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
282798301fe62d89dc92c6e1905920362da8011c
564
py
Python
addons/website_event_track_live_quiz/controllers/track_live_quiz.py
SHIVJITH/Odoo_Machine_Test
310497a9872db7844b521e6dab5f7a9f61d365a4
[ "Apache-2.0" ]
null
null
null
addons/website_event_track_live_quiz/controllers/track_live_quiz.py
SHIVJITH/Odoo_Machine_Test
310497a9872db7844b521e6dab5f7a9f61d365a4
[ "Apache-2.0" ]
null
null
null
addons/website_event_track_live_quiz/controllers/track_live_quiz.py
SHIVJITH/Odoo_Machine_Test
310497a9872db7844b521e6dab5f7a9f61d365a4
[ "Apache-2.0" ]
null
null
null
# -*- coding: utf-8 -*- # Part of Odoo. See LICENSE file for full copyright and licensing details. from odoo.addons.website_event_track_live.controllers.track_live import EventTrackLiveController class EventTrackLiveQuizController(EventTrackLiveController): def _prepare_track_suggestion_values(self, track, trac...
43.384615
113
0.79078
67
564
6.373134
0.626866
0.140515
0.103045
0.131148
0
0
0
0
0
0
0
0.002037
0.129433
564
12
114
47
0.867617
0.166667
0
0
0
0
0.047109
0
0
0
0
0
0
1
0.166667
false
0
0.166667
0
0.666667
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
2829cb6a0e893f3f47a265e061c7b3ffa93b9eea
8,351
py
Python
bloomberg_functions.py
sophierubin1224/strategy_draft
410206e5679865ffa25506e733c13b5b03416586
[ "MIT" ]
null
null
null
bloomberg_functions.py
sophierubin1224/strategy_draft
410206e5679865ffa25506e733c13b5b03416586
[ "MIT" ]
null
null
null
bloomberg_functions.py
sophierubin1224/strategy_draft
410206e5679865ffa25506e733c13b5b03416586
[ "MIT" ]
4
2021-04-12T23:30:14.000Z
2021-04-13T13:19:15.000Z
################################################################################ ##### For Bloomberg ------------------------------------------------------------ ##### Can't use this if you're on a Mac :( ################################################################################ from __future__ import print_f...
41.341584
81
0.544246
867
8,351
5.124567
0.364475
0.020482
0.021607
0.038262
0.067072
0.044564
0.034211
0.034211
0.015755
0.015755
0
0.003188
0.323794
8,351
201
82
41.547264
0.783602
0.106454
0
0.091549
0
0
0.271478
0.012743
0
0
0
0
0
1
0.014085
false
0
0.070423
0
0.119718
0.056338
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
282a2f90de76609dae1135f6d1faa97131c57a5d
3,767
py
Python
backend/histocat/worker/segmentation/processors/acquisition_processor.py
BodenmillerGroup/histocat-web
c598cd07506febf0b7c209626d4eb869761f2e62
[ "MIT" ]
4
2021-06-14T15:19:25.000Z
2022-02-09T13:17:39.000Z
backend/histocat/worker/segmentation/processors/acquisition_processor.py
BodenmillerGroup/histocat-web
c598cd07506febf0b7c209626d4eb869761f2e62
[ "MIT" ]
null
null
null
backend/histocat/worker/segmentation/processors/acquisition_processor.py
BodenmillerGroup/histocat-web
c598cd07506febf0b7c209626d4eb869761f2e62
[ "MIT" ]
1
2022-02-09T13:17:41.000Z
2022-02-09T13:17:41.000Z
import os from typing import Sequence, Union import numpy as np import tifffile from deepcell.applications import Mesmer from imctools.io.ometiff.ometiffparser import OmeTiffParser from skimage import measure from sqlalchemy.orm import Session from histocat.core.acquisition import service as acquisition_service from ...
38.835052
105
0.723653
452
3,767
5.807522
0.300885
0.048
0.030476
0.013714
0.176
0.176
0.144
0.094476
0.063238
0
0
0.007079
0.17494
3,767
96
106
39.239583
0.837516
0.009026
0
0.025974
0
0
0.077995
0
0
0
0
0
0
1
0.038961
false
0
0.168831
0
0.246753
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
282c0f9d07c95149eb897900350f51bc9e832909
9,800
py
Python
Fractals.py
do-it-for-coffee/fractals
6050dc72ddeed45aefafed489e07a40ee8d8dc1d
[ "Apache-2.0" ]
null
null
null
Fractals.py
do-it-for-coffee/fractals
6050dc72ddeed45aefafed489e07a40ee8d8dc1d
[ "Apache-2.0" ]
null
null
null
Fractals.py
do-it-for-coffee/fractals
6050dc72ddeed45aefafed489e07a40ee8d8dc1d
[ "Apache-2.0" ]
null
null
null
import math import numpy as np import random import os from PIL import Image import pyttsx3 class TopError(Exception): pass class OddResolutionError(Exception): pass class Fractal: ''' Makes images of the Mandelbrot set given a center coordinate and the imaginary coordinate of the top row of pi...
35.507246
94
0.521429
1,115
9,800
4.469058
0.220628
0.034116
0.033915
0.016857
0.111981
0.067028
0.059803
0.059803
0.059803
0.059803
0
0.016842
0.400204
9,800
275
95
35.636364
0.830725
0.169082
0
0.162791
0
0
0.027223
0
0
0
0
0
0
1
0.046512
false
0.023256
0.046512
0
0.162791
0.015504
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
282d70a51f36fc140a29300e30c60da47fb2411b
7,434
py
Python
detect_deeplabv3plus_ascend.py
jackhanyuan/deeplabv3plus-ascend
817006a4514257aa8cd07d752b70bbff9709ba9f
[ "Apache-2.0" ]
null
null
null
detect_deeplabv3plus_ascend.py
jackhanyuan/deeplabv3plus-ascend
817006a4514257aa8cd07d752b70bbff9709ba9f
[ "Apache-2.0" ]
null
null
null
detect_deeplabv3plus_ascend.py
jackhanyuan/deeplabv3plus-ascend
817006a4514257aa8cd07d752b70bbff9709ba9f
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python3 # -*- coding: utf-8 -*- # by [jackhanyuan](https://github.com/jackhanyuan) 07/03/2022 import argparse import copy import glob import os import re import sys import time from pathlib import Path import cv2 import acl import torch import numpy as np from PIL import Image import torch.nn.functiona...
34.738318
114
0.595776
1,088
7,434
3.931985
0.240809
0.02805
0.031791
0.01683
0.12015
0.066854
0.034596
0.020103
0.020103
0
0
0.045543
0.24092
7,434
214
115
34.738318
0.712564
0.062012
0
0.038961
0
0
0.096533
0.011078
0
0
0
0
0
1
0.051948
false
0
0.097403
0
0.207792
0.051948
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
2834130633642f13cf991cd575cca24813206c77
1,670
py
Python
python/test/environment/test_reset.py
stacyvjong/PandemicSimulator
eca906f5dc8135d7c90a1582b96621235f745c17
[ "Apache-2.0" ]
null
null
null
python/test/environment/test_reset.py
stacyvjong/PandemicSimulator
eca906f5dc8135d7c90a1582b96621235f745c17
[ "Apache-2.0" ]
null
null
null
python/test/environment/test_reset.py
stacyvjong/PandemicSimulator
eca906f5dc8135d7c90a1582b96621235f745c17
[ "Apache-2.0" ]
null
null
null
# Confidential, Copyright 2020, Sony Corporation of America, All rights reserved. import copy import numpy as np from pandemic_simulator.environment import CityRegistry, Home, GroceryStore, Office, School, Hospital, PopulationParams, \ LocationParams from pandemic_simulator.script_helpers import make_standard_loc...
36.304348
122
0.742515
221
1,670
5.371041
0.348416
0.067397
0.060657
0.080876
0.356361
0.227464
0.227464
0.227464
0.156698
0.156698
0
0.025344
0.173054
1,670
45
123
37.111111
0.834178
0.047305
0
0.0625
0
0
0
0
0
0
0
0
0.0625
1
0.03125
false
0
0.125
0
0.15625
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
28343120a82f0ad353610fd53956f8cb3bf271dc
1,008
py
Python
Groups/Group_ID_6/SIFT_and_RESIFT/Code_files/sift.py
sonaldangi12/DataScience
3d7cd529a96f37c2ef179ee408e2c6d8744d746a
[ "MIT" ]
5
2020-12-13T07:53:22.000Z
2020-12-20T18:49:27.000Z
Groups/Group_ID_6/SIFT_and_RESIFT/Code_files/sift.py
Gulnaz-Tabassum/DataScience
1fd771f873a9bc0800458fd7c05e228bb6c4e8a0
[ "MIT" ]
null
null
null
Groups/Group_ID_6/SIFT_and_RESIFT/Code_files/sift.py
Gulnaz-Tabassum/DataScience
1fd771f873a9bc0800458fd7c05e228bb6c4e8a0
[ "MIT" ]
24
2020-12-12T11:23:28.000Z
2021-10-04T13:09:38.000Z
from libs import * def SIFT_algo(training_image,training_gray,test_image,test_gray): #test_gray = cv2.cvtColor(test_image, cv2.COLOR_RGB2GRAY) #training_gray = cv2.cvtColor(training_image, cv2.COLOR_RGB2GRAY) # Creating SIFT Object sift = cv2.SIFT_create() # Detecting features ...
56
128
0.779762
127
1,008
5.834646
0.346457
0.105263
0.080972
0.05668
0.202429
0.140351
0.140351
0
0
0
0
0.017483
0.14881
1,008
18
129
56
0.846154
0.222222
0
0
0
0
0
0
0
0
0
0
0
1
0.1
false
0
0.1
0
0.3
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
283446254a407be87bc62c4c4206eacf19fcc853
651
py
Python
Q14__/23_Maximum_Points_You_Can_Obtain_from_Cards/Solution.py
hsclinical/leetcode
48a57f6a5d5745199c5685cd2c8f5c4fa293e54a
[ "Apache-2.0" ]
null
null
null
Q14__/23_Maximum_Points_You_Can_Obtain_from_Cards/Solution.py
hsclinical/leetcode
48a57f6a5d5745199c5685cd2c8f5c4fa293e54a
[ "Apache-2.0" ]
null
null
null
Q14__/23_Maximum_Points_You_Can_Obtain_from_Cards/Solution.py
hsclinical/leetcode
48a57f6a5d5745199c5685cd2c8f5c4fa293e54a
[ "Apache-2.0" ]
null
null
null
from typing import List class Solution: def maxScore(self, cardPoints: List[int], k: int) -> int: if k <= 0: return 0 else: numOfCards = len(cardPoints) totalPart1 = sum(cardPoints) * (k//numOfCards) k = k%numOfCards totalPart2...
32.55
79
0.506912
62
651
5.322581
0.451613
0.1
0.084848
0
0
0
0
0
0
0
0
0.028424
0.40553
651
20
80
32.55
0.824289
0
0
0
0
0
0
0
0
0
0
0
0
1
0.058824
false
0
0.058824
0
0.294118
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
28349545dacdb38c6ebe53a67d01ff333f29fa0c
1,192
py
Python
utils/editResult.py
JasonHippo/Scene_text_detection_and_recognition
c0da141d71b7b888d560296b201aecbbd735b565
[ "MIT" ]
4
2021-12-27T14:37:33.000Z
2022-03-30T10:56:57.000Z
utils/editResult.py
JasonHippo/Scene_text_detection_and_recognition
c0da141d71b7b888d560296b201aecbbd735b565
[ "MIT" ]
null
null
null
utils/editResult.py
JasonHippo/Scene_text_detection_and_recognition
c0da141d71b7b888d560296b201aecbbd735b565
[ "MIT" ]
null
null
null
import pandas as pd import argparse badword = ["!", "$","%","&","'","(",")","*","+",",","-",".","/",":",";","<","=",">","?","@","[","/","]","^","_","`","{","|","}","~","の","®"] if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument('--path', help='the path of file') ...
32.216216
141
0.428691
139
1,192
3.546763
0.42446
0.05071
0.048682
0.040568
0
0
0
0
0
0
0
0.002503
0.329698
1,192
37
142
32.216216
0.613267
0
0
0
0
0
0.089888
0
0
0
0
0
0
1
0
false
0
0.064516
0
0.064516
0.193548
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
2838bf018ab619624c31ab34ebae1fd0c469063d
13,884
py
Python
client/forms/reader_form.py
zhmzlzn/Network-Pj-BookReader
891d395f2db464f4d4e7b84dd03c3cddebbafd30
[ "MIT" ]
6
2019-11-28T10:47:46.000Z
2021-11-04T08:22:56.000Z
client/forms/reader_form.py
zhmzlzn/python-BookReader
891d395f2db464f4d4e7b84dd03c3cddebbafd30
[ "MIT" ]
null
null
null
client/forms/reader_form.py
zhmzlzn/python-BookReader
891d395f2db464f4d4e7b84dd03c3cddebbafd30
[ "MIT" ]
4
2019-12-17T15:29:22.000Z
2021-05-28T16:39:51.000Z
import tkinter as tk from tkinter import * from tkinter import messagebox from tkinter.simpledialog import askinteger from protocol.secure_transmission.secure_channel import establish_secure_channel_to_server from protocol.message_type import MessageType from protocol.data_conversion.from_byte import deserialize_messag...
43.118012
129
0.584054
1,592
13,884
4.978643
0.128769
0.029145
0.044411
0.055766
0.657835
0.621247
0.612415
0.598158
0.56813
0.549962
0
0.009073
0.269663
13,884
322
130
43.118012
0.772584
0.038101
0
0.570896
0
0
0.095331
0
0
0
0
0
0
1
0.059701
false
0
0.033582
0
0.179104
0.048507
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
2838cb9fb3068b931f43ec405489f94b2abb45c7
3,285
py
Python
akispy/__init__.py
ryanleland/Akispy
dbbb85a1d1b027051e11179289cc9067cb90baf6
[ "MIT" ]
null
null
null
akispy/__init__.py
ryanleland/Akispy
dbbb85a1d1b027051e11179289cc9067cb90baf6
[ "MIT" ]
2
2017-05-19T21:59:04.000Z
2021-06-25T15:28:07.000Z
akispy/__init__.py
ryanleland/Akispy
dbbb85a1d1b027051e11179289cc9067cb90baf6
[ "MIT" ]
1
2017-05-18T05:23:47.000Z
2017-05-18T05:23:47.000Z
#!/usr/bin/env python """Light weight python client for Akismet API.""" __title__ = 'akispy' __version__ = '0.2' __author__ = 'Ryan Leland' __copyright__ = 'Copyright 2012 Ryan Leland' import http.client, urllib.request, urllib.parse, urllib.error class Connection(object): _key = None _version = None ...
30.990566
101
0.557991
356
3,285
5.008427
0.323034
0.030286
0.042625
0.040381
0.422883
0.379136
0.375771
0.375771
0.326416
0.326416
0
0.009149
0.334551
3,285
105
102
31.285714
0.806496
0.192998
0
0.358491
0
0
0.108066
0.012921
0
0
0
0
0
1
0.113208
false
0
0.018868
0
0.396226
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
283a11f41a96444be50edc2390d31671ac936bd1
1,599
py
Python
scripts/extract_mfcc.py
xavierfav/coala
b791ad6bb5c4f7b8f8f8fa8e0c5bd5b89b0ecbc3
[ "MIT" ]
34
2020-06-12T15:54:22.000Z
2021-12-16T08:16:45.000Z
scripts/extract_mfcc.py
xavierfav/ae-w2v-attention
8039c056ad365769bdf8d77d6292d4f3cfb957a4
[ "MIT" ]
3
2020-06-22T09:06:27.000Z
2021-07-10T09:58:30.000Z
scripts/extract_mfcc.py
xavierfav/coala
b791ad6bb5c4f7b8f8f8fa8e0c5bd5b89b0ecbc3
[ "MIT" ]
4
2020-10-23T03:29:35.000Z
2021-08-19T09:31:57.000Z
""" This script is used to compute mffc features for target task datasets. Warning: Need manual editing for switching datasets """ import os import librosa import soundfile as sf import numpy as np from tqdm import tqdm from pathlib import Path FILES_LOCATION = '../data/UrbanSound8K/audio' FILES_LOCATION = '../data/G...
30.75
89
0.632896
224
1,599
4.401786
0.415179
0.030426
0.035497
0.030426
0.083164
0
0
0
0
0
0
0.014563
0.227017
1,599
51
90
31.352941
0.783172
0.148843
0
0.0625
0
0
0.136397
0.090437
0
0
0
0
0
1
0.03125
false
0
0.1875
0
0.25
0.03125
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
283bc06264c86314c6694bec3801d78f4ce49fef
799
py
Python
tests/test_06_reporting_classes.py
themperek/pyuvm
12abf6b0a631321c0fcce6ebbc04b8cc9900c6a8
[ "Apache-2.0" ]
null
null
null
tests/test_06_reporting_classes.py
themperek/pyuvm
12abf6b0a631321c0fcce6ebbc04b8cc9900c6a8
[ "Apache-2.0" ]
null
null
null
tests/test_06_reporting_classes.py
themperek/pyuvm
12abf6b0a631321c0fcce6ebbc04b8cc9900c6a8
[ "Apache-2.0" ]
null
null
null
import pyuvm_unittest from pyuvm import * class s06_reporting_classes_TestCase(pyuvm_unittest.pyuvm_TestCase): """Basic test cases.""" def test_object_creation(self): """ Test that we actually get a logger in our object. """ ro = uvm_report_object('ro') self.assertTrue...
