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
bb52f288b0e795d00e5f3bf63b427429792a24ad
9,486
py
Python
house_load_profiler.py
gianmarco-lorenti/RECOpt
c7916861db033f9d917d05094102194202e3bb09
[ "MIT" ]
8
2021-03-08T09:30:16.000Z
2022-02-18T19:40:41.000Z
house_load_profiler.py
gianmarco-lorenti/RECOpt
c7916861db033f9d917d05094102194202e3bb09
[ "MIT" ]
null
null
null
house_load_profiler.py
gianmarco-lorenti/RECOpt
c7916861db033f9d917d05094102194202e3bb09
[ "MIT" ]
1
2021-05-24T13:21:36.000Z
2021-05-24T13:21:36.000Z
# -*- coding: utf-8 -*- """ Created on Wed Oct 28 18:37:58 2020 @author: giamm """ # from tictoc import tic, toc import numpy as np import datareader #routine created to properly read the files needed in the following from load_profiler import load_profiler as lp ##################################################...
37.2
134
0.621969
1,267
9,486
4.479084
0.240726
0.073656
0.033833
0.011454
0.221322
0.170573
0.14185
0.09304
0.065903
0.052863
0
0.012665
0.242568
9,486
255
134
37.2
0.777175
0.731499
0
0
0
0
0.025065
0
0
0
0
0
0
1
0.034483
false
0
0.103448
0
0.137931
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
bb5619127572d5c7abef2ce8289d84bfdb46675d
6,075
py
Python
content/model_funcs.py
nathanlyons/sensitivity_analysis_clinic_CSDMS_2019
ca1ae2cdc5239bae755929f6a92d669a82192813
[ "MIT" ]
null
null
null
content/model_funcs.py
nathanlyons/sensitivity_analysis_clinic_CSDMS_2019
ca1ae2cdc5239bae755929f6a92d669a82192813
[ "MIT" ]
null
null
null
content/model_funcs.py
nathanlyons/sensitivity_analysis_clinic_CSDMS_2019
ca1ae2cdc5239bae755929f6a92d669a82192813
[ "MIT" ]
null
null
null
"""Model functions sensitivity analysis clinic at CSDMS 2019. Written by Nathan Lyons, May 2019 """ from os.path import join from landlab import RasterModelGrid from landlab.components import FastscapeEroder, FlowAccumulator, LinearDiffuser from landlab.io import write_esri_ascii import numpy as np import experiment...
33.196721
79
0.624691
790
6,075
4.53038
0.272152
0.06147
0.039955
0.018441
0.18888
0.17463
0.148645
0.111763
0.111763
0.075999
0
0.012649
0.28428
6,075
182
80
33.379121
0.810488
0.233745
0
0.042105
0
0
0.085293
0.042207
0
0
0
0
0
1
0.042105
false
0
0.063158
0
0.136842
0.021053
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
bb565d6a848c25f10f712bae53673495afeccc03
4,865
py
Python
src/preprocessing.py
jimmystique/AudioClassification
9f9966306068cff7419f6c190752bab4d35b3870
[ "MIT" ]
null
null
null
src/preprocessing.py
jimmystique/AudioClassification
9f9966306068cff7419f6c190752bab4d35b3870
[ "MIT" ]
null
null
null
src/preprocessing.py
jimmystique/AudioClassification
9f9966306068cff7419f6c190752bab4d35b3870
[ "MIT" ]
null
null
null
import os import pandas as pd import pickle as pkl import numpy as np import argparse import yaml import librosa import scipy from scipy.io import wavfile import multiprocessing import time import datetime import socket def resample_wav_data(wav_data, orig_sr, target_sr): """ Resample wav_data from sampling rate ...
41.581197
182
0.763001
765
4,865
4.539869
0.227451
0.068529
0.057587
0.020155
0.460121
0.415203
0.406565
0.394472
0.394472
0.366254
0
0.010638
0.111202
4,865
116
183
41.939655
0.792553
0.159096
0
0.25974
0
0
0.115328
0.006856
0
0
0
0
0
1
0.064935
false
0
0.168831
0
0.25974
0.077922
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
bb5b9e701abf5095d0390b5cf553b81d80794a1b
5,113
py
Python
calaccess_website/views/docs/ccdc.py
california-civic-data-coalition/django-calaccess-downloads
198f3b5b7fca846d9ce7c84f3a5bfa0ff4d3d3f7
[ "MIT" ]
3
2016-09-16T16:50:31.000Z
2021-07-30T23:58:29.000Z
calaccess_website/views/docs/ccdc.py
world-admin/django-calaccess-downloads-website
205480959358f51f4a7f11275fb8f60bd1091025
[ "MIT" ]
193
2016-05-27T16:34:10.000Z
2021-09-24T16:11:04.000Z
calaccess_website/views/docs/ccdc.py
world-admin/django-calaccess-downloads-website
205480959358f51f4a7f11275fb8f60bd1091025
[ "MIT" ]
4
2016-06-14T00:41:19.000Z
2022-01-14T00:29:45.000Z
#!/usr/bin/env python # -*- coding: utf-8 -*- """ Views for CCDC file documetnation pages. """ # Django tricks from django.apps import apps from django.http import Http404 from django.urls import reverse from calaccess_website.templatetags.calaccess_website_tags import slugify # Models from calaccess_processed.models ...
32.775641
113
0.656171
628
5,113
5.146497
0.297771
0.020421
0.02599
0.02599
0.256807
0.150681
0.142327
0.103342
0.103342
0.103342
0
0.005474
0.249756
5,113
155
114
32.987097
0.83707
0.196558
0
0.151899
0
0
0.108143
0.065612
0
0
0
0
0
1
0.151899
false
0
0.088608
0.025316
0.468354
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
bb5c8ea17ee9ecb16f8a2b9c72c06dd3eb1f5f67
2,536
py
Python
comment/models/reactions.py
setayeshmbr/coronavirus_blog
2bb94e905ac7e5401776ac81fd301a90a24f1a9f
[ "MIT" ]
null
null
null
comment/models/reactions.py
setayeshmbr/coronavirus_blog
2bb94e905ac7e5401776ac81fd301a90a24f1a9f
[ "MIT" ]
null
null
null
comment/models/reactions.py
setayeshmbr/coronavirus_blog
2bb94e905ac7e5401776ac81fd301a90a24f1a9f
[ "MIT" ]
null
null
null
from enum import IntEnum, unique from django.contrib.auth import get_user_model from django.db import models from django.db.models.signals import post_delete, post_save from django.dispatch import receiver from django.utils import timezone from comment.models import Comment from comment.managers import ReactionManage...
32.935065
98
0.729101
294
2,536
6.112245
0.27551
0.027824
0.023372
0.035058
0.351697
0.351697
0.351697
0.306066
0.306066
0.244853
0
0.002859
0.172319
2,536
76
99
33.368421
0.853263
0
0
0.181818
0
0
0.022082
0
0
0
0
0
0
1
0.127273
false
0
0.145455
0
0.527273
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
246de88d2fe441aebedc83fc4f8b906aee07ae8a
1,394
py
Python
gorp/test/test_b_option.py
molsonkiko/gorpy
1dceb8bb530a7c7c558d51cedbbbf1cdc9e6f914
[ "MIT" ]
null
null
null
gorp/test/test_b_option.py
molsonkiko/gorpy
1dceb8bb530a7c7c558d51cedbbbf1cdc9e6f914
[ "MIT" ]
null
null
null
gorp/test/test_b_option.py
molsonkiko/gorpy
1dceb8bb530a7c7c558d51cedbbbf1cdc9e6f914
[ "MIT" ]
null
null
null
from gorp.readfiles import * from gorp.test.test_ku_options import setup_tempdir import itertools import unittest og_dirname = os.getcwd() def get_combos(): setup_tempdir() os.chdir(os.path.join(gorpdir, "test", "temp")) base_query = " -b '[bp]l[uo]t' /." gorptags = ["-r", "-l", "-h", "-i", "-c", "-o...
29.041667
91
0.58967
172
1,394
4.581395
0.52907
0.057107
0.057107
0.079949
0.063452
0.063452
0
0
0
0
0
0.000996
0.27977
1,394
47
92
29.659574
0.783865
0
0
0.05
0
0
0.1033
0
0
0
0
0
0.025
1
0.05
false
0
0.1
0
0.2
0.025
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
2471c183baaffa838c1d8f4a682290146e29d206
8,689
py
Python
stancode_projects/Break out games/breakoutgraphics.py
itinghuang/iting-projects
304d41fe8a4b3ae45a01611a8868981f31e72d68
[ "MIT" ]
null
null
null
stancode_projects/Break out games/breakoutgraphics.py
itinghuang/iting-projects
304d41fe8a4b3ae45a01611a8868981f31e72d68
[ "MIT" ]
null
null
null
stancode_projects/Break out games/breakoutgraphics.py
itinghuang/iting-projects
304d41fe8a4b3ae45a01611a8868981f31e72d68
[ "MIT" ]
null
null
null
""" stanCode Breakout Project Adapted from Eric Roberts's Breakout by Sonja Johnson-Yu, Kylie Jue, Nick Bowman, and Jerry Liao YOUR DESCRIPTION HERE """ from campy.graphics.gwindow import GWindow from campy.graphics.gobjects import GOval, GRect, GLabel from campy.gui.events.mouse import onmouseclicked, onmousemoved im...
33.941406
142
0.589711
1,176
8,689
4.167517
0.162415
0.071414
0.026525
0.024485
0.332177
0.289125
0.166293
0.117323
0.106917
0.106917
0
0.019003
0.309587
8,689
255
143
34.07451
0.797966
0.214524
0
0.173333
0
0
0.015601
0
0
0
0
0
0
1
0.093333
false
0
0.026667
0.02
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
24740d66448ac9fd6d0157a46216f7339a2b5d04
6,035
py
Python
cosine_similarity.py
caikehe/YELP_DS
c9baa8626a22d6aca2a786e221bff5e184e521d7
[ "Apache-2.0" ]
null
null
null
cosine_similarity.py
caikehe/YELP_DS
c9baa8626a22d6aca2a786e221bff5e184e521d7
[ "Apache-2.0" ]
null
null
null
cosine_similarity.py
caikehe/YELP_DS
c9baa8626a22d6aca2a786e221bff5e184e521d7
[ "Apache-2.0" ]
null
null
null
import io, json, random import matplotlib.pyplot as plt from sklearn.metrics.pairwise import pairwise_distances from matplotlib.backends.backend_pdf import PdfPages def drawCOSFigure(features, output): histogram1Star = [] histogram2Star = [] histogram3Star = [] histogram4Star = [] hist...
34.485714
89
0.594532
804
6,035
4.38806
0.176617
0.018141
0.018707
0.015873
0.44076
0.427438
0.417234
0.291667
0.291667
0.272676
0
0.087503
0.274731
6,035
174
90
34.683908
0.718529
0.001657
0
0.173611
0
0
0.059097
0.045651
0
0
0
0
0
1
0.013889
false
0
0.027778
0
0.041667
0.013889
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
247640d80add47e8ea829bcb77b7fb6e623ffeff
579
py
Python
cobu/constants.py
tlancaster6/cobu
444f249bdec5b009858011002fa0782520891e2b
[ "MIT" ]
null
null
null
cobu/constants.py
tlancaster6/cobu
444f249bdec5b009858011002fa0782520891e2b
[ "MIT" ]
null
null
null
cobu/constants.py
tlancaster6/cobu
444f249bdec5b009858011002fa0782520891e2b
[ "MIT" ]
null
null
null
import os try: from importlib.metadata import metadata # Python 3.8 except ImportError: from importlib_metadata import metadata # Python < 3.8 COBU_DIR = os.path.dirname(os.path.abspath(__file__)) BASE_DIR = os.path.dirname(COBU_DIR) DATA_DIR = os.path.join(BASE_DIR, 'data') # package metadata _META = metad...
27.571429
59
0.723661
82
579
4.865854
0.439024
0.06015
0.067669
0.135338
0.215539
0.215539
0.215539
0.215539
0
0
0
0.007968
0.132988
579
20
60
28.95
0.786853
0.069085
0
0
0
0
0.142056
0
0
0
0
0
0
1
0
false
0
0.235294
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
2479d7af5d28d64ede7ccc8bebd1054c83190763
885
py
Python
params_flow/utils/learn_scheduler.py
kpe/params-flow
5857dfd67cf15e89803e5987316c81fe6c4cc54d
[ "MIT" ]
23
2019-06-08T17:24:05.000Z
2022-01-16T17:53:15.000Z
params_flow/utils/learn_scheduler.py
kpe/params-flow
5857dfd67cf15e89803e5987316c81fe6c4cc54d
[ "MIT" ]
null
null
null
params_flow/utils/learn_scheduler.py
kpe/params-flow
5857dfd67cf15e89803e5987316c81fe6c4cc54d
[ "MIT" ]
4
2019-09-29T07:25:24.000Z
2020-11-25T15:02:15.000Z
# coding=utf-8 # # created by kpe on 10.08.2019 at 12:39 AM # from __future__ import division, absolute_import, print_function import math from tensorflow import keras def create_one_cycle_lr_scheduler(max_learn_rate=5e-5, end_learn_rate=1e-7, war...
30.517241
100
0.640678
114
885
4.605263
0.491228
0.133333
0.152381
0.08
0.118095
0.118095
0.118095
0
0
0
0
0.03645
0.287006
885
28
101
31.607143
0.795563
0.059887
0
0
0
0
0
0
0
0
0
0
0
1
0.125
false
0
0.1875
0
0.4375
0.0625
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
247aaaa9afe8af3944f0215ec29353a612a9ac89
445
py
Python
cegid/apps/main/urls.py
vsoch/tcell
3c4a19e5c78f1a36a2fe5e0f3229d1d70ef3a2c6
[ "MIT" ]
null
null
null
cegid/apps/main/urls.py
vsoch/tcell
3c4a19e5c78f1a36a2fe5e0f3229d1d70ef3a2c6
[ "MIT" ]
9
2016-08-04T22:56:21.000Z
2016-08-17T20:55:57.000Z
cegid/apps/main/urls.py
vsoch/tcell
3c4a19e5c78f1a36a2fe5e0f3229d1d70ef3a2c6
[ "MIT" ]
1
2016-10-11T04:22:52.000Z
2016-10-11T04:22:52.000Z
from django.views.generic.base import TemplateView from django.conf.urls import patterns, url from .views import index_view, signup_view, about_view, search_view, \ home_view, contact_view urlpatterns = [ url(r'^$', index_view, name="index"), url(r'^search$', search_view, name="search"), url(r'^contact$'...
34.230769
70
0.694382
64
445
4.65625
0.328125
0.067114
0
0
0
0
0
0
0
0
0
0
0.137079
445
12
71
37.083333
0.776042
0
0
0
0
0
0.132584
0
0
0
0
0
0
1
0
false
0
0.272727
0
0.272727
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
247b0f2580310cad3e1f381e524fdce487e2bc44
212
py
Python
students/K33422/Larionova Anastasia/lab 1/task1_client.py
ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021
bb91c91a56d21cec2b12ae4cc722eaa652a88420
[ "MIT" ]
4
2020-09-03T15:41:42.000Z
2021-12-24T15:28:20.000Z
students/K33422/Larionova Anastasia/lab 1/task1_client.py
ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021
bb91c91a56d21cec2b12ae4cc722eaa652a88420
[ "MIT" ]
48
2020-09-13T20:22:42.000Z
2021-04-30T11:13:30.000Z
students/K33422/Larionova Anastasia/lab 1/task1_client.py
ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021
bb91c91a56d21cec2b12ae4cc722eaa652a88420
[ "MIT" ]
69
2020-09-06T10:32:37.000Z
2021-11-28T18:13:17.000Z
import socket sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) sock.connect(('localhost', 7777)) sock.send('Hello, server! :)'.encode('utf-8')) d = sock.recv(1024) print(d.decode('utf-8')) sock.close()
21.2
56
0.70283
33
212
4.454545
0.636364
0.136054
0
0
0
0
0
0
0
0
0
0.051546
0.084906
212
10
57
21.2
0.706186
0
0
0
0
0
0.169014
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
247dc70e6437fecc8408f5935f960b8ac070e582
5,589
py
Python
chapter-4/gridworld.py
epignatelli/Reinforcement-Learning-An-Introduction_exercises
e260cacdb1ec8e51af46da4031054d4c6771322c
[ "MIT" ]
6
2020-12-13T00:34:40.000Z
2022-03-05T03:58:46.000Z
chapter-4/gridworld.py
epignatelli/Reinforcement-Learning-An-Introduction_exercises
e260cacdb1ec8e51af46da4031054d4c6771322c
[ "MIT" ]
null
null
null
chapter-4/gridworld.py
epignatelli/Reinforcement-Learning-An-Introduction_exercises
e260cacdb1ec8e51af46da4031054d4c6771322c
[ "MIT" ]
4
2021-02-03T06:32:24.000Z
2021-09-14T22:46:51.000Z
# MIT License # Copyright (c) 2020 Eduardo Pignatelli # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, me...
39.359155
150
0.627661
789
5,589
4.378961
0.332066
0.052098
0.040521
0.024602
0.141823
0.125036
0.111722
0.097829
0.097829
0.075832
0
0.01868
0.281625
5,589
141
151
39.638298
0.841843
0.485776
0
0.121212
0
0
0.011295
0
0
0
0
0
0
1
0.090909
false
0
0.075758
0
0.287879
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
247eb44c889ef4965c1c10cc694955ebaa4b8ea6
2,571
py
Python
client.py
esperantomerkato/tuner
b3998f6bcaf8acd1b541e2aa0670e0f0a0a8eb7d
[ "BSD-Source-Code" ]
null
null
null
client.py
esperantomerkato/tuner
b3998f6bcaf8acd1b541e2aa0670e0f0a0a8eb7d
[ "BSD-Source-Code" ]
null
null
null
client.py
esperantomerkato/tuner
b3998f6bcaf8acd1b541e2aa0670e0f0a0a8eb7d
[ "BSD-Source-Code" ]
null
null
null
import asyncio import json import websockets from merkato.merkato_config import get_config from merkato.parser import parse from merkato.utils.database_utils import no_merkatos_table_exists, create_merkatos_table, drop_merkatos_table, \ no_exchanges_table_exists, create_exchanges_table, drop_exchanges_table impor...
