torch import numpy as np import operator def set_seed(seed): """ Set the random seed """ random.seed(seed) torch.manual_seed(seed) torch.cuda.manual_seed_all(seed...
27.722689
102
0.585935
501
3,299
3.668663
0.309381
0.038085
0.026115
0.006529
0.129489
0.100109
0.080522
0.025027
0.025027
0.025027
0
0.040316
0.270688
3,299
118
103
27.957627
0.723608
0.173992
0
0.0625
0
0
0.04084
0
0
0
0
0.008475
0
1
0.0875
false
0
0.05
0
0.2625
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
b625f6558f2741b2b169d86562822285a1812346
289
py
Python
social/admin.py
ayushnanda21/Zingster
f23e9900b772c2e46f9ea4434a1266daa129b16b
[ "MIT" ]
3
2021-05-11T16:31:34.000Z
2022-03-08T05:54:30.000Z
social/admin.py
ayushnanda21/Zingster
f23e9900b772c2e46f9ea4434a1266daa129b16b
[ "MIT" ]
null
null
null
social/admin.py
ayushnanda21/Zingster
f23e9900b772c2e46f9ea4434a1266daa129b16b
[ "MIT" ]
1
2021-10-09T18:35:48.000Z
2021-10-09T18:35:48.000Z
from django.contrib import admin from . models import Post,UserProfile,Notification,Comment,ThreadModel # Register your models here. admin.site.register(Post) admin.site.register(UserProfile) admin.site.register(Comment) admin.site.register(Notification) admin.site.register(ThreadModel)
28.9
70
0.83391
37
289
6.513514
0.405405
0.186722
0.352697
0
0
0
0
0
0
0
0
0
0.069204
289
10
71
28.9
0.895911
0.089965
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.285714
0
0.285714
0
0
0
0
null
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
2
b626f7b18fa5d92ee89efc8f742da215c496b617
663
py
Python
src/my_project/medium_problems/from1to50/final_prices_with_special_discount_shop.py
ivan1016017/LeetCodeAlgorithmProblems
454284b76634cc34ed41f7fa30d857403cedf1bf
[ "MIT" ]
null
null
null
src/my_project/medium_problems/from1to50/final_prices_with_special_discount_shop.py
ivan1016017/LeetCodeAlgorithmProblems
454284b76634cc34ed41f7fa30d857403cedf1bf
[ "MIT" ]
1
2021-09-22T12:26:14.000Z
2021-09-22T12:26:14.000Z
src/my_project/medium_problems/from1to50/final_prices_with_special_discount_shop.py
ivan1016017/LeetCodeAlgorithmProblems
454284b76634cc34ed41f7fa30d857403cedf1bf
[ "MIT" ]
null
null
null
from typing import List class Solution: def finalPrices(self, prices: List[int]) -> List[int]: # initialize variables solution = list() len_prices = len(prices) flag = -1 for i in range(len_prices): flag = -1 for j in range(i+1, len_prices): ...
26.52
58
0.503771
76
663
4.355263
0.421053
0.108761
0.07855
0.084592
0.102719
0
0
0
0
0
0
0.02457
0.386124
663
25
59
26.52
0.788698
0.030166
0
0.105263
0
0
0
0
0
0
0
0
0
1
0.052632
false
0
0.052632
0
0.210526
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
b627c5785e80c08378e3b966c7612558816085f7
23,226
py
Python
gammapy/estimators/ts_map.py
vikasj78/gammapy
46deb872bbcbf36748df71e659dc3fa592f6dc27
[ "BSD-3-Clause" ]
null
null
null
gammapy/estimators/ts_map.py
vikasj78/gammapy
46deb872bbcbf36748df71e659dc3fa592f6dc27
[ "BSD-3-Clause" ]
null
null
null
gammapy/estimators/ts_map.py
vikasj78/gammapy
46deb872bbcbf36748df71e659dc3fa592f6dc27
[ "BSD-3-Clause" ]
null
null
null
# Licensed under a 3-clause BSD style license - see LICENSE.rst """Functions to compute TS images.""" import functools import logging import warnings import numpy as np import scipy.optimize from astropy.coordinates import Angle from gammapy.datasets.map import MapEvaluator from gammapy.maps import Map, WcsGeom from ga...
31.514247
94
0.592267
2,749
23,226
4.858858
0.157512
0.027551
0.034589
0.020214
0.30995
0.264356
0.22243
0.199221
0.161189
0.161189
0
0.008213
0.308017
23,226
736
95
31.557065
0.82286
0.331654
0
0.201681
0
0
0.060615
0
0
0
0
0.001359
0
1
0.047619
false
0
0.033613
0.005602
0.151261
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
b62a365f11a3573b0d239a3c19cd065df9a235b5
1,048
py
Python
tests/middleware/test_secure_headers_middleware.py
Abeautifulsnow/masonite
f0ebb5ca05f5d88f21264e1cd0934435bd0a8791
[ "MIT" ]
1
2022-02-24T06:21:18.000Z
2022-02-24T06:21:18.000Z
tests/middleware/test_secure_headers_middleware.py
Abeautifulsnow/masonite
f0ebb5ca05f5d88f21264e1cd0934435bd0a8791
[ "MIT" ]
1
2020-10-26T12:33:05.000Z
2020-10-26T12:33:05.000Z
tests/middleware/test_secure_headers_middleware.py
Abeautifulsnow/masonite
f0ebb5ca05f5d88f21264e1cd0934435bd0a8791
[ "MIT" ]
null
null
null
""" Test Secure Headers Midddleware """ from src.masonite.middleware import SecureHeadersMiddleware from src.masonite.request import Request from src.masonite.testing import TestCase, generate_wsgi class TestSecureHeadersMiddleware(TestCase): def setUp(self): super().setUp() self.request = Reque...
40.307692
113
0.73187
118
1,048
6.389831
0.389831
0.116711
0.067639
0.095491
0.27321
0.27321
0.135279
0.135279
0
0
0
0.008979
0.149809
1,048
25
114
41.92
0.837262
0.02958
0
0.222222
1
0
0.136769
0.046581
0
0
0
0
0.166667
1
0.166667
false
0
0.166667
0
0.388889
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
b62a7fea18f8f4556139383b37d4d565e04f0ab2
2,195
py
Python
reporter/factories/slack.py
itsdkey/workreporter
daea921a03f4798c9acd689fc9bc6010e72cf886
[ "MIT" ]
null
null
null
reporter/factories/slack.py
itsdkey/workreporter
daea921a03f4798c9acd689fc9bc6010e72cf886
[ "MIT" ]
21
2020-04-04T11:08:20.000Z
2021-01-29T07:58:40.000Z
reporter/factories/slack.py
itsdkey/workreporter
daea921a03f4798c9acd689fc9bc6010e72cf886
[ "MIT" ]
null
null
null
import string from factory import Dict, DictFactory, Faker, List from factory.fuzzy import FuzzyChoice, FuzzyText from reporter.apps import __version__ class SectionButtonFactory(DictFactory): """A factory for a section with a button.""" type = 'section' accessory = Dict({ 'text': { ...
24.662921
83
0.569021
208
2,195
5.947115
0.375
0.051738
0.092158
0.10671
0.224737
0.150364
0.101859
0.101859
0.101859
0.101859
0
0.001263
0.278815
2,195
88
84
24.943182
0.780164
0.153531
0
0.403509
0
0
0.175623
0
0
0
0
0
0
1
0
false
0
0.070175
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
b62c2361b51ddd55b0ad6546bce400043a91ee1a
362
py
Python
tests/test_generator.py
skalarsystems/fhir-zeug
19973438823c41247e3efb5b1d35e8942ae01fdb
[ "Apache-2.0" ]
10
2020-04-23T18:13:13.000Z
2020-11-25T07:45:26.000Z
tests/test_generator.py
skalarsystems/fhir-zeug
19973438823c41247e3efb5b1d35e8942ae01fdb
[ "Apache-2.0" ]
71
2020-05-20T09:11:22.000Z
2020-10-26T14:01:03.000Z
tests/test_generator.py
skalarsystems/fhir-zeug
19973438823c41247e3efb5b1d35e8942ae01fdb
[ "Apache-2.0" ]
1
2020-06-03T11:55:47.000Z
2020-06-03T11:55:47.000Z
from pathlib import Path from fhirzeug.generator import generate from fhirzeug.fhirspec import FHIRSpec def test_write(spec: FHIRSpec, tmp_path: Path): spec.generator_config.output_directory.destination = tmp_path spec.generator_config.output_file.destination = Path("output.py") generate(spec) assert...
30.166667
69
0.787293
49
362
5.632653
0.44898
0.076087
0.123188
0.166667
0.210145
0
0
0
0
0
0
0
0.124309
362
11
70
32.909091
0.870662
0
0
0
1
0
0.049724
0
0
0
0
0
0.125
1
0.125
false
0
0.375
0
0.5
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
3
b62c3785b8faee0ef4f6c5a2aca7da2f7a1f610d
4,040
py
Python
pybrain/inspect_ops.py
Kevinfu510/TridentFrame
9766b3642ad065662ca428212bfe3f3dca25139d
[ "MIT" ]
null
null
null
pybrain/inspect_ops.py
Kevinfu510/TridentFrame
9766b3642ad065662ca428212bfe3f3dca25139d
[ "MIT" ]
null
null
null
pybrain/inspect_ops.py
Kevinfu510/TridentFrame
9766b3642ad065662ca428212bfe3f3dca25139d
[ "MIT" ]
null
null
null
import os import string import math from random import choices from pprint import pprint from urllib.parse import urlparse from PIL import Image from apng import APNG from colorama import init, deinit from hurry.filesize import size, alternative from .config import IMG_EXTS, STATIC_IMG_EXTS, ANIMATED_IMG_EXTS def _...
35.752212
107
0.630446
572
4,040
4.298951
0.225524
0.0366
0.0122
0.02928
0.181781
0.125661
0.125661
0.102481
0.102481
0.102481
0
0.012317
0.256436
4,040
112
108
36.071429
0.806258
0.114851
0
0.113636
0
0
0.136709
0
0
0
0
0
0
1
0.022727
false
0
0.125
0
0.170455
0.034091
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b62dc7b9f4a6677f9a7cc3ff035bfd06aa2b42eb
468
py
Python
mlrun/data_types/__init__.py
yanburman/mlrun
f6d2bb1d99d163ab47774f15b86008bfd76f6ba1
[ "Apache-2.0" ]
null
null
null
mlrun/data_types/__init__.py
yanburman/mlrun
f6d2bb1d99d163ab47774f15b86008bfd76f6ba1
[ "Apache-2.0" ]
null
null
null
mlrun/data_types/__init__.py
yanburman/mlrun
f6d2bb1d99d163ab47774f15b86008bfd76f6ba1
[ "Apache-2.0" ]
null
null
null
# flake8: noqa - this is until we take care of the F401 violations with respect to __all__ & sphinx from .data_types import ValueType, pd_schema_to_value_type, InferOptions from .infer import DFDataInfer class BaseDataInfer: infer_schema = None get_preview = None get_stats = None def get_infer_interfa...
24.631579
100
0.737179
61
468
5.42623
0.721311
0.042296
0
0
0
0
0
0
0
0
0
0.01084
0.211538
468
18
101
26
0.886179
0.209402
0
0
0
0
0.008152
0
0
0
0
0
0
1
0.090909
false
0
0.272727
0
0.909091
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
b62e3b273084a90d44d9b735364ee439b8417ee2
164
py
Python
code/abc117_c_01.py
KoyanagiHitoshi/AtCoder
731892543769b5df15254e1f32b756190378d292
[ "MIT" ]
3
2019-08-16T16:55:48.000Z
2021-04-11T10:21:40.000Z
code/abc117_c_01.py
KoyanagiHitoshi/AtCoder
731892543769b5df15254e1f32b756190378d292
[ "MIT" ]
null
null
null
code/abc117_c_01.py
KoyanagiHitoshi/AtCoder
731892543769b5df15254e1f32b756190378d292
[ "MIT" ]
null
null
null
N,M=map(int,input().split()) X=sorted(set(list(map(int,input().split())))) s=[] for i in range(M-1): s.append(X[i+1]-X[i]) s=sorted(s)[::-1] print(sum(s[N-1:]))
23.428571
45
0.573171
37
164
2.540541
0.513514
0.12766
0.234043
0.340426
0
0
0
0
0
0
0
0.02649
0.079268
164
7
46
23.428571
0.596026
0
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0
0
0
0.142857
0
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
3
b62e64b939d1bd9c03a4b5b970f6b1625a5fffd7
7,942
py
Python
sanity_test.py
C2SM/clim-sanity-checker
3d5d610b16ca7e87c841ef7ad06a94d0399b4773
[ "MIT" ]
null
null
null
sanity_test.py
C2SM/clim-sanity-checker
3d5d610b16ca7e87c841ef7ad06a94d0399b4773
[ "MIT" ]
3
2021-07-29T11:26:20.000Z
2021-07-29T16:01:54.000Z
sanity_test.py
C2SM/clim-sanity-checker
3d5d610b16ca7e87c841ef7ad06a94d0399b4773
[ "MIT" ]
null
null
null
# standard modules import argparse import os # aliased standard modules import pandas as pd # modules of sanity checker import add_exp_to_ref import lib.paths as paths import lib.utils as utils import perform_test import process_data import lib.logger_config as logger_config import lib.test_config as test_config # a...
