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
12aa7974eda86efbe06ee210f79ae371f0ae6d2b
1,900
py
Python
ecommerce/fornecedor/models.py
lfbtessarolli/tcc_puc
3cbdebc5064599866a09e4518614908266dd2287
[ "MIT" ]
null
null
null
ecommerce/fornecedor/models.py
lfbtessarolli/tcc_puc
3cbdebc5064599866a09e4518614908266dd2287
[ "MIT" ]
3
2020-02-11T23:45:17.000Z
2021-06-10T21:10:18.000Z
ecommerce/fornecedor/models.py
lfbtessarolli/tcc_puc
3cbdebc5064599866a09e4518614908266dd2287
[ "MIT" ]
null
null
null
from django.db import models from django.contrib.auth.models import User class Fornecedor(models.Model): nome = models.CharField(max_length=200) categoria = models.TextField(default="Categoria") fornecedor = models.ForeignKey(User, on_delete=models.CASCADE, default=1) preco = models.DecimalField(max_digits=10, dec...
43.181818
74
0.756316
225
1,900
6.28
0.248889
0.063694
0.093418
0.097665
0.887473
0.887473
0.887473
0.887473
0.887473
0.887473
0
0.012651
0.126316
1,900
43
75
44.186047
0.838554
0.170526
0
0.75
0
0
0.117458
0
0
0
0
0
0
1
0
false
0
0.0625
0
0.90625
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
1
0
0
8
12b13986eec509017c071293c5c4f1fbd4507fd4
137
py
Python
notescribe/views/about.py
SatvikR/notescribe
8ac46297407065a920595768410be18da14d6256
[ "Apache-2.0" ]
null
null
null
notescribe/views/about.py
SatvikR/notescribe
8ac46297407065a920595768410be18da14d6256
[ "Apache-2.0" ]
null
null
null
notescribe/views/about.py
SatvikR/notescribe
8ac46297407065a920595768410be18da14d6256
[ "Apache-2.0" ]
null
null
null
from notescribe import app from flask import render_template @app.route('/about') def about(): return render_template('about.html')
19.571429
40
0.759124
19
137
5.368421
0.631579
0.27451
0
0
0
0
0
0
0
0
0
0
0.131387
137
6
41
22.833333
0.857143
0
0
0
0
0
0.116788
0
0
0
0
0
0
1
0.2
true
0
0.4
0.2
0.8
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
1
1
0
0
7
12c203293c47eb9de83fcab654b9330cdfdfe1b9
1,953
py
Python
firstApp/migrations/0007_alter_registration_address_alter_registration_city_and_more.py
sayan706/SchoolWebsite
8a3faea4582e3c15f0d33347e6c0793a78481c52
[ "MIT" ]
null
null
null
firstApp/migrations/0007_alter_registration_address_alter_registration_city_and_more.py
sayan706/SchoolWebsite
8a3faea4582e3c15f0d33347e6c0793a78481c52
[ "MIT" ]
null
null
null
firstApp/migrations/0007_alter_registration_address_alter_registration_city_and_more.py
sayan706/SchoolWebsite
8a3faea4582e3c15f0d33347e6c0793a78481c52
[ "MIT" ]
null
null
null
# Generated by Django 4.0.1 on 2022-01-10 09:31 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('firstApp', '0006_alter_registration_degree'), ] operations = [ migrations.AlterField( model_name='registration', nam...
30.515625
62
0.559652
179
1,953
5.977654
0.26257
0.186916
0.233645
0.271028
0.78972
0.78972
0.747664
0.747664
0.711215
0.711215
0
0.033359
0.324629
1,953
63
63
31
0.777862
0.023041
0
0.701754
1
0
0.118048
0.01574
0
0
0
0
0
1
0
false
0.017544
0.017544
0
0.070175
0
0
0
0
null
0
1
1
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
9
12e918a3568636e0e38899f10ca31b893ac17de9
131
py
Python
squash/admin.py
craigotis/Squash
f2b487bf729808c33594772414732d9679e49066
[ "MIT" ]
1
2017-11-20T02:38:25.000Z
2017-11-20T02:38:25.000Z
squash/admin.py
craigotis/Squash
f2b487bf729808c33594772414732d9679e49066
[ "MIT" ]
null
null
null
squash/admin.py
craigotis/Squash
f2b487bf729808c33594772414732d9679e49066
[ "MIT" ]
null
null
null
from squash.models import Project, Version, Issue from django.contrib import admin admin.site.register({Project, Version, Issue})
26.2
49
0.801527
18
131
5.833333
0.666667
0.266667
0.361905
0
0
0
0
0
0
0
0
0
0.10687
131
4
50
32.75
0.897436
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.666667
0
0.666667
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
12f93072bcda5f3c50fd5472639fc392e36126ac
4,611
py
Python
simpleml/linear_regression.py
lautarodc/INVAP_disw_sphinx
8b2f9266ac79b88d0cad2a4c6f2c0f07f82e6be6
[ "MIT" ]
null
null
null
simpleml/linear_regression.py
lautarodc/INVAP_disw_sphinx
8b2f9266ac79b88d0cad2a4c6f2c0f07f82e6be6
[ "MIT" ]
null
null
null
simpleml/linear_regression.py
lautarodc/INVAP_disw_sphinx
8b2f9266ac79b88d0cad2a4c6f2c0f07f82e6be6
[ "MIT" ]
null
null
null
import numpy as np from abc import ABC class BaseModel(ABC): """ Abstract Model Class used as interface of all regression models. :param model: Stored model data (NumPy array in most cases) :type model: np.ndarray :param data: input data for training or testing :type data: np.ndarray :par...
28.81875
116
0.602472
606
4,611
4.567657
0.148515
0.120303
0.084538
0.086705
0.813945
0.805997
0.793714
0.790462
0.790462
0.776734
0
0.000311
0.30167
4,611
159
117
29
0.859317
0.556712
0
0.40625
0
0
0
0
0
0
0
0
0
1
0.28125
false
0.0625
0.0625
0
0.5625
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
1
0
0
1
0
0
9
4201f8b63ff7900b5c466a4178e82885df7a3702
14,686
py
Python
app/src/main/assets/code/matatabot/motion.py
tongjinlv/py_and
a069336c47dd233648fbbadee7275ef188696a44
[ "Apache-2.0" ]
null
null
null
app/src/main/assets/code/matatabot/motion.py
tongjinlv/py_and
a069336c47dd233648fbbadee7275ef188696a44
[ "Apache-2.0" ]
null
null
null
app/src/main/assets/code/matatabot/motion.py
tongjinlv/py_and
a069336c47dd233648fbbadee7275ef188696a44
[ "Apache-2.0" ]
null
null
null
import sys import math import random class motion: def __init__(self,call): self.call=call def forward_step(self,step): data = [0x10,0x01,0x00,0x00] mm=100 data[2]=mm//256 data[3]=mm%256 for i in range(0, step): self.call.blewrite(data) se...
31.447537
60
0.463571
1,717
14,686
3.776937
0.060571
0.046261
0.068157
0.051812
0.903161
0.896839
0.846723
0.837317
0.769776
0.717194
0
0.112288
0.414817
14,686
466
61
31.515021
0.642309
0.001362
0
0.839479
0
0
0.063971
0
0
0
0.025097
0
0
1
0.0282
false
0.002169
0.006508
0
0.067245
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
4230fcf2d15631a570b4bb73eb294a146b99456a
15,630
py
Python
ub/modules/script.py
parv779/javes-3.0
d510717b2756a65b39ff18d9f53d4adc46d8e23f
[ "MIT" ]
15
2020-12-13T17:37:05.000Z
2021-06-23T00:00:49.000Z
ub/modules/script.py
parv779/javes-3.0
d510717b2756a65b39ff18d9f53d4adc46d8e23f
[ "MIT" ]
2
2021-01-11T16:39:31.000Z
2021-01-25T22:35:28.000Z
ub/modules/script.py
parv779/javes-3.0
d510717b2756a65b39ff18d9f53d4adc46d8e23f
[ "MIT" ]
78
2020-12-13T17:52:51.000Z
2022-03-24T03:43:09.000Z
import os import asyncio from getpass import getuser from os import remove from subprocess import PIPE from subprocess import run as runapp import pybase64 from sys import executable from ub import CMD_HELP, BOTLOG, BOTLOG_CHATID from ub.events import javes05, bot, rekcah05 javes = client = bot from ub import CMD_HELP,...
36.863208
154
0.537812
1,842
15,630
4.486428
0.119435
0.022991
0.022628
0.026137
0.875605
0.848742
0.840876
0.833616
0.832527
0.824782
0
0.021699
0.304159
15,630
424
155
36.863208
0.738139
0
0
0.825613
0
0.010899
0.210863
0.003327
0
0
0
0
0
1
0
false
0.002725
0.032698
0
0.092643
0.019074
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
42a260729e8da177ce5721a120eea86c8b2c4149
44
py
Python
3-Patron/python/IMapa.py
TanZng/patrones-combinados
93796d9d5296649bd76b7b2ee7c723156b9a120f
[ "MIT" ]
1
2021-09-13T15:45:48.000Z
2021-09-13T15:45:48.000Z
3-Patron/python/IMapa.py
TanZng/patrones-combinados
93796d9d5296649bd76b7b2ee7c723156b9a120f
[ "MIT" ]
null
null
null
3-Patron/python/IMapa.py
TanZng/patrones-combinados
93796d9d5296649bd76b7b2ee7c723156b9a120f
[ "MIT" ]
1
2021-09-24T03:00:47.000Z
2021-09-24T03:00:47.000Z
import abc class IMapa(abc.ABC): pass
7.333333
21
0.659091
7
44
4.142857
0.714286
0
0
0
0
0
0
0
0
0
0
0
0.25
44
5
22
8.8
0.878788
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0.333333
0.333333
0
0.666667
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
1
1
0
1
0
0
7
c4176361a2daeb440a9fefb7082658372fb13f9c
156
py
Python
locale/pot/api/plotting/_autosummary/pyvista-themes-DefaultTheme-antialiasing-1.py
tkoyama010/pyvista-doc-translations
23bb813387b7f8bfe17e86c2244d5dd2243990db
[ "MIT" ]
4
2020-08-07T08:19:19.000Z
2020-12-04T09:51:11.000Z
locale/pot/api/plotting/_autosummary/pyvista-themes-DefaultTheme-antialiasing-1.py
tkoyama010/pyvista-doc-translations
23bb813387b7f8bfe17e86c2244d5dd2243990db
[ "MIT" ]
19
2020-08-06T00:24:30.000Z
2022-03-30T19:22:24.000Z
locale/pot/api/plotting/_autosummary/pyvista-themes-DarkTheme-antialiasing-1.py
tkoyama010/pyvista-doc-translations
23bb813387b7f8bfe17e86c2244d5dd2243990db
[ "MIT" ]
1
2021-03-09T07:50:40.000Z
2021-03-09T07:50:40.000Z
# Enable anti-aliasing in the global theme. # import pyvista pyvista.global_theme.antialiasing = True pyvista.global_theme.antialiasing # Expected: ## True
19.5
43
0.801282
20
156
6.15
0.6
0.268293
0.292683
0.487805
0
0
0
0
0
0
0
0
0.115385
156
7
44
22.285714
0.891304
0.358974
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.333333
0
0.333333
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
7
670771e5c5148bbf2de506cd92e9483dacd7f3d1
9,630
py
Python
evaluater/evaluater.py
LanXiangExcavator/Beat-aligned_Transformer
c17b014f01761d1b38addd3a846db3c0b5ba5e80
[ "MIT" ]
3
2022-03-03T07:37:01.000Z
2022-03-09T07:47:11.000Z
evaluater/evaluater.py
LanXiangExcavator/Beat-aligned_Transformer
c17b014f01761d1b38addd3a846db3c0b5ba5e80
[ "MIT" ]
null
null
null
evaluater/evaluater.py
LanXiangExcavator/Beat-aligned_Transformer
c17b014f01761d1b38addd3a846db3c0b5ba5e80
[ "MIT" ]
1
2022-02-28T14:55:23.000Z
2022-02-28T14:55:23.000Z
from base import BaseEvaluater from utils import * import torch.nn as nn from data_loader.util import * class Evaluater_beat_aligned_data(BaseEvaluater): """ Evaluater class """ def __init__(self, model, criterion, metric_ftns, config, checkpoint_dir=None, result_dir=None): super().__init__(mo...
40.125
184
0.590862
1,169
9,630
4.646707
0.160821
0.028351
0.035346
0.044183
0.834683
0.830449
0.830449
0.815169
0.815169
0.815169
0
0.035172
0.282555
9,630
240
185
40.125
0.751049
0.111423
0
0.815789
0
0
0.096759
0.008753
0
0
0
0
0
1
0.032895
false
0
0.026316
0
0.078947
0.052632
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
670fefe8c2bcb2f40a0ec657f409764f1c778a8a
182
py
Python
Statistics/Variance.py
rar9898/StatisticalCalculator
34ffd7e9e60facd5cce7af3e43ceb244f741138b
[ "MIT" ]
null
null
null
Statistics/Variance.py
rar9898/StatisticalCalculator
34ffd7e9e60facd5cce7af3e43ceb244f741138b
[ "MIT" ]
null
null
null
Statistics/Variance.py
rar9898/StatisticalCalculator
34ffd7e9e60facd5cce7af3e43ceb244f741138b
[ "MIT" ]
null
null
null
from Calculator.Square import square from Statistics.StandardDeviation import standard_deviation def variance(numbers): # complete return square(standard_deviation(numbers))
22.75
59
0.824176
20
182
7.4
0.65
0.22973
0
0
0
0
0
0
0
0
0
0
0.120879
182
7
60
26
0.925
0.043956
0
0
0
0
0
0
0
0
0
0
0
1
0.25
false
0
0.5
0.25
1
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
1
1
1
0
0
7
671ef438bc3f69acea840e4dca9042761b0d3573
168
py
Python
ibsng/handler/admin/expire_all_admin_o_t_ps.py
ParspooyeshFanavar/pyibsng
d48bcf4f25e3f23461528bf0ff8870cc3d537444
[ "MIT" ]
6
2018-03-06T10:16:36.000Z
2021-12-05T12:43:10.000Z
ibsng/handler/admin/expire_all_admin_o_t_ps.py
ParspooyeshFanavar/pyibsng
d48bcf4f25e3f23461528bf0ff8870cc3d537444
[ "MIT" ]
3
2018-03-06T10:27:08.000Z
2022-01-02T15:21:27.000Z
ibsng/handler/admin/expire_all_admin_o_t_ps.py
ParspooyeshFanavar/pyibsng
d48bcf4f25e3f23461528bf0ff8870cc3d537444
[ "MIT" ]
3
2018-01-06T16:28:31.000Z
2018-09-17T19:47:19.000Z
"""Expire all admin OTPs API method.""" from ibsng.handler.handler import Handler class expireAllAdminOTPs(Handler): """Expire all admin OTPs class.""" pass
18.666667
41
0.714286
21
168
5.714286
0.619048
0.15
0.233333
0.3
0
0
0
0
0
0
0
0
0.172619
168
8
42
21
0.863309
0.369048
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0.333333
0.333333
0
0.666667
0
1
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
1
1
1
0
1
0
0
8
677d727768c843d9e8600b74938868481ae77822
12,487
py
Python
tests/inventory/pipelines/test_data/fake_instances.py
pombredanne/forseti-security
68a9a88243460065e00b6c131b3d9abd0331fb37
[ "Apache-2.0" ]
1
2018-03-26T08:15:21.000Z
2018-03-26T08:15:21.000Z
tests/inventory/pipelines/test_data/fake_instances.py
pombredanne/forseti-security
68a9a88243460065e00b6c131b3d9abd0331fb37
[ "Apache-2.0" ]
null
null
null
tests/inventory/pipelines/test_data/fake_instances.py
pombredanne/forseti-security
68a9a88243460065e00b6c131b3d9abd0331fb37
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python # Copyright 2017 The Forseti Security Authors. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the 'License'); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #...
57.810185
2,253
0.563386
1,203
12,487
5.815461
0.179551
0.058319
0.131218
0.153087
0.866638
0.866638
0.856061
0.836049
0.836049
0.830475
0
0.055969
0.267398
12,487
215
2,254
58.07907
0.708789
0.050292
0
0.671795
0
0.107692
0.664358
0.090287
0
0
0
0
0
1
0
false
0
0
0
0
0.035897
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
1
0
0
0
0
0
0
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
58afd36de9093d093d64c04829a07959540bc689
4,219
py
Python
Model/model/FCN.py
LovingThresh/CJTeam
ce03e107e0b33ac8132d4d6369fd7f98013e7563
[ "Apache-2.0" ]
1
2022-03-28T05:57:45.000Z
2022-03-28T05:57:45.000Z
Model/model/FCN.py
LovingThresh/CJTeam
ce03e107e0b33ac8132d4d6369fd7f98013e7563
[ "Apache-2.0" ]
null
null
null
Model/model/FCN.py
LovingThresh/CJTeam
ce03e107e0b33ac8132d4d6369fd7f98013e7563
[ "Apache-2.0" ]
null
null
null
from base import * # model是网络对象 model = object # FCN系列网络-FCN-8s,FCN-16s,FCN-32s # 在经典的VGGNet的基础上,把VGG网络最后的全连接层全部去掉,换为卷积层 def FCN_32sDecoder(Encoder, feature_list=None, out_num=None): global model f1, f2, f3, f4 = feature_list Encoder_out_layer = Encoder.output # D_block1 x = keras.layers.Conv2D(4...