30.975904
112
0.669
312
2,571
5.269231
0.38141
0.055353
0.041363
0.025547
0.170316
0.124088
0.099757
0
0
0
0
0.004065
0.234539
2,571
83
113
30.975904
0.831301
0
0
0.135593
0
0
0.168802
0
0
0
0
0
0
1
0.016949
false
0
0.118644
0
0.152542
0.033898
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
24801d3763c6b4f5d5fdf3b1bc18bbe2654427a3
356
py
Python
application/web/helper.py
satan1a/poopak
9862f09edc22c030db520e317020b54a36e070ac
[ "curl" ]
91
2019-01-17T13:35:49.000Z
2022-03-30T21:16:37.000Z
application/web/helper.py
satan1a/poopak
9862f09edc22c030db520e317020b54a36e070ac
[ "curl" ]
13
2019-01-13T14:35:51.000Z
2021-04-26T05:13:42.000Z
application/web/helper.py
satan1a/poopak
9862f09edc22c030db520e317020b54a36e070ac
[ "curl" ]
33
2019-01-17T13:37:22.000Z
2022-03-25T09:35:54.000Z
import re def extract_onions(s): result = [] print(s) for m in re.finditer(r'(?:https?://)?(?:www)?(\S*?\.onion)\b', s, re.M | re.IGNORECASE): url = str(m.group(0)) # url = url[len(url) - 22:] # if "'" in url: # url = url[url.index("'")+1:] result.append(url) ...
20.941176
92
0.485955
50
356
3.44
0.58
0.139535
0.104651
0
0
0
0
0
0
0
0
0.016
0.297753
356
16
93
22.25
0.672
0.205056
0
0
0
0
0.134058
0.134058
0
0
0
0
0
1
0.111111
false
0
0.111111
0
0.333333
0.222222
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
248892eac1e0a2c6110682fef0f6ec29d697f548
11,432
py
Python
main_big.py
giorgosouz/HSI-classification-using-state-of-the-art-models
a925972ffe02c2cd1e5dde2b163e1faa854a4966
[ "MIT" ]
null
null
null
main_big.py
giorgosouz/HSI-classification-using-state-of-the-art-models
a925972ffe02c2cd1e5dde2b163e1faa854a4966
[ "MIT" ]
null
null
null
main_big.py
giorgosouz/HSI-classification-using-state-of-the-art-models
a925972ffe02c2cd1e5dde2b163e1faa854a4966
[ "MIT" ]
null
null
null
import torch import torch.utils.data as data from torchsummary import summary from datasets import get_dataset, HyperX,sHyperX from models import get_model, train,test from utils import sample_gt,get_device,metrics,compute_imf_weights import visdom import argparse import numpy as np import cv2 from models_liu import t...
34.33033
121
0.616253
1,374
11,432
4.973071
0.235808
0.038636
0.027367
0.015806
0.240743
0.219377
0.178399
0.152642
0.152642
0.118689
0
0.011257
0.261809
11,432
332
122
34.433735
0.798436
0.200665
0
0.152542
0
0
0.227675
0.005084
0
0
0
0
0
1
0
false
0.011299
0.062147
0
0.062147
0.028249
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
248941d967a1b7d873ad7da541cea91f968f8222
954
py
Python
plusy/spiders/gov_sbir_news.py
OracleGao/plusy
756ed8fe932255ffcf7eed2afdc0b83a85a7548e
[ "Apache-2.0" ]
null
null
null
plusy/spiders/gov_sbir_news.py
OracleGao/plusy
756ed8fe932255ffcf7eed2afdc0b83a85a7548e
[ "Apache-2.0" ]
null
null
null
plusy/spiders/gov_sbir_news.py
OracleGao/plusy
756ed8fe932255ffcf7eed2afdc0b83a85a7548e
[ "Apache-2.0" ]
null
null
null
import scrapy class GovSbirNewsSpider(scrapy.Spider): name = 'gov.sbir.news' start_urls = ["https://www.sbir.gov/news?page=0"] def __init__(self): for page_num in range(1, 23): self.start_urls.append("https://www.sbir.gov/news?page=%d" % page_num) def parse(self, response): ...
39.75
107
0.5587
125
954
4.144
0.384
0.069498
0.11583
0.125483
0.162162
0.162162
0
0
0
0
0
0.005698
0.264151
954
23
108
41.478261
0.732194
0
0
0
0
0
0.30608
0.027254
0
0
0
0
0
1
0.105263
false
0
0.052632
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
248b843beb808fda7506840e01537e62bc25f9dc
4,697
py
Python
schedule/forms.py
yourcelf/masterschedule
e585df0e9edcaff5fa4f04f77a9452e3073b5db7
[ "Unlicense" ]
1
2015-02-11T04:08:36.000Z
2015-02-11T04:08:36.000Z
schedule/forms.py
yourcelf/masterschedule
e585df0e9edcaff5fa4f04f77a9452e3073b5db7
[ "Unlicense" ]
null
null
null
schedule/forms.py
yourcelf/masterschedule
e585df0e9edcaff5fa4f04f77a9452e3073b5db7
[ "Unlicense" ]
null
null
null
from django import forms from django.forms.models import inlineformset_factory from django.contrib.auth.models import User from django.core.exceptions import ValidationError from schedule.models import * class PersonForm(forms.ModelForm): class Meta: model = Person fields = ['name'] class Availab...
36.410853
103
0.593996
487
4,697
5.607803
0.279261
0.023068
0.030758
0.033687
0.199927
0.127426
0
0
0
0
0
0.000305
0.301895
4,697
128
104
36.695313
0.832571
0
0
0.178571
0
0.008929
0.12178
0
0
0
0
0
0
1
0.044643
false
0
0.044643
0
0.3125
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
248f7384cfb08b1240e64c826352c311afba0e91
16,088
py
Python
LinkTap.py
simplextech/udi-linktap-poly
e51180aecf58e0453bfe444acd2b454e6d3df00d
[ "MIT" ]
2
2020-05-23T18:04:04.000Z
2020-06-22T11:29:03.000Z
LinkTap.py
simplextech/udi-linktap-poly
e51180aecf58e0453bfe444acd2b454e6d3df00d
[ "MIT" ]
11
2020-02-07T02:14:01.000Z
2021-05-03T21:35:01.000Z
LinkTap.py
simplextech/udi-linktap-poly
e51180aecf58e0453bfe444acd2b454e6d3df00d
[ "MIT" ]
1
2020-08-05T01:36:56.000Z
2020-08-05T01:36:56.000Z
#!/usr/bin/env python import sys import linktap import time import logging try: import polyinterface CLOUD = False except ImportError: import pgc_interface as polyinterface CLOUD = True LOGGER = polyinterface.LOGGER logging.getLogger('urllib3').setLevel(logging.INFO) class Controller(polyinterface...
40.422111
122
0.518585
1,622
16,088
5.051171
0.151048
0.032955
0.042841
0.05639
0.534237
0.47211
0.407055
0.363237
0.342732
0.319053
0
0.014676
0.360455
16,088
397
123
40.523929
0.781611
0.042143
0
0.445141
0
0
0.11954
0.001371
0
0
0
0
0
1
0.103448
false
0.009404
0.021944
0
0.181818
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
248f8a8798b422e37a9e5b6af2d4bad26607f584
908
py
Python
src/note_passing.py
fizisist/numerical-methods-pdes
659045a19d8285f12447bb93401062c5e3666e18
[ "CC-BY-4.0", "MIT" ]
100
2016-01-18T21:25:55.000Z
2022-02-03T02:57:22.000Z
src/note_passing.py
QamarQQ/numerical-methods-pdes
d714a9fd2a94110bd0d7bffefb9043e010c4b7f2
[ "CC-BY-4.0", "MIT" ]
7
2016-01-28T04:19:31.000Z
2022-02-06T22:37:08.000Z
src/note_passing.py
QamarQQ/numerical-methods-pdes
d714a9fd2a94110bd0d7bffefb9043e010c4b7f2
[ "CC-BY-4.0", "MIT" ]
82
2016-01-18T23:44:21.000Z
2022-02-06T04:59:14.000Z
#!/usr/bin/env python # encoding: utf-8 """Note passing from Python""" from __future__ import absolute_import from __future__ import print_function from mpi4py import MPI import numpy comm = MPI.COMM_WORLD rank = comm.Get_rank() size = comm.Get_size() tag = 42 N = 10 if rank == 0: data = numpy.arange(N, dtype...
22.146341
56
0.656388
141
908
4.134752
0.368794
0.034305
0.054889
0.075472
0.480274
0.480274
0.480274
0.435678
0.435678
0.435678
0
0.026207
0.201542
908
40
57
22.7
0.777931
0.123348
0
0.375
0
0
0.09264
0
0
0
0
0
0
1
0
false
0
0.166667
0
0.166667
0.166667
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
24903ea9e622fd8f43c25fe974be2913277bb0c6
2,287
py
Python
metanic/settings/development.py
LimpidTech/melody
a00b99f9b697864a078e2cb886be4d75c10458a9
[ "BSD-3-Clause" ]
null
null
null
metanic/settings/development.py
LimpidTech/melody
a00b99f9b697864a078e2cb886be4d75c10458a9
[ "BSD-3-Clause" ]
1
2020-02-11T21:34:24.000Z
2020-02-11T21:34:24.000Z
metanic/settings/development.py
LimpidTech/melody
a00b99f9b697864a078e2cb886be4d75c10458a9
[ "BSD-3-Clause" ]
null
null
null
from metanic.settings.defaults import INSTALLED_APPS from metanic.settings.defaults import MIDDLEWARE from metanic.settings.defaults import REST_FRAMEWORK from metanic.settings.defaults import cache_url from metanic.settings.defaults import env_value from metanic.settings.defaults import project_path # We specificall...
25.131868
76
0.690861
257
2,287
5.88716
0.373541
0.0423
0.087905
0.124917
0.216788
0
0
0
0
0
0
0.02492
0.175339
2,287
90
77
25.411111
0.777306
0.034543
0
0.109589
0
0
0.366893
0.160091
0
0
0
0
0
1
0
false
0
0.09589
0
0.09589
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
249344d6dc4af56e0d60cf084fb8f52348db6021
1,848
py
Python
sensordisplayProject/sensor/views.py
ylf2002/sensor_display
660751e461b1afbf0cd6fd97baa3f8bc05698848
[ "MIT" ]
null
null
null
sensordisplayProject/sensor/views.py
ylf2002/sensor_display
660751e461b1afbf0cd6fd97baa3f8bc05698848
[ "MIT" ]
null
null
null
sensordisplayProject/sensor/views.py
ylf2002/sensor_display
660751e461b1afbf0cd6fd97baa3f8bc05698848
[ "MIT" ]
null
null
null
from sensor.models import Sensors from sensor.serializers import TempSerializer from rest_framework import generics from django.shortcuts import render from django.http import JsonResponse # Create your views here. class sensors_api(generics.ListCreateAPIView): queryset = Sensors.objects.all() ser...
27.58209
117
0.487554
218
1,848
4.110092
0.311927
0.046875
0.05692
0.055804
0.359375
0.359375
0.359375
0.359375
0.359375
0.359375
0
0.000888
0.390693
1,848
66
118
28
0.794849
0.021104
0
0.64
0
0
0.032759
0
0
0
0
0
0
1
0.04
false
0
0.1
0
0.24
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
2495e93dc6a272797419348823761b57f910f2c3
5,798
py
Python
engagement/clearbit_engager.py
drorgarti/SatoriLab
6e57bad2c01d6ee8baa97f915abc001bed974785
[ "MIT" ]
1
2019-06-12T09:02:34.000Z
2019-06-12T09:02:34.000Z
engagement/clearbit_engager.py
drorgarti/SatoriLab
6e57bad2c01d6ee8baa97f915abc001bed974785
[ "MIT" ]
null
null
null
engagement/clearbit_engager.py
drorgarti/SatoriLab
6e57bad2c01d6ee8baa97f915abc001bed974785
[ "MIT" ]
null
null
null
from engagement.engager import Engager from engagement.engagement_exception import EngagementException from entities.acurerate_attributes import P, C from utils.acurerate_utils import AcureRateUtils import clearbit class ClearbitEngager(Engager): ACURATE_TRIAL_KEY = "sk_2a34f937f031587cb2bf4f6ee84a3c70" # Acur...
35.790123
115
0.625388
697
5,798
4.989957
0.177905
0.097757
0.037378
0.031052
0.480736
0.376078
0.253019
0.186889
0.166187
0.166187
0
0.007601
0.273888
5,798
161
116
36.012422
0.818527
0.027768
0
0.283186
0
0
0.174423
0.006217
0
0
0
0.006211
0
1
0.097345
false
0
0.044248
0.044248
0.247788
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
249661029b750065aec2931215cce553b6efc801
666
py
Python
knapsack/ratio.py
dstlmrk/knapsack
357c6b06cca4e743c2d3977d718346b97ee4b11a
[ "MIT" ]
null
null
null
knapsack/ratio.py
dstlmrk/knapsack
357c6b06cca4e743c2d3977d718346b97ee4b11a
[ "MIT" ]
null
null
null
knapsack/ratio.py
dstlmrk/knapsack
357c6b06cca4e743c2d3977d718346b97ee4b11a
[ "MIT" ]
null
null
null
from knapsack import Knapsack class Ratio(Knapsack): """ Ratio sorts all items by ratio of price and weight and adds them into bag step by step, if is it possible. """ def evaluate(self): price = 0 capacity = self.capacity configuration = [0 for i, val in enumerate(self.it...
27.75
65
0.584084
80
666
4.8375
0.525
0.046512
0
0
0
0
0
0
0
0
0
0.006834
0.340841
666
23
66
28.956522
0.874715
0.159159
0
0
0
0
0
0
0
0
0
0
0
1
0.066667
false
0
0.066667
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
249ccac49aa2c5391984dfd6fbfac075310032ca
1,945
py
Python
scrapers/unhcr.py
OCHA-DAP/hdx-scraper-ukraine-viz
149a27c7b6dd3ae8807d063554867aea31f77a38
[ "MIT" ]
1
2022-03-20T21:00:22.000Z
2022-03-20T21:00:22.000Z
scrapers/unhcr.py
OCHA-DAP/hdx-scraper-ukraine-viz
149a27c7b6dd3ae8807d063554867aea31f77a38
[ "MIT" ]
null
null
null
scrapers/unhcr.py
OCHA-DAP/hdx-scraper-ukraine-viz
149a27c7b6dd3ae8807d063554867aea31f77a38
[ "MIT" ]
null
null
null
import logging from hdx.location.country import Country from hdx.scraper.base_scraper import BaseScraper logger = logging.getLogger(__name__) class UNHCR(BaseScraper): def __init__(self, datasetinfo, today, outputs, countryiso3s): super().__init__( "unhcr", datasetinfo, ...