33.510549
78
0.559179
936
7,942
4.470085
0.251068
0.031788
0.02175
0.037285
0.131692
0.094407
0.039436
0.024857
0
0
0
0.001733
0.346134
7,942
236
79
33.652542
0.803967
0.05515
0
0.187879
0
0
0.179425
0.003005
0
0
0
0
0
1
0.006061
false
0
0.072727
0
0.078788
0.006061
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b62f88e0203b50c17277370c79cdacb1a42f5adc
181
py
Python
Statistics/Mean.py
Ra654/Stats-Calculator
039ecaba3f8bb3ef69bb29e27f9c32d0fe2096b0
[ "MIT" ]
null
null
null
Statistics/Mean.py
Ra654/Stats-Calculator
039ecaba3f8bb3ef69bb29e27f9c32d0fe2096b0
[ "MIT" ]
null
null
null
Statistics/Mean.py
Ra654/Stats-Calculator
039ecaba3f8bb3ef69bb29e27f9c32d0fe2096b0
[ "MIT" ]
null
null
null
from Calculator.Addition import addition from Calculator.Division import division def mean(num): values = len(num) total = sum(num) return division(values, total)
13.923077
40
0.718232
23
181
5.652174
0.565217
0.215385
0
0
0
0
0
0
0
0
0
0
0.20442
181
12
41
15.083333
0.902778
0
0
0
0
0
0
0
0
0
0
0
0
1
0.166667
false
0
0.333333
0
0.666667
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
1
0
0
4
b62fba3135ecc22de76c3d70195022e9172fe712
144
py
Python
notion2md/color.py
The-Soloist/notion2md
1fb35b7798b273a89a4d280cd1a86b9cf9de88d5
[ "MIT" ]
null
null
null
notion2md/color.py
The-Soloist/notion2md
1fb35b7798b273a89a4d280cd1a86b9cf9de88d5
[ "MIT" ]
null
null
null
notion2md/color.py
The-Soloist/notion2md
1fb35b7798b273a89a4d280cd1a86b9cf9de88d5
[ "MIT" ]
null
null
null
black = "\033[1;30m" red = "\033[1;31m" green = "\033[01;32m" yellow = "\033[01;33m" blue = "\033[01;34m" white = "\033[01;37m" end = "\033[0m"
18
22
0.569444
27
144
3.037037
0.62963
0.243902
0
0
0
0
0
0
0
0
0
0.357724
0.145833
144
7
23
20.571429
0.308943
0
0
0
0
0
0.493056
0
0
0
0
0
0
1
0
false
0
0
0
0
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
5
b62ff9e5eec8b6d69d6eaf98f80cfd17b261bf8f
253,617
py
Python
src/MSI/optimization/matrix_loader.py
carlylagrotta/MSI
e958beb5df2a2d1018bbb2f96382b5c99b08c3ef
[ "MIT" ]
1
2021-06-25T15:46:06.000Z
2021-06-25T15:46:06.000Z
src/MSI/optimization/matrix_loader.py
TheBurkeLab/MSI
e958beb5df2a2d1018bbb2f96382b5c99b08c3ef
[ "MIT" ]
null
null
null
src/MSI/optimization/matrix_loader.py
TheBurkeLab/MSI
e958beb5df2a2d1018bbb2f96382b5c99b08c3ef
[ "MIT" ]
2
2019-12-18T23:45:25.000Z
2021-06-10T20:37:20.000Z
import numpy as np import pandas as pd from ..master_equation import master_equation as meq #import MSI.master_equation.master_equation as meq import copy import re import cantera as ct class OptMatrix(object): def __init__(self): self.S_matrix = None self.s_matrix = None self.Y_matrix = N...
62.590573
375
0.541718
24,945
253,617
5.133333
0.028864
0.013682
0.011386
0.015181
0.873394
0.838596
0.809342
0.782751
0.764367
0.747312
0
0.009446
0.365504
253,617
4,051
376
62.606023
0.786302
0.058624
0
0.703662
0
0.000378
0.086811
0.020438
0
0
0
0
0
1
0.013213
false
0.00151
0.002643
0.000378
0.033975
0.001133
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
b630cb3736e98a7c40bd2693a526558233a1f22d
745
py
Python
meiduo_mall/meiduo_mall/utils/authenticate.py
yuluo0809/meiduo
384935ee44bbbfa82314363ae0b886ca0a5ca70e
[ "MIT" ]
null
null
null
meiduo_mall/meiduo_mall/utils/authenticate.py
yuluo0809/meiduo
384935ee44bbbfa82314363ae0b886ca0a5ca70e
[ "MIT" ]
null
null
null
meiduo_mall/meiduo_mall/utils/authenticate.py
yuluo0809/meiduo
384935ee44bbbfa82314363ae0b886ca0a5ca70e
[ "MIT" ]
null
null
null
from django.contrib.auth.backends import ModelBackend import re from users.models import User from django.db.models import Q class MeiduoModelBackend(ModelBackend): def authenticate(self, request, username=None, password=None, **kwargs): if request is None: try: user = User.obj...
32.391304
97
0.591946
82
745
5.341463
0.426829
0.045662
0.050228
0.082192
0.484018
0.484018
0.484018
0.484018
0.484018
0.484018
0
0
0.327517
745
22
98
33.863636
0.874252
0
0
0.5
0
0
0
0
0
0
0
0
0
1
0.05
false
0.15
0.2
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
1
0
0
0
0
0
1
b6353c0bdb47d9dde56dcc48c5df873e0f1636bc
1,278
py
Python
api/rqst_getter.py
Maziar110/api_client_test
52e5a2ffb0b46be71f34452132b13e5e941ae327
[ "MIT" ]
null
null
null
api/rqst_getter.py
Maziar110/api_client_test
52e5a2ffb0b46be71f34452132b13e5e941ae327
[ "MIT" ]
null
null
null
api/rqst_getter.py
Maziar110/api_client_test
52e5a2ffb0b46be71f34452132b13e5e941ae327
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 from flask import Flask, request from datetime import datetime from flask_opentracing import FlaskTracing from jaeger_client import Config app = Flask(__name__) config = Config(config= { 'sampler': {'type': 'const', 'param': 1}, 'local_agent': {'reporting_host': '172.2.1.5'} }, ...
22.034483
57
0.618153
171
1,278
4.444444
0.473684
0.082895
0.055263
0.034211
0
0
0
0
0
0
0
0.013065
0.22144
1,278
57
58
22.421053
0.750754
0.016432
0
0.046512
0
0
0.144338
0
0
0
0
0
0
1
0.046512
false
0
0.093023
0
0.186047
0.093023
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b635f0d40cb3101837e75e9dc809c6fe5a254ffe
149
py
Python
problems/0493/compute.py
Dynortice/Project-Euler
99a0201b5d5f147eab77fc52d9db8995045cded0
[ "MIT" ]
null
null
null
problems/0493/compute.py
Dynortice/Project-Euler
99a0201b5d5f147eab77fc52d9db8995045cded0
[ "MIT" ]
null
null
null
problems/0493/compute.py
Dynortice/Project-Euler
99a0201b5d5f147eab77fc52d9db8995045cded0
[ "MIT" ]
null
null
null
from math import prod def compute(n: int, k: int) -> float: return round(7 * (1 - prod((i - k) / i for i in range(n // 7 * 6 + 1, n + 1))), 9)
24.833333
86
0.530201
30
149
2.633333
0.666667
0
0
0
0
0
0
0
0
0
0
0.064815
0.275168
149
5
87
29.8
0.666667
0
0
0
0
0
0
0
0
0
0
0
0
1
0.333333
false
0
0.333333
0.333333
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
1
1
1
0
0
5
b636dd98793502ba5f717594cef6b13dafcec083
799
py
Python
packages/core/minos-microservice-common/tests/test_common/test_model/test_abc.py
sorasful/minos-python
1189330eebf6444627a2af6b29f347670f95a4dd
[ "MIT" ]
247
2022-01-24T14:55:30.000Z
2022-03-25T12:06:17.000Z
packages/core/minos-microservice-common/tests/test_common/test_model/test_abc.py
sorasful/minos-python
1189330eebf6444627a2af6b29f347670f95a4dd
[ "MIT" ]
400
2021-04-03T08:51:40.000Z
2022-01-28T11:51:22.000Z
packages/core/minos-microservice-common/tests/test_common/test_model/test_abc.py
sorasful/minos-python
1189330eebf6444627a2af6b29f347670f95a4dd
[ "MIT" ]
21
2022-02-06T17:25:58.000Z
2022-03-27T04:50:29.000Z
import unittest from collections.abc import ( Mapping, ) from uuid import ( UUID, uuid4, ) from minos.common import ( DeclarativeModel, Field, Model, ) from tests.model_classes import ( FooBar, ) class TestModel(unittest.TestCase): def test_base(self): self.assertTrue(issubcla...
19.487805
87
0.628285
85
799
5.670588
0.435294
0.043568
0
0
0
0
0
0
0
0
0
0.006711
0.254068
799
40
88
19.975
0.802013
0
0
0
0
0
0.035044
0
0
0
0
0
0.129032
1
0.129032
false
0
0.16129
0.032258
0.387097
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
b63706705437012c6dcf007e355dcfa0951e03d3
7,197
py
Python
twitterBattleGame/twitterbattlegame.py
ferrithemaker/makertrends-twitter
6055a2437cf567f14aa513a906615488f7c35549
[ "MIT" ]
null
null
null
twitterBattleGame/twitterbattlegame.py
ferrithemaker/makertrends-twitter
6055a2437cf567f14aa513a906615488f7c35549
[ "MIT" ]
null
null
null
twitterBattleGame/twitterbattlegame.py
ferrithemaker/makertrends-twitter
6055a2437cf567f14aa513a906615488f7c35549
[ "MIT" ]
null
null
null
from tweepy.streaming import StreamListener from tweepy import OAuthHandler from tweepy import Stream import json import threading import sys import pygame import os if len(sys.argv) == 3: search_strings = [sys.argv[1],sys.argv[2]] else: print("Usage: twitterbattlegame.py [TREND1_STRING] [TREND2_STRING]") sys.exit...
25.888489
87
0.725163
923
7,197
5.605634
0.266522
0.023193
0.017395
0.024353
0.263433
0.232315
0.209123
0.192888
0.192888
0.153073
0
0.042928
0.155204
7,197
277
88
25.981949
0.808059
0.096707
0
0.247312
0
0
0.057368
0.024432
0
0
0
0
0
1
0.026882
false
0
0.043011
0.010753
0.096774
0.005376
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b6391b49ca6fcd9413c9bf008da249b350c2a41b
568
py
Python
am_instapound_backend/pictures/api/permissions.py
eryknn/am-instapound-backend
b7114ce323229e92b2770403cb72886726a461ef
[ "MIT" ]
null
null
null
am_instapound_backend/pictures/api/permissions.py
eryknn/am-instapound-backend
b7114ce323229e92b2770403cb72886726a461ef
[ "MIT" ]
null
null
null
am_instapound_backend/pictures/api/permissions.py
eryknn/am-instapound-backend
b7114ce323229e92b2770403cb72886726a461ef
[ "MIT" ]
null
null
null
from rest_framework import permissions class IsPictureCreatorOrSafeOnly(permissions.BasePermission): def has_object_permission(self, request, view, obj): if request.method in permissions.SAFE_METHODS or view.action == 'like': return True return obj.uploaded_by == request.user class...
28.4
79
0.730634
63
568
6.444444
0.492063
0.123153
0.137931
0.152709
0.512315
0.512315
0.512315
0.512315
0.512315
0.512315
0
0
0.200704
568
19
80
29.894737
0.894273
0
0
0.363636
0
0
0.007042
0
0
0
0
0
0
1
0.181818
false
0
0.090909
0
0.818182
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
1
b63a56f5ac4eb798614b96efdd9374c1833b3b4f
5,597
py
Python
focus/PhaseretrievalresultsTinyTim.py
sniemi/SamPy
e048756feca67197cf5f995afd7d75d8286e017b
[ "BSD-2-Clause" ]
5
2016-05-28T14:12:28.000Z
2021-04-22T10:23:12.000Z
focus/PhaseretrievalresultsTinyTim.py
sniemi/SamPy
e048756feca67197cf5f995afd7d75d8286e017b
[ "BSD-2-Clause" ]
null
null
null
focus/PhaseretrievalresultsTinyTim.py
sniemi/SamPy
e048756feca67197cf5f995afd7d75d8286e017b
[ "BSD-2-Clause" ]
2
2015-07-13T10:04:10.000Z
2021-04-22T10:23:23.000Z
""" TinyTim model PSF phase retrieval results. HISTORY: Created on March 3, 2011 :author: Sami-Matias Niemi :contact: niemi@stsci.edu :version: 0.1 """ import matplotlib matplotlib.use('PDF') import pylab as P import glob as G import numpy as N import os from matplotlib import cm import SamPy.focus.phaseretrievalres...