38.706422
92
0.579047
573
4,219
4.066318
0.137871
0.132189
0.128755
0.069528
0.914592
0.914592
0.906009
0.906009
0.893562
0.893562
0
0.06873
0.272339
4,219
108
93
39.064815
0.690228
0.046694
0
0.835821
0
0
0.100874
0
0
0
0
0
0
1
0.044776
false
0
0.014925
0
0.104478
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
4525670312c778b35d334d57947620a66304417f
8,837
py
Python
new_code/model.py
Cozyzheng/RS_DL_Junyi
c2c894ee9a2c6d4d5ffba6504c3c5f55ffda03d3
[ "MIT" ]
null
null
null
new_code/model.py
Cozyzheng/RS_DL_Junyi
c2c894ee9a2c6d4d5ffba6504c3c5f55ffda03d3
[ "MIT" ]
null
null
null
new_code/model.py
Cozyzheng/RS_DL_Junyi
c2c894ee9a2c6d4d5ffba6504c3c5f55ffda03d3
[ "MIT" ]
null
null
null
import tensorflow as tf from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Conv2D,MaxPooling2D,UpSampling2D,BatchNormalization,Reshape,Permute,Activation from tensorflow.keras.optimizers import Adam from cfg import * img_w = 256 img_h = 256 lr_init = 0.01 lr_decay = 0.00001 def Se...
36.820833
142
0.608012
1,183
8,837
4.469146
0.077768
0.024589
0.071496
0.049177
0.88084
0.876111
0.848875
0.821638
0.821638
0.779459
0
0.073856
0.19407
8,837
239
143
36.974895
0.668492
0.022632
0
0.748603
0
0
0.082192
0.005572
0
0
0
0
0
1
0.011173
false
0
0.027933
0
0.050279
0.005587
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
18cd4de6cc9c583a3059f9bb7f5e1bf0ee801d7a
5,269
py
Python
asv_bench/benchmarks/parser_vb.py
springcoil/pandas
945075ad78cef652039feb50d60092b0580604e6
[ "PSF-2.0", "Apache-2.0", "BSD-2-Clause", "BSD-3-Clause" ]
2
2017-05-07T02:08:12.000Z
2017-12-14T01:47:47.000Z
asv_bench/benchmarks/parser_vb.py
springcoil/pandas
945075ad78cef652039feb50d60092b0580604e6
[ "PSF-2.0", "Apache-2.0", "BSD-2-Clause", "BSD-3-Clause" ]
null
null
null
asv_bench/benchmarks/parser_vb.py
springcoil/pandas
945075ad78cef652039feb50d60092b0580604e6
[ "PSF-2.0", "Apache-2.0", "BSD-2-Clause", "BSD-3-Clause" ]
1
2020-12-09T12:02:39.000Z
2020-12-09T12:02:39.000Z
from .pandas_vb_common import * import os from pandas import read_csv, read_table try: from cStringIO import StringIO except ImportError: from io import StringIO class read_csv_comment2(object): goal_time = 0.2 def setup(self): self.data = ['A,B,C'] self.data = (self.data + (['1,2,3 #...
47.044643
532
0.687607
712
5,269
4.973315
0.160112
0.05874
0.031629
0.033889
0.883084
0.866422
0.858797
0.845806
0.845806
0.823779
0
0.431118
0.1803
5,269
112
533
47.044643
0.388747
0
0
0.512821
0
0.064103
0.470588
0.267552
0
0
0
0
0
1
0.230769
false
0
0.076923
0
0.512821
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
10
e1399c753cc8ce10f4e8ea269805de7fb6721c85
16,139
py
Python
sdk/python/pulumi_azure/apimanagement/group_user.py
henriktao/pulumi-azure
f1cbcf100b42b916da36d8fe28be3a159abaf022
[ "ECL-2.0", "Apache-2.0" ]
109
2018-06-18T00:19:44.000Z
2022-02-20T05:32:57.000Z
sdk/python/pulumi_azure/apimanagement/group_user.py
henriktao/pulumi-azure
f1cbcf100b42b916da36d8fe28be3a159abaf022
[ "ECL-2.0", "Apache-2.0" ]
663
2018-06-18T21:08:46.000Z
2022-03-31T20:10:11.000Z
sdk/python/pulumi_azure/apimanagement/group_user.py
henriktao/pulumi-azure
f1cbcf100b42b916da36d8fe28be3a159abaf022
[ "ECL-2.0", "Apache-2.0" ]
41
2018-07-19T22:37:38.000Z
2022-03-14T10:56:26.000Z
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import...
47.328446
226
0.671913
2,046
16,139
5.065982
0.083089
0.105355
0.072938
0.051327
0.852291
0.828847
0.816594
0.801737
0.789194
0.763049
0
0.006136
0.242704
16,139
340
227
47.467647
0.841924
0.412355
0
0.564972
1
0
0.120451
0.009418
0
0
0
0
0
1
0.152542
false
0.00565
0.028249
0
0.271186
0
0
0
0
null
0
0
0
1
1
1
1
1
1
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
7
e1935e55123ceba264733a98587a6e94fbf3ae11
3,907
py
Python
fetch/__init__.py
janwithb/custom-fetch-gym-environment
0f5ca00d5b1f81df2c9d0b540ac1960edfd79caf
[ "Apache-2.0" ]
null
null
null
fetch/__init__.py
janwithb/custom-fetch-gym-environment
0f5ca00d5b1f81df2c9d0b540ac1960edfd79caf
[ "Apache-2.0" ]
null
null
null
fetch/__init__.py
janwithb/custom-fetch-gym-environment
0f5ca00d5b1f81df2c9d0b540ac1960edfd79caf
[ "Apache-2.0" ]
null
null
null
from gym.envs.registration import register register( id='FetchReach-v2', entry_point='fetch.reach:FetchReachEnv', kwargs={ 'reward_type': 'dense', 'randomize_light': False, 'randomize_camera': False, 'randomize_target_color': False, 'randomize_target_size': False, ...
28.107914
44
0.641925
382
3,907
6.188482
0.10733
0.248731
0.192893
0.05753
0.91286
0.91286
0.905245
0.901861
0.875212
0.875212
0
0.010818
0.242897
3,907
138
45
28.311594
0.788371
0
0
0.806202
0
0
0.464551
0.360123
0
0
0
0
0
1
0
true
0
0.007752
0
0.007752
0
0
0
0
null
1
1
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
10
e1b03d92f4f5da7c8c531370a0809db0fe9732c3
38,979
py
Python
tests/dashboard/test_permissions.py
probablysalty/bonsai
06e74acd890ac53e9332aef13a8b47b88e13723c
[ "BSD-3-Clause" ]
9
2021-08-08T22:42:18.000Z
2021-11-23T06:50:14.000Z
tests/dashboard/test_permissions.py
probablysalty/bonsai
06e74acd890ac53e9332aef13a8b47b88e13723c
[ "BSD-3-Clause" ]
5
2020-03-24T16:37:25.000Z
2021-06-10T21:24:54.000Z
tests/dashboard/test_permissions.py
probablysalty/bonsai
06e74acd890ac53e9332aef13a8b47b88e13723c
[ "BSD-3-Clause" ]
1
2018-12-17T03:49:20.000Z
2018-12-17T03:49:20.000Z
from django.urls import reverse from saleor.account.models import User def test_staff_can_access_product_details( staff_client, staff_user, permission_manage_products, product): assert not staff_user.has_perm('product.manage_products') url = reverse('dashboard:product-details', kwargs={'pk': product....
41.335101
82
0.74848
5,155
38,979
5.334821
0.020757
0.108323
0.098796
0.123923
0.969201
0.956583
0.95102
0.939602
0.932839
0.924912
0
0.012869
0.150773
38,979
942
83
41.378981
0.817926
0
0
0.854712
0
0
0.144103
0.115395
0
0
0
0
0.329843
1
0.07199
false
0
0.002618
0
0.074607
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
beee17042d01b3c3387a19f8763f1e3748321bed
29,324
py
Python
Contents/Libraries/Shared/rebulk/test/test_pattern.py
jippo015/Sub-Zero.bundle
734e0f7128c05c0f639e11e7dfc77daa1014064b
[ "MIT" ]
1,553
2015-11-09T02:17:06.000Z
2022-03-31T20:24:52.000Z
Contents/Libraries/Shared/rebulk/test/test_pattern.py
saiterlz/Sub-Zero.bundle
1a0bb9c3e4be84be35d46672907783363fe5a87b
[ "MIT" ]
691
2015-11-05T21:32:26.000Z
2022-03-17T10:52:45.000Z
Contents/Libraries/Shared/rebulk/test/test_pattern.py
saiterlz/Sub-Zero.bundle
1a0bb9c3e4be84be35d46672907783363fe5a87b
[ "MIT" ]
162
2015-11-06T19:38:55.000Z
2022-03-16T02:42:41.000Z
#!/usr/bin/env python # -*- coding: utf-8 -*- # pylint: disable=no-self-use, pointless-statement, missing-docstring, unbalanced-tuple-unpacking, len-as-condition import re import pytest from ..pattern import StringPattern, RePattern, FunctionalPattern, REGEX_AVAILABLE from ..match import Match class TestStringPatter...
34.137369
116
0.591052
3,381
29,324
5.054422
0.060633
0.048686
0.05407
0.086313
0.898005
0.867868
0.847797
0.826965
0.818304
0.805664
0
0.032707
0.279532
29,324
858
117
34.177156
0.776163
0.011322
0
0.771065
0
0
0.086231
0.017405
0
0
0
0
0.527822
1
0.098569
false
0
0.006359
0.00318
0.149444
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
1
0
0
0
0
0
0
0
0
0
8
833e3291c52029d28ec008ce980b4fb1233bb6a6
4,400
py
Python
flaskr/test/unit/webapp/test_feeding_schedule.py
UnibucProjects/SmartAquarium
6f3c16fb7a45218e763b46223568f6c3e5b66bfd
[ "MIT" ]
6
2022-02-02T19:37:57.000Z
2022-02-03T15:12:32.000Z
flaskr/test/unit/webapp/test_feeding_schedule.py
UnibucProjects/SmartAquarium
6f3c16fb7a45218e763b46223568f6c3e5b66bfd
[ "MIT" ]
18
2022-01-29T22:47:46.000Z
2022-02-03T15:30:28.000Z
flaskr/test/unit/webapp/test_feeding_schedule.py
UnibucProjects/SmartAquarium
6f3c16fb7a45218e763b46223568f6c3e5b66bfd
[ "MIT" ]
null
null
null
import pytest import json import random from app import create_app from db import get_db @pytest.fixture def client(): local_app = create_app() client = local_app.test_client() yield client def test_get_feeding_schedule(client): request = client.get("/feeding_schedule") assert request.status_co...
33.846154
108
0.622045
544
4,400
4.786765
0.145221
0.144009
0.050691
0.076037
0.849078
0.808372
0.808372
0.808372
0.802611
0.802611
0
0.018313
0.242955
4,400
130
109
33.846154
0.763434
0
0
0.707547
0
0
0.202227
0.020904
0
0
0
0
0.103774
1
0.066038
false
0
0.04717
0
0.113208
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
834fd01615676b0d9af6bbf57ca1c875646ee39c
129,137
py
Python
huaweicloud-sdk-elb/huaweicloudsdkelb/v3/elb_async_client.py
wuchen-huawei/huaweicloud-sdk-python-v3
3683d703f4320edb2b8516f36f16d485cff08fc2
[ "Apache-2.0" ]
64
2020-06-12T07:05:07.000Z
2022-03-30T03:32:50.000Z
huaweicloud-sdk-elb/huaweicloudsdkelb/v3/elb_async_client.py
wuchen-huawei/huaweicloud-sdk-python-v3
3683d703f4320edb2b8516f36f16d485cff08fc2
[ "Apache-2.0" ]
11
2020-07-06T07:56:54.000Z
2022-01-11T11:14:40.000Z
huaweicloud-sdk-elb/huaweicloudsdkelb/v3/elb_async_client.py
wuchen-huawei/huaweicloud-sdk-python-v3
3683d703f4320edb2b8516f36f16d485cff08fc2
[ "Apache-2.0" ]
24
2020-06-08T11:42:13.000Z
2022-03-04T06:44:08.000Z
# coding: utf-8 from __future__ import absolute_import import datetime import re import importlib import six from huaweicloudsdkcore.client import Client, ClientBuilder from huaweicloudsdkcore.exceptions import exceptions from huaweicloudsdkcore.utils import http_utils from huaweicloudsdkcore.sdk_stream_request imp...
33.239897
533
0.629564
13,325
129,137
5.681201
0.035497
0.059179
0.103564
0.047978
0.891641
0.870955
0.841629
0.811418
0.800507
0.694011
0
0.003212
0.276737
129,137
3,884
534
33.248455
0.807302
0.087597
0
0.809483
0
0
0.151475
0.050791
0
0
0
0
0
1
0.046147
false
0
0.004234
0
0.097798
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
8363cb7c27d973bf42b237c56b3e909d8259b4b4
18,556
py
Python
sdk/python/pulumi_ucloud/ulb/lb_rule.py
AaronFriel/pulumi-ucloud
199278786dddf46bdd370f3f805e30b279c63ff2
[ "ECL-2.0", "Apache-2.0" ]
4
2021-08-18T04:55:38.000Z
2021-09-08T07:59:24.000Z
sdk/python/pulumi_ucloud/ulb/lb_rule.py
AaronFriel/pulumi-ucloud
199278786dddf46bdd370f3f805e30b279c63ff2
[ "ECL-2.0", "Apache-2.0" ]
1
2022-01-28T17:59:37.000Z
2022-01-29T03:44:09.000Z
sdk/python/pulumi_ucloud/ulb/lb_rule.py
AaronFriel/pulumi-ucloud
199278786dddf46bdd370f3f805e30b279c63ff2
[ "ECL-2.0", "Apache-2.0" ]
2
2021-06-23T07:10:40.000Z
2021-06-23T09:25:12.000Z
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import...
43.867612
211
0.637422
2,306
18,556
4.916305
0.092801
0.079562
0.082738
0.058216
0.864514
0.849872
0.829232
0.809385
0.804887
0.797477
0
0.003119
0.257006
18,556
422
212
43.971564
0.819177
0.419541
0
0.663415
1
0
0.090279
0.002522
0
0
0
0
0
1
0.156098
false
0.004878
0.02439
0
0.273171
0
0
0
0
null
0
0
0
1
1
1
1
1
1
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
7
36057c92aaf6386ad44bf492305bd8341ccb3c09
59
py
Python
src/lexer/__init__.py
La-Tribu/cool-compiler-2021
abfbea9be2b278f3fb8182c7bc5072da15bb72dc
[ "MIT" ]
null
null
null
src/lexer/__init__.py
La-Tribu/cool-compiler-2021
abfbea9be2b278f3fb8182c7bc5072da15bb72dc
[ "MIT" ]
null
null
null
src/lexer/__init__.py
La-Tribu/cool-compiler-2021
abfbea9be2b278f3fb8182c7bc5072da15bb72dc
[ "MIT" ]
null
null
null
from .lexer import lexer from .lexer import errors_lexing
14.75
32
0.813559
9
59
5.222222
0.555556
0.382979
0.638298
0
0
0
0
0
0
0
0
0
0.152542
59
3
33
19.666667
0.94
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
3612cb7fe2e85af336cab3256b5d937f9f2782a1
108,345
py
Python
windc_data/windc_2_1/parse/sgf_table_sums.py
uw-windc/windc_datastream
8b6277acf943358a064f109a873852a82991ba3d
[ "MIT" ]
3
2019-11-07T05:15:18.000Z
2020-06-30T15:30:10.000Z
windc_data/windc_2_1/parse/sgf_table_sums.py
uw-windc/windc_datastream
8b6277acf943358a064f109a873852a82991ba3d
[ "MIT" ]
null
null
null
windc_data/windc_2_1/parse/sgf_table_sums.py
uw-windc/windc_datastream
8b6277acf943358a064f109a873852a82991ba3d
[ "MIT" ]
4
2019-11-07T05:15:29.000Z
2021-09-01T17:01:03.000Z
sums_new_methodology = { "Total revenue": { "A01", "A03", "A09", "A10", "A12", "A16", "A18", "A21", "A36", "A44", "A45", "A50", "A54", "A56", "A59", "A60", "A61", "A80", ...