34.122807
88
0.553728
175
1,945
5.971429
0.348571
0.057416
0.038278
0.040191
0.080383
0
0
0
0
0
0
0.009909
0.32545
1,945
56
89
34.732143
0.786585
0
0
0.08
0
0
0.15527
0.02365
0
0
0
0
0
1
0.04
false
0
0.06
0
0.12
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
249d017eb5799d5e056dbd1b6eb003f08d3ffb34
1,167
py
Python
ready_model.py
vitalProjects/curse_project
5768d7413db86b1d1054f0ff1102acfbea773fc7
[ "Apache-2.0" ]
1
2021-03-14T21:38:41.000Z
2021-03-14T21:38:41.000Z
ready_model.py
vitalfect/columnsAgent
5768d7413db86b1d1054f0ff1102acfbea773fc7
[ "Apache-2.0" ]
null
null
null
ready_model.py
vitalfect/columnsAgent
5768d7413db86b1d1054f0ff1102acfbea773fc7
[ "Apache-2.0" ]
null
null
null
from os.path import join import torch import config from models.attention_model import ZReader as ZReader_attn from models.fnet_model import ZReader as ZReader_fnet if __name__ == "__main__": str_true = "thehighwayroundsacurveandtransitionstondstreetrunningeastwardthroughmorefarmlandasthetrunklineappro" \ ...
46.68
119
0.700086
197
1,167
4.015228
0.649746
0.041719
0.045512
0.050569
0.068268
0
0
0
0
0
0
0.012195
0.227078
1,167
24
120
48.625
0.864745
0
0
0
0
0.157895
0.461868
0.084833
0
0
0
0
0
1
0
false
0
0.263158
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
249e34ad03f7c56a8da00f23fe94625ab7a19c26
907
py
Python
meza/__init__.py
SteadBytes/meza
ff1f881fc2a765b383535328456b380e75181b34
[ "MIT" ]
null
null
null
meza/__init__.py
SteadBytes/meza
ff1f881fc2a765b383535328456b380e75181b34
[ "MIT" ]
null
null
null
meza/__init__.py
SteadBytes/meza
ff1f881fc2a765b383535328456b380e75181b34
[ "MIT" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- # vim: sw=4:ts=4:expandtab """ meza ~~~~ Provides methods for reading and processing data from tabular formatted files Attributes: CURRENCIES [tuple(unicode)]: Currency symbols to remove from decimal strings. ENCODING (str): Default file encoding. DEF...
25.194444
77
0.706725
124
907
4.846774
0.653226
0.074875
0
0
0
0
0
0
0
0
0
0.030144
0.158765
907
35
78
25.914286
0.754915
0.390298
0
0
0
0
0.267035
0
0
0
0
0
0
1
0
false
0
0.125
0
0.125
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
249e4e189863ccce071f3265d50900ed737a9d1d
3,590
py
Python
protein_ligand_contacts/contact_extraction/ifg.py
songlab-cal/contact-geometry
81cb7e56af7bccaf5b7f6dde52d9f2adbe89e8bd
[ "MIT" ]
2
2021-11-03T21:00:21.000Z
2021-11-06T21:27:53.000Z
protein_ligand_contacts/contact_extraction/ifg.py
songlab-cal/contact-geometry
81cb7e56af7bccaf5b7f6dde52d9f2adbe89e8bd
[ "MIT" ]
null
null
null
protein_ligand_contacts/contact_extraction/ifg.py
songlab-cal/contact-geometry
81cb7e56af7bccaf5b7f6dde52d9f2adbe89e8bd
[ "MIT" ]
null
null
null
from functional_groups import SMARTS_ATOM_MAP from typing import List, Tuple import numpy as np #typedef xyzcoord = Tuple[float, float, float] class iFG(): ''' iFG class to store information about ligand atoms that make up an iFG, mapping to amino acid residues, as well as the protein residues that inter...
31.769912
157
0.558496
423
3,590
4.491726
0.234043
0.036842
0.047895
0.050526
0.479474
0.39
0.35
0.256842
0.256842
0.218947
0
0.022699
0.32507
3,590
113
158
31.769912
0.761453
0.206128
0
0.266667
0
0
0.025074
0
0
0
0
0
0
1
0.15
false
0
0.05
0.05
0.283333
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
249f953c98713e6e5275f3787508693400d14f46
1,806
py
Python
Other code/Rasterization Script/Python_RasterCalculator.py
Ange-lina/BalticOffshorePotential
fd8af87bfe0bc069fe1ec6fd1c9e175ff1a5a1d3
[ "MIT" ]
2
2020-01-16T17:35:27.000Z
2020-01-16T17:45:54.000Z
Other code/Rasterization Script/Python_RasterCalculator.py
Ange-lina/BalticOffshorePotential
fd8af87bfe0bc069fe1ec6fd1c9e175ff1a5a1d3
[ "MIT" ]
null
null
null
Other code/Rasterization Script/Python_RasterCalculator.py
Ange-lina/BalticOffshorePotential
fd8af87bfe0bc069fe1ec6fd1c9e175ff1a5a1d3
[ "MIT" ]
2
2020-01-17T09:15:26.000Z
2020-01-17T09:16:47.000Z
# -*- coding: utf-8 -*- """ Created on Mon Nov 11 13:35:09 2019 @author: Petronium """ # Import system modules import rasterio from rasterio.plot import show fp1 = r'Bathymetry_Clip.tif' fp2 = r'Shipping_Clip.tif' fp3 = r'WindMap_Clip.tif' bathymetry = rasterio.open(fp1) shipping = rasterio.open(fp2) windspeed = ra...
22.860759
89
0.630676
248
1,806
4.471774
0.427419
0.040577
0.028855
0.036069
0
0
0
0
0
0
0
0.030465
0.272979
1,806
78
90
23.153846
0.814166
0.318937
0
0
0
0
0.094523
0
0
0
0
0
0.035714
1
0.071429
false
0
0.071429
0
0.178571
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
24a456166df9f6ee81fe216b4721ba7faa8166b8
917
py
Python
setup.py
M3TIOR/pyside2-style-test
1000a00c44de90b1d9c2f2ae121ab127d1499ecd
[ "MIT" ]
1
2020-08-14T16:21:22.000Z
2020-08-14T16:21:22.000Z
setup.py
M3TIOR/pyside2-style-test
1000a00c44de90b1d9c2f2ae121ab127d1499ecd
[ "MIT" ]
1
2020-03-27T00:29:04.000Z
2020-03-27T05:59:18.000Z
setup.py
M3TIOR/pyside2-style-test
1000a00c44de90b1d9c2f2ae121ab127d1499ecd
[ "MIT" ]
null
null
null
import setuptools import pyside2_style_test as testkit with open("README.md", "r") as fh: long_description = fh.read() with open("requirements.txt", "r") as req: dependencies = req.read() setuptools.setup( name="m3-pyside2-style-test", version=testkit.__version__, author=testkit.__author__, auth...
29.580645
70
0.708833
109
917
5.743119
0.614679
0.095847
0.127796
0.095847
0
0
0
0
0
0
0
0.01297
0.159215
917
30
71
30.566667
0.798962
0
0
0
0
0
0.376227
0.098146
0
0
0
0
0
1
0
false
0
0.074074
0
0.074074
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
24a66bf1696cb9f471526fbe804dd1d34ee16f6b
1,446
py
Python
presidio-anonymizer/tests/test_anonymizer_result.py
kubistika/presidio
4777d1759e9bddc45317d9b2689e6df9f75eec05
[ "MIT" ]
null
null
null
presidio-anonymizer/tests/test_anonymizer_result.py
kubistika/presidio
4777d1759e9bddc45317d9b2689e6df9f75eec05
[ "MIT" ]
null
null
null
presidio-anonymizer/tests/test_anonymizer_result.py
kubistika/presidio
4777d1759e9bddc45317d9b2689e6df9f75eec05
[ "MIT" ]
null
null
null
from presidio_anonymizer.entities import AnonymizerResult from presidio_anonymizer.entities.anonymized_entity import AnonymizedEntity def test_when_no_params_then_object_initialised_correctly(): res = AnonymizerResult() assert res.text is None assert res.items == [] def test_when_correct_params_then_obj...
26.290909
75
0.70332
197
1,446
4.807107
0.279188
0.095037
0.081309
0.063358
0.438226
0.291447
0.259768
0.259768
0.139388
0.139388
0
0.015038
0.172199
1,446
54
76
26.777778
0.776107
0
0
0.421053
0
0
0.017289
0
0
0
0
0
0.263158
1
0.184211
false
0
0.052632
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
24a6ceaa6ad3a63b821c739a4e853b4bfbbe8d5a
3,637
py
Python
train.py
rickgroen/cov-weighting
64c296679cd37e724a03c6dc107606f7048aec96
[ "MIT" ]
26
2021-01-05T07:10:31.000Z
2022-03-23T06:31:00.000Z
train.py
rickgroen/cov-weighting
64c296679cd37e724a03c6dc107606f7048aec96
[ "MIT" ]
6
2021-04-12T16:27:11.000Z
2022-02-09T07:00:15.000Z
train.py
rickgroen/cov-weighting
64c296679cd37e724a03c6dc107606f7048aec96
[ "MIT" ]
7
2021-03-08T09:28:05.000Z
2022-02-23T07:39:29.000Z
import time import torch # Project imports from utils import * from options import TrainOptions from data_loaders import create_dataloader from methods import create_method class Trainer: """ Trains any of the model methods in methods/ using any of the losses in losses/. Initialize the t...
32.765766
106
0.637613
484
3,637
4.609504
0.299587
0.060511
0.019722
0.026894
0.07082
0.023308
0
0
0
0
0
0.002257
0.269178
3,637
110
107
33.063636
0.837096
0.254605
0
0
0
0
0.076604
0
0
0
0
0
0
1
0.080645
false
0
0.096774
0
0.193548
0.080645
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
24a6f16182dda0c0b9e74d9f007b1abeaf6547e8
1,272
py
Python
Versuch2/task3.4.py
Tobias-Schoch/SSS
f8b078ca7f6482fc7c89d5f9e784a549459eefb7
[ "MIT" ]
null
null
null
Versuch2/task3.4.py
Tobias-Schoch/SSS
f8b078ca7f6482fc7c89d5f9e784a549459eefb7
[ "MIT" ]
null
null
null
Versuch2/task3.4.py
Tobias-Schoch/SSS
f8b078ca7f6482fc7c89d5f9e784a549459eefb7
[ "MIT" ]
1
2022-01-06T12:47:53.000Z
2022-01-06T12:47:53.000Z
import numpy as np import cv2 # -------- Aufgabe3.4 -------- # # Vector um Grenz- und Breitenwert zu speichern vec = np.zeros((5, 2)) crop = ["crop1", "crop2", "crop3", "crop4", "crop5"] # Bild einlesen und in Schwarz - Weiß umwandeln image = cv2.imread('data/korrigiertes_bild2.png', cv2.IMREAD_GRAYSCALE) # Grenz- ...
25.959184
71
0.63522
220
1,272
3.663636
0.427273
0.059553
0.124069
0.14268
0.261787
0
0
0
0
0
0
0.085279
0.225629
1,272
48
72
26.5
0.732995
0.480346
0
0
0
0
0.108865
0.041991
0
0
0
0
0
1
0
false
0
0.083333
0
0.083333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
24a9de62a34b58dfc19d30bea2ba3cdb517e09ee
944
py
Python
data_structures/Stack/stack/Python/stack.py
CarbonDDR/al-go-rithms
8e65affbe812931b7dde0e2933eb06c0f44b4130
[ "CC0-1.0" ]
1,253
2017-06-06T07:19:25.000Z
2022-03-30T17:07:58.000Z
data_structures/Stack/stack/Python/stack.py
rishabh99-rc/al-go-rithms
4df20d7ef7598fda4bc89101f9a99aac94cdd794
[ "CC0-1.0" ]
554
2017-09-29T18:56:01.000Z
2022-02-21T15:48:13.000Z
data_structures/Stack/stack/Python/stack.py
rishabh99-rc/al-go-rithms
4df20d7ef7598fda4bc89101f9a99aac94cdd794
[ "CC0-1.0" ]
2,226
2017-09-29T19:59:59.000Z
2022-03-25T08:59:55.000Z
'''This code is written MTH Junaidi github: Miranjunaidi on 26th Oct 2019 at 7:15 PM IST''' #POP function removes the last element of the list def pop(stack): del stack[-1] return stack #push function adds a new number num to the list at the end. def push(stack,num): stack.append(num) return stack #pr...
29.5
98
0.635593
162
944
3.703704
0.469136
0.025
0.04
0
0
0
0
0
0
0
0
0.029915
0.256356
944
32
99
29.5
0.824786
0.3125
0
0.08
0
0.04
0.297972
0
0
0
0
0
0
1
0.12
false
0
0
0
0.2
0.28
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
24aa16e48945bcc9cda497360276a9d7973aafa9
5,165
py
Python
server.py
Protozzzer/works
2e4ee1443ff8289eabde3c85024037cefba47ea2
[ "Unlicense" ]
null
null
null
server.py
Protozzzer/works
2e4ee1443ff8289eabde3c85024037cefba47ea2
[ "Unlicense" ]
null
null
null
server.py
Protozzzer/works
2e4ee1443ff8289eabde3c85024037cefba47ea2
[ "Unlicense" ]
null
null
null
# -*- coding: cp1251 -* import socket import time import sys from PyQt5 import QtWidgets from threading import Thread from PyQt5 import QtCore from PyQt5.QtWidgets import (QVBoxLayout, QSplitter, QTextEdit, QWidget) from PyQt5.QtGui import QTextCursor import MySQLdb class Settings_server: host = socket.gethostbyn...
38.544776
128
0.548112
575
5,165
4.810435
0.29913
0.060738
0.052061
0.052061
0.223789
0.206797
0.206797
0.185105
0.167028
0.167028
0
0.037838
0.319458
5,165
133
129
38.834586
0.749075
0.004066
0
0.12069
0
0.017241
0.130688
0
0.034483
0
0
0
0
1
0.034483
false
0.017241
0.077586
0
0.172414
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
24aa7d31a941bbe6faa5d7383cec1739d90b532d
2,147
py
Python
lib/ansibledocgen/cli.py
Ymil/ansible-docgen
a69dc8b067861b5a365d6086526d49f3cebfcfc0
[ "MIT" ]
null
null
null
lib/ansibledocgen/cli.py
Ymil/ansible-docgen
a69dc8b067861b5a365d6086526d49f3cebfcfc0
[ "MIT" ]
null
null
null
lib/ansibledocgen/cli.py
Ymil/ansible-docgen
a69dc8b067861b5a365d6086526d49f3cebfcfc0
[ "MIT" ]
null
null
null
""" Command Line Interface Module """ import optparse import sys import os from ansibledocgen.parser.dir import DirParser from ansibledocgen.formatter.markup import MarkupFormatter class Cli(object): """ Command Line Interface for ansible-docgen """ def __init__(self): """ Setup Arguments and Options...
37.666667
85
0.552399
217
2,147
5.396313
0.447005
0.027327
0.038429
0.035867
0.051238
0
0
0
0
0
0
0.00071
0.344201
2,147
56
86
38.339286
0.830966
0.146251
0
0
0
0
0.097561
0
0
0
0
0
0
1
0.05
false
0
0.125
0
0.2
0.025
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
24aed837d0532b684b7fafa445f36bb47a201801
1,904
py
Python
missing_strat/inference/decomposition.py
tritas/missing_strat
79abbcadfc8d2074f05f7e72de4f7d454a847a9c
[ "BSD-3-Clause" ]
null
null
null
missing_strat/inference/decomposition.py
tritas/missing_strat
79abbcadfc8d2074f05f7e72de4f7d454a847a9c
[ "BSD-3-Clause" ]
null
null
null
missing_strat/inference/decomposition.py
tritas/missing_strat
79abbcadfc8d2074f05f7e72de4f7d454a847a9c
[ "BSD-3-Clause" ]
null
null
null
# -*- coding: utf-8 -*- """ Created on Fri Jul 15 16:20:49 2016 @author: Philippe """ import numpy as np from scipy.sparse.linalg import svds from functools import partial def em_svd(Y, k=None, tol=1e-3, maxiter=None): """ Approximate SVD on data with missing values via expectation-maximization Paramet...
27.2
76
0.601366
280
1,904
4.014286
0.442857
0.031139
0.014235
0.030249
0.019573
0
0
0
0
0
0
0.016357
0.293592
1,904
69
77
27.594203
0.819331
0.459034
0
0
0
0
0
0
0
0
0
0
0
1
0.035714
false
0
0.107143
0
0.178571
0.035714
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
24b05ec839f0838d72624fea140291ea0a77d8e1
500
py
Python
Resources/books/deep_learning_time_series_forecasting/code/chapter_11/02_average_forecast.py
gdepalma93/bright-athlete-academy
54ba0cc6633637c1bd6d90120153e04b981244bf
[ "MIT" ]
null
null
null
Resources/books/deep_learning_time_series_forecasting/code/chapter_11/02_average_forecast.py
gdepalma93/bright-athlete-academy
54ba0cc6633637c1bd6d90120153e04b981244bf
[ "MIT" ]
null
null
null
Resources/books/deep_learning_time_series_forecasting/code/chapter_11/02_average_forecast.py
gdepalma93/bright-athlete-academy
54ba0cc6633637c1bd6d90120153e04b981244bf
[ "MIT" ]
null
null
null
# example of an average forecast from numpy import mean from numpy import median # one-step average forecast def average_forecast(history, config): n, avg_type = config # mean of last n values if avg_type is 'mean': return mean(history[-n:]) # median of last n values return median(history[-n:]) # define datase...