34.73913
68
0.524406
84
799
4.869048
0.47619
0.117359
0
0
0
0
0
0
0
0
0
0.003899
0.357947
799
22
69
36.318182
0.793372
0.083855
0
0
0
0
0.135135
0
0
0
0
0
0.2
1
0.066667
false
0
0.133333
0
0.266667
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
283cfb68139e552afe4cbfabaafdcde926934b65
8,429
py
Python
trinity/sync/header/chain.py
g-r-a-n-t/trinity
f108b6cd34ed9aabfcf9e235badd91597650ecd5
[ "MIT" ]
1
2021-04-07T07:33:28.000Z
2021-04-07T07:33:28.000Z
trinity/sync/header/chain.py
g-r-a-n-t/trinity
f108b6cd34ed9aabfcf9e235badd91597650ecd5
[ "MIT" ]
null
null
null
trinity/sync/header/chain.py
g-r-a-n-t/trinity
f108b6cd34ed9aabfcf9e235badd91597650ecd5
[ "MIT" ]
null
null
null
import asyncio from typing import Sequence from async_service import Service, background_asyncio_service from eth.abc import BlockHeaderAPI from eth.exceptions import CheckpointsMustBeCanonical from eth_typing import BlockNumber from trinity._utils.pauser import Pauser from trinity.chains.base import AsyncChainAPI fr...
37.629464
97
0.626409
923
8,429
5.462622
0.206934
0.0357
0.019437
0.013883
0.308608
0.251686
0.240976
0.209044
0.178501
0.137445
0
0.003553
0.298849
8,429
223
98
37.798206
0.849577
0.051608
0
0.297753
0
0
0.096575
0.028708
0
0
0
0
0
1
0.02809
false
0
0.123596
0
0.196629
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
283f0444ed2c9cb2e8181317df155e9ffdbf38c6
1,105
py
Python
scripts/pgmviz.py
anindex/auto_localization
e8acc6fb4a4221115e2d4f9ba87fd077ad741b70
[ "MIT" ]
1
2020-09-03T14:29:27.000Z
2020-09-03T14:29:27.000Z
scripts/pgmviz.py
anindex/auto_localization
e8acc6fb4a4221115e2d4f9ba87fd077ad741b70
[ "MIT" ]
null
null
null
scripts/pgmviz.py
anindex/auto_localization
e8acc6fb4a4221115e2d4f9ba87fd077ad741b70
[ "MIT" ]
2
2019-09-26T15:20:37.000Z
2021-07-14T11:00:49.000Z
import re import numpy def read_pgm(filename, byteorder='>'): """Return image data from a raw PGM file as numpy array. Format specification: http://netpbm.sourceforge.net/doc/pgm.html """ with open(filename, 'rb') as f: buffer = f.read() try: header, width, height, maxval = re.sea...
34.53125
99
0.529412
138
1,105
4.152174
0.557971
0.013962
0.020942
0.027923
0.038394
0.038394
0.038394
0.038394
0.038394
0.038394
0
0.007585
0.284163
1,105
31
100
35.645161
0.716814
0.107692
0
0.086957
0
0
0.204124
0.162887
0
0
0
0
0
1
0.043478
false
0
0.130435
0
0.217391
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
2841fd174e918cba71310ebfefa31472caa5fe2f
331
py
Python
pandoc-starter/MarkTex/marktex/config.py
riciche/SimpleCVReproduction
4075de39f9c61f1359668a413f6a5d98903fcf97
[ "Apache-2.0" ]
923
2020-01-11T06:36:53.000Z
2022-03-31T00:26:57.000Z
pandoc-starter/MarkTex/marktex/config.py
riciche/SimpleCVReproduction
4075de39f9c61f1359668a413f6a5d98903fcf97
[ "Apache-2.0" ]
25
2020-02-27T08:35:46.000Z
2022-01-25T08:54:19.000Z
pandoc-starter/MarkTex/marktex/config.py
riciche/SimpleCVReproduction
4075de39f9c61f1359668a413f6a5d98903fcf97
[ "Apache-2.0" ]
262
2020-01-02T02:19:40.000Z
2022-03-23T04:56:16.000Z
'''Don't change the basic param''' import os '''prog path''' config_path = os.path.split(__file__)[0] marktemp_path = os.path.join(config_path,"markenv.tex") '''tools setting''' image_download_retry_time = 10 # 在尝试重试次数达到上限后,是否等待手动下载该文件放到目录 # wait_manully_if_all_failed = False # 在tex文件里添加图片的时候,使用相对路径还是绝对路径 give_rele_pa...
23.642857
55
0.770393
47
331
5.085106
0.808511
0.083682
0.083682
0
0
0
0
0
0
0
0
0.010067
0.099698
331
13
56
25.461538
0.791946
0.365559
0
0
0
0
0.065868
0
0
0
0
0
0
1
0
false
0
0.2
0
0.2
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
2842d30820f635256f73ae79bc6c16f824dc89f6
704
py
Python
setup.py
jlevy44/Submit-HPC
83dfd60587fab2c75e02f1c14b688b4bc51aff8c
[ "MIT" ]
1
2020-06-11T00:51:24.000Z
2020-06-11T00:51:24.000Z
setup.py
jlevy44/Submit-HPC
83dfd60587fab2c75e02f1c14b688b4bc51aff8c
[ "MIT" ]
null
null
null
setup.py
jlevy44/Submit-HPC
83dfd60587fab2c75e02f1c14b688b4bc51aff8c
[ "MIT" ]
1
2020-06-19T01:05:07.000Z
2020-06-19T01:05:07.000Z
from setuptools import setup with open('README.md','r', encoding='utf-8') as f: long_description = f.read() setup(name='submit_hpc', version='0.1.2', description='Collection of growing job submission scripts, not to replace workflow specifications.', url='https://github.com/jlevy44/Submit-HPC', ...
37.052632
106
0.666193
84
704
5.416667
0.738095
0.131868
0.083516
0.131868
0
0
0
0
0
0
0
0.014035
0.190341
704
18
107
39.111111
0.784211
0
0
0
0
0
0.392045
0.086648
0
0
0
0
0
1
0
false
0
0.055556
0
0.055556
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
2847498b54c2f788df1761ffd02163a689964021
5,924
py
Python
128/utility.py
Jeffrey-Ede/Adaptive-Partial-STEM
dc13e64ba3fb8266d39a260780af615b170a3c88
[ "MIT" ]
3
2020-04-29T21:45:21.000Z
2021-08-13T16:01:14.000Z
128/utility.py
Jeffrey-Ede/intelligent-partial-STEM
dc13e64ba3fb8266d39a260780af615b170a3c88
[ "MIT" ]
null
null
null
128/utility.py
Jeffrey-Ede/intelligent-partial-STEM
dc13e64ba3fb8266d39a260780af615b170a3c88
[ "MIT" ]
null
null
null
import tensorflow as tf import itertools import numpy as np FLAGS = tf.flags.FLAGS def stepped_spiral_actions(theta_incr=np.pi/180): coverage = FLAGS.num_steps*FLAGS.step_size/FLAGS.img_side**2 start_theta = np.pi/4 start_r = np.sqrt(2)*FLAGS.step_size start_position = np.ones(...
33.280899
116
0.613774
796
5,924
4.420854
0.244975
0.007673
0.029554
0.014777
0.202614
0.124467
0.065359
0.036374
0.036374
0.036374
0
0.017878
0.282411
5,924
178
117
33.280899
0.809927
0.217758
0
0.041237
0
0
0.003675
0
0
0
0
0
0
1
0.061856
false
0.010309
0.030928
0
0.154639
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
2847f21bc2086528a4db0c276260fe7ae1c988d5
1,336
py
Python
tests/test_lexer.py
codyd51/camelback
2dd1269bcbc7ce35fcab1df7dfddce229c51e610
[ "MIT" ]
2
2018-11-22T16:45:24.000Z
2018-11-26T16:13:31.000Z
tests/test_lexer.py
codyd51/camelback
2dd1269bcbc7ce35fcab1df7dfddce229c51e610
[ "MIT" ]
null
null
null
tests/test_lexer.py
codyd51/camelback
2dd1269bcbc7ce35fcab1df7dfddce229c51e610
[ "MIT" ]
null
null
null
import os import unittest from camelback.lexer import Lexer class TestLexer(unittest.TestCase): SOURCE_CODE_FILE = os.path.join(os.path.dirname(__file__), 'bin', 'snakecase.c') def test_tokenize_source_code(self): with open(TestLexer.SOURCE_CODE_FILE) as f: stream = f.read() lexe...
37.111111
113
0.355539
106
1,336
4.320755
0.575472
0.017467
0.061135
0
0
0
0
0
0
0
0
0.003654
0.385479
1,336
35
114
38.171429
0.554202
0
0
0.068966
0
0
0.172904
0
0
0
0
0
0.034483
1
0.034483
false
0
0.103448
0
0.206897
0.068966
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
2848866b78d851fe0130aa00ed413f094e4d8df4
6,861
py
Python
cxphasing/CXResolutionEstimate.py
jbgastineau/cxphasing
a9847a0afb9a981d81f027e75c06c9bb2b531d33
[ "MIT" ]
3
2018-05-11T16:05:55.000Z
2021-12-20T08:52:02.000Z
cxphasing/CXResolutionEstimate.py
jbgastineau/cxphasing
a9847a0afb9a981d81f027e75c06c9bb2b531d33
[ "MIT" ]
null
null
null
cxphasing/CXResolutionEstimate.py
jbgastineau/cxphasing
a9847a0afb9a981d81f027e75c06c9bb2b531d33
[ "MIT" ]
2
2018-11-14T08:57:10.000Z
2021-12-20T08:52:06.000Z
""" .. module:: CXResolutionEstimate.py :platform: Unix :synopsis: A class for predicting the resolution of a ptychography measurement. .. moduleauthor:: David Vine <djvine@gmail.com> """ import requests import pdb import scipy as sp import numpy as np import scipy.fftpack as spf from pylab import * class Hen...
27.011811
126
0.69538
1,028
6,861
4.5
0.262646
0.025292
0.006485
0.003891
0.118461
0.052745
0.04626
0.030264
0.016429
0.016429
0
0.031162
0.167468
6,861
253
127
27.118577
0.778711
0.415683
0
0.161017
0
0
0.076405
0
0
0
0
0
0
1
0.09322
false
0.008475
0.050847
0.016949
0.20339
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
2849b9c3dc25b3aa339fd03d7bee0279359be673
1,129
py
Python
Analysis/views_in_dow.py
harrisonxia/Lil-Data
204467aa740bef10d865925508d7cf007cac19b3
[ "MIT" ]
5
2018-11-14T03:31:13.000Z
2022-01-12T04:20:16.000Z
Analysis/views_in_dow.py
harrisonxia/Lil-Data
204467aa740bef10d865925508d7cf007cac19b3
[ "MIT" ]
null
null
null
Analysis/views_in_dow.py
harrisonxia/Lil-Data
204467aa740bef10d865925508d7cf007cac19b3
[ "MIT" ]
null
null
null
import sys from pyspark.sql import SparkSession, functions, types from pyspark.sql.functions import date_format import json def views_in_dow(): data_stream = spark.read.json('stream_cleanned') data_channel = spark.read.json('channel_cleanned') data_stream.createOrReplaceTempView('data_s') data_c...
35.28125
154
0.723649
145
1,129
5.310345
0.427586
0.090909
0.051948
0.049351
0
0
0
0
0
0
0
0.001064
0.167405
1,129
31
155
36.419355
0.818085
0.090345
0
0
0
0
0.166851
0
0
0
0
0
0
1
0.055556
false
0
0.222222
0
0.277778
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
284e0e3fc7904eb4e425103fc8997d9f8ee44f17
1,593
py
Python
cogs/rng.py
Ana-gram/Amanager
5ceef312125b1c73dea59d37f8f06e22293c8960
[ "Apache-2.0" ]
12
2021-04-23T18:10:24.000Z
2021-05-03T13:08:54.000Z
cogs/rng.py
Ana-gram/Amanager
5ceef312125b1c73dea59d37f8f06e22293c8960
[ "Apache-2.0" ]
3
2021-04-04T17:47:02.000Z
2021-11-20T10:59:46.000Z
cogs/rng.py
Margana314/Amanager
87e241d942ca07f3ed8dfc5e1aebfde6f58bbdac
[ "Apache-2.0" ]
3
2021-04-30T11:07:28.000Z
2021-05-01T11:35:27.000Z
import discord, random from discord.ext import commands from discord_slash import cog_ext from discord_slash.utils.manage_commands import create_option class Slash(commands.Cog): def __init__(self, bot): self.bot = bot @cog_ext.cog_slash(name="rng", description="Générer un nombre aléatoire !", options...
40.846154
190
0.603264
205
1,593
4.556098
0.414634
0.034261
0.038544
0.040685
0.111349
0.062099
0.062099
0
0
0
0
0.035651
0.295669
1,593
39
191
40.846154
0.796791
0
0
0.171429
0
0.057143
0.265997
0
0
0
0
0
0
1
0.085714
false
0
0.114286
0
0.228571
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
284ed97a6e7a6cca5b8e4fac818f272a6b8ee59d
1,538
py
Python
app.py
dodoche/essaie
53d22cfec969a8f992f4b5cb473bb41a215975b6
[ "Apache-2.0" ]
null
null
null
app.py
dodoche/essaie
53d22cfec969a8f992f4b5cb473bb41a215975b6
[ "Apache-2.0" ]
null
null
null
app.py
dodoche/essaie
53d22cfec969a8f992f4b5cb473bb41a215975b6
[ "Apache-2.0" ]
null
null
null
from flask import Flask from kubernetes.client.rest import ApiException from pprint import pprint from kubernetes import client, config app = Flask(__name__) @app.route("/ing") def ing(): # Configure API key authorization: BearerToken configuration = kubernetes.client.Configuration() configuration.api_key...
48.0625
171
0.727568
202
1,538
5.405941
0.514851
0.021978
0.034799
0.049451
0.07326
0.07326
0.07326
0.07326
0
0
0
0.016653
0.180104
1,538
31
172
49.612903
0.849326
0.382965
0
0
0
0
0.210638
0.08617
0
0
0
0
0
1
0.043478
false
0
0.173913
0
0.26087
0.086957
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
285632d72a4a6ee14ee3a1b9a5965b712d109e62
10,286
py
Python
experiments/utils.py
linshaoxin-maker/taas
34e11fab167a7beb78fbe6991ff8721dc9208793
[ "MIT" ]
4
2021-02-28T11:58:18.000Z
2022-02-03T03:26:45.000Z
experiments/utils.py
linshaoxin-maker/taas
34e11fab167a7beb78fbe6991ff8721dc9208793
[ "MIT" ]
null
null
null
experiments/utils.py
linshaoxin-maker/taas
34e11fab167a7beb78fbe6991ff8721dc9208793
[ "MIT" ]
null
null
null
import torch import os import subprocess as sp from mlutils.pt.training import TrainerBatch from mlutils.callbacks import Callback from os import path import numpy as np import json class WeightedSum: def __init__(self, name, init, postprocessing=None): self.name = name self.v = init self....
33.504886
119
0.586914
1,358
10,286
4.286451
0.196613
0.031266
0.022677
0.008246
0.145679
0.099639
0.073183
0.021302
0.008246
0
0
0.007711
0.281353
10,286
306
120
33.614379
0.779762
0.088859
0
0.111607
0
0
0.091027
0.002801
0
0
0
0
0.026786
1
0.125
false
0
0.0625
0.03125
0.303571
0.008929
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
28573be47f861d148cdbe92b563ea159f2c46f16
1,964
py
Python
libretto/plugin/__init__.py
johnwcchau/libretto
8b8cde81a978536f1c797e070818188bd2c006e5
[ "MIT" ]
null
null
null
libretto/plugin/__init__.py
johnwcchau/libretto
8b8cde81a978536f1c797e070818188bd2c006e5
[ "MIT" ]
null
null
null
libretto/plugin/__init__.py
johnwcchau/libretto
8b8cde81a978536f1c797e070818188bd2c006e5
[ "MIT" ]
null
null
null
import logging from configparser import ConfigParser from typing import Callable __plugins = {} def plugin_disabled(config, path): name = '.'.join(path.replace('/', '.').replace('\\', '.').split('.')[:-2]) return config.getboolean(name, "disabled", fallback=False) def plugin_mjs(config): from glob impor...