17.200349
88
0.203544
6,771
108,345
3.255797
0.113573
0.006532
0.009798
0.010342
0.943978
0.938353
0.916716
0.908596
0.905693
0.898707
0
0.269389
0.565148
108,345
6,298
89
17.20308
0.198518
0.724445
0
0.931034
0
0
0.18592
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
1
1
0
0
0
0
1
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
10
3635c5f0a97391f7eab4b031324762b8006124cf
6,505
py
Python
telegram_bot/test/test_main.py
diego-hermida/ClimateChangeApp
576d49ec5b76f709cc86874ffb03f4a38dbbbbfd
[ "MIT" ]
2
2018-07-01T20:36:46.000Z
2019-11-01T22:47:06.000Z
telegram_bot/test/test_main.py
diego-hermida/ClimateChangeApp
576d49ec5b76f709cc86874ffb03f4a38dbbbbfd
[ "MIT" ]
1
2021-06-10T20:28:53.000Z
2021-06-10T20:28:53.000Z
telegram_bot/test/test_main.py
diego-hermida/ClimateChangeApp
576d49ec5b76f709cc86874ffb03f4a38dbbbbfd
[ "MIT" ]
null
null
null
import datetime import telegram from telegram_bot import main as main from unittest import TestCase, mock from unittest.mock import Mock @mock.patch('builtins.print', Mock()) class TestMain(TestCase): @mock.patch('builtins.input', Mock()) @mock.patch('telegram.Bot') def test_no_valid_messages(self, mock_...
45.173611
107
0.684243
809
6,505
5.273177
0.088999
0.124707
0.073136
0.101266
0.937178
0.937178
0.930849
0.924754
0.924754
0.924754
0
0.023466
0.200769
6,505
144
108
45.173611
0.797076
0
0
0.858209
0
0
0.062558
0
0
0
0
0
0.156716
1
0.059701
false
0
0.037313
0
0.104478
0.007463
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
36362d4a5bc3cd6b5df65d80381ff4daa0fb2403
292,091
py
Python
Squeezed/src/krotov/Integrals.py
mcditoos/krotov
6a70cc791fa21186997ad2ca5a72f6d30574e7a0
[ "BSD-3-Clause" ]
null
null
null
Squeezed/src/krotov/Integrals.py
mcditoos/krotov
6a70cc791fa21186997ad2ca5a72f6d30574e7a0
[ "BSD-3-Clause" ]
null
null
null
Squeezed/src/krotov/Integrals.py
mcditoos/krotov
6a70cc791fa21186997ad2ca5a72f6d30574e7a0
[ "BSD-3-Clause" ]
1
2021-11-26T17:01:29.000Z
2021-11-26T17:01:29.000Z
import numpy as np from IPython.display import display, Markdown __all__ =['gaussiano_norm','overlap2','coherent_overlap','coherent_update'] def separate(V,row): return V[row][0],V[row][1],V[row][2],V[row][3] def coeffscuadraticos11(V,B): v11,v12,v13,v14=separate(V,0) v21,v22,v23,v24=separate(V,1) ...
86.648176
231
0.443981
50,011
292,091
2.59247
0.012917
0.015025
0.006895
0.009811
0.805441
0.782788
0.765665
0.750255
0.733317
0.717536
0
0.303287
0.080636
292,091
3,370
232
86.673887
0.17952
0.000428
0
0.375494
0
0.001216
0.001499
0
0
0
0
0
0
1
0.010033
false
0
0.000608
0.000912
0.020675
0.000608
0
0
0
null
0
0
0
1
1
1
1
1
1
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
366055dbcf6408a58e9b261e54052482072fa576
6,185
py
Python
notes/migrations/0012_auto_20220126_1914.py
ianshulx/egiportal
3a147a4a61e58f2a6229e08a5a4c256d7b674b81
[ "MIT" ]
1
2022-02-17T10:34:21.000Z
2022-02-17T10:34:21.000Z
notes/migrations/0012_auto_20220126_1914.py
ianshulx/egiportal
3a147a4a61e58f2a6229e08a5a4c256d7b674b81
[ "MIT" ]
null
null
null
notes/migrations/0012_auto_20220126_1914.py
ianshulx/egiportal
3a147a4a61e58f2a6229e08a5a4c256d7b674b81
[ "MIT" ]
null
null
null
# Generated by Django 3.1.14 on 2022-01-26 13:44 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('notes', '0011_mba_sem1_notes_mba_sem2_notes_mba_sem3_notes_mba_sem4_notes'), ] operations = [ migrations.RenameField( model_name='bca_s...
31.881443
86
0.56249
637
6,185
4.952904
0.070644
0.205388
0.296672
0.342314
0.944532
0.934073
0.934073
0.934073
0.934073
0.934073
0
0.014706
0.34034
6,185
193
87
32.046632
0.758578
0.007437
0
0.770053
1
0
0.271957
0.010429
0
0
0
0
0
1
0
false
0
0.005348
0
0.02139
0
0
0
0
null
1
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
11
3d3a3533c99f3d474b8c1864f1bc1ebdcc92a60f
64,974
py
Python
sdk/python/pulumi_google_native/appengine/v1beta/version.py
AaronFriel/pulumi-google-native
75d1cda425e33d4610348972cd70bddf35f1770d
[ "Apache-2.0" ]
44
2021-04-18T23:00:48.000Z
2022-02-14T17:43:15.000Z
sdk/python/pulumi_google_native/appengine/v1beta/version.py
AaronFriel/pulumi-google-native
75d1cda425e33d4610348972cd70bddf35f1770d
[ "Apache-2.0" ]
354
2021-04-16T16:48:39.000Z
2022-03-31T17:16:39.000Z
sdk/python/pulumi_google_native/appengine/v1beta/version.py
AaronFriel/pulumi-google-native
75d1cda425e33d4610348972cd70bddf35f1770d
[ "Apache-2.0" ]
8
2021-04-24T17:46:51.000Z
2022-01-05T10:40:21.000Z
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from ... import _utilities fro...
56.157303
389
0.688983
7,714
64,974
5.602411
0.057817
0.076359
0.076498
0.032533
0.857464
0.799778
0.747923
0.717773
0.703543
0.640628
0
0.001526
0.213347
64,974
1,156
390
56.205882
0.844009
0.369409
0
0.447368
1
0
0.152198
0.030735
0
0
0
0
0
1
0.160665
false
0.001385
0.01108
0.00277
0.278393
0
0
0
0
null
0
0
0
1
1
1
1
1
1
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
7
3d507789fdd3b1ff9e650418cfd9951cb504bf94
9,439
py
Python
scripts/python/turtleRelated/hexpath.py
jeremiahmarks/dangerzone
fe2946b8463ed018d2136ca0eb178161ad370565
[ "MIT" ]
1
2015-08-15T05:25:35.000Z
2015-08-15T05:25:35.000Z
scripts/python/turtleRelated/hexpath.py
jeremiahmarks/dangerzone
fe2946b8463ed018d2136ca0eb178161ad370565
[ "MIT" ]
null
null
null
scripts/python/turtleRelated/hexpath.py
jeremiahmarks/dangerzone
fe2946b8463ed018d2136ca0eb178161ad370565
[ "MIT" ]
null
null
null
def hex_spirala(data): setranges=lambda x,y: (x+1, x+1+(y*6)-1) circleranges={} circleranges[0]=[1,1] a, b = max(data), min(data) circlea=None circleb=None while(a>circleranges[len(circleranges)-1][1]): for x in range(len(circleranges), len(circleranges)+10): circleranges...
34.830258
85
0.616061
981
9,439
5.925586
0.153925
0.205746
0.103217
0.117667
0.834681
0.828832
0.828832
0.828832
0.828832
0.828832
0
0.020688
0.288166
9,439
270
86
34.959259
0.844471
0.059222
0
0.990196
0
0
0
0
0
0
0
0
0
0
null
null
0
0
null
null
0.009804
0
0
0
null
1
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
1
0
0
0
0
0
0
0
0
9
3d523517f113a432e644cae6ff79b964b4a203a1
6,345
py
Python
primaseru/base_layouts.py
Lukmanhakim112/ppdb
c6179478b4c1f0b6cec77a8a059a6e418f6263f1
[ "MIT" ]
null
null
null
primaseru/base_layouts.py
Lukmanhakim112/ppdb
c6179478b4c1f0b6cec77a8a059a6e418f6263f1
[ "MIT" ]
null
null
null
primaseru/base_layouts.py
Lukmanhakim112/ppdb
c6179478b4c1f0b6cec77a8a059a6e418f6263f1
[ "MIT" ]
null
null
null
from crispy_forms.layout import Layout, Fieldset, Row, Div, HTML, Field from crispy_forms.bootstrap import TabHolder, Tab, Accordion, AccordionGroup STUDENT_BASE_LAYOUT = Layout( Fieldset(None, Accordion( AccordionGroup("Data Diri", Row( ...
48.435115
119
0.431836
665
6,345
3.930827
0.13985
0.250956
0.180949
0.213849
0.804514
0.761285
0.752487
0.710406
0.710406
0.636955
0
0.015787
0.420961
6,345
130
120
48.807692
0.6957
0
0
0.5
0
0
0.23089
0
0
0
0
0
0
1
0
false
0
0.016129
0
0.016129
0
0
0
0
null
1
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
9
18096f111414539b782e225eb0603ef87d153401
22,829
py
Python
unit_tests/test_ceph_radosgw_context.py
dardelean/charm-ceph-radosgw
cdc59e2a39db985aef53f8f9d7a14f761aaa96f6
[ "ECL-2.0", "Apache-2.0" ]
null
null
null
unit_tests/test_ceph_radosgw_context.py
dardelean/charm-ceph-radosgw
cdc59e2a39db985aef53f8f9d7a14f761aaa96f6
[ "ECL-2.0", "Apache-2.0" ]
null
null
null
unit_tests/test_ceph_radosgw_context.py
dardelean/charm-ceph-radosgw
cdc59e2a39db985aef53f8f9d7a14f761aaa96f6
[ "ECL-2.0", "Apache-2.0" ]
null
null
null
# Copyright 2016 Canonical Ltd # # 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, s...
42.042357
77
0.600727
2,517
22,829
5.178387
0.097735
0.059076
0.079484
0.099356
0.867347
0.834356
0.819395
0.811263
0.808271
0.807964
0
0.052283
0.271935
22,829
542
78
42.119926
0.731905
0.023961
0
0.806517
0
0.01222
0.253099
0.063769
0
0
0
0
0.034623
1
0.04277
false
0.016293
0.010183
0
0.093686
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
185157c4ded9f6f6d11fda053daf49f2f7984f64
126
py
Python
J_Mathematical_Modeling/Section 2/solutionQuestion1.py
sylvain2002/CBM101
4d9dc4264ce81cc2af58ceaff96fd0ed7a570af5
[ "MIT" ]
7
2019-07-03T07:41:55.000Z
2022-02-06T20:25:37.000Z
J_Mathematical_Modeling/Section 2/solutionQuestion1.py
sylvain2002/CBM101
4d9dc4264ce81cc2af58ceaff96fd0ed7a570af5
[ "MIT" ]
9
2019-03-14T15:15:09.000Z
2019-08-01T14:18:21.000Z
J_Mathematical_Modeling/Section 2/solutionQuestion1.py
sylvain2002/CBM101
4d9dc4264ce81cc2af58ceaff96fd0ed7a570af5
[ "MIT" ]
11
2019-03-12T10:43:11.000Z
2021-10-05T12:15:00.000Z
print("No. Because protein a does not affect the total concentration of protein b, it only converts inactive b in active b. ")
126
126
0.777778
22
126
4.454545
0.863636
0
0
0
0
0
0
0
0
0
0
0
0.166667
126
1
126
126
0.933333
0
0
0
0
1
0.92126
0
0
0
0
0
0
1
0
true
0
0
0
0
1
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
1
0
0
0
0
0
1
1
0
null
0
0
0
0
0
0
1
0
0
0
0
1
0
7
187bfbe011f7e111114412c5f585f9f34fa6ab2f
550
py
Python
Ryven/custom_src/WidgetBaseClasses.py
lidong1266/Ryven-Switch
68d1f71e81d6564196f44ca49d5903f06db6a4d9
[ "MIT" ]
18
2021-01-18T09:52:41.000Z
2022-03-22T10:48:44.000Z
Ryven/custom_src/WidgetBaseClasses.py
xamofb-xsk/Ryven
8c3dcc613098863ae9fb747e62c0bb9d9eb4cef1
[ "MIT" ]
null
null
null
Ryven/custom_src/WidgetBaseClasses.py
xamofb-xsk/Ryven
8c3dcc613098863ae9fb747e62c0bb9d9eb4cef1
[ "MIT" ]
3
2021-01-18T09:49:42.000Z
2022-03-22T10:48:47.000Z
class MWB: """MainWidgetBase""" def __init__(self, params): self.parent_node_instance = params def get_data(self): data = {} return data def set_data(self, data): pass def remove_event(self): pass class IWB: """InputWidgetBase""" def __init__(self...
17.741935
69
0.583636
64
550
4.703125
0.3125
0.106312
0.159468
0.112957
0.810631
0.810631
0.664452
0.664452
0.664452
0.664452
0
0
0.318182
550
30
70
18.333333
0.802667
0.054545
0
0.8
0
0
0
0
0
0
0
0
0
1
0.4
false
0.2
0
0
0.6
0
0
0
0
null
0
0
0
1
1
0
0
0
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
1
0
1
0
0
1
0
0
7
a10c6dd7f7d65e2eedccc0dabdcc5d0d9513cc0b
76,325
py
Python
python/ngsi_v2/ngsi_v2/api/entities_api.py
orchestracities/sdk
9dd1e618d6c013ab916f3880df84c7882f6beec6
[ "Apache-2.0" ]
2
2019-12-22T01:01:34.000Z
2021-07-03T20:30:03.000Z
python/ngsi_v2/ngsi_v2/api/entities_api.py
orchestracities/sdk
9dd1e618d6c013ab916f3880df84c7882f6beec6
[ "Apache-2.0" ]
2
2019-06-06T05:45:45.000Z
2019-06-06T09:03:10.000Z
python/ngsi_v2/ngsi_v2/api/entities_api.py
orchestracities/sdk
9dd1e618d6c013ab916f3880df84c7882f6beec6
[ "Apache-2.0" ]
2
2021-07-03T20:30:06.000Z
2021-11-30T21:55:02.000Z
# coding: utf-8 """ ngsi_v2 NGSI V2 API RC-2018.07 # noqa: E501 The version of the OpenAPI document: 0.2.2 Contact: info@orchestracities.com Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility l...
67.965272
1,131
0.670226
9,748
76,325
5.081966
0.0397
0.034559
0.055956
0.02164
0.975777
0.971517
0.97067
0.961263
0.958356
0.9566
0
0.011822
0.254111
76,325
1,122
1,132
68.025847
0.858352
0.605175
0
0.797642
1
0
0.209694
0.037194
0
0
0
0
0
1
0.033399
false
0
0.009823
0
0.076621
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
1
0
0
0
0
1
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
9
a176a94ce5fdd6d4d2bf2a0940411b9533b9d75e
74
py
Python
test/type_hint_tests/torch_cuda_random.py
wenhaopeter/read_pytorch_code
491f989cd918cf08874dd4f671fb7f0142a0bc4f
[ "Intel", "X11" ]
206
2020-11-28T22:56:38.000Z
2022-03-27T02:33:04.000Z
test/type_hint_tests/torch_cuda_random.py
wenhaopeter/read_pytorch_code
491f989cd918cf08874dd4f671fb7f0142a0bc4f
[ "Intel", "X11" ]
19
2020-12-09T23:13:14.000Z
2022-01-24T23:24:08.000Z
test/type_hint_tests/torch_cuda_random.py
wenhaopeter/read_pytorch_code
491f989cd918cf08874dd4f671fb7f0142a0bc4f
[ "Intel", "X11" ]
28
2020-11-29T15:25:12.000Z
2022-01-20T02:16:27.000Z
import torch torch.cuda.manual_seed_all(0) torch.cuda.manual_seed(1007)
12.333333
29
0.810811
13
74
4.384615
0.615385
0.315789
0.526316
0.666667
0
0
0
0
0
0
0
0.073529
0.081081
74
5
30
14.8
0.764706
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.333333
0
0.333333
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
7
a1837f59d83519101d3380cc30925b10bba15b2e
3,407
py
Python
work2/lib/src/te941.py
thinety/te941
7e3eb22e107672fa14863c9fb60c6d8d7e3790d2
[ "MIT" ]
1
2022-03-03T02:28:54.000Z
2022-03-03T02:28:54.000Z
work2/lib/src/te941.py
thinety/te941
7e3eb22e107672fa14863c9fb60c6d8d7e3790d2
[ "MIT" ]
null
null
null
work2/lib/src/te941.py
thinety/te941
7e3eb22e107672fa14863c9fb60c6d8d7e3790d2
[ "MIT" ]
null
null
null
import torch as _torch from torch import nn as _nn class NN1(_nn.Module): def __init__(self): super().__init__() self.body = _nn.Sequential( _nn.Conv2d(1, 32, kernel_size=3, stride=1, padding='same'), _nn.ReLU(), _nn.Conv2d(32, 32, kernel_size=2, stride=2), ...