26.315789
68
0.698
91
500
3.791209
0.505495
0.173913
0.086957
0.075362
0
0
0
0
0
0
0
0.078947
0.164
500
19
69
26.315789
0.746411
0.274
0
0
0
0
0.022409
0
0
0
0
0
0
1
0.090909
false
0
0.181818
0
0.454545
0.181818
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
24b9c10a0c8dd0aa24e9fa4c47c3053ceaf8be37
3,610
py
Python
sumo/tests/netedit/additionalElements/chargingstation/create/test.sikuli/test.py
iltempe/osmosi
c0f54ecdbb7c7b5602d587768617d0dc50f1d75d
[ "MIT" ]
null
null
null
sumo/tests/netedit/additionalElements/chargingstation/create/test.sikuli/test.py
iltempe/osmosi
c0f54ecdbb7c7b5602d587768617d0dc50f1d75d
[ "MIT" ]
null
null
null
sumo/tests/netedit/additionalElements/chargingstation/create/test.sikuli/test.py
iltempe/osmosi
c0f54ecdbb7c7b5602d587768617d0dc50f1d75d
[ "MIT" ]
2
2017-12-14T16:41:59.000Z
2020-10-16T17:51:27.000Z
#!/usr/bin/env python """ @file test.py @author Pablo Alvarez Lopez @date 2016-11-25 @version $Id$ python script used by sikulix for testing netedit SUMO, Simulation of Urban MObility; see http://sumo.dlr.de/ Copyright (C) 2009-2017 DLR/TS, Germany This file is part of SUMO. SUMO is free software; you can red...
26.940299
76
0.789474
439
3,610
6.487472
0.359909
0.172051
0.073736
0.105337
0.459621
0.352177
0.317416
0.30302
0.295646
0.295646
0
0.035287
0.120776
3,610
133
77
27.142857
0.862004
0.477008
0
0.302326
0
0
0.099837
0
0
0
0
0
0
1
0
false
0
0.069767
0
0.069767
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
24babe270e3cb016bf9a05e1484aec6a6bfc25c7
360
py
Python
nlputils/subset.py
shaun-russell/nlp
5d6a80ce146b4904dc8bc49d8353da85957b74eb
[ "MIT" ]
1
2018-11-19T00:19:11.000Z
2018-11-19T00:19:11.000Z
nlputils/subset.py
shaun-russell/nlp
5d6a80ce146b4904dc8bc49d8353da85957b74eb
[ "MIT" ]
null
null
null
nlputils/subset.py
shaun-russell/nlp
5d6a80ce146b4904dc8bc49d8353da85957b74eb
[ "MIT" ]
null
null
null
''' Extract a subset of lines from a file. ''' import random def extract_n(datalist, number, save_header=True): start = 1 if save_header else 0 subset = [] if save_header: subset.append(datalist[0]) sample_indices = random.sample(range(start, len(datalist)), number) for idx in sample_indices: subset...
24
69
0.713889
53
360
4.735849
0.566038
0.119522
0.095618
0
0
0
0
0
0
0
0
0.010135
0.177778
360
14
70
25.714286
0.837838
0.105556
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
24bdbfaa7f1f765ba8654015611f4aa1bebb433a
2,005
py
Python
SLClassifier/RepLoader.py
zhangrenyuuchicago/AdvReg4Intpltn
e6ce5a4db8213f0b6e7ba30f3f82375044c8dab0
[ "MIT" ]
null
null
null
SLClassifier/RepLoader.py
zhangrenyuuchicago/AdvReg4Intpltn
e6ce5a4db8213f0b6e7ba30f3f82375044c8dab0
[ "MIT" ]
null
null
null
SLClassifier/RepLoader.py
zhangrenyuuchicago/AdvReg4Intpltn
e6ce5a4db8213f0b6e7ba30f3f82375044c8dab0
[ "MIT" ]
null
null
null
import torch import torch.utils.data import numpy as np import csv import random import scvi import scanpy as sc import json from collections import Counter import json import os def convert_num(labels): if os.path.exists('label2id.json'): with open('label2id.json', 'r') as j: label2id = json....
26.733333
60
0.558105
259
2,005
4.169884
0.293436
0.044444
0.027778
0.037037
0
0
0
0
0
0
0
0.013473
0.333666
2,005
74
61
27.094595
0.79491
0
0
0.0625
0
0
0.03493
0
0
0
0
0
0
1
0.09375
false
0
0.171875
0.03125
0.359375
0.015625
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
24bddb341b044ae3fa62fcdfa2048a65f4b08738
1,091
py
Python
MatplotlibView.py
thekoc/ginkgo-sql-gui
f5f2523df42d505ffdc06b3a1b80dba4181c7b83
[ "Apache-2.0" ]
null
null
null
MatplotlibView.py
thekoc/ginkgo-sql-gui
f5f2523df42d505ffdc06b3a1b80dba4181c7b83
[ "Apache-2.0" ]
null
null
null
MatplotlibView.py
thekoc/ginkgo-sql-gui
f5f2523df42d505ffdc06b3a1b80dba4181c7b83
[ "Apache-2.0" ]
null
null
null
# -*- coding: utf-8 -* import wx import matplotlib matplotlib.use("WxAgg") from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas from matplotlib.backends.backend_wx import NavigationToolbar2Wx from matplotlib.figure import Figure class MatplotlibPanel(wx.Panel): def __init__(self, parent...
30.305556
79
0.670027
135
1,091
5.251852
0.422222
0.050776
0.062059
0.081805
0
0
0
0
0
0
0
0.01049
0.213566
1,091
35
80
31.171429
0.815851
0.018332
0
0
0
0
0.019645
0
0
0
0
0
0
1
0.068966
false
0
0.172414
0
0.310345
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
24be2797fcd66e9b0985981bbaefcaaccc754cde
3,608
py
Python
examples/export_create_tables.py
danicarrion/carto-python
631b018f065960baa35473e2087ce598560b9e17
[ "BSD-3-Clause" ]
85
2016-08-07T16:46:58.000Z
2022-03-23T01:44:02.000Z
examples/export_create_tables.py
danicarrion/carto-python
631b018f065960baa35473e2087ce598560b9e17
[ "BSD-3-Clause" ]
109
2016-08-02T18:40:04.000Z
2021-08-23T08:08:02.000Z
examples/export_create_tables.py
danicarrion/carto-python
631b018f065960baa35473e2087ce598560b9e17
[ "BSD-3-Clause" ]
29
2016-11-29T03:42:47.000Z
2022-01-23T17:37:11.000Z
import argparse import os import re import warnings from carto.auth import APIKeyAuthClient from carto.datasets import DatasetManager from carto.sql import SQLClient warnings.filterwarnings('ignore') # set input arguments parser = argparse.ArgumentParser( description='Exports the CREATE TABLE scripts of all the ...
33.719626
97
0.624169
473
3,608
4.585624
0.331924
0.036883
0.0355
0.029507
0.142462
0.111572
0.06639
0.043338
0.043338
0
0
0.001496
0.259146
3,608
106
98
34.037736
0.809951
0.033259
0
0
0
0
0.269385
0.006031
0
0
0
0
0
1
0
false
0
0.093023
0
0.093023
0.034884
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
24be8697b54674c0e0b86a367e1a14ca3ae70fb3
669
py
Python
peer.py
hmccreanor/voip
c37ae98f53700c5d17bd8af83dbece1702f0bd10
[ "MIT" ]
null
null
null
peer.py
hmccreanor/voip
c37ae98f53700c5d17bd8af83dbece1702f0bd10
[ "MIT" ]
null
null
null
peer.py
hmccreanor/voip
c37ae98f53700c5d17bd8af83dbece1702f0bd10
[ "MIT" ]
null
null
null
import socket import sys import threading import time import pyaudio recipient = sys.argv[1] inPort = int(sys.argv[2]) outPort = int(sys.argv[3]) def poll(sock): while True: data, addr = sock.recvfrom(1024) print(data.decode()) inSock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) outSock = s...
19.114286
61
0.675635
91
669
4.923077
0.527473
0.107143
0.044643
0.089286
0.174107
0.174107
0.174107
0.174107
0
0
0
0.012844
0.185351
669
34
62
19.676471
0.809174
0
0
0.08
0
0
0.002994
0
0
0
0
0
0
1
0.04
false
0
0.2
0
0.24
0.04
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
24bf2e20956de8f312c50f5e50f0efe1c031e2db
10,450
py
Python
CorrNet/main.py
hcji/CorrNet
373c425a3c17ce29ace1e9d9403d8300b3e5d93b
[ "MIT" ]
2
2019-11-28T14:04:19.000Z
2020-09-01T08:59:25.000Z
CorrNet/main.py
hcji/CorrNet
373c425a3c17ce29ace1e9d9403d8300b3e5d93b
[ "MIT" ]
null
null
null
CorrNet/main.py
hcji/CorrNet
373c425a3c17ce29ace1e9d9403d8300b3e5d93b
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """ Created on Fri Sep 13 09:14:27 2019 @author: hcji """ import os os.environ["CUDA_VISIBLE_DEVICES"] = "-1" # 这一行注释掉就是使用cpu,不注释就是使用gpu import numpy as np import keras.backend as K from keras.models import Model from keras.layers import Input, Dense, Add, concatenate, Conv1D, MaxPooling1D, ...
33.928571
101
0.598852
1,439
10,450
4.116053
0.121612
0.07091
0.04052
0.038494
0.728516
0.68884
0.672126
0.647138
0.604592
0.592774
0
0.025846
0.270622
10,450
308
102
33.928571
0.751246
0.031962
0
0.662162
0
0
0.01764
0
0
0
0
0
0
1
0.13964
false
0
0.036036
0.018018
0.301802
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
24c8220e8ee9158d4486cc7075172e26d11d35e1
3,847
py
Python
discordSuperUtils/Ban.py
adam757521/discordSuperUtils-splitted
7221cd0461be5311e4c51e93e332bdfaa92ae2b2
[ "MIT" ]
2
2021-09-09T02:56:38.000Z
2021-09-09T03:55:49.000Z
discordSuperUtils/Ban.py
Z1R343L/discord-super-utils
c3b8c224ebe59a5acba1b9069c52cce029fdf9c4
[ "MIT" ]
null
null
null
discordSuperUtils/Ban.py
Z1R343L/discord-super-utils
c3b8c224ebe59a5acba1b9069c52cce029fdf9c4
[ "MIT" ]
null
null
null
from __future__ import annotations import asyncio from datetime import datetime from typing import ( TYPE_CHECKING, Union, Optional ) import discord from .Base import DatabaseChecker from .Punishments import Punisher if TYPE_CHECKING: from .Punishments import Punishment from discord.ext import c...
34.348214
119
0.597089
445
3,847
5.020225
0.276404
0.048344
0.016115
0.024172
0.140555
0.091316
0.046553
0.046553
0.046553
0
0
0.001857
0.300234
3,847
111
120
34.657658
0.828009
0.023395
0
0.026316
0
0
0.063483
0
0
0
0
0
0
1
0.013158
false
0
0.118421
0
0.210526
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
24c94333f1c59b0fa2a2847c041b962bdb757ab4
2,393
py
Python
mogp_emulator/demos/kdr_demos.py
EXAUQ/mogp-emulator
9d5772135498bdf5b95b44b4afb065c2c266f899
[ "MIT" ]
21
2021-01-20T07:02:12.000Z
2022-03-30T21:09:04.000Z
mogp_emulator/demos/kdr_demos.py
EXAUQ/mogp-emulator
9d5772135498bdf5b95b44b4afb065c2c266f899
[ "MIT" ]
114
2019-04-25T14:53:11.000Z
2021-01-06T17:07:41.000Z
mogp_emulator/demos/kdr_demos.py
EXAUQ/mogp-emulator
9d5772135498bdf5b95b44b4afb065c2c266f899
[ "MIT" ]
8
2021-02-02T08:56:12.000Z
2022-02-15T10:03:15.000Z
import mogp_emulator import numpy as np # simple Dimension Reduction examples # simulator function -- returns a single "important" dimension from # at least 4 inputs def f(x): return (x[0]-x[1]+2.*x[3])/3. # Experimental design -- create a design with 5 input parameters # all uniformly distributed over [0,1]. ...
29.182927
83
0.654409
340
2,393
4.508824
0.352941
0.067841
0.046967
0.017613
0.307241
0.294194
0.265493
0.255708
0.255708
0.255708
0
0.012821
0.185123
2,393
81
84
29.54321
0.773333
0.361889
0
0.307692
0
0
0.172388
0
0
0
0
0
0
1
0.038462
false
0
0.076923
0.038462
0.153846
0.192308
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
24ce5f9fcb194a70d3a391932da2b7673b304ad3
3,969
py
Python
2_vae_denoiser_data_gen.py
Ladvien/denoising_vae
c61433a41ba69ca305ab1a7b526f8560a70bad4e
[ "MIT" ]
null
null
null
2_vae_denoiser_data_gen.py
Ladvien/denoising_vae
c61433a41ba69ca305ab1a7b526f8560a70bad4e
[ "MIT" ]
null
null
null
2_vae_denoiser_data_gen.py
Ladvien/denoising_vae
c61433a41ba69ca305ab1a7b526f8560a70bad4e
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Wed Nov 11 17:27:59 2020 @author: ladvien """ import sys import os import cv2 import numpy as np from random import randint import matplotlib.pyplot as plt image_tools_path = "/home/ladvien/deep_arcane/" sys.path.append(image_tools_path) from image_ut...
26.111842
106
0.581759
541
3,969
4.066543
0.295749
0.040909
0.025455
0.017727
0.285455
0.151818
0.123636
0.07
0.07
0.07
0
0.031553
0.297304
3,969
151
107
26.284768
0.757261
0.046107
0
0.104167
0
0
0.061878
0.029056
0
0
0
0
0
1
0.010417
false
0
0.072917
0
0.125
0.020833
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
24dd3da7f5133aac9176f92bd1db427450396bd2
1,509
py
Python
sweat/io/generic.py
GoldenCheetah/sweatpy
eed6b34ff75c16fcbad878caded8ee4d18dea589
[ "MIT" ]
58
2018-03-10T08:26:10.000Z
2022-03-20T11:23:50.000Z
sweat/io/generic.py
GoldenCheetah/sweatpy
eed6b34ff75c16fcbad878caded8ee4d18dea589
[ "MIT" ]
19
2018-03-10T13:09:49.000Z
2022-03-18T10:31:19.000Z
sweat/io/generic.py
GoldenCheetah/sweatpy
eed6b34ff75c16fcbad878caded8ee4d18dea589
[ "MIT" ]
20
2018-03-09T19:16:15.000Z
2022-03-08T00:21:38.000Z
from pathlib import Path from typing import Generator, Union import pandas as pd from .fit import read_fit from .gpx import read_gpx from .tcx import read_tcx def read_file(fpath: Union[str, Path], *args, **kwargs) -> pd.DataFrame: """This method tries to recognize the file type of the fpath argument by reading...
26.946429
122
0.656064
211
1,509
4.616114
0.388626
0.032854
0.049281
0.030801
0.075975
0.075975
0.075975
0.075975
0.075975
0
0
0
0.259112
1,509
55
123
27.436364
0.871199
0.386349
0
0
0
0
0.103687
0
0
0
0
0
0.038462
1
0.076923
false
0
0.230769
0
0.346154
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
24de9ab8b2a618abe1a2446b71c946a46ce2cf44
5,542
py
Python
python/import_gnomad_vep.py
mkanai/slalom-paper
3d96b1778bdb3d91ac7bf70667460a88c2db530a
[ "MIT" ]
null
null
null
python/import_gnomad_vep.py
mkanai/slalom-paper
3d96b1778bdb3d91ac7bf70667460a88c2db530a
[ "MIT" ]
null
null
null
python/import_gnomad_vep.py
mkanai/slalom-paper
3d96b1778bdb3d91ac7bf70667460a88c2db530a
[ "MIT" ]
null
null
null
import argparse import hail as hl from gnomad.utils.vep import ( process_consequences, filter_vep_to_canonical_transcripts, get_most_severe_consequence_for_summary, CSQ_CODING_HIGH_IMPACT, CSQ_CODING_MEDIUM_IMPACT, CSQ_CODING_LOW_IMPACT, CSQ_NON_CODING, ) from hail.genetics import reference...