32.733333
82
0.588595
229
1,964
4.847162
0.340611
0.05045
0.054054
0.064865
0.181982
0.113514
0.113514
0
0
0
0
0.00336
0.242363
1,964
60
83
32.733333
0.742608
0
0
0.254902
0
0.019608
0.207634
0.072265
0
0
0
0
0
1
0.098039
false
0
0.196078
0
0.333333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
2858823061844e57eb3d0e1bf225fe8863fd7485
30,325
py
Python
cax/tasks/tsm_mover.py
XENON1T/cax
06de9290851904695275fd34d7c74e2c9eb7fe59
[ "0BSD" ]
2
2016-05-19T05:51:15.000Z
2017-10-13T13:43:00.000Z
cax/tasks/tsm_mover.py
XENON1T/cax
06de9290851904695275fd34d7c74e2c9eb7fe59
[ "0BSD" ]
93
2016-03-26T20:34:01.000Z
2021-03-25T21:41:57.000Z
cax/tasks/tsm_mover.py
XENON1T/cax
06de9290851904695275fd34d7c74e2c9eb7fe59
[ "0BSD" ]
2
2017-05-19T03:47:09.000Z
2018-12-19T18:10:45.000Z
"""Handle copying data between sites. tsm_mover.py contains the necessary classes to upload and download from tape backup and syncronize it with the runDB. Author: Boris Bauermeister Email: Boris.Bauermeister@fysik.su.se """ import datetime import logging import os import time import hashlib import ...
38.679847
142
0.54526
3,523
30,325
4.453591
0.121771
0.014978
0.027342
0.017527
0.346845
0.264818
0.209815
0.188783
0.173805
0.161759
0
0.011856
0.329695
30,325
783
143
38.729246
0.760024
0.068096
0
0.173989
0
0.001757
0.189507
0.030143
0
0
0
0
0
1
0.043937
false
0.005272
0.045694
0.001757
0.13884
0.02109
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
285ae74b0cd6ba7b852c770105e6b5d4523be1ae
5,310
py
Python
leetcode_python/Sort/wiggle-sort-ii.py
yennanliu/Python_basics
6a597442d39468295946cefbfb11d08f61424dc3
[ "Unlicense" ]
18
2019-08-01T07:45:02.000Z
2022-03-31T18:05:44.000Z
leetcode_python/Sort/wiggle-sort-ii.py
yennanliu/Python_basics
6a597442d39468295946cefbfb11d08f61424dc3
[ "Unlicense" ]
null
null
null
leetcode_python/Sort/wiggle-sort-ii.py
yennanliu/Python_basics
6a597442d39468295946cefbfb11d08f61424dc3
[ "Unlicense" ]
15
2019-12-29T08:46:20.000Z
2022-03-08T14:14:05.000Z
# V0 # V1 # https://www.hrwhisper.me/leetcode-wiggle-sort-ii/ class Solution(object): def wiggleSort(self, nums): """ :type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead. """ temp = sorted(nums) s, t = (len(nums) + 1) >> 1, len(n...
34.038462
103
0.468927
690
5,310
3.531884
0.181159
0.065654
0.063192
0.032007
0.386951
0.281904
0.238818
0.201888
0.201888
0.173984
0
0.030731
0.399435
5,310
156
104
34.038462
0.733459
0.184181
0
0.22
0
0
0
0
0
0
0
0
0
1
0.11
false
0
0.01
0.02
0.26
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
285af3b4261da560e2b691c6b8e6dc0c7a368402
517
py
Python
model/Rules/ZigZag.py
GigliOneiric/ElliotWave
5d0fc166530a57132dce4e4c00ecb33cb8101aaa
[ "Apache-2.0" ]
null
null
null
model/Rules/ZigZag.py
GigliOneiric/ElliotWave
5d0fc166530a57132dce4e4c00ecb33cb8101aaa
[ "Apache-2.0" ]
null
null
null
model/Rules/ZigZag.py
GigliOneiric/ElliotWave
5d0fc166530a57132dce4e4c00ecb33cb8101aaa
[ "Apache-2.0" ]
null
null
null
import config.Text class ZigZag: def __init__(self, name: str): self._name = name @property def name(self): return self._name @property def conditions(self): conditions = { 'wa_b': { config.Text.waves: ['waveA', 'waveB'], config...
21.541667
97
0.54352
56
517
4.857143
0.482143
0.147059
0.110294
0
0
0
0
0
0
0
0
0
0.355899
517
23
98
22.478261
0.816817
0
0
0.117647
0
0
0.081238
0
0
0
0
0
0
1
0.176471
false
0
0.058824
0.058824
0.411765
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
285f254edbac663963266cf598f4a69429de61bf
4,153
py
Python
pyautomailer/command_line.py
matteocappello94/pyautomailer
933c23426d00d32543da3af03fe67a7e8fa38247
[ "MIT" ]
null
null
null
pyautomailer/command_line.py
matteocappello94/pyautomailer
933c23426d00d32543da3af03fe67a7e8fa38247
[ "MIT" ]
2
2018-08-08T07:51:14.000Z
2018-08-10T14:35:32.000Z
pyautomailer/command_line.py
matteocappello94/pyautomailer
933c23426d00d32543da3af03fe67a7e8fa38247
[ "MIT" ]
null
null
null
import argparse import sys import logging as log from pyautomailer import PyAutoMailer, PyAutoMailerMode def main(): parser = parse_args(sys.argv[1:]) # Auto mailer init. am = PyAutoMailer(parser.sender, parser.host, parser.port, parser.use...
36.752212
79
0.575969
472
4,153
4.938559
0.275424
0.066066
0.051909
0.0429
0.12441
0.06864
0
0
0
0
0
0.000349
0.309896
4,153
112
80
37.080357
0.81298
0.073441
0
0
0
0
0.188837
0
0
0
0
0
0
1
0.072289
false
0.036145
0.048193
0
0.144578
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
286006999e3a7c33bbad8b78611b5c41448309f0
4,324
py
Python
examples/dvrl_asr/dvrl_asr_finetuning.py
SeunghyunSEO/seosh_fairseq
443b2a8effb6b8fba5758989076cf992470ccb62
[ "MIT" ]
null
null
null
examples/dvrl_asr/dvrl_asr_finetuning.py
SeunghyunSEO/seosh_fairseq
443b2a8effb6b8fba5758989076cf992470ccb62
[ "MIT" ]
2
2022-02-22T08:28:06.000Z
2022-02-22T09:26:26.000Z
examples/dvrl_asr/dvrl_asr_finetuning.py
SeunghyunSEO/seosh_fairseq
443b2a8effb6b8fba5758989076cf992470ccb62
[ "MIT" ]
null
null
null
# Copyright (c) 2017-present, Facebook, Inc. # All rights reserved. # # This source code is licensed under the license found in the LICENSE file in # the root directory of this source tree. An additional grant of patent rights # can be found in the PATENTS file in the same directory. import logging import os import to...
36.336134
132
0.698196
503
4,324
5.729622
0.33996
0.046842
0.024983
0.029146
0.204719
0.139486
0.112422
0.06662
0.034004
0.034004
0
0.002697
0.228261
4,324
118
133
36.644068
0.860953
0.126272
0
0.077778
0
0
0.045974
0.011959
0
0
0
0
0
1
0.055556
false
0
0.2
0
0.4
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
286032d47c652ffe5a80685b84caa53cf8ed1a03
2,727
py
Python
opensource/opencv/write_to_video.py
marciojv/hacks-cognitives-plataforms
5b43f52d6afde4ad2768ad5b85e376578e2c9b2f
[ "Apache-2.0" ]
1
2021-05-14T18:43:51.000Z
2021-05-14T18:43:51.000Z
opensource/opencv/write_to_video.py
marciojv/hacks-cognitives-plataforms
5b43f52d6afde4ad2768ad5b85e376578e2c9b2f
[ "Apache-2.0" ]
null
null
null
opensource/opencv/write_to_video.py
marciojv/hacks-cognitives-plataforms
5b43f52d6afde4ad2768ad5b85e376578e2c9b2f
[ "Apache-2.0" ]
9
2019-02-04T22:08:08.000Z
2021-07-17T12:12:12.000Z
# para executar # python write_to_video.py --output example.avi # ou # python write_to_video.py --output example.avi --picamera 1 # python -m pip install imutils from __future__ import print_function from imutils.video import VideoStream import numpy as np import argparse import imutils import time import cv2 #https:...
27.826531
71
0.69527
442
2,727
4.255656
0.377828
0.025518
0.027645
0.019139
0.038278
0.038278
0.038278
0.038278
0
0
0
0.022056
0.168684
2,727
97
72
28.113402
0.807675
0.393473
0
0
0
0
0.155172
0
0
0
0.002463
0
0
1
0
false
0
0.137255
0
0.137255
0.058824
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
2860ad63802d9b4247cfc5b4ea2a3cd53137c044
3,973
py
Python
src/anaplan_api/Upload.py
pieter-pot/anaplan-api
1b099cb102f98b114afa0794a40aaf0de19956c1
[ "BSD-2-Clause" ]
null
null
null
src/anaplan_api/Upload.py
pieter-pot/anaplan-api
1b099cb102f98b114afa0794a40aaf0de19956c1
[ "BSD-2-Clause" ]
null
null
null
src/anaplan_api/Upload.py
pieter-pot/anaplan-api
1b099cb102f98b114afa0794a40aaf0de19956c1
[ "BSD-2-Clause" ]
null
null
null
# =============================================================================== # Created: 1 Nov 2021 # @author: Jesse Wilson (Anaplan Asia Pte Ltd) # Description: Abstract Anaplan Authentication Class # Input: Username & Password, or SHA keypair # Output: Anaplan JWT and token expiry time # ================...
29.87218
106
0.686383
512
3,973
5.224609
0.265625
0.020935
0.026168
0.028411
0.552523
0.48785
0.403364
0.381682
0.311028
0.311028
0
0.00489
0.176441
3,973
132
107
30.098485
0.812653
0.433929
0
0.245614
0
0
0.166979
0.011257
0
0
0
0
0
1
0.122807
false
0.017544
0.070175
0
0.350877
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
28631cb627e7dcbf9512e0e9d35ed83e8378693a
427
py
Python
startPWM.py
adeept/adeept_alter
6adf00eb141405fc3abad44965f81ba7797dd962
[ "MIT" ]
1
2021-12-21T15:50:57.000Z
2021-12-21T15:50:57.000Z
startPWM.py
adeept/adeept_alter
6adf00eb141405fc3abad44965f81ba7797dd962
[ "MIT" ]
2
2021-03-14T22:05:42.000Z
2021-07-19T22:13:37.000Z
startPWM.py
adeept/adeept_alter
6adf00eb141405fc3abad44965f81ba7797dd962
[ "MIT" ]
null
null
null
import Adafruit_PCA9685 pwm = Adafruit_PCA9685.PCA9685() pwm.set_pwm_freq(50) initPWM = 320 setPWM = initPWM ctrlPort = 11 def main(): global setPWM while 1: commandInput = input() if commandInput == 'w': setPWM += 1 elif commandInput == 's': setPWM -= 1 pwm.set_pwm(ctrlPort, 0,...
16.423077
35
0.651054
54
427
5.037037
0.518519
0.066176
0.099265
0.125
0.132353
0
0
0
0
0
0
0.073846
0.238876
427
26
36
16.423077
0.763077
0
0
0
0
0
0.004963
0
0
0
0
0
0
1
0.05
false
0
0.05
0
0.1
0.05
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
28658c7c561044400a64c09359dccf6abba3fb8e
2,042
py
Python
get_tracks.py
RamonPuon/Spotipy-Valence-Analysis
05f48e068097839d3dbd47d06f69608e48d1ac16
[ "MIT" ]
null
null
null
get_tracks.py
RamonPuon/Spotipy-Valence-Analysis
05f48e068097839d3dbd47d06f69608e48d1ac16
[ "MIT" ]
null
null
null
get_tracks.py
RamonPuon/Spotipy-Valence-Analysis
05f48e068097839d3dbd47d06f69608e48d1ac16
[ "MIT" ]
null
null
null
#cred.py, python script with my client ID and my client secret import cred import spotipy from spotipy.oauth2 import SpotifyClientCredentials import pandas as pd client_credential_manager = SpotifyClientCredentials(client_id= cred.client_ID, client_secret= cred.client_SECRET) sp = spotipy.Spotify(client_credentials_ma...
39.269231
114
0.644466
264
2,042
4.80303
0.359848
0.031546
0.055205
0.031546
0.217666
0.181388
0.134069
0.088328
0.088328
0.088328
0
0.010198
0.231636
2,042
51
115
40.039216
0.79796
0.123898
0
0
0
0
0.112108
0.012332
0
0
0
0
0
1
0.058824
false
0
0.117647
0
0.235294
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
286a9f1d8d066c57291a41e5d9d48a731a2d4a0c
541
py
Python
templates/django/djangoRest/app_dir/user/test/test_user_views.py
david-osas/create-basic-app
860fc579672855093ad8426fb01d010de4c7cff8
[ "MIT" ]
2
2020-12-01T11:33:36.000Z
2020-12-01T12:25:49.000Z
django-rest-framework-boilerplate/app_dir/user/test/test_user_views.py
PiotrZak/lem-golem
78f91f21b19725fca99c05d8c536330ef2785064
[ "MIT" ]
2
2020-11-25T14:38:57.000Z
2020-11-25T22:55:25.000Z
templates/django/djangoRest/app_dir/user/test/test_user_views.py
david-osas/create-basic-app
860fc579672855093ad8426fb01d010de4c7cff8
[ "MIT" ]
2
2020-11-26T08:59:50.000Z
2021-03-30T20:01:06.000Z
from django.test import TestCase from django.urls import reverse from rest_framework.test import APIClient from ...factories import UserFactory class UserViewTest(TestCase): def setUp(self): self.client = APIClient() self.user = UserFactory() self.client.force_authenticate(user=self.user) ...
28.473684
54
0.698706
66
541
5.636364
0.469697
0.080645
0
0
0
0
0
0
0
0
0
0.006961
0.203327
541
18
55
30.055556
0.856148
0
0
0
0
0
0.018484
0
0
0
0
0
0.071429
1
0.142857
false
0
0.285714
0
0.5
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
286dae799942d25528e620a011ce5d17032d1ce7
2,336
py
Python
deep-learning-lab-00/binlogreg.py
BalderOdinson/Deep-Learning-Lab
70786ff1be40fc829d64a644585c1d5683c76538
[ "MIT" ]
null
null
null
deep-learning-lab-00/binlogreg.py
BalderOdinson/Deep-Learning-Lab
70786ff1be40fc829d64a644585c1d5683c76538
[ "MIT" ]
null
null
null
deep-learning-lab-00/binlogreg.py
BalderOdinson/Deep-Learning-Lab
70786ff1be40fc829d64a644585c1d5683c76538
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """ Created on Mon Mar 18 18:38:38 2019 @author: Oshikuru """ import numpy as np import matplotlib.pyplot as plt import random import data import pdb import IPython param_delta = 0.5 param_niter = 100 param_lambda = 0.01 def binlogreg_classify(X, w, b): scores = np.dot(X, w) + b ret...
24.851064
141
0.610445
366
2,336
3.748634
0.371585
0.01312
0.010933
0.041545
0.135569
0.091837
0.048105
0.023324
0
0
0
0.037693
0.250428
2,336
94
142
24.851064
0.74586
0.26113
0
0.046512
0
0
0.017365
0
0
0
0
0
0
1
0.046512
false
0
0.139535
0
0.232558
0.046512
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
286e9cde8312920eabbf75c1a2872023f23ceb28
778
py
Python
LintCode/1103.py
RENHANFEI/LintCode
d572dee248ba4c2a95b52cd737d76c7297f4e7b4
[ "CNRI-Python" ]
null
null
null
LintCode/1103.py
RENHANFEI/LintCode
d572dee248ba4c2a95b52cd737d76c7297f4e7b4
[ "CNRI-Python" ]
null
null
null
LintCode/1103.py
RENHANFEI/LintCode
d572dee248ba4c2a95b52cd737d76c7297f4e7b4
[ "CNRI-Python" ]
null
null
null
from collections import Counter class Solution: """ @param nums: a list of integers @return: return a boolean """ def isPossible(self, nums): left = Counter(nums) # record nums not placed end = Counter() # record subsequences ended with certain num for num in ...