26.826772
72
0.493102
448
3,407
3.462054
0.102679
0.073501
0.072211
0.090264
0.920696
0.897485
0.897485
0.897485
0.897485
0.880722
0
0.081167
0.356325
3,407
126
73
27.039683
0.626083
0
0
0.771429
0
0
0.008218
0
0
0
0
0
0
1
0.095238
false
0
0.019048
0
0.209524
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
a18c36b45d85df2e95a97a0e08b7e612369d95da
101
py
Python
src/runner/predictors/__init__.py
Tung-I/nips2019_template
a1fcf35b7633d192d2706a533731cb8c457ac230
[ "MIT" ]
null
null
null
src/runner/predictors/__init__.py
Tung-I/nips2019_template
a1fcf35b7633d192d2706a533731cb8c457ac230
[ "MIT" ]
null
null
null
src/runner/predictors/__init__.py
Tung-I/nips2019_template
a1fcf35b7633d192d2706a533731cb8c457ac230
[ "MIT" ]
null
null
null
from .vipcup_seg_predictor import VIPCUPSegPredictor from .kits_seg_predictor import KitsSegPredictor
50.5
52
0.910891
12
101
7.333333
0.666667
0.272727
0.409091
0
0
0
0
0
0
0
0
0
0.069307
101
2
53
50.5
0.93617
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
a1ad6a260b77ccfbddcb9d8e3e4cea19a630205a
3,878
py
Python
tests/test_core/test_widget_set.py
Vamporelol/py_cui
96c1c1832373821c77d51a98212721fd9a339a59
[ "BSD-3-Clause" ]
null
null
null
tests/test_core/test_widget_set.py
Vamporelol/py_cui
96c1c1832373821c77d51a98212721fd9a339a59
[ "BSD-3-Clause" ]
null
null
null
tests/test_core/test_widget_set.py
Vamporelol/py_cui
96c1c1832373821c77d51a98212721fd9a339a59
[ "BSD-3-Clause" ]
1
2021-06-16T08:56:36.000Z
2021-06-16T08:56:36.000Z
import pytest # noqa import py_cui def test_create(WIDGETSET): test_widget_set = WIDGETSET(4, 5, 30, 100) assert test_widget_set._simulated_terminal == [30, 100] assert test_widget_set._height == 26 assert test_widget_set._width == 100 def test_add_scroll_menu(WIDGETSET): test_widget_set = WIDG...
33.431034
61
0.675606
566
3,878
4.339223
0.091873
0.158795
0.206433
0.136808
0.90513
0.90513
0.887622
0.887622
0.887622
0.87215
0
0.039304
0.199587
3,878
115
62
33.721739
0.751933
0.001031
0
0.72449
0
0
0.045196
0
0
0
0
0
0.459184
1
0.081633
false
0
0.020408
0
0.102041
0
0
0
0
null
0
1
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
1
0
0
0
0
0
0
0
0
0
9
a1f5a8834bd2dc5177bbe32aae76a2226769db7e
49,859
py
Python
ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/trafficendpoint_2a9ee9d883512c1a5bdd5b6b068836f5.py
Vibaswan/ixnetwork_restpy
239fedc7050890746cbabd71ea1e91c68d9e5cad
[ "MIT" ]
null
null
null
ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/trafficendpoint_2a9ee9d883512c1a5bdd5b6b068836f5.py
Vibaswan/ixnetwork_restpy
239fedc7050890746cbabd71ea1e91c68d9e5cad
[ "MIT" ]
null
null
null
ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/trafficendpoint_2a9ee9d883512c1a5bdd5b6b068836f5.py
Vibaswan/ixnetwork_restpy
239fedc7050890746cbabd71ea1e91c68d9e5cad
[ "MIT" ]
null
null
null
# MIT LICENSE # # Copyright 1997 - 2020 by IXIA Keysight # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), # to deal in the Software without restriction, including without limitation # the rights to use, copy, modify,...
54.431223
1,015
0.694057
5,819
49,859
5.85427
0.06221
0.060941
0.049316
0.039306
0.809282
0.798744
0.751424
0.73296
0.706364
0.638173
0
0.008594
0.218155
49,859
915
1,016
54.49071
0.865297
0.555707
0
0.135501
0
0
0.139047
0.023398
0
0
0
0
0
1
0.287263
false
0
0.00542
0
0.449865
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
0
0
0
8
b80da989fda9e12d79dc5b17815d347d6cfc28a3
4,567
py
Python
pyprobecurrent/log/su8230/AnalyzeSU3500LogFiles.py
drix00/pyprobecurrent
fe9b557fe802084a3f769b42ad2738522856fd73
[ "Apache-2.0" ]
null
null
null
pyprobecurrent/log/su8230/AnalyzeSU3500LogFiles.py
drix00/pyprobecurrent
fe9b557fe802084a3f769b42ad2738522856fd73
[ "Apache-2.0" ]
null
null
null
pyprobecurrent/log/su8230/AnalyzeSU3500LogFiles.py
drix00/pyprobecurrent
fe9b557fe802084a3f769b42ad2738522856fd73
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python """ .. py:currentmodule:: experimental.su8000.log.AnalyzeSU3500LogFiles .. moduleauthor:: Hendrix Demers <hendrix.demers@mail.mcgill.ca> Analize Su-3500 log files. """ # Script information for the file. __author__ = "Hendrix Demers (hendrix.demers@mail.mcgill.ca)" __version__ = "" __date__ = "" ...
35.130769
98
0.614408
500
4,567
5.548
0.22
0.126893
0.098053
0.109589
0.837058
0.837058
0.837058
0.788753
0.788753
0.751262
0
0.026284
0.266915
4,567
129
99
35.403101
0.80227
0.078826
0
0.775
0
0
0.290384
0.035552
0
0
0
0
0
1
0.0375
false
0
0.0375
0
0.075
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
b818633c65cc36ce1c5c51dda452c2d44c462230
25,570
py
Python
track_model/track_model_train.py
QUVA-Lab/lang-tracker
6cb3630471765565b6f2d34a160f0cd51d95a082
[ "BSD-2-Clause-FreeBSD" ]
31
2017-09-13T13:40:59.000Z
2022-01-25T16:55:19.000Z
track_model/track_model_train.py
zhenyangli/lang-tracker
dddd808a22582573ab0a5e4c3dbf0ba054e42d61
[ "BSD-3-Clause" ]
4
2017-09-14T01:56:58.000Z
2021-01-28T00:58:58.000Z
track_model/track_model_train.py
QUVA-Lab/lang-tracker
6cb3630471765565b6f2d34a160f0cd51d95a082
[ "BSD-2-Clause-FreeBSD" ]
9
2017-09-28T03:22:08.000Z
2021-01-19T10:56:44.000Z
from __future__ import absolute_import, division, print_function import numpy as np import caffe from caffe import layers as L from caffe import params as P channel_mean = np.array([123.68, 116.779, 103.939], dtype=np.float32) ############################################################################### # Helper ...
57.203579
143
0.441103
2,967
25,570
3.472531
0.056286
0.064059
0.045424
0.052412
0.948656
0.944385
0.944385
0.944385
0.944385
0.944385
0
0.081116
0.447478
25,570
446
144
57.331839
0.648146
0.283731
0
0.931818
0
0
0.042623
0
0
0
0
0
0
1
0.018939
false
0
0.018939
0.003788
0.056818
0.003788
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
62e6cc4a74b04bdd7b76c9a8eb419dfe32532b2b
879
py
Python
test_autolens/integration/tests/imaging/full_pipeline/test_mock_nlo.py
PyJedi/PyAutoLens
bcfb2e7b447aa24508fc648d60b6fd9b4fd852e7
[ "MIT" ]
1
2020-04-06T20:07:56.000Z
2020-04-06T20:07:56.000Z
test_autolens/integration/tests/imaging/full_pipeline/test_mock_nlo.py
PyJedi/PyAutoLens
bcfb2e7b447aa24508fc648d60b6fd9b4fd852e7
[ "MIT" ]
null
null
null
test_autolens/integration/tests/imaging/full_pipeline/test_mock_nlo.py
PyJedi/PyAutoLens
bcfb2e7b447aa24508fc648d60b6fd9b4fd852e7
[ "MIT" ]
null
null
null
from test_autolens.integration.tests.imaging.full_pipeline import hyper_no_lens_light_bg from test_autolens.integration.tests.imaging.full_pipeline import ( hyper_no_lens_light_bg_extension_false, ) from test_autolens.integration.tests.imaging.full_pipeline import ( hyper_with_lens_light_bg, ) from test_autolen...
33.807692
88
0.819113
142
879
4.450704
0.190141
0.185127
0.208861
0.199367
0.938291
0.931962
0.931962
0.803797
0.786392
0.522152
0
0
0.12628
879
25
89
35.16
0.822917
0
0
0.263158
0
0
0
0
0
0
0
0
0
1
0.263158
false
0
0.210526
0
0.526316
0
0
0
0
null
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
0
0
0
8
a7fbbf47ffc55354edd0a83597dc7b4c4615beea
23,249
py
Python
python/test/function/test_interpolate.py
daniel-falk/nnabla
3fe132ea52dc10521cc029a5d6ba8f565cf65ccf
[ "Apache-2.0" ]
2,792
2017-06-26T13:05:44.000Z
2022-03-28T07:55:26.000Z
python/test/function/test_interpolate.py
daniel-falk/nnabla
3fe132ea52dc10521cc029a5d6ba8f565cf65ccf
[ "Apache-2.0" ]
138
2017-06-27T07:04:44.000Z
2022-02-28T01:37:15.000Z
python/test/function/test_interpolate.py
daniel-falk/nnabla
3fe132ea52dc10521cc029a5d6ba8f565cf65ccf
[ "Apache-2.0" ]
380
2017-06-26T13:23:52.000Z
2022-03-25T16:51:30.000Z
# Copyright 2018,2019,2020,2021 Sony Corporation. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or a...
42.194192
102
0.579724
3,555
23,249
3.619128
0.068073
0.048966
0.008394
0.050598
0.887688
0.877662
0.862584
0.854811
0.834681
0.825587
0
0.064239
0.254764
23,249
550
103
42.270909
0.678345
0.085982
0
0.714286
0
0
0.052878
0
0
0
0
0
0.007143
1
0.035714
false
0
0.038095
0.002381
0.107143
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
9a9212982223f7932361f7af95046253d186591c
120,649
py
Python
Ethernet/python/E_TC.py
wjasper/Linix_Drivers
9c5443f3c9d249f341b6b8580929f8cdbdba4079
[ "JasPer-2.0" ]
100
2016-11-08T15:41:43.000Z
2022-02-20T19:37:32.000Z
Ethernet/python/E_TC.py
wjasper/Linix_Drivers
9c5443f3c9d249f341b6b8580929f8cdbdba4079
[ "JasPer-2.0" ]
37
2017-01-05T17:48:14.000Z
2022-01-06T17:43:27.000Z
Ethernet/python/E_TC.py
wjasper/Linix_Drivers
9c5443f3c9d249f341b6b8580929f8cdbdba4079
[ "JasPer-2.0" ]
65
2016-12-20T07:03:44.000Z
2022-03-14T21:48:35.000Z
#! /usr/bin/python3 # # Copyright (c) 2018 Warren J. Jasper <wjasper@ncsu.edu> # # This library is free software; you can redistribute it and/or # modify it under the terms of the GNU Lesser General Public # License as published by the Free Software Foundation; either # version 2.1 of the License, or (at your option) a...
48.885332
135
0.629446
15,430
120,649
4.645172
0.043616
0.117531
0.165637
0.094594
0.871545
0.85984
0.845218
0.838075
0.829913
0.82316
0
0.020301
0.271623
120,649
2,467
136
48.905148
0.795319
0.164983
0
0.818994
0
0
0.030542
0.000903
0
0
0.015544
0
0
1
0.026257
false
0
0.001676
0
0.101676
0.024581
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
9ade7e44fc2d0b258a78d136b35721e2f2d9919d
54,121
py
Python
napalm_yang/models/openconfig/network_instances/network_instance/protocols/protocol/isis/interfaces/interface/levels/level/afi_safi/af/segment_routing/adjacency_sids/adjacency_sid/config/__init__.py
ckishimo/napalm-yang
8f2bd907bd3afcde3c2f8e985192de74748baf6c
[ "Apache-2.0" ]
64
2016-10-20T15:47:18.000Z
2021-11-11T11:57:32.000Z
napalm_yang/models/openconfig/network_instances/network_instance/protocols/protocol/isis/interfaces/interface/levels/level/afi_safi/af/segment_routing/adjacency_sids/adjacency_sid/config/__init__.py
ckishimo/napalm-yang
8f2bd907bd3afcde3c2f8e985192de74748baf6c
[ "Apache-2.0" ]
126
2016-10-05T10:36:14.000Z
2019-05-15T08:43:23.000Z
napalm_yang/models/openconfig/network_instances/network_instance/protocols/protocol/isis/interfaces/interface/levels/level/afi_safi/af/segment_routing/adjacency_sids/adjacency_sid/config/__init__.py
ckishimo/napalm-yang
8f2bd907bd3afcde3c2f8e985192de74748baf6c
[ "Apache-2.0" ]
63
2016-11-07T15:23:08.000Z
2021-09-22T14:41:16.000Z
# -*- coding: utf-8 -*- from operator import attrgetter from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType from pyangbind.lib.yangtypes import RestrictedClassType from pyangbind.lib.yangtypes import TypedListType from pyangbind.lib.yangtypes import YANGBool from pyangbind.lib.yangtypes import YANGListTy...
47.020851
1,397
0.539938
6,200
54,121
4.533548
0.044516
0.012523
0.010246
0.015369
0.986659
0.978938
0.978938
0.978938
0.978938
0.978938
0
0.037704
0.320781
54,121
1,150
1,398
47.061739
0.726931
0.201456
0
0.88913
0
0.028261
0.322037
0.180122
0
0
0
0
0
1
0.030435
false
0
0.016304
0
0.079348
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
1
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
9af5a874906ab1d9657091bb70064fdc1c865f30
339
py
Python
main/CompuCellPythonTutorial/steppableBasedMitosisPeriodicBC/Simulation/steppableBasedMitosis.py
JulianoGianlupi/nh-cc3d-4x-base-tool
c0f4aceebd4c5bf3ec39e831ef851e419b161259
[ "CC0-1.0" ]
null
null
null
main/CompuCellPythonTutorial/steppableBasedMitosisPeriodicBC/Simulation/steppableBasedMitosis.py
JulianoGianlupi/nh-cc3d-4x-base-tool
c0f4aceebd4c5bf3ec39e831ef851e419b161259
[ "CC0-1.0" ]
null
null
null
main/CompuCellPythonTutorial/steppableBasedMitosisPeriodicBC/Simulation/steppableBasedMitosis.py
JulianoGianlupi/nh-cc3d-4x-base-tool
c0f4aceebd4c5bf3ec39e831ef851e419b161259
[ "CC0-1.0" ]
1
2021-02-26T21:50:29.000Z
2021-02-26T21:50:29.000Z
from cc3d import CompuCellSetup from .steppableBasedMitosisSteppables import VolumeParamSteppable from .steppableBasedMitosisSteppables import MitosisSteppable CompuCellSetup.register_steppable(steppable=VolumeParamSteppable(frequency=10)) CompuCellSetup.register_steppable(steppable=MitosisSteppable(frequency=10)) Co...
37.666667
79
0.893805
28
339
10.75
0.428571
0.232558
0.272425
0.265781
0
0
0
0
0
0
0
0.015528
0.050147
339
8
80
42.375
0.919255
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.5
0
0.5
0
1
0
1
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
8
b14f6227092021ac0e03fc627a68b3514652e85c
90
py
Python
tests/PaxHeaders.2308045/test-ovsdb.py
cuijianming/ovs-2.13.6
e7fdf06d6c26d280b25bdf235146ae007cd2208c
[ "Apache-2.0" ]
null
null
null
tests/PaxHeaders.2308045/test-ovsdb.py
cuijianming/ovs-2.13.6
e7fdf06d6c26d280b25bdf235146ae007cd2208c
[ "Apache-2.0" ]
null
null
null
tests/PaxHeaders.2308045/test-ovsdb.py
cuijianming/ovs-2.13.6
e7fdf06d6c26d280b25bdf235146ae007cd2208c
[ "Apache-2.0" ]
null
null
null
30 mtime=1639777086.636355983 30 atime=1639777086.636355983 30 ctime=1639777126.675355983
22.5
29
0.866667
12
90
6.5
0.666667
0.487179
0.538462
0
0
0
0
0
0
0
0
0.75
0.066667
90
3
30
30
0.178571
0
0
0
0
0
0
0
0
0
0
0
0
0
null
null
0
0
null
null
0
1
0
0
null
1
1
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
1
0
0
0
0
0
0
0
0
7
b1560af9d764841f8719224d4c6205b6bb60058b
11,897
py
Python
test_autolens/unit/simulator/test_simulator.py
harshitjindal/PyAutoLens
f1d3f08f12a61f6634e1b7a0ccf8f5cfe0252035
[ "MIT" ]
1
2020-04-06T20:07:56.000Z
2020-04-06T20:07:56.000Z
test_autolens/unit/simulator/test_simulator.py
harshitjindal/PyAutoLens
f1d3f08f12a61f6634e1b7a0ccf8f5cfe0252035
[ "MIT" ]
null
null
null
test_autolens/unit/simulator/test_simulator.py
harshitjindal/PyAutoLens
f1d3f08f12a61f6634e1b7a0ccf8f5cfe0252035
[ "MIT" ]
null
null
null
import autolens as al import numpy as np import os import pytest test_data_dir = "{}/../test_files/arrays/".format( os.path.dirname(os.path.realpath(__file__)) ) class TestSimulatorImaging: def test__from_tracer__same_as_manual_tracer_input(self): psf = al.kernel.manual_2d( array=np.arra...