31.44382
98
0.516527
740
5,597
3.867568
0.285135
0.033194
0.033543
0.025157
0.341719
0.314465
0.279874
0.177149
0.132075
0.104822
0
0.058224
0.334108
5,597
178
99
31.44382
0.709686
0.031803
0
0.193798
0
0
0.167243
0.006144
0
0
0
0
0
0
null
null
0
0.054264
null
null
0.093023
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
1
b63aa4a552b83a7cbc88ec12fcd658dfebd4cd02
9,346
py
Python
reachyAudio/reachyAudioAnswering.py
sizingservers/ReachyAudio
af91ed57015d693cc942620495541b482728a513
[ "MIT" ]
3
2021-04-28T15:16:50.000Z
2021-11-01T17:36:09.000Z
reachyAudio/reachyAudioAnswering.py
sizingservers/Reachy.Audio
7e515459b72f2bdc05ee73f159d6bcaaabaef6f5
[ "MIT" ]
null
null
null
reachyAudio/reachyAudioAnswering.py
sizingservers/Reachy.Audio
7e515459b72f2bdc05ee73f159d6bcaaabaef6f5
[ "MIT" ]
2
2021-11-22T13:43:37.000Z
2022-03-03T09:44:16.000Z
"""This module defines the ReachyAudioAnswering class.""" import nltk import json import torch import random import pickle from nltk.stem.lancaster import LancasterStemmer stemmer = LancasterStemmer() CONFIDENCE_THRESHOLD = 0.7 class ReachyAudioAnswering(): """ReachyAudioAnswering class. Th...
39.770213
80
0.581639
1,123
9,346
4.75512
0.247551
0.023408
0.01573
0.01573
0.148127
0.113858
0.09176
0.064794
0.035955
0.018727
0
0.00462
0.351594
9,346
234
81
39.940171
0.876568
0.398673
0
0.038462
0
0
0.048153
0
0
0
0
0
0
1
0.048077
false
0
0.057692
0
0.153846
0.028846
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b63abdbbcdf468494ec4d6e1649a366257180326
4,937
py
Python
mlp/mlp.py
sovrasov/mlp_sample
c27aa4893960e3531fb3135148a26fdf75a2f1d2
[ "MIT" ]
null
null
null
mlp/mlp.py
sovrasov/mlp_sample
c27aa4893960e3531fb3135148a26fdf75a2f1d2
[ "MIT" ]
null
null
null
mlp/mlp.py
sovrasov/mlp_sample
c27aa4893960e3531fb3135148a26fdf75a2f1d2
[ "MIT" ]
null
null
null
import numpy as np def softmax(x): ex = np.exp(-x) return ex / np.sum(ex) def relu(x): return x * (x > 0.) def relu_der(x): return np.ones_like(x) * (x > 0.) class MLP: def __init__(self, lr, bs, momentum, verbose, max_iters, eps=0., hidden_dims=[10]): self.layers = [] self.label...
38.570313
133
0.567956
652
4,937
4.075153
0.162577
0.103877
0.031615
0.028604
0.288671
0.24012
0.228453
0.164848
0.136244
0.072262
0
0.010715
0.300587
4,937
127
134
38.874016
0.758761
0.004254
0
0.075472
0
0
0.0407
0
0
0
0
0
0.056604
1
0.122642
false
0
0.009434
0.028302
0.207547
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
b63d8c3c7c6fd356106b5b059b25964eee3e6080
4,858
py
Python
cap/path.py
ArashLab/CAP
9e6d413e000ebfcade3020985fdedd9aa703d68a
[ "MIT" ]
null
null
null
cap/path.py
ArashLab/CAP
9e6d413e000ebfcade3020985fdedd9aa703d68a
[ "MIT" ]
8
2021-06-24T06:08:27.000Z
2021-07-22T03:47:11.000Z
cap/path.py
ArashLab/CAP
9e6d413e000ebfcade3020985fdedd9aa703d68a
[ "MIT" ]
null
null
null
import os import subprocess from munch import Munch from .logutil import * from .decorators import * if __name__ == '__main__': print('This module is not executable.') exit(0) FileSystems = [ 'file', 'hdfs', 's3', 'gs', 'mysql', 'http', 'https' ] # If a path could match more th...
27.446328
132
0.550638
535
4,858
4.872897
0.257944
0.033755
0.026851
0.03529
0.084388
0.084388
0.084388
0.084388
0.062908
0.037591
0
0.002959
0.304446
4,858
176
133
27.602273
0.768571
0.087485
0
0.183099
0
0
0.140501
0.004744
0
0
0
0
0
1
0.126761
false
0
0.035211
0.049296
0.274648
0.007042
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b63dbaf072cedc88a4143c750b428be483d16342
2,115
py
Python
docdown/media.py
Mobelux/DocDown-Python
7f6270dfe17678cc0f2e899f9665342a0784cffb
[ "BSD-3-Clause" ]
1
2016-12-13T19:37:20.000Z
2016-12-13T19:37:20.000Z
docdown/media.py
Mobelux/DocDown-Python
7f6270dfe17678cc0f2e899f9665342a0784cffb
[ "BSD-3-Clause" ]
2
2021-04-20T13:52:15.000Z
2021-04-26T16:26:24.000Z
docdown/media.py
Mobelux/DocDown-Python
7f6270dfe17678cc0f2e899f9665342a0784cffb
[ "BSD-3-Clause" ]
4
2017-05-21T12:59:09.000Z
2021-04-19T17:41:32.000Z
# -*- coding: utf-8 -*- from __future__ import absolute_import, unicode_literals, print_function from markdown.treeprocessors import Treeprocessor from markdown.extensions import Extension class MediaTreeprocessor(Treeprocessor): def __init__(self, media_url=None, **kwargs): self.media_url = media_url ...
39.166667
112
0.597636
241
2,115
5.041494
0.369295
0.072428
0.115226
0.148148
0.148148
0.148148
0.148148
0.148148
0.148148
0.148148
0
0.001318
0.28227
2,115
53
113
39.90566
0.799078
0.242553
0
0
0
0
0.052963
0
0
0
0
0.018868
0
1
0.178571
false
0
0.107143
0.035714
0.392857
0.035714
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
1
b63f2d5649a160a388ae34356632cd2b5e280e3f
2,275
py
Python
kymatio/phaseexp1d/pyscatwave/scatwave/scattering1d/examples/synthetic.py
sixin-zh/kymatio_wph
237c0d2009766cf83b2145420a14d3c6e90dc983
[ "BSD-3-Clause" ]
null
null
null
kymatio/phaseexp1d/pyscatwave/scatwave/scattering1d/examples/synthetic.py
sixin-zh/kymatio_wph
237c0d2009766cf83b2145420a14d3c6e90dc983
[ "BSD-3-Clause" ]
null
null
null
kymatio/phaseexp1d/pyscatwave/scatwave/scattering1d/examples/synthetic.py
sixin-zh/kymatio_wph
237c0d2009766cf83b2145420a14d3c6e90dc983
[ "BSD-3-Clause" ]
null
null
null
import torch from torch.autograd import Variable from scatwave import Scattering1D import matplotlib.pyplot as plt import numpy as np from sklearn.utils import check_random_state def generate_harmonic_signal(T, num_intervals=4, gamma=0.9, random_state=42): """ Generates a harmonic signal, which is made of pie...
32.971014
77
0.638681
340
2,275
4.152941
0.35
0.031161
0.038244
0.048867
0.120397
0.120397
0.120397
0.077904
0.077904
0.077904
0
0.037543
0.227253
2,275
68
78
33.455882
0.765643
0.103736
0
0
1
0
0.051587
0
0
0
0
0
0
1
0.039216
false
0
0.117647
0
0.176471
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
b640cb56865053f7246a487959ec18a980db1340
1,823
py
Python
main.py
Vivektp/Image-UploadBot-1
01d70d4425d082639e46d954d0b900d478ad29c9
[ "MIT" ]
null
null
null
main.py
Vivektp/Image-UploadBot-1
01d70d4425d082639e46d954d0b900d478ad29c9
[ "MIT" ]
null
null
null
main.py
Vivektp/Image-UploadBot-1
01d70d4425d082639e46d954d0b900d478ad29c9
[ "MIT" ]
1
2021-01-07T02:26:26.000Z
2021-01-07T02:26:26.000Z
from pyrogram import Client, filters import os, shutil from creds import my from telegraph import upload_file import logging logging.basicConfig(level=logging.INFO) TGraph = Client( "Image upload bot", bot_token = my.BOT_TOKEN, api_id = my.API_ID, api_hash = my.API_HASH ) @TGraph.o...
37.204082
302
0.64893
281
1,823
4.170819
0.459075
0.008532
0.038396
0.056314
0.199659
0.139932
0.061433
0.061433
0
0
0
0.002116
0.222161
1,823
48
303
37.979167
0.815938
0
0
0
0
0.052632
0.345352
0.017465
0
0
0
0
0
1
0
false
0
0.131579
0
0.157895
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
b64465faae2a9d77dbcd14ac084106824ac896e5
1,237
py
Python
action-server/covidflow/utils/geocoding.py
nuecho/covidflow
050665c629ea46bfebc0920ba1dba841c2268d08
[ "MIT" ]
7
2020-05-23T07:07:26.000Z
2021-11-29T05:58:51.000Z
action-server/covidflow/utils/geocoding.py
dialoguemd/covidflow
b159b76dc68462f272614db4cbf716844872ebca
[ "MIT" ]
210
2020-04-13T17:21:55.000Z
2021-04-20T15:46:26.000Z
action-server/covidflow/utils/geocoding.py
dialoguemd/covidflow
b159b76dc68462f272614db4cbf716844872ebca
[ "MIT" ]
3
2020-04-09T14:38:09.000Z
2020-07-29T15:06:11.000Z
import os from typing import Any, Dict, Optional import googlemaps import structlog from geopy.point import Point logger = structlog.get_logger() DEFAULT_COUNTRY = "CA" GOOGLE_API_KEY_ENV = "GOOGLE_GEOCODING_API_KEY" GEOMETRY = "geometry" LOCATION = "location" LATITUDE = "lat" LONGITUDE = "lng" class Geocoding: ...
26.319149
82
0.669361
149
1,237
5.33557
0.328859
0.050314
0.030189
0.037736
0.083019
0.083019
0.083019
0
0
0
0
0.002077
0.221504
1,237
46
83
26.891304
0.823468
0
0
0.125
0
0
0.067098
0.019402
0
0
0
0
0
1
0.125
false
0
0.15625
0
0.46875
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b646b8cf155b631e43329c320bbdd520d22b745c
5,319
py
Python
calculadora.py
WelberthyGustavo/Calculadora
2d01dba2db06796c8d237302f3ad024c8be359ea
[ "MIT" ]
4
2020-04-21T01:42:30.000Z
2020-10-26T01:59:33.000Z
calculadora.py
WelberthyGustavo/Calculadora
2d01dba2db06796c8d237302f3ad024c8be359ea
[ "MIT" ]
null
null
null
calculadora.py
WelberthyGustavo/Calculadora
2d01dba2db06796c8d237302f3ad024c8be359ea
[ "MIT" ]
null
null
null
from functools import partial from tkinter import * #program by~ Welberthy Gustavo Developer def calc(btn): if btn['text'].isdigit() or btn['text'] == '.': lbl['text'] += btn['text'] def soma(): global sinal sinal = 'soma' global valor1 valor1 = lbl['text'] lb...