25.933333
71
0.417738
83
778
3.915663
0.457831
0.129231
0.073846
0.049231
0
0
0
0
0
0
0
0.033163
0.496144
778
29
72
26.827586
0.795918
0.159383
0
0
0
0
0
0
0
0
0
0
0
1
0.052632
false
0
0.052632
0
0.263158
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
2870b3250a7dca1e04fe54265450ad0c248653be
6,745
py
Python
test/lib/mayaUsd/render/vp2RenderDelegate/testVP2RenderDelegatePointInstanceSelection.py
ika-rporter/maya-usd
8f216a4fb955fc44c0abda55caa53ed295aaa625
[ "Apache-2.0" ]
507
2019-07-30T20:05:10.000Z
2022-03-30T07:38:43.000Z
test/lib/mayaUsd/render/vp2RenderDelegate/testVP2RenderDelegatePointInstanceSelection.py
ika-rporter/maya-usd
8f216a4fb955fc44c0abda55caa53ed295aaa625
[ "Apache-2.0" ]
1,188
2019-07-31T11:27:27.000Z
2022-03-31T21:06:06.000Z
test/lib/mayaUsd/render/vp2RenderDelegate/testVP2RenderDelegatePointInstanceSelection.py
ika-rporter/maya-usd
8f216a4fb955fc44c0abda55caa53ed295aaa625
[ "Apache-2.0" ]
165
2019-07-30T22:27:57.000Z
2022-03-25T07:20:23.000Z
#!/usr/bin/env mayapy # # Copyright 2021 Autodesk # # 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...
37.265193
100
0.697999
646
6,745
7.174923
0.374613
0.023301
0.031068
0.032362
0.281122
0.210356
0.198274
0.155124
0.142611
0.116289
0
0.009614
0.22891
6,745
180
101
37.472222
0.881561
0.219867
0
0.3
0
0
0.050873
0.024573
0
0
0
0
0.072727
1
0.081818
false
0
0.081818
0
0.2
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
2871778d5e8e5178dee6f9e80da7e8ac737d84a0
5,443
py
Python
cy_widgets/strategy/exchange/base.py
cragod/CYWidgets
b1df1e32c363ed9252737d3041a7557b1dc604fe
[ "MIT" ]
1
2021-06-17T02:25:25.000Z
2021-06-17T02:25:25.000Z
cy_widgets/strategy/exchange/base.py
cragod/CYWidgets
b1df1e32c363ed9252737d3041a7557b1dc604fe
[ "MIT" ]
null
null
null
cy_widgets/strategy/exchange/base.py
cragod/CYWidgets
b1df1e32c363ed9252737d3041a7557b1dc604fe
[ "MIT" ]
1
2021-12-08T06:50:33.000Z
2021-12-08T06:50:33.000Z
# -*- coding: utf-8 -*- import numpy as np import talib as ta from abc import ABC, abstractproperty, abstractclassmethod, abstractmethod class BaseExchangeStrategy(ABC): """交易策略基类""" shortable = True # 能否做空 leverage = 1 # 策略杠杆 def __init__(self, *initial_data, **kwargs): """支持按字典方式传入参数信息"""...
35.344156
165
0.533346
612
5,443
4.501634
0.271242
0.066788
0.094374
0.034846
0.405082
0.377495
0.377495
0.361525
0.351361
0.33902
0
0.032409
0.370751
5,443
153
166
35.575163
0.771971
0.182436
0
0.388235
0
0
0.018393
0.006286
0
0
0
0
0
1
0.105882
false
0
0.035294
0
0.2
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
2874251d928931a6c2a13448e5d757c4351cb292
2,163
py
Python
examples/quickstart.py
miketlk/omfgp
6e5a0f52f2688d81bde3e5169a37311c9517fe1d
[ "MIT" ]
null
null
null
examples/quickstart.py
miketlk/omfgp
6e5a0f52f2688d81bde3e5169a37311c9517fe1d
[ "MIT" ]
null
null
null
examples/quickstart.py
miketlk/omfgp
6e5a0f52f2688d81bde3e5169a37311c9517fe1d
[ "MIT" ]
1
2021-08-16T10:19:52.000Z
2021-08-16T10:19:52.000Z
import sys import omfgp as gp import time if gp.USES_USCARD: import uscard from machine import Pin def get_default_reader(): """Return default smart card reader.""" if gp.USES_USCARD: return uscard.Reader(name="Smart card reader", ifaceId=2, ...
32.283582
77
0.631993
299
2,163
4.371237
0.354515
0.053558
0.039786
0.058148
0.142311
0.142311
0.061209
0.061209
0
0
0
0.004353
0.256588
2,163
67
78
32.283582
0.808458
0.143782
0
0.045455
0
0
0.123085
0.014223
0
0
0
0
0
1
0.068182
false
0
0.113636
0
0.25
0.136364
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
28742e12e6739c290a95e278f025627ff9c82803
685
py
Python
basic/myunittest/test_timeit.py
fplust/python3-cookbook
0eaca2e3631bb69deaf466c32023bbb2093513da
[ "Apache-2.0" ]
1
2019-07-25T09:09:54.000Z
2019-07-25T09:09:54.000Z
basic/myunittest/test_timeit.py
fplust/python3-cookbook
0eaca2e3631bb69deaf466c32023bbb2093513da
[ "Apache-2.0" ]
null
null
null
basic/myunittest/test_timeit.py
fplust/python3-cookbook
0eaca2e3631bb69deaf466c32023bbb2093513da
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python # -*- encoding: utf-8 -*- """ Topic: 基准测试 Desc : """ from timeit import timeit __author__ = 'Xiong Neng' class Stock(): # 鼓励使用__slots__提升性能 __slots__ = ["name", "shares", "price"] def __init__(self, name, shares, price): self.name = name self.shares = shares...
17.125
58
0.563504
82
685
4.390244
0.536585
0.055556
0.083333
0
0
0
0
0
0
0
0
0.047619
0.264234
685
39
59
17.564103
0.666667
0.119708
0
0
0
0
0.201709
0
0
0
0
0
0
1
0.130435
false
0.043478
0.086957
0
0.304348
0.086957
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
28753e72046917448d518c1d4a909cdfe502ee60
7,276
py
Python
tectosaur2/hmatrix/tree.py
tbenthompson/BIE_tutorials
02cd56ab7e63e36afc4a10db17072076541aab77
[ "MIT" ]
15
2021-08-31T15:02:45.000Z
2022-02-11T21:10:01.000Z
tectosaur2/hmatrix/tree.py
tbenthompson/BIE_tutorials
02cd56ab7e63e36afc4a10db17072076541aab77
[ "MIT" ]
79
2021-08-29T15:35:39.000Z
2022-03-25T14:56:42.000Z
tectosaur2/hmatrix/tree.py
tbenthompson/BIE_tutorials
02cd56ab7e63e36afc4a10db17072076541aab77
[ "MIT" ]
3
2022-03-12T14:44:41.000Z
2022-03-21T20:43:20.000Z
from dataclasses import dataclass from typing import Optional import matplotlib.pyplot as plt import numpy as np @dataclass() class TreeNode: idx_start: int idx_end: int center: np.ndarray radius: float is_leaf: bool left: Optional["TreeNode"] right: Optional["TreeNode"] @dataclass() cl...
35.149758
94
0.665063
1,120
7,276
4.1375
0.23125
0.021148
0.01748
0.023306
0.255287
0.235218
0.169184
0.129909
0.099698
0.06107
0
0.007286
0.245465
7,276
206
95
35.320388
0.836794
0.325041
0
0.085271
0
0
0.006575
0
0
0
0
0
0
1
0.062016
false
0
0.031008
0.007752
0.302326
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
2875e4f861693b2c0256a550012c98712e49a11c
644
py
Python
2017/day2/corruptionChecksum.py
madeleine-adams/advent_of_code_2020
8f142a91d1a40390aad274c5e0513f50b168d029
[ "MIT" ]
null
null
null
2017/day2/corruptionChecksum.py
madeleine-adams/advent_of_code_2020
8f142a91d1a40390aad274c5e0513f50b168d029
[ "MIT" ]
null
null
null
2017/day2/corruptionChecksum.py
madeleine-adams/advent_of_code_2020
8f142a91d1a40390aad274c5e0513f50b168d029
[ "MIT" ]
null
null
null
file = open('corruptionChecksum_input.txt', 'r') spreadsheet = file.readlines() def find_smallest(inputs): smallest = int(inputs[0]) for value in inputs: number = int(value) if number < smallest: smallest = number return smallest def find_largest(inputs): largest = int(in...
20.774194
48
0.636646
75
644
5.4
0.373333
0.02963
0.049383
0.064198
0.237037
0.237037
0.237037
0.237037
0.237037
0.237037
0
0.006383
0.270186
644
30
49
21.466667
0.855319
0
0
0.173913
0
0
0.045031
0.043478
0
0
0
0
0
1
0.086957
false
0
0
0
0.173913
0.043478
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
287609c52314ac1d737c0937fa4d8b3058a4d68f
3,579
py
Python
neurst/cli/inspect_checkpoint.py
ishine/neurst
2ba322393fcfed4261b33f4a657e12bbe321baaa
[ "Apache-2.0" ]
208
2020-11-12T03:56:41.000Z
2022-03-27T07:01:27.000Z
neurst/cli/inspect_checkpoint.py
ishine/neurst
2ba322393fcfed4261b33f4a657e12bbe321baaa
[ "Apache-2.0" ]
16
2021-02-20T07:57:03.000Z
2022-01-27T07:36:31.000Z
neurst/cli/inspect_checkpoint.py
ishine/neurst
2ba322393fcfed4261b33f4a657e12bbe321baaa
[ "Apache-2.0" ]
33
2020-11-12T04:44:50.000Z
2022-03-23T09:22:29.000Z
# Copyright 2020 ByteDance Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writin...
41.137931
103
0.658843
465
3,579
4.851613
0.305376
0.046543
0.049645
0.037234
0.215869
0.152039
0.152039
0.134752
0.134752
0.134752
0
0.009304
0.249232
3,579
86
104
41.616279
0.830294
0.153954
0
0.181818
0
0
0.232581
0.060717
0
0
0
0
0
1
0.015152
false
0
0.075758
0
0.090909
0.318182
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
28762253888319609860c7b7288acdb032a74ac2
1,621
py
Python
homepage/migrations/0005_professor_test_data.py
oriAdler/ClassRater
a68492ea8eab1475ab604da9d6efc99c73954d4b
[ "MIT" ]
1
2021-04-12T18:05:12.000Z
2021-04-12T18:05:12.000Z
homepage/migrations/0005_professor_test_data.py
ellaml/ClassRater
d786f9fb4bb51041590e46165badf12a7beef67e
[ "MIT" ]
103
2021-03-09T07:12:20.000Z
2021-05-23T06:13:21.000Z
homepage/migrations/0005_professor_test_data.py
ellaml/ClassRater
d786f9fb4bb51041590e46165badf12a7beef67e
[ "MIT" ]
17
2021-03-09T07:07:44.000Z
2021-05-02T16:31:45.000Z
from django.db import migrations, transaction class Migration(migrations.Migration): dependencies = [ ('homepage', '0001_initial'), ('homepage', '0003_course_test_data'), ('homepage', '0004_followed_courses_test_data'), ] def generate_data(apps, schema_editor): ...
33.770833
76
0.595312
161
1,621
5.801242
0.403727
0.051392
0.068522
0.077088
0.173448
0.062099
0
0
0
0
0
0.050314
0.313387
1,621
47
77
34.489362
0.788859
0.120913
0
0
0
0
0.105608
0.037873
0
0
0
0
0
1
0.030303
false
0
0.121212
0
0.242424
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
2876482aeef7877b4183338fac2e85b74a0eaedf
1,220
py
Python
scripts/hsvanalyzer.py
acmerobotics/relic-recovery
4ff05bbf906829aef0a98bc32691e5d0eadc1d8f
[ "MIT" ]
32
2018-01-17T03:00:02.000Z
2022-01-15T18:30:48.000Z
scripts/hsvanalyzer.py
acmerobotics/relic-recovery
4ff05bbf906829aef0a98bc32691e5d0eadc1d8f
[ "MIT" ]
4
2017-10-21T20:28:27.000Z
2018-04-02T05:27:00.000Z
scripts/hsvanalyzer.py
acmerobotics/relic-recovery
4ff05bbf906829aef0a98bc32691e5d0eadc1d8f
[ "MIT" ]
7
2018-02-21T00:59:20.000Z
2021-01-21T21:52:17.000Z
import cv2 import numpy as np from matplotlib import pyplot as plt from util import resize_min_dim, smart_hsv_range IMAGE_FILENAME = '/Users/ryanbrott/Desktop/36.jpg' MIN_DIMENSION = 480 # LOWER_HSV, UPPER_HSV = (170, 80, 0), (7, 255, 255) LOWER_HSV, UPPER_HSV = (175, 80, 80), (22, 255, 255) image = cv2.imread(IMAGE_...
23.461538
76
0.705738
217
1,220
3.834101
0.35023
0.072115
0.079327
0.086538
0.110577
0.110577
0
0
0
0
0
0.074723
0.111475
1,220
51
77
23.921569
0.692804
0.040984
0
0
0
0
0.060788
0.026541
0
0
0
0
0
1
0
false
0
0.111111
0
0.111111
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
2878821e6aef46d6ef7a165e5a576c9bd3a04754
922
py
Python
GithubRepositoryStatistics-Python3/Repository.py
SmileZXLee/GithubRepositoryStatistics
62eeddd715aecf268c48b39aa596f1168a3c2661
[ "MIT" ]
1
2020-07-15T14:12:53.000Z
2020-07-15T14:12:53.000Z
GithubRepositoryStatistics-Python3/Repository.py
SmileZXLee/GithubRepositoryStatistics
62eeddd715aecf268c48b39aa596f1168a3c2661
[ "MIT" ]
null
null
null
GithubRepositoryStatistics-Python3/Repository.py
SmileZXLee/GithubRepositoryStatistics
62eeddd715aecf268c48b39aa596f1168a3c2661
[ "MIT" ]
null
null
null
#coding=utf-8 __author__ = 'zxlee' __github__ = 'https://github.com/SmileZXLee/GithubRepositoryStatistics' class Repository : def __init__(self,brief,url,language,star_count,fork_count,star_url,fork_url,is_fork): #仓库介绍 self.brief = brief.replace('\r','').replace('\n','').replace('\t','').strip() #仓库url ...
26.342857
87
0.627983
117
922
4.649573
0.367521
0.115809
0.095588
0.051471
0.128676
0
0
0
0
0
0
0.005579
0.222343
922
34
88
27.117647
0.753138
0.08243
0
0.095238
0
0
0.095923
0
0
0
0
0
0
1
0.047619
false
0
0
0
0.095238
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
287c433b713a1b08f3c14e17afb0adcebbc1cab6
3,242
py
Python
src/www/__init__.py
jbrezmorf/codecritic
190df65f2f12667469b55abed48a45de5dc18965
[ "MIT" ]
null
null
null
src/www/__init__.py
jbrezmorf/codecritic
190df65f2f12667469b55abed48a45de5dc18965
[ "MIT" ]
20
2019-05-26T12:13:19.000Z
2020-09-09T16:37:09.000Z
src/www/__init__.py
jbrezmorf/codecritic
190df65f2f12667469b55abed48a45de5dc18965
[ "MIT" ]
1
2020-04-13T09:02:48.000Z
2020-04-13T09:02:48.000Z
#!/bin/python3 # author: Jan Hybs import enum import pathlib from bson import objectid from flask import Flask, redirect, session, render_template, url_for import flask.json from flask_cors import CORS from loguru import logger from entities.crates import ICrate from env import Env from functools import wraps def ...
25.936
82
0.612585
381
3,242
5.091864
0.341207
0.021649
0.03866
0.015464
0.163402
0.163402
0.135567
0.135567
0.116495
0.070103
0
0.001717
0.281616
3,242
124
83
26.145161
0.831258
0.165022
0
0.298701
0
0
0.046486
0
0
0
0
0
0
1
0.12987
false
0
0.168831
0.012987
0.584416
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
287d78c0342acb7571ce49d00f17612456b0c4a2
18,740
py
Python
pages/getAltData.py
ngocuong0105/ts_webapp
4399862ead6eb2d0c993d36fffe14967984ad4b2
[ "MIT" ]
null
null
null
pages/getAltData.py
ngocuong0105/ts_webapp
4399862ead6eb2d0c993d36fffe14967984ad4b2
[ "MIT" ]
null
null
null
pages/getAltData.py
ngocuong0105/ts_webapp
4399862ead6eb2d0c993d36fffe14967984ad4b2
[ "MIT" ]
null
null
null
import base64 from collections import deque from io import BytesIO import os import time from PIL import Image import pandas as pd from pandas.core.arrays import boolean import praw import requests import streamlit as st import datetime import pytesseract pytesseract.pytesseract.tesseract_cmd ='context/tesseract' impo...