41.358209
136
0.690184
720
5,542
4.9625
0.227778
0.054576
0.025189
0.032746
0.366639
0.326336
0.29555
0.252729
0.141058
0.111951
0
0.015432
0.181523
5,542
133
137
41.669173
0.772266
0.003428
0
0.070796
0
0.00885
0.209745
0.127694
0
0
0
0
0
1
0.017699
false
0
0.061947
0
0.088496
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
24dfeb32f732cda7cc1bd5475ac2eba78563c4bb
1,196
py
Python
tests/tools.py
tkonopka/crossmap
237e4319a77281490c4e037918977230fea43d7e
[ "MIT" ]
1
2021-08-12T11:40:10.000Z
2021-08-12T11:40:10.000Z
tests/tools.py
tkonopka/crossmap
237e4319a77281490c4e037918977230fea43d7e
[ "MIT" ]
null
null
null
tests/tools.py
tkonopka/crossmap
237e4319a77281490c4e037918977230fea43d7e
[ "MIT" ]
null
null
null
""" Helper functions used within the test suite """ import glob from contextlib import suppress from os import environ, remove, rmdir from os.path import join, exists from pymongo import MongoClient def remove_file(files): """remove a single file if it exists.""" for f in files: if exists(f): ...
27.813953
78
0.686455
163
1,196
4.895706
0.380368
0.06015
0.075188
0
0
0
0
0
0
0
0
0.008502
0.213211
1,196
42
79
28.47619
0.839532
0.142977
0
0
0
0
0.071928
0
0
0
0
0
0
1
0.12
false
0.04
0.2
0
0.32
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
24e2ecbea1b137afbbe27a88d7fa408842091b46
1,131
py
Python
examples/scripts/flatten.py
bcdev/nc2zarr
4ba4829d78c4bda593515685729d32baa83cabc2
[ "MIT" ]
5
2021-01-08T14:16:31.000Z
2021-09-13T04:56:40.000Z
examples/scripts/flatten.py
bcdev/nc2zarr
4ba4829d78c4bda593515685729d32baa83cabc2
[ "MIT" ]
42
2021-01-06T11:01:12.000Z
2022-03-04T15:46:15.000Z
examples/scripts/flatten.py
bcdev/nc2zarr
4ba4829d78c4bda593515685729d32baa83cabc2
[ "MIT" ]
2
2020-12-28T08:51:27.000Z
2021-08-13T12:46:04.000Z
#!/usr/bin/env python3 """Rechunk a Zarr with chunks of size 1 in time, full size in lat/lon. If s3fs is installed, "s3://..." arguments can be used and credentials will be read from standard environment variables or files (see s3fs docs). The output dataset will have the same data as the input dataset, rechunked so...
29.763158
74
0.709991
180
1,131
4.311111
0.455556
0.03866
0.018041
0
0
0
0
0
0
0
0
0.0076
0.185676
1,131
37
75
30.567568
0.834962
0.42794
0
0
0
0
0.110938
0
0
0
0
0
0
1
0.105263
false
0
0.105263
0
0.210526
0.052632
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
24e403742d04ac820900a705be239f8e41ce14fb
4,724
py
Python
algorythmic_heights/scc/scc.py
localmonkey/rosalind
dceab11d4938c1325075988be091abd3a5d25824
[ "MIT" ]
null
null
null
algorythmic_heights/scc/scc.py
localmonkey/rosalind
dceab11d4938c1325075988be091abd3a5d25824
[ "MIT" ]
null
null
null
algorythmic_heights/scc/scc.py
localmonkey/rosalind
dceab11d4938c1325075988be091abd3a5d25824
[ "MIT" ]
null
null
null
#import numpy as np class MyGrph: def __init__(self, V_quant, E_quant): self.V = V_quant self.E = E_quant self.edges_list = [[]] * (self.V) self.reverse_edges_list = [[]] * (self.V) def build_graph(self, f): for i in range(0, self.E): vertex1, vertex2 = map...
34.481752
103
0.491956
579
4,724
3.7962
0.141623
0.125114
0.059145
0.038217
0.621929
0.545041
0.49818
0.49818
0.454504
0.419017
0
0.01513
0.412362
4,724
136
104
34.735294
0.776657
0.051228
0
0.504425
0
0
0.009003
0
0
0
0
0
0
1
0.070796
false
0
0
0
0.150442
0.00885
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
24e941de480f9fd93454090b5da0fb71dc8afdca
1,193
py
Python
allgemein/test_tastatur.py
kanopus1958/Python
795d0e7c3479032a71e1c1246391772619e1e6ef
[ "MIT" ]
null
null
null
allgemein/test_tastatur.py
kanopus1958/Python
795d0e7c3479032a71e1c1246391772619e1e6ef
[ "MIT" ]
null
null
null
allgemein/test_tastatur.py
kanopus1958/Python
795d0e7c3479032a71e1c1246391772619e1e6ef
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 # Programm : test_tastatur.py # Version : 1.01 # SW-Stand : 17.02.2022 # Autor : Kanopus1958 # Beschreibung : Tastur Beispiel in Python from rwm_steuerung import color as c from rwm_mod01 import show_header import platform import sys G_OS = ('Raspbian', 'Debian') G_HEADER_1...
24.854167
71
0.61777
147
1,193
4.802721
0.585034
0.03966
0.022663
0
0
0
0
0
0
0
0
0.028571
0.266555
1,193
47
72
25.382979
0.778286
0.189438
0
0
0
0
0.167015
0
0
0
0
0
0
1
0.066667
false
0
0.2
0
0.266667
0.1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
24f18b66c7006add174b6858a066253782ef852a
941
py
Python
service.py
DropB1t/ClickerPy
a5142e1afcc27d6e557627dbbf75d8f224213431
[ "MIT" ]
1
2020-09-14T09:35:21.000Z
2020-09-14T09:35:21.000Z
service.py
DropB1t/ClickerPy
a5142e1afcc27d6e557627dbbf75d8f224213431
[ "MIT" ]
null
null
null
service.py
DropB1t/ClickerPy
a5142e1afcc27d6e557627dbbf75d8f224213431
[ "MIT" ]
null
null
null
import socket import struct # Funzione send_names chiede al utente tramite l'input il suo nome da inviare al server def send_name(): while True: name = input('Please enter your nickname (maximum 20 characters) --> ') if len(name) > 0 and len(name) < 21: return name.encode('utf-8') def connect(): ip = inpu...
28.515152
87
0.669501
131
941
4.687023
0.572519
0.078176
0.058632
0.065147
0.110749
0.110749
0.110749
0
0
0
0
0.02834
0.21254
941
33
88
28.515152
0.80027
0.090329
0
0
0
0
0.149708
0
0
0
0
0
0
1
0.08
false
0
0.08
0
0.24
0.04
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
24f20d156732daf62fc69467ac140f84f352da1e
3,586
py
Python
backend/otpvalidation/views.py
beehyv/workforcehealthtracker
ab0f921938e1ee50158c9d2c72a66c534d435eee
[ "Apache-2.0" ]
2
2020-05-10T05:20:04.000Z
2020-05-21T15:29:55.000Z
backend/otpvalidation/views.py
beehyv/workforcehealthtracker
ab0f921938e1ee50158c9d2c72a66c534d435eee
[ "Apache-2.0" ]
null
null
null
backend/otpvalidation/views.py
beehyv/workforcehealthtracker
ab0f921938e1ee50158c9d2c72a66c534d435eee
[ "Apache-2.0" ]
2
2020-05-13T18:21:37.000Z
2020-05-21T15:29:58.000Z
# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); y...
37.747368
93
0.706637
443
3,586
5.604966
0.334086
0.053162
0.048329
0.053162
0.458317
0.414418
0.414418
0.398711
0.398711
0.358437
0
0.005236
0.20106
3,586
95
94
37.747368
0.861431
0.255438
0
0.52459
0
0
0.042296
0
0
0
0
0
0
1
0.04918
false
0
0.098361
0
0.229508
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
24f22fdaa93b5ce8be07b713b821e2b5f86f6a5c
12,386
py
Python
tagnet.py
dbxinj/ynet
01dcf26246f673ee0168b8143596ef7994c24418
[ "Apache-2.0" ]
null
null
null
tagnet.py
dbxinj/ynet
01dcf26246f673ee0168b8143596ef7994c24418
[ "Apache-2.0" ]
null
null
null
tagnet.py
dbxinj/ynet
01dcf26246f673ee0168b8143596ef7994c24418
[ "Apache-2.0" ]
null
null
null
import ynet from util import * from singa.layer import Conv2D, Activation, MaxPooling2D, AvgPooling2D, Flatten, Slice, LRN from singa import initializer from singa import layer from singa import loss from singa import tensor import cPickle as pickle import logging import os import numpy as np from numpy.core.umath_te...
43.612676
182
0.631842
1,819
12,386
4.08851
0.120946
0.133118
0.109722
0.096813
0.638026
0.607503
0.544306
0.529111
0.498992
0.46188
0
0.035825
0.217988
12,386
283
183
43.766784
0.731984
0.013483
0
0.30131
0
0
0.061164
0
0
0
0
0
0.021834
1
0.117904
false
0
0.065502
0.021834
0.31441
0.004367
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
24f51f706d59ef12ae7c9778bb46f43394712322
1,362
py
Python
server/api/processing/models/dim_reduction/umap.py
JBris/dolphin_segmentation
b1d22293720c15038d9c521aed8e7b258d8409aa
[ "MIT" ]
1
2021-05-09T05:40:53.000Z
2021-05-09T05:40:53.000Z
server/api/processing/models/dim_reduction/umap.py
JBris/dolphin_segmentation
b1d22293720c15038d9c521aed8e7b258d8409aa
[ "MIT" ]
null
null
null
server/api/processing/models/dim_reduction/umap.py
JBris/dolphin_segmentation
b1d22293720c15038d9c521aed8e7b258d8409aa
[ "MIT" ]
null
null
null
import cv2 import numpy as np from joblib import load as model_load from api.services.file_select import FileTask def preprocess_images(image_files, img_size): images = [] for file in image_files: img = cv2.imread(file) img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) img = cv2.resize(img...
33.219512
94
0.687225
180
1,362
5.094444
0.372222
0.053435
0.032715
0.030534
0.21374
0.21374
0.21374
0.100327
0.100327
0.100327
0
0.02112
0.200441
1,362
40
95
34.05
0.820937
0.06094
0
0.129032
0
0
0.099057
0.064465
0
0
0
0
0
1
0.129032
false
0
0.129032
0
0.419355
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
24f660253a038a05146b9855744f65f5a06fa0cb
6,099
py
Python
SupportVectorMachine/support_vector_machine.py
DragonYong/Sep-Dragon
674df34a992b449669116c5322596ffc19a21030
[ "MIT" ]
null
null
null
SupportVectorMachine/support_vector_machine.py
DragonYong/Sep-Dragon
674df34a992b449669116c5322596ffc19a21030
[ "MIT" ]
1
2020-09-10T04:05:06.000Z
2020-09-10T04:05:06.000Z
SupportVectorMachine/support_vector_machine.py
DragonYong/Sep-Dragon
674df34a992b449669116c5322596ffc19a21030
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- # @Time : 2020/9/9-22:50 # @Author : TuringEmmy # @Email : yonglonggeng@163.com # @WeChat : csy_lgy # @File : support_vector_machine.py # @Project : Sep-Dragon # ************************************************* import numpy as np import pandas as pd from sklearn.datasets import ...
30.959391
110
0.490572
881
6,099
3.271283
0.204313
0.078071
0.034351
0.041638
0.31263
0.259195
0.199861
0.152672
0.125607
0.075642
0
0.045733
0.358255
6,099
196
111
31.117347
0.690598
0.104279
0
0.102941
0
0
0.016756
0
0
0
0
0
0
1
0.095588
false
0
0.029412
0.007353
0.257353
0.014706
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
24f6f3452f96ca5836016613b2d46de60f6bab90
2,668
py
Python
plaidml2/exec/__init__.py
winnerineast/plaidml
7a7191507f04f0853fed34cfd471ef76aa6d489f
[ "Apache-2.0" ]
1
2019-09-23T05:50:50.000Z
2019-09-23T05:50:50.000Z
plaidml2/exec/__init__.py
kounkounsito/plaidml
615cfce9dac7a5786a8895feadfd2aa13680d6de
[ "Apache-2.0" ]
null
null
null
plaidml2/exec/__init__.py
kounkounsito/plaidml
615cfce9dac7a5786a8895feadfd2aa13680d6de
[ "Apache-2.0" ]
null
null
null
# Copyright 2019 Intel Corporation. import numpy as np import plaidml2 as plaidml import plaidml2.settings as plaidml_settings from plaidml2.ffi import ForeignObject, decode_str, ffi, ffi_call, lib def __init(): ffi_call(lib.plaidml_exec_init) ffi.init_once(__init, 'plaidml_exec_init') def list_devices(): ...
33.772152
92
0.662294
364
2,668
4.585165
0.236264
0.026363
0.047933
0.0713
0.23547
0.219293
0.165368
0.081486
0
0
0
0.00441
0.235008
2,668
78
93
34.205128
0.813327
0.056222
0
0
0
0
0.037788
0
0
0
0
0
0
1
0.148148
false
0
0.074074
0.037037
0.37037
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
24f791043bd9796713489db2bdf00e09dbb2fd36
3,831
py
Python
luna_transformer/model.py
sooftware/luna-transformer
fc06b453478dcfd9b7979b70af1b4f4507597891
[ "MIT" ]
26
2021-07-29T18:05:39.000Z
2022-02-04T20:03:13.000Z
luna_transformer/model.py
sooftware/luna-transformer
fc06b453478dcfd9b7979b70af1b4f4507597891
[ "MIT" ]
null
null
null
luna_transformer/model.py
sooftware/luna-transformer
fc06b453478dcfd9b7979b70af1b4f4507597891
[ "MIT" ]
1
2021-07-31T07:30:02.000Z
2021-07-31T07:30:02.000Z
# MIT License # # Copyright (c) 2021 Soohwan Kim # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, ...
40.755319
113
0.708431
495
3,831
5.292929
0.377778
0.027481
0.019084
0.032061
0
0
0
0
0
0
0
0.01136
0.218742
3,831
93
114
41.193548
0.864016
0.327591
0
0
0
0
0
0
0
0
0
0
0
1
0.038462
false
0
0.115385
0
0.192308
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
24f9bb21ea848732645dd95fdfaf8ef61a4a7e4b
6,726
py
Python
nfbackend/testboard_utils.py
neuralfoo/neuralfoo
d40388cd506d612ceee9ae10d92985c794249c65
[ "MIT" ]
2
2022-01-06T08:18:29.000Z
2022-01-06T08:19:09.000Z
nfbackend/testboard_utils.py
neuralfoo/neuralfoo
d40388cd506d612ceee9ae10d92985c794249c65
[ "MIT" ]
null
null
null
nfbackend/testboard_utils.py
neuralfoo/neuralfoo
d40388cd506d612ceee9ae10d92985c794249c65
[ "MIT" ]
null
null
null
import dbops from loguru import logger import traceback from bson.objectid import ObjectId import utils import global_vars as g import fs_utils def create_testboard(data,userID,organizationID): try: if dbops.check_if_exists("testboards","apiName",data["apiName"]): message = "Testboard name...
26.376471
113
0.610616
714
6,726
5.556022
0.196078
0.026468
0.03025
0.0242
0.306781
0.274515
0.156289
0.156289
0.076128
0.076128
0
0.001449
0.281742
6,726
254
114
26.480315
0.819706
0
0
0.202614
0
0
0.158945
0
0
0
0
0
0
1
0.058824
false
0
0.045752
0
0.248366
0.026144
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
24ffa281701166331532a6d684f818550c073997
4,696
py
Python
language/serene/text_matcher.py
Xtuden-com/language
70c0328968d5ffa1201c6fdecde45bbc4fec19fc
[ "Apache-2.0" ]
1,199
2018-10-16T01:30:18.000Z
2022-03-31T21:05:24.000Z
language/serene/text_matcher.py
Xtuden-com/language
70c0328968d5ffa1201c6fdecde45bbc4fec19fc
[ "Apache-2.0" ]
116
2018-10-18T03:31:46.000Z
2022-03-24T13:40:50.000Z
language/serene/text_matcher.py
Xtuden-com/language
70c0328968d5ffa1201c6fdecde45bbc4fec19fc
[ "Apache-2.0" ]
303
2018-10-22T12:35:12.000Z
2022-03-27T17:38:17.000Z
# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by ...