29.065574
121
0.588644
764
5,319
4.102094
0.175393
0.080408
0.108488
0.114869
0.457243
0.438098
0.438098
0.395341
0.328334
0.328334
0
0.078087
0.217522
5,319
183
122
29.065574
0.674195
0.020493
0
0.280822
0
0
0.131396
0.005176
0.006849
0
0
0
0
1
0.068493
false
0
0.013699
0
0.082192
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
b6473eeb720250834546c75004a0f9e6557be8db
1,928
py
Python
fastfood/exc.py
enterstudio/fastfood
6e18500b2d08698f6fa8d9d54daee6aa78f9efd0
[ "Apache-2.0" ]
null
null
null
fastfood/exc.py
enterstudio/fastfood
6e18500b2d08698f6fa8d9d54daee6aa78f9efd0
[ "Apache-2.0" ]
null
null
null
fastfood/exc.py
enterstudio/fastfood
6e18500b2d08698f6fa8d9d54daee6aa78f9efd0
[ "Apache-2.0" ]
null
null
null
# Copyright 2015 Rackspace US, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in wri...
26.054054
76
0.708506
240
1,928
5.616667
0.554167
0.04451
0.019288
0.023739
0
0
0
0
0
0
0
0.008393
0.196577
1,928
73
77
26.410959
0.861846
0.528008
0
0.08
0
0
0.024706
0
0
0
0
0
0
1
0.04
false
0
0.04
0
0.32
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
b6476924d1d5ed2df7e1b8fbabacbac62cb195f4
2,320
py
Python
script.py
Freakwill/nb-combination
716227ba22f6c0c404898a00c18362a41ae3c701
[ "MIT" ]
null
null
null
script.py
Freakwill/nb-combination
716227ba22f6c0c404898a00c18362a41ae3c701
[ "MIT" ]
null
null
null
script.py
Freakwill/nb-combination
716227ba22f6c0c404898a00c18362a41ae3c701
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 # -*- coding: utf-8 -*- from nb_comb import * from sklearn.naive_bayes import * from sklearn.tree import * from sklearn.neural_network import * from sklearn.model_selection import * import pandas as pd data = pd.read_csv('dataset.csv', index_col=0) X, Y = data.iloc[:, :-1], data.iloc[:, -1].va...
31.351351
152
0.64181
284
2,320
5.137324
0.482394
0.06854
0.046607
0.024674
0.145305
0.145305
0.117889
0.117889
0
0
0
0.027055
0.171552
2,320
73
153
31.780822
0.73205
0.018534
0
0.04
0
0
0.194897
0
0
0
0
0
0
1
0
false
0
0.16
0
0.16
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
b648270cc7e72988968f45c3ecb5aa68300d62b6
397
py
Python
Python/concatenation.py
aaavinash85/Python
cd58606f6f01c9bdccffb58e0f73825958679125
[ "MIT" ]
null
null
null
Python/concatenation.py
aaavinash85/Python
cd58606f6f01c9bdccffb58e0f73825958679125
[ "MIT" ]
null
null
null
Python/concatenation.py
aaavinash85/Python
cd58606f6f01c9bdccffb58e0f73825958679125
[ "MIT" ]
null
null
null
name='avi' print(name) #name[0]='k' here this results in a error because strings are immutable last_letters=name[1:] print(last_letters) print('k'+last_letters) #here is the string concateation #here we replaced 'a' with 'k' lname='koshal' print("the concated string=",'Avinash'+ ln...
33.083333
83
0.642317
60
397
4.2
0.566667
0.130952
0
0
0
0
0
0
0
0
0
0.019802
0.236776
397
11
84
36.090909
0.811881
0.453401
0
0
0
0
0.178404
0
0
0
0
0
0
1
0
false
0
0
0
0
0.555556
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
1
b64988acdfd787dd4e82daec7148ef1883880c19
25
py
Python
python/testData/performance/overloads/fixture/overloads/__init__.py
06needhamt/intellij-community
63d7b8030e4fdefeb4760e511e289f7e6b3a5c5b
[ "Apache-2.0" ]
null
null
null
python/testData/performance/overloads/fixture/overloads/__init__.py
06needhamt/intellij-community
63d7b8030e4fdefeb4760e511e289f7e6b3a5c5b
[ "Apache-2.0" ]
null
null
null
python/testData/performance/overloads/fixture/overloads/__init__.py
06needhamt/intellij-community
63d7b8030e4fdefeb4760e511e289f7e6b3a5c5b
[ "Apache-2.0" ]
null
null
null
def func(x, y): pass
8.333333
15
0.52
5
25
2.6
1
0
0
0
0
0
0
0
0
0
0
0
0.32
25
2
16
12.5
0.764706
0
0
0
0
0
0
0
0
0
0
0
0
1
0.5
false
0.5
0
0
0.5
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
1
0
0
0
0
0
5
b649d55b955af3b2e169f07a8038551b9e42e9ff
17,165
py
Python
placer/placer_lib_test.py
beomyeol/baechi
796dd45f6db6eb11bb2fba2acfd56f51da024df8
[ "NCSA" ]
4
2020-09-27T01:32:23.000Z
2022-03-06T22:49:19.000Z
placer/placer_lib_test.py
beomyeol/baechi
796dd45f6db6eb11bb2fba2acfd56f51da024df8
[ "NCSA" ]
null
null
null
placer/placer_lib_test.py
beomyeol/baechi
796dd45f6db6eb11bb2fba2acfd56f51da024df8
[ "NCSA" ]
1
2021-11-15T06:36:29.000Z
2021-11-15T06:36:29.000Z
# Copyright 2020 University of Illinois Board of Trustees. All Rights Reserved. # Author: Beomyeol Jeon, DPRG (https://dprg.cs.uiuc.edu) # This file is part of Baechi, which is released under specific terms. See file License.txt file for full license details. # ==========================================================...
45.651596
122
0.55887
2,159
17,165
4.192219
0.058824
0.092034
0.079549
0.085073
0.896034
0.878908
0.795161
0.777704
0.74942
0.723898
0
0.051886
0.267929
17,165
375
123
45.773333
0.668391
0.05785
0
0.726984
0
0
0.216766
0
0
0
0
0
0.260317
1
0.022222
false
0
0.009524
0
0.034921
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
b64a9935e9810f6c5f1a61a7b125688afb12a906
3,073
py
Python
corehq/blobs/tests/test_export.py
roboton/commcare-hq
3ccbe59508d98dd1963ca87cf249dd2df8af8ecc
[ "BSD-3-Clause" ]
null
null
null
corehq/blobs/tests/test_export.py
roboton/commcare-hq
3ccbe59508d98dd1963ca87cf249dd2df8af8ecc
[ "BSD-3-Clause" ]
1
2021-06-02T04:45:16.000Z
2021-06-02T04:45:16.000Z
corehq/blobs/tests/test_export.py
roboton/commcare-hq
3ccbe59508d98dd1963ca87cf249dd2df8af8ecc
[ "BSD-3-Clause" ]
null
null
null
import os import uuid from io import BytesIO from tempfile import NamedTemporaryFile from zipfile import ZipFile from django.test import TestCase from corehq.apps.hqmedia.models import CommCareAudio, CommCareVideo, CommCareImage from corehq.blobs import CODES, get_blob_db from corehq.blobs.export import EXPORTERS fro...
37.024096
99
0.617312
379
3,073
4.860158
0.324538
0.043431
0.045603
0.017372
0.248643
0.228013
0.153094
0.153094
0.115092
0.115092
0
0.00449
0.275301
3,073
82
100
37.47561
0.822631
0
0
0.144928
0
0
0.052392
0
0
0
0
0
0.057971
1
0.057971
false
0
0.144928
0
0.217391
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
b64f13ebbb17fadf2e674f33e8566118f8aa3dfa
922
py
Python
telescope/utils/annotation.py
froy0212/telescope
05f6f058d8106c86cb4eb62239800ab2261eaaad
[ "MIT" ]
25
2019-05-31T23:27:56.000Z
2022-03-11T07:43:59.000Z
telescope/utils/annotation.py
jianguozhouzunyimedicaluniversity/telescope
6cd55256c6016feffdbfe10346bfecfcb1e30965
[ "MIT" ]
24
2018-12-10T16:44:59.000Z
2022-03-20T19:58:37.000Z
telescope/utils/annotation.py
jianguozhouzunyimedicaluniversity/telescope
6cd55256c6016feffdbfe10346bfecfcb1e30965
[ "MIT" ]
8
2019-09-04T13:45:08.000Z
2022-03-15T15:57:22.000Z
# -*- coding: utf-8 -*- from __future__ import print_function from __future__ import absolute_import __author__ = 'Matthew L. Bendall' __copyright__ = "Copyright (C) 2019 Matthew L. Bendall" def get_annotation_class(annotation_class_name): """ Get Annotation class matching provided name Args: annotat...
34.148148
75
0.719089
96
922
6.53125
0.53125
0.191388
0.121212
0
0
0
0
0
0
0
0
0.006849
0.208243
922
26
76
35.461538
0.852055
0.321041
0
0
0
0
0.22973
0
0
0
0
0
0
1
0.083333
false
0
0.25
0
0.416667
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
b64f934d0ea49d49f24b9f5e245749b3e6460dfb
6,012
py
Python
web/frontend/views/config.py
tcsvn/activity-assistant
eeb0ef72a046a8a781ff31b384edec8243dd22a7
[ "MIT" ]
45
2020-11-06T20:31:13.000Z
2022-03-24T06:14:18.000Z
web/frontend/views/config.py
tcsvn/activity-assistant
eeb0ef72a046a8a781ff31b384edec8243dd22a7
[ "MIT" ]
10
2020-12-14T00:17:11.000Z
2022-02-06T19:39:01.000Z
web/frontend/views/config.py
tcsvn/activity-assistant
eeb0ef72a046a8a781ff31b384edec8243dd22a7
[ "MIT" ]
3
2020-12-15T22:50:09.000Z
2022-03-13T21:12:28.000Z
from backend.models import * from django.views.generic import TemplateView from django.shortcuts import render, redirect import os import hass_api.rest as hass_rest from frontend.util import get_server, refresh_hass_token, \ get_device_names, get_activity_names, get_person_hass_names, \ get_person_names, input...
33.966102
83
0.614604
740
6,012
4.747297
0.178378
0.046968
0.031882
0.035867
0.356106
0.299744
0.281526
0.266154
0.221178
0.2078
0
0.002989
0.276447
6,012
176
84
34.159091
0.804598
0.03177
0
0.304054
0
0
0.088778
0.009654
0
0
0
0
0.027027
1
0.074324
false
0.006757
0.060811
0.006757
0.243243
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b650cf8f96e44c66b3acac463da66cefb0635f96
1,843
py
Python
File System/main.py
IRIDIUM-SUB/Sys_Course_Design
52ec96378e9f9c8d7dc366efcba154df3f1cbc67
[ "MIT" ]
null
null
null
File System/main.py
IRIDIUM-SUB/Sys_Course_Design
52ec96378e9f9c8d7dc366efcba154df3f1cbc67
[ "MIT" ]
null
null
null
File System/main.py
IRIDIUM-SUB/Sys_Course_Design
52ec96378e9f9c8d7dc366efcba154df3f1cbc67
[ "MIT" ]
null
null
null
import os from toolbox import * import pickle import logging import commandresolve def console(data:dict,logger): ''' Main console program ''' consoleobj=commandresolve.commandresolve(data,logger) flag=True# to mark if it is time to exit while (flag): rawcommand=input(">") flag=c...
26.710145
79
0.62344
203
1,843
5.62069
0.472906
0.052585
0.039439
0.031551
0.168273
0.168273
0.168273
0.168273
0.168273
0.168273
0
0.005908
0.265328
1,843
68
80
27.102941
0.83678
0.098209
0
0.186047
0
0
0.202989
0
0
0
0
0
0
1
0.023256
false
0
0.116279
0
0.162791
0.023256
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b6511db93d9ed485759c7b0e96ca84109e977890
1,428
py
Python
benchmarks/evaluate.py
benetech/Winnow2.0
bc428d7f74bd7db71b6d70ab15dc7a5c37786c46
[ "MIT" ]
26
2019-12-16T21:22:14.000Z
2022-03-25T16:05:32.000Z
benchmarks/evaluate.py
benetech/Winnow2.0
bc428d7f74bd7db71b6d70ab15dc7a5c37786c46
[ "MIT" ]
325
2019-10-28T16:24:45.000Z
2022-03-31T13:12:15.000Z
benchmarks/evaluate.py
benetech/Winnow2.0
bc428d7f74bd7db71b6d70ab15dc7a5c37786c46
[ "MIT" ]
9
2019-10-09T16:20:38.000Z
2021-12-22T18:44:45.000Z
import pandas as pd from glob import glob from utils import evaluate_augmented_dataset, evaluate_landmarks, evaluate_scene_detection import os from winnow.utils.config import resolve_config import click import numpy as np import json pd.options.mode.chained_assignment = None @click.command() @click.option("--benchma...
26.444444
106
0.72549
179
1,428
5.592179
0.435754
0.077922
0.087912
0.111888
0.215784
0.13986
0.101898
0.101898
0
0
0
0
0.171569
1,428
53
107
26.943396
0.846154
0
0
0.157895
0
0
0.278711
0.015406
0
0
0
0
0
1
0.026316
false
0
0.210526
0
0.236842
0.026316
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b6513dae72381facd289c7f1890adba74d041c52
393
py
Python
generate_azn.py
brunston/enigma
3944fade43e100f3f631e308cf70fd28242a7b26
[ "MIT" ]
null
null
null
generate_azn.py
brunston/enigma
3944fade43e100f3f631e308cf70fd28242a7b26
[ "MIT" ]
null
null
null
generate_azn.py
brunston/enigma
3944fade43e100f3f631e308cf70fd28242a7b26
[ "MIT" ]
null
null
null
# generate a*z_n = {ax : x in z_n} for any a in z_n # brupoon n = int(input("Z_n (integer n)? ")) a = int(input("a for a*Z_n (integer a)?")) z_n = [] az_n = [] for i in range(n): # standard set z_n z_n.append(i) for x in range(n): value = (a*x) % n # find ax in z_n az_n.append(value) #az_n = sort...