44.513064
143
0.596265
2,293
18,740
4.708242
0.169647
0.015006
0.023342
0.013338
0.373379
0.361708
0.318729
0.271397
0.245924
0.2387
0
0.009618
0.295411
18,740
421
144
44.513064
0.80771
0.097652
0
0.271028
0
0.015576
0.147579
0.015496
0
0
0
0
0
1
0.043614
false
0.034268
0.049844
0
0.133956
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
287e24f0cb26f8666ac36c1761cfbf6bd7afe7ac
252
py
Python
PythonFiles/classes2.py
IamVaibhavsar/Python_Files
283d73929a3e11955c71499407c4f8bff56e4273
[ "MIT" ]
null
null
null
PythonFiles/classes2.py
IamVaibhavsar/Python_Files
283d73929a3e11955c71499407c4f8bff56e4273
[ "MIT" ]
null
null
null
PythonFiles/classes2.py
IamVaibhavsar/Python_Files
283d73929a3e11955c71499407c4f8bff56e4273
[ "MIT" ]
1
2019-07-26T15:25:21.000Z
2019-07-26T15:25:21.000Z
class Student: def __init__(self,name,major,gpa): self.name=name self.major=major self.gpa=gpa def on_honor_roll (self): if self.gpa>=8.5: return True else: return False
22.909091
39
0.519841
32
252
3.90625
0.5625
0.128
0
0
0
0
0
0
0
0
0
0.013072
0.392857
252
11
40
22.909091
0.803922
0
0
0
0
0
0
0
0
0
0
0
0
1
0.2
false
0
0
0
0.5
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
28815fa52327ea951a0284d87cd467c55924b39e
761
py
Python
540. Single Element in a Sorted Array.py
Into-Y0u/Github-Baby
5e4e6b02f49c2c99533289be9d49911006cad919
[ "MIT" ]
2
2022-01-25T04:30:26.000Z
2022-01-25T10:36:15.000Z
540. Single Element in a Sorted Array.py
Into-Y0u/Leetcode-Baby
681ad4df01ee908f76d888aa4ccc10f04c03c56f
[ "MIT" ]
null
null
null
540. Single Element in a Sorted Array.py
Into-Y0u/Leetcode-Baby
681ad4df01ee908f76d888aa4ccc10f04c03c56f
[ "MIT" ]
null
null
null
class Solution: def singleNonDuplicate(self, nums: List[int]) -> int: if len(nums) == 1: return nums[0] start = 0 end = len(nums) - 1 while start <= end: mid = start + ((end - start) // 2) # Check if mid is the single number if start < ...
34.590909
90
0.442838
93
761
3.623656
0.354839
0.145401
0.097923
0.077151
0.163205
0
0
0
0
0
0
0.0311
0.450723
761
21
91
36.238095
0.77512
0.13929
0
0.111111
0
0
0
0
0
0
0
0
0
1
0.055556
false
0
0
0
0.277778
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
2881d51b1365029af80a4c7b248cb3bb598a7958
3,466
py
Python
frispy/throw_data.py
carrino/FrisPy
db9e59f465ee25d1c037d580c37da8f35b930b50
[ "MIT" ]
null
null
null
frispy/throw_data.py
carrino/FrisPy
db9e59f465ee25d1c037d580c37da8f35b930b50
[ "MIT" ]
null
null
null
frispy/throw_data.py
carrino/FrisPy
db9e59f465ee25d1c037d580c37da8f35b930b50
[ "MIT" ]
null
null
null
# Copyright (c) 2021 John Carrino import struct from dataclasses import dataclass import numpy as np from scipy.spatial.transform import Rotation @dataclass class ThrowData: NUM_POINTS = 2000 SENSORS_GRAVITY_STANDARD = 9.80665 SENSORS_DPS_TO_RADS = 0.017453293 OUTPUT_SCALE_FACTOR_400G = (SENSORS_GRAVI...
35.731959
124
0.638777
400
3,466
5.435
0.2675
0.035419
0.054738
0.025299
0.283349
0.23827
0.218951
0.188592
0.188592
0.188592
0
0.036595
0.25101
3,466
96
125
36.104167
0.800847
0.008944
0
0.1625
0
0
0.003205
0
0
0
0
0
0
1
0.0875
false
0
0.05
0
0.425
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
288275f551eb96263ac0a6a9893bc8305effff9d
7,754
py
Python
test/test_hankelutils.py
hlatkydavid/vnmrjpy
48707a1000dc87e646e37c8bd686e695bd31a61e
[ "MIT" ]
null
null
null
test/test_hankelutils.py
hlatkydavid/vnmrjpy
48707a1000dc87e646e37c8bd686e695bd31a61e
[ "MIT" ]
null
null
null
test/test_hankelutils.py
hlatkydavid/vnmrjpy
48707a1000dc87e646e37c8bd686e695bd31a61e
[ "MIT" ]
null
null
null
import unittest import vnmrjpy as vj import numpy as np import matplotlib.pyplot as plt import time #import cupy as cp RP={'rcvrs':4,'filter_size':(11,7),'virtualcoilboost':False} PLOTTING = False class Test_hankelutils(unittest.TestCase): def test_lvl2_hankel_average(self): #rp={'rcvrs':4,'filter_s...
39.969072
79
0.596595
1,042
7,754
4.314779
0.119962
0.044484
0.032028
0.05605
0.741103
0.686165
0.615436
0.597865
0.572286
0.559164
0
0.069173
0.22814
7,754
193
80
40.176166
0.682038
0.049007
0
0.442748
0
0
0.159994
0
0
0
0
0
0.114504
1
0.053435
false
0
0.038168
0
0.099237
0.061069
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
28878c846aed485a7bc9a73365300409e1defb8b
672
py
Python
leetcode/editor/cn/FindKPairsWithSmallestSums.py
huangge1199/leet-code-python
5d01bbb6f12a495ea7ea0a90b5b3b4aa92bcc2f7
[ "Apache-2.0" ]
1
2022-02-12T13:55:41.000Z
2022-02-12T13:55:41.000Z
leetcode/editor/cn/FindKPairsWithSmallestSums.py
huangge1199/leet-code-python
5d01bbb6f12a495ea7ea0a90b5b3b4aa92bcc2f7
[ "Apache-2.0" ]
null
null
null
leetcode/editor/cn/FindKPairsWithSmallestSums.py
huangge1199/leet-code-python
5d01bbb6f12a495ea7ea0a90b5b3b4aa92bcc2f7
[ "Apache-2.0" ]
null
null
null
# 373:查找和最小的 K 对数字 # leetcode submit region begin(Prohibit modification and deletion) from heapq import heappop, heappush from typing import List class Solution: def kSmallestPairs(self, nums1: List[int], nums2: List[int], k: int) -> List[List[int]]: m, n = len(nums1), len(nums2) ans = [] ...
33.6
92
0.578869
98
672
3.959184
0.459184
0.054124
0.085052
0.159794
0
0
0
0
0
0
0
0.037422
0.284226
672
19
93
35.368421
0.769231
0.214286
0
0
0
0
0
0
0
0
0
0
0
1
0.076923
false
0
0.153846
0
0.384615
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
288bed12c190fb35b526a110b53eefe990c1f7a5
2,505
py
Python
urls.py
Shakil-1501/Quizdjango
5e201d0f05ce2a49d36484009ff6032821365bc6
[ "MIT" ]
null
null
null
urls.py
Shakil-1501/Quizdjango
5e201d0f05ce2a49d36484009ff6032821365bc6
[ "MIT" ]
null
null
null
urls.py
Shakil-1501/Quizdjango
5e201d0f05ce2a49d36484009ff6032821365bc6
[ "MIT" ]
null
null
null
# Core Django imports. from django.urls import path from django.shortcuts import redirect, render # LMS app imports from lms.views.course.course_views import ( CourseListView,fetch_questions,compute_stats,display_lp,Edit_quiz,preview_quiz,fetch_questions_oneatatime,compute_html,enter_comment,quiz_lp ) ...
22.567568
145
0.621956
267
2,505
5.651685
0.247191
0.037111
0.046388
0.037773
0.037111
0
0
0
0
0
0
0.003202
0.251896
2,505
110
146
22.772727
0.802028
0.113373
0
0.196721
0
0
0.187769
0.05829
0
0
0
0
0
1
0
false
0
0.114754
0
0.114754
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
2893612d9bb5f812e7e498a10ba625355b7d1dee
1,794
py
Python
clientV4.py
sekranmert/AWS-Arduino-SmartHomeSystem
80f4b6a5871fccb3bfc065d3fac5ba09feec525a
[ "MIT" ]
1
2021-06-24T14:24:39.000Z
2021-06-24T14:24:39.000Z
clientV4.py
sekranmert/AWS-Arduino-SmartHomeSystem
80f4b6a5871fccb3bfc065d3fac5ba09feec525a
[ "MIT" ]
null
null
null
clientV4.py
sekranmert/AWS-Arduino-SmartHomeSystem
80f4b6a5871fccb3bfc065d3fac5ba09feec525a
[ "MIT" ]
null
null
null
import socket import threading helpMessage = '-q -- close connection\n-l -- list of connected devices\n-t -- server time \n-s "arduino/client ""reciever name" "message" -- send message (messages can be max 100 character) \nif reciever is an arduino board it can be controlled by this messsage:\n -s arduino "arduino ...
32.618182
312
0.545151
203
1,794
4.807882
0.453202
0.040984
0.018443
0.012295
0.055328
0
0
0
0
0
0
0.031614
0.329989
1,794
54
313
33.222222
0.780366
0.018952
0
0.222222
0
0.022222
0.272941
0
0
0
0
0
0
1
0.044444
false
0
0.044444
0
0.088889
0.133333
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
289396e6e160ca17355478e692561082d33da8f2
3,885
py
Python
data_loader/data_loaders.py
ChunpingQiu/Sen2LCZ_CNN
5576567da658f945321280f37ff8d9bf46dd1818
[ "MIT" ]
null
null
null
data_loader/data_loaders.py
ChunpingQiu/Sen2LCZ_CNN
5576567da658f945321280f37ff8d9bf46dd1818
[ "MIT" ]
null
null
null
data_loader/data_loaders.py
ChunpingQiu/Sen2LCZ_CNN
5576567da658f945321280f37ff8d9bf46dd1818
[ "MIT" ]
1
2021-08-19T03:35:05.000Z
2021-08-19T03:35:05.000Z
from torchvision import datasets, transforms from base import BaseDataLoader from torch.utils.data import Dataset, DataLoader import pandas as pd import torch from skimage import io#, transform import numpy as np class MnistDataLoader(BaseDataLoader): """ MNIST data loading demo using BaseDataLoader """ ...
32.647059
121
0.621107
477
3,885
4.867925
0.289308
0.05168
0.028424
0.028424
0.368648
0.326443
0.326443
0.296296
0.296296
0.296296
0
0.020422
0.256371
3,885
118
122
32.923729
0.783316
0.200257
0
0.16129
0
0
0.021783
0
0
0
0
0
0.032258
1
0.129032
false
0
0.112903
0.016129
0.387097
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
28957d205b560942a43fe20af3ee47c7d8d34a15
591
py
Python
eval_predictions.py
uporwal/sigir-2019-ecom-challenge
bffa7f99930321ad5d86e0cddd3c9ddfb98ba3d2
[ "MIT" ]
7
2019-06-05T01:42:54.000Z
2020-07-31T04:31:47.000Z
eval_predictions.py
uporwal/sigir-2019-ecom-challenge
bffa7f99930321ad5d86e0cddd3c9ddfb98ba3d2
[ "MIT" ]
5
2019-06-09T15:11:47.000Z
2019-06-28T18:35:48.000Z
eval_predictions.py
uporwal/sigir-2019-ecom-challenge
bffa7f99930321ad5d86e0cddd3c9ddfb98ba3d2
[ "MIT" ]
5
2019-06-04T17:06:33.000Z
2021-01-15T11:14:43.000Z
import evaluation_script import argparse parser = argparse.ArgumentParser(description='Evaluation script used in the eBay SIGIR 2019 eCommerce Search Challenge.') parser.add_argument('-g', '--ground-truth-file', required=True, help="Ground truth file") parser.add_argument('-p', '--prediction-file', required=True, help...
45.461538
121
0.781726
79
591
5.708861
0.481013
0.10643
0.113082
0.088692
0
0
0
0
0
0
0
0.007339
0.077834
591
12
122
49.25
0.820183
0
0
0
0
0
0.296108
0
0
0
0
0
0
1
0
false
0
0.2
0
0.2
0.2
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
289d03fd3a78072e9344f01958c2c279a5179efe
9,092
py
Python
modules/Manager.py
jurajkula/IBT
7b09f6d331433bfbf3e7955754a36b69b332bb4e
[ "MIT" ]
3
2019-05-16T18:54:49.000Z
2019-10-21T11:12:50.000Z
modules/Manager.py
jurajkula/IBT
7b09f6d331433bfbf3e7955754a36b69b332bb4e
[ "MIT" ]
null
null
null
modules/Manager.py
jurajkula/IBT
7b09f6d331433bfbf3e7955754a36b69b332bb4e
[ "MIT" ]
null
null
null
import os import time from os import mkdir from os.path import isdir from threading import Lock import cv2 import imutils from modules.Camera import Detect from modules.Camera.CameraHandler import CameraHandler from modules.Config import Config from modules.Fusion import Fusion from modules.Logger.Logger import Logge...
34.439394
114
0.478883
799
9,092
5.438048
0.20025
0.069965
0.017722
0.041427
0.409206
0.364327
0.364327
0.339241
0.339241
0.339241
0
0.019642
0.428839
9,092
263
115
34.570342
0.817061
0.010339
0
0.5311
0
0
0.023574
0.002446
0
0
0.000445
0
0
1
0.033493
false
0.004785
0.062201
0.004785
0.114833
0.004785
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
289e8099349c64172c6b2bf0ba568b861c6f1152
5,809
py
Python
train.py
okwrtdsh/3D-ResNets-PyTorch
f36a32ea8b283524d1d102937c49689b1f475b5f
[ "MIT" ]
null
null
null
train.py
okwrtdsh/3D-ResNets-PyTorch
f36a32ea8b283524d1d102937c49689b1f475b5f
[ "MIT" ]
null
null
null
train.py
okwrtdsh/3D-ResNets-PyTorch
f36a32ea8b283524d1d102937c49689b1f475b5f
[ "MIT" ]
null
null
null
import torch from torch.autograd import Variable import time import os import sys import numpy as np from utils import AverageMeter, calculate_accuracy, save_gif, accuracy from models.binarized_modules import binarizef def train_epoch(epoch, data_loader, model, criterion, optimizer, opt, epoch_logger...
36.30625
88
0.484249
665
5,809
4.088722
0.215038
0.03972
0.015447
0.014711
0.365943
0.365943
0.314454
0.290916
0.273262
0.26039
0
0.026594
0.36564
5,809
159
89
36.534591
0.711262
0.119125
0
0.346457
0
0
0.143222
0.018442
0
0
0
0
0.007874
1
0.007874
false
0
0.062992
0
0.070866
0.03937
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
289fb47f080457beca96ad6fa33ec1f46323cf2b
6,506
py
Python
commands/misc/settings.py
ii-Python/Prism
a404a61ddb16d045aa29d81908ce4ad80b24e24d
[ "MIT" ]
6
2020-09-28T13:19:37.000Z
2021-07-13T10:37:22.000Z
commands/misc/settings.py
BenjaminGotBanned/Prism
a404a61ddb16d045aa29d81908ce4ad80b24e24d
[ "MIT" ]
2
2020-10-06T17:59:40.000Z
2020-10-06T20:12:39.000Z
commands/misc/settings.py
BenjaminGotBanned/Prism
a404a61ddb16d045aa29d81908ce4ad80b24e24d
[ "MIT" ]
3
2021-01-05T13:33:58.000Z
2021-07-13T10:37:37.000Z
# Modules import discord from datetime import date from discord import Embed from json import loads, dumps from assets.prism import Tools from discord.ext import commands # Main Command Class class Settings(commands.Cog): def __init__(self, bot): self.bot = bot self.desc = "Changes server settin...
29.306306
196
0.527206
765
6,506
4.418301
0.215686
0.039053
0.049704
0.063905
0.365089
0.365089
0.345562
0.238462
0.215976
0.197041
0
0.004392
0.335075
6,506
221
197
29.438914
0.776699
0.005841
0
0.234783
0
0.017391
0.23979
0.008045
0
0
0.002475
0
0
1
0.017391
false
0
0.052174
0
0.182609
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
28a230764b88abf38e3cb6d2f0cf4df9e3778896
970
py
Python
core/test.py
awesome-archive/muzero-pytorch
2ff4ea145097050031d6026f0aa1a97de72d702d
[ "MIT" ]
null
null
null
core/test.py
awesome-archive/muzero-pytorch
2ff4ea145097050031d6026f0aa1a97de72d702d
[ "MIT" ]
null
null
null
core/test.py
awesome-archive/muzero-pytorch
2ff4ea145097050031d6026f0aa1a97de72d702d
[ "MIT" ]
null
null
null
import torch from .mcts import MCTS, Node from .utils import select_action def test(config, model, episodes, device, render): model.to(device) model.eval() test_reward = 0 env = config.new_game() with torch.no_grad(): for ep_i in range(episodes): done = False ep_r...