32.611111
106
0.688671
666
4,696
4.713213
0.318318
0.034406
0.0223
0.014017
0.447276
0.396305
0.353616
0.327493
0.327493
0.327493
0
0.006834
0.221039
4,696
143
107
32.839161
0.851285
0.409072
0
0.3
0
0
0.075637
0
0
0
0
0
0
1
0.085714
false
0
0.128571
0
0.285714
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
70000a0effbae8943e38a948112d24880ec73970
1,099
py
Python
setup.py
hulusibaysal/EksiGundem
6b0130a89c0c42b365dea847027ff3e13c4c4240
[ "MIT" ]
null
null
null
setup.py
hulusibaysal/EksiGundem
6b0130a89c0c42b365dea847027ff3e13c4c4240
[ "MIT" ]
null
null
null
setup.py
hulusibaysal/EksiGundem
6b0130a89c0c42b365dea847027ff3e13c4c4240
[ "MIT" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- from pathlib import Path from setuptools import setup CURRENT_DIR = Path(__file__).parent def get_long_description(): readme_md = CURRENT_DIR / "README.md" with open(readme_md, encoding="utf8") as ld_file: return ld_file.read() setup( name="eksi",...
26.804878
67
0.658781
128
1,099
5.445313
0.695313
0.086083
0.05165
0
0
0
0
0
0
0
0
0.012277
0.184713
1,099
40
68
27.475
0.765625
0.038217
0
0
0
0
0.323223
0.024645
0
0
0
0
0
1
0.032258
false
0
0.064516
0
0.129032
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
7001e2e5450d227861c09e67f69e32ff38986c9e
4,596
py
Python
asci_art.py
JonathanFromm/HackerspaceTemplatePackage
b0bd5e77cd36417901b064e82812d365c55ff421
[ "MIT" ]
null
null
null
asci_art.py
JonathanFromm/HackerspaceTemplatePackage
b0bd5e77cd36417901b064e82812d365c55ff421
[ "MIT" ]
null
null
null
asci_art.py
JonathanFromm/HackerspaceTemplatePackage
b0bd5e77cd36417901b064e82812d365c55ff421
[ "MIT" ]
null
null
null
class bcolors: HEADER = '\033[95m' OKBLUE = '\033[94m' OKGREEN = '\033[92m' WARNING = '\033[93m' FAIL = '\033[91m' ENDC = '\033[0m' BOLD = '\033[1m' UNDERLINE = '\033[4m' def happy_face(): print(' ') print(bcolors.OKGREEN+' ^ ^ '+bcolors.ENDC) print(bcolor...
35.353846
130
0.572454
543
4,596
4.554328
0.163904
0.122928
0.05095
0.092196
0.627578
0.561262
0.450061
0.352608
0.313385
0.261221
0
0.025865
0.301784
4,596
129
131
35.627907
0.74478
0.01349
0
0.27619
0
0
0.13526
0.012798
0
0
0
0
0
1
0.066667
false
0
0
0
0.171429
0.190476
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
70031ea92c28e396deb633661ccd21348ccd84ec
795
py
Python
paths.py
ShuaiW/kaggle-heart
022997f27add953c74af2b371c67d9d86cbdccc3
[ "MIT" ]
182
2016-03-15T01:51:29.000Z
2021-04-21T09:49:05.000Z
paths.py
weidezhang/kaggle-heart
022997f27add953c74af2b371c67d9d86cbdccc3
[ "MIT" ]
1
2018-06-22T16:46:12.000Z
2018-06-22T21:08:09.000Z
paths.py
weidezhang/kaggle-heart
022997f27add953c74af2b371c67d9d86cbdccc3
[ "MIT" ]
61
2016-03-15T00:58:28.000Z
2020-03-06T22:00:41.000Z
"""Module for reading the SETTINGS.json file. """ import json import os with open(os.path.dirname(os.path.realpath(__file__)) + '/SETTINGS.json') as data_file: PATHS = json.load(data_file) TRAIN_DATA_PATH = PATHS["TRAIN_DATA_PATH"] TEST_DATA_PATH = PATHS["VALIDATE_DATA_PATH"] PKL_TRAIN_DATA_PATH = PATHS["PKL_TRA...
34.565217
87
0.8
117
795
4.974359
0.290598
0.154639
0.089347
0.061856
0
0
0
0
0
0
0
0
0.083019
795
22
88
36.136364
0.798354
0.05283
0
0
0
0
0.312332
0.096515
0
0
0
0
0
1
0
false
0
0.117647
0
0.117647
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
700529f087345e2c10ecc73eaeb6cb41b5f20690
433
py
Python
debug/debug08.py
adamlukomski/pykron
5e4c4b840af2cf574dab8417a97b7f0fc4080878
[ "BSD-2-Clause" ]
null
null
null
debug/debug08.py
adamlukomski/pykron
5e4c4b840af2cf574dab8417a97b7f0fc4080878
[ "BSD-2-Clause" ]
null
null
null
debug/debug08.py
adamlukomski/pykron
5e4c4b840af2cf574dab8417a97b7f0fc4080878
[ "BSD-2-Clause" ]
null
null
null
# what not to do - use empty function # race conditions may cause it not to finish right away # but the timeout will catch it # UPDATE: solved in d9c4fad import sys sys.path.append('..') from pykron.core import Pykron, PykronLogger import time app = Pykron() @app.AsyncRequest(timeout=0.5) def fun4(): return ...
16.037037
55
0.727483
64
433
4.890625
0.765625
0.031949
0
0
0
0
0
0
0
0
0
0.019391
0.166282
433
26
56
16.653846
0.847645
0.334873
0
0
0
0
0.028369
0
0
0
0
0
0
1
0.083333
false
0
0.25
0.083333
0.416667
0.083333
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
7005d5f528431853e55b70e8b2c13f2e752e74a6
8,563
py
Python
(sandbox,tobemerged)/pythongis/vector/(old)/geom_safe.py
karimbahgat/pythongis
1042ea14de4e2aafd55de4e01d86b7d379d55999
[ "MIT" ]
4
2015-12-05T14:31:55.000Z
2018-02-09T05:54:36.000Z
(sandbox,tobemerged)/pythongis/vector/(old)/geom_safe.py
karimbahgat/pythongis
1042ea14de4e2aafd55de4e01d86b7d379d55999
[ "MIT" ]
null
null
null
(sandbox,tobemerged)/pythongis/vector/(old)/geom_safe.py
karimbahgat/pythongis
1042ea14de4e2aafd55de4e01d86b7d379d55999
[ "MIT" ]
1
2018-10-24T01:08:11.000Z
2018-10-24T01:08:11.000Z
import sys, os, itertools, operator import datetime import shapely from shapely.geometry import asShape as geoj2geom from shapely.geometry import mapping as geom2geoj import rtree from . import loader class Feature: def __init__(self, table, row, geometry): "geometry must be a geojson dictionary o...
30.045614
185
0.564288
957
8,563
4.99373
0.254963
0.031387
0.012555
0.013601
0.263026
0.216782
0.207993
0.201716
0.171584
0.156518
0
0.000868
0.327105
8,563
284
186
30.151408
0.828532
0.152633
0
0.281437
0
0
0.031399
0
0
0
0
0
0
1
0.155689
false
0.023952
0.041916
0.011976
0.287425
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
70069527a46c915cd2978c2c7d78d1acde10b272
1,970
py
Python
2021/five/day10.py
BenningtonComputing/adventofcode
f162163862e122ac15495e14d138601379fab382
[ "MIT" ]
null
null
null
2021/five/day10.py
BenningtonComputing/adventofcode
f162163862e122ac15495e14d138601379fab382
[ "MIT" ]
null
null
null
2021/five/day10.py
BenningtonComputing/adventofcode
f162163862e122ac15495e14d138601379fab382
[ "MIT" ]
1
2021-12-27T09:31:30.000Z
2021-12-27T09:31:30.000Z
#!/usr/bin/env python3 """ day10-2021.py - my solution to day 10 of advent of code 2021. the link to the problem is: https://adventofcode.com/2021/day/10 use by running `./aoc-day10-2021.py [input]` this code was originally posted here: ...
21.648352
81
0.57868
268
1,970
4.208955
0.399254
0.042553
0.015957
0.033688
0.079787
0.044326
0
0
0
0
0
0.056211
0.268528
1,970
90
82
21.888889
0.726579
0.230457
0
0.142857
0
0
0.053892
0.01996
0
0
0
0
0
1
0.079365
false
0
0.015873
0.015873
0.206349
0.031746
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
7006ed71317775974197d8422ff224edfdfa01ac
9,264
py
Python
nxsdk_modules_ncl/epl/src/computeResults.py
biagiom/models
79489a3c429b3027dd420840bbccfee5e8c9a879
[ "BSD-3-Clause" ]
54
2020-03-04T17:37:17.000Z
2022-02-22T13:16:10.000Z
nxsdk_modules_ncl/epl/src/computeResults.py
biagiom/models
79489a3c429b3027dd420840bbccfee5e8c9a879
[ "BSD-3-Clause" ]
9
2020-08-26T13:17:54.000Z
2021-11-09T09:02:00.000Z
nxsdk_modules_ncl/epl/src/computeResults.py
biagiom/models
79489a3c429b3027dd420840bbccfee5e8c9a879
[ "BSD-3-Clause" ]
26
2020-03-18T17:09:34.000Z
2021-11-22T16:23:14.000Z
# Copyright(c) 2019-2020 Intel Corporation All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # * Redistributions of source code must retain the above copyright # notice, this list of condition...
35.358779
95
0.619603
1,010
9,264
5.662376
0.29703
0.009792
0.014688
0.023081
0.129218
0.099668
0.087952
0.060675
0.043364
0.043364
0
0.023196
0.287997
9,264
261
96
35.494253
0.843845
0.304512
0
0.201149
0
0
0.027922
0
0
0
0
0
0
1
0.051724
false
0.017241
0.022989
0
0.126437
0.022989
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
70093c19345ca7b163a2cb4f6904b25e16e97891
983
py
Python
Spider.py
yxg995995/yxg
7865cb8bd6fca4d59278365afdb96529a7757386
[ "MIT" ]
null
null
null
Spider.py
yxg995995/yxg
7865cb8bd6fca4d59278365afdb96529a7757386
[ "MIT" ]
null
null
null
Spider.py
yxg995995/yxg
7865cb8bd6fca4d59278365afdb96529a7757386
[ "MIT" ]
null
null
null
import requests import json from DataBase import * def getdaydata():#爬取股票每天的价格并插入到数据库保存 durl='''http://quotes.money.163.com/service/chddata.html?code=1000001&start=20200106&end=20210106& fields=TCLOSE;HIGH;LOW;TOPEN;LCLOSE;CHG;PCHG;TURNOVER;VOTURNOVER;VATURNOVER;TCAP;MCAP''' r=requests.get(durl) ...
39.32
102
0.641913
144
983
4.305556
0.597222
0.048387
0.058065
0.106452
0
0
0
0
0
0
0
0.071934
0.137335
983
25
103
39.32
0.659198
0.087487
0
0
0
0.136364
0.332961
0.094972
0
0
0
0
0
1
0.090909
false
0
0.136364
0
0.227273
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
700adc4ff1b09523fb554fd02562d6b99ea12187
3,941
py
Python
testLogReader/testingUtils.py
simcesplatform/LogReader
eadeb7061df6fccdd0c7845284ab1a85df1bc20c
[ "MIT" ]
null
null
null
testLogReader/testingUtils.py
simcesplatform/LogReader
eadeb7061df6fccdd0c7845284ab1a85df1bc20c
[ "MIT" ]
null
null
null
testLogReader/testingUtils.py
simcesplatform/LogReader
eadeb7061df6fccdd0c7845284ab1a85df1bc20c
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- # Copyright 2021 Tampere University and VTT Technical Research Centre of Finland # This software was developed as a part of the ProCemPlus project: https://www.senecc.fi/projects/procemplus # This source code is licensed under the MIT license. See LICENSE in the repository root directory. # Auth...
41.484211
119
0.689165
503
3,941
5.39165
0.383698
0.020649
0.029499
0.016593
0.076696
0.044985
0.044985
0.044985
0.044985
0.044985
0
0.002297
0.226592
3,941
95
120
41.484211
0.887467
0.40269
0
0
0
0
0.145635
0.020353
0
0
0
0
0.097561
1
0.146341
false
0
0.170732
0
0.365854
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
700c2f0c5f5d02e18dff51805b19cfdc82f63425
4,111
py
Python
sqlparse/__init__.py
Yelp/sqlparse
a29c8c1fb827863c6b57d8811ed3b69e982a3877
[ "BSD-3-Clause" ]
4
2015-03-16T17:08:44.000Z
2017-02-21T22:33:18.000Z
sqlparse/__init__.py
Yelp/sqlparse
a29c8c1fb827863c6b57d8811ed3b69e982a3877
[ "BSD-3-Clause" ]
3
2015-09-30T23:53:08.000Z
2016-05-27T18:37:02.000Z
sqlparse/__init__.py
Yelp/sqlparse
a29c8c1fb827863c6b57d8811ed3b69e982a3877
[ "BSD-3-Clause" ]
7
2015-03-16T20:55:44.000Z
2020-06-18T18:17:51.000Z
# Copyright (C) 2008 Andi Albrecht, albrecht.andi@gmail.com # # This module is part of python-sqlparse and is released under # the BSD License: http://www.opensource.org/licenses/bsd-license.php. """Parse SQL statements.""" __version__ = '0.1.14' # Setup namespace from sqlparse import engine from sqlparse import f...
31.868217
78
0.711992
520
4,111
5.548077
0.3
0.037435
0.031196
0.022184
0.267938
0.188908
0.131023
0.131023
0.131023
0.131023
0
0.005128
0.193627
4,111
128
79
32.117188
0.865158
0.363658
0
0.1
0
0
0.063377
0
0
0
0
0
0
1
0.133333
false
0
0.15
0
0.416667
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
700f946fb5baca6452e61d3f1e007eb88ce90d87
1,543
py
Python
ghost/urls.py
Microcore/Quantic
727234a5e9e58217eb8235b6d0f27fe1b95f5f83
[ "MIT" ]
null
null
null
ghost/urls.py
Microcore/Quantic
727234a5e9e58217eb8235b6d0f27fe1b95f5f83
[ "MIT" ]
7
2015-04-25T05:04:46.000Z
2015-04-26T08:24:36.000Z
ghost/urls.py
Microcore/Quantic
727234a5e9e58217eb8235b6d0f27fe1b95f5f83
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- from django.conf.urls import patterns, include, url # Uncomment the next two lines to enable the admin: # from django.contrib import admin # admin.autodiscover() urlpatterns = patterns('', # Login view url(r'^$', 'ghost.views.index_view'), url(r'^login/$', 'ghost.views.lo...
37.634146
65
0.62022
197
1,543
4.80203
0.314721
0.067653
0.084567
0.038055
0.046512
0.046512
0
0
0
0
0
0.00081
0.200259
1,543
40
66
38.575
0.765802
0.289047
0
0
0
0
0.564127
0.382835
0
0
0
0
0
1
0
false
0
0.052632
0
0.052632
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
700ff1e444ff7f1930953d197f9dc705fff91e95
2,094
py
Python
train_val_split.py
chintak/face_detection
8370977f084fd66a9ddcc549a1b4ea8b030d23ac
[ "Apache-2.0" ]
4
2016-05-04T11:27:24.000Z
2018-10-20T15:50:57.000Z
train_val_split.py
chintak/face_detection
8370977f084fd66a9ddcc549a1b4ea8b030d23ac
[ "Apache-2.0" ]
null
null
null
train_val_split.py
chintak/face_detection
8370977f084fd66a9ddcc549a1b4ea8b030d23ac
[ "Apache-2.0" ]
null
null
null
import os import pandas as pd from pandas import read_csv import glob from joblib import Parallel, delayed import numpy as np import argparse def read_facescrub_img_list(folder, actor_label_txt, actress_label_txt, accept_pattern='*.jpg'): full_names = glob.glob(os.path.join(folder, accept_pattern)) only_names...
38.777778
100
0.688634
317
2,094
4.280757
0.343849
0.058954
0.041268
0.029477
0.116433
0.025055
0
0
0
0
0
0.008681
0.174785
2,094
53
101
39.509434
0.77662
0
0
0
0
0
0.124642
0
0
0
0
0
0
1
0.044444
false
0
0.155556
0
0.222222
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
701176938ee12ffb5b5372fd1b648cf68178d256
508
py
Python
Ignatov_Mikhail_dz_9/exercise_2.py
HellFrozenRain/GB_Homework_Python_1
b0baea6b7efecc6bd649618d0aeba93be57a389a
[ "MIT" ]
null
null
null
Ignatov_Mikhail_dz_9/exercise_2.py
HellFrozenRain/GB_Homework_Python_1
b0baea6b7efecc6bd649618d0aeba93be57a389a
[ "MIT" ]
null
null
null
Ignatov_Mikhail_dz_9/exercise_2.py
HellFrozenRain/GB_Homework_Python_1
b0baea6b7efecc6bd649618d0aeba93be57a389a
[ "MIT" ]
null
null
null
class Road: m = 25 def __init__(self, length: int, width:int): self._length = length self._width = width def calculatiion(self, s: int): print(f' road length: {self._length} m') print(f' road width: {self._width} m') print(f' road thikness: {s} cm') result = ...