32.774105
97
0.594267
1,384
11,897
4.802746
0.084538
0.006319
0.030691
0.029487
0.886264
0.848954
0.836016
0.816308
0.808786
0.808786
0
0.051879
0.306548
11,897
362
98
32.864641
0.753818
0
0
0.758278
0
0
0.002017
0.002017
0
0
0
0
0.089404
1
0.019868
false
0
0.013245
0
0.039735
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
b1597f08b61cfa12827a5347227351ceef176d37
9,804
py
Python
source/RandomProblem.py
fedetoff/SMMR
7ad642bdd1b68c49df5d64de00e1e6df27c67291
[ "MIT" ]
null
null
null
source/RandomProblem.py
fedetoff/SMMR
7ad642bdd1b68c49df5d64de00e1e6df27c67291
[ "MIT" ]
null
null
null
source/RandomProblem.py
fedetoff/SMMR
7ad642bdd1b68c49df5d64de00e1e6df27c67291
[ "MIT" ]
null
null
null
import random from source import Utils, SolutionsUtils, Polytope from random import randint def get_random_constrants_T(d, T): """ Random generation of T user preferences with d criteria. :param n: integer: number of criteria. :param T: integer: number of user preferences. """ formatted_cons...
34.765957
122
0.56069
1,346
9,804
3.960624
0.081724
0.018008
0.06828
0.042018
0.834928
0.833052
0.816545
0.809792
0.809792
0.809792
0
0.015024
0.334659
9,804
281
123
34.88968
0.802238
0.281416
0
0.717514
0
0
0.004835
0
0
0
0
0
0
1
0.028249
false
0
0.016949
0
0.073446
0.022599
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
b193eba787252cca8aa9ceebb0446faa8db3eeb7
3,460
py
Python
tests/test_get_data.py
duncanmazza/ml_stock_prediction_api
4cf6325ff1252511049b87bc46fa4d5b48acf4f3
[ "MIT" ]
1
2020-04-05T20:19:10.000Z
2020-04-05T20:19:10.000Z
tests/test_get_data.py
duncanmazza/ml_stock_prediction_api
4cf6325ff1252511049b87bc46fa4d5b48acf4f3
[ "MIT" ]
null
null
null
tests/test_get_data.py
duncanmazza/ml_stock_prediction_api
4cf6325ff1252511049b87bc46fa4d5b48acf4f3
[ "MIT" ]
null
null
null
""" Tests the :py:mod:`src.get_data` module @author: Duncan Mazza """ from src.get_data import Company from tests.BColors import BColors import pytest import os from warnings import warn from datetime import datetime import numpy as np @pytest.fixture() def company(): r""" TODO: documentation """ re...
34.257426
116
0.696821
472
3,460
4.834746
0.256356
0.04908
0.042068
0.02454
0.803243
0.803243
0.803243
0.753725
0.734005
0.707274
0
0.028666
0.213584
3,460
100
117
34.6
0.809996
0.225434
0
0.45283
0
0
0.109843
0.008268
0
0
0
0.03
0.226415
1
0.09434
false
0
0.132075
0
0.245283
0
0
0
0
null
0
0
0
1
1
1
1
1
1
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
7
b1a430df18bff0a8c6a80a70fae541688afdf7c0
95
py
Python
foo/lc/leetcode/editor/en/aa.py
JaeCoding/keepPying
5bf07b34a6c63e9a6bd2b39c17149adb2dc59570
[ "MIT" ]
1
2020-02-24T15:15:55.000Z
2020-02-24T15:15:55.000Z
foo/lc/leetcode/editor/en/aa.py
JaeCoding/keepPying
5bf07b34a6c63e9a6bd2b39c17149adb2dc59570
[ "MIT" ]
null
null
null
foo/lc/leetcode/editor/en/aa.py
JaeCoding/keepPying
5bf07b34a6c63e9a6bd2b39c17149adb2dc59570
[ "MIT" ]
null
null
null
# a = ''.join('a','b') # b = ''.join([1,2,3]) c = ''.join(['a','b']) c = ''.join(['1','2','3'])
23.75
26
0.315789
18
95
1.666667
0.388889
0.333333
0.4
0.466667
0
0
0
0
0
0
0
0.073171
0.136842
95
4
26
23.75
0.292683
0.431579
0
0
0
0
0.096154
0
0
0
0
0
0
1
0
false
0
0
0
0
0
1
0
1
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
498502d6dd54251b2dbcb405a126a81cf8fbc832
73
py
Python
pySUMMA/decomposition/__init__.py
ahsen1402/pySUMMA
3412e1282bc2cc9b9076f38bf64ef1674d69d770
[ "Apache-2.0" ]
1
2020-01-11T19:56:05.000Z
2020-01-11T19:56:05.000Z
pySUMMA/decomposition/__init__.py
learn-ensemble/PY-SUMMA
1b82237be5dc33af57b5c2e2c16aee4d568ddb77
[ "Apache-2.0" ]
null
null
null
pySUMMA/decomposition/__init__.py
learn-ensemble/PY-SUMMA
1b82237be5dc33af57b5c2e2c16aee4d568ddb77
[ "Apache-2.0" ]
null
null
null
from .rank_one_tensor import Tensor from .rank_one_matrix import Matrix
18.25
35
0.849315
12
73
4.833333
0.5
0.275862
0.37931
0
0
0
0
0
0
0
0
0
0.123288
73
3
36
24.333333
0.90625
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
b8f7a36a1da847c928a9931029314610def383cb
638
py
Python
build/catkin_generated/order_packages.py
ahamden2222/QTRobotTester
90e91d96e0d35a82c904934898d9456812d9728e
[ "MIT" ]
null
null
null
build/catkin_generated/order_packages.py
ahamden2222/QTRobotTester
90e91d96e0d35a82c904934898d9456812d9728e
[ "MIT" ]
null
null
null
build/catkin_generated/order_packages.py
ahamden2222/QTRobotTester
90e91d96e0d35a82c904934898d9456812d9728e
[ "MIT" ]
null
null
null
# generated from catkin/cmake/template/order_packages.context.py.in source_root_dir = "/home/robotpt/QTRobotTester/src" whitelisted_packages = "".split(';') if "" != "" else [] blacklisted_packages = "".split(';') if "" != "" else [] underlay_workspaces = "/home/robotpt/QTRobotTester/devel;/home/robotpt/HumanProjectorI...
106.333333
403
0.766458
78
638
6.141026
0.423077
0.206681
0.200418
0.079332
0.613779
0.613779
0.613779
0.613779
0.613779
0.613779
0
0
0.053292
638
5
404
127.6
0.793046
0.101881
0
0
1
0.5
0.669002
0.663748
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
1
1
0
0
0
0
0
0
1
0
0
0
0
1
0
1
0
0
0
0
1
1
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
9
62100c393bd3c4820183782b5336d26ac2a53512
52,044
py
Python
sdk/python/pulumi_okta/user_schema_property.py
pulumi/pulumi-okta
83f7617a85b3d05213901773fa4e6a151ab6076b
[ "ECL-2.0", "Apache-2.0" ]
5
2019-10-29T21:59:22.000Z
2021-11-08T12:00:24.000Z
sdk/python/pulumi_okta/user_schema_property.py
pulumi/pulumi-okta
83f7617a85b3d05213901773fa4e6a151ab6076b
[ "ECL-2.0", "Apache-2.0" ]
109
2020-01-06T10:28:09.000Z
2022-03-25T19:52:40.000Z
sdk/python/pulumi_okta/user_schema_property.py
pulumi/pulumi-okta
83f7617a85b3d05213901773fa4e6a151ab6076b
[ "ECL-2.0", "Apache-2.0" ]
2
2020-09-11T16:31:04.000Z
2020-11-24T12:23:17.000Z
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from . import ...
44.98185
223
0.642552
6,095
52,044
5.310747
0.03708
0.116222
0.085205
0.073404
0.939912
0.929253
0.914517
0.905187
0.901449
0.887578
0
0.000025
0.241853
52,044
1,156
224
45.020761
0.820336
0.310603
0
0.870343
1
0
0.106871
0.042712
0
0
0
0
0
1
0.166915
false
0.00149
0.010432
0
0.277198
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
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
62147de95581eca38deaf6136f0bd1d593d7997b
130
py
Python
ninjalooter/tests/test_window.py
ewjax/ninjalooter
9faf94eed56de3c375cca4d1be24eab20dc7b226
[ "MIT" ]
4
2020-08-30T12:57:03.000Z
2022-03-18T15:11:13.000Z
ninjalooter/tests/test_window.py
ewjax/ninjalooter
9faf94eed56de3c375cca4d1be24eab20dc7b226
[ "MIT" ]
5
2022-01-07T03:17:32.000Z
2022-03-27T21:20:12.000Z
ninjalooter/tests/test_window.py
ewjax/ninjalooter
9faf94eed56de3c375cca4d1be24eab20dc7b226
[ "MIT" ]
1
2021-12-28T02:18:04.000Z
2021-12-28T02:18:04.000Z
from ninjalooter.tests import base # TODO: placeholder class, can window be tested? class TestWindow(base.NLTestBase): pass
18.571429
48
0.769231
17
130
5.882353
0.882353
0
0
0
0
0
0
0
0
0
0
0
0.161538
130
6
49
21.666667
0.917431
0.353846
0
0
0
0
0
0
0
0
0
0.166667
0
1
0
true
0.333333
0.333333
0
0.666667
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
1
0
0
0
1
1
1
0
1
0
0
7
62268064cf1b1e6f9767f4512b5ca6d09b5b3d47
301,418
py
Python
Xerus/GSASII/testinp/sgtbxtestinp.py
pedrobcst/Xerus
09df088e0207176df0d20715e1c9778d09d28250
[ "MIT" ]
18
2021-12-10T03:05:49.000Z
2022-03-25T15:48:35.000Z
Xerus/GSASII/testinp/sgtbxtestinp.py
pedrobcst/Xerus
09df088e0207176df0d20715e1c9778d09d28250
[ "MIT" ]
14
2022-02-24T11:09:26.000Z
2022-03-30T07:42:17.000Z
Xerus/GSASII/testinp/sgtbxtestinp.py
pedrobcst/Xerus
09df088e0207176df0d20715e1c9778d09d28250
[ "MIT" ]
1
2022-02-25T16:26:54.000Z
2022-02-25T16:26:54.000Z
# output from sgtbx computed on platform win32 on 2010-04-28 sgtbx = { 'p 2 3': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0...
57.898194
113
0.38501
108,473
301,418
1.069842
0.000424
1.172195
1.375229
1.400719
0.999087
0.999
0.998931
0.998854
0.998802
0.998759
0
0.477896
0.198578
301,418
5,205
114
57.909318
0.002513
0.000192
0
0.867043
0
0
0.005578
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
1
null
1
1
1
1
1
1
1
1
1
0
1
0
0
0
0
0
1
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
13
6595cb055058b2e4b73b255bf554fdf72cb13b67
175
py
Python
enformer_pytorch/__init__.py
simonlevine/enformer-pytorch
342915c3f9385f5f24ee4d1d9965d126d49ca279
[ "MIT" ]
null
null
null
enformer_pytorch/__init__.py
simonlevine/enformer-pytorch
342915c3f9385f5f24ee4d1d9965d126d49ca279
[ "MIT" ]
null
null
null
enformer_pytorch/__init__.py
simonlevine/enformer-pytorch
342915c3f9385f5f24ee4d1d9965d126d49ca279
[ "MIT" ]
null
null
null
from enformer_pytorch.enformer_pytorch import Enformer, SEQUENCE_LENGTH, AttentionPool, seq_indices_to_one_hot from enformer_pytorch.model_loader import load_pretrained_model
58.333333
110
0.908571
24
175
6.166667
0.666667
0.304054
0.256757
0
0
0
0
0
0
0
0
0
0.062857
175
2
111
87.5
0.902439
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
65e8075642f053ea2750baf226488468847ab1e6
142
py
Python
src/petronia/defimpl/logging/console/__init__.py
groboclown/petronia
486338023d19cee989e92f0c5692680f1a37811f
[ "MIT" ]
19
2017-06-21T10:28:24.000Z
2021-12-31T11:49:28.000Z
src/petronia/defimpl/logging/console/__init__.py
groboclown/petronia
486338023d19cee989e92f0c5692680f1a37811f
[ "MIT" ]
10
2016-11-11T18:57:57.000Z
2021-02-01T15:33:43.000Z
src/petronia/defimpl/logging/console/__init__.py
groboclown/petronia
486338023d19cee989e92f0c5692680f1a37811f
[ "MIT" ]
3
2017-09-17T03:29:35.000Z
2019-06-03T10:43:08.000Z
""" Console-based logging. """ from .bootstrap import bootstrap_console_logger as start_extension from .bootstrap import EXTENSION_METADATA
17.75
66
0.816901
17
142
6.588235
0.647059
0.232143
0.339286
0
0
0
0
0
0
0
0
0
0.112676
142
7
67
20.285714
0.888889
0.15493
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
b84dc414bf1edde155b248980f10a2eda37a869c
291
py
Python
tripod/util/__init__.py
amaarora/tripod
bf749da8f223aa208befc398f461549001833ff4
[ "Apache-2.0" ]
null
null
null
tripod/util/__init__.py
amaarora/tripod
bf749da8f223aa208befc398f461549001833ff4
[ "Apache-2.0" ]
null
null
null
tripod/util/__init__.py
amaarora/tripod
bf749da8f223aa208befc398f461549001833ff4
[ "Apache-2.0" ]
null
null
null
# ------------------------------------------------------------------------ # Modified from DETR (https://github.com/facebookresearch/detr) # and UP-DETR (https://github.com/dddzg/up-detr) # Copyright 2021 Aman Arora # ------------------------------------------------------------------------
48.5
74
0.364261
21
291
5.047619
0.666667
0.169811
0.283019
0.339623
0
0
0
0
0
0
0
0.014652
0.061856
291
5
75
58.2
0.373626
0.962199
0
null
0
null
0
0
null
0
0
0
null
1
null
true
0
0
null
null
null
1
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
1
1
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
7
b861f52e61e7c5f547ed5628da88f14c366cf1b9
5,091
py
Python
EEG_Lightning/tools/process_predict_task_2.py
mcd4874/NeurIPS_competition
4df1f222929e9824a55c9c4ae6634743391b0fe9
[ "MIT" ]
23
2021-10-14T02:31:06.000Z
2022-01-25T16:26:44.000Z
EEG_Lightning/tools/process_predict_task_2.py
mcd4874/NeurIPS_competition
4df1f222929e9824a55c9c4ae6634743391b0fe9
[ "MIT" ]
null
null
null
EEG_Lightning/tools/process_predict_task_2.py
mcd4874/NeurIPS_competition
4df1f222929e9824a55c9c4ae6634743391b0fe9
[ "MIT" ]
1
2022-03-05T06:54:11.000Z
2022-03-05T06:54:11.000Z
import numpy as np import pandas as pd import os # exp="\\task_2_final_2\\LA_EA\\tune_filter\\2" # # exp="" # model_path = "C:\\wduong_folder\Dassl.pytorch-master\\NeurIPS_competition\\EEG_Lightning\\NeurIPS_2{}\\no_aug\\no_norm\\mcdV1".format(exp) # # #task 2 final 2 # dataset_A_0_result_path = model_path+"\\dataset_...
36.891304
140
0.758986
844
5,091
4.122038
0.099526
0.09198
0.129348
0.16384
0.836447
0.822363
0.797643
0.741018
0.741018
0.741018
0
0.029161
0.077195
5,091
137
141
37.160584
0.711367
0.622864
0
0
0
0.03125
0.234289
0.157663
0
0
0
0
0
1
0.03125
false
0
0.09375
0
0.125
0.03125
0
0
0
null
0
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
b88580536c76ee65dd86fbba0d3f65c1b2e3372a
39,715
py
Python
python/sbp/linux.py
Patrick-Luo-THR/libsbp
d42e4a1e3cedf6a82b1d993b82e0da148401f80d
[ "MIT" ]
65
2015-03-25T10:28:10.000Z
2022-02-24T12:36:49.000Z
python/sbp/linux.py
Patrick-Luo-THR/libsbp
d42e4a1e3cedf6a82b1d993b82e0da148401f80d
[ "MIT" ]
654
2015-03-24T17:43:55.000Z
2022-03-31T21:42:49.000Z
python/sbp/linux.py
Patrick-Luo-THR/libsbp
d42e4a1e3cedf6a82b1d993b82e0da148401f80d
[ "MIT" ]
110
2015-03-24T17:38:35.000Z
2022-03-21T02:05:19.000Z
#!/usr/bin/env python # Copyright (C) 2015-2021 Swift Navigation Inc. # Contact: https://support.swiftnav.com # # This source is subject to the license found in the file 'LICENSE' which must # be be distributed together with this source. All other rights reserved. # # THIS CODE AND INFORMATION IS PROVIDED "AS IS" WITHO...