18.714286
51
0.572519
88
393
2.363636
0.284091
0.115385
0.057692
0.048077
0
0
0
0
0
0
0
0.006601
0.229008
393
20
52
19.65
0.679868
0.274809
0
0
1
0
0.21147
0
0
0
0
0
0
1
0
false
0
0
0
0
0.181818
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
b653a28ba11c9bc2e835fdedaf5686ad56584df6
909
py
Python
Symmetric/Stream-Cipher/LFSR/script.py
killua4564/Symmetric
183ea2ec1d1342e9124e710a2de0fcad8b399f3d
[ "MIT" ]
1
2021-05-05T14:03:10.000Z
2021-05-05T14:03:10.000Z
Symmetric/Stream-Cipher/LFSR/script.py
killua4564/Symmetric
183ea2ec1d1342e9124e710a2de0fcad8b399f3d
[ "MIT" ]
null
null
null
Symmetric/Stream-Cipher/LFSR/script.py
killua4564/Symmetric
183ea2ec1d1342e9124e710a2de0fcad8b399f3d
[ "MIT" ]
null
null
null
from itertools import combinations class LFSR: def __init__(self, register, taps): self.register = register self.taps = taps def next(self): new = 0 ret = self.register[0] for i in self.taps: new ^= self.register[i] self.register = self.register[1:]...
24.567568
86
0.583058
130
909
4
0.338462
0.138462
0.023077
0.069231
0
0
0
0
0
0
0
0.023916
0.264026
909
36
87
25.25
0.753363
0
0
0
0
0
0.035204
0
0
0
0
0
0
1
0.068966
false
0
0.034483
0
0.172414
0.103448
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b653fd0336b468f5a851d3b61d250feb356b48bb
39,571
py
Python
_build/jupyter_execute/lectures/lecture4.py
hfboyce/tableau_course
1480600c711bfa91d2169e999bbf194dd0332088
[ "MIT" ]
null
null
null
_build/jupyter_execute/lectures/lecture4.py
hfboyce/tableau_course
1480600c711bfa91d2169e999bbf194dd0332088
[ "MIT" ]
null
null
null
_build/jupyter_execute/lectures/lecture4.py
hfboyce/tableau_course
1480600c711bfa91d2169e999bbf194dd0332088
[ "MIT" ]
null
null
null
# SVM with RBF Kernel and Feature Preprocessing *Hayley Boyce, April 28th 2021* # Importing our libraries import pandas as pd import altair as alt import numpy as np from sklearn.tree import DecisionTreeClassifier from sklearn.dummy import DummyClassifier, DummyRegressor from sklearn.neighbors import KNeighborsClassi...
38.795098
354
0.753329
6,502
39,571
4.488465
0.146724
0.024877
0.00771
0.004523
0.226494
0.176227
0.152755
0.126028
0.106874
0.087171
0
0.012725
0.157969
39,571
1,019
355
38.83317
0.863145
0
0
0.150847
0
0.10339
0.043639
0.003104
0
0
0
0
0
0
null
null
0.00339
0.045763
null
null
0.025424
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
1
b6547eff1c540120f338f2f7ef9eb6aa040c4692
169
py
Python
HomeWork7.18.py
TiAmolj/Python-By-Joker
df37ddfb58c40d68298b4e862ba23671943de8cf
[ "Apache-2.0" ]
null
null
null
HomeWork7.18.py
TiAmolj/Python-By-Joker
df37ddfb58c40d68298b4e862ba23671943de8cf
[ "Apache-2.0" ]
null
null
null
HomeWork7.18.py
TiAmolj/Python-By-Joker
df37ddfb58c40d68298b4e862ba23671943de8cf
[ "Apache-2.0" ]
null
null
null
# 1 import math r = float(input('输入五边形顶点到中心的距离:')) s = 2*r*(math.sin(math.pi/5)) Area = 5*s*s/(4*math.tan(math.pi/5)) print('The area of the pentagon is %.2f'%Area)
28.166667
46
0.633136
34
169
3.147059
0.617647
0.11215
0.130841
0
0
0
0
0
0
0
0
0.048276
0.142012
169
6
46
28.166667
0.689655
0.005917
0
0
0
0
0.283951
0
0
0
0
0
0
1
0
false
0
0.2
0
0.2
0.2
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
b656698542559160e5320731eda58e8762740f15
20,918
py
Python
app/models.py
LianYun/xing
de0656083133ca78bdbd42c64c2fa3ce1a4fe962
[ "MIT" ]
2
2015-12-20T15:21:30.000Z
2016-08-25T08:56:31.000Z
app/models.py
LianYun/xing
de0656083133ca78bdbd42c64c2fa3ce1a4fe962
[ "MIT" ]
13
2015-12-13T15:57:30.000Z
2016-03-06T09:46:17.000Z
app/models.py
LianYun/xing
de0656083133ca78bdbd42c64c2fa3ce1a4fe962
[ "MIT" ]
null
null
null
# _*_ coding: utf-8 _*_ """ 本部分定义应用的所有数据库对象。 """ from werkzeug.security import generate_password_hash, check_password_hash from flask.ext.login import UserMixin, AnonymousUserMixin from itsdangerous import TimedJSONWebSignatureSerializer as Serializer from flask import current_app, url_for import datetime from markdow...
34.747508
126
0.563295
2,285
20,918
4.978556
0.153611
0.031646
0.037799
0.025404
0.459124
0.360759
0.327444
0.268372
0.212377
0.171062
0
0.015569
0.321398
20,918
601
127
34.805324
0.78584
0.019074
0
0.29718
1
0.004338
0.079743
0.00511
0
0
0.001376
0
0
1
0.097614
false
0.023861
0.032538
0.030369
0.373102
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
b656d9867f056795fcb0613d2497677c41ee347e
395
py
Python
Curso Python/PythonExercicios/ex020.py
marcos-saba/Cursos
1c063392867e9ed86d141dad8861a2a35488b1c6
[ "MIT" ]
null
null
null
Curso Python/PythonExercicios/ex020.py
marcos-saba/Cursos
1c063392867e9ed86d141dad8861a2a35488b1c6
[ "MIT" ]
null
null
null
Curso Python/PythonExercicios/ex020.py
marcos-saba/Cursos
1c063392867e9ed86d141dad8861a2a35488b1c6
[ "MIT" ]
null
null
null
import random al1 = input('Digite o nome do(a) primeiro(a) aluno(a): ') al2 = input('Digite o nome do (a) segundo(a) aluno(a): ') al3 = input('Digite o nome do(a) terceiro(a) aluno(a): ') al4 = input('Digite o nome do(a) quarto(a) aluno(a): ') lista = [al1, al2, al3, al4] random.shuffle(lista) print(f'A ordem dos aluno...
24.6875
65
0.665823
70
395
3.757143
0.414286
0.1673
0.18251
0.243346
0.288973
0.288973
0
0
0
0
0
0.024242
0.164557
395
15
66
26.333333
0.772727
0.065823
0
0
0
0
0.610497
0
0
0
0
0
0
1
0
false
0
0.125
0
0.125
0.125
0
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
3
b65918d8d15e00f6bff0edc5207846f79e249686
3,058
py
Python
src/python_cryptography/4.signature.py
sudeep0901/python
7a50af12e72d21ca4cad7f2afa4c6f929552043f
[ "MIT" ]
null
null
null
src/python_cryptography/4.signature.py
sudeep0901/python
7a50af12e72d21ca4cad7f2afa4c6f929552043f
[ "MIT" ]
3
2019-12-26T05:13:55.000Z
2020-03-07T06:59:56.000Z
src/python_cryptography/4.signature.py
sudeep0901/python
7a50af12e72d21ca4cad7f2afa4c6f929552043f
[ "MIT" ]
null
null
null
# RSA # RSA Tool generate private public key from Crypto.PublicKey import RSA from Crypto.Cipher import PKCS1_OAEP from Crypto import Random from Crypto.Hash import SHA256 import base64 from Crypto.Signature import PKCS1_PSS class CrptyoRSA: PRIVATE_KEY_FILE = "private_key.pem" PUBLIC_KEY_FILE = "public_key...
31.854167
74
0.683126
384
3,058
5.138021
0.192708
0.082108
0.028383
0.03852
0.228586
0.130765
0.081095
0.081095
0
0
0
0.019789
0.223349
3,058
95
75
32.189474
0.810947
0.105625
0
0.031746
1
0
0.036357
0
0
0
0
0
0
1
0.15873
false
0
0.15873
0.031746
0.47619
0.031746
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
b65951eb0ef82ffdc947697f22310dd635865642
4,122
py
Python
src/mapping/cartographer.py
ThomasRanvier/map_maker
e36ddcc7d5959957d83fae778d8ef715c79712e7
[ "MIT" ]
null
null
null
src/mapping/cartographer.py
ThomasRanvier/map_maker
e36ddcc7d5959957d83fae778d8ef715c79712e7
[ "MIT" ]
null
null
null
src/mapping/cartographer.py
ThomasRanvier/map_maker
e36ddcc7d5959957d83fae778d8ef715c79712e7
[ "MIT" ]
null
null
null
from utils.utils import bresenham_line from math import hypot, cos, sin from utils.position import Position class Cartographer: """ Class that implements a Cartographer, used to update the map of the environment using the lasers echoes. """ def __init__(self, lasers_distance = 0.15, min_increment ...
56.465753
161
0.63246
551
4,122
4.408348
0.170599
0.05599
0.065871
0.039522
0.361054
0.333059
0.272952
0.272952
0.272952
0.251544
0
0.009266
0.293062
4,122
72
162
57.25
0.824297
0.2705
0
0
0
0
0
0
0
0
0
0
0
1
0.05
false
0
0.075
0
0.175
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
b659d814fb65cdd70ff97f52711483193c63f987
5,106
py
Python
demosys/opengl/texture.py
Contraz/demosys-py
0479e0f3b0a3901f601bffd2d11e155f97b47555
[ "0BSD" ]
70
2017-03-31T12:01:41.000Z
2022-01-05T06:30:57.000Z
demosys/opengl/texture.py
Contraz/demosys-py
0479e0f3b0a3901f601bffd2d11e155f97b47555
[ "0BSD" ]
69
2017-06-18T22:37:46.000Z
2020-01-23T04:02:22.000Z
demosys/opengl/texture.py
Contraz/demosys-py
0479e0f3b0a3901f601bffd2d11e155f97b47555
[ "0BSD" ]
9
2017-05-13T21:13:02.000Z
2020-10-01T18:09:49.000Z
""" Draw methods for textures and depth textures """ import moderngl from demosys import context, geometry class TextureHelper: """Draw methods for textures and depth textures""" _quad = None _texture2d_shader = None # Type: moderngl.Program _texture2d_sampler = None # Type: moderngl.Sa...
32.316456
102
0.526244
560
5,106
4.633929
0.1875
0.01079
0.009249
0.006166
0.601156
0.506358
0.506358
0.455491
0.426204
0.383815
0
0.034266
0.377007
5,106
157
103
32.522293
0.781515
0.159812
0
0.480769
0
0.028846
0.385503
0
0
0
0
0
0
1
0.067308
false
0
0.028846
0.019231
0.173077
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
b65c498fb47fab313371a80e39143108433be373
1,136
py
Python
avancado/POO/metaclasses.py
Nataliaartini/cursoPython
01dc9cafd5cef1252ca84503e7a9011bd709ef46
[ "MIT" ]
null
null
null
avancado/POO/metaclasses.py
Nataliaartini/cursoPython
01dc9cafd5cef1252ca84503e7a9011bd709ef46
[ "MIT" ]
null
null
null
avancado/POO/metaclasses.py
Nataliaartini/cursoPython
01dc9cafd5cef1252ca84503e7a9011bd709ef46
[ "MIT" ]
null
null
null
class Meta(type): def __new__(mcs, name, bases, namespace): print(name) if name == "A": return type.__new__(mcs, name, bases, namespace) if "attr_classe" in namespace: print(f"{name} tentou sobrescrever o atributo attr_classe") del namespace["attr_classe"...