33.866667
91
0.612205
73
508
4.123288
0.438356
0.13289
0.099668
0.07309
0
0
0
0
0
0
0
0.034667
0.261811
508
15
92
33.866667
0.768
0
0
0
0
0
0.300589
0
0
0
0
0
0
1
0.153846
false
0
0
0
0.384615
0.307692
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
70181f30e72e0f68764f53dfd0b38a713dacd8ea
651
py
Python
chapter 4 - quicksort/binary-search-recursive.py
kingisaac95/grokking-algorithms
32cca84f8b6577deb83fa77e1d9dec754b59b776
[ "Apache-2.0" ]
null
null
null
chapter 4 - quicksort/binary-search-recursive.py
kingisaac95/grokking-algorithms
32cca84f8b6577deb83fa77e1d9dec754b59b776
[ "Apache-2.0" ]
null
null
null
chapter 4 - quicksort/binary-search-recursive.py
kingisaac95/grokking-algorithms
32cca84f8b6577deb83fa77e1d9dec754b59b776
[ "Apache-2.0" ]
null
null
null
# find position of `target` in subarray nums[left…right] def binary_search(list, left, right, target): # base case if left > right: return -1 mid = (left + right) // 2 if list[mid] == target: return mid elif list[mid] > target: # move right pointer to the item before mid ...
26.04
58
0.623656
101
651
3.960396
0.376238
0.15
0.12
0.1
0.285
0.16
0.16
0
0
0
0
0.02714
0.264209
651
24
59
27.125
0.80167
0.22427
0
0
0
0
0
0
0
0
0
0
0
1
0.066667
false
0
0
0
0.333333
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
70190c25c52cf54777c3b3dbdf96f6a2c2775501
4,206
py
Python
scripts/roberta_experiment/roberta_classification_simple.py
sarnthil/emotion-classification-roles
1fdd3a8cbdac5ab2ad9598a101b763882df78280
[ "MIT" ]
1
2022-02-17T14:16:20.000Z
2022-02-17T14:16:20.000Z
scripts/roberta_experiment/roberta_classification_simple.py
sarnthil/emotion-classification-roles
1fdd3a8cbdac5ab2ad9598a101b763882df78280
[ "MIT" ]
null
null
null
scripts/roberta_experiment/roberta_classification_simple.py
sarnthil/emotion-classification-roles
1fdd3a8cbdac5ab2ad9598a101b763882df78280
[ "MIT" ]
null
null
null
import logging import random from pathlib import Path from datetime import datetime, timezone import click import datasets as nlp import torch import numpy as np import pandas as pd from simpletransformers.classification import ClassificationModel from sklearn.metrics import f1_score, accuracy_score, recall_score, pre...
31.62406
194
0.697813
524
4,206
5.354962
0.324427
0.047042
0.036351
0.04918
0.138275
0.138275
0.107627
0.097648
0
0
0
0.006454
0.189491
4,206
132
195
31.863636
0.816662
0.014979
0
0
0
0
0.121044
0.050495
0
0
0
0
0
1
0.090909
false
0
0.161616
0.070707
0.333333
0.010101
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
701cc13b80e73e6036a93390352d580fb8410617
2,552
py
Python
libraries/numbers.py
yoratoni/Euler-Python
8272eed12162a9bdc33302554bb1af30e56a3e8b
[ "MIT" ]
null
null
null
libraries/numbers.py
yoratoni/Euler-Python
8272eed12162a9bdc33302554bb1af30e56a3e8b
[ "MIT" ]
null
null
null
libraries/numbers.py
yoratoni/Euler-Python
8272eed12162a9bdc33302554bb1af30e56a3e8b
[ "MIT" ]
null
null
null
from math import floor, ceil, sqrt, log2 from libraries import Digits class Numbers: @staticmethod def is_perfect_square(n: int) -> bool: '''Returns True if "n" is a perfect square. Explanations: https://www.quora.com/What-is-the-quickest-way-to-determine-if-a-number-is-a-perf...
23.412844
99
0.487461
309
2,552
3.977346
0.28479
0.014646
0.026037
0.039056
0.379984
0.234337
0.138324
0.138324
0.092758
0.092758
0
0.020027
0.413009
2,552
108
100
23.62963
0.800401
0.362853
0
0.25
0
0
0
0
0
0
0
0
0
1
0.138889
false
0
0.055556
0
0.416667
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
701f2a15136d5b62583702284b584bce2f46610e
7,131
py
Python
s4/clarity/utils/artifact_ancestry.py
AvroNelson/s4-clarity-lib
af6f2ec77cdb7f942f5ea3990a61950aa2a1b3a4
[ "MIT" ]
11
2019-04-11T16:29:36.000Z
2022-01-31T18:32:27.000Z
s4/clarity/utils/artifact_ancestry.py
AvroNelson/s4-clarity-lib
af6f2ec77cdb7f942f5ea3990a61950aa2a1b3a4
[ "MIT" ]
9
2019-04-13T17:08:39.000Z
2021-12-07T23:31:01.000Z
s4/clarity/utils/artifact_ancestry.py
AvroNelson/s4-clarity-lib
af6f2ec77cdb7f942f5ea3990a61950aa2a1b3a4
[ "MIT" ]
10
2019-04-13T14:29:43.000Z
2021-04-01T01:35:51.000Z
# Copyright 2017 Semaphore Solutions, Inc. # --------------------------------------------------------------------------- from collections import defaultdict def get_parent_artifacts(lims, artifacts): """ Helper method to get the parent artifacts keyed to the supplied artifacts :param LIMS lims: :par...
47.225166
130
0.715468
924
7,131
5.22619
0.188312
0.082005
0.043487
0.057983
0.349762
0.266308
0.136467
0.086146
0.065024
0.019052
0
0.002152
0.218202
7,131
150
131
47.54
0.864036
0.36741
0
0.057971
0
0.014493
0.050322
0.008272
0
0
0
0
0
1
0.057971
false
0
0.014493
0
0.130435
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
701f6cd529e5e7fa4f16f7edc5345178425ab490
6,829
py
Python
App/softwares_env/softwares/houdini_wizard/plugin.py
Wizard-collab/wizard
c2ec623fe011626716493c232b895fb0513f68ff
[ "MIT" ]
null
null
null
App/softwares_env/softwares/houdini_wizard/plugin.py
Wizard-collab/wizard
c2ec623fe011626716493c232b895fb0513f68ff
[ "MIT" ]
null
null
null
App/softwares_env/softwares/houdini_wizard/plugin.py
Wizard-collab/wizard
c2ec623fe011626716493c232b895fb0513f68ff
[ "MIT" ]
null
null
null
import hou from wizard.prefs.main import prefs from wizard.vars import defaults from wizard.tools import log from wizard.asset import main as asset_core from softwares.houdini_wizard.tools import * from wizard.tools import utility as utils import os import traceback import shutil from wizard.project import wall from wi...
37.729282
126
0.634793
836
6,829
4.863636
0.16866
0.045253
0.041318
0.04427
0.517462
0.44786
0.315298
0.315298
0.275947
0.206099
0
0.007463
0.254356
6,829
180
127
37.938889
0.791045
0
0
0.276119
0
0
0.075571
0.00703
0
0
0
0
0
1
0.052239
false
0
0.097015
0
0.149254
0.007463
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
7022affd5d60868600ba08f00c4b7658c014b223
3,749
py
Python
experiments/overalltests/report.py
WojciechMula/parsing-int-series
f0a45c8b1251018e52dac9ebf1d98e8dfb705755
[ "BSD-2-Clause" ]
19
2018-04-20T06:51:42.000Z
2022-02-24T02:12:00.000Z
experiments/overalltests/report.py
WojciechMula/parsing-int-series
f0a45c8b1251018e52dac9ebf1d98e8dfb705755
[ "BSD-2-Clause" ]
2
2018-04-20T09:53:37.000Z
2018-04-27T19:01:16.000Z
experiments/overalltests/report.py
WojciechMula/parsing-int-series
f0a45c8b1251018e52dac9ebf1d98e8dfb705755
[ "BSD-2-Clause" ]
3
2019-02-25T19:26:51.000Z
2020-11-04T00:50:42.000Z
import sys import os.path if __name__ == '__main__' and __package__ is None: sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))) from table import Table from loader import load from utils import groupby from report_writer import RestWriter from prettyprint import * class Report(objec...
27.566176
106
0.523873
410
3,749
4.614634
0.3
0.05074
0.029598
0.013742
0
0
0
0
0
0
0
0.014994
0.359563
3,749
135
107
27.77037
0.773011
0.029341
0
0.081633
0
0
0.047318
0
0
0
0
0
0
1
0.071429
false
0
0.071429
0.010204
0.204082
0.010204
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
7026d3905231076109cce84e7fcd5feb02e48371
5,376
py
Python
sr/robot3/astoria.py
srobo/sr-robot3
af88d44d681c4f730c2196eaab8c7cbaf4e39d98
[ "MIT" ]
4
2020-08-31T15:33:09.000Z
2022-01-22T18:50:20.000Z
sr/robot3/astoria.py
srobo/sr-robot3
af88d44d681c4f730c2196eaab8c7cbaf4e39d98
[ "MIT" ]
22
2020-07-02T20:59:09.000Z
2022-02-23T20:47:17.000Z
sr/robot3/astoria.py
srobo/sr-robot3
af88d44d681c4f730c2196eaab8c7cbaf4e39d98
[ "MIT" ]
null
null
null
"""Integration with Astoria.""" import asyncio import logging from json import JSONDecodeError, loads from pathlib import Path from typing import Match, NamedTuple, Optional from astoria.common.broadcast_event import StartButtonBroadcastEvent from astoria.common.consumer import StateConsumer from astoria.common.messa...
35.84
89
0.638393
580
5,376
5.746552
0.265517
0.013501
0.018902
0.028803
0.341134
0.268827
0.268827
0.246625
0.246625
0.192619
0
0.002048
0.273438
5,376
149
90
36.080537
0.851254
0.0984
0
0.356436
0
0
0.073618
0
0
0
0
0
0
1
0.059406
false
0.009901
0.09901
0
0.237624
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
702871323b08cb3d0bde41f82365acd11a63fda1
715
py
Python
util/FeatureExtractor.py
GaoZiqiang/Multiview-ObjectDetection
41d28bc15622b4d3a863ba4c8b53b06f6b3b1568
[ "MIT" ]
370
2018-05-22T06:46:35.000Z
2022-03-18T07:20:21.000Z
util/FeatureExtractor.py
GaoZiqiang/Multiview-ObjectDetection
41d28bc15622b4d3a863ba4c8b53b06f6b3b1568
[ "MIT" ]
51
2018-06-21T02:04:07.000Z
2022-03-22T08:25:03.000Z
util/FeatureExtractor.py
GaoZiqiang/Multiview-ObjectDetection
41d28bc15622b4d3a863ba4c8b53b06f6b3b1568
[ "MIT" ]
107
2018-06-04T21:03:04.000Z
2022-03-26T13:38:29.000Z
import torch.nn as nn from IPython import embed class FeatureExtractor(nn.Module): def __init__(self,submodule,extracted_layers): super(FeatureExtractor,self).__init__() self.submodule = submodule self.extracted_layers = extracted_layers def forward(self, x): outputs = [] ...
35.75
69
0.586014
84
715
4.77381
0.440476
0.149626
0.084788
0
0
0
0
0
0
0
0
0.004149
0.325874
715
20
70
35.75
0.827801
0
0
0
0
0
0.018156
0
0
0
0
0
0
1
0.111111
false
0
0.111111
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
702be8919da263b06d997a50b76d2360b8199c9d
3,004
py
Python
BioClients/lincs/Client.py
jeremyjyang/BioClients
b78ab2b948c79616fed080112e31d383346bec58
[ "CC0-1.0" ]
10
2020-05-26T07:29:14.000Z
2021-12-06T21:33:40.000Z
BioClients/lincs/Client.py
jeremyjyang/BioClients
b78ab2b948c79616fed080112e31d383346bec58
[ "CC0-1.0" ]
1
2021-10-05T12:25:30.000Z
2021-10-05T17:05:56.000Z
BioClients/lincs/Client.py
jeremyjyang/BioClients
b78ab2b948c79616fed080112e31d383346bec58
[ "CC0-1.0" ]
2
2021-03-16T03:20:24.000Z
2021-08-08T20:17:10.000Z
#!/usr/bin/env python3 """ LINCS REST API client New (2019) iLINCS: http://www.ilincs.org/ilincs/APIinfo http://www.ilincs.org/ilincs/APIdocumentation (http://lincsportal.ccs.miami.edu/dcic/api/ DEPRECATED?) """ ### import sys,os,argparse,re,time,json,logging # from .. import lincs # ##################################...
34.528736
116
0.689414
413
3,004
4.861985
0.375303
0.053785
0.101594
0.044821
0.11255
0.090637
0.090637
0.033865
0.033865
0
0
0.020068
0.120839
3,004
86
117
34.930233
0.74025
0.067577
0
0
0
0
0.322509
0.033579
0
0
0
0
0
1
0
false
0
0.032787
0
0.032787
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
702ffbf7e8d1d0ad0ebb44737dc759a0391e4cba
13,693
py
Python
datagrid_gtk3/utils/transformations.py
nowsecure/datagrid-gtk3
28083a4b9b4e2e0c7fbe2755d8464d2b02163086
[ "MIT" ]
17
2015-07-02T20:02:42.000Z
2021-05-06T06:08:13.000Z
datagrid_gtk3/utils/transformations.py
esosaja/datagrid-gtk3
28083a4b9b4e2e0c7fbe2755d8464d2b02163086
[ "MIT" ]
32
2015-04-27T16:49:10.000Z
2015-08-25T16:07:29.000Z
datagrid_gtk3/utils/transformations.py
esosaja/datagrid-gtk3
28083a4b9b4e2e0c7fbe2755d8464d2b02163086
[ "MIT" ]
8
2015-04-28T10:45:03.000Z
2016-10-06T08:22:39.000Z
"""Data transformation utils.""" import datetime import logging import HTMLParser from decimal import Decimal import dateutil.parser from gi.repository import Gtk from datagrid_gtk3.utils import imageutils from datagrid_gtk3.utils import dateutils from datagrid_gtk3.utils import stringutils logger = logging.getLog...
30.028509
79
0.682027
1,780
13,693
5.152247
0.176404
0.016792
0.01472
0.022898
0.449133
0.411733
0.379784
0.37684
0.37008
0.37008
0
0.014388
0.238662
13,693
455
80
30.094505
0.865324
0.470459
0
0.277778
0
0
0.092221
0.009572
0
0
0
0.002198
0.022222
1
0.122222
false
0.011111
0.05
0
0.383333
0.005556
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
70308c9bdc16492685bb5f8a040a5a606edea463
3,974
py
Python
src/models/kmeans.py
stevieg3/when-do-reading-comprehension-models-learn
22d348bb9b340ee84ecd135670890c1b1fe0db18
[ "MIT" ]
null
null
null
src/models/kmeans.py
stevieg3/when-do-reading-comprehension-models-learn
22d348bb9b340ee84ecd135670890c1b1fe0db18
[ "MIT" ]
null
null
null
src/models/kmeans.py
stevieg3/when-do-reading-comprehension-models-learn
22d348bb9b340ee84ecd135670890c1b1fe0db18
[ "MIT" ]
null
null
null
import argparse import logging import pandas as pd import numpy as np from tslearn.clustering import TimeSeriesKMeans from tqdm import tqdm logging.basicConfig(format="%(asctime)s - %(message)s", level=logging.INFO) SEEDS = [27, 28, 29] MODELS = ['dbert', 'dbidaf', 'droberta', 'squad'] DEV_DATA_SIZES = { 'dber...
28.797101
118
0.682436
583
3,974
4.319039
0.248714
0.075457
0.128276
0.128276
0.264893
0.21525
0.098491
0.045274
0
0
0
0.012203
0.195773
3,974
137
119
29.007299
0.775657
0.065425
0
0.021505
0
0
0.101221
0.024152
0
0
0
0
0.032258
1
0.043011
false
0
0.064516
0
0.139785
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
7031785a0dfa5b63b843961bc1f7373b3543b899
8,301
py
Python
scripts/analyze_leaderboard.py
VIDA-NYU/alphad3m
db40193a448300d87442c451f9da17fa5cb845fd
[ "Apache-2.0" ]
null
null
null
scripts/analyze_leaderboard.py
VIDA-NYU/alphad3m
db40193a448300d87442c451f9da17fa5cb845fd
[ "Apache-2.0" ]
null
null
null
scripts/analyze_leaderboard.py
VIDA-NYU/alphad3m
db40193a448300d87442c451f9da17fa5cb845fd
[ "Apache-2.0" ]
null
null
null
import os import re import logging import pandas as pd from bs4 import BeautifulSoup from os.path import join, exists, dirname from prettytable import PrettyTable logger = logging.getLogger(__name__) ALL_TA2S = {'NYU-TA2', 'CMU-TA2', 'UCB-TA2', 'Uncharted-TA2', 'SRI-TA2', 'Texas A&M-TA2', 'D3M ENSEMBLE-TA2', 'NEW-NYU...