31.290323
93
0.565979
115
970
4.643478
0.486957
0.05618
0
0
0
0
0
0
0
0
0
0.00774
0.334021
970
30
94
32.333333
0.818885
0
0
0
0
0
0
0
0
0
0
0
0
1
0.04
false
0
0.12
0
0.2
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
953703edf77bdad68e1e40c1a564d92c76b7a5a5
1,824
pyde
Python
listing_70/listing_70.pyde
tiranderel/2019-fall-polytech-cs
67f0482a0f143381f9b494a4348d6436ce8f8c1e
[ "MIT" ]
null
null
null
listing_70/listing_70.pyde
tiranderel/2019-fall-polytech-cs
67f0482a0f143381f9b494a4348d6436ce8f8c1e
[ "MIT" ]
null
null
null
listing_70/listing_70.pyde
tiranderel/2019-fall-polytech-cs
67f0482a0f143381f9b494a4348d6436ce8f8c1e
[ "MIT" ]
null
null
null
import math class MySuperBall: x=0 y=0 radius=0 speed=0 counter=0 previousBall=None vector = 1 def render (self): noStroke () fill (200 , 100) ellipse (self.x,self.y,self.radius , self.radius ) stroke (10) strokeWeight (2) ...
26.057143
75
0.533991
218
1,824
4.37156
0.330275
0.113326
0.028332
0.03148
0.054565
0
0
0
0
0
0
0.05348
0.354167
1,824
69
76
26.434783
0.755518
0
0
0.065574
0
0
0.010826
0
0
0
0
0
0
1
0.098361
false
0
0.016393
0
0.245902
0.016393
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
953906e1815512ae7854e463509fe51bfa7374f8
1,340
py
Python
src/carim_discord_bot/discord_client/member_count.py
schana/carim-discord-bot
c1f5e868404744667156af7ad6d244939998b5a2
[ "Apache-2.0" ]
14
2020-04-06T17:58:09.000Z
2022-02-28T13:29:35.000Z
src/carim_discord_bot/discord_client/member_count.py
schana/carim-discord-bot
c1f5e868404744667156af7ad6d244939998b5a2
[ "Apache-2.0" ]
48
2020-04-05T11:24:10.000Z
2021-03-10T08:12:19.000Z
src/carim_discord_bot/discord_client/member_count.py
schana/carim-discord-bot
c1f5e868404744667156af7ad6d244939998b5a2
[ "Apache-2.0" ]
12
2020-03-31T15:08:56.000Z
2021-09-07T17:54:49.000Z
import asyncio import logging import discord from carim_discord_bot import managed_service, config from carim_discord_bot.discord_client import discord_service log = logging.getLogger(__name__) class MemberCountService(managed_service.ManagedService): async def handle_message(self, message: managed_service.Mes...
31.162791
102
0.698507
159
1,340
5.597484
0.327044
0.123596
0.121348
0.074157
0.189888
0.159551
0.080899
0
0
0
0
0.003887
0.23209
1,340
42
103
31.904762
0.86103
0
0
0
0
0
0.049254
0.021642
0
0
0
0
0
1
0.032258
false
0.032258
0.16129
0
0.290323
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
953acd7416847beb9014f4f513c188884ed30577
567
py
Python
GAPullTest.py
wrashi/GAReport
b58fb1ef8a8984761ba417879aa52c4100c61a0b
[ "Unlicense" ]
null
null
null
GAPullTest.py
wrashi/GAReport
b58fb1ef8a8984761ba417879aa52c4100c61a0b
[ "Unlicense" ]
null
null
null
GAPullTest.py
wrashi/GAReport
b58fb1ef8a8984761ba417879aa52c4100c61a0b
[ "Unlicense" ]
null
null
null
#!/usr/bin/env python3 from GAReport import GAReport VIEW_ID = 'PutViewIDHere' DIMENSIONS = ["Page", ] METRICS = ["Pageviews", "Unique Pageviews", "Avg. Time on Page", "Entrances", "Bounce Rate", "% Exit", "Page Value"] # Use these instructions for creating single and multiple filters: https://developers.google.com...
43.615385
153
0.75485
71
567
6
0.760563
0.028169
0
0
0
0
0
0
0
0
0
0.005871
0.098765
567
13
154
43.615385
0.827789
0.301587
0
0
0
0
0.329949
0
0
0
0
0
0
1
0
false
0
0.142857
0
0.142857
0.142857
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
953ca9b5b1450ae6da266d252be6ca5bb7c74e70
14,525
py
Python
model.py
coolEphemeroptera/AESRC2020
b64cdeeaaf74e8c1a741930b3a47dc8dcadca8de
[ "Apache-2.0" ]
35
2020-09-26T13:40:16.000Z
2022-03-22T19:42:20.000Z
model.py
coolEphemeroptera/ARNet
b64cdeeaaf74e8c1a741930b3a47dc8dcadca8de
[ "Apache-2.0" ]
4
2021-04-10T13:05:52.000Z
2022-03-14T03:22:32.000Z
model.py
coolEphemeroptera/ARNet
b64cdeeaaf74e8c1a741930b3a47dc8dcadca8de
[ "Apache-2.0" ]
7
2020-09-26T15:52:45.000Z
2021-06-11T05:05:23.000Z
from resnet import resnet18_,resnet34_,resnet50_,resnet101_, resnet152_ from keras.layers import Input, Dense, Lambda,Dropout,Conv2D,Activation,Bidirectional,GlobalAveragePooling1D,\ BatchNormalization,Reshape from keras_layer_normalization import LayerNormalization from keras.layers.cudnn_recurrent import CuDN...
34.748804
112
0.497969
1,571
14,525
4.360917
0.16168
0.016348
0.014304
0.010217
0.370311
0.316158
0.257773
0.237921
0.207561
0.173113
0
0.021699
0.336867
14,525
417
113
34.832134
0.689576
0.064441
0
0.269625
0
0
0.07716
0.010955
0
0
0
0
0
1
0.05802
false
0
0.040956
0.023891
0.156997
0.013652
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
953e8e8b09e196ff5d7362c6a2eeb02c08425111
15,517
py
Python
blackjack.py
hackerboy9/blackjack
1346642e353719ab68c0dc3573aa33b688431bf8
[ "MIT" ]
null
null
null
blackjack.py
hackerboy9/blackjack
1346642e353719ab68c0dc3573aa33b688431bf8
[ "MIT" ]
1
2020-10-25T10:16:37.000Z
2020-10-25T10:16:37.000Z
blackjack.py
hackerboy9/blackjack
1346642e353719ab68c0dc3573aa33b688431bf8
[ "MIT" ]
2
2017-07-16T08:00:29.000Z
2020-10-06T14:48:18.000Z
from collections import MutableMapping, MutableSet, namedtuple from operator import itemgetter class Node(namedtuple("Node", "value, left, right, red")): __slots__ = () def size(self): """ Recursively find size of a tree. Slow. """ if self is NULL: return 0 ...
29.783109
82
0.566475
2,053
15,517
4.204579
0.166098
0.024096
0.014018
0.015639
0.361214
0.29437
0.237373
0.199722
0.143652
0.135079
0
0.00946
0.339176
15,517
520
83
29.840385
0.832358
0.268802
0
0.367273
0
0
0.017792
0
0
0
0
0
0.072727
1
0.181818
false
0
0.010909
0.025455
0.330909
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
954332209f4c21416110fe7a318ebf31b6100c2e
3,566
py
Python
Terminal_Bot.py
Data-Alchemy/Unix_Automation
3d5ee450e1b19f79509960f6d117c16fb8aa5313
[ "Apache-2.0" ]
null
null
null
Terminal_Bot.py
Data-Alchemy/Unix_Automation
3d5ee450e1b19f79509960f6d117c16fb8aa5313
[ "Apache-2.0" ]
null
null
null
Terminal_Bot.py
Data-Alchemy/Unix_Automation
3d5ee450e1b19f79509960f6d117c16fb8aa5313
[ "Apache-2.0" ]
null
null
null
import paramiko,time,sys,json,os,pandas ######################################################################################################################## ################################################### parms ############################################################# proxy = None Port = 22 Username = open...
37.93617
160
0.615536
435
3,566
4.914943
0.298851
0.029467
0.039757
0.037886
0.54116
0.498129
0.480355
0.480355
0.480355
0.480355
0
0.010218
0.176669
3,566
93
161
38.344086
0.717643
0.191531
0
0.463768
0
0
0.007573
0
0
0
0
0
0
1
0.043478
false
0.043478
0.014493
0
0.057971
0.028986
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
95433e555cbe86270b9f0c26744b230b46b56f5a
825
py
Python
pnnl/models/__init__.py
rkini-pnnl/volttron-GS
60055438446a060176381468757ad0ec339f2371
[ "BSD-3-Clause" ]
1
2021-08-05T04:01:55.000Z
2021-08-05T04:01:55.000Z
pnnl/models/__init__.py
kevinatkinson-pnnl/volttron-GS
479c614a6f7cd779fcc208e8e35d27d0961a16f8
[ "BSD-3-Clause" ]
null
null
null
pnnl/models/__init__.py
kevinatkinson-pnnl/volttron-GS
479c614a6f7cd779fcc208e8e35d27d0961a16f8
[ "BSD-3-Clause" ]
null
null
null
import importlib import logging from volttron.platform.agent import utils _log = logging.getLogger(__name__) utils.setup_logging() __version__ = "0.1" __all__ = ['Model'] class Model(object): def __init__(self, config, **kwargs): base_module = "volttron.pnnl.models." try: model_type ...
29.464286
73
0.65697
102
825
4.941176
0.5
0.107143
0.051587
0.075397
0.126984
0.126984
0
0
0
0
0
0.00317
0.235152
825
27
74
30.555556
0.795563
0
0
0
0
0
0.08
0.025455
0
0
0
0
0
1
0.090909
false
0
0.181818
0
0.363636
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
95446537feef632a16bbea1d71d8483703929711
826
py
Python
src/cli.py
thisistrivial/cr-draft
25defcf03466b044c28ad42661536e27b6df1222
[ "MIT" ]
null
null
null
src/cli.py
thisistrivial/cr-draft
25defcf03466b044c28ad42661536e27b6df1222
[ "MIT" ]
null
null
null
src/cli.py
thisistrivial/cr-draft
25defcf03466b044c28ad42661536e27b6df1222
[ "MIT" ]
null
null
null
import draft import os def run(): picks = [[],[]] pairs = draft.pairs() for player in range(1, 3): os.system("clear") pre = "[Player %d]: " % player input(pre + "(Enter when ready) ") pair = 0 while pair < 4: pick = input(pre + "%s (1), %s (2) " % (draft.get_name(pairs[playe...
22.944444
69
0.521792
117
826
3.65812
0.324786
0.098131
0.11215
0.149533
0.514019
0.411215
0.411215
0.280374
0.280374
0.280374
0
0.037099
0.282082
826
35
70
23.6
0.684654
0
0
0.269231
0
0
0.112727
0
0
0
0
0
0
1
0.038462
false
0
0.076923
0
0.115385
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
954b661a558c8d594bb41be0460c68998860e06c
4,712
py
Python
plaso/parsers/winreg_plugins/usbstor.py
Defense-Cyber-Crime-Center/plaso
4f3a85fbea10637c1cdbf0cde9fc539fdcea9c47
[ "Apache-2.0" ]
2
2016-02-18T12:46:29.000Z
2022-03-13T03:04:59.000Z
plaso/parsers/winreg_plugins/usbstor.py
Defense-Cyber-Crime-Center/plaso
4f3a85fbea10637c1cdbf0cde9fc539fdcea9c47
[ "Apache-2.0" ]
null
null
null
plaso/parsers/winreg_plugins/usbstor.py
Defense-Cyber-Crime-Center/plaso
4f3a85fbea10637c1cdbf0cde9fc539fdcea9c47
[ "Apache-2.0" ]
6
2016-12-18T08:05:36.000Z
2021-04-06T14:19:11.000Z
# -*- coding: utf-8 -*- """File containing a Windows Registry plugin to parse the USBStor key.""" import logging from plaso.events import windows_events from plaso.lib import eventdata from plaso.parsers import winreg from plaso.parsers.winreg_plugins import interface __author__ = 'David Nides (david.nides@gmail.co...
39.266667
79
0.695034
587
4,712
5.32368
0.301533
0.03584
0.04608
0.03456
0.33664
0.2896
0.22656
0.21056
0.21056
0.21056
0
0.006006
0.222623
4,712
119
80
39.596639
0.84712
0.182301
0
0.213333
0
0
0.125625
0.022123
0
0
0
0
0
1
0.013333
false
0
0.066667
0
0.16
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9550103d22b0d4fa16de9bf491fa914c8ddf64fb
4,877
py
Python
musicbot/modules/default/helpmsg.py
oKidd/PrendeMusic
b66d54d93ed36587193c20b71201c4447d80ad85
[ "MIT" ]
5
2018-09-07T12:17:27.000Z
2019-12-06T02:35:26.000Z
musicbot/modules/default/helpmsg.py
oKidd/PrendeMusic
b66d54d93ed36587193c20b71201c4447d80ad85
[ "MIT" ]
null
null
null
musicbot/modules/default/helpmsg.py
oKidd/PrendeMusic
b66d54d93ed36587193c20b71201c4447d80ad85
[ "MIT" ]
2
2020-04-25T00:35:17.000Z
2021-05-13T22:20:19.000Z
from collections import defaultdict from discord.ext.commands import Cog, command from discord.utils import get from ...utils import check_restricted from ... import exceptions from ... import messagemanager class Help(Cog): async def get_cmd(self, name, bot, user, list_all_cmds=False): cmd = bot.get_comm...
44.743119
204
0.568792
615
4,877
4.398374
0.243902
0.031054
0.028466
0.017745
0.275416
0.262107
0.182625
0.051017
0.038447
0.038447
0
0.004239
0.322739
4,877
109
205
44.743119
0.814714
0.017634
0
0.08
0
0
0.138127
0.005203
0.013333
0
0
0
0
1
0
false
0
0.08
0
0.133333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
95515f6c6551928915064695c2fceeeba21d268c
8,710
py
Python
flatpak_update.py
willsALMANJ/flatpak_update
84a8f59a11952a5daf57a18f0426b676f3a707c2
[ "0BSD" ]
1
2020-06-12T07:51:32.000Z
2020-06-12T07:51:32.000Z
flatpak_update.py
willsALMANJ/flatpak_update
84a8f59a11952a5daf57a18f0426b676f3a707c2
[ "0BSD" ]
null
null
null
flatpak_update.py
willsALMANJ/flatpak_update
84a8f59a11952a5daf57a18f0426b676f3a707c2
[ "0BSD" ]
null
null
null
"Update a Flatpak repository for new versions of components" import argparse import asyncio import datetime from functools import total_ordering import hashlib from itertools import zip_longest import json from pathlib import Path import re import httpx import jinja2 import yaml GITHUB_DATE_FORMAT = "%Y-%m-%dT%H:%M:...
30.138408
83
0.62721
1,101
8,710
4.782925
0.237057
0.0188
0.014622
0.011394
0.22161
0.172427
0.121534
0.096088
0.096088
0.075199
0
0.013073
0.253502
8,710
288
84
30.243056
0.796832
0.050402
0
0.129032
0
0
0.173235
0.013692
0
0
0
0
0
1
0.069124
false
0
0.0553
0.023041
0.221198
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
955231e63fbff36ad8601f161f98440ad3a247cb
1,746
py
Python
base/env/test_processStrategy.py
stevenchen521/quant_ml
f7d5efc49c934724f97fcafacc560f4a35b24551
[ "MIT" ]
5
2019-02-14T03:12:22.000Z
2022-01-24T18:43:07.000Z
base/env/test_processStrategy.py
stevenchen521/quant_ml
f7d5efc49c934724f97fcafacc560f4a35b24551
[ "MIT" ]
null
null
null
base/env/test_processStrategy.py
stevenchen521/quant_ml
f7d5efc49c934724f97fcafacc560f4a35b24551
[ "MIT" ]
2
2019-11-13T18:56:13.000Z
2021-12-31T01:25:22.000Z
from unittest import TestCase import base.env.pre_process as pre_process import pandas as pd from sklearn.preprocessing import MinMaxScaler from helper.util import get_attribute from base.env.pre_process_conf import active_stragery, get_strategy_analyze import base.env.pre_process class TestProcessStrategy(TestCase)...
38.8
143
0.708477
205
1,746
5.746341
0.292683
0.08489
0.072156
0.071307
0.217317
0.118846
0.118846
0.118846
0.118846
0.118846
0
0.012186
0.201031
1,746
44
144
39.681818
0.832258
0.151775
0
0
0
0
0.023035
0
0
0
0
0
0.269231
1
0.153846
false
0
0.269231
0
0.461538
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
955351f42a772eb848c0ae2b75d5d28ba1ff2a00
3,033
py
Python
mir3/lib/knn.py
pymir3/pymir3
c1bcca66a5ef1ff0ebd6373e3820e72dee6b0b70
[ "MIT" ]
12
2015-08-03T12:41:11.000Z
2020-08-18T07:55:23.000Z
mir3/lib/knn.py
pymir3/pymir3
c1bcca66a5ef1ff0ebd6373e3820e72dee6b0b70
[ "MIT" ]
1
2015-05-27T18:47:20.000Z
2015-05-27T18:47:20.000Z
mir3/lib/knn.py
pymir3/pymir3
c1bcca66a5ef1ff0ebd6373e3820e72dee6b0b70
[ "MIT" ]
3
2016-03-18T03:30:02.000Z
2018-07-05T02:29:16.000Z
import numpy import numpy.linalg def distance_sum(inputs, references): """Sum of all distances between inputs and references Each element should be in a row! """ norms = numpy.zeros(inputs.shape[0]) for i in xrange(references.shape[0]): norms += numpy.apply_along_axis(numpy.linalg.norm, 1...