25.818182
102
0.601232
164
1,136
4.006098
0.365854
0.106545
0.045662
0.068493
0.14003
0.103501
0.103501
0
0
0
0
0
0.277289
1,136
43
103
26.418605
0.800244
0.141725
0
0.066667
0
0
0.218557
0
0
0
0
0
0
1
0.1
false
0
0
0
0.333333
0.3
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b65c6b66aba642829f6360c17136a6c5c24bf822
1,787
py
Python
local_telegramListener/main.py
pratijayguha/AutomatedLightingControl
0ce3b275b2734deb1695a28e43417784184dde84
[ "MIT" ]
null
null
null
local_telegramListener/main.py
pratijayguha/AutomatedLightingControl
0ce3b275b2734deb1695a28e43417784184dde84
[ "MIT" ]
null
null
null
local_telegramListener/main.py
pratijayguha/AutomatedLightingControl
0ce3b275b2734deb1695a28e43417784184dde84
[ "MIT" ]
null
null
null
from utils import * from bot import telegram_chatbot from bulb import * bot = telegram_chatbot(CONFIG_LOCATION) print('Initialized Bot') bulb = bulb(IP_RANGE) print('Connected to bulb. IP address: {}'.format(bulb.address)) while True: updates = bot.get_updates(offset=update_id) updates = updates["r...
36.469388
113
0.476777
175
1,787
4.771429
0.405714
0.052695
0.035928
0.045509
0.179641
0.064671
0.064671
0
0
0
0
0.000986
0.432569
1,787
48
114
37.229167
0.822485
0.029099
0
0.125
0
0
0.213436
0
0
0
0
0
0
1
0
false
0
0.075
0
0.075
0.075
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b65c74d6a744f8c2e4b55ae69055df5a4d973d76
5,365
py
Python
engines/email_engine.py
dho-IOD/futu_algo
f4bdf5edcc261efbd252e9e9c53a89563b0ed68f
[ "Apache-2.0" ]
66
2020-12-29T15:03:21.000Z
2022-03-29T01:24:59.000Z
engines/email_engine.py
dho-IOD/futu_algo
f4bdf5edcc261efbd252e9e9c53a89563b0ed68f
[ "Apache-2.0" ]
22
2020-12-29T16:57:03.000Z
2022-03-01T08:23:37.000Z
engines/email_engine.py
dho-IOD/futu_algo
f4bdf5edcc261efbd252e9e9c53a89563b0ed68f
[ "Apache-2.0" ]
30
2021-01-07T07:33:22.000Z
2022-03-17T11:37:02.000Z
# Futu Algo: Algorithmic High-Frequency Trading Framework # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by appli...
33.742138
115
0.569618
614
5,365
4.938111
0.423453
0.03562
0.026385
0.029683
0.047493
0.031003
0.031003
0.031003
0.031003
0.031003
0
0.016816
0.312768
5,365
158
116
33.955696
0.805533
0.192917
0
0.0625
0
0.008929
0.578037
0.085047
0
0
0
0
0
1
0.017857
false
0.026786
0.071429
0
0.098214
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
b65d709e70f3299340952e6028e59d6ffbba4e90
547
py
Python
mundo_2/ex066.py
tseiiti/curso_em_video
59565ce809c1f025fb41ab69de3b8c5b53c8f7b2
[ "MIT" ]
null
null
null
mundo_2/ex066.py
tseiiti/curso_em_video
59565ce809c1f025fb41ab69de3b8c5b53c8f7b2
[ "MIT" ]
null
null
null
mundo_2/ex066.py
tseiiti/curso_em_video
59565ce809c1f025fb41ab69de3b8c5b53c8f7b2
[ "MIT" ]
null
null
null
from os import system, name system('cls' if name == 'nt' else 'clear') dsc = ('''DESAFIO 066: Crie um programa que leia vários números inteiros pelo teclado. O programa só vai parar quando o usuário digitar o valor 999, que é a condição de parada. No final, mostre quantos números foram digitados e qual foi a soma e...
24.863636
68
0.670932
96
547
3.822917
0.71875
0.027248
0
0
0
0
0
0
0
0
0
0.030516
0.221207
547
21
69
26.047619
0.830986
0
0
0
0
0
0.641682
0
0
0
0
0
0
1
0
false
0
0.055556
0
0.055556
0.055556
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
b65ddb5d9166291914db0e277ccb00ba1af84adc
502
py
Python
ex03/ex03.py
cheng10/PythonExerciseBook
11250020995c29e819540de787e91845b1bbbd99
[ "MIT" ]
null
null
null
ex03/ex03.py
cheng10/PythonExerciseBook
11250020995c29e819540de787e91845b1bbbd99
[ "MIT" ]
null
null
null
ex03/ex03.py
cheng10/PythonExerciseBook
11250020995c29e819540de787e91845b1bbbd99
[ "MIT" ]
null
null
null
import string import random import redis alpha = string.ascii_uppercase l = [] while len(l) < 100: res = '' for i in range(16): a = random.choice(alpha) n = str(random.randrange(10)) rand = random.choice([a, n]) res += rand if res not in l: l.append(res) # ...
16.733333
56
0.589641
77
502
3.831169
0.558442
0.027119
0
0
0
0
0
0
0
0
0
0.03252
0.26494
502
29
57
17.310345
0.766938
0.01992
0
0
0
0
0.067347
0
0
0
0
0
0
1
0
false
0
0.142857
0
0.142857
0.190476
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b65e15ab134dbca7c02ad041522ed4d0b673d08e
355
py
Python
setup.py
hoogamaphone/world-manager
8d4515b93d303cf91626f69257e7cf00e200807a
[ "MIT" ]
null
null
null
setup.py
hoogamaphone/world-manager
8d4515b93d303cf91626f69257e7cf00e200807a
[ "MIT" ]
null
null
null
setup.py
hoogamaphone/world-manager
8d4515b93d303cf91626f69257e7cf00e200807a
[ "MIT" ]
null
null
null
from setuptools import setup, find_packages with open('requirements.txt') as f: requirements = f.read() setup( name='World-Manager-CLI', version='0.1.0', packages=find_packages(), include_package_data=True, install_requires=requirements, entry_points=""" [console_scripts] w...
22.1875
43
0.664789
43
355
5.325581
0.697674
0.104803
0.131004
0
0
0
0
0
0
0
0
0.010601
0.202817
355
16
44
22.1875
0.798587
0
0
0
0
0
0.289326
0.070225
0
0
0
0
0
1
0
false
0
0.071429
0
0.071429
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b65f74632dad7cb7cddacb4494d3a9d432840a4d
1,886
py
Python
main.py
Jelloeater/8266_web-relay
ac61a21bdfb1d6ff88be095f95059061f273c7b8
[ "MIT" ]
null
null
null
main.py
Jelloeater/8266_web-relay
ac61a21bdfb1d6ff88be095f95059061f273c7b8
[ "MIT" ]
null
null
null
main.py
Jelloeater/8266_web-relay
ac61a21bdfb1d6ff88be095f95059061f273c7b8
[ "MIT" ]
null
null
null
import socket import ure as re import time import machine def run(): # Standard socket stuff: host = '' port = 80 sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) sock.bind((host, port)) sock.listen(1) # don't queue up any requests while True: csock, caddr = sock.accept() ...
25.486486
108
0.544539
255
1,886
3.972549
0.364706
0.053307
0.035538
0.075025
0.347483
0.306022
0.256663
0.256663
0.16387
0.082922
0
0.026966
0.292153
1,886
73
109
25.835616
0.731835
0.039767
0
0.190476
0
0
0.39845
0.061981
0
0
0
0
0
1
0.047619
false
0
0.079365
0
0.142857
0.095238
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b66034e39bac2f1599e4b00ddf1f3159436715fb
11,943
py
Python
tools/pnfs_db_restore.py
moibenko/enstore
6f2ff5b67ff73872a9e68f2a68b0bdaa70cef9b9
[ "Intel", "Unlicense" ]
4
2021-10-17T11:17:59.000Z
2022-02-28T16:58:40.000Z
tools/pnfs_db_restore.py
moibenko/enstore
6f2ff5b67ff73872a9e68f2a68b0bdaa70cef9b9
[ "Intel", "Unlicense" ]
17
2021-10-05T21:44:06.000Z
2022-03-31T16:58:40.000Z
tools/pnfs_db_restore.py
moibenko/enstore
6f2ff5b67ff73872a9e68f2a68b0bdaa70cef9b9
[ "Intel", "Unlicense" ]
8
2021-09-02T18:55:49.000Z
2022-03-09T21:05:28.000Z
#!/usr/bin/env python ############################################################################### # # This script is to be used to restore and start pnfs from live backup # # # $Id$ ############################################################################### import getopt import os import pwd import re import s...
33.928977
135
0.554635
1,463
11,943
4.416951
0.233766
0.01857
0.012999
0.010059
0.127669
0.113123
0.091767
0.079851
0.076447
0.051377
0
0.007341
0.292808
11,943
351
136
34.025641
0.757755
0
0
0.203571
0
0.010714
0.202183
0.026123
0
0
0
0
0
0
null
null
0.003571
0.05
null
null
0.078571
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
1
b6621346c805c1e140f63c6f56323e6a373a58b0
1,744
py
Python
src_para/params.py
david-yoon/detecting-incongruity
2e121fdba0da3a6a0c63df0c46a101a789fe7565
[ "MIT" ]
36
2018-11-25T21:43:10.000Z
2022-03-13T10:47:50.000Z
src_para/params.py
david-yoon/detecting-incongruity
2e121fdba0da3a6a0c63df0c46a101a789fe7565
[ "MIT" ]
1
2019-06-16T07:45:47.000Z
2019-10-14T06:00:29.000Z
src_para/params.py
david-yoon/detecting-incongruity
2e121fdba0da3a6a0c63df0c46a101a789fe7565
[ "MIT" ]
5
2018-12-09T06:40:19.000Z
2019-10-17T22:07:58.000Z
class Params: ################################ # dataset ################################ DATA_DIR = '../data/' DATA_TRAIN_TITLE = 'train/train_title.npy' DATA_TRAIN_BODY = 'train/train_body.npy' DATA_TRAIN_LABEL = 'train/train_label.npy' DATA_DEV_TITLE = 'dev/dev_title.n...
26.830769
60
0.469037
193
1,744
3.818653
0.373057
0.066486
0.048847
0
0
0
0
0
0
0
0
0.02385
0.326835
1,744
64
61
27.25
0.603918
0.053899
0
0
0
0
0.15736
0.065265
0
0
0
0
0
1
0
false
0
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
b66267420e208edbe695e88c08255da8fc98c717
1,011
py
Python
baselayer/services/webpack.py
yaowenxi/cesium
b87c8bcafc8a7707877f8b9e9b111a2a99b5aeee
[ "BSD-3-Clause" ]
null
null
null
baselayer/services/webpack.py
yaowenxi/cesium
b87c8bcafc8a7707877f8b9e9b111a2a99b5aeee
[ "BSD-3-Clause" ]
6
2020-07-17T08:50:22.000Z
2022-02-26T11:56:52.000Z
baselayer/services/webpack.py
yaowenxi/cesium
b87c8bcafc8a7707877f8b9e9b111a2a99b5aeee
[ "BSD-3-Clause" ]
null
null
null
# encoding: utf-8 from baselayer.app.env import load_env import subprocess import sys import time import os from pathlib import Path env, cfg = load_env() bundle = Path(os.path.dirname(__file__))/'../../static/build/bundle.js' def run(cmd): print("开始了") p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stde...
25.923077
78
0.672601
144
1,011
4.659722
0.534722
0.083458
0.084948
0.044709
0.154993
0.074516
0
0
0
0
0
0.004813
0.178042
1,011
38
79
26.605263
0.802647
0.088032
0
0.071429
0
0
0.314815
0.089325
0
0
0
0
0
1
0.035714
false
0
0.214286
0
0.285714
0.178571
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b662cf2d0ef7d2f3d75fe691f2648a210b3ef79c
2,911
py
Python
tests/test_interfaces/test_to_binary.py
softwareunderground/subsurface
ad5a6d2d24e710ce7a78ec99b2075ddbb9dfeb7d
[ "Apache-2.0" ]
55
2019-05-09T12:26:28.000Z
2021-11-05T07:35:15.000Z
tests/test_interfaces/test_to_binary.py
softwareunderground/subsurface
ad5a6d2d24e710ce7a78ec99b2075ddbb9dfeb7d
[ "Apache-2.0" ]
33
2019-05-09T16:28:19.000Z
2022-03-30T13:40:21.000Z
tests/test_interfaces/test_to_binary.py
softwareunderground/subsurface
ad5a6d2d24e710ce7a78ec99b2075ddbb9dfeb7d
[ "Apache-2.0" ]
14
2019-05-09T12:26:33.000Z
2021-09-01T11:31:27.000Z
import imageio import pytest from subsurface.reader.read_netcdf import read_unstruct import json try: import geopandas as gpd GEOPANDAS_IMPORTED = True except ImportError: GEOPANDAS_IMPORTED = False import pytest import numpy as np from subsurface import UnstructuredData, TriSurf, StructuredData from subs...