30.620663
83
0.653229
5,086
39,715
4.897759
0.069996
0.026375
0.015897
0.017222
0.811481
0.804295
0.791208
0.777158
0.766198
0.748454
0
0.01357
0.250384
39,715
1,297
84
30.620663
0.82315
0.334231
0
0.729651
0
0
0.05868
0
0
0
0.005185
0
0
1
0.127907
false
0
0.005814
0.015988
0.277616
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
b89529cbe5faa624ee8598783e6fd793786469b4
819
py
Python
tests/parser/bug.18.test.py
veltri/DLV2
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
[ "Apache-2.0" ]
null
null
null
tests/parser/bug.18.test.py
veltri/DLV2
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
[ "Apache-2.0" ]
null
null
null
tests/parser/bug.18.test.py
veltri/DLV2
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
[ "Apache-2.0" ]
null
null
null
input = """ bad :- r1, r2. bad :- g1, g2. bad :- b1, b2. bad :- r2, r3. bad :- g2, g3. bad :- b2, b3. bad :- r3, r1. bad :- g3, g1. bad :- b3, b1. r1 :- not g1, not b1. g1 :- not b1, not r1. b1 :- not r1, not g1. r2 :- not g2, not b2. g2 :- not b2, not r2. b2 :- not r2, not g2. r3 :- not g3, not b3. g3 ...
16.058824
22
0.474969
160
819
2.43125
0.09375
0.051414
0.071979
0.051414
0.971722
0.971722
0.971722
0.971722
0.971722
0.971722
0
0.16341
0.312576
819
50
23
16.38
0.527531
0
0
0.956522
0
0
0.959897
0
0
0
0
0
0
1
0
false
0
0
0
0
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
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
b2486aa105c4a83cab57bb59c9abccf8057036be
23,370
py
Python
pyspedas/cluster/__init__.py
ergsc-devel/pyspedas
43d985cbcd23c54205453b06e08f8e51d29ab435
[ "MIT" ]
75
2019-02-22T12:59:33.000Z
2022-02-26T15:33:20.000Z
pyspedas/cluster/__init__.py
ergsc-devel/pyspedas
43d985cbcd23c54205453b06e08f8e51d29ab435
[ "MIT" ]
40
2019-07-02T07:46:34.000Z
2022-02-23T21:48:50.000Z
pyspedas/cluster/__init__.py
ergsc-devel/pyspedas
43d985cbcd23c54205453b06e08f8e51d29ab435
[ "MIT" ]
43
2019-02-22T13:03:41.000Z
2022-01-24T19:26:59.000Z
from .load import load def fgm(trange=['2018-11-5', '2018-11-6'], probe='1', datatype='up', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False): """...
35.843558
258
0.62071
3,054
23,370
4.681401
0.053373
0.042317
0.043086
0.030776
0.967546
0.967546
0.967546
0.967546
0.967546
0.967546
0
0.010233
0.310013
23,370
651
259
35.898618
0.876403
0.67086
0
0.81203
0
0
0.045529
0
0
0
0
0
0
1
0.082707
false
0
0.007519
0
0.172932
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
b248918677f1089ae52e067a81f848e09d6e3bd2
11
py
Python
pj16.py
Ziggareto/project_euler_solns
e52066b9ffec97005bad0f26a3f0e08760d5c5cb
[ "MIT" ]
null
null
null
pj16.py
Ziggareto/project_euler_solns
e52066b9ffec97005bad0f26a3f0e08760d5c5cb
[ "MIT" ]
null
null
null
pj16.py
Ziggareto/project_euler_solns
e52066b9ffec97005bad0f26a3f0e08760d5c5cb
[ "MIT" ]
null
null
null
#pj17
2.75
6
0.363636
1
11
4
1
0
0
0
0
0
0
0
0
0
0
0.4
0.545455
11
3
7
3.666667
0.4
0.363636
0
null
0
null
0
0
null
0
0
0
null
1
null
true
0
0
null
null
null
1
1
0
null
0
0
0
0
0
0
0
0
0
0
1
1
0
1
0
1
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
8
b273c52080a94e558551231cc66f856d9d6acf11
143
py
Python
src/data/__init__.py
simonsanvil/twitch-web-analytics
c44fab75ecb8173edc05fc7b5c436d1c2c8eaa51
[ "MIT" ]
2
2021-12-14T04:14:36.000Z
2021-12-23T21:36:02.000Z
src/data/__init__.py
simonsanvil/twitch-web-analytics
c44fab75ecb8173edc05fc7b5c436d1c2c8eaa51
[ "MIT" ]
null
null
null
src/data/__init__.py
simonsanvil/twitch-web-analytics
c44fab75ecb8173edc05fc7b5c436d1c2c8eaa51
[ "MIT" ]
2
2022-03-04T09:36:33.000Z
2022-03-04T12:42:05.000Z
from .make_dataset import make_data_from_root_user from .make_dataset import extract_follows_from_users_df, extract_num_followers_from_users_df
71.5
92
0.923077
24
143
4.875
0.541667
0.136752
0.25641
0.358974
0
0
0
0
0
0
0
0
0.055944
143
2
92
71.5
0.866667
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
b278559faa858983fb7c9b185053d8f80c83eb88
56,257
py
Python
scripts/gan/cycle_gan/model_base.py
hiroyasuakada/ros_start
10221ad2bcaefa4aaadc6c90424a3751126ac256
[ "MIT" ]
null
null
null
scripts/gan/cycle_gan/model_base.py
hiroyasuakada/ros_start
10221ad2bcaefa4aaadc6c90424a3751126ac256
[ "MIT" ]
null
null
null
scripts/gan/cycle_gan/model_base.py
hiroyasuakada/ros_start
10221ad2bcaefa4aaadc6c90424a3751126ac256
[ "MIT" ]
null
null
null
import os import random import itertools import numpy as np import torch import torch.nn as nn import torch.utils.data import torchvision.transforms as transforms from torchvision.utils import make_grid from torch.autograd import Variable from PIL import Image import matplotlib.pyplot as plt from tensorboardX import Su...
36.601822
121
0.5525
7,001
56,257
4.205542
0.045422
0.050946
0.027001
0.036138
0.878341
0.864348
0.849845
0.83266
0.823388
0.819006
0
0.053983
0.303571
56,257
1,537
122
36.601822
0.697517
0.671063
0
0.715736
0
0
0.013039
0.008157
0
0
0
0.000651
0
1
0.076142
false
0
0.043147
0.002538
0.175127
0.027919
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
b2ab5a015da177007e385ab94b1f672f98e3d2bb
1,557
py
Python
ll.py
shehan-9909/t-banner
8301b8668198d47d26a892e860a77b135fca6560
[ "Apache-2.0" ]
null
null
null
ll.py
shehan-9909/t-banner
8301b8668198d47d26a892e860a77b135fca6560
[ "Apache-2.0" ]
null
null
null
ll.py
shehan-9909/t-banner
8301b8668198d47d26a892e860a77b135fca6560
[ "Apache-2.0" ]
null
null
null
# Obfuscated by Py Compile # Created by HTR-TECH (https://github.com/htr-tech) # Instagram : @tahmid.rayat import marshal,zlib,base64 exec(marshal.loads(zlib.decompress(base64.b64decode("eJxFVMmuo1YQ5b1+Gb8ji5ZYMA+Wkig20zVgJjPY7MxwGYyZ4YG3+fAES91JqerUUd2jupvSiZFv8bHVX1sN2gbJlm9IhSDhf/wNCd++83ckfEdSBCm/IOkbUn4g6TtS/oAk...
259.5
1,422
0.942197
68
1,557
21.573529
0.911765
0.009543
0
0
0
0
0
0
0
0
0
0.145455
0.010918
1,557
6
1,422
259.5
0.807143
0.064226
0
0
0
0.5
0.938102
0.938102
0
1
0
0
0
1
0
true
0
0.5
0
0.5
0
0
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
0
0
0
0
0
1
1
1
null
1
0
0
0
0
0
1
0
1
0
0
0
0
10
a23b9ef0b81c61e18bdb48bea86d54470152de44
2,120
py
Python
tests/fixtures.py
jsbeckwith/entwiner
47e31d332a81ad3108a27cbe768663dc50ce2825
[ "Apache-2.0" ]
1
2021-02-11T19:21:24.000Z
2021-02-11T19:21:24.000Z
tests/fixtures.py
jsbeckwith/entwiner
47e31d332a81ad3108a27cbe768663dc50ce2825
[ "Apache-2.0" ]
null
null
null
tests/fixtures.py
jsbeckwith/entwiner
47e31d332a81ad3108a27cbe768663dc50ce2825
[ "Apache-2.0" ]
1
2020-08-23T22:19:39.000Z
2020-08-23T22:19:39.000Z
import os import pytest from entwiner import DiGraphDB, DiGraphDBView from .constants import FEATURES # TODO: Use a dynamic path and embed this into core graph functionality, like a # classmethod GRAPH_PATH = "/tmp/test_graph.gpkg" @pytest.fixture() def G_test(): if os.path.exists(GRAPH_PATH): ...
27.179487
79
0.610377
286
2,120
4.377622
0.237762
0.14377
0.207668
0.198083
0.809904
0.776358
0.776358
0.776358
0.776358
0.776358
0
0.014563
0.222642
2,120
77
80
27.532468
0.745146
0.092925
0
0.808511
0
0
0.198123
0
0
0
0
0.012987
0
1
0.042553
false
0
0.085106
0
0.170213
0
0
0
0
null
0
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
10
a23ce0b8acb68f9f186675870267b5c794381022
134,180
py
Python
Smart_Process_Analytics.py
1212Prajwol-Pdl/SmartProcessAnalytics
b25b6e922e19cc61cfb9eb96395ad177af1daf71
[ "MIT" ]
2
2020-11-18T02:50:06.000Z
2021-02-02T16:18:32.000Z
Smart_Process_Analytics.py
1212Prajwol-Pdl/SmartProcessAnalytics
b25b6e922e19cc61cfb9eb96395ad177af1daf71
[ "MIT" ]
1
2021-09-09T15:52:53.000Z
2022-02-03T05:43:15.000Z
Smart_Process_Analytics.py
1212Prajwol-Pdl/SmartProcessAnalytics
b25b6e922e19cc61cfb9eb96395ad177af1daf71
[ "MIT" ]
3
2021-02-02T16:18:34.000Z
2021-09-08T06:27:37.000Z
# -*- coding: utf-8 -*- """ Created on Wed Feb 19 00:56:16 2020 @author: Weike (Vicky) Sun vickysun@mit.edu/weike.sun93@gmail.com (c) 2020 Weike Sun, all rights reserved """ import pandas as pd import numpy as np from dataset_property_new import nonlinearity_assess, collinearity_assess, residual_analysis, ...
67.631048
417
0.559316
16,439
134,180
4.24156
0.029564
0.031666
0.023506
0.023865
0.940396
0.931978
0.929955
0.923803
0.918195
0.914165
0
0.00539
0.337666
134,180
1,984
418
67.631048
0.779188
0.006245
0
0.886297
0
0.026239
0.208362
0.016754
0
0
0
0
0
1
0
false
0
0.039359
0
0.039359
0.164723
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
a2976ecc052c86bcdc8f689edcfb4a807d27e843
56,133
py
Python
spio/api/metric_providers_api.py
bsneade/statuspageio-python
30526a2984251885381e781b12b5070d46063537
[ "Apache-2.0" ]
2
2020-03-02T20:32:32.000Z
2020-05-20T16:54:58.000Z
spio/api/metric_providers_api.py
bsneade/statuspageio-python
30526a2984251885381e781b12b5070d46063537
[ "Apache-2.0" ]
null
null
null
spio/api/metric_providers_api.py
bsneade/statuspageio-python
30526a2984251885381e781b12b5070d46063537
[ "Apache-2.0" ]
null
null
null
# coding: utf-8 """ Statuspage API # Code of Conduct Please don't abuse the API, and please report all feature requests and issues to https://help.statuspage.io/help/contact-us-30 # Rate Limiting Each API token is limited to 1 request / second as measured on a 60 second rolling window. To get this limit incr...
56.245491
2,064
0.650954
6,701
56,133
5.110431
0.044919
0.043802
0.063017
0.068331
0.946941
0.945656
0.945189
0.945189
0.940458
0.937538
0
0.014517
0.280869
56,133
997
2,065
56.301906
0.833825
0.442859
0
0.778022
0
0
0.250397
0.126345
0
0
0
0
0
1
0.037363
false
0
0.010989
0
0.085714
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
1
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
a2c08970b30027bc6531880cf45ab9eb83efcf66
168
py
Python
sem_02/lab_04/src/queueing_system/__init__.py
bmstu-ics7/modeling
30f089cab44e8c56886acf6433abe8cc252ae722
[ "MIT" ]
2
2020-06-08T18:50:29.000Z
2021-02-27T11:20:44.000Z
lab_2/code/queueing_system/__init__.py
Winterpuma/bmstu_experiment-planning
8d0ef45432c4d058a210d896ec3342b6b8b4182d
[ "MIT" ]
null
null
null
lab_2/code/queueing_system/__init__.py
Winterpuma/bmstu_experiment-planning
8d0ef45432c4d058a210d896ec3342b6b8b4182d
[ "MIT" ]
1
2020-10-22T10:49:42.000Z
2020-10-22T10:49:42.000Z
import queueing_system.exceptions import queueing_system.distribution import queueing_system.generator import queueing_system.processor import queueing_system.modeller
28
35
0.910714
20
168
7.4
0.4
0.472973
0.675676
0
0
0
0
0
0
0
0
0
0.059524
168
5
36
33.6
0.936709
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
a2c0bb0f1169524d813b1becbc92f670f6d1bf0d
4,406
py
Python
scripts/tests/test_misfit.py
mshodge/sparta
d64197d4f141269ef011525a78da5acde9d04aca
[ "MIT" ]
null
null
null
scripts/tests/test_misfit.py
mshodge/sparta
d64197d4f141269ef011525a78da5acde9d04aca
[ "MIT" ]
1
2022-03-02T12:16:15.000Z
2022-03-02T12:16:15.000Z
scripts/tests/test_misfit.py
mshodge/sparta
d64197d4f141269ef011525a78da5acde9d04aca
[ "MIT" ]
null
null
null
import pytest from scripts.tests.utils.create_data import create_profile_for_calculating_misfit, create_manual_profile_for_calculating_misfit from scripts.misfit import misfit_calculation def test_misfit_calculation_average(): profile = create_profile_for_calculating_misfit() profile_manual = create_manual_pr...
56.487179
127
0.679528
627
4,406
4.397129
0.092504
0.145085
0.228509
0.116068
0.904969
0.893
0.873776
0.873776
0.873776
0.873776
0
0.032819
0.190876
4,406
78
128
56.487179
0.740533
0
0
0.689655
0
0
0.122532
0
0
0
0
0
0.086207
1
0.086207
false
0
0.051724
0
0.137931
0
0
0
0
null
0
1
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
a73de6c9f5c71a05c1c906d1845f2be489761184
11,425
py
Python
mxnet_benchmarks/nn_operations/loss_operations.py
sandeep-krishnamurthy/dl-operator-benchmark
965797d2b847c840a4b8ef29c70c631f6642890a
[ "Apache-2.0" ]
6
2019-05-01T22:05:05.000Z
2020-02-13T19:07:27.000Z
mxnet_benchmarks/nn_operations/loss_operations.py
sandeep-krishnamurthy/dl-operator-benchmark
965797d2b847c840a4b8ef29c70c631f6642890a
[ "Apache-2.0" ]
2
2019-11-09T06:38:09.000Z
2019-11-09T06:41:44.000Z
mxnet_benchmarks/nn_operations/loss_operations.py
sandeep-krishnamurthy/dl-operator-benchmark
965797d2b847c840a4b8ef29c70c631f6642890a
[ "Apache-2.0" ]
null
null
null
import mxnet as mx import mxnet.ndarray as nd from mxnet.gluon import loss from utils.common_utils import get_class_members_in_module from mxnet_benchmarks.MXNetOperatorBenchmark import MXNetOperatorBenchmarkBase from mxnet_benchmarks.utils.gluon_utils import block_forward_and_time from mxnet_benchmarks.utils.ndarray_...