31.59375
81
0.567755
428
3,033
3.978972
0.203271
0.071051
0.063418
0.042278
0.604815
0.590135
0.57017
0.536113
0.512625
0.445684
0
0.032524
0.280251
3,033
95
82
31.926316
0.747595
0.231124
0
0.555556
0
0
0
0
0
0
0
0
0
1
0.111111
false
0
0.037037
0
0.259259
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9554b36b01a4be87039a97f47f4d8ef14a97ffe2
2,440
py
Python
nasafree/views.py
luanmalaquias/projeto_api_nasa_django
3441c404da821b4177571814014e89b0cff6a6b7
[ "MIT" ]
null
null
null
nasafree/views.py
luanmalaquias/projeto_api_nasa_django
3441c404da821b4177571814014e89b0cff6a6b7
[ "MIT" ]
null
null
null
nasafree/views.py
luanmalaquias/projeto_api_nasa_django
3441c404da821b4177571814014e89b0cff6a6b7
[ "MIT" ]
null
null
null
from django.shortcuts import redirect, render from .models import * from datetime import date from brain import ipfunc def home(request): dados = Apod.getObjectOrRequest() buscaData = request.POST.get('data') if request.method == 'POST': dados = Apod.getObjectOrRequest(str(buscaData)) ret...
34.366197
93
0.685246
287
2,440
5.783972
0.278746
0.079518
0.125904
0.159036
0.448795
0.371084
0.344578
0.344578
0.263253
0.237349
0
0.010924
0.17459
2,440
71
94
34.366197
0.813307
0
0
0.203704
0
0
0.142974
0.038099
0
0
0
0
0
1
0.185185
false
0
0.074074
0.074074
0.462963
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9558fc73a95bcd6653e042be3bc2a2e8ae6c004c
4,758
py
Python
dotenv.py
ross-urban/django-dotenv
16cbf7bb78571174bc5376c95c85b213857cb9f9
[ "MIT" ]
null
null
null
dotenv.py
ross-urban/django-dotenv
16cbf7bb78571174bc5376c95c85b213857cb9f9
[ "MIT" ]
null
null
null
dotenv.py
ross-urban/django-dotenv
16cbf7bb78571174bc5376c95c85b213857cb9f9
[ "MIT" ]
1
2021-02-16T15:37:18.000Z
2021-02-16T15:37:18.000Z
import os import re import sys import warnings __version__ = '1.4.3' line_re = re.compile(r""" ^ (?:export\s+)? # optional export ([\w\.]+) # key (?:\s*=\s*|:\s+?) # separator ( # optional value begin '(?:\'|[^'])*' # single quoted value | ...
31.72
78
0.481084
512
4,758
4.429688
0.351563
0.021164
0.013228
0.010582
0.032628
0.015873
0.015873
0.015873
0
0
0
0.008794
0.40248
4,758
149
79
31.932886
0.788955
0.151114
0
0.113208
0
0
0.227854
0
0
0
0
0
0
1
0.028302
false
0
0.037736
0
0.084906
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
955b60084410969a08f97fe22aa1d69988088bf0
16,755
py
Python
PsychoPy3 Experiments/ContrastDetection.py
mrhunsaker/ContrastDetection
bb058460c5f90119316d0637885cd47f7ca2a307
[ "MIT" ]
null
null
null
PsychoPy3 Experiments/ContrastDetection.py
mrhunsaker/ContrastDetection
bb058460c5f90119316d0637885cd47f7ca2a307
[ "MIT" ]
null
null
null
PsychoPy3 Experiments/ContrastDetection.py
mrhunsaker/ContrastDetection
bb058460c5f90119316d0637885cd47f7ca2a307
[ "MIT" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- """ This experiment was created using PsychoPy3 Experiment Builder (v2020.2.4post1), on October 27, 2020, at 14:06 If you publish work using this script the most relevant publication is: Peirce J, Gray JR, Simpson S, MacAskill M, Höchenberger R, Sogo H, Kastman E, ...
43.861257
102
0.66607
2,053
16,755
5.412567
0.246469
0.014399
0.009899
0.017999
0.466163
0.431515
0.394258
0.306875
0.292837
0.285187
0
0.016972
0.233363
16,755
381
103
43.976378
0.848112
0.308803
0
0.262357
0
0.003802
0.070823
0.005421
0
0
0
0
0
1
0
false
0
0.041825
0
0.041825
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
955dce71570249e6e13d912ac4f316735729f8a7
1,765
py
Python
BB/conf.py
poco0317/BarinadeBot-Rewrite
4f34246178ab2ee0fd4c0a79fff5a43adbed134c
[ "MIT" ]
2
2021-05-06T09:07:44.000Z
2021-05-11T23:45:38.000Z
BB/conf.py
poco0317/BarinadeBot-Rewrite
4f34246178ab2ee0fd4c0a79fff5a43adbed134c
[ "MIT" ]
null
null
null
BB/conf.py
poco0317/BarinadeBot-Rewrite
4f34246178ab2ee0fd4c0a79fff5a43adbed134c
[ "MIT" ]
null
null
null
import configparser import os import shutil import traceback class Conf: def __init__(self, conf): self.options = conf config = configparser.ConfigParser(interpolation=None) if not config.read(conf, encoding='utf-8'): print("I had to remake the config file from default....
41.046512
155
0.602833
214
1,765
4.883178
0.504673
0.062201
0.03445
0.042105
0.049761
0.049761
0
0
0
0
0
0.004819
0.294618
1,765
43
156
41.046512
0.834538
0.07762
0
0.111111
0
0.055556
0.203931
0
0
0
0
0
0
1
0.027778
false
0.027778
0.111111
0
0.305556
0.111111
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9562440f3dc7a8e571a4195021e3f9febc5d8b84
3,042
py
Python
tutorials/mechanisms/tutorial_convenience_inhibition.py
AQ18/skimpy
435fc50244f2ca815bbb39d525a82a4692f5c0ac
[ "Apache-2.0" ]
13
2020-11-05T10:59:13.000Z
2022-03-21T01:38:31.000Z
tutorials/mechanisms/tutorial_convenience_inhibition.py
AQ18/skimpy
435fc50244f2ca815bbb39d525a82a4692f5c0ac
[ "Apache-2.0" ]
4
2022-01-27T10:23:40.000Z
2022-03-10T18:16:06.000Z
tutorials/mechanisms/tutorial_convenience_inhibition.py
AQ18/skimpy
435fc50244f2ca815bbb39d525a82a4692f5c0ac
[ "Apache-2.0" ]
6
2020-08-04T17:01:33.000Z
2022-03-21T01:38:32.000Z
# -*- coding: utf-8 -*- """ .. module:: skimpy :platform: Unix, Windows :synopsis: Simple Kinetic Models in Python .. moduleauthor:: SKiMPy team [---------] Copyright 2017 Laboratory of Computational Systems Biotechnology (LCSB), Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland Licensed under the ...
29.25
87
0.610782
352
3,042
5.139205
0.46875
0.049751
0.035379
0.05749
0.091211
0.091211
0.043118
0.043118
0.043118
0.043118
0
0.037431
0.288626
3,042
103
88
29.533981
0.798521
0.347469
0
0.12766
0
0
0.02444
0.012729
0
0
0
0
0
1
0
false
0
0.06383
0
0.06383
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9564a1cacc7687a8261fe339aaf329a5f5fa587d
825
py
Python
advanced-python/05_advanced_classes_and_objects/enums.py
alexprodan99/python-workspace
8c805afc29fafe3916759d1cf07e597f945b8b45
[ "MIT" ]
null
null
null
advanced-python/05_advanced_classes_and_objects/enums.py
alexprodan99/python-workspace
8c805afc29fafe3916759d1cf07e597f945b8b45
[ "MIT" ]
null
null
null
advanced-python/05_advanced_classes_and_objects/enums.py
alexprodan99/python-workspace
8c805afc29fafe3916759d1cf07e597f945b8b45
[ "MIT" ]
null
null
null
from enum import Enum, unique, auto @unique class Fruit(Enum): APPLE = 1 BANANA = 2 ORANGE = 3 # if you don't care what value to put you can use auto => basically it will get last value used + 1 (if auto is for first item it will be 0 + 1 = 1) PEAR = auto() def main(): print(Fruit.APPLE) # F...
27.5
152
0.641212
126
825
4.111111
0.444444
0.135135
0.086873
0.07722
0
0
0
0
0
0
0
0.016051
0.244848
825
30
153
27.5
0.815409
0.385455
0
0
0
0
0.028169
0
0
0
0
0
0
1
0.05
false
0
0.05
0
0.35
0.4
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9566a5fe7dd2b6c92ef1c6e1f73143b039776af9
3,313
py
Python
detector/detector.py
suhendaragung20/Object-Detection-Metrics
e756c9ba20ff1e89143c64e6d38288d2a8680f0e
[ "MIT" ]
null
null
null
detector/detector.py
suhendaragung20/Object-Detection-Metrics
e756c9ba20ff1e89143c64e6d38288d2a8680f0e
[ "MIT" ]
null
null
null
detector/detector.py
suhendaragung20/Object-Detection-Metrics
e756c9ba20ff1e89143c64e6d38288d2a8680f0e
[ "MIT" ]
null
null
null
# Import packages import os import cv2 import numpy as np import tensorflow as tf import sys from imutils.object_detection import non_max_suppression # This is needed since the notebook is stored in the object_detection folder. sys.path.append("..") # Import utilites from utils import label_map_util class detec...
37.224719
107
0.690915
443
3,313
4.941309
0.367946
0.083143
0.065783
0.047967
0.150297
0.087711
0.087711
0.057561
0
0
0
0.00399
0.243586
3,313
88
108
37.647727
0.869513
0.331422
0
0
0
0
0.070288
0.017344
0
0
0
0
0
1
0.054054
false
0
0.216216
0
0.324324
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9566fa933abad53d06086af6a6e451a81990671d
2,977
py
Python
test_scripts/test_residual_solver_dynamic.py
JoZimmer/ParOptBeam
50d15d8d822a2718f2932807e06c4a7e02f866a3
[ "BSD-3-Clause" ]
1
2021-04-09T14:08:20.000Z
2021-04-09T14:08:20.000Z
test_scripts/test_residual_solver_dynamic.py
JoZimmer/ParOptBeam
50d15d8d822a2718f2932807e06c4a7e02f866a3
[ "BSD-3-Clause" ]
2
2021-04-28T15:05:01.000Z
2021-11-10T15:12:56.000Z
test_scripts/test_residual_solver_dynamic.py
JoZimmer/ParOptBeam
50d15d8d822a2718f2932807e06c4a7e02f866a3
[ "BSD-3-Clause" ]
2
2021-02-01T08:49:45.000Z
2021-08-10T02:07:36.000Z
import numpy as np import matplotlib.pyplot as plt from cycler import cycler from source.solving_strategies.strategies.residual_based_newton_raphson_solver import ResidualBasedNewtonRaphsonSolver from source.solving_strategies.strategies.residual_based_picard_solver import ResidualBasedPicardSolver from source.model.s...
34.616279
118
0.566006
361
2,977
4.432133
0.382271
0.0325
0.03375
0.04
0.14875
0.14875
0.145
0.0825
0.0825
0.0825
0
0.056867
0.30299
2,977
85
119
35.023529
0.714217
0
0
0.056338
0
0
0.170306
0.035942
0
0
0
0
0
1
0.014085
false
0
0.084507
0
0.098592
0.014085
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9569b1f581ecb174ee905898df207343952c8b6e
1,483
py
Python
webeditor/app/attrdict.py
lshen1120/web-editor
170ac96b47bf957a3a42a99092e45e88e584c49a
[ "Apache-2.0" ]
4
2018-07-25T03:57:08.000Z
2018-07-25T06:34:59.000Z
webeditor/app/attrdict.py
lshen1120/web-editor
170ac96b47bf957a3a42a99092e45e88e584c49a
[ "Apache-2.0" ]
null
null
null
webeditor/app/attrdict.py
lshen1120/web-editor
170ac96b47bf957a3a42a99092e45e88e584c49a
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python # -*- coding:utf-8 -*- import copy class AttrDict(dict): def __init__(self, seq=None, **kwargs): dict.__init__(self, seq or {}, **kwargs) def __getattr__(self, name): return self.get(name, self.get("__default", None)) def __setattr__(self, name, value): self...
26.017544
68
0.574511
216
1,483
3.689815
0.236111
0.090339
0.025094
0.056462
0.40527
0.395232
0.395232
0.252196
0.158093
0.115433
0
0.017117
0.251517
1,483
56
69
26.482143
0.700901
0.027647
0
0.125
0
0
0.158554
0
0
0
0
0
0.275
1
0.2
false
0
0.025
0.05
0.325
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
956a1d409e8bf27f1eb1d39023f7ad436c2f2c6c
16,034
py
Python
EVeP/EVeP.py
amandaortega/EVeP
4bca562c814210b1d835e9be63ab80385c93320b
[ "MIT" ]
null
null
null
EVeP/EVeP.py
amandaortega/EVeP
4bca562c814210b1d835e9be63ab80385c93320b
[ "MIT" ]
null
null
null
EVeP/EVeP.py
amandaortega/EVeP
4bca562c814210b1d835e9be63ab80385c93320b
[ "MIT" ]
null
null
null
""" Author: Amanda Ortega de Castro Ayres Created in: September 19, 2019 Python version: 3.6 """ from Least_SRMTL import Least_SRMTL import libmr from matplotlib import pyplot, cm from matplotlib.patches import Circle from mpl_toolkits.mplot3d import Axes3D, art3d import numpy as np import numpy.matlib impo...
40.489899
247
0.591493
2,404
16,034
3.823211
0.1302
0.018932
0.012186
0.019584
0.428463
0.331738
0.262431
0.245675
0.216951
0.178
0
0.020068
0.288325
16,034
396
248
40.489899
0.785383
0.167893
0
0.156489
0
0
0.00483
0
0
0
0
0
0
1
0.091603
false
0
0.030534
0
0.183206
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
956c1145058b098a2e217c047220f62e14dea6e3
5,375
py
Python
bigml/modelfields.py
alanponce/python
9423b4c4968b81ee14cef1ab6cd62d23dfa8bd26
[ "Apache-2.0" ]
1
2021-06-20T11:51:22.000Z
2021-06-20T11:51:22.000Z
bigml/modelfields.py
alanponce/python
9423b4c4968b81ee14cef1ab6cd62d23dfa8bd26
[ "Apache-2.0" ]
null
null
null
bigml/modelfields.py
alanponce/python
9423b4c4968b81ee14cef1ab6cd62d23dfa8bd26
[ "Apache-2.0" ]
null
null
null
# -*- coding: utf-8 -*- #!/usr/bin/env python # # Copyright 2013-2016 BigML # # 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 requi...
37.852113
77
0.596279
666
5,375
4.681682
0.303303
0.037524
0.038486
0.016357
0.091405
0.082425
0.082425
0.073765
0.053239
0.053239
0
0.004979
0.327442
5,375
141
78
38.120567
0.857538
0.292279
0
0.144737
0
0
0.048668
0
0
0
0
0
0
1
0.078947
false
0
0.039474
0
0.184211
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
957446e0b2daddda7b2cb6fdb76915dc45c186cf
1,188
py
Python
test.py
Ericqle/Senior-Design-Project
aa8e2134b26aef151d3736d306a4fbc9fe69790e
[ "MIT" ]
null
null
null
test.py
Ericqle/Senior-Design-Project
aa8e2134b26aef151d3736d306a4fbc9fe69790e
[ "MIT" ]
null
null
null
test.py
Ericqle/Senior-Design-Project
aa8e2134b26aef151d3736d306a4fbc9fe69790e
[ "MIT" ]
null
null
null
from draw_control import DrawControl if __name__ == '__main__': zotter = DrawControl() test = input("track, rail, pen, hor, ver, diag: ") while(test): if test == "track": dir_in = input('dir step: ') dir = dir_in.split(" ") zotter.track.spin_fixed_step(int(dir[...
29.7
84
0.505051
149
1,188
3.845638
0.295302
0.08377
0.052356
0.068063
0.581152
0.499127
0.474695
0.474695
0.247819
0.247819
0
0.017767
0.3367
1,188
40
85
29.7
0.709391
0
0
0.366667
0
0
0.140454
0
0
0
0
0
0
1
0
false
0
0.033333
0
0.033333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
957893734aaf183904dce73b5e054520162c5d69
11,838
py
Python
flask_jquery/app.py
lmj0328/SocialMediaReport
555aa3551844b5ee67bcf9296d574fd99977982d
[ "MIT" ]
1
2021-02-28T05:01:37.000Z
2021-02-28T05:01:37.000Z
flask_jquery/app.py
lmj0328/SocialMediaReport
555aa3551844b5ee67bcf9296d574fd99977982d
[ "MIT" ]
null
null
null
flask_jquery/app.py
lmj0328/SocialMediaReport
555aa3551844b5ee67bcf9296d574fd99977982d
[ "MIT" ]
1
2020-03-12T02:08:10.000Z
2020-03-12T02:08:10.000Z
from flask import Flask, render_template, request, jsonify from flask import request from flask import Response from flask import url_for from flask import jsonify import GetOldTweets3 as got import pandas as pd import datetime import numpy as np import requests import json from pyquery import PyQuery as pq app = Fla...