30.010309
98
0.671591
401
2,911
4.643392
0.254364
0.058002
0.064447
0.067669
0.336735
0.2116
0.093448
0.061224
0.061224
0.061224
0
0.010748
0.200962
2,911
96
99
30.322917
0.789768
0
0
0.166667
0
0
0.109584
0.017863
0
0
0
0
0
1
0.055556
false
0
0.222222
0
0.319444
0.013889
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b664480b84ef977aa0b729cdb4d540f18537ee31
185
py
Python
Textual/ver.py
precla/plugins
3bcfe83295264bc73e6dfe70ae15d9b3d6650f6e
[ "MIT" ]
93
2015-01-05T23:19:59.000Z
2022-02-16T00:56:50.000Z
Textual/ver.py
FichteForks/tingping-plugins
85e07ccb3b66b78414dd5aa6f14f3a17bd384a2b
[ "MIT" ]
7
2015-01-21T23:50:08.000Z
2018-07-26T21:29:38.000Z
Textual/ver.py
FichteForks/tingping-plugins
85e07ccb3b66b78414dd5aa6f14f3a17bd384a2b
[ "MIT" ]
53
2015-01-19T12:16:58.000Z
2021-08-30T01:18:29.000Z
#!/usr/bin/env python import sys if len(sys.argv) < 3 or not sys.argv[2]: print('/echo nick required.') sys.exit() nick = sys.argv[2] print('/ctcp {} VERSION'.format(nick))
15.416667
40
0.627027
31
185
3.741935
0.677419
0.181034
0.137931
0.224138
0
0
0
0
0
0
0
0.019737
0.178378
185
11
41
16.818182
0.743421
0.108108
0
0
0
0
0.219512
0
0
0
0
0
0
1
0
false
0
0.166667
0
0.166667
0.333333
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
b666f9a2122d3e6d0251d1209907ba2b321af8c4
7,243
py
Python
ticketsplease/ticketsplease/modules/adfs/envelope/sct.py
secureworks/whiskeysamlandfriends
9334d0959aef64c06a716a5ed2e4f5582ab44a26
[ "Apache-2.0" ]
30
2021-11-10T16:28:34.000Z
2022-03-03T19:46:21.000Z
ticketsplease/ticketsplease/modules/adfs/envelope/sct.py
secureworks/whiskeysamlandfriends
9334d0959aef64c06a716a5ed2e4f5582ab44a26
[ "Apache-2.0" ]
null
null
null
ticketsplease/ticketsplease/modules/adfs/envelope/sct.py
secureworks/whiskeysamlandfriends
9334d0959aef64c06a716a5ed2e4f5582ab44a26
[ "Apache-2.0" ]
4
2021-11-11T19:29:11.000Z
2021-11-15T15:56:57.000Z
# Copyright 2021 Secureworks # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
35.856436
477
0.620875
818
7,243
5.438875
0.304401
0.046977
0.02922
0.034615
0.205664
0.194426
0.152619
0.12677
0.080917
0.080917
0
0.030217
0.268949
7,243
201
478
36.034826
0.810009
0.312992
0
0.190909
0
0.009091
0.290131
0.097628
0
0
0
0
0
1
0.027273
false
0
0.063636
0
0.127273
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
b6670f5cb5c8d632fc48bea8d155de2c30d4d414
1,014
py
Python
tests/test_geometry.py
Zepmanbc/cps_workflow
0926a01c3ef1f163b43edcdae84cc77a1842f3b0
[ "MIT" ]
35
2019-07-03T16:45:47.000Z
2022-03-31T16:08:35.000Z
tests/test_geometry.py
Zepmanbc/cps_workflow
0926a01c3ef1f163b43edcdae84cc77a1842f3b0
[ "MIT" ]
42
2019-07-03T17:12:34.000Z
2022-03-17T12:46:40.000Z
tests/test_geometry.py
Zepmanbc/cps_workflow
0926a01c3ef1f163b43edcdae84cc77a1842f3b0
[ "MIT" ]
null
null
null
"""Geometry testing.""" import creopyson from .fixtures import mk_creoson_post_dict, mk_creoson_post_None, mk_getactivefile def test_geometry_bound_box(mk_creoson_post_dict, mk_getactivefile): """Test bound_box.""" c = creopyson.Client() result = c.geometry_bound_box(file_="file") assert isinstance(re...
32.709677
82
0.719921
132
1,014
5.181818
0.212121
0.061404
0.131579
0.099415
0.630117
0.489766
0.444444
0.266082
0.152047
0.152047
0
0.00927
0.148915
1,014
30
83
33.8
0.783314
0.067061
0
0.45
0
0
0.021622
0
0
0
0
0
0.3
1
0.15
false
0
0.1
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
b667207fcb57bd4ec887cd84ed8d9aa150c17bab
356
py
Python
answers/Ananya Chandra/day4/question1.py
arc03/30-DaysOfCode-March-2021
6d6e11bf70280a578113f163352fa4fa8408baf6
[ "MIT" ]
22
2021-03-16T14:07:47.000Z
2021-08-13T08:52:50.000Z
answers/Ananya Chandra/day4/question1.py
arc03/30-DaysOfCode-March-2021
6d6e11bf70280a578113f163352fa4fa8408baf6
[ "MIT" ]
174
2021-03-16T21:16:40.000Z
2021-06-12T05:19:51.000Z
answers/Ananya Chandra/day4/question1.py
arc03/30-DaysOfCode-March-2021
6d6e11bf70280a578113f163352fa4fa8408baf6
[ "MIT" ]
135
2021-03-16T16:47:12.000Z
2021-06-27T14:22:38.000Z
#print prime factorisation of a number n= int(input("enter the number \n")) def prime(t, j): if(j<t): if(t%j!=0): return prime(t, j=j + 1) else: return 0 else: return 1 i=2 while(n>1): if (prime(i, 2) == 1): while n % i == 0: print(i, ","...
17.8
38
0.429775
58
356
2.637931
0.396552
0.039216
0.091503
0
0
0
0
0
0
0
0
0.046729
0.398876
356
19
39
18.736842
0.668224
0.103933
0
0.125
0
0
0.062893
0
0
0
0
0
0
1
0.0625
false
0
0
0
0.25
0.0625
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b66835431fc34e47226d3889e3140fdd215f8887
1,865
py
Python
awx/main/tests/functional/api/test_project.py
gitEdouble/awx
5885654405ccaf465f08df4db998a6dafebd9b4d
[ "Apache-2.0" ]
2
2018-11-12T18:52:24.000Z
2020-05-22T18:41:21.000Z
awx/main/tests/functional/api/test_project.py
gitEdouble/awx
5885654405ccaf465f08df4db998a6dafebd9b4d
[ "Apache-2.0" ]
4
2022-02-15T01:33:35.000Z
2022-03-02T12:47:41.000Z
awx/main/tests/functional/api/test_project.py
gitEdouble/awx
5885654405ccaf465f08df4db998a6dafebd9b4d
[ "Apache-2.0" ]
9
2019-05-11T00:03:30.000Z
2021-07-07T16:09:17.000Z
import os from backports.tempfile import TemporaryDirectory from django.conf import settings import pytest from awx.api.versioning import reverse @pytest.mark.django_db class TestInsightsCredential: def test_insights_credential(self, patch, insights_project, admin_user, insights_credential): patch(insig...
39.680851
97
0.716354
241
1,865
5.323651
0.282158
0.112237
0.049883
0.056118
0.590023
0.441933
0.357755
0.307872
0.144193
0.110678
0
0.009536
0.156568
1,865
46
98
40.543478
0.806103
0
0
0.257143
0
0
0.131903
0
0
0
0
0
0.085714
1
0.142857
false
0
0.142857
0
0.314286
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b6688604687d78d27bb9bf2999491a71b429148b
761
py
Python
download codigo fontes/PythonExercicios/ex058.py
tidesjunior2018/Exercicios-da-linguagem-pyhton
82bb9e7a121ce9fcb12591615120dd9f3a493555
[ "MIT" ]
null
null
null
download codigo fontes/PythonExercicios/ex058.py
tidesjunior2018/Exercicios-da-linguagem-pyhton
82bb9e7a121ce9fcb12591615120dd9f3a493555
[ "MIT" ]
null
null
null
download codigo fontes/PythonExercicios/ex058.py
tidesjunior2018/Exercicios-da-linguagem-pyhton
82bb9e7a121ce9fcb12591615120dd9f3a493555
[ "MIT" ]
1
2021-03-13T18:26:50.000Z
2021-03-13T18:26:50.000Z
''' 58-Melhore o jogo do desafio 028 onde o computador vai "pensar" em um numero entre 0 e 10.Só que agora vai tentar advinhar até acertar mostrando no final quantos palpites foram necessários até vencer. ''' import random palpite=0 print('\033[33m{:=^40}'.format('JOGO DA ADVINHAÇÂO 2.0')) print('\033[m') numerosortead...
29.269231
76
0.68594
110
761
4.745455
0.627273
0.114943
0.02682
0.034483
0
0
0
0
0
0
0
0.046129
0.202365
761
25
77
30.44
0.813839
0.262812
0
0
0
0
0.280289
0
0
0
0
0
0
1
0
false
0
0.055556
0
0.055556
0.333333
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b66b0abcae2e9184f6893e0b8a75687e592b112c
1,285
py
Python
build/lib/bandwidth/voice/models/disconnect_cause_enum.py
Spaced-Out/python-bandwidth-sdk
5332f29d1c093003444384f63a9d4a00843c954f
[ "MIT" ]
null
null
null
build/lib/bandwidth/voice/models/disconnect_cause_enum.py
Spaced-Out/python-bandwidth-sdk
5332f29d1c093003444384f63a9d4a00843c954f
[ "MIT" ]
null
null
null
build/lib/bandwidth/voice/models/disconnect_cause_enum.py
Spaced-Out/python-bandwidth-sdk
5332f29d1c093003444384f63a9d4a00843c954f
[ "MIT" ]
1
2020-12-01T15:25:51.000Z
2020-12-01T15:25:51.000Z
# -*- coding: utf-8 -*- """ bandwidth This file was automatically generated by APIMATIC v2.0 ( https://apimatic.io ). """ class DisconnectCauseEnum(object): """Implementation of the 'DisconnectCause' enum. TODO: type enum description here. Attributes: BUSY: TODO: type descript...
23.363636
80
0.627237
120
1,285
6.716667
0.408333
0.129032
0.282878
0.342432
0
0
0
0
0
0
0
0.003254
0.28249
1,285
54
81
23.796296
0.870933
0.577432
0
0
1
0
0.292271
0.05314
0
0
0
0.240741
0
1
0
false
0
0
0
1
0
0
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
1
0
0
0
0
0
0
0
1
0
0
5
b66b180fc94b3f3077d165f9eba30fc51374504c
20,727
py
Python
main.py
HeloiseKatharine/Analise-de-dados
e05e337c0ef03ef68815aa684bdf4466226e02cb
[ "MIT" ]
null
null
null
main.py
HeloiseKatharine/Analise-de-dados
e05e337c0ef03ef68815aa684bdf4466226e02cb
[ "MIT" ]
null
null
null
main.py
HeloiseKatharine/Analise-de-dados
e05e337c0ef03ef68815aa684bdf4466226e02cb
[ "MIT" ]
null
null
null
import pandas as pd import matplotlib.pyplot as plt from IPython.display import display from pymongo import MongoClient def get_database(): from pymongo import MongoClient CONNECTION_STRING = "#" from pymongo import MongoClient client = MongoClient(CONNECTION_STRING) #conexão com o cliente ret...
58.716714
331
0.726444
2,819
20,727
5.184108
0.181979
0.022923
0.02395
0.037635
0.548241
0.523402
0.495415
0.455522
0.415287
0.372041
0
0.023087
0.157813
20,727
352
332
58.883523
0.814104
0.200174
0
0.230047
0
0.046948
0.493564
0.124459
0
0
0
0.002841
0
1
0.065728
false
0
0.028169
0
0.098592
0.093897
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b66d2d5519a0ef3b8c25d34eaafb9a51b73e5edc
2,235
py
Python
utils/preprocess_word_embedding.py
JiaqiYao/dynamic_multi_label
dae8b34349f6da80e962fefd5349a29a0f5630f1
[ "MIT" ]
2
2020-11-29T07:09:29.000Z
2020-12-22T07:40:24.000Z
utils/preprocess_word_embedding.py
JiaqiYao/dynamic_multi_label
dae8b34349f6da80e962fefd5349a29a0f5630f1
[ "MIT" ]
null
null
null
utils/preprocess_word_embedding.py
JiaqiYao/dynamic_multi_label
dae8b34349f6da80e962fefd5349a29a0f5630f1
[ "MIT" ]
null
null
null
import os import json from tqdm import tqdm def build_vocabulary(data_dir): with open(os.path.join(data_dir, 'train_texts.txt'), 'rt') as fin: train_texts = json.load(fin) print("train text cuts load done") with open(os.path.join(data_dir, "Telegram", 'train_key_words.dat'), 'rb') as fin:...