47.016461
116
0.602451
1,307
11,425
5.081867
0.111706
0.057212
0.01897
0.025745
0.780638
0.745408
0.741494
0.722975
0.718458
0.69196
0
0.033049
0.303457
11,425
242
117
47.210744
0.801583
0.229934
0
0.704918
0
0
0.101066
0.02347
0
0
0
0.028926
0
1
0.07377
false
0
0.057377
0
0.172131
0.008197
0
0
0
null
0
0
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
7
a774c9cab86b1183c4d849c10340af62dbb3978d
19,190
py
Python
extensions/arcade/tests/test_xo_txn_family.py
jrineck/sawtooth-core
e3eb79f32c97a25993c87eda7f77a02fd2086c7c
[ "Apache-2.0" ]
null
null
null
extensions/arcade/tests/test_xo_txn_family.py
jrineck/sawtooth-core
e3eb79f32c97a25993c87eda7f77a02fd2086c7c
[ "Apache-2.0" ]
null
null
null
extensions/arcade/tests/test_xo_txn_family.py
jrineck/sawtooth-core
e3eb79f32c97a25993c87eda7f77a02fd2086c7c
[ "Apache-2.0" ]
null
null
null
# Copyright 2016 Intel Corporation # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in wri...
35.602968
80
0.584106
1,891
19,190
5.803279
0.087784
0.104975
0.074358
0.122471
0.906233
0.898487
0.89712
0.881356
0.877438
0.869419
0
0.041972
0.267483
19,190
538
81
35.669145
0.738707
0.063366
0
0.903002
0
0
0.144905
0
0
0
0
0
0.360277
1
0.027714
false
0
0.011547
0
0.04157
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
a7b8208580aaaeade5ddea41f34b194d503ce555
73
py
Python
taobao-tianmao/dingtalk/api/__init__.py
ScottLeeF/python-example
0b230ba80fe5020d70329a9d73e058013f0ca111
[ "Apache-2.0" ]
null
null
null
taobao-tianmao/dingtalk/api/__init__.py
ScottLeeF/python-example
0b230ba80fe5020d70329a9d73e058013f0ca111
[ "Apache-2.0" ]
7
2021-03-19T02:12:42.000Z
2022-03-12T00:25:28.000Z
taobao-tianmao/dingtalk/api/__init__.py
ScottLeeF/python-example
0b230ba80fe5020d70329a9d73e058013f0ca111
[ "Apache-2.0" ]
null
null
null
from dingtalk.api.base import FileItem from dingtalk.api.rest import *
24.333333
39
0.794521
11
73
5.272727
0.636364
0.413793
0.517241
0
0
0
0
0
0
0
0
0
0.136986
73
2
40
36.5
0.920635
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
38f3e902d95a584b7c067058683b4aaae2652e6e
3,362
py
Python
graphtheory/hamiltonian/tspmst.py
gitter-badger/graphs-dict
2be1a5b140feb050eec799d6cadf6de5eef01745
[ "BSD-3-Clause" ]
36
2015-09-20T20:55:39.000Z
2021-09-20T05:49:03.000Z
graphtheory/hamiltonian/tspmst.py
gitter-badger/graphs-dict
2be1a5b140feb050eec799d6cadf6de5eef01745
[ "BSD-3-Clause" ]
6
2016-03-25T21:41:46.000Z
2020-02-12T03:18:59.000Z
graphtheory/hamiltonian/tspmst.py
gitter-badger/graphs-dict
2be1a5b140feb050eec799d6cadf6de5eef01745
[ "BSD-3-Clause" ]
9
2016-09-12T07:57:27.000Z
2022-03-21T16:15:39.000Z
#!/usr/bin/python try: integer_types = (int, long) except NameError: # Python 3 integer_types = (int,) xrange = range from graphtheory.spanningtrees.prim import PrimMatrixMSTWithEdges from graphtheory.traversing.dfs import SimpleDFS class PrimTSPWithEdges: """The minimum spanning tree algorithm fo...
33.959596
78
0.6047
391
3,362
5.12532
0.237852
0.067365
0.038922
0.013972
0.816367
0.816367
0.816367
0.816367
0.816367
0.816367
0
0.003788
0.293278
3,362
98
79
34.306122
0.839646
0.255503
0
0.745763
0
0
0.0175
0
0
0
0
0
0
1
0.067797
false
0
0.033898
0
0.135593
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
3bbbfcf1e5b7529c7dbe3aff0a1cf01e76d0faf8
5,778
py
Python
data/scripts/attributes/StaticNPCAttributeTemplate.py
obi-two/GameServer
7d37024e2291a97d49522610cd8f1dbe5666afc2
[ "MIT" ]
20
2015-02-23T15:11:56.000Z
2022-03-18T20:56:48.000Z
data/scripts/attributes/StaticNPCAttributeTemplate.py
apathyboy/swganh
665128efe9154611dec4cb5efc61d246dd095984
[ "MIT" ]
null
null
null
data/scripts/attributes/StaticNPCAttributeTemplate.py
apathyboy/swganh
665128efe9154611dec4cb5efc61d246dd095984
[ "MIT" ]
20
2015-04-04T16:35:59.000Z
2022-03-24T14:54:37.000Z
import swgpy from swgpy.object import * from swgpy.attributes import * from attributes.AttributeHelpers import SetOptionalAttribute class StaticNPCAttributeTemplate(BaseAttributeTemplate): def buildAttributeTemplate(self, object): attribute_list_message = AttributeListMessage() attribute_list_message.object_id = o...
120.375
189
0.84441
711
5,778
6.344585
0.087201
0.106407
0.060297
0.089337
0.84305
0.796719
0.754822
0.739747
0.696076
0.623808
0
0.000184
0.061094
5,778
48
190
120.375
0.831336
0
0
0
0
0
0.557363
0.551653
0
0
0
0
0
1
0.020833
false
0
0.083333
0
0.145833
0
0
0
0
null
0
0
0
1
1
1
1
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
3be7630c47b46a8431b379b65b99ea61bfb090a0
266
py
Python
spkcspider/apps/spider/views/__init__.py
devkral/spkbspider
97e448b4da412acebd66c4469c7fcdd07bf90ed2
[ "MIT" ]
5
2019-06-24T14:15:54.000Z
2021-05-14T23:16:31.000Z
spkcspider/apps/spider/views/__init__.py
devkral/spkbspider
97e448b4da412acebd66c4469c7fcdd07bf90ed2
[ "MIT" ]
2
2018-06-19T09:56:18.000Z
2018-11-20T12:02:44.000Z
spkcspider/apps/spider/views/__init__.py
devkral/spkbspider
97e448b4da412acebd66c4469c7fcdd07bf90ed2
[ "MIT" ]
null
null
null
from ._components import * # noqa: F403, F401 from ._contents import * # noqa: F403, F401 from ._core import * # noqa: F403, F401 from ._deletion import * # noqa: F403, F401 from ._referrer import * # noqa: F403, F401 from ._tokens import * # noqa: F403, F401
38
46
0.684211
36
266
4.888889
0.305556
0.340909
0.477273
0.613636
0.625
0
0
0
0
0
0
0.169811
0.203008
266
6
47
44.333333
0.660377
0.379699
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
0
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
ce1a75b1b4e54e25d789423da3fddcbe6fc52b83
44,486
py
Python
test/hummingbot/strategy/test_hanging_orders_tracker.py
phbrgnomo/hummingbot
72382954a06a277248f44b321344186aef1c367c
[ "Apache-2.0" ]
1
2021-08-23T03:18:26.000Z
2021-08-23T03:18:26.000Z
test/hummingbot/strategy/test_hanging_orders_tracker.py
phbrgnomo/hummingbot
72382954a06a277248f44b321344186aef1c367c
[ "Apache-2.0" ]
null
null
null
test/hummingbot/strategy/test_hanging_orders_tracker.py
phbrgnomo/hummingbot
72382954a06a277248f44b321344186aef1c367c
[ "Apache-2.0" ]
1
2021-12-09T20:58:26.000Z
2021-12-09T20:58:26.000Z
from datetime import datetime import logging import unittest from decimal import Decimal from mock import MagicMock, patch, PropertyMock from hummingbot.core.event.events import MarketEvent, OrderCancelledEvent, BuyOrderCompletedEvent from hummingbot.strategy.hanging_orders_tracker import HangingOrdersTracker, Hanging...
56.027708
122
0.564784
4,330
44,486
5.487298
0.064665
0.075
0.05303
0.039184
0.859217
0.837332
0.809007
0.793182
0.764268
0.732113
0
0.06461
0.356696
44,486
793
123
56.098361
0.765637
0.047341
0
0.75387
0
0
0.081657
0.044016
0
0
0
0
0.105263
1
0.032508
false
0
0.013932
0.003096
0.052632
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
024bdc581fadab9dff49aa4236b1eb41cdd84366
192
py
Python
numerous/engine/system/__init__.py
amipy/numerous
46eb3806ad904c3c0b3dccad7f8f3ddb5582cbd9
[ "BSD-3-Clause" ]
20
2019-12-11T18:19:39.000Z
2022-01-30T15:37:58.000Z
numerous/engine/system/__init__.py
amipy/numerous
46eb3806ad904c3c0b3dccad7f8f3ddb5582cbd9
[ "BSD-3-Clause" ]
38
2020-04-11T22:25:58.000Z
2022-03-29T12:24:15.000Z
numerous/engine/system/__init__.py
amipy/numerous
46eb3806ad904c3c0b3dccad7f8f3ddb5582cbd9
[ "BSD-3-Clause" ]
7
2019-12-21T12:12:09.000Z
2021-12-02T14:12:09.000Z
from .subsystem import * from .item import * from .binding import * from .connector import * from .connector_item import * from .item_path import * from .namespace import * from .node import *
24
29
0.755208
26
192
5.5
0.346154
0.48951
0.195804
0
0
0
0
0
0
0
0
0
0.161458
192
8
30
24
0.888199
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
65f3aee756b0d178a5a2412bae89c1a75e8fdfa2
126
py
Python
Calculator/squareRoot.py
zc256/PythonCalculator
3267a0809dbc28e437337c68f93a9205c0532563
[ "MIT" ]
null
null
null
Calculator/squareRoot.py
zc256/PythonCalculator
3267a0809dbc28e437337c68f93a9205c0532563
[ "MIT" ]
null
null
null
Calculator/squareRoot.py
zc256/PythonCalculator
3267a0809dbc28e437337c68f93a9205c0532563
[ "MIT" ]
null
null
null
# import math # def squareRoot(a): # return round(math.sqrt(float(a)),9) def squareRoot(a): return round(float(a)**(1/2),8)
21
38
0.666667
22
126
3.818182
0.590909
0.309524
0.333333
0.47619
0.595238
0
0
0
0
0
0
0.036036
0.119048
126
6
39
21
0.720721
0.531746
0
0
0
0
0
0
0
0
0
0
0
1
0.5
false
0
0
0.5
1
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
8
5a00d4aa3e4ec97366305afaa66265f0acdd8e0a
5,304
py
Python
opennem/db/migrations/versions/659f03439631_trading_interval_indexes.py
tourdownunder/opennem
deec3e2079db9d9d84171010fd0c239170d1e7ce
[ "MIT" ]
null
null
null
opennem/db/migrations/versions/659f03439631_trading_interval_indexes.py
tourdownunder/opennem
deec3e2079db9d9d84171010fd0c239170d1e7ce
[ "MIT" ]
1
2020-09-06T04:17:59.000Z
2020-09-06T04:17:59.000Z
opennem/db/migrations/versions/659f03439631_trading_interval_indexes.py
tourdownunder/opennem
deec3e2079db9d9d84171010fd0c239170d1e7ce
[ "MIT" ]
null
null
null
"""Trading interval indexes Revision ID: 659f03439631 Revises: 9ee998713b18 Create Date: 2020-10-09 03:01:56.054462 """ import sqlalchemy as sa from alembic import op # revision identifiers, used by Alembic. revision = "659f03439631" down_revision = "9ee998713b18" branch_labels = None depends_on = None def upgrade...
36.328767
79
0.712481
635
5,304
5.492913
0.102362
0.210722
0.059633
0.073395
0.90797
0.905963
0.905963
0.905963
0.891628
0.635895
0
0.013905
0.186463
5,304
145
80
36.57931
0.794438
0.043929
0
0.528926
0
0
0.535877
0.303815
0
0
0
0
0
1
0.016529
false
0
0.016529
0
0.033058
0
0
0
0
null
1
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
5a0b453b0ca0b40e5b85897cd96b1272b656b9a4
31,239
py
Python
src/ggrc/migrations/versions/20130529211629_459696baf6e4_initial_objects_migr.py
Smotko/ggrc-core
b3abb58b24e7559960d71a94ba79c75539e7fe29
[ "Apache-2.0" ]
null
null
null
src/ggrc/migrations/versions/20130529211629_459696baf6e4_initial_objects_migr.py
Smotko/ggrc-core
b3abb58b24e7559960d71a94ba79c75539e7fe29
[ "Apache-2.0" ]
12
2015-01-08T14:50:19.000Z
2017-11-29T19:37:53.000Z
src/ggrc/migrations/versions/20130529211629_459696baf6e4_initial_objects_migr.py
mikecb/ggrc-core
1cda560cb0920021416e07740c6cca1acba56268
[ "ECL-2.0", "Apache-2.0" ]
1
2015-01-08T13:25:09.000Z
2015-01-08T13:25:09.000Z
# Copyright (C) 2013 Google Inc., authors, and contributors <see AUTHORS file> # Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file> # Created By: dan@reciprocitylabs.com # Maintained By: dan@reciprocitylabs.com """Initial objects migration Revision ID: 459696baf6e4 Revises: None Create Date...
49.822967
85
0.674573
4,092
31,239
5.033724
0.053763
0.156132
0.224294
0.288378
0.894504
0.881833
0.85217
0.805903
0.738081
0.685649
0
0.010895
0.127405
31,239
626
86
49.902556
0.744745
0.016774
0
0.599668
0
0
0.179744
0.013137
0
0
0
0
0
1
0.003322
false
0
0.003322
0
0.006645
0
0
0
0
null
0
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
5a3d555d3fcd443e3da5cb8fb0b5dac02d2af0e3
74
py
Python
src/orders/admin/__init__.py
iNerV/education-backend
787c0d090eb6e4a9338812941b0246a6e1b8e7ad
[ "MIT" ]
151
2020-04-21T09:58:57.000Z
2021-09-12T09:01:21.000Z
src/orders/admin/__init__.py
iNerV/education-backend
787c0d090eb6e4a9338812941b0246a6e1b8e7ad
[ "MIT" ]
163
2020-05-29T20:52:00.000Z
2021-09-11T12:44:56.000Z
src/orders/admin/__init__.py
iNerV/education-backend
787c0d090eb6e4a9338812941b0246a6e1b8e7ad
[ "MIT" ]
39
2020-04-21T12:28:16.000Z
2021-09-12T15:33:47.000Z
import orders.admin.orders # noqa import orders.admin.promocodes # noqa
24.666667
38
0.783784
10
74
5.8
0.5
0.413793
0.586207
0
0
0
0
0
0
0
0
0
0.135135
74
2
39
37
0.90625
0.121622
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
5a49c981d8946a3270527aca43539de68213c017
6,507
py
Python
tagger-ds-temp/tagger/testing/test_retriever.py
filchyboy/TaggerMail
4166a49842817ad999a8fbb6262de7cb7e765a5a
[ "MIT" ]
null
null
null
tagger-ds-temp/tagger/testing/test_retriever.py
filchyboy/TaggerMail
4166a49842817ad999a8fbb6262de7cb7e765a5a
[ "MIT" ]
6
2021-01-28T21:23:23.000Z
2022-01-22T13:06:54.000Z
tagger-ds-temp/tagger/testing/test_retriever.py
filchyboy/TaggerMail
4166a49842817ad999a8fbb6262de7cb7e765a5a
[ "MIT" ]
null
null
null
from __future__ import print_function import pickle import os.path import base64 from bs4 import BeautifulSoup import bleach import re from googleapiclient.discovery import build from google_auth_oauthlib.flow import InstalledAppFlow from google.auth.transport.requests import Request import pytest # If...
35.36413
121
0.671584
853
6,507
5.018757
0.19109
0.046251
0.023125
0.025228
0.856108
0.856108
0.856108
0.856108
0.856108
0.856108
0
0.006745
0.225296
6,507
183
122
35.557377
0.842492
0.317658
0
0.721649
0
0
0.117214
0
0
0
0
0
0.041237
1
0.041237
false
0
0.113402
0
0.175258
0.010309
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
5a85b151921a3c27e60282d6d12f8f337bf9e5fa
1,208
py
Python
django_src/analysis/models.py
jup014/Walk-Data-Processing
5951df6e467702ab0bc3c2721cb5457b0a074aa4
[ "MIT" ]
null
null
null
django_src/analysis/models.py
jup014/Walk-Data-Processing
5951df6e467702ab0bc3c2721cb5457b0a074aa4
[ "MIT" ]
null
null
null
django_src/analysis/models.py
jup014/Walk-Data-Processing
5951df6e467702ab0bc3c2721cb5457b0a074aa4
[ "MIT" ]
null
null
null
from django.db import models # Create your models here. class Aggregated1(models.Model): index_day = models.IntegerField() index_method = models.IntegerField() key_n_days = models.IntegerField() key_window_size = models.IntegerField() key_threshold1 = models.FloatField() key_threshold2 = models...