38.077982
124
0.654499
1,042
8,301
4.980806
0.200576
0.060116
0.056647
0.077071
0.228324
0.108863
0.060501
0
0
0
0
0.011421
0.229972
8,301
217
125
38.253456
0.800532
0.028551
0
0.062857
0
0
0.161951
0.040953
0
0
0
0
0
1
0.034286
false
0
0.04
0
0.102857
0.011429
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
7031e7b7a07729e1593c15fa18b6a42894035c58
522
py
Python
ArmstrongN.py
JHONATAN9A/Algritmo_num_narcisistas
b40cff2588b41efecf180e932cd7a104974d72c7
[ "MIT" ]
null
null
null
ArmstrongN.py
JHONATAN9A/Algritmo_num_narcisistas
b40cff2588b41efecf180e932cd7a104974d72c7
[ "MIT" ]
null
null
null
ArmstrongN.py
JHONATAN9A/Algritmo_num_narcisistas
b40cff2588b41efecf180e932cd7a104974d72c7
[ "MIT" ]
null
null
null
def proceso(num, suma=0): numero = [] for i in str(num): exp = int(i) ** len(str(num)) numero.append(exp) if len(numero) == len(str(num)): total = sum(numero) return num, total numero.clear() entrada = input() datos = [] for i in range(int(entrada)): entrada2 ...
18
37
0.557471
68
522
4.279412
0.455882
0.061856
0.041237
0
0
0
0
0
0
0
0
0.024457
0.295019
522
28
38
18.642857
0.766304
0
0
0
0
0
0.044807
0
0
0
0
0
0
1
0.05
false
0
0
0
0.1
0.1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
7032edb61921b45f1c8f0a54a32060e1a5dc7971
683
py
Python
core/urls.py
mburst/burstolio
aa3c89986b600a2c444ed6a39d07e8f2013e1b7e
[ "BSD-2-Clause" ]
2
2015-10-21T09:00:21.000Z
2017-01-19T09:53:05.000Z
core/urls.py
mburst/burstolio
aa3c89986b600a2c444ed6a39d07e8f2013e1b7e
[ "BSD-2-Clause" ]
6
2021-04-08T18:22:12.000Z
2022-02-10T10:50:11.000Z
core/urls.py
mburst/burstolio
aa3c89986b600a2c444ed6a39d07e8f2013e1b7e
[ "BSD-2-Clause" ]
1
2015-08-18T05:20:59.000Z
2015-08-18T05:20:59.000Z
from django.conf.urls import url from django.views.generic import TemplateView from core import views from core.feeds import rss_feed, atom_feed app_name = 'core' urlpatterns = [ url(r'^$', views.blog, name='home'), url(r'^blog/$', views.blog, name='blog'), url(r'^blog/(?P<slug>.*)/$', views.entry, name=...
35.947368
80
0.66325
96
683
4.625
0.354167
0.081081
0.058559
0
0
0
0
0
0
0
0
0
0.125915
683
19
81
35.947368
0.743719
0
0
0
0
0
0.238304
0
0
0
0
0
0
1
0
false
0
0.25
0
0.25
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
7032f2619f5d9022162264acdbe5700a7785cd5d
1,110
py
Python
clib/printenv.py
7exe/lostia-professional-dev
148b86286abf7bd89f7ff96ba83b5b629442ebd8
[ "MIT" ]
null
null
null
clib/printenv.py
7exe/lostia-professional-dev
148b86286abf7bd89f7ff96ba83b5b629442ebd8
[ "MIT" ]
null
null
null
clib/printenv.py
7exe/lostia-professional-dev
148b86286abf7bd89f7ff96ba83b5b629442ebd8
[ "MIT" ]
null
null
null
import command import sys count = 0 newEnvVarName = [] newEnvVarValue = [] for I in command.env_var_name: newEnvVarName.append(I.replace("\n","")) for I in command.env_var_value: newEnvVarValue.append(I.replace("\n","")) endPrint = False for I in command.env_var_name: if(command.new_arg_parser("-0") or command....
28.461538
99
0.587387
155
1,110
4.103226
0.258065
0.100629
0.122642
0.113208
0.399371
0.358491
0.328616
0.256289
0.256289
0.256289
0
0.015081
0.223423
1,110
38
100
29.210526
0.722738
0
0
0.277778
0
0
0.025225
0
0
0
0
0
0
1
0
false
0
0.055556
0
0.055556
0.138889
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
7036904272e13a83b49efc934453218e894c4ca2
3,050
py
Python
scripts/artifacts/textnowCallLogs.py
JamieSharpe/ALEAPP
acb06736d772d75c9dc0fd58b9f2a1726e795fb4
[ "MIT" ]
null
null
null
scripts/artifacts/textnowCallLogs.py
JamieSharpe/ALEAPP
acb06736d772d75c9dc0fd58b9f2a1726e795fb4
[ "MIT" ]
null
null
null
scripts/artifacts/textnowCallLogs.py
JamieSharpe/ALEAPP
acb06736d772d75c9dc0fd58b9f2a1726e795fb4
[ "MIT" ]
null
null
null
import datetime from scripts.ilapfuncs import timeline, open_sqlite_db_readonly from scripts.plugin_base import ArtefactPlugin from scripts.ilapfuncs import logfunc, tsv from scripts import artifact_report class TextNowCallLogsPlugin(ArtefactPlugin): """ """ def __init__(self): super().__init__(...
37.195122
150
0.543934
324
3,050
4.898148
0.41358
0.041588
0.024575
0.032766
0.061752
0.017643
0.017643
0
0
0
0
0.011874
0.364918
3,050
81
151
37.654321
0.807434
0.038361
0
0.033898
0
0
0.232008
0.019534
0
0
0
0
0
1
0.033898
false
0
0.084746
0
0.152542
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
703b0d817daf3c22ee84731783d61b246681b5da
13,307
py
Python
db_adapter/curw_obs/timeseries/timeseries.py
CUrW-SL/curw_db_adapter
9d9ef24f42080910e0bd251bc7f001b0a4b0ab31
[ "MIT" ]
2
2019-04-26T07:50:33.000Z
2019-09-28T20:15:33.000Z
db_adapter/curw_obs/timeseries/timeseries.py
CUrW-SL/curw_db_adapter
9d9ef24f42080910e0bd251bc7f001b0a4b0ab31
[ "MIT" ]
1
2019-04-03T09:30:38.000Z
2019-04-20T18:11:59.000Z
db_adapter/curw_obs/timeseries/timeseries.py
shadhini/curw_db_adapter
4db8e1ea8794ffbd0dce29ac954a13315e83d843
[ "MIT" ]
null
null
null
import pandas as pd import hashlib import json import traceback from pymysql import IntegrityError from datetime import datetime, timedelta from db_adapter.logger import logger from db_adapter.exceptions import DatabaseAdapterError, DuplicateEntryError from db_adapter.curw_obs.station import StationEnum from db_adapte...
39.841317
128
0.559931
1,466
13,307
4.893588
0.122101
0.028297
0.005854
0.033733
0.689992
0.658907
0.617508
0.605241
0.561751
0.543212
0
0.007956
0.338844
13,307
333
129
39.960961
0.807456
0.344931
0
0.511494
0
0.011494
0.129397
0.0028
0
0
0
0
0
1
0.051724
false
0
0.057471
0
0.166667
0.04023
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
703d952afd1d46ba74ddbc33b7e1cb8c8c05aa16
1,148
py
Python
apps/sales/urls.py
jorgesaw/kstore
4ec6612eeeb96edb7b7bd374fd0520733c58451c
[ "MIT" ]
null
null
null
apps/sales/urls.py
jorgesaw/kstore
4ec6612eeeb96edb7b7bd374fd0520733c58451c
[ "MIT" ]
5
2021-03-19T10:16:00.000Z
2022-02-10T09:16:32.000Z
apps/sales/urls.py
jorgesaw/kstore
4ec6612eeeb96edb7b7bd374fd0520733c58451c
[ "MIT" ]
null
null
null
"""Sales app URLs.""" # Django from django.urls import path, include # Views from .views import customers as customers_views from .views import sales as sales_views urlpatterns = [ path('customers/', customers_views.CustomerFilterListViev.as_view(), name='customers'), path('customers/create/', ...
45.92
110
0.708188
140
1,148
5.65
0.221429
0.075853
0.126422
0.091024
0
0
0
0
0
0
0
0
0.115854
1,148
24
111
47.833333
0.77931
0.025261
0
0
0
0
0.257353
0.088235
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
703da8b7398940bbb0b6d9ff84c7efd2ef81c2cf
671
py
Python
python3/learn-python/Loops and Iterations - For-While Loops.py
Nahid-Hassan/code-snippets
24bd4b81564887822a0801a696001fcbeb6a7a75
[ "MIT" ]
2
2020-09-29T04:09:41.000Z
2020-10-18T13:33:36.000Z
python3/learn-python/Loops and Iterations - For-While Loops.py
Nahid-Hassan/code-snippets
24bd4b81564887822a0801a696001fcbeb6a7a75
[ "MIT" ]
null
null
null
python3/learn-python/Loops and Iterations - For-While Loops.py
Nahid-Hassan/code-snippets
24bd4b81564887822a0801a696001fcbeb6a7a75
[ "MIT" ]
1
2021-12-26T04:55:55.000Z
2021-12-26T04:55:55.000Z
############### for ################### nums = [1, 2, 3, 4, 5] # simple loop for num in nums: print(num) # break keyword for num in nums: if num == 3: print("found") break print(num) # continue keyword for num in nums: if num == 3: print("found") continue print(num...
14.586957
39
0.463487
96
671
3.239583
0.302083
0.07717
0.102894
0.154341
0.385852
0.22508
0.22508
0.22508
0.22508
0.22508
0
0.03956
0.321908
671
45
40
14.911111
0.643956
0.19076
0
0.576923
0
0
0.028078
0
0
0
0
0
0
1
0
false
0
0
0
0
0.346154
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
703eb8f1a89f48d0c52579466960933c96dd59e6
7,830
py
Python
python_scripts/extract.py
Sessa93/continuous-auth-service
c4131521a7960ab709c0eeaf43686ddea9bd8ba2
[ "MIT" ]
9
2018-09-17T07:33:05.000Z
2022-02-13T12:41:03.000Z
python_scripts/extract.py
mykola-nec/keystroke-
e045bbbae1205629a4cc4bd369c0a0b5dd6fd93f
[ "MIT" ]
1
2018-10-24T05:32:08.000Z
2018-10-24T05:32:08.000Z
python_scripts/extract.py
mykola-nec/keystroke-
e045bbbae1205629a4cc4bd369c0a0b5dd6fd93f
[ "MIT" ]
3
2018-10-20T14:37:23.000Z
2021-04-19T13:45:00.000Z
# pylint: disable = C0111, C0103, C0411, C0301, W0102, C0330, W0603 """This module is used to extract the key_holds times and digraph up_down times from the raw events of the subjects.""" import read_write import numpy as np import operator import time import general_purpose import sys import py_node_communication a...
40.569948
147
0.627075
1,077
7,830
4.252553
0.196843
0.037336
0.034061
0.031223
0.351747
0.265721
0.198908
0.139083
0.069869
0.069869
0
0.019652
0.265645
7,830
192
148
40.78125
0.77687
0.241635
0
0.263566
0
0
0.131399
0.005461
0
0
0
0
0
1
0.03876
false
0
0.054264
0
0.139535
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
7041318399ceaa12c9af5eb0808df75d0fc60902
37,836
py
Python
src/borg/repository.py
musoke/borg
808379921c4a679bb597db42b4412840d66f4fb1
[ "BSD-3-Clause" ]
null
null
null
src/borg/repository.py
musoke/borg
808379921c4a679bb597db42b4412840d66f4fb1
[ "BSD-3-Clause" ]
null
null
null
src/borg/repository.py
musoke/borg
808379921c4a679bb597db42b4412840d66f4fb1
[ "BSD-3-Clause" ]
null
null
null
import errno import os import shutil import struct from binascii import unhexlify from collections import defaultdict from configparser import ConfigParser from datetime import datetime from functools import partial from itertools import islice from zlib import crc32 import msgpack import logging logger = logging.get...
42.086763
130
0.597341
4,644
37,836
4.727821
0.124677
0.044999
0.01002
0.010202
0.33262
0.267672
0.213427
0.176171
0.143378
0.108308
0
0.005245
0.309599
37,836
898
131
42.13363
0.835273
0.143012
0
0.335219
0
0
0.063641
0
0
0
0.00156
0
0.014144
1
0.083451
false
0.005658
0.031117
0.007072
0.188119
0.001414
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
704239be8a576b9afe64abe3d128ac6481c4c3c9
848
py
Python
care/facility/api/serializers/uccbedrequest.py
tncwr/care
97731bfa8371332d898d82152e9cd85bbedea8c5
[ "MIT" ]
null
null
null
care/facility/api/serializers/uccbedrequest.py
tncwr/care
97731bfa8371332d898d82152e9cd85bbedea8c5
[ "MIT" ]
null
null
null
care/facility/api/serializers/uccbedrequest.py
tncwr/care
97731bfa8371332d898d82152e9cd85bbedea8c5
[ "MIT" ]
null
null
null
from django.db.models import F from rest_framework import serializers from care.facility.models.uccbedrequest import UCCBedRequest from care.users.api.serializers.user import UserBaseMinimumSerializer from config.serializers import ChoiceField from care.facility.api.serializers import TIMESTAMP_FIELDS class UCCBed...
26.5
85
0.693396
85
848
6.752941
0.541176
0.041812
0.055749
0.062718
0
0
0
0
0
0
0
0
0.238208
848
31
86
27.354839
0.888545
0.075472
0
0
0
0
0.054917
0
0
0
0
0
0
1
0.047619
false
0
0.285714
0
0.47619
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
70465e9867bb2b388f94f65d7c4303d55318d2bb
1,126
py
Python
mtorch/core/data/data_loaders/vision/cifar10.py
NullConvergence/torch_temp
29a0d7190f0be6124f51bd85b8320cd8b3cef29a
[ "MIT" ]
3
2019-08-08T13:23:50.000Z
2019-08-15T15:29:36.000Z
mtorch/core/data/data_loaders/vision/cifar10.py
NullConvergence/torch-template
29a0d7190f0be6124f51bd85b8320cd8b3cef29a
[ "MIT" ]
10
2019-09-20T21:25:22.000Z
2019-10-16T10:52:04.000Z
mtorch/core/data/data_loaders/vision/cifar10.py
NullConvergence/mtorch
29a0d7190f0be6124f51bd85b8320cd8b3cef29a
[ "MIT" ]
2
2019-08-08T13:23:52.000Z
2019-08-08T19:46:55.000Z
from torchvision import datasets, transforms from core.data.data_loaders.base import BaseDataLoader class CIFAR10Loader(BaseDataLoader): """ CIFAR10 data loading + transformations """ def __init__(self, data_dir, batch_size=128, training=True, validation_spl...
36.322581
79
0.601243
113
1,126
5.752212
0.530973
0.043077
0.050769
0
0
0
0
0
0
0
0
0.01627
0.290409
1,126
30
80
37.533333
0.797247
0.033748
0
0
0
0
0.099074
0.02037
0
0
0
0
0
1
0.086957
false
0
0.086957
0.043478
0.217391
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
7046602c016348dec7c023f79d562d05998a1063
1,751
py
Python
rtutil/content_data.py
yaakiyu/rt-bot
f68bca95c516e08c31ecc846524dcea4c8ba1503
[ "BSD-4-Clause" ]
null
null
null
rtutil/content_data.py
yaakiyu/rt-bot
f68bca95c516e08c31ecc846524dcea4c8ba1503
[ "BSD-4-Clause" ]
null
null
null
rtutil/content_data.py
yaakiyu/rt-bot
f68bca95c516e08c31ecc846524dcea4c8ba1503
[ "BSD-4-Clause" ]
null
null
null
# RT Util - Content Data from typing import TypedDict, Any from textwrap import shorten from discord import Embed from orjson import loads from .utils import is_json __all__ = ( "ContentData", "disable_content_json", "enable_content_json", "convert_content_json", "to_text" ) class ContentData(TypedDict...
29.677966
95
0.683038
210
1,751
5.52381
0.295238
0.075862
0.087931
0.044828
0.231034
0.167241
0.167241
0.117241
0.117241
0.117241
0
0.002095
0.182182
1,751
59
96
29.677966
0.807961
0.100514
0
0.119048
0
0
0.211227
0.085648
0
0
0
0
0
1
0.095238
false
0
0.119048
0
0.404762
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