39.910714
103
0.632215
305
2,235
4.42623
0.259016
0.036296
0.044444
0.062222
0.257037
0.203704
0.138519
0.048889
0
0
0
0.013095
0.248322
2,235
55
104
40.636364
0.790476
0
0
0.041667
0
0
0.19229
0.055989
0
0
0
0
0
1
0.041667
false
0
0.0625
0
0.104167
0.1875
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b66d60f785036a36c6d1ed53d8206d68665248c2
2,797
py
Python
stories.py
grantat/news-similarity-core
278399bb215954510fa265ba4bc5b28f7f02e1ee
[ "MIT" ]
null
null
null
stories.py
grantat/news-similarity-core
278399bb215954510fa265ba4bc5b28f7f02e1ee
[ "MIT" ]
null
null
null
stories.py
grantat/news-similarity-core
278399bb215954510fa265ba4bc5b28f7f02e1ee
[ "MIT" ]
null
null
null
import requests import json import hashlib import os import argparse def load_links(filename): with open(filename) as f: data = json.load(f) return data def get_story(session, uri): """ Get mementos for html using Internet Archive """ try: print(uri) r = session.get(uri,...
34.530864
79
0.505899
302
2,797
4.539735
0.377483
0.023341
0.032093
0.032823
0.062728
0.062728
0.062728
0.062728
0.062728
0.062728
0
0.013411
0.386843
2,797
80
80
34.9625
0.786006
0.076153
0
0.032258
0
0
0.144134
0.035742
0
0
0
0
0
1
0.032258
false
0
0.080645
0
0.16129
0.145161
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b66d7aa9b11fd773a698acfd6bb25cc487a20615
3,564
py
Python
python/downsample_images_in_rosbag.py
JzHuai0108/vio_common
2d9c5fce761034cb4e55b3395d259ce392da8ee6
[ "BSD-3-Clause" ]
16
2017-06-02T07:22:31.000Z
2022-03-23T02:39:39.000Z
python/downsample_images_in_rosbag.py
JzHuai0108/vio_common
2d9c5fce761034cb4e55b3395d259ce392da8ee6
[ "BSD-3-Clause" ]
2
2020-08-10T04:01:35.000Z
2021-01-18T08:21:17.000Z
python/downsample_images_in_rosbag.py
JzHuai0108/vio_common
2d9c5fce761034cb4e55b3395d259ce392da8ee6
[ "BSD-3-Clause" ]
19
2017-08-03T02:23:11.000Z
2021-09-22T02:17:46.000Z
#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import print_function import os import argparse import rosbag import rospy from cv_bridge import CvBridge import cv2 import play_images_in_rosbag def decide_output_encoding(cv_img): """ For 16UC1 input image, we need to use mono16 as output enc...
33.942857
84
0.623457
471
3,564
4.494692
0.314225
0.036372
0.033066
0.025508
0.16958
0.144544
0.144544
0.144544
0.085026
0.085026
0
0.021714
0.263468
3,564
104
85
34.269231
0.784762
0.076038
0
0.103896
0
0
0.192945
0.019939
0
0
0.001227
0
0
1
0.025974
false
0.025974
0.103896
0
0.142857
0.116883
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b66e79df977dcaa16a976367fddaca5f9d45f186
1,770
py
Python
gen_dataset.py
mantydze/knapsack-problem-py
15caf65c8abde693f04eae0291933fa426aad1d9
[ "MIT" ]
null
null
null
gen_dataset.py
mantydze/knapsack-problem-py
15caf65c8abde693f04eae0291933fa426aad1d9
[ "MIT" ]
null
null
null
gen_dataset.py
mantydze/knapsack-problem-py
15caf65c8abde693f04eae0291933fa426aad1d9
[ "MIT" ]
null
null
null
import json import random import sys import time sys.setrecursionlimit(2500) memo = {} def ks(capacity_left, n): """ capacity_left(int): remaining storage capacity of a bag n(int): current item position """ if n == -1 or capacity_left == 0: # No more items to add return 0 ...
21.851852
82
0.564407
227
1,770
4.334802
0.38326
0.121951
0.066057
0.045732
0.079268
0
0
0
0
0
0
0.027823
0.309605
1,770
81
83
21.851852
0.777414
0.210169
0
0.040816
0
0
0.051357
0
0
0
0
0
0
1
0.020408
false
0
0.081633
0
0.183673
0.102041
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b66f2f7d9d9618cebbca9ca3940382b757594d51
15,629
py
Python
Juris_Cam.py
eugeniu1994/Stereo-Camera-LiDAR-calibration
54eec1b911f78ca6b66c35803c47d016b7069499
[ "Unlicense" ]
6
2021-06-02T03:42:11.000Z
2022-02-17T12:30:00.000Z
Juris_Cam.py
eugeniu1994/Stereo-Camera-LiDAR-calibration
54eec1b911f78ca6b66c35803c47d016b7069499
[ "Unlicense" ]
1
2021-06-09T07:16:09.000Z
2021-06-09T07:16:09.000Z
Juris_Cam.py
eugeniu1994/Stereo-Camera-LiDAR-calibration
54eec1b911f78ca6b66c35803c47d016b7069499
[ "Unlicense" ]
1
2021-08-13T05:20:19.000Z
2021-08-13T05:20:19.000Z
''' CONFIDENTIAL Copyright (c) 2021 Eugeniu Vezeteu, Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute (FGI), National Land Survey of Finland (NLS) PERMISSION IS HEREBY LIMITED TO FGI'S INTERNAL USE ONLY. THE CODE MAY BE RE-LICENSED, SHARED, OR TAKEN INTO...
44.274788
134
0.550259
1,950
15,629
4.236923
0.161538
0.012709
0.018155
0.017429
0.298959
0.230816
0.183733
0.144275
0.10046
0.088356
0
0.032379
0.318255
15,629
352
135
44.400568
0.743031
0.173524
0
0.15311
0
0
0.072117
0.004552
0
0
0
0
0
1
0.038278
false
0
0.023923
0
0.086124
0.129187
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b670fa0f0102d71543d8ccaedc1d30fd90503e7f
477
py
Python
payroll/employee_management/migrations/0015_auto_20200302_1717.py
the-krafty-koder/pay-3
20426ef00b78c2a65fb4031a7692866bd22a991a
[ "MIT" ]
1
2021-03-26T19:39:30.000Z
2021-03-26T19:39:30.000Z
payroll/employee_management/migrations/0015_auto_20200302_1717.py
the-krafty-koder/pay-3
20426ef00b78c2a65fb4031a7692866bd22a991a
[ "MIT" ]
12
2020-10-27T22:47:01.000Z
2022-03-12T00:42:49.000Z
payroll/employee_management/migrations/0015_auto_20200302_1717.py
the-krafty-koder/pay-3
20426ef00b78c2a65fb4031a7692866bd22a991a
[ "MIT" ]
null
null
null
# Generated by Django 2.2.5 on 2020-03-02 17:17 from django.db import migrations, models import employee_management.models class Migration(migrations.Migration): dependencies = [ ('employee_management', '0014_auto_20200302_1716'), ] operations = [ migrations.AlterField( mode...
23.85
93
0.66457
52
477
5.903846
0.692308
0.175896
0.156352
0
0
0
0
0
0
0
0
0.085165
0.236897
477
19
94
25.105263
0.758242
0.09434
0
0
1
0
0.130233
0.053488
0
0
0
0
0
1
0
false
0
0.153846
0
0.384615
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
b67168bde4164840416443bfce8934cfcf44c9ab
364
py
Python
scripts/say-hello-world.py
OleBo/MathSo
1f9fa0492d467c0bb0479768c503eee7723ae777
[ "MIT" ]
1
2022-01-08T23:52:57.000Z
2022-01-08T23:52:57.000Z
scripts/say-hello-world.py
OleBo/MathSo
1f9fa0492d467c0bb0479768c503eee7723ae777
[ "MIT" ]
null
null
null
scripts/say-hello-world.py
OleBo/MathSo
1f9fa0492d467c0bb0479768c503eee7723ae777
[ "MIT" ]
1
2022-01-02T21:14:30.000Z
2022-01-02T21:14:30.000Z
# When your package is installed in editable mode, you can call # instances of that package from any directory. For example, this # script may be run by calling # # python scripts/say-hello-world.py # # and it will call methods inside our python_ml_template project. from math_so.utils import say_hello_world if __...
28
65
0.760989
58
364
4.517241
0.827586
0.091603
0.148855
0
0
0
0
0
0
0
0
0
0.175824
364
12
66
30.333333
0.873333
0.703297
0
0
0
0
0.08
0
0
0
0
0
0
1
0
true
0
0.333333
0
0.333333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
2
b6726617c09fe5e7abbd64cdec30ed1653450f24
4,851
py
Python
process_design.py
Multiscale-Genomics/C-HiC
65e189acc79f5420a276a2f7fd740cb2a3ae8e27
[ "Apache-2.0" ]
null
null
null
process_design.py
Multiscale-Genomics/C-HiC
65e189acc79f5420a276a2f7fd740cb2a3ae8e27
[ "Apache-2.0" ]
1
2018-09-06T12:27:49.000Z
2018-09-06T12:27:49.000Z
process_design.py
Multiscale-Genomics/CHi-C
65e189acc79f5420a276a2f7fd740cb2a3ae8e27
[ "Apache-2.0" ]
1
2021-01-28T23:44:37.000Z
2021-01-28T23:44:37.000Z
#!/usr/bin/env python """ .. See the NOTICE file distributed with this work for additional information regarding copyright ownership. 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 ...
29.760736
76
0.59328
525
4,851
5.36
0.384762
0.027363
0.012793
0.029851
0.084932
0.024876
0.024876
0
0
0
0
0.002351
0.298495
4,851
162
77
29.944444
0.824567
0.37518
0
0.046154
0
0
0.161027
0
0
0
0
0
0
1
0.046154
false
0
0.107692
0
0.2
0.076923
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
b6743b740ca63e21a2b17bf0b3f68e580bd80f5d
353
py
Python
samples/sample.py
eduardo-vitral/BALRoGO
d4608aa861899fdd447613968fbd53019037bc46
[ "MIT" ]
null
null
null
samples/sample.py
eduardo-vitral/BALRoGO
d4608aa861899fdd447613968fbd53019037bc46
[ "MIT" ]
null
null
null
samples/sample.py
eduardo-vitral/BALRoGO
d4608aa861899fdd447613968fbd53019037bc46
[ "MIT" ]
null
null
null
from balrogo import gaia # Read HDU print("Reading input...") path = r"./samples/SCULPTOR.fits" # Run sample code print("Running code...") final_data, results_sd, var_sd, results_pm, var_pm = gaia.extract_object(path) print("results_pm:", results_pm) print("var_pm:", var_pm) print("results_sd:", result...
22.0625
79
0.696884
54
353
4.296296
0.481481
0.116379
0.060345
0
0
0
0
0
0
0
0
0
0.147309
353
15
80
23.533333
0.770764
0.067989
0
0
0
0
0.289389
0.073955
0
0
0
0
0
1
0
false
0
0.111111
0
0.111111
0.666667
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
1
b6746a5b4942abdb9bcb80fa96fed7162930c929
5,136
py
Python
em2/utils/web_push.py
samuelcolvin/em2
a587eaa80c09a2b44d9c221d09a563aad5b05d78
[ "MIT" ]
5
2019-03-20T19:07:45.000Z
2020-10-03T01:16:05.000Z
em2/utils/web_push.py
samuelcolvin/em2
a587eaa80c09a2b44d9c221d09a563aad5b05d78
[ "MIT" ]
51
2019-03-12T16:19:46.000Z
2021-03-09T00:52:24.000Z
em2/utils/web_push.py
samuelcolvin/em2
a587eaa80c09a2b44d9c221d09a563aad5b05d78
[ "MIT" ]
1
2019-05-31T14:41:18.000Z
2019-05-31T14:41:18.000Z
import asyncio import base64 import hashlib import logging import re import time from typing import Optional import http_ece import ujson from aiohttp import ClientSession from arq import ArqRedis from atoolbox import JsonErrors, RequestError from cryptography.hazmat.backends import default_backend from cryptography.h...
33.350649
112
0.672702
681
5,136
4.9163
0.325991
0.030466
0.013142
0.016726
0.135603
0.096774
0.077061
0.061529
0.061529
0.037037
0
0.014353
0.213201
5,136
153
113
33.568627
0.814155
0.067757
0
0.035398
0
0
0.059455
0.005151
0
0
0
0
0
1
0.035398
false
0
0.168142
0.026549
0.318584
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