34.514286
132
0.655629
127
1,208
6
0.244094
0.354331
0.165354
0.076115
0.833333
0.833333
0.833333
0.833333
0.833333
0.833333
0
0.010571
0.216887
1,208
35
133
34.514286
0.794926
0.457781
0
0
0
0
0.115625
0
0
0
0
0
0
1
0
false
0
0.0625
0
0.8125
0
0
0
0
null
1
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
8
ce747120ebd453ebad548b8be69986a6111203d2
902
py
Python
spoonerism.py
primelos/python-funcs
ef62b66017014fef199edcca4df818ae59561115
[ "MIT" ]
null
null
null
spoonerism.py
primelos/python-funcs
ef62b66017014fef199edcca4df818ae59561115
[ "MIT" ]
null
null
null
spoonerism.py
primelos/python-funcs
ef62b66017014fef199edcca4df818ae59561115
[ "MIT" ]
null
null
null
# Write your make_spoonerism function here: def make_spoonerism(word1, word2): a = word1[0] b = word2[0] c = word1[0].replace(a,b) + word1[1:] d = word2[0].replace(b,a) + word2[1:] e = c + ' ' + d return e # Uncomment these function calls to test your function: print(make_spoonerism("Codecademy", "Learn"...
25.771429
61
0.684035
131
902
4.633588
0.267176
0.230643
0.187809
0.075783
0.827018
0.827018
0.827018
0.705107
0.705107
0.705107
0
0.031662
0.159645
902
34
62
26.529412
0.769129
0.619734
0
0
0
0
0.090625
0
0
0
0
0
0
1
0.1
false
0
0
0
0.2
0.3
0
0
0
null
1
1
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
0c9823b3c3b81d7cfe345f4378dc34733315a87a
2,693
py
Python
tests/test_frequency.py
apeyrard/lxd-backup
4577bf739de6b2a6cd660a940e0be423922b9d31
[ "MIT" ]
null
null
null
tests/test_frequency.py
apeyrard/lxd-backup
4577bf739de6b2a6cd660a940e0be423922b9d31
[ "MIT" ]
1
2021-06-01T22:46:55.000Z
2021-06-01T22:46:55.000Z
tests/test_frequency.py
apeyrard/lxd-backup
4577bf739de6b2a6cd660a940e0be423922b9d31
[ "MIT" ]
null
null
null
from lxd_backup.frequencies import should_backup from lxd_backup.frequencies import Frequency def test_when_daily_and_monday_then_should_backup(mocker): mocker.patch('lxd_backup.frequencies.weekday', return_value=0) assert should_backup(Frequency.DAILY) def test_when_weekly_and_tuesday_then_should_not_backu...
37.929577
90
0.821017
388
2,693
5.278351
0.128866
0.134766
0.175781
0.15625
0.884766
0.77002
0.77002
0.743164
0.721191
0.657715
0
0.016333
0.090605
2,693
70
91
38.471429
0.819927
0
0
0.25
0
0
0.167843
0.164872
0
0
0
0
0.295455
1
0.295455
false
0
0.045455
0
0.340909
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
0
0
0
7
490262227b1b04b0803be5b654afb8f3b88aa5df
6,217
py
Python
src/comportamento.py
jssfernandes/monopoly-simulations-python
c73d6ecf0f1be5075ecdb66bcdf54d5617761da6
[ "MIT" ]
null
null
null
src/comportamento.py
jssfernandes/monopoly-simulations-python
c73d6ecf0f1be5075ecdb66bcdf54d5617761da6
[ "MIT" ]
null
null
null
src/comportamento.py
jssfernandes/monopoly-simulations-python
c73d6ecf0f1be5075ecdb66bcdf54d5617761da6
[ "MIT" ]
null
null
null
from random import randint def impulsivo(tabuleiro, jogadores, jogador_atual): if tabuleiro[jogadores[jogador_atual]['posicao_atual']]['proprietario'] != jogadores[jogador_atual]['nome'] \ and jogadores[jogador_atual]['caixa'] > tabuleiro[jogadores[jogador_atual]['posicao_atual']]['custo_venda']: ...
54.535088
126
0.627312
605
6,217
6.242975
0.077686
0.334657
0.439237
0.238284
0.976966
0.976966
0.965846
0.965846
0.965846
0.965846
0
0.007898
0.205726
6,217
113
127
55.017699
0.756987
0
0
0.913462
0
0
0.267492
0
0
0
0
0
0
1
0.038462
false
0
0.009615
0
0.048077
0.5
0
0
0
null
1
1
1
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
1
0
11
0b268bc5bbe09790da00c10cf204d267c085009a
208
py
Python
core/models/utils.py
gabrielloliveira/flaskweet
0fc21bfb62c1335ee009ceb9cda9071ca13a8c76
[ "MIT" ]
null
null
null
core/models/utils.py
gabrielloliveira/flaskweet
0fc21bfb62c1335ee009ceb9cda9071ca13a8c76
[ "MIT" ]
5
2020-04-03T14:40:27.000Z
2020-04-05T15:24:49.000Z
core/models/utils.py
gabrielloliveira/flaskweet
0fc21bfb62c1335ee009ceb9cda9071ca13a8c76
[ "MIT" ]
null
null
null
from passlib.hash import pbkdf2_sha256 def encrypt(password): return pbkdf2_sha256.hash(password) def verify(password, password_storaged): return pbkdf2_sha256.verify(password, password_storaged)
20.8
60
0.802885
26
208
6.230769
0.461538
0.222222
0.222222
0.37037
0
0
0
0
0
0
0
0.065934
0.125
208
9
61
23.111111
0.824176
0
0
0
0
0
0
0
0
0
0
0
0
1
0.4
false
1
0.2
0.4
1
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
1
0
1
1
0
0
9
0b52e72434672d32d39db08deb42542aaa16a864
112
py
Python
app/forms.py
ghoshd1/docker-django-webapp-linux
5ea81a3b9d9e2ec91fcf1663c94ee2c63ca03888
[ "MIT" ]
48
2017-09-21T02:27:31.000Z
2022-03-21T13:40:59.000Z
app/forms.py
ghoshd1/docker-django-webapp-linux
5ea81a3b9d9e2ec91fcf1663c94ee2c63ca03888
[ "MIT" ]
7
2017-08-21T11:16:17.000Z
2020-07-20T14:45:11.000Z
app/forms.py
ghoshd1/docker-django-webapp-linux
5ea81a3b9d9e2ec91fcf1663c94ee2c63ca03888
[ "MIT" ]
161
2017-08-21T06:22:33.000Z
2022-03-31T15:36:08.000Z
""" Definition of forms. """ from django import forms from django.contrib.auth.forms import AuthenticationForm
16
56
0.785714
14
112
6.285714
0.642857
0.204545
0.340909
0
0
0
0
0
0
0
0
0
0.125
112
6
57
18.666667
0.897959
0.178571
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
e8de833ef4df53a07a1cea8aae0dc39b85f4a4b2
99
py
Python
tmp/test_d.py
wiki918/python_pytest_demo
32180f726cabbd7685dda04e72aa111b00677930
[ "BSD-3-Clause" ]
null
null
null
tmp/test_d.py
wiki918/python_pytest_demo
32180f726cabbd7685dda04e72aa111b00677930
[ "BSD-3-Clause" ]
null
null
null
tmp/test_d.py
wiki918/python_pytest_demo
32180f726cabbd7685dda04e72aa111b00677930
[ "BSD-3-Clause" ]
null
null
null
def test_d_1(): assert True def test_d_2(): assert True def test_d_3(): assert True
9.9
15
0.636364
18
99
3.166667
0.444444
0.368421
0.421053
0.596491
0.631579
0
0
0
0
0
0
0.041667
0.272727
99
9
16
11
0.75
0
0
0.5
0
0
0
0
0
0
0
0
0.5
1
0.5
true
0
0
0
0.5
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
1
0
1
1
0
0
0
0
0
0
8
e8e8869aa6d2f8035a5c9cb25f059494072c9011
125
py
Python
recognizer/__init__.py
RukNdf/MA-Landmark
4038ebe7edc9e353e1987479f5f9edc528a4bd2a
[ "Unlicense" ]
null
null
null
recognizer/__init__.py
RukNdf/MA-Landmark
4038ebe7edc9e353e1987479f5f9edc528a4bd2a
[ "Unlicense" ]
null
null
null
recognizer/__init__.py
RukNdf/MA-Landmark
4038ebe7edc9e353e1987479f5f9edc528a4bd2a
[ "Unlicense" ]
null
null
null
from recognizer.ma_plan_recognizer import SATTeamPlanRecognizer from recognizer.sat_plan_recognizer import SATPlanRecognizer
41.666667
63
0.92
14
125
7.928571
0.571429
0.252252
0.36036
0
0
0
0
0
0
0
0
0
0.064
125
2
64
62.5
0.948718
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
e8fc30ee308ece3ccfaac8fc5d5c6838afe37fa5
22,765
py
Python
sdk/python/pulumi_yandex/provider.py
pulumi/pulumi-yandex
559a0c82fd2b834bb5f1dc3abbf0dab689b13a3e
[ "ECL-2.0", "Apache-2.0" ]
9
2021-04-20T15:39:41.000Z
2022-02-20T09:14:39.000Z
sdk/python/pulumi_yandex/provider.py
pulumi/pulumi-yandex
559a0c82fd2b834bb5f1dc3abbf0dab689b13a3e
[ "ECL-2.0", "Apache-2.0" ]
56
2021-04-20T11:31:03.000Z
2022-03-31T15:53:06.000Z
sdk/python/pulumi_yandex/provider.py
pulumi/pulumi-yandex
559a0c82fd2b834bb5f1dc3abbf0dab689b13a3e
[ "ECL-2.0", "Apache-2.0" ]
null
null
null
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from . import ...
46.176471
168
0.65302
2,801
22,765
5.103534
0.076401
0.081567
0.082267
0.09234
0.868555
0.83057
0.776285
0.735362
0.711088
0.659881
0
0.000525
0.246431
22,765
492
169
46.270325
0.83276
0.323787
0
0.462069
1
0
0.090635
0.011373
0
0
0
0
0
1
0.162069
false
0.003448
0.017241
0
0.27931
0
0
0
0
null
0
0
0
1
1
1
1
1
1
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
7
33052aaad10d8d7e42950e3406dcb710b5793260
3,885
py
Python
run_accuracy_tests.py
j3ygithub/hijson
ac4471f27edc23545ec06393cdb6b037aa0399d3
[ "MIT" ]
null
null
null
run_accuracy_tests.py
j3ygithub/hijson
ac4471f27edc23545ec06393cdb6b037aa0399d3
[ "MIT" ]
null
null
null
run_accuracy_tests.py
j3ygithub/hijson
ac4471f27edc23545ec06393cdb6b037aa0399d3
[ "MIT" ]
null
null
null
import json import unittest from json_parsers import stringify, parse class JsonStringifyTestCase(unittest.TestCase): def test_null(self): value = None self.assertEqual(stringify(value), json.dumps(value)) def test_true(self): value = True self.assertEqual(stringify(value), j...
26.979167
67
0.531532
414
3,885
4.874396
0.094203
0.083251
0.130823
0.21556
0.926165
0.926165
0.926165
0.890486
0.890486
0.563429
0
0.00602
0.31583
3,885
143
68
27.167832
0.753198
0
0
0.570175
0
0.035088
0.035521
0
0
0
0
0
0.210526
1
0.210526
false
0
0.026316
0
0.254386
0
0
0
0
null
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
0
0
0
7
33328bfab76c8846d7da10e54cab6f816bf1cbe1
48,131
gyp
Python
library/openssl/1.0.1j.gyp
KjellSchubert/bru
dd70b721d07fbd27c57c845cc3a29cd8f2dfc587
[ "MIT" ]
3
2015-01-06T15:22:16.000Z
2015-11-27T18:13:04.000Z
library/openssl/1.0.1j.gyp
KjellSchubert/bru
dd70b721d07fbd27c57c845cc3a29cd8f2dfc587
[ "MIT" ]
7
2015-02-10T15:13:38.000Z
2021-05-30T07:51:13.000Z
library/openssl/1.0.1j.gyp
KjellSchubert/bru
dd70b721d07fbd27c57c845cc3a29cd8f2dfc587
[ "MIT" ]
3
2015-01-29T17:19:53.000Z
2016-01-06T12:50:06.000Z
{ "targets": [ { # OpenSSL has a lot of config options, with some default options # enabling known insecure algorithms. What's a good combinations # of openssl config options? # ./config no-asm no-shared no-ssl2 no-ssl3 no-hw no-zlib no-threads #...
57.504182
104
0.506368
8,375
48,131
2.823522
0.07797
0.111811
0.223622
0.307946
0.861082
0.859855
0.85588
0.854612
0.851609
0.840825
0
0.140884
0.303484
48,131
836
105
57.572967
0.564491
0.048534
0
0.101673
0
0.785071
0.637511
0.61525
0
0
0
0.001196
0
1
0
true
0
0
0
0
0.007722
0
0
0
null
0
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
null
0
0
0
0
0
0
1
0
0
0
0
0
0
12
3336f6b72554e5a50eef69d3f80865d290c3202d
23,637
py
Python
test/test_schema_validation.py
rob-earwaker/jsch
adb0efb531a1fd75a156e19a78f2be83f9326a17
[ "MIT" ]
null
null
null
test/test_schema_validation.py
rob-earwaker/jsch
adb0efb531a1fd75a156e19a78f2be83f9326a17
[ "MIT" ]
null
null
null
test/test_schema_validation.py
rob-earwaker/jsch
adb0efb531a1fd75a156e19a78f2be83f9326a17
[ "MIT" ]
null
null
null
import unittest import jsch class SchemaValidationTestCase(unittest.TestCase): def assertRaisesSchemaValidationError(self, message): regex = '^{0}$'.format(message) return self.assertRaisesRegex(jsch.SchemaValidationError, regex) class TestAdditionalItemsValidation(SchemaValidationTestCase): ...
37.638535
79
0.697847
2,776
23,637
5.689842
0.055115
0.096233
0.062298
0.083064
0.879709
0.859006
0.824122
0.790503
0.732447
0.607154
0
0.004562
0.202521
23,637
627
80
37.698565
0.833369
0
0
0.429501
0
0
0.137242
0.000973
0
0
0
0
0.182213
1
0.279826
false
0.099783
0.004338
0
0.360087
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
1
0
0
0
0
0
8
681e11237047f4322573e8b2999928b99fca4f59
59,732
py
Python
Processing/plotter.py
dr1315/AHINN
2ad6a466ce5c796a38ebc516ad108755f42f90e0
[ "MIT" ]
null
null
null
Processing/plotter.py
dr1315/AHINN
2ad6a466ce5c796a38ebc516ad108755f42f90e0
[ "MIT" ]
null
null
null
Processing/plotter.py
dr1315/AHINN
2ad6a466ce5c796a38ebc516ad108755f42f90e0
[ "MIT" ]
null
null
null
""" Contains the code to plot the outputs of the neural networks and RGB images of a scene. """ import sys import os import click import matplotlib.pyplot as plt from mpl_toolkits.axes_grid1 import make_axes_locatable import cartopy.crs as ccrs import cartopy.feature as feature import numpy as np from datetime import ...
42.035186
158
0.549052
8,063
59,732
3.857745
0.053454
0.074265
0.078122
0.082302
0.857901
0.829738
0.813374
0.789905
0.783379
0.770037
0
0.130201
0.314404
59,732
1,420
159
42.064789
0.629347
0.123217
0
0.717637
0
0
0.066668
0.008021
0
0
0
0
0
1
0.008688
false
0
0.010426
0
0.026933
0.001738
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
6822f00deebbc76ed2fd96e0c78de432c88f4020
19,086
py
Python
[Execute01]fund_extractXLSXfromFAS.py
tooget/Fund-NAV-Calculator
91b02512c5a080621d5bfb75eceae0ecee487de6
[ "Apache-2.0" ]
1
2018-11-16T09:50:48.000Z
2018-11-16T09:50:48.000Z
[Execute01]fund_extractXLSXfromFAS.py
tooget/Fund-NAV-Calculator
91b02512c5a080621d5bfb75eceae0ecee487de6
[ "Apache-2.0" ]
1
2020-11-13T18:04:36.000Z
2020-11-13T18:04:36.000Z
[Execute01]fund_extractXLSXfromFAS.py
tooget/Fund-NAV-Calculator
91b02512c5a080621d5bfb75eceae0ecee487de6
[ "Apache-2.0" ]
null
null
null
#-*- coding:utf-8 -*- from Modules import Fund_settings from Modules import Fund_modules import time fas_gui = Fund_modules.fund.fund_extractXLSXfromFAS() fasLoginID = Fund_settings.fasLoginId fasLoginPW = Fund_settings.fasLoginPw fas_ExePath = Fund_settings.fasExePath fasGuiImage_path = Fund_modules.ge...
48.19697
140
0.609347
2,043
19,086
5.481155
0.095448
0.08948
0.181282
0.250045
0.86444
0.836757
0.827291
0.758707
0.757993
0.735935
0
0.038538
0.286231
19,086
396
141
48.19697
0.783454
0.090276
0
0.726962
0
0
0.073634
0
0
0
0
0
0
1
0.006826
false
0.010239
0.017065
0
0.027304
0.102389
0
0
0
null
0
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
9