41.391608
755
0.598496
1,307
11,838
5.224943
0.258608
0.033973
0.014351
0.018451
0.181286
0.104993
0.0924
0.057842
0.026065
0
0
0.042922
0.273779
11,838
285
756
41.536842
0.751425
0.08912
0
0.077253
0
0.004292
0.192361
0.0184
0
0
0
0
0
1
0.017167
false
0
0.051502
0.004292
0.107296
0.012876
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
957ac7e6d29caaecedbbbd4e6c92497096862e51
10,072
py
Python
croisee/croisee/models.py
fiee/croisee
922a163b627855468aac84e0c56ea51082424732
[ "BSD-3-Clause" ]
6
2017-09-06T02:03:36.000Z
2021-07-11T15:06:29.000Z
croisee/croisee/models.py
fiee/croisee
922a163b627855468aac84e0c56ea51082424732
[ "BSD-3-Clause" ]
null
null
null
croisee/croisee/models.py
fiee/croisee
922a163b627855468aac84e0c56ea51082424732
[ "BSD-3-Clause" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import unicode_literals from __future__ import absolute_import import unicodedata import re, os import logging from django.utils.translation import ugettext_lazy as _ from django.db import models from django.template.loader import render_to_string from djang...
43.601732
196
0.642276
1,216
10,072
5.151316
0.254934
0.034483
0.024904
0.016284
0.239783
0.203863
0.155013
0.121009
0.108876
0.099298
0
0.007054
0.225874
10,072
230
197
43.791304
0.796332
0.062748
0
0.169591
0
0.005848
0.199423
0
0
0
0
0.004348
0
1
0.070175
false
0
0.064327
0.040936
0.444444
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
957b9b53b7b5837fb4e6e2e80f7b80d9f1347ef1
5,372
py
Python
tests/views/userprofile/forms_test.py
BMeu/Aerarium
119946cead727ef68b5ecea339990d982c006391
[ "MIT" ]
null
null
null
tests/views/userprofile/forms_test.py
BMeu/Aerarium
119946cead727ef68b5ecea339990d982c006391
[ "MIT" ]
139
2018-12-26T07:54:31.000Z
2021-06-01T23:14:45.000Z
tests/views/userprofile/forms_test.py
BMeu/Aerarium
119946cead727ef68b5ecea339990d982c006391
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- from unittest import TestCase from flask_login import login_user from flask_wtf import FlaskForm from wtforms import StringField from wtforms import ValidationError from app import create_app from app import db from app.configuration import TestConfiguration from app.localization import get_l...
27.690722
92
0.625838
568
5,372
5.815141
0.195423
0.025431
0.025431
0.020587
0.677566
0.64941
0.617923
0.617923
0.518619
0.496821
0
0.000263
0.292628
5,372
193
93
27.834197
0.868947
0.205324
0
0.670213
0
0
0.055155
0
0
0
0
0
0.095745
1
0.117021
false
0
0.12766
0
0.308511
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
957eae3da3f74babe3abba60f328832ad8f0ef04
948
py
Python
userprofile/migrations/0001_initial.py
jmickela/stalkexchange
2182fcdfb716dbe3c227c83ac52c567331cc9e73
[ "Apache-2.0" ]
null
null
null
userprofile/migrations/0001_initial.py
jmickela/stalkexchange
2182fcdfb716dbe3c227c83ac52c567331cc9e73
[ "Apache-2.0" ]
10
2020-06-05T17:05:48.000Z
2022-03-11T23:13:08.000Z
userprofile/migrations/0001_initial.py
jmickela/stalkexchange
2182fcdfb716dbe3c227c83ac52c567331cc9e73
[ "Apache-2.0" ]
null
null
null
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import migrations, models from django.conf import settings class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.Create...
36.461538
157
0.635021
103
948
5.650485
0.61165
0.075601
0.054983
0.072165
0
0
0
0
0
0
0
0.002762
0.236287
948
25
158
37.92
0.801105
0.022152
0
0
0
0
0.115676
0
0
0
0
0
0
1
0
false
0
0.157895
0
0.315789
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
957f17448a40b5f7a9697897e18e53b84546771d
1,244
py
Python
DML.py
WellingtonFSouza1/SGI
89746bc1d9745931fd9b451e575b92c8197fcc65
[ "Apache-2.0" ]
null
null
null
DML.py
WellingtonFSouza1/SGI
89746bc1d9745931fd9b451e575b92c8197fcc65
[ "Apache-2.0" ]
null
null
null
DML.py
WellingtonFSouza1/SGI
89746bc1d9745931fd9b451e575b92c8197fcc65
[ "Apache-2.0" ]
null
null
null
import pymysql conexao = pymysql.connect( host='localhost', user='root', password='admin1234', db='ex_01') cursor = conexao.cursor(pymysql.cursors.DictCursor) def select(fields, tables, where=None): global cursor query = 'SELECT ' + fields + ' FROM ' + tables if where: ...
18.848485
90
0.568328
128
1,244
5.5
0.375
0.09233
0.102273
0.098011
0.285511
0.105114
0
0
0
0
0
0.008121
0.307074
1,244
65
91
19.138462
0.808585
0
0
0.263158
0
0
0.120441
0
0.026316
0
0
0
0
1
0.105263
false
0.026316
0.026316
0
0.236842
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9582a4c6372ffccedd8c93f53707273fd3fe596d
4,597
py
Python
src/__main__.py
BennyWestsyde/FakeNewsDetection
8b171f2c93d0849e13c9ea6d94b784caf037a3bb
[ "BSD-3-Clause" ]
null
null
null
src/__main__.py
BennyWestsyde/FakeNewsDetection
8b171f2c93d0849e13c9ea6d94b784caf037a3bb
[ "BSD-3-Clause" ]
16
2021-04-29T14:22:46.000Z
2021-05-21T04:02:02.000Z
src/__main__.py
BennyWestsyde/FakeNewsDetection
8b171f2c93d0849e13c9ea6d94b784caf037a3bb
[ "BSD-3-Clause" ]
2
2021-04-09T16:39:45.000Z
2021-05-02T19:39:32.000Z
"""Class to handle iterating through tweets in real time.""" import json import os import pandas as pd # Said this was unused. # from bluebird import BlueBird from bluebird.scraper import BlueBird from sentiment import PoliticalClassification from train import TrainingML col_names32 = "created_at,id,id_str,full_tex...
32.146853
450
0.591255
584
4,597
4.47089
0.263699
0.067407
0.04481
0.043661
0.543853
0.513596
0.513596
0.500574
0.469935
0.469935
0
0.006126
0.289754
4,597
142
451
32.373239
0.793568
0.091799
0
0.605505
0
0.009174
0.228764
0.116313
0
0
0
0
0
1
0.036697
false
0
0.055046
0
0.091743
0.045872
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9583cbd4d2fe5cf7c96a5c027ce0ed71ff87cf28
6,344
py
Python
test_trustpaylib.py
beezz/trustpaylib
a56d12d6ff97ad02034d85940ec09abbfe9eba76
[ "BSD-3-Clause" ]
null
null
null
test_trustpaylib.py
beezz/trustpaylib
a56d12d6ff97ad02034d85940ec09abbfe9eba76
[ "BSD-3-Clause" ]
null
null
null
test_trustpaylib.py
beezz/trustpaylib
a56d12d6ff97ad02034d85940ec09abbfe9eba76
[ "BSD-3-Clause" ]
1
2016-05-27T07:12:47.000Z
2016-05-27T07:12:47.000Z
# -*- coding: utf-8 -*- # vim:fenc=utf-8 import pytest import trustpaylib try: unicode py3 = False except NameError: py3 = True unicode = lambda s: s class TestTrustPayCore: secret_key = "abcd1234" aid = "9876543210" pay_request = trustpaylib.build_pay_request( AID=aid, ...
29.784038
75
0.576135
658
6,344
5.335866
0.170213
0.104813
0.034178
0.059242
0.578468
0.520649
0.454856
0.424665
0.424665
0.389348
0
0.060136
0.328972
6,344
212
76
29.924528
0.764623
0.005675
0
0.413978
0
0
0.06138
0.020301
0
0
0
0
0.11828
1
0.043011
false
0
0.010753
0
0.075269
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9584860203f1962d57d77ed27e2fa1c1d418bbe7
606
py
Python
Day 01/AdventOfCode01.py
KelvinFurtado/Advent-of-Code-2020
7aab4d542507222ef6aaef699d16cc1e2936e1d5
[ "MIT" ]
null
null
null
Day 01/AdventOfCode01.py
KelvinFurtado/Advent-of-Code-2020
7aab4d542507222ef6aaef699d16cc1e2936e1d5
[ "MIT" ]
null
null
null
Day 01/AdventOfCode01.py
KelvinFurtado/Advent-of-Code-2020
7aab4d542507222ef6aaef699d16cc1e2936e1d5
[ "MIT" ]
null
null
null
inputfile = open('inputDay01.txt', 'r') values = [int(i) for i in inputfile.readlines()] #PART1 def aoc01(numbers, value): for x in numbers: if value - x in numbers: return x * (value - x) #PART2 def aoc02(numbers, value): num1, num2 = None, None for x in numbers: n = value - x ...
25.25
48
0.531353
82
606
3.926829
0.353659
0.139752
0.093168
0.080745
0
0
0
0
0
0
0
0.075758
0.346535
606
24
49
25.25
0.737374
0.016502
0
0.105263
0
0
0.045378
0
0
0
0
0
0
1
0.105263
false
0
0
0
0.210526
0.105263
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9584cb7682c9b757f9f395cf4af9a536e43da394
1,686
py
Python
src/backend/api/views/auth_views.py
zackramjan/motuz
892252eb50acbd8135bf9df9872df5e4cfe6277b
[ "MIT" ]
84
2019-05-10T14:56:48.000Z
2022-03-19T17:07:24.000Z
src/backend/api/views/auth_views.py
zackramjan/motuz
892252eb50acbd8135bf9df9872df5e4cfe6277b
[ "MIT" ]
226
2019-05-28T21:59:22.000Z
2022-03-09T10:58:24.000Z
src/backend/api/views/auth_views.py
zackramjan/motuz
892252eb50acbd8135bf9df9872df5e4cfe6277b
[ "MIT" ]
16
2019-09-27T01:35:49.000Z
2022-03-08T16:18:50.000Z
import logging from flask import request from flask_restplus import Resource, Namespace, fields from ..managers import auth_manager from ..managers.auth_manager import token_required from ..exceptions import HTTP_EXCEPTION api = Namespace('auth', description='Authentication related operations') dto = api.model('au...
29.068966
81
0.641163
213
1,686
4.995305
0.319249
0.06203
0.067669
0.050752
0.464286
0.440789
0.316729
0.316729
0.316729
0.316729
0
0.01414
0.244958
1,686
57
82
29.578947
0.821681
0.069988
0
0.5
0
0
0.076031
0
0
0
0
0
0
1
0.071429
false
0.02381
0.142857
0
0.357143
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9587650c0783fa597913cbb4c287026be8eb0512
938
py
Python
src/crud-redmine/client/kafka_client.py
LeoNog96/IntegradorRedmine
bb5477caa9088665b3d18e26530609ba831517d9
[ "MIT" ]
null
null
null
src/crud-redmine/client/kafka_client.py
LeoNog96/IntegradorRedmine
bb5477caa9088665b3d18e26530609ba831517d9
[ "MIT" ]
null
null
null
src/crud-redmine/client/kafka_client.py
LeoNog96/IntegradorRedmine
bb5477caa9088665b3d18e26530609ba831517d9
[ "MIT" ]
null
null
null
from kafka import KafkaConsumer, KafkaProducer import json class Producer: producer = None producer_topic = None def __init__(self, server, topic): self.producer = KafkaProducer ( bootstrap_servers=[server], value_serializer=lambda x: json.dumps(x).encode('utf-8') ...
24.684211
88
0.60661
98
938
5.520408
0.428571
0.072089
0.044362
0.05915
0.12939
0.12939
0.12939
0.12939
0
0
0
0.003063
0.303838
938
38
89
24.684211
0.825421
0
0
0.148148
0
0
0.036209
0
0
0
0
0
0
1
0.148148
false
0
0.074074
0.037037
0.481481
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
958794f84d8fee2575a58b5c2e83f3a77dc04ee4
2,038
py
Python
remove_empty_csv's.py
asadrazaa1/emails-extraction
bb2b7b9f4caa9f62a81e6d9588c1c652d074dfde
[ "Unlicense" ]
null
null
null
remove_empty_csv's.py
asadrazaa1/emails-extraction
bb2b7b9f4caa9f62a81e6d9588c1c652d074dfde
[ "Unlicense" ]
null
null
null
remove_empty_csv's.py
asadrazaa1/emails-extraction
bb2b7b9f4caa9f62a81e6d9588c1c652d074dfde
[ "Unlicense" ]
null
null
null
import psycopg2 import sys from nltk.tokenize import sent_tokenize import re import csv import os # pmid {16300001 - 16400000} try: # starting_pmid = 16300001 # intermediate_pmid = 16400000 starting_pmid = 100001 intermediate_pmid = 200000 ending_pmid = 32078260 while 1: if interme...
33.966667
112
0.552993
228
2,038
4.798246
0.342105
0.120658
0.021938
0.032907
0.427788
0.427788
0.427788
0.427788
0.191956
0.191956
0
0.072539
0.337095
2,038
59
113
34.542373
0.737232
0.157017
0
0.205882
0
0
0.129543
0
0
0
0
0
0
1
0
false
0
0.176471
0
0.176471
0.147059
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9587f1170fd14bbc3fde52488cf4748e36a462f2
439
py
Python
src/core.py
unior-nlp-research-group/Ghigliottina
d78cf54cb7412301dd35ef3f3d6419a0350fe3af
[ "Apache-2.0" ]
2
2021-01-21T11:20:57.000Z
2021-01-21T17:51:07.000Z
src/core.py
unior-nlp-research-group/Ghigliottina
d78cf54cb7412301dd35ef3f3d6419a0350fe3af
[ "Apache-2.0" ]
null
null
null
src/core.py
unior-nlp-research-group/Ghigliottina
d78cf54cb7412301dd35ef3f3d6419a0350fe3af
[ "Apache-2.0" ]
null
null
null
#! /usr/bin/env python3 # -*- coding: utf-8 -*- import utility ################### ## main ################### if __name__=='__main__': import argparse parser = argparse.ArgumentParser() parser.add_argument("-m", "--model", help="the path to the model file") args = parser.parse_args() p...
23.105263
79
0.603645
46
439
5.521739
0.717391
0
0
0
0
0
0
0
0
0
0
0.005587
0.18451
439
18
80
24.388889
0.703911
0.111617
0
0
0
0
0.198847
0
0
0
0
0
0
1
0
false
0
0.222222
0
0.222222
0.111111
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
958823c46f3203892c3a9a7227ee987c3b6cf53a
3,412
py
Python
volcengine_ml_platform/datasets/image_dataset.py
volc-mlplatform/ml-platform-sdk-python
2d85e23c10a1f3c008da0f1a8ea59c277c750233
[ "MIT" ]
11
2021-09-08T09:20:54.000Z
2022-02-18T06:45:47.000Z
volcengine_ml_platform/datasets/image_dataset.py
volc-mlplatform/ml-platform-sdk-python
2d85e23c10a1f3c008da0f1a8ea59c277c750233
[ "MIT" ]
1
2021-09-24T03:21:07.000Z
2021-09-24T06:32:26.000Z
volcengine_ml_platform/datasets/image_dataset.py
volc-mlplatform/ml-platform-sdk-python
2d85e23c10a1f3c008da0f1a8ea59c277c750233
[ "MIT" ]
4
2021-09-23T07:54:06.000Z
2021-11-27T09:40:55.000Z
import json from collections.abc import Callable from typing import Optional import numpy as np from PIL import Image from volcengine_ml_platform.datasets.dataset import _Dataset from volcengine_ml_platform.io.tos_dataset import TorchTOSDataset class ImageDataset(_Dataset): """ ImageDataset创建函数 ``ImageDatas...
32.188679
84
0.586166
373
3,412
5.174263
0.300268
0.055959
0.018653
0.02487
0.136788
0.136788
0.065285
0.042487
0.042487
0
0
0.006427
0.315944
3,412
105
85
32.495238
0.82048
0.177902
0
0.033898
0
0
0.051343
0
0
0
0
0
0
1
0.084746
false
0
0.118644
0.016949
0.288136